statistica aplicată (serii de timp, analiza componentelor principale)

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Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi 1(112) GR093/UEFISCSU: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi (MEC/93GR/7.06.2007) RAPORT DE CERCETARE ÎN EXTENSO Sorana D. BOLBOACĂ, Lorentz JÄNTSCHI Cadru: Programul: Granturi CNCSIS Tipul: Programe Anuale pentru Tineri (AT) Cod proiect: GR093/2007 Denumirea proiectului: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi Amplasament: Ministerul Educaţiei, Cercetării şi Tineretului Universitatea de Medicină şi Farmacie "Iuliu Haţieganu" Cluj-Napoca Radiologie, Imagistică Anatomică şi Funcţională, Biofizică şi Informatică Medicală Catedra de Informatică Medicală şi Biostatistică Str. Louis Pasteur 6, 400349 Cluj-Napoca, Romania, EU

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Page 1: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi

1(112)

GR093/UEFISCSU: Statistica Aplicată (Serii de Timp,

Analiza Componentelor Principale) - Colagen -

Caracterizare Structură/Proprietăţi

(MEC/93GR/7.06.2007)

RAPORT DE CERCETARE ÎN EXTENSO

Sorana D. BOLBOACĂ, Lorentz JÄNTSCHI

Cadru:

Programul: Granturi CNCSIS Tipul: Programe Anuale pentru Tineri (AT) Cod proiect: GR093/2007 Denumirea proiectului:

Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen -Caracterizare Structură/Proprietăţi

Amplasament:

Ministerul Educaţiei, Cercetării şi Tineretului Universitatea de Medicină şi Farmacie "Iuliu Haţieganu" Cluj-Napoca Radiologie, Imagistică Anatomică şi Funcţională, Biofizică şi Informatică Medicală Catedra de Informatică Medicală şi Biostatistică Str. Louis Pasteur 6, 400349 Cluj-Napoca, Romania, EU

Page 2: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Cuprins

Cadrul general al proiectului ................................................................3

Prevederi contractuale specifice ...........................................................4

Cadrul specific al proiectului................................................................5

Problematica cercetării .........................................................................8

Metodologia cercetării........................................................................13

Obiective şi rezultate "Documentare" ................................................15

Obiective şi rezultate "Design metodologic"......................................23

Obiective şi rezultate "Modelare relaţii structură-proprietate"...........26

Obiective şi rezultate "Caracterizare relaţii structură-proprietate" .....31

Obiective şi rezultate "Analiza colagen tip I".....................................44

Obiective şi rezultate "Modelare colagen tip I"..................................69

Obiective şi rezultate "Elaborare modele"..........................................82

Obiective şi rezultate "Disponibilizare rezultate".............................105

Concluzii ..........................................................................................108

Referinţe ...........................................................................................111

2(112)

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Cadrul general al proiectului

Proiectul intitulat Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) -

Colagen - Caracterizare Structură/Proprietăţi a fost finanţat din fonduri publice în cadrul

programului Granturi CNCSIS în cadrul tipului: Programe Anuale pentru Tineri (acronim: AT).

Scopul general al proiectelor AT a fost să încurajeze tinerii cercetători de valoare, doctori

în ştiinţe, pentru a-şi putea realiza cercetările ştiinţifice de nivel ridicat cu precădere prin

utilizarea infrastructurii performante de cercetare existente în ţară. Obiectivele generale ale

proiectelor AT au fost: să ofere tinerilor cercetători un suport eficient pentru efectuarea în tară a

cercetării ştiinţifice post-doctorale, inclusiv pentru continuarea în tară a unor lucrări de cercetare

efectuate în universităţi şi institute de cercetare de peste hotare; sprijinirea formării resursei

umane performante pentru cercetare; dezvoltarea capacităţii manageriale a tinerilor cercetători;

creşterea capacităţii tinerilor de a atrage fonduri pentru cercetare; încurajarea valorilor tinere

autentice din cercetarea ştiinţifica / creaţia artistică, prin oferirea de alternative reale de lucru în

cadrul colectivelor de cercetare / creaţia artistică din tară. Criteriile de eligibilitate pentru

proiectele ET au fost: tema propusă urmăreşte identificarea şi formularea de probleme ştiinţifice

fundamentale ne-abordate sau abordate parţial, de a elabora planuri de cercetare credibile şi de a

le promova; un aplicant poate face parte din cel mult două propuneri de proiecte noi sau în

continuare (tip A şi tip AT), din care numai la unul în calitate de director; directorul de proiect şi

membrii echipei de cercetare au, pe întreaga perioada de derulare a proiectului, vârsta mai mică

sau egala cu 35 de ani; directorul de proiect este doctor în ştiinţe; directorul de proiect are

activitatea profesională de bază în instituţia care propune proiectul, pe întreaga perioadă de

derulare a grantului; proiectul are durata de max. 2 ani; fiecărui obiectiv îi corespund mai multe

activităţi de realizare; fiecărei activităţi îi corespunde o valoare (nu se admit proiecte cu un singur

obiectiv şi o singură activitate); instituţia din care face parte aplicantul este eligibilă (instituţii de

învăţământ superior acreditate, precum şi unităţi şi instituţii de cercetare-dezvoltare, atestate

pentru a desfăşura activităţi de cercetare-dezvoltare); tema propusă prin obiectivele sale nu face

obiectul finanţării bugetare în cadrul altui program naţional de cercetare în ultimii patru ani;

propunerile de proiecte se scriu în limba română şi în limba engleză; instituţia din care face parte

aplicantul a transmis către CNCSIS documente privind strategia ei de cercetare ştiinţifică şi

componenţa consiliului ştiinţific. Nivelul de finanţare a fost de maxim 100000 lei/an.

Page 4: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Prevederi contractuale specifice

Proiectele AT s-au finanţat prin intermediul unui Contract de Finanţare încheiat între

persoane juridice Autoritatea Contractantă (UEFISCSU) şi Contractor (universitatea sau institutul

de cercetare în care a fost încadrat directorul de proiect, în cazul de faţă Universitatea de Medicină

şi Farmacie "Iuliu Haţieganu" Cluj-Napoca - acronim: UMFIH). Lucrările efectuate în cadrul

proiectului pe parcursul desfăşurării acestuia au fost reglementate prin întocmirea de documente

specifice, pe etape (Raport intermediar de efectuare lucrări, Proces verbal de avizare internă a

rezultatelor, State de plată, şi Deviz cadru postcalcul) şi anual (Sinteza lucrării, Proces verbal de

avizare internă a rezultatelor, State de plată, Deviz cadru postcalcul şi Lucrare în extenso).

O prevedere contractuală specifică a constituit-o încărcarea în formatul web al proiectului

de cercetare, pus la dispoziţie de UEFISCSU, documentele de contractare, monitorizare şi

raportare.

Prezentul raport a fost încheiat în baza prevederii 5.1.8 din contractul aferent grantului,

semnat la data de 23.05.2007 (din partea contractorului) şi data de 7.06.2007 (din partea autorităţii

contractante.

4(112)

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Cadrul specific al proiectului

Scopul proiectului a fost caracterizarea relaţiilor structură proprietate ale colagenului prin

folosirea instrumentelor statisticii aplicate. Termenii cercetării sunt: material - colagen tip I;

proprietate - hidrofobicitate aminoacizi; metode - serii de timp; - analiza componentelor principale.

Obiectivele cercetării au fost: Documentare şi design metodologic (obiectiv

managerial/administrativ); Modelare şi caracterizare relaţii structură-proprietate (obiectiv

ştiintific - cercetare fundamentală şi aplicativă); Analiza şi modelarea - colagen tip I (obiectiv

ştiinţific - cercetare fundamentală şi aplicativă); Elaborarea modelelor şi disponibilizare rezultate

(obiectiv ştiinţific - cercetare fundamentală şi aplicativă).

Activităţile desfăşurate pentru atingerea obiectivelor au fost:

÷ Participări la manifestări ştiinţifice şi dobândirea de competenţe complementare (asociată

obiectiv Documentare şi design metodologic - 7367 lei);

÷ Crearea băncilor de date: aminoacizi şi proprietăţi; colagen de tip I (asociată obiectiv

Documentare şi design metodologic - 9966 lei);

÷ Stabilirea etapelor de modelare pentru aminoacizi şi de analiză statistică pentru colagenul de

tip I (asociată obiectiv Documentare şi design metodologic - 4500 lei);

÷ Elaborarea specificaţiilor pentru tehnologia de calcul; Achiziţie, instalare, testare şi

configurare aparatură suport (asociată obiectiv Documentare şi design metodologic - 22250

lei);

÷ Generare familie de descriptori pentru aminoacizi; Identificare modele (asociată obiectiv

Modelare şi caracterizare relaţii structură-proprietate - 17225 lei);

÷ Validare modele şi caracterizare statistică - predictie versus estimare (asociată obiectiv

Modelare şi caracterizare relaţii structură-proprietate - 6517 lei);

÷ Participări la manifestări ştiinţifice şi dobândirea de competenţe complementare (asociată

obiectiv Modelare şi caracterizare relaţii structură-proprietate - 13175 lei);

÷ Analiza componentelor principale - colagen tip I; Analiza periodicităţii/ciclicităţii

aminoacizilor din colagenul de tip I (asociată obiectiv Analiza şi modelarea - colagen tip I -

11542 lei);

÷ Modelare matematică - colagen tip I (asociată obiectiv Analiza şi modelarea - colagen tip I -

4200 lei);

÷ Participări la manifestări ştiinţifice şi dobândirea de competenţe complementare (asociată

obiectiv Analiza şi modelarea - colagen tip I - 5558 lei);

Page 6: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

÷ Elaborare metodologie modele (asociată obiectiv Elaborarea modelelor şi disponibilizare

rezultate - 7425 lei);

÷ Participări la manifestări ştiinţifice şi dobândirea de competenţe complementare (asociată

obiectiv Elaborarea modelelor şi disponibilizare rezultate - 6575 lei);

÷ Validare modele (asociată obiectiv Elaborarea modelelor şi disponibilizare rezultate - 3822

lei);

÷ Proiectare aplicaţii soft online (asociată obiectiv Elaborarea modelelor şi disponibilizare

rezultate - 3750 lei);

÷ Implementare şi testare module (asociată obiectiv Elaborarea modelelor şi disponibilizare

rezultate - 3750 lei);

÷ Integrare module, testare aplicaţii (asociată obiectiv Elaborarea modelelor şi disponibilizare

rezultate - 19470 lei);

÷ Specificare şi publicare online (asociată obiectiv Elaborarea modelelor şi disponibilizare

rezultate - 5958 lei).

Participanţii activi la derularea activităţilor proiectului au fost: Sorana D. BOLBOACĂ (n.

1973, drd. în Informatică Medicală din 2001, dr. în Informatică Medicală din 2006), în calitate de

investigator principal; Lorentz JÄNTSCHI (n. 1973, dr. în Chimie Organică din 2000), în calitate de

co-investigator; Sorana CÎMPAN (n. 1973, dr. în Ştiinţa Calculatoarelor din 2000), în calitate de co-

investigator; Irina VOICULESCU (n. 1973, dr. în Modelare Geometrică din 2001); Villő PÁLFI (n.

1979, drd. în Biochimie din 2003); Ioan OPREA (n. 1982, licenţiat în Medicină din 2007; student la

Fizică din 2005; rezident în Radiologie - Imagistică Medicală din 2008).

Activităţile efectuate s-au încadrat în obiectivele generale ale proiectelor AT astfel:

• cercetări fundamentale şi aplicative cu grad ridicat de originalitate: Proiectarea şi realizarea de

modele, Proiectarea, implementarea şi testarea de module, Integrare module şi testare aplicaţii,

Efectuarea de experimente cantitative;

• participarea la manifestări ştiinţifice internaţionale de mare vizibilitate (acronim: MSIMV) şi

dobândirea de competenţe complementare (acronim: DCC):

1. Math/Chem/Comp 2007 - The 22nd International Course & Conference on the Interfaces

among Mathematics, Chemistry & Computer Sciences, Inter-University Center Dubrovnik,

Rudjer Boskovic Institute Zagreb, University of Zagreb, University of Split, International

Society for Mathematical Chemistry, International Society for Theoretical Chemical Physics,

11-16.Iun.2007, Dubrovnik, Croatia - MSIMV;

2. Fourth International Conference of Applied Mathematics and Computing, University of

Chemical Technology and Metallurgy Sofia, Technical University of Plovdiv, 12-

18.Aug.2007, Plovdiv, Bulgaria - DCC;

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3. 9th Annual Conference of the Yugoslav Materials Research Society, Serbian Academy of

Sciences and Arts, 10-14.Sept.2007, Herceg Novi, Montenegro - MSIMV;

4. BBCAC-4 4th Black Sea Basin Conference on Analytical Chemistry, "St. Kliment Ohridski"

University of Sofia, 19-23.Sept.2007, Sunny Beach, Bulgaria - MSIMV;

5. ChemMod 2007 - Chemical Graph Theory and Molecular Modeling Workshop, European

Society of Mathematical Chemistry (inaugural event), 23-26.Oct.2007, Cluj-Napoca,

Romania - MSIMV;

6. Accelrys Science Forum 2007, Accelrys Software Inc., Cambridge Science Park, 334

Cambridge Science Park, Cambridge CB4 0WN UK - DCC;

7. Introduction to Bioinformatics at CBRG 2007 - University of Oxford Computational Biology

Research Group, Sir William Dunn School of Pathology, Medical Sciences Teaching Centre

South Parks Road Oxford OX1 3PL UK & Medical Sciences Office John Radcliffe Hospital

Headington Oxford OX3 9DU UK - DCC;

8. Recent Advances in Synthesys & Chemical Biology VI, Centre for Synthesis & Chemical

Biology, University of Dublin, Symposium, 14.Dec.2007, Dublin, Ireland - DCC;

9. Introduction to Practical Statistics for Medical Research, University College London,

UCLH/UCL Biomedical Research Unit, UCL Statistical Science, MRC Clinical Trials Unit,

April 7-10, 2008 - DCC;

10. Strasbourg Summer School on Chemoinformatics 2008, Louis Pasteur University of

Strasbourg, 22-25.Jun.2008, Strasbourg, France - DCC;

11. Summer School on Neural Networks in Classification, Regression and Data Mining, Instituto

Superior de Engenharia do Porto, 07-11.Jul.2008, Porto, Portugal - DCC.

Page 8: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Problematica cercetării

Biologia moleculară a facut mari progrese în observarea şi caracterizarea aminoacizilor şi a

rolului acestora. Un pas important s-a realizat odată cu crearea matricilor de substituţie (ca de

exemplu familiile PAM si BLOSUM) care constituie punctul central al procedurilor bioinformatice,

de la algoritmi care determina dacă [Henikoff S, Henikoff JG. Performance evaluation of amino acid

substitution matrices. Proteins. 1993;17:49-61] şi cum anume [Jeanmougin F, Thompson JD, Gouy

M, Higgins DG, Gibson TJ. Multiple sequence alignment with Clustal X. Trends Biochem Sci.

1998;23:403-405] două proteine sunt omoloage la predicţia structurii terţiare a proteinelor prin

compararea cu amprente cunoscute [Tress, M.; Ezkurdia, I.; Grana, O.; Lopez, G.; Valencia, A.

Assessment of predictions submitted for the CASP6 comparative modelling category. Proteins.

2005;61(Suppl 7):27-45].

Studii care raportează folosirea descriptorilor moleculari în analiza proprietăţilor biofizice ale

aminoacizilor datează din anii ’70 [Grantham R. Amino acid difference formula to help explain

protein evolution. Science. 1974;185:862-864]. Folosirea descriptorilor moleculari in analiza

animo-acizilor se regaseste si astazi in preocuparile cercetatorilor din domeniu [Silva MF, Chipre

LF, Raba J, Luco JM. Amino acids characterization by reversed-phase liquid chromatography.

Partial least-squares modeling of their transport properties. Chromatographia 2001;53(7-8):392-

400; Ivanisenko VA, Eroshkin AM, Kolchanov NA. WebProAnalyst: an interactive tool for analysis

of quantitative structure-activity relationships in protein families. Nucleic Acids Res. 2005 Jul

1;33(Web Server issue):W99-104]. Preocupările cercetatorilor din domeniu în studiul mutatiilor

sunt de necontestat [Teodorescu O, Galor T, Pillardy J, Elber R. Enriching the sequence

substitution matrix by structural information. Proteins. 2004;54:41-48; Fitch WM. An improved

method of testing for evolutionary homology. J Mol Biol. 1966;16:9-16; Schneider A, Cannarozzi

GM, Gonnet GH. Empirical codon substitution matrix. BMC Bioinformatics. 2005;6:134] iar

stabilirea acuratetii şi a legăturii cantitative dintre rezultatul evolutiei moleculare şi descriptorii

moleculari ai amino-acizilor rămane un subiect complex, fiind în centrul atenţiei multor cercetatori

[Fujitsuka Y, Chikenji G, Takada S. SimFold energy function for de novo protein structure

prediction: Consensus with Rosetta. Proteins. 2006;62(2):381-98; Yampolsky LY, Stoltzfus A. The

exchangeability of amino acids in proteins. Genetics. 2005;170:1459-1472; Dosztanyi Z, Torda AE.

Amino acid similarity matrices based on force fields. Bioinformatics. 2001;17:686-699].

Hidrofobicitatea, proprietatea fizică a unei molecule de a nu se combina cu apa, este una din cele

mai studiate proprietăţi a alfa aminoacizilor. Cu toate că este una din proprietăţile cele mai studiate,

valorile acesteia sunt diferite, neexistând nici un consens în acest sens [Kyte J, Doolittle RF. A

Simple Method for Displaying the Hydropathic Character of a Protein J Mol Biol.

8(112)

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Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi

9(112)

1982;157(1):105-32; Wimley WC, White SH. Experimentally determined hydrophobicity scale for

proteins at membrane interfaces. Nat Struct Biol. 1996;3(10):842-8; Hessa T, Kim H, Bihlmaier K,

Lundin C, Boekel J, Andersson H, Nilsson I, White SH, von Heijne G. Recognition of

transmembrane helices by the endoplasmic reticulum translocon. Nature. 2005;433(7024):377-81;

Black SD, Mould DR. Development of hydrophobicity parameters to analyze proteins which bear

post- or cotranslational modifications.Anal Biochem. 1991;193(1):72-82].

Printre metodele statistice utilizate în caracterizarea amino-acizilor şi a colagenului de tip I

se regăsesc: regresia liniară simplă şi multiplă [Silva MF, Chipre LF, Raba J, Luco JM. Amino acids

characterization by reversed-phase liquid chromatography. Partial least-squares modeling of their

transport properties. Chromatographia 2001;53(7-8):392-400], reţele neuronale [Ma W, Chen S,

Fitzgerald W, Marie D, Lin HJ, O'Shaughnessy TJ, Kelly J, Liu X.-H., Barker JL. Three-

dimensional collagen gel networks for neural stem cell-based neural tissue engineering.

Macromolecular Symposia 2005;227:327-333], corelaţii [Yoshihara F, Nishikimi T, Sasako Y, Hino

J, Kobayashi J et all. Plasma atrial natriuretic peptide concentration inversely correlates with left

atrial collagen volume fraction in patients with atrial fibrillation: Plasma ANP as a possible

biochemical marker to predict the outcome of the maze procedure. J. Am. Coll. Cardiol.

2002;39(2):288-294]. Nu au fost identificare studii care sa refere ca şi analiză statistică a

colagenului de tip I seriile de timp sau analiza componentelor principale, metode folosite în proiect.

Alfa aminoacizii, componete cu rol esential în genetică, sunt structuri chimice care conţin

legat la acelaşi atom de carbon grupările amino şi carboxilic. Denumirea uzuală şi sintetică,

abrevierea (cu o singura literă şi cu trei litere), structura chimică, formula moleculară [Vollhardt

KPC. Organic Chemistry. Chapter 27, WH Freeman and Company. New York; 1987, p. 1230-

1233], şi greutatea moleculară [David L. Nelson and Michael M. Cox, Lehninger Principles of

Biochemistry, 3rd edition, 2000, Worth Publishers] a douăzeci de alfa-aminoacizi (numiţi

aminoacizi esenţiali) sunt prezentate în Tabelul 1. În Tabelul 1, greutatea moleculară este pentru

aminoacizi neutrii liberi, greutatea rezidului putându-se obţine prin scăderea echivalentului apei (18

g/mol).

Se cunosc astăzi codonii corespunzători fiecarui aminoacid. Relatia dintre diferite proprietăţi

fizico-chimice şi biochimice ale rezidurilor de amino-acizi a fost studiată de Nakai et al. in 1988

prin analiza de tip cluster ierarhică [Nakai K, Kidera A, Kanehisa M. Cluster analysis of amino acid

indices for prediction of protein structure and function. Protein Eng. 1988;2(2):93-100]. Nakai şi

alţii au descris cu această ocazie câteva scale de hidrofobicitate, creând astfel o resursă utilă în

analiza empirică a corelaţiei secventelor de informaţii cu structura şi proprietatile proteinelor. Tomii

şi Kanehisa au extins această bază de date [Tomii K, Kanehisa M. Analysis of amino acid indices

and mutation matrices for sequence comparison and structure prediction of proteins. Protein Eng.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

1996;9(1):27-36], ajungand la 402 indicatori (222 în Nakai şi alţii). Baza de date dezvoltată de

Tomii şi Kanehisa este realizată folosind 29 de metode diferite pentru proprietatea denumită

hidrofobicitate. Ideea a fost dezvoltată ulterior de Bulka şi alţii [Bulka B, desJardins M, Freeland

SJ. An interactive visualization tool to explore the biophysical properties of amino acids and their

contribution to substitution matrices. BMC Bioinformatics. 2006;7:329], care au creat un

instrument care facilitează accesul rapid la: o serie de descriptori moleculari pentru douăzeci de

aminoacizi; corelatia dintre 49 de proprietăţi biofizice ale acestora şi modele de substituţie ale

amino-acizilor; cauza diferenţei dintre două modele de substituţie diferite.

Tabelul 1. Alfa-aminoacizi

Abrev. Denumire uzuală

Denumire sistemică 3 1

Structura chimică Formula Masă

Alanine (S)-2-aminopropanoic acid

Ala ACH3CH C OH

NH2 O

C3H7NO2 89.09

Cysteine (2R)-2-amino-3-sulfanyl-propanoic acid

Cys C HSCH2CH C

NH2

OH

O

C3H7NO2S 121.16

Aspartate (2S)-2-aminobutanedioic acid

Asp DHO C CH2CH

O

C OH

ONH2

C4H7NO4 133.10

Glutamate (2S)-2-aminopentanedioic acid

Glu E HO C CH2CH2CH

O

C OH

ONH2

C5H9NO4 147.13

Phenylalanine 2-Amino-3-phenyl- propanoic acid

Phe F CH2CH C

NH2

OH

O

C9H11NO2 165.19

Glycine aminoethanoic acid Gly GH2NCH2 C OH

O

C2H5NO2 75.07

Histidine 2-amino-3-(3H-imidazol-4-yl)propanoic acid

His HN

NH

CH2CH C

NH2

OH

O

C6H9N3O2 155.16

Isoleucine (2S,3S)-2-amino-3-methylpentanoic acid

Ile I CH3CH2CHCH C OH

O

CH3

NH2

C6H13NO2 131.18

Lysine (S)-2,6-Diaminohexanoic acid

Lys KH2NCH2CH2CH2CH2CH C

NH2

OH

O

C6H14N2O2 146.19

Leucine (S)-2-amino-4-methyl-pentanoic acid

Leu L CH3CHCH2CH C OH

ONH2CH3

C6H13NO2 131.18

Methionine (S)-2-amino-4-(methylsulfanyl)-butanoic acid

Met MCH3SCH2CH2CH C

NH2

OH

O

C5H11NO2S 149.21

Asparagine (2S)-2-amino-3-carbamoyl-propanoic acid

Asn NH2N C CH2CH

O

C OH

ONH2

C4H8N2O3 132.12

Proline (S)-Pyrrolidine-2-carboxylic acid

Pro P NH C OH

O

C5H9NO2 115.13

Glutamine (2S)-2-amino-4-carbamoyl-butanoic acid

Gln QH2N C CH2CH2CH

O

C OH

ONH2

C5H10N2O3 146.15

10(112)

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Arginine 2-amino-5-(diaminomethylidene amino) pentanoic acid

Arg R H2N C NHCH2CH2CH2CH

H

C OH

ONH2

C6H14N4O2 174.20

Serine (S)-2-amino-3-hydroxypropanoic acid

Ser S HOCH2CH C

NH2

OH

O

C3H7NO3 105.09

Threonine (2S,3R)-2-Amino-3-hydroxybutanoic acid

The T CH3CHCH

OH

C OH

OCH3

C4H9NO3 119.12

Valine (S)-2-amino-3-methyl-butanoic acid

Val VCH3CHCH C OH

O

NH2

CH3

C5H11NO2 117.15

Tryptophan (S)-2-Amino-3-(1H-indol-3-yl)- propanoic acid

Trp W

NH

CH2CH C OH

ONH2

C11H12N2O2 204.23

Tyrosine (S)-2-Amino-3-(4-hydroxy-phenyl)-propanoic acid

Tyr YHO CH2CH

NH2

C OH

O

C9H11NO3 181.19

Colagenul este proteina principală a ţesuturilor conective la animale, fiind cea mai

abundentă proteină la mamifere. Este o proteină structurală fibroasă, inextensibilă, regăsindu-se la

nivelul ţesuturilor conective din inimă, vase, piele, cornee, cartilaje, ligamente, tendoane, oase şi

dinţi. La ora actuală se cunosc 28 de tipuri de colagen [Veit G, Kobbe B, Keene DR, Paulsson M,

Koch M, Wagener R. Collagen XXVIII, a novel von Willebrand factor A domain-containing protein

with many imperfections in the collagenous domain. J Biol Chem. 2006;281(6):3494-504].

Structura colagenului de tip I, distribuit ubicvitar la nivelul organismului, se cunoaşte de mult timp

[Kadler KE, Holmes DF, Trotter JA, Chapman JA Collagen fibril formation. Biochem J

1996;316:1-11]. Studierea aranjamentului structural a fost în atenţia multor cercetători [Hulmes DJ,

Miller A. Quasi-hexagonal molecular packing in collagen fibrils. Nature. 1979;282(5741):878-80;

Fraser RD, MacRae TP, Miller A. Molecular packing in type I collagen fibrils. J Mol Biol.

1987;193(1):115-25; Wess TJ, Hammersley AP, Wess L, Miller A. Molecular packing of type I

collagen in tendon. J Mol Biol. 1998 Jan 16;275(2):255-67; Kramer RZ, Bella J, Brodsky B,

Berman HM. The crystal and molecular structure of a collagen-like peptide with a biologically

relevant sequence. J Mol Biol. 2001;311(1):131-47; Venturoni M, Gutsmann T, Fantner GE, Kindt

JH, Hansma PK. Investigations into the polymorphism of rat tail tendon fibrils using atomic force

microscopy. Biochem Biophys Res Commun. 2003;303(2):508-13]. Caracterizarea structurală a

colagenului de tip I a atins o nouă etapă în momentul folosirii tehnicilor de cristalografie

conventională în experimentele de difracţie cu raze X [Bradshaw JP, Miller A, Wess TJ. Phasing

the meridional diffraction pattern of type I collagen using isomorphous derivatives. J Mol Biol.

1989 Feb 20;205(4):685-94; Orgel JP, Wess TJ, Miller A. The in situ conformation and axial

location of the intermolecular cross-linked non-helical telopeptides of type I collagen. Structure.

2000;8(2):137-42; Orgel JP, Miller A, Irving TC, Fischetti RF, Hammersley AP, Wess TJ. The in

Page 12: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

situ supermolecular structure of type I collagen, Structure. 2001;9(11):1061-9], culminând cu

crearea hărţii electron-densitate [Orgel JP, Miller A, Irving TC, Fischetti RF, Hammersley AP, Wess

TJ. The in situ supermolecular structure of type I collagen, Structure. 2001;9(11):1061-9; Orgel

JPRO, Miller A, Irving TC, Wess TJ. Fibre Diffraction Rev. 2002;10:40-50].

Caracterizarea structurii supermoleculare a colagenului de tip I prin determinare

cristalografică a fost publicată recent de Orgel şi alţii [Orgel JP, Irving TC, Miller A, Wess TJ.

Microfibrillar structure of type I collagen in situ. Proc Natl Acad Sci U S A. 2006;103(24):9001-5].

Structura tri-dimensională a colagenului de tip I a fost definită prin cristalografie (P1, a ≈ 40.0 Å, b

≈ 27.0 Å, c ≈ 678 Å, α ≈ 89.2°, β ≈ 94.6°, γ ≈ 105.6°; reflexie: 414, suprapunere, 232, şi

nesuprapunere, 182; rezoluţie, 5.16 Å axial şi 11.1 Å ecuatorial). Structura obţinută a evidenţiat că

împachetarea moleculelor de colagen formează o microfibră foarte contorsionată (discontinuă) cu

răsucire spre dreapta care vine în contact cu fibrilele învecinate.

Se cunoaşte astăzi rolul colagenului de tip I în osteogeneza imperfecta [Pollitt R, McMahon

R, Nunn J, Bamford R, Afifi A, Bishop N, Dalton A. Mutation analysis of COL1A1 and COL1A2 in

patients diagnosed with osteogenesis imperfecta type I-IV. Hum Mutat. 2006;27(7):716; Makareeva

E, Cabral WA, Marini JC, Leikin S. Molecular mechanism of alpha 1(I)-osteogenesis

imperfecta/Ehlers-Danlos syndrome: unfolding of an N-anchor domain at the N-terminal end of the

type I collagen triple helix. J Biol Chem. 2006;281(10):6463-70], osteoporoza [Ralston SH,

Uitterlinden AG, Brandi ML, Balcells S, Langdahl BL, Lips P, et al. Large-scale evidence for the

effect of the COLIA1 Sp1 polymorphism on osteoporosis outcomes: the GENOMOS study. PLoS

Med. 2006;3(4):e90], sindromul Ehlers-Danlos tipul VIIA [Pollitt R, McMahon R, Nunn J, Bamford

R, Afifi A, Bishop N, Dalton A. Mutation analysis of COL1A1 and COL1A2 in patients diagnosed

with osteogenesis imperfecta type I-IV. Hum Mutat. 2006;27(7):716; Cabral WA, Makareeva E,

Colige A, Letocha AD, Ty JM, Yeowell HN et al. Mutations near amino end of alpha1(I) collagen

cause combined osteogenesis imperfecta/Ehlers-Danlos syndrome by interference with N-

propeptide processing. J Biol Chem. 2005;280(19):19259-69], boala Caffey [Gensure RC, Makitie

O, Barclay C, Chan C, Depalma SR, Bastepe M, et al. A novel COL1A1 mutation in infantile

cortical hyperostosis (Caffey disease) expands the spectrum of collagen-related disorders. J Clin

Invest. 2005;115(5):1250-7]. Astăzi, colagenul tip I determinat din urină şi procolagenul de tip I

determinat din sânge se foloseşte ca şi indicator al metastazelor osoase [Fukumitsu N, Uchiyama M,

Mori Y, Kishimoto K, Nakada J. A comparative study of prostate specific antigen (PSA), C-terminal

propeptide of blood type I procollagen (PICP) and urine type I collagen-crosslinked N telopeptide

(NTx) levels using bone scintigraphy in prostate cancer patients. Ann Nucl Med. 2003;17(4):297-

303].

12(112)

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Metodologia cercetării

În prezentul proiect s-au realizat investigaţii structurale şi s-au obţinut relaţii între structura

şi proprietatea (hidrofobicitatea) colagenului de tip I prin folosirea metodelor statisticii aplicate, mai

concret serii de timp şi analiza componentelor principale. Obtinerea de modele care să explice

hidrofobicitatea colagenului de tip I plecând de la informaţii obţinute din structura acestuia (tipul

aminoacizilor, secvenţa acestora şi alte caracteristici structurale) prin folosirea tehnicii de calcul

permite caracterizarea tipului de colagen studiat şi extinderea metodei pentru a caracteriza alte

tipuri de colagen.

Modelarea prin analiza teoretică şi experimentală asistată de tehnica de calcul, analiza şi

caracterizarea proprietăţilor şi a relaţiilor dintre acestea şi structura compuşilor prin folosirea

metodelor statisticii aplicate, parte a preocuparilor echipei de cercetare, cosntituie instrumentul

principal folosit pentru obtinerea de noi cunoştinţe asupra colagenului de tip I. Este unanim

recunoascut faptul că activitatea de generare a cunoştinţelor ştiinţifice este primul pas al procesului

transpunerii cunosţintelor teoretice în practică, la nivelul tuturor domeniilor de cercetare. Scopul şi

obiectivele cercetării plasează activităţile de cercetare şi dezvoltare în aria de cercetare

interdisciplinară biologie moelculară - informatică medicală. Activităţile de cercetare-dezvoltare se

încadrează în categoriile cercetare fundamentală şi cercetare aplicativă. Activităţile de cercetare

pentru elaborarea şi implementarea modelelor relaţiei dintre structură şi proprietate a colagenului de

tip I încadreaza cercetarea în domeniul teoria informaţiei, subdomeniul de specialitate modelare şi

teoria calculului. Activităţile de modelare a structurii colagenului de tip I şi investigarea legăturii

dintre structură şi hidrofobicitate încadreaza cercetarea în domeniul biologie, subdomeniul biologie

moleculară. Sistemul soft realizat permite vizualizarea rezultatelor cercetării şi a parametrilor

statistici obtinuţi şi pe baza informatiilor rezultate, bazându-se pe cunoastere şi învatare incadrează

cercetarea în domeniul ştiinta calculatoarelor, subdomeniul tehnologia informatiei.

Metodologia de desfaşurare a cercetării curpinde:

1. Metodologia studiului colagenului de tip I

◊ realizarea bazei de date cu structura tridimensionala a colagenului de tip I;

◊ studierea periodicitatilor şi/sau ciclităţilor din structura amino-acizilor (serii de timp – vezi de

exemplu grupul GPRG care se repetă în poziţiile 7-10, 40-43, ... al primului lanţ de proteine)

◊ analiza componentelor principale în structura colagenului de tip I;

◊ integrarea informaţiilor obţinute prin analiza periodicităţii/ciclicităţii cu cele obţinute prin analiza

componentelor principale;

◊ identificarea metodelor de măsurare a hidrofobicităţii amino acizilor şi realizarea bazei de date cu

valori măsurate

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

pentru colagenul de tip I (structura – lanţuri de aminoacizi, greutate moleculară, proprietăţi -

hidrofoicitate);

2. Metodologia de investigare şi caracterizare a relaţiei structură-proprietate (amino-acizi)

◊ evaluarea resurselor hard şi soft necesare ţinând seama de complexitatea calculului la care va fi

supus sistemul;

◊ generarea bazei de descriptori moleculari;

◊ moledare moleculara şi elaborarea modelelor;

◊ crearea bazei de date a modelele identificate;

◊ identificarea celui mai bun model;

◊ validarea modelului molecular prin analiza abilităţilor de predicţie şi/sau estimare în funcţie de

datele disponibile.

3. Metodologia de proiectare şi implementare a sistemului online

◊ evaluarea resurselor hard şi soft necesare sistemului online;

◊ formularea specificaţiilor de intrare, ieşire şi calcul ale sistemului;

◊ proiectarea sistemului;

◊ proiectare, implementare şi testare;

◊ elaborare specificaţii;

◊ publicare online.

Identificarea şi caracterizarea legăturii dintre structura colagenului de tip I şi proprietăţile

acestuia probabil va contribui la creşterea nivelului de cunoştinte şi va permite extinderea

metodologiei de cercetare şi la alte tipuri de colagen.

14(112)

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Obiective şi rezultate Etapa I(2007).

Obiectiv: Documentare şi design metodologic

Documentare

În crearea băncii de date a amino acizilor, au fost identificate şi selectate pentru a fi utilizate

două baze de date:

o National Center for Biotechnology Information:

http://www.ncbi.nlm.nih.gov/Class/Structure/aa/aa_explorer.cgi

o AAIndex:

http://www.genome.ad.jp/dbget/aaindex.html

Iniţial a fost creată baza de date cu cei douăzeci de amino acizi esenţiali, ulterior baza de

date cu alţi amino acizi (denumiţi generic aminoacizi non standard).

Cei 20 de amino acizi incluşi în banca de date şi caracteristicile acestora sunt redate în

Tabelul 1 (pag. 10-11).

Pentru un grup de unsprezece amino acizi non standard a fost construită banca de date.

Caracteristicile acestora sunt redate în Tabelul 2.

Tabelul 2. Amino acizi non-standard selectaţi spre investigare

Denumire uzuală Abrev. Formula Masa molară (g/mol) Selenocysteine Sec U C3H7NO2Se 168.053 Pyrrolysine Pyl O C12H21N3O3 255.317 Lanthionine Lth - C6H12N2O4S 208.2318 2-Aminoisobutyric acid Aib - C4H9NO2 103.121 Dehydroalanine Dhd - C3H5NO2 87.077 Gamma-aminobutyric acid Gab - C4H9NO2 103.12 Ornithine Oth - C5H12N2O2 132.161 Citrulline Ciu - C6H13N3O3 175.2 Homocysteine Hcy - C4H9NO2S 135.186 Hydroxyproline Hyp - C5H9NO3 131.13 Dopamine Dop - C8H11NO2 153.178

Identificarea diferitelor proprietăţi ale amino acizilor s-a realizat folosind literatura de

specialitate. Următoarele proprietăţi au fost identificate, datele colectate şi utilizate pentru realizarea

băncii de date:

1. Hidrofobicitate: au fost identificate 24 de scale de hidrofobicitate publicate din 1978 până în

2005. Acestea sunt cuprinse în Tabelul 3 (primii 10 amino acizi) şi Tabelul 4 (următorii 10

amino acizi).

2. Alte proprietăţi ale amino acizilor standard: au fost identificate şi incluse în banca de date

o serie de alte proprietăţi ale amino acizilor esenţiali cum sunt: coeficientul de partiţie,

energia de partiţie, energia de contact efectivă a rezidurilor, coeficientul de retenţie, indexul

de flexibilitate, parametrii conformaţionali, frecvenţa normalizată a α-helix-ului,

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

mutabilitatea relativă, polaritatea, mutabilitatea, etc. Astfel 19 proprietăţi ale aminoacizilor

standard se află în Tabelul 5 (primii 10 amino acizi) şi Tabelul 6 (următorii 10 amino acizi).

3. O altă serie de proprietăţi şi parametrii cuantici care conferă proprietăţi ale proteinei ca

întreg au fost identificate [Bumble S. Computer Generated Physical Properties, CRC Press,

LLC, Boca Raton, 1999] şi stocate în baza de date creată.

Valorile măsurate ale proprietăţilor amino acizilor după cum urmează: toate scalele de

hidrofobicitate (24) şi 3 dintre alte proprietăţi au fost integrate online şi sunt disponibile la adresa:

http://l.academicdirect.org/Agriculture/Colagen/AminoAcidsProp/

Tabelul 3. Scale de hidrofobicitate (24) pentru 5 amino acizi standard (de la Ala la Cys)

Nr Sursă \ Amino Acid Ala Arg Asn Asp Cys 1 (Bull and Breese, 1974) 0.61 0.69 0.89 0.61 0.36 2 (Manavalan and Ponnuswamy, 1978) 13 11.7 11.4 10.9 14.6 3 (Janin, 1979) 0.3 -1.4 -0.5 -0.6 0.9 4 (Hoop and Woods, 1981) -0.5 3 0.2 3 -1 5 (Wilson and others, 1981) -0.3 -1.1 -0.2 -1.4 6.3 6 (Kyte and Doolittle, 1982) 1.8 -4.5 -3.5 -3.5 2.5 7 (Fauchere and Pliska, 1983) 0.31 -1 -0.6 -0.77 1.54 8 (Sweet and Eisenberg, 1983) -0.4 -0.6 -0.92 -1.31 0.17 9 (Eisenberg and others, 1984) 0.62 -2.5 -0.78 -0.9 0.29 10 (Rose and others, 1985) 0.74 0.64 0.63 0.62 0.91 11 (Welling and others, 1985) 1.15 0.58 -0.77 0.65 -1.2 12 (Engelman and others, 1986) 1.6 -12 -4.8 -9.2 2 13 (Parker and others, 1986) 2.1 4.2 7 10 1.4 14 (Rao and Argos, 1986) 1.36 0.15 0.33 0.11 1.27 15 (Cornette and others, 1987) 0.2 1.4 -0.5 -3.1 4.1 16 (Roseman, 1988) 0.39 -4 -1.91 -3.81 0.25 17 (Cowan and Whittaker, 1990): pH = 3.4 0.42 -1.6 -1.03 -0.51 0.84 18 (Cowan and Whittaker, 1990): pH = 7.5 0.35 -1.5 -0.99 -2.15 0.76 19 (Black and others, 1991) 0.62 0 0.24 0.03 0.68 20 (Sereda and others, 1994) 47 -26 -41 -18 52 21 (Monera and others, 1995) 41 -14 -28 -55 49 22 (Wimley and White, 1996) -0.17 -0.8 -0.42 -1.23 0.24 23 (Urry, 2004) -0.75 0.8 -0.05 -0.4 -1.9 24 (Hessa and others, 2005) 0.11 2.58 2.05 3.49 -0.1

Tabelul 4. Scale de hidrofobicitate (24) pentru 5 amino acizi standard (de la Gln la Ile)

Nr Sursă \ Amino Acid Gln Glu Gly His Ile 1 (Bull and Breese, 1974) 0.97 0.51 0.81 0.69 -1.45 2 (Manavalan and Ponnuswamy, 1978) 11.8 11.9 12.4 12.2 15.7 3 (Janin, 1979) -0.7 -0.7 0.3 -0.1 0.7 4 (Hoop and Woods, 1981) 0.2 3 0 -0.5 -1.8 5 (Wilson and others, 1981) -0.2 0 1.2 -1.3 4.3 6 (Kyte and Doolittle, 1982) -3.5 -3.5 -0.4 -3.2 4.5 7 (Fauchere and Pliska, 1983) -0.22 -0.64 0 0.13 1.8 8 (Sweet and Eisenberg, 1983) -0.91 -1.22 -0.67 -0.64 1.25 9 (Eisenberg and others, 1984) -0.85 -0.74 0.48 -0.4 1.38

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10 (Rose and others, 1985) 0.62 0.62 0.72 0.78 0.8811 (Welling and others, 1985) -0.11 -0.71 -1.84 3.12 -2.9212 (Engelman and others, 1986) -4.1 -8.2 1 -3 3.113 (Parker and others, 1986) 6 7.8 5.7 2.1 -814 (Rao and Argos, 1986) 0.33 0.25 1.09 0.68 1.4415 (Cornette and others, 1987) -2.8 -1.8 0 0.5 4.816 (Roseman, 1988) -1.3 -2.91 0 -0.64 1.8217 (Cowan and Whittaker, 1990): pH = 3.4 -0.96 -0.37 0 -2.28 1.8118 (Cowan and Whittaker, 1990): pH = 7.5 -0.93 -1.95 0 -0.65 1.8319 (Black and others, 1991) 0.25 0.04 0.5 0.17 0.9420 (Sereda and others, 1994) -18 8 0 -42 10021 (Monera and others, 1995) -10 -31 0 8 9922 (Wimley and White, 1996) -0.58 -2.02 -0.01 -0.96 0.3123 (Urry, 2004) 0.75 -1.3 0 -4.8 -3.6524 (Hessa and others, 2005) 2.36 2.68 0.74 2.06 -0.6

Tabelul 5. Scale de hidrofobicitate (24) pentru 10 amino acizi standard (de la Leu la Pro)

Nr Sursă \ Amino Acid Leu Lys Met Phe Pro 1 (Bull and Breese, 1974) -1.65 0.46 -0.66 -1.5 -0.172 (Manavalan and Ponnuswamy, 1978) 14.9 11.4 14.4 14 11.43 (Janin, 1979) 0.5 -1.8 0.4 0.5 -0.34 (Hoop and Woods, 1981) -1.8 3 -1.3 -2.5 05 (Wilson and others, 1981) 6.6 -3.6 2.5 7.5 2.26 (Kyte and Doolittle, 1982) 3.8 -3.9 1.9 2.8 -1.67 (Fauchere and Pliska, 1983) 1.7 -0.99 1.23 1.79 0.728 (Sweet and Eisenberg, 1983) 1.22 -0.67 1.02 1.92 0.499 (Eisenberg and others, 1984) 1.06 -1.5 0.64 1.19 0.12

10 (Rose and others, 1985) 0.85 0.52 0.85 0.88 0.6411 (Welling and others, 1985) 0.75 2.06 -3.85 -1.4 -0.5312 (Engelman and others, 1986) 2.8 -8.8 3.4 3.7 -0.213 (Parker and others, 1986) -9.2 5.7 -4.2 -9.2 2.114 (Rao and Argos, 1986) 1.47 0.09 1.42 1.57 0.5415 (Cornette and others, 1987) 5.7 -3.1 4.2 4.4 -2.216 (Roseman, 1988) 1.82 -2.77 0.96 2.27 0.9917 (Cowan and Whittaker, 1990) : pH = 3.4 1.8 -2.03 1.18 1.74 0.8618 (Cowan and Whittaker, 1990) : pH = 7.5 1.8 -1.54 1.1 1.69 0.8419 (Black and others, 1991) 0.94 0.28 0.74 1 0.7120 (Sereda and others, 1994) 100 -37 74 92 -4621 (Monera and others, 1995) 97 -23 74 100 N/A 22 (Wimley and White, 1996) 0.56 -0.99 0.23 1.13 -0.4523 (Urry, 2004) -4.05 -0.05 -1.5 -6.2 -1.124 (Hessa and others, 2005) -0.55 2.71 -0.1 -0.3 2.23

Tabelul 6. Scale de hidrofobicitate (24) pentru 10 amino acizi standard (de la Ser la Val)

Nr Sursă \ Amino Acid Ser Thr Trp Tyr Val 1 (Bull and Breese, 1974) 0.42 0.29 -1.2 -1.4 -0.75 2 (Manavalan and Ponnuswamy, 1978) 11.2 11.7 13.9 13.4 15.7 3 (Janin, 1979) -0.1 -0.2 0.3 -0.4 0.6 4 (Hoop and Woods, 1981) 0.3 -0.4 -3.4 -2.3 -1.5

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

5 (Wilson and others, 1981) -0.6 -2.2 7.9 7.1 5.9 6 (Kyte and Doolittle, 1982) -0.8 -0.7 -0.9 -1.3 4.2 7 (Fauchere and Pliska, 1983) -0.04 0.26 2.25 0.96 1.22 8 (Sweet and Eisenberg, 1983) 0.55 -0.3 0.5 1.67 0.91 9 (Eisenberg and others, 1984) -0.18 -0.1 0.81 0.26 1.08

10 (Rose and others, 1985) 0.66 0.7 0.85 0.76 0.86 11 (Welling and others, 1985) -0.26 -0.5 -1.14 0.13 -0.13 12 (Engelman and others, 1986) 0.6 1.2 1.9 -0.7 2.6 13 (Parker and others, 1986) 6.5 5.2 -10 -1.9 -3.7 14 (Rao and Argos, 1986) 0.97 1.08 1 0.83 1.37 15 (Cornette and others, 1987) -0.5 -1.9 1 3.2 4.7 16 (Roseman, 1988) -1.24 -1 2.13 1.47 1.3 17 (Cowan and Whittaker, 1990) : pH = 3.4 -0.64 -0.3 1.46 0.51 1.34 18 (Cowan and Whittaker, 1990) : pH = 7.5 -0.63 -0.3 1.35 0.39 1.32 19 (Black and others, 1991) 0.36 0.45 0.88 0.88 0.83 20 (Sereda and others, 1994) -7 13 84 49 79 21 (Monera and others, 1995) -5 13 97 63 76 22 (Wimley and White, 1996) -0.13 -0.1 1.85 0.94 -0.07 23 (Urry, 2004) 0.55 -0.6 -7 -5.9 -2.5 24 (Hessa and others, 2005) 0.84 0.52 0.3 0.68 -0.31

Tabelul 7. Referinţe pentru cele 24 de scale de hidrofobicitate ale amino acizilor standard

Nr Sursă Referinţă

1 (Bull and Breese, 1974)

Bull HB, Breese K, Surface tension of amino acid solutions: A hydrophobicity scale of the amino acid residues, Arch Biochem Biophys, 1974, 161, 665-670.

2 (Manavalan and Ponnuswamy, 1978)

Manavalan P, Ponnuswamy PK. Hydrophobic character of amino acid residues in globular proteins, Nature, 1978, 275, 673-674.

3 (Janin, 1979) Janin J, Surface and inside volumes in globular proteins, Nature, 1979, 277, 491-492.

4 (Hoop and Woods, 1981)

Hoop TP, Woods KR, Prediction of protein antigenic determinants from amino acid sequences, Proc Natl Acad Sci USA, 1981,78, 3824-3828.

5 (Wilson and others, 1981)

Wilson KJ, Honegger A, Stotzel RP, Hughes GJ, The behaviour of peptides on reverse-phase supports during high-pressure liquid chromatography, Biochem J, 1981, 199, 31-41.

6 (Kyte and Doolittle, 1982)

Kyte J, Doolittle RF, A Simple Method for Displaying the Hydropathic Character of a Protein, J Mol Biol 1982, 157, 105-132.

7 (Fauchere and Pliska, 1983)

Fauchere J-L, Pliska VE, Hydrophobic parameters of amino-acid side-chains from the partitioning of N-acetyl-amino-acid amide, Eur J Med Chem, 1983, 18, 369-375.

8 (Sweet and Eisenberg, 1983)

Sweet RM, Eisenberg D, Correlation of sequence hydrophobicities measures similarity in three-dimensional protein structure, J Mol Biol, 1983, 171, 479-488.

9 (Eisenberg and others, 1984)

Eisenberg D, Schwarz E, Komaromy M, Wall R, Analysis of membrane and surface protein sequences with the hydrophobic moment plot, J Mol Biol, 1984, 179, 125-142.

10 (Rose and others, 1985)

Rose GD, Geselowitz AR, Lesser GJ, Lee RH, Zehfus MH, Hydrophobicity of amino acid residues in globular proteins, Science, 1985, 229, 834-838.

11 (Welling and others, 1985)

Welling GW, Weijer WJ, Van der Zee R, Welling-Wester S, Prediction of sequential antigenic regions in proteins, FEBS Lett, 1985, 188, 215-218.

18(112)

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12 (Engelman and others, 1986)

Engelman DM, Steitz TA, Goldman A, Identifying nonpolar transbilayer helices in amino acid sequences of membrane proteins, Annu Rev Biophys Biophys Chem, 1986, 15, 321-353.

13 (Parker and others, 1986)

Parker JMR, Guo D, Hodges RS, New Hydrophilicity Scale Derived from High-Performance Liquid Chromatography Peptide Retention Data: Correlation of Predicted Surface Residues with Antigenicity and X-ray-Derived Accessible Sites?, Biochemistry, 1986, 25, 5425-5431.

14 (Rao and Argos, 1986)

Rao MJK, Argos P, A conformational preference parameter to predict helices in integral membrane proteins, Biochim Biophys Acta, 1986, 869, 197-214.

15 (Cornette and others, 1987)

Cornette JL, Cease KB, Margalit H, Spouge JL, Berzofsky JA, DeLisi C, Hydrophobicity scales and computational techniques for detecting amphipathic structures in proteins, J Mol Biol, 1987, 195, 659-685.

16 (Roseman, 1988)

Roseman MA, Hydrophilicity of polar amino acid side-chains is markedly reduced by flanking peptide bonds, J Mol Biol, 1988, 200, 513-522.

17 şi 18

(Cowan and Whittaker, 1990)

Cowan R, Whittaker RG, Hydrophobicity indices for amino acid residues as determined by HPLC, Peptide Research, 1990, 3, 75-80.

19 (Black and others, 1991)

Black S.D., Mould D.R., Black SD, Mould DR, Development of Hydrophobicity Parameters to Analyze Proteins Which Bear Post- or Cotranslational Modifications, Anal Biochem, 1991, 193, 72-82.

20 (Sereda and others, 1994)

Sereda TJ, Mant CT, Sonnichsen FD, Hodges RS, Reversed-phase chromatography of synthetic amphipathic a-helical peptides as a model for ligand/receptor interactions effect of changing hydrophobic environment on the relative hydrophilicity/hydrophobicity of amino acid side- chains, J Chromatogr A, 1994, 676(1), 139-153.

21 (Monera and others, 1995)

Monera OD, Sereda TJ, Zhou NE, Kay CM, Hodges RS, Relationship of sidechain hydrophobicity and alpha-helical propensity on the stability of the single-stranded amphipathic alpha-helix, J Pept Sci, 1995, 1(5), 319-329.

22 (Wimley and White, 1996)

Wimley WC, White SH, Experimentally determined hydrophobicity scale for proteins at membrane interfaces, Nature Struct Biol, 1996, 3, 842-848.

23 (Urry, 2004) Urry D. W., The change in Gibbs free energy for hydrophobic association - Derivation and evaluation by means of inverse temperature transitions, Chem Phys Lett, 2004, 399(1-3), 177-183.

24 (Hessa and others, 2005)

Hessa T, Kim H, Bihlmaier K, Lundin C, Boekel J, Andersson H, Nilsson I, White SH, von Heijne G, Recognition of transmembrane helices by the endoplasmic reticulum translocon, Nature, 2005, 433, 377-381.

Tabelul 8. Proprietăţi ale amino acizilor standard (P1-P9)

AA \ Pr P1 P2 P3 P4 P5 P6 P7 P8 P9 Ala 0 5.1 4.34 0.83 1.29 0.77 100 11.2 0.9 Arg 52 2 26.66 0.93 0.96 0.88 65 0.5 1.02 Asn 3.38 0.6 13.28 0.89 0.9 1.28 134 2.9 0.62 Asp 49.7 0.7 12 0.54 1.04 1.41 106 2.9 0.47 Cys 1.48 0 35.77 1.19 1.11 0.81 20 4.1 1.24 Gln 3.53 1.4 17.56 1.1 1.27 0.98 93 1.6 1.18 Glu 49.9 1.8 17.26 0.37 1.44 0.99 102 1.8 0.62 Gly 0 4.1 0 0.75 0.56 1.64 49 11.8 0.56 His 51.6 1.6 21.81 0.87 1.22 0.68 66 2 1.12 Ile 0.13 9.3 19.06 1.6 0.97 0.51 96 8.6 1.54 Leu 0.13 10 18.78 1.3 1.3 0.58 40 11.7 1.26

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Lys 49.5 1.3 21.29 0.74 1.23 0.96 56 0.5 0.74 Met 1.43 8.7 21.64 1.05 1.47 0.41 94 1.9 1.09 Phe 0.35 9.6 29.4 1.38 1.07 0.59 41 5.1 1.23 Pro 1.58 4.9 10.93 0.55 0.52 1.91 56 2.7 0.42 Ser 1.67 3.1 6.35 0.75 0.82 1.32 120 8 0.87 Thr 1.66 3.5 11.01 1.19 0.82 1.04 97 4.9 1.3 Trp 2.1 9.2 42.53 1.37 0.99 0.76 18 2.2 1.75 Tyr 1.61 8 31.53 1.47 0.72 1.05 41 2.6 1.68 Val 0.13 8.5 13.92 1.7 0.91 0.47 74 12.9 1.53

Tabelul 9. Proprietăţi ale amino acizilor standard (P10-P19)

AA \ Pr P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 Ala -0.1 0.5 3.9 7.3 0.1 5.33 0.44 1.489 0.788 0.36 Arg -4.5 0.8 3.2 -3.6 1.91 4.18 -2.42 1.224 0.912 0.53 Asn -1.6 0.8 -2.8 -5.7 0.48 3.71 -1.32 0.772 1.572 0.46 Asp -2.8 -8.2 -2.8 -2.9 0.78 3.59 -0.31 0.924 1.197 0.51 Cys -2.2 -6.8 -14.3 -9.2 -1.42 7.93 0.58 0.966 0.965 0.35 Gln -2.5 -4.8 1.8 -0.3 0.95 3.87 -0.71 1.164 0.997 0.49 Glu -7.5 -16.9 -7.5 -7.1 0.83 3.65 -0.34 1.504 1.149 0.5 Gly -0.5 0 -2.3 -1.2 0.33 4.48 0 0.51 1.86 0.54 His 0.8 -3.5 2 -2.1 -0.5 5.1 -0.01 1.003 0.97 0.32 Ile 11.8 13.9 11 6.6 -1.13 8.83 2.46 1.003 0.24 0.46 Leu 10 8.8 15 20 -1.18 8.47 2.46 1.236 0.67 0.37 Lys -3.2 0.1 -2.5 -3.7 1.4 2.95 -2.45 1.172 1.302 0.47 Met 7.1 4.8 4.1 5.6 -1.59 8.95 1.1 1.363 0.436 0.3 Phe 13.9 13.2 14.7 19.2 -2.12 9.03 2.54 1.195 0.624 0.31 Pro 8 6.1 5.6 5.1 0.73 3.87 1.29 0.492 1.415 0.51 Ser -3.7 1.2 -3.5 -4.1 0.52 4.09 -0.84 0.739 1.316 0.51 Thr 1.5 2.7 1.1 0.8 0.07 4.49 -0.41 0.785 0.739 0.44 Trp 18.1 14.9 17.8 16.3 -0.51 7.66 2.56 1.09 0.546 0.31 Tyr 8.2 6.1 3.8 5.9 -0.21 5.89 1.63 0.787 0.795 0.42 Val 3.3 2.7 2.1 3.5 -1.27 7.63 1.73 0.99 0.387 0.39

Tabelul 10. Referinţe pentru cele 19 proprietăţi ale amino acizilor standard

Proprietate Referinţă P1 Zimmerman JM, Eliezer N, Simha R, Polarity, J. Theor. Biol. 1968, 21, 170-201.

P2 Aboderin AA, Mobilities of amino acids on chromatography paper (RF) – AAMC, Int. J. Biochem. 1971, 2, 537-544.

P3 Jones DD, Refractivity, J. Theor. Biol. 1975, 50,167-184.

P4 Chou PY, Fasman GD, Conformational parameter for beta-sheet - CPB (computed from 29 proteins), Adv. Enzym. 1978, 47, 45-148.

P5 şi P6

Levitt M, Conformational preferences of amino acids in globular proteins, Biochemistry 1978, 17, 4277-4285. P5:NFAH (Normalized Frequency for Alpha Helix); P6:NPBT (Normalized Frequency for Beta-Turn)

P7 Dayhoff MO, Schwartz RM, Orcutt BC, Relative mutability AARM of amino acids (Ala=100), Atlas of Protein Sequence and Structure, 1978, 5(3), 89-99.

P8 Janin J, Molar fraction -MR (%) of 2001 buried residues, Nature 1979, 277, 491-492.

P9 Lifson S, Sander C, Conformational preference for antiparallel beta strand - CPAPBS, Nature 1979, 282, 109-111.

P10 Meek JL, Prediction of peptide retention times in high-pressure liquid

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şi P11

chromatography on the basis of amino acid composition, Proc. Natl. Acad. Sci. USA, 1980, 77(3), 1632-1636. P10:pH=2.1; P11:pH=7.4

P12 şi P13

Browne CA, Bennett HPJ, Solomon S, The isolation of peptides by high-performance liquid-chromatography using predicted elution positions, Anal. Biochem., 1982, 124(1), 201-208. P12:RC-HFBA; P13:RC-TFA

P14 Guy HR, Amino acid side-chain partition energies and distribution of residues in soluble proteins, Biophys J, 1985, 47, 61-70.

P15 Miyazawa S, Jernigen RL, Estimation of Effective Interresidue Contact Energies from Protein Crystal Structures: Quasi-Chemical Approximation, Macromolecules, 1985, 18, 534-552.

P16 Abraham DJ, Leo AJ, Extension of the fragment method to calculate amino acid zwitterions and side chain partition coefficients, Proteins, 1987, 2, 130-152.

P17 şi P18

Deleage G, Roux B, An algorithm for protein secondary structure prediction based on class prediction, Protein Engineering, 1987, 1, 289-294. P17:CPAH (Conformational Parameter for Alpha Helix); P18:CPBT (Conformational Parameter for Beta Turn)

P19 Bhaskaran R, Ponnuswamy PK, Positional flexibilities of amino acid residues in globular proteins, Int. J. Pept. Protein. Res., 1988, 32, 242-255.

Colagenul de tip I

Datele cu privire la structura amino acizilor în lanţurile de colagen au fost identificate,

preluate şi stocate de la Protein National Center for Biotechnology Information DataBase:

http://www.ncbi.nlm.nih.gov

Colagenul de tip I al următoarelor specii a fost ales spre analiză: Rattus norvegicus (Orgel

JP, TC Irving, A Miller, TJ Wess, 2006, Microfibrillar structure of type I collagen in situ, Proc Natl

Acad Sci USA, 103(24), 9001-9005), Bos taurus (Fietzek PP, K Kuhn, The covalent structure of

collagen: amino-acid sequence of the cyanogen-bromide peptides alpha1-CB2, alpha1-CB4 and

alpha1-CB5 from calf-skin collagen, Eur J Biochem, 1975, 52 (1), 77-82; Shirai T, S Hattori, M

Sakaguchi, S Inouye, A Kimura, T Ebihara, S Irie, Y Nagai, H Hori, The complete cDNA coding

sequence for the bovine proalpha2(I) chain of type I procollagen, Matrix Biol, 1998, 17 (1), 85-88),

Danio rerio (Dubois GM, Z Haftek, C Crozet, R Garrone, D Le Guellec, Structure and spatio

temporal expression of the full length DNA complementary to RNA coding for alpha2 type I

collagen of zebrafish, Gene, 2002, 294, 55-65; Howden P, Direct Submission. Submitted (05-JUN-

2007) Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.

http://www.sanger.ac.uk/Projects/D_rerio/faqs.shtml#dataeight), Canis lupus (Lowe JK, R Guyon,

ML Cox, DC Mitchell, AL Lonkar, F Lingaas, C André, F Galibert, EA Ostrander, KE Murphy,

Radiation hybrid mapping of the canine type I and type IV collagen gene subfamilies, Funct Integr

Genomics, 2003, 3, 112-116) şi Homo sapiens (Simon MP, F Pedeutour, N Sirvent, J Grosgeorge,

F Minoletti, JM Coindre, MJ Terrier-Lacombe, N Mandahl, RD Craver, N Blin, G Sozzi, C Turc-

Carel, KP O'Brien, D Kedra, I Fransson, C Guilbaud, JP Dumanski, Deregulation of the platelet-

derived growth factor B-chain gene via fusion with collagen gene Col1A1 in dermatofibrosarcoma

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

protuberans and giant-cell fibroblastoma, Nat Genet, 1997, 15, 95-98; Strausberg RL, Elise A

Feingold, Lynette H Grouse, JG Derge, RD Klausner, FS Collins, L Wagner, Carolyn M Shenmen,

GD Schuler, SF Altschul, B Zeeberg, Kenneth H Buetow, CF Schaefer, Narayan K Bhat, RF

Hopkins, Heather Jordan, Troy Moore, SI Max, J Wang, Florence Hsieh, Luda Diatchenko, Kate

Marusina, AA Farmer, GM Rubin, L Hong, M Stapleton, MB Soares, Maria F Bonaldo, TL

Casavant, TE Scheetz, MJ Brownstein, TB Usdin, S Toshiyuki, P Carninci, Christa Prange, SS

Raha, Naomi A Loquellano, GJ Peters, RD Abramson, Sara J Mullahy, Stephanie A Bosak, PJ

McEwan, KJ McKernan, Joel A Malek, Preethi H Gunaratne, S Richards, Kim C Worley, Sarah

Hale, Angela M Garcia, Laura J Gay, SW Hulyk, Debbie K Villalon, Donna M Muzny, Erica J

Sodergren, Xiuhua Lu, RA Gibbs, Jessica Fahey, E Helton, M Ketteman, M Madan, Stephanie

Rodrigues, Amy Sanchez, Michelle Whiting, A Madan, Alice C Young, Y Shevchenko, GG Bouffard,

RW Blakesley, JW Touchman, ED Green, MC Dickson, AC Rodriguez, Jane Grimwood, J Schmutz,

RM Myers, YSN Butterfield, MI Krzywinski, Ursula Skalska, Duane E Smailus, Angelique Schnerch,

Jacqueline E Schein, SJM Jones, MA Marra and Mammalian Gene Collection (MGC) Program

Team, Generation and initial analysis of more than 15,000 full-lengthhuman and mouse cDNA

sequences, Proc Natl Acad Sci USA, 2002, 99(26), 16899-16903).

22(112)

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Obiective şi rezultate Etapa I(2007).

Obiectiv: Documentare şi design metodologic

Design metodologic

Stabilirea etapelor de modelare pentru amino-acizi

Metodologia în integrarea informaţiilor complexe oferite de structura amino acizilor în

modelarea proprietăţii, având la bază Familia Descriptorilor Moleculari (MDF) (Jäntschi, 2005;

Jäntschi şi Bolboacă, 2007) cuprinde următoarele etape:

÷ Etapa I:

• Obţinerea modelului topologic (2D) al fiecărui amino acid propus spre investigare -

HyperChem [HyperChem v.8.0, Molecular Modelling System ©2003, Hypercube, Inc.]

• Obţinerea modelului geometric (3D) al fiecărui amino acid propus spre investigare -

HyperChem [HyperChem v.8.0, Molecular Modelling System ©2003, Hypercube, Inc.]

cuprinde următoarele etape:

÷ Etapa II: Crearea fişierului de proprietate măsurată pentru fiecare scală de hidrofobicitate şi

pentru celelalte proprietăţi de interes ale amino acizilor;

÷ Etapa III: Generarea, calcularea şi filtrarea membrilor familiei de descriptori moleculari

(Jäntschi şi alţii, 2000; Diudea şi alţii, 2001) pentru amino acizii standard. Cei douăzeci de

compuşi sunt folosiţi pentru a genera familia de descriptori moleculari corespunzătoare setului.

Algoritmul de generare a listei descriptorilor se bazează strict pe structura compuşilor.

Generarea descriptorilor a fost urmată de filtrarea acestora şi ştergerea descriptorilor identici. În

generarea listei familiei descriptorilor moleculari s-au luat în considerare următoarele

caracteristici, regăsite în denumirea fiecărui descriptor, în ordine inversă: geometria sau

topologia moleculei (ultima literă în denumirea descriptorului), proprietatea atomică (masa

atomică relativă, sarcina electrică parţială, cardinalitatea, electronegativitatea,

electronegativitatea de grup, numărul de atomi de hidrogen legaţi direct - penultima literă),

descriptorul de interacţiune (a 5-a), modelul de suprapunere a interacţiunii descriptorilor (a 4-a),

metoda de fragmentare moleculară (a 3-a), metoda de cumulare a proprietăţilor de fragmentare

(a doua) şi procedura de linearizare aplicată în generarea descriptorului global molecular (prima

literă).

• Etapa IV: Căutarea şi identificarea celor mai semnificative modele SPR. Analiza modelelor

identificate s-a realizat pe baza valorilor coeficienţilor de corelaţie, a erorii standard şi a

parametrilor statistici asociaţi modelelor.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

• Etapa V: Validarea modelelor găsite s-a realizat prin calcularea coeficientului de validare

încrucişată (r2loo), a semnificaţiei şi a erorii standard asociate analizei de validare încrucişată

[Leave-one-out Analysis. ©2007, Virtual Library of Free Software].

• Etapa VI: Analiza modelelor SAR selectate s-a realizat prin: analiza stabilităţii modelului

(diferenţa dintre coeficientul de determinare al modelului SPR şi coeficientul de determinare

obţinut prin validarea modelului – cu cât diferenţa este mai mică cu atât modelul este mai

stabil), analiza modelului cu cea mai mare valoare a coeficientului de corelaţie în seturi

etalon şi test [Training vs. Test Experiment. ©2007, Virtual Library of Free Software] şi

compararea rezultatelor obţinute de modelele SPR cu rezultatele raportate anterior în

literatura de specialitate, acolo unde este posibil, prin aplicarea analizei de corelare a

coeficienţilor de corelaţie (testul Steiger - [Steiger JH, Tests for comparing elements of a

correlation matrix, Psychol Bull, 1980, 87, 245-51]).

Stabilirea etapelor de analiză statistică pentru colagenul de tip I

Etapele de analiză statistică a colagenului de tip I stabilite a fi aplicare sunt:

o Stabilirea speciilor pentru analiza colagenului de tip I: Rattus norvegicus; ± Bos taurus; Danio

rerio; Canis lupus; şi Homo sapiens

o Analiza multivariată a secvenţelor amino acizilor în lanţurile α1 şi α2;

o Analiza similarităţii secvenţelor de aminoacizi în lanţurile α1 şi α2 ale colagenului de tip I

pentru fiecare specie în parte

o Analiza similarităţii secvenţelor de aminoacizi în lanţurile α1 (respectiv α2) ale colagenului de

tip I prin compararea speciilor investigate

o Identificarea periodicităţii sau a ciclicităţii din structura lanţurilor de amino acizi ale colagenului

de tip I

o Analiza componentelor principale in structura colagenului de tip I

o Integrarea informaţiilor obţinute prin analiza periodicităţii/ciclicităţii cu cele obţinute prin

analiza componentelor principale

Metode propuse spre utilizare în analiza statistică a colagenului de tip I:

o Analiza multivariată

o Analiza componentelor principale

o Serii de timp

o Teste de similaritate în string-urile de amino acizi ale colagenului de tip I (distanţa Levenshtein)

Instrumente propuse spre utilizare în analiza statistică a colagenului de tip I:

o Statistica (www.statsoft.com)

o SPSS (www.spss.com)

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o CLC Workbenc şi CLC Protein Workbench (www.clcbio.com)

o NCSS Statistical Analysis and Graphics (http://www.ncss.com/ncss.html)

o GESS Gene Expression Statistical System for Microarrays (http://www.ncss.com/gess.html)

Elaborarea specificaţiilor pentru tehnologia de calcul; Achiziţie,

instalare, testare şi configurare aparatura suport

Echipamente de achiziţionat: sistem de calcul performant. Problema majoră în situaţia

actuală cu echipamentele existente este insuficienţa memoriei de calcul. Astfel, calculatorul folosit

acum pentru calcule, după ce îşi încarcă serviciile mai posedă foarte puţină memorie de lucru mai

are liber 656 K, ceea ce nu permite realizarea calculelor complexe ale programelor de modelare

moleculară. Caracteristicile principale ale sistemului de calcul achiziţionat sunt: Cach level 2 =

2048 kb; Procesor = Inter Core Duo T5600; Placa video = Intel; Unitate optică = DVD-RW;

Memorie interna = 1 GB DDR2 (max. 2 GB); Reţea = 10/100 Mbps LAN; Wireless = 802.11 b/g;

Porturi: USB2.0. Sistemul achiziţionat a fost instalat, testat şi configurat.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Obiective şi rezultate Etapa I(2007).

Obiectiv: Modelare şi caracterizare relaţii structură-proprietate

Modelare

Generarea familiei de descriptori moleculari si respectiv identificarea de modele s-a realizat

pe două eşantioane: primul eşantion a fost format din 15 amino acizi standard, al doilea eşantion a

fost format din 20 amino acizi standard.

Pe eşantionul de 15 amino acizi standard au fost investigate şase proprietăţi şi cinci

parametrii cuantici, care conferă proprietatea unei proteine ca întreg: momentul dipol (DM);

refracţia molară (MF); susceptibilitatea magnetică molară (CHI); solubilitatea în apă (Slb);

hidrofobicitatea (Hyd – pentru trei scale publicate anterior: Bumble, 1999; Hessa et all., 2005; Kyte

et Doolittle, 1982); coeficientul de activitate (Lac); coeficientul de partiţie octanol – apă (logP);

energia Hückel (EHua); energia de hidratare (HyEa); polarizabilitatea (Pola).

Baza de date în analiza eşantionului de 15 amino acizi conţine un număr de 57 de tabele aşa

cum se vede din Figura 1.

Figura 1. Investigaţii MDF-SPR pe 15 amino acizi standard

Baza de date cu familia de descriptori moleculari şi de modele MDF SPR pentru eşantionul

de 15 amino acizi standard conţine 57 table (câte 4 tabele pentru fiecare proprietate investigată

denumite 15aacidsXX_data – conţine valoarea măsurată a proprietăţii de interes, 15aacidsXX_tmpx

– conţine valorile calculate ale descriptorilor moleculari generaţi, 15aacidsXX_xval – conţine valori

ale descriptorilor selectaţi pentru corelaţii, 15aacidsXX_yval – modele de regresie monovariate,

unde XX este abrevierea proprietăţii de interes), plus un tabel 15aacids_tmpx care conţine toţi

descriptorii moleculari calculaţi pe cei 20 amino acizi (fără a exclude descriptorii identici).

Statistica de umplere a tabelelor este redată în Tabelul 11.

Pe eşantionul de 20 amino acizi standard proprietatea investigată a fost hidrofobicitatea

măsurată prin douăzeci şi patru metode diferite (vezi crearea băncilor de date).

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Baza de date cu familia de descriptori moleculari şi de modele MDF SPR pentru eşantionul

de 20 amino acizi standard conţine 175 table (vezi Figura 2).

Tabelul 11. Statistica de umplere a tabelelor pentru eşantionul de 15 amino acizi standard

Denumire tabel Înregistrări Mărime Denumire Tabel Înregistrări Mărime 15aacidsCHI_data 15 1.1 KB 15aacidsLac_data 15 1.1 KB 15aacidsCHI_tmpx 131,328 17.7 MB 15aacidsLac_tmpx 131,328 17.7 MB15aacidsCHI_xval 101,396 11.8 MB 15aacidsLac_xval 101,431 11.8 MB15aacidsCHI_yval 101,398 4.6 MB 15aacidsLac_yval 101,431 4.6 MB 15aacidsDM_data 15 1.1 KB 15aacidsLogP_data 15 1.1 KB 15aacidsDM_tmpx 131,328 17.7 MB 15aacidsLogP_tmpx 131,328 17.7 MB15aacidsDM_xval 101,428 11.8 MB 15aacidsLogP_xval 101,416 11.8 MB15aacidsDM_yval 101,428 4.6 MB 15aacidsLogP_yval 101,416 4.6 MB 15aacidsEHu_data 15 1.1 KB 15aacidsMR_data 15 1.1 KB 15aacidsEHu_tmpx 131,328 17.7 MB 15aacidsMR_tmpx 131,328 17.7 MB15aacidsEHu_xval 101,450 11.8 MB 15aacidsMR_xval 101,457 11.8 MB15aacidsEHu_yval 101,450 4.6 MB 15aacidsMR_yval 101,464 4.6 MB 15aacidsHTH_data 15 1.1 KB 15aacidsPol_data 15 1.1 KB 15aacidsHTH_tmpx 131,328 17.7 MB 15aacidsPol_tmpx 131,328 17.7 MB15aacidsHTH_xval 101,442 11.8 MB 15aacidsPol_xval 101,452 11.8 MB15aacidsHTH_yval 101,442 4.6 MB 15aacidsPol_yval 101,452 4.6 MB 15aacidsHyE_data 15 1.1 KB 15aacidsRef_data 15 1.1 KB 15aacidsHyE_tmpx 131,328 17.7 MB 15aacidsRef_tmpx 131,328 17.7 MB15aacidsHyE_xval 101,396 11.8 MB 15aacidsRef_xval 101,458 11.8 MB15aacidsHyE_yval 101,396 4.6 MB 15aacidsRef_yval 101,475 4.6 MB 15aacidsHyd_data 15 1.1 KB 15aacidsSlb_data 15 1.1 KB 15aacidsHyd_tmpx 131,328 17.7 MB 15aacidsSlb_tmpx 131,328 17.7 MB15aacidsHyd_xval 101,306 11.8 MB 15aacidsSlb_xval 101,427 11.8 MB15aacidsHyd_yval 101,306 4.6 MB 15aacidsSlb_yval 101,427 4.6 MB 15aacidsKDH_data 15 1.1 KB 15aacidsKDH_tmpx 131,328 17.7 MB 15aacidsKDH_xval 101,417 11.8 MB 15aacidsKDH_yval 101,417 4.6 MB 15aacidsLPH_data 15 1.1 KB 15aacidsLPH_tmpx 131,328 17.7 MB 15aacidsLPH_xval 101,430 11.8 MB 15aacidsLPH_yval 101,430 4.6 MB

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Figura 2. Investigaţii MDF-SPR pe 20 amino acizi standard

Statistica de umplere a tabelelor este redată în Tabelele 12 şi 13.

Tabelul 12. Statistica de umplere a tabelelor pentru eşantionul de 20 amino acizi standard (1) Denumire tabel Înregistrări Mărime Denumire Tabel Înregistrări Mărime 20aa01_data 0 1.0 KB 20aa12_data 99,109 4.5 MB 20aa01_tmpx 20 1.2 KB 20aa12_tmpx 20 1.2 KB 20aa01_xval 131,328 22.7 MB 20aa12_xval 131,328 22.7 MB 20aa01_yval 99,028 15.4 MB 20aa12_yval 99,106 15.4 MB 20aa02_data 99,028 4.5 MB 20aa13_data 99,106 4.5 MB 20aa02_tmpx 20 1.2 KB 20aa13_tmpx 20 1.2 KB 20aa02_xval 131,328 22.7 MB 20aa13_xval 131,328 22.7 MB 20aa02_yval 99,091 15.4 MB 20aa13_yval 99,105 15.4 MB 20aa03_data 99,091 4.5 MB 20aa14_data 99,105 4.5 MB 20aa03_tmpx 20 1.2 KB 20aa14_tmpx 20 1.2 KB 20aa03_xval 131,328 22.7 MB 20aa14_xval 131,328 22.7 MB 20aa03_yval 99,051 15.4 MB 20aa14_yval 99,067 15.4 MB 20aa04_data 99,051 4.5 MB 20aa15_data 99,067 4.5 MB 20aa04_tmpx 20 1.2 KB 20aa15_tmpx 20 1.2 KB 20aa04_xval 131,328 22.7 MB 20aa15_xval 131,328 22.7 MB 20aa04_yval 99,082 15.4 MB 20aa15_yval 98,984 15.4 MB 20aa05_data 99,082 4.5 MB 20aa16_data 98,984 4.5 MB 20aa05_tmpx 20 1.2 KB 20aa16_tmpx 20 1.2 KB 20aa05_xval 131,328 22.7 MB 20aa16_xval 131,328 22.7 MB 20aa05_yval 99,095 15.4 MB 20aa16_yval 99,107 15.4 MB 20aa06_data 99,095 4.5 MB 20aa17_data 99,107 4.5 MB 20aa06_tmpx 20 1.2 KB 20aa17_tmpx 20 1.2 KB 20aa06_xval 131,328 22.7 MB 20aa17_xval 131,328 22.7 MB 20aa06_yval 99,021 15.4 MB 20aa17_yval 99,036 15.4 MB 20aa07_data 99,021 4.5 MB 20aa18_data 99,036 4.5 MB 20aa07_tmpx 20 1.2 KB 20aa18_tmpx 20 1.2 KB 20aa07_xval 131,328 22.7 MB 20aa18_xval 131,328 22.7 MB 20aa07_yval 99,055 15.4 MB 20aa18_yval 99,043 15.4 MB 20aa08_data 99,055 4.5 MB 20aa19_data 99,043 4.5 MB 20aa08_tmpx 20 1.2 KB 20aa19_tmpx 20 1.2 KB 20aa08_xval 131,328 22.7 MB 20aa19_xval 131,328 22.7 MB

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20aa08_yval 99,099 15.4 MB 20aa19_yval 99,079 15.4 MB20aa09_data 99,099 4.5 MB 20aa20_data 99,079 4.5 MB 20aa09_tmpx 20 1.2 KB 20aa20_tmpx 20 1.2 KB 20aa09_xval 131,328 22.7 MB 20aa20_xval 131,328 22.7 MB20aa09_yval 99,002 15.4 MB 20aa20_yval 99,103 15.4 MB20aa10_data 99,002 4.5 MB 20aa21_data 99,103 4.5 MB 20aa10_tmpx 20 1.2 KB 20aa21_tmpx 20 1.2 KB 20aa10_xval 131,328 22.7 MB 20aa21_xval 131,328 22.7 MB20aa10_yval 99,105 15.4 MB 20aa21_yval 99,092 15.4 MB20aa11_data 99,105 4.5 MB 20aa22_data 99,092 4.5 MB 20aa11_tmpx 20 1.2 KB 20aa22_tmpx 20 1.2 KB 20aa11_xval 131,328 22.7 MB 20aa22_xval 131,328 22.7 MB20aa11_yval 99,109 15.4 MB 20aa22_yval 98,981 15.4 MB

Tabelul 13. Statistica de umplere a tabelelor pentru eşantionul de 20 amino acizi standard (2)

Denumire tabel Înregistrări Mărime Denumire Tabel Înregistrări Mărime20aa23_data 98,981 4.5 MB 20aa34_data 99,053 4.5 MB20aa23_tmpx 20 1.2 KB 20aa34_tmpx 20 1.2 KB20aa23_xval 131,328 22.7 MB 20aa34_xval 131,328 22.7 MB20aa23_yval 99,076 15.4 MB 20aa34_yval 99,110 15.4 MB20aa24_data 99,076 4.5 MB 20aa35_data 99,110 4.5 MB20aa24_tmpx 20 1.2 KB 20aa35_tmpx 20 1.2 KB20aa24_xval 131,328 22.7 MB 20aa35_xval 131,328 22.7 MB20aa24_yval 99,039 15.4 MB 20aa35_yval 99,033 15.4 MB20aa25_data 99,039 4.5 MB 20aa36_data 99,033 4.5 MB20aa25_tmpx 20 1.2 KB 20aa36_tmpx 20 1.2 KB20aa25_xval 131,328 22.7 MB 20aa36_xval 131,328 22.7 MB20aa25_yval 99,094 15.4 MB 20aa36_yval 99,102 15.4 MB20aa26_data 99,094 4.5 MB 20aa37_data 99,102 4.5 MB20aa26_tmpx 20 1.2 KB 20aa37_tmpx 20 1.2 KB20aa26_xval 131,328 22.7 MB 20aa37_xval 131,328 22.7 MB20aa26_yval 99,112 15.4 MB 20aa37_yval 99,116 15.4 MB20aa27_data 99,112 4.5 MB 20aa38_data 99,116 4.5 MB20aa27_tmpx 19 1.2 KB 20aa38_tmpx 20 1.2 KB20aa27_xval 131,328 21.7 MB 20aa38_xval 131,328 22.7 MB20aa27_yval 98,752 14.6 MB 20aa38_yval 99,086 15.4 MB20aa28_data 98,752 4.5 MB 20aa39_data 99,086 4.5 MB20aa28_tmpx 20 1.2 KB 20aa39_tmpx 20 1.2 KB20aa28_xval 131,328 22.7 MB 20aa39_xval 131,328 22.7 MB20aa28_yval 99,096 15.4 MB 20aa39_yval 99,103 15.4 MB20aa29_data 99,096 4.5 MB 20aa40_data 99,103 4.5 MB20aa29_tmpx 20 1.2 KB 20aa40_tmpx 20 1.2 KB20aa29_xval 131,328 22.7 MB 20aa40_xval 131,328 22.7 MB20aa29_yval 99,093 15.4 MB 20aa40_yval 99,054 15.4 MB20aa30_data 99,093 4.5 MB 20aa41_data 99,054 4.5 MB20aa30_tmpx 20 1.2 KB 20aa41_tmpx 20 1.2 KB20aa30_xval 131,328 22.7 MB 20aa41_xval 131,328 22.7 MB20aa30_yval 99,117 15.4 MB 20aa41_yval 99,100 15.4 MB20aa31_data 99,117 4.5 MB 20aa42_data 99,100 4.5 MB20aa31_tmpx 20 1.2 KB 20aa42_tmpx 20 1.2 KB

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20aa31_xval 131,328 22.7 MB 20aa42_xval 131,328 22.7 MB20aa31_yval 99,095 15.4 MB 20aa42_yval 99,087 15.4 MB20aa32_data 99,095 4.5 MB 20aa43_data 99,087 4.5 MB20aa32_tmpx 20 1.2 KB 20aa43_tmpx 20 1.2 KB20aa32_xval 131,328 22.7 MB 20aa43_xval 131,328 22.7 MB20aa32_yval 99,106 15.4 MB 20aa43_yval 99,085 15.4 MB20aa33_data 99,106 4.5 MB 20aa33_tmpx 20 1.2 KB 20aa33_xval 131,328 22.7 MB 20aa33_yval 99,053 15.4 MB

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Obiective şi rezultate Etapa I(2007).

Obiectiv: Modelare şi caracterizare relaţii structură-proprietate

Caracterizare relaţii structură-proprietate

Pentru fiecare model obţinut atât în eşantionul de 15 amino acizi cât şi în eşantionul de 20

amino acizi s-a realizat un buletin de caracterizare care conţine modelul obţinut şi descrierea

acestuia şi care este însoţit de principalele caracteristici statistice.

Modelele au fost validate prin calcularea coeficientului de validare încrucişată (r2loo), a

semnificaţiei şi a erorii standard asociate analizei de validare încrucişată. Validarea modelelor s-a

realizat cu Leave-one-out Analyst (http://l.academicdirect.org/Chemistry/SARs/MDF_SARs/loo/) şi

MDF SAR Analyst (http://l.academicdirect.org/Chemistry/SARs/MDF_SARs/sar/).

Modelele obţinute au fost utilizate pentru a prezice proprietăţile de interes a 5 amino acizi

standard (pentru eşantionul de 15 amino acizi) şi respectiv 11 amino acizi non standard (pentru

eşantionul de 20 amino acizi).

Amino acizii standard folosiţi în generarea familiei de descriptori moleculari au fost: Ala,

Asn, Asp, Cys, Gln, Glu, Gly, Ile, Leu, Lys, Met, Phe, Ser, Thr, şi Val. Şase amino acizi au fost

utilizaţi pentru a prezice activitatea de interes pe baza modelului obţinut: Arginine (Arg), Histidine

(His), Hydroxiproline (hyp), Proline (Pro), Tryptophan (Trp), şi Tyrosine (Tyr).

Paisprezece proprietăţi au fost investigate:

Dipole Moment - DM(21); Partition coefficient for n-octanol/water in

logarithmic scale - logP(21); Molar Refraction - MR(21);

Hückel Energy - EHua; Molar Magnetic Susceptibility - CHI(21);

Hydration Energy - HyEa; Solubility in water - Slb(21);

Molar Refractivity Refa; Hydrophobicity - Hyd(21), Hyd(22), Hyd(23);

Polarizability: Pola.Logarithm of the activity coefficient - Lac(21);

Modele MDF SPR obţinute pentru proprietăţile investigate sunt prezentate în Tabelul 14.

Tabelul 14. Modele MDF-SPR 15 amino acizi standard

Amino acid property Hyd(21) DM(21) Slb(21) LogPa MDF SAR Equation Ŷ = -160·X - 0.065 Ŷ = -8.7·X - 0.19 Ŷ = -25·X + 4 Ŷ = -1.4·X - 0.87SAR Determination (%)

65 79 87 90

MDF Descriptor (X) AbmrEQg IiDRLQt IiDRLQt lGDdKQg Dominant Atomic Property

Charge (Q) Charge (Q) Charge (Q) Charge (Q)

Interaction via Space (geometry) Bonds (topology) Bonds (topology) Space (geometry)Interaction Model Q·d2 Q d⋅ Q d⋅ Q2·d Structure on ActivityScale

Proportional Proportional Proportional Logarithmic

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Amino acid property Hyd(22) CHI(21) LogP(21) Lac(21) MDF SAR Equation Ŷ = 8.5·X - 0.58 Ŷ = -93·X + 84 Ŷ = -4.9·X + 6.4 Ŷ = -45·X + 18 SAR Determination (%)

90.5 91 93 93

MDF Descriptor (X) iMDRoQg iHMRqQg lHMrqQg iGMmLQt Dominant Atomic Property

Charge (Q) Charge (Q) Charge (Q) Charge (Q)

Interaction via Space (geometry) Space (geometry) Space (geometry) Bonds (topology)Interaction Model Q-1 1Q− 1Q− Q d⋅ Structure on Activity Scale

Inversed Inversed Logarithmic Inversed

Amino acid property HyEa Hyd(23) Refa Pola MDF SAR Equation Ŷ = 18·X - 19 Ŷ =-21·X +12 Ŷ = 94·X -13 Ŷ = 37·X - 4.8 SAR Determination (%)

93 95 97 98

MDF Descriptor (X) iGPmLQt IGDROQg iIMdWEg iIMdWEg Dominant Atomic Property

Charge (Q)

Charge (Q)

Electronegativity (E)

Electronegativity(E)

Interaction via Bonds (topology) Space (geometry) Space (geometry) Space (geometry)Interaction Model Q d⋅ Q Q2·d-1 Q2·d-1 Structure on Activity Scale

Inversed Proportional Inversed Inversed

Amino acid property MR(21) EHua MDF SAR Equation Ŷ = -0.89·X + 6.7 Ŷ = 87·X - 1400 SAR Determination (%)

98 99.7

MDF Descriptor (X) lFMMwQg lfPdkEg Dominant Atomic Property

Charge (Q) Electronegativity(E)

Interaction via Space (geometry) Space (geometry) Interaction Model Q2·d-1 Q2·d-1 Structure on Activity Scale

Logarithmic Logarithmic

Hydrophobicity: ÷ Hyd(21) - Bumble, 1999; ÷ Hyd(22) - Hessa et al., 2005; ÷ Hyd(23) - Kyte and Doolittle, 1982; Dipole Moment: ÷ DM(21) - Bumble, 1999; Solubility: ÷ Slb(21) - Bumble, 1999; Logarithm of the Partition Coefficient: ÷ logP(21) - Bumble, 1999, logPa -

HyperChem(a); Magnetic Susceptibility: ÷ CHI(21) - Bumble, 1999;

Log Activity Coefficient: ÷ Lac(21) - Bumble, 1999; Hydration Energy: ÷ HyEa - HyperChem(a); Refractivity: ÷ Refa - HyperChem(a); Polarizability: ÷ Pola - HyperChem(a); Molar Refraction: ÷ MR(21) - Bumble, 1999; Hückel Energy: ÷ EHua - HyperChem(a); Ŷ = property estimated by the MDF model

Un model în două variabile a fost obţinut pentru hidrofobicitate. Caracteristicile modelului

sunt redate în Tabelul 15.

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Tabelul 15. Model MDF-SPR în două variabile pentru hidrophobicitate (Hessa et al., 2005)

Amino Acid Property Hidrofobicitate - Hyd(22) - Hessa et al., 2005MDF SAR Equation 0.08·X1+6.03·X 2-1.36 SAR Determination (%) 95.8 MDF Descriptor (Xi) ISPDwQg (i=1), iMDRoQg (i=2) Dominant Atomic Property Charge (Q) Interaction via Space (geometry) F (significance p) 124 (0.002) Standard Error of the Estimate 0.31 Sample Size 15

Reprezentarea tridimensională a modelului descris în Tabelul 15 este redată grafic în Figura

3.

Figura 3. Grafic de suprafaţă: iMDRoQg (axa X) vs. ISPDwQg (axa Y) vs. Hyd (axa Z);

Unde Hyd = hidrofobicitate scala Hessa

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Analiza factorială a fost aplicată pentru identificarea factorilor obţinuţi pe baza a 200 de

descriptori moleculari. Valorile eigenvalues obţinute au fost după cum urmează:

÷ 227 - Factor 1, 91% varianţa totală; ÷ 5.7 - Factor 3, 2.3% varianţa totală;

÷ 6.9 - Factor 2, 2.7% varianţa totală; ÷ 3.5 - Factor 4, 1.4% varianţa totală.

Două modele de regresie lineară semnificative statistic au fost obţinute (unde r2 =

coeficientul de determinare, r2adj = coeficientul de determinare ajustat, s = eroarea standard a

estimatului):

÷ Un model cu o singură variabilă (F = 96, p < 0.001): Factor 1 (r2 = 0.88, r2adj = 0.87, s = 0.49);

÷ Un model cu două variabile (F = 69, p < 0.001): Factor 1 & Factor 4 (r2 = 0.92, r2adj = 0.91, s =

0.42).

Următoarele concluzii se pot desprinde din analiza celor prezentate anterior:

÷ Într-un singur caz din cele paisprezece proprietăţi investigate determinarea MDF-SPR a fost mai

mică de 65%.

÷ În ~ 79% din cazuri, determinarea MDF-SPR a fost mai mare sau egală cu 90%, ceea ce susţine

abilitatea metodologiei în caracterizarea proprietăţilor amino acizilor.

÷ 64% din proprietăţile amino acizilor standard investigate s-au dovedit a fi puternic în legătură cu

geometria compuşilor.

÷ Abordarea regresiei lineare s-a dovedit a fi soluţia optimă în comparaţie cu metoda de analiză

factorială în caracterizarea hydrofobicităţii amino acizilor standard.

Buletinele de caracterizare a modelelor MDF SPR obţinute pentru întreaga serie de 20

amino acizi standard este prezentată în Figurile 4 - 13.

Figura 4. Modele MDF-SPR: Welling et all., 1985 & Wilson et all., 1981

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Figura 5. Modele MDF-SPR: Cornette et all., 1987 & Wimley-White, 1996

Figura 6. Modele MDF-SPR: Hopp-Woods, 1981 & Cowan-Whittaker, 1990

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Figura 6. Modele MDF-SPR: Manavalan-Ponnuswamy, 1978 & Fauchere-Pliska, 1983

Figura 7. Modele MDF-SPR: Rao-Argos, 1986 & Janin, 1979

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Figura 8. Modele MDF-SPR: Roseman, 1988 & Rose et all., 1985

Figura 9. Modele MDF-SPR: Urry, 2004 & Engelman et all., 1986

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Figura 10. Modele MDF-SPR: Eisenberg et all., 1984 & Cowan-Whittaker, 1990

Figura 11. Modele MDF-SPR: Roseman, 1988 & Sereda et all., 1994

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Figura 12. Modele MDF-SPR: Hessa et all., 2005 & Bull-Breese, 1974

Figura 13. Modele MDF-SPR: Parker et all., 1986 & Monera et all., 1995

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Figura 14. Modele MDF-SPR: Black et all., 1991 & Kyte-Doolittle, 1982

Valorile prezise ale pentru eşantionul de amino acizi non standard sunt redate Tabelele 16-

18.

Tabelul 16. Amino acizi non standard: predicţie (1)

Tabelul 17. Amino acizi non standard: predicţie (2)

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Tabelul 18. Amino acizi non standard: predicţie (3)

Corespondenţele dintre abrevierile din Tabelele 16-18 şi scalele de hidrofobicitate utilizate

sunt redate în Tabelul 19.

Tabelul 19. Corespondenţe abrevieri – scale de hidrofobicitate

Statistica detaliată asociată modelelor prezentate în Figurile 4 - 13 este redată în Tabelul 20.

Tabelul 20. Modele de hidrofobicitate MDF-SPR: caracteristici statistice

Model de regresie Leave-one-out Abb. n r F (p) s [95%CI] Intercept (pt-Stat) [95%CI] Slop(pt-Stat) rloo Floo sloo

aa_01 20 0.9376 131* 0.12 [0.77, 0.94]* [-1.14, -0.78]* 0.9263 109* 0.13 aa_02 20 0.9327 120* 1.11 [-9.05, -6.14]* [15.50 -22.84]* 0.9226 103* 1.18 aa_03 20 0.8434 44* 0.48 [-4.42, -2.32]* [5.03, 9.67]* 0.8009 32* 0.54 aa_04 20 0.9238 105* 0.52 [-0.79, -0.02]* [5.70, 8.65]* 0.9018 78* 0.58

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aa_05 20 0.9232 104* 20.73 [66.20, 97.23]* [649.29, 986.61]* 0.9082 85* 22.58aa_06 20 0.8608 52* 1.01 [-2.70, -1.29]* [7.52, 13.75]* 0.8288 39* 1.11 aa_07 20 0.8309 40* 1.70 [-4.30, -1.39]* [-2.30, -1.15]* 0.7936 30* 1.87 aa_08 20 0.9128 90* 0.42 [1.26, 2.10]* [-1.12, -0.72]* 0.8935 70* 0.46 aa_09 20 0.8974 74* 0.05 [0.82, 0.90]* [1.32, 2.17]* 0.8744 58* 0.06 aa_10 20 0.8997 76* 0.32 [0.29, 0.70]* [-172.49, -105.66]* 0.8599 56* 0.36 aa_11 20 0.9116 89* 2.07 [0.64, 3.06]* [-921.24, -584.95]* 0.8731 51* 2.56 aa_12 20 0.8986 75* 0.45 [-4.22, -2.50]* [2.85, 4.67]* 0.8812 62* 0.48 aa_13 20 0.9252 107* 0.36 [1.02, 1.70]* [-0.25, -0.16]* 0.9003 75* 0.42 aa_14 20 0.9208 100* 0.80 [4.07, 6.54] [-4.58, -2.99]* 0.9073 84* 0.86 aa_15 20 0.6649 14* 1.21 [-1.99, -0.48]+ [0.17, 0.61]+ 0.5961 7+ 1.37 aa_16 20 0.9259 108* 2.46 [8.71, 13.39]* [1.48, 2.22]* 0.8935 69* 2.97 aa_17 20 0.9182 97* 0.52 [3.63, 5.65]* [-2.62, -1.70]* 0.8984 75* 0.58 aa_18 20 0.8814 63* 0.76 [13.98, 15.13]* [17.22, 29.65]* 0.8546 49* 0.84 aa_19 20 0.8832 65* 0.50 [-5.65, -3.06]* [4.38, 7.50]* 0.8611 51* 0.54 aa_20 20 0.8901 69* 0.24 [1.25, 1.61]* [-3.42, -2.04]* 0.8545 48* 0.28 aa_21 20 0.8163 36* 2.19 [4.66, 8.44]* [-37.53, -18.06]* 0.7740 27* 2.41 aa_22 20 0.8661 54* 0.66 [0.97, 1.96]* [-8.45, -4.69]* 0.8344 41* 0.73 aa_23 20 0.9046 81* 1.07 [-36.23, -23.23]* [-14.76, -9.17]* 0.8819 63* 1.18 aa_24 19 0.9504 159* 16.49 [73.60, 98.50]* [702.55, 985.21]* 0.9382 125* 18.37Abb. = set name of the investigated hydrophobicity; n = sample size; r = correlation coefficient; F = Fisher parameter and associated type I error values (p); s = standard error of estimated; 95%CI = 95% confidence interval; Intercept = the intercept for the regression model; pt-Stat = the type I error for the intercept and slop on regression model (Student t test); rloo = leave-one-out correlation coefficient; Floo = Fisher parameter in leave one out analysis; sloo = standard error of estimated in leave-one-out analysis. * 0.05 < p < 0.001; + p < 0.05

Sumarizarea apariţiei caracterelor în numele descriptorilor folosiţi în modelele MDF-SPR

este redată în Tabelul 21 (pentru comparaţie vezi Tabelul 22).

Tabelul 21. Frecvenţa de apariţie a caracterelor în denumirea descriptorilor

Litera 1 2 3 4 5 6 7

Cha. fa Cha. fa Cha. fa Cha. fa Cha. fa Cha. fa Cha. fa A 4 A 3 D 7 d 4 F 1 E 1 g 19 i 16 B 5 m 11 m 2 K 3 Q 23 t 5 l 4 f 1 P 6 r 18 L 5 G 1 O 7 H 1 p 5 I 1 W 3 m 7 n 5 Cha. = caracter; fa = frecvenţă absolută

Tabelul 22. Caractere în numele descriptorilor moleculari

Litera Caracterul Prima I-i-A-a-L-l A doua m-M-n-N-S-P-s-A-a-B-b-G-g-F-f-H-h-I-i

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A treia m-M-D-P A patra R-r-M-m-D-d A cincea D-d-O-o-P-p-Q-q-J-j-K-k-L-l-V-E-W-w-F-f-S-s-T-t A şasea C-H-M-E-G-Q A şaptea g-t

Concluzia care se desprinde în urma analizei modelelor MDF SPR obţinute este că,

hidrofobicitatea amino acizilor standard este o proprietate dependentă linear de modelul geometric

şi topologic al acestora, fiind în relaţie puternică cu sarcina atomică prin interacţiunea geometriei.

De notat că toate modelele obţinute sunt semnificative statistic (p < 0.01) iar o parte din

acestea au abilităţi în estimare care depăşesc procentul de 80%.

O serie de întrebări aşteaptă răspunsul: 1. Cât de corecte sunt predicţiile obţinute pentru

amino acizii non standard? şi 2. Se poate obţine o scală de hidrofobicitate universală plecând de la

modelele MDF-SPR obţinute şi prin analiza intervalelor de încredere asociate interceptului şi slop-

ului?

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Obiective şi rezultate Etapa II(2008).

Obiectiv: Analiza şi modelarea colagen tip I

Analiza colagen tip I

Analiza de componente principale

Setul de proprietăţi ale celor 20 de amino acizi standard inclus în studiu cuprinde:

÷ masa moleculară (notată MM);

÷ 24 hidrofobicităţi (notate de la H01 la H24);

÷ 19 proprietăţi (notate de la P01 la P19);

Analiza de componente principale presupune identificarea din cele 44 de variabile incluse în

studiu al unui set redus de variabile (1-5) capabil să explice (prezică) cu o bună acurateţe toate

variabilele (mai exact celelalte variabile).

Matricea de corelaţie efectuată folosind coeficientul de corelaţie Pearson este menită să

ofere indicii asupra variabilelor care vor face parte din setul redus de variabile.

Analiza de componente principale s-a condus pentru următoarele studii de caz:

÷ Studiu 1: folosind toate variabilele (în număr de 44);

÷ Studiu 2: folosind proprietăţile şi hidrofobicităţile (în număr de 43);

÷ Studiu 3: folosind masa moleculară şi hidrofobicităţile (în număr de 25);

÷ Studiu 4: folosind doar hidrofobicităţile (în număr de 24);

÷ Studiu 5: folosind masa moleculară şi proprietăţile (în număr de 20);

÷ Studiu 6: folosind doar proprietăţile (în număr de 19).

Studiu 1: folosind toate variabilele (în număr de 44)

Analiza de corelaţie a produs rezultatele date în Tabelul 23.

Tabelul 23. Matricea de corelaţie (44 variabile)

rP MM H01 H02 H03 H04 H05 H06 H07 H08 H09 H10 MM 1.000 -0.387 0.094 -0.268 -0.159 0.309 -0.271 0.183 0.215 -0.187 0.109H01 -0.387 1.000 -0.749 -0.506 0.722 -0.824 -0.672 -0.832 -0.901 -0.712 -0.687H02 0.094 -0.749 1.000 0.761 -0.718 0.794 0.881 0.842 0.714 0.773 0.901H03 -0.268 -0.506 0.761 1.000 -0.781 0.684 0.866 0.826 0.575 0.901 0.892H04 -0.159 0.722 -0.718 -0.781 1.000 -0.801 -0.697 -0.909 -0.774 -0.846 -0.825H05 0.309 -0.824 0.794 0.684 -0.801 1.000 0.674 0.887 0.792 0.733 0.809H06 -0.271 -0.672 0.881 0.866 -0.697 0.674 1.000 0.811 0.733 0.880 0.841H07 0.183 -0.832 0.842 0.826 -0.909 0.887 0.811 1.000 0.821 0.876 0.904H08 0.215 -0.901 0.714 0.575 -0.774 0.792 0.733 0.821 1.000 0.722 0.712H09 -0.187 -0.712 0.773 0.901 -0.846 0.733 0.880 0.876 0.722 1.000 0.809H10 0.109 -0.687 0.901 0.892 -0.825 0.809 0.841 0.904 0.712 0.809 1.000H11 0.058 0.351 -0.425 -0.494 0.371 -0.410 -0.454 -0.461 -0.392 -0.470 -0.423H12 -0.244 -0.601 0.695 0.890 -0.883 0.651 0.851 0.854 0.729 0.933 0.791

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H13 -0.379 0.911 -0.841 -0.624 0.819 -0.831 -0.729 -0.907 -0.838 -0.744 -0.823H14 -0.230 -0.626 0.799 0.898 -0.802 0.645 0.937 0.826 0.736 0.896 0.869H15 0.148 -0.735 0.904 0.699 -0.677 0.780 0.807 0.760 0.783 0.650 0.885H16 0.040 -0.787 0.768 0.789 -0.942 0.820 0.787 0.932 0.832 0.919 0.806H17 -0.020 -0.805 0.786 0.782 -0.724 0.838 0.845 0.876 0.760 0.868 0.759H18 0.004 -0.805 0.841 0.812 -0.890 0.816 0.874 0.946 0.852 0.890 0.854H19 0.048 -0.860 0.801 0.730 -0.879 0.845 0.836 0.924 0.892 0.887 0.779H20 0.151 -0.822 0.904 0.740 -0.727 0.800 0.862 0.852 0.748 0.806 0.850H21 0.235 -0.873 0.905 0.739 -0.879 0.842 0.839 0.940 0.862 0.827 0.896H22 0.276 -0.731 0.608 0.602 -0.890 0.793 0.586 0.834 0.770 0.686 0.706H23 -0.566 0.787 -0.591 -0.473 0.740 -0.764 -0.409 -0.756 -0.658 -0.606 -0.688H24 0.136 0.678 -0.845 -0.848 0.832 -0.702 -0.924 -0.846 -0.770 -0.863 -0.865P01 0.294 0.443 -0.496 -0.694 0.775 -0.573 -0.669 -0.666 -0.603 -0.742 -0.529P02 0.215 -0.917 0.743 0.570 -0.754 0.735 0.720 0.799 0.852 0.782 0.678P03 0.845 -0.465 0.383 0.064 -0.361 0.567 0.045 0.467 0.367 0.045 0.429P04 0.289 -0.713 0.804 0.535 -0.769 0.708 0.666 0.733 0.715 0.589 0.739P05 0.242 0.025 0.185 -0.034 0.140 -0.103 0.046 -0.025 -0.153 -0.073 0.095P06 -0.373 0.485 -0.729 -0.369 0.414 -0.383 -0.534 -0.487 -0.418 -0.352 -0.642P07 -0.349 0.453 -0.406 -0.234 0.419 -0.626 -0.240 -0.534 -0.413 -0.272 -0.455P08 -0.662 -0.252 0.486 0.628 -0.367 0.288 0.716 0.351 0.310 0.639 0.421P09 0.489 -0.664 0.708 0.432 -0.730 0.649 0.497 0.698 0.629 0.478 0.690P10 0.389 -0.875 0.615 0.538 -0.826 0.757 0.557 0.858 0.781 0.725 0.664P11 0.255 -0.764 0.506 0.392 -0.727 0.570 0.521 0.695 0.768 0.578 0.516P12 0.414 -0.733 0.418 0.269 -0.595 0.493 0.366 0.591 0.589 0.481 0.415P13 0.281 -0.815 0.541 0.453 -0.700 0.652 0.559 0.725 0.704 0.667 0.552P14 -0.053 0.693 -0.838 -0.865 0.802 -0.746 -0.843 -0.863 -0.731 -0.850 -0.929P15 0.207 -0.798 0.929 0.796 -0.780 0.813 0.856 0.905 0.789 0.784 0.950P16 0.140 -0.854 0.774 0.793 -0.839 0.864 0.761 0.926 0.775 0.908 0.815P17 0.324 -0.098 0.257 -0.059 0.111 0.003 0.105 0.022 -0.043 -0.055 0.124P18 -0.403 0.691 -0.756 -0.452 0.554 -0.519 -0.619 -0.664 -0.607 -0.500 -0.689P19 -0.339 0.504 -0.619 -0.576 0.694 -0.545 -0.518 -0.690 -0.500 -0.564 -0.747 rP H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 MM 0.058 -0.244 -0.379 -0.230 0.148 0.040 -0.020 0.004 0.048 0.151 0.235H01 0.351 -0.601 0.911 -0.626 -0.735 -0.787 -0.805 -0.805 -0.860 -0.822 -0.873H02 -0.425 0.695 -0.841 0.799 0.904 0.768 0.786 0.841 0.801 0.904 0.905H03 -0.494 0.890 -0.624 0.898 0.699 0.789 0.782 0.812 0.730 0.740 0.739H04 0.371 -0.883 0.819 -0.802 -0.677 -0.942 -0.724 -0.890 -0.879 -0.727 -0.879H05 -0.410 0.651 -0.831 0.645 0.780 0.820 0.838 0.816 0.845 0.800 0.842H06 -0.454 0.851 -0.729 0.937 0.807 0.787 0.845 0.874 0.836 0.862 0.839H07 -0.461 0.854 -0.907 0.826 0.760 0.932 0.876 0.946 0.924 0.852 0.940H08 -0.392 0.729 -0.838 0.736 0.783 0.832 0.760 0.852 0.892 0.748 0.862H09 -0.470 0.933 -0.744 0.896 0.650 0.919 0.868 0.890 0.887 0.806 0.827H10 -0.423 0.791 -0.823 0.869 0.885 0.806 0.759 0.854 0.779 0.850 0.896H11 1.000 -0.485 0.339 -0.453 -0.377 -0.397 -0.623 -0.461 -0.442 -0.486 -0.396H12 -0.485 1.000 -0.683 0.935 0.623 0.909 0.777 0.896 0.866 0.717 0.802H13 0.339 -0.683 1.000 -0.729 -0.806 -0.856 -0.782 -0.897 -0.871 -0.852 -0.963H14 -0.453 0.935 -0.729 1.000 0.774 0.836 0.780 0.877 0.830 0.833 0.856H15 -0.377 0.623 -0.806 0.774 1.000 0.690 0.688 0.785 0.730 0.819 0.856H16 -0.397 0.909 -0.856 0.836 0.690 1.000 0.824 0.960 0.958 0.757 0.902

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H17 -0.623 0.777 -0.782 0.780 0.688 0.824 1.000 0.872 0.885 0.870 0.824H18 -0.461 0.896 -0.897 0.877 0.785 0.960 0.872 1.000 0.962 0.809 0.935H19 -0.442 0.866 -0.871 0.830 0.730 0.958 0.885 0.962 1.000 0.822 0.920H20 -0.486 0.717 -0.852 0.833 0.819 0.757 0.870 0.809 0.822 1.000 0.920H21 -0.396 0.802 -0.963 0.856 0.856 0.902 0.824 0.935 0.920 0.920 1.000H22 -0.397 0.741 -0.798 0.693 0.616 0.821 0.696 0.807 0.846 0.710 0.830H23 0.055 -0.480 0.801 -0.476 -0.578 -0.713 -0.533 -0.628 -0.663 -0.628 -0.748H24 0.474 -0.910 0.770 -0.971 -0.815 -0.841 -0.786 -0.890 -0.864 -0.871 -0.898P01 0.561 -0.854 0.479 -0.724 -0.440 -0.762 -0.701 -0.750 -0.762 -0.544 -0.607P02 -0.413 0.697 -0.899 0.729 0.704 0.834 0.817 0.845 0.864 0.830 0.884P03 -0.071 0.031 -0.529 0.059 0.403 0.264 0.212 0.269 0.298 0.372 0.459P04 -0.273 0.597 -0.764 0.642 0.751 0.683 0.582 0.726 0.730 0.747 0.825P05 0.113 -0.139 -0.102 0.016 0.112 -0.139 -0.070 -0.112 -0.157 0.218 0.089P06 0.091 -0.316 0.642 -0.516 -0.681 -0.364 -0.323 -0.441 -0.378 -0.690 -0.672P07 -0.053 -0.266 0.534 -0.269 -0.395 -0.481 -0.343 -0.469 -0.499 -0.349 -0.493P08 -0.113 0.593 -0.286 0.672 0.429 0.456 0.490 0.499 0.463 0.481 0.406P09 -0.153 0.500 -0.725 0.538 0.641 0.606 0.459 0.602 0.613 0.705 0.783P10 -0.368 0.663 -0.902 0.597 0.560 0.850 0.750 0.836 0.849 0.684 0.834P11 -0.320 0.603 -0.806 0.567 0.524 0.733 0.596 0.773 0.778 0.562 0.751P12 -0.121 0.408 -0.793 0.412 0.399 0.616 0.524 0.626 0.604 0.535 0.671P13 -0.169 0.589 -0.849 0.602 0.514 0.756 0.706 0.752 0.767 0.698 0.782P14 0.431 -0.820 0.774 -0.866 -0.814 -0.803 -0.745 -0.824 -0.782 -0.812 -0.845P15 -0.503 0.745 -0.902 0.843 0.909 0.795 0.814 0.873 0.820 0.915 0.939P16 -0.408 0.784 -0.852 0.750 0.677 0.907 0.901 0.879 0.880 0.817 0.859P17 0.082 -0.146 -0.221 0.069 0.194 -0.083 0.050 -0.033 -0.058 0.347 0.205P18 0.236 -0.452 0.748 -0.578 -0.658 -0.527 -0.568 -0.602 -0.568 -0.781 -0.777P19 0.071 -0.581 0.692 -0.626 -0.593 -0.629 -0.437 -0.609 -0.568 -0.617 -0.720 rP H22 H23 H24 P01 P02 P03 P04 P05 P06 P07 P08 MM 0.276 -0.566 0.136 0.294 0.215 0.845 0.289 0.242 -0.373 -0.349 -0.662H01 -0.731 0.787 0.678 0.443 -0.917 -0.465 -0.713 0.025 0.485 0.453 -0.252H02 0.608 -0.591 -0.845 -0.496 0.743 0.383 0.804 0.185 -0.729 -0.406 0.486H03 0.602 -0.473 -0.848 -0.694 0.570 0.064 0.535 -0.034 -0.369 -0.234 0.628H04 -0.890 0.740 0.832 0.775 -0.754 -0.361 -0.769 0.140 0.414 0.419 -0.367H05 0.793 -0.764 -0.702 -0.573 0.735 0.567 0.708 -0.103 -0.383 -0.626 0.288H06 0.586 -0.409 -0.924 -0.669 0.720 0.045 0.666 0.046 -0.534 -0.240 0.716H07 0.834 -0.756 -0.846 -0.666 0.799 0.467 0.733 -0.025 -0.487 -0.534 0.351H08 0.770 -0.658 -0.770 -0.603 0.852 0.367 0.715 -0.153 -0.418 -0.413 0.310H09 0.686 -0.606 -0.863 -0.742 0.782 0.045 0.589 -0.073 -0.352 -0.272 0.639H10 0.706 -0.688 -0.865 -0.529 0.678 0.429 0.739 0.095 -0.642 -0.455 0.421H11 -0.397 0.055 0.474 0.561 -0.413 -0.071 -0.273 0.113 0.091 -0.053 -0.113H12 0.741 -0.480 -0.910 -0.854 0.697 0.031 0.597 -0.139 -0.316 -0.266 0.593H13 -0.798 0.801 0.770 0.479 -0.899 -0.529 -0.764 -0.102 0.642 0.534 -0.286H14 0.693 -0.476 -0.971 -0.724 0.729 0.059 0.642 0.016 -0.516 -0.269 0.672H15 0.616 -0.578 -0.815 -0.440 0.704 0.403 0.751 0.112 -0.681 -0.395 0.429H16 0.821 -0.713 -0.841 -0.762 0.834 0.264 0.683 -0.139 -0.364 -0.481 0.456H17 0.696 -0.533 -0.786 -0.701 0.817 0.212 0.582 -0.070 -0.323 -0.343 0.490H18 0.807 -0.628 -0.890 -0.750 0.845 0.269 0.726 -0.112 -0.441 -0.469 0.499H19 0.846 -0.663 -0.864 -0.762 0.864 0.298 0.730 -0.157 -0.378 -0.499 0.463H20 0.710 -0.628 -0.871 -0.544 0.830 0.372 0.747 0.218 -0.690 -0.349 0.481

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H21 0.830 -0.748 -0.898 -0.607 0.884 0.459 0.825 0.089 -0.672 -0.493 0.406H22 1.000 -0.672 -0.764 -0.721 0.737 0.474 0.733 -0.240 -0.314 -0.540 0.268H23 -0.672 1.000 0.495 0.210 -0.675 -0.647 -0.592 -0.037 0.467 0.587 -0.039H24 -0.764 0.495 1.000 0.760 -0.750 -0.165 -0.745 0.011 0.555 0.309 -0.639P01 -0.721 0.210 0.760 1.000 -0.550 0.072 -0.547 0.324 0.056 0.109 -0.527P02 0.737 -0.675 -0.750 -0.550 1.000 0.232 0.674 -0.034 -0.481 -0.337 0.434P03 0.474 -0.647 -0.165 0.072 0.232 1.000 0.459 0.228 -0.475 -0.631 -0.496P04 0.733 -0.592 -0.745 -0.547 0.674 0.459 1.000 -0.069 -0.648 -0.357 0.329P05 -0.240 -0.037 0.011 0.324 -0.034 0.228 -0.069 1.000 -0.653 0.134 -0.191P06 -0.314 0.467 0.555 0.056 -0.481 -0.475 -0.648 -0.653 1.000 0.150 -0.132P07 -0.540 0.587 0.309 0.109 -0.337 -0.631 -0.357 0.134 0.150 1.000 0.014P08 0.268 -0.039 -0.639 -0.527 0.434 -0.496 0.329 -0.191 -0.132 0.014 1.000P09 0.697 -0.675 -0.651 -0.386 0.607 0.621 0.908 0.070 -0.694 -0.410 0.134P10 0.836 -0.805 -0.620 -0.528 0.866 0.450 0.640 -0.149 -0.334 -0.489 0.159P11 0.829 -0.570 -0.624 -0.566 0.804 0.285 0.657 -0.303 -0.277 -0.352 0.248P12 0.638 -0.633 -0.423 -0.313 0.811 0.277 0.509 -0.011 -0.362 -0.307 0.172P13 0.730 -0.689 -0.593 -0.467 0.879 0.267 0.536 0.046 -0.388 -0.418 0.324P14 -0.639 0.669 0.831 0.545 -0.666 -0.334 -0.671 -0.175 0.622 0.332 -0.389P15 0.716 -0.668 -0.855 -0.511 0.778 0.474 0.755 0.216 -0.722 -0.421 0.350P16 0.712 -0.787 -0.729 -0.591 0.845 0.306 0.619 -0.053 -0.373 -0.430 0.413P17 -0.130 -0.102 -0.069 0.293 0.135 0.279 0.032 0.902 -0.701 0.056 -0.113P18 -0.470 0.557 0.614 0.238 -0.678 -0.471 -0.754 -0.372 0.849 0.165 -0.143P19 -0.572 0.696 0.604 0.282 -0.498 -0.535 -0.513 -0.441 0.716 0.389 -0.059 rP H22 H23 H24 P01 P02 P03 P04 P05 P06 P07 P08 MM 0.276 -0.566 0.136 0.294 0.215 0.845 0.289 0.242 -0.373 -0.349 -0.662H01 -0.731 0.787 0.678 0.443 -0.917 -0.465 -0.713 0.025 0.485 0.453 -0.252H02 0.608 -0.591 -0.845 -0.496 0.743 0.383 0.804 0.185 -0.729 -0.406 0.486H03 0.602 -0.473 -0.848 -0.694 0.570 0.064 0.535 -0.034 -0.369 -0.234 0.628H04 -0.890 0.740 0.832 0.775 -0.754 -0.361 -0.769 0.140 0.414 0.419 -0.367H05 0.793 -0.764 -0.702 -0.573 0.735 0.567 0.708 -0.103 -0.383 -0.626 0.288H06 0.586 -0.409 -0.924 -0.669 0.720 0.045 0.666 0.046 -0.534 -0.240 0.716H07 0.834 -0.756 -0.846 -0.666 0.799 0.467 0.733 -0.025 -0.487 -0.534 0.351H08 0.770 -0.658 -0.770 -0.603 0.852 0.367 0.715 -0.153 -0.418 -0.413 0.310H09 0.686 -0.606 -0.863 -0.742 0.782 0.045 0.589 -0.073 -0.352 -0.272 0.639H10 0.706 -0.688 -0.865 -0.529 0.678 0.429 0.739 0.095 -0.642 -0.455 0.421H11 -0.397 0.055 0.474 0.561 -0.413 -0.071 -0.273 0.113 0.091 -0.053 -0.113H12 0.741 -0.480 -0.910 -0.854 0.697 0.031 0.597 -0.139 -0.316 -0.266 0.593H13 -0.798 0.801 0.770 0.479 -0.899 -0.529 -0.764 -0.102 0.642 0.534 -0.286H14 0.693 -0.476 -0.971 -0.724 0.729 0.059 0.642 0.016 -0.516 -0.269 0.672H15 0.616 -0.578 -0.815 -0.440 0.704 0.403 0.751 0.112 -0.681 -0.395 0.429H16 0.821 -0.713 -0.841 -0.762 0.834 0.264 0.683 -0.139 -0.364 -0.481 0.456H17 0.696 -0.533 -0.786 -0.701 0.817 0.212 0.582 -0.070 -0.323 -0.343 0.490H18 0.807 -0.628 -0.890 -0.750 0.845 0.269 0.726 -0.112 -0.441 -0.469 0.499H19 0.846 -0.663 -0.864 -0.762 0.864 0.298 0.730 -0.157 -0.378 -0.499 0.463H20 0.710 -0.628 -0.871 -0.544 0.830 0.372 0.747 0.218 -0.690 -0.349 0.481H21 0.830 -0.748 -0.898 -0.607 0.884 0.459 0.825 0.089 -0.672 -0.493 0.406H22 1.000 -0.672 -0.764 -0.721 0.737 0.474 0.733 -0.240 -0.314 -0.540 0.268H23 -0.672 1.000 0.495 0.210 -0.675 -0.647 -0.592 -0.037 0.467 0.587 -0.039H24 -0.764 0.495 1.000 0.760 -0.750 -0.165 -0.745 0.011 0.555 0.309 -0.639

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P01 -0.721 0.210 0.760 1.000 -0.550 0.072 -0.547 0.324 0.056 0.109 -0.527P02 0.737 -0.675 -0.750 -0.550 1.000 0.232 0.674 -0.034 -0.481 -0.337 0.434P03 0.474 -0.647 -0.165 0.072 0.232 1.000 0.459 0.228 -0.475 -0.631 -0.496P04 0.733 -0.592 -0.745 -0.547 0.674 0.459 1.000 -0.069 -0.648 -0.357 0.329P05 -0.240 -0.037 0.011 0.324 -0.034 0.228 -0.069 1.000 -0.653 0.134 -0.191P06 -0.314 0.467 0.555 0.056 -0.481 -0.475 -0.648 -0.653 1.000 0.150 -0.132P07 -0.540 0.587 0.309 0.109 -0.337 -0.631 -0.357 0.134 0.150 1.000 0.014P08 0.268 -0.039 -0.639 -0.527 0.434 -0.496 0.329 -0.191 -0.132 0.014 1.000P09 0.697 -0.675 -0.651 -0.386 0.607 0.621 0.908 0.070 -0.694 -0.410 0.134P10 0.836 -0.805 -0.620 -0.528 0.866 0.450 0.640 -0.149 -0.334 -0.489 0.159P11 0.829 -0.570 -0.624 -0.566 0.804 0.285 0.657 -0.303 -0.277 -0.352 0.248P12 0.638 -0.633 -0.423 -0.313 0.811 0.277 0.509 -0.011 -0.362 -0.307 0.172P13 0.730 -0.689 -0.593 -0.467 0.879 0.267 0.536 0.046 -0.388 -0.418 0.324P14 -0.639 0.669 0.831 0.545 -0.666 -0.334 -0.671 -0.175 0.622 0.332 -0.389P15 0.716 -0.668 -0.855 -0.511 0.778 0.474 0.755 0.216 -0.722 -0.421 0.350P16 0.712 -0.787 -0.729 -0.591 0.845 0.306 0.619 -0.053 -0.373 -0.430 0.413P17 -0.130 -0.102 -0.069 0.293 0.135 0.279 0.032 0.902 -0.701 0.056 -0.113P18 -0.470 0.557 0.614 0.238 -0.678 -0.471 -0.754 -0.372 0.849 0.165 -0.143P19 -0.572 0.696 0.604 0.282 -0.498 -0.535 -0.513 -0.441 0.716 0.389 -0.059 rP P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 MM 0.489 0.389 0.255 0.414 0.281 -0.053 0.207 0.140 0.324 -0.403 -0.339H01 -0.664 -0.875 -0.764 -0.733 -0.815 0.693 -0.798 -0.854 -0.098 0.691 0.504H02 0.708 0.615 0.506 0.418 0.541 -0.838 0.929 0.774 0.257 -0.756 -0.619H03 0.432 0.538 0.392 0.269 0.453 -0.865 0.796 0.793 -0.059 -0.452 -0.576H04 -0.730 -0.826 -0.727 -0.595 -0.700 0.802 -0.780 -0.839 0.111 0.554 0.694H05 0.649 0.757 0.570 0.493 0.652 -0.746 0.813 0.864 0.003 -0.519 -0.545H06 0.497 0.557 0.521 0.366 0.559 -0.843 0.856 0.761 0.105 -0.619 -0.518H07 0.698 0.858 0.695 0.591 0.725 -0.863 0.905 0.926 0.022 -0.664 -0.690H08 0.629 0.781 0.768 0.589 0.704 -0.731 0.789 0.775 -0.043 -0.607 -0.500H09 0.478 0.725 0.578 0.481 0.667 -0.850 0.784 0.908 -0.055 -0.500 -0.564H10 0.690 0.664 0.516 0.415 0.552 -0.929 0.950 0.815 0.124 -0.689 -0.747H11 -0.153 -0.368 -0.320 -0.121 -0.169 0.431 -0.503 -0.408 0.082 0.236 0.071H12 0.500 0.663 0.603 0.408 0.589 -0.820 0.745 0.784 -0.146 -0.452 -0.581H13 -0.725 -0.902 -0.806 -0.793 -0.849 0.774 -0.902 -0.852 -0.221 0.748 0.692H14 0.538 0.597 0.567 0.412 0.602 -0.866 0.843 0.750 0.069 -0.578 -0.626H15 0.641 0.560 0.524 0.399 0.514 -0.814 0.909 0.677 0.194 -0.658 -0.593H16 0.606 0.850 0.733 0.616 0.756 -0.803 0.795 0.907 -0.083 -0.527 -0.629H17 0.459 0.750 0.596 0.524 0.706 -0.745 0.814 0.901 0.050 -0.568 -0.437H18 0.602 0.836 0.773 0.626 0.752 -0.824 0.873 0.879 -0.033 -0.602 -0.609H19 0.613 0.849 0.778 0.604 0.767 -0.782 0.820 0.880 -0.058 -0.568 -0.568H20 0.705 0.684 0.562 0.535 0.698 -0.812 0.915 0.817 0.347 -0.781 -0.617H21 0.783 0.834 0.751 0.671 0.782 -0.845 0.939 0.859 0.205 -0.777 -0.720H22 0.697 0.836 0.829 0.638 0.730 -0.639 0.716 0.712 -0.130 -0.470 -0.572H23 -0.675 -0.805 -0.570 -0.633 -0.689 0.669 -0.668 -0.787 -0.102 0.557 0.696H24 -0.651 -0.620 -0.624 -0.423 -0.593 0.831 -0.855 -0.729 -0.069 0.614 0.604P01 -0.386 -0.528 -0.566 -0.313 -0.467 0.545 -0.511 -0.591 0.293 0.238 0.282P02 0.607 0.866 0.804 0.811 0.879 -0.666 0.778 0.845 0.135 -0.678 -0.498P03 0.621 0.450 0.285 0.277 0.267 -0.334 0.474 0.306 0.279 -0.471 -0.535P04 0.908 0.640 0.657 0.509 0.536 -0.671 0.755 0.619 0.032 -0.754 -0.513

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P05 0.070 -0.149 -0.303 -0.011 0.046 -0.175 0.216 -0.053 0.902 -0.372 -0.441P06 -0.694 -0.334 -0.277 -0.362 -0.388 0.622 -0.722 -0.373 -0.701 0.849 0.716P07 -0.410 -0.489 -0.352 -0.307 -0.418 0.332 -0.421 -0.430 0.056 0.165 0.389P08 0.134 0.159 0.248 0.172 0.324 -0.389 0.350 0.413 -0.113 -0.143 -0.059P09 1.000 0.599 0.550 0.492 0.490 -0.569 0.679 0.567 0.176 -0.805 -0.576P10 0.599 1.000 0.886 0.857 0.877 -0.648 0.730 0.859 -0.050 -0.578 -0.570P11 0.550 0.886 1.000 0.840 0.794 -0.476 0.606 0.622 -0.154 -0.486 -0.388P12 0.492 0.857 0.840 1.000 0.925 -0.370 0.526 0.643 0.158 -0.553 -0.406P13 0.490 0.877 0.794 0.925 1.000 -0.559 0.654 0.782 0.196 -0.559 -0.542P14 -0.569 -0.648 -0.476 -0.370 -0.559 1.000 -0.922 -0.807 -0.125 0.631 0.791P15 0.679 0.730 0.606 0.526 0.654 -0.922 1.000 0.815 0.262 -0.768 -0.739P16 0.567 0.859 0.622 0.643 0.782 -0.807 0.815 1.000 0.013 -0.605 -0.581P17 0.176 -0.050 -0.154 0.158 0.196 -0.125 0.262 0.013 1.000 -0.498 -0.405P18 -0.805 -0.578 -0.486 -0.553 -0.559 0.631 -0.768 -0.605 -0.498 1.000 0.632P19 -0.576 -0.570 -0.388 -0.406 -0.542 0.791 -0.739 -0.581 -0.405 0.632 1.000

Valorile maxime ale coeficientului de corelaţie ale unei variabile cu celelalte variabile a

constituit subiectul explorării matricii de corelaţie din Tabelul 23. Rezultatul acestei explorări este

redat în tabelul 24.

Tabelul 24. Valori maxime ale determinării în matricea de corelaţie (44 variabile)

Variabilă 1 Variabilă 2 Coeficient de determinare Coeficient de corelaţie H14 H24 0.94 -0.971 H24 H14 0.94 -0.971 H13 H21 0.93 -0.963 H18 H19 0.93 0.962 H19 H18 0.93 0.962 H21 H13 0.93 -0.963 H16 H18 0.92 0.960 H07 H18 0.9 0.946 H10 P15 0.9 0.950 P15 H10 0.9 0.950 H04 H16 0.89 -0.942 H06 H14 0.88 0.937 H09 H12 0.87 0.933 H12 H14 0.87 0.935 H02 P15 0.86 0.929 P12 P13 0.86 0.925 P13 P12 0.86 0.925 P14 H10 0.86 -0.929 P16 H07 0.86 0.926 H20 H21 0.85 0.920 H01 P02 0.84 -0.917 P02 H01 0.84 -0.917 H15 P15 0.83 0.909 P04 P09 0.82 0.908 P09 P04 0.82 0.908 H03 H09 0.81 0.901

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

H08 H01 0.81 -0.901 H17 P16 0.81 0.901 P05 P17 0.81 0.902 P10 H13 0.81 -0.902 P17 P05 0.81 0.902 H05 H07 0.79 0.887 H22 H04 0.79 -0.890 P11 P10 0.78 0.886 P01 H12 0.73 -0.854 P06 P18 0.72 0.849 P18 P06 0.72 0.849 MM P03 0.71 0.845 P03 MM 0.71 0.845 H23 P10 0.65 -0.805 P19 P14 0.63 0.791 P08 H06 0.51 0.716 P07 P03 0.4 -0.631 H11 H17 0.39 -0.623

Evident că datele din Tabelul 24 conţin variabile dublate (atât Variabilă 1 corelează cu

Variabilă 2 cât şi viceversa), însă acest fapt nu afectează rezultatul obţinut. Valorile coeficientului

de determinare variază între 0.94 (obţinut pentru perechea formată de variabilele H14 şi H24) şi

0.39 (obţinut pentru perechea formată de variabilele H11 şi H17).

Clasificarea variabilelor în funcţie de coeficientul de determinare maxim pe care acestea îl

realizează cu celelalte variabile s-a realizat împărţind intervalul coeficientului de determinare în 5

intervale. Tabelul 25 redă grupurile formate de variabile după valoarea maximă a coeficientului de

determinare.

Tabelul 25. Clase ale celor 44 de proprietăţi ale celor 20 de amino acizi standard

Clasa Maxim Minim Volum Membrii clasei Observaţii 1 0.94 0.83 23 H01 H02 H04 H06

H07 H09 H10 H12H13 H14 H15 H16H18 H19 H20 H21H24 P02 P12 P13P14 P15 P16

H01, H04, H07, H09, H12, H13 şi P16 se regăsesc şi în Clasa 2; H06 se regăseşte şi în Clasa 4

2 0.83 0.72 21 H01 H03 H04 H05H07 H08 H09 H12H13 H17 H22 P01P04 P05 P06 P09P10 P11 P16 P17P18

H01, H04, H07, H09, H12, H13 şi P16 se regăsesc şi în Clasa 1; P10 se regăseşte şi în Clasa 3H17 se regăseşte şi în Clasa 5

3 0.72 0.61 6 H23 MM P03 P10P14 P19

P10 se regăseşte şi în Clasa 2P03 se regăseşte şi în Clasa 5

4 0.61 0.50 2 H06 P08 H06 se regăseşte şi în Clasa 15 0.50 0.39 4 H11 H17 P03 P07 H17 se regăseşte şi în Clasa 2

P03 se regăseşte şi în Clasa 3

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După cum se observă în Tabelul 25, unii membrii se regăsesc în mai multe clase. Aplicând

principiul excluziunii acestora odată clasificaţi într-o clasă superioară, rezultatele se prezintă ca în

Tabelul 26.

Tabelul 26. Grupuri distincte ale celor 44 de proprietăţi ale celor 20 de amino acizi standard

Grup Maxim Minim Volum Membrii clasei 1 0.94 0.83 23 H01 H02 H04 H06

H07 H09 H10 H12 H13 H14 H15 H16 H18 H19 H20 H21 H24 P02 P12 P13 P14 P15 P16

2 0.83 0.72 14 H03 H05 H08 H17 H22 P01 P04 P05 P06 P09 P10 P11 P17 P18

3 0.72 0.61 4 H23 MM P03 P19 4 0.61 0.50 1 P08 5 0.50 0.39 2 H11 P07

Din Tabelul 26 rezultă că H11 şi P07 sunt outlieri faţă de celelalte proprietăţi şi o clasificare

corectă a proprietăţilor trebuie să-i includă în expresia ecuaţiei de regresie. În mod similar, P08

trebuie să facă de asemenea parte din ecuaţie de regresie. Cea de-a 4-a (sau ultimele două, a 4-a şi a

5-a variabilă) se pot alege folosind o analiză de corelaţie similară cu cea de mai sus.

În fapt, rezultatul obţinut prin analiza Tabelului 26 oferă o procedură de includere a

componentelor în analiza de regresie. Procedura este:

÷ Se obţine matricea de corelaţie între toate variabilele (în cazul de mai sus nv=44);

÷ Se obţine clasa corelaţiilor maxime;

÷ Se obţine grupul corelaţiilor maxime;

÷ Se extrag variabilele din ultimul grup de corelaţie (în cazul de mai sus ev=2: H11şi P07);

÷ Cu variabilele rămase se repetă:

o Se realizează regresia cu ev+1 variabile de fiecare cu fiecare pentru grupul de nv-ev

variabile;

o Se obţine matricea de corelaţie între toate estimat vs. măsurat;

o Se obţine clasa corelaţiilor maxime;

o Se obţine grupul corelaţiilor maxime;

o Se extrag variabilele din ultimul grup de corelaţie şi se adaugă la grupul anterior (ev);

÷ Până când valoarea minimă a coeficientului de determinare maxim depăşeşte un prag impus.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Studiu 2: folosind proprietăţile şi hidrofobicităţile (în număr de 43)

Analiza de corelaţie a produs rezultatele date în Tabelul 27.

Tabelul 27. Matricea de corelaţie (43 variabile)

rP H01 H02 H03 H04 H05 H06 H07 H08 H09 H10 H01 1.000 -0.749 -0.506 0.722 -0.824 -0.672 -0.832 -0.901 -0.712 -0.687H02 -0.749 1.000 0.761 -0.718 0.794 0.881 0.842 0.714 0.773 0.901H03 -0.506 0.761 1.000 -0.781 0.684 0.866 0.826 0.575 0.901 0.892H04 0.722 -0.718 -0.781 1.000 -0.801 -0.697 -0.909 -0.774 -0.846 -0.825H05 -0.824 0.794 0.684 -0.801 1.000 0.674 0.887 0.792 0.733 0.809H06 -0.672 0.881 0.866 -0.697 0.674 1.000 0.811 0.733 0.880 0.841H07 -0.832 0.842 0.826 -0.909 0.887 0.811 1.000 0.821 0.876 0.904H08 -0.901 0.714 0.575 -0.774 0.792 0.733 0.821 1.000 0.722 0.712H09 -0.712 0.773 0.901 -0.846 0.733 0.880 0.876 0.722 1.000 0.809H10 -0.687 0.901 0.892 -0.825 0.809 0.841 0.904 0.712 0.809 1.000H11 0.351 -0.425 -0.494 0.371 -0.410 -0.454 -0.461 -0.392 -0.470 -0.423H12 -0.601 0.695 0.890 -0.883 0.651 0.851 0.854 0.729 0.933 0.791H13 0.911 -0.841 -0.624 0.819 -0.831 -0.729 -0.907 -0.838 -0.744 -0.823H14 -0.626 0.799 0.898 -0.802 0.645 0.937 0.826 0.736 0.896 0.869H15 -0.735 0.904 0.699 -0.677 0.780 0.807 0.760 0.783 0.650 0.885H16 -0.787 0.768 0.789 -0.942 0.820 0.787 0.932 0.832 0.919 0.806H17 -0.805 0.786 0.782 -0.724 0.838 0.845 0.876 0.760 0.868 0.759H18 -0.805 0.841 0.812 -0.890 0.816 0.874 0.946 0.852 0.890 0.854H19 -0.860 0.801 0.730 -0.879 0.845 0.836 0.924 0.892 0.887 0.779H20 -0.822 0.904 0.740 -0.727 0.800 0.862 0.852 0.748 0.806 0.850H21 -0.873 0.905 0.739 -0.879 0.842 0.839 0.940 0.862 0.827 0.896H22 -0.731 0.608 0.602 -0.890 0.793 0.586 0.834 0.770 0.686 0.706H23 0.787 -0.591 -0.473 0.740 -0.764 -0.409 -0.756 -0.658 -0.606 -0.688H24 0.678 -0.845 -0.848 0.832 -0.702 -0.924 -0.846 -0.770 -0.863 -0.865P01 0.443 -0.496 -0.694 0.775 -0.573 -0.669 -0.666 -0.603 -0.742 -0.529P02 -0.917 0.743 0.570 -0.754 0.735 0.720 0.799 0.852 0.782 0.678P03 -0.465 0.383 0.064 -0.361 0.567 0.045 0.467 0.367 0.045 0.429P04 -0.713 0.804 0.535 -0.769 0.708 0.666 0.733 0.715 0.589 0.739P05 0.025 0.185 -0.034 0.140 -0.103 0.046 -0.025 -0.153 -0.073 0.095P06 0.485 -0.729 -0.369 0.414 -0.383 -0.534 -0.487 -0.418 -0.352 -0.642P07 0.453 -0.406 -0.234 0.419 -0.626 -0.240 -0.534 -0.413 -0.272 -0.455P08 -0.252 0.486 0.628 -0.367 0.288 0.716 0.351 0.310 0.639 0.421P09 -0.664 0.708 0.432 -0.730 0.649 0.497 0.698 0.629 0.478 0.690P10 -0.875 0.615 0.538 -0.826 0.757 0.557 0.858 0.781 0.725 0.664P11 -0.764 0.506 0.392 -0.727 0.570 0.521 0.695 0.768 0.578 0.516P12 -0.733 0.418 0.269 -0.595 0.493 0.366 0.591 0.589 0.481 0.415P13 -0.815 0.541 0.453 -0.700 0.652 0.559 0.725 0.704 0.667 0.552P14 0.693 -0.838 -0.865 0.802 -0.746 -0.843 -0.863 -0.731 -0.850 -0.929P15 -0.798 0.929 0.796 -0.780 0.813 0.856 0.905 0.789 0.784 0.950P16 -0.854 0.774 0.793 -0.839 0.864 0.761 0.926 0.775 0.908 0.815P17 -0.098 0.257 -0.059 0.111 0.003 0.105 0.022 -0.043 -0.055 0.124P18 0.691 -0.756 -0.452 0.554 -0.519 -0.619 -0.664 -0.607 -0.500 -0.689P19 0.504 -0.619 -0.576 0.694 -0.545 -0.518 -0.690 -0.500 -0.564 -0.747 rP H11 H12 H13 H14 H15 H16 H17 H18 H19 H20 H21

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H01 0.351 -0.601 0.911 -0.626 -0.735 -0.787 -0.805 -0.805 -0.860 -0.822 -0.873H02 -0.425 0.695 -0.841 0.799 0.904 0.768 0.786 0.841 0.801 0.904 0.905H03 -0.494 0.890 -0.624 0.898 0.699 0.789 0.782 0.812 0.730 0.740 0.739H04 0.371 -0.883 0.819 -0.802 -0.677 -0.942 -0.724 -0.890 -0.879 -0.727 -0.879H05 -0.410 0.651 -0.831 0.645 0.780 0.820 0.838 0.816 0.845 0.800 0.842H06 -0.454 0.851 -0.729 0.937 0.807 0.787 0.845 0.874 0.836 0.862 0.839H07 -0.461 0.854 -0.907 0.826 0.760 0.932 0.876 0.946 0.924 0.852 0.940H08 -0.392 0.729 -0.838 0.736 0.783 0.832 0.760 0.852 0.892 0.748 0.862H09 -0.470 0.933 -0.744 0.896 0.650 0.919 0.868 0.890 0.887 0.806 0.827H10 -0.423 0.791 -0.823 0.869 0.885 0.806 0.759 0.854 0.779 0.850 0.896H11 1.000 -0.485 0.339 -0.453 -0.377 -0.397 -0.623 -0.461 -0.442 -0.486 -0.396H12 -0.485 1.000 -0.683 0.935 0.623 0.909 0.777 0.896 0.866 0.717 0.802H13 0.339 -0.683 1.000 -0.729 -0.806 -0.856 -0.782 -0.897 -0.871 -0.852 -0.963H14 -0.453 0.935 -0.729 1.000 0.774 0.836 0.780 0.877 0.830 0.833 0.856H15 -0.377 0.623 -0.806 0.774 1.000 0.690 0.688 0.785 0.730 0.819 0.856H16 -0.397 0.909 -0.856 0.836 0.690 1.000 0.824 0.960 0.958 0.757 0.902H17 -0.623 0.777 -0.782 0.780 0.688 0.824 1.000 0.872 0.885 0.870 0.824H18 -0.461 0.896 -0.897 0.877 0.785 0.960 0.872 1.000 0.962 0.809 0.935H19 -0.442 0.866 -0.871 0.830 0.730 0.958 0.885 0.962 1.000 0.822 0.920H20 -0.486 0.717 -0.852 0.833 0.819 0.757 0.870 0.809 0.822 1.000 0.920H21 -0.396 0.802 -0.963 0.856 0.856 0.902 0.824 0.935 0.920 0.920 1.000H22 -0.397 0.741 -0.798 0.693 0.616 0.821 0.696 0.807 0.846 0.710 0.830H23 0.055 -0.480 0.801 -0.476 -0.578 -0.713 -0.533 -0.628 -0.663 -0.628 -0.748H24 0.474 -0.910 0.770 -0.971 -0.815 -0.841 -0.786 -0.890 -0.864 -0.871 -0.898P01 0.561 -0.854 0.479 -0.724 -0.440 -0.762 -0.701 -0.750 -0.762 -0.544 -0.607P02 -0.413 0.697 -0.899 0.729 0.704 0.834 0.817 0.845 0.864 0.830 0.884P03 -0.071 0.031 -0.529 0.059 0.403 0.264 0.212 0.269 0.298 0.372 0.459P04 -0.273 0.597 -0.764 0.642 0.751 0.683 0.582 0.726 0.730 0.747 0.825P05 0.113 -0.139 -0.102 0.016 0.112 -0.139 -0.070 -0.112 -0.157 0.218 0.089P06 0.091 -0.316 0.642 -0.516 -0.681 -0.364 -0.323 -0.441 -0.378 -0.690 -0.672P07 -0.053 -0.266 0.534 -0.269 -0.395 -0.481 -0.343 -0.469 -0.499 -0.349 -0.493P08 -0.113 0.593 -0.286 0.672 0.429 0.456 0.490 0.499 0.463 0.481 0.406P09 -0.153 0.500 -0.725 0.538 0.641 0.606 0.459 0.602 0.613 0.705 0.783P10 -0.368 0.663 -0.902 0.597 0.560 0.850 0.750 0.836 0.849 0.684 0.834P11 -0.320 0.603 -0.806 0.567 0.524 0.733 0.596 0.773 0.778 0.562 0.751P12 -0.121 0.408 -0.793 0.412 0.399 0.616 0.524 0.626 0.604 0.535 0.671P13 -0.169 0.589 -0.849 0.602 0.514 0.756 0.706 0.752 0.767 0.698 0.782P14 0.431 -0.820 0.774 -0.866 -0.814 -0.803 -0.745 -0.824 -0.782 -0.812 -0.845P15 -0.503 0.745 -0.902 0.843 0.909 0.795 0.814 0.873 0.820 0.915 0.939P16 -0.408 0.784 -0.852 0.750 0.677 0.907 0.901 0.879 0.880 0.817 0.859P17 0.082 -0.146 -0.221 0.069 0.194 -0.083 0.050 -0.033 -0.058 0.347 0.205P18 0.236 -0.452 0.748 -0.578 -0.658 -0.527 -0.568 -0.602 -0.568 -0.781 -0.777P19 0.071 -0.581 0.692 -0.626 -0.593 -0.629 -0.437 -0.609 -0.568 -0.617 -0.720 rP H22 H23 H24 P01 P02 P03 P04 P05 P06 P07 P08 H01 -0.731 0.787 0.678 0.443 -0.917 -0.465 -0.713 0.025 0.485 0.453 -0.252H02 0.608 -0.591 -0.845 -0.496 0.743 0.383 0.804 0.185 -0.729 -0.406 0.486H03 0.602 -0.473 -0.848 -0.694 0.570 0.064 0.535 -0.034 -0.369 -0.234 0.628H04 -0.890 0.740 0.832 0.775 -0.754 -0.361 -0.769 0.140 0.414 0.419 -0.367H05 0.793 -0.764 -0.702 -0.573 0.735 0.567 0.708 -0.103 -0.383 -0.626 0.288

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H06 0.586 -0.409 -0.924 -0.669 0.720 0.045 0.666 0.046 -0.534 -0.240 0.716H07 0.834 -0.756 -0.846 -0.666 0.799 0.467 0.733 -0.025 -0.487 -0.534 0.351H08 0.770 -0.658 -0.770 -0.603 0.852 0.367 0.715 -0.153 -0.418 -0.413 0.310H09 0.686 -0.606 -0.863 -0.742 0.782 0.045 0.589 -0.073 -0.352 -0.272 0.639H10 0.706 -0.688 -0.865 -0.529 0.678 0.429 0.739 0.095 -0.642 -0.455 0.421H11 -0.397 0.055 0.474 0.561 -0.413 -0.071 -0.273 0.113 0.091 -0.053 -0.113H12 0.741 -0.480 -0.910 -0.854 0.697 0.031 0.597 -0.139 -0.316 -0.266 0.593H13 -0.798 0.801 0.770 0.479 -0.899 -0.529 -0.764 -0.102 0.642 0.534 -0.286H14 0.693 -0.476 -0.971 -0.724 0.729 0.059 0.642 0.016 -0.516 -0.269 0.672H15 0.616 -0.578 -0.815 -0.440 0.704 0.403 0.751 0.112 -0.681 -0.395 0.429H16 0.821 -0.713 -0.841 -0.762 0.834 0.264 0.683 -0.139 -0.364 -0.481 0.456H17 0.696 -0.533 -0.786 -0.701 0.817 0.212 0.582 -0.070 -0.323 -0.343 0.490H18 0.807 -0.628 -0.890 -0.750 0.845 0.269 0.726 -0.112 -0.441 -0.469 0.499H19 0.846 -0.663 -0.864 -0.762 0.864 0.298 0.730 -0.157 -0.378 -0.499 0.463H20 0.710 -0.628 -0.871 -0.544 0.830 0.372 0.747 0.218 -0.690 -0.349 0.481H21 0.830 -0.748 -0.898 -0.607 0.884 0.459 0.825 0.089 -0.672 -0.493 0.406H22 1.000 -0.672 -0.764 -0.721 0.737 0.474 0.733 -0.240 -0.314 -0.540 0.268H23 -0.672 1.000 0.495 0.210 -0.675 -0.647 -0.592 -0.037 0.467 0.587 -0.039H24 -0.764 0.495 1.000 0.760 -0.750 -0.165 -0.745 0.011 0.555 0.309 -0.639P01 -0.721 0.210 0.760 1.000 -0.550 0.072 -0.547 0.324 0.056 0.109 -0.527P02 0.737 -0.675 -0.750 -0.550 1.000 0.232 0.674 -0.034 -0.481 -0.337 0.434P03 0.474 -0.647 -0.165 0.072 0.232 1.000 0.459 0.228 -0.475 -0.631 -0.496P04 0.733 -0.592 -0.745 -0.547 0.674 0.459 1.000 -0.069 -0.648 -0.357 0.329P05 -0.240 -0.037 0.011 0.324 -0.034 0.228 -0.069 1.000 -0.653 0.134 -0.191P06 -0.314 0.467 0.555 0.056 -0.481 -0.475 -0.648 -0.653 1.000 0.150 -0.132P07 -0.540 0.587 0.309 0.109 -0.337 -0.631 -0.357 0.134 0.150 1.000 0.014P08 0.268 -0.039 -0.639 -0.527 0.434 -0.496 0.329 -0.191 -0.132 0.014 1.000P09 0.697 -0.675 -0.651 -0.386 0.607 0.621 0.908 0.070 -0.694 -0.410 0.134P10 0.836 -0.805 -0.620 -0.528 0.866 0.450 0.640 -0.149 -0.334 -0.489 0.159P11 0.829 -0.570 -0.624 -0.566 0.804 0.285 0.657 -0.303 -0.277 -0.352 0.248P12 0.638 -0.633 -0.423 -0.313 0.811 0.277 0.509 -0.011 -0.362 -0.307 0.172P13 0.730 -0.689 -0.593 -0.467 0.879 0.267 0.536 0.046 -0.388 -0.418 0.324P14 -0.639 0.669 0.831 0.545 -0.666 -0.334 -0.671 -0.175 0.622 0.332 -0.389P15 0.716 -0.668 -0.855 -0.511 0.778 0.474 0.755 0.216 -0.722 -0.421 0.350P16 0.712 -0.787 -0.729 -0.591 0.845 0.306 0.619 -0.053 -0.373 -0.430 0.413P17 -0.130 -0.102 -0.069 0.293 0.135 0.279 0.032 0.902 -0.701 0.056 -0.113P18 -0.470 0.557 0.614 0.238 -0.678 -0.471 -0.754 -0.372 0.849 0.165 -0.143P19 -0.572 0.696 0.604 0.282 -0.498 -0.535 -0.513 -0.441 0.716 0.389 -0.059 rP H22 H23 H24 P01 P02 P03 P04 P05 P06 P07 P08 H01 -0.731 0.787 0.678 0.443 -0.917 -0.465 -0.713 0.025 0.485 0.453 -0.252H02 0.608 -0.591 -0.845 -0.496 0.743 0.383 0.804 0.185 -0.729 -0.406 0.486H03 0.602 -0.473 -0.848 -0.694 0.570 0.064 0.535 -0.034 -0.369 -0.234 0.628H04 -0.890 0.740 0.832 0.775 -0.754 -0.361 -0.769 0.140 0.414 0.419 -0.367H05 0.793 -0.764 -0.702 -0.573 0.735 0.567 0.708 -0.103 -0.383 -0.626 0.288H06 0.586 -0.409 -0.924 -0.669 0.720 0.045 0.666 0.046 -0.534 -0.240 0.716H07 0.834 -0.756 -0.846 -0.666 0.799 0.467 0.733 -0.025 -0.487 -0.534 0.351H08 0.770 -0.658 -0.770 -0.603 0.852 0.367 0.715 -0.153 -0.418 -0.413 0.310H09 0.686 -0.606 -0.863 -0.742 0.782 0.045 0.589 -0.073 -0.352 -0.272 0.639H10 0.706 -0.688 -0.865 -0.529 0.678 0.429 0.739 0.095 -0.642 -0.455 0.421

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H11 -0.397 0.055 0.474 0.561 -0.413 -0.071 -0.273 0.113 0.091 -0.053 -0.113H12 0.741 -0.480 -0.910 -0.854 0.697 0.031 0.597 -0.139 -0.316 -0.266 0.593H13 -0.798 0.801 0.770 0.479 -0.899 -0.529 -0.764 -0.102 0.642 0.534 -0.286H14 0.693 -0.476 -0.971 -0.724 0.729 0.059 0.642 0.016 -0.516 -0.269 0.672H15 0.616 -0.578 -0.815 -0.440 0.704 0.403 0.751 0.112 -0.681 -0.395 0.429H16 0.821 -0.713 -0.841 -0.762 0.834 0.264 0.683 -0.139 -0.364 -0.481 0.456H17 0.696 -0.533 -0.786 -0.701 0.817 0.212 0.582 -0.070 -0.323 -0.343 0.490H18 0.807 -0.628 -0.890 -0.750 0.845 0.269 0.726 -0.112 -0.441 -0.469 0.499H19 0.846 -0.663 -0.864 -0.762 0.864 0.298 0.730 -0.157 -0.378 -0.499 0.463H20 0.710 -0.628 -0.871 -0.544 0.830 0.372 0.747 0.218 -0.690 -0.349 0.481H21 0.830 -0.748 -0.898 -0.607 0.884 0.459 0.825 0.089 -0.672 -0.493 0.406H22 1.000 -0.672 -0.764 -0.721 0.737 0.474 0.733 -0.240 -0.314 -0.540 0.268H23 -0.672 1.000 0.495 0.210 -0.675 -0.647 -0.592 -0.037 0.467 0.587 -0.039H24 -0.764 0.495 1.000 0.760 -0.750 -0.165 -0.745 0.011 0.555 0.309 -0.639P01 -0.721 0.210 0.760 1.000 -0.550 0.072 -0.547 0.324 0.056 0.109 -0.527P02 0.737 -0.675 -0.750 -0.550 1.000 0.232 0.674 -0.034 -0.481 -0.337 0.434P03 0.474 -0.647 -0.165 0.072 0.232 1.000 0.459 0.228 -0.475 -0.631 -0.496P04 0.733 -0.592 -0.745 -0.547 0.674 0.459 1.000 -0.069 -0.648 -0.357 0.329P05 -0.240 -0.037 0.011 0.324 -0.034 0.228 -0.069 1.000 -0.653 0.134 -0.191P06 -0.314 0.467 0.555 0.056 -0.481 -0.475 -0.648 -0.653 1.000 0.150 -0.132P07 -0.540 0.587 0.309 0.109 -0.337 -0.631 -0.357 0.134 0.150 1.000 0.014P08 0.268 -0.039 -0.639 -0.527 0.434 -0.496 0.329 -0.191 -0.132 0.014 1.000P09 0.697 -0.675 -0.651 -0.386 0.607 0.621 0.908 0.070 -0.694 -0.410 0.134P10 0.836 -0.805 -0.620 -0.528 0.866 0.450 0.640 -0.149 -0.334 -0.489 0.159P11 0.829 -0.570 -0.624 -0.566 0.804 0.285 0.657 -0.303 -0.277 -0.352 0.248P12 0.638 -0.633 -0.423 -0.313 0.811 0.277 0.509 -0.011 -0.362 -0.307 0.172P13 0.730 -0.689 -0.593 -0.467 0.879 0.267 0.536 0.046 -0.388 -0.418 0.324P14 -0.639 0.669 0.831 0.545 -0.666 -0.334 -0.671 -0.175 0.622 0.332 -0.389P15 0.716 -0.668 -0.855 -0.511 0.778 0.474 0.755 0.216 -0.722 -0.421 0.350P16 0.712 -0.787 -0.729 -0.591 0.845 0.306 0.619 -0.053 -0.373 -0.430 0.413P17 -0.130 -0.102 -0.069 0.293 0.135 0.279 0.032 0.902 -0.701 0.056 -0.113P18 -0.470 0.557 0.614 0.238 -0.678 -0.471 -0.754 -0.372 0.849 0.165 -0.143P19 -0.572 0.696 0.604 0.282 -0.498 -0.535 -0.513 -0.441 0.716 0.389 -0.059 rP P09 P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 H01 -0.664 -0.875 -0.764 -0.733 -0.815 0.693 -0.798 -0.854 -0.098 0.691 0.504H02 0.708 0.615 0.506 0.418 0.541 -0.838 0.929 0.774 0.257 -0.756 -0.619H03 0.432 0.538 0.392 0.269 0.453 -0.865 0.796 0.793 -0.059 -0.452 -0.576H04 -0.730 -0.826 -0.727 -0.595 -0.700 0.802 -0.780 -0.839 0.111 0.554 0.694H05 0.649 0.757 0.570 0.493 0.652 -0.746 0.813 0.864 0.003 -0.519 -0.545H06 0.497 0.557 0.521 0.366 0.559 -0.843 0.856 0.761 0.105 -0.619 -0.518H07 0.698 0.858 0.695 0.591 0.725 -0.863 0.905 0.926 0.022 -0.664 -0.690H08 0.629 0.781 0.768 0.589 0.704 -0.731 0.789 0.775 -0.043 -0.607 -0.500H09 0.478 0.725 0.578 0.481 0.667 -0.850 0.784 0.908 -0.055 -0.500 -0.564H10 0.690 0.664 0.516 0.415 0.552 -0.929 0.950 0.815 0.124 -0.689 -0.747H11 -0.153 -0.368 -0.320 -0.121 -0.169 0.431 -0.503 -0.408 0.082 0.236 0.071H12 0.500 0.663 0.603 0.408 0.589 -0.820 0.745 0.784 -0.146 -0.452 -0.581H13 -0.725 -0.902 -0.806 -0.793 -0.849 0.774 -0.902 -0.852 -0.221 0.748 0.692H14 0.538 0.597 0.567 0.412 0.602 -0.866 0.843 0.750 0.069 -0.578 -0.626H15 0.641 0.560 0.524 0.399 0.514 -0.814 0.909 0.677 0.194 -0.658 -0.593

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H16 0.606 0.850 0.733 0.616 0.756 -0.803 0.795 0.907 -0.083 -0.527 -0.629H17 0.459 0.750 0.596 0.524 0.706 -0.745 0.814 0.901 0.050 -0.568 -0.437H18 0.602 0.836 0.773 0.626 0.752 -0.824 0.873 0.879 -0.033 -0.602 -0.609H19 0.613 0.849 0.778 0.604 0.767 -0.782 0.820 0.880 -0.058 -0.568 -0.568H20 0.705 0.684 0.562 0.535 0.698 -0.812 0.915 0.817 0.347 -0.781 -0.617H21 0.783 0.834 0.751 0.671 0.782 -0.845 0.939 0.859 0.205 -0.777 -0.720H22 0.697 0.836 0.829 0.638 0.730 -0.639 0.716 0.712 -0.130 -0.470 -0.572H23 -0.675 -0.805 -0.570 -0.633 -0.689 0.669 -0.668 -0.787 -0.102 0.557 0.696H24 -0.651 -0.620 -0.624 -0.423 -0.593 0.831 -0.855 -0.729 -0.069 0.614 0.604P01 -0.386 -0.528 -0.566 -0.313 -0.467 0.545 -0.511 -0.591 0.293 0.238 0.282P02 0.607 0.866 0.804 0.811 0.879 -0.666 0.778 0.845 0.135 -0.678 -0.498P03 0.621 0.450 0.285 0.277 0.267 -0.334 0.474 0.306 0.279 -0.471 -0.535P04 0.908 0.640 0.657 0.509 0.536 -0.671 0.755 0.619 0.032 -0.754 -0.513P05 0.070 -0.149 -0.303 -0.011 0.046 -0.175 0.216 -0.053 0.902 -0.372 -0.441P06 -0.694 -0.334 -0.277 -0.362 -0.388 0.622 -0.722 -0.373 -0.701 0.849 0.716P07 -0.410 -0.489 -0.352 -0.307 -0.418 0.332 -0.421 -0.430 0.056 0.165 0.389P08 0.134 0.159 0.248 0.172 0.324 -0.389 0.350 0.413 -0.113 -0.143 -0.059P09 1.000 0.599 0.550 0.492 0.490 -0.569 0.679 0.567 0.176 -0.805 -0.576P10 0.599 1.000 0.886 0.857 0.877 -0.648 0.730 0.859 -0.050 -0.578 -0.570P11 0.550 0.886 1.000 0.840 0.794 -0.476 0.606 0.622 -0.154 -0.486 -0.388P12 0.492 0.857 0.840 1.000 0.925 -0.370 0.526 0.643 0.158 -0.553 -0.406P13 0.490 0.877 0.794 0.925 1.000 -0.559 0.654 0.782 0.196 -0.559 -0.542P14 -0.569 -0.648 -0.476 -0.370 -0.559 1.000 -0.922 -0.807 -0.125 0.631 0.791P15 0.679 0.730 0.606 0.526 0.654 -0.922 1.000 0.815 0.262 -0.768 -0.739P16 0.567 0.859 0.622 0.643 0.782 -0.807 0.815 1.000 0.013 -0.605 -0.581P17 0.176 -0.050 -0.154 0.158 0.196 -0.125 0.262 0.013 1.000 -0.498 -0.405P18 -0.805 -0.578 -0.486 -0.553 -0.559 0.631 -0.768 -0.605 -0.498 1.000 0.632P19 -0.576 -0.570 -0.388 -0.406 -0.542 0.791 -0.739 -0.581 -0.405 0.632 1.000

Valorile maxime ale coeficientului de corelaţie ale unei variabile cu celelalte variabile a

constituit subiectul explorării matricii de corelaţie din Tabelul 27. Rezultatul acestei explorări este

redat în tabelul 28.

Tabelul 28. Valori maxime ale determinării în matricea de corelaţie (43 variabile)

Variabilă 1 Variabilă 2 Coeficient de determinare Coeficient de corelaţie H14 H24 0.94 -0.971 H24 H14 0.94 -0.971 H13 H21 0.93 -0.963 H18 H19 0.93 0.962 H19 H18 0.93 0.962 H21 H13 0.93 -0.963 H16 H18 0.92 0.960 H07 H18 0.9 0.946 H10 P15 0.9 0.950 P15 H10 0.9 0.950 H04 H16 0.89 -0.942 H06 H14 0.88 0.937 H09 H12 0.87 0.933

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H12 H14 0.87 0.935 H02 P15 0.86 0.929 P12 P13 0.86 0.925 P13 P12 0.86 0.925 P14 H10 0.86 -0.929 P16 H07 0.86 0.926 H20 H21 0.85 0.920 H01 P02 0.84 -0.917 P02 H01 0.84 -0.917 H15 P15 0.83 0.909 P04 P09 0.82 0.908 P09 P04 0.82 0.908 H03 H09 0.81 0.901 H08 H01 0.81 -0.901 H17 P16 0.81 0.901 P05 P17 0.81 0.902 P10 H13 0.81 -0.902 P17 P05 0.81 0.902 H05 H07 0.79 0.887 H22 H04 0.79 -0.890 P11 P10 0.78 0.886 P01 H12 0.73 -0.854 P06 P18 0.72 0.849 P18 P06 0.72 0.849 H23 P10 0.65 -0.805 P19 P14 0.63 0.791 P08 H06 0.51 0.716 P03 H23 0.42 -0.647 P07 P03 0.4 -0.631 H11 H17 0.39 -0.623

Evident că datele din Tabelul 28 conţin variabile dublate (atât Variabilă 1 corelează cu

Variabilă 2 cât şi viceversa), însă acest fapt nu afectează rezultatul obţinut. Valorile coeficientului

de determinare variază între 0.94 (obţinut pentru perechea formată de variabilele H14 şi H24) şi

0.39 (obţinut pentru perechea formată de variabilele H11 şi H17).

Clasificarea variabilelor în funcţie de coeficientul de determinare maxim pe care acestea îl

realizează cu celelalte variabile s-a realizat împărţind intervalul coeficientului de determinare în 5

intervale. Tabelul 29 redă grupurile formate de variabile după valoarea maximă a coeficientului de

determinare.

Tabelul 29. Clase ale celor 43 de proprietăţi ale celor 20 de amino acizi standard

Clasa Maxim Minim Volum Membrii clasei 1 0.94 0.83 23 H01 H02 H04 H06 H07 H09 H10 H12

H13 H14 H15 H16 H18 H19 H20 H21H24 P02 P12 P13 P14 P15 P16

2 0.83 0.72 21 H01 H03 H04 H05 H07 H08 H09 H12H13 H17 H22 P01 P04 P05 P06 P09

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P10 P11 P16 P17 P18 3 0.72 0.61 4 H23 P10 P14 P19 4 0.61 0.50 2 H06 P08 5 0.50 0.39 5 H11 H17 H23 P03 P07

După cum se observă în Tabelul 29, unii membrii se regăsesc în mai multe clase. Aplicând

principiul excluziunii acestora odată clasificaţi într-o clasă superioară, rezultatele se prezintă ca în

Tabelul 30.

Tabelul 30. Grupuri distincte ale celor 43 de proprietăţi ale celor 20 de amino acizi standard

Grup Maxim Minim Volum Membrii clasei 1 0.94 0.83 23 H01 H02 H04 H06 H07 H09 H10 H12

H13 H14 H15 H16 H18 H19 H20 H21 H24 P02 P12 P13 P14 P15 P16

2 0.83 0.72 14 H03 H05 H08 H17 H22 P01 P04 P05 P06 P09 P10 P11 P17 P18

3 0.72 0.61 4 H23 P19 4 0.61 0.50 1 P08 5 0.50 0.39 3 H11 P03 P07

Din Tabelul 31 rezultă că H11, P03 şi P07 sunt outlieri faţă de celelalte proprietăţi şi o

clasificare corectă a proprietăţilor trebuie să-i includă în expresia ecuaţiei de regresie.

Studiu 3: folosind masa moleculară şi hidrofobicităţile (în număr de 25)

Analiza de corelaţie a produs rezultatele date în Tabelul 32.

Tabelul 32. Matricea de corelaţie (25 variabile)

rP MM H01 H02 H03 H04 H05 H06 H07 H08 H09 H10 H11 H12 MM 1.00 -0.39 0.09 -0.27 -0.16 0.31 -0.27 0.18 0.22 -0.19 0.11 0.06 -0.24H01 -0.39 1.00 -0.75 -0.51 0.72 -0.82 -0.67 -0.83 -0.90 -0.71 -0.69 0.35 -0.60H02 0.09 -0.75 1.00 0.76 -0.72 0.79 0.88 0.84 0.71 0.77 0.90 -0.43 0.70H03 -0.27 -0.51 0.76 1.00 -0.78 0.68 0.87 0.83 0.58 0.90 0.89 -0.49 0.89H04 -0.16 0.72 -0.72 -0.78 1.00 -0.80 -0.70 -0.91 -0.77 -0.85 -0.83 0.37 -0.88H05 0.31 -0.82 0.79 0.68 -0.80 1.00 0.67 0.89 0.79 0.73 0.81 -0.41 0.65H06 -0.27 -0.67 0.88 0.87 -0.70 0.67 1.00 0.81 0.73 0.88 0.84 -0.45 0.85H07 0.18 -0.83 0.84 0.83 -0.91 0.89 0.81 1.00 0.82 0.88 0.90 -0.46 0.85H08 0.22 -0.90 0.71 0.58 -0.77 0.79 0.73 0.82 1.00 0.72 0.71 -0.39 0.73H09 -0.19 -0.71 0.77 0.90 -0.85 0.73 0.88 0.88 0.72 1.00 0.81 -0.47 0.93H10 0.11 -0.69 0.90 0.89 -0.83 0.81 0.84 0.90 0.71 0.81 1.00 -0.42 0.79H11 0.06 0.35 -0.43 -0.49 0.37 -0.41 -0.45 -0.46 -0.39 -0.47 -0.42 1.00 -0.48H12 -0.24 -0.60 0.70 0.89 -0.88 0.65 0.85 0.85 0.73 0.93 0.79 -0.48 1.00H13 -0.38 0.91 -0.84 -0.62 0.82 -0.83 -0.73 -0.91 -0.84 -0.74 -0.82 0.34 -0.68H14 -0.23 -0.63 0.80 0.90 -0.80 0.64 0.94 0.83 0.74 0.90 0.87 -0.45 0.93H15 0.15 -0.74 0.90 0.70 -0.68 0.78 0.81 0.76 0.78 0.65 0.88 -0.38 0.62H16 0.04 -0.79 0.77 0.79 -0.94 0.82 0.79 0.93 0.83 0.92 0.81 -0.40 0.91H17 -0.02 -0.80 0.79 0.78 -0.72 0.84 0.85 0.88 0.76 0.87 0.76 -0.62 0.78H18 0.00 -0.80 0.84 0.81 -0.89 0.82 0.87 0.95 0.85 0.89 0.85 -0.46 0.90H19 0.05 -0.86 0.80 0.73 -0.88 0.84 0.84 0.92 0.89 0.89 0.78 -0.44 0.87

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H20 0.15 -0.82 0.90 0.74 -0.73 0.80 0.86 0.85 0.75 0.81 0.85 -0.49 0.72H21 0.24 -0.87 0.91 0.74 -0.88 0.84 0.84 0.94 0.86 0.83 0.90 -0.40 0.80H22 0.28 -0.73 0.61 0.60 -0.89 0.79 0.59 0.83 0.77 0.69 0.71 -0.40 0.74H23 -0.57 0.79 -0.59 -0.47 0.74 -0.76 -0.41 -0.76 -0.66 -0.61 -0.69 0.06 -0.48H24 0.14 0.68 -0.85 -0.85 0.83 -0.70 -0.92 -0.85 -0.77 -0.86 -0.87 0.47 -0.91 rP H12 H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 MM -0.24 -0.38 -0.23 0.15 0.04 -0.02 0.00 0.05 0.15 0.24 0.28 -0.57 0.14H01 -0.60 0.91 -0.63 -0.74 -0.79 -0.80 -0.80 -0.86 -0.82 -0.87 -0.73 0.79 0.68H02 0.70 -0.84 0.80 0.90 0.77 0.79 0.84 0.80 0.90 0.91 0.61 -0.59 -0.85H03 0.89 -0.62 0.90 0.70 0.79 0.78 0.81 0.73 0.74 0.74 0.60 -0.47 -0.85H04 -0.88 0.82 -0.80 -0.68 -0.94 -0.72 -0.89 -0.88 -0.73 -0.88 -0.89 0.74 0.83H05 0.65 -0.83 0.64 0.78 0.82 0.84 0.82 0.84 0.80 0.84 0.79 -0.76 -0.70H06 0.85 -0.73 0.94 0.81 0.79 0.85 0.87 0.84 0.86 0.84 0.59 -0.41 -0.92H07 0.85 -0.91 0.83 0.76 0.93 0.88 0.95 0.92 0.85 0.94 0.83 -0.76 -0.85H08 0.73 -0.84 0.74 0.78 0.83 0.76 0.85 0.89 0.75 0.86 0.77 -0.66 -0.77H09 0.93 -0.74 0.90 0.65 0.92 0.87 0.89 0.89 0.81 0.83 0.69 -0.61 -0.86H10 0.79 -0.82 0.87 0.88 0.81 0.76 0.85 0.78 0.85 0.90 0.71 -0.69 -0.87H11 -0.48 0.34 -0.45 -0.38 -0.40 -0.62 -0.46 -0.44 -0.49 -0.40 -0.40 0.06 0.47H12 1.00 -0.68 0.93 0.62 0.91 0.78 0.90 0.87 0.72 0.80 0.74 -0.48 -0.91H13 -0.68 1.00 -0.73 -0.81 -0.86 -0.78 -0.90 -0.87 -0.85 -0.96 -0.80 0.80 0.77H14 0.93 -0.73 1.00 0.77 0.84 0.78 0.88 0.83 0.83 0.86 0.69 -0.48 -0.97H15 0.62 -0.81 0.77 1.00 0.69 0.69 0.78 0.73 0.82 0.86 0.62 -0.58 -0.81H16 0.91 -0.86 0.84 0.69 1.00 0.82 0.96 0.96 0.76 0.90 0.82 -0.71 -0.84H17 0.78 -0.78 0.78 0.69 0.82 1.00 0.87 0.89 0.87 0.82 0.70 -0.53 -0.79H18 0.90 -0.90 0.88 0.78 0.96 0.87 1.00 0.96 0.81 0.94 0.81 -0.63 -0.89H19 0.87 -0.87 0.83 0.73 0.96 0.89 0.96 1.00 0.82 0.92 0.85 -0.66 -0.86H20 0.72 -0.85 0.83 0.82 0.76 0.87 0.81 0.82 1.00 0.92 0.71 -0.63 -0.87H21 0.80 -0.96 0.86 0.86 0.90 0.82 0.94 0.92 0.92 1.00 0.83 -0.75 -0.90H22 0.74 -0.80 0.69 0.62 0.82 0.70 0.81 0.85 0.71 0.83 1.00 -0.67 -0.76H23 -0.48 0.80 -0.48 -0.58 -0.71 -0.53 -0.63 -0.66 -0.63 -0.75 -0.67 1.00 0.50H24 -0.91 0.77 -0.97 -0.81 -0.84 -0.79 -0.89 -0.86 -0.87 -0.90 -0.76 0.50 1.00

Valorile maxime ale coeficientului de corelaţie ale unei variabile cu celelalte variabile a

constituit subiectul explorării matricii de corelaţie din Tabelul 32. Rezultatul acestei explorări este

redat în tabelul 33.

Tabelul 33. Valori maxime ale determinării în matricea de corelaţie (25 variabile)

Variabilă 1 Variabilă 2 Coeficient de determinare Coeficient de corelaţie H14 H24 0.94 -0.971 H24 H14 0.94 -0.971 H13 H21 0.93 -0.963 H18 H19 0.93 0.962 H19 H18 0.93 0.962 H21 H13 0.93 -0.963 H16 H18 0.92 0.960 H07 H18 0.9 0.946 H04 H16 0.89 -0.942 H06 H14 0.88 0.937

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H09 H12 0.87 0.933 H12 H14 0.87 0.935 H20 H21 0.85 0.920 H01 H13 0.83 0.911 H02 H21 0.82 0.905 H10 H07 0.82 0.904 H15 H02 0.82 0.904 H03 H09 0.81 0.901 H08 H01 0.81 -0.901 H05 H07 0.79 0.887 H22 H04 0.79 -0.890 H17 H19 0.78 0.885 H23 H13 0.64 0.801 H11 H17 0.39 -0.623 MM H23 0.32 -0.566

Evident că datele din Tabelul 33 conţin variabile dublate (atât Variabilă 1 corelează cu

Variabilă 2 cât şi viceversa), însă acest fapt nu afectează rezultatul obţinut. Valorile coeficientului

de determinare variază între 0.94 (obţinut pentru perechea formată de variabilele H14 şi H24) şi

0.32 (obţinut pentru perechea formată de variabilele MM şi H23).

Clasificarea variabilelor în funcţie de coeficientul de determinare maxim pe care acestea îl

realizează cu celelalte variabile s-a realizat împărţind intervalul coeficientului de determinare în 5

intervale. Tabelul 34 redă grupurile formate de variabile după valoarea maximă a coeficientului de

determinare.

Tabelul 34. Clase ale celor 25 de proprietăţi ale celor 20 de amino acizi standard

Clasa Maxim Minim Volum Membrii clasei 1 0.94 0.816 17 H01 H02 H04 H06 H07 H09 H10 H12

H13 H14 H15 H16 H18 H19 H20 H21 H24

2 0.816 0.692 10 H01 H03 H04 H05 H07 H08 H09 H17 H19 H22

3 0.692 0.568 2 H13 H23 4 0.568 0.444 0 5 0.444 0.32 4 H11 H17 H23 MM

După cum se observă în Tabelul 34, unii membrii se regăsesc în mai multe clase. Aplicând

principiul excluziunii acestora odată clasificaţi într-o clasă superioară, rezultatele se prezintă ca în

Tabelul 35.

Tabelul 35. Grupuri distincte ale celor 25 de proprietăţi ale celor 20 de amino acizi standard

Grup Maxim Minim Volum Membrii clasei 1 0.94 0.816 17 H01 H02 H04 H06 H07 H09 H10 H12

H13 H14 H15 H16 H18 H19 H20 H21 H24

2 0.816 0.692 5 H03 H05 H08 H17 H22

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3 0.692 0.568 1 H23 4 0.568 0.444 0 5 0.444 0.32 2 H11 MM

Din Tabelul 35 rezultă că H11 şi MM sunt outlieri faţă de celelalte proprietăţi şi o clasificare

corectă a proprietăţilor trebuie să-i includă în expresia ecuaţiei de regresie.

O concluzie foarte importantă este că masa moleculară (MM) reprezintă un outlier faţă de

toate hidrofobicităţile, astfel nu ar trebui utilizată niciodată în predicţia hidrofobicităţii.

De asemenea H11 şi H23 sunt hidrofobicităţi semnificativ distincte de celelalte 22, şi

acestora ar trebui să li se acorde o atenţie deosebită.

Studiu 4: folosind masa moleculară şi hidrofobicităţile (în număr de 24)

Analiza de corelaţie a produs rezultatele date în Tabelul 36.

Tabelul 36. Matricea de corelaţie (24 variabile)

rP H01 H02 H03 H04 H05 H06 H07 H08 H09 H10 H11 H12 H01 1.00 -0.75 -0.51 0.72 -0.82 -0.67 -0.83 -0.90 -0.71 -0.69 0.35 -0.60H02 -0.75 1.00 0.76 -0.72 0.79 0.88 0.84 0.71 0.77 0.90 -0.43 0.70H03 -0.51 0.76 1.00 -0.78 0.68 0.87 0.83 0.58 0.90 0.89 -0.49 0.89H04 0.72 -0.72 -0.78 1.00 -0.80 -0.70 -0.91 -0.77 -0.85 -0.83 0.37 -0.88H05 -0.82 0.79 0.68 -0.80 1.00 0.67 0.89 0.79 0.73 0.81 -0.41 0.65H06 -0.67 0.88 0.87 -0.70 0.67 1.00 0.81 0.73 0.88 0.84 -0.45 0.85H07 -0.83 0.84 0.83 -0.91 0.89 0.81 1.00 0.82 0.88 0.90 -0.46 0.85H08 -0.90 0.71 0.58 -0.77 0.79 0.73 0.82 1.00 0.72 0.71 -0.39 0.73H09 -0.71 0.77 0.90 -0.85 0.73 0.88 0.88 0.72 1.00 0.81 -0.47 0.93H10 -0.69 0.90 0.89 -0.83 0.81 0.84 0.90 0.71 0.81 1.00 -0.42 0.79H11 0.35 -0.43 -0.49 0.37 -0.41 -0.45 -0.46 -0.39 -0.47 -0.42 1.00 -0.48H12 -0.60 0.70 0.89 -0.88 0.65 0.85 0.85 0.73 0.93 0.79 -0.48 1.00H13 0.91 -0.84 -0.62 0.82 -0.83 -0.73 -0.91 -0.84 -0.74 -0.82 0.34 -0.68H14 -0.63 0.80 0.90 -0.80 0.64 0.94 0.83 0.74 0.90 0.87 -0.45 0.93H15 -0.74 0.90 0.70 -0.68 0.78 0.81 0.76 0.78 0.65 0.88 -0.38 0.62H16 -0.79 0.77 0.79 -0.94 0.82 0.79 0.93 0.83 0.92 0.81 -0.40 0.91H17 -0.80 0.79 0.78 -0.72 0.84 0.85 0.88 0.76 0.87 0.76 -0.62 0.78H18 -0.80 0.84 0.81 -0.89 0.82 0.87 0.95 0.85 0.89 0.85 -0.46 0.90H19 -0.86 0.80 0.73 -0.88 0.84 0.84 0.92 0.89 0.89 0.78 -0.44 0.87H20 -0.82 0.90 0.74 -0.73 0.80 0.86 0.85 0.75 0.81 0.85 -0.49 0.72H21 -0.87 0.91 0.74 -0.88 0.84 0.84 0.94 0.86 0.83 0.90 -0.40 0.80H22 -0.73 0.61 0.60 -0.89 0.79 0.59 0.83 0.77 0.69 0.71 -0.40 0.74H23 0.79 -0.59 -0.47 0.74 -0.76 -0.41 -0.76 -0.66 -0.61 -0.69 0.06 -0.48H24 0.68 -0.85 -0.85 0.83 -0.70 -0.92 -0.85 -0.77 -0.86 -0.87 0.47 -0.91 rP H13 H14 H15 H16 H17 H18 H19 H20 H21 H22 H23 H24 H01 0.91 -0.63 -0.74 -0.79 -0.80 -0.80 -0.86 -0.82 -0.87 -0.73 0.79 0.68H02 -0.84 0.80 0.90 0.77 0.79 0.84 0.80 0.90 0.91 0.61 -0.59 -0.85H03 -0.62 0.90 0.70 0.79 0.78 0.81 0.73 0.74 0.74 0.60 -0.47 -0.85H04 0.82 -0.80 -0.68 -0.94 -0.72 -0.89 -0.88 -0.73 -0.88 -0.89 0.74 0.83

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H05 -0.83 0.64 0.78 0.82 0.84 0.82 0.84 0.80 0.84 0.79 -0.76 -0.70 H06 -0.73 0.94 0.81 0.79 0.85 0.87 0.84 0.86 0.84 0.59 -0.41 -0.92 H07 -0.91 0.83 0.76 0.93 0.88 0.95 0.92 0.85 0.94 0.83 -0.76 -0.85 H08 -0.84 0.74 0.78 0.83 0.76 0.85 0.89 0.75 0.86 0.77 -0.66 -0.77 H09 -0.74 0.90 0.65 0.92 0.87 0.89 0.89 0.81 0.83 0.69 -0.61 -0.86 H10 -0.82 0.87 0.88 0.81 0.76 0.85 0.78 0.85 0.90 0.71 -0.69 -0.87 H11 0.34 -0.45 -0.38 -0.40 -0.62 -0.46 -0.44 -0.49 -0.40 -0.40 0.06 0.47 H12 -0.68 0.93 0.62 0.91 0.78 0.90 0.87 0.72 0.80 0.74 -0.48 -0.91 H13 1.00 -0.73 -0.81 -0.86 -0.78 -0.90 -0.87 -0.85 -0.96 -0.80 0.80 0.77 H14 -0.73 1.00 0.77 0.84 0.78 0.88 0.83 0.83 0.86 0.69 -0.48 -0.97 H15 -0.81 0.77 1.00 0.69 0.69 0.78 0.73 0.82 0.86 0.62 -0.58 -0.81 H16 -0.86 0.84 0.69 1.00 0.82 0.96 0.96 0.76 0.90 0.82 -0.71 -0.84 H17 -0.78 0.78 0.69 0.82 1.00 0.87 0.89 0.87 0.82 0.70 -0.53 -0.79 H18 -0.90 0.88 0.78 0.96 0.87 1.00 0.96 0.81 0.94 0.81 -0.63 -0.89 H19 -0.87 0.83 0.73 0.96 0.89 0.96 1.00 0.82 0.92 0.85 -0.66 -0.86 H20 -0.85 0.83 0.82 0.76 0.87 0.81 0.82 1.00 0.92 0.71 -0.63 -0.87 H21 -0.96 0.86 0.86 0.90 0.82 0.94 0.92 0.92 1.00 0.83 -0.75 -0.90 H22 -0.80 0.69 0.62 0.82 0.70 0.81 0.85 0.71 0.83 1.00 -0.67 -0.76 H23 0.80 -0.48 -0.58 -0.71 -0.53 -0.63 -0.66 -0.63 -0.75 -0.67 1.00 0.50 H24 0.77 -0.97 -0.81 -0.84 -0.79 -0.89 -0.86 -0.87 -0.90 -0.76 0.50 1.00

Valorile maxime ale coeficientului de corelaţie ale unei variabile cu celelalte variabile a

constituit subiectul explorării matricii de corelaţie din Tabelul 36. Rezultatul acestei explorări este

redat în tabelul 37.

Tabelul 37. Valori maxime ale determinării în matricea de corelaţie (24 variabile)

Variabilă 1 Variabilă 2 Coeficient de determinare Coeficient de corelaţie H14 H24 0.94 -0.971 H24 H14 0.94 -0.971 H13 H21 0.93 -0.963 H18 H19 0.93 0.962 H19 H18 0.93 0.962 H21 H13 0.93 -0.963 H16 H18 0.92 0.960 H07 H18 0.90 0.946 H04 H16 0.89 -0.942 H06 H14 0.88 0.937 H09 H12 0.87 0.933 H12 H14 0.87 0.935 H20 H21 0.85 0.920 H01 H13 0.83 0.911 H02 H21 0.82 0.905 H10 H07 0.82 0.904 H15 H02 0.82 0.904 H03 H09 0.81 0.901 H08 H01 0.81 -0.901 H05 H07 0.79 0.887 H22 H04 0.79 -0.890 H17 H19 0.78 0.885

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H23 H13 0.64 0.801 H11 H17 0.39 -0.623

Evident că datele din Tabelul 37 conţin variabile dublate (atât Variabilă 1 corelează cu

Variabilă 2 cât şi viceversa), însă acest fapt nu afectează rezultatul obţinut. Valorile coeficientului

de determinare variază între 0.94 (obţinut pentru perechea formată de variabilele H14 şi H24) şi

0.39 (obţinut pentru perechea formată de variabilele H11 şi H17).

Clasificarea variabilelor în funcţie de coeficientul de determinare maxim pe care acestea îl

realizează cu celelalte variabile s-a realizat împărţind intervalul coeficientului de determinare în 5

intervale. Tabelul 38 redă grupurile formate de variabile după valoarea maximă a coeficientului de

determinare.

Tabelul 38. Clase ale celor 24 de proprietăţi ale celor 20 de amino acizi standard

Clasa Maxim Minim Volum Membrii clasei 1 0.94 0.83 14 H01 H04 H06 H07 H09 H12 H13 H14

H16 H18 H19 H20 H21 H24 2 0.83 0.72 14 H01 H02 H03 H04 H05 H07 H08 H09

H10 H15 H17 H19 H21 H22 3 0.72 0.61 2 H13 H23 4 0.61 0.50 0 5 0.50 0.39 2 H11 H17

După cum se observă în Tabelul 38, unii membrii se regăsesc în mai multe clase. Aplicând

principiul excluziunii acestora odată clasificaţi într-o clasă superioară, rezultatele se prezintă ca în

Tabelul 39.

Tabelul 39. Grupuri distincte ale celor 24 de proprietăţi ale celor 20 de amino acizi standard

Grup Maxim Minim Volum Membrii clasei 1 0.94 0.83 14 H01 H04 H06 H07 H09 H12 H13 H14

H16 H18 H19 H20 H21 H24 2 0.83 0.72 8 H02 H03 H05 H08 H10 H15 H17 H223 0.72 0.61 1 H23 4 0.61 0.50 0 5 0.50 0.39 1 H11

Din Tabelul 39 rezultă că H11 şi H23 sunt outlieri faţă de celelalte proprietăţi şi o clasificare

corectă a proprietăţilor trebuie să-i includă în expresia ecuaţiei de regresie.

De asemenea H11 şi H23 sunt hidrofobicităţi semnificativ distincte de celelalte 22, şi

acestora ar trebui să li se acorde o atenţie deosebită.

Studiu 5: folosind masa moleculară şi proprietăţile (în număr de 20)

Analiza de corelaţie a produs rezultatele date în Tabelul 40.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Tabelul 40. Matricea de corelaţie (20 variabile)

rP MM P01 P02 P03 P04 P05 P06 P07 P08 P09 MM 1.000 0.294 0.215 0.845 0.289 0.242 -0.373 -0.349 -0.662 0.489 P01 0.294 1.000 -0.550 0.072 -0.547 0.324 0.056 0.109 -0.527 -0.386 P02 0.215 -0.550 1.000 0.232 0.674 -0.034 -0.481 -0.337 0.434 0.607 P03 0.845 0.072 0.232 1.000 0.459 0.228 -0.475 -0.631 -0.496 0.621 P04 0.289 -0.547 0.674 0.459 1.000 -0.069 -0.648 -0.357 0.329 0.908 P05 0.242 0.324 -0.034 0.228 -0.069 1.000 -0.653 0.134 -0.191 0.070 P06 -0.373 0.056 -0.481 -0.475 -0.648 -0.653 1.000 0.150 -0.132 -0.694 P07 -0.349 0.109 -0.337 -0.631 -0.357 0.134 0.150 1.000 0.014 -0.410 P08 -0.662 -0.527 0.434 -0.496 0.329 -0.191 -0.132 0.014 1.000 0.134 P09 0.489 -0.386 0.607 0.621 0.908 0.070 -0.694 -0.410 0.134 1.000 P10 0.389 -0.528 0.866 0.450 0.640 -0.149 -0.334 -0.489 0.159 0.599 P11 0.255 -0.566 0.804 0.285 0.657 -0.303 -0.277 -0.352 0.248 0.550 P12 0.414 -0.313 0.811 0.277 0.509 -0.011 -0.362 -0.307 0.172 0.492 P13 0.281 -0.467 0.879 0.267 0.536 0.046 -0.388 -0.418 0.324 0.490 P14 -0.053 0.545 -0.666 -0.334 -0.671 -0.175 0.622 0.332 -0.389 -0.569 P15 0.207 -0.511 0.778 0.474 0.755 0.216 -0.722 -0.421 0.350 0.679 P16 0.140 -0.591 0.845 0.306 0.619 -0.053 -0.373 -0.430 0.413 0.567 P17 0.324 0.293 0.135 0.279 0.032 0.902 -0.701 0.056 -0.113 0.176 P18 -0.403 0.238 -0.678 -0.471 -0.754 -0.372 0.849 0.165 -0.143 -0.805 P19 -0.339 0.282 -0.498 -0.535 -0.513 -0.441 0.716 0.389 -0.059 -0.576 rP P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 MM 0.389 0.255 0.414 0.281 -0.053 0.207 0.140 0.324 -0.403 -0.339 P01 -0.528 -0.566 -0.313 -0.467 0.545 -0.511 -0.591 0.293 0.238 0.282 P02 0.866 0.804 0.811 0.879 -0.666 0.778 0.845 0.135 -0.678 -0.498 P03 0.450 0.285 0.277 0.267 -0.334 0.474 0.306 0.279 -0.471 -0.535 P04 0.640 0.657 0.509 0.536 -0.671 0.755 0.619 0.032 -0.754 -0.513 P05 -0.149 -0.303 -0.011 0.046 -0.175 0.216 -0.053 0.902 -0.372 -0.441 P06 -0.334 -0.277 -0.362 -0.388 0.622 -0.722 -0.373 -0.701 0.849 0.716 P07 -0.489 -0.352 -0.307 -0.418 0.332 -0.421 -0.430 0.056 0.165 0.389 P08 0.159 0.248 0.172 0.324 -0.389 0.350 0.413 -0.113 -0.143 -0.059 P09 0.599 0.550 0.492 0.490 -0.569 0.679 0.567 0.176 -0.805 -0.576 P10 1.000 0.886 0.857 0.877 -0.648 0.730 0.859 -0.050 -0.578 -0.570 P11 0.886 1.000 0.840 0.794 -0.476 0.606 0.622 -0.154 -0.486 -0.388 P12 0.857 0.840 1.000 0.925 -0.370 0.526 0.643 0.158 -0.553 -0.406 P13 0.877 0.794 0.925 1.000 -0.559 0.654 0.782 0.196 -0.559 -0.542 P14 -0.648 -0.476 -0.370 -0.559 1.000 -0.922 -0.807 -0.125 0.631 0.791 P15 0.730 0.606 0.526 0.654 -0.922 1.000 0.815 0.262 -0.768 -0.739 P16 0.859 0.622 0.643 0.782 -0.807 0.815 1.000 0.013 -0.605 -0.581 P17 -0.050 -0.154 0.158 0.196 -0.125 0.262 0.013 1.000 -0.498 -0.405 P18 -0.578 -0.486 -0.553 -0.559 0.631 -0.768 -0.605 -0.498 1.000 0.632 P19 -0.570 -0.388 -0.406 -0.542 0.791 -0.739 -0.581 -0.405 0.632 1.000

Valorile maxime ale coeficientului de corelaţie ale unei variabile cu celelalte variabile a

constituit subiectul explorării matricii de corelaţie din Tabelul 40. Rezultatul acestei explorări este

redat în tabelul 41.

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Tabelul 41. Valori maxime ale determinării în matricea de corelaţie (20 variabile)

Variabilă 1 Variabilă 2 Coeficient de determinare Coeficient de corelaţie P12 P13 0.86 0.925 P13 P12 0.86 0.925 P14 P15 0.85 -0.922 P15 P14 0.85 -0.922 P04 P09 0.82 0.908 P09 P04 0.82 0.908 P05 P17 0.81 0.902 P17 P05 0.81 0.902 P10 P11 0.78 0.886 P11 P10 0.78 0.886 P02 P13 0.77 0.879 P16 P10 0.74 0.859 P06 P18 0.72 0.849 P18 P06 0.72 0.849 MM P03 0.71 0.845 P03 MM 0.71 0.845 P19 P14 0.63 0.791 P08 MM 0.44 -0.662 P07 P03 0.4 -0.631 P01 P16 0.35 -0.591

Evident că datele din Tabelul 41 conţin variabile dublate (atât Variabilă 1 corelează cu

Variabilă 2 cât şi viceversa), însă acest fapt nu afectează rezultatul obţinut. Valorile coeficientului

de determinare variază între 0.86 (obţinut pentru perechea formată de variabilele P12 şi P13) şi 0.35

(obţinut pentru perechea formată de variabilele P01 şi P16).

Clasificarea variabilelor în funcţie de coeficientul de determinare maxim pe care acestea îl

realizează cu celelalte variabile s-a realizat împărţind intervalul coeficientului de determinare în 5

intervale. Tabelul 42 redă grupurile formate de variabile după valoarea maximă a coeficientului de

determinare.

Tabelul 42. Clase ale celor 20 de proprietăţi ale celor 20 de amino acizi standard

Clasa Maxim Minim Volum Membrii clasei 1 0.86 0.758 11 P02 P04 P05 P09 P10 P11 P12 P13

P14 P15 P17 2 0.758 0.656 6 MM P03 P06 P10 P16 P18 3 0.656 0.554 2 P14 P19 4 0.554 0.452 0 5 0.452 0.35 6 MM P01 P03 P07 P08 P16

După cum se observă în Tabelul 42, unii membrii se regăsesc în mai multe clase. Aplicând

principiul excluziunii acestora odată clasificaţi într-o clasă superioară, rezultatele se prezintă ca în

Tabelul 43.

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Tabelul 43. Grupuri distincte ale celor 20 de proprietăţi ale celor 20 de amino acizi standard

Grup Maxim Minim Volum Membrii clasei 1 0.86 0.758 11 P02 P04 P05 P09 P10 P11 P12 P13

P14 P15 P17 2 0.758 0.656 5 MM P03 P06 P16 P18 3 0.656 0.554 1 P19 4 0.554 0.452 0 5 0.452 0.35 3 P01 P07 P08

Din Tabelul 43 rezultă că P01, P07 şi P08 sunt outlieri faţă de celelalte proprietăţi şi o

clasificare corectă a proprietăţilor trebuie să-i includă în expresia ecuaţiei de regresie.

Studiu 6: folosind proprietăţile (în număr de 19)

Analiza de corelaţie a produs rezultatele date în Tabelul 44.

Tabelul 44. Matricea de corelaţie (20 variabile)

rP P01 P02 P03 P04 P05 P06 P07 P08 P09 P01 1.000 -0.550 0.072 -0.547 0.324 0.056 0.109 -0.527 -0.386 P02 -0.550 1.000 0.232 0.674 -0.034 -0.481 -0.337 0.434 0.607 P03 0.072 0.232 1.000 0.459 0.228 -0.475 -0.631 -0.496 0.621 P04 -0.547 0.674 0.459 1.000 -0.069 -0.648 -0.357 0.329 0.908 P05 0.324 -0.034 0.228 -0.069 1.000 -0.653 0.134 -0.191 0.070 P06 0.056 -0.481 -0.475 -0.648 -0.653 1.000 0.150 -0.132 -0.694 P07 0.109 -0.337 -0.631 -0.357 0.134 0.150 1.000 0.014 -0.410 P08 -0.527 0.434 -0.496 0.329 -0.191 -0.132 0.014 1.000 0.134 P09 -0.386 0.607 0.621 0.908 0.070 -0.694 -0.410 0.134 1.000 P10 -0.528 0.866 0.450 0.640 -0.149 -0.334 -0.489 0.159 0.599 P11 -0.566 0.804 0.285 0.657 -0.303 -0.277 -0.352 0.248 0.550 P12 -0.313 0.811 0.277 0.509 -0.011 -0.362 -0.307 0.172 0.492 P13 -0.467 0.879 0.267 0.536 0.046 -0.388 -0.418 0.324 0.490 P14 0.545 -0.666 -0.334 -0.671 -0.175 0.622 0.332 -0.389 -0.569 P15 -0.511 0.778 0.474 0.755 0.216 -0.722 -0.421 0.350 0.679 P16 -0.591 0.845 0.306 0.619 -0.053 -0.373 -0.430 0.413 0.567 P17 0.293 0.135 0.279 0.032 0.902 -0.701 0.056 -0.113 0.176 P18 0.238 -0.678 -0.471 -0.754 -0.372 0.849 0.165 -0.143 -0.805 P19 0.282 -0.498 -0.535 -0.513 -0.441 0.716 0.389 -0.059 -0.576 rP P10 P11 P12 P13 P14 P15 P16 P17 P18 P19 P01 -0.528 -0.566 -0.313 -0.467 0.545 -0.511 -0.591 0.293 0.238 0.282 P02 0.866 0.804 0.811 0.879 -0.666 0.778 0.845 0.135 -0.678 -0.498 P03 0.450 0.285 0.277 0.267 -0.334 0.474 0.306 0.279 -0.471 -0.535 P04 0.640 0.657 0.509 0.536 -0.671 0.755 0.619 0.032 -0.754 -0.513 P05 -0.149 -0.303 -0.011 0.046 -0.175 0.216 -0.053 0.902 -0.372 -0.441 P06 -0.334 -0.277 -0.362 -0.388 0.622 -0.722 -0.373 -0.701 0.849 0.716 P07 -0.489 -0.352 -0.307 -0.418 0.332 -0.421 -0.430 0.056 0.165 0.389 P08 0.159 0.248 0.172 0.324 -0.389 0.350 0.413 -0.113 -0.143 -0.059 P09 0.599 0.550 0.492 0.490 -0.569 0.679 0.567 0.176 -0.805 -0.576 P10 1.000 0.886 0.857 0.877 -0.648 0.730 0.859 -0.050 -0.578 -0.570

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P11 0.886 1.000 0.840 0.794 -0.476 0.606 0.622 -0.154 -0.486 -0.388P12 0.857 0.840 1.000 0.925 -0.370 0.526 0.643 0.158 -0.553 -0.406P13 0.877 0.794 0.925 1.000 -0.559 0.654 0.782 0.196 -0.559 -0.542P14 -0.648 -0.476 -0.370 -0.559 1.000 -0.922 -0.807 -0.125 0.631 0.791P15 0.730 0.606 0.526 0.654 -0.922 1.000 0.815 0.262 -0.768 -0.739P16 0.859 0.622 0.643 0.782 -0.807 0.815 1.000 0.013 -0.605 -0.581P17 -0.050 -0.154 0.158 0.196 -0.125 0.262 0.013 1.000 -0.498 -0.405P18 -0.578 -0.486 -0.553 -0.559 0.631 -0.768 -0.605 -0.498 1.000 0.632P19 -0.570 -0.388 -0.406 -0.542 0.791 -0.739 -0.581 -0.405 0.632 1.000

Valorile maxime ale coeficientului de corelaţie ale unei variabile cu celelalte variabile a

constituit subiectul explorării matricii de corelaţie din Tabelul 44. Rezultatul acestei explorări este

redat în tabelul 45.

Tabelul 45. Valori maxime ale determinării în matricea de corelaţie (20 variabile)

Variabilă 1 Variabilă 2 Coeficient de determinare Coeficient de corelaţie P12 P13 0.86 0.925 P13 P12 0.86 0.925 P14 P15 0.85 -0.922 P15 P14 0.85 -0.922 P04 P09 0.82 0.908 P09 P04 0.82 0.908 P05 P17 0.81 0.902 P17 P05 0.81 0.902 P10 P11 0.78 0.886 P11 P10 0.78 0.886 P02 P13 0.77 0.879 P16 P10 0.74 0.859 P06 P18 0.72 0.849 P18 P06 0.72 0.849 P19 P14 0.63 0.791 P03 P07 0.4 -0.631 P07 P03 0.4 -0.631 P01 P16 0.35 -0.591 P08 P01 0.28 -0.527

Evident că datele din Tabelul 45 conţin variabile dublate (atât Variabilă 1 corelează cu

Variabilă 2 cât şi viceversa), însă acest fapt nu afectează rezultatul obţinut. Valorile coeficientului

de determinare variază între 0.86 (obţinut pentru perechea formată de variabilele P12 şi P13) şi 0.28

(obţinut pentru perechea formată de variabilele P01 şi P08).

Clasificarea variabilelor în funcţie de coeficientul de determinare maxim pe care acestea îl

realizează cu celelalte variabile s-a realizat împărţind intervalul coeficientului de determinare în 5

intervale. Tabelul 46 redă grupurile formate de variabile după valoarea maximă a coeficientului de

determinare.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Tabelul 46. Clase ale celor 19 de proprietăţi ale celor 20 de amino acizi standard

Clasa Maxim Minim Volum Membrii clasei 1 0.86 0.744 11 P02 P04 P05 P09 P10 P11 P12 P13

P14 P15 P17 2 0.744 0.628 6 P06 P10 P14 P16 P18 P19 3 0.628 0.512 0 4 0.512 0.396 2 P03 P07 5 0.396 0.28 3 P01 P08 P16

După cum se observă în Tabelul 46, unii membrii se regăsesc în mai multe clase. Aplicând

principiul excluziunii acestora odată clasificaţi într-o clasă superioară, rezultatele se prezintă ca în

Tabelul 47.

Tabelul 47. Grupuri distincte ale celor 19 de proprietăţi ale celor 20 de amino acizi standard

Grup Maxim Minim Volum Membrii clasei 1 0.86 0.744 11 P02 P04 P05 P09 P10 P11 P12 P13

P14 P15 P17 2 0.744 0.628 4 P06 P16 P18 P19 3 0.628 0.512 0 4 0.512 0.396 2 P03 P07 5 0.396 0.28 2 P01 P08

Din Tabelul 47 rezultă că P01 şi P08 sunt outlieri faţă de celelalte proprietăţi şi o clasificare

corectă a proprietăţilor trebuie să-i includă în expresia ecuaţiei de regresie.

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Obiective şi rezultate Etapa II(2008).

Obiectiv: Analiza şi modelarea colagen tip I

Modelare colagen tip I

Seria de timp a secvenţelor de aminoacizi a permis analiza de pattern-uri. Figura următoare

(Figura 15) redă analiza de pattern-uri aplicată secvenţei α1 a colagenului de tip I a Homo sapiens.

Figura 15. Analiza de pattern aplicată şirului α1 al colagenului de tip I al Homo Sapiens

Aşa cum se observă din Figura 15, şirul α1 al colagenului de tip I al Homo sapiens relevă

prezenţa sistematică a unui pattern (Pattern 1 în Figura 15) compus din secvenţa de aminoacizi

GAPGPAG care are admite înlocuirile A vs. P vs. M fără ca acestea să fie considerate mutaţii

datorită similarităţii acestor aminoacizi. Aşa cum se remarcă din Figura 16, acest pattern se repetă şi

în cazul şirului α2 al colagenului de tip I al Homo sapiens.

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Figura 16. Analiza de pattern aplicată şirului α2 al colagenului de tip I al Homo Sapiens

Seriile de timp ale proprietăţilor fizico-chimice şi biologice ale colagenului de tip I din cele 5

specii considerate au constituit subiectul investigaţiei de detaliu.

Figurile următoare redau seriile de timp obţinute.

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Figura 17. Seria de timp a antigenicităţii pentru şirul α1 al Box Taurus

Figura 18. Seria de timp a antigenicităţii pentru şirul α2 al Box Taurus

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Figura 19. Seria de timp a hidrofobicităţii (scara Kyte-Doolittle) pentru şirul α1 al Box Taurus

Figura 20. Seria de timp a hidrofobicităţii (scara Kyte-Doolittle) pentru şirul α2 al Box Taurus

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Figura 21. Seria de timp a antigenicităţii pentru şirul α1 al Canis Lupus

Figura 22. Seria de timp a antigenicităţii pentru şirul α2 al Canis Lupus

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Figura 23. Seria de timp a hidrofobicităţii (scara Kyte-Doolittle) pentru şirul α1 al Canis Lupus

Figura 24. Seria de timp a hidrofobicităţii (scara Kyte-Doolittle) pentru şirul α2 al Canis Lupus

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Figura 25. Seria de timp a antigenicităţii pentru şirul α1 al Homo Sapiens

Figura 26. Seria de timp a antigenicităţii pentru şirul α2 al Homo Sapiens

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Figura 27. Seria de timp a hidrofobicităţii (scara Kyte-Doolittle) pentru şirul α1 al Homo Sapiens

Figura 28. Seria de timp a hidrofobicităţii (scara Kyte-Doolittle) pentru şirul α2 al Homo Sapiens

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Figura 29. Seria de timp a antigenicităţii pentru şirul α1 al Rattus Norvegicus

Figura 30. Seria de timp a antigenicităţii pentru şirul α2 al Rattus Norvegicus

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Figura 31. Seria de timp hidrofobicitate (scara Kyte-Doolittle) pentru şirul α1 Rattus Norvegicus

Figura 32. Seria de timp hidrofobicitate (scara Kyte-Doolittle) pentru şirul α2 Rattus Norvegicus

Analiza descriptivă detaliată s-a făcut asupra colagenului de tip I din Homo Sapiens. Tabelul

48 cuprinde rezultatele obţinute.

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Tabelul 48. Caracteristicile şirurilor α1 şi α2 ale colagenului de tip I ale Homo Sapiens

Caracteristică Şirul α1 Şirul α2 Tip secvenţă Proteină Proteină Lungime (amino acizi) 1069 1336 amino acid N-terminal Metionină Metionină Residuuri hidrofobic (A, F, G, I, L, M, P, V, W) 764 927 Residuuri hidrofile (C, N, Q, S, T, Y) 115 193 Alte reziduuri 190 246

Distribuţia de frecvenţe a aminoacizilor a fost investigată. Rezultatele sunt redate în Figura

33, în care se observă că de departe cei mai frecvenţi aminoacizi sunt Glicina (cu 381 de apariţii în

şirul α2 şi 329 apariţii în şirul α1) şi Prolina (cu 231 de apariţii în şirul α2 şi 230 de apariţii în şirul

α1).

115130

109

414357

6614

22329

3813

1510

3238

5029

61810

1441

230231

3033

5172

3552

2342

2855

15

316

0 50 100 150 200 250 300 350 400

Alanine (A)

Aspartate (D)

Phenylalanine (F)

Histidine (H)

Lysine (K)

Methionine (M)

Proline (P)

Arginine (R)

Threonine (T)

Tryptophan (W)α1 chain α2 chain

Figura 33. Distribuţia de fracvenţe a aminoacizilor în colagenul de tip I al Homo Sapiens

Analiza de detaliu a paternurilor în cele două şiruri ale colagenului de tip I al Homo sapiens

a dus la rezultatele prezentate în Tabelele 49 şi 50.

Tabelul 49. Pattern-uri pe şirul α1 al colagenului de tip I al Homo Sapiens

Nr Pattern fpattern Lungime Nr Pattern fpattern Lungime1 AG 31 2 25 GPAGP 5 52 GP 107 2 26 GPPGA 5 53 PG 70 2 27 GPPGE 3 5

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4 GAP 19 3 28 GPPGP 20 5 5 GEP 11 3 29 PGAKG 5 5 6 GLP 11 3 30 AGPPGA 2 6 7 GPP 38 3 31 ANGAPG 2 6 8 GSP 9 3 32 APGAPG 2 6 9 PAG 20 3 33 LPGPPG 2 6

10 GAPG 15 4 34 PAGPKG 2 6 11 GEAG 3 4 35 PAGPPG 5 6 12 GEPG 6 4 36 PPGPAG 8 6 13 GERG 4 4 37 PPGPPG 6 6 14 GFPG 4 4 38 RGPPGP 2 6 15 GLPG 9 4 39 GANGAPG 2 7 16 GPAG 8 4 40 GAPGAPG 2 7 17 GPPG 32 4 41 GERGFPG 2 7 18 GPRG 5 4 42 GERGPPG 2 7 19 GRPG 4 4 43 GLPGPPG 3 7 20 GSPG 9 4 44 GPAGPKG 2 7 21 AGAPG 4 5 45 GPAGPPG 4 7 22 AGPKG 2 5 46 GPPGPAG 8 7 23 GAPGP 3 5 47 GPPGPPG 5 7 24 GLPGP 4 5 fpattern = frecvenţă absolută pattern

Tabelul 50. Pattern-uri pe şirul α2 al colagenului de tip I al Homo Sapiens

Nr Pattern fpattern Lungime Nr Pattern fpattern Lungime 1 GE 35 2 25 GPAGP 10 5 2 GP 120 2 26 GPPGP 12 5 3 PG 69 2 27 GPSGP 4 5 4 AGP 24 3 28 GPVGP 2 5 5 EPG 9 3 29 RGLPG 5 5 6 LPG 12 3 30 RGPPG 3 5 7 PGP 31 3 31 GPAGAR 3 6 8 PPG 3 3 32 PAGPPG 2 6 9 RGP 13 3 33 PAGPRG 4 6

10 SGP 9 3 34 PPGPPG 7 6 11 VGP 12 3 35 PPGPSG 2 6 12 GAPG 9 4 36 PVGAAG 3 6 13 GEPG 9 4 37 PVGPAG 2 6 14 GLPG 14 4 38 GAPGPAG 2 7 15 GPAG 25 4 39 GARGAPG 2 7 16 GPPG 25 4 40 GNKGEPG 2 7 17 GPQG 4 4 41 GPAGPAG 2 7 18 GPRG 3 4 42 GPAGPPG 3 7 19 GPSG 3 4 43 GPPGPAG 2 7 20 GPTG 3 4 44 GPPGPPG 4 7 21 GPVG 4 4 45 GPRGLPG 2 7 22 AGPPG 3 5 46 GPSGPAG 2 7 23 GAPGE 2 5 47 GPVGPAG 3 7 24 GAPGP 6 5 fpattern = frecvenţă absolută pattern

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Investigaţia de paternuri pe ambele şiruri de colagen de tip I a arătat un număr de 180 de

paternuri distincte având de la 3 la 7 aminoacizi. Doar aproape 13% din paternurile identificate apar

simultan în ambele şiruri. Tabelul 51 conţine aceste paternuri.

Tabelul 51. Pattern-uri comune şirurilor α1 şi α2 din colagenul de tip I al Homo Sapiens

FrecvenţăNr Pattern Lungime α1 α2

1 DLRL 4 1 12 GAPGPAG 7 1 23 GAPGPQG 7 1 14 GEPGAPG 7 1 15 GFPGAAG 7 1 16 GPAGPPG 7 4 37 GPPGPAG 7 10 28 GPPGPPG 7 3 49 GPPGPQG 7 1 1

10 GPPGPSG 7 1 211 GPRGLPG 7 1 212 GPSGPAG 7 1 213 GPSGPQG 7 1 114 GPVGPAG 7 1 315 GSAGPPG 7 1 1

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Obiective şi rezultate Etapa II(2008).

Obiectiv: Elaborare modele şi disponibilizare rezultate

Elaborare modele

Elaborarea modelelor s-a realizat pe baza relaţiei structură-activitate a aminoacizilor

standard. S-au elaborat modele structură-activitate pentru fiecare din cele 24 de hidrofobicităţi

folosind metodologia MDF (Familia de Descriptori Moleculari). Parametrii implicaţi în modelele

obţinute sunt redaţi în Tabelul 52.

Tabelul 52. Caractere utilizate în denumirea descriptorilor moleculari membrii ai MDF

Literă Caractere Posibilităţi Prima I-i-A-a-L-l 6 A doua m-M-n-N-S-P-s-A-a-B-b-G-g-F-f-H-h-I-i 19 A treia m-M-D-P 4 A patra R-r-M-m-D-d 6 A cincea D-d-O-o-P-p-Q-q-J-j-K-k-L-l-V-E-W-w-F-f-S-s-T-t 24 A şasea C-H-M-E-G-Q 6 A şaptea g-t 2

Literele ce apar în denumirea descriptorilor membrii MDF codifică parametrii fizici ai

modelului folosit pentru calcularea descriptorului. Aceştia sunt după cum urmează:

÷ Operatorul de distanţă (litera a 7-a) codifică tipul metricii folosite în calcularea distanţelor în

moleculă şi admite două valori:

o `t` - codificând distanţa topologică (folosind adiacenţele grafului molecular);

o `g` - codificând distanţa geometrică (folosind distanţele euclidiene din modelul

geometric optimizat al moleculei);

÷ Proprietatea atomică (litera a 6-a) codifică una dintre următoarele (şase) proprietăţi atomice ale

căror modele de manifestare macroscopică sunt construite prin intermediul descriptorului

molecular:

o `C` - codifică proprietatea matematică cardinalitate (mărime adimensională unitară

pentru un heteroatom);

o `H` - codifică proprietatea matematică de numărare a atomilor de hidrogen adiacenţi

unui heteroatom;

o `M` - codifică proprietatea fizică masă moleculară relativă (relativă la a 12-a parte din

masa absolută a izotopului 12 al atomului de carbon);

o `E` - codifică proprietatea chimică electronegativitate calculată pe o scară relativă în care

atomul de hydrogen are electronegativitatea 1 şi atomul de fluor are electronegativitatea

4 (scara Sanderson);

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o `G` - codifică proprietatea chimică electronegativitate de grup calculată cu o formulă de

medie geometrică ponderată cu ordinul de legătură al electronegativităţii grupului de

atomi adiacenţi în centrul căruia se află atomul considerat (formula Diudea);

o `Q` - codifică proprietatea cuantică sarcină atomică parţială şi rezultă din aplicarea

modelului extins Hückel în aproximaţia semiempirică de punct singular;

÷ Expresia descriptorului de proprietate, ce implementează o serie de formule de descriptori

cunoscute din legile fizicii clasice şi relativiste, având una din următoarele 24 expresii:

o `D` - descriptorul de proprietate este proporţional cu distanţa;

o `d` - descriptorul de proprietate este proporţional cu inversul distanţei;

o `O` - descriptorul de proprietate este proporţional cu proprietatea primului atom (cel

asupra căruia se calculează descriptorul);

o `o` - descriptorul de proprietate este proporţional cu inversul proprietăţii primului atom

(cel asupra căruia se calculează descriptorul);

o `P` - descriptorul de proprietate este proporţional cu produsul proprietăţilor primului

atom (cel asupra căruia se calculează descriptorul) şi atomului probă (cel în care se

calculează valoarea descriptorului);

o `p` - descriptorul de proprietate este proporţional cu inversul produsului proprietăţilor

primului atom (cel asupra căruia se calculează descriptorul) şi atomului probă (cel în

care se calculează valoarea descriptorului);

o `Q` - descriptorul de proprietate este proporţional cu media geometrică cu semn a

proprietăţilor primului atom (cel asupra căruia se calculează descriptorul) şi atomului

probă (cel în care se calculează valoarea descriptorului);

o `q` - descriptorul de proprietate este proporţional cu inversul mediei geometrice cu semn

proprietăţilor primului atom (cel asupra căruia se calculează descriptorul) şi atomului

probă (cel în care se calculează valoarea descriptorului);

o `J` - descriptorul de proprietate este proporţional cu lucrul (produsul dintre proprietate şi

distanţă) proprietăţii primului atom (cel asupra căruia se calculează descriptorul);

o `j` - descriptorul de proprietate este proporţional cu inversul lucrului (produsul dintre

proprietate şi distanţă) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul);

o `K` - descriptorul de proprietate este proporţional cu energia (produsul proprietăţilor şi

distanţei) proprietăţii primului atom (cel asupra căruia se calculează descriptorul) şi

atomului probă (cel în care se calculează valoarea descriptorului);

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o `k` - descriptorul de proprietate este proporţional cu inversul energiei (produsul

proprietăţilor şi distanţei) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul) şi atomului probă (cel în care se calculează valoarea descriptorului);

o `L` - descriptorul de proprietate este proporţional cu lucrul mediu (produsul dintre media

geometrică a proprietăţii şi distanţă) proprietăţii primului atom (cel asupra căruia se

calculează descriptorul) şi atomului probă (cel în care se calculează valoarea

descriptorului);

o `l` - descriptorul de proprietate este proporţional cu inversul lucrului mediu (produsul

dintre media geometrică a proprietăţii şi distanţă) proprietăţii primului atom (cel asupra

căruia se calculează descriptorul) şi atomului probă (cel în care se calculează valoarea

descriptorului);

o `V` - descriptorul de proprietate este proporţional cu potenţialul (raportul între

proprietate şi distanţă) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul);

o `E` - descriptorul de proprietate este proporţional cu câmpul (raportul între proprietate şi

pătratul distanţei) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul);

o `W` - descriptorul de proprietate este proporţional cu lucrul (pătratul proprietăţii împărţit

la distanţă) proprietăţii primului atom (cel asupra căruia se calculează descriptorul);

o `w` - descriptorul de proprietate este proporţional cu lucrul (produsul proprietăţilor

împărţit la distanţă) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul) şi atomului probă (cel în care se calculează valoarea descriptorului);

o `F` - descriptorul de proprietate este proporţional cu forţa (pătratul proprietăţii împărţit la

pătratul distanţei) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul);

o `f` - descriptorul de proprietate este proporţional cu forţa (produsul proprietăţilor

împărţit la pătratul distanţei) proprietăţii primului atom (cel asupra căruia se calculează

descriptorul) şi atomului probă (cel în care se calculează valoarea descriptorului);

o `S` - descriptorul de proprietate este proporţional cu forţa nucleară slabă (pătratul

proprietăţii împărţit la cubul distanţei) proprietăţii primului atom (cel asupra căruia se

calculează descriptorul);

o `s` - descriptorul de proprietate este proporţional cu forţa nucleară slabă (produsul

proprietăţilor împărţit la cubul distanţei) proprietăţii primului atom (cel asupra căruia se

calculează descriptorul) şi atomului probă (cel în care se calculează valoarea

descriptorului);

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o `T` - descriptorul de proprietate este proporţional cu forţa nucleară tare (pătratul

proprietăţii împărţit la puterea a 4-a a distanţei) proprietăţii primului atom (cel asupra

căruia se calculează descriptorul);

o `t` - descriptorul de proprietate este proporţional cu forţa nucleară tare (produsul

proprietăţilor împărţit la puterea a 4-a a distanţei) proprietăţii primului atom (cel asupra

căruia se calculează descriptorul) şi atomului probă (cel în care se calculează valoarea

descriptorului);

÷ Modelul de interacţiune implementează 3 modele clasice (rar, mediu şi dens) cu câte 2 variante

fiecare (relativ la atomul de referinţă al fragmentului şi relativ la atomul probă) după cum

urmează:

o `R` - model rar relativ la atomul de referinţă al fragmentului; se calculează centrul de

proprietate (similar centrului de masă) folosind valorile proprietăţii; se presupune

cumulată întreaga valoare (scalară) a proprietăţii în centrul de proprietate; se obţine

rezultanta de interacţiune folosind proprietatea cumulată, proprietatea atomului de

referinţă al fragmentului şi coordonata centrului de proprietate prin aplicarea

descriptorului de proprietate;

o `r` - model rar relativ la atomul probă; se calculează centrul de proprietate (similar

centrului de masă) folosind valorile proprietăţii; se presupune cumulată întreaga valoare

(scalară) a proprietăţii în centrul de proprietate; se obţine rezultanta de interacţiune

folosind proprietatea cumulată, proprietatea atomului probă şi coordonata centrului de

proprietate prin aplicarea descriptorului de proprietate;

o `M` - model mediu relativ la atomul de referinţă al fragmentului; se obţine rezultanta de

interacţiune ca sumă scalară a valorilor descriptorului de interacţiune acţionând în

atomul de referinţă al fragmentului;

o `m` - model mediu relativ la atomul probă; se obţine rezultanta de interacţiune ca sumă

scalară a valorilor descriptorului de interacţiune acţionând în atomul probă;

o `D` - model dens relativ la atomul de referinţă al fragmentului; se calculează şi se

suprapun (scalar) componentele axiale ale descriptorului de interacţiune (tratat ca un

vector având direcţia dată de vectorul distanţă) pentru fiecare atom al fragmentului

relativ la atomul de referinţă al fragmentului; se calculează rezultanta de interacţiune din

componentele axiale ale suprapunerii descriptorilor de interacţiune;

o `d` - model dens relativ la atomul probă; se calculează şi se suprapun (scalar)

componentele axiale ale descriptorului de interacţiune (tratat ca un vector având direcţia

dată de vectorul distanţă) pentru fiecare atom al fragmentului relativ la atomul probă; se

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calculează rezultanta de interacţiune din componentele axiale ale suprapunerii

descriptorilor de interacţiune;

÷ Metoda de fragmentare implementează fragmentări bazate pe perechi de atomi; sunt

implementate 4 metode de fragmentare:

o `m` - fragmente minimale, generând totdeauna doar atomul de referinţă (primul din

perechea de atomi);

o `M` - fragmente maximale, generând cel mai mare fragment (subgraph conex) care se

poate obţine din molecula iniţială prin eliminarea atomului probă (al doilea din perechea

de atomi) şi care conţine atomul de referinţă;

o `D` - fragmente bazate pe distanţă (sau fragmente Szeged, vezi Gutman), conţinând toţi

atomii situaţi mai aproapiaţi de atomul de referinţă decât de atomul probă;

o `P` - fragmente bazate pe căi (sau fragmente Cluj, vezi Diudea), conţinând toţi atomii

mai apropiaţi de atomul de referinţă decât de atomul probă după eliminarea unei căi

(calea este distanţa cea mai scurtă pe adiacenţe) între atomul de referinţă şi atomul

probă; cum în moleculele cu cicluri pot exista mai multe căi între 2 atomi, criteriul

generează mai multe fragmente corespunzătoare unei perechi de atomi; se generează

prin procedura toate fragmentele posibile;

÷ Metoda de suprapunere a rezultantelor fragmentale conţine 19 operaţii de suprapunere, 4 fiind

condiţionale, 5 fiind suprapuneri aritmetice, 5 fiind suprapuneri geometrice şi 5 fiind

suprapuneri armonice:

o `m` - este selectată cea mai mică valoare;

o `M` - este selectată cea mai mare valoare;

o `n` - este selectată cea mai mică valoare absolută;

o `N` - este selectată cea mai mare valoare absolută;

o `S` - este calculată suma aritmetică;

o `A` - este calculată media aritmetică;

o `a` - se împarte suma `S` la numărul de fragmente valide (cu valori reale);

o `B` - se face media aritmetică pe fiecare atom de referinţă; se face apoi media aritmetică;

o `b` - se împarte suma `S` la numărul de legături din moleculă;

o `P` - este calculată suma geometrică (produsul);

o `G` - este calculată media geometrică;

o `g` - se ponderează produsul `P` la numărul de fragmente valide (cu valori reale);

o `F` - se face media geometrică pe fiecare atom de referinţă; se face apoi media

geometrică;

o `f` - ponderează produsul `P` la numărul de legături din moleculă;

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o `s` - este calculată suma armonică;

o `H` - este calculată media armonică;

o `h` - se împarte suma `s` la numărul de fragmente valide (cu valori reale);

o `I` - se face media armonică pe fiecare atom de referinţă; se face apoi media armonică;

o `i` - se împarte suma `s` la numărul de legături din moleculă;

÷ Operatorul de linearizare implementează 6 operaţii matematice asupra suprapunerii obţinute:

o `I` - identitate (rezultatul rămâne neschimbat);

o `i` - inversa (1/`I`);

o `A` - valoarea absolută (|`I`|);

o `a` - inversul valorii absolute (1/`A`);

o `L` - logaritmul natural al valorii absolute (ln`A`);

o `l` - logaritmul natural al valorii iniţiale (ln`I`);

Analiza hidrofobicităţii (prin cele 24 de scale ale sale) a constituit subiectul modelării

folosind familia de descriptori moleculari. Legătura hidrofobicităţii cu structura aminoacizilor este

dată de modelele structură-activitate obţinute.

Tabelul 53 dă distribuţia frecvenţelor de apariţie ale parametrilor de model folosind

metodologia MDF.

Tabelul 53. Distribuţia caracterelor în descriptori (Chr - caracterul; fa - frecvenţa absolută) Item Remarci

Litera 1 Semnificaţie Interpretare Chr fa Operator linearizare A 4 |·| i 16 1/· l 4 ln(·)

Marea majoritate (66.6%) a operaţiilor necesare pentru linearizarea indicatorului de structură cu hidrofobicitatea observată necesită inversarea valorii indicatorului de structură.

Litera 2 Semnificaţie Interpretare Chr fa Operator suprapunere A 3 Avg(·) B 5 Σ(·)/mol.legături f 1 (Π(·))1/mol.legături

G 1 Geo(·) H 1 Har(·) I 1 Har(Har(·/at)/mol.at) m 7 Min(·) n 5 Min(|·|)

Un număr relative mare din totalul hidrofobicităţilor (în fapt majoritatea, 50%) sunt proprietăţi selective, preferând selecţia valorii minime (`m` sau `n`) din seria de valori fragmentale. De asemenea, un număr relative important (33%) sunt proprietăţi cu manifestare uniformă (medie) şi liniară (aritmetică) preferând suma valorilor fragmentale împărţită fie la numărul de atomi fie la numărul de legături ale moleculei.

Litera 3 Semnificaţie Interpretare Chr fa Criteriu de fragmentareD 7 Distanţe m 11 Minimal P 6 Căi

Chiar dacă nu majoritatea (45.8%) un număr foarte mare de hidrofobicităţi se manifestă pe bază de atomi individuali (sau fragmente minimale), proprietatea acestora fiind determinantă.

Litera 4 Semnificaţie

Page 88: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Chr fa Model de interacţiune Interpretare d 4 dens/atom probă m 2 mediu/atom probă r 18 rar/atom probă

Practic toate modelele preferate au în comun că suprapunerile în fragmente sunt obţinute în atomul probă. Marea majoritate (75%) sunt interacţiuni rare.

Litera 5 Semnificaţie Interpretare Chr fa Formulă descriptor F 1 Forţă K 3 Energie L 5 Forţă O 7 Proprietate p 5 Proprietate W 3 Lucru

Jumătate (50%) din modelele preferate se bazează exclusiv pe proprietatea atomică (`O` şi `p`), în timp ce distribuţia între celelalte mărimi este relativ uniformă (6 = Forţă; 6 = Energie + Lucru). Observaţia este susţinută şi de preferinţa anterior observată pentru fragmentele formate dintr-un singur atom (Litera 3).

Litera 6 Semnificaţie Interpretare Chr fa Proprietate atomică E 1 electronegativitate Q 23 sarcină electrică parţială

Aproape exclusiv proprietatea atomică determinantă în manifestarea hidrofobicităţii (96%, cu o confidenţă la 95% de la 79% la 100%) este sarcina electrică parţială.

Litera 7 Semnificaţie Interpretare Chr fa Metrică distanţă g 19 distanţă geometrică t 5 distanţă topologică

Peste 79% din modelele de hidrofobicitate sunt constituite pe baza distanţei geometrice care separă atomii în spaţiu în defavoarea distanţei pe adiacenţe

Analiza corelaţiei rangurilor a fost efectuată prin aplicarea următorilor paşi:

÷ Pasul 1. Reprezentarea matriceală. Matricea poziţiilor fiecărui aminoacid standard pentru fiecare

şir al colagenului de tip 1 şi fiecare specie a fost construită. În continuare este redată această

matrice. Coloanele conţin aminoacidul de interes din fiecare specie, ordonate descrescător după

numărul de elemente (poziţii). Liniile conţin poziţiile apariţiilor aminoacizilor în şiruri. N | 390 | 389 | 382 | 382 | 381 | 381 | 380 | 345 | 344 | 329 | 279 | 278 | 236 | 235 | 235 | 231 | 230 | 223 | 162 | 143 | 138 | 137 | 130 | 126 | 126 | 125 | 123 | 116 | 115 | 113 | 108 | 102 | 82 | 76 | 74 | 73 | 73 | 72 | 72 | 71 | 70 | 68 | 67 | 66 | 65 | 64 | 64 | 64 | 62 | 62 | 61 | 60 | 59 | 58 | 58 | 58 | 57 | 57 | 57 | 56 | 56 | 55 | 55 | 54 | 54 | 53 | 52 | 52 | 52 | 51 | 51 | 51 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 48 | 47 | 47 | 46 | 44 | 44 | 43 | 43 | 43 | 43 | 43 | 42 | 42 | 42 | 42 | 41 | 41 | 40 | 40 | 39 | 39 | 39 | 38 | 37 | 37 | 36 | 36 | 35 | 35 | 35 | 35 | 35 | 35 | 34 | 34 | 34 | 33 | 32 | 31 | 30 | 30 | 29 | 29 | 28 | 28 | 27 | 26 | 25 | 25 | 25 | 25 | 24 | 23 | 23 | 23 | 23 | 22 | 21 | 21 | 21 | 21 | 21 | 21 | 19 | 18 | 18 | 18 | 18 | 17 | 16 | 16 | 16 | 16 | 15 | 15 | 15 | 14 | 14 | 14 | 14 | 13 | 13 | 13 | 12 | 12 | 12 | 11 | 11 | 10 | 10 | 10 | 10 | 9 | 9 | 9 | 9 | 9 | 9 | 8 | 8 | 8 | 8 | 8 | 7 | 6 | 6 | 6 | 5 | 5 | 5 | 5 | 5 | 5 | 3 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 0 | C1g | B1g | D1g | D2g | C2g | H2g | B2g | R2g | R1g | H1g | B1p | C1p | B2p | C2p | D1p | H2p | H1p | D2p | D1a | B1a | C1a | D2a | H2a | R1p | B2a | R1a | C2a | R1x | H1a | R2p | R2a | R2x | D1e | B1e | C1e | B2r | C2r | D2r | H2r | C1r | B1r | D1r | D2s | H2e | C2e | B1d | B2e | C1d | D1d | D1s | H2l | B2l | C2l | C1s | D1k | B1s | B1k | H1e | D2l | D2e | C1k | H2v | R2r | B2s | R1e | D1t | C2s | R1r | H2s | H1r | B1q | C2t | D2k | C2v | H2k | C2k | C1q | B1l | B2k | B2v | R2e | C1t | C1l | D2d | B1t | D2n | B2d | H2d | C2d | B2n | B2t | B1v | C1v | H2t | C2n | H1d | H2n | D1q | D2t | D1v | R1s | R2v | H1k | D2q | D1l | B2q | D1i | H1s | B2i | C2q | D1n | R1k | D2v | R2l | C2i | R1d | H2q | H2i | C1n | H1q | D2i | B1n | H1l | H1v | D1f | R2s | C1i | D1m | C1f | B1i | R1q | B1f | R2q | H1t | R2d | B2f | H2f | D2f | C2f | R2k | R2n | R2t | R1l | R2i | D1c | R1v | B1c | C1c | D2m | R1t | C1y | B1y | H2y | C2y | C1m | H2h | R2f | H1f | H1n | D2y | B1m | B2y | R1f | B2h | R1n | C2h | D2h | C2m | H1i | H1c | H2m | D1h | D1y | B1h | B2m | B2c | C2c | H2c | R1i | R1m | C1h | D2c | H1m | R2h | C1w | D1w | B1w | D2w | C2w | H2w | B2w | R1y | R2m | H1y | R1h | H1h | R2y | H1w | B2x | B1x | R2w | D1x | D2x | H1x | H2x | R1w | R2c | C2x | R1c | C1x 1 | 22 | 22 | 22 | 25 | 33 | 33 | 33 | 6 | 5 | 22 | 36 | 32 | 34 | 34 | 48 | 34 | 36 | 29 | 10 | 14 | 14 | 14 | 14 | 16 | 14 | 33 | 14 | 28 | 14 | 9 | 4 | 21 | 25 | 24 | 24 | 8 | 8 | 8 | 8 | 8 | 8 | 21 | 3 | 27 | 27 | 6 | 27 | 6 | 6 | 3 | 2 | 2 | 2 | 3 | 47 | 3 | 54 | 24 | 2 | 35 | 50 | 5 | 18 | 3 | 1 | 16 | 3 | 25 | 3 | 8 | 23 | 7 | 27 | 5 | 32 | 32 | 23 | 7 | 32 | 5 | 1 | 16 | 7 | 6 | 16 | 65 | 6 | 6 | 6 | 76 | 7 | 5 | 5 | 7 | 76 | 6 | 76 | 23 | 7 | 5 | 3 | 77 | 54 | 23 | 8 | 23 | 7 | 3 | 58 | 23 | 14 | 9 | 5 | 14 | 58 | 7 | 23 | 179 | 39 | 23 | 9 | 43 | 7 | 5 | 2 | 24 | 31 | 1 | 2 | 35 | 37 | 2 | 30 | 16 | 3 | 4 | 4 | 4 | 4 | 5 | 102 | 45 | 27 | 98 | 33 | 15 | 40 | 36 | 1 | 11 | 43 | 47 | 81 | 81 | 1 | 146 | 2 | 2 | 43 | 18 | 1 | 948 | 39 | 144 | 67 | 146 | 106 | 1 | 35 | 40 | 1 | 81 | 40 | 21 | 1 | 18 | 18 | 18 | 13 | 2 | 21 | 22 | 1 | 65 | 49 | 46 | 53 | 1159 | 1173 | 1173 | 1171 | 4 | 12 | 47 | 105 | 21 | 1024 | 53 2 | 26 | 26 | 24 | 28 | 36 | 36 | 36 | 7 | 12 | 26 | 37 | 33 | 40 | 40 | 50 | 40 | 37 | 32 | 15 | 15 | 15 | 20 | 20 | 18 | 20 | 51 | 20 | 31 | 15 | 11 | 23 | 27 | 49 | 25 | 25 | 31 | 31 | 33 | 31 | 42 | 46 | 28 | 17 | 28 | 43 | 34 | 43 | 30 | 26 | 32 | 10 | 10 | 10 | 97 | 108 | 101 | 79 | 25 | 10 | 109 | 75 | 15 | 51 | 17 | 8 | 29 | 17 | 58 | 24 | 46 | 27 | 9 | 30 | 15 | 84 | 84 | 27 | 9 | 84 | 15 | 38 | 20 | 9 | 42 | 20 | 131 | 37 | 37 | 37 | 181 | 9 | 38 | 34 | 9 | 183 | 32 | 183 | 38 | 16 | 17 | 10 | 116 | 67 | 69 | 9 | 26 | 53 | 99 | 177 | 26 | 41 | 66 | 15 | 92 | 179 | 69 | 26 | 249 | 61 | 27 | 119 | 65 | 9 | 28 | 4 | 155 | 56 | 62 | 4 | 60 | 40 | 4 | 33 | 20 | 63 | 77 | 77 | 66 | 77 | 59 | 126 | 89 | 93 | 168 | 51 | 187 | 58 | 54 | 83 | 96 | 44 | 165 | 950 | 950 | 159 | 182 | 32 | 4 | 65 | 70 | 180 | 1106 | 108 | 180 | 133 | 182 | 169 | 93 | 38 | 58 | 93 | 123 | 1257 | 48 | 91 | 22 | 22 | 22 | 243 | 19 | 263 | 1149 | 181 | 101 | 1265 | 1252 | 1268 | 1165 | 1179 | 1179 | 1177 | 6 | 15 | 165 | 948 | 48 3 | 40 | 30 | 30 | 31 | 39 | 39 | 39 | 8 | 17 | 30 | 55 | 51 | 46 | 46 | 75 | 46 | 55 | 38 | 20 | 17 | 17 | 54 | 35 | 21 | 28 | 73 | 28 | 34 | 17 | 17 | 26 | 36 | 65 | 28 | 28 | 38 | 38 | 36 | 38 | 46 | 50 | 43 | 21 | 43 | 119 | 49 | 117 | 45 | 27 | 58 | 11 | 11 | 11 | 160 | 155 | 164 | 85 | 29 | 11 | 112 | 110 | 30 | 71 | 24 | 45 | 34 | 24 | 78 | 236 | 50 | 31 | 16 | 39 | 86 | 140 | 140 | 38 | 10 | 138 | 156 | 41 | 35 | 10 | 71 | 39 | 136 | 53 | 53 | 53 | 205 | 16 | 41 | 37 | 16 | 207 | 34 | 207 | 52 | 160 | 39 | 14 | 144 | 79 | 101 | 11 | 80 | 67 | 101 | 247 | 80 | 76 | 75 | 148 | 104 | 249 | 70 | 80 | 267 | 63 | 31 | 175 | 67 | 10 | 41 | 93 | 158 | 70 | 148 | 155 | 74 | 88 | 159 | 44 | 39 | 105 | 81 | 113 | 157 | 113 | 68 | 191 | 108 | 99 | 248 | 54 | 207 | 61 | 57 | 86 | 175 | 161 | 167 | 1108 | 1108 | 177 | 512 | 86 | 159 | 80 | 172 | 216 | 1115 | 183 | 510 | 162 | 512 | 1015 | 96 | 60 | 61 | 96 | 134 | 1273 | 266 | 94 | 1161 | 1163 | 1163 | 607 | 55 | 1106 | 1172 | 217 | 495 | 1271 | 1258 | 1274 | 1202 | 1216 | 1216 | 1214 | 1034 | 336 | 167 | 1048 | 267 4 | 62 | 44 | 31 | 34 | 42 | 42 | 42 | 10 | 20 | 44 | 57 | 78 | 47 | 47 | 77 | 47 | 57 | 41 | 80 | 84 | 53 | 67 | 78 | 24 | 30 | 90 | 30 | 43 | 84 | 20 | 48 | 39 | 69 | 29 | 29 | 41 | 41 | 47 | 41 | 55 | 120 | 102 | 24 | 55 | 122 | 51 | 120 | 47 | 36 | 72 | 12 | 12 | 12 | 167 | 212 | 171 | 114 | 33 | 12 | 133 | 166 | 86 | 75 | 35 | 48 | 60 | 105 | 82 | 239 | 59 | 42 | 21 | 44 | 158 | 149 | 149 | 81 | 11 | 147 | 157 | 62 | 74 | 11 | 77 | 88 | 137 | 55 | 56 | 55 | 270 | 21 | 52 | 48 | 21 | 272 | 49 | 272 | 94 | 199 | 45 | 22 | 159 | 114 | 104 | 12 | 109 | 79 | 164 | 327 | 111 | 115 | 115 | 215 | 107 | 267 | 112 | 111 | 329 | 76 | 42 | 295 | 83 | 11 | 52 | 152 | 170 | 130 | 159 | 197 | 134 | 138 | 200 | 81 | 78 | 156 | 111 | 167 | 247 | 167 | 279 | 218 | 128 | 111 | 306 | 56 | 294 | 63 | 59 | 166 | 178 | 163 | 1195 | 1112 | 1112 | 213 | 576 | 95 | 201 | 158 | 652 | 263 | 1131 | 249 | 942 | 225 | 944 | 1069 | 417 | 74 | 63 | 417 | 251 | 1296 | 1109 | 415 | 1184 | 1186 | 1186 | 691 | 102 | 1206 | 1181 | 264 | 863 | 1308 | 1295 | 1311 | 1213 | 1227 | 1227 | 1225 | 1053 | 366 5 | 79 | 66 | 37 | 37 | 45 | 45 | 45 | 13 | 23 | 66 | 82 | 83 | 49 | 49 | 86 | 49 | 82 | 45 | 114 | 126 | 80 | 68 | 79 | 30 | 78 | 97 | 78 | 46 | 126 | 29 | 50 | 42 | 83 | 32 | 52 | 44 | 44 | 89 | 44 | 116 | 123 | 111 | 92 | 119 | 143 | 64 | 141 | 60 | 42 | 97 | 13 | 13 | 13 | 172 | 221 | 175 | 170 | 56 | 13 | 181 | 224 | 158 | 84 | 103 | 72 | 71 | 236 | 91 | 251 | 120 | 59 | 29 | 74 | 159 | 177 | 177 | 101 | 12 | 175 | 195 | 74 | 99 | 12 | 134 | 103 | 173 | 56 | 82 | 56 | 297 | 29 | 56 | 58 | 29 | 299 | 51 | 299 | 125 | 230 | 55 | 52 | 162 | 170 | 115 | 13 | 112 | 122 | 171 | 385 | 114 | 119 | 124 | 281 | 137 | 329 | 117 | 114 | 459 | 154 | 105 | 307 | 158 | 12 | 62 | 185 | 210 | 171 | 165 | 266 | 174 | 205 | 269 | 110 | 103 | 330 | 165 | 176 | 313 | 176 | 299 | 222 | 258 | 144 | 378 | 63 | 339 | 70 | 66 | 407 | 283 | 1211 | 1214 | 1117 | 1117 | 260 | 944 | 176 | 270 | 229 | 1098 | 300 | 1175 | 333 | 973 | 238 | 966 | 1075 | 447 | 134 | 70 | 447 | 1094 | 1321 | 1209 | 445 | 1193 | 1195 | 1195 | 792 | 139 | 1262 | 1189 | 301 | 941 | 1321 | 1308 | 1324 | 1310 | 1324 | 1324 | 1322 | 1054 | 704 6 | 85 | 98 | 59 | 40 | 48 | 48 | 48 | 16 | 26 | 83 | 87 | 84 | 50 | 50 | 89 | 50 | 87 | 48 | 138 | 160 | 96 | 73 | 104 | 36 | 79 | 114 | 79 | 49 | 160 | 35 | 60 | 54 | 95 | 33 | 73 | 52 | 52 | 122 | 52 | 119 | 131 | 171 | 94 | 122 | 155 | 71 | 153 | 67 | 44 | 104 | 17 | 19 | 19 | 180 | 249 | 183 | 227 | 77 | 19 | 190 | 233 | 159 | 99 | 234 | 81 | 132 | 239 | 106 | 291 | 123 | 99 | 35 | 130 | 197 | 189 | 189 | 133 | 13 | 187 | 223 | 119 | 103 | 13 | 145 | 107 | 191 | 82 | 144 | 82 | 301 | 124 | 62 | 64 | 59 | 303 | 64 | 303 | 147 | 263 | 61 | 109 | 189 | 228 | 152 | 18 | 123 | 248 | 176 | 457 | 125 | 143 | 190 | 284 | 186 | 344 | 163 | 125 | 473 | 225 | 137 | 482 | 228 | 13 | 68 | 239 | 272 | 401 | 168 | 341 | 404 | 231 | 344 | 131 | 107 | 356 | 174 | 257 | 484 | 257 | 383 | 278 | 303 | 318 | 392 | 68 | 417 | 75 | 71 | 409 | 379 | 1212 | 1215 | 1133 | 1133 | 297 | 966 | 371 | 345 | 295 | 1104 | 579 | 1176 | 420 | 1023 | 270 | 975 | 1156 | 468 | 175 | 75 | 785 | 1198 | 1351 | 1265 | 1186 | 1201 | 1203 | 1203 | 913 | 418 | 1319 | 1258 | 580 | 953 | 1418 | 1405 | 1421 7 | 94 | 109 | 100 | 43 | 51 | 51 | 51 | 19 | 29 | 89 | 93 | 89 | 59 | 59 | 96 | 58 | 93 | 51 | 139 | 194 | 122 | 97 | 105 | 42 | 83 | 118 | 104 | 61 | 195 | 47 | 83 | 57 | 99 | 77 | 86 | 97 | 99 | 139 | 99 | 127 | 186 | 204 | 196 | 143 | 200 | 72 | 198 | 68 | 57 | 126 | 19 | 25 | 25 | 210 | 261 | 213 | 236 | 85 | 26 | 211 | 261 | 197 | 135 | 237 | 126 | 186 | 251 | 142 | 353 | 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| 270 | 264 | 88 | 50 | 256 | 273 | 225 | 141 | 249 | 132 | 242 | 291 | 148 | 357 | 187 | 137 | 170 | 167 | 240 | 264 | 264 | 195 | 19 | 262 | 241 | 140 | 113 | 19 | 227 | 117 | 229 | 184 | 237 | 186 | 399 | 207 | 73 | 82 | 170 | 384 | 72 | 384 | 234 | 380 | 78 | 201 | 213 | 265 | 269 | 35 | 189 | 588 | 214 | 478 | 191 | 279 | 268 | 343 | 209 | 480 | 282 | 191 | 492 | 320 | 199 | 596 | 323 | 19 | 86 | 329 | 294 | 765 | 285 | 491 | 768 | 414 | 494 | 450 | 117 | 444 | 450 | 554 | 689 | 494

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| 425 | 354 | 420 | 378 | 411 | 84 | 445 | 91 | 87 | 826 | 604 | 1297 | 1300 | 1178 | 1178 | 725 | 1025 | 473 | 495 | 387 | 1119 | 999 | 1215 | 519 | 1036 | 538 | 1038 | 1193 | 1188 | 769 | 91 | 1250 | 1306 | 1391 | 1368 | 1255 | 1315 | 1317 | 1317 | 1000 | 838 | 1414 | 1350 | 1000 9 | 108 | 115 | 106 | 49 | 57 | 57 | 57 | 25 | 35 | 109 | 102 | 98 | 62 | 62 | 105 | 62 | 102 | 56 | 173 | 234 | 191 | 107 | 117 | 57 | 105 | 135 | 117 | 79 | 235 | 56 | 122 | 72 | 124 | 97 | 102 | 150 | 152 | 155 | 152 | 216 | 239 | 228 | 266 | 200 | 221 | 80 | 219 | 93 | 70 | 135 | 73 | 93 | 88 | 287 | 336 | 290 | 276 | 90 | 62 | 274 | 282 | 240 | 143 | 289 | 147 | 281 | 353 | 150 | 365 | 220 | 162 | 209 | 179 | 243 | 309 | 309 | 198 | 45 | 307 | 268 | 185 | 168 | 41 | 337 | 172 | 278 | 235 | 411 | 237 | 433 | 211 | 86 | 90 | 209 | 435 | 76 | 435 | 342 | 394 | 87 | 256 | 236 | 277 | 271 | 128 | 210 | 746 | 271 | 490 | 212 | 308 | 280 | 349 | 224 | 492 | 337 | 212 | 606 | 383 | 202 | 793 | 386 | 45 | 94 | 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| 122 | 203 | 204 | 201 | 172 | 192 | 231 | 195 | 205 | 235 | 383 | 462 | 404 | 356 | 351 | 345 | 408 | 336 | 387 | 328 | 447 | 380 | 408 | 282 | 650 | 653 | 674 | 673 | 693 | 698 | 675 | 792 | 801 | 780 | 971 | 749 | 833 | 939 | 831 | 1023 | 1011 | 1110 | 884 | 1017 | 1022 | 1142 | 1136 | 1148 | 1061 | 654 | 1018 | 970 | 1092 | 969 | 696 | 1083 | 666 | 1278 | 1124 | 805 | 1155 | 796 | 1205 | 1199 | 1126 | 1135 | 1221 | 1221 | 1237 | 1237 | 1219 | 1133 | 752 | 1363 | 1348 | 1182 | 1410 | 1253 | 1278 | 1297 | 1315 | 1283 | 1281 | 1409 | 1406 | 1309 | 1285 | 940 | 1296 | 1362 | 1307 | 1441 | 1031 | 963 | 1062 39 | 205 | 214 | 223 | 141 | 145 | 145 | 146 | 115 | 125 | 206 | 207 | 204 | 190 | 195 | 233 | 201 | 208 | 238 | 386 | 470 | 410 | 391 | 366 | 354 | 412 | 340 | 390 | 334 | 463 | 386 | 410 | 288 | 668 | 659 | 680 | 691 | 708 | 704 | 693 | 798 | 864 | 786 | 974 | 816 | 845 | 1026 | 843 | 1031 | 1019 | 1113 | 897 | 1020 | 1028 | 1145 | 1191 | 1192 | 1095 | 660 | 1087 | 997 | 1104 | 987 | 713 | 1102 | 742 | 1281 | 1127 | 808 | 1169 | 802 | 1239 | 1202 | 1142 | 1193 | 1223 | 1223 | 1276 | 1261 | 1221 | 1191 | 764 | 1377 | 1351 | 1228 | 1415 | 1260 | 1295 | 1315 | 1343 | 1294 | 1307 | 1425 | 1422 | 1311 | 1296 | 1027 | 1305 | 1374 | 1313 | 1444 | 1037 | 987 40 | 208 | 217 | 226 | 144 | 148 | 148 | 149 | 118 | 128 | 209 | 210 | 207 | 193 | 201 | 240 | 204 | 211 | 244 | 390 | 477 | 434 | 392 | 387 | 357 | 418 | 346 | 410 | 352 | 471 | 398 | 435 | 291 | 695 | 677 | 728 | 706 | 714 | 728 | 708 | 861 | 881 | 849 | 1028 | 833 | 851 | 1034 | 849 | 1061 | 1049 | 1119 | 1019 | 1026 | 1031 | 1189 | 1219 | 1198 | 1107 | 678 | 1114 | 1003 | 1148 | 993 | 738 | 1122 | 750 | 1286 | 1141 | 832 | 1174 | 865 | 1240 | 1231 | 1143 | 1222 | 1224 | 1224 | 1300 | 1283 | 1222 | 1211 | 770 | 1403 | 1353 | 1266 | 1418 | 1269 | 1313 | 1343 | 1348 | 1303 | 1309 | 1441 | 1438 | 1321 | 1305 | 1035 | 1322 | 1435 | 1319 41 | 211 | 220 | 229 | 147 | 151 | 151 | 152 | 121 | 131 | 212 | 215 | 212 | 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BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator) 1139 | 771 | 1314 | 1169 | 864 | 1198 | 910 | 1303 | 1246 | 1200 | 1245 | 1273 | 1273 | 1305 | 1354 | 1271 | 1226 | 812 | 1412 | 1384 | 1301 | 1430 | 1282 | 1346 | 1353 | 1353 | 1332 | 1325 | 1457 | 1457 | 1333 | 1334 43 | 217 | 226 | 235 | 153 | 157 | 157 | 158 | 127 | 137 | 218 | 221 | 218 | 208 | 219 | 266 | 228 | 222 | 251 | 405 | 507 | 467 | 421 | 414 | 396 | 460 | 370 | 429 | 373 | 508 | 416 | 449 | 321 | 785 | 782 | 824 | 775 | 794 | 809 | 777 | 914 | 957 | 902 | 1057 | 881 | 923 | 1103 | 921 | 1149 | 1181 | 1140 | 1031 | 1126 | 1139 | 1235 | 1246 | 1246 | 1235 | 783 | 1136 | 1133 | 1249 | 1103 | 798 | 1153 | 807 | 1336 | 1174 | 874 | 1219 | 918 | 1308 | 1247 | 1209 | 1290 | 1287 | 1287 | 1331 | 1356 | 1285 | 1240 | 842 | 1415 | 1385 | 1329 | 1431 | 1291 | 1351 | 1359 | 1359 | 1357 | 1331 44 | 220 | 229 | 238 | 156 | 160 | 160 | 161 | 130 | 140 | 221 | 222 | 219 | 217 | 228 | 269 | 230 | 223 | 253 | 407 | 512 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| 1367 | 1301 | 921 | 1293 | 936 | 1414 | 1318 | 1008 | 1318 | 1066 | 1451 | 1333 52 | 244 | 253 | 262 | 180 | 184 | 184 | 185 | 154 | 164 | 245 | 255 | 252 | 256 | 261 | 317 | 263 | 256 | 287 | 435 | 587 | 569 | 527 | 518 | 474 | 547 | 444 | 530 | 442 | 589 | 512 | 543 | 423 | 965 | 992 | 1011 | 936 | 948 | 964 | 938 | 1080 | 1092 | 1068 | 1160 | 1153 | 1172 | 1231 | 1199 | 1257 | 1251 | 1323 | 1254 | 1258 | 1260 | 1359 | 1327 | 1362 | 1370 | 993 | 1286 | 1285 | 1381 | 1312 | 939 | 1304 | 939 | 1415 | 1337 | 1052 | 1337 53 | 247 | 256 | 265 | 183 | 187 | 187 | 188 | 157 | 167 | 248 | 261 | 258 | 259 | 263 | 318 | 275 | 262 | 290 | 437 | 588 | 573 | 529 | 521 | 486 | 559 | 448 | 549 | 460 | 595 | 521 | 545 | 426 | 977 | 1010 | 1017 | 946 | 978 | 968 | 948 | 1089 | 1104 | 1077 | 1161 | 1172 | 1201 | 1260 | 1207 | 1264 | 1260 | 1326 | 1259 | 1284 | 1286 | 1369 | 1354 | 1372 | 1384 | 1011 | 1299 | 1289 | 1382 | 1314 | 969 | 1316 | 940 | 1417 54 | 250 | 259 | 268 | 186 | 190 | 190 | 191 | 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518 | 519 | 532 | 536 | 606 | 552 | 519 | 584 | 828 | 954 | 951 | 983 | 1043 | 930 | 1060 | 855 | 1089 | 982 | 1017 | 1007 | 1005 109 | 415 | 421 | 430 | 342 | 355 | 355 | 356 | 325 | 332 | 416 | 522 | 525 | 546 | 548 | 608 | 558 | 523 | 586 | 830 | 989 | 1002 | 985 | 1050 | 957 | 1071 | 858 | 1119 | 988 | 1020 | 1010 110 | 418 | 424 | 433 | 345 | 358 | 358 | 359 | 328 | 335 | 419 | 528 | 531 | 549 | 551 | 611 | 560 | 529 | 595 | 833 | 1005 | 1016 | 988 | 1056 | 960 | 1075 | 870 | 1137 | 997 | 1032 | 1013 111 | 421 | 427 | 436 | 348 | 361 | 361 | 362 | 331 | 338 | 422 | 534 | 540 | 550 | 552 | 623 | 563 | 535 | 601 | 842 | 1016 | 1038 | 992 | 1062 | 969 | 1087 | 880 | 1160 | 1002 | 1042 | 1016 112 | 424 | 430 | 439 | 351 | 364 | 364 | 365 | 334 | 341 | 424 | 543 | 543 | 556 | 558 | 624 | 570 | 544 | 605 | 848 | 1019 | 1043 | 1001 | 1077 | 975 | 1117 | 885 | 1190 | 1003 | 1047 | 1019 113 | 427 | 433 | 442 | 354 | 367 | 367 | 368 | 337 | 344 | 425 | 546 | 545 | 558 | 560 | 630 | 582 | 547 | 607 | 851 | 1031 | 1046 | 1034 | 1089 | 978 | 1135 | 888 | 1206 | 1018 | 1050 | 1020 114 | 430 | 436 | 445 | 357 | 370 | 370 | 371 | 340 | 347 | 428 | 548 | 551 | 568 | 570 | 632 | 584 | 549 | 614 | 852 | 1041 | 1049 | 1037 | 1119 | 981 | 1158 | 891 | 1213 | 1021 | 1053 115 | 433 | 439 | 448 | 360 | 373 | 373 | 374 | 343 | 350 | 431 | 554 | 552 | 574 | 576 | 639 | 587 | 555 | 619 | 857 | 1046 | 1056 | 1046 | 1125 | 999 | 1188 | 898 | 1251 | 1024 | 1060 116 | 436 | 442 | 451 | 363 | 376 | 376 | 377 | 346 | 353 | 434 | 555 | 554 | 580 | 582 | 648 | 593 | 556 | 623 | 863 | 1049 | 1068 | 1052 | 1137 | 1005 | 1204 | 910 | 1255 | 1027 117 | 439 | 445 | 454 | 366 | 379 | 379 | 380 | 349 | 356 | 437 | 557 | 561 | 582 | 584 | 654 | 594 | 558 | 625 | 864 | 1052 | 1071 | 1063 | 1160 | 1014 | 1220 | 919 | 1261 118 | 442 | 448 | 457 | 369 | 382 | 382 | 383 | 352 | 359 | 440 | 564 | 563 | 591 | 587 | 656 | 602 | 565 | 632 | 885 | 1059 | 1079 | 1073 | 1190 | 1017 | 1249 | 921 | 1264 119 | 445 | 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1043 | 1350

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| 1338

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| 1460

145 | 520 | 526 | 532 | 447 | 463 | 463 | 464 | 433 | 440 | 518 | 689 | 687 | 744 | 746 | 834 | 764 | 690 | 779 | 1161 146 | 523 | 529 | 535 | 450 | 466 | 466 | 467 | 436 | 443 | 521 | 690 | 689 | 750 | 752 | 836 | 767 | 691 | 782 | 1172 147 | 526 | 532 | 538 | 453 | 469 | 469 | 470 | 439 | 446 | 524 | 692 | 692 | 753 | 755 | 839 | 770 | 693 | 787 | 1186

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894 | 893 | 954 | 965 | 1055 | 983 | 897 | 1022 192 | 661 | 667 | 670 | 588 | 601 | 601 | 602 | 572 | 581 | 659 | 896 | 894 | 961 | 968 | 1059 | 986 | 898 | 1024 193 | 664 | 670 | 673 | 591 | 604 | 604 | 605 | 574 | 584 | 662 | 897 | 896 | 963 | 971 | 1061 | 989 | 900 | 1027 194 | 667 | 673 | 676 | 594 | 607 | 607 | 608 | 577 | 587 | 665 | 899 | 911 | 966 | 981 | 1064 | 995 | 909 | 1033 195 | 670 | 676 | 679 | 597 | 610 | 610 | 611 | 580 | 590 | 668 | 908 | 915 | 969 | 983 | 1067 | 998 | 915 | 1039 196 | 673 | 679 | 682 | 600 | 613 | 613 | 614 | 583 | 593 | 671 | 914 | 920 | 979 | 989 | 1070 | 1001 | 919 | 1042 197 | 676 | 682 | 685 | 603 | 616 | 616 | 617 | 586 | 596 | 674 | 918 | 921 | 981 | 995 | 1073 | 1011 | 924 | 1045 198 | 679 | 685 | 688 | 606 | 619 | 619 | 620 | 589 | 599 | 677 | 923 | 923 | 987 | 998 | 1101 | 1016 | 925 | 1048 199 | 682 | 688 | 691 | 609 | 622 | 622 | 623 | 592 | 602 | 680 | 924 | 924 | 993 | 1001 | 1103 | 1020 | 927 | 1051 200 | 685 | 691 | 694 | 612 | 625 | 625 | 626 | 595 | 605 | 683 | 926 | 926 | 996 | 1011 | 1104 | 1032 | 928 | 1061 201 | 688 | 694 | 697 | 615 | 628 | 628 | 629 | 598 | 608 | 686 | 927 | 933 | 999 | 1016 | 1106 | 1044 | 930 | 1066 202 | 691 | 697 | 700 | 618 | 631 | 631 | 632 | 601 | 611 | 689 | 929 | 938 | 1009 | 1020 | 1107 | 1049 | 937 | 1067 203 | 694 | 700 | 703 | 621 | 634 | 634 | 635 | 604 | 614 | 692 | 936 | 942 | 1014 | 1032 | 1109 | 1052 | 942 | 1072 204 | 697 | 703 | 706 | 624 | 637 | 637 | 638 | 607 | 617 | 695 | 941 | 945 | 1018 | 1044 | 1115 | 1055 | 946 | 1078 205 | 700 | 706 | 709 | 627 | 639 | 640 | 641 | 608 | 620 | 698 | 945 | 947 | 1030 | 1049 | 1121 | 1058 | 949 | 1081 206 | 703 | 709 | 712 | 630 | 640 | 643 | 644 | 610 | 623 | 701 | 948 | 960 | 1042 | 1052 | 1124 | 1061 | 951 | 1082 207 | 706 | 712 | 715 | 633 | 643 | 646 | 647 | 613 | 626 | 704 | 950 | 969 | 1047 | 1055 | 1127 | 1071 | 964 | 1085 208 | 709 | 715 | 718 | 636 | 646 | 649 | 650 | 615 | 629 | 707 | 963 | 972 | 1050 | 1058 | 1143 | 1076 | 973 | 1088 209 | 712 | 718 | 721 | 639 | 649 | 652 | 651 | 616 | 632 | 710 | 972 | 974 | 1053 | 1061 | 1145 | 1082 | 976 | 1090 210 | 715 | 721 | 724 | 642 | 652 | 653 | 653 | 619 | 635 | 713 | 975 | 978 | 1056 | 1071 | 1148 | 1088 | 978 | 1091 211 | 718 | 724 | 727 | 645 | 653 | 655 | 656 | 622 | 638 | 716 | 977 | 983 | 1059 | 1076 | 1149 | 1091 | 982 | 1093 212 | 721 | 727 | 730 | 648 | 655 | 658 | 659 | 625 | 641 | 719 | 981 | 992 | 1069 | 1088 | 1151 | 1092 | 987 | 1138 213 | 724 | 730 | 733 | 651 | 658 | 661 | 662 | 628 | 644 | 722 | 986 | 993 | 1074 | 1091 | 1160 | 1094 | 996 | 1145 214 | 727 | 733 | 736 | 654 | 661 | 664 | 665 | 631 | 647 | 725 | 995 | 995 | 1086 | 1092 | 1163 | 1095 | 997 | 1157 215 | 730 | 736 | 739 | 657 | 664 | 667 | 668 | 634 | 650 | 728 | 996 | 998 | 1089 | 1094 | 1164 | 1097 | 999 | 1168 216 | 733 | 739 | 742 | 660 | 667 | 670 | 671 | 637 | 653 | 731 | 998 | 999 | 1090 | 1095 | 1166 | 1098 | 1002 | 1192 217 | 736 | 742 | 745 | 663 | 670 | 673 | 674 | 640 | 656 | 734 | 1001 | 1004 | 1092 | 1097 | 1167 | 1100 | 1003 | 1194 218 | 739 | 745 | 748 | 666 | 673 | 676 | 677 | 643 | 659 | 737 | 1002 | 1005 | 1093 | 1098 | 1169 | 1101 | 1008 | 1198 219 | 742 | 748 | 751 | 669 | 676 | 679 | 680 | 646 | 662 | 740 | 1007 | 1014 | 1095 | 1100 | 1170 | 1122 | 1009 | 1233 220 | 745 | 751 | 754 | 672 | 679 | 682 | 683 | 649 | 665 | 743 | 1008 | 1020 | 1096 | 1101 | 1173 | 1126 | 1018 | 1322 221 | 748 | 754 | 757 | 675 | 682 | 685 | 686 | 652 | 668 | 746 | 1017 | 1026 | 1098 | 1103 | 1175 | 1130 | 1024 | 1326 222 | 751 | 757 | 760 | 678 | 685 | 688 | 689 | 655 | 671 | 749 | 1023 | 1028 | 1099 | 1122 | 1188 | 1152 | 1030 | 1332 223 | 754 | 760 | 763 | 681 | 688 | 691 | 692 | 658 | 674 | 752 | 1029 | 1037 | 1101 | 1125 | 1193 | 1159 | 1041 224 | 757 | 763 | 766 | 684 | 691 | 694 | 695 | 661 | 677 | 755 | 1040 | 1040 | 1120 | 1126 | 1195 | 1171 | 1044

| 1348

225 | 760 | 766 | 769 | 687 | 694 | 697 | 698 | 664 | 680 | 758 | 1043 | 1041 | 1123 | 1130 | 1231 | 1182 | 1045 226 | 763 | 769 | 772 | 690 | 697 | 700 | 701 | 667 | 683 | 761 | 1044 | 1044 | 1128 | 1152 | 1238 | 1208 | 1048 227 | 766 | 772 | 775 | 693 | 700 | 703 | 704 | 670 | 686 | 764 | 1047 | 1047 | 1150 | 1159 | 1250 | 1212 | 1051 228 | 769 | 775 | 778 | 696 | 703 | 706 | 707 | 673 | 689 | 767 | 1050 | 1050 | 1157 | 1171 | 1261 | 1336 | 1054 229 | 772 | 778 | 781 | 699 | 706 | 709 | 710 | 676 | 692 | 770 | 1053 | 1052 | 1169 | 1182 | 1285 | 1340 | 1056 230 | 775 | 781 | 784 | 702 | 709 | 712 | 713 | 679 | 695 | 773 | 1055 | 1055 | 1180 | 1208 | 1291 | 1346 | 1059 231 | 778 | 784 | 787 | 705 | 712 | 715 | 716 | 682 | 698 | 776 | 1058 | 1067 | 1206 | 1212 | 1328 | 1362 232 | 781 | 787 | 790 | 708 | 715 | 718 | 719 | 685 | 701 | 779 | 1070 | 1070 | 1210 | 1336 | 1421 233 | 784 | 790 | 793 | 711 | 718 | 721 | 722 | 688 | 704 | 782 | 1073 | 1073 | 1334 | 1340 | 1427 234 | 787 | 793 | 796 | 714 | 721 | 724 | 725 | 691 | 707 | 785 | 1076 | 1076 | 1338 | 1346 | 1433 235 | 790 | 796 | 799 | 717 | 724 | 727 | 728 | 694 | 710 | 788 | 1079 | 1082 | 1344 | 1362 | 1443 236 | 793 | 799 | 802 | 720 | 727 | 730 | 731 | 697 | 713 | 791 | 1085 | 1085 237 | 796 | 802 | 805 | 723 | 730 | 733 | 734 | 700 | 716 | 794 | 1088 | 1088

| 1360

238 | 799 | 805 | 808 | 726 | 733 | 736 | 737 | 703 | 719 | 797 | 1091 | 1115 239 | 802 | 808 | 811 | 729 | 736 | 739 | 740 | 706 | 722 | 800 | 1118 | 1116 240 | 805 | 811 | 814 | 732 | 739 | 742 | 743 | 709 | 725 | 803 | 1119 | 1118 241 | 808 | 814 | 817 | 735 | 742 | 745 | 746 | 712 | 728 | 806 | 1121 | 1119 242 | 811 | 817 | 820 | 736 | 745 | 748 | 749 | 715 | 731 | 809 | 1122 | 1122 243 | 814 | 820 | 823 | 738 | 748 | 751 | 752 | 718 | 734 | 812 | 1125 | 1127 244 | 817 | 823 | 826 | 741 | 751 | 754 | 755 | 721 | 737 | 815 | 1130 | 1133 245 | 820 | 826 | 829 | 744 | 754 | 757 | 758 | 724 | 740 | 818 | 1136 | 1136 246 | 823 | 829 | 832 | 747 | 757 | 760 | 761 | 727 | 743 | 821 | 1139 | 1139 247 | 826 | 832 | 835 | 750 | 760 | 763 | 764 | 730 | 746 | 824 | 1142 | 1140 248 | 829 | 835 | 838 | 753 | 763 | 766 | 767 | 733 | 749 | 827 | 1143 | 1146 249 | 832 | 838 | 841 | 756 | 766 | 769 | 770 | 736 | 752 | 830 | 1149 | 1155 250 | 835 | 841 | 844 | 759 | 769 | 772 | 773 | 739 | 755 | 833 | 1158 | 1157 251 | 838 | 844 | 847 | 762 | 772 | 775 | 776 | 742 | 758 | 836 | 1160 | 1160 252 | 841 | 847 | 850 | 765 | 775 | 778 | 778 | 745 | 761 | 839 | 1163 | 1161 253 | 844 | 850 | 853 | 768 | 778 | 780 | 779 | 748 | 764 | 842 | 1164 | 1163 254 | 847 | 853 | 856 | 771 | 780 | 781 | 782 | 751 | 767 | 845 | 1166 | 1172 255 | 850 | 856 | 859 | 774 | 781 | 784 | 785 | 754 | 770 | 848 | 1175 | 1175 256 | 853 | 859 | 862 | 777 | 784 | 787 | 788 | 757 | 773 | 851 | 1178 | 1176 257 | 856 | 862 | 865 | 780 | 787 | 790 | 791 | 760 | 776 | 854 | 1179 | 1178 258 | 859 | 865 | 868 | 783 | 790 | 793 | 794 | 763 | 779 | 857 | 1181 | 1179 259 | 862 | 868 | 871 | 786 | 793 | 796 | 797 | 766 | 782 | 860 | 1182 | 1181 260 | 865 | 871 | 874 | 789 | 796 | 799 | 800 | 769 | 785 | 863 | 1184 | 1182 261 | 868 | 874 | 877 | 792 | 799 | 802 | 803 | 772 | 788 | 866 | 1185 | 1184 262 | 871 | 877 | 880 | 795 | 802 | 805 | 806 | 775 | 791 | 869 | 1187 | 1185 263 | 874 | 880 | 883 | 798 | 805 | 808 | 809 | 778 | 794 | 872 | 1188 | 1187 264 | 877 | 883 | 886 | 801 | 808 | 811 | 812 | 781 | 797 | 875 | 1190 | 1188 265 | 880 | 886 | 889 | 804 | 811 | 814 | 815 | 784 | 800 | 878 | 1191 | 1198 266 | 883 | 889 | 892 | 807 | 814 | 817 | 818 | 787 | 803 | 881 | 1201 | 1200 267 | 886 | 892 | 895 | 810 | 817 | 820 | 821 | 790 | 806 | 884 | 1203 | 1201 268 | 889 | 895 | 898 | 813 | 820 | 823 | 824 | 793 | 809 | 887 | 1204 | 1244 269 | 892 | 898 | 901 | 816 | 823 | 826 | 827 | 796 | 812 | 890 | 1247 | 1251 270 | 895 | 901 | 904 | 819 | 826 | 829 | 830 | 799 | 815 | 893 | 1254 | 1274 271 | 898 | 904 | 907 | 822 | 829 | 832 | 833 | 802 | 818 | 896 | 1277 | 1298 272 | 901 | 907 | 910 | 825 | 832 | 835 | 836 | 805 | 821 | 899 | 1301 | 1301 273 | 902 | 910 | 913 | 828 | 835 | 838 | 839 | 808 | 824 | 902 | 1304 | 1314 274 | 904 | 913 | 916 | 831 | 838 | 841 | 842 | 811 | 827 | 905 | 1317 | 1341 275 | 907 | 916 | 919 | 834 | 841 | 844 | 845 | 814 | 830 | 906 | 1344 | 1434 276 | 910 | 919 | 922 | 837 | 844 | 847 | 848 | 817 | 833 | 908 | 1437 | 1440 277 | 913 | 922 | 925 | 840 | 847 | 850 | 851 | 820 | 836 | 911 | 1443 | 1446 278 | 916 | 925 | 928 | 843 | 850 | 853 | 854 | 823 | 839 | 914 | 1449 | 1456 279 | 919 | 928 | 931 | 846 | 853 | 856 | 857 | 826 | 842 | 917 | 1459 280 | 922 | 931 | 934 | 849 | 856 | 859 | 860 | 829 | 845 | 920 281 | 925 | 934 | 937 | 852 | 859 | 862 | 863 | 832 | 848 | 923 282 | 928 | 937 | 939 | 855 | 862 | 865 | 866 | 835 | 851 | 926 283 | 931 | 940 | 940 | 858 | 865 | 868 | 869 | 838 | 854 | 929 284 | 934 | 943 | 943 | 861 | 868 | 871 | 872 | 841 | 857 | 932 285 | 937 | 946 | 946 | 864 | 871 | 874 | 875 | 844 | 860 | 935 286 | 940 | 949 | 949 | 867 | 874 | 877 | 878 | 847 | 863 | 938 287 | 943 | 952 | 952 | 870 | 877 | 880 | 881 | 850 | 866 | 941 288 | 946 | 955 | 955 | 873 | 880 | 883 | 884 | 853 | 869 | 944 289 | 949 | 958 | 958 | 876 | 883 | 886 | 887 | 856 | 872 | 947 290 | 952 | 961 | 961 | 879 | 886 | 889 | 890 | 859 | 875 | 950 291 | 955 | 964 | 964 | 882 | 889 | 892 | 893 | 862 | 878 | 953 292 | 958 | 967 | 967 | 885 | 892 | 895 | 896 | 865 | 881 | 956 293 | 961 | 970 | 970 | 888 | 895 | 898 | 899 | 868 | 884 | 959 294 | 964 | 973 | 973 | 891 | 898 | 901 | 902 | 871 | 887 | 962 295 | 967 | 976 | 976 | 894 | 901 | 904 | 905 | 874 | 890 | 965 296 | 970 | 979 | 979 | 897 | 904 | 907 | 908 | 877 | 893 | 968 297 | 973 | 982 | 982 | 899 | 907 | 910 | 911 | 880 | 896 | 971 298 | 976 | 985 | 985 | 900 | 910 | 913 | 914 | 883 | 899 | 974 299 | 979 | 988 | 988 | 903 | 913 | 916 | 917 | 886 | 902 | 977 300 | 982 | 991 | 991 | 906 | 916 | 919 | 920 | 889 | 905 | 980 301 | 985 | 994 | 994 | 909 | 919 | 922 | 923 | 892 | 908 | 983 302 | 988 | 997 | 997 | 912 | 922 | 925 | 926 | 895 | 911 | 986 303 | 991 | 1000 | 1000 | 915 | 925 | 928 | 929 | 898 | 914 | 989 304 | 994 | 1003 | 1003 | 918 | 928 | 931 | 932 | 901 | 917 | 992 305 | 997 | 1006 | 1006 | 921 | 931 | 934 | 935 | 904 | 920 | 995 306 | 1000 | 1009 | 1009 | 924 | 934 | 937 | 938 | 907 | 923 | 998 307 | 1003 | 1012 | 1012 | 927 | 937 | 940 | 941 | 910 | 926 | 1001

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

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308 | 1006 | 1015 | 1015 | 930 | 940 | 943 | 944 | 913 | 929 | 1004 309 | 1009 | 1018 | 1018 | 933 | 943 | 946 | 947 | 916 | 932 | 1007 310 | 1012 | 1021 | 1021 | 936 | 946 | 949 | 950 | 919 | 935 | 1010 311 | 1015 | 1024 | 1024 | 939 | 949 | 952 | 953 | 922 | 938 | 1013 312 | 1018 | 1027 | 1027 | 942 | 952 | 955 | 956 | 925 | 941 | 1016 313 | 1021 | 1030 | 1030 | 945 | 955 | 958 | 959 | 928 | 944 | 1019 314 | 1024 | 1033 | 1033 | 948 | 958 | 961 | 962 | 931 | 947 | 1022 315 | 1027 | 1036 | 1036 | 951 | 961 | 964 | 965 | 934 | 950 | 1025 316 | 1030 | 1039 | 1039 | 954 | 964 | 967 | 968 | 937 | 953 | 1028 317 | 1033 | 1042 | 1042 | 957 | 967 | 970 | 971 | 940 | 956 | 1031 318 | 1036 | 1045 | 1045 | 960 | 970 | 973 | 974 | 943 | 959 | 1034 319 | 1039 | 1048 | 1048 | 963 | 973 | 976 | 977 | 946 | 962 | 1037 320 | 1042 | 1051 | 1051 | 966 | 976 | 979 | 980 | 949 | 965 | 1040 321 | 1045 | 1054 | 1054 | 969 | 979 | 982 | 983 | 952 | 968 | 1043 322 | 1048 | 1057 | 1057 | 972 | 982 | 985 | 986 | 955 | 971 | 1046 323 | 1051 | 1060 | 1060 | 975 | 985 | 988 | 989 | 958 | 974 | 1049 324 | 1054 | 1063 | 1063 | 978 | 988 | 991 | 992 | 961 | 977 | 1052 325 | 1057 | 1066 | 1066 | 981 | 991 | 994 | 995 | 964 | 980 | 1055 326 | 1060 | 1069 | 1069 | 984 | 994 | 997 | 998 | 967 | 983 | 1058 327 | 1063 | 1072 | 1072 | 987 | 997 | 1000 | 1001 | 970 | 986 | 1061 328 | 1066 | 1075 | 1075 | 990 | 1000 | 1003 | 1004 | 973 | 989 | 1064 329 | 1069 | 1078 | 1078 | 993 | 1003 | 1006 | 1007 | 976 | 992 330 | 1072 | 1081 | 1081 | 996 | 1006 | 1009 | 1010 | 979 | 995

| 1067

331 | 1075 | 1084 | 1084 | 999 | 1009 | 1012 | 1013 | 982 | 998 332 | 1078 | 1087 | 1087 | 1002 | 1012 | 1015 | 1016 | 985 | 1001 333 | 1081 | 1090 | 1090 | 1005 | 1015 | 1018 | 1019 | 988 | 1004 334 | 1084 | 1093 | 1093 | 1008 | 1018 | 1021 | 1022 | 991 | 1007 335 | 1087 | 1096 | 1096 | 1011 | 1021 | 1024 | 1025 | 994 | 1010 336 | 1090 | 1099 | 1099 | 1014 | 1024 | 1027 | 1028 | 997 | 1013 337 | 1093 | 1102 | 1102 | 1017 | 1027 | 1030 | 1031 | 1000 | 1016 338 | 1096 | 1105 | 1105 | 1020 | 1030 | 1033 | 1034 | 1003 | 1019 339 | 1099 | 1108 | 1108 | 1023 | 1033 | 1036 | 1037 | 1006 | 1022 340 | 1102 | 1111 | 1111 | 1026 | 1036 | 1039 | 1040 | 1009 | 1025 341 | 1105 | 1114 | 1114 | 1029 | 1039 | 1042 | 1043 | 1012 | 1028 342 | 1108 | 1117 | 1117 | 1032 | 1042 | 1045 | 1046 | 1015 | 1032 343 | 1111 | 1120 | 1120 | 1035 | 1045 | 1048 | 1049 | 1018 | 1033 344 | 1114 | 1123 | 1123 | 1038 | 1048 | 1051 | 1052 | 1022 345 | 1117 | 1126 | 1126 | 1041 | 1051 | 1054 | 1055 | 1023

| 1051

346 | 1120 | 1129 | 1129 | 1044 | 1054 | 1057 | 1058 347 | 1123 | 1132 | 1132 | 1047 | 1057 | 1060 | 1061 348 | 1126 | 1135 | 1135 | 1050 | 1060 | 1063 | 1064 349 | 1129 | 1138 | 1138 | 1053 | 1063 | 1066 | 1067 350 | 1132 | 1141 | 1141 | 1056 | 1066 | 1069 | 1070 351 | 1135 | 1144 | 1144 | 1059 | 1069 | 1072 | 1073 352 | 1138 | 1147 | 1147 | 1062 | 1072 | 1075 | 1076 353 | 1141 | 1150 | 1150 | 1065 | 1075 | 1078 | 1079 354 | 1144 | 1153 | 1153 | 1068 | 1078 | 1081 | 1082 355 | 1147 | 1156 | 1156 | 1071 | 1081 | 1084 | 1085 356 | 1150 | 1159 | 1159 | 1074 | 1084 | 1087 | 1088 357 | 1153 | 1162 | 1162 | 1077 | 1087 | 1090 | 1091 358 | 1156 | 1165 | 1165 | 1080 | 1090 | 1093 | 1094 359 | 1159 | 1168 | 1168 | 1083 | 1093 | 1096 | 1097 360 | 1162 | 1171 | 1171 | 1086 | 1096 | 1099 | 1100 361 | 1165 | 1174 | 1174 | 1089 | 1099 | 1102 | 1103 362 | 1168 | 1177 | 1177 | 1092 | 1102 | 1105 | 1104 363 | 1171 | 1180 | 1178 | 1095 | 1105 | 1106 | 1105 364 | 1174 | 1183 | 1179 | 1096 | 1106 | 1107 | 1109 365 | 1177 | 1186 | 1183 | 1097 | 1107 | 1111 | 1112 366 | 1180 | 1189 | 1233 | 1102 | 1111 | 1114 | 1152 367 | 1183 | 1193 | 1255 | 1103 | 1114 | 1154 | 1174 368 | 1186 | 1194 | 1264 | 1140 | 1154 | 1176 | 1183 369 | 1190 | 1211 | 1279 | 1162 | 1176 | 1185 | 1198 370 | 1191 | 1212 | 1310 | 1171 | 1185 | 1200 | 1227 371 | 1208 | 1249 | 1316 | 1186 | 1200 | 1229 | 1232 372 | 1209 | 1271 | 1322 | 1215 | 1229 | 1235 | 1233 373 | 1246 | 1280 | 1325 | 1221 | 1234 | 1244 | 1242 374 | 1268 | 1295 | 1365 | 1270 | 1235 | 1284 | 1282 375 | 1277 | 1326 | 1375 | 1280 | 1244 | 1294 | 1292 376 | 1292 | 1331 | 1385 | 1290 | 1284 | 1304 | 1302 377 | 1323 | 1332 | 1397 | 1302 | 1294 | 1316 | 1314 378 | 1329 | 1338 | 1403 | 1308 | 1304 | 1325 | 1348 379 | 1335 | 1339 | 1406 | 1336 | 1316 | 1350 | 1349 380 | 1336 | 1341 | 1431 | 1337 | 1350 | 1351 381 | 1338 | 1381 | 1438 | 1343 | 1361 | 1361

| 1359

382 | 1378 | 1391 383 | 1388 | 1401

| 1442 | 1347

384 | 1398 | 1413 385 | 1410 | 1419 386 | 1416 | 1422 387 | 1419 | 1447 388 | 1444 | 1454 389 | 1451 | 1458 390 | 1455

÷ Pasul 2. Calcularea coeficienţilor de corelaţie de ranguri Spearman. Rezultatul e redat în

continuare: Pair Corr B1cH1c 1.000 B1wH1w 1.000 B1yH1y 1.000 C2cH2c 1.000 C2kH2k 1.000 C2wH2w 1.000 C2gH2g 0.993 C2nH2n 0.988 C2rH2r 0.978 C2eH2e 0.976 C2qH2q 0.970 C2yH2y 0.968 C2dH2d 0.952 C2lH2l 0.948 C2pH2p 0.938 C2fH2f 0.929 B2gR1g 0.877 C2iH2i 0.876 B1gR2g 0.875 C2aH2a 0.874 H2gR2g 0.871 D1gR2g 0.870 C2gR2g 0.868 B1gD1g 0.860 C2mH2m 0.857 C1gD1g 0.841 C2tH2t 0.837 B2gH1g 0.835 C2vH2v 0.833 B1gC1g 0.830 D1gH2g 0.823 B1gC2g 0.820 B1gH2g 0.820 C2gD1g 0.819 C2hH2h 0.818 C1gR2g 0.814 H1gR1g 0.806 C1gC2g 0.763 C1gH2g 0.763 C2sH2s 0.760 B1hH1h 0.666 B2yR1h 0.577 R1xR2g 0.476 R1gR2p 0.460 H2gR1x 0.440 C2gR1x 0.439 B1gR1x 0.433 D1gR1x 0.433 B1lH1l 0.425 B2gR2p 0.419 D2gR2x 0.417 D2gR1p 0.412 C1gR1x 0.410 C1hH1h 0.407 H1gR2p 0.407 B1iH1i 0.394 B1vH1v 0.347 B1tH1t 0.333 D1yH1c 0.315 B1dH1d 0.290 C2cD2y 0.278 D2yH2c 0.278 R1gR2e 0.276 C1lH1l 0.261 C2eR1g 0.261 D1iH1w 0.257 D1lH1l 0.253

H2eR1g 0.250 B2gR2e 0.249 D1eH1g 0.243 R1rR2g 0.236 C2eH1g 0.233 C2gD2p 0.232 D2pH2g 0.232 R1pR2x 0.232 D1eR1g 0.231 D2eR2g 0.230 D1aH1g 0.229 B1gD2p 0.228 D2gR2r 0.228 B1lC1l 0.225 D1gD2p 0.225 B2rR2g 0.224 H1gR2e 0.223 H1gH2e 0.222 C2yH1c 0.221 H1cH2y 0.221 C1gH1p 0.218 B2cC2c 0.217 B2cH2c 0.217 C1eR1g 0.215 D2rR1g 0.214 C1gH1r 0.212 D1rD2g 0.212 D2gR1e 0.212 D1aR1g 0.211 B2yH1t 0.206 D2mR1t 0.206 C1gD2p 0.205 C2gR1r 0.205 D1gH1r 0.205 D2gH1e 0.205 H2gR1r 0.205 B1fH1f 0.204 B2gH2p 0.204 B1qH1q 0.203 C1eH1g 0.203 B2pD2g 0.202 D1gR1r 0.202 B2gD1e 0.198 D1yR1q 0.198 H1wH2d 0.198 B1wC2w 0.197 B1wH2w 0.197 B2gC2p 0.197 D1gH1p 0.197 B1eR1g 0.196 B1nH1n 0.196 B2gR2l 0.196 B1gH1r 0.195 C1lD1l 0.195 C1pH1g 0.195 B1eH1g 0.194 B2nR2y 0.194 C2dH1w 0.194 D2rH1g 0.194 R1gR2l 0.194 B2eD2g 0.193 B1gR1r 0.192 H2pR1g 0.192 B2gC2e 0.191 C2pR1g 0.191 B1pC1p 0.190 B2dH1w 0.190 D2hH1e 0.190

B2gD2r 0.189 H1rR2g 0.189 B2gH2e 0.188 B2gD1a 0.186 B2gC1e 0.185 C2gD2e 0.184 D2eH2g 0.184 B2rD1g 0.183 B1pD2g 0.181 B2eC2k 0.181 B2eH2k 0.181 C1gR1r 0.181 H1rH2g 0.181 C2gH1r 0.180 C2rD2g 0.180 D2gH2r 0.180 D2pR2g 0.180 B1gB2r 0.179 B1gH1p 0.178 B1rD2g 0.178 B2gC1p 0.178 B2pR2g 0.178 B1gD2e 0.176 R1fR2t 0.176 B2iC1m 0.175 D2gH1p 0.174 D2gR2v 0.174 H2lR1g 0.174 B1pB2g 0.173 D1yD2f 0.172 B1eB2g 0.171 B2rC1g 0.171 B2rC2g 0.171 B2rH2g 0.171 D1gD2e 0.171 C2pD2g 0.169 H1gH2p 0.168 B1pR2x 0.166 B1hB2w 0.165 B2mC1c 0.165 B1rH1e 0.164 B1tR1f 0.164 C1rD2g 0.164 H1pH2g 0.164 B1lD1l 0.163 C1wD1w 0.163 C2gH1p 0.163 H1gH2l 0.163 C2pH1g 0.162 D2aH1g 0.162 D2gH2p 0.162 H1yH2f 0.162 H1gR2l 0.160 C1gD2e 0.159 D2cR1s 0.157 D2pR2p 0.157 B2gD1p 0.156 D1pD2g 0.156 D2kH1g 0.156 C2fH1y 0.155 D2lH1l 0.155 C1dR2t 0.154 D1wD2c 0.154 B1gB2p 0.153 B2mH1m 0.153 B2pD1g 0.153 C1wH1d 0.153 D1hH1c 0.153

D1hH1i 0.153 D2yH1c 0.153 B2pC2g 0.152 B2pH2g 0.152 C1pR1g 0.152 C2lH1g 0.152 D2vH1g 0.151 H2lR2p 0.151 D1cH1e 0.150 B2pR1a 0.149 C2hD1i 0.149 B1eH1e 0.148 H1fH2v 0.148 B1aH1g 0.147 B2pC1g 0.147 D1rH2p 0.147 D2gH1a 0.147 D2gH2a 0.147 C1gH1k 0.146 D1eR2p 0.146 D1pR1g 0.146 D2gR1l 0.145 B2fH1y 0.144 B2hR1l 0.144 B2lH1l 0.144 D1mH1y 0.144 H1pR2g 0.144 C1nH1c 0.143 C2lR1g 0.143 C2yR2q 0.143 D2vR1g 0.143 H2yR2q 0.143 R1hR2d 0.143 B1pR1g 0.142 B1vR2f 0.141 C1vC2w 0.141 C1vH2w 0.141 D2gR1f 0.141 R1eR2x 0.141 R1pR2r 0.141 B2gD2a 0.140 D1gR1a 0.140 B1pC2p 0.139 B1pH2p 0.139 B2lD2g 0.139 B2vR2g 0.139 H1mH2m 0.139 C1fR2s 0.138 D1dR2x 0.138 H2gR1a 0.138 C1lD2l 0.137 C2gR1a 0.137 D1gR1t 0.137 D1wH1r 0.137 D2gR2a 0.137 D2kR1g 0.137 B1mR1p 0.136 B1pH1g 0.136 B2dC2d 0.136 B2mH1c 0.136 C1gR1t 0.136 B1gB2a 0.135 B2gD2p 0.135 C2pD1r 0.135 H1hH2i 0.135 R1aR2g 0.135 B1dR1e 0.134 B1gR1a 0.134

B2aC1g 0.134 B2lR1p 0.134 B2yH2i 0.134 C1mR1l 0.134 D1dH1c 0.134 D2lR2g 0.134 D2nR2h 0.134 B1fC1l 0.133 B1iC1h 0.133 C1cR2x 0.133 B1hC1w 0.132 B1nR2s 0.132 C1aH1g 0.132 C1wD1y 0.132 C2rR1p 0.132 B1dR1y 0.131 B1qR1f 0.131 C1fH1f 0.131 C1fR1g 0.131 C1gR1a 0.131 D1iH2h 0.131 B1yB2w 0.130 B2fD1h 0.130 B2lC2l 0.130 B2yC2i 0.130 C2iH1h 0.130 B1cD2y 0.129 C1aR1g 0.129 C1pD1p 0.129 C1pD2g 0.129 C2qR2k 0.129 D1fR1g 0.129 D2fR1y 0.129 D2gH1f 0.129 D2gR1a 0.129 H2qR2k 0.129 H2rR1p 0.129 C1yH1n 0.128 C2gR1t 0.128 C2mH1m 0.128 H2gR1t 0.128 R1lR2r 0.128 B1lC2l 0.127 B2aH1p 0.127 B2lH2l 0.127 B2nH1m 0.127 C2aD2g 0.127 D1rH1f 0.127 D2gH2v 0.127 D2pH1r 0.127 R1tR2g 0.127 B1aB2g 0.126 B2cH1l 0.126 B2gD2v 0.126 C1qR2h 0.126 C2cH1l 0.126 C2sD1h 0.126 D1hH2s 0.126 D1mH1f 0.126 H1lH2c 0.126 B1eR2l 0.125 B1hC1f 0.125 B1lD2k 0.125 D2pR1g 0.125 B1lR2p 0.124 B2wC1y 0.124 B2wC2h 0.124 C1wC2h 0.124

C2fR1g 0.124 D2aR1g 0.124 B1gB2v 0.123 B1lH2l 0.123 B2aC2g 0.123 B2aH2g 0.123 B2gC1a 0.123 B2rR1i 0.123 D1kR1f 0.123 H1eR2x 0.123 H2fR1y 0.123 R1qR2g 0.123 B2aD1g 0.122 B2fC2f 0.122 C1kR2r 0.122 C2vD2v 0.122 D1rR2x 0.122 D1tD2g 0.122 H1kR2g 0.122 H2iR1f 0.122 B1aC2p 0.121 B1fH2l 0.121 B2nR1v 0.121 C1eR2a 0.121 D1fH1f 0.121 D2eR1x 0.121 D2iR1t 0.121 B1gR1t 0.120 B2cD2c 0.120 C1hD2t 0.120 C2cD2c 0.120 D1qR2r 0.120 D2cH2c 0.120 B1fH1g 0.119 B1gR1k 0.119 B1pD1p 0.119 B1wB2y 0.119 B2fH2f 0.119 B2sH1a 0.119 B2yC1w 0.119 B2yD1w 0.119 C1fH1g 0.119 C2gR1k 0.119 H2gR1k 0.119 B1mH1m 0.118 B2lR2x 0.118 B2tD2t 0.118 C2iR1f 0.118 D1fH1g 0.118 D1gH1a 0.118 D1lR1g 0.118 D1vR1v 0.118 D1yD2h 0.118 D2gR2t 0.118 D2qR1g 0.118 H1mR1i 0.118 B1pC1a 0.117 B2eR2x 0.117 B2tR1k 0.117 C2eR2p 0.117 C2fR1y 0.117 C2lH1l 0.117 H1lR1p 0.117 H1tR1h 0.117 B1yB2f 0.116 B2fC1t 0.116 B2kR2g 0.116 H2fR1g 0.116

B1aR1g 0.115 B1dR2t 0.115 B2aR2g 0.115 B2rR1x 0.115 C1eR2p 0.115 C1gH1a 0.115 C1hR2l 0.115 C2vH1f 0.115 C2yR2l 0.115 D1lD2l 0.115 D1mR2r 0.115 D1sH1f 0.115 H2yR2l 0.115 B1fR1g 0.114 B1gH1k 0.114 B2tH1h 0.114 B2tH2t 0.114 C2sD2s 0.114 D1gH1k 0.114 D1pH1g 0.114 D1yH2m 0.114 H1kH2g 0.114 H1kR1x 0.114 R1gR2f 0.114 B1fR1y 0.113 B1hC1h 0.113 B1lD2l 0.113 B1mH2f 0.113 B1rR1p 0.113 B1yD2k 0.113 B2kC1g 0.113 B2vC2g 0.113 B2vH2g 0.113 C1fR1y 0.113 C1lC2l 0.113 C2gH1k 0.113 D2fR1x 0.113 H1fR1y 0.113 H1gR2n 0.113 H2aR2a 0.113 B1iR2h 0.112 B2dH2d 0.112 C1gR1q 0.112 C1lR1g 0.112 C2lR2p 0.112 D1fD2q 0.112 H1iR2h 0.112 H1lH2l 0.112 B1aH2p 0.111 B1gH1a 0.111 B1pD1a 0.111 B1vR1g 0.111 B2gH2l 0.111 B2nR1p 0.111 B2tH1t 0.111 C1aD2g 0.111 C1aR2m 0.111 C1mH1m 0.111 C1nH2m 0.111 C1tH1i 0.111 C2nR2t 0.111 D1aR2e 0.111 D1aR2k 0.111 D1fR2a 0.111 D2tH1g 0.111 D2vH2v 0.111 H1hH2t 0.111 H2eR2p 0.111

H2nR2t 0.111 B1eR2p 0.110 B2wC2y 0.110 B2wH2h 0.110 B2yC2f 0.110 C1aR2p 0.110 C1lH2l 0.110 C1wH2h 0.110 C2yD2w 0.110 H1eR2q 0.110 R1fR2a 0.110 B1aD2g 0.109 B1fD1f 0.109 B1rH2v 0.109 C1pD1e 0.109 C2kR1p 0.109 H2kR1p 0.109 B1nD1r 0.108 B1nR2m 0.108 B2fR1y 0.108 B2hC2k 0.108 B2hH2k 0.108 B2hR1d 0.108 B2pH1n 0.108 B2vD1g 0.108 B2vR1q 0.108 C1gH1q 0.108 C2mD1y 0.108 D1eR2e 0.108 D1pR1p 0.108 D1pR2x 0.108 H1eR1p 0.108 H1pR1f 0.108 B2cR1s 0.107 B2eR1p 0.107 B2yH2f 0.107 C2cR1s 0.107 D1lH2l 0.107 H2cR1s 0.107 B1dH1n 0.106 B2rR1t 0.106 B2wH2y 0.106 C1lH1g 0.106 C1vH1h 0.106 C2pR2x 0.106 D1pR2v 0.106 D2wH2y 0.106 B2gR2n 0.105 B2lD1w 0.105 B2mC2c 0.105 B2mH2c 0.105 B2vC1g 0.105 C1nC2m 0.105 C2dD1y 0.105 C2vD2g 0.105 D1yD2k 0.105 H1vR2k 0.105 B1aR2n 0.104 B1kD1p 0.104 B1qB2n 0.104 B1tC1t 0.104 B2sR1x 0.104 B2tC1h 0.104 B2vD2f 0.104 C1cD1c 0.104 C1cD1d 0.104 C1iC2y 0.104 C1sC2h 0.104

D1fR1y 0.104 D1mR2i 0.104 D2tR1g 0.104 H1eH2v 0.104 H1tR1f 0.104 R1kR2g 0.104 B1pR1p 0.103 C2lR2e 0.103 D2dH1i 0.103 D2gR2q 0.103 H1hR2x 0.103 H1tH2g 0.103 R1gR2n 0.103 B1kC1r 0.102 B1nD2n 0.102 B2eR1l 0.102 C1dH1s 0.102 C1fD1f 0.102 C1tH1t 0.102 C1wD2m 0.102 C2aR1g 0.102 C2gH1t 0.102 D1iR2t 0.102 D2aR2g 0.102 B2gC2l 0.101 B2lC2m 0.101 C1aD1a 0.101 D1rH1e 0.101 D2qH2t 0.101 D2sH1g 0.101 H2iR1y 0.101 H2pR2x 0.101 B1lR1g 0.100 B1qR2i 0.100 B2aR1h 0.100 B2cD2h 0.100 B2qD1h 0.100 C1iH2y 0.100 C2eR2n 0.100 D1aR2m 0.100 D1gR1q 0.100 D2lR1m 0.100 B1sB2y 0.099 B2iR1x 0.099 B2mH2m 0.099 B2yC1h 0.099 C1vD2n 0.099 C2lD2l 0.099 C2rR2a 0.099 D1kH1l 0.099 D2aR1x 0.099 H1aH2g 0.099 R1lR2x 0.099 B1pR2a 0.098 B1vD1q 0.098 C1qR1h 0.098 C2gH1a 0.098 D1gH1t 0.098 D1sH1d 0.098 D2rR2l 0.098 D2vR2p 0.098 H1aR1p 0.098 H1qR1h 0.098 B2gR2f 0.097 B2mR1v 0.097 B2nD2c 0.097 B2tC2t 0.097 C1gH1t 0.097

C1pH1e 0.097 C2aD1p 0.097 C2dD2c 0.097 D1gH1q 0.097 D2cH2d 0.097 D2eH1m 0.097 D2hH1t 0.097 D2yH1t 0.097 H1tR1x 0.097 H2eR2n 0.097 H2rR2a 0.097 R1vR2m 0.097 B1fC1m 0.096 B1kH1a 0.096 B1kR2x 0.096 B1rR2x 0.096 B1yR2p 0.096 C1iD2w 0.096 C1pH2p 0.096 C1yR2q 0.096 C2tH1h 0.096 D1hR2q 0.096 D1iR2d 0.096 D1qD2g 0.096 D1tR2d 0.096 D2hH2i 0.096 D2lH2l 0.096 D2sH2s 0.096 D2sR1g 0.096 H1aR2g 0.096 H1eR1a 0.096 H1eR2s 0.096 H1yR2p 0.096 H2lR2e 0.096 B2eR2r 0.095 B2fC2y 0.095 B2fR2x 0.095 C1kD2g 0.095 C1mD1m 0.095 C1tH1d 0.095 C2lR1m 0.095 H1qH2h 0.095 B1fC2l 0.094 B1lC1m 0.094 B1qR1h 0.094 B2eR1a 0.094 B2lR1m 0.094 B2mC2m 0.094 B2rD2w 0.094 B2yR2x 0.094 C1kH1l 0.094 C1lR2p 0.094 C2vH1e 0.094 D1aH2a 0.094 D1hD2h 0.094 D1lR2p 0.094 D1rR1p 0.094 H1mR1n 0.094 H2mR1t 0.094 H2sR2x 0.094 B1aC1p 0.093 B1cD1w 0.093 B1fR2p 0.093 B2aD2g 0.093 B2sD2s 0.093 C1cD1w 0.093 C1fR2e 0.093 C1nR2n 0.093

C1sH1h 0.093 C1sH1y 0.093 C2mH1f 0.093 C2nR2s 0.093 C2sR1h 0.093 D1pH2a 0.093 H1pR1r 0.093 H2lR1m 0.093 H2nR2s 0.093 B1mC1h 0.092 B1qD2c 0.092 B1rR1e 0.092 B2aR1q 0.092 B2fH2y 0.092 B2vC2y 0.092 C1cH1c 0.092 C1iH1c 0.092 C2eD1a 0.092 C2rR2x 0.092 D1aR2p 0.092 D1cH1c 0.092 D1cH1i 0.092 H1fR2h 0.092 H1nR2h 0.092 H2vR1p 0.092 R1vR2i 0.092 B1kD2g 0.091 B1rR2q 0.091 B1rR2r 0.091 B1sH1s 0.091 B2eH1p 0.091 B2fR2q 0.091 B2wD2f 0.091 C1mR2v 0.091 C1pR2a 0.091 C1wC2f 0.091 C2aH1g 0.091 C2fD1w 0.091 C2iD2h 0.091 D1rR2h 0.091 D2hR1a 0.091 D2iR1q 0.091 H1lH2t 0.091 B1nC2y 0.090 B1wD1c 0.090 B2gC2a 0.090 B2kD1g 0.090 B2lC1l 0.090 B2pR1e 0.090 B2sD2e 0.090 B2tD1i 0.090 C1gD2l 0.090 C1sR2e 0.090 C1wD1c 0.090 C2rH1a 0.090 D1aH2e 0.090 D1kH1y 0.090 H1hR1p 0.090 H1kR1a 0.090 H2pR2e 0.090 H2rR2x 0.090 B1aD1a 0.089 B1mB2m 0.089 B1nR2h 0.089 B1tR2l 0.089 B1tR2m 0.089 B1wR2p 0.089 B1yC1q 0.089

B1yC2c 0.089 B1yH2c 0.089 B2cC1y 0.089 B2gC1f 0.089 C1pR1p 0.089 C1rR2r 0.089 C1wH2f 0.089 C1yC2c 0.089 C1yH2c 0.089 C2aR2a 0.089 C2hR1f 0.089 C2kD2g 0.089 C2yR1e 0.089 D1wH2f 0.089 D2eH1d 0.089 D2gH2k 0.089 D2mH1m 0.089 H1wR2p 0.089 H2aR1g 0.089 H2yR1e 0.089 R1eR2t 0.089 R1gR2a 0.089 B1aB2e 0.088 B1fB2g 0.088 B1gB2k 0.088 B1lB2t 0.088 B1mD1d 0.088 B1tD1y 0.088 B2cR2r 0.088 B2dR2g 0.088 C1aH1w 0.088 C1pR2p 0.088 C1wR1x 0.088 C2cR2r 0.088 D1kD2g 0.088 D1wR1x 0.088 D2hH2m 0.088 D2kH1y 0.088 H1aH2r 0.088 H1pR2x 0.088 H2cR2r 0.088 R1pR2q 0.088 B1aC2s 0.087 B1aR2p 0.087 B1gR1q 0.087 B1nH2y 0.087 B1sR2v 0.087 B1yD1m 0.087 B2cD2y 0.087 B2gD2k 0.087 B2lD1l 0.087 B2vH2y 0.087 C1aR2a 0.087 C1hD2s 0.087 C2aD1a 0.087 C2mR1e 0.087 D1mD2v 0.087 D2fR1d 0.087 D2rR2e 0.087 H1qH2g 0.087 H1tR2g 0.087 H2aR2k 0.087 H2mR1v 0.087 R1xR2y 0.087 B1iH2n 0.086 B2gD1f 0.086 B2gR2a 0.086 B2qR2m 0.086

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Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi

93(112)

B2vH1a 0.086 C1pR2e 0.086 C1pR2r 0.086 C1qH1e 0.086 C1rD1r 0.086 C2gH1q 0.086 C2iR2t 0.086 C2lD1l 0.086 C2sR2d 0.086 C2tD2q 0.086 C2tR1q 0.086 D1pH2v 0.086 D2fR2g 0.086 H1fR2s 0.086 B1fR1m 0.085 B1nD2m 0.085 B2mC1m 0.085 C1cR1p 0.085 C1dD1t 0.085 C1fR1m 0.085 C1pC2a 0.085 C2gD2a 0.085 C2mR1t 0.085 D1gR1k 0.085 D2aH2g 0.085 D2qH1g 0.085 H1fR1m 0.085 H1qR2g 0.085 H2iR2a 0.085 H2iR2h 0.085 R1mR2f 0.085 R1pR2v 0.085 B1cD2c 0.084 B1eR2f 0.084 B1fC2f 0.084 B1gH1q 0.084 B1hD2m 0.084 B1iC2n 0.084 B1lB2l 0.084 B1mH2m 0.084 B1nD2w 0.084 B1qD1q 0.084 B1tC2h 0.084 B2aR1s 0.084 B2mH1t 0.084 B2pR1x 0.084 B2tD1t 0.084 C1iC2f 0.084 C1sR2q 0.084 C1yH1l 0.084 C2dD1t 0.084 C2kR2v 0.084 C2sD1p 0.084 D1lR2m 0.084 D1tH2d 0.084 D1tR2x 0.084 D2yH1l 0.084 H2kR2v 0.084 B1kC2t 0.083 B1sC2v 0.083 B2tR1d 0.083 C1dH1y 0.083 C1gR1k 0.083 C1yD2h 0.083 C2mD2h 0.083 D1eR2h 0.083 D1vH1v 0.083 B1fD1w 0.082 B1mC2r 0.082 B1mR2x 0.082 B1qD2g 0.082 C1pR2v 0.082 C1rH1m 0.082 C2aR2p 0.082 C2fD2d 0.082 D1mH1m 0.082 D1tH1d 0.082 D2dH2f 0.082 D2fH1p 0.082 D2lH2g 0.082 D2nH1n 0.082 D2pR2e 0.082 H2dR1y 0.082 B1eR2q 0.081 B1fH2f 0.081 B2lD2l 0.081 C1fC2e 0.081 C1pR2f 0.081 D1nR1g 0.081 D1pR2r 0.081 D2mH2s 0.081 H2fR2a 0.081 H2tR1v 0.081 B1cB2l 0.080 B1hC2e 0.080 B1lC2f 0.080 B1sC1y 0.080 B1tH1e 0.080 B1yC1s 0.080 B2eR2v 0.080 B2kC2c 0.080 B2kH2c 0.080 B2pH1e 0.080 B2rH1d 0.080 C1eC2v 0.080 C1eD2t 0.080 C1fH2e 0.080 C1kR2d 0.080 C1mH2m 0.080 C2dR1y 0.080 D1kR1n 0.080 H2pR2p 0.080 B1aR1l 0.079 B1gD2a 0.079 B1hD2s 0.079 B1hH2e 0.079 B1mC2m 0.079 B1nC1y 0.079 B1pH1f 0.079 B1rD2y 0.079 B1sC1i 0.079 B1tD2y 0.079 B2aR1m 0.079 B2hR2n 0.079 B2rR1a 0.079 C1mH1f 0.079 C2eD1n 0.079 C2iR2h 0.079 C2mR1v 0.079 C2vD1p 0.079 D1fR1m 0.079 D1gD2m 0.079 D2sH1h 0.079 H2mR1l 0.079 H2mR2k 0.079 H2mR2n 0.079 H2pR2h 0.079 B1cB2m 0.078 B1qC1r 0.078 B1sB2c 0.078 B2aC1r 0.078 B2cC2y 0.078 B2dR1y 0.078 B2fH1e 0.078 B2kD2i 0.078 B2kD2l 0.078 C1aC2e 0.078 C1eD1a 0.078 C1mR2e 0.078 C1qR2x 0.078 C1vR1y 0.078 C2pR2h 0.078 C2vR1n 0.078 C2yD1h 0.078 D1gD2a 0.078 D1lD2i 0.078 D1nH2e 0.078 D2lR1x 0.078 H1eR2r 0.078 H2hR1f 0.078

H2vR2n 0.078 B1gD2m 0.077 B1kH2t 0.077 B1lH2f 0.077 B1wD1e 0.077 B2dR1r 0.077 C1aH2e 0.077 C1aR2l 0.077 C1pC2p 0.077 C1rD2y 0.077 C1vC2n 0.077 C1vR1r 0.077 C2gD2m 0.077 C2gR1q 0.077 C2kR2f 0.077 C2pR2i 0.077 C2pR2p 0.077 D2mH2g 0.077 H1kR1n 0.077 H2dR2i 0.077 H2gR1q 0.077 H2kR2f 0.077 H2tR2i 0.077 B1cC1h 0.076 B1eC2a 0.076 B1eD2a 0.076 B1hC1y 0.076 B1qC1n 0.076 B1qH1f 0.076 B1qR2s 0.076 B1tR2k 0.076 B1yB2y 0.076 B1yD1y 0.076 B2kH1f 0.076 B2pH1r 0.076 B2sR1s 0.076 B2vR1a 0.076 C1hD1d 0.076 C1iD1v 0.076 C1mC2m 0.076 C1qD2g 0.076 C1yR1d 0.076 C2aR2i 0.076 C2kD1s 0.076 C2pR2e 0.076 D1gD2l 0.076 D1sH2k 0.076 D2dR2g 0.076 D2hR2g 0.076 D2nH1g 0.076 D2vR2m 0.076 D2yR1d 0.076 H1cH2p 0.076 H1tR2t 0.076 R1lR2h 0.076 B1aD1p 0.075 B1dC1t 0.075 B1mB2h 0.075 B1mC2h 0.075 B1rH1r 0.075 B2aH1q 0.075 B2cH2y 0.075 B2fD2g 0.075 B2mD1c 0.075 B2mH1v 0.075 B2sR1f 0.075 B2wD1i 0.075 C1iD1q 0.075 C1rR2v 0.075 C1yH2n 0.075 C2fR2a 0.075 C2iR2a 0.075 C2mD1t 0.075 D1hH2y 0.075 D1tR1a 0.075 D2aR2l 0.075 D2gH2q 0.075 H2aR2p 0.075 B1cR2f 0.074 B1tH2a 0.074 B1vD1v 0.074 B1yC1d 0.074 B2eC1q 0.074 B2qD2y 0.074 B2wD2i 0.074 C1aC2p 0.074 C1dR1n 0.074 C1fD2r 0.074 C1hC2f 0.074 C1lR2m 0.074 C1yC2n 0.074 C2dR2i 0.074 C2eD2c 0.074 C2gD2l 0.074 C2lD1e 0.074 C2qR2h 0.074 C2tH1l 0.074 D1pH2s 0.074 D2nR1g 0.074 H1cR2f 0.074 H1eH2d 0.074 H2qR2h 0.074 B1cD1y 0.073 B1hR2e 0.073 B1kR2a 0.073 B1sH2m 0.073 B2qD1g 0.073 B2tR2g 0.073 C1mD1l 0.073 C1tR2a 0.073 C2pD1a 0.073 D2cH2e 0.073 D2dR1y 0.073 D2tR2p 0.073 H1lR2m 0.073 H1nR1d 0.073 H2dR2p 0.073 R1sR2g 0.073 B1cD1d 0.072 B1fR2l 0.072 B1iC1v 0.072 B1kH1k 0.072 B1mB2y 0.072 B1nC2e 0.072 B1rH1h 0.072 B1tH2h 0.072 B2mD2m 0.072 C1aR1f 0.072 C1eH2v 0.072 C1hH2f 0.072 C2fR2p 0.072 C2hD2n 0.072 C2kH1l 0.072 C2mR1l 0.072 C2mR2k 0.072 C2mR2n 0.072 C2qH2h 0.072 D1fD2f 0.072 D1iR2l 0.072 D1pH2i 0.072 D1pR2a 0.072 D2vR2l 0.072 H1aR1v 0.072 H1iR2e 0.072 H1lH2k 0.072 B1iH2s 0.071 B1lH1g 0.071 B1lR2m 0.071 B1nH2e 0.071 B1rC1p 0.071 B1sR2e 0.071 B1wH2i 0.071 B2aH1r 0.071 B2cD2s 0.071 B2fH1c 0.071 B2gH2a 0.071 B2lH1s 0.071 B2qC2g 0.071 B2qH2g 0.071 B2vD2h 0.071

C1aH2a 0.071 C1aH2p 0.071 C1iC2s 0.071 C1rR2i 0.071 C2aR2m 0.071 C2dH1e 0.071 C2eD2r 0.071 D1aR2a 0.071 D1eD2r 0.071 D1eH2l 0.071 D1fH2t 0.071 D1kH1n 0.071 D1pR2p 0.071 D2iH1i 0.071 D2mH1k 0.071 H1vR1v 0.071 H2vR1n 0.071 B1cC1n 0.070 B1eC1v 0.070 B1eH2e 0.070 B1eR2e 0.070 B1fD1e 0.070 B1gH1t 0.070 B1hD1c 0.070 B1iD2e 0.070 B1kH2q 0.070 B1nR1g 0.070 B1sR1t 0.070 B2fC1q 0.070 B2nR2i 0.070 B2pH1a 0.070 C1aC2a 0.070 C1dH2p 0.070 C1kD1h 0.070 C1lH2t 0.070 C1rR1e 0.070 C1tD2g 0.070 C2vH1n 0.070 C2vR2s 0.070 D1aR2n 0.070 D1rH1h 0.070 D1sR2f 0.070 D1sR2s 0.070 D1tR1y 0.070 D2fH1f 0.070 D2hR1r 0.070 D2nR1d 0.070 D2rH2e 0.070 H1pR1q 0.070 H1rR1a 0.070 B1aR2r 0.069 B1pR2v 0.069 B1qD2q 0.069 B2hR1p 0.069 B2iD2w 0.069 B2mR2g 0.069 B2nC1m 0.069 C1dD1y 0.069 C1rC2a 0.069 C2dR2p 0.069 C2iR1e 0.069 C2pR1e 0.069 D1eH2p 0.069 D1lH1g 0.069 H1fR2a 0.069 H1gH2s 0.069 H1mR1a 0.069 B1cD1h 0.068 B1cR1r 0.068 B1dC2n 0.068 B1fC1f 0.068 B1gD2f 0.068 B1hR1e 0.068 B1kR2s 0.068 B1pD2v 0.068 B1qR2m 0.068 B1sC2m 0.068 B1sR2p 0.068 B1wC2i 0.068 B2dH1e 0.068 B2tC1l 0.068 B2wD1v 0.068 C1aD1p 0.068 C1dC2p 0.068 C1eH1v 0.068 C1eH1y 0.068 C1lC2d 0.068 C1pD2v 0.068 C1tD1t 0.068 C1yD1i 0.068 C2cD2f 0.068 C2sR1p 0.068 C2tD1v 0.068 D1vR2i 0.068 D2fH2c 0.068 D2fH2g 0.068 D2mH2m 0.068 H1cR1r 0.068 H1gR2a 0.068 H1hR1e 0.068 H1iR1t 0.068 H1lR1d 0.068 H2aR2m 0.068 B1aC1a 0.067 B1dD2i 0.067 B1tR2x 0.067 B1vD1s 0.067 B1wB2i 0.067 B2gD2q 0.067 B2gR2s 0.067 C1dH2m 0.067 C1pD1a 0.067 C1rH2r 0.067 C1tR1l 0.067 C1vD1s 0.067 C1yD1l 0.067 C2aR2l 0.067 C2eD2k 0.067 C2qD2g 0.067 C2vH1v 0.067 D1eD2a 0.067 D1kH2q 0.067 D1pR1h 0.067 H1dR2v 0.067 H1eR1v 0.067 H1pR1t 0.067 H1qR1x 0.067 R1gR2h 0.067 B1dC2d 0.066 B1dH2d 0.066 B1dR2r 0.066 B1eC1h 0.066 B1iC1t 0.066 B1kC2q 0.066 B1lB2g 0.066 B1lR1d 0.066 B1pC1k 0.066 B1pD1r 0.066 B1sD1k 0.066 B2dD1d 0.066 B2eC2t 0.066 B2lC1r 0.066 B2qR2g 0.066 B2tR2d 0.066 B2vH1p 0.066 C1eC2l 0.066 C1eD1e 0.066 C1fD2c 0.066 C1fR2p 0.066 C1kH2p 0.066 C2lR2f 0.066 C2rR1h 0.066 C2tR1v 0.066 D1qR1p 0.066 D2gH1l 0.066 D2kH2e 0.066 D2qR2p 0.066 D2rR2s 0.066 H1dR1e 0.066 H1fH2f 0.066

H1fR1n 0.066 H1gH2a 0.066 H1pR1x 0.066 B1dR2f 0.065 B1iB2c 0.065 B1qH2p 0.065 B1vC2v 0.065 B1yC2k 0.065 B1yH2k 0.065 B2cC1i 0.065 B2eR1n 0.065 B2hC1c 0.065 B2iH2q 0.065 B2kC1y 0.065 B2lH2m 0.065 B2mD2s 0.065 B2qH1t 0.065 B2yC1q 0.065 B2yD2d 0.065 C1cD2t 0.065 C1hD2i 0.065 C1iC2c 0.065 C1iH2c 0.065 C1qD1r 0.065 C1rC2r 0.065 C1yC2y 0.065 C2mH2v 0.065 C2rH1y 0.065 D1cR2r 0.065 D1dR1p 0.065 D1kR2m 0.065 D1qH1e 0.065 D1sH1l 0.065 D2mR2f 0.065 D2pR2y 0.065 D2rH1y 0.065 H1dR1a 0.065 H1gR2i 0.065 H1iH2i 0.065 H1nR2v 0.065 H1yH2r 0.065 H2fR2f 0.065 H2hR2k 0.065 H2rR1h 0.065 R1gR2s 0.065 R1mR2n 0.065 B1aH2r 0.064 B1mD2m 0.064 B1pR2r 0.064 B1rC2k 0.064 B1rC2v 0.064 B1rH2k 0.064 B1tR1i 0.064 B1vR2k 0.064 B1yD2e 0.064 B2eD1r 0.064 B2eR2a 0.064 B2kR1x 0.064 B2nC2d 0.064 B2nH2d 0.064 B2vR2m 0.064 C1dH1f 0.064 C1kC2p 0.064 C1nD1v 0.064 C1qH1s 0.064 C1rR1l 0.064 C1tR2q 0.064 C2eR2l 0.064 C2mD2m 0.064 C2nR2h 0.064 C2vR2m 0.064 D1qH2y 0.064 D1qR2x 0.064 D1tR1v 0.064 D1wD2q 0.064 D2qR2h 0.064 H1dR2g 0.064 H1pR1a 0.064 H1qR1k 0.064 H1tR1i 0.064 H2nR2h 0.064 B1aC1n 0.063 B1lD1v 0.063 B1mC1m 0.063 B1mH2y 0.063 B1nH1k 0.063 B1nR1n 0.063 B1pD1e 0.063 B1pR2e 0.063 B1qC2p 0.063 B1vC2r 0.063 B1vH2r 0.063 B2aR1x 0.063 B2iH1c 0.063 B2kH1a 0.063 B2lR2f 0.063 B2nH1a 0.063 B2pR2x 0.063 B2qH2q 0.063 C1cH1e 0.063 C1eH2l 0.063 C1fD1t 0.063 C1kR2x 0.063 C1nR2x 0.063 C1rH2a 0.063 C1rR2x 0.063 C1yH2y 0.063 C2hH2y 0.063 C2iH1c 0.063 C2iH1i 0.063 C2qD1k 0.063 C2rH1i 0.063 C2vD1m 0.063 D1dH1e 0.063 D1dH2i 0.063 D1iH1k 0.063 D1iR1n 0.063 D1rR2n 0.063 D2kR1y 0.063 D2pH1w 0.063 H1nH2v 0.063 H2aR1l 0.063 H2sR2l 0.063 B1kD2q 0.062 B1pR2s 0.062 B1sC2t 0.062 B1tC2a 0.062 B2gD2s 0.062 B2iC2q 0.062 B2kR1k 0.062 B2qR1i 0.062 B2vR1t 0.062 B2yC2k 0.062 B2yH2k 0.062 C1aH2q 0.062 C1dC2m 0.062 C1dD2h 0.062 C1gD2m 0.062 C1kC2s 0.062 C1mH2h 0.062 C1pH2a 0.062 C1qR2i 0.062 C1sD1a 0.062 C2fH1f 0.062 C2fR2f 0.062 C2tH2s 0.062 D1lR1i 0.062 D1lR1m 0.062 D1nD2f 0.062 D2mR2e 0.062 D2nR2n 0.062 D2pH1g 0.062 D2vR2k 0.062 H1aR1r 0.062 H1aR2t 0.062 H1iH2r 0.062 H2lR2f 0.062 R1dR2g 0.062 B1gB2q 0.061 B1mR2q 0.061

B1nB2k 0.061 B1nC2v 0.061 B1vC1l 0.061 B2dC1c 0.061 B2dC2y 0.061 B2kC2g 0.061 B2kH2g 0.061 B2lH2r 0.061 B2qC1g 0.061 B2sC1a 0.061 B2sD1g 0.061 B2wC1l 0.061 C1cD1v 0.061 C1mC2k 0.061 C1mH2k 0.061 C1mR1p 0.061 C1sD1s 0.061 C1sR1g 0.061 C1tC2t 0.061 C1vR2d 0.061 C1vR2q 0.061 C2eD2s 0.061 C2nR2d 0.061 C2wD2t 0.061 D1lD2t 0.061 D1mR1s 0.061 D1mR2v 0.061 D1qR1s 0.061 D1tR1e 0.061 D1wD2t 0.061 D2gH1s 0.061 D2gR2d 0.061 D2tH2w 0.061 H1gH2i 0.061 H1kR1t 0.061 H2aR2r 0.061 H2eR2l 0.061 H2nR2d 0.061 H2pR1e 0.061 H2pR2i 0.061 H2vR2s 0.061 R1iR2q 0.061 B1aR2k 0.060 B1gH1m 0.060 B1tD2g 0.060 B1wH2n 0.060 B2aR2q 0.060 B2fC2c 0.060 B2fH2c 0.060 B2gH2h 0.060 B2hH1p 0.060 B2lC2r 0.060 B2pH1d 0.060 B2qC2q 0.060 B2qH1m 0.060 B2sR2g 0.060 B2wH2n 0.060 C1dR1y 0.060 C1eR2n 0.060 C1gH1m 0.060 C1iR2p 0.060 C1lR2k 0.060 C1mD2m 0.060 C1mR2k 0.060 C1nD2a 0.060 C1nR1n 0.060 C1rR1n 0.060 C2hR2s 0.060 C2iD1d 0.060 C2lR2m 0.060 C2tD1f 0.060 C2tD1k 0.060 D1gH1m 0.060 D1qH2q 0.060 D1qH2r 0.060 D1qR2a 0.060 D1rD2i 0.060 D2lR2m 0.060 D2nH2h 0.060 H1pR2y 0.060 H2mR2x 0.060 B1aR1s 0.059 B1eH2a 0.059 B1fR2f 0.059 B1iD1t 0.059 B1rR2a 0.059 B1sR1g 0.059 B1wC2d 0.059 B1wC2n 0.059 B1wD1i 0.059 B1wH2d 0.059 B1wH2t 0.059 B2gD1l 0.059 B2gR2i 0.059 B2iD1s 0.059 B2iR2x 0.059 B2nD2w 0.059 B2tD2i 0.059 B2wC2n 0.059 C1fC2l 0.059 C1fD1k 0.059 C1fR2f 0.059 C1hR2x 0.059 C1lR2h 0.059 C1rD1q 0.059 C1wH2t 0.059 C2dD2w 0.059 C2fD1l 0.059 C2pD2t 0.059 C2rD1q 0.059 C2sD1q 0.059 C2yD1t 0.059 D1dR1y 0.059 D1iD2d 0.059 D1qR2h 0.059 D1wH2t 0.059 D2gR2k 0.059 D2wH2d 0.059 D2wH2t 0.059 H1dR1y 0.059 H1fR2f 0.059 R1hR2x 0.059 B1aD2t 0.058 B1dC2p 0.058 B1eC1e 0.058 B1eD1c 0.058 B1pR2n 0.058 B1rD1p 0.058 B1sC1q 0.058 B1wB2d 0.058 B2dC2w 0.058 B2dD1w 0.058 B2dH2w 0.058 B2dH2y 0.058 B2fD1s 0.058 B2iD2f 0.058 B2kD2y 0.058 B2lR2m 0.058 B2mD1m 0.058 B2nC1w 0.058 B2qD2e 0.058 B2rH1q 0.058 C1cD2d 0.058 C1pC2k 0.058 C1pH2k 0.058 C1pR2n 0.058 C1qC2y 0.058 C1rD1h 0.058 C1tD1s 0.058 C1tR1p 0.058 C1wD2n 0.058 C2aD1e 0.058 C2dD1c 0.058 C2dR1m 0.058 C2lR1y 0.058 C2nH1g 0.058 C2nR1p 0.058 C2pD1p 0.058 C2pR2d 0.058 C2tH1e 0.058

C2tR2x 0.058 C2wD2n 0.058 D1aH2p 0.058 D1cH2d 0.058 D1hH1r 0.058 D1nH1g 0.058 D2gR1n 0.058 D2nH2w 0.058 D2pR1r 0.058 H1gH2n 0.058 H1lR2k 0.058 H1sH2s 0.058 H2nR1p 0.058 H2pR2s 0.058 H2vR2m 0.058 B1aR2l 0.057 B1gD2l 0.057 B1iR1g 0.057 B1kR1p 0.057 B1lD1f 0.057 B1qR2r 0.057 B2dR1m 0.057 B2eH1f 0.057 B2eH1n 0.057 B2gC1l 0.057 B2iC2l 0.057 B2nD1n 0.057 C1aC2q 0.057 C1fH2l 0.057 C1hD1f 0.057 C1kD1p 0.057 C1kD2y 0.057 C1lC2t 0.057 C1qD2w 0.057 C1sH1g 0.057 C2qD1q 0.057 C2wD1t 0.057 D1cD2n 0.057 D1kR2p 0.057 D1lH2f 0.057 D1rR2q 0.057 D1tH2w 0.057 D1tR1p 0.057 D2dH1d 0.057 D2kH2n 0.057 D2mR2g 0.057 D2pH2l 0.057 D2tR2s 0.057 H1dR1x 0.057 H1eR1l 0.057 H1pR1l 0.057 H1qR1l 0.057 H1vR2q 0.057 H2aR2d 0.057 H2lR2m 0.057 H2mR2l 0.057 H2pR2a 0.057 R1gR2i 0.057 R1yR2a 0.057 B1aR1p 0.056 B1cC2y 0.056 B1eC2e 0.056 B1gR1s 0.056 B1iR2t 0.056 B1mB2l 0.056 B1nC2c 0.056 B1nH2c 0.056 B1pC2d 0.056 B1pH1p 0.056 B1qD2w 0.056 B1sR2h 0.056 B1vD1c 0.056 B2cD1f 0.056 B2dR1q 0.056 B2eD1t 0.056 B2eH2r 0.056 B2eR1e 0.056 B2fH1f 0.056 B2kR1l 0.056 B2qR1r 0.056 B2sD1k 0.056 B2tR1r 0.056 B2vC1n 0.056 B2vH1r 0.056 B2yD1p 0.056 B2yD2e 0.056 C1cR2k 0.056 C1iR2k 0.056 C1kR1v 0.056 C1nR1f 0.056 C1rH2v 0.056 C1rR1f 0.056 C2cD1f 0.056 C2fH1g 0.056 C2hR1g 0.056 C2kH1e 0.056 C2kR2x 0.056 C2pR2r 0.056 C2pR2s 0.056 C2vR1v 0.056 D1cR2k 0.056 D1fH2c 0.056 D1gR1s 0.056 D1hR1e 0.056 D1pR1l 0.056 D1tH2y 0.056 D1vD2f 0.056 D1vH1t 0.056 D2gH1c 0.056 D2gH1d 0.056 D2iH1n 0.056 D2tR1r 0.056 H1eH2k 0.056 H1gR2d 0.056 H1iR1l 0.056 H1pR1s 0.056 H2hR1l 0.056 H2kR2x 0.056 B1kD1m 0.055 B1kH2p 0.055 B1mC1s 0.055 B1nC1a 0.055 B1nH2v 0.055 B1tH1l 0.055 B1yC1t 0.055 B1yD2f 0.055 B2eC2r 0.055 B2fR1p 0.055 B2gC2f 0.055 B2iH1p 0.055 B2iH2l 0.055 B2kH1k 0.055 B2kH1p 0.055 B2pR2r 0.055 B2tH1l 0.055 C1gR1s 0.055 C1qH2y 0.055 C1rC2m 0.055 C1sH2n 0.055 C1vR2e 0.055 C2fD1p 0.055 C2gD2f 0.055 C2gH1m 0.055 C2gR1d 0.055 C2iH1g 0.055 C2nD2k 0.055 C2nR2e 0.055 D1eR2n 0.055 D1gD2h 0.055 D1kD2r 0.055 D1mR1a 0.055 D1pR2f 0.055 D1qD2q 0.055 D1vR1i 0.055 D1vR1m 0.055 D2vH1m 0.055 D2vR1i 0.055 D2yR2g 0.055 D2yR2r 0.055 H1mH2g 0.055

H1qH2q 0.055 H1sR1e 0.055 H1vR1i 0.055 H2hR2s 0.055 H2nR2e 0.055 R1fR2x 0.055 B1cC2v 0.054 B1cH2y 0.054 B1iC1n 0.054 B1iR1p 0.054 B1kC2p 0.054 B1mH1v 0.054 B1qR1l 0.054 B1rC1r 0.054 B1sC1f 0.054 B1sR2a 0.054 B2cD2i 0.054 B2gD1c 0.054 B2pR1s 0.054 B2qD2f 0.054 B2rD2p 0.054 B2yD1d 0.054 C1aR2d 0.054 C1cC2y 0.054 C1kR1d 0.054 C1lR1i 0.054 C1lR1m 0.054 C1mD1a 0.054 C1nC2s 0.054 C1nH2s 0.054 C1pH2r 0.054 C1rH1p 0.054 C1sD1m 0.054 C2yD2k 0.054 D1cR1p 0.054 D1kH2r 0.054 D1mH2m 0.054 D1sD2g 0.054 D2gR1d 0.054 D2kR2i 0.054 D2kR2p 0.054 H1mR2g 0.054 H2pR1f 0.054 H2sR1g 0.054 R1iR2g 0.054 R1mR2g 0.054 R1pR2t 0.054 B1aR2a 0.053 B1eD2h 0.053 B1fD2r 0.053 B1gD2h 0.053 B1hB2i 0.053 B1iD1h 0.053 B1kR1d 0.053 B1pC2a 0.053 B1qD1a 0.053 B1qR2k 0.053 B1rC1s 0.053 B1rR2v 0.053 B1sH2t 0.053 B1tC1c 0.053 B1wB2k 0.053 B1wD2k 0.053 B2aH1k 0.053 B2aR1n 0.053 B2eC1y 0.053 B2fD2h 0.053 B2gD2n 0.053 B2hC2a 0.053 B2iR2g 0.053 B2kC1w 0.053 B2kC2w 0.053 B2kH2w 0.053 B2lC1k 0.053 B2sH2r 0.053 B2vD2w 0.053 B2wC2k 0.053 B2wH2k 0.053 C1aC2t 0.053 C1gD2h 0.053 C1pH2h 0.053 C1qD1s 0.053 C1sC2n 0.053 C1wD2k 0.053 C2aD1n 0.053 C2fD2t 0.053 C2mD2g 0.053 C2nH1r 0.053 C2pR1f 0.053 C2rD1k 0.053 C2sR2k 0.053 C2sR2x 0.053 D1aD2g 0.053 D1fR2f 0.053 D1iR1g 0.053 D1lH1i 0.053 D1mH2i 0.053 D1nR2l 0.053 D1pH2m 0.053 D1sR1e 0.053 D1vH2t 0.053 D2eH1p 0.053 D2tH2f 0.053 H1rH2n 0.053 H2iR2f 0.053 R1pR2s 0.053 B1cR2d 0.052 B1cR2q 0.052 B1iR2d 0.052 B1mC2f 0.052 B1mD1s 0.052 B1pH1l 0.052 B1vD2t 0.052 B1vR2e 0.052 B1wC2t 0.052 B1yC2f 0.052 B2hR2v 0.052 B2pD1r 0.052 B2pR1r 0.052 B2sC2r 0.052 C1aD2q 0.052 C1nD2i 0.052 C1rH1k 0.052 C1sC2l 0.052 C1sH2h 0.052 C1sR2h 0.052 C1sR2k 0.052 C1wC2t 0.052 C2eD2a 0.052 C2hH1l 0.052 C2mR2x 0.052 C2sH1g 0.052 C2sR1l 0.052 C2tD1w 0.052 C2tD2w 0.052 C2vD1i 0.052 D1cR2d 0.052 D1cR2q 0.052 D1fH2m 0.052 D1sD2t 0.052 D2nR1q 0.052 H1cR2d 0.052 H1cR2q 0.052 H1lR1i 0.052 H1lR1m 0.052 H1pH2m 0.052 H1qR2d 0.052 H1sR2h 0.052 H1sR2t 0.052 R1kR2h 0.052 B1aC2r 0.051 B1iB2y 0.051 B1lR1i 0.051 B1lR1m 0.051 B1mH1q 0.051 B1rB2h 0.051 B1rB2l 0.051 B1rC2h 0.051 B1tC1w 0.051 B1tD1t 0.051

B2aR1p 0.051 B2cD1i 0.051 B2cR1p 0.051 B2dH2r 0.051 B2fR1t 0.051 B2lD1f 0.051 B2mR2e 0.051 B2nR2s 0.051 B2pH1v 0.051 B2qR1x 0.051 B2tH1e 0.051 B2yC1i 0.051 C1aR1p 0.051 C1cC2k 0.051 C1cH2k 0.051 C1cH2y 0.051 C1fD2s 0.051 C1gD2a 0.051 C1gD2i 0.051 C1hR1p 0.051 C1kR1e 0.051 C1lD2q 0.051 C1pR2i 0.051 C1rH1f 0.051 C1sR1s 0.051 C1tC2f 0.051 C1tH2a 0.051 C1vH2n 0.051 C1wC2s 0.051 C1wH2s 0.051 C2cR1p 0.051 C2eR2r 0.051 C2hH1q 0.051 C2hR2l 0.051 C2kD1c 0.051 C2kH1d 0.051 C2nR1g 0.051 C2qH1q 0.051 C2rR2d 0.051 C2rR2q 0.051 C2sD1w 0.051 D1cD2k 0.051 D1cH2k 0.051 D1dD2y 0.051 D1eH2n 0.051 D1fH2i 0.051 D1nR1n 0.051 D1pH2f 0.051 D1wH2s 0.051 D2aH1t 0.051 D2aH2e 0.051 D2kH2y 0.051 D2lR1d 0.051 H1dH2k 0.051 H2cR1p 0.051 H2nR1g 0.051 R1aR2v 0.051 R1nR2a 0.051 B1aC2l 0.050 B1cH2v 0.050 B1eC1k 0.050 B1rC1t 0.050 B1sH2l 0.050 B1yH2f 0.050 B2aH2v 0.050 B2dC2r 0.050 B2iD2c 0.050 B2mC1g 0.050 B2rR2q 0.050 B2sC2g 0.050 B2sC2w 0.050 B2sH2g 0.050 B2sH2w 0.050 C1dD1m 0.050 C1iD2y 0.050 C1iH2n 0.050 C1lD1w 0.050 C1nR1p 0.050 C1pD1r 0.050 C1qH2q 0.050 C1rR2m 0.050 C1sH2l 0.050 C1yD1t 0.050 C2fD2y 0.050 C2iD1m 0.050 C2kR2q 0.050 C2mD1m 0.050 C2pD1e 0.050 C2pH1c 0.050 C2tD1t 0.050 D1eR2l 0.050 D1eR2q 0.050 D1kR2t 0.050 D1mR2e 0.050 D1pR2s 0.050 D2eR1a 0.050 D2lR1r 0.050 D2mH1e 0.050 D2yH2f 0.050 H1rR1x 0.050 H1sR1s 0.050 H2kR2q 0.050 H2rR2d 0.050 H2rR2q 0.050 B1aH2s 0.049 B1cR1q 0.049 B1eD2r 0.049 B1fH2t 0.049 B1hC1n 0.049 B1kD2i 0.049 B1kR2r 0.049 B1pH2a 0.049 B1pH2e 0.049 B1qR2d 0.049 B1vC2e 0.049 B1wC1t 0.049 B2eD1m 0.049 B2gR2d 0.049 B2kR1m 0.049 B2mH1r 0.049 B2pR2t 0.049 B2vD2m 0.049 B2vR2k 0.049 C1cR1q 0.049 C1iC2n 0.049 C1kR2k 0.049 C1lC2f 0.049 C1mC2f 0.049 C1mH1v 0.049 C1pD1n 0.049 C1pR2l 0.049 C1tH2f 0.049 C2hR2a 0.049 C2iR1g 0.049 C2kR1i 0.049 C2mD1f 0.049 C2mR2a 0.049 C2nD1e 0.049 C2nR1e 0.049 C2rR1f 0.049 C2rR1k 0.049 C2sR1g 0.049 C2vR2n 0.049 D1aD2a 0.049 D1aH2r 0.049 D1cD2m 0.049 D1cR1q 0.049 D1dR2l 0.049 D1nH2a 0.049 D1pH1e 0.049 D1pR2q 0.049 D1qH2n 0.049 D1sR2t 0.049 D2aH1q 0.049 D2iR2g 0.049 D2kR2k 0.049 D2qH1q 0.049 D2qR2a 0.049 D2sR2l 0.049 D2tH2p 0.049

H1cR1q 0.049 H1gR2f 0.049 H2fR2p 0.049 H2kR1i 0.049 H2nR1e 0.049 H2qR1a 0.049 H2vR1v 0.049 R1dR2q 0.049 B1dB2p 0.048 B1dH2n 0.048 B1iB2t 0.048 B1kB2e 0.048 B1mH2r 0.048 B1pC2v 0.048 B1pR2d 0.048 B1pR2q 0.048 B1rD1s 0.048 B1rH1d 0.048 B1sC1s 0.048 B1tR1d 0.048 B1vH2e 0.048 B1wD2e 0.048 B1yC1c 0.048 B1yC1k 0.048 B2cD1l 0.048 B2dC1i 0.048 B2dH1v 0.048 B2eD1p 0.048 B2eD2q 0.048 B2iH1a 0.048 B2mR1r 0.048 B2nC1i 0.048 B2pH1p 0.048 B2pR2h 0.048 B2qH1e 0.048 B2rH1a 0.048 C1eH2p 0.048 C1eR2f 0.048 C1lD1n 0.048 C1qH2s 0.048 C1vD1e 0.048 C1vH1c 0.048 C2eD2q 0.048 C2fD1e 0.048 C2iD1f 0.048 C2iR2f 0.048 C2kH1m 0.048 C2wD1s 0.048 C2wD2e 0.048 C2yD2l 0.048 D1dD2w 0.048 D1dR1d 0.048 D1kR2x 0.048 D1rR1e 0.048 D1rR2s 0.048 D1sH2w 0.048 D1tH1a 0.048 D2eH2w 0.048 D2fH2n 0.048 D2vH1v 0.048 H1dH2g 0.048 H1eH2t 0.048 H1fH2p 0.048 H1fR1e 0.048 H1mH2k 0.048 H1pR1d 0.048 H1tR1d 0.048 H2aR2i 0.048 H2eR2r 0.048 H2pR2r 0.048 H2rR1f 0.048 H2rR1k 0.048 R1nR2k 0.048 R1rR2m 0.048 B1aH2l 0.047 B1aR1v 0.047 B1aR2h 0.047 B1cD1t 0.047 B1dB2g 0.047 B1dB2w 0.047 B1dC2w 0.047 B1dH2w 0.047 B1fC2a 0.047 B1gR2y 0.047 B1hC2n 0.047 B1hH2n 0.047 B1hH2t 0.047 B1iD1i 0.047 B1qD1r 0.047 B1qD1w 0.047 B1rC2a 0.047 B1yC2r 0.047 B2fD1p 0.047 B2gC2s 0.047 B2gD2t 0.047 B2mR1e 0.047 B2nH1q 0.047 B2qD2s 0.047 B2rC1y 0.047 B2yC1f 0.047 C1cD1t 0.047 C1dC2w 0.047 C1dH2w 0.047 C1eR1y 0.047 C1gR2y 0.047 C1hC2n 0.047 C1hH2n 0.047 C1hH2t 0.047 C1iD1i 0.047 C1kR2v 0.047 C1lH2f 0.047 C1lR2s 0.047 C1mH2f 0.047 C1nR2e 0.047 C1qC2q 0.047 C1sR2d 0.047 C1vD2c 0.047 C2cD1l 0.047 C2gH1d 0.047 C2hR2p 0.047 C2kD1l 0.047 C2mD1p 0.047 C2mH1k 0.047 C2nD1q 0.047 C2nD1y 0.047 C2nR2r 0.047 C2pH1f 0.047 C2rD1a 0.047 C2tD1r 0.047 C2vR2v 0.047 D1gR2y 0.047 D1iH2v 0.047 D1lH2c 0.047 D1lH2k 0.047 D1sR1a 0.047 D1tR2s 0.047 D1vR2x 0.047 D1yH2n 0.047 D1yH2t 0.047 D2gR1v 0.047 D2qH2e 0.047 H1eR1q 0.047 H1fR2r 0.047 H1sH2q 0.047 H2nR2r 0.047 H2qR1n 0.047 H2sR2p 0.047 R1aR2x 0.047 R1eR2a 0.047 R1pR2d 0.047 B1cD1c 0.046 B1cH2p 0.046 B1dD1p 0.046 B1dD2g 0.046 B1fC2y 0.046 B1hB2n 0.046 B1hB2t 0.046 B1hC2d 0.046 B1hH2d 0.046 B1mC1r 0.046

B1mR2l 0.046 B1nD2q 0.046 B1nR1v 0.046 B1pD1f 0.046 B1qC1q 0.046 B1qC1w 0.046 B1tC1s 0.046 B1tD1k 0.046 B1vH1i 0.046 B1vR2a 0.046 B1wB2l 0.046 B1yD1k 0.046 B2cH2q 0.046 B2dD1y 0.046 B2dH1p 0.046 B2hD2g 0.046 B2iR1t 0.046 B2qR1d 0.046 B2rH2r 0.046 B2sD2i 0.046 B2tC1t 0.046 B2tD2l 0.046 B2tR1a 0.046 B2vR1s 0.046 C1aR2i 0.046 C1dR1e 0.046 C1dR2h 0.046 C1kD1d 0.046 C1kH2i 0.046 C1lH1v 0.046 C1mD2g 0.046 C1mH1q 0.046 C1tD1i 0.046 C1tD1p 0.046 C2nD2f 0.046 C2pR1p 0.046 C2pR2a 0.046 C2qR1a 0.046 C2qR2v 0.046 C2sD2m 0.046 C2tD1l 0.046 D1eD2n 0.046 D1iR2i 0.046 D1kR1p 0.046 D1kR2d 0.046 D1lR2l 0.046 D1pH2h 0.046 D1qD2c 0.046 D1qH1v 0.046 D1sH2d 0.046 D1yH2d 0.046 D2cH1g 0.046 D2eR1k 0.046 D2vR1r 0.046 H1aR1q 0.046 H1fR2i 0.046 H1sR1m 0.046 H2hR2l 0.046 H2qR2v 0.046 H2tR2l 0.046 H2vR2a 0.046 R1iR2l 0.046 B1aR2i 0.045 B1dC1a 0.045 B1kR2v 0.045 B1mC1e 0.045 B1pB2d 0.045 B1pH2d 0.045 B1pH2r 0.045 B2aR1d 0.045 B2dD2f 0.045 B2eC1r 0.045 B2fR1e 0.045 B2hH1s 0.045 B2iD2k 0.045 B2lD1s 0.045 B2lH1r 0.045 B2lR1d 0.045 B2pC2v 0.045 B2qR1n 0.045 B2rC2r 0.045 B2sD1l 0.045 C1aH2r 0.045 C1eD1d 0.045 C1hD1v 0.045 C1nD2v 0.045 C1nH1g 0.045 C1pD1s 0.045 C1sC2e 0.045 C2aR2k 0.045 C2aR2t 0.045 C2cD1v 0.045 C2dD1d 0.045 C2gR2y 0.045 C2lR2n 0.045 C2qR1n 0.045 C2rR1y 0.045 C2vR2x 0.045 D1cH1v 0.045 D1dH2d 0.045 D1eH2f 0.045 D1eR2f 0.045 D1fD2s 0.045 D1mD2t 0.045 D1qH1i 0.045 D1rH1v 0.045 D1sH2a 0.045 D1vH1c 0.045 D1vH2c 0.045 D2lH2y 0.045 D2rR2f 0.045 H1aR1s 0.045 H1lR2s 0.045 H1mR1k 0.045 H2gR2y 0.045 H2tR1k 0.045 H2tR1p 0.045 R1gR2k 0.045 B1cC1c 0.044 B1eH2p 0.044 B1fH2a 0.044 B1kC1a 0.044 B1lR2e 0.044 B1lR2s 0.044 B1mD1m 0.044 B1nR2i 0.044 B1pD2r 0.044 B1qB2q 0.044 B1sD1s 0.044 B1wR1g 0.044 B2cC2q 0.044 B2eC1w 0.044 B2kC2t 0.044 B2pH1k 0.044 B2pR1p 0.044 B2qC2a 0.044 B2vC2i 0.044 B2vR2d 0.044 B2wD1g 0.044 B2yD1m 0.044 C1aC2r 0.044 C1cD2f 0.044 C1dD1f 0.044 C1eC2a 0.044 C1fC2d 0.044 C1fH2d 0.044 C1iH1l 0.044 C1kR2q 0.044 C1pC2r 0.044 C1pD2r 0.044 C1sH2e 0.044 C1wR2g 0.044 C2aH1n 0.044 C2aR1l 0.044 C2eD1k 0.044 C2iD2k 0.044 C2sR2p 0.044 C2vR1a 0.044 C2vR1i 0.044 C2vR1m 0.044

C2vR2q 0.044 D1gD2w 0.044 D1iH2i 0.044 D1nH1d 0.044 D1nR2f 0.044 D1pH2t 0.044 D1sR2d 0.044 D1vD2k 0.044 D1wR2g 0.044 D1yR2g 0.044 D2cR2g 0.044 D2gR1s 0.044 D2iR2p 0.044 D2kR2q 0.044 D2nR1r 0.044 D2rR2m 0.044 D2sH2e 0.044 D2sR2p 0.044 D2tH2t 0.044 H1aR1e 0.044 H1gH2f 0.044 H1wR1g 0.044 H2dR1d 0.044 H2gR1d 0.044 H2mR2e 0.044 H2pR2v 0.044 H2rR1y 0.044 B1cD2g 0.043 B1dC1v 0.043 B1dD2n 0.043 B1dR2n 0.043 B1eD1s 0.043 B1fH2y 0.043 B1kR2d 0.043 B1pC2r 0.043 B1pH2m 0.043 B1rC2s 0.043 B1rD1a 0.043 B1rD2w 0.043 B1rH2s 0.043 B1vB2m 0.043 B1vC1d 0.043 B1yD1d 0.043 B2dD2t 0.043 B2eH2h 0.043 B2gR2h 0.043 B2lC1d 0.043 B2sH2i 0.043 B2vC1s 0.043 B2vD2v 0.043 C1aR2r 0.043 C1eD1l 0.043 C1eD2y 0.043 C1fD1a 0.043 C1kC2i 0.043 C1kC2t 0.043 C1kR1p 0.043 C1lD2a 0.043 C1lD2c 0.043 C1lH2d 0.043 C1qR1p 0.043 C1tR2l 0.043 C1yD1d 0.043 C2iD1e 0.043 C2pR2v 0.043 C2qD1a 0.043 C2qH1s 0.043 C2vR1p 0.043 D1dD2i 0.043 D1dR1l 0.043 D1dR2t 0.043 D1gR1d 0.043 D1kH2e 0.043 D1kR2a 0.043 D1vR2a 0.043 D2iR1l 0.043 H1fR1l 0.043 R1eR2s 0.043 B1aC1d 0.042 B1dC1e 0.042 B1eC2k 0.042 B1eC2p 0.042 B1eH2k 0.042 B1fR2a 0.042 B1fR2t 0.042 B1hR2x 0.042 B1kC1c 0.042 B1kD1w 0.042 B1kH1m 0.042 B1pC2e 0.042 B1pR2p 0.042 B1qC2f 0.042 B1rC2w 0.042 B1rD1t 0.042 B1rH2a 0.042 B1rH2w 0.042 B1tD1d 0.042 B1wC1s 0.042 B1wD2s 0.042 B2aH1v 0.042 B2kD1k 0.042 B2pD2e 0.042 B2rH1k 0.042 B2vD2p 0.042 C1aH2t 0.042 C1cC2f 0.042 C1fC2y 0.042 C1fR2n 0.042 C1gR1h 0.042 C1hD2e 0.042 C1iH1q 0.042 C1kH1d 0.042 C1kH2s 0.042 C1pR2t 0.042 C1qH1c 0.042 C1qH1i 0.042 C1rD2w 0.042 C1rH1q 0.042 C1rH2s 0.042 C1rR2a 0.042 C1sD1w 0.042 C1tR1d 0.042 C1wD1k 0.042 C2dR1d 0.042 C2iD1i 0.042 C2lD2p 0.042 C2mH1p 0.042 C2mR1p 0.042 D1cD2f 0.042 D1hD2q 0.042 D1qR1e 0.042 D2gR2i 0.042 D2lR1i 0.042 H1aR1a 0.042 H1nH2a 0.042 H1nR2t 0.042 H2hR2a 0.042 H2pR1p 0.042 H2pR2d 0.042 H2sR2s 0.042 H2vR2r 0.042 H2vR2t 0.042 R1pR2a 0.042 B1aR2e 0.041 B1cB2f 0.041 B1cD2s 0.041 B1dH2p 0.041 B1eD1m 0.041 B1kD1c 0.041 B1lH2t 0.041 B1nH1g 0.041 B1pR2t 0.041 B1rD1q 0.041 B1rH2h 0.041 B1vB2v 0.041 B2aC2a 0.041 B2cD1q 0.041 B2dH2t 0.041 B2eH2t 0.041 B2fC1c 0.041

B2hR1s 0.041 B2iC1a 0.041 B2lR1e 0.041 B2mD1q 0.041 B2nR1n 0.041 B2rD2y 0.041 B2rR1r 0.041 B2sC1g 0.041 B2sH1p 0.041 B2tD2c 0.041 B2vD1y 0.041 C1dD2d 0.041 C1eC2w 0.041 C1eH2w 0.041 C1gD2f 0.041 C1hC2k 0.041 C1hH2k 0.041 C1lD1e 0.041 C1rD1a 0.041 C1vC2v 0.041 C1vR2l 0.041 C2hD1p 0.041 C2iD1p 0.041 C2kD1y 0.041 C2sR2s 0.041 C2tH1i 0.041 C2vR2a 0.041 D1dH2p 0.041 D1fD2r 0.041 D1nD2p 0.041 D1nR2p 0.041 D1pH2p 0.041 D1pR2l 0.041 D1tH1i 0.041 D1vH2p 0.041 D1yH2k 0.041 D2gH1n 0.041 D2lH1t 0.041 D2qH1s 0.041 H1nH2q 0.041 H1pR1p 0.041 H2aR2t 0.041 H2lR2n 0.041 H2lR2t 0.041 R1eR2r 0.041 R1qR2x 0.041 R1sR2d 0.041 B1cD1s 0.040 B1dD1s 0.040 B1fC2t 0.040 B1gR1v 0.040 B1hC2t 0.040 B1hD2k 0.040 B1hR2a 0.040 B1mD1e 0.040 B1nR2k 0.040 B1nR2n 0.040 B1pH2n 0.040 B1pR1l 0.040 B1qH1v 0.040 B1qH2f 0.040 B1rB2p 0.040 B1sB2i 0.040 B1sH1i 0.040 B1sH2s 0.040 B1tH2m 0.040 B1vH2a 0.040 B1wD2r 0.040 B1yR2a 0.040 B2aR1r 0.040 B2cC1l 0.040 B2cD2n 0.040 B2dD1m 0.040 B2fD2d 0.040 B2fR1l 0.040 B2fR2t 0.040 B2kH1i 0.040 B2qH2a 0.040 B2sC2i 0.040 C1cH2f 0.040 C1fH2y 0.040 C1hC2t 0.040 C1kD1r 0.040 C1lC2c 0.040 C1lH2c 0.040 C1qC2l 0.040 C1qH1q 0.040 C2eR2e 0.040 C2kD1a 0.040 C2kD2f 0.040 C2lD2d 0.040 C2rD1w 0.040 C2rR1e 0.040 C2tD1y 0.040 C2vD1a 0.040 C2wD2r 0.040 D1aH2k 0.040 D1fD2y 0.040 D1gR1v 0.040 D1mR1l 0.040 D1mR2t 0.040 D1pR2n 0.040 D1pR2t 0.040 D1rH2t 0.040 D1tH2n 0.040 D1wH2r 0.040 D2eR1i 0.040 D2eR1s 0.040 D2fH2k 0.040 D2rH2w 0.040 D2vH2m 0.040 H1hR2a 0.040 H1lH2h 0.040 H1mR2v 0.040 H1yR2a 0.040 H2aR1h 0.040 H2hR2p 0.040 H2mR1e 0.040 B1aD1k 0.039 B1dC1w 0.039 B1fD1c 0.039 B1hC1v 0.039 B1hC2s 0.039 B1hH2s 0.039 B1iC2s 0.039 B1nD1l 0.039 B1qC2a 0.039 B1sD2q 0.039 B1tD2h 0.039 B1wD1d 0.039 B1yR1g 0.039 B2dR1k 0.039 B2eC2d 0.039 B2eD1d 0.039 B2eD1i 0.039 B2eH2d 0.039 B2gH2s 0.039 B2hD2i 0.039 B2hH1d 0.039 B2hR2r 0.039 B2iH1r 0.039 B2lD1n 0.039 B2lH1a 0.039 B2lR2v 0.039 B2mD2t 0.039 B2qC1a 0.039 B2qC1s 0.039 B2qH1k 0.039 B2rC2w 0.039 B2rD1q 0.039 B2rH2w 0.039 B2vH2v 0.039 C1aR2t 0.039 C1gR1v 0.039 C1iH2s 0.039 C1nD1n 0.039 C1nD2t 0.039 C1pC2v 0.039 C1qH2n 0.039 C1sD2q 0.039

Page 94: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

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C1sR2s 0.039 C1tH1s 0.039 C1tR1f 0.039 C1vC2s 0.039 C1vD1y 0.039 C1vH2s 0.039 C1wD1s 0.039 C2dD2g 0.039 C2gH1s 0.039 C2lR1i 0.039 C2lR1s 0.039 C2nR1f 0.039 C2pD1d 0.039 D1aD2n 0.039 D1aD2r 0.039 D1dH1t 0.039 D1dR2q 0.039 D1eD2p 0.039 D1kH2s 0.039 D1lR2v 0.039 D1nD2v 0.039 D1nH2q 0.039 D1tD2c 0.039 D2mR2s 0.039 D2tR2f 0.039 H1vR1x 0.039 H1yR1g 0.039 H2dR2v 0.039 H2iR1e 0.039 H2iR1g 0.039 H2nR1f 0.039 H2tR2v 0.039 H2vR1i 0.039 H2vR1m 0.039 H2vR2v 0.039 B1aD2s 0.038 B1cR1d 0.038 B1dC1n 0.038 B1dD1c 0.038 B1gB2d 0.038 B1gH1s 0.038 B1pC2n 0.038 B1rH1a 0.038 B1sH1g 0.038 B2dR1f 0.038 B2fD2m 0.038 B2fR2a 0.038 B2hD1l 0.038 B2kR1r 0.038 B2lR1i 0.038 B2mC2a 0.038 B2nD1r 0.038 B2nR1f 0.038 B2pC1d 0.038 B2qH1n 0.038 B2sD1y 0.038 B2tD1f 0.038 B2tH1d 0.038 C1cD2r 0.038 C1dR2x 0.038 C1fD2m 0.038 C1iR1d 0.038 C1pD2k 0.038 C1pH2f 0.038 C1qH2l 0.038 C1qR1e 0.038 C2aR2r 0.038 C2hR2e 0.038 C2mR2e 0.038 C2nD1t 0.038 C2qH1n 0.038 C2rH1v 0.038 C2rR2r 0.038 C2wD1e 0.038 D1dH1d 0.038 D1eD2w 0.038 D1eD2y 0.038 D1eH2w 0.038 D1fR1l 0.038 D1gH1s 0.038 D1tH2t 0.038 D2aR2n 0.038 D2dH2l 0.038 D2gR1h 0.038 D2nR2g 0.038 D2qH2m 0.038 D2rH2h 0.038 D2sH2d 0.038 H1aR1k 0.038 H1cR1d 0.038 H1lR2r 0.038 H1vH2f 0.038 H2rR1e 0.038 H2tR2x 0.038 H2vR2q 0.038 B1aD1i 0.037 B1cC1d 0.037 B1cR1k 0.037 B1cR2l 0.037 B1eD1t 0.037 B1gD2d 0.037 B1gR1i 0.037 B1hD1p 0.037 B1iR2l 0.037 B1lB2c 0.037 B1lC2c 0.037 B1lD1e 0.037 B1lH2c 0.037 B1mH2i 0.037 B1pC2m 0.037 B1pH2v 0.037 B1sD1n 0.037 B1sH2v 0.037 B1tC2m 0.037 B2cC2d 0.037 B2cH2d 0.037 B2dC2c 0.037 B2dH1s 0.037 B2dH2c 0.037 B2gD1n 0.037 B2gH2f 0.037 B2kC1f 0.037 B2kD1s 0.037 B2kH1q 0.037 B2nC2c 0.037 B2nD1t 0.037 B2nH2c 0.037 B2rH1v 0.037 B2tC2g 0.037 B2tH2g 0.037 B2vD1s 0.037 C1cR1k 0.037 C1eC2p 0.037 C1fC2k 0.037 C1fH2k 0.037 C1gH1s 0.037 C1gR1i 0.037 C1iH1s 0.037 C1iH2v 0.037 C1iR2l 0.037 C1kD1t 0.037 C1lH2r 0.037 C1nR2k 0.037 C1pC2i 0.037 C1qC2n 0.037 C1qD1q 0.037 C1qH2t 0.037 C1rR2h 0.037 C1sC2f 0.037 C1tD2i 0.037 C1tR2v 0.037 C1yH2i 0.037 C2aH1t 0.037 C2aR2v 0.037 C2dR2v 0.037 C2eD2i 0.037 C2gD2d 0.037 D1dD2k 0.037 D1gR1i 0.037 D1iD2a 0.037

D1pD2t 0.037 D1pR1f 0.037 D1sR2p 0.037 D1tH2p 0.037 D2dH2g 0.037 D2iH1t 0.037 D2iH2e 0.037 D2rR2p 0.037 D2sR1s 0.037 D2vH2i 0.037 H1cR1k 0.037 H1cR2l 0.037 H1fH2d 0.037 H1pR2a 0.037 H1vH2r 0.037 H2eR2e 0.037 H2iR2n 0.037 H2lR1i 0.037 H2rR2r 0.037 B1lC1p 0.036 B1rC1e 0.036 B1rC1w 0.036 B1rD1w 0.036 B1sC1r 0.036 B1tC1l 0.036 B1vD1h 0.036 B1vD2h 0.036 B1yR1a 0.036 B2aR2v 0.036 B2dD2d 0.036 B2iR1l 0.036 B2kR1e 0.036 B2lH2q 0.036 B2mD2n 0.036 B2sH1i 0.036 C1aD1d 0.036 C1dR1p 0.036 C1eD1f 0.036 C1eD2r 0.036 C1lC2r 0.036 C1lD1y 0.036 C1lR2l 0.036 C1nC2y 0.036 C1sD2c 0.036 C1tD1m 0.036 C1vD2h 0.036 C1vH2v 0.036 C2aD1m 0.036 C2fD2f 0.036 C2gH1i 0.036 C2hH1g 0.036 C2kD1d 0.036 C2kD2t 0.036 C2nR2f 0.036 C2qD1n 0.036 D1dH2k 0.036 D1hH2p 0.036 D1iD2t 0.036 D1mD2m 0.036 D1nD2q 0.036 D1nR2e 0.036 D1qH1s 0.036 D1qH2a 0.036 D1rR2i 0.036 D1sH1c 0.036 D1tR2l 0.036 D1vD2g 0.036 D1vR1f 0.036 D2fH2f 0.036 D2gR1q 0.036 D2kH1i 0.036 D2pH1k 0.036 D2tH2k 0.036 D2tH2m 0.036 H1gR2s 0.036 H1iH2g 0.036 H1nR1q 0.036 H1yR1a 0.036 H2hR1g 0.036 H2iR1l 0.036 H2lR1s 0.036 H2nR2f 0.036 B1aD1t 0.035 B1aH2h 0.035 B1eH2t 0.035 B1fD2l 0.035 B1hR1p 0.035 B1mC2i 0.035 B1mD2g 0.035 B1pB2e 0.035 B1pH2h 0.035 B1qD1d 0.035 B1qD1e 0.035 B1qH2a 0.035 B1sD1t 0.035 B1sD2t 0.035 B1tB2l 0.035 B1vC1e 0.035 B2eD2d 0.035 B2eH1m 0.035 B2eR1i 0.035 B2eR2t 0.035 B2iR2k 0.035 B2lD1y 0.035 B2mH2a 0.035 B2nH1f 0.035 B2tC1n 0.035 C1eD2a 0.035 C1hD1t 0.035 C1kH1c 0.035 C1pC2q 0.035 C1qR1n 0.035 C1rD1k 0.035 C1rD1w 0.035 C1sH2f 0.035 C1tD1y 0.035 C1tH1n 0.035 C1vH1f 0.035 C1yC2i 0.035 C1yD2q 0.035 C2dH1f 0.035 C2eR1l 0.035 C2fH1v 0.035 C2gD2h 0.035 C2mD2q 0.035 C2pD1h 0.035 C2pD1t 0.035 C2tR2a 0.035 D1aR1f 0.035 D1hD2d 0.035 D1iD2r 0.035 D1lR1t 0.035 D1pH1s 0.035 D1qR1f 0.035 D1sD2f 0.035 D2hH2g 0.035 D2mH1v 0.035 D2tR1t 0.035 H1qR1n 0.035 H2gR1s 0.035 H2tR1t 0.035 R1lR2i 0.035 B1aH2a 0.034 B1cR2g 0.034 B1dH2s 0.034 B1fC1a 0.034 B1fD2f 0.034 B1gB2i 0.034 B1gD2n 0.034 B1iC2f 0.034 B1iC2l 0.034 B1lD1y 0.034 B1mH1p 0.034 B1nC1e 0.034 B1pC2q 0.034 B1qB2e 0.034 B1qC1v 0.034 B1sR1n 0.034 B1tD1h 0.034 B1vH1n 0.034

B1wC1e 0.034 B2aH2a 0.034 B2fC2t 0.034 B2sC1t 0.034 B2sD1q 0.034 B2sD2c 0.034 B2tH2m 0.034 C1aD2r 0.034 C1aH1a 0.034 C1cH1k 0.034 C1mH1a 0.034 C1mH2q 0.034 C1nR2d 0.034 C2eR2k 0.034 C2gR1s 0.034 C2iR1l 0.034 C2kR1n 0.034 C2kR2r 0.034 C2sH1q 0.034 C2tD2t 0.034 D1cH1k 0.034 D1fR2d 0.034 D1fR2q 0.034 D1iH2n 0.034 D1iR1q 0.034 D1rR1d 0.034 D2eR1q 0.034 D2gH1v 0.034 D2qH2q 0.034 H1aR1x 0.034 H1aR2x 0.034 H1cR2g 0.034 H1dH2d 0.034 H1dR1q 0.034 H1fR1a 0.034 H1lR1f 0.034 H1lR1k 0.034 H1pR1m 0.034 H1sR2g 0.034 H1tH2a 0.034 H2dR2a 0.034 H2iR2q 0.034 H2kR1n 0.034 H2kR2r 0.034 H2vR2x 0.034 R1vR2r 0.034 B1dD1n 0.033 B1eC1r 0.033 B1eD2i 0.033 B1gB2s 0.033 B1iD1c 0.033 B1iH2f 0.033 B1iH2l 0.033 B1kB2l 0.033 B1kC1h 0.033 B1mD2t 0.033 B1mR2e 0.033 B1pR1m 0.033 B1pR2i 0.033 B1qD1m 0.033 B1qR1n 0.033 B1rR1i 0.033 B1rR1l 0.033 B1rR2k 0.033 B1sB2f 0.033 B1sC2l 0.033 B1tC1q 0.033 B1vB2h 0.033 B1vC2l 0.033 B1yD1f 0.033 B2eD1y 0.033 B2eH2q 0.033 B2fC1s 0.033 B2fH2s 0.033 B2gH2i 0.033 B2kH2t 0.033 B2lC2q 0.033 B2lC2t 0.033 B2mC2k 0.033 B2mH2k 0.033 B2rH1p 0.033 C1aR2q 0.033 C1iD1c 0.033 C1iH2f 0.033 C1kH1v 0.033 C1lD2i 0.033 C1lH1n 0.033 C1nH1t 0.033 C1nH2y 0.033 C1qC2p 0.033 C1qD1m 0.033 C1rR1k 0.033 C1tH2i 0.033 C1yD1f 0.033 C1yD2t 0.033 C2aD2k 0.033 C2fD1s 0.033 C2gR1v 0.033 C2iD2v 0.033 C2iR2n 0.033 C2mD2t 0.033 C2nD1i 0.033 C2rD1i 0.033 C2sD2t 0.033 C2tR2l 0.033 C2yD1i 0.033 D1aH1h 0.033 D1aH2q 0.033 D1iH2t 0.033 D1lD2y 0.033 D1lH2p 0.033 D1nR2i 0.033 D1pH2r 0.033 D1qH1n 0.033 D1qH2v 0.033 D1tH1e 0.033 D2dR2f 0.033 D2fR1k 0.033 D2kH2l 0.033 D2tH2s 0.033 D2vR2f 0.033 H1mR2e 0.033 H1nR2s 0.033 H1sR1r 0.033 H1vR1p 0.033 H1vR2f 0.033 H2aR2v 0.033 H2eR1l 0.033 H2eR1m 0.033 H2gR1v 0.033 H2hR1s 0.033 H2hR2e 0.033 H2vR1a 0.033 R1gR2d 0.033 R1pR2n 0.033 R1vR2k 0.033 B1aC2a 0.032 B1cC1i 0.032 B1dD1i 0.032 B1eR2i 0.032 B1kB2c 0.032 B1lC1i 0.032 B1lC2k 0.032 B1lD2i 0.032 B1lH2k 0.032 B1mD1i 0.032 B1nB2v 0.032 B1rD1d 0.032 B1sH2n 0.032 B1tB2q 0.032 B2aD2m 0.032 B2cC1k 0.032 B2cC2v 0.032 B2dC1k 0.032 B2dR2x 0.032 B2eH1e 0.032 B2hC1t 0.032 B2hD1q 0.032 B2hH1r 0.032 B2iR2q 0.032

B2rC2d 0.032 B2rD2r 0.032 B2rH2d 0.032 B2yD2v 0.032 C1aR2x 0.032 C1cR2v 0.032 C1dH1i 0.032 C1dR2s 0.032 C1eR2e 0.032 C1kC2c 0.032 C1kH2c 0.032 C1kH2t 0.032 C1lD1h 0.032 C1lH2a 0.032 C1lR2f 0.032 C1mC2q 0.032 C1pR2x 0.032 C1qH2m 0.032 C1rD1c 0.032 C1rR1i 0.032 C1rR1m 0.032 C1tC2h 0.032 C1vC2i 0.032 C1vH1d 0.032 C2cD2e 0.032 C2cD2l 0.032 C2dH1d 0.032 C2gR1i 0.032 C2hD1q 0.032 C2hD2q 0.032 C2kR2a 0.032 C2pD1l 0.032 C2sR2r 0.032 C2tR1k 0.032 C2yD2i 0.032 D1dD2c 0.032 D1dR2a 0.032 D1hD2k 0.032 D1hR2x 0.032 D1mH2s 0.032 D1pR2d 0.032 D1rR1k 0.032 D1tH1p 0.032 D1tH2m 0.032 D2eH1i 0.032 D2eH2c 0.032 D2lH2c 0.032 D2pR1k 0.032 D2rH2r 0.032 H1aR1t 0.032 H1eR2i 0.032 H1gH2h 0.032 H1rR1l 0.032 H1rR1r 0.032 H1sR1p 0.032 H1sR2x 0.032 H1tR1v 0.032 H2eR2k 0.032 H2gR1i 0.032 H2kR2a 0.032 B1aC1l 0.031 B1aD1v 0.031 B1aR2d 0.031 B1cC1e 0.031 B1dD1t 0.031 B1dD2c 0.031 B1dH2a 0.031 B1dR1g 0.031 B1eC1s 0.031 B1fB2e 0.031 B1fB2f 0.031 B1gR1d 0.031 B1hD1t 0.031 B1iB2f 0.031 B1iD2s 0.031 B1iR2a 0.031 B1kD1q 0.031 B1lC2t 0.031 B1lD1r 0.031 B1pH1s 0.031 B1pH2i 0.031 B1qH2m 0.031 B1rH2q 0.031 B1sC2n 0.031 B1sR1f 0.031 B1tB2e 0.031 B1vB2i 0.031 B1vD2v 0.031 B1vH2l 0.031 B1yB2t 0.031 B2dC2t 0.031 B2eC1i 0.031 B2eC1k 0.031 B2fD2f 0.031 B2gC1d 0.031 B2iC1v 0.031 B2iH1t 0.031 B2kD2n 0.031 B2lC2f 0.031 B2lD2c 0.031 B2nD2h 0.031 B2pR1l 0.031 B2qD2v 0.031 B2sR1r 0.031 B2tC2m 0.031 C1aD1q 0.031 C1cH1d 0.031 C1dD2c 0.031 C1fC2f 0.031 C1fD2f 0.031 C1fD2l 0.031 C1fH1l 0.031 C1iD1t 0.031 C1pH2i 0.031 C1sC2c 0.031 C1sH2c 0.031 C1tH2p 0.031 C1wD1e 0.031 C2dD2i 0.031 C2dR2a 0.031 C2lD2c 0.031 C2lH1c 0.031 C2qD2q 0.031 C2tD2g 0.031 D1aH2v 0.031 D1aR2f 0.031 D1cH1d 0.031 D1iH2y 0.031 D1rH1m 0.031 D1rR1l 0.031 D1rR1m 0.031 D1sH2f 0.031 D2aH2y 0.031 D2dR1g 0.031 D2dR2v 0.031 D2fH1k 0.031 D2iH2d 0.031 D2iH2t 0.031 D2kH1q 0.031 D2lH1a 0.031 H1iR2a 0.031 H1pR2m 0.031 H1sR1n 0.031 H1vR2v 0.031 H2fR2l 0.031 R1aR2r 0.031 R1lR2k 0.031 R1vR2g 0.031 B1aC1k 0.030 B1kD1a 0.030 B1nC2s 0.030 B1rB2e 0.030 B1sB2d 0.030 B1sD1q 0.030 B1sR1k 0.030 B1vC1k 0.030 B2aD1v 0.030 B2dD1g 0.030 B2dR1t 0.030 B2eC2q 0.030

B2eH1d 0.030 B2fR1a 0.030 B2gC1s 0.030 B2gD1h 0.030 B2iR1q 0.030 B2lH1i 0.030 B2mC2g 0.030 B2mH2g 0.030 B2nC2s 0.030 B2nD2g 0.030 B2nH2s 0.030 B2nR2g 0.030 B2tR1v 0.030 B2yD2q 0.030 C1dD1l 0.030 C1fH2f 0.030 C1gR1d 0.030 C1kH1q 0.030 C1lC2h 0.030 C1mD1n 0.030 C1mD2t 0.030 C1pH2n 0.030 C1qD1h 0.030 C1qD1p 0.030 C1qH1n 0.030 C1rD1p 0.030 C1sC2d 0.030 C1sD1k 0.030 C1sD1q 0.030 C1sD2n 0.030 C1sH2d 0.030 C1tC2i 0.030 C2aR1d 0.030 C2eR2d 0.030 C2iD2y 0.030 C2nD1k 0.030 C2sD1f 0.030 D1aR2s 0.030 D1eH2a 0.030 D1fH2s 0.030 D1gD2f 0.030 D1hR2a 0.030 D1mD2e 0.030 D1mH1v 0.030 D1nH2n 0.030 D1nR1l 0.030 D1rH2e 0.030 D1sR1n 0.030 D1sR1p 0.030 D1tH2r 0.030 D2aH2i 0.030 D2cH2l 0.030 D2gH2d 0.030 D2iH2y 0.030 D2sH1c 0.030 H1cH2l 0.030 H1eH2s 0.030 H1sH2f 0.030 H1sR2r 0.030 B1eH2i 0.029 B1hD1k 0.029 B1iR2p 0.029 B1kC1v 0.029 B1lR2f 0.029 B1mD1q 0.029 B1mR1e 0.029 B1nC1c 0.029 B1pC2k 0.029 B1pH2k 0.029 B1qH1s 0.029 B1rC2i 0.029 B1sD2p 0.029 B1tR1a 0.029 B1vD1k 0.029 B1yC2n 0.029 B1yH2n 0.029 B2cH2v 0.029 B2fH1l 0.029 B2gC1n 0.029 B2gC2h 0.029 B2hH2t 0.029 B2iC1t 0.029 B2iD1q 0.029 B2iD1r 0.029 B2iD2t 0.029 B2lH2f 0.029 B2lH2v 0.029 B2pH2m 0.029 B2sR1e 0.029 B2tD1l 0.029 B2vR1n 0.029 C1aD2s 0.029 C1cD2p 0.029 C1dH1g 0.029 C1eR1m 0.029 C1nR1g 0.029 C1qC2m 0.029 C1sD1y 0.029 C1sR1f 0.029 C1vD1k 0.029 C1vD2g 0.029 C1yH2t 0.029 C2aD2v 0.029 C2eD2v 0.029 C2hR1e 0.029 C2kH1s 0.029 C2nD1n 0.029 C2qR2n 0.029 C2qR2r 0.029 C2rD1t 0.029 C2sR2l 0.029 C2tH1f 0.029 D1iH1l 0.029 D1kR1e 0.029 D1mH2p 0.029 D1mH2v 0.029 D1nR2k 0.029 D1nR2n 0.029 D1nR2r 0.029 D1rD2k 0.029 D1tR2v 0.029 D2iH1l 0.029 D2pH2h 0.029 D2tR2e 0.029 D2vH2e 0.029 H1lR1s 0.029 H1mR1e 0.029 H1sH2g 0.029 H1sH2k 0.029 H2dR1v 0.029 H2qR2n 0.029 H2qR2r 0.029 H2sR1k 0.029 B1aH1i 0.028 B1cC2i 0.028 B1eC1p 0.028 B1fD1m 0.028 B1kH2m 0.028 B1lB2h 0.028 B1lC1q 0.028 B1lH2i 0.028 B1mB2n 0.028 B1mD2d 0.028 B1mR2r 0.028 B1nD1c 0.028 B1pH2q 0.028 B1qC2m 0.028 B1rB2i 0.028 B1rC2q 0.028 B1sD1a 0.028 B1sD2s 0.028 B1sH1f 0.028 B1sH1n 0.028 B1tR2t 0.028 B1vC2a 0.028 B2aC2m 0.028 B2aR1v 0.028 B2cC1d 0.028 B2cD1d 0.028 B2dC2h 0.028

B2fC1f 0.028 B2hC2d 0.028 B2hH1e 0.028 B2hH2d 0.028 B2kR2f 0.028 B2mD1d 0.028 B2mD2l 0.028 B2nC2h 0.028 B2pD1k 0.028 B2qD1q 0.028 B2tC1y 0.028 B2tR2i 0.028 B2yD2t 0.028 C1dD2t 0.028 C1fD1d 0.028 C1gD2d 0.028 C1iR1x 0.028 C1kD2d 0.028 C1lR1t 0.028 C1nC2v 0.028 C1pD1v 0.028 C1pH2v 0.028 C1qC2k 0.028 C1qC2v 0.028 C1qD1f 0.028 C1qH2k 0.028 C1rC2i 0.028 C1rR1p 0.028 C1rR2q 0.028 C1sD2s 0.028 C1vC2e 0.028 C1yC2d 0.028 C1yD2d 0.028 C1yH2d 0.028 C1yR1x 0.028 C1yR2p 0.028 C2cD1d 0.028 C2cD1s 0.028 C2dR1v 0.028 C2fH1s 0.028 C2fR2l 0.028 C2hH1e 0.028 C2nR1v 0.028 C2pD1m 0.028 C2rD1l 0.028 C2sR1k 0.028 C2vD2h 0.028 C2yD1v 0.028 D1aH2h 0.028 D1aR1e 0.028 D1dH1l 0.028 D1dH2c 0.028 D1fR2s 0.028 D1hR2p 0.028 D1iH1q 0.028 D1kD2n 0.028 D1lH2r 0.028 D1lR2i 0.028 D1qH1d 0.028 D1sH2c 0.028 D1sH2n 0.028 D2dR1a 0.028 D2iR2l 0.028 D2lH1r 0.028 D2nR1t 0.028 D2pH1d 0.028 D2pH1i 0.028 D2sR2e 0.028 D2yR1x 0.028 H1eR1i 0.028 H1lR2v 0.028 H1rR2q 0.028 H1tR1r 0.028 H1vH2v 0.028 H2eR2d 0.028 H2nR1v 0.028 B1aC1q 0.027 B1aH2q 0.027 B1cB2i 0.027 B1cB2q 0.027 B1cD2v 0.027 B1dD1y 0.027 B1hD1d 0.027 B1lH2a 0.027 B1pC2c 0.027 B1pD1d 0.027 B1pH2c 0.027 B1rC2f 0.027 B1sC2e 0.027 B2cC1p 0.027 B2cD1a 0.027 B2eC1p 0.027 B2gC2i 0.027 B2hD1t 0.027 B2hD2n 0.027 B2iC2y 0.027 B2lH1v 0.027 B2pH1s 0.027 B2pR1k 0.027 B2sR2x 0.027 B2yH2n 0.027 C1dC2l 0.027 C1dD1v 0.027 C1eD1p 0.027 C1hD1r 0.027 C1iD1k 0.027 C1mD2n 0.027 C1pC2f 0.027 C1pC2n 0.027 C1pD2d 0.027 C1qC2t 0.027 C1rC2k 0.027 C1rH2k 0.027 C1tR2i 0.027 C1vH2e 0.027 C2aR2s 0.027 C2fD1f 0.027 C2kD1p 0.027 C2lD1d 0.027 C2pD1v 0.027 C2rR2l 0.027 C2sH1s 0.027 C2sR2f 0.027 C2yD2v 0.027 D1kR2l 0.027 D1mH2f 0.027 D1pH2k 0.027 D1tH1k 0.027 D2aR2p 0.027 D2dR1t 0.027 D2gR2s 0.027 D2rR1m 0.027 H1lR1t 0.027 H1qR1s 0.027 H1sR1d 0.027 H1tR1l 0.027 H1vR2x 0.027 H2aR2l 0.027 H2qR1l 0.027 B1aD1r 0.026 B1cC2p 0.026 B1eD1a 0.026 B1kC1d 0.026 B1kR1e 0.026 B1lH2q 0.026 B1pD1n 0.026 B1rB2q 0.026 B1vD1d 0.026 B1vD2s 0.026 B1yB2v 0.026 B1yD1n 0.026 B2dR1v 0.026 B2fD1m 0.026 B2iH2n 0.026 B2lC1p 0.026 B2lD1d 0.026 B2nD2l 0.026 B2yC2n 0.026 C1dD1q 0.026 C1eH2e 0.026

C1kD2h 0.026 C1mH2t 0.026 C1nD1c 0.026 C1qR1a 0.026 C1vD1d 0.026 C1vD1p 0.026 C1vD2s 0.026 C1yD2k 0.026 C2lD1m 0.026 C2nD1s 0.026 C2qD1p 0.026 C2qR2d 0.026 C2qR2q 0.026 C2rR1l 0.026 C2rR2k 0.026 C2rR2n 0.026 C2rR2t 0.026 C2tR2v 0.026 C2vR1f 0.026 D1dH1q 0.026 D1eH2i 0.026 D1fD2l 0.026 D1fH2f 0.026 D1fH2p 0.026 D1lD2d 0.026 D1pD2k 0.026 D1rR2v 0.026 D1sH2l 0.026 D1vH2y 0.026 D2eH1q 0.026 D2eR1n 0.026 D2fR2a 0.026 D2kR1f 0.026 D2lH2t 0.026 D2mR1s 0.026 D2nH2q 0.026 D2qH2h 0.026 D2sH1v 0.026 D2vH2a 0.026 H1dR1n 0.026 H1fR1d 0.026 H1kR1e 0.026 H1sR2f 0.026 H2fR2v 0.026 H2qR2d 0.026 H2qR2q 0.026 H2rR2l 0.026 R1fR2v 0.026 R1nR2v 0.026 B1eC2q 0.025 B1eD2f 0.025 B1iR2e 0.025 B1kC2m 0.025 B1kR1f 0.025 B1lB2y 0.025 B1lC2i 0.025 B1lD2y 0.025 B1lR1t 0.025 B1nD1t 0.025 B1pD1q 0.025 B1rH2f 0.025 B1rR1q 0.025 B1sC1d 0.025 B1sD1h 0.025 B1sD1p 0.025 B1sR1s 0.025 B1tB2n 0.025 B1tC1a 0.025 B1tD1n 0.025 B1tH2t 0.025 B1tR2d 0.025 B1vD1l 0.025 B1yD1l 0.025 B2aR1k 0.025 B2dD1s 0.025 B2dD1v 0.025 B2fD1f 0.025 B2gH2n 0.025 B2iC2n 0.025 B2iD1c 0.025 B2iH2t 0.025 B2iH2y 0.025 B2kC2k 0.025 B2kH2k 0.025 B2lH2n 0.025 B2nD1v 0.025 B2pH1c 0.025 B2pH2v 0.025 B2qR1l 0.025 B2rC1i 0.025 B2rH1s 0.025 B2rR1k 0.025 B2tD1v 0.025 B2yC2d 0.025 B2yH2d 0.025 C1aD1n 0.025 C1cD1n 0.025 C1dH2l 0.025 C1gH1d 0.025 C1iC2p 0.025 C1iD2i 0.025 C1kR2l 0.025 C1lD2y 0.025 C1mR1e 0.025 C1pC2d 0.025 C1pC2s 0.025 C1pD1q 0.025 C1pH2d 0.025 C1pH2s 0.025 C1qH2i 0.025 C1rC2s 0.025 C1sD1p 0.025 C1tC2a 0.025 C1tD2t 0.025 C1tH2h 0.025 C1vR2p 0.025 C2aR1n 0.025 C2dD2v 0.025 C2fD2i 0.025 C2kD2i 0.025 C2kR1s 0.025 C2lD1a 0.025 C2lD1f 0.025 C2pD1f 0.025 C2qD2r 0.025 C2qR1l 0.025 C2rD1v 0.025 C2rD2c 0.025 C2sD2h 0.025 C2tD1i 0.025 C2tR1p 0.025 C2tR1t 0.025 C2vR2l 0.025 C2yD1q 0.025 D1cR1a 0.025 D1cR2e 0.025 D1dH2l 0.025 D1hR1p 0.025 D1kD2h 0.025 D1kH1f 0.025 D1kR1k 0.025 D1lR1l 0.025 D1lR2t 0.025 D1mH2l 0.025 D1pD2v 0.025 D1tH2v 0.025 D1vH2r 0.025 D2cH2r 0.025 D2dH1p 0.025 D2eH1r 0.025 D2hH2s 0.025 D2iH2f 0.025 D2iH2k 0.025 D2iR1k 0.025 D2rR2t 0.025 D2vH2d 0.025 D2vH2y 0.025 D2vR1v 0.025 D2yR1a 0.025 D2yR1p 0.025

H1fR1k 0.025 H1kR2x 0.025 H1lH2i 0.025 H1nR1k 0.025 H1nR2l 0.025 H1vR2g 0.025 H2kR1s 0.025 H2rR1l 0.025 H2rR2k 0.025 H2rR2n 0.025 H2rR2t 0.025 H2tR1l 0.025 H2tR2k 0.025 H2tR2n 0.025 H2tR2t 0.025 R1aR2d 0.025 B1cD1i 0.024 B1dB2n 0.024 B1dB2t 0.024 B1dD1h 0.024 B1dD1m 0.024 B1eC2t 0.024 B1eD1e 0.024 B1eD1n 0.024 B1hB2g 0.024 B1hD1r 0.024 B1lC2q 0.024 B1pR1f 0.024 B1qR1s 0.024 B1tC2d 0.024 B1tH2d 0.024 B1yB2s 0.024 B2aR2m 0.024 B2cC2e 0.024 B2cH2e 0.024 B2fD1r 0.024 B2iH1v 0.024 B2kR1t 0.024 B2lC2n 0.024 B2lH2t 0.024 B2pC2m 0.024 B2pD1t 0.024 B2pD2h 0.024 B2qR1e 0.024 B2sH1f 0.024 B2vC2v 0.024 B2vH1s 0.024 C1cH1r 0.024 C1dH2d 0.024 C1dR1g 0.024 C1eD1i 0.024 C1eD2q 0.024 C1eR2d 0.024 C1iD1s 0.024 C1iR1p 0.024 C1mR2r 0.024 C1nD2l 0.024 C1nH2v 0.024 C1pD1i 0.024 C1qH2v 0.024 C1rH1i 0.024 C1sD2k 0.024 C2aD1s 0.024 C2aH1v 0.024 C2eD1h 0.024 C2qD2n 0.024 C2vR2f 0.024 D1hH2e 0.024 D1iH1g 0.024 D1qR1v 0.024 D1rH2v 0.024 D1tH2q 0.024 D2aR1v 0.024 D2eR1r 0.024 D2hH2v 0.024 D2kR2f 0.024 D2rH2p 0.024 H1eH2q 0.024 H1iR1p 0.024 H1kH2s 0.024 H1pR1e 0.024 H1rR1q 0.024 H2aR2s 0.024 H2dR1l 0.024 H2sR1s 0.024 H2sR2v 0.024 H2tR1e 0.024 R1lR2a 0.024 R1nR2x 0.024 R1sR2r 0.024 R1vR2s 0.024 B1aC2q 0.023 B1dC1f 0.023 B1dC2a 0.023 B1fD2i 0.023 B1hD2p 0.023 B1iC1f 0.023 B1iD1m 0.023 B1iH2a 0.023 B1iR1r 0.023 B1kB2h 0.023 B1kC1l 0.023 B1kC1t 0.023 B1kC2k 0.023 B1kH2k 0.023 B1kH2r 0.023 B1lD2q 0.023 B1pR1e 0.023 B1qB2a 0.023 B1qB2y 0.023 B1qH2q 0.023 B1qR2v 0.023 B1rB2f 0.023 B1rD1y 0.023 B1vC1m 0.023 B1vD2m 0.023 B1vH2d 0.023 B1vH2p 0.023 B1yC2v 0.023 B1yD1v 0.023 B2aD1i 0.023 B2aD2e 0.023 B2aR1y 0.023 B2dC1v 0.023 B2eC1l 0.023 B2eR2s 0.023 B2fH1s 0.023 B2fR2l 0.023 B2hC2t 0.023 B2hH2a 0.023 B2iD2d 0.023 B2iR1p 0.023 B2kC2h 0.023 B2kD1l 0.023 B2lH1p 0.023 B2mC1r 0.023 B2nC1v 0.023 B2pH1t 0.023 B2rC2f 0.023 B2sR2a 0.023 B2vC1y 0.023 B2vR1k 0.023 C1cC2g 0.023 C1cH2g 0.023 C1cR1r 0.023 C1eC2c 0.023 C1eH2c 0.023 C1kC2k 0.023 C1kH1f 0.023 C1kH1n 0.023 C1kH2k 0.023 C1kH2r 0.023 C1kR1k 0.023 C1lC2y 0.023 C1lH2h 0.023 C1vC2d 0.023 C1vH2d 0.023 C1yC2t 0.023 C1yD1v 0.023 C1yR1g 0.023

C2aD2w 0.023 C2fR2v 0.023 C2gD1c 0.023 C2iH1l 0.023 C2kR1a 0.023 C2rD1p 0.023 C2tD2i 0.023 C2yD2t 0.023 D1cH2g 0.023 D1eD2c 0.023 D1fH2l 0.023 D1hD2s 0.023 D1hR1g 0.023 D1iR1d 0.023 D1mR1d 0.023 D1rH1i 0.023 D2gH2m 0.023 H1pR2r 0.023 H1vR2i 0.023 H2dR1a 0.023 H2iR1p 0.023 H2kR1a 0.023 R1dR2v 0.023 R1sR2x 0.023 B1cR1e 0.022 B1dC1i 0.022 B1eB2m 0.022 B1eC2c 0.022 B1eD1r 0.022 B1eH2c 0.022 B1iC1i 0.022 B1kC2r 0.022 B1mC1q 0.022 B1mC2s 0.022 B1mH2s 0.022 B1rC1k 0.022 B1rH2r 0.022 B1sB2g 0.022 B1sB2k 0.022 B1sH2r 0.022 B1tD1l 0.022 B1vB2r 0.022 B1yC2s 0.022 B1yD2l 0.022 B1yH2s 0.022 B2aR2r 0.022 B2dD2p 0.022 B2dR2k 0.022 B2eH2m 0.022 B2eH2n 0.022 B2fR1k 0.022 B2gC2n 0.022 B2hC1s 0.022 B2iH1q 0.022 B2kH2s 0.022 B2nR1x 0.022 B2pC1q 0.022 B2tR2r 0.022 C1aC2h 0.022 C1aD1e 0.022 C1aR2s 0.022 C1dD1d 0.022 C1eD1y 0.022 C1iR1e 0.022 C1kC2r 0.022 C1lD1i 0.022 C1mC2a 0.022 C1nD1t 0.022 C1qD2v 0.022 C1qD2y 0.022 C1sR2v 0.022 C1tD1k 0.022 C1tD1n 0.022 C1vR2k 0.022 C1yD1q 0.022 C1yD2l 0.022 C1yR2g 0.022 C2dR1l 0.022 C2eD1m 0.022 C2eD1s 0.022 C2fD2a 0.022 C2hD1k 0.022 C2hD2p 0.022 C2nR2k 0.022 C2qD1t 0.022 D1aH2l 0.022 D1dD2d 0.022 D1dD2h 0.022 D1iD2e 0.022 D1iH2f 0.022 D1kD2i 0.022 D1mH2e 0.022 D1pH1q 0.022 D1sD2s 0.022 D1sH1g 0.022 D1tD2v 0.022 D1tD2y 0.022 D2aH2f 0.022 D2aH2s 0.022 D2aR2i 0.022 D2kH2i 0.022 D2lH1f 0.022 D2lH1n 0.022 D2qR2n 0.022 D2tH1t 0.022 H1cR1e 0.022 H1gR2h 0.022 H1iR1e 0.022 H1sR1x 0.022 H1sR2v 0.022 H2aR1n 0.022 H2dR2q 0.022 H2hR1e 0.022 H2nR2k 0.022 H2tR2q 0.022 H2vR1f 0.022 B1aC2h 0.021 B1cB2t 0.021 B1cD1v 0.021 B1eB2f 0.021 B1eD1y 0.021 B1fC1e 0.021 B1fR2v 0.021 B1iH2i 0.021 B1mB2s 0.021 B1pD2y 0.021 B1rB2r 0.021 B1rC2r 0.021 B1sC2r 0.021 B1sD1r 0.021 B1tR1q 0.021 B1vC1y 0.021 B1vR2t 0.021 B1yB2l 0.021 B1yH2v 0.021 B2aR2t 0.021 B2cC2r 0.021 B2cH2r 0.021 B2dD2q 0.021 B2dH1a 0.021 B2dH2h 0.021 B2eC2n 0.021 B2iC1q 0.021 B2lD2h 0.021 B2lR1f 0.021 B2nC2y 0.021 B2nH1p 0.021 B2nH2h 0.021 B2nR2k 0.021 B2rC1s 0.021 B2rC2c 0.021 B2rH2c 0.021 B2rH2f 0.021 B2sC2h 0.021 B2tC2y 0.021 B2tD2q 0.021 B2vD1k 0.021 B2vH2i 0.021 B2wC1a 0.021 C1dC2e 0.021

C1dH1n 0.021 C1dR2f 0.021 C1eH1c 0.021 C1iD1r 0.021 C1lH2y 0.021 C1mC2v 0.021 C1pH2m 0.021 C1qR1v 0.021 C1rD1v 0.021 C1tC2d 0.021 C1tH1p 0.021 C1tH2d 0.021 C1tH2t 0.021 C1vR1l 0.021 C2dD1q 0.021 C2dH1p 0.021 C2eD1e 0.021 C2eD1f 0.021 C2hD2a 0.021 C2kD1n 0.021 C2lD1t 0.021 C2qR2a 0.021 C2qR2s 0.021 C2vD1k 0.021 C2vD1l 0.021 C2vH2i 0.021 D1cH2n 0.021 D1eD2v 0.021 D1eR2d 0.021 D1gD2d 0.021 D1kH1a 0.021 D1kH2p 0.021 D1nH1v 0.021 D1nH2k 0.021 D1pH1h 0.021 D1pH1y 0.021 D1qH2d 0.021 D1qR2i 0.021 D1tR2i 0.021 D2aR2s 0.021 D2dR2e 0.021 D2fH2i 0.021 D2lR2f 0.021 D2nR2e 0.021 D2pR2h 0.021 D2rR2d 0.021 D2rR2q 0.021 D2sR2f 0.021 D2tH2y 0.021 D2vR2e 0.021 D2wH2a 0.021 H1aR2m 0.021 H1dR2f 0.021 H1dR2r 0.021 H1fR1s 0.021 H1fR2v 0.021 H1nR1s 0.021 H1qR1v 0.021 H1tH2t 0.021 H1tR2x 0.021 H1vH2a 0.021 H1vR2e 0.021 H2iR2l 0.021 H2qR1q 0.021 H2qR2a 0.021 H2qR2s 0.021 R1tR2l 0.021 B1aC2w 0.020 B1aH2w 0.020 B1aR2m 0.020 B1cR2r 0.020 B1dC1d 0.020 B1dD1f 0.020 B1fC2i 0.020 B1iC2i 0.020 B1iD1a 0.020 B1iD2v 0.020 B1lD1n 0.020 B1lD2t 0.020 B1mH2p 0.020 B1qC2q 0.020 B1rD1h 0.020 B1sC2s 0.020 B1sR1v 0.020 B1tC1y 0.020 B1tD1v 0.020 B1tD2k 0.020 B1vD2d 0.020 B2aR1l 0.020 B2eH1q 0.020 B2fD2i 0.020 B2fH1k 0.020 B2fH2r 0.020 B2gC1v 0.020 B2hD1p 0.020 B2hD1s 0.020 B2hD2e 0.020 B2kR1v 0.020 B2lD1t 0.020 B2mD1e 0.020 B2mR1x 0.020 B2nC1t 0.020 B2sH1k 0.020 B2vH1k 0.020 B2wD2a 0.020 B2yC1s 0.020 B2yC2s 0.020 B2yH2s 0.020 C1cH1p 0.020 C1cH2t 0.020 C1cR2r 0.020 C1dH2e 0.020 C1eD2e 0.020 C1eH1e 0.020 C1fD2i 0.020 C1iD2v 0.020 C1iH1e 0.020 C1kD1a 0.020 C1lR2e 0.020 C1mC2t 0.020 C1mD2e 0.020 C1mH2a 0.020 C1nH2p 0.020 C1sH2s 0.020 C1tH2r 0.020 C1tR2d 0.020 C1tR2r 0.020 C1vR1g 0.020 C2dR1a 0.020 C2dR2q 0.020 C2fD2v 0.020 C2hD1s 0.020 C2lH1f 0.020 C2nD1c 0.020 C2qH1e 0.020 C2rR2v 0.020 C2sD1n 0.020 C2sD2g 0.020 C2wD2a 0.020 D1eH1c 0.020 D1eH2e 0.020 D1fH2e 0.020 D1kR2v 0.020 D1mH1k 0.020 D1nH2s 0.020 D1qR2e 0.020 D1rH1a 0.020 D1sD2i 0.020 D1sR1s 0.020 D1tH2l 0.020 D2aH1s 0.020 D2aH2w 0.020 D2aR1y 0.020 D2gH2t 0.020 D2iH1k 0.020 D2pH1h 0.020 D2pR1h 0.020 D2pR1q 0.020 D2qH1t 0.020 D2sR2g 0.020

D2vH2f 0.020 H1aR1y 0.020 H1cR2r 0.020 H1iR2r 0.020 H1lR2i 0.020 H1qR2x 0.020 H2sR1p 0.020 H2vR2f 0.020 B1aR1n 0.019 B1dC2h 0.019 B1dR2x 0.019 B1fB2i 0.019 B1fD1n 0.019 B1gB2n 0.019 B1iB2g 0.019 B1iB2i 0.019 B1iH1g 0.019 B1kC2a 0.019 B1lD1i 0.019 B1lD2s 0.019 B1lR2i 0.019 B1mC2l 0.019 B1mC2p 0.019 B1nC1f 0.019 B1pB2f 0.019 B1qC1s 0.019 B1qC2y 0.019 B1rH1v 0.019 B1sH2q 0.019 B1tD2f 0.019 B1vC1v 0.019 B1yC2l 0.019 B2aC2v 0.019 B2aD1n 0.019 B2aR1f 0.019 B2dD1c 0.019 B2dH2g 0.019 B2eC2m 0.019 B2fC2r 0.019 B2hC1d 0.019 B2hC2l 0.019 B2iC2k 0.019 B2iH2k 0.019 B2lD1r 0.019 B2lH1f 0.019 B2lR2l 0.019 B2lR2r 0.019 B2nD1c 0.019 B2nH2y 0.019 B2nR1e 0.019 B2pH2i 0.019 B2qR1q 0.019 B2rH1i 0.019 B2sC1s 0.019 B2sC2s 0.019 B2tD1r 0.019 B2tH2y 0.019 B2vD2e 0.019 B2vD2y 0.019 C1aD1v 0.019 C1eD1h 0.019 C1fD1p 0.019 C1fH2i 0.019 C1iH1g 0.019 C1kH2q 0.019 C1nC2p 0.019 C1nH1s 0.019 C1pH1f 0.019 C1pR1v 0.019 C1qD1k 0.019 C1qD1n 0.019 C1qD2q 0.019 C1rH2n 0.019 C1sD2y 0.019 C1sH2q 0.019 C1tC2r 0.019 C2aR1s 0.019 C2kD1v 0.019 C2lD1i 0.019 C2nR2q 0.019 C2pD1k 0.019 C2qR1q 0.019 C2sH1d 0.019 C2tR2i 0.019 C2vH1a 0.019 D1aD2t 0.019 D1dR1a 0.019 D1gD2i 0.019 D1kH2i 0.019 D1mD2g 0.019 D1pR1n 0.019 D1sR2v 0.019 D1vH2k 0.019 D1vR2k 0.019 D1vR2t 0.019 D2aR1k 0.019 D2dR2t 0.019 D2kR2v 0.019 D2mR1x 0.019 D2qR2q 0.019 H1sH2i 0.019 H1vR1r 0.019 H1yH2p 0.019 H2fR2e 0.019 H2nR2q 0.019 H2pR1d 0.019 H2pR2l 0.019 H2rR2v 0.019 H2tR1q 0.019 H2vR2l 0.019 R1nR2g 0.019 B1aC1e 0.018 B1cC1v 0.018 B1eD2t 0.018 B1fD1i 0.018 B1kC1e 0.018 B1kD2y 0.018 B1mD1k 0.018 B1mH2l 0.018 B1nC1i 0.018 B1nD2r 0.018 B1sC1a 0.018 B1yH2l 0.018 B2cH1g 0.018 B2dC1l 0.018 B2eR1f 0.018 B2fR2v 0.018 B2hH2l 0.018 B2iD2g 0.018 B2iR1k 0.018 B2kR2i 0.018 B2nD2m 0.018 B2nH1t 0.018 B2pH1h 0.018 B2pH1l 0.018 B2pH1y 0.018 B2qR2s 0.018 C1aD1k 0.018 C1eH2n 0.018 C1gH1v 0.018 C1hH1g 0.018 C1mH2v 0.018 C1nD1k 0.018 C1pR2s 0.018 C1rC2n 0.018 C1sH2v 0.018 C2aD2y 0.018 C2cH1g 0.018 C2dD2s 0.018 C2eD2n 0.018 C2iD2f 0.018 C2mD1r 0.018 C2nH1e 0.018 C2pH1y 0.018 C2pR2l 0.018 C2sD2y 0.018 C2sR1v 0.018 C2yH1g 0.018 D1mH1d 0.018 D1pH2q 0.018

D1qR2k 0.018 D1qR2n 0.018 D1qR2t 0.018 D1tR2k 0.018 D1vH1g 0.018 D2lH1k 0.018 D2lR1t 0.018 D2yH2s 0.018 H1eH2n 0.018 H1fH2l 0.018 H1gH2c 0.018 H1gH2y 0.018 H1lR2a 0.018 H1pR1k 0.018 H1rR1n 0.018 H1vH2q 0.018 H2dR1q 0.018 H2sR2i 0.018 B1dB2y 0.017 B1eC1f 0.017 B1fD1l 0.017 B1fD2q 0.017 B1iC1p 0.017 B1kB2a 0.017 B1kR1s 0.017 B1lC1y 0.017 B1lC2a 0.017 B1mD2s 0.017 B1nC1d 0.017 B1pD1v 0.017 B1qH2y 0.017 B1rC2m 0.017 B1rD2n 0.017 B1sC1e 0.017 B1tC2f 0.017 B1tC2t 0.017 B1vC2f 0.017 B1vC2k 0.017 B1vH2k 0.017 B1vR2q 0.017 B2dD2m 0.017 B2dR1a 0.017 B2fH2i 0.017 B2fH2p 0.017 B2gR2k 0.017 B2hR2x 0.017 B2iC2t 0.017 B2kC1v 0.017 B2kH2h 0.017 B2mR1a 0.017 B2nC1r 0.017 B2nH1e 0.017 B2nR2q 0.017 B2pC2p 0.017 B2pH2a 0.017 B2sH1d 0.017 B2sH2q 0.017 B2tD2s 0.017 B2tH2n 0.017 B2vC1v 0.017 B2vR1x 0.017 B2yC1d 0.017 B2yD1s 0.017 C1aR2k 0.017 C1aR2n 0.017 C1dC2k 0.017 C1dC2v 0.017 C1dH2k 0.017 C1dR2a 0.017 C1eC2n 0.017 C1eH2t 0.017 C1eR2s 0.017 C1fC2i 0.017 C1kC2q 0.017 C1kD2v 0.017 C1lD2n 0.017 C1nD1m 0.017 C1pC2e 0.017 C1rC2d 0.017 C1rH1l 0.017 C1tC2p 0.017 C1tH1e 0.017 C1vH1e 0.017 C1vR1p 0.017 C1yD2s 0.017 C2dR1q 0.017 C2iD1k 0.017 C2iH1s 0.017 C2iH2f 0.017 C2iR2l 0.017 C2lD2i 0.017 C2rD2r 0.017 C2rH1e 0.017 D1eH2m 0.017 D1gD2n 0.017 D1iH2l 0.017 D1kH2v 0.017 D1rR1n 0.017 D1vR1e 0.017 D2lH2i 0.017 D2lR2a 0.017 D2mR1r 0.017 D2nH1r 0.017 D2nH2e 0.017 D2nH2p 0.017 D2pR1n 0.017 D2yH2v 0.017 H1eH2h 0.017 H1fR2x 0.017 H1kR1s 0.017 H1lR2t 0.017 R1aR2m 0.017 B1dC2t 0.016 B1eD1k 0.016 B1gB2w 0.016 B1gD2w 0.016 B1gH1d 0.016 B1iD2t 0.016 B1lC2d 0.016 B1lD2r 0.016 B1lR2n 0.016 B1lR2t 0.016 B1pD1m 0.016 B1qC1y 0.016 B1rH1q 0.016 B1sC2q 0.016 B1sC2y 0.016 B1sD2g 0.016 B1sR2k 0.016 B1tB2f 0.016 B1tB2s 0.016 B1tD1c 0.016 B1tH2f 0.016 B1vD2k 0.016 B1wC1a 0.016 B2aH1f 0.016 B2aH1n 0.016 B2eC2h 0.016 B2eH1a 0.016 B2fC2i 0.016 B2fC2p 0.016 B2fD1v 0.016 B2fD2v 0.016 B2fH2q 0.016 B2gD1v 0.016 B2hD1r 0.016 B2iC1s 0.016 B2lC1e 0.016 B2lH1e 0.016 B2nH2t 0.016 B2pR1q 0.016 B2pR1t 0.016 B2pR2v 0.016 B2qD2k 0.016 B2rD2l 0.016 B2rH1e 0.016 B2sD1v 0.016 B2sR1v 0.016 B2tC1e 0.016 B2tC2n 0.016

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B2tR2x 0.016 B2vR1v 0.016 B2wC1g 0.016 C1aD1w 0.016 C1aR1e 0.016 C1dD1p 0.016 C1eC2d 0.016 C1eH2a 0.016 C1eH2d 0.016 C1fD1n 0.016 C1fD2v 0.016 C1gD2w 0.016 C1hR1g 0.016 C1iD2t 0.016 C1lD1r 0.016 C1mC2l 0.016 C1mD1k 0.016 C1nD1s 0.016 C1pD1m 0.016 C1pH2q 0.016 C1qD2m 0.016 C1qR1l 0.016 C1qR2a 0.016 C1qR2e 0.016 C1qR2k 0.016 C1qR2n 0.016 C1qR2t 0.016 C1sC2q 0.016 C1sR2i 0.016 C1tD2f 0.016 C1tD2k 0.016 C1vD2f 0.016 C1wD2g 0.016 C1yC2e 0.016 C2fR2e 0.016 C2hD1r 0.016 C2iD1a 0.016 C2kD2q 0.016 C2lD2k 0.016 C2sH2h 0.016 C2tD1d 0.016 C2tD2l 0.016 C2tR1l 0.016 C2tR2e 0.016 C2tR2n 0.016 C2tR2t 0.016 C2yR1g 0.016 D1aR1v 0.016 D1dD2g 0.016 D1dD2r 0.016 D1fR2v 0.016 D1gH1d 0.016 D1lR2s 0.016 D1nD2a 0.016 D1pR1i 0.016 D1qD2f 0.016 D1sD2y 0.016 D1tD2t 0.016 D1vR2d 0.016 D1vR2q 0.016 D1wD2g 0.016 D2aR2k 0.016 D2dR2d 0.016 D2iH2l 0.016 D2iR2e 0.016 D2kH2a 0.016 D2mR1e 0.016 D2nR2d 0.016 D2nR2q 0.016 D2pR1x 0.016 D2qH2k 0.016 D2sH2l 0.016 D2yH2a 0.016 H1dR1t 0.016 H1eH2r 0.016 H1lH2q 0.016 H1qR2k 0.016 H2aR2x 0.016 H2dR1g 0.016 H2iR2v 0.016 H2pR2t 0.016 H2tR2s 0.016 H2yR1g 0.016 R1kR2i 0.016 R1sR2v 0.016 B1aD1q 0.015 B1cC1l 0.015 B1dC2r 0.015 B1dH1g 0.015 B1dH2i 0.015 B1dH2r 0.015 B1dR2a 0.015 B1eC1i 0.015 B1eD1p 0.015 B1kH2a 0.015 B1mD2r 0.015 B1nH2i 0.015 B1pC1d 0.015 B1pH2s 0.015 B1pR1h 0.015 B1qR2x 0.015 B1rC1d 0.015 B1sH1p 0.015 B1tD2l 0.015 B1vC1t 0.015 B1vC2s 0.015 B1vD1p 0.015 B1vH1e 0.015 B1vH2f 0.015 B1yD2r 0.015 B2aD1m 0.015 B2aD2p 0.015 B2aH1t 0.015 B2cR2g 0.015 B2fC1a 0.015 B2fC2q 0.015 B2gH1c 0.015 B2hC1r 0.015 B2hD2s 0.015 B2iD1g 0.015 B2iD1k 0.015 B2kD1c 0.015 B2kR2k 0.015 B2lC2v 0.015 B2lR1a 0.015 B2nD2n 0.015 B2nR1q 0.015 B2qR2a 0.015 B2rD2h 0.015 B2sC2q 0.015 B2sD2g 0.015 C1aC2k 0.015 C1aC2v 0.015 C1aH2k 0.015 C1dH1k 0.015 C1dR1s 0.015 C1dR2v 0.015 C1eD2n 0.015 C1fD2a 0.015 C1iR1g 0.015 C1kD1n 0.015 C1lD1c 0.015 C1lD2d 0.015 C1mH2l 0.015 C1pH2e 0.015 C1qC2e 0.015 C1qR1g 0.015 C1rC2h 0.015 C1rD1d 0.015 C1tD1c 0.015 C1vR1q 0.015 C1yH2e 0.015 C2aD1v 0.015 C2cR2g 0.015 C2dD2r 0.015 C2eD1r 0.015 C2eH1n 0.015 C2iH2v 0.015 C2kR2e 0.015 C2kR2n 0.015

C2lD1n 0.015 C2lR1t 0.015 C2nD2n 0.015 C2pD2n 0.015 C2pR2k 0.015 C2pR2t 0.015 C2qH1v 0.015 C2rD2h 0.015 C2vD1c 0.015 C2vD2m 0.015 D1dH2s 0.015 D1kD2l 0.015 D1kH2h 0.015 D1mH2q 0.015 D1rR1f 0.015 D1tD2s 0.015 D1tR1l 0.015 D2aH2a 0.015 D2dH1t 0.015 D2dR1x 0.015 D2eH1k 0.015 D2hH2r 0.015 D2iH1p 0.015 D2mH1r 0.015 D2rH2d 0.015 D2tH1l 0.015 H1fH2a 0.015 H1iR1g 0.015 H1pR1h 0.015 H1vH2t 0.015 H1vR1a 0.015 H2aR2f 0.015 H2cR2g 0.015 H2kR2e 0.015 H2kR2n 0.015 R1dR2x 0.015 R1yR2g 0.015 B1dD2a 0.014 B1dH1k 0.014 B1dR2v 0.014 B1eB2t 0.014 B1fR2e 0.014 B1iD1n 0.014 B1lC1c 0.014 B1lD2d 0.014 B1lH1t 0.014 B1nH2q 0.014 B1pC2i 0.014 B1pR2h 0.014 B1qC2e 0.014 B1qH2e 0.014 B1qH2n 0.014 B1qR2t 0.014 B1sC1m 0.014 B1sH2a 0.014 B1sH2y 0.014 B1vB2f 0.014 B1vB2s 0.014 B2dD1t 0.014 B2eC1m 0.014 B2eR1d 0.014 B2hC1e 0.014 B2kD1q 0.014 B2kD2m 0.014 B2lD2y 0.014 B2lR1t 0.014 B2pC1k 0.014 B2pR1n 0.014 B2pR2k 0.014 B2qH1l 0.014 B2sD2l 0.014 B2sR1a 0.014 B2tH1q 0.014 B2vC1t 0.014 C1aR2f 0.014 C1cC2s 0.014 C1cH2s 0.014 C1dD2a 0.014 C1dD2y 0.014 C1dH2q 0.014 C1fR2a 0.014 C1iH2t 0.014 C1kD1i 0.014 C1kD1k 0.014 C1mD1d 0.014 C1mD1s 0.014 C1nH1d 0.014 C1nH2r 0.014 C1qH1t 0.014 C1rH2p 0.014 C1sD1n 0.014 C1sH2y 0.014 C1tC2v 0.014 C1vR2s 0.014 C2aD1r 0.014 C2eR2f 0.014 C2iD1s 0.014 C2iD2e 0.014 C2iH1k 0.014 C2kD1q 0.014 C2qD1m 0.014 C2qH1l 0.014 C2rR1n 0.014 C2sD1c 0.014 C2sR2n 0.014 C2tD1p 0.014 C2yD1g 0.014 D1aD2s 0.014 D1aD2v 0.014 D1aR2r 0.014 D1cH2s 0.014 D1dH2q 0.014 D1eR2a 0.014 D1fH2q 0.014 D1iR2a 0.014 D1lD2a 0.014 D1mH2a 0.014 D1pD2s 0.014 D1qH2k 0.014 D1vH1p 0.014 D2dH1g 0.014 D2gH2n 0.014 D2lR1v 0.014 D2pR1i 0.014 D2qR2s 0.014 D2tH1q 0.014 H1aH2m 0.014 H1aH2q 0.014 H1dH2i 0.014 H1eH2f 0.014 H1kH2v 0.014 H1lR1e 0.014 H1nH2e 0.014 H1qR1r 0.014 H1rR1p 0.014 H2lR1t 0.014 H2sR1l 0.014 R1dR2n 0.014 R1dR2t 0.014 B1aH2i 0.013 B1aR2f 0.013 B1cC1q 0.013 B1dB2s 0.013 B1dC2i 0.013 B1dH2h 0.013 B1fC2d 0.013 B1fH2d 0.013 B1gC2y 0.013 B1gR1m 0.013 B1iB2d 0.013 B1iD1e 0.013 B1kC1y 0.013 B1kD1i 0.013 B1lD2f 0.013 B1nB2g 0.013 B1nC1r 0.013 B1nC2i 0.013 B1qC1c 0.013 B1qC2n 0.013 B1qH2t 0.013

B1sB2l 0.013 B1sD2m 0.013 B1sR2d 0.013 B1vC1q 0.013 B1vH2v 0.013 B1yH2r 0.013 B2aC1h 0.013 B2aD2n 0.013 B2eH1s 0.013 B2gC1c 0.013 B2hH2r 0.013 B2iC1g 0.013 B2kD2t 0.013 B2lH1k 0.013 B2nC2r 0.013 B2qH1p 0.013 B2qH1q 0.013 B2rR1n 0.013 B2sH2y 0.013 B2tC1q 0.013 B2tC2r 0.013 C1aD1s 0.013 C1aH2h 0.013 C1aH2l 0.013 C1cC2a 0.013 C1cD2l 0.013 C1dD2g 0.013 C1dR2p 0.013 C1hC2a 0.013 C1iC2d 0.013 C1iH2d 0.013 C1kD1l 0.013 C1kD2m 0.013 C1lD2f 0.013 C1nC2r 0.013 C1nD1p 0.013 C1qR2q 0.013 C1sD2m 0.013 C1sR2n 0.013 C1sR2t 0.013 C1sR2x 0.013 C1tR2x 0.013 C1vH1g 0.013 C1yC2r 0.013 C1yH2r 0.013 C2aD2a 0.013 C2hD2r 0.013 C2iD2l 0.013 C2pD2r 0.013 C2tD2m 0.013 C2tH1t 0.013 C2tR2d 0.013 C2tR2p 0.013 C2tR2q 0.013 C2yD1d 0.013 C2yD1s 0.013 C2yD2e 0.013 D1aR2i 0.013 D1hD2p 0.013 D1mD2q 0.013 D1nH1s 0.013 D1nH2l 0.013 D1nR1k 0.013 D1nR1p 0.013 D1rR1a 0.013 D1sH2h 0.013 D1tH1t 0.013 D1tR2r 0.013 D2dH2t 0.013 D2qH1v 0.013 H1kR2i 0.013 H1qR2q 0.013 H1rR2f 0.013 H2eR2f 0.013 H2rR1n 0.013 R1kR2x 0.013 B1aC1v 0.012 B1aC2y 0.012 B1aH1p 0.012 B1aR2v 0.012 B1cC2l 0.012 B1dD1a 0.012 B1dH2v 0.012 B1dR2p 0.012 B1eD1f 0.012 B1fD1a 0.012 B1fD2n 0.012 B1fD2p 0.012 B1iD1l 0.012 B1iD2d 0.012 B1kB2p 0.012 B1kD1e 0.012 B1lR1e 0.012 B1nB2q 0.012 B1nC2q 0.012 B1nD1a 0.012 B1pC1r 0.012 B1pC2f 0.012 B1qC1p 0.012 B1qD2n 0.012 B1qR2a 0.012 B1sD1l 0.012 B1vD2e 0.012 B2dC1a 0.012 B2eC2v 0.012 B2eD2y 0.012 B2hC2r 0.012 B2iD1d 0.012 B2iH1d 0.012 B2kH1r 0.012 B2kH1t 0.012 B2nD2f 0.012 B2nH1v 0.012 B2tC2f 0.012 B2yD1a 0.012 C1aD1t 0.012 C1dC2q 0.012 C1dH1d 0.012 C1dH2v 0.012 C1fH2n 0.012 C1hH2a 0.012 C1iD2d 0.012 C1kR1a 0.012 C1nD1r 0.012 C1pC2h 0.012 C1rC2p 0.012 C1rH1r 0.012 C1sD2a 0.012 C1sD2t 0.012 C1tD2e 0.012 C1tH1v 0.012 C1vH1v 0.012 C2cD1p 0.012 C2dD2f 0.012 C2fH1e 0.012 C2iH1d 0.012 C2iR2v 0.012 C2kR2d 0.012 C2lD2a 0.012 C2qD1d 0.012 C2qD1f 0.012 C2tH1a 0.012 C2tR1e 0.012 D1aH2s 0.012 D1cH2v 0.012 D1dD2v 0.012 D1iR2p 0.012 D1kD2m 0.012 D1kH2a 0.012 D1kH2l 0.012 D1kR2k 0.012 D1lR2a 0.012 D1nD2s 0.012 D1pD2y 0.012 D1pH2c 0.012 D1rH1n 0.012 D1vH2a 0.012 D2aH2n 0.012 D2eH2y 0.012 D2iR1r 0.012

D2qH1l 0.012 D2tR2a 0.012 H1aR2d 0.012 H1aR2q 0.012 H1dR1v 0.012 H1eR1f 0.012 H1nR1x 0.012 H1qR1e 0.012 H1sR1l 0.012 H1tR2l 0.012 H2kR2d 0.012 H2qR1g 0.012 H2sR2d 0.012 H2sR2q 0.012 R1dR2a 0.012 R1sR2i 0.012 B1aC1r 0.011 B1cH2l 0.011 B1dB2q 0.011 B1dC1m 0.011 B1dD2v 0.011 B1dR2i 0.011 B1kH2n 0.011 B1nD2a 0.011 B1nR2a 0.011 B1pC2h 0.011 B1qR1r 0.011 B1qR2q 0.011 B1rR1d 0.011 B1sD1e 0.011 B1tC2l 0.011 B1vC1p 0.011 B1vD2l 0.011 B2hC1g 0.011 B2lD2v 0.011 B2lR1v 0.011 B2mD1g 0.011 B2nD1e 0.011 B2nD1g 0.011 B2nH1l 0.011 B2pD2d 0.011 B2pD2y 0.011 B2pH1m 0.011 B2pR1i 0.011 B2qC1d 0.011 B2qD1d 0.011 B2qD1s 0.011 B2sR2t 0.011 B2tH1a 0.011 B2vR1p 0.011 B2yH2r 0.011 C1aD1m 0.011 C1aH1e 0.011 C1cH2a 0.011 C1eC2e 0.011 C1eD2i 0.011 C1fC2n 0.011 C1kD1v 0.011 C1kR2t 0.011 C1lC2s 0.011 C1mH2r 0.011 C1qD2r 0.011 C1rD2i 0.011 C1rH2e 0.011 C1sH1t 0.011 C1tD2l 0.011 C1tH2v 0.011 C1vD1t 0.011 C1vH1l 0.011 C1vH2p 0.011 C2aR2x 0.011 C2dR1g 0.011 C2kR1e 0.011 C2kR2p 0.011 C2lR2i 0.011 C2nD2a 0.011 C2nD2g 0.011 C2pD2i 0.011 C2rH1l 0.011 C2sR2q 0.011 C2vD1r 0.011 C2vR1l 0.011 C2vR2k 0.011 C2vR2t 0.011 C2yD2a 0.011 D1cD2l 0.011 D1dH2y 0.011 D1eH1l 0.011 D1iH2r 0.011 D1kR2e 0.011 D1mH1r 0.011 D1mR2a 0.011 D1nD2i 0.011 D1pR2i 0.011 D1rR2a 0.011 D1sH2y 0.011 D1sR2n 0.011 D1vH2l 0.011 D2aH2h 0.011 D2aR2e 0.011 D2gH2s 0.011 D2iH1r 0.011 D2kR1l 0.011 D2kR2t 0.011 D2mH2v 0.011 D2sH2i 0.011 D2sR1v 0.011 D2vR2s 0.011 H1dR2i 0.011 H1nR1e 0.011 H1qR1q 0.011 H2iR2x 0.011 H2kR1e 0.011 H2kR2p 0.011 H2mR1p 0.011 R1lR2v 0.011 R1pR2k 0.011 B1aC2i 0.010 B1cC1k 0.010 B1cD1k 0.010 B1dC1k 0.010 B1eC1t 0.010 B1gB2m 0.010 B1hD2a 0.010 B1iD2k 0.010 B1kC2n 0.010 B1kD1d 0.010 B1kR1a 0.010 B1kR2k 0.010 B1kR2n 0.010 B1kR2t 0.010 B1nB2p 0.010 B1nD1n 0.010 B1nH1a 0.010 B1pC1v 0.010 B1pD1s 0.010 B1qD2d 0.010 B1rB2v 0.010 B1rH2i 0.010 B1sB2e 0.010 B1tH2l 0.010 B1vB2g 0.010 B1vC2p 0.010 B2dC1f 0.010 B2dH1l 0.010 B2dH2f 0.010 B2eC1s 0.010 B2eH2s 0.010 B2fC2n 0.010 B2fH1a 0.010 B2fH2n 0.010 B2fH2t 0.010 B2kC2n 0.010 B2kD2s 0.010 B2kR1q 0.010 B2nC1f 0.010 B2nC2k 0.010 B2nH2f 0.010 B2nH2k 0.010 B2pC2s 0.010

B2tH2f 0.010 B2tR1x 0.010 B2yC2r 0.010 B2yD2r 0.010 C1aD2n 0.010 C1aR2h 0.010 C1cC2l 0.010 C1dC2a 0.010 C1iD2k 0.010 C1iH2p 0.010 C1kC2e 0.010 C1kD1q 0.010 C1kH2e 0.010 C1mC2r 0.010 C1nD2q 0.010 C1qR2r 0.010 C1vC2l 0.010 C1vC2p 0.010 C1vH1q 0.010 C1yD1s 0.010 C2aD1d 0.010 C2fD2k 0.010 C2lD1c 0.010 C2lD1s 0.010 D1iH1a 0.010 D1iH2q 0.010 D1mR1r 0.010 D1nR1s 0.010 D2aR2d 0.010 D2gR2m 0.010 D2kH2f 0.010 D2tR1d 0.010 H1kR1l 0.010 H1kR2t 0.010 H1lH2r 0.010 H1rR1d 0.010 H1sR2d 0.010 H2tR1d 0.010 H2tR2p 0.010 R1aR2k 0.010 R1eR2f 0.010 R1gR2m 0.010 R1kR2q 0.010 B1aD1n 0.009 B1aH2y 0.009 B1cC1s 0.009 B1cC2e 0.009 B1cH2e 0.009 B1dD1k 0.009 B1dD1l 0.009 B1dH1a 0.009 B1fB2k 0.009 B1fC2k 0.009 B1fC2v 0.009 B1fH2k 0.009 B1iB2k 0.009 B1kB2t 0.009 B1kC2d 0.009 B1kH2d 0.009 B1lC1t 0.009 B1nD1i 0.009 B1nR2p 0.009 B1pD2c 0.009 B1qB2p 0.009 B1qC2r 0.009 B1qH2r 0.009 B1qR1q 0.009 B1rC2t 0.009 B1sH2e 0.009 B1tD1p 0.009 B1tD2i 0.009 B1vB2l 0.009 B1vC1f 0.009 B1vD1m 0.009 B2dC1g 0.009 B2dC2g 0.009 B2dD2a 0.009 B2dH1q 0.009 B2eD1k 0.009 B2eH1k 0.009 B2gC1k 0.009 B2iD2i 0.009 B2kC1r 0.009 B2lD2q 0.009 B2nC1g 0.009 B2nC2t 0.009 B2nC2v 0.009 B2pC1v 0.009 B2pR1f 0.009 B2tH1s 0.009 B2vC1i 0.009 B2vD2n 0.009 B2yD1e 0.009 C1aD1i 0.009 C1aH2v 0.009 C1cH2l 0.009 C1dD1i 0.009 C1dD2q 0.009 C1eH2i 0.009 C1fD2n 0.009 C1iC2v 0.009 C1iD2g 0.009 C1pD1c 0.009 C1pD2c 0.009 C1rC2v 0.009 C1rD2k 0.009 C1rH2i 0.009 C1sR1r 0.009 C1vH2l 0.009 C2aD1q 0.009 C2gR1m 0.009 C2iD2a 0.009 C2kD2n 0.009 C2lD2q 0.009 C2mH1a 0.009 C2nH1p 0.009 C2pH1e 0.009 C2qH1a 0.009 C2rH1n 0.009 C2rH1q 0.009 C2vD2f 0.009 C2yD1r 0.009 D1aR1k 0.009 D1cD2a 0.009 D1cH2l 0.009 D1eH1n 0.009 D1fR2e 0.009 D1gH2y 0.009 D1iD2v 0.009 D1kH1t 0.009 D1kH2n 0.009 D1kR2q 0.009 D1lR1k 0.009 D1nR2v 0.009 D1pH1n 0.009 D1qH1l 0.009 D1rH2h 0.009 D1rH2r 0.009 D1rR2l 0.009 D1sR2x 0.009 D1vH1l 0.009 D2nH1v 0.009 D2nH2k 0.009 D2tR2l 0.009 H1aH2t 0.009 H1aH2v 0.009 H1nR1a 0.009 H1nR2r 0.009 H1pH2d 0.009 H1pH2n 0.009 H1pR1n 0.009 H1qH2r 0.009 H1rR1e 0.009 H1rR1t 0.009 H2aR1d 0.009 H2dR2l 0.009 H2gR1m 0.009 H2lR2i 0.009 H2sR1q 0.009 H2sR2r 0.009

R1sR2t 0.009 B1aD2v 0.008 B1cB2p 0.008 B1eD2s 0.008 B1fD2k 0.008 B1gH2y 0.008 B1iC2t 0.008 B1nD1e 0.008 B1nR1e 0.008 B1pB2l 0.008 B1pD1k 0.008 B1pR1n 0.008 B1qC1t 0.008 B1sB2t 0.008 B1sH2d 0.008 B1tC1f 0.008 B1tD2s 0.008 B1tR1p 0.008 B1vC1i 0.008 B2aD2c 0.008 B2aH1s 0.008 B2dR2a 0.008 B2eD1c 0.008 B2kC1e 0.008 B2lH2p 0.008 B2nC1s 0.008 B2pC1c 0.008 B2pR1v 0.008 B2rH1f 0.008 B2sD1r 0.008 B2sH1t 0.008 B2sR2d 0.008 B2tC1s 0.008 B2tD1m 0.008 B2tH2s 0.008 C1cD2s 0.008 C1dD1k 0.008 C1dR1l 0.008 C1dR2k 0.008 C1dR2n 0.008 C1eC2k 0.008 C1eC2t 0.008 C1eH2k 0.008 C1iC2t 0.008 C1nD1a 0.008 C1qR2s 0.008 C1rH2h 0.008 C1sR1e 0.008 C1sR1q 0.008 C1yD1r 0.008 C2aH1m 0.008 C2aR1i 0.008 C2dD1p 0.008 C2eD1c 0.008 C2lD1q 0.008 C2lD2m 0.008 C2lR2t 0.008 C2qD1i 0.008 C2rD1r 0.008 C2rD2y 0.008 C2rR2e 0.008 C2tR2s 0.008 C2vD1t 0.008 D1aR2t 0.008 D1fD2t 0.008 D1iR1e 0.008 D1kD2s 0.008 D1kH2t 0.008 D1mD2n 0.008 D1mR1e 0.008 D1nH2i 0.008 D1pD2q 0.008 D1pH2d 0.008 D1qH1q 0.008 D1rH2y 0.008 D1rR1t 0.008 D2gR1i 0.008 D2gR1m 0.008 D2iR1g 0.008 D2kH1t 0.008 D2kR2d 0.008 D2lR2k 0.008 D2lR2n 0.008 D2pR1s 0.008 D2pR2i 0.008 D2rH2i 0.008 D2yH2r 0.008 H1fR1p 0.008 H1gR2k 0.008 H1kH2q 0.008 H1mR2x 0.008 H1nH2r 0.008 H1pR2t 0.008 H1rR1k 0.008 H1sH2t 0.008 H2qR1p 0.008 H2rR2f 0.008 R1iR2x 0.008 B1aH1d 0.007 B1aH2v 0.007 B1cH2r 0.007 B1dC1p 0.007 B1eC1m 0.007 B1eD2k 0.007 B1eH2h 0.007 B1fB2s 0.007 B1gR1n 0.007 B1iB2s 0.007 B1kD2n 0.007 B1nB2d 0.007 B1nB2n 0.007 B1nD1v 0.007 B1nH1e 0.007 B1nH2t 0.007 B1pC1e 0.007 B1pD2d 0.007 B1qH1e 0.007 B1rC1y 0.007 B1sD2f 0.007 B1tC1i 0.007 B1tC1k 0.007 B1tC2e 0.007 B1tH2e 0.007 B2aH1m 0.007 B2eC1v 0.007 B2eH2v 0.007 B2eR1s 0.007 B2fR2r 0.007 B2gD1d 0.007 B2iC2e 0.007 B2iH2e 0.007 B2kR2s 0.007 B2lD1q 0.007 B2qD1i 0.007 B2rD1n 0.007 B2sH1r 0.007 B2yC1p 0.007 C1aR1t 0.007 C1dD1c 0.007 C1eC2s 0.007 C1eH2s 0.007 C1iD2e 0.007 C1kH1g 0.007 C1lD1t 0.007 C1nD1i 0.007 C1pR1i 0.007 C1pR1l 0.007 C1pR1m 0.007 C1sR2p 0.007 C2dD1f 0.007 C2dR2l 0.007 C2iD2s 0.007 C2qR1g 0.007 C2tH1v 0.007 D1cD2p 0.007 D1cH2e 0.007 D1eD2d 0.007 D1fH2d 0.007 D1kR1g 0.007 D1mH1g 0.007

D1nH2r 0.007 D1qH2p 0.007 D1sR1g 0.007 D1vD2s 0.007 D2dH1q 0.007 D2eH2f 0.007 D2eH2n 0.007 D2iH1g 0.007 D2mH2l 0.007 D2nH1q 0.007 D2nH2s 0.007 D2qH2a 0.007 D2qH2l 0.007 D2qR1d 0.007 D2sR2n 0.007 H1dR1l 0.007 H1dR2k 0.007 H1dR2n 0.007 H1pR1i 0.007 H1qR1p 0.007 H2aR1k 0.007 H2rR2e 0.007 B1cC2r 0.006 B1dC1c 0.006 B1dD1d 0.006 B1dD1q 0.006 B1dD2t 0.006 B1eH2q 0.006 B1fC1q 0.006 B1fH2v 0.006 B1gD2i 0.006 B1iD2l 0.006 B1kD2d 0.006 B1nC1p 0.006 B1nD1q 0.006 B1qB2f 0.006 B1qD2k 0.006 B1rD2v 0.006 B1rH2p 0.006 B1sC2f 0.006 B1tH1k 0.006 B1tH2i 0.006 B1vD1f 0.006 B1wD2p 0.006 B1yC1e 0.006 B2dR1d 0.006 B2eD1s 0.006 B2iD1n 0.006 B2iR1r 0.006 B2kR1a 0.006 B2lR1l 0.006 B2lR2k 0.006 B2lR2t 0.006 B2nD2e 0.006 B2nH2v 0.006 B2nR1d 0.006 B2qD1n 0.006 B2qR2v 0.006 B2rD2k 0.006 B2sC2d 0.006 B2sH2d 0.006 B2sR1q 0.006 B2tH2v 0.006 B2wD2p 0.006 C1aD1c 0.006 C1aD1f 0.006 C1dH2a 0.006 C1dH2n 0.006 C1eC2i 0.006 C1eR2l 0.006 C1fC2v 0.006 C1fD2k 0.006 C1gD2n 0.006 C1gR1n 0.006 C1iD2l 0.006 C1kD2r 0.006 C1nD1l 0.006 C1nH2n 0.006 C1nR1x 0.006 C1rD1n 0.006 C1sD2d 0.006 C1sD2r 0.006 C1sH1e 0.006 C1tR1k 0.006 C1vD1f 0.006 C1vD2i 0.006 C1vR1d 0.006 C2aD1h 0.006 C2eD2m 0.006 C2fD1k 0.006 C2fD2l 0.006 C2iD1n 0.006 C2kH1v 0.006 C2nD2e 0.006 C2pD1q 0.006 C2rD1n 0.006 C2tD2d 0.006 C2yD2r 0.006 D1aH1n 0.006 D1dH2a 0.006 D1dH2n 0.006 D1fD2n 0.006 D1fR2p 0.006 D1kH1p 0.006 D1kR1q 0.006 D1rD2m 0.006 D1rR2r 0.006 D1sR2a 0.006 D2kR2a 0.006 D2lH2f 0.006 D2mH2e 0.006 D2qR1k 0.006 D2qR2l 0.006 D2rH2q 0.006 D2sH1a 0.006 D2sR1x 0.006 H1aR1d 0.006 H1mH2a 0.006 H1vH2k 0.006 H2aR1i 0.006 H2iR2p 0.006 H2vR1l 0.006 H2vR2k 0.006 R1kR2r 0.006 R1mR2a 0.006 R1sR2q 0.006 B1eC2i 0.005 B1eC2s 0.005 B1eH2s 0.005 B1fD1k 0.005 B1fD2e 0.005 B1kD1r 0.005 B1kD2r 0.005 B1lC1f 0.005 B1pC2s 0.005 B1qC2t 0.005 B1rD1i 0.005 B1rR1s 0.005 B1sH2f 0.005 B1sR1p 0.005 B1tH2q 0.005 B1vH2i 0.005 B1vR2l 0.005 B2aC1k 0.005 B2aD1h 0.005 B2aD2k 0.005 B2dC1n 0.005 B2dD2e 0.005 B2eC1d 0.005 B2eC1t 0.005 B2eD1q 0.005 B2fC1k 0.005 B2fC2v 0.005 B2nC1n 0.005 B2nH1s 0.005 B2nR2a 0.005 B2pC2a 0.005 B2pH1f 0.005 B2pH2p 0.005 B2qH2i 0.005

B2qR1s 0.005 B2rC1r 0.005 B2sC1e 0.005 B2sD2n 0.005 B2tD2e 0.005 B2tR1p 0.005 B2wH2p 0.005 C1dC2n 0.005 C1dR2d 0.005 C1dR2q 0.005 C1eC2r 0.005 C1nC2d 0.005 C1nC2n 0.005 C1nD1e 0.005 C1nH2d 0.005 C1nR2r 0.005 C1qC2s 0.005 C1qD1a 0.005 C1rR1v 0.005 C1sD1r 0.005 C1vH2i 0.005 C1wC2p 0.005 C1wH2p 0.005 C1yH1p 0.005 C2eR2i 0.005 C2iR2x 0.005 C2lR2q 0.005 C2nD1d 0.005 C2pD1w 0.005 C2pR2f 0.005 C2qH1k 0.005 C2qR1p 0.005 C2qR1s 0.005 C2rH1p 0.005 C2sD2d 0.005 C2tD2r 0.005 C2wD1p 0.005 C2yD1e 0.005 D1aH2i 0.005 D1cD2r 0.005 D1dH2t 0.005 D1eH2h 0.005 D1fR2r 0.005 D1iR1p 0.005 D1lD2q 0.005 D1pH2w 0.005 D1sD2a 0.005 D1vD2p 0.005 D1vH2q 0.005 D1wH2p 0.005 D2dH2s 0.005 D2eH1t 0.005 D2fH2v 0.005 D2gH1k 0.005 D2gR1k 0.005 D2kR1q 0.005 D2kR1r 0.005 D2qR1x 0.005 D2rH2y 0.005 D2vH2q 0.005 D2wH2p 0.005 D2yH1p 0.005 H1aR1i 0.005 H1aR1m 0.005 H1eR1d 0.005 H1eR1r 0.005 H1kH2t 0.005 H1nR2g 0.005 H1rR1v 0.005 H1sR2s 0.005 H2iR2r 0.005 R1aR2q 0.005 R1vR2x 0.005 B1aB2a 0.004 B1aC1s 0.004 B1aD1f 0.004 B1dB2d 0.004 B1dC2e 0.004 B1dR2d 0.004 B1eD2p 0.004 B1eD2v 0.004 B1fB2l 0.004 B1hC1a 0.004 B1iC1q 0.004 B1iC2a 0.004 B1mR2p 0.004 B1pB2c 0.004 B1pC1q 0.004 B1qC1f 0.004 B1qC2s 0.004 B1qH1l 0.004 B1qH2s 0.004 B1rC2p 0.004 B1rD1c 0.004 B1rD1l 0.004 B1rD2l 0.004 B1sC2a 0.004 B1tB2i 0.004 B1tC2i 0.004 B1tH1d 0.004 B1vH1s 0.004 B2aH1a 0.004 B2fC2s 0.004 B2iC2i 0.004 B2iR1e 0.004 B2lC1i 0.004 B2lR2d 0.004 B2nD1d 0.004 B2pC1w 0.004 B2pD1w 0.004 B2pH2q 0.004 B2pR1d 0.004 B2qC1r 0.004 B2rH1r 0.004 B2sC1f 0.004 B2sC1q 0.004 B2tC1d 0.004 B2tC1p 0.004 B2vC2k 0.004 B2vH2k 0.004 B2wC2p 0.004 C1dC2d 0.004 C1eD2m 0.004 C1mR2x 0.004 C1rD1l 0.004 C1rR1s 0.004 C1sC2a 0.004 C1sH1l 0.004 C1tC2e 0.004 C1yD2p 0.004 C2dD1s 0.004 C2eD1d 0.004 C2iD2g 0.004 C2iD2r 0.004 C2iR1r 0.004 C2kD1e 0.004 C2pD2w 0.004 C2pR1d 0.004 C2qD1v 0.004 C2qD2v 0.004 C2rR1d 0.004 C2sD2r 0.004 C2sH1e 0.004 D1aH2n 0.004 D1aR2h 0.004 D1eH2k 0.004 D1hH2a 0.004 D1kR2s 0.004 D1rH1k 0.004 D1rR1v 0.004 D1sH2e 0.004 D1sH2p 0.004 D1vD2r 0.004 D1vD2v 0.004 D1vR2l 0.004 D2aH1m 0.004 D2aR1m 0.004 D2dR2l 0.004 D2nR2l 0.004 D2rH2s 0.004

D2rR1t 0.004 D2sR2d 0.004 D2tR2g 0.004 H1dR2d 0.004 H1dR2q 0.004 H1gH2d 0.004 H1kH2d 0.004 H1mR1x 0.004 H1rR1s 0.004 H2sR1a 0.004 B1aB2m 0.003 B1dH2e 0.003 B1eD1i 0.003 B1fD1s 0.003 B1gR1h 0.003 B1hH1g 0.003 B1kB2k 0.003 B1kB2v 0.003 B1kH1g 0.003 B1lD2p 0.003 B1qB2s 0.003 B1qC1i 0.003 B1qD1t 0.003 B1qR1p 0.003 B1rR1a 0.003 B1tC2q 0.003 B1tD2q 0.003 B1vC1n 0.003 B1vC2i 0.003 B1vR2p 0.003 B2aH2n 0.003 B2aR2a 0.003 B2aR2i 0.003 B2dD1i 0.003 B2dR1x 0.003 B2fD1k 0.003 B2fD2e 0.003 B2iC2r 0.003 B2iD2q 0.003 B2iH2r 0.003 B2iR2r 0.003 B2kC2v 0.003 B2kH2a 0.003 B2nC2l 0.003 B2nD1i 0.003 B2qC2i 0.003 B2qH1d 0.003 B2rD2m 0.003 B2rD2v 0.003 B2rR1d 0.003 B2sD2d 0.003 B2sR2s 0.003 B2vD1a 0.003 B2vR2s 0.003 C1dD2f 0.003 C1fH2v 0.003 C1iH2l 0.003 C1kD2k 0.003 C1kR1g 0.003 C1lD1f 0.003 C1lD1k 0.003 C1lR1d 0.003 C1pR1f 0.003 C1qD1t 0.003 C1qD2e 0.003 C1tD1f 0.003 C1tH2e 0.003 C2aH2m 0.003 C2dD1i 0.003 C2dH1k 0.003 C2nR1s 0.003 C2sH1l 0.003 C2tD1m 0.003 C2tR1g 0.003 C2vR1g 0.003 C2vR2p 0.003 C2vR2r 0.003 D1aD2c 0.003 D1dD2n 0.003 D1dD2s 0.003 D1dH2e 0.003 D1eH2y 0.003 D1gR1h 0.003 D1iH2d 0.003 D1kH1g 0.003 D1pR1y 0.003 D1qR1d 0.003 D1rR1s 0.003 D1sD2d 0.003 D1sR2r 0.003 D1vH1s 0.003 D1vR1k 0.003 D2gH2i 0.003 D2iH2n 0.003 D2kR2s 0.003 D2nR2a 0.003 D2pH1c 0.003 D2qR1s 0.003 D2vR1k 0.003 D2vR2a 0.003 H1dH2t 0.003 H1eR1e 0.003 H1eR1k 0.003 H1pH2r 0.003 H2aR1v 0.003 H2dR1p 0.003 H2eR2i 0.003 H2lR2q 0.003 H2nR1s 0.003 H2rR1d 0.003 H2vR2e 0.003 B1dR1q 0.002 B1eC1c 0.002 B1fC1s 0.002 B1iB2e 0.002 B1iD2a 0.002 B1nC1l 0.002 B1nC1t 0.002 B1nC2k 0.002 B1nC2t 0.002 B1nH2k 0.002 B1pC1m 0.002 B1qC1a 0.002 B1rD1v 0.002 B1sC2k 0.002 B1sH2k 0.002 B1tC1n 0.002 B1tD1s 0.002 B2aC2n 0.002 B2aH2m 0.002 B2eR2k 0.002 B2eR2n 0.002 B2fD2l 0.002 B2fH2v 0.002 B2kC2s 0.002 B2kD1f 0.002 B2nH2l 0.002 B2pC1r 0.002 B2sH1e 0.002 B2sH1v 0.002 B2vH1e 0.002 B2vH1v 0.002 C1aD2k 0.002 C1aD2t 0.002 C1dD2s 0.002 C1eD2l 0.002 C1iD2a 0.002 C1kH2a 0.002 C1lR1k 0.002 C1mR2a 0.002 C1pD1h 0.002 C1pR1e 0.002 C1qH2p 0.002 C1sC2k 0.002 C1sC2v 0.002 C1sH2k 0.002 C1tD2v 0.002 C1tH2q 0.002 C1vC2r 0.002 C1vD2v 0.002

C1vH2r 0.002 C1vR2v 0.002 C2fH2l 0.002 C2hR1p 0.002 C2kD1f 0.002 C2lD2f 0.002 C2lD2n 0.002 C2nD1a 0.002 C2nD2i 0.002 C2nR2v 0.002 C2pD1s 0.002 C2qR2e 0.002 C2sD1e 0.002 C2vD1f 0.002 D1aR2d 0.002 D1aR2v 0.002 D1aR2x 0.002 D1dR1q 0.002 D1eR1k 0.002 D1fD2k 0.002 D1fH2k 0.002 D1mR1g 0.002 D1qR2l 0.002 D1tD2l 0.002 D2dH1s 0.002 D2dR1d 0.002 D2fH2l 0.002 D2kH1v 0.002 D2qR2v 0.002 D2rH1s 0.002 D2sH1t 0.002 D2tH2i 0.002 H1aR2r 0.002 H1kR2r 0.002 H1kR2s 0.002 H1lR2x 0.002 H1pR1v 0.002 H1qH2s 0.002 H1rR2x 0.002 H2nR2v 0.002 H2qR2e 0.002 B1aD1h 0.001 B1aR2s 0.001 B1cD1e 0.001 B1dD2d 0.001 B1fC2e 0.001 B1fH2e 0.001 B1hR1g 0.001 B1iC1k 0.001 B1kC2s 0.001 B1kH2s 0.001 B1lC1s 0.001 B1lD1k 0.001 B1nH2s 0.001 B1pC1n 0.001 B1pR1v 0.001 B1qD1f 0.001 B1qD2l 0.001 B1rD1e 0.001 B1rR2t 0.001 B1tD2t 0.001 B1vB2q 0.001 B1vR1s 0.001 B1wD1p 0.001 B2dD1a 0.001 B2dD2i 0.001 B2gD2d 0.001 B2gH1h 0.001 B2gH1y 0.001 B2lC1f 0.001 B2nD1a 0.001 B2nD1l 0.001 B2pD2l 0.001 B2pD2m 0.001 B2qD2p 0.001 B2sC2k 0.001 B2sD1m 0.001 B2sH2k 0.001 B2tH1p 0.001 B2vD2a 0.001 C1aH2m 0.001 C1cD1e 0.001 C1dD1r 0.001 C1eR2i 0.001 C1gD2s 0.001 C1lH2q 0.001 C1nD2k 0.001 C1pR2d 0.001 C1pR2q 0.001 C1qR1d 0.001 C1rC2l 0.001 C1rR1a 0.001 C1sC2t 0.001 C1tC2q 0.001 C1tR1a 0.001 C1vD1r 0.001 C2eR2a 0.001 C2gH1h 0.001 C2gR1h 0.001 C2gR1n 0.001 C2iR2r 0.001 C2lD2s 0.001 C2lR1q 0.001 C2nH1d 0.001 C2pR2m 0.001 C2sH2a 0.001 C2tR1d 0.001 D1dR1r 0.001 D1eD2m 0.001 D1mD2l 0.001 D1pH2n 0.001 D1qD2v 0.001 D1tR2a 0.001 D1vR1x 0.001 D1vR2p 0.001 D2dR1k 0.001 D2gH1q 0.001 D2gR2n 0.001 D2kH2v 0.001 D2lR1e 0.001 D2nR2p 0.001 D2pR2n 0.001 D2qH1d 0.001 H1dH2n 0.001 H1dH2p 0.001 H1hH2g 0.001 H2aR1a 0.001 H2gR1h 0.001 H2gR1n 0.001 H2pR2m 0.001 B1aB2k 0.000 B1aB2v 0.000 B1aC2k 0.000 B1aD1e -0.000 B1aH2k 0.000 B1eD1v -0.000 B1fC1d -0.000 B1fD2s 0.000 B1gB2t 0.000 B1gD2k -0.000 B1iD2r -0.000 B1iR2x 0.000 B1kB2s -0.000 B1kC1i -0.000 B1lB2e -0.000 B1lD1p 0.000 B1lR1k 0.000 B1nB2s 0.000 B1nC1q 0.000 B1nD2e 0.000 B1nD2l -0.000 B1pC2w -0.000 B1pH2w -0.000 B1qD1k -0.000 B1rH2n -0.000 B1sR1d 0.000 B1sR2l 0.000 B1sR2x 0.000 B1vD1n 0.000 B1vR2v 0.000

B1yB2a -0.000 B2aH1i -0.000 B2eC2p -0.000 B2eH1t 0.000 B2fC2l 0.000 B2hD2p 0.000 B2hR2g -0.000 B2kR1d 0.000 B2lC1q -0.000 B2lD2d -0.000 B2lR1q 0.000 B2nC2g -0.000 B2nH1d 0.000 B2nH2g -0.000 B2nR2v 0.000 B2pH1i 0.000 B2pR1y 0.000 B2qC1t -0.000 B2qD2q 0.000 B2rD2e 0.000 B2rR1v 0.000 B2sD1f 0.000 B2sH1q -0.000 B2tH2i -0.000 B2vH1q -0.000 C1aC2s -0.000 C1aH2s -0.000 C1eR1s 0.000 C1fC2a 0.000 C1iR2x 0.000 C1kH1a 0.000 C1lD2s 0.000 C1mR2p 0.000 C1nC2k 0.000 C1nH2k 0.000 C1pC2w -0.000 C1pH2w -0.000 C1qD2i 0.000 C1qR2l 0.000 C1rD1e -0.000 C1rR2t -0.000 C1tD2q 0.000 C1vD2q 0.000 C2dD1l -0.000 C2dD1n -0.000 C2dH1g 0.000 C2dR1p 0.000 C2eD1p 0.000 C2fD1r 0.000 C2iD2t -0.000 C2iR2p 0.000 C2lR2s 0.000 C2pH1d -0.000 C2qR2x 0.000 C2sD1a 0.000 C2sD1k -0.000 C2tH1s -0.000 C2vD2l 0.000 C2vH1q -0.000 D1aH1m -0.000 D1aR1m -0.000 D1cR2x 0.000 D1dR1g -0.000 D1fH2v -0.000 D1lH2d -0.000 D1lH2t 0.000 D1nH2d -0.000 D1nH2t 0.000 D1nR2x 0.000 D1qH1a -0.000 D1qH1p -0.000 D1rH1d 0.000 D1tH1s -0.000 D1tR1d 0.000 D1vD2t -0.000 D1vR1s 0.000 D2aH2m -0.000 D2gH1h 0.000 D2gH1y 0.000 D2lH1v 0.000 D2nH2i -0.000 D2nH2l 0.000 D2pR1t -0.000 D2rR1v 0.000 H1eH2p 0.000 H1lH2a -0.000 H1qR2l 0.000 H1rR2k -0.000 H1sR1a -0.000 H1vR1s 0.000 H2aR1p -0.000 H2aR1s -0.000 H2qR2x 0.000 R1eR2i 0.000 B1aC2t -0.001 B1aH2n -0.001 B1dC1l -0.001 B1fD2a -0.001 B1iH2r -0.001 B1kH1e -0.001 B1kH2v -0.001 B1kR1g -0.001 B1lC2e -0.001 B1lH2e -0.001 B1pC1s -0.001 B1pD1t -0.001 B1pD2i -0.001 B1pD2t -0.001 B1qB2l -0.001 B1qC2l -0.001 B1qR1d -0.001 B1rC2n -0.001 B1rD2f -0.001 B1rH2t -0.001 B1sB2s -0.001 B1tD1r -0.001 B1tH2n -0.001 B1vC1r -0.001 B1vD1i -0.001 B1wR2y -0.001 B2aD2h -0.001 B2aH2q -0.001 B2aR2x -0.001 B2cH1w -0.001 B2cR2y -0.001 B2dC2e -0.001 B2dD1r -0.001 B2dH1d -0.001 B2eR2q -0.001 B2fH2l -0.001 B2gD1i -0.001 B2kD2e -0.001 B2kH1s -0.001 B2lD1m -0.001 B2lD1p -0.001 B2mD1a -0.001 B2nC2e -0.001 B2pC2q -0.001 B2rC1t -0.001 B2sH2s -0.001 B2vD2l -0.001 B2yH1w -0.001 B2yR2y -0.001 C1aD2f -0.001 C1aH2i -0.001 C1dH1v -0.001 C1hH1w -0.001 C1hR2y -0.001 C1iH2r -0.001 C1lC2q -0.001 C1lD2v -0.001 C1lR1s -0.001 C1pH1n -0.001 C1pH1v -0.001 C1rC2f -0.001 C1vD1i -0.001 C1wH1w -0.001 C1wR2y -0.001 C1yC2p -0.001 C1yH2p -0.001

C2aH1d -0.001 C2cD1a -0.001 C2cH1w -0.001 C2cR2y -0.001 C2lR2r -0.001 C2nD1p -0.001 C2rR2i -0.001 C2yH1w -0.001 C2yR2y -0.001 D1aH2c -0.001 D1dH1v -0.001 D1gH1i -0.001 D1iD2k -0.001 D1lD2p -0.001 D1lH2a -0.001 D1nD2d -0.001 D1pH2e -0.001 D1rH2f -0.001 D1rR2k -0.001 D1sD2k -0.001 D1vR2v -0.001 D1wH1w -0.001 D1wR2y -0.001 D1yH1w -0.001 D1yR2y -0.001 D2aH1v -0.001 D2cH1w -0.001 D2cR2y -0.001 D2dH2i -0.001 D2eH1v -0.001 D2iH2p -0.001 D2nH1k -0.001 D2nR1s -0.001 D2nR1x -0.001 D2sH2n -0.001 D2sR2s -0.001 H1iH2a -0.001 H1pH2s -0.001 H1wH2c -0.001 H1wH2y -0.001 H1wR2y -0.001 H2cR2y -0.001 H2lR1q -0.001 H2pR2n -0.001 H2sR1d -0.001 H2yR2y -0.001 R1eR2v -0.001 R1hR2y -0.001 R1rR2k -0.001 R1rR2t -0.001 R1yR2y -0.001 B1aD2r -0.002 B1dC1r -0.002 B1dC2k -0.002 B1dH2k -0.002 B1eC2f -0.002 B1eR2v -0.002 B1hH1w -0.002 B1hR2y -0.002 B1iC1d -0.002 B1iC2r -0.002 B1iD1d -0.002 B1iD1s -0.002 B1kB2g -0.002 B1kD1t -0.002 B1lD1s -0.002 B1lD2v -0.002 B1mD1p -0.002 B1nC2l -0.002 B1pH2l -0.002 B1qH2l -0.002 B1qR2l -0.002 B1rB2a -0.002 B1rB2n -0.002 B1rB2t -0.002 B1rC2d -0.002 B1rH2d -0.002 B1sD2l -0.002 B1tB2d -0.002 B1tB2t -0.002 B1tC2n -0.002 B1tD1i -0.002 B1vD2g -0.002 B1vR1a -0.002 B1vR1p -0.002 B1wH1h -0.002 B1wH1y -0.002 B1wR1h -0.002 B1wR1y -0.002 B1wR2m -0.002 B1yD2g -0.002 B1yH1w -0.002 B1yR2y -0.002 B2aD1t -0.002 B2aH1d -0.002 B2cH1h -0.002 B2cH1y -0.002 B2cR1h -0.002 B2dC2i -0.002 B2dH2e -0.002 B2hR2y -0.002 B2iC2a -0.002 B2iD2n -0.002 B2kD1i -0.002 B2kR2x -0.002 B2lR1r -0.002 B2mH1w -0.002 B2mR2y -0.002 B2nC1a -0.002 B2nD2s -0.002 B2nH2e -0.002 B2nR1a -0.002 B2pD1m -0.002 B2qD2t -0.002 B2qH2n -0.002 B2rR2i -0.002 B2sC1n -0.002 B2sH2a -0.002 B2tC2i -0.002 B2vD1d -0.002 B2yH1h -0.002 B2yH1y -0.002 B2yR1y -0.002 B2yR2m -0.002 C1aC2m -0.002 C1eD1s -0.002 C1eD2p -0.002 C1fH2a -0.002 C1gH1i -0.002 C1hH1y -0.002 C1hR1h -0.002 C1iC2r -0.002 C1iD1d -0.002 C1iR2a -0.002 C1kD1f -0.002 C1kD2l -0.002 C1lD1a -0.002 C1mR1a -0.002 C1qH1k -0.002 C1rD2f -0.002 C1sD2l -0.002 C1sH1s -0.002 C1sR1d -0.002 C1tR1g -0.002 C1vD2t -0.002 C1wH1h -0.002 C1wH1y -0.002 C1wR1h -0.002 C1wR1y -0.002 C1wR2m -0.002 C1yH1w -0.002 C1yR2y -0.002 C2aR2n -0.002 C2cH1h -0.002 C2cH1y -0.002 C2cR1h -0.002 C2dD1v -0.002 C2eR2q -0.002 C2fD2p -0.002 C2gH1v -0.002

Page 96: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

96(112)

C2lH1v -0.002 C2mH1w -0.002 C2nD2s -0.002 C2rR1s -0.002 C2tD1s -0.002 C2vD1s -0.002 C2yH1h -0.002 C2yH1y -0.002 C2yR1h -0.002 D1cH1a -0.002 D1dR2r -0.002 D1eR2i -0.002 D1hH1w -0.002 D1hR2y -0.002 D1lR2e -0.002 D1nH1e -0.002 D1pH1v -0.002 D1pR1d -0.002 D1rH1p -0.002 D1rH2a -0.002 D1wH1h -0.002 D1wH1y -0.002 D1wR1h -0.002 D1wR1y -0.002 D1wR2m -0.002 D1yH1h -0.002 D1yH1y -0.002 D1yR1h -0.002 D1yR1y -0.002 D1yR2m -0.002 D2aH2l -0.002 D2cH1h -0.002 D2cH1y -0.002 D2cR1h -0.002 D2cR1y -0.002 D2cR2m -0.002 D2dH2q -0.002 D2hH1w -0.002 D2hR2y -0.002 D2nH1a -0.002 D2rH1k -0.002 D2rR2i -0.002 D2sH2t -0.002 D2sR2a -0.002 D2yH1w -0.002 D2yR2y -0.002 H1eR2v -0.002 H1hH1w -0.002 H1hH2c -0.002 H1hH2y -0.002 H1hR2y -0.002 H1vH2g -0.002 H1wH1y -0.002 H1wH2m -0.002 H1wR1h -0.002 H1wR1y -0.002 H1wR2m -0.002 H1yH2c -0.002 H1yH2y -0.002 H1yR2y -0.002 H2cR1h -0.002 H2dR2e -0.002 H2eR2a -0.002 H2lR2s -0.002 H2mR2y -0.002 H2rR2i -0.002 H2tR2e -0.002 H2vR1e -0.002 H2yR1h -0.002 R2mR2y -0.002 B1aC2n -0.003 B1aH2t -0.003 B1cB2g -0.003 B1cH1w -0.003 B1cR1x -0.003 B1cR2y -0.003 B1dD2k -0.003 B1dH1l -0.003 B1eC2n -0.003 B1eD1d -0.003 B1eH2n -0.003 B1eR1l -0.003 B1hH1y -0.003 B1hR1h -0.003 B1iH1w -0.003 B1iR2y -0.003 B1kC1k -0.003 B1kD1f -0.003 B1lB2i -0.003 B1lC1d -0.003 B1lR1s -0.003 B1lR2a -0.003 B1mB2a -0.003 B1mD2a -0.003 B1mH1w -0.003 B1mR2y -0.003 B1nC1k -0.003 B1nH2l -0.003 B1nH2p -0.003 B1pC2t -0.003 B1pR1y -0.003 B1qH2i -0.003 B1rC2e -0.003 B1sD2i -0.003 B1tC1r -0.003 B1vC2d -0.003 B1wH1c -0.003 B1wH1i -0.003 B1wH1m -0.003 B1wR1f -0.003 B1wR1i -0.003 B1wR1m -0.003 B1wR1n -0.003 B1wR2h -0.003 B1yH1h -0.003 B1yR1h -0.003 B2cR1y -0.003 B2cR2m -0.003 B2hH1w -0.003 B2iC2d -0.003 B2iH2d -0.003 B2lC2p -0.003 B2lR2a -0.003 B2nC1e -0.003 B2qC2n -0.003 B2qH2t -0.003 B2rC1l -0.003 B2rD2a -0.003 B2rD2f -0.003 B2rR1s -0.003 B2sR1p -0.003 B2yH1c -0.003 B2yH1i -0.003 B2yH1m -0.003 B2yR1f -0.003 B2yR1i -0.003 B2yR1m -0.003 B2yR1n -0.003 B2yR2h -0.003 C1aR1s -0.003 C1cH1w -0.003 C1cR2y -0.003 C1dC2t -0.003 C1dD2k -0.003 C1dH1l -0.003 C1eH2f -0.003 C1eR2k -0.003 C1hR1y -0.003 C1hR2m -0.003 C1iH1w -0.003 C1iR2y -0.003 C1kD2i -0.003 C1mH1w -0.003 C1mR2y -0.003 C1qD1d -0.003 C1rH2d -0.003 C1rH2f -0.003 C1sD1f -0.003 C1vD1v -0.003 C1vH2t -0.003

C1wH1c -0.003 C1wH1i -0.003 C1wH1m -0.003 C1wR1f -0.003 C1wR1i -0.003 C1wR1m -0.003 C1wR1n -0.003 C1wR2h -0.003 C1yH1h -0.003 C1yH1y -0.003 C1yR1h -0.003 C2aR1a -0.003 C2cR1y -0.003 C2cR2m -0.003 C2fH1w -0.003 C2gD2n -0.003 C2hH1w -0.003 C2hR2y -0.003 C2iD2n -0.003 C2iR1p -0.003 C2mD2a -0.003 C2mR2y -0.003 C2sD1i -0.003 C2sD1s -0.003 C2sD2a -0.003 C2tH1k -0.003 C2yR1y -0.003 C2yR2m -0.003 D1aD2d -0.003 D1aD2q -0.003 D1aR1q -0.003 D1cH1w -0.003 D1cR1x -0.003 D1cR2p -0.003 D1cR2y -0.003 D1dH1g -0.003 D1hH1h -0.003 D1hH1y -0.003 D1hR1h -0.003 D1iH2s -0.003 D1lH1r -0.003 D1nD2k -0.003 D1nH1a -0.003 D1pD2r -0.003 D1sH2s -0.003 D1vD2n -0.003 D1wH1c -0.003 D1wH1i -0.003 D1wH1m -0.003 D1wR1f -0.003 D1wR1i -0.003 D1wR1m -0.003 D1wR1n -0.003 D1wR2h -0.003 D1yH1i -0.003 D1yH1m -0.003 D1yR1f -0.003 D1yR1i -0.003 D1yR1m -0.003 D1yR1n -0.003 D1yR2h -0.003 D2cH1c -0.003 D2cH1i -0.003 D2cH1m -0.003 D2cR1f -0.003 D2cR1i -0.003 D2cR1m -0.003 D2cR1n -0.003 D2cR2h -0.003 D2fH1w -0.003 D2fR2x -0.003 D2fR2y -0.003 D2hH1h -0.003 D2hH1y -0.003 D2hR1h -0.003 D2mH1w -0.003 D2mR2y -0.003 D2nH2g -0.003 D2qH2n -0.003 D2rH2n -0.003 D2sR1e -0.003 D2yH1h -0.003 D2yH1y -0.003 D2yR1h -0.003 H1cH1w -0.003 H1cR1x -0.003 H1cR2y -0.003 H1hH1y -0.003 H1hR1h -0.003 H1iH1w -0.003 H1iR2p -0.003 H1iR2y -0.003 H1mH1w -0.003 H1mR2y -0.003 H1pR1y -0.003 H1wH2f -0.003 H1wH2h -0.003 H1wR1f -0.003 H1wR1i -0.003 H1wR1m -0.003 H1wR1n -0.003 H1wR2h -0.003 H1yR1h -0.003 H2cR1y -0.003 H2cR2m -0.003 H2eR2q -0.003 H2fR2y -0.003 H2hR2y -0.003 H2qR1r -0.003 H2rR1s -0.003 H2yR1y -0.003 H2yR2m -0.003 R1eR2k -0.003 R1eR2n -0.003 R1fR2y -0.003 R1hR2m -0.003 R1iR2y -0.003 R1mR2y -0.003 R1nR2y -0.003 R1yR2m -0.003 R2hR2y -0.003 B1aC2d -0.004 B1aH1e -0.004 B1aH2d -0.004 B1dH1q -0.004 B1eH1d -0.004 B1eH2f -0.004 B1eR2k -0.004 B1fH1w -0.004 B1fR2y -0.004 B1hC2w -0.004 B1hD2w -0.004 B1hH2w -0.004 B1hR1y -0.004 B1hR2h -0.004 B1hR2m -0.004 B1iD1r -0.004 B1iH1p -0.004 B1lH1d -0.004 B1lR2v -0.004 B1nB2e -0.004 B1nC1s -0.004 B1nC2p -0.004 B1nD1k -0.004 B1nH1w -0.004 B1nR2y -0.004 B1qC2i -0.004 B1qH1k -0.004 B1rH2e -0.004 B1sC1k -0.004 B1sH1k -0.004 B1tC1e -0.004 B1tR1e -0.004 B1tR2r -0.004 B1vB2d -0.004 B1vH1g -0.004 B1wB2w -0.004 B1wC1p -0.004 B1wC1w -0.004 B1wD1w -0.004

B1wD2w -0.004 B1wH1f -0.004 B1wH1n -0.004 B1wR1l -0.004 B1wR1t -0.004 B1wR1v -0.004 B1wR2f -0.004 B1wR2i -0.004 B1yR1y -0.004 B1yR2h -0.004 B1yR2m -0.004 B2aC2q -0.004 B2aD1d -0.004 B2cH1c -0.004 B2cH1i -0.004 B2cH1m -0.004 B2cR1i -0.004 B2cR1m -0.004 B2cR2h -0.004 B2eD1f -0.004 B2eH1r -0.004 B2fC1e -0.004 B2fD2r -0.004 B2fH1p -0.004 B2fH1w -0.004 B2fR2y -0.004 B2iD1t -0.004 B2iH1w -0.004 B2iR2y -0.004 B2kD1n -0.004 B2kR1s -0.004 B2mH1h -0.004 B2mH1y -0.004 B2mR1h -0.004 B2nD2q -0.004 B2qC2d -0.004 B2qD2n -0.004 B2qH1r -0.004 B2qH2d -0.004 B2tC1v -0.004 B2wC1h -0.004 B2wC1w -0.004 B2wC2w -0.004 B2wD1w -0.004 B2wD1y -0.004 B2wD2w -0.004 B2wH2w -0.004 B2yH1f -0.004 B2yH1n -0.004 B2yR1l -0.004 B2yR1t -0.004 B2yR1v -0.004 B2yR2f -0.004 B2yR2i -0.004 C1dC2s -0.004 C1dH2s -0.004 C1fH1w -0.004 C1fR2y -0.004 C1hC2w -0.004 C1hD2w -0.004 C1hH1c -0.004 C1hH1i -0.004 C1hH1m -0.004 C1hH2w -0.004 C1hR1i -0.004 C1hR1m -0.004 C1hR2h -0.004 C1nC2l -0.004 C1nD2g -0.004 C1nH1w -0.004 C1nR2y -0.004 C1pC2m -0.004 C1pH1i -0.004 C1pH1l -0.004 C1qC2i -0.004 C1qD2s -0.004 C1qH1a -0.004 C1qH2e -0.004 C1qR2v -0.004 C1rC2e -0.004 C1rD2n -0.004 C1sD1e -0.004 C1tD2n -0.004 C1tR2e -0.004 C1wC2w -0.004 C1wD2w -0.004 C1wH1f -0.004 C1wH1n -0.004 C1wH2w -0.004 C1wR1l -0.004 C1wR1t -0.004 C1wR1v -0.004 C1wR2f -0.004 C1wR2i -0.004 C1yR1y -0.004 C1yR2m -0.004 C2aR1p -0.004 C2cH1c -0.004 C2cH1i -0.004 C2cH1m -0.004 C2cR1i -0.004 C2cR1m -0.004 C2cR2h -0.004 C2dR2e -0.004 C2fR2y -0.004 C2gD2q -0.004 C2iD2d -0.004 C2iH1w -0.004 C2iR2y -0.004 C2kH1k -0.004 C2lH1e -0.004 C2mH1h -0.004 C2mH1y -0.004 C2mR1h -0.004 C2nD2q -0.004 C2nD2r -0.004 C2qD2d -0.004 C2qR1r -0.004 C2qR2y -0.004 C2sD1d -0.004 C2sH1p -0.004 C2vD1n -0.004 C2wD1w -0.004 C2wD1y -0.004 C2wD2w -0.004 C2yH1i -0.004 C2yH1m -0.004 C2yR1i -0.004 C2yR1m -0.004 C2yR2h -0.004 D1fH1w -0.004 D1fR2y -0.004 D1hR1y -0.004 D1hR2m -0.004 D1iR2y -0.004 D1kH1s -0.004 D1kR1d -0.004 D1lD2k -0.004 D1mD2s -0.004 D1mH1w -0.004 D1mR2y -0.004 D1nH1w -0.004 D1nR2y -0.004 D1qH2t -0.004 D1sR1d -0.004 D1vD2d -0.004 D1vR1p -0.004 D1wD2w -0.004 D1wH1f -0.004 D1wH1n -0.004 D1wH2w -0.004 D1wR1l -0.004 D1wR1t -0.004 D1wR1v -0.004 D1wR2f -0.004 D1wR2i -0.004 D1yD2w -0.004 D1yH1f -0.004 D1yH1n -0.004 D1yH2w -0.004

D1yR1l -0.004 D1yR1t -0.004 D1yR1v -0.004 D1yR2f -0.004 D1yR2i -0.004 D2cH1f -0.004 D2cH1n -0.004 D2cR1l -0.004 D2cR1t -0.004 D2cR1v -0.004 D2cR2f -0.004 D2cR2i -0.004 D2gH2h -0.004 D2hR1y -0.004 D2hR2h -0.004 D2hR2m -0.004 D2iH1w -0.004 D2iR2y -0.004 D2lH2v -0.004 D2rH2t -0.004 D2wH2w -0.004 D2yR1y -0.004 D2yR2m -0.004 H1cH2c -0.004 H1dH2a -0.004 H1eR2n -0.004 H1fH1w -0.004 H1fR2y -0.004 H1hH2m -0.004 H1hR1y -0.004 H1hR2h -0.004 H1hR2m -0.004 H1iH2c -0.004 H1iH2y -0.004 H1kH2k -0.004 H1lR2p -0.004 H1mH2c -0.004 H1mH2y -0.004 H1nH1w -0.004 H1nR2y -0.004 H1qH2v -0.004 H1qR2v -0.004 H1rH2t -0.004 H1sR1k -0.004 H1vH2l -0.004 H1wH2i -0.004 H1wH2q -0.004 H1wR1l -0.004 H1wR1t -0.004 H1wR1v -0.004 H1wR2f -0.004 H1wR2i -0.004 H1yH2m -0.004 H1yR1y -0.004 H1yR2h -0.004 H1yR2m -0.004 H2cR1i -0.004 H2cR1m -0.004 H2cR2h -0.004 H2iR2y -0.004 H2mR1h -0.004 H2qR1e -0.004 H2qR2y -0.004 H2tR1r -0.004 H2yR1i -0.004 H2yR1m -0.004 H2yR2h -0.004 R1hR1y -0.004 R1hR2h -0.004 R1lR2y -0.004 R1rR2d -0.004 R1tR2y -0.004 R1vR2y -0.004 R1yR2h -0.004 R2fR2y -0.004 R2iR2y -0.004 B1aB2h -0.005 B1aB2s -0.005 B1aC2e -0.005 B1aD2a -0.005 B1aD2n -0.005 B1cH1h -0.005 B1cH1y -0.005 B1cR1h -0.005 B1eC1d -0.005 B1eD2n -0.005 B1gD2c -0.005 B1gH1n -0.005 B1hB1w -0.005 B1hD1w -0.005 B1hH1c -0.005 B1hH1i -0.005 B1hH1m -0.005 B1hR1i -0.005 B1hR1m -0.005 B1iC1r -0.005 B1iH1h -0.005 B1iH1y -0.005 B1iR1h -0.005 B1kC1n -0.005 B1kC1s -0.005 B1kD1k -0.005 B1lH1w -0.005 B1lR2y -0.005 B1mH1h -0.005 B1mH1y -0.005 B1mR1h -0.005 B1nD2s -0.005 B1pH2t -0.005 B1pR2l -0.005 B1qB2i -0.005 B1qD1n -0.005 B1qD2s -0.005 B1qH1w -0.005 B1qR1g -0.005 B1rD2d -0.005 B1rR2e -0.005 B1sH1w -0.005 B1sH2i -0.005 B1sR2y -0.005 B1tB2g -0.005 B1tD2a -0.005 B1tH1w -0.005 B1tR2a -0.005 B1tR2y -0.005 B1vH1w -0.005 B1vR2y -0.005 B1wB2c -0.005 B1wB2m -0.005 B1wC1h -0.005 B1wC2c -0.005 B1wC2m -0.005 B1wD1h -0.005 B1wD1y -0.005 B1wD2c -0.005 B1wH1l -0.005 B1wH1q -0.005 B1wH1t -0.005 B1wH1v -0.005 B1wH2c -0.005 B1wH2m -0.005 B1wR1q -0.005 B1wR2d -0.005 B1wR2k -0.005 B1wR2n -0.005 B1wR2q -0.005 B1wR2s -0.005 B1wR2t -0.005 B1yH1c -0.005 B1yH1i -0.005 B1yH1m -0.005 B1yR1i -0.005 B1yR1m -0.005 B2aC1m -0.005 B2aC1v -0.005 B2cB2w -0.005 B2cC1w -0.005 B2cC2w -0.005 B2cD1w -0.005 B2cD2w -0.005

B2cH1f -0.005 B2cH1n -0.005 B2cH2w -0.005 B2cR1f -0.005 B2cR1n -0.005 B2cR1t -0.005 B2cR2f -0.005 B2dD1q -0.005 B2dR2y -0.005 B2hD1g -0.005 B2hH1h -0.005 B2hH1y -0.005 B2hR1h -0.005 B2hR2m -0.005 B2iH2a -0.005 B2kH1w -0.005 B2kR2a -0.005 B2lC1n -0.005 B2lH2s -0.005 B2mB2w -0.005 B2mC1w -0.005 B2mC2w -0.005 B2mD1w -0.005 B2mD2w -0.005 B2mH2w -0.005 B2mR1y -0.005 B2mR2m -0.005 B2nD1q -0.005 B2nH1w -0.005 B2nH2r -0.005 B2pC1m -0.005 B2qC1q -0.005 B2qH1w -0.005 B2qR2r -0.005 B2qR2y -0.005 B2rR2n -0.005 B2sD1s -0.005 B2sH1s -0.005 B2tD1q -0.005 B2tD2a -0.005 B2tD2r -0.005 B2tH1w -0.005 B2tH2r -0.005 B2tR2y -0.005 B2vH2q -0.005 B2vR1d -0.005 B2wC2c -0.005 B2wC2m -0.005 B2wD1h -0.005 B2wD2c -0.005 B2wH2c -0.005 B2wH2m -0.005 B2yH1l -0.005 B2yH1q -0.005 B2yH1v -0.005 B2yR1q -0.005 B2yR2d -0.005 B2yR2k -0.005 B2yR2n -0.005 B2yR2q -0.005 B2yR2s -0.005 B2yR2t -0.005 C1aC2i -0.005 C1cH1h -0.005 C1cH1y -0.005 C1cR1g -0.005 C1cR1h -0.005 C1eH1t -0.005 C1gH1n -0.005 C1hC1w -0.005 C1hD1w -0.005 C1hD2c -0.005 C1hH1f -0.005 C1hH1n -0.005 C1hH2p -0.005 C1hR1f -0.005 C1hR1n -0.005 C1hR1t -0.005 C1hR2f -0.005 C1iH1h -0.005 C1iH1y -0.005 C1iR1h -0.005 C1lD2t -0.005 C1lH1w -0.005 C1lR2y -0.005 C1mC2p -0.005 C1mD1p -0.005 C1mH1h -0.005 C1mH1y -0.005 C1mR1h -0.005 C1nH2l -0.005 C1pD1f -0.005 C1pD2s -0.005 C1qH1w -0.005 C1qH2a -0.005 C1qR2y -0.005 C1sH1k -0.005 C1sH1w -0.005 C1sH2i -0.005 C1tD1l -0.005 C1tH1w -0.005 C1tR2y -0.005 C1vH1w -0.005 C1vR2y -0.005 C1wC2c -0.005 C1wC2m -0.005 C1wD1h -0.005 C1wD2c -0.005 C1wH1l -0.005 C1wH1q -0.005 C1wH1t -0.005 C1wH1v -0.005 C1wH2c -0.005 C1wH2m -0.005 C1wR1q -0.005 C1wR2d -0.005 C1wR2k -0.005 C1wR2n -0.005 C1wR2q -0.005 C1wR2s -0.005 C1wR2t -0.005 C1yH1m -0.005 C1yR1i -0.005 C1yR1m -0.005 C1yR2h -0.005 C2cC2w -0.005 C2cD1w -0.005 C2cD2w -0.005 C2cH1f -0.005 C2cH1n -0.005 C2cH2w -0.005 C2cR1f -0.005 C2cR1n -0.005 C2cR1t -0.005 C2cR2f -0.005 C2dR2y -0.005 C2gD2i -0.005 C2hH1h -0.005 C2hH1y -0.005 C2hR1h -0.005 C2kH1w -0.005 C2lD1k -0.005 C2mC2w -0.005 C2mD1w -0.005 C2mH2w -0.005 C2nH1w -0.005 C2nR2y -0.005 C2qH1w -0.005 C2qR1e -0.005 C2qR2p -0.005 C2rH2f -0.005 C2tD1n -0.005 C2tH1d -0.005 C2tH1w -0.005 C2tR2y -0.005 C2wD1h -0.005 C2wD2c -0.005 C2wH2c -0.005 C2wH2m -0.005 C2yH1f -0.005

C2yH1n -0.005 C2yR1f -0.005 C2yR1n -0.005 C2yR1t -0.005 C2yR2f -0.005 D1aH1a -0.005 D1cH1h -0.005 D1cH1y -0.005 D1cR1g -0.005 D1cR1h -0.005 D1dR2p -0.005 D1eR1l -0.005 D1gH1n -0.005 D1hD1w -0.005 D1hD2w -0.005 D1hH1m -0.005 D1hH2w -0.005 D1hR1i -0.005 D1hR1m -0.005 D1hR2h -0.005 D1iD2l -0.005 D1lH1w -0.005 D1lH2s -0.005 D1lR1e -0.005 D1lR2y -0.005 D1qH1w -0.005 D1qR2y -0.005 D1sD2e -0.005 D1sH1s -0.005 D1sR2l -0.005 D1tH1w -0.005 D1tR2y -0.005 D1vH1w -0.005 D1vR2y -0.005 D1wD1y -0.005 D1wH1l -0.005 D1wH1q -0.005 D1wH1t -0.005 D1wH1v -0.005 D1wH2c -0.005 D1wH2m -0.005 D1wR1q -0.005 D1wR2d -0.005 D1wR2k -0.005 D1wR2n -0.005 D1wR2q -0.005 D1wR2s -0.005 D1wR2t -0.005 D1yD2c -0.005 D1yH1l -0.005 D1yH1q -0.005 D1yH1t -0.005 D1yH1v -0.005 D1yH2p -0.005 D1yR2d -0.005 D1yR2k -0.005 D1yR2n -0.005 D1yR2q -0.005 D1yR2s -0.005 D1yR2t -0.005 D2cD2w -0.005 D2cH1l -0.005 D2cH1q -0.005 D2cH1t -0.005 D2cH1v -0.005 D2cH2w -0.005 D2cR1q -0.005 D2cR2d -0.005 D2cR2k -0.005 D2cR2n -0.005 D2cR2q -0.005 D2cR2s -0.005 D2cR2t -0.005 D2dH1w -0.005 D2dR2y -0.005 D2fH1h -0.005 D2fH1y -0.005 D2fR1h -0.005 D2hH1m -0.005 D2hR1i -0.005 D2hR1m -0.005 D2iH2g -0.005 D2kH2p -0.005 D2kR2l -0.005 D2nH1w -0.005 D2nR2y -0.005 D2qH1w -0.005 D2qR2y -0.005 D2rR1x -0.005 D2rR2n -0.005 D2tH1w -0.005 D2tH2n -0.005 D2tR2y -0.005 D2vH1w -0.005 D2vR2y -0.005 D2wH2c -0.005 D2wH2m -0.005 D2yH1m -0.005 D2yR1i -0.005 D2yR1m -0.005 D2yR2h -0.005 H1aR2a -0.005 H1aR2k -0.005 H1aR2n -0.005 H1cH1h -0.005 H1cH1y -0.005 H1cR1h -0.005 H1fH2c -0.005 H1fH2y -0.005 H1hH1i -0.005 H1hH1m -0.005 H1hH2h -0.005 H1hR1i -0.005 H1hR1m -0.005 H1iH1y -0.005 H1iR1h -0.005 H1lH1w -0.005 H1lR2y -0.005 H1mH1y -0.005 H1mR1h -0.005 H1nH2c -0.005 H1nH2y -0.005 H1pR2v -0.005 H1qH1w -0.005 H1qR2y -0.005 H1tH1w -0.005 H1tR2y -0.005 H1vH1w -0.005 H1vR2y -0.005 H1wH2k -0.005 H1wH2n -0.005 H1wH2s -0.005 H1wH2t -0.005 H1wR1q -0.005 H1wR2d -0.005 H1wR2k -0.005 H1wR2n -0.005 H1wR2q -0.005 H1wR2s -0.005 H1wR2t -0.005 H1yH2h -0.005 H1yR1i -0.005 H1yR1m -0.005 H2cH2w -0.005 H2cR1f -0.005 H2cR1n -0.005 H2cR1t -0.005 H2cR2f -0.005 H2dR1r -0.005 H2dR2y -0.005 H2hR1h -0.005 H2mH2w -0.005 H2mR1y -0.005 H2mR2m -0.005 H2nR2y -0.005 H2qR2p -0.005 H2sR2a -0.005 H2tR2y -0.005 H2yR1f -0.005 H2yR1n -0.005

H2yR1t -0.005 H2yR2f -0.005 R1hR1i -0.005 R1hR1m -0.005 R1hR2f -0.005 R1qR2r -0.005 R1qR2y -0.005 R1yR2f -0.005 R2dR2y -0.005 R2kR2y -0.005 R2nR2y -0.005 R2qR2y -0.005 R2sR2y -0.005 R2tR2y -0.005 B1aH2e -0.006 B1aR2t -0.006 B1cB2w -0.006 B1cC2w -0.006 B1cD2w -0.006 B1cH2w -0.006 B1cR1p -0.006 B1dH1w -0.006 B1dR2y -0.006 B1fD1p -0.006 B1fH1h -0.006 B1fH1y -0.006 B1fR1h -0.006 B1gB2h -0.006 B1hB2c -0.006 B1hB2m -0.006 B1hC2c -0.006 B1hC2m -0.006 B1hD1y -0.006 B1hD2c -0.006 B1hH1f -0.006 B1hH1n -0.006 B1hH2c -0.006 B1hH2m -0.006 B1hR1f -0.006 B1hR1n -0.006 B1hR2f -0.006 B1iC1e -0.006 B1kH1w -0.006 B1kR2y -0.006 B1lB2r -0.006 B1lD1a -0.006 B1mB1w -0.006 B1mB2g -0.006 B1mB2w -0.006 B1mC1w -0.006 B1mC2w -0.006 B1mD1w -0.006 B1mD2w -0.006 B1mH2w -0.006 B1mR1y -0.006 B1mR2m -0.006 B1nB2a -0.006 B1nD1s -0.006 B1nH1h -0.006 B1nH1y -0.006 B1nR1h -0.006 B1pD2q -0.006 B1pH2f -0.006 B1qD1i -0.006 B1qR2y -0.006 B1rC1i -0.006 B1sC1n -0.006 B1tB2k -0.006 B1tC1v -0.006 B1vD1e -0.006 B1wB2h -0.006 B1wC2h -0.006 B1wC2y -0.006 B1wD2h -0.006 B1wD2y -0.006 B1wH1d -0.006 B1wH1k -0.006 B1wH1s -0.006 B1wH2h -0.006 B1wR1d -0.006 B1wR1k -0.006 B1wR1s -0.006 B1wR2l -0.006 B1wR2v -0.006 B1yC2w -0.006 B1yD2w -0.006 B1yH1f -0.006 B1yH1n -0.006 B1yH2w -0.006 B1yR1f -0.006 B1yR1n -0.006 B1yR2f -0.006 B2cC1h -0.006 B2cD1y -0.006 B2cH1t -0.006 B2cR1l -0.006 B2cR1v -0.006 B2cR2i -0.006 B2cR2k -0.006 B2cR2n -0.006 B2cR2t -0.006 B2eH1w -0.006 B2fH1h -0.006 B2fR1h -0.006 B2gD1k -0.006 B2gH1i -0.006 B2hB2w -0.006 B2hC1w -0.006 B2hC2w -0.006 B2hD1w -0.006 B2hD2w -0.006 B2hH2w -0.006 B2hR1y -0.006 B2hR2h -0.006 B2kH1d -0.006 B2kR2y -0.006 B2lH1w -0.006 B2lR2y -0.006 B2mC1h -0.006 B2mD1y -0.006 B2mD2c -0.006 B2mR1i -0.006 B2mR1m -0.006 B2mR2h -0.006 B2nC1l -0.006 B2nD2t -0.006 B2nR2e -0.006 B2pC1h -0.006 B2pD1y -0.006 B2pR2s -0.006 B2qD2d -0.006 B2sH1w -0.006 B2sR2y -0.006 B2vD1v -0.006 B2vH1w -0.006 B2vR2y -0.006 B2wB2y -0.006 B2wC1c -0.006 B2wC1m -0.006 B2wD2h -0.006 B2wD2y -0.006 B2yC2w -0.006 B2yD2w -0.006 B2yH1d -0.006 B2yH1k -0.006 B2yH1s -0.006 B2yH2w -0.006 B2yR1d -0.006 B2yR1k -0.006 B2yR1s -0.006 B2yR2l -0.006 B2yR2v -0.006 C1aD2v -0.006 C1cD2w -0.006 C1dH1w -0.006 C1dR2y -0.006 C1eD1m -0.006 C1fH1h -0.006 C1fH1y -0.006 C1fR1h -0.006

C1hC2c -0.006 C1hC2m -0.006 C1hC2p -0.006 C1hD1h -0.006 C1hD1y -0.006 C1hD2h -0.006 C1hH1t -0.006 C1hH2c -0.006 C1hH2m -0.006 C1hR1l -0.006 C1hR1v -0.006 C1hR2i -0.006 C1hR2k -0.006 C1hR2n -0.006 C1hR2t -0.006 C1kH1s -0.006 C1kH1w -0.006 C1kR2y -0.006 C1lD1v -0.006 C1mC2w -0.006 C1mD1w -0.006 C1mD2a -0.006 C1mD2w -0.006 C1mH2w -0.006 C1mR1y -0.006 C1qD1i -0.006 C1rD1m -0.006 C1sR2y -0.006 C1tD1v -0.006 C1tD2d -0.006 C1wC2y -0.006 C1wD2h -0.006 C1wD2y -0.006 C1wH1k -0.006 C1wH1s -0.006 C1wR1d -0.006 C1wR1k -0.006 C1wR1s -0.006 C1wR2l -0.006 C1wR2v -0.006 C1yC2w -0.006 C1yD2w -0.006 C1yH1c -0.006 C1yH1i -0.006 C1yH2w -0.006 C2aD2r -0.006 C2aR2q -0.006 C2cD1y -0.006 C2cH1t -0.006 C2cR1l -0.006 C2cR1v -0.006 C2cR2i -0.006 C2cR2k -0.006 C2cR2n -0.006 C2cR2t -0.006 C2fH1h -0.006 C2fR1h -0.006 C2gD2s -0.006 C2gH1c -0.006 C2hC2w -0.006 C2hD1w -0.006 C2hD2w -0.006 C2hH2w -0.006 C2hR1y -0.006 C2hR2m -0.006 C2kR2y -0.006 C2lH1w -0.006 C2lR2y -0.006 C2mD2w -0.006 C2mR1y -0.006 C2mR2m -0.006 C2nD2t -0.006 C2pD1y -0.006 C2sH1k -0.006 C2sH1w -0.006 C2sR1s -0.006 C2sR2v -0.006 C2sR2y -0.006 C2vD1v -0.006 C2vH1w -0.006 C2vR1k -0.006 C2vR2y -0.006 C2wC2y -0.006 C2wD2h -0.006 C2wD2y -0.006 C2wH2h -0.006 C2yD1w -0.006 C2yH1t -0.006 C2yH2w -0.006 C2yR1l -0.006 C2yR1v -0.006 C2yR2i -0.006 C2yR2k -0.006 C2yR2n -0.006 C2yR2t -0.006 D1dH1w -0.006 D1dR2y -0.006 D1hD2c -0.006 D1iH1h -0.006 D1iH1y -0.006 D1iR1h -0.006 D1kH1w -0.006 D1kR2y -0.006 D1mD2a -0.006 D1mH1h -0.006 D1mR1h -0.006 D1nD2e -0.006 D1qD2d -0.006 D1qR1a -0.006 D1rR1q -0.006 D1sH1w -0.006 D1sR2y -0.006 D1tD2q -0.006 D1wD2h -0.006 D1wD2y -0.006 D1wH1d -0.006 D1wH1k -0.006 D1wH1s -0.006 D1wH2h -0.006 D1wR1d -0.006 D1wR1k -0.006 D1wR1s -0.006 D1wR2l -0.006 D1wR2v -0.006 D1yH1d -0.006 D1yH1k -0.006 D1yH1s -0.006 D1yH2c -0.006 D1yR1d -0.006 D1yR1k -0.006 D1yR1s -0.006 D1yR2l -0.006 D1yR2v -0.006 D2cH1d -0.006 D2cH1k -0.006 D2cH1s -0.006 D2cR1d -0.006 D2cR1k -0.006 D2cR2l -0.006 D2cR2v -0.006 D2eH1w -0.006 D2eR2y -0.006 D2hD2w -0.006 D2hH1c -0.006 D2hH1i -0.006 D2hH2w -0.006 D2hR1f -0.006 D2hR1n -0.006 D2hR2f -0.006 D2iH1h -0.006 D2iH1y -0.006 D2iR1h -0.006 D2kH1w -0.006 D2kR2y -0.006 D2lH1w -0.006 D2lR2y -0.006 D2mH1h -0.006 D2mH1y -0.006 D2mR1h -0.006 D2sH1q -0.006

D2sH1w -0.006 D2sH2g -0.006 D2sR2y -0.006 D2tH2d -0.006 D2wD2y -0.006 D2wH2h -0.006 D2yH1i -0.006 D2yH2w -0.006 H1cH2g -0.006 H1cR1p -0.006 H1dH1w -0.006 H1dR2y -0.006 H1eH2l -0.006 H1fH1h -0.006 H1fH1y -0.006 H1fR1h -0.006 H1hH1n -0.006 H1hH2f -0.006 H1hR1f -0.006 H1hR1n -0.006 H1hR2f -0.006 H1iR1a -0.006 H1kH1w -0.006 H1kR1d -0.006 H1kR2y -0.006 H1mR1y -0.006 H1mR2m -0.006 H1nH1y -0.006 H1nR1h -0.006 H1pH2a -0.006 H1sH1w -0.006 H1sR2y -0.006 H1tH2c -0.006 H1tH2y -0.006 H1wH2l -0.006 H1wH2v -0.006 H1wR1d -0.006 H1wR1k -0.006 H1wR1s -0.006 H1wR2l -0.006 H1wR2v -0.006 H1yR1f -0.006 H1yR1n -0.006 H1yR2f -0.006 H2cR1l -0.006 H2cR1v -0.006 H2cR2i -0.006 H2cR2k -0.006 H2cR2n -0.006 H2cR2t -0.006 H2dR2x -0.006 H2fR1h -0.006 H2fR2x -0.006 H2hH2w -0.006 H2hR1p -0.006 H2hR2m -0.006 H2kR2y -0.006 H2lR2y -0.006 H2mR2h -0.006 H2sR2y -0.006 H2vR2y -0.006 H2yR1l -0.006 H2yR1v -0.006 H2yR2i -0.006 H2yR2k -0.006 H2yR2n -0.006 H2yR2t -0.006 R1dR2y -0.006 R1eR2q -0.006 R1fR1h -0.006 R1hR1n -0.006 R1hR2i -0.006 R1hR2k -0.006 R1hR2n -0.006 R1hR2t -0.006 R1iR1y -0.006 R1iR2m -0.006 R1kR2y -0.006 R1mR1y -0.006 R1mR2m -0.006 R1sR2y -0.006 R1yR2i -0.006 R1yR2k -0.006 R1yR2n -0.006 R1yR2t -0.006 R2hR2m -0.006 R2lR2y -0.006 R2vR2y -0.006 B1aB2y -0.007 B1cB1w -0.007 B1cC1w -0.007 B1cR1y -0.007 B1cR2m -0.007 B1eD2d -0.007 B1eH1w -0.007 B1eR2d -0.007 B1eR2y -0.007 B1fB2w -0.007 B1fC2w -0.007 B1fD2w -0.007 B1fH2w -0.007 B1gH1v -0.007 B1hB1m -0.007 B1hB2h -0.007 B1hB2y -0.007 B1hC2h -0.007 B1hD1h -0.007 B1hD2h -0.007 B1hD2y -0.007 B1hR1t -0.007 B1hR1v -0.007 B1hR2i -0.007 B1iB2w -0.007 B1iC1a -0.007 B1iC2p -0.007 B1iC2w -0.007 B1iD2w -0.007 B1iH2w -0.007 B1iR1y -0.007 B1iR2m -0.007 B1kH1s -0.007 B1kR1k -0.007 B1lH2n -0.007 B1mD2c -0.007 B1mR2h -0.007 B1nH2a -0.007 B1pC1c -0.007 B1qD1l -0.007 B1rC1a -0.007 B1rC1q -0.007 B1rH1w -0.007 B1rR2y -0.007 B1sC2i -0.007 B1sD2v -0.007 B1tC2k -0.007 B1tC2v -0.007 B1tH2k -0.007 B1wB1y -0.007 B1wC1c -0.007 B1wC1m -0.007 B1wC1y -0.007 B1wD2m -0.007 B1wH1e -0.007 B1wH1r -0.007 B1wH2y -0.007 B1wR1e -0.007 B1wR1r -0.007 B1wR2e -0.007 B1wR2r -0.007 B1yB2c -0.007 B1yB2m -0.007 B1yC1w -0.007 B1yD1w -0.007 B1yD2c -0.007 B1yR1t -0.007 B1yR1v -0.007 B1yR2i -0.007 B2aR1e -0.007 B2cB2m -0.007 B2cC2m -0.007

B2cD1h -0.007 B2cH1q -0.007 B2cH1v -0.007 B2cH2m -0.007 B2cR1q -0.007 B2cR2d -0.007 B2cR2q -0.007 B2cR2s -0.007 B2dC1p -0.007 B2dH2n -0.007 B2eC1n -0.007 B2eD2k -0.007 B2eH1l -0.007 B2eR2y -0.007 B2fD1e -0.007 B2hC1h -0.007 B2hD1y -0.007 B2hD2c -0.007 B2iC1k -0.007 B2iC2v -0.007 B2iH1h -0.007 B2iH1y -0.007 B2iR1h -0.007 B2kC2a -0.007 B2kC2e -0.007 B2lD1i -0.007 B2mD1h -0.007 B2mD2h -0.007 B2mH1i -0.007 B2mR1n -0.007 B2nH2n -0.007 B2pC1i -0.007 B2pD1q -0.007 B2qC2k -0.007 B2qH2k -0.007 B2rD1t -0.007 B2rH1w -0.007 B2tD1g -0.007 B2vC2e -0.007 B2vC2q -0.007 B2vD1r -0.007 B2wC1i -0.007 B2wD1c -0.007 B2wD2m -0.007 B2yD1y -0.007 B2yH1e -0.007 B2yH1r -0.007 B2yR1e -0.007 B2yR1r -0.007 B2yR2e -0.007 B2yR2r -0.007 C1aH1d -0.007 C1aH1p -0.007 C1cC1w -0.007 C1cC2w -0.007 C1cH2w -0.007 C1cR1y -0.007 C1cR2m -0.007 C1dD2e -0.007 C1dD2i -0.007 C1dR1d -0.007 C1dR2l -0.007 C1eH1w -0.007 C1eR2y -0.007 C1fD1e -0.007 C1hC2h -0.007 C1hD2y -0.007 C1hH1l -0.007 C1hH1q -0.007 C1hH1v -0.007 C1hR1q -0.007 C1hR2d -0.007 C1hR2q -0.007 C1hR2s -0.007 C1iC2w -0.007 C1iH2w -0.007 C1iR1y -0.007 C1iR2m -0.007 C1mC1w -0.007 C1mD2c -0.007 C1mR2m -0.007 C1nC2e -0.007 C1nH1h -0.007 C1nH1y -0.007 C1nH2e -0.007 C1nR1h -0.007 C1pC2l -0.007 C1pR1q -0.007 C1rH1a -0.007 C1rH1w -0.007 C1rR2y -0.007 C1sC2i -0.007 C1sD2v -0.007 C1sH1d -0.007 C1tD1q -0.007 C1vH1r -0.007 C1vH2a -0.007 C1wC1y -0.007 C1wH1e -0.007 C1wH1r -0.007 C1wH2y -0.007 C1wR1e -0.007 C1wR1r -0.007 C1wR2e -0.007 C1wR2r -0.007 C1yD1w -0.007 C1yD2c -0.007 C1yH1f -0.007 C1yR1f -0.007 C1yR1n -0.007 C1yR2f -0.007 C2cC2m -0.007 C2cD1h -0.007 C2cD2h -0.007 C2cH1q -0.007 C2cH1v -0.007 C2cH2m -0.007 C2cR1q -0.007 C2cR2d -0.007 C2cR2q -0.007 C2cR2s -0.007 C2dD1e -0.007 C2dR1r -0.007 C2eH1w -0.007 C2eR2s -0.007 C2eR2y -0.007 C2fD2w -0.007 C2hD1y -0.007 C2hD2c -0.007 C2hD2g -0.007 C2hR2h -0.007 C2iH1y -0.007 C2iR1h -0.007 C2kD1r -0.007 C2kD2v -0.007 C2lR2l -0.007 C2mD1h -0.007 C2mD2c -0.007 C2mH2c -0.007 C2mR1i -0.007 C2mR1m -0.007 C2mR2h -0.007 C2pD2k -0.007 C2qD2a -0.007 C2rD1m -0.007 C2rH1t -0.007 C2rH1w -0.007 C2rR2y -0.007 C2sD1v -0.007 C2sR2a -0.007 C2vD2q -0.007 C2wD1c -0.007 C2wD2m -0.007 C2wH2y -0.007 C2yH1l -0.007 C2yH1q -0.007 C2yH1v -0.007 C2yR1q -0.007 C2yR2d -0.007 C2yR2s -0.007

D1aR1r -0.007 D1cD1w -0.007 D1cD2w -0.007 D1cH2w -0.007 D1cR1y -0.007 D1cR2m -0.007 D1dH1p -0.007 D1eH1w -0.007 D1eH2d -0.007 D1fH1h -0.007 D1fH1y -0.007 D1fR1h -0.007 D1gH1v -0.007 D1hD1y -0.007 D1hH1f -0.007 D1hH1n -0.007 D1hH2c -0.007 D1hH2m -0.007 D1hR1f -0.007 D1hR1n -0.007 D1hR2f -0.007 D1lD2e -0.007 D1lH2v -0.007 D1lR2r -0.007 D1mH2r -0.007 D1nH1h -0.007 D1nH1y -0.007 D1nH2v -0.007 D1nR1h -0.007 D1pR2e -0.007 D1rH1w -0.007 D1rH2k -0.007 D1rR2e -0.007 D1rR2y -0.007 D1wD2m -0.007 D1wH1e -0.007 D1wH2y -0.007 D1wR1e -0.007 D1wR1r -0.007 D1wR2e -0.007 D1wR2r -0.007 D1yD2y -0.007 D1yH1e -0.007 D1yH1r -0.007 D1yR1e -0.007 D1yR1r -0.007 D1yR2e -0.007 D1yR2r -0.007 D2aR1a -0.007 D2cD2h -0.007 D2cH1e -0.007 D2cH1r -0.007 D2cH2m -0.007 D2cR1e -0.007 D2cR1r -0.007 D2cR2e -0.007 D2cR2r -0.007 D2eH2i -0.007 D2fR2m -0.007 D2hH1f -0.007 D2hH1n -0.007 D2hH2c -0.007 D2hR1t -0.007 D2hR1v -0.007 D2hR2i -0.007 D2lH1s -0.007 D2lR1k -0.007 D2mD2w -0.007 D2mH2w -0.007 D2mR1y -0.007 D2rH1w -0.007 D2vH2k -0.007 D2wH2f -0.007 D2yH1f -0.007 D2yH1n -0.007 D2yH2p -0.007 D2yR1f -0.007 D2yR1n -0.007 D2yR2f -0.007 H1cH2m -0.007 H1cR1y -0.007 H1cR2m -0.007 H1dH2s -0.007 H1eH1w -0.007 H1eR2d -0.007 H1eR2y -0.007 H1hR1t -0.007 H1hR1v -0.007 H1hR2i -0.007 H1iH2m -0.007 H1iR1y -0.007 H1iR2m -0.007 H1kR1k -0.007 H1lH2y -0.007 H1mR2h -0.007 H1qH2c -0.007 H1qH2y -0.007 H1rH1w -0.007 H1rR2y -0.007 H1tR2p -0.007 H1vH2c -0.007 H1vH2y -0.007 H1wH2e -0.007 H1wH2r -0.007 H1wR1e -0.007 H1wR1r -0.007 H1wR2e -0.007 H1wR2r -0.007 H1yH2i -0.007 H1yR1t -0.007 H1yR1v -0.007 H1yR2i -0.007 H2cH2m -0.007 H2cR1q -0.007 H2cR2d -0.007 H2cR2q -0.007 H2cR2s -0.007 H2dR1e -0.007 H2dR2r -0.007 H2eR2y -0.007 H2hR1y -0.007 H2hR2h -0.007 H2iR1h -0.007 H2mR1i -0.007 H2mR1m -0.007 H2tR1g -0.007 H2wH2y -0.007 H2yR1q -0.007 H2yR2d -0.007 H2yR2s -0.007 R1aR2i -0.007 R1eR2y -0.007 R1hR1t -0.007 R1hR1v -0.007 R1hR2q -0.007 R1hR2s -0.007 R1iR2h -0.007 R1kR2v -0.007 R1mR2h -0.007 R1nR1y -0.007 R1rR2y -0.007 R1sR2l -0.007 R1yR2d -0.007 R1yR2q -0.007 R1yR2s -0.007 R2eR2y -0.007 R2rR2y -0.007 B1aC1f -0.008 B1cH1m -0.008 B1cR2h -0.008 B1dD1e -0.008 B1dD2l -0.008 B1dR1d -0.008 B1dR2l -0.008 B1fB1w -0.008 B1fC1w -0.008 B1fR2m -0.008 B1hB1y -0.008 B1hC1m -0.008 B1hC2y -0.008

B1hH1t -0.008 B1hH2h -0.008 B1hH2y -0.008 B1hR1l -0.008 B1hR1q -0.008 B1hR2d -0.008 B1hR2k -0.008 B1hR2n -0.008 B1hR2q -0.008 B1hR2t -0.008 B1iB1w -0.008 B1iC1w -0.008 B1iH1m -0.008 B1kB2q -0.008 B1lC2n -0.008 B1lH2d -0.008 B1mB2c -0.008 B1mC2c -0.008 B1mD1h -0.008 B1mD1y -0.008 B1mD2h -0.008 B1mH1c -0.008 B1mH1i -0.008 B1mH2c -0.008 B1mR1i -0.008 B1mR1m -0.008 B1nB2w -0.008 B1nC2r -0.008 B1nC2w -0.008 B1nH2r -0.008 B1nH2w -0.008 B1nR1y -0.008 B1pB2h -0.008 B1pC2l -0.008 B1rD1f -0.008 B1rD2k -0.008 B1rD2r -0.008 B1rR2s -0.008 B1tC2s -0.008 B1tH1h -0.008 B1tH1y -0.008 B1tR1h -0.008 B1vB2k -0.008 B1vH1r -0.008 B1vR1h -0.008 B1wB2f -0.008 B1wC1f -0.008 B1wC2f -0.008 B1wD2f -0.008 B1wH2f -0.008 B1yB2h -0.008 B1yC1h -0.008 B1yC2m -0.008 B1yD2h -0.008 B1yH1t -0.008 B1yH2m -0.008 B1yR1l -0.008 B1yR1q -0.008 B1yR2d -0.008 B1yR2k -0.008 B1yR2n -0.008 B1yR2q -0.008 B1yR2t -0.008 B2aC1t -0.008 B2cB2h -0.008 B2cB2y -0.008 B2cC1m -0.008 B2cC2h -0.008 B2cH1k -0.008 B2cH1s -0.008 B2cR1d -0.008 B2cR1k -0.008 B2cR2l -0.008 B2dC2n -0.008 B2dH1r -0.008 B2dR1h -0.008 B2eC2s -0.008 B2eH2p -0.008 B2fB2w -0.008 B2fC1w -0.008 B2fC2w -0.008 B2fD1w -0.008 B2fD2w -0.008 B2fH2w -0.008 B2gC2v -0.008 B2gD1m -0.008 B2hB2m -0.008 B2hC1p -0.008 B2hC2c -0.008 B2hC2m -0.008 B2hD1h -0.008 B2hH1c -0.008 B2hH1i -0.008 B2hH1m -0.008 B2hH2c -0.008 B2hH2m -0.008 B2hR1i -0.008 B2hR1m -0.008 B2iC2g -0.008 B2iC2s -0.008 B2iH2g -0.008 B2iH2s -0.008 B2kH2e -0.008 B2lD2i -0.008 B2mB2y -0.008 B2mC1y -0.008 B2mC2h -0.008 B2mD2y -0.008 B2mH1f -0.008 B2mH1n -0.008 B2mR1f -0.008 B2mR2f -0.008 B2nC2n -0.008 B2nH1h -0.008 B2nH1y -0.008 B2nR1h -0.008 B2nR1r -0.008 B2qC2t -0.008 B2qH1h -0.008 B2qH1y -0.008 B2qR1h -0.008 B2rC1q -0.008 B2rR2d -0.008 B2rR2y -0.008 B2sH2l -0.008 B2tH1y -0.008 B2tR1h -0.008 B2vH2e -0.008 B2wC1f -0.008 B2wC2f -0.008 B2wD1f -0.008 B2wD1m -0.008 B2wH2f -0.008 B2yC2c -0.008 B2yD1h -0.008 B2yD2a -0.008 B2yD2c -0.008 B2yH2c -0.008 B2yH2m -0.008 C1aC2l -0.008 C1aD1l -0.008 C1cC1h -0.008 C1cD2c -0.008 C1cH1m -0.008 C1cR2h -0.008 C1dR1k -0.008 C1fC1w -0.008 C1fC2w -0.008 C1fD1w -0.008 C1fD2w -0.008 C1fH2w -0.008 C1fR2m -0.008 C1hC1m -0.008 C1hC1y -0.008 C1hC2y -0.008 C1hD1c -0.008 C1hD1p -0.008 C1hD2f -0.008 C1hD2m -0.008 C1hH1k -0.008

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C1hH1s -0.008 C1hH2h -0.008 C1hH2y -0.008 C1hR1d -0.008 C1hR1k -0.008 C1iH1m -0.008 C1iR2g -0.008 C1iR2h -0.008 C1mC2c -0.008 C1mD1h -0.008 C1mD1y -0.008 C1mH2c -0.008 C1mR1i -0.008 C1mR1m -0.008 C1mR2h -0.008 C1nC2a -0.008 C1nD1d -0.008 C1qC2r -0.008 C1qD1v -0.008 C1qD2a -0.008 C1qH2r -0.008 C1rR2s -0.008 C1tH1h -0.008 C1tH1y -0.008 C1tR1e -0.008 C1tR1h -0.008 C1vC2k -0.008 C1vD2k -0.008 C1vH1y -0.008 C1vH2k -0.008 C1vR1h -0.008 C1wD2f -0.008 C1yC2m -0.008 C1yD1y -0.008 C1yH1g -0.008 C1yH2m -0.008 C1yR1t -0.008 C1yR1v -0.008 C2aH1s -0.008 C2aR1k -0.008 C2cC2h -0.008 C2cH1k -0.008 C2cH1s -0.008 C2cR1d -0.008 C2cR1k -0.008 C2cR2l -0.008 C2dH1h -0.008 C2dH1y -0.008 C2dR1e -0.008 C2dR1h -0.008 C2dR2r -0.008 C2dR2x -0.008 C2eH1l -0.008 C2fC2w -0.008 C2fD1a -0.008 C2fH2w -0.008 C2fR2m -0.008 C2fR2x -0.008 C2hC2m -0.008 C2hD1h -0.008 C2hH1c -0.008 C2hH1i -0.008 C2hH1m -0.008 C2hH2c -0.008 C2hH2m -0.008 C2hR1i -0.008 C2hR1m -0.008 C2kH1a -0.008 C2lD2e -0.008 C2mH1c -0.008 C2mH1i -0.008 C2nH1h -0.008 C2nH1y -0.008 C2nR1h -0.008 C2pD2y -0.008 C2qH1h -0.008 C2qH1y -0.008 C2qR1h -0.008 C2rD1f -0.008 C2rD2d -0.008 C2sD2v -0.008 C2wD1f -0.008 C2wD1m -0.008 C2wD2f -0.008 C2wH2f -0.008 C2yD1y -0.008 C2yD2c -0.008 C2yH1k -0.008 C2yH1s -0.008 C2yR1d -0.008 C2yR1k -0.008 D1aH1i -0.008 D1aR1p -0.008 D1cD2c -0.008 D1cH1m -0.008 D1cR2h -0.008 D1eR2y -0.008 D1fD2w -0.008 D1fH2r -0.008 D1fH2w -0.008 D1hD2y -0.008 D1hH1g -0.008 D1hR1t -0.008 D1hR1v -0.008 D1iR1y -0.008 D1iR2m -0.008 D1kD2v -0.008 D1kR1s -0.008 D1lH1h -0.008 D1lH1y -0.008 D1lR1h -0.008 D1mD2w -0.008 D1mH2w -0.008 D1mR1y -0.008 D1pR2h -0.008 D1sH1k -0.008 D1vR2e -0.008 D1wD2f -0.008 D1yD2m -0.008 D1yH2h -0.008 D1yH2y -0.008 D2aH1r -0.008 D2cD2y -0.008 D2cH2h -0.008 D2cH2y -0.008 D2dH2r -0.008 D2eR1d -0.008 D2fD2w -0.008 D2fH1g -0.008 D2fH2w -0.008 D2gR2h -0.008 D2hR1l -0.008 D2hR1q -0.008 D2hR2d -0.008 D2hR2k -0.008 D2hR2n -0.008 D2hR2q -0.008 D2hR2t -0.008 D2iR1y -0.008 D2iR2m -0.008 D2lH2q -0.008 D2mR2a -0.008 D2mR2m -0.008 D2nH2n -0.008 D2qH1h -0.008 D2qH1y -0.008 D2qR1e -0.008 D2qR1h -0.008 D2rR2y -0.008 D2tH1h -0.008 D2tH1y -0.008 D2tR1h -0.008 D2yR1t -0.008 D2yR1v -0.008 H1aH2k -0.008 H1cH1m -0.008 H1cR2h -0.008 H1dR1d -0.008 H1dR2l -0.008 H1fR2m -0.008

H1hH1t -0.008 H1hH2d -0.008 H1hH2n -0.008 H1hH2q -0.008 H1hR1l -0.008 H1hR1q -0.008 H1hR2d -0.008 H1hR2k -0.008 H1hR2n -0.008 H1hR2q -0.008 H1hR2t -0.008 H1iH1m -0.008 H1iR2g -0.008 H1kH2c -0.008 H1kH2y -0.008 H1mR1m -0.008 H1nR1y -0.008 H1nR2m -0.008 H1sH2c -0.008 H1sH2y -0.008 H1tH1y -0.008 H1tH2r -0.008 H1vH2e -0.008 H1yH2d -0.008 H1yH2n -0.008 H1yH2q -0.008 H1yH2t -0.008 H1yR1l -0.008 H1yR1q -0.008 H1yR2d -0.008 H1yR2k -0.008 H1yR2n -0.008 H1yR2q -0.008 H1yR2t -0.008 H2cR1d -0.008 H2cR1k -0.008 H2cR2l -0.008 H2dR1h -0.008 H2eR2s -0.008 H2fH2w -0.008 H2fR2m -0.008 H2mR1f -0.008 H2mR1n -0.008 H2nR1h -0.008 H2pR2q -0.008 H2qR1h -0.008 H2rR2y -0.008 H2tR1h -0.008 H2yR1d -0.008 H2yR1k -0.008 R1fR1y -0.008 R1fR2m -0.008 R1hR1l -0.008 R1hR1q -0.008 R1hR2l -0.008 R1iR1m -0.008 R1nR2m -0.008 R1yR2l -0.008 R2fR2m -0.008 B1aC1i -0.009 B1aD1l -0.009 B1cB1h -0.009 B1cB2c -0.009 B1cC2a -0.009 B1cC2c -0.009 B1cC2m -0.009 B1cD2p -0.009 B1cH1i -0.009 B1cH2c -0.009 B1cH2m -0.009 B1cR1i -0.009 B1cR1m -0.009 B1dC2l -0.009 B1dH2q -0.009 B1dR1k -0.009 B1fC1h -0.009 B1fD2c -0.009 B1hB2f -0.009 B1hC1c -0.009 B1hC2f -0.009 B1hD2f -0.009 B1hH1l -0.009 B1hH1q -0.009 B1hH1v -0.009 B1hH2f -0.009 B1hR2s -0.009 B1iD1w -0.009 B1iD2c -0.009 B1iH1c -0.009 B1iR1i -0.009 B1iR1m -0.009 B1kD2s -0.009 B1lB2d -0.009 B1lB2n -0.009 B1lC1v -0.009 B1lH1h -0.009 B1lH1y -0.009 B1lR1h -0.009 B1mC1p -0.009 B1mD2y -0.009 B1mR1n -0.009 B1nB1w -0.009 B1nC1w -0.009 B1nD1p -0.009 B1nD1w -0.009 B1qB2r -0.009 B1qH1h -0.009 B1qH1y -0.009 B1sC1p -0.009 B1sH1h -0.009 B1sH1y -0.009 B1sR1h -0.009 B1tR1x -0.009 B1vH1h -0.009 B1vH1y -0.009 B1vH2s -0.009 B1vR1e -0.009 B1wC1i -0.009 B1wC1n -0.009 B1wD1f -0.009 B1wD1m -0.009 B1wD2i -0.009 B1yC2h -0.009 B1yD1h -0.009 B1yD2y -0.009 B1yH1l -0.009 B1yH1q -0.009 B1yH1v -0.009 B1yR2s -0.009 B2aC1c -0.009 B2aC1n -0.009 B2aC2t -0.009 B2aC2y -0.009 B2cC1c -0.009 B2cD1c -0.009 B2cD2m -0.009 B2cH1d -0.009 B2cH2h -0.009 B2cR2v -0.009 B2dD2n -0.009 B2dH1h -0.009 B2dH1y -0.009 B2dR1e -0.009 B2fC1h -0.009 B2fD1y -0.009 B2fR2m -0.009 B2gC2d -0.009 B2gH2d -0.009 B2hB2y -0.009 B2hC1m -0.009 B2hC1y -0.009 B2hC2h -0.009 B2hD1a -0.009 B2hD2h -0.009 B2hR1n -0.009 B2hR2f -0.009 B2iD2e -0.009 B2iD2l -0.009 B2iR1y -0.009 B2iR2m -0.009

B2kH1h -0.009 B2kH1y -0.009 B2kR1h -0.009 B2mC2y -0.009 B2mH2h -0.009 B2mH2y -0.009 B2mR1t -0.009 B2pC1n -0.009 B2pR2d -0.009 B2pR2q -0.009 B2qD1k -0.009 B2rD2s -0.009 B2sR2v -0.009 B2tC2d -0.009 B2tD2n -0.009 B2tH2d -0.009 B2vD1q -0.009 B2vR2v -0.009 B2wC1n -0.009 B2wD1l -0.009 B2wD1n -0.009 B2wH2i -0.009 B2yC1y -0.009 B2yC2h -0.009 B2yC2m -0.009 B2yD2h -0.009 C1aR1n -0.009 C1cC2c -0.009 C1cD1h -0.009 C1cD1y -0.009 C1cH1i -0.009 C1cH2c -0.009 C1cH2m -0.009 C1cR1i -0.009 C1cR1m -0.009 C1dH2i -0.009 C1eD2k -0.009 C1eH2r -0.009 C1hH1d -0.009 C1hR1s -0.009 C1hR2v -0.009 C1iC1w -0.009 C1iD1w -0.009 C1iD2c -0.009 C1iH1i -0.009 C1iR1i -0.009 C1iR1m -0.009 C1kD2q -0.009 C1kH1k -0.009 C1kR1s -0.009 C1lC2a -0.009 C1lH1h -0.009 C1lH1y -0.009 C1lR1h -0.009 C1mC2h -0.009 C1mD2h -0.009 C1mH1c -0.009 C1mH1i -0.009 C1nC1w -0.009 C1nC2w -0.009 C1nD2w -0.009 C1nH2w -0.009 C1nR1y -0.009 C1nR2m -0.009 C1pR2k -0.009 C1qH1h -0.009 C1qH1y -0.009 C1vR1e -0.009 C1wD1f -0.009 C1wD1m -0.009 C1wD2i -0.009 C1wH2i -0.009 C1yC2h -0.009 C1yD1h -0.009 C1yD2y -0.009 C1yH1t -0.009 C1yR1l -0.009 C1yR2d -0.009 C1yR2i -0.009 C1yR2k -0.009 C1yR2n -0.009 C1yR2t -0.009 C2aH2s -0.009 C2cC2y -0.009 C2cD1c -0.009 C2cD2m -0.009 C2cH1d -0.009 C2cH2h -0.009 C2cH2y -0.009 C2cR2v -0.009 C2dD2n -0.009 C2eD1i -0.009 C2eH1q -0.009 C2fD1y -0.009 C2fD2c -0.009 C2fR2h -0.009 C2hD1a -0.009 C2hD2h -0.009 C2hR1n -0.009 C2iR1y -0.009 C2iR2m -0.009 C2kH1h -0.009 C2kH1y -0.009 C2kR1h -0.009 C2lD1p -0.009 C2lH1s -0.009 C2lH2i -0.009 C2lR1d -0.009 C2mC2y -0.009 C2mD2y -0.009 C2mH1n -0.009 C2mH2h -0.009 C2mR1f -0.009 C2mR1n -0.009 C2pR2q -0.009 C2rD2s -0.009 C2tD2s -0.009 C2tH1y -0.009 C2tR1h -0.009 C2vD1q -0.009 C2vD2t -0.009 C2vR1s -0.009 C2wD1i -0.009 C2wD1l -0.009 C2wD1n -0.009 C2wD2i -0.009 C2wH2i -0.009 C2yH1d -0.009 C2yH2c -0.009 C2yH2m -0.009 C2yR1s -0.009 C2yR2v -0.009 D1cD1h -0.009 D1cD1y -0.009 D1cH2c -0.009 D1cH2m -0.009 D1cR1i -0.009 D1cR1m -0.009 D1dH1s -0.009 D1dR1k -0.009 D1fD1w -0.009 D1fR2m -0.009 D1hD2m -0.009 D1hH1t -0.009 D1hH2h -0.009 D1hR1l -0.009 D1hR2d -0.009 D1hR2i -0.009 D1hR2k -0.009 D1hR2n -0.009 D1hR2t -0.009 D1iD2w -0.009 D1iH2e -0.009 D1iH2w -0.009 D1lD2w -0.009 D1lH2w -0.009 D1mD1w -0.009 D1mR2m -0.009 D1nD2w -0.009 D1nH2w -0.009

D1pD2c -0.009 D1pD2d -0.009 D1pR1e -0.009 D1qH1h -0.009 D1qH1y -0.009 D1qR1h -0.009 D1tH1h -0.009 D1tH1y -0.009 D1tR1h -0.009 D1tR2e -0.009 D1vH1h -0.009 D1vH1y -0.009 D1vH2v -0.009 D1vR1h -0.009 D1vR1r -0.009 D1wD2i -0.009 D1wH2i -0.009 D1yH2f -0.009 D2aR1n -0.009 D2cD2m -0.009 D2cH2f -0.009 D2dH1h -0.009 D2dH1y -0.009 D2dH2n -0.009 D2dH2p -0.009 D2dR1h -0.009 D2eH1s -0.009 D2eH2l -0.009 D2eR2l -0.009 D2fH1m -0.009 D2fR1a -0.009 D2fR1i -0.009 D2fR1m -0.009 D2fR2h -0.009 D2hD2y -0.009 D2hR2s -0.009 D2iD2w -0.009 D2iH2w -0.009 D2iR2h -0.009 D2mH2c -0.009 D2mR1i -0.009 D2mR1m -0.009 D2mR2h -0.009 D2nH1h -0.009 D2nH1y -0.009 D2nH2d -0.009 D2nH2t -0.009 D2nR1h -0.009 D2pH2n -0.009 D2sH2r -0.009 D2vH1h -0.009 D2vH1y -0.009 D2vR1h -0.009 D2wH2i -0.009 D2wH2q -0.009 D2yH2m -0.009 D2yR1l -0.009 D2yR2d -0.009 D2yR2i -0.009 D2yR2k -0.009 D2yR2n -0.009 D2yR2q -0.009 D2yR2t -0.009 H1aH2a -0.009 H1cH1i -0.009 H1cR1i -0.009 H1cR1m -0.009 H1dH2c -0.009 H1dH2y -0.009 H1fH2m -0.009 H1hH1l -0.009 H1hH1q -0.009 H1hH1v -0.009 H1hH2k -0.009 H1hH2s -0.009 H1hR2s -0.009 H1iR1i -0.009 H1iR1m -0.009 H1lH1y -0.009 H1lH2e -0.009 H1lR1h -0.009 H1mH2f -0.009 H1mH2h -0.009 H1nH2m -0.009 H1pR2k -0.009 H1qH1y -0.009 H1vH1y -0.009 H1vR1h -0.009 H1yH2k -0.009 H1yH2s -0.009 H1yR2s -0.009 H2cH2h -0.009 H2cH2y -0.009 H2cR2v -0.009 H2fR1i -0.009 H2fR1m -0.009 H2fR2h -0.009 H2hH2m -0.009 H2hR1i -0.009 H2hR1m -0.009 H2iH2w -0.009 H2iR2m -0.009 H2kR1h -0.009 H2mH2y -0.009 H2mR2f -0.009 H2sR1h -0.009 H2tR2a -0.009 H2yR1s -0.009 H2yR2v -0.009 R1fR2h -0.009 R1hR2v -0.009 R1iR1n -0.009 R1mR1n -0.009 R1nR2h -0.009 R1tR1y -0.009 R1tR2m -0.009 R1vR1y -0.009 R1yR2v -0.009 B1cB2h -0.010 B1cB2y -0.010 B1cC2h -0.010 B1cD2h -0.010 B1cH2a -0.010 B1cR1n -0.010 B1dB2l -0.010 B1eC1q -0.010 B1eC2v -0.010 B1fB1h -0.010 B1fB2c -0.010 B1fB2m -0.010 B1fC2c -0.010 B1fD1h -0.010 B1fD1y -0.010 B1fH1m -0.010 B1fH2c -0.010 B1fH2m -0.010 B1fR1i -0.010 B1fR2h -0.010 B1gB2c -0.010 B1gC2c -0.010 B1gH2c -0.010 B1hB1i -0.010 B1hD1m -0.010 B1hH1k -0.010 B1hH1s -0.010 B1hR1d -0.010 B1hR1k -0.010 B1hR1s -0.010 B1hR2l -0.010 B1iB2m -0.010 B1iC2c -0.010 B1iD1y -0.010 B1iH2c -0.010 B1iH2m -0.010 B1iR1n -0.010 B1kH1h -0.010 B1kH1y -0.010 B1kR1h -0.010 B1mB1y -0.010 B1mC1y -0.010

B1mC2y -0.010 B1mH1f -0.010 B1mH1n -0.010 B1mH2h -0.010 B1mR1f -0.010 B1mR2f -0.010 B1nD2c -0.010 B1nD2g -0.010 B1nH1m -0.010 B1nR1i -0.010 B1nR1m -0.010 B1pC1f -0.010 B1pD1i -0.010 B1qC1e -0.010 B1sD1i -0.010 B1tB2w -0.010 B1tC2w -0.010 B1tD2w -0.010 B1tH1a -0.010 B1tH2v -0.010 B1tH2w -0.010 B1tR1y -0.010 B1vB2w -0.010 B1vC2w -0.010 B1vD2a -0.010 B1vD2w -0.010 B1vH2w -0.010 B1wB2q -0.010 B1wC2q -0.010 B1wD1l -0.010 B1wD1n -0.010 B1wD2q -0.010 B1wD2v -0.010 B1wH2q -0.010 B1wR2x -0.010 B1yC2y -0.010 B1yD2m -0.010 B1yH1k -0.010 B1yH1s -0.010 B1yH2h -0.010 B1yH2y -0.010 B1yR1d -0.010 B1yR1k -0.010 B1yR1s -0.010 B1yR2l -0.010 B2aH1w -0.010 B2aR2y -0.010 B2cC1f -0.010 B2cC2f -0.010 B2cD2f -0.010 B2cH1e -0.010 B2cH1r -0.010 B2cH2f -0.010 B2cR1e -0.010 B2cR1r -0.010 B2cR2e -0.010 B2dC1q -0.010 B2eD2i -0.010 B2fD2c -0.010 B2fH1m -0.010 B2fR1i -0.010 B2fR1m -0.010 B2fR2h -0.010 B2hC2y -0.010 B2hD1c -0.010 B2hD2y -0.010 B2hH1f -0.010 B2hH1n -0.010 B2hH2h -0.010 B2hH2y -0.010 B2hR1f -0.010 B2iB2w -0.010 B2iC1w -0.010 B2iC2w -0.010 B2iD1w -0.010 B2iH2v -0.010 B2iH2w -0.010 B2lC1a -0.010 B2lD1a -0.010 B2mC1f -0.010 B2mC1i -0.010 B2mC2f -0.010 B2mD2f -0.010 B2mH2f -0.010 B2mR1l -0.010 B2mR2i -0.010 B2mR2k -0.010 B2mR2n -0.010 B2mR2t -0.010 B2nD2d -0.010 B2pH2s -0.010 B2qB2w -0.010 B2qC1w -0.010 B2qC2w -0.010 B2qD1w -0.010 B2qD2w -0.010 B2qH2w -0.010 B2qR1y -0.010 B2rC1n -0.010 B2sC1v -0.010 B2sC2e -0.010 B2sH1h -0.010 B2sH1y -0.010 B2sR1h -0.010 B2tR1y -0.010 B2vH1h -0.010 B2vH1y -0.010 B2vR1h -0.010 B2wC1t -0.010 B2wC1v -0.010 B2wC2i -0.010 B2wC2q -0.010 B2wD1q -0.010 B2wD2q -0.010 B2wD2v -0.010 B2wH2q -0.010 B2yC1c -0.010 B2yC1m -0.010 B2yC2y -0.010 B2yD2y -0.010 B2yH2h -0.010 C1cC2h -0.010 C1cC2m -0.010 C1cD2h -0.010 C1cR1n -0.010 C1dC2i -0.010 C1dH1h -0.010 C1dR1h -0.010 C1fC1h -0.010 C1fC2c -0.010 C1fD1y -0.010 C1fD2p -0.010 C1fH1m -0.010 C1fH2c -0.010 C1fR1i -0.010 C1fR2h -0.010 C1gC2c -0.010 C1gH2c -0.010 C1hC1i -0.010 C1hD1m -0.010 C1hH1e -0.010 C1hH1r -0.010 C1hR1e -0.010 C1hR1r -0.010 C1hR2e -0.010 C1iD1e -0.010 C1iD1y -0.010 C1iH2m -0.010 C1iR1n -0.010 C1kH1h -0.010 C1kH1y -0.010 C1kR1h -0.010 C1lC2p -0.010 C1mC2y -0.010 C1mD2y -0.010 C1mR1f -0.010 C1mR1n -0.010 C1nD1w -0.010 C1nH2a -0.010 C1nR2h -0.010

C1qH2d -0.010 C1rD1t -0.010 C1sD1i -0.010 C1sD2g -0.010 C1sH1a -0.010 C1sR1h -0.010 C1tC2s -0.010 C1tC2w -0.010 C1tD2w -0.010 C1tH2w -0.010 C1vD2w -0.010 C1vR2x -0.010 C1wC2i -0.010 C1wC2q -0.010 C1wD1i -0.010 C1wD1l -0.010 C1wD1n -0.010 C1wD2q -0.010 C1wD2v -0.010 C1wH2q -0.010 C1wR2x -0.010 C1yD2m -0.010 C1yH1q -0.010 C1yH1v -0.010 C1yH2h -0.010 C1yR1q -0.010 C1yR2s -0.010 C2aD1k -0.010 C2aH1w -0.010 C2aR1q -0.010 C2aR2y -0.010 C2cC2f -0.010 C2cH1e -0.010 C2cH1r -0.010 C2cH2f -0.010 C2cR1e -0.010 C2cR1r -0.010 C2cR2e -0.010 C2dD2d -0.010 C2fD1h -0.010 C2fH1m -0.010 C2fH2c -0.010 C2fR1i -0.010 C2fR1m -0.010 C2gH1n -0.010 C2hC2y -0.010 C2hD1c -0.010 C2hD2y -0.010 C2hH1f -0.010 C2hH1n -0.010 C2hR2f -0.010 C2iC2w -0.010 C2iD1w -0.010 C2iD2w -0.010 C2iH2w -0.010 C2mD1c -0.010 C2mH2y -0.010 C2mR2f -0.010 C2nD2d -0.010 C2nR2x -0.010 C2pD2d -0.010 C2pH1l -0.010 C2qC2w -0.010 C2qD1w -0.010 C2qD2l -0.010 C2qD2w -0.010 C2qH2w -0.010 C2qR1y -0.010 C2qR2m -0.010 C2rR1a -0.010 C2sH1h -0.010 C2sH1y -0.010 C2tD1q -0.010 C2vH1h -0.010 C2vH1y -0.010 C2vR1h -0.010 C2wD1g -0.010 C2wD1q -0.010 C2wD1v -0.010 C2wD2q -0.010 C2wD2v -0.010 C2wH2q -0.010 C2yD2h -0.010 C2yH1e -0.010 C2yH1r -0.010 C2yR1r -0.010 C2yR2e -0.010 D1aH2f -0.010 D1cD2h -0.010 D1cR1n -0.010 D1dH1h -0.010 D1dH1y -0.010 D1fD2a -0.010 D1fR2h -0.010 D1gH2w -0.010 D1gR1m -0.010 D1hD2f -0.010 D1hH1l -0.010 D1hH1q -0.010 D1hH1v -0.010 D1hH2f -0.010 D1hR1q -0.010 D1hR2s -0.010 D1iD1w -0.010 D1iD2g -0.010 D1iH1m -0.010 D1iR1i -0.010 D1iR1m -0.010 D1iR2h -0.010 D1kD2q -0.010 D1kH1h -0.010 D1kR1h -0.010 D1lD1w -0.010 D1lR1y -0.010 D1mD1y -0.010 D1mD2c -0.010 D1mR1i -0.010 D1mR1m -0.010 D1mR2h -0.010 D1nD1w -0.010 D1nR1y -0.010 D1nR2m -0.010 D1qD2w -0.010 D1qH2s -0.010 D1qH2w -0.010 D1sD2v -0.010 D1sH1h -0.010 D1sH1y -0.010 D1sR1h -0.010 D1vD2l -0.010 D1vD2w -0.010 D1vH2w -0.010 D1vR1g -0.010 D1wD2v -0.010 D1wH2q -0.010 D1wR2x -0.010 D1yD2i -0.010 D1yR2x -0.010 D2cD2f -0.010 D2cR2x -0.010 D2dH2d -0.010 D2eH1h -0.010 D2eH1y -0.010 D2fH1c -0.010 D2fH1i -0.010 D2hD2m -0.010 D2hH1l -0.010 D2hH1q -0.010 D2hH1v -0.010 D2hH2h -0.010 D2hH2y -0.010 D2hR1d -0.010 D2hR1k -0.010 D2hR1s -0.010 D2hR2l -0.010 D2iH1m -0.010 D2iR1i -0.010 D2iR1m -0.010 D2iR2a -0.010 D2kH1h -0.010

D2kR1h -0.010 D2lH1h -0.010 D2lH1y -0.010 D2lR1h -0.010 D2qD2w -0.010 D2qH2v -0.010 D2qH2w -0.010 D2qR2r -0.010 D2rR1q -0.010 D2tR1y -0.010 D2vD2w -0.010 D2vH2w -0.010 D2yH1q -0.010 D2yH1v -0.010 D2yR1q -0.010 D2yR2s -0.010 H1cH2f -0.010 H1cH2h -0.010 H1cR1n -0.010 H1eH2c -0.010 H1eH2y -0.010 H1fH1m -0.010 H1fR1i -0.010 H1hH1k -0.010 H1hH1s -0.010 H1hR1d -0.010 H1hR1k -0.010 H1hR1s -0.010 H1hR2l -0.010 H1iH2f -0.010 H1iH2h -0.010 H1iR1n -0.010 H1kH1y -0.010 H1kR1h -0.010 H1kR2v -0.010 H1lR2e -0.010 H1mH1n -0.010 H1mR1f -0.010 H1mR2f -0.010 H1nH2g -0.010 H1nR1i -0.010 H1nR1m -0.010 H1qH2e -0.010 H1rH2c -0.010 H1rH2y -0.010 H1sH1y -0.010 H1sH2p -0.010 H1sR1h -0.010 H1tR1y -0.010 H1tR2m -0.010 H1vR1e -0.010 H1wH2a -0.010 H1wR2x -0.010 H1yR1d -0.010 H1yR1k -0.010 H1yR1s -0.010 H1yR2l -0.010 H2cH2f -0.010 H2cR1e -0.010 H2cR1r -0.010 H2cR2e -0.010 H2hR1n -0.010 H2hR2f -0.010 H2lR1d -0.010 H2lR2l -0.010 H2nR2x -0.010 H2qH2w -0.010 H2qR1y -0.010 H2qR2m -0.010 H2tR1y -0.010 H2yR1r -0.010 H2yR2e -0.010 R1dR1h -0.010 R1fR1i -0.010 R1fR1m -0.010 R1hR1k -0.010 R1hR1s -0.010 R1hR2e -0.010 R1iR2f -0.010 R1lR1y -0.010 R1lR2m -0.010 R1qR2m -0.010 R1rR2s -0.010 R1tR2h -0.010 R1yR2e -0.010 R2fR2h -0.010 R2iR2m -0.010 R2kR2m -0.010 R2mR2n -0.010 R2mR2t -0.010 R2xR2y -0.010 B1aC1m -0.011 B1aH1w -0.011 B1aR2y -0.011 B1cB1m -0.011 B1cC1m -0.011 B1cH1f -0.011 B1cH1n -0.011 B1cH2h -0.011 B1cR1f -0.011 B1dC2q -0.011 B1dH1h -0.011 B1dH1y -0.011 B1dR1h -0.011 B1fB2h -0.011 B1fC2h -0.011 B1fC2m -0.011 B1fD2h -0.011 B1fH1c -0.011 B1fH1i -0.011 B1hB1n -0.011 B1hC1i -0.011 B1hC2i -0.011 B1hD1f -0.011 B1hD2i -0.011 B1hH1d -0.011 B1hH2i -0.011 B1hH2q -0.011 B1hR2v -0.011 B1iB2h -0.011 B1iC2h -0.011 B1iC2m -0.011 B1iD2h -0.011 B1iH1f -0.011 B1iH1n -0.011 B1iR1f -0.011 B1lB2w -0.011 B1lC2w -0.011 B1lD2w -0.011 B1lH2w -0.011 B1mC1c -0.011 B1mD1c -0.011 B1mD2f -0.011 B1mH1g -0.011 B1mR1t -0.011 B1nB2c -0.011 B1nB2m -0.011 B1nC1h -0.011 B1nD1y -0.011 B1qB2w -0.011 B1qC2d -0.011 B1qC2w -0.011 B1qH2d -0.011 B1qH2w -0.011 B1rB2s -0.011 B1rC1n -0.011 B1sB2a -0.011 B1tB1w -0.011 B1tB2p -0.011 B1tD1w -0.011 B1tH2p -0.011 B1vB1w -0.011 B1vC1w -0.011 B1vD1w -0.011 B1vR1y -0.011 B1vR2m -0.011 B1vR2r -0.011 B1wB2n -0.011 B1wB2t -0.011 B1wC1v -0.011

B1wD1q -0.011 B1wD1v -0.011 B1wD2d -0.011 B1wD2n -0.011 B1wD2t -0.011 B1wH1a -0.011 B1wR1a -0.011 B1wR1p -0.011 B1wR1x -0.011 B1wR2a -0.011 B1yC1a -0.011 B1yC1m -0.011 B1yC1y -0.011 B1yD1p -0.011 B1yH1d -0.011 B1yR2v -0.011 B2aC2s -0.011 B2aH2s -0.011 B2aH2y -0.011 B2cB2f -0.011 B2cD1m -0.011 B2dB2w -0.011 B2dC1w -0.011 B2dD2g -0.011 B2dD2w -0.011 B2dR2m -0.011 B2eD1n -0.011 B2eH1h -0.011 B2eH1y -0.011 B2eH2i -0.011 B2eR1h -0.011 B2fB2m -0.011 B2fH2m -0.011 B2gC2w -0.011 B2gH2v -0.011 B2gH2w -0.011 B2hC1i -0.011 B2hD2m -0.011 B2hR1t -0.011 B2hR2i -0.011 B2hR2k -0.011 B2hR2t -0.011 B2iD1p -0.011 B2iH1m -0.011 B2iR1i -0.011 B2iR1m -0.011 B2iR2h -0.011 B2kD2p -0.011 B2kD2r -0.011 B2kH2n -0.011 B2lD1v -0.011 B2lH1h -0.011 B2lH1y -0.011 B2lR1h -0.011 B2lR1k -0.011 B2mD1f -0.011 B2mD2g -0.011 B2mH1l -0.011 B2mR1q -0.011 B2mR2d -0.011 B2mR2q -0.011 B2mR2s -0.011 B2nB2w -0.011 B2nC2w -0.011 B2nD1w -0.011 B2nH2w -0.011 B2nR1y -0.011 B2nR2m -0.011 B2nR2r -0.011 B2pC2i -0.011 B2sH2e -0.011 B2tB2w -0.011 B2tC1w -0.011 B2tC2w -0.011 B2tD1w -0.011 B2tD2d -0.011 B2tD2w -0.011 B2tH2w -0.011 B2tR2m -0.011 B2tR2p -0.011 B2vC1a -0.011 B2vH2n -0.011 B2wC1q -0.011 B2wC2d -0.011 B2wD1t -0.011 B2wD2d -0.011 B2wD2g -0.011 B2wD2n -0.011 B2wD2t -0.011 B2wH2d -0.011 B2wH2t -0.011 B2yD1c -0.011 B2yD2g -0.011 B2yD2m -0.011 B2yH1a -0.011 B2yH2y -0.011 B2yR1a -0.011 B2yR1p -0.011 B2yR1x -0.011 B2yR2a -0.011 B2yR2p -0.011 C1aC2y -0.011 C1aR2y -0.011 C1cC1m -0.011 C1cD2y -0.011 C1cH1f -0.011 C1cH1n -0.011 C1cH2h -0.011 C1cR1f -0.011 C1fD1h -0.011 C1fH1c -0.011 C1fH1i -0.011 C1fH2m -0.011 C1fH2p -0.011 C1gR1m -0.011 C1hC1n -0.011 C1hC2i -0.011 C1hD2q -0.011 C1hD2v -0.011 C1hH2i -0.011 C1hH2q -0.011 C1hR2r -0.011 C1iC2h -0.011 C1iC2m -0.011 C1iD1h -0.011 C1iD2h -0.011 C1iH1f -0.011 C1iH1n -0.011 C1iR1f -0.011 C1kD2t -0.011 C1lC2w -0.011 C1lD2w -0.011 C1lH2w -0.011 C1lR1y -0.011 C1mC1y -0.011 C1mD1c -0.011 C1mH1n -0.011 C1mH2y -0.011 C1mR2f -0.011 C1nD2c -0.011 C1nH1m -0.011 C1nR1i -0.011 C1nR1m -0.011 C1pH2l -0.011 C1qC2w -0.011 C1qD2n -0.011 C1qH2w -0.011 C1sD1l -0.011 C1tD1e -0.011 C1tR1y -0.011 C1tR2m -0.011 C1vC1w -0.011 C1vD1w -0.011 C1vD2e -0.011 C1vR2m -0.011 C1wC2d -0.011 C1wC2n -0.011 C1wD1q -0.011 C1wD1v -0.011 C1wD2d -0.011

C1wD2t -0.011 C1wH1a -0.011 C1wH2d -0.011 C1wH2n -0.011 C1wR1a -0.011 C1wR1p -0.011 C1wR2a -0.011 C1wR2p -0.011 C1yD2f -0.011 C1yH1s -0.011 C1yR1k -0.011 C2aH1f -0.011 C2aR2e -0.011 C2aR2f -0.011 C2cD1m -0.011 C2dC2w -0.011 C2dD1w -0.011 C2dD2p -0.011 C2dH2w -0.011 C2dR2m -0.011 C2eH1h -0.011 C2eH1y -0.011 C2fC2m -0.011 C2fD2h -0.011 C2fH1c -0.011 C2fH1i -0.011 C2fH2m -0.011 C2hD2m -0.011 C2hR1t -0.011 C2hR2i -0.011 C2iD1y -0.011 C2iH1m -0.011 C2lD1v -0.011 C2lH1h -0.011 C2lH1y -0.011 C2lR1h -0.011 C2mD2f -0.011 C2mR2i -0.011 C2nC2w -0.011 C2nD1w -0.011 C2nD2p -0.011 C2nD2w -0.011 C2nH2w -0.011 C2nR1y -0.011 C2nR2m -0.011 C2pH1s -0.011 C2tH2a -0.011 C2wD2d -0.011 C2wH2d -0.011 C2wH2n -0.011 C2wH2t -0.011 C2yD1c -0.011 C2yD2y -0.011 C2yH2h -0.011 C2yR2r -0.011 D1cD2y -0.011 D1cH1f -0.011 D1cH1n -0.011 D1cH2h -0.011 D1cR1f -0.011 D1dR1h -0.011 D1eD2s -0.011 D1fD1y -0.011 D1fD2c -0.011 D1fH1m -0.011 D1fR1i -0.011 D1gD2s -0.011 D1hD1m -0.011 D1hD2g -0.011 D1hH1s -0.011 D1hR1d -0.011 D1hR1k -0.011 D1iD2c -0.011 D1mH2c -0.011 D1qD1w -0.011 D1qD2a -0.011 D1qR1y -0.011 D1rH1l -0.011 D1tD2w -0.011 D1vD1w -0.011 D1vR1y -0.011 D1vR2m -0.011 D1wD2d -0.011 D1wD2n -0.011 D1wH1a -0.011 D1wH2d -0.011 D1wH2n -0.011 D1wR1a -0.011 D1wR1p -0.011 D1wR2a -0.011 D1wR2p -0.011 D1yD2q -0.011 D1yD2v -0.011 D1yH1a -0.011 D1yH2i -0.011 D1yH2q -0.011 D1yR1a -0.011 D1yR1p -0.011 D1yR1x -0.011 D1yR2a -0.011 D1yR2p -0.011 D2aH1w -0.011 D2aR2y -0.011 D2cH1a -0.011 D2cR1a -0.011 D2cR1p -0.011 D2cR1x -0.011 D2cR2a -0.011 D2cR2p -0.011 D2dD2w -0.011 D2dH2w -0.011 D2dR1r -0.011 D2dR2m -0.011 D2eR1h -0.011 D2fD2h -0.011 D2fH2m -0.011 D2fR1f -0.011 D2fR1n -0.011 D2hH1s -0.011 D2hH2f -0.011 D2hR2v -0.011 D2lR1s -0.011 D2mH1a -0.011 D2mH1c -0.011 D2mH1i -0.011 D2nD2w -0.011 D2nR1y -0.011 D2nR2m -0.011 D2pH2d -0.011 D2qR1y -0.011 D2qR2m -0.011 D2sH1s -0.011 D2sH1y -0.011 D2sR1h -0.011 D2tD2w -0.011 D2tR1x -0.011 D2tR2m -0.011 D2vR1y -0.011 D2wH2n -0.011 D2yH1s -0.011 D2yH2h -0.011 D2yH2y -0.011 D2yR1k -0.011 H1aH1w -0.011 H1aR1f -0.011 H1aR2y -0.011 H1cH1f -0.011 H1cH1n -0.011 H1cR1f -0.011 H1dH1h -0.011 H1dH1y -0.011 H1dR1h -0.011 H1eR2a -0.011 H1fH1i -0.011 H1hH2l -0.011 H1hH2v -0.011 H1hR2v -0.011 H1iH1n -0.011 H1iR1f -0.011 H1mH2i -0.011

H1mR1t -0.011 H1nR2x -0.011 H1sH2a -0.011 H1sH2l -0.011 H1tH2m -0.011 H1vR1y -0.011 H1vR2m -0.011 H1wR1a -0.011 H1wR1p -0.011 H1wR1x -0.011 H1wR2a -0.011 H1yH2l -0.011 H1yH2v -0.011 H1yR2v -0.011 H2aR2y -0.011 H2dH2w -0.011 H2dR2m -0.011 H2fH2m -0.011 H2hH2y -0.011 H2iR1i -0.011 H2iR1m -0.011 H2lR1h -0.011 H2mR2i -0.011 H2mR2t -0.011 H2nH2w -0.011 H2nR1y -0.011 H2nR2m -0.011 H2rR1a -0.011 H2tH2w -0.011 H2tR2m -0.011 H2vR1h -0.011 H2yR2r -0.011 R1hR2r -0.011 R1iR1t -0.011 R1mR1t -0.011 R1pR2y -0.011 R1qR1y -0.011 R1vR2h -0.011 R1yR2r -0.011 R2aR2y -0.011 R2dR2m -0.011 R2hR2i -0.011 R2mR2q -0.011 R2mR2s -0.011 R2pR2y -0.011 B1aD1d -0.012 B1aD1s -0.012 B1aR1f -0.012 B1cB1y -0.012 B1cC1y -0.012 B1cD2m -0.012 B1cR1t -0.012 B1dR1p -0.012 B1eB2r -0.012 B1eC1a -0.012 B1eR2s -0.012 B1fB1m -0.012 B1fB2y -0.012 B1fR1n -0.012 B1hB2q -0.012 B1hC2q -0.012 B1hD1n -0.012 B1hD2q -0.012 B1hD2v -0.012 B1hH1r -0.012 B1hR1r -0.012 B1iB1m -0.012 B1iD2y -0.012 B1iR1t -0.012 B1iR2f -0.012 B1kB2w -0.012 B1kC2w -0.012 B1kD1v -0.012 B1kD2t -0.012 B1kD2w -0.012 B1kH1d -0.012 B1kH2w -0.012 B1lB1w -0.012 B1lC1w -0.012 B1lD1w -0.012 B1lR1y -0.012 B1mB2f -0.012 B1mR1l -0.012 B1mR1v -0.012 B1mR2i -0.012 B1nC2m -0.012 B1nD1h -0.012 B1nD2h -0.012 B1nH1c -0.012 B1nH1i -0.012 B1nH2m -0.012 B1pB2y -0.012 B1pD1l -0.012 B1qB1w -0.012 B1qH1p -0.012 B1qR1y -0.012 B1rH1y -0.012 B1rR1h -0.012 B1sB2w -0.012 B1sC2w -0.012 B1sD1v -0.012 B1sD2r -0.012 B1sD2w -0.012 B1sH2w -0.012 B1sR1y -0.012 B1sR2m -0.012 B1tC2p -0.012 B1tD2c -0.012 B1tR2h -0.012 B1vR2x -0.012 B1wB2s -0.012 B1wB2v -0.012 B1wC1l -0.012 B1wC1q -0.012 B1wC2k -0.012 B1wC2s -0.012 B1wC2v -0.012 B1wH2k -0.012 B1wH2s -0.012 B1wH2v -0.012 B1yD1c -0.012 B1yH1r -0.012 B1yR1e -0.012 B1yR1r -0.012 B1yR2e -0.012 B2aD1k -0.012 B2aD1r -0.012 B2cC1n -0.012 B2cD1n -0.012 B2fB2h -0.012 B2fC1y -0.012 B2fC2h -0.012 B2fC2m -0.012 B2fH1i -0.012 B2gD2f -0.012 B2gR2t -0.012 B2hC1f -0.012 B2hC2f -0.012 B2hD2f -0.012 B2hH2f -0.012 B2hR1v -0.012 B2hR2d -0.012 B2hR2q -0.012 B2iC1h -0.012 B2iD1y -0.012 B2kB2w -0.012 B2kD1w -0.012 B2kD2w -0.012 B2kR1y -0.012 B2kR2m -0.012 B2mC1n -0.012 B2mD1i -0.012 B2mD1l -0.012 B2mD1n -0.012 B2mD2i -0.012 B2mD2p -0.012 B2mH1q -0.012 B2nD2k -0.012 B2nR2x -0.012 B2pD2a -0.012

B2qC1h -0.012 B2qD1y -0.012 B2qD2l -0.012 B2qH1a -0.012 B2qR2h -0.012 B2sB2w -0.012 B2sC1r -0.012 B2sC1w -0.012 B2sD1w -0.012 B2sD2w -0.012 B2tC2k -0.012 B2tD2p -0.012 B2tH2k -0.012 B2vB2w -0.012 B2vC1w -0.012 B2vC2n -0.012 B2vC2w -0.012 B2vD1w -0.012 B2vH2w -0.012 B2wC1k -0.012 B2wC1s -0.012 B2wC2s -0.012 B2wC2t -0.012 B2wC2v -0.012 B2wD1k -0.012 B2wD2k -0.012 B2wH2s -0.012 B2wH2v -0.012 B2yD2f -0.012 C1aR1d -0.012 C1cC1y -0.012 C1cD2a -0.012 C1cD2m -0.012 C1cR1t -0.012 C1cR2f -0.012 C1dD1n -0.012 C1dD1s -0.012 C1eH1h -0.012 C1eR1h -0.012 C1fC2h -0.012 C1fC2m -0.012 C1fC2p -0.012 C1fD2h -0.012 C1fR1n -0.012 C1hC2q -0.012 C1hD1i -0.012 C1hD1l -0.012 C1hD1n -0.012 C1hD2n -0.012 C1iR1t -0.012 C1iR2f -0.012 C1kC2w -0.012 C1kD2w -0.012 C1kH2w -0.012 C1kR2a -0.012 C1lC1w -0.012 C1lH2s -0.012 C1mD2f -0.012 C1mR1t -0.012 C1mR1v -0.012 C1nC2c -0.012 C1nD1h -0.012 C1nD1y -0.012 C1nH1i -0.012 C1nH1p -0.012 C1nH2c -0.012 C1pC2t -0.012 C1qC1w -0.012 C1qD1w -0.012 C1qR1y -0.012 C1qR2m -0.012 C1rH1h -0.012 C1rH1y -0.012 C1rR1h -0.012 C1sC2w -0.012 C1sD2w -0.012 C1sH2w -0.012 C1sR1y -0.012 C1tC1w -0.012 C1tD1w -0.012 C1vD2l -0.012 C1wC2k -0.012 C1wC2v -0.012 C1wH2k -0.012 C1wH2v -0.012 C1yC2f -0.012 C1yD1c -0.012 C1yH1d -0.012 C1yH1k -0.012 C1yH2f -0.012 C1yR1s -0.012 C1yR2l -0.012 C1yR2v -0.012 C2cD1i -0.012 C2cD2i -0.012 C2dD1a -0.012 C2eD1l -0.012 C2eR1h -0.012 C2fC2h -0.012 C2fR1f -0.012 C2fR1n -0.012 C2hD2f -0.012 C2hH2f -0.012 C2hR1l -0.012 C2hR1v -0.012 C2hR2k -0.012 C2hR2n -0.012 C2hR2t -0.012 C2iD2c -0.012 C2iH2l -0.012 C2iR1i -0.012 C2iR1m -0.012 C2kC2w -0.012 C2kD1w -0.012 C2kD2w -0.012 C2kH1p -0.012 C2kH2w -0.012 C2kR1y -0.012 C2kR2m -0.012 C2mH1t -0.012 C2mH2f -0.012 C2mR2t -0.012 C2qD1y -0.012 C2qD2c -0.012 C2sC2w -0.012 C2sD2w -0.012 C2sH2w -0.012 C2sR1y -0.012 C2tC2w -0.012 C2tH2w -0.012 C2tR1y -0.012 C2tR2m -0.012 C2vC2w -0.012 C2vD1w -0.012 C2vD2n -0.012 C2vD2w -0.012 C2vH2w -0.012 C2wD1k -0.012 C2wD2k -0.012 C2wH2k -0.012 C2wH2s -0.012 C2wH2v -0.012 C2yD2m -0.012 D1aH1k -0.012 D1aH1w -0.012 D1aH2d -0.012 D1aR2y -0.012 D1cH2y -0.012 D1cR1t -0.012 D1cR2f -0.012 D1fD1h -0.012 D1fD2h -0.012 D1fH1c -0.012 D1fH1i -0.012 D1hD2i -0.012 D1hH1d -0.012 D1hH1k -0.012 D1hR1s -0.012 D1hR2l -0.012 D1hR2v -0.012

D1iH1c -0.012 D1iH1i -0.012 D1iH2c -0.012 D1iH2p -0.012 D1kD2w -0.012 D1kH2w -0.012 D1lD2c -0.012 D1lD2s -0.012 D1lH2e -0.012 D1mD2h -0.012 D1mH1c -0.012 D1mH1i -0.012 D1nD1y -0.012 D1nD2c -0.012 D1nH1m -0.012 D1nR1i -0.012 D1nR1m -0.012 D1nR2h -0.012 D1pH1f -0.012 D1qD2e -0.012 D1qR2m -0.012 D1rH1y -0.012 D1rH2i -0.012 D1rR1h -0.012 D1sD2q -0.012 D1tD2d -0.012 D1tR2m -0.012 D1vD2c -0.012 D1vR2r -0.012 D1wD2k -0.012 D1wH2k -0.012 D1wH2v -0.012 D1yD2n -0.012 D1yD2t -0.012 D2cD2i -0.012 D2cH2i -0.012 D2cH2q -0.012 D2dR2r -0.012 D2fH1n -0.012 D2fR2f -0.012 D2hH1d -0.012 D2hH1k -0.012 D2hR1e -0.012 D2hR2e -0.012 D2iH1c -0.012 D2iH2c -0.012 D2iR1n -0.012 D2kD2w -0.012 D2kH2t -0.012 D2kH2w -0.012 D2mD2y -0.012 D2mH2h -0.012 D2mH2y -0.012 D2mR1a -0.012 D2mR1f -0.012 D2mR1n -0.012 D2wH2k -0.012 D2wH2s -0.012 D2wH2v -0.012 D2yH1d -0.012 D2yH1k -0.012 D2yR1s -0.012 D2yR2l -0.012 D2yR2v -0.012 H1cH2i -0.012 H1cR1t -0.012 H1dR1p -0.012 H1fH2h -0.012 H1hH1r -0.012 H1hH2e -0.012 H1hR1r -0.012 H1hR2e -0.012 H1iR2f -0.012 H1lR1y -0.012 H1mR1l -0.012 H1mR1v -0.012 H1mR2i -0.012 H1nH2f -0.012 H1nH2h -0.012 H1nR1n -0.012 H1pH2k -0.012 H1pH2q -0.012 H1qR1y -0.012 H1qR2m -0.012 H1rH1y -0.012 H1rR1h -0.012 H1tR2h -0.012 H1vH2m -0.012 H1vR2r -0.012 H1yH2e -0.012 H1yR1e -0.012 H1yR1r -0.012 H1yR2e -0.012 H2aR1q -0.012 H2eR1h -0.012 H2fR1f -0.012 H2fR1n -0.012 H2fR1p -0.012 H2hR1t -0.012 H2hR2i -0.012 H2kH2w -0.012 H2kR1y -0.012 H2kR2m -0.012 H2mR1q -0.012 H2mR2d -0.012 H2mR2q -0.012 H2sH2w -0.012 H2sR1y -0.012 H2sR2e -0.012 H2sR2m -0.012 H2vH2w -0.012 R1aR2y -0.012 R1eR1h -0.012 R1fR1n -0.012 R1hR1r -0.012 R1iR1l -0.012 R1iR1v -0.012 R1iR2i -0.012 R1lR1m -0.012 R1mR1v -0.012 R1mR2i -0.012 R1qR2h -0.012 R2hR2k -0.012 R2hR2n -0.012 R2hR2t -0.012 B1aR1d -0.013 B1cC2f -0.013 B1cD2f -0.013 B1cH2f -0.013 B1cR1v -0.013 B1dD2q -0.013 B1dD2w -0.013 B1dR1s -0.013 B1eH1h -0.013 B1eH1v -0.013 B1eH1y -0.013 B1eR1h -0.013 B1fC1y -0.013 B1fD2y -0.013 B1fH1n -0.013 B1fH2h -0.013 B1fR1f -0.013 B1gD1h -0.013 B1hB2d -0.013 B1hD1i -0.013 B1hD1l -0.013 B1hD1q -0.013 B1hD1v -0.013 B1hD2n -0.013 B1hD2t -0.013 B1hH1e -0.013 B1hR2r -0.013 B1iC1m -0.013 B1iC2y -0.013 B1iD2m -0.013 B1iH2h -0.013 B1iH2y -0.013 B1iR1v -0.013 B1kB1w -0.013 B1kB2n -0.013

Page 98: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

98(112)

B1kC1w -0.013 B1kR1y -0.013 B1kR2m -0.013 B1lC2v -0.013 B1lR1r -0.013 B1mB1n -0.013 B1mC1f -0.013 B1mC1i -0.013 B1mD1f -0.013 B1mH1t -0.013 B1mR2d -0.013 B1mR2k -0.013 B1mR2n -0.013 B1mR2t -0.013 B1nB2h -0.013 B1nB2y -0.013 B1nC2h -0.013 B1nR1f -0.013 B1nR2x -0.013 B1pC1i -0.013 B1qR2e -0.013 B1rD1k -0.013 B1rD2e -0.013 B1sB1w -0.013 B1sC1w -0.013 B1sD1w -0.013 B1tB2c -0.013 B1tB2m -0.013 B1tC1h -0.013 B1tC2c -0.013 B1tH1m -0.013 B1tH2c -0.013 B1tR1m -0.013 B1vB2c -0.013 B1vC1h -0.013 B1vC2c -0.013 B1vD2c -0.013 B1vH2c -0.013 B1vR2h -0.013 B1wB2e -0.013 B1wC1k -0.013 B1wC2l -0.013 B1wD1k -0.013 B1wD1t -0.013 B1wD2l -0.013 B1wH2l -0.013 B1yH1e -0.013 B1yR2r -0.013 B2aH2t -0.013 B2cB2i -0.013 B2cB2q -0.013 B2cC1v -0.013 B2cC2i -0.013 B2cC2p -0.013 B2cD1p -0.013 B2cD1v -0.013 B2cD2q -0.013 B2cD2t -0.013 B2cD2v -0.013 B2cH2i -0.013 B2cH2p -0.013 B2dC1h -0.013 B2dD2k -0.013 B2dR2h -0.013 B2eB2w -0.013 B2eC2i -0.013 B2eC2w -0.013 B2eD1v -0.013 B2eD1w -0.013 B2eH2w -0.013 B2fB2y -0.013 B2fC1m -0.013 B2fD2y -0.013 B2fR1f -0.013 B2fR1n -0.013 B2hC1n -0.013 B2hD1f -0.013 B2hD1m -0.013 B2hH1t -0.013 B2hR2s -0.013 B2iB2m -0.013 B2iC2c -0.013 B2iD1h -0.013 B2iH1i -0.013 B2iH2c -0.013 B2kD1e -0.013 B2kH2d -0.013 B2lB2w -0.013 B2lC1w -0.013 B2lC2w -0.013 B2lD2w -0.013 B2lH2w -0.013 B2mB2q -0.013 B2mC1v -0.013 B2mC2i -0.013 B2mC2q -0.013 B2mD1v -0.013 B2mD2v -0.013 B2mH1k -0.013 B2mH1s -0.013 B2mH2i -0.013 B2mH2q -0.013 B2mR1d -0.013 B2mR1k -0.013 B2mR2l -0.013 B2nC1h -0.013 B2nC1k -0.013 B2nD1y -0.013 B2nR2h -0.013 B2pH1q -0.013 B2pH2r -0.013 B2qC2c -0.013 B2qD2c -0.013 B2qH2c -0.013 B2qR1m -0.013 B2rC2s -0.013 B2rD2i -0.013 B2rH1h -0.013 B2rH1y -0.013 B2rR1h -0.013 B2rR2e -0.013 B2sD2t -0.013 B2sR1y -0.013 B2sR2m -0.013 B2tC1k -0.013 B2tC2v -0.013 B2tD1y -0.013 B2tD2k -0.013 B2tH1m -0.013 B2tR1i -0.013 B2tR1m -0.013 B2tR2h -0.013 B2vR1y -0.013 B2wC1d -0.013 B2wC2l -0.013 B2wD1d -0.013 B2wD1s -0.013 B2wD2e -0.013 B2wD2l -0.013 B2wH2l -0.013 B2yD1f -0.013 C1aH2y -0.013 C1cD1p -0.013 C1cR1v -0.013 C1dD2w -0.013 C1fC1m -0.013 C1fD2y -0.013 C1fH1n -0.013 C1fH2h -0.013 C1fR1f -0.013 C1hC1v -0.013 C1hC2d -0.013 C1hD1q -0.013 C1hD2d -0.013 C1hD2k -0.013 C1hH2d -0.013 C1iD2m -0.013 C1iH2h -0.013 C1iR1v -0.013 C1kC1w -0.013

C1kC2d -0.013 C1kD1w -0.013 C1kH2d -0.013 C1kR1y -0.013 C1kR2m -0.013 C1lR2r -0.013 C1mR2i -0.013 C1nC2h -0.013 C1nD2h -0.013 C1sC1w -0.013 C1sC2r -0.013 C1sH2t -0.013 C1sR2m -0.013 C1tD2c -0.013 C1tR2h -0.013 C1tR2p -0.013 C1vC2c -0.013 C1vH2c -0.013 C1vR2h -0.013 C1wC2l -0.013 C1wD1t -0.013 C1wD2e -0.013 C1wD2l -0.013 C1wH2l -0.013 C2aD2s -0.013 C2aH1k -0.013 C2cC2i -0.013 C2cC2q -0.013 C2cD1n -0.013 C2cD2q -0.013 C2cD2t -0.013 C2cD2v -0.013 C2cH2i -0.013 C2cH2q -0.013 C2dR2h -0.013 C2fC2y -0.013 C2fD2m -0.013 C2fH1n -0.013 C2fH2h -0.013 C2hD1f -0.013 C2hD1m -0.013 C2hH1t -0.013 C2hR2d -0.013 C2hR2q -0.013 C2iD1h -0.013 C2iH2c -0.013 C2kR1g -0.013 C2lC2w -0.013 C2lD1w -0.013 C2lD2w -0.013 C2lH2w -0.013 C2mD1i -0.013 C2mH1v -0.013 C2mR1q -0.013 C2mR2d -0.013 C2mR2q -0.013 C2nH1m -0.013 C2nH2s -0.013 C2pD1i -0.013 C2qD1h -0.013 C2qH1m -0.013 C2qH2c -0.013 C2qR1i -0.013 C2qR1m -0.013 C2rD2i -0.013 C2rH1h -0.013 C2sH2t -0.013 C2sR2m -0.013 C2tR1r -0.013 C2vD2d -0.013 C2vH2d -0.013 C2vR1y -0.013 C2wD1d -0.013 C2wD2l -0.013 C2wH2l -0.013 C2yD2f -0.013 C2yH2f -0.013 D1cR1v -0.013 D1dD2q -0.013 D1dH2w -0.013 D1dR1s -0.013 D1dR2v -0.013 D1eH1h -0.013 D1eH1v -0.013 D1eH1y -0.013 D1eR1h -0.013 D1eR2s -0.013 D1fR1n -0.013 D1gR1n -0.013 D1hD1i -0.013 D1hD1n -0.013 D1hD2v -0.013 D1hH2i -0.013 D1hH2q -0.013 D1iD1y -0.013 D1iD2h -0.013 D1iH2m -0.013 D1iR1f -0.013 D1kD1w -0.013 D1kR1y -0.013 D1lD1y -0.013 D1lH1m -0.013 D1lH2m -0.013 D1lR2h -0.013 D1mD2y -0.013 D1mR1f -0.013 D1mR1n -0.013 D1nD2r -0.013 D1nH1c -0.013 D1nH1i -0.013 D1nH2c -0.013 D1nH2m -0.013 D1pR1m -0.013 D1qD1y -0.013 D1rD2l -0.013 D1rH2q -0.013 D1sD2w -0.013 D1sR1y -0.013 D1sR2m -0.013 D1tD1w -0.013 D1vD1y -0.013 D1vH1e -0.013 D1wD2e -0.013 D1wD2l -0.013 D1wH2l -0.013 D1yD2d -0.013 D2cD2q -0.013 D2cD2t -0.013 D2cD2v -0.013 D2eD2w -0.013 D2fD2y -0.013 D2fH2h -0.013 D2fR1t -0.013 D2hR2r -0.013 D2iH2m -0.013 D2iH2r -0.013 D2iR1f -0.013 D2iR2f -0.013 D2kR2m -0.013 D2lD2w -0.013 D2lH2w -0.013 D2lR1y -0.013 D2mH1f -0.013 D2mH1n -0.013 D2mH2f -0.013 D2qH1m -0.013 D2qH2c -0.013 D2rH1h -0.013 D2rR1h -0.013 D2sH2p -0.013 D2sH2q -0.013 D2sR2v -0.013 D2tH1m -0.013 D2tH2c -0.013 D2tH2v -0.013 D2tR1i -0.013 D2tR1m -0.013 D2tR2h -0.013 D2vH2c -0.013 D2wH2l -0.013

H1aR2f -0.013 H1cR1v -0.013 H1dR1s -0.013 H1eH1h -0.013 H1eH1y -0.013 H1eR1h -0.013 H1fH1n -0.013 H1fR1f -0.013 H1hH2r -0.013 H1hR2r -0.013 H1iR1v -0.013 H1kR1y -0.013 H1kR2m -0.013 H1lH2m -0.013 H1mH1t -0.013 H1mH2d -0.013 H1mH2n -0.013 H1mH2q -0.013 H1mH2t -0.013 H1mR2d -0.013 H1mR2k -0.013 H1mR2n -0.013 H1mR2q -0.013 H1mR2t -0.013 H1nR1f -0.013 H1qH2m -0.013 H1rR2r -0.013 H1sR1y -0.013 H1sR2m -0.013 H1tR1m -0.013 H1tR1p -0.013 H1yR2r -0.013 H2cH2i -0.013 H2cH2q -0.013 H2dR1i -0.013 H2dR1m -0.013 H2dR2h -0.013 H2fH2h -0.013 H2fR1t -0.013 H2hR1v -0.013 H2hR2d -0.013 H2hR2n -0.013 H2hR2q -0.013 H2hR2t -0.013 H2iH2m -0.013 H2kR1g -0.013 H2lH2w -0.013 H2mR2s -0.013 H2pR1q -0.013 H2qR1i -0.013 H2qR1m -0.013 H2tR1i -0.013 H2tR1m -0.013 H2tR2h -0.013 H2vR1s -0.013 R1dR1y -0.013 R1dR2m -0.013 R1fR2f -0.013 R1iR2d -0.013 R1iR2k -0.013 R1iR2n -0.013 R1iR2t -0.013 R1kR1y -0.013 R1kR2m -0.013 R1mR2d -0.013 R1mR2k -0.013 R1mR2q -0.013 R1mR2t -0.013 R1nR1t -0.013 R1nR2f -0.013 R2dR2h -0.013 R2hR2q -0.013 R2lR2m -0.013 B1aH1f -0.014 B1aH1n -0.014 B1cB1f -0.014 B1cD1m -0.014 B1cH1t -0.014 B1cR1l -0.014 B1cR2i -0.014 B1cR2k -0.014 B1cR2n -0.014 B1cR2t -0.014 B1dB1w -0.014 B1dD1w -0.014 B1dR2m -0.014 B1eB2s -0.014 B1eB2w -0.014 B1eC2w -0.014 B1eD2w -0.014 B1eH2w -0.014 B1fB1y -0.014 B1fC1c -0.014 B1fD2m -0.014 B1fR1t -0.014 B1gC1w -0.014 B1gD2q -0.014 B1hB1t -0.014 B1hB1v -0.014 B1hB2k -0.014 B1hB2v -0.014 B1hC1l -0.014 B1hC1t -0.014 B1hC2k -0.014 B1hC2v -0.014 B1hD2d -0.014 B1hH2k -0.014 B1iB1y -0.014 B1iC1y -0.014 B1iH1t -0.014 B1iR1l -0.014 B1iR2i -0.014 B1iR2k -0.014 B1iR2n -0.014 B1kH1p -0.014 B1lC1h -0.014 B1lD2c -0.014 B1lR2h -0.014 B1mC1n -0.014 B1mD2i -0.014 B1mH1l -0.014 B1mR1g -0.014 B1mR1q -0.014 B1nC1m -0.014 B1nD2y -0.014 B1nH1f -0.014 B1nH2h -0.014 B1nR2f -0.014 B1pH1e -0.014 B1qC1h -0.014 B1qH1r -0.014 B1qR1a -0.014 B1rB1w -0.014 B1rB2w -0.014 B1sB2n -0.014 B1sC2d -0.014 B1sD2n -0.014 B1tH1c -0.014 B1tH1i -0.014 B1vD1y -0.014 B1vH1m -0.014 B1vH2m -0.014 B1vR1i -0.014 B1vR1m -0.014 B1wB2r -0.014 B1wC1d -0.014 B1wC2e -0.014 B1wC2r -0.014 B1wD1r -0.014 B1wD1s -0.014 B1wH2e -0.014 B1wH2r -0.014 B1yC1f -0.014 B1yC1i -0.014 B1yD2i -0.014 B2aD2i -0.014 B2cC1t -0.014 B2cD2d -0.014 B2cH2n -0.014 B2dC2s -0.014

B2dD2c -0.014 B2dH1m -0.014 B2dH2s -0.014 B2dR1i -0.014 B2eD2w -0.014 B2eR1k -0.014 B2eR2l -0.014 B2fD1c -0.014 B2fH1n -0.014 B2fH2h -0.014 B2fR2f -0.014 B2hD1i -0.014 B2hD1n -0.014 B2hH1l -0.014 B2hH1v -0.014 B2hR1q -0.014 B2hR2l -0.014 B2iD2h -0.014 B2iH2m -0.014 B2iR1f -0.014 B2iR1n -0.014 B2kC1h -0.014 B2kD1t -0.014 B2kD1y -0.014 B2lC2e -0.014 B2lR1s -0.014 B2lR1y -0.014 B2mC1l -0.014 B2mC1t -0.014 B2mD2q -0.014 B2mH1d -0.014 B2mH2n -0.014 B2mR1s -0.014 B2mR2v -0.014 B2nH2p -0.014 B2nR1i -0.014 B2nR1m -0.014 B2pC2r -0.014 B2pD1c -0.014 B2pH2t -0.014 B2qH2m -0.014 B2rB2w -0.014 B2rC1w -0.014 B2rD1l -0.014 B2rD1w -0.014 B2tC2s -0.014 B2tD1p -0.014 B2tH1c -0.014 B2tH1i -0.014 B2vC1h -0.014 B2vD1t -0.014 B2wC1e -0.014 B2wC1r -0.014 B2wC2e -0.014 B2wC2r -0.014 B2wD1r -0.014 B2wD2r -0.014 B2wD2s -0.014 B2wH2e -0.014 B2wH2r -0.014 B2yC1n -0.014 B2yD1i -0.014 C1aH1f -0.014 C1aH1n -0.014 C1aH2n -0.014 C1cC2p -0.014 C1cD1m -0.014 C1cH1t -0.014 C1cR1l -0.014 C1cR2i -0.014 C1cR2n -0.014 C1cR2t -0.014 C1dC1w -0.014 C1dD1w -0.014 C1dR2m -0.014 C1eD2w -0.014 C1eH2q -0.014 C1fC1y -0.014 C1fD1c -0.014 C1fR1t -0.014 C1hC1l -0.014 C1hC1q -0.014 C1hC1t -0.014 C1hC2s -0.014 C1hC2v -0.014 C1hD2l -0.014 C1hH2s -0.014 C1iC1m -0.014 C1iC1y -0.014 C1iH1t -0.014 C1iR1l -0.014 C1iR2i -0.014 C1iR2n -0.014 C1iR2t -0.014 C1kD2n -0.014 C1lH1m -0.014 C1mD1f -0.014 C1mD2i -0.014 C1mH1t -0.014 C1mR1q -0.014 C1mR2d -0.014 C1mR2n -0.014 C1mR2q -0.014 C1mR2t -0.014 C1nD2y -0.014 C1qD2c -0.014 C1qD2k -0.014 C1rC2w -0.014 C1rH2q -0.014 C1rH2w -0.014 C1sH1p -0.014 C1tC2c -0.014 C1tC2l -0.014 C1tH1m -0.014 C1tH2c -0.014 C1tR1i -0.014 C1tR1m -0.014 C1vD1h -0.014 C1vH1m -0.014 C1vH2m -0.014 C1vR1i -0.014 C1vR1m -0.014 C1wC2e -0.014 C1wC2r -0.014 C1wD1d -0.014 C1wD1r -0.014 C1wD2r -0.014 C1wD2s -0.014 C1wH2e -0.014 C1wH2r -0.014 C1yD1m -0.014 C1yD2i -0.014 C1yH1r -0.014 C1yR1e -0.014 C1yR1r -0.014 C1yR2e -0.014 C2aD2n -0.014 C2aH1p -0.014 C2cC2n -0.014 C2cD1q -0.014 C2cD2d -0.014 C2cD2n -0.014 C2cH2n -0.014 C2cH2t -0.014 C2dD1k -0.014 C2dH1m -0.014 C2dR1i -0.014 C2eC2w -0.014 C2eD1w -0.014 C2eD2w -0.014 C2eH2w -0.014 C2fD1c -0.014 C2fH2y -0.014 C2fR1t -0.014 C2hD2i -0.014 C2hH1v -0.014 C2hR1q -0.014 C2iC2m -0.014 C2iD1r -0.014 C2iH2m -0.014

C2iR1n -0.014 C2kD1t -0.014 C2kH1r -0.014 C2kR1r -0.014 C2lD1r -0.014 C2mD1l -0.014 C2mD1n -0.014 C2mD1v -0.014 C2mD2i -0.014 C2mH1l -0.014 C2mH1q -0.014 C2mH2i -0.014 C2mH2q -0.014 C2mR2s -0.014 C2nD1h -0.014 C2nD2c -0.014 C2nH2c -0.014 C2nR1i -0.014 C2nR1m -0.014 C2pD2s -0.014 C2qD1r -0.014 C2qH2m -0.014 C2rC2w -0.014 C2rD2w -0.014 C2rH2w -0.014 C2sD1y -0.014 C2tD2n -0.014 C2tR2h -0.014 C2vD1y -0.014 C2wD1r -0.014 C2wD2s -0.014 C2wH2e -0.014 C2wH2r -0.014 C2yD1f -0.014 C2yD1m -0.014 D1cH1t -0.014 D1cH2f -0.014 D1cR1l -0.014 D1cR2i -0.014 D1cR2n -0.014 D1cR2t -0.014 D1dD1w -0.014 D1dR2m -0.014 D1eH2r -0.014 D1fH1n -0.014 D1fH2h -0.014 D1fR1f -0.014 D1gD2y -0.014 D1hD1l -0.014 D1hD1q -0.014 D1hD1v -0.014 D1hD2t -0.014 D1hH2n -0.014 D1hH2t -0.014 D1hR1r -0.014 D1hR2e -0.014 D1iH1f -0.014 D1iH1n -0.014 D1iR2f -0.014 D1kH2d -0.014 D1lD2h -0.014 D1lD2r -0.014 D1lH1c -0.014 D1mH1n -0.014 D1mH2h -0.014 D1mR2f -0.014 D1nD2h -0.014 D1pH1w -0.014 D1pR1s -0.014 D1pR2k -0.014 D1qH1m -0.014 D1qH2c -0.014 D1qR1g -0.014 D1qR1i -0.014 D1qR1m -0.014 D1rD1w -0.014 D1rD2w -0.014 D1rH2w -0.014 D1sD1w -0.014 D1tH2k -0.014 D1tR2h -0.014 D1vH1m -0.014 D1vH2e -0.014 D1vH2m -0.014 D1vR2h -0.014 D1wD2r -0.014 D1wD2s -0.014 D1wH2e -0.014 D1yD2e -0.014 D1yD2l -0.014 D1yH2s -0.014 D2aH1n -0.014 D2aR2f -0.014 D2cD2d -0.014 D2cD2n -0.014 D2cH2n -0.014 D2cH2t -0.014 D2dH1e -0.014 D2dH1m -0.014 D2dH2c -0.014 D2dR2h -0.014 D2eR1y -0.014 D2eR2m -0.014 D2fD2m -0.014 D2fH2y -0.014 D2fR1v -0.014 D2fR2i -0.014 D2hD2i -0.014 D2hH1r -0.014 D2hH2q -0.014 D2iH1f -0.014 D2iR1x -0.014 D2lH1p -0.014 D2mR1v -0.014 D2nH1m -0.014 D2nH2c -0.014 D2nR1i -0.014 D2nR1m -0.014 D2pH1m -0.014 D2pH1n -0.014 D2pR1m -0.014 D2pR2f -0.014 D2qH2g -0.014 D2qR1i -0.014 D2qR1m -0.014 D2rD2w -0.014 D2rR2a -0.014 D2sD2w -0.014 D2sH1k -0.014 D2sH2w -0.014 D2sR1y -0.014 D2sR2m -0.014 D2tH1c -0.014 D2tH1i -0.014 D2vR1m -0.014 D2vR2h -0.014 D2wH2e -0.014 D2wH2r -0.014 D2yH1r -0.014 D2yR1e -0.014 D2yR1r -0.014 D2yR2e -0.014 H1aH2d -0.014 H1cH1t -0.014 H1cH2q -0.014 H1cR1l -0.014 H1cR2i -0.014 H1cR2k -0.014 H1cR2n -0.014 H1cR2t -0.014 H1dH2v -0.014 H1dR2m -0.014 H1fR1t -0.014 H1iH1t -0.014 H1iH2q -0.014 H1iR2i -0.014 H1iR2k -0.014 H1iR2n -0.014 H1iR2t -0.014 H1kH2m -0.014

H1lH1m -0.014 H1lR2h -0.014 H1mH1v -0.014 H1mR1q -0.014 H1nR1t -0.014 H1nR2f -0.014 H1qR2h -0.014 H1rH2k -0.014 H1sH2m -0.014 H1vR1m -0.014 H1vR2h -0.014 H2cH2n -0.014 H2cH2t -0.014 H2eH2w -0.014 H2fH2y -0.014 H2fR1v -0.014 H2iR1n -0.014 H2kR1r -0.014 H2lR1y -0.014 H2mH2q -0.014 H2mR1d -0.014 H2mR1k -0.014 H2nR1i -0.014 H2nR1m -0.014 H2rH2w -0.014 H2vR1g -0.014 H2vR1y -0.014 R1fR1t -0.014 R1iR1q -0.014 R1mR1q -0.014 R1nR1v -0.014 R1sR1y -0.014 R1sR2m -0.014 R2hR2s -0.014 R2mR2v -0.014 B1aD2m -0.015 B1cB1i -0.015 B1cC1f -0.015 B1cD1f -0.015 B1dD1r -0.015 B1dD2s -0.015 B1eB1w -0.015 B1eC1w -0.015 B1eD1w -0.015 B1eR1r -0.015 B1fR1v -0.015 B1gD1w -0.015 B1hB1l -0.015 B1hB1q -0.015 B1hB2l -0.015 B1hB2s -0.015 B1hC1q -0.015 B1hC2l -0.015 B1hD2e -0.015 B1hD2l -0.015 B1hH2v -0.015 B1iC1c -0.015 B1iD1p -0.015 B1iD2f -0.015 B1iR1q -0.015 B1iR2q -0.015 B1kD2a -0.015 B1kD2c -0.015 B1lB2m -0.015 B1lB2s -0.015 B1lH1m -0.015 B1lH2m -0.015 B1mB2i -0.015 B1mB2q -0.015 B1mC2q -0.015 B1mD1l -0.015 B1mD1n -0.015 B1mD2q -0.015 B1mD2v -0.015 B1mH2q -0.015 B1mR2s -0.015 B1nB1y -0.015 B1nR1t -0.015 B1qB2c -0.015 B1qB2m -0.015 B1qB2v -0.015 B1qC2c -0.015 B1qC2k -0.015 B1qC2v -0.015 B1qD1y -0.015 B1qH1m -0.015 B1qH2c -0.015 B1qH2k -0.015 B1qR1i -0.015 B1qR1m -0.015 B1qR2h -0.015 B1rD1n -0.015 B1rR1y -0.015 B1rR2l -0.015 B1rR2m -0.015 B1sC1h -0.015 B1sD2c -0.015 B1sD2d -0.015 B1sH1m -0.015 B1sR1i -0.015 B1sR1m -0.015 B1tB2h -0.015 B1vB2e -0.015 B1vB2p -0.015 B1vC2h -0.015 B1vC2m -0.015 B1wC1g -0.015 B1wC1r -0.015 B1yB2i -0.015 B1yB2q -0.015 B1yC1n -0.015 B1yC2i -0.015 B1yC2q -0.015 B1yD2q -0.015 B1yD2v -0.015 B1yH2i -0.015 B1yH2q -0.015 B2aD2a -0.015 B2cB2d -0.015 B2cB2n -0.015 B2cB2t -0.015 B2cC1q -0.015 B2cC2n -0.015 B2cD1t -0.015 B2cD2k -0.015 B2cH1a -0.015 B2cH2t -0.015 B2cR1x -0.015 B2cR2a -0.015 B2cR2x -0.015 B2dB2m -0.015 B2dD1h -0.015 B2dH2m -0.015 B2dR2p -0.015 B2eR1y -0.015 B2eR2m -0.015 B2hB2i -0.015 B2hB2q -0.015 B2hC1v -0.015 B2hC2i -0.015 B2hC2q -0.015 B2hD1v -0.015 B2hD2v -0.015 B2hH1q -0.015 B2hH2i -0.015 B2hH2q -0.015 B2iC1y -0.015 B2iC2h -0.015 B2iC2m -0.015 B2iD1a -0.015 B2iH1f -0.015 B2iH1n -0.015 B2iR2f -0.015 B2kD2c -0.015 B2kD2d -0.015 B2kH1m -0.015 B2kR1i -0.015 B2kR2h -0.015 B2lC1h -0.015 B2lC1t -0.015

B2lD2s -0.015 B2lH1d -0.015 B2lH2e -0.015 B2mB2n -0.015 B2mB2t -0.015 B2mC1q -0.015 B2mC2d -0.015 B2mC2n -0.015 B2mD1t -0.015 B2mD2d -0.015 B2mH2d -0.015 B2mH2t -0.015 B2nD1h -0.015 B2nD1k -0.015 B2nH1c -0.015 B2nH1i -0.015 B2nH2m -0.015 B2pH1w -0.015 B2qC1y -0.015 B2qC2e -0.015 B2qC2h -0.015 B2qC2m -0.015 B2qD1r -0.015 B2qD2h -0.015 B2qH1c -0.015 B2qH1i -0.015 B2qR1p -0.015 B2rD1e -0.015 B2rH1l -0.015 B2sC1h -0.015 B2sD2r -0.015 B2sR2p -0.015 B2tC2c -0.015 B2tD1h -0.015 B2tD1k -0.015 B2tH2c -0.015 B2vC1q -0.015 B2vD2c -0.015 B2wD1e -0.015 B2yD1l -0.015 B2yD1n -0.015 B2yD2i -0.015 B2yH2q -0.015 C1aC2n -0.015 C1cC1f -0.015 C1cC1i -0.015 C1cD1f -0.015 C1cR2d -0.015 C1cR2q -0.015 C1eC1w -0.015 C1eD1k -0.015 C1eD1w -0.015 C1fR1v -0.015 C1hC1k -0.015 C1hC1s -0.015 C1hC2l -0.015 C1hD1k -0.015 C1hH1a -0.015 C1hH2v -0.015 C1hR1x -0.015 C1hR2a -0.015 C1iD1p -0.015 C1iD2f -0.015 C1iR1q -0.015 C1iR2d -0.015 C1iR2q -0.015 C1kD2c -0.015 C1lH2m -0.015 C1mC1n -0.015 C1mD2v -0.015 C1mH1l -0.015 C1mH2i -0.015 C1mR2s -0.015 C1nC1y -0.015 C1nH1f -0.015 C1nH1n -0.015 C1nH2h -0.015 C1nR1t -0.015 C1nR2f -0.015 C1qC2c -0.015 C1qD1y -0.015 C1qH1g -0.015 C1qH1m -0.015 C1qH2c -0.015 C1qR1i -0.015 C1qR1m -0.015 C1rC1w -0.015 C1rR1d -0.015 C1rR1y -0.015 C1sH1m -0.015 C1sR1a -0.015 C1tC2m -0.015 C1tD1h -0.015 C1tD2h -0.015 C1tH1c -0.015 C1tH2l -0.015 C1tH2m -0.015 C1vC2h -0.015 C1vC2m -0.015 C1vH1i -0.015 C1yC2q -0.015 C1yD2v -0.015 C1yH1e -0.015 C1yH2q -0.015 C1yR2r -0.015 C2aD1l -0.015 C2cC2d -0.015 C2cD1t -0.015 C2cD2k -0.015 C2cH1a -0.015 C2cH2d -0.015 C2cR1x -0.015 C2cR2a -0.015 C2cR2x -0.015 C2dD1h -0.015 C2dH1c -0.015 C2dH1i -0.015 C2dH2c -0.015 C2dH2m -0.015 C2eR1y -0.015 C2eR2m -0.015 C2fR1p -0.015 C2fR1v -0.015 C2gD2y -0.015 C2hC2i -0.015 C2hC2q -0.015 C2hD1l -0.015 C2hD1n -0.015 C2hD1v -0.015 C2hD2v -0.015 C2hH2i -0.015 C2hH2q -0.015 C2iH1f -0.015 C2iH1n -0.015 C2kD2c -0.015 C2kD2d -0.015 C2kR1m -0.015 C2kR2h -0.015 C2lD1y -0.015 C2mC2q -0.015 C2mD1q -0.015 C2mD2v -0.015 C2mH1s -0.015 C2mR1d -0.015 C2mR1k -0.015 C2mR2l -0.015 C2nH1c -0.015 C2nH1i -0.015 C2nH2m -0.015 C2nR2p -0.015 C2pH1n -0.015 C2pH1w -0.015 C2pR2y -0.015 C2qD2h -0.015 C2qD2s -0.015 C2qH1c -0.015 C2qH1i -0.015 C2rD1e -0.015 C2rH1r -0.015 C2sD1t -0.015

C2sD2c -0.015 C2sD2n -0.015 C2sR2h -0.015 C2tD2a -0.015 C2tD2c -0.015 C2tH1m -0.015 C2tR1i -0.015 C2tR1m -0.015 C2vD2c -0.015 C2yH1a -0.015 C2yR1x -0.015 C2yR2a -0.015 C2yR2x -0.015 D1cD1m -0.015 D1dD2t -0.015 D1eD2i -0.015 D1fD2m -0.015 D1fH2y -0.015 D1fR1t -0.015 D1fR2x -0.015 D1hD2n -0.015 D1hH1e -0.015 D1hH2d -0.015 D1hR2r -0.015 D1iD2y -0.015 D1iR1t -0.015 D1kD2c -0.015 D1kR2h -0.015 D1mH2y -0.015 D1mR1t -0.015 D1nD2y -0.015 D1pR2y -0.015 D1qD2h -0.015 D1qH2l -0.015 D1qH2m -0.015 D1rH2l -0.015 D1tD1y -0.015 D1tH1m -0.015 D1tH2c -0.015 D1tH2s -0.015 D1tR1i -0.015 D1tR1m -0.015 D1vD2h -0.015 D1yD2s -0.015 D1yH2v -0.015 D2cD2k -0.015 D2cH2k -0.015 D2cH2s -0.015 D2dH2k -0.015 D2dR1i -0.015 D2dR1m -0.015 D2fH1t -0.015 D2fR1l -0.015 D2fR2k -0.015 D2fR2n -0.015 D2fR2t -0.015 D2gH1m -0.015 D2hD2q -0.015 D2hD2v -0.015 D2iD2y -0.015 D2iH2a -0.015 D2iR1v -0.015 D2kH2c -0.015 D2lR1g -0.015 D2mR1l -0.015 D2mR2i -0.015 D2qH1c -0.015 D2qH1i -0.015 D2rH1l -0.015 D2sR1a -0.015 D2tH1p -0.015 D2yH1e -0.015 D2yH2g -0.015 H1aH2c -0.015 H1aH2y -0.015 H1cH2d -0.015 H1cH2n -0.015 H1cH2t -0.015 H1dH2m -0.015 H1dR2x -0.015 H1fH2i -0.015 H1fR1v -0.015 H1iH2d -0.015 H1iH2n -0.015 H1iH2t -0.015 H1iR1q -0.015 H1iR2d -0.015 H1iR2q -0.015 H1mH1q -0.015 H1mH2s -0.015 H1mR2s -0.015 H1nH2i -0.015 H1nH2p -0.015 H1nR1v -0.015 H1nR2p -0.015 H1qR1i -0.015 H1qR1m -0.015 H1rR1y -0.015 H1tH2h -0.015 H1wH2p -0.015 H2cH2d -0.015 H2cR1x -0.015 H2cR2a -0.015 H2cR2x -0.015 H2dH2m -0.015 H2eR1y -0.015 H2fR1l -0.015 H2fR2i -0.015 H2hR1q -0.015 H2kR1m -0.015 H2kR2h -0.015 H2mH2n -0.015 H2mH2t -0.015 H2mR1s -0.015 H2mR2v -0.015 H2nR2p -0.015 H2pR1m -0.015 H2pR2f -0.015 H2pR2y -0.015 H2sR1i -0.015 H2sR1m -0.015 H2sR2h -0.015 H2yR1x -0.015 H2yR2a -0.015 H2yR2x -0.015 R1dR2h -0.015 R1fR1v -0.015 R1fR2i -0.015 R1hR2a -0.015 R1iR2s -0.015 R1lR1n -0.015 R1mR2s -0.015 R1nR2i -0.015 R1tR2f -0.015 R1tR2x -0.015 R1yR2x -0.015 R2eR2m -0.015 R2hR2l -0.015 B1aC1c -0.016 B1aD1c -0.016 B1aH1a -0.016 B1cB1n -0.016 B1cD2i -0.016 B1cH1l -0.016 B1cH1q -0.016 B1cH1v -0.016 B1cH2i -0.016 B1cR2s -0.016 B1dC1h -0.016 B1dH2t -0.016 B1dR2h -0.016 B1eR1y -0.016 B1fR2i -0.016 B1gR1y -0.016 B1hB1k -0.016 B1hB1s -0.016 B1hB2e -0.016 B1hC1k -0.016 B1hC1s -0.016 B1hH2l -0.016

B1iH1l -0.016 B1iH1q -0.016 B1iH1v -0.016 B1iR2s -0.016 B1kB2m -0.016 B1kC2c -0.016 B1kD1y -0.016 B1kH2c -0.016 B1kR2h -0.016 B1lC2m -0.016 B1lD1h -0.016 B1lD1t -0.016 B1lD2h -0.016 B1lH1c -0.016 B1lH1i -0.016 B1lH2v -0.016 B1lR2r -0.016 B1mB1v -0.016 B1mC1v -0.016 B1mD1v -0.016 B1mH1s -0.016 B1mR1d -0.016 B1mR1k -0.016 B1pH1w -0.016 B1pR2y -0.016 B1qD1h -0.016 B1qR1e -0.016 B1rH1s -0.016 B1rR1k -0.016 B1sB2m -0.016 B1sC2c -0.016 B1sD1y -0.016 B1sH2c -0.016 B1tB2y -0.016 B1tR1n -0.016 B1vB2y -0.016 B1vH1c -0.016 B1wH1p -0.016 B1yB2d -0.016 B1yB2n -0.016 B1yD2t -0.016 B2aD1p -0.016 B2aR1t -0.016 B2cB2k -0.016 B2cB2v -0.016 B2cC1s -0.016 B2cC2k -0.016 B2cC2s -0.016 B2cC2t -0.016 B2cD1k -0.016 B2cD2e -0.016 B2cD2l -0.016 B2cH2k -0.016 B2cH2s -0.016 B2cR1a -0.016 B2cR2p -0.016 B2dC2m -0.016 B2dD2h -0.016 B2dH1c -0.016 B2dH1i -0.016 B2eC1h -0.016 B2fC1i -0.016 B2fR1v -0.016 B2gD2i -0.016 B2hC1l -0.016 B2hD2q -0.016 B2hR1k -0.016 B2iB2y -0.016 B2iD2y -0.016 B2kB2m -0.016 B2kD1h -0.016 B2kD2g -0.016 B2lD2t -0.016 B2mB2v -0.016 B2mC1k -0.016 B2mC1s -0.016 B2mC2s -0.016 B2mC2t -0.016 B2mC2v -0.016 B2mD1k -0.016 B2mD2k -0.016 B2mH1e -0.016 B2mH2s -0.016 B2nC2m -0.016 B2nC2p -0.016 B2pR1m -0.016 B2pR2y -0.016 B2qB2y -0.016 B2qC1m -0.016 B2qD1a -0.016 B2qH2e -0.016 B2rH2q -0.016 B2sD1t -0.016 B2sH1m -0.016 B2sR1i -0.016 B2sR1m -0.016 B2sR2h -0.016 B2tD2h -0.016 B2tH2a -0.016 B2tR1n -0.016 B2vC2c -0.016 B2vD1h -0.016 B2vH1m -0.016 B2vH2c -0.016 B2vR1i -0.016 B2vR1m -0.016 B2vR2h -0.016 B2yC1v -0.016 B2yC2q -0.016 B2yD1v -0.016 B2yH1p -0.016 C1aC2d -0.016 C1aH2d -0.016 C1cC1n -0.016 C1cD2i -0.016 C1cH1l -0.016 C1cH1q -0.016 C1cH1v -0.016 C1cR2s -0.016 C1dC1h -0.016 C1dH2t -0.016 C1eC2q -0.016 C1eD2v -0.016 C1eR2m -0.016 C1fR2i -0.016 C1gR1y -0.016 C1hC2e -0.016 C1hD1s -0.016 C1hD2r -0.016 C1hH2e -0.016 C1hH2l -0.016 C1hR1a -0.016 C1hR2p -0.016 C1iH1v -0.016 C1iR2s -0.016 C1kD1y -0.016 C1kH1m -0.016 C1kR1i -0.016 C1kR1m -0.016 C1kR2e -0.016 C1kR2h -0.016 C1lC2m -0.016 C1lD2h -0.016 C1lH1c -0.016 C1lH1i -0.016 C1mC2i -0.016 C1mD1i -0.016 C1mD1v -0.016 C1mD2q -0.016 C1nD2m -0.016 C1nR1v -0.016 C1pD1d -0.016 C1pD2p -0.016 C1pH1w -0.016 C1pR1a -0.016 C1pR2y -0.016 C1qC2a -0.016 C1rC2q -0.016 C1rD1i -0.016 C1rD2v -0.016

C1rR2l -0.016 C1sR1i -0.016 C1sR1m -0.016 C1sR1p -0.016 C1tD1a -0.016 C1vH1a -0.016 C1wH1p -0.016 C2cC2k -0.016 C2cC2s -0.016 C2cC2t -0.016 C2cC2v -0.016 C2cD1k -0.016 C2cH2k -0.016 C2cH2s -0.016 C2cR1a -0.016 C2cR2p -0.016 C2dC2m -0.016 C2dD2e -0.016 C2dD2h -0.016 C2dD2l -0.016 C2dH1a -0.016 C2eD1y -0.016 C2fH1t -0.016 C2fR1l -0.016 C2fR2i -0.016 C2fR2k -0.016 C2fR2n -0.016 C2fR2t -0.016 C2hH1s -0.016 C2hR1d -0.016 C2hR1k -0.016 C2hR2v -0.016 C2iR1t -0.016 C2kD1h -0.016 C2kH2c -0.016 C2lD2t -0.016 C2lR2h -0.016 C2mC2n -0.016 C2mH1d -0.016 C2mH2d -0.016 C2mH2n -0.016 C2mH2t -0.016 C2mR1s -0.016 C2mR2v -0.016 C2nD2h -0.016 C2pR1m -0.016 C2qD2y -0.016 C2sH1m -0.016 C2sH2c -0.016 C2sR1i -0.016 C2sR1m -0.016 C2tD1h -0.016 C2tH2c -0.016 C2tR2r -0.016 C2vD1h -0.016 C2vD2k -0.016 C2vH1m -0.016 C2vH2c -0.016 C2vR2e -0.016 C2vR2h -0.016 C2yD1l -0.016 C2yD1n -0.016 C2yH2i -0.016 C2yR1a -0.016 C2yR1p -0.016 C2yR2p -0.016 D1cD1f -0.016 D1cD2i -0.016 D1cH1l -0.016 D1cH1q -0.016 D1cR2s -0.016 D1dR2h -0.016 D1eD1w -0.016 D1eR1r -0.016 D1fR1v -0.016 D1gD2k -0.016 D1gR1y -0.016 D1hD1t -0.016 D1hH2k -0.016 D1iD2m -0.016 D1iR1v -0.016 D1kD1y -0.016 D1kH1m -0.016 D1kH1r -0.016 D1kH2c -0.016 D1kR1i -0.016 D1kR1m -0.016 D1lH2h -0.016 D1lR1n -0.016 D1mR1v -0.016 D1nH1f -0.016 D1nH1n -0.016 D1nH2h -0.016 D1nR1f -0.016 D1qH1c -0.016 D1rR1y -0.016 D1rR2m -0.016 D1sD2c -0.016 D1sH1m -0.016 D1sH2r -0.016 D1sH2t -0.016 D1sR1i -0.016 D1sR1m -0.016 D1sR2e -0.016 D1sR2h -0.016 D1vD2y -0.016 D1vH1i -0.016 D1wH1p -0.016 D1yD2r -0.016 D1yH1p -0.016 D1yH2e -0.016 D1yH2l -0.016 D2cD2e -0.016 D2cD2l -0.016 D2cH1p -0.016 D2cH2v -0.016 D2dH1c -0.016 D2dH2m -0.016 D2eH2d -0.016 D2fR1q -0.016 D2fR2d -0.016 D2fR2q -0.016 D2hD2t -0.016 D2hH2d -0.016 D2hH2n -0.016 D2hH2t -0.016 D2iH2h -0.016 D2iR2i -0.016 D2iR2k -0.016 D2iR2n -0.016 D2iR2t -0.016 D2kH1m -0.016 D2kR1i -0.016 D2kR1m -0.016 D2kR1x -0.016 D2kR2e -0.016 D2kR2h -0.016 D2lH2d -0.016 D2lR2h -0.016 D2mH1p -0.016 D2mH1t -0.016 D2mR2d -0.016 D2mR2k -0.016 D2mR2n -0.016 D2mR2q -0.016 D2mR2t -0.016 D2nH1c -0.016 D2nH1i -0.016 D2nH2m -0.016 D2nH2v -0.016 D2sR2h -0.016 D2tR1n -0.016 D2vH1c -0.016 D2vH1i -0.016 D2yH2i -0.016 D2yH2q -0.016 H1cH1l -0.016 H1cH1q -0.016 H1cH1v -0.016 H1cR2s -0.016

H1dR2h -0.016 H1eR1y -0.016 H1gR1y -0.016 H1gR2m -0.016 H1iH1l -0.016 H1iH1q -0.016 H1iH1v -0.016 H1iR2s -0.016 H1kR2h -0.016 H1mH1s -0.016 H1mR1d -0.016 H1mR2l -0.016 H1nR2i -0.016 H1pH1w -0.016 H1qR2r -0.016 H1rH2r -0.016 H1rR2m -0.016 H1sR1i -0.016 H1tH2f -0.016 H1tR1n -0.016 H2cH2k -0.016 H2cH2s -0.016 H2cR1a -0.016 H2cR2p -0.016 H2dR1n -0.016 H2eR2m -0.016 H2fR2d -0.016 H2fR2k -0.016 H2fR2n -0.016 H2fR2q -0.016 H2fR2t -0.016 H2hH2i -0.016 H2iR1t -0.016 H2qR1f -0.016 H2sR1e -0.016 H2tR1n -0.016 H2yR1a -0.016 H2yR1p -0.016 H2yR2p -0.016 R1dR1i -0.016 R1dR1m -0.016 R1eR1y -0.016 R1eR2m -0.016 R1fR1l -0.016 R1fR2d -0.016 R1fR2k -0.016 R1fR2n -0.016 R1fR2q -0.016 R1hR2p -0.016 R1iR1k -0.016 R1kR1m -0.016 R1lR2f -0.016 R1mR2l -0.016 R1nR2d -0.016 R1nR2n -0.016 R1nR2q -0.016 R1nR2t -0.016 R1rR1y -0.016 R1sR2h -0.016 R1tR1v -0.016 R1vR2f -0.016 R1yR2p -0.016 R2fR2i -0.016 R2hR2v -0.016 B1cC2q -0.017 B1cD1n -0.017 B1cH2q -0.017 B1dB1h -0.017 B1dB2c -0.017 B1dB2m -0.017 B1dC2c -0.017 B1dH1m -0.017 B1dH2c -0.017 B1dR1i -0.017 B1dR1m -0.017 B1eB2i -0.017 B1eC2l -0.017 B1eR2m -0.017 B1fB1i -0.017 B1fC1i -0.017 B1fH1t -0.017 B1fR1a -0.017 B1fR1l -0.017 B1fR2k -0.017 B1fR2n -0.017 B1hB2r -0.017 B1hC1d -0.017 B1hC2r -0.017 B1hD1s -0.017 B1hD2r -0.017 B1hH2r -0.017 B1kD1h -0.017 B1kR1i -0.017 B1kR1m -0.017 B1lC2h -0.017 B1mB1t -0.017 B1mB2d -0.017 B1mB2t -0.017 B1mC1l -0.017 B1mC1t -0.017 B1mC2d -0.017 B1mC2n -0.017 B1mD2n -0.017 B1mH1d -0.017 B1mH1k -0.017 B1mH2d -0.017 B1mH2n -0.017 B1mH2t -0.017 B1mR1s -0.017 B1nC2f -0.017 B1nD2f -0.017 B1nH2f -0.017 B1nR1l -0.017 B1nR1x -0.017 B1qD2h -0.017 B1qH1c -0.017 B1qH1i -0.017 B1rC1h -0.017 B1rD2c -0.017 B1sC1t -0.017 B1sH1c -0.017 B1sH1e -0.017 B1tB2r -0.017 B1tC2y -0.017 B1tH1f -0.017 B1tH1n -0.017 B1tH2r -0.017 B1tR2f -0.017 B1vC2y -0.017 B1vD2y -0.017 B1vH1a -0.017 B1vH2h -0.017 B1vR1n -0.017 B1yC2d -0.017 B1yD1a -0.017 B1yD1i -0.017 B1yD2d -0.017 B1yD2n -0.017 B1yH2d -0.017 B1yH2t -0.017 B2aD2l -0.017 B2cB2l -0.017 B2cB2s -0.017 B2cC2l -0.017 B2cD1s -0.017 B2dB2h -0.017 B2dC1d -0.017 B2dC1y -0.017 B2dD2l -0.017 B2dR1n -0.017 B2eC2e -0.017 B2eD2c -0.017 B2fR1x -0.017 B2fR2i -0.017 B2hB2n -0.017 B2hB2t -0.017 B2hC2n -0.017 B2hD2t -0.017 B2hH1k -0.017 B2hH2n -0.017

B2hR2e -0.017 B2iC1c -0.017 B2iH2h -0.017 B2iR1v -0.017 B2kC1k -0.017 B2kD2k -0.017 B2kH1c -0.017 B2kH1e -0.017 B2kH2m -0.017 B2kR2r -0.017 B2lB2m -0.017 B2lC2c -0.017 B2lD1h -0.017 B2lH2c -0.017 B2lR2h -0.017 B2mB2s -0.017 B2mC1d -0.017 B2mC2l -0.017 B2mD1s -0.017 B2mD2e -0.017 B2mH2v -0.017 B2mR2r -0.017 B2nC1d -0.017 B2nC1y -0.017 B2nD1s -0.017 B2qC1c -0.017 B2qC2y -0.017 B2qH1f -0.017 B2qH2h -0.017 B2qR1f -0.017 B2qR2f -0.017 B2rC1h -0.017 B2rD1s -0.017 B2rD1v -0.017 B2rD1y -0.017 B2rR1y -0.017 B2rR2m -0.017 B2sC2c -0.017 B2sD1h -0.017 B2sH2c -0.017 B2sH2m -0.017 B2tC2h -0.017 B2tD1d -0.017 B2tH1f -0.017 B2tH1n -0.017 B2tR1f -0.017 B2vC1k -0.017 B2vD2k -0.017 B2vH2m -0.017 B2yC1l -0.017 B2yC1t -0.017 B2yD1q -0.017 B2yH2t -0.017 C1cC2i -0.017 C1cD1i -0.017 C1cD2v -0.017 C1cH2i -0.017 C1cH2q -0.017 C1dC2c -0.017 C1dH1m -0.017 C1dH2c -0.017 C1dH2r -0.017 C1dR1i -0.017 C1dR1m -0.017 C1eC1h -0.017 C1fD1m -0.017 C1fH1t -0.017 C1fR1l -0.017 C1fR2k -0.017 C1fR2t -0.017 C1hC1r -0.017 C1hC2r -0.017 C1hH2r -0.017 C1kH2m -0.017 C1mC2n -0.017 C1mD1q -0.017 C1mH1g -0.017 C1mH1s -0.017 C1mH2n -0.017 C1mR1d -0.017 C1mR1k -0.017 C1mR2l -0.017 C1nR2a -0.017 C1nR2i -0.017 C1qD2h -0.017 C1rH2l -0.017 C1sD1h -0.017 C1sH1c -0.017 C1sH1i -0.017 C1sH2m -0.017 C1tD2y -0.017 C1tR1n -0.017 C1vC2y -0.017 C1vD2y -0.017 C1vH2h -0.017 C1vR1n -0.017 C1vR1x -0.017 C1yD1a -0.017 C1yD1n -0.017 C1yD2n -0.017 C2cC2l -0.017 C2cH2v -0.017 C2dC2h -0.017 C2dR1f -0.017 C2dR1n -0.017 C2eD1q -0.017 C2fD1m -0.017 C2fR1q -0.017 C2fR2d -0.017 C2fR2q -0.017 C2hC2n -0.017 C2hD1t -0.017 C2hD2t -0.017 C2hH1d -0.017 C2hH1k -0.017 C2hH2d -0.017 C2hH2n -0.017 C2hH2t -0.017 C2hR1s -0.017 C2iC2y -0.017 C2iD1c -0.017 C2iH2h -0.017 C2iH2y -0.017 C2iR1v -0.017 C2kD2k -0.017 C2kH1c -0.017 C2kH1i -0.017 C2kH2m -0.017 C2lD1h -0.017 C2lH1m -0.017 C2lH2c -0.017 C2mD2d -0.017 C2mD2n -0.017 C2nR1n -0.017 C2pD2q -0.017 C2qC2y -0.017 C2qH1f -0.017 C2qR1f -0.017 C2qR2f -0.017 C2rD1s -0.017 C2rD1y -0.017 C2rD2l -0.017 C2rR2m -0.017 C2sH2m -0.017 C2sR1e -0.017 C2tH1c -0.017 C2tH2m -0.017 C2vH1r -0.017 C2vH2m -0.017 C2yH2q -0.017 D1cH2i -0.017 D1cH2q -0.017 D1dD1y -0.017 D1dH1m -0.017 D1dH2r -0.017 D1dR1i -0.017 D1dR1m -0.017 D1eH2q -0.017 D1eH2v -0.017 D1eR1y -0.017

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D1eR2m -0.017 D1fR2i -0.017 D1hD1k -0.017 D1hD2e -0.017 D1hD2l -0.017 D1hH2v -0.017 D1iR1l -0.017 D1iR1x -0.017 D1iR2k -0.017 D1iR2n -0.017 D1kH2m -0.017 D1lD2m -0.017 D1lH1f -0.017 D1lH1n -0.017 D1lH2y -0.017 D1lR1f -0.017 D1mD2f -0.017 D1mR2p -0.017 D1nD2m -0.017 D1nH2y -0.017 D1nR1t -0.017 D1qD2s -0.017 D1qD2y -0.017 D1qH2e -0.017 D1rD2c -0.017 D1rH1s -0.017 D1sD1y -0.017 D1sD2n -0.017 D1sH1r -0.017 D1tD2h -0.017 D1tH1c -0.017 D1vH2h -0.017 D1vR1n -0.017 D1yD2g -0.017 D1yH2r -0.017 D2dD2h -0.017 D2dH2v -0.017 D2dR2a -0.017 D2eR1m -0.017 D2eR2h -0.017 D2fH1l -0.017 D2fH1q -0.017 D2fH1v -0.017 D2fR2s -0.017 D2hD2n -0.017 D2iD2m -0.017 D2iR1a -0.017 D2iR2d -0.017 D2iR2q -0.017 D2kH1r -0.017 D2kH2k -0.017 D2kH2m -0.017 D2lH1m -0.017 D2mH2i -0.017 D2mR1g -0.017 D2mR1q -0.017 D2nH2a -0.017 D2pH2q -0.017 D2qD2y -0.017 D2qR1f -0.017 D2qR1n -0.017 D2rR1y -0.017 D2sH2a -0.017 D2tH1f -0.017 D2tH1n -0.017 D2tH2l -0.017 D2tR1f -0.017 D2vD2y -0.017 D2vH1a -0.017 D2vH2h -0.017 D2vR1n -0.017 H1cH2k -0.017 H1cH2s -0.017 H1dH1m -0.017 H1dR1i -0.017 H1dR1m -0.017 H1eR2m -0.017 H1fH1t -0.017 H1fH2q -0.017 H1fH2t -0.017 H1fR2k -0.017 H1fR2n -0.017 H1fR2t -0.017 H1iH2k -0.017 H1iH2s -0.017 H1kH1m -0.017 H1kR1i -0.017 H1kR1m -0.017 H1mH2v -0.017 H1mR1s -0.017 H1nH1t -0.017 H1nH2t -0.017 H1nR1l -0.017 H1nR1p -0.017 H1nR2k -0.017 H1nR2n -0.017 H1rH2m -0.017 H1tR2f -0.017 H1vH2h -0.017 H1vR1n -0.017 H2cH2v -0.017 H2dR1f -0.017 H2fR1q -0.017 H2hH2q -0.017 H2iH2y -0.017 H2iR1v -0.017 H2iR2i -0.017 H2kH2m -0.017 H2lR2h -0.017 H2mH2s -0.017 H2mR1r -0.017 H2nR1n -0.017 H2qH2y -0.017 H2qR2f -0.017 H2rR2m -0.017 H2tR1f -0.017 H2vR2h -0.017 R1fR1q -0.017 R1iR1s -0.017 R1mR1s -0.017 R1nR1q -0.017 R1pR2f -0.017 R1qR2f -0.017 R1tR2i -0.017 R2fR2k -0.017 R2fR2n -0.017 R2fR2t -0.017 R2mR2r -0.017 B1aB2d -0.018 B1aB2n -0.018 B1cC2g -0.018 B1cD1l -0.018 B1cD1q -0.018 B1cD2q -0.018 B1cD2t -0.018 B1cH1s -0.018 B1cH2g -0.018 B1dD2r -0.018 B1dH2m -0.018 B1eB1h -0.018 B1eB2l -0.018 B1eD1l -0.018 B1eD2c -0.018 B1fB1n -0.018 B1fR1q -0.018 B1fR2d -0.018 B1fR2q -0.018 B1hB1r -0.018 B1hC1e -0.018 B1hC1r -0.018 B1hH1a -0.018 B1iB2a -0.018 B1iD2i -0.018 B1iH1s -0.018 B1iR1d -0.018 B1iR1k -0.018 B1kC2v -0.018 B1kD2h -0.018 B1kD2k -0.018 B1lB1m -0.018

B1lR1n -0.018 B1mB1q -0.018 B1mB2k -0.018 B1mB2v -0.018 B1mC2k -0.018 B1mC2v -0.018 B1mD2k -0.018 B1mH2k -0.018 B1mR2v -0.018 B1nB2f -0.018 B1nH1t -0.018 B1nR2d -0.018 B1nR2q -0.018 B1nR2t -0.018 B1pB2m -0.018 B1pC2y -0.018 B1qB2h -0.018 B1qC2h -0.018 B1qH2v -0.018 B1rC2c -0.018 B1rH2c -0.018 B1rR2h -0.018 B1sD2h -0.018 B1tB2a -0.018 B1tC1d -0.018 B1tC1m -0.018 B1tC2r -0.018 B1tD2m -0.018 B1tH2y -0.018 B1tR1t -0.018 B1vB1y -0.018 B1vH2y -0.018 B1vR1f -0.018 B1yB2k -0.018 B1yC1v -0.018 B1yD1q -0.018 B1yH1a -0.018 B1yR2x -0.018 B2aC1i -0.018 B2aC2i -0.018 B2aC2l -0.018 B2aH1h -0.018 B2aH1l -0.018 B2aH1y -0.018 B2cB2e -0.018 B2cD1r -0.018 B2cD2r -0.018 B2cH2l -0.018 B2dB2y -0.018 B2dC1m -0.018 B2dC2l -0.018 B2eB2m -0.018 B2eC2c -0.018 B2eD1h -0.018 B2eH2c -0.018 B2eH2e -0.018 B2eR2h -0.018 B2fH1t -0.018 B2fR2d -0.018 B2fR2k -0.018 B2fR2n -0.018 B2gC2q -0.018 B2hB2k -0.018 B2hB2v -0.018 B2hC1k -0.018 B2hC1q -0.018 B2hC2v -0.018 B2hD2d -0.018 B2iD2m -0.018 B2iR2i -0.018 B2kC2m -0.018 B2kD2h -0.018 B2lC2a -0.018 B2lC2d -0.018 B2lH1m -0.018 B2lH2d -0.018 B2mC2e -0.018 B2mD1r -0.018 B2mH2e -0.018 B2mH2l -0.018 B2nB2y -0.018 B2nD2a -0.018 B2nD2y -0.018 B2nH1n -0.018 B2pC1t -0.018 B2qD1c -0.018 B2qH2r -0.018 B2qH2y -0.018 B2rC1d -0.018 B2rC2q -0.018 B2rD1d -0.018 B2rD2c -0.018 B2rR1e -0.018 B2sC2m -0.018 B2sD2h -0.018 B2sH1c -0.018 B2tB2y -0.018 B2tC1m -0.018 B2tC2l -0.018 B2tR2f -0.018 B2vC2h -0.018 B2vC2m -0.018 B2vH1c -0.018 B2vH1i -0.018 B2yD1t -0.018 B2yD2n -0.018 C1aH1h -0.018 C1aH1y -0.018 C1cC2q -0.018 C1cD1l -0.018 C1cD1q -0.018 C1cD2q -0.018 C1cH1s -0.018 C1cR1d -0.018 C1cR2l -0.018 C1dC2r -0.018 C1dD1h -0.018 C1dD2n -0.018 C1dD2r -0.018 C1eD2c -0.018 C1eR1d -0.018 C1fC1i -0.018 C1fR1q -0.018 C1fR2d -0.018 C1fR2q -0.018 C1gC2y -0.018 C1hD1e -0.018 C1iD1m -0.018 C1iR1k -0.018 C1kC2m -0.018 C1kC2v -0.018 C1kD1e -0.018 C1kH1i -0.018 C1kH1r -0.018 C1lR1f -0.018 C1lR1n -0.018 C1lR2a -0.018 C1mC1v -0.018 C1mC2d -0.018 C1mD2d -0.018 C1mH1d -0.018 C1mH1k -0.018 C1mH2d -0.018 C1mR1s -0.018 C1nC2f -0.018 C1nD2f -0.018 C1nH2f -0.018 C1nR1l -0.018 C1nR2t -0.018 C1pC2c -0.018 C1pC2y -0.018 C1pH2c -0.018 C1pR1s -0.018 C1qC2h -0.018 C1rD1y -0.018 C1rD2c -0.018 C1sC2m -0.018 C1sD2h -0.018 C1sH2p -0.018 C1tC2y -0.018

C1tH1f -0.018 C1tH2y -0.018 C1tR2f -0.018 C1vC1y -0.018 C1vH1n -0.018 C1vH2y -0.018 C1vR1f -0.018 C1yC2k -0.018 C1yC2v -0.018 C1yH2k -0.018 C2aH1h -0.018 C2aH1y -0.018 C2aR1h -0.018 C2cC2e -0.018 C2cD1r -0.018 C2cD2r -0.018 C2cD2s -0.018 C2cH2e -0.018 C2cH2l -0.018 C2dD2y -0.018 C2dH1n -0.018 C2dR2f -0.018 C2eD2t -0.018 C2eH2c -0.018 C2eR2h -0.018 C2fD1i -0.018 C2gD2k -0.018 C2hC2k -0.018 C2hC2v -0.018 C2hD2d -0.018 C2hH2k -0.018 C2iD2m -0.018 C2iR2i -0.018 C2kC2m -0.018 C2kD2h -0.018 C2lD2r -0.018 C2lH2m -0.018 C2mC2s -0.018 C2mC2t -0.018 C2mC2v -0.018 C2mD1k -0.018 C2mD2k -0.018 C2mH1r -0.018 C2mH2k -0.018 C2mH2s -0.018 C2nD2y -0.018 C2nH1f -0.018 C2nH1n -0.018 C2qD1c -0.018 C2qD2m -0.018 C2qH1p -0.018 C2qH2y -0.018 C2rD1d -0.018 C2rD2v -0.018 C2sH1c -0.018 C2sH1i -0.018 C2tD2h -0.018 C2tD2k -0.018 C2tR1n -0.018 C2vH1c -0.018 C2vH1i -0.018 C2yD2q -0.018 D1aD2l -0.018 D1aR2q -0.018 D1cD1i -0.018 D1cD1l -0.018 D1cD1n -0.018 D1cD2q -0.018 D1cD2v -0.018 D1cH1s -0.018 D1cR1d -0.018 D1cR1k -0.018 D1cR2l -0.018 D1dD1h -0.018 D1dH2m -0.018 D1fH1t -0.018 D1fR2k -0.018 D1fR2n -0.018 D1fR2t -0.018 D1hD1s -0.018 D1hH2l -0.018 D1iD2f -0.018 D1iH1t -0.018 D1iR2q -0.018 D1kH1c -0.018 D1kH1i -0.018 D1lR2f -0.018 D1mH1t -0.018 D1mR2d -0.018 D1mR2k -0.018 D1mR2n -0.018 D1mR2q -0.018 D1nR1v -0.018 D1qH2h -0.018 D1qR1n -0.018 D1rD1y -0.018 D1rH2c -0.018 D1sH1i -0.018 D1sH2m -0.018 D1sR1r -0.018 D1tD2e -0.018 D1vD2m -0.018 D2cD2r -0.018 D2cD2s -0.018 D2dR1n -0.018 D2eH2m -0.018 D2hD2k -0.018 D2hH2k -0.018 D2hR2x -0.018 D2kH1c -0.018 D2kH2g -0.018 D2lH2m -0.018 D2mD2v -0.018 D2mH1g -0.018 D2mH2q -0.018 D2nR1f -0.018 D2nR1n -0.018 D2qH1f -0.018 D2qH1n -0.018 D2qH2y -0.018 D2rH2c -0.018 D2sH1m -0.018 D2sH2c -0.018 D2sR1i -0.018 D2sR1m -0.018 D2tD2y -0.018 D2tH2h -0.018 D2vH2r -0.018 D2vR1f -0.018 D2yH2d -0.018 D2yH2n -0.018 D2yH2t -0.018 H1aH1h -0.018 H1aH1y -0.018 H1cH1s -0.018 H1eH2m -0.018 H1fH2n -0.018 H1fR1q -0.018 H1fR2d -0.018 H1fR2q -0.018 H1hH2a -0.018 H1iH1s -0.018 H1iR1d -0.018 H1iR1k -0.018 H1iR2l -0.018 H1lH2f -0.018 H1lR1n -0.018 H1mH2l -0.018 H1nH2d -0.018 H1nH2n -0.018 H1nR2d -0.018 H1nR2q -0.018 H1pH2t -0.018 H1qH2f -0.018 H1tR1t -0.018 H1vR1f -0.018 H1yH2a -0.018 H1yR2x -0.018 H2cH2e -0.018 H2cH2l -0.018

H2dR2f -0.018 H2fR2s -0.018 H2hR1d -0.018 H2hR1k -0.018 H2hR2v -0.018 H2iR2k -0.018 H2iR2t -0.018 H2mH2v -0.018 H2mR2r -0.018 H2qR1t -0.018 H2tR2f -0.018 R1dR2r -0.018 R1fR2s -0.018 R1iR2v -0.018 R1lR1t -0.018 R1mR2v -0.018 R1nR2s -0.018 R1sR2e -0.018 R1tR2k -0.018 R1tR2n -0.018 R1tR2t -0.018 R2dR2f -0.018 R2eR2h -0.018 R2fR2q -0.018 B1aH1h -0.019 B1aH1y -0.019 B1aR1h -0.019 B1cB1v -0.019 B1cB2d -0.019 B1cB2n -0.019 B1cC2d -0.019 B1cC2n -0.019 B1cD2n -0.019 B1cH1d -0.019 B1cH1k -0.019 B1cH2d -0.019 B1cH2n -0.019 B1cH2t -0.019 B1cR1s -0.019 B1dC2m -0.019 B1dD2h -0.019 B1dH1c -0.019 B1dH1i -0.019 B1eB2c -0.019 B1eD1h -0.019 B1eD2q -0.019 B1eH2l -0.019 B1eR1d -0.019 B1fC1n -0.019 B1fC1p -0.019 B1fH1l -0.019 B1fH1v -0.019 B1fH2i -0.019 B1fH2q -0.019 B1fR2s -0.019 B1gC1y -0.019 B1hD1e -0.019 B1hR1x -0.019 B1hR2p -0.019 B1iB1n -0.019 B1iD1f -0.019 B1iD2g -0.019 B1iD2p -0.019 B1iH1d -0.019 B1iH1k -0.019 B1iH2q -0.019 B1iR1s -0.019 B1kB1m -0.019 B1kB2y -0.019 B1kC2h -0.019 B1kH1c -0.019 B1kH1i -0.019 B1lC2y -0.019 B1lH2h -0.019 B1lR1f -0.019 B1mB1s -0.019 B1mC1k -0.019 B1mC2t -0.019 B1mD1t -0.019 B1mD2e -0.019 B1mD2l -0.019 B1mH1r -0.019 B1mH2v -0.019 B1nD1m -0.019 B1nR1a -0.019 B1nR1q -0.019 B1pC1t -0.019 B1pH1m -0.019 B1qC1m -0.019 B1qD2y -0.019 B1rB2c -0.019 B1rB2m -0.019 B1rC1v -0.019 B1rH1k -0.019 B1rH1m -0.019 B1rH2m -0.019 B1rR1m -0.019 B1rR2p -0.019 B1sB2h -0.019 B1sC2h -0.019 B1tB1y -0.019 B1tR1v -0.019 B1vC1c -0.019 B1vD2r -0.019 B1vH1f -0.019 B1wB2a -0.019 B1wC2a -0.019 B1yC1l -0.019 B1yC2t -0.019 B1yR1x -0.019 B2aB2w -0.019 B2aC1w -0.019 B2aC2w -0.019 B2aD1w -0.019 B2aH2w -0.019 B2cB2r -0.019 B2cC1e -0.019 B2cC1r -0.019 B2dD2y -0.019 B2dH1f -0.019 B2dH1n -0.019 B2dH2l -0.019 B2dR2f -0.019 B2eR1m -0.019 B2fC1n -0.019 B2fD1i -0.019 B2fR1q -0.019 B2gR1y -0.019 B2gR2m -0.019 B2hB2s -0.019 B2hC2s -0.019 B2hD1k -0.019 B2hD2k -0.019 B2hH2s -0.019 B2hH2v -0.019 B2iD2p -0.019 B2iR2n -0.019 B2iR2t -0.019 B2kB2y -0.019 B2kC1m -0.019 B2kR1f -0.019 B2kR1n -0.019 B2mB2r -0.019 B2mC1e -0.019 B2mC2r -0.019 B2mD2r -0.019 B2mH2r -0.019 B2nC1c -0.019 B2nR2f -0.019 B2qC2r -0.019 B2qD2m -0.019 B2qD2r -0.019 B2qR1t -0.019 B2rD1h -0.019 B2sC1y -0.019 B2tC1c -0.019 B2tC1g -0.019 B2tD2y -0.019 B2tH2h -0.019 B2tH2l -0.019

B2tR1t -0.019 B2vB2y -0.019 B2vC1m -0.019 B2vR1r -0.019 B2wC2a -0.019 B2yC1k -0.019 B2yC2t -0.019 B2yC2v -0.019 B2yD2k -0.019 C1aD2a -0.019 C1aR1h -0.019 C1cC1v -0.019 C1cC2n -0.019 C1cD2n -0.019 C1cH2n -0.019 C1cR1s -0.019 C1dH1c -0.019 C1dR2e -0.019 C1eD1v -0.019 C1eR1k -0.019 C1eR2h -0.019 C1fC1n -0.019 C1fH1v -0.019 C1iC2i -0.019 C1iD1f -0.019 C1iD2p -0.019 C1iH1d -0.019 C1iH1k -0.019 C1iH2a -0.019 C1iH2i -0.019 C1iH2q -0.019 C1iR1s -0.019 C1kC2h -0.019 C1lC1m -0.019 C1lC1y -0.019 C1lD1s -0.019 C1lD2p -0.019 C1lH1f -0.019 C1mC1q -0.019 C1mC1t -0.019 C1mC2s -0.019 C1mD1t -0.019 C1mD2k -0.019 C1mH2s -0.019 C1nD2p -0.019 C1nR1q -0.019 C1nR2p -0.019 C1nR2q -0.019 C1pD1k -0.019 C1pD2f -0.019 C1qR1f -0.019 C1rC2c -0.019 C1rH2c -0.019 C1sR1n -0.019 C1sR2r -0.019 C1tC1y -0.019 C1tD2m -0.019 C1tD2r -0.019 C1tR1t -0.019 C1vD1c -0.019 C1vD2m -0.019 C1vR2f -0.019 C1wC2a -0.019 C1yC2s -0.019 C1yD2e -0.019 C1yH2s -0.019 C1yH2v -0.019 C2aC2w -0.019 C2aD1w -0.019 C2aD2f -0.019 C2aH2w -0.019 C2aR1v -0.019 C2cC2r -0.019 C2cH2r -0.019 C2dC2y -0.019 C2dH2h -0.019 C2dR1t -0.019 C2eH1m -0.019 C2eH2m -0.019 C2eR1i -0.019 C2eR1m -0.019 C2eR2v -0.019 C2fD1n -0.019 C2fH1l -0.019 C2fH1q -0.019 C2fH2i -0.019 C2fR2s -0.019 C2gR1y -0.019 C2hC2s -0.019 C2hC2t -0.019 C2hD2k -0.019 C2hH1p -0.019 C2hH1r -0.019 C2hH2s -0.019 C2hH2v -0.019 C2iH1t -0.019 C2iR2k -0.019 C2kD1k -0.019 C2kR1f -0.019 C2lC2m -0.019 C2lD2h -0.019 C2lH1i -0.019 C2mD1d -0.019 C2mD1s -0.019 C2mD2e -0.019 C2mD2l -0.019 C2mH1e -0.019 C2mH2l -0.019 C2mR1r -0.019 C2nC2y -0.019 C2nH2h -0.019 C2nH2y -0.019 C2nR1t -0.019 C2qD1e -0.019 C2qH1g -0.019 C2qR1t -0.019 C2qR2i -0.019 C2rD1h -0.019 C2rH2c -0.019 C2sR1n -0.019 C2tR1f -0.019 C2vD2e -0.019 C2vD2y -0.019 C2yD2n -0.019 C2yH2d -0.019 C2yH2n -0.019 C2yH2t -0.019 D1cD1q -0.019 D1cD1v -0.019 D1cD2t -0.019 D1cH2t -0.019 D1cR1s -0.019 D1dH1i -0.019 D1eD1y -0.019 D1eD2l -0.019 D1fD1m -0.019 D1fR1q -0.019 D1hD1r -0.019 D1hD2r -0.019 D1hH2r -0.019 D1iR2s -0.019 D1kD2k -0.019 D1kH2k -0.019 D1kR1a -0.019 D1lD2f -0.019 D1mR1q -0.019 D1pD2h -0.019 D1pH1d -0.019 D1qD2m -0.019 D1qH1f -0.019 D1rH2m -0.019 D1rH2n -0.019 D1sD2h -0.019 D1tH2h -0.019 D1tR1f -0.019 D1tR1n -0.019 D1vH1a -0.019 D1vH1f -0.019 D1vH1n -0.019 D1vR2f -0.019

D2aH1h -0.019 D2aH1k -0.019 D2aH1y -0.019 D2aR1h -0.019 D2aR1t -0.019 D2dD2y -0.019 D2dH1f -0.019 D2dH1n -0.019 D2dR1f -0.019 D2eD2h -0.019 D2eH1c -0.019 D2fD2i -0.019 D2fH1s -0.019 D2fR2l -0.019 D2gR1y -0.019 D2hD2l -0.019 D2hR1x -0.019 D2hR2a -0.019 D2hR2p -0.019 D2iR2s -0.019 D2lH1c -0.019 D2lH1i -0.019 D2lR2e -0.019 D2mD2q -0.019 D2mH1l -0.019 D2mH1q -0.019 D2nD2y -0.019 D2nH1f -0.019 D2nR2f -0.019 D2pH2f -0.019 D2qR1t -0.019 D2qR2f -0.019 D2qR2g -0.019 D2tH2e -0.019 D2vH1f -0.019 D2vH1n -0.019 H1aR1h -0.019 H1aR2v -0.019 H1cH1d -0.019 H1cH1k -0.019 H1cH2v -0.019 H1cR1s -0.019 H1dH1i -0.019 H1fH1l -0.019 H1fH1v -0.019 H1hR1x -0.019 H1hR2p -0.019 H1iH1k -0.019 H1iH2v -0.019 H1iR1s -0.019 H1lH1n -0.019 H1mH1r -0.019 H1mH2e -0.019 H1nH1v -0.019 H1qR1f -0.019 H1rR1i -0.019 H1rR1m -0.019 H1rR2h -0.019 H1sH2h -0.019 H1tH2i -0.019 H1yR1x -0.019 H2cH2r -0.019 H2dH2h -0.019 H2dR1t -0.019 H2eH2m -0.019 H2eR1i -0.019 H2eR2h -0.019 H2gR1y -0.019 H2hH2n -0.019 H2hH2t -0.019 H2iR2d -0.019 H2kR1f -0.019 H2lH2m -0.019 H2nH2y -0.019 H2nR1t -0.019 H2pR2k -0.019 H2qR1v -0.019 H2qR2i -0.019 H2sR1n -0.019 H2tH2y -0.019 R1hR1x -0.019 R1lR1v -0.019 R1qR1t -0.019 R1rR2h -0.019 R1tR2d -0.019 R1tR2p -0.019 R1tR2q -0.019 R1vR2n -0.019 R1vR2t -0.019 R2fR2s -0.019 B1aB2w -0.020 B1aD2w -0.020 B1cB1t -0.020 B1cC1t -0.020 B1cD2d -0.020 B1cR2v -0.020 B1dB1m -0.020 B1dB2h -0.020 B1dR2e -0.020 B1eH1s -0.020 B1eH2m -0.020 B1eR2h -0.020 B1fB2q -0.020 B1fC2q -0.020 B1fD1q -0.020 B1fD1v -0.020 B1fD2v -0.020 B1fH1q -0.020 B1gH1w -0.020 B1hR1a -0.020 B1iB2q -0.020 B1iC2q -0.020 B1iD2q -0.020 B1iR2v -0.020 B1kR1n -0.020 B1lB1y -0.020 B1lD2m -0.020 B1lH1f -0.020 B1lH1n -0.020 B1lH2y -0.020 B1mC1d -0.020 B1mR1r -0.020 B1nD1f -0.020 B1nD2i -0.020 B1nH1l -0.020 B1nH1q -0.020 B1nH1v -0.020 B1nR1p -0.020 B1pR1i -0.020 B1qB1y -0.020 B1qH1n -0.020 B1qH2h -0.020 B1rD1r -0.020 B1sD2y -0.020 B1sR2f -0.020 B1tR2i -0.020 B1vR1t -0.020 B1wD2a -0.020 B1wH1g -0.020 B1wH2a -0.020 B1yB2e -0.020 B1yB2p -0.020 B1yR1p -0.020 B2aD2w -0.020 B2cD1e -0.020 B2eD2h -0.020 B2fD1l -0.020 B2fD1n -0.020 B2fH1q -0.020 B2fH1v -0.020 B2fR2s -0.020 B2hB2l -0.020 B2hD1d -0.020 B2hD2l -0.020 B2hR1e -0.020 B2hR1r -0.020 B2iC1i -0.020 B2iC2f -0.020 B2iR2a -0.020 B2iR2d -0.020

B2kH1n -0.020 B2kH2v -0.020 B2lC1y -0.020 B2lC2h -0.020 B2lH1c -0.020 B2nR1t -0.020 B2pR2n -0.020 B2qC1i -0.020 B2qR1v -0.020 B2qR2i -0.020 B2rH2m -0.020 B2rR2h -0.020 B2sB2y -0.020 B2sC1m -0.020 B2sC2t -0.020 B2sD2k -0.020 B2sR1n -0.020 B2tD1c -0.020 B2tD2m -0.020 B2vR1e -0.020 B2wH2a -0.020 B2yD1k -0.020 B2yH1g -0.020 B2yH2v -0.020 C1aC2w -0.020 C1aD2w -0.020 C1aH2w -0.020 C1cC1l -0.020 C1cC1t -0.020 C1cC2d -0.020 C1cH2d -0.020 C1dC2h -0.020 C1eD1q -0.020 C1eH1m -0.020 C1eH2m -0.020 C1eR1i -0.020 C1fD1i -0.020 C1fH1q -0.020 C1fH2q -0.020 C1gH1w -0.020 C1iC1n -0.020 C1iC2q -0.020 C1iD2q -0.020 C1iR2v -0.020 C1kC1m -0.020 C1kR1n -0.020 C1lD2m -0.020 C1lH2p -0.020 C1lR1x -0.020 C1mD2l -0.020 C1nH1a -0.020 C1pD1t -0.020 C1qC1y -0.020 C1qH1f -0.020 C1qH2h -0.020 C1qR2f -0.020 C1rH2m -0.020 C1rR2p -0.020 C1sC2p -0.020 C1sC2s -0.020 C1vC2a -0.020 C1vR1t -0.020 C1wD2a -0.020 C1wH1g -0.020 C1wH2a -0.020 C1yC2l -0.020 C1yD2g -0.020 C1yH2l -0.020 C2cD1e -0.020 C2dD2m -0.020 C2dH2y -0.020 C2eC2m -0.020 C2eD2h -0.020 C2fC2i -0.020 C2fC2q -0.020 C2fD1v -0.020 C2fD2q -0.020 C2fH2q -0.020 C2fR1d -0.020 C2hC2l -0.020 C2hD1d -0.020 C2hD2e -0.020 C2hD2l -0.020 C2hH2l -0.020 C2hR1r -0.020 C2hR2r -0.020 C2iR2d -0.020 C2iR2q -0.020 C2kD2e -0.020 C2kD2y -0.020 C2kH1f -0.020 C2kH1n -0.020 C2mH2e -0.020 C2mR2r -0.020 C2nD1r -0.020 C2nD2m -0.020 C2pR2n -0.020 C2qD2f -0.020 C2qD2p -0.020 C2qR1v -0.020 C2qR2t -0.020 C2rD2q -0.020 C2rH2m -0.020 C2rR2h -0.020 C2sR1f -0.020 C2tD2y -0.020 C2tH1n -0.020 C2tR2f -0.020 C2wH2a -0.020 C2yD2d -0.020 D1aD2m -0.020 D1aH1y -0.020 D1aR1h -0.020 D1cR2v -0.020 D1dR2e -0.020 D1eD1h -0.020 D1eH1e -0.020 D1eH2c -0.020 D1eR1d -0.020 D1fH1v -0.020 D1gH1w -0.020 D1iH1v -0.020 D1kD2y -0.020 D1kR2r -0.020 D1lR1v -0.020 D1mD2i -0.020 D1mH1l -0.020 D1mH1q -0.020 D1mR2s -0.020 D1nH1t -0.020 D1nH2f -0.020 D1nR2t -0.020 D1qD2r -0.020 D1qR1t -0.020 D1qR2f -0.020 D1rD2h -0.020 D1rR1i -0.020 D1tH1f -0.020 D1tH1n -0.020 D1tR2f -0.020 D1vH2f -0.020 D1vR1t -0.020 D1wD2a -0.020 D1wH1g -0.020 D1wH2a -0.020 D1yH1g -0.020 D2aD2w -0.020 D2aH2q -0.020 D2dH2h -0.020 D2eH2k -0.020 D2fD2v -0.020 D2fH1d -0.020 D2fH2q -0.020 D2fR1s -0.020 D2hH2e -0.020 D2hH2l -0.020 D2hR1p -0.020 D2iH1q -0.020 D2iH1v -0.020 D2kD2y -0.020

D2kR1n -0.020 D2mD2t -0.020 D2mH1s -0.020 D2mH2d -0.020 D2mH2n -0.020 D2mH2t -0.020 D2mR1d -0.020 D2mR1k -0.020 D2mR2l -0.020 D2nH2y -0.020 D2qH2f -0.020 D2qH2r -0.020 D2rH2l -0.020 D2rH2m -0.020 D2rR2h -0.020 D2sH1i -0.020 D2sH2m -0.020 D2tR1v -0.020 D2vR1t -0.020 D2yH2k -0.020 H1aH2i -0.020 H1cR2v -0.020 H1dH2h -0.020 H1eR2h -0.020 H1fH1q -0.020 H1fH2k -0.020 H1gH1w -0.020 H1hR1a -0.020 H1iH2l -0.020 H1iR2v -0.020 H1kH2f -0.020 H1kH2h -0.020 H1lR2f -0.020 H1mR1r -0.020 H1nH1q -0.020 H1nH2k -0.020 H1qR2f -0.020 H1sR1f -0.020 H1tR2i -0.020 H1vR1t -0.020 H1yR1p -0.020 H2aH2w -0.020 H2aR1r -0.020 H2dH2y -0.020 H2fH2i -0.020 H2fH2q -0.020 H2fR1d -0.020 H2fR1k -0.020 H2iR1q -0.020 H2mH2r -0.020 H2pR1s -0.020 H2qR2t -0.020 H2rR2h -0.020 H2sR1f -0.020 R1aR1h -0.020 R1dR1f -0.020 R1dR1n -0.020 R1eR1i -0.020 R1eR1m -0.020 R1eR2h -0.020 R1fR2l -0.020 R1hR1p -0.020 R1iR1r -0.020 R1iR2e -0.020 R1kR1n -0.020 R1lR2n -0.020 R1lR2t -0.020 R1mR1r -0.020 R1mR2e -0.020 R1nR2l -0.020 R1qR2i -0.020 R1vR2d -0.020 R1vR2q -0.020 R2hR2r -0.020 R2iR2k -0.020 R2iR2n -0.020 R2iR2t -0.020 B1aB1w -0.021 B1aC1t -0.021 B1aC1w -0.021 B1aD1w -0.021 B1cB1l -0.021 B1cB1q -0.021 B1cB2k -0.021 B1cB2s -0.021 B1cB2v -0.021 B1cC2k -0.021 B1cC2s -0.021 B1cC2t -0.021 B1cD2k -0.021 B1cH2k -0.021 B1cH2s -0.021 B1dR1n -0.021 B1eC2m -0.021 B1eH1m -0.021 B1eR1i -0.021 B1eR1m -0.021 B1eR2x -0.021 B1fD2t -0.021 B1fH1s -0.021 B1fH2n -0.021 B1fR1d -0.021 B1fR1k -0.021 B1gD2s -0.021 B1iC2g -0.021 B1iH2g -0.021 B1kB1y -0.021 B1kC1m -0.021 B1kC2y -0.021 B1kH2h -0.021 B1kH2y -0.021 B1lC1a -0.021 B1lD1c -0.021 B1lD1d -0.021 B1mB1r -0.021 B1mB2e -0.021 B1mC2e -0.021 B1mD1r -0.021 B1mH1e -0.021 B1mH2e -0.021 B1nC1n -0.021 B1pH2y -0.021 B1qD1c -0.021 B1qD1s -0.021 B1qD2m -0.021 B1qR2f -0.021 B1rD2h -0.021 B1sB1y -0.021 B1sH2h -0.021 B1tR1l -0.021 B1tR2n -0.021 B1vD2f -0.021 B1vR1v -0.021 B1yB2r -0.021 B1yC2e -0.021 B1yD1t -0.021 B1yD2s -0.021 B1yH2e -0.021 B2aC1f -0.021 B2dR1p -0.021 B2eB2h -0.021 B2eH1c -0.021 B2eH1i -0.021 B2fB2i -0.021 B2gC1i -0.021 B2gH1w -0.021 B2gR2q -0.021 B2hC2e -0.021 B2hH2e -0.021 B2iC1f -0.021 B2iD2a -0.021 B2iH2f -0.021 B2iR2s -0.021 B2kC1c -0.021 B2kC2y -0.021 B2kH2y -0.021 B2lB2y -0.021 B2lC1m -0.021 B2lD1e -0.021 B2lH2a -0.021

B2qC1f -0.021 B2qC2f -0.021 B2qH2f -0.021 B2qR2k -0.021 B2qR2n -0.021 B2qR2t -0.021 B2rC2m -0.021 B2rH1m -0.021 B2rR1m -0.021 B2rR2l -0.021 B2sC1c -0.021 B2sC2y -0.021 B2sD2y -0.021 B2sH1n -0.021 B2sH2h -0.021 B2sR2r -0.021 B2tC2e -0.021 B2tH2e -0.021 B2tR1l -0.021 B2vC1c -0.021 B2vD1c -0.021 B2vH1f -0.021 B2vH1n -0.021 B2vH2h -0.021 B2vR1f -0.021 B2yC2l -0.021 B2yD2l -0.021 B2yH2l -0.021 B2yR1g -0.021 C1aC1w -0.021 C1aC2f -0.021 C1aH1l -0.021 C1cC1q -0.021 C1cC2t -0.021 C1cC2v -0.021 C1cD2k -0.021 C1dR1r -0.021 C1eC2m -0.021 C1eD1r -0.021 C1eD2h -0.021 C1eD2s -0.021 C1fC2q -0.021 C1fD1l -0.021 C1fD1q -0.021 C1fD1v -0.021 C1fH1s -0.021 C1fR1d -0.021 C1fR1k -0.021 C1gR1l -0.021 C1iD1l -0.021 C1iD1n -0.021 C1kC1y -0.021 C1kC2a -0.021 C1kC2y -0.021 C1kH2h -0.021 C1kH2v -0.021 C1kH2y -0.021 C1kR1f -0.021 C1mC1s -0.021 C1mD2p -0.021 C1mH1r -0.021 C1mR1g -0.021 C1mR1r -0.021 C1nD1f -0.021 C1nH1l -0.021 C1nH1v -0.021 C1nR1a -0.021 C1nR2s -0.021 C1pH1a -0.021 C1pH2y -0.021 C1pR1k -0.021 C1qD1c -0.021 C1qR1t -0.021 C1rD2h -0.021 C1rD2s -0.021 C1rH2t -0.021 C1sC1y -0.021 C1sC2y -0.021 C1sD2e -0.021 C1sH1f -0.021 C1sH1n -0.021 C1sR2f -0.021 C1tR1v -0.021 C1vC2f -0.021 C1vD1a -0.021 C1vH2f -0.021 C1vR1v -0.021 C1wR1g -0.021 C1yD2r -0.021 C1yH1a -0.021 C1yR2a -0.021 C1yR2x -0.021 C2aD2q -0.021 C2dD1r -0.021 C2dH2e -0.021 C2eC2h -0.021 C2eH1c -0.021 C2eH1i -0.021 C2eH2d -0.021 C2fD1q -0.021 C2fH1k -0.021 C2fR1k -0.021 C2gH1w -0.021 C2hH2e -0.021 C2iH1v -0.021 C2iR1q -0.021 C2kC2y -0.021 C2kD2l -0.021 C2kH2h -0.021 C2kH2y -0.021 C2mC2r -0.021 C2mD2r -0.021 C2mD2s -0.021 C2mH2r -0.021 C2pR1s -0.021 C2qH2f -0.021 C2rH1m -0.021 C2rH1s -0.021 C2rR1i -0.021 C2rR1m -0.021 C2sC2y -0.021 C2sH1f -0.021 C2sH1n -0.021 C2sH2v -0.021 C2tC2y -0.021 C2tD1c -0.021 C2tH2h -0.021 C2tH2v -0.021 C2tH2y -0.021 C2vC2y -0.021 C2vH2h -0.021 C2vH2y -0.021 C2yD1k -0.021 C2yH2k -0.021 C2yH2s -0.021 D1aR2l -0.021 D1cD2d -0.021 D1dH1r -0.021 D1dR1n -0.021 D1eD2q -0.021 D1eH1m -0.021 D1eH1s -0.021 D1eR1i -0.021 D1eR1m -0.021 D1fD2i -0.021 D1fH1l -0.021 D1fH1q -0.021 D1hH1a -0.021 D1iD1m -0.021 D1lD1m -0.021 D1mD1n -0.021 D1nR2d -0.021 D1nR2q -0.021 D1pH1c -0.021 D1rH2d -0.021 D1sH1n -0.021 D1sR1f -0.021 D1tD2a -0.021 D1tD2m -0.021 D1wR1g -0.021

D1yR1g -0.021 D2aR1s -0.021 D2cR1g -0.021 D2dD2m -0.021 D2dH1a -0.021 D2dH2y -0.021 D2eD2y -0.021 D2fD2q -0.021 D2fH2a -0.021 D2fR2v -0.021 D2hD2r -0.021 D2hD2s -0.021 D2hH1a -0.021 D2iR1d -0.021 D2kH1f -0.021 D2kH1n -0.021 D2kH2h -0.021 D2lD2y -0.021 D2lH2k -0.021 D2lR1n -0.021 D2mD2n -0.021 D2pH1a -0.021 D2qR1v -0.021 D2rH1e -0.021 D2rH1m -0.021 D2rH2a -0.021 D2rR1i -0.021 D2tR1l -0.021 D2tR2i -0.021 D2yH1a -0.021 D2yR2a -0.021 D2yR2x -0.021 H1cH2e -0.021 H1dH2f -0.021 H1eH1m -0.021 H1eR1m -0.021 H1fH1s -0.021 H1fH2s -0.021 H1gR2y -0.021 H1iH2e -0.021 H1kR1f -0.021 H1mH2r -0.021 H1mR2r -0.021 H1nH1s -0.021 H1nH2s -0.021 H1qR1t -0.021 H1rR2v -0.021 H1sH2r -0.021 H1tH2q -0.021 H1tR2k -0.021 H1tR2n -0.021 H1vH2i -0.021 H1vH2p -0.021 H1wH2g -0.021 H2eR2v -0.021 H2fR1s -0.021 H2hH2k -0.021 H2hH2s -0.021 H2hR2r -0.021 H2iR2s -0.021 H2kH2y -0.021 H2rR1i -0.021 H2rR1m -0.021 H2sR2f -0.021 R1dR2f -0.021 R1fR1k -0.021 R1gR2v -0.021 R1iR2r -0.021 R1kR2f -0.021 R1lR2d -0.021 R1lR2q -0.021 R1mR2r -0.021 R1nR1s -0.021 R1qR1v -0.021 R1qR2k -0.021 R1qR2n -0.021 R1qR2t -0.021 R1tR2s -0.021 R2dR2i -0.021 R2iR2q -0.021 R2kR2n -0.021 R2kR2t -0.021 R2nR2t -0.021 B1aD2p -0.022 B1aR2x -0.022 B1cB1k -0.022 B1cD2e -0.022 B1cD2l -0.022 B1cH1r -0.022 B1cR2e -0.022 B1dB1y -0.022 B1dB2k -0.022 B1dC1q -0.022 B1dC2v -0.022 B1dC2y -0.022 B1dD2y -0.022 B1dH1r -0.022 B1dR1f -0.022 B1dR1x -0.022 B1eB1m -0.022 B1eB2h -0.022 B1eC2h -0.022 B1fB1v -0.022 B1fB2d -0.022 B1fB2n -0.022 B1fB2t -0.022 B1fC1v -0.022 B1fC2n -0.022 B1fH1k -0.022 B1fH2p -0.022 B1gH1i -0.022 B1hC2g -0.022 B1hH2g -0.022 B1iB2n -0.022 B1iC2d -0.022 B1iD1q -0.022 B1iD1v -0.022 B1iD2n -0.022 B1iH1r -0.022 B1iH2d -0.022 B1iH2p -0.022 B1iH2t -0.022 B1kD2e -0.022 B1kD2l -0.022 B1kD2m -0.022 B1kH1f -0.022 B1kH1n -0.022 B1kR2f -0.022 B1mB2p -0.022 B1mB2r -0.022 B1nB2i -0.022 B1nD2v -0.022 B1nH1s -0.022 B1nR1d -0.022 B1nR1k -0.022 B1pR1q -0.022 B1qC1d -0.022 B1qD1p -0.022 B1qD2a -0.022 B1qR1t -0.022 B1rB2y -0.022 B1rH1c -0.022 B1rH1i -0.022 B1tR2q -0.022 B1vR2i -0.022 B1wR2g -0.022 B1yC2p -0.022 B1yD1s -0.022 B1yH2p -0.022 B2dC1e -0.022 B2dC1r -0.022 B2dD2s -0.022 B2dR2i -0.022 B2eB2y -0.022 B2fB2q -0.022 B2fC1v -0.022 B2fD1q -0.022 B2fD2q -0.022 B2fD2t -0.022 B2fR1d -0.022

B2gC1h -0.022 B2gD1y -0.022 B2gR2y -0.022 B2hB2r -0.022 B2hD2r -0.022 B2hH2p -0.022 B2iD1f -0.022 B2iD1m -0.022 B2iH1l -0.022 B2kC1d -0.022 B2kC2l -0.022 B2kD1d -0.022 B2lC2k -0.022 B2lH2k -0.022 B2lR1n -0.022 B2pC1y -0.022 B2pC2h -0.022 B2qD1f -0.022 B2qD1m -0.022 B2qR2d -0.022 B2qR2q -0.022 B2rC2h -0.022 B2rD2t -0.022 B2sD1c -0.022 B2sR2f -0.022 B2tC1i -0.022 B2tC1r -0.022 B2tR2k -0.022 B2tR2n -0.022 B2tR2t -0.022 B2vC1d -0.022 B2vR2f -0.022 B2wD1a -0.022 B2yC1r -0.022 B2yC2e -0.022 B2yD1r -0.022 B2yD2s -0.022 B2yH2e -0.022 B2yR2g -0.022 C1aH2f -0.022 C1aR1v -0.022 C1cC1k -0.022 C1cD1k -0.022 C1cD2e -0.022 C1cH2v -0.022 C1cR2e -0.022 C1dC1m -0.022 C1dC2y -0.022 C1dD1a -0.022 C1dH2h -0.022 C1dR1f -0.022 C1eC2h -0.022 C1fD2q -0.022 C1fD2t -0.022 C1fH1k -0.022 C1fR2l -0.022 C1gH2y -0.022 C1hC2g -0.022 C1hD2a -0.022 C1hH2g -0.022 C1iD2n -0.022 C1iH1r -0.022 C1iR1r -0.022 C1iR2e -0.022 C1kR2f -0.022 C1lD2r -0.022 C1lR1v -0.022 C1mC2e -0.022 C1mD1r -0.022 C1mD2r -0.022 C1mD2s -0.022 C1mH1e -0.022 C1mH2e -0.022 C1nH1q -0.022 C1nH2i -0.022 C1nH2q -0.022 C1rH1c -0.022 C1rH1d -0.022 C1sR1t -0.022 C1tD1r -0.022 C1tR2k -0.022 C1tR2n -0.022 C1tR2t -0.022 C1vR2i -0.022 C1yD1k -0.022 C2dR2k -0.022 C2dR2n -0.022 C2dR2t -0.022 C2eD1t -0.022 C2fC2n -0.022 C2fD2n -0.022 C2fH1d -0.022 C2fH2n -0.022 C2fH2t -0.022 C2fR1s -0.022 C2hC2r -0.022 C2hD2s -0.022 C2hH2r -0.022 C2iH1a -0.022 C2iH1q -0.022 C2iR2s -0.022 C2kD2m -0.022 C2kD2p -0.022 C2kR1t -0.022 C2lC2y -0.022 C2lD2y -0.022 C2lH2h -0.022 C2lR1f -0.022 C2lR1n -0.022 C2mD1e -0.022 C2nR1l -0.022 C2nR2i -0.022 C2pH1v -0.022 C2qH1t -0.022 C2rD2t -0.022 C2sH2y -0.022 C2sR1t -0.022 C2tD2e -0.022 C2vH1p -0.022 C2wD1a -0.022 C2yH2v -0.022 D1aD2w -0.022 D1aH2w -0.022 D1cD1t -0.022 D1cH1r -0.022 D1cR1r -0.022 D1dH2h -0.022 D1dR1f -0.022 D1eD2h -0.022 D1fD1i -0.022 D1fD1n -0.022 D1fD2v -0.022 D1gD2q -0.022 D1hR1x -0.022 D1iD2i -0.022 D1iH1s -0.022 D1iR1k -0.022 D1kH2y -0.022 D1kR2f -0.022 D1lH1t -0.022 D1lR2k -0.022 D1lR2n -0.022 D1mD1q -0.022 D1mD1v -0.022 D1mH1s -0.022 D1mR1k -0.022 D1nH1p -0.022 D1nR1q -0.022 D1pH2l -0.022 D1qH2f -0.022 D1rD2n -0.022 D1rH1c -0.022 D1rR2p -0.022 D1sH1p -0.022 D1tH2e -0.022 D1tR1t -0.022 D1vR1a -0.022 D1yD2a -0.022 D1yH2g -0.022 D2dR1v -0.022

D2eH2h -0.022 D2eH2s -0.022 D2eR1f -0.022 D2fD2t -0.022 D2fH2d -0.022 D2fH2t -0.022 D2gH1w -0.022 D2gR2y -0.022 D2iH1s -0.022 D2iR2v -0.022 D2kD2m -0.022 D2lH2h -0.022 D2lR1f -0.022 D2mH1d -0.022 D2mH2k -0.022 D2mR2v -0.022 D2nH2f -0.022 D2nR1v -0.022 D2pH1s -0.022 D2pH1t -0.022 D2pH2k -0.022 D2pH2t -0.022 D2qR1l -0.022 D2qR2i -0.022 D2sR1n -0.022 D2tH2r -0.022 D2tR2k -0.022 D2tR2n -0.022 D2tR2t -0.022 D2yH2l -0.022 D2yR2p -0.022 H1cH1r -0.022 H1cR2e -0.022 H1dR1f -0.022 H1dR1r -0.022 H1fH1k -0.022 H1fR2l -0.022 H1iH1r -0.022 H1iR1r -0.022 H1kH1n -0.022 H1kR2f -0.022 H1lR1v -0.022 H1qH2i -0.022 H1qR2a -0.022 H1rH2v -0.022 H1tR2d -0.022 H1tR2q -0.022 H1wR2g -0.022 H2aR1e -0.022 H2dR2k -0.022 H2dR2n -0.022 H2dR2t -0.022 H2fH2n -0.022 H2hH2v -0.022 H2hR1r -0.022 H2kR1t -0.022 H2lR1n -0.022 H2nR1l -0.022 H2nR2i -0.022 H2sH2y -0.022 H2sR1t -0.022 H2vH2y -0.022 R1fR1s -0.022 R1gR2y -0.022 R1lR1q -0.022 R1qR2d -0.022 R1qR2q -0.022 R1vR2a -0.022 R2dR2k -0.022 R2dR2n -0.022 R2dR2t -0.022 R2fR2l -0.022 R2gR2y -0.022 R2kR2q -0.022 R2nR2q -0.022 R2qR2t -0.022 B1cB1s -0.023 B1cB2e -0.023 B1cC1p -0.023 B1cH1e -0.023 B1dC1y -0.023 B1dC2s -0.023 B1dH1f -0.023 B1dH2y -0.023 B1eB2n -0.023 B1eB2y -0.023 B1eC2d -0.023 B1eH1c -0.023 B1eH1i -0.023 B1eH1k -0.023 B1eH2d -0.023 B1fB1t -0.023 B1fC1t -0.023 B1fC2p -0.023 B1fD2d -0.023 B1fH1d -0.023 B1fR1s -0.023 B1hB2a -0.023 B1hC2a -0.023 B1hH2a -0.023 B1iB1t -0.023 B1iB1v -0.023 B1iH1e -0.023 B1iR1e -0.023 B1lR1v -0.023 B1nD2t -0.023 B1nR2l -0.023 B1pR1a -0.023 B1qR1v -0.023 B1rC1m -0.023 B1sC1c -0.023 B1sD1c -0.023 B1tD1m -0.023 B1vR1l -0.023 B1vR2n -0.023 B1wD1a -0.023 B1yD1r -0.023 B2aD1q -0.023 B2aD1y -0.023 B2aD2q -0.023 B2cH1p -0.023 B2dC2f -0.023 B2dR1l -0.023 B2dR2n -0.023 B2dR2t -0.023 B2eC1c -0.023 B2eC2y -0.023 B2fC1l -0.023 B2fC1p -0.023 B2gD1s -0.023 B2hD1e -0.023 B2iC1n -0.023 B2iC1p -0.023 B2iR1d -0.023 B2kH2l -0.023 B2lC1c -0.023 B2lC2y -0.023 B2lD1c -0.023 B2lD2k -0.023 B2lH1n -0.023 B2lH2h -0.023 B2lH2y -0.023 B2mR2x -0.023 B2nC2f -0.023 B2nD2r -0.023 B2nR1l -0.023 B2nR2n -0.023 B2nR2t -0.023 B2pD1v -0.023 B2qC1n -0.023 B2rB2y -0.023 B2rC1m -0.023 B2rC2n -0.023 B2rD1r -0.023 B2rH1c -0.023 B2rH2n -0.023 B2rH2t -0.023 B2sD2m -0.023 B2sR1t -0.023 B2tC1f -0.023

Page 100: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

100(112)

B2tD2f -0.023 B2tR1q -0.023 B2tR2q -0.023 B2yC1e -0.023 B2yD2p -0.023 C1cC1s -0.023 C1cD1s -0.023 C1cR1e -0.023 C1dC1y -0.023 C1dH2y -0.023 C1eH1i -0.023 C1eR2v -0.023 C1fC1v -0.023 C1fH1d -0.023 C1fH2t -0.023 C1fR1s -0.023 C1fR2v -0.023 C1hD1g -0.023 C1hH1p -0.023 C1iC1v -0.023 C1kC2l -0.023 C1kD1c -0.023 C1kR1t -0.023 C1lR2i -0.023 C1mC1r -0.023 C1mH1p -0.023 C1nC2i -0.023 C1nC2q -0.023 C1nR1d -0.023 C1nR1k -0.023 C1nR2l -0.023 C1pD2t -0.023 C1qC2f -0.023 C1qD2f -0.023 C1sD1c -0.023 C1vD1m -0.023 C1vH1p -0.023 C1vH1t -0.023 C1vR2n -0.023 C1vR2t -0.023 C1wD1a -0.023 C1yR1a -0.023 C1yR1p -0.023 C2aD1y -0.023 C2aR1y -0.023 C2cH1p -0.023 C2dC2f -0.023 C2dH1t -0.023 C2dH2f -0.023 C2dR2d -0.023 C2eD2d -0.023 C2eD2y -0.023 C2eR1n -0.023 C2fD1t -0.023 C2fH2d -0.023 C2hD1e -0.023 C2kR1v -0.023 C2lH1n -0.023 C2lH2y -0.023 C2lR1r -0.023 C2nH1t -0.023 C2nH2f -0.023 C2nR2n -0.023 C2pH1i -0.023 C2rH1c -0.023 C2sD2l -0.023 C2tH1p -0.023 C2vH1g -0.023 C2vH2l -0.023 C2vR1t -0.023 C2yH1p -0.023 C2yH2l -0.023 D1aD1w -0.023 D1cD1k -0.023 D1cD2e -0.023 D1cR1e -0.023 D1dH1f -0.023 D1dH1n -0.023 D1dR2f -0.023 D1eH1i -0.023 D1fD1l -0.023 D1fD1v -0.023 D1fH1s -0.023 D1fR1d -0.023 D1fR1k -0.023 D1fR2l -0.023 D1hR1a -0.023 D1iD2p -0.023 D1iR2v -0.023 D1kR1t -0.023 D1lR1q -0.023 D1lR2d -0.023 D1lR2q -0.023 D1mR2l -0.023 D1nH1l -0.023 D1nH1q -0.023 D1nR2s -0.023 D1rD2d -0.023 D1rD2y -0.023 D1sD2m -0.023 D1sR1t -0.023 D1tD2f -0.023 D1vR1l -0.023 D1yH2a -0.023 D2aH1d -0.023 D2dH2e -0.023 D2dR2i -0.023 D2eD2m -0.023 D2eH1f -0.023 D2eH1n -0.023 D2eH2v -0.023 D2eR2p -0.023 D2fD2n -0.023 D2fH1r -0.023 D2fR1r -0.023 D2fR2e -0.023 D2iH2i -0.023 D2iH2q -0.023 D2iR1s -0.023 D2kR1t -0.023 D2lH1e -0.023 D2lH2s -0.023 D2nR2i -0.023 D2qR2k -0.023 D2qR2t -0.023 D2rH1c -0.023 D2rH1i -0.023 D2sD2y -0.023 D2sH1r -0.023 D2sR1f -0.023 D2tR1q -0.023 D2tR2d -0.023 D2tR2q -0.023 D2vR1l -0.023 D2vR2i -0.023 D2yH2e -0.023 H1cH1e -0.023 H1cH2r -0.023 H1dH1f -0.023 H1dH1n -0.023 H1eH1i -0.023 H1gH2m -0.023 H1iH2p -0.023 H1lH2p -0.023 H1pH2c -0.023 H1pH2y -0.023 H1rH2h -0.023 H1sR1t -0.023 H1tH2d -0.023 H1tH2n -0.023 H1tR1q -0.023 H1vR1l -0.023 H2aR1y -0.023 H2dH2f -0.023 H2dR2d -0.023 H2fH2t -0.023 H2hH2l -0.023 H2iR1d -0.023 H2kR1v -0.023 H2lR1f -0.023

H2nR2n -0.023 H2sR1v -0.023 H2tR2d -0.023 H2vR2p -0.023 R1dR1t -0.023 R1gR2q -0.023 R1kR1t -0.023 R1lR2s -0.023 R1sR2f -0.023 R2dR2q -0.023 R2fR2v -0.023 R2iR2s -0.023 R2mR2x -0.023 B1aC1h -0.024 B1aR1y -0.024 B1cB1d -0.024 B1cD1r -0.024 B1dD2m -0.024 B1eD2y -0.024 B1eR1s -0.024 B1fB1l -0.024 B1fB2v -0.024 B1fC2s -0.024 B1fD1t -0.024 B1fH2s -0.024 B1iB2v -0.024 B1iC1l -0.024 B1iC2k -0.024 B1iC2v -0.024 B1iH2k -0.024 B1iR2r -0.024 B1kR1t -0.024 B1lB2f -0.024 B1lR1l -0.024 B1mC1g -0.024 B1nB1v -0.024 B1nC1v -0.024 B1nC2a -0.024 B1nC2n -0.024 B1nH1d -0.024 B1nH2n -0.024 B1nR1s -0.024 B1nR2v -0.024 B1qD2f -0.024 B1rB1y -0.024 B1rC2y -0.024 B1rR1n -0.024 B1sR2i -0.024 B1tH1v -0.024 B1tR2s -0.024 B1vD2p -0.024 B1vH1t -0.024 B1vR2d -0.024 B1yC1r -0.024 B2aH1e -0.024 B2dB2f -0.024 B2dH1t -0.024 B2dR2d -0.024 B2dR2q -0.024 B2eH2y -0.024 B2fB2n -0.024 B2fB2t -0.024 B2fC2d -0.024 B2fD1t -0.024 B2fD2n -0.024 B2fH1d -0.024 B2fH2d -0.024 B2fR1s -0.024 B2hC2g -0.024 B2hH2g -0.024 B2iD1i -0.024 B2iH1s -0.024 B2iR1a -0.024 B2iR2l -0.024 B2kC1i -0.024 B2kC2f -0.024 B2kD2f -0.024 B2lC1s -0.024 B2lC2s -0.024 B2lD2m -0.024 B2mH1a -0.024 B2mR2a -0.024 B2nD1m -0.024 B2nR2d -0.024 B2sC1d -0.024 B2sC2a -0.024 B2tH1v -0.024 B2vC2f -0.024 C1aC1h -0.024 C1aR1y -0.024 C1cC1d -0.024 C1cC2e -0.024 C1cD1r -0.024 C1dD2m -0.024 C1dR1t -0.024 C1eC1m -0.024 C1eC1y -0.024 C1eC2y -0.024 C1eH2h -0.024 C1fC1l -0.024 C1fC1t -0.024 C1fD2d -0.024 C1gD2q -0.024 C1iC2k -0.024 C1iH2k -0.024 C1iR2r -0.024 C1kH2l -0.024 C1lD1m -0.024 C1lH1t -0.024 C1lR1l -0.024 C1lR2n -0.024 C1lR2t -0.024 C1mD1e -0.024 C1mH2p -0.024 C1nH1k -0.024 C1nR1s -0.024 C1qH2f -0.024 C1rC1y -0.024 C1rC2y -0.024 C1rD2d -0.024 C1rD2r -0.024 C1sR1v -0.024 C1tR1q -0.024 C2aD2c -0.024 C2aH1a -0.024 C2dD1m -0.024 C2eC2y -0.024 C2eD2p -0.024 C2eH2h -0.024 C2eH2y -0.024 C2eR1f -0.024 C2fC2k -0.024 C2fC2v -0.024 C2fH2k -0.024 C2iD2i -0.024 C2iR1d -0.024 C2iR1k -0.024 C2kR2i -0.024 C2nD1f -0.024 C2nD1m -0.024 C2nR1q -0.024 C2qD2i -0.024 C2sH2l -0.024 C2yD2s -0.024 C2yH2e -0.024 D1cD1d -0.024 D1cD1s -0.024 D1dD2m -0.024 D1eD2t -0.024 D1fD1q -0.024 D1fH1k -0.024 D1fH2n -0.024 D1fR1s -0.024 D1iD2q -0.024 D1iH1d -0.024 D1iH1p -0.024 D1iR1s -0.024 D1kR1v -0.024 D1lH1v -0.024 D1lH2i -0.024

D1lH2q -0.024 D1mH1p -0.024 D1mH2d -0.024 D1mH2n -0.024 D1mH2t -0.024 D1qH1t -0.024 D1qR1l -0.024 D1sH2v -0.024 D1sR1v -0.024 D1tH2f -0.024 D1tR2n -0.024 D1tR2t -0.024 D1vD2i -0.024 D1vR2n -0.024 D2aR1r -0.024 D2aR2m -0.024 D2dD2f -0.024 D2dR1l -0.024 D2dR2k -0.024 D2dR2n -0.024 D2eR1e -0.024 D2eR2f -0.024 D2fH1e -0.024 D2fR1e -0.024 D2iH1d -0.024 D2lD2m -0.024 D2lR2r -0.024 D2nR1l -0.024 D2nR2k -0.024 D2nR2t -0.024 D2pH1q -0.024 D2qR1q -0.024 D2qR2d -0.024 D2rD2y -0.024 D2sH1f -0.024 D2sH1n -0.024 D2sH2h -0.024 D2sR1r -0.024 D2tH1v -0.024 D2vH1t -0.024 D2vH2p -0.024 D2vR2n -0.024 D2vR2t -0.024 H1aR2i -0.024 H1kH2i -0.024 H1lR1l -0.024 H1nH2l -0.024 H1qR2i -0.024 H1rH2f -0.024 H1sR1v -0.024 H1tH1v -0.024 H1tR2s -0.024 H1vR2n -0.024 H1vR2t -0.024 H2eH2h -0.024 H2eR1n -0.024 H2fR1r -0.024 H2iH2q -0.024 H2iR1k -0.024 H2kR2i -0.024 H2lH2y -0.024 H2nR1q -0.024 R1dR1v -0.024 R1fR2e -0.024 R1kR1v -0.024 R1nR1r -0.024 R1nR2e -0.024 R1qR2s -0.024 R1sR1t -0.024 R1xR1y -0.024 R2aR2m -0.024 R2kR2s -0.024 R2nR2s -0.024 R2sR2t -0.024 B1cB1r -0.025 B1cB2r -0.025 B1cC1r -0.025 B1cD2r -0.025 B1dR1t -0.025 B1eB1y -0.025 B1eC1l -0.025 B1eC1y -0.025 B1eC2y -0.025 B1eH2y -0.025 B1eR1n -0.025 B1fB1q -0.025 B1fC1k -0.025 B1gC1c -0.025 B1iB1l -0.025 B1iB1q -0.025 B1iH2v -0.025 B1kC2f -0.025 B1kD2f -0.025 B1kH2f -0.025 B1kR1v -0.025 B1lD1m -0.025 B1lR2k -0.025 B1nB1t -0.025 B1nB2t -0.025 B1nC2d -0.025 B1nD2d -0.025 B1nH2d -0.025 B1pD2h -0.025 B1rC1c -0.025 B1rH1f -0.025 B1rH1n -0.025 B1rH2y -0.025 B1rR1f -0.025 B1sH1a -0.025 B1sR1l -0.025 B1sR2n -0.025 B1sR2t -0.025 B1tD1f -0.025 B1tH1q -0.025 B1vD2i -0.025 B1vR1q -0.025 B2aR2n -0.025 B2dD1f -0.025 B2eD2m -0.025 B2eH2a -0.025 B2eR2f -0.025 B2fC2k -0.025 B2fD2k -0.025 B2fH2k -0.025 B2gC1q -0.025 B2iD1l -0.025 B2iH1k -0.025 B2iH2i -0.025 B2iR1s -0.025 B2kH2f -0.025 B2kR2n -0.025 B2kR2t -0.025 B2lD1k -0.025 B2mR1p -0.025 B2mR2p -0.025 B2nD1f -0.025 B2qC1p -0.025 B2qD1l -0.025 B2qD2i -0.025 B2qH1v -0.025 B2rC1c -0.025 B2rC1e -0.025 B2rC2y -0.025 B2rD2n -0.025 B2rH2h -0.025 B2sC1i -0.025 B2sC2f -0.025 B2sC2l -0.025 B2tR2s -0.025 B2vC1f -0.025 B2vH2f -0.025 C1aD2c -0.025 C1cC1r -0.025 C1cH2e -0.025 C1dD2p -0.025 C1dH1e -0.025 C1dR1a -0.025 C1eH2y -0.025 C1eR1n -0.025 C1fC1q -0.025

C1fC2s -0.025 C1fC2t -0.025 C1fH2s -0.025 C1iC1l -0.025 C1iC1q -0.025 C1iC1t -0.025 C1kC2f -0.025 C1kD2f -0.025 C1kH2f -0.025 C1lR2d -0.025 C1lR2q -0.025 C1nC1v -0.025 C1nD1q -0.025 C1nH2t -0.025 C1nR2v -0.025 C1rH2y -0.025 C1sD2f -0.025 C1sH2a -0.025 C1tR2s -0.025 C1vD2a -0.025 C2dR2s -0.025 C2eH1f -0.025 C2fC2s -0.025 C2fC2t -0.025 C2fD2e -0.025 C2fH1r -0.025 C2fH2s -0.025 C2fR1r -0.025 C2iD1l -0.025 C2iH2q -0.025 C2kH2f -0.025 C2kR1l -0.025 C2kR2k -0.025 C2kR2t -0.025 C2lH2v -0.025 C2nH1v -0.025 C2pD2v -0.025 C2qD1l -0.025 C2qH2i -0.025 C2rC2y -0.025 C2rD2n -0.025 C2rH2h -0.025 C2sD2f -0.025 C2sH2f -0.025 C2sR2i -0.025 C2tD2f -0.025 C2tH2f -0.025 C2tR2k -0.025 C2vD2s -0.025 C2vH2f -0.025 C2yH2r -0.025 D1cD1r -0.025 D1cD2s -0.025 D1dD2e -0.025 D1dR1t -0.025 D1eH2t -0.025 D1fH1d -0.025 D1iD1n -0.025 D1kD2f -0.025 D1kR2i -0.025 D1lD1n -0.025 D1lD2v -0.025 D1lH1q -0.025 D1mD2d -0.025 D1nR1d -0.025 D1nR2a -0.025 D1qD2i -0.025 D1qR2d -0.025 D1qR2q -0.025 D1sD2l -0.025 D1tR2q -0.025 D1vH2i -0.025 D1vR1q -0.025 D2aH1a -0.025 D2cH2a -0.025 D2dR2q -0.025 D2eR1t -0.025 D2fD2k -0.025 D2fH2s -0.025 D2fR2r -0.025 D2iD2q -0.025 D2iD2v -0.025 D2kR1v -0.025 D2nH1t -0.025 D2nH2r -0.025 D2pH2e -0.025 D2sH2y -0.025 D2sR1t -0.025 D2sR2r -0.025 D2vR1q -0.025 D2vR2d -0.025 D2vR2q -0.025 H1eR1n -0.025 H1fH2e -0.025 H1gH2q -0.025 H1kR1v -0.025 H1lH1t -0.025 H1lR2n -0.025 H1pR2n -0.025 H1qH1t -0.025 H1qR2n -0.025 H1qR2t -0.025 H1rR1f -0.025 H1sR2i -0.025 H1vH2d -0.025 H1vH2n -0.025 H1vR1q -0.025 H1vR2d -0.025 H2dR2s -0.025 H2eH2y -0.025 H2eR1f -0.025 H2fH2k -0.025 H2fH2s -0.025 H2fR1e -0.025 H2hH2r -0.025 H2iR1s -0.025 H2kR1l -0.025 H2kR2k -0.025 H2kR2t -0.025 H2lR1r -0.025 H2sR2k -0.025 H2sR2n -0.025 H2sR2t -0.025 H2vR1t -0.025 R1aR1y -0.025 R1dR2i -0.025 R1eR1n -0.025 R1fR1r -0.025 R1lR2l -0.025 R1pR1y -0.025 R1tR2v -0.025 R1vR2l -0.025 R1xR2m -0.025 R2dR2s -0.025 R2iR2l -0.025 R2mR2p -0.025 R2qR2s -0.025 B1aB1h -0.026 B1aC2v -0.026 B1aD1m -0.026 B1aD1y -0.026 B1aD2c -0.026 B1aD2q -0.026 B1cB1e -0.026 B1cR1g -0.026 B1dC1s -0.026 B1dC2f -0.026 B1dR1v -0.026 B1eD2m -0.026 B1eR1f -0.026 B1fB1k -0.026 B1fB1s -0.026 B1fD1d -0.026 B1fH1r -0.026 B1fR1r -0.026 B1iB2l -0.026 B1kB2f -0.026 B1kC2e -0.026 B1kH2e -0.026 B1kR2i -0.026

B1lC1e -0.026 B1lR2d -0.026 B1lR2q -0.026 B1nD2k -0.026 B1pB2q -0.026 B1pR2k -0.026 B1qH1t -0.026 B1qR2n -0.026 B1rD2m -0.026 B1rR2f -0.026 B1sD1d -0.026 B1sH1t -0.026 B1sR2q -0.026 B1tD1e -0.026 B1tD2v -0.026 B1vH2q -0.026 B1vR2s -0.026 B1yD1e -0.026 B2aB2c -0.026 B2aB2m -0.026 B2aC2c -0.026 B2aH2c -0.026 B2aR1a -0.026 B2cC2a -0.026 B2cD2a -0.026 B2cH2a -0.026 B2dD1e -0.026 B2dR2s -0.026 B2eD1a -0.026 B2eR1t -0.026 B2eR2e -0.026 B2fB2k -0.026 B2fB2v -0.026 B2gD2m -0.026 B2hR2a -0.026 B2iD1v -0.026 B2iD2v -0.026 B2iR2v -0.026 B2kD1m -0.026 B2kD2a -0.026 B2pD2f -0.026 B2qD1p -0.026 B2qD1v -0.026 B2rD1c -0.026 B2rD2d -0.026 B2rH2y -0.026 B2sD2f -0.026 B2sH2f -0.026 B2sR1l -0.026 B2sR2i -0.026 B2tD1a -0.026 B2tD1e -0.026 B2vD1m -0.026 B2vD2s -0.026 B2vR2i -0.026 B2vR2x -0.026 C1aD1y -0.026 C1cC1e -0.026 C1cC2r -0.026 C1cH2r -0.026 C1dC2f -0.026 C1dD2l -0.026 C1dR1v -0.026 C1eD1c -0.026 C1eR1f -0.026 C1fC1k -0.026 C1fH1r -0.026 C1fR1r -0.026 C1hD1a -0.026 C1iC2l -0.026 C1kR2i -0.026 C1lD1p -0.026 C1lR1q -0.026 C1nD2d -0.026 C1nD2n -0.026 C1qR2d -0.026 C1rD2m -0.026 C1rH1n -0.026 C1rR2f -0.026 C1sD1d -0.026 C1sR1l -0.026 C1tH1l -0.026 C1vH2q -0.026 C1yD1e -0.026 C2aC2c -0.026 C2aH2c -0.026 C2cD2a -0.026 C2cH2a -0.026 C2dH1l -0.026 C2dH1v -0.026 C2fD1d -0.026 C2fH2v -0.026 C2fR1e -0.026 C2iC2q -0.026 C2iD1v -0.026 C2iR1s -0.026 C2kD1m -0.026 C2kD2s -0.026 C2kH1t -0.026 C2lR1v -0.026 C2nH1l -0.026 C2nH1q -0.026 C2pH1h -0.026 C2pR1h -0.026 C2qR2l -0.026 C2rD1c -0.026 C2rH1d -0.026 C2rH2y -0.026 C2sD1r -0.026 C2sR2t -0.026 C2vR2i -0.026 D1aR1y -0.026 D1cH2r -0.026 D1dD2f -0.026 D1dD2l -0.026 D1dR1v -0.026 D1eH1d -0.026 D1eR1n -0.026 D1eR2v -0.026 D1fD2d -0.026 D1gD2c -0.026 D1iD1l -0.026 D1iR2e -0.026 D1kH2f -0.026 D1kR1l -0.026 D1mD1t -0.026 D1mD2k -0.026 D1mH2k -0.026 D1nD1v -0.026 D1nD2t -0.026 D1nH1k -0.026 D1qD2p -0.026 D1qH2i -0.026 D1qR1q -0.026 D1rH2s -0.026 D1sR1l -0.026 D1sR2i -0.026 D2aD2c -0.026 D2aH2c -0.026 D2dR1p -0.026 D2dR1q -0.026 D2eD2f -0.026 D2eR1v -0.026 D2fD2l -0.026 D2iD2t -0.026 D2kR2x -0.026 D2mD2s -0.026 D2mR2r -0.026 D2pH1y -0.026 D2pR1v -0.026 D2qH2i -0.026 D2rR1n -0.026 D2rR2v -0.026 D2sH2k -0.026 H1cR1g -0.026 H1fH1r -0.026 H1fR1r -0.026 H1fR2e -0.026 H1hH2p -0.026 H1lH2d -0.026

H1lH2n -0.026 H1lR1a -0.026 H1lR1q -0.026 H1lR2d -0.026 H1lR2q -0.026 H1nH1r -0.026 H1nR1r -0.026 H1nR2e -0.026 H1qH2d -0.026 H1qH2n -0.026 H1qH2t -0.026 H1sR2a -0.026 H1sR2k -0.026 H1sR2n -0.026 H1tH2k -0.026 H1tH2s -0.026 H2aH2c -0.026 H2aR2n -0.026 H2fH2v -0.026 H2fR2r -0.026 H2lR2r -0.026 H2mR1g -0.026 H2mR2a -0.026 H2pR1h -0.026 H2qR2l -0.026 H2rH2y -0.026 R1dR1l -0.026 R1dR2k -0.026 R1eR1f -0.026 R1fR2r -0.026 R1kR1l -0.026 R1kR2a -0.026 R1kR2k -0.026 R1kR2n -0.026 R1kR2t -0.026 R1nR2r -0.026 R1pR2m -0.026 R1sR1v -0.026 R2eR2f -0.026 B1aB2c -0.027 B1aC2c -0.027 B1aH2c -0.027 B1dD2f -0.027 B1dH2f -0.027 B1dR1a -0.027 B1eH1f -0.027 B1eH1n -0.027 B1fD1r -0.027 B1fH1e -0.027 B1fR1e -0.027 B1hD1g -0.027 B1iB1k -0.027 B1iB1s -0.027 B1iC1s -0.027 B1iC2e -0.027 B1iD1k -0.027 B1iH2e -0.027 B1kC1f -0.027 B1kR1l -0.027 B1lB1n -0.027 B1lC1n -0.027 B1lR1q -0.027 B1nB1q -0.027 B1nH1r -0.027 B1nR1r -0.027 B1nR2e -0.027 B1qR2p -0.027 B1rR1t -0.027 B1sD1m -0.027 B1sD2a -0.027 B1sR1q -0.027 B1tH1s -0.027 B1tR1k -0.027 B1vC2q -0.027 B1vH1l -0.027 B1vH1q -0.027 B1wH2p -0.027 B2cC1a -0.027 B2cD2g -0.027 B2dD1l -0.027 B2dD1n -0.027 B2eR1r -0.027 B2fB2s -0.027 B2fH1r -0.027 B2fR1r -0.027 B2fR2e -0.027 B2gC1m -0.027 B2hR2p -0.027 B2iB2q -0.027 B2kR2d -0.027 B2kR2q -0.027 B2lD2f -0.027 B2mC1a -0.027 B2mD2a -0.027 B2nD2i -0.027 B2pD1i -0.027 B2pR1h -0.027 B2qC1v -0.027 B2qR2l -0.027 B2qR2x -0.027 B2rR1f -0.027 B2sR2k -0.027 B2sR2n -0.027 B2tC2a -0.027 B2tD1n -0.027 B2vC1e -0.027 B2vD1f -0.027 B2vR1l -0.027 B2vR2n -0.027 B2vR2t -0.027 B2wD1p -0.027 B2yC1g -0.027 B2yC2g -0.027 B2yH2g -0.027 C1aC2c -0.027 C1aD1h -0.027 C1aH2c -0.027 C1dH2f -0.027 C1dR2i -0.027 C1eH1f -0.027 C1eH1n -0.027 C1fC1s -0.027 C1fD1s -0.027 C1fD2e -0.027 C1fH1e -0.027 C1fR1e -0.027 C1gD2c -0.027 C1iC1k -0.027 C1iC1s -0.027 C1iC2e -0.027 C1iD2s -0.027 C1iH1p -0.027 C1iH2e -0.027 C1kD1m -0.027 C1kD2s -0.027 C1kR1l -0.027 C1kR2n -0.027 C1lC1n -0.027 C1lH2i -0.027 C1nC1t -0.027 C1qR1q -0.027 C1rC2t -0.027 C1tH1q -0.027 C1vC2q -0.027 C1vD1n -0.027 C1wD2p -0.027 C2aD2e -0.027 C2aR2h -0.027 C2cD2g -0.027 C2dH1q -0.027 C2eR1t -0.027 C2fC2l -0.027 C2fD2s -0.027 C2fR2r -0.027 C2gD2c -0.027 C2iD1q -0.027 C2iD2q -0.027 C2kR1q -0.027 C2lH2f -0.027 C2qR1d -0.027

C2rD2m -0.027 C2sD1m -0.027 C2sD2p -0.027 C2sH1t -0.027 C2tR1a -0.027 C2vD2r -0.027 C2wD2p -0.027 C2wH2p -0.027 D1aH1e -0.027 D1aH1v -0.027 D1cD1e -0.027 D1dH2f -0.027 D1dR2i -0.027 D1eR1f -0.027 D1fD1t -0.027 D1fH1p -0.027 D1hD2a -0.027 D1iD1q -0.027 D1iD1v -0.027 D1iD2n -0.027 D1iH1r -0.027 D1iR1r -0.027 D1kD1m -0.027 D1kR2n -0.027 D1lD1q -0.027 D1lD1v -0.027 D1lH1s -0.027 D1lH2n -0.027 D1lR1d -0.027 D1nD1q -0.027 D1rR2f -0.027 D1sR2k -0.027 D1tR1q -0.027 D1vD2q -0.027 D1vR2s -0.027 D1wD2p -0.027 D2cH2g -0.027 D2dH1v -0.027 D2dR2s -0.027 D2gH1i -0.027 D2gH2c -0.027 D2iR1e -0.027 D2iR2r -0.027 D2kR2n -0.027 D2lR2i -0.027 D2mD2r -0.027 D2mH2r -0.027 D2nR2s -0.027 D2pD2w -0.027 D2pH2w -0.027 D2pR1a -0.027 D2qD2v -0.027 D2rR1f -0.027 D2sH1e -0.027 D2sH2f -0.027 D2sR2i -0.027 D2tH1s -0.027 D2tH2q -0.027 D2vH1l -0.027 D2vH1q -0.027 H1dH2r -0.027 H1eH1f -0.027 H1eH1n -0.027 H1lH1v -0.027 H1qR1a -0.027 H1sH1t -0.027 H1tR1k -0.027 H1vR2s -0.027 H2eR1t -0.027 H2iH2n -0.027 H2kR1q -0.027 H2lR1v -0.027 H2mR1x -0.027 H2mR2p -0.027 H2pH2w -0.027 H2qR1d -0.027 H2qR1k -0.027 R1dR2d -0.027 R1qR2l -0.027 R1rR2f -0.027 R1vR2v -0.027 R2iR2v -0.027 R2kR2l -0.027 R2lR2n -0.027 R2lR2t -0.027 B1dB1f -0.028 B1dB1i -0.028 B1dB2f -0.028 B1dH2l -0.028 B1dR1l -0.028 B1eB2k -0.028 B1eB2v -0.028 B1fR2r -0.028 B1gD1y -0.028 B1hC1g -0.028 B1hD1a -0.028 B1hH1p -0.028 B1kH1t -0.028 B1lH1v -0.028 B1pB2n -0.028 B1pB2t -0.028 B1pH1h -0.028 B1pH1y -0.028 B1qD2i -0.028 B1sH2p -0.028 B1vC1a -0.028 B1vD2q -0.028 B1wB2p -0.028 B1wC2p -0.028 B1yH1p -0.028 B2aR2d -0.028 B2aR2h -0.028 B2dH2i -0.028 B2dH2q -0.028 B2eC1f -0.028 B2eC2f -0.028 B2eD2f -0.028 B2eH2f -0.028 B2eR1v -0.028 B2fB2l -0.028 B2fC1d -0.028 B2fD1d -0.028 B2iC1l -0.028 B2kC1n -0.028 B2lR2i -0.028 B2nH2i -0.028 B2nH2q -0.028 B2pB2w -0.028 B2pC2w -0.028 B2pD1s -0.028 B2pD2w -0.028 B2pH2w -0.028 B2qH1s -0.028 B2qR1k -0.028 B2rH1n -0.028 B2rR2f -0.028 B2sR2q -0.028 B2tH1k -0.028 B2tH2q -0.028 B2tR2l -0.028 B2vD2r -0.028 B2vH1t -0.028 B2vR2q -0.028 C1aD1r -0.028 C1aR1l -0.028 C1dC1f -0.028 C1eD1t -0.028 C1fD1r -0.028 C1fR2r -0.028 C1gD1y -0.028 C1iD2r -0.028 C1kH1t -0.028 C1lC2i -0.028 C1lH1q -0.028 C1nC1q -0.028 C1nC2t -0.028 C1nH1r -0.028 C1nR1r -0.028 C1pH1c -0.028 C1pH1h -0.028

C1pH1y -0.028 C1pR1h -0.028 C1qH1l -0.028 C1qH1v -0.028 C1rR1t -0.028 C1rR2e -0.028 C1vD1l -0.028 C1wD1p -0.028 C2aC2m -0.028 C2aR2d -0.028 C2dH2i -0.028 C2dH2q -0.028 C2eC2f -0.028 C2eD2f -0.028 C2eR1v -0.028 C2fD2r -0.028 C2fH2e -0.028 C2hR2x -0.028 C2iC2n -0.028 C2iH2n -0.028 C2iH2t -0.028 C2kD2r -0.028 C2lR2k -0.028 C2nD1l -0.028 C2nD1v -0.028 C2nH1s -0.028 C2nH2i -0.028 C2nH2q -0.028 C2nR1d -0.028 C2pC2w -0.028 C2pH2w -0.028 C2qD2t -0.028 C2qR1k -0.028 C2rH1f -0.028 C2rR2f -0.028 C2sH1a -0.028 C2sR1q -0.028 C2vH1t -0.028 C2vR2d -0.028 C2yD2p -0.028 D1aD1y -0.028 D1dD1m -0.028 D1eH1f -0.028 D1fH1r -0.028 D1fR1r -0.028 D1iH1e -0.028 D1iR2r -0.028 D1lD2n -0.028 D1lH1k -0.028 D1mD1s -0.028 D1mH1e -0.028 D1nD2n -0.028 D1pD1w -0.028 D1pD2i -0.028 D1pD2n -0.028 D1pD2w -0.028 D1qD1v -0.028 D1qR2s -0.028 D1rD2f -0.028 D1sH1t -0.028 D1sR2q -0.028 D1tD2i -0.028 D1tH1v -0.028 D1vH1q -0.028 D1vH2n -0.028 D2dD2i -0.028 D2dH1l -0.028 D2eR1l -0.028 D2eR2i -0.028 D2fH2e -0.028 D2iD2n -0.028 D2iH1e -0.028 D2lR1l -0.028 D2lR2t -0.028 D2nH1l -0.028 D2qH2p -0.028 D2rH1f -0.028 D2rH1n -0.028 D2rH2f -0.028 D2rH2k -0.028 D2tD2v -0.028 D2tH1k -0.028 D2tR1k -0.028 H1eR2f -0.028 H1fH2r -0.028 H1gH2v -0.028 H1hH1p -0.028 H1kH1t -0.028 H1kR2k -0.028 H1kR2n -0.028 H1lH1q -0.028 H1nR1g -0.028 H1pH1y -0.028 H1qH1v -0.028 H1rH2i -0.028 H1sH2d -0.028 H1sH2n -0.028 H1sR1q -0.028 H1sR2q -0.028 H2aH2m -0.028 H2aR2h -0.028 H2dH2i -0.028 H2dH2q -0.028 H2dR1k -0.028 H2fH2l -0.028 H2iH2t -0.028 H2iR2e -0.028 H2mR1a -0.028 H2nH2q -0.028 H2nR1d -0.028 H2qH2t -0.028 H2vR2i -0.028 R1dR1q -0.028 R1kR2d -0.028 R1lR1s -0.028 R1pR2i -0.028 R1rR1t -0.028 R1sR2k -0.028 R1sR2n -0.028 R1tR2e -0.028 R2aR2h -0.028 R2dR2l -0.028 R2fR2r -0.028 R2hR2x -0.028 R2lR2q -0.028 B1aH2m -0.029 B1dR2k -0.029 B1eR1t -0.029 B1fB1r -0.029 B1fB2r -0.029 B1fC1r -0.029 B1fC2r -0.029 B1fH2r -0.029 B1iB2r -0.029 B1kB1n -0.029 B1kR2q -0.029 B1lH1q -0.029 B1nB1s -0.029 B1nB2l -0.029 B1nR2r -0.029 B1rR1r -0.029 B1rR1v -0.029 B1sD1f -0.029 B1sH1l -0.029 B1sH1v -0.029 B1sR1a -0.029 B1sR2s -0.029 B1tD2n -0.029 B1tR1s -0.029 B1tR2p -0.029 B1tR2v -0.029 B1vC2n -0.029 B1vH2n -0.029 B1vH2t -0.029 B1vR1d -0.029 B1vR1k -0.029 B2aC2d -0.029 B2aH2d -0.029 B2aR1i -0.029 B2dB2i -0.029

B2dC2q -0.029 B2dR2l -0.029 B2eB2f -0.029 B2eD2e -0.029 B2eD2l -0.029 B2fC2e -0.029 B2fD1a -0.029 B2fD2s -0.029 B2iB2n -0.029 B2iB2t -0.029 B2iR2e -0.029 B2kC2r -0.029 B2kH1l -0.029 B2kH1v -0.029 B2kH2r -0.029 B2kR1p -0.029 B2lR2n -0.029 B2nC2i -0.029 B2nC2q -0.029 B2nD2v -0.029 B2nR1k -0.029 B2pD2q -0.029 B2qC1l -0.029 B2rC1k -0.029 B2rC2v -0.029 B2tC2q -0.029 B2tR1s -0.029 B2vC2r -0.029 B2vD1i -0.029 B2vD2i -0.029 B2vH2r -0.029 B2vR2a -0.029 C1cR2g -0.029 C1dC1i -0.029 C1dH1t -0.029 C1eC2f -0.029 C1eD2f -0.029 C1eR1t -0.029 C1kC1n -0.029 C1kR1q -0.029 C1nD2e -0.029 C1nR1e -0.029 C1sD2i -0.029 C1sH1v -0.029 C1vD1q -0.029 C1vH1s -0.029 C1vR1k -0.029 C2aD1i -0.029 C2aD2h -0.029 C2aR1m -0.029 C2dC2i -0.029 C2dC2q -0.029 C2dH1s -0.029 C2dR1k -0.029 C2eD2e -0.029 C2eD2l -0.029 C2eH2f -0.029 C2fH2r -0.029 C2gD2v -0.029 C2iD1t -0.029 C2iH1r -0.029 C2iH2d -0.029 C2kD1i -0.029 C2kR2s -0.029 C2lR1l -0.029 C2mH2a -0.029 C2mR1x -0.029 C2mR2p -0.029 C2nC2q -0.029 C2nD2v -0.029 C2nR1k -0.029 C2nR2l -0.029 C2pH2h -0.029 C2qH2d -0.029 C2qH2n -0.029 C2qH2t -0.029 C2rD2k -0.029 C2tH1q -0.029 C2vD2i -0.029 C2vR1q -0.029 D1aR1s -0.029 D1cR2g -0.029 D1dR2k -0.029 D1dR2n -0.029 D1fD1k -0.029 D1fD2e -0.029 D1fH1e -0.029 D1fR1e -0.029 D1iH2k -0.029 D1kD2a -0.029 D1lR1s -0.029 D1mD1r -0.029 D1nR1a -0.029 D1qD2t -0.029 D1rD2e -0.029 D1sR1q -0.029 D1tH1l -0.029 D1tH1q -0.029 D1tH2i -0.029 D1vH2d -0.029 D2aR2h -0.029 D2eH2e -0.029 D2eR2k -0.029 D2eR2n -0.029 D2eR2t -0.029 D2fD2s -0.029 D2iD2k -0.029 D2kH2r -0.029 D2qD2t -0.029 D2sH2v -0.029 D2sR1l -0.029 D2sR2k -0.029 D2sR2t -0.029 D2tR1s -0.029 D2vH2g -0.029 D2vH2n -0.029 D2vH2t -0.029 H1aR2h -0.029 H1dH2q -0.029 H1dR2t -0.029 H1eR1t -0.029 H1gR2q -0.029 H1kR2d -0.029 H1kR2q -0.029 H1qR2s -0.029 H1tR1s -0.029 H1tR2v -0.029 H1vH2s -0.029 H2eH2f -0.029 H2eR1v -0.029 H2hR2x -0.029 H2iR1r -0.029 H2kR2s -0.029 H2lR1l -0.029 H2lR2k -0.029 H2nR1k -0.029 H2nR2l -0.029 H2qR1s -0.029 H2tR1s -0.029 R1dR2s -0.029 R1eR1t -0.029 R1gR2t -0.029 R1kR1q -0.029 R1mR2x -0.029 R1qR2a -0.029 R1qR2v -0.029 R2hR2p -0.029 R2kR2v -0.029 R2nR2v -0.029 R2tR2v -0.029 B1aC2m -0.030 B1aD2h -0.030 B1dB1n -0.030 B1dB2a -0.030 B1dH1t -0.030 B1dR2q -0.030 B1eB1f -0.030 B1iB1r -0.030 B1kH2i -0.030 B1kR1q -0.030

B1lB2q -0.030 B1mC2a -0.030 B1mH1a -0.030 B1mR2a -0.030 B1nD1d -0.030 B1pB2r -0.030 B1pB2w -0.030 B1rC1f -0.030 B1rD1m -0.030 B1rR2i -0.030 B1sB2r -0.030 B1sC2p -0.030 B1sH1q -0.030 B1tB1v -0.030 B1tD1q -0.030 B1tD2d -0.030 B1tH1p -0.030 B1vB2n -0.030 B1vB2t -0.030 B1vD2n -0.030 B1yC2a -0.030 B1yD2a -0.030 B2aB2h -0.030 B2aC1y -0.030 B2aC2h -0.030 B2aH2r -0.030 B2cD1g -0.030 B2cR1g -0.030 B2dB2q -0.030 B2dD2v -0.030 B2eC2l -0.030 B2eR2i -0.030 B2fC1r -0.030 B2fH2e -0.030 B2gR2v -0.030 B2hH1a -0.030 B2kH2i -0.030 B2lH1t -0.030 B2lR2q -0.030 B2nB2q -0.030 B2nH1k -0.030 B2nR2l -0.030 B2pH2h -0.030 B2qB2t -0.030 B2qD1t -0.030 B2rC1f -0.030 B2rC2t -0.030 B2rH2s -0.030 B2sD1i -0.030 B2tD2v -0.030 B2tR2v -0.030 B2vD1e -0.030 B2vD1l -0.030 B2vD1n -0.030 B2wC1p -0.030 C1aD2h -0.030 C1aH1m -0.030 C1aH1s -0.030 C1aR1i -0.030 C1aR1m -0.030 C1eC1f -0.030 C1fC1r -0.030 C1fC2r -0.030 C1fH2r -0.030 C1hD2p -0.030 C1iC1r -0.030 C1iD1a -0.030 C1lH1s -0.030 C1nC1s -0.030 C1nH1e -0.030 C1qD1e -0.030 C1rR1r -0.030 C1sH1q -0.030 C1sH2r -0.030 C1tC2n -0.030 C1tH1k -0.030 C1tH2n -0.030 C1vH1k -0.030 C1yC2a -0.030 C1yD2a -0.030 C2aC2h -0.030 C2aD2i -0.030 C2aH1r -0.030 C2cD1g -0.030 C2cR1g -0.030 C2dD2q -0.030 C2fC2r -0.030 C2hH1a -0.030 C2iR2e -0.030 C2kH1q -0.030 C2kH2i -0.030 C2lH1t -0.030 C2lR2d -0.030 C2mR1a -0.030 C2nH1k -0.030 C2pR1n -0.030 C2pR1q -0.030 C2qH1d -0.030 C2rD2f -0.030 C2rR1t -0.030 C2sD2i -0.030 C2sH1v -0.030 C2tH2i -0.030 C2vD1e -0.030 D1aD1h -0.030 D1aH1q -0.030 D1dD1f -0.030 D1dR2d -0.030 D1eR1t -0.030 D1fD1s -0.030 D1gH2c -0.030 D1iH2a -0.030 D1iR2g -0.030 D1kH1v -0.030 D1lH1d -0.030 D1vR1d -0.030 D1yD2p -0.030 D2aD2h -0.030 D2aR1d -0.030 D2eR2d -0.030 D2eR2q -0.030 D2fD2r -0.030 D2fH2r -0.030 D2hH2a -0.030 D2iH2s -0.030 D2iH2v -0.030 D2kH2q -0.030 D2lH2e -0.030 D2lR1q -0.030 D2lR2d -0.030 D2lR2q -0.030 D2nD2v -0.030 D2pH2y -0.030 D2qH1k -0.030 D2qH2d -0.030 D2sR1p -0.030 D2sR2q -0.030 D2tH1d -0.030 D2tR2v -0.030 D2vH1s -0.030 D2vR1d -0.030 H1aH1m -0.030 H1dH1t -0.030 H1eH2i -0.030 H1kH2n -0.030 H1kH2p -0.030 H1kR1q -0.030 H1lH2s -0.030 H1mR2a -0.030 H1pH2i -0.030 H1qH2k -0.030 H1sH1v -0.030 H1tH2l -0.030 H1tH2v -0.030 H1vR1d -0.030 H1vR1k -0.030 H1vR2l -0.030 H2aR1m -0.030 H2aR2q -0.030 H2cR1g -0.030

H2dR1s -0.030 H2fH2r -0.030 H2iH2k -0.030 H2pR1n -0.030 H2qR1x -0.030 H2rR1t -0.030 H2vR2d -0.030 R1iR2a -0.030 R1kR2s -0.030 R1lR2e -0.030 R1pR2h -0.030 R1rR1v -0.030 R1tR2r -0.030 R1vR2e -0.030 R1xR2h -0.030 R2dR2v -0.030 R2eR2i -0.030 R2lR2s -0.030 R2qR2v -0.030 B1aB1m -0.031 B1aH1m -0.031 B1aR1i -0.031 B1aR1m -0.031 B1cD1p -0.031 B1eB1i -0.031 B1eH2v -0.031 B1eR1v -0.031 B1kC2i -0.031 B1kH1v -0.031 B1lD2a -0.031 B1lH1s -0.031 B1mC1a -0.031 B1mH2a -0.031 B1mR1x -0.031 B1pB1w -0.031 B1pC1w -0.031 B1pD1w -0.031 B1pD2w -0.031 B1qD1v -0.031 B1qD2v -0.031 B1tB2v -0.031 B1tR1g -0.031 B1vH1k -0.031 B1yH2a -0.031 B2aB2y -0.031 B2aC2r -0.031 B2aD2r -0.031 B2cC1g -0.031 B2dC1t -0.031 B2dH1k -0.031 B2dR1s -0.031 B2dR2v -0.031 B2eH2l -0.031 B2fB2r -0.031 B2fC1g -0.031 B2hC1a -0.031 B2hR1x -0.031 B2iH1e -0.031 B2kC2i -0.031 B2kD1v -0.031 B2kH2q -0.031 B2nR1s -0.031 B2pD1n -0.031 B2pD1p -0.031 B2qR2p -0.031 B2rD1k -0.031 B2sD1n -0.031 B2sD1p -0.031 B2sD2a -0.031 B2sH1l -0.031 B2vH1l -0.031 B2yC2a -0.031 C1cH2p -0.031 C1dH1p -0.031 C1dR1q -0.031 C1eC1i -0.031 C1eR1v -0.031 C1hR2g -0.031 C1kR2s -0.031 C1lC1v -0.031 C1lC2n -0.031 C1lD1q -0.031 C1lH1k -0.031 C1lH2n -0.031 C1pC1w -0.031 C1pD1w -0.031 C1pD2w -0.031 C1qD1l -0.031 C1rD2e -0.031 C1tC1v -0.031 C1tR1s -0.031 C1vD2d -0.031 C1vR1s -0.031 C1yH2a -0.031 C2aD2d -0.031 C2aR1r -0.031 C2dD2t -0.031 C2dR1s -0.031 C2eH1e -0.031 C2gD2r -0.031 C2hH2a -0.031 C2hR1x -0.031 C2iC2k -0.031 C2iC2t -0.031 C2iC2v -0.031 C2iH1e -0.031 C2iH2k -0.031 C2kH2q -0.031 C2pH1k -0.031 C2qD2k -0.031 C2rR1v -0.031 C2sD1l -0.031 C2sH2i -0.031 C2sH2q -0.031 C2tD1e -0.031 C2tH1g -0.031 C2tH2q -0.031 C2vH1l -0.031 C2vH2q -0.031 C2yR2g -0.031 D1aH2m -0.031 D1cH2p -0.031 D1eD2f -0.031 D1eD2k -0.031 D1fD1r -0.031 D1fD2p -0.031 D1iD1t -0.031 D1kH1q -0.031 D1mD2r -0.031 D1nD1t -0.031 D1nH1r -0.031 D1qD2n -0.031 D1qH1k -0.031 D1qR1k -0.031 D1sH1a -0.031 D1sH1v -0.031 D1vH1k -0.031 D2aR1i -0.031 D2dD2q -0.031 D2dD2v -0.031 D2eD2i -0.031 D2kH1l -0.031 D2nD2q -0.031 D2nH1p -0.031 D2nH1s -0.031 D2nR1k -0.031 D2rH2g -0.031 D2rH2v -0.031 D2tH1a -0.031 D2vH1k -0.031 H1kH1v -0.031 H1kR2a -0.031 H1lH1s -0.031 H1mR2p -0.031 H1pH2h -0.031 H1pR2d -0.031 H1pR2q -0.031 H1qH1s -0.031 H1qR1d -0.031 H1rR2i -0.031

H2iH2s -0.031 H2kH2q -0.031 H2lR2d -0.031 H2nH2t -0.031 H2qH2s -0.031 H2vR1q -0.031 H2yR2g -0.031 R1aR2h -0.031 R1eR1v -0.031 R1eR2e -0.031 R1hR2g -0.031 R1iR1x -0.031 R1iR2p -0.031 R1mR1x -0.031 R1mR2p -0.031 R1qR1s -0.031 R1rR2i -0.031 B1aB2t -0.032 B1aD2e -0.032 B1aH1t -0.032 B1aR1k -0.032 B1aR2q -0.032 B1eD2e -0.032 B1eD2l -0.032 B1hH2p -0.032 B1kB2i -0.032 B1kD1n -0.032 B1kD2v -0.032 B1kH1l -0.032 B1lB1v -0.032 B1lD1q -0.032 B1lD2n -0.032 B1lR2l -0.032 B1mR1a -0.032 B1nB1r -0.032 B1nB2r -0.032 B1rC2l -0.032 B1rR2n -0.032 B1tH2s -0.032 B1tR2e -0.032 B1vC2t -0.032 B1vH1d -0.032 B2aC1q -0.032 B2aD2d -0.032 B2aH2l -0.032 B2hD2a -0.032 B2hR1a -0.032 B2iB2k -0.032 B2iB2v -0.032 B2kB2q -0.032 B2kC2q -0.032 B2kD2v -0.032 B2pR2i -0.032 B2qB2v -0.032 B2qC1k -0.032 B2qC2v -0.032 B2qD2g -0.032 B2rD1f -0.032 B2rD1m -0.032 B2rH2v -0.032 B2yC1a -0.032 B2yH2a -0.032 C1dC1n -0.032 C1gD1h -0.032 C1kR2p -0.032 C1nD2s -0.032 C1qC1v -0.032 C1qD2t -0.032 C1qR1k -0.032 C1rD1f -0.032 C1rD1s -0.032 C1rD2a -0.032 C1rR2k -0.032 C1rR2n -0.032 C1vC2t -0.032 C1vR2g -0.032 C2aH1c -0.032 C2aH1i -0.032 C2dC2n -0.032 C2dH2n -0.032 C2dH2t -0.032 C2eH1t -0.032 C2eR2t -0.032 C2hR1a -0.032 C2iC2s -0.032 C2iH2s -0.032 C2kC2q -0.032 C2kR1d -0.032 C2kR1k -0.032 C2mD1a -0.032 C2nH2d -0.032 C2nH2t -0.032 C2pD1c -0.032 C2qC2s -0.032 C2qC2t -0.032 C2qC2v -0.032 C2qH2k -0.032 C2qH2s -0.032 C2qR1x -0.032 C2sR1a -0.032 C2tD2v -0.032 D1eD1m -0.032 D1eH2s -0.032 D1eR1v -0.032 D1hH1p -0.032 D1kD1n -0.032 D1lD1t -0.032 D1nD2l -0.032 D1nR1e -0.032 D1nR1r -0.032 D1pH1a -0.032 D1sD2r -0.032 D1sH1q -0.032 D1sH2i -0.032 D1tD1v -0.032 D1tH2a -0.032 D1tR1k -0.032 D1vH2s -0.032 D2dH1k -0.032 D2eH2q -0.032 D2hH1p -0.032 D2iD2l -0.032 D2kD2v -0.032 D2lR2s -0.032 D2nD2t -0.032 D2sR1q -0.032 D2vH1d -0.032 D2vR1s -0.032 H1eH2e -0.032 H1kH1l -0.032 H1kH2a -0.032 H1lR2l -0.032 H1mR1p -0.032 H1rH2q -0.032 H1rR2n -0.032 H1rR2t -0.032 H1tH2e -0.032 H1tR2e -0.032 H2dH2n -0.032 H2dH2t -0.032 H2eR2t -0.032 H2iH2v -0.032 H2kR1d -0.032 H2kR1k -0.032 H2qH2v -0.032 H2rR1v -0.032 R1aR1i -0.032 R1aR1m -0.032 R1aR2t -0.032 R1iR1p -0.032 R1lR1r -0.032 R1mR1p -0.032 R1sR2s -0.032 R2eR2k -0.032 R2eR2n -0.032 R2eR2t -0.032 B1cR2x -0.033 B1dH1v -0.033 B1dR2s -0.033 B1eB1n -0.033

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Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale) - Colagen - Caracterizare Structură/Proprietăţi

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B1hB2p -0.033 B1hC2p -0.033 B1kD1l -0.033 B1kH1q -0.033 B1kR2p -0.033 B1lB1t -0.033 B1lH1k -0.033 B1qB1t -0.033 B1qB1v -0.033 B1qD2t -0.033 B1qR1k -0.033 B1rH1t -0.033 B1rH2l -0.033 B1sB2q -0.033 B1tD2e -0.033 B1tH1r -0.033 B1tR1r -0.033 B1vD1t -0.033 B1yD1g -0.033 B2aC1p -0.033 B2aD2y -0.033 B2aH1c -0.033 B2aH2i -0.033 B2dB2n -0.033 B2dB2t -0.033 B2eC2a -0.033 B2eR1q -0.033 B2eR2d -0.033 B2iB2s -0.033 B2kC1t -0.033 B2kD2q -0.033 B2kR2l -0.033 B2lH2i -0.033 B2lR2s -0.033 B2nB2t -0.033 B2qB2s -0.033 B2qC2s -0.033 B2qH2s -0.033 B2qR2e -0.033 B2sC2p -0.033 B2sD1e -0.033 B2sD2v -0.033 B2tH1r -0.033 B2vD2q -0.033 C1aC1m -0.033 C1aD2y -0.033 C1aR1a -0.033 C1dH1q -0.033 C1eR1l -0.033 C1eR1r -0.033 C1eR2x -0.033 C1lC1t -0.033 C1lH1d -0.033 C1lR2v -0.033 C1mR1x -0.033 C1nC1r -0.033 C1nD2r -0.033 C1pD2y -0.033 C1pH1s -0.033 C1rH1t -0.033 C1sR1k -0.033 C1tC2k -0.033 C1tH2k -0.033 C1yD1g -0.033 C2aC2y -0.033 C2aH2h -0.033 C2kR2l -0.033 C2lH2q -0.033 C2qD2e -0.033 C2qH2v -0.033 C2sR1d -0.033 D1aD2h -0.033 D1aR1i -0.033 D1dD1n -0.033 D1dR2s -0.033 D1gH2m -0.033 D1iD1k -0.033 D1iD2s -0.033 D1kD1l -0.033 D1nD1s -0.033 D1pR2m -0.033 D1qD1t -0.033 D1qD2k -0.033 D1qR2v -0.033 D1rH1t -0.033 D1rR2t -0.033 D1sH2q -0.033 D1vD2e -0.033 D1vH1d -0.033 D2dD2t -0.033 D2dH2a -0.033 D2dR1s -0.033 D2eH1l -0.033 D2eR2s -0.033 D2kD2q -0.033 D2lH1q -0.033 D2lH2r -0.033 D2nH1d -0.033 D2nR2v -0.033 D2pR1y -0.033 D2tH1r -0.033 D2vH2s -0.033 D2vR2v -0.033 H1cH2a -0.033 H1cR2x -0.033 H1dH1l -0.033 H1dH1v -0.033 H1dR2s -0.033 H1gR2v -0.033 H1iR2x -0.033 H1kH1q -0.033 H1lH2v -0.033 H1pH2v -0.033 H1rH1t -0.033 H1rH2a -0.033 H1tR1a -0.033 H2iH2l -0.033 H2kR2l -0.033 R1dR2l -0.033 R1eR1l -0.033 R1qR2e -0.033 R1rR2n -0.033 R1xR2q -0.033 R2iR2r -0.033 R2sR2v -0.033 B1aD2y -0.034 B1aH1c -0.034 B1cB2a -0.034 B1cH1a -0.034 B1cR2a -0.034 B1dB2i -0.034 B1eC1n -0.034 B1eH1r -0.034 B1eR1a -0.034 B1eR2n -0.034 B1eR2t -0.034 B1iH1a -0.034 B1iR1x -0.034 B1kR1x -0.034 B1mD1a -0.034 B1pC1y -0.034 B1pD2f -0.034 B1pR1k -0.034 B1qB2d -0.034 B1qB2t -0.034 B1qH1g -0.034 B1rD2i -0.034 B1rR2d -0.034 B1vD1a -0.034 B2aC2k -0.034 B2aH2h -0.034 B2aH2k -0.034 B2cD2p -0.034 B2eD1l -0.034 B2gC2y -0.034 B2gH2m -0.034 B2gH2q -0.034 B2iC1d -0.034 B2kC1l -0.034 B2lC2i -0.034

B2lD2r -0.034 B2lH1q -0.034 B2nC1q -0.034 B2nD2p -0.034 B2qH2v -0.034 B2rR1l -0.034 B2sD2q -0.034 B2sR1d -0.034 B2sR1k -0.034 B2tR2e -0.034 B2vC1l -0.034 B2vC2a -0.034 B2vD2t -0.034 C1aC1y -0.034 C1aH1c -0.034 C1aH1i -0.034 C1aR1q -0.034 C1cH1a -0.034 C1cR1x -0.034 C1cR2a -0.034 C1dD2v -0.034 C1eC1n -0.034 C1eR2t -0.034 C1iH1a -0.034 C1kC1v -0.034 C1lC1q -0.034 C1lC2k -0.034 C1lC2v -0.034 C1lD2k -0.034 C1lH2k -0.034 C1pD1l -0.034 C1pH1d -0.034 C1qC1t -0.034 C1qC2d -0.034 C1qH1d -0.034 C1qH1p -0.034 C1qR1s -0.034 C1rH1e -0.034 C1rR2d -0.034 C1sD1v -0.034 C1sR2l -0.034 C1tH2s -0.034 C1vR2a -0.034 C2aD1c -0.034 C2aH2y -0.034 C2aR1e -0.034 C2cD2p -0.034 C2eR1q -0.034 C2iC2l -0.034 C2kH1g -0.034 C2kH2n -0.034 C2lC2q -0.034 C2lH1q -0.034 C2nH1a -0.034 C2nR2a -0.034 C2pR1y -0.034 C2qD1s -0.034 C2qH1r -0.034 C2sD2q -0.034 C2tR1s -0.034 C2vH1s -0.034 C2vH2n -0.034 C2vR1d -0.034 C2yH2a -0.034 D1aD2k -0.034 D1aR1l -0.034 D1cR2a -0.034 D1dD1i -0.034 D1dD1l -0.034 D1dD2a -0.034 D1dD2p -0.034 D1eD1f -0.034 D1iD1s -0.034 D1kD1q -0.034 D1kD1v -0.034 D1lD1s -0.034 D1lR1r -0.034 D1pD2m -0.034 D1pH1l -0.034 D1rR2d -0.034 D1sR1k -0.034 D1tD2n -0.034 D1tR1s -0.034 D2aD2y -0.034 D2aH1c -0.034 D2aH1i -0.034 D2cD2p -0.034 D2dD2n -0.034 D2dR2x -0.034 D2eD2v -0.034 D2iD2s -0.034 D2kD2t -0.034 D2kH1s -0.034 D2kR1d -0.034 D2lD2v -0.034 D2pH1v -0.034 D2pH2c -0.034 D2pR1l -0.034 D2pR2k -0.034 D2pR2m -0.034 D2pR2t -0.034 D2qH1a -0.034 D2qH2s -0.034 D2rR1l -0.034 D2sH1l -0.034 H1aH1c -0.034 H1aH1i -0.034 H1aH2n -0.034 H1cR2a -0.034 H1dH1q -0.034 H1eR2k -0.034 H1eR2t -0.034 H1gH2k -0.034 H1iR1x -0.034 H1pH2f -0.034 H1rR2d -0.034 H1sR2l -0.034 H1tR1e -0.034 H1tR2r -0.034 H2aH2h -0.034 H2eR1q -0.034 H2hR1x -0.034 H2kH2n -0.034 H2lH2q -0.034 H2nR2a -0.034 H2pR1y -0.034 R1dR1k -0.034 R1kR2l -0.034 R2dR2e -0.034 R2eR2q -0.034 R2kR2r -0.034 R2nR2r -0.034 R2rR2t -0.034 B1aB1y -0.035 B1aC1y -0.035 B1aD2d -0.035 B1aR1q -0.035 B1cR2p -0.035 B1dD1v -0.035 B1eH1t -0.035 B1eR1p -0.035 B1gH1h -0.035 B1gH1y -0.035 B1kB1t -0.035 B1kB1v -0.035 B1kC1p -0.035 B1kR2l -0.035 B1lB2k -0.035 B1lB2v -0.035 B1pB2i -0.035 B1qC1l -0.035 B1qH1d -0.035 B1sB1v -0.035 B1sC1v -0.035 B1sH1d -0.035 B1vC1s -0.035 B1yH1g -0.035 B2aD1c -0.035 B2dB2k -0.035 B2dB2v -0.035

B2dC2k -0.035 B2dC2v -0.035 B2dH2k -0.035 B2dR2e -0.035 B2eC1e -0.035 B2eD2s -0.035 B2eH1v -0.035 B2iB2l -0.035 B2kB2n -0.035 B2kB2t -0.035 B2kC2d -0.035 B2kR2v -0.035 B2lB2q -0.035 B2lC1v -0.035 B2nB2v -0.035 B2nH1r -0.035 B2pD2c -0.035 B2pH2n -0.035 B2pR2m -0.035 B2qC2l -0.035 B2qR1a -0.035 B2rD1i -0.035 B2rR2k -0.035 B2rR2t -0.035 B2sC1l -0.035 B2sR2l -0.035 B2tB2v -0.035 B2tR1e -0.035 B2vC2d -0.035 B2vH2d -0.035 B2vH2t -0.035 B2vR2l -0.035 C1cR2p -0.035 C1eR2q -0.035 C1gH1h -0.035 C1gH1y -0.035 C1kC2n -0.035 C1kH2n -0.035 C1pD2a -0.035 C1pR1n -0.035 C1qD2d -0.035 C1rR1q -0.035 C1sC1v -0.035 C1tH1a -0.035 C1tH1r -0.035 C1tR1r -0.035 C1tR1x -0.035 C2dC2k -0.035 C2dC2t -0.035 C2dC2v -0.035 C2dD2k -0.035 C2dH1r -0.035 C2dH2k -0.035 C2eH1v -0.035 C2eH2i -0.035 C2eH2q -0.035 C2kC2n -0.035 C2kH2d -0.035 C2kH2t -0.035 C2lD2v -0.035 C2nC2s -0.035 C2nC2t -0.035 C2nC2v -0.035 C2nH2k -0.035 C2nR1r -0.035 C2pD2c -0.035 C2qH2l -0.035 C2sH2n -0.035 C2tH2d -0.035 C2tH2n -0.035 C2vH2t -0.035 C2yD2g -0.035 D1cH2a -0.035 D1dD1v -0.035 D1eD2e -0.035 D1eH1t -0.035 D1eR2k -0.035 D1eR2t -0.035 D1gH1h -0.035 D1gH1y -0.035 D1iD1r -0.035 D1kD2t -0.035 D1kH1k -0.035 D1lH1e -0.035 D1lR1p -0.035 D1nD1r -0.035 D1pD1y -0.035 D1pD2e -0.035 D1qD2l -0.035 D1rD2s -0.035 D1sD1v -0.035 D2cH2p -0.035 D2eD2q -0.035 D2fH1a -0.035 D2kH2d -0.035 D2kR1k -0.035 D2lD2q -0.035 D2qH1r -0.035 D2qR1r -0.035 D2qR2e -0.035 D2rH1r -0.035 D2rR2k -0.035 D2tH1e -0.035 D2tR1e -0.035 D2tR1p -0.035 D2vH2l -0.035 H1aH2h -0.035 H1cR2p -0.035 H1dR2a -0.035 H1eH1t -0.035 H1gH1h -0.035 H1gH1y -0.035 H1gR1m -0.035 H1kH1s -0.035 H1kR2l -0.035 H1qH2l -0.035 H1rH2d -0.035 H2aH2y -0.035 H2dH2k -0.035 H2eH2i -0.035 H2eH2q -0.035 H2kH2t -0.035 H2nH2s -0.035 H2nR1r -0.035 H2sH2t -0.035 R1aR2l -0.035 R1qR1r -0.035 R1rR2q -0.035 B1aB2l -0.036 B1cC1a -0.036 B1cD2a -0.036 B1cR1a -0.036 B1eR1e -0.036 B1iR1a -0.036 B1kB2d -0.036 B1lB1q -0.036 B1lC2s -0.036 B1lH2s -0.036 B1pB2s -0.036 B1pC1h -0.036 B1pD2a -0.036 B1sB1t -0.036 B1vR1r -0.036 B1vR1x -0.036 B2aC1a -0.036 B2aD1a -0.036 B2aD2v -0.036 B2dC1s -0.036 B2dD1k -0.036 B2eB2i -0.036 B2eD2v -0.036 B2gC1t -0.036 B2iD2s -0.036 B2kC1q -0.036 B2mH1p -0.036 B2pC1p -0.036 B2pC2k -0.036 B2pH2k -0.036 B2qH2l -0.036 B2rH1t -0.036

B2sC1p -0.036 B2sC2n -0.036 B2sH2n -0.036 B2sH2t -0.036 B2vD2d -0.036 B2vH2p -0.036 C1aC1c -0.036 C1aR2v -0.036 C1cD1g -0.036 C1cR1a -0.036 C1eD1n -0.036 C1eR1q -0.036 C1gD2k -0.036 C1hC1p -0.036 C1iR1a -0.036 C1kC1l -0.036 C1kC1t -0.036 C1lD2e -0.036 C1lH2v -0.036 C1pH2t -0.036 C1pR1y -0.036 C1vD2p -0.036 C2aD2m -0.036 C2aH1l -0.036 C2dC2s -0.036 C2dH2s -0.036 C2eC2i -0.036 C2eC2q -0.036 C2eD1v -0.036 C2gD1v -0.036 C2iH2e -0.036 C2nH2v -0.036 C2pR1l -0.036 C2sH2d -0.036 C2vH1k -0.036 D1dD1q -0.036 D1gD2r -0.036 D1lD1r -0.036 D1qD1s -0.036 D1tD2k -0.036 D1vH2g -0.036 D2eD2t -0.036 D2iD2r -0.036 D2kD2n -0.036 D2kH1k -0.036 D2lR2l -0.036 D2lR2p -0.036 D2mR2x -0.036 D2rH1t -0.036 D2tR2r -0.036 D2vH1r -0.036 H1cR1a -0.036 H1gR1h -0.036 H1gR2t -0.036 H1vR1g -0.036 H2dH2s -0.036 H2hR1a -0.036 H2nH2v -0.036 H2tH2v -0.036 H2tR2r -0.036 R1dR1s -0.036 R1eR1q -0.036 R1eR2d -0.036 R1kR1s -0.036 R2dR2r -0.036 R2eR2s -0.036 R2qR2r -0.036 B1aB1c -0.037 B1dB1v -0.037 B1dH1s -0.037 B1eB2p -0.037 B1eR1q -0.037 B1eR2r -0.037 B1lC1k -0.037 B1lD2e -0.037 B1lH2p -0.037 B1pR2m -0.037 B1qB2g -0.037 B1qB2k -0.037 B1rH1l -0.037 B1sC1l -0.037 B1tD1a -0.037 B1tD2r -0.037 B1vB2a -0.037 B2aC1s -0.037 B2cB2p -0.037 B2dB2s -0.037 B2dH2p -0.037 B2dH2v -0.037 B2eB2q -0.037 B2eC1a -0.037 B2eD2r -0.037 B2gH2y -0.037 B2gR1h -0.037 B2iC1e -0.037 B2iC1r -0.037 B2iD2r -0.037 B2kC1a -0.037 B2mB2p -0.037 B2mC2p -0.037 B2mD1p -0.037 B2mH2p -0.037 B2nB2s -0.037 B2pC2c -0.037 B2pC2n -0.037 B2pD1h -0.037 B2pH2c -0.037 B2pR2f -0.037 B2rH2i -0.037 B2sB2t -0.037 B2vC2p -0.037 B2vH1d -0.037 B2vH2a -0.037 C1aD2m -0.037 C1dC1v -0.037 C1dH1a -0.037 C1lC1s -0.037 C1lH1r -0.037 C1pR2m -0.037 C1rH1v -0.037 C1sC1t -0.037 C2aH1q -0.037 C2aR1f -0.037 C2cC2p -0.037 C2cH2p -0.037 C2dH2v -0.037 C2fH1p -0.037 C2gH1y -0.037 C2lH2n -0.037 C2lR1k -0.037 C2mD1g -0.037 C2pH2c -0.037 C2qH2e -0.037 C2rH2i -0.037 C2rH2q -0.037 C2rR1q -0.037 C2vH1d -0.037 C2vH2a -0.037 D1aD2y -0.037 D1aH1c -0.037 D1aH1t -0.037 D1eR1e -0.037 D1hD1p -0.037 D1kH1d -0.037 D1pH1t -0.037 D1qD1r -0.037 D1qH1r -0.037 D1rD1v -0.037 D1rD2v -0.037 D1vH1r -0.037 D2aR2v -0.037 D2dD2k -0.037 D2dH1r -0.037 D2eH1a -0.037 D2eH2t -0.037 D2fR2p -0.037 D2hR1g -0.037 D2kH1d -0.037 D2kR1a -0.037 D2kR1s -0.037

D2lD2t -0.037 D2lH2n -0.037 D2mH2a -0.037 D2pH1p -0.037 D2qH1e -0.037 D2rR1e -0.037 D2sD2v -0.037 D2sR1d -0.037 H1aH2f -0.037 H1aR1n -0.037 H1aR2s -0.037 H1dH1s -0.037 H1dR1k -0.037 H1hR1g -0.037 H1lH1r -0.037 H1rH1v -0.037 H1rR2s -0.037 H1sH2v -0.037 H1yH2g -0.037 H2cH2p -0.037 H2dH2v -0.037 H2iH2r -0.037 H2qH2r -0.037 H2vR1d -0.037 H2vR1k -0.037 R1gR1h -0.037 R2lR2v -0.037 B1aB2i -0.038 B1dB1t -0.038 B1gC2w -0.038 B1gD2r -0.038 B1gH2w -0.038 B1hB1p -0.038 B1hC1p -0.038 B1hR2g -0.038 B1kB1l -0.038 B1kB1q -0.038 B1kC1q -0.038 B1lB1s -0.038 B1lC2p -0.038 B1lH1r -0.038 B1pD1y -0.038 B1qC1k -0.038 B1rD2q -0.038 B1sD2k -0.038 B1vD1r -0.038 B1wB2g -0.038 B1wC2g -0.038 B1wD2g -0.038 B1wH2g -0.038 B1yB2g -0.038 B1yR2g -0.038 B2dC2p -0.038 B2dR2r -0.038 B2gB2w -0.038 B2gC1w -0.038 B2gD1w -0.038 B2gD2w -0.038 B2kB2v -0.038 B2nC1p -0.038 B2qC1e -0.038 B2qH2p -0.038 B2rC2e -0.038 B2rC2i -0.038 B2rH2e -0.038 B2rR1q -0.038 B2sD1a -0.038 B2tC2p -0.038 B2tD1s -0.038 B2vC2t -0.038 B2wC2g -0.038 B2wH2g -0.038 C1aD2p -0.038 C1dD1e -0.038 C1gC2w -0.038 C1gH2w -0.038 C1iC2a -0.038 C1kC1q -0.038 C1lD1d -0.038 C1lR1e -0.038 C1lR1r -0.038 C1pD1y -0.038 C1qC1s -0.038 C1qH1r -0.038 C1tD2s -0.038 C1vR2r -0.038 C1wC2g -0.038 C1wH2g -0.038 C2dC2l -0.038 C2fH1a -0.038 C2gC2w -0.038 C2gD1w -0.038 C2gD2w -0.038 C2gH2w -0.038 C2iC2r -0.038 C2iH2r -0.038 C2kC2t -0.038 C2kC2v -0.038 C2lC2n -0.038 C2lH1k -0.038 C2lH2d -0.038 C2lH2t -0.038 C2nD2l -0.038 C2nH2l -0.038 C2nR1a -0.038 C2qH2r -0.038 C2tC2v -0.038 C2tH2k -0.038 C2vH2k -0.038 C2wD2g -0.038 C2wH2g -0.038 C2yD1a -0.038 D1aD2i -0.038 D1aH1s -0.038 D1aH2t -0.038 D1cD2g -0.038 D1dH1k -0.038 D1eR1q -0.038 D1kD2d -0.038 D1pR1t -0.038 D1qR1r -0.038 D1rD2q -0.038 D1rD2r -0.038 D1rH1q -0.038 D1vD2a -0.038 D1wH2g -0.038 D2aD2m -0.038 D2eD2n -0.038 D2fR1p -0.038 D2gD2w -0.038 D2gH2w -0.038 D2gH2y -0.038 D2iR2x -0.038 D2lD2n -0.038 D2lH1d -0.038 D2mR2p -0.038 D2nR1e -0.038 D2pH2m -0.038 D2qD2s -0.038 D2qR1a -0.038 D2sR1k -0.038 D2vH1e -0.038 D2vR1e -0.038 D2vR1x -0.038 D2wH2g -0.038 H1dH1k -0.038 H1hR2g -0.038 H1kR1p -0.038 H1lR1r -0.038 H1qH1r -0.038 H1qR2e -0.038 H1yR2g -0.038 H2aR1f -0.038 H2fR1x -0.038 H2gH2w -0.038 H2lH2n -0.038 H2lH2t -0.038 H2lR1k -0.038 H2nR1a -0.038 H2rR1q -0.038

R1fR2p -0.038 R1nR1x -0.038 R1nR2p -0.038 B1aB2q -0.039 B1aD2k -0.039 B1aH1v -0.039 B1cD1a -0.039 B1eB2q -0.039 B1eD1q -0.039 B1eR2a -0.039 B1fB2a -0.039 B1fR2x -0.039 B1gB1w -0.039 B1pC1l -0.039 B1pD2s -0.039 B1qB1s -0.039 B1qD2e -0.039 B1qD2p -0.039 B1rB1t -0.039 B1rB1v -0.039 B1sB2v -0.039 B1sH1r -0.039 B1wD1g -0.039 B2aR2f -0.039 B2dB2l -0.039 B2eD1e -0.039 B2eD2t -0.039 B2iB2r -0.039 B2iD1e -0.039 B2kC1p -0.039 B2kC1s -0.039 B2kR2e -0.039 B2lB2n -0.039 B2lB2t -0.039 B2lD2n -0.039 B2lR2p -0.039 B2pC2t -0.039 B2pD1d -0.039 B2qB2r -0.039 B2qC2p -0.039 B2rC1v -0.039 B2rD2g -0.039 B2rR2r -0.039 B2vC2s -0.039 B2vH2s -0.039 C1cD1a -0.039 C1dC1l -0.039 C1dC1t -0.039 C1eH1l -0.039 C1fR2x -0.039 C1gC1w -0.039 C1gD1w -0.039 C1gD2r -0.039 C1lC2e -0.039 C1lH1e -0.039 C1lH2e -0.039 C1pD2q -0.039 C1qD2l -0.039 C1qR1r -0.039 C1rC1v -0.039 C1rD2q -0.039 C1tD1d -0.039 C1vD2r -0.039 C1vR1a -0.039 C1wD1g -0.039 C2aC2f -0.039 C2dH2l -0.039 C2eH1s -0.039 C2eH2n -0.039 C2eR1d -0.039 C2fR1x -0.039 C2kC2s -0.039 C2kH2s -0.039 C2lR2v -0.039 C2pH2m -0.039 C2qC2r -0.039 C2rR2s -0.039 C2sC2t -0.039 C2sC2v -0.039 C2sD2k -0.039 C2sH2k -0.039 C2tH1r -0.039 C2vH2s -0.039 D1aH2y -0.039 D1eD1i -0.039 D1eD1n -0.039 D1eR2r -0.039 D1gD1w -0.039 D1iR2x -0.039 D1nD2g -0.039 D1qR1x -0.039 D1rD2t -0.039 D1tH1r -0.039 D2aR1f -0.039 D2dD2e -0.039 D2dD2l -0.039 D2dR1e -0.039 D2kH2s -0.039 D2lR1a -0.039 D2lR2v -0.039 D2nR2r -0.039 D2pR2d -0.039 D2pR2q -0.039 D2rD2v -0.039 D2rR2r -0.039 D2vR2r -0.039 H1aH2p -0.039 H1eH1v -0.039 H1kH2l -0.039 H1qH2a -0.039 H2dH2l -0.039 H2fR1a -0.039 H2kH2s -0.039 H2mH2p -0.039 R1aR1n -0.039 R1aR2a -0.039 R1fR1x -0.039 R1xR2s -0.039 R2fR2x -0.039 R2rR2s -0.039 B1aH1l -0.040 B1dB1l -0.040 B1eB1v -0.040 B1eH1l -0.040 B1eH1q -0.040 B1eH2r -0.040 B1fB2p -0.040 B1fH1a -0.040 B1gD2v -0.040 B1iB2p -0.040 B1lH1e -0.040 B1mD2p -0.040 B1pB2k -0.040 B1rD2t -0.040 B1sR1e -0.040 B1sR1r -0.040 B1yD2p -0.040 B2aC2f -0.040 B2aD2f -0.040 B2dB2e -0.040 B2eB2n -0.040 B2eB2t -0.040 B2eD2a -0.040 B2kB2s -0.040 B2pD2n -0.040 B2qD1e -0.040 B2qD2a -0.040 B2rD2q -0.040 B2rR2s -0.040 B2sB2v -0.040 B2sC1k -0.040 B2sC2v -0.040 C1dC1q -0.040 C1eC1v -0.040 C1eH1q -0.040 C1fH1a -0.040 C1gD1c -0.040 C1kD2a -0.040 C1nR2g -0.040 C1pD2m -0.040

C1rD2t -0.040 C1sD1t -0.040 C1sH1r -0.040 C1tD2a -0.040 C2aD2t -0.040 C2aH2f -0.040 C2dC2e -0.040 C2eC2n -0.040 C2eH2t -0.040 C2eR1k -0.040 C2fH2a -0.040 C2kH2v -0.040 C2lH1d -0.040 C2mD2p -0.040 C2nH2e -0.040 C2sR2e -0.040 D1aD1c -0.040 D1eD1l -0.040 D1kD1t -0.040 D1mR2x -0.040 D1tR1r -0.040 D1tR2p -0.040 D2aH1f -0.040 D2aH1l -0.040 D2eR2v -0.040 D2hD2p -0.040 D2mR1p -0.040 D2nH1e -0.040 D2qD2r -0.040 D2rH1v -0.040 D2sD2t -0.040 D2vR2g -0.040 H1aH1f -0.040 H1aH1n -0.040 H1aH2l -0.040 H1eH1l -0.040 H1eH1q -0.040 H1nR2a -0.040 H1qH2p -0.040 H1rH2s -0.040 H1sH2e -0.040 H1sR2e -0.040 H1tH2p -0.040 H2eH2n -0.040 H2eH2t -0.040 H2eR1d -0.040 H2kH2v -0.040 H2rR2s -0.040 H2sR1r -0.040 R1dR2e -0.040 R1kR2e -0.040 R1nR1p -0.040 R2aR2f -0.040 B1aR1e -0.041 B1dB1q -0.041 B1dB2v -0.041 B1eB1t -0.041 B1eB2a -0.041 B1eC2r -0.041 B1fR1x -0.041 B1gC2h -0.041 B1gD2t -0.041 B1kB1s -0.041 B1pD1h -0.041 B1pD2k -0.041 B1pD2n -0.041 B1pH1n -0.041 B1pR2f -0.041 B1rB2d -0.041 B1rC1l -0.041 B1sD2e -0.041 B1sR2r -0.041 B1yH2g -0.041 B2aD1s -0.041 B2aD2t -0.041 B2aH2f -0.041 B2eD2n -0.041 B2fC2a -0.041 B2gC1y -0.041 B2gC2k -0.041 B2gH2k -0.041 B2gR1f -0.041 B2mC1p -0.041 B2sH2p -0.041 B2vC2l -0.041 C1fR1x -0.041 C1kC1s -0.041 C1kD2e -0.041 C1lC1r -0.041 C1nC2g -0.041 C1nH2g -0.041 C1rC1t -0.041 C1rH1s -0.041 C1yC2g -0.041 C1yH2g -0.041 C2aR1t -0.041 C2eH1k -0.041 C2fR1a -0.041 C2gD2t -0.041 C2kC2l -0.041 C2lC2v -0.041 C2lH2k -0.041 C2mC2p -0.041 C2mH2p -0.041 C2pD2h -0.041 C2pH1q -0.041 C2pH1t -0.041 C2sH1r -0.041 C2sR1r -0.041 C2vD1d -0.041 D1aR1n -0.041 D1dD1t -0.041 D1eD1q -0.041 D1eD1v -0.041 D1eH1q -0.041 D1mH1a -0.041 D1pD2f -0.041 D1pH1m -0.041 D1sD1t -0.041 D2eD2k -0.041 D2hH1g -0.041 D2hH2p -0.041 D2iH1a -0.041 D2kD2l -0.041 D2rD2t -0.041 D2rH1q -0.041 D2sH1d -0.041 D2tH2g -0.041 D2yH1g -0.041 H1dH2l -0.041 H1fR1x -0.041 H1fR2p -0.041 H1lR1x -0.041 H1rH1s -0.041 H1rR2l -0.041 H2aH2f -0.041 H2dH2e -0.041 H2eR1k -0.041 H2lR2v -0.041 H2nH2r -0.041 H2sH2v -0.041 R1aR1f -0.041 R1fR1p -0.041 R2eR2l -0.041 R2fR2p -0.041 B1aB2p -0.042 B1aC2f -0.042 B1aD2f -0.042 B1aH1q -0.042 B1eB2d -0.042 B1kC2l -0.042 B1kR2e -0.042 B1lB1r -0.042 B1lC1r -0.042 B1lH2r -0.042 B2aB2f -0.042 B2aC1d -0.042 B2fD1g -0.042 B2fH2a -0.042 B2kB2l -0.042

B2lB2v -0.042 B2nC2a -0.042 B2sH2v -0.042 B2sR2e -0.042 B2vD2g -0.042 B2vH2l -0.042 B2vR2e -0.042 C1eC1l -0.042 C1eC1t -0.042 C1hD2g -0.042 C1kD1s -0.042 C1lR1a -0.042 C2dH2r -0.042 C2eR1s -0.042 C2hH2p -0.042 C2kH2l -0.042 C2lC2s -0.042 C2lC2t -0.042 C2lH2s -0.042 C2nC2r -0.042 C2nH2r -0.042 C2pH1a -0.042 C2rH2n -0.042 C2rH2t -0.042 C2sD2e -0.042 D1kD2e -0.042 D1kR1r -0.042 D1mR1x -0.042 D2aD2f -0.042 D2aR2r -0.042 D2nD2s -0.042 D2tH2a -0.042 H1kH2e -0.042 H1kR2e -0.042 H1mH2p -0.042 H1pR2s -0.042 H2aR1t -0.042 H2dH2r -0.042 H2kH2l -0.042 H2rH2t -0.042 R1aR2s -0.042 R1dR1e -0.042 R1dR1r -0.042 R1kR1r -0.042 R1rR2l -0.042 R1xR2f -0.042 B1aB1f -0.043 B1aB1i -0.043 B1aH2f -0.043 B1dB1k -0.043 B1dB1s -0.043 B1fR1p -0.043 B1gB2f -0.043 B1iD1g -0.043 B1kD1s -0.043 B1kH1r -0.043 B1kH2l -0.043 B1kR1r -0.043 B1lB2a -0.043 B1lC2r -0.043 B1pH1a -0.043 B1qB1r -0.043 B1qH1a -0.043 B2aR2l -0.043 B2dB2r -0.043 B2dD2r -0.043 B2eB2k -0.043 B2eB2v -0.043 B2fD2a -0.043 B2fR2p -0.043 B2hB2p -0.043 B2hC2p -0.043 B2nB2r -0.043 B2pD2i -0.043 B2rB2t -0.043 B2sD1d -0.043 C1aC1f -0.043 C1aC1i -0.043 C1dC1k -0.043 C1eC1q -0.043 C1eD2d -0.043 C1eH1s -0.043 C1fR1a -0.043 C1fR1p -0.043 C1gR1e -0.043 C1kR1r -0.043 C1lR1p -0.043 C1lR2g -0.043 C1pR2h -0.043 C1qC1r -0.043 C1qR2p -0.043 C2aD1f -0.043 C2dC2r -0.043 C2eH1d -0.043 C2hC2p -0.043 C2pH1m -0.043 C2pR1i -0.043 C2rH2d -0.043 C2tH2l -0.043 C2vR1r -0.043 D1dD1k -0.043 D1dH2v -0.043 D1fH1a -0.043 D1kD1s -0.043 D1mD2p -0.043 D1rD1t -0.043 D1tR1x -0.043 D2dD2s -0.043 D2eH2a -0.043 D2iR1p -0.043 D2kR2g -0.043 D2nD2r -0.043 D2yR1g -0.043 H1eR1x -0.043 H1kH1r -0.043 H1kR1r -0.043 H1pR2h -0.043 H2eR1s -0.043 H2lH2s -0.043 H2pR1i -0.043 R1eR1k -0.043 R1tR2a -0.043 B1aB2f -0.044 B1aR1t -0.044 B1dD2e -0.044 B1eB1l -0.044 B1eB1q -0.044 B1eR1k -0.044 B1pH1v -0.044 B1qD2r -0.044 B1qR1x -0.044 B1rB2k -0.044 B1tD2p -0.044 B1tR2g -0.044 B2aD1f -0.044 B2kD1r -0.044 B2lB2s -0.044 B2lD2e -0.044 B2nH2a -0.044 B2rH2a -0.044 B2yH2p -0.044 C1cH1g -0.044 C1dC1s -0.044 C1dH1r -0.044 C1gH1c -0.044 C1pR1d -0.044 C1sR2a -0.044 C2eC2k -0.044 C2eC2s -0.044 C2eC2t -0.044 C2eC2v -0.044 C2eH2k -0.044 C2eH2s -0.044 C2kH2e -0.044 C2lR1p -0.044 C2tH2e -0.044 C2vH2e -0.044 C2vR1e -0.044 D1aH1f -0.044 D1fH2a -0.044

D1fR1x -0.044 D1hR2g -0.044 D1iR1a -0.044 D1kH1e -0.044 D1mR1p -0.044 D1nH2p -0.044 D1sH1e -0.044 D1tD2r -0.044 D2dD2r -0.044 D2eD2l -0.044 D2kH1e -0.044 D2kR1e -0.044 D2rR1d -0.044 H1dH2e -0.044 H1dR2e -0.044 H1eH1s -0.044 H1eR2l -0.044 H1pR2l -0.044 H2eH2k -0.044 H2lH2v -0.044 H2rR1g -0.044 R1aR2f -0.044 R1eR2l -0.044 R1tR1x -0.044 R2eR2v -0.044 R2lR2r -0.044 B1aD2l -0.045 B1aR1a -0.045 B1dD2p -0.045 B1dR1r -0.045 B1gC1h -0.045 B1hD2g -0.045 B1kB1r -0.045 B1lR1p -0.045 B1nD2p -0.045 B1tC1p -0.045 B2eB2s -0.045 B2eR1x -0.045 B2gC2t -0.045 B2gD1q -0.045 B2lR2e -0.045 B2pB2y -0.045 B2pC1l -0.045 B2pD2t -0.045 B2vC1r -0.045 B2vR2r -0.045 B2yC2p -0.045 C1eH1k -0.045 C1gC1h -0.045 C1kC1r -0.045 C1kH1e -0.045 C1rH1g -0.045 C1sD2p -0.045 C2gD1y -0.045 C2lH1r -0.045 C2pD1n -0.045 C2sH2e -0.045 D1aD2f -0.045 D1dD1s -0.045 D1fR1a -0.045 D1kD1r -0.045 D2eR2e -0.045 D2gH1r -0.045 D2kD2s -0.045 D2kR2r -0.045 D2pD2y -0.045 D2rR1k -0.045 H1dH1r -0.045 H1mH1p -0.045 H2aR2e -0.045 H2eH2s -0.045 H2iR1x -0.045 R1aR1t -0.045 R1dR2p -0.045 R1rR1s -0.045 R1rR2v -0.045 B1gC1m -0.046 B1gR2m -0.046 B1mB1p -0.046 B1rB1s -0.046 B2iR2p -0.046 B2kB2r -0.046 B2kD1a -0.046 B2kD1p -0.046 B2kH2p -0.046 B2mH1g -0.046 B2pD2p -0.046 B2rB2v -0.046 B2rC2k -0.046 B2rH2k -0.046 C1eC1k -0.046 C1eH1d -0.046 C1eR1p -0.046 C1pD2h -0.046 C1pH1m -0.046 C1rC1s -0.046 C1sR1x -0.046 C2dD2a -0.046 C2eH2v -0.046 C2iR1x -0.046 C2kC2r -0.046 C2kH2r -0.046 C2rC2v -0.046 C2rH1k -0.046 C2rH2k -0.046 C2tD2p -0.046 C2tH2r -0.046 C2vH2r -0.046 D1aH1l -0.046 D1dR1e -0.046 D1eH1k -0.046 D1fR1p -0.046 D1gR2m -0.046 D1lH1p -0.046 D1pH1i -0.046 D1qH1g -0.046 D2aH2d -0.046 D2aH2t -0.046 D2kD2r -0.046 D2lH2p -0.046 H1aR2e -0.046 H1aR2l -0.046 H1eH1k -0.046 H1eR1s -0.046 H1gH2r -0.046 H1gH2t -0.046 H1kH2r -0.046 H1rH2l -0.046 H1sR2p -0.046 H2eH2v -0.046 H2kH2r -0.046 H2pR1v -0.046 H2vR1r -0.046 R1eR1s -0.046 R1kR2p -0.046 R1pR1t -0.046 R1vR1x -0.046 R2iR2x -0.046 B1aB1n -0.047 B1dB2e -0.047 B1dH1e -0.047 B1eB1k -0.047 B1gB1h -0.047 B1kB2r -0.047 B1pR1t -0.047 B2lR2g -0.047 C1aR1k -0.047 C1dR2r -0.047 C1eC1s -0.047 C1gR2m -0.047 C1pH1t -0.047 C1yD1p -0.047 C2eC2l -0.047 C2fD2g -0.047 C2lR1e -0.047 C2pD2l -0.047 C2pR1v -0.047 C2rC2s -0.047 C2rC2t -0.047 C2rH2s -0.047

C2sH2r -0.047 C2tD1a -0.047 C2yD1p -0.047 C2yH2p -0.047 D1aD1m -0.047 D1aD2p -0.047 D1aR1t -0.047 D1dD1r -0.047 D1eR1s -0.047 D1gD1y -0.047 D1rD1s -0.047 D2eD2s -0.047 D2eH1e -0.047 D2gH2f -0.047 D2gR2f -0.047 D2pH2p -0.047 D2pH2s -0.047 D2pR1d -0.047 D2rH1p -0.047 D2rR1s -0.047 H1dH1e -0.047 H1lR2g -0.047 H2hH2p -0.047 H2iR1a -0.047 H2rH2s -0.047 R1vR2p -0.047 R2aR2i -0.047 R2rR2v -0.047 B1aH1s -0.048 B1dB1r -0.048 B1eB1s -0.048 B1gD2y -0.048 B2aH2e -0.048 B2aR2k -0.048 B2eB2l -0.048 B2gD2c -0.048 B2gD2y -0.048 B2iH2p -0.048 B2kC2p -0.048 B2lD2a -0.048 B2mR1g -0.048 B2pC2y -0.048 B2pD1f -0.048 B2pD2k -0.048 B2rB2s -0.048 B2rR2v -0.048 B2tD2g -0.048 C1aC1n -0.048 C1aD2d -0.048 C1dC1r -0.048 C1gD2y -0.048 C1rD2l -0.048 C2eH1r -0.048 C2eH2l -0.048 C2iR1a -0.048 C2lH2e -0.048 C2lR2x -0.048 C2pC2y -0.048 D1eD1t -0.048 D1gD2v -0.048 D1sR1x -0.048 D2aH2p -0.048 D2cD2g -0.048 D2eR2r -0.048 D2kH1a -0.048 D2lD2s -0.048 D2rH1d -0.048 H2lR1e -0.048 H2rH2v -0.048 R1aR1v -0.048 R1gR1y -0.048 R1lR2p -0.048 R2iR2p -0.048 R2kR2x -0.048 R2nR2x -0.048 R2tR2x -0.048 B2aD1l -0.049 B2aH2p -0.049 C1aD2i -0.049 C1dC1e -0.049 C1kH1p -0.049 C1mC1p -0.049 C1qD2p -0.049 C1tD2p -0.049 C2aH2i -0.049 C2aH2q -0.049 C2eR1r -0.049 C2gR2m -0.049 C2rD2e -0.049 C2rH2v -0.049 D1cD1p -0.049 D1fD2g -0.049 D1gD2t -0.049 D1nR1x -0.049 D1pH1r -0.049 D1pH2y -0.049 D1tR1g -0.049 D2eD2r -0.049 D2eH2r -0.049 D2gH1t -0.049 D2sH1p -0.049 D2sR2x -0.049 H1pH2e -0.049 H1rH2e -0.049 H2eH2l -0.049 H2eR1x -0.049 H2gR2m -0.049 H2pH2y -0.049 R1pR1v -0.049 R1rR2a -0.049 R1sR2a -0.049 R1xR2i -0.049 B1aD2i -0.050 B1dB1e -0.050 B1dB2r -0.050 B1gH2h -0.050 B1gR1l -0.050 B2aC1e -0.050 B2aD2s -0.050 B2pH2y -0.050 B2rR1p -0.050 B2sD2p -0.050 C1gD2v -0.050 C1rR1g -0.050 C1rR1x -0.050 C2aC2i -0.050 C2eR1e -0.050 C2lC2r -0.050 C2lH2r -0.050 C2lR2a -0.050 C2pD2a -0.050 C2pD2p -0.050 C2pH2y -0.050 C2rR1g -0.050 C2vD2a -0.050 D1aD1f -0.050 D1eD1k -0.050 D1eR1p -0.050 D1gD1h -0.050 D1gR1l -0.050 D1lR2x -0.050 D2aR1l -0.050 D2lD2r -0.050 D2mD2p -0.050 D2tR2x -0.050 H1aR1l -0.050 H1rR2e -0.050 H1tR2a -0.050 H2aH2i -0.050 H2eR1r -0.050 R1lR1x -0.050 R2aR2k -0.050 R2aR2n -0.050 R2aR2t -0.050 R2dR2x -0.050 R2gR2m -0.050 R2qR2x -0.050 B1aH1k -0.051 B1cD1g -0.051 B1cH1p -0.051

B1fC1g -0.051 B1pB1y -0.051 B1pH1c -0.051 B1pH1i -0.051 B1rH1p -0.051 B1tD1g -0.051 B1yC1p -0.051 B2cB2g -0.051 B2cC2g -0.051 B2cH2g -0.051 B2gB2m -0.051 B2gC2c -0.051 B2gH2c -0.051 B2lB2r -0.051 B2pC1a -0.051 B2pC1s -0.051 B2rC2l -0.051 B2rH2l -0.051 C1aH1k -0.051 C1aR1r -0.051 C1cD2g -0.051 C1pC1y -0.051 C1pD2n -0.051 C2aC2q -0.051 C2aH1e -0.051 C2aH2v -0.051 C2cC2g -0.051 C2cH2g -0.051 C2eR1p -0.051 C2gD1h -0.051 C2gH2c -0.051 C2iH1p -0.051 C2rH2l -0.051 D1cH1p -0.051 D1gR2k -0.051 D1hH2g -0.051 D1lH1a -0.051 D1pR1a -0.051 D1rH1r -0.051 D1rR1r -0.051 D1rR1x -0.051 D2aD2i -0.051 D2aR2t -0.051 D2fR1g -0.051 D2lH1g -0.051 D2mH2p -0.051 D2pH1l -0.051 D2qH1p -0.051 H1aH1t -0.051 H1cH1p -0.051 H1iH1p -0.051 H2aH2q -0.051 H2cH2g -0.051 H2eR1e -0.051 H2lH2r -0.051 H2lR2x -0.051 R1pR2l -0.051 R1rR2e -0.051 R2kR2p -0.051 R2nR2p -0.051 R2pR2t -0.051 B1eB1r -0.052 B1eB2e -0.052 B1gD1v -0.052 B1nR2g -0.052 B1rD2s -0.052 B2aB2i -0.052 B2aB2q -0.052 B2aC2p -0.052 B2gC1r -0.052 B2pD1e -0.052 B2rC2a -0.052 B2rR2x -0.052 B2tR2a -0.052 C1aH1t -0.052 C1eC1r -0.052 C1eH1r -0.052 C2gR1e -0.052 C2iH2a -0.052 C2kD2a -0.052 C2pD2m -0.052 C2rH1g -0.052 D1dD1e -0.052 D1eD1s -0.052 D1lR1x -0.052 D1pH1k -0.052 D2aH2k -0.052 D2qR2x -0.052 H1gR1n -0.052 H2gR1e -0.052 H2tR1x -0.052 R1aR1l -0.052 R1lR1p -0.052 R1pR2e -0.052 R1qR2p -0.052 R1xR2k -0.052 R1xR2n -0.052 R1xR2t -0.052 R2aR2d -0.052 R2aR2q -0.052 B1aR1r -0.053 B1cC1g -0.053 B1gH2m -0.053 B1pB2a -0.053 B2eB2r -0.053 C1dR1x -0.053 C1gH2i -0.053 C1gH2m -0.053 C2eC2r -0.053 C2eH2r -0.053 C2gH2m -0.053 C2qH2a -0.053 C2rH2e -0.053 D1aR1d -0.053 D2aR2q -0.053 D2eR2a -0.053 D2kR1p -0.053 H1eH1r -0.053 H1eH2a -0.053 H1eR2e -0.053 H2eH2r -0.053 H2gH2m -0.053 H2pR1l -0.053 R1eR1r -0.053 R2dR2p -0.053 R2eR2r -0.053 R2pR2q -0.053 B1cB1p -0.054 B2gH2t -0.054 C1cC1p -0.054 C1eD2g -0.054 C1eR1e -0.054 C1pH1r -0.054 C2aD2l -0.054 C2lH1a -0.054 C2mH1g -0.054 C2rR1r -0.054 D1dR1x -0.054 D1eD1r -0.054 D1eH1r -0.054 D1pH1p -0.054 D2gR1t -0.054 D2pR1f -0.054 D2rD2s -0.054 H1pR2i -0.054 H2dR1x -0.054 H2eR1p -0.054 H2lR2a -0.054 R1aR2n -0.054 R1rR2r -0.054 R1xR2d -0.054 B1gR2h -0.055 B1pD1c -0.055 B2aC1l -0.055 B2aD1e -0.055 B2aR2s -0.055 B2gH1l -0.055 B2rD1p -0.055 C1eR2r -0.055 C1gH2q -0.055

C1gR2h -0.055 C1iD1g -0.055 C1vD1g -0.055 C2aH2n -0.055 C2dR1x -0.055 C2dR2g -0.055 C2nR1x -0.055 C2pH1r -0.055 D1gR2h -0.055 D1lR1a -0.055 D2aD2v -0.055 D2aH2v -0.055 D2aR1q -0.055 D2nR2x -0.055 D2rR1r -0.055 D2tR1a -0.055 D2vH1p -0.055 D2vR2x -0.055 H2mR2g -0.055 H2nR1x -0.055 H2rR1r -0.055 H2tR1a -0.055 R1qR1x -0.055 R2sR2x -0.055 B1eR1x -0.056 B1gC1f -0.056 B1gC2m -0.056 B1gD1m -0.056 B1lC2g -0.056 B1lH2g -0.056 B2fC2g -0.056 B2fH2g -0.056 B2gC2m -0.056 B2gD2h -0.056 B2lR1x -0.056 C1aC1v -0.056 C1aD2l -0.056 C1gC2m -0.056 C1gR1f -0.056 C1lR2x -0.056 C2aC2n -0.056 C2aH2t -0.056 C2fH2p -0.056 C2gC2m -0.056 C2gR1l -0.056 C2mH2g -0.056 C2pR1a -0.056 D1aD1n -0.056 D1pD2l -0.056 D2aD2q -0.056 D2fD2p -0.056 D2lH2a -0.056 D2pH1f -0.056 H1eR2p -0.056 H1vR2a -0.056 H2gR1l -0.056 R2aR2s -0.056 B1aB1v -0.057 B1gB1m -0.057 B1mD1g -0.057 B1pD2m -0.057 B1pR1d -0.057 B1rR1g -0.057 B2dC2a -0.057 B2fD2p -0.057 B2nR2p -0.057 B2pC2f -0.057 B2pD1l -0.057 C1aH1v -0.057 C1gC2i -0.057 C1lH1a -0.057 C2aC2d -0.057 C2aD2p -0.057 C2aH2d -0.057 C2eH1p -0.057 C2eR2x -0.057 C2fC2p -0.057 C2mR1g -0.057 C2pD2f -0.057 D1aD1i -0.057 D1aD1l -0.057 D1pR1q -0.057 D2eH1g -0.057 D2fH2p -0.057 D2gD2h -0.057 D2pR1e -0.057 D2qR1p -0.057 H1aH1v -0.057 H2aH2n -0.057 R1aR1q -0.057 R1pR1q -0.057 B1aB1t -0.058 B1gC1i -0.058 B1lR2x -0.058 B1mC2g -0.058 B1mH2g -0.058 B1yC2g -0.058 B2aB2d -0.058 B2aB2n -0.058 B2aB2t -0.058 B2aR2e -0.058 B2gB2h -0.058 B2hH1g -0.058 C1gC2h -0.058 C2aD1t -0.058 C2dH2a -0.058 C2gC2h -0.058 C2gR2h -0.058 C2hD1g -0.058 C2hH2g -0.058 C2nH2a -0.058 C2pH2f -0.058 C2rD2a -0.058 D1eR1x -0.058 D1mD1p -0.058 D2aH2r -0.058 D2dR2p -0.058 H1aH1l -0.058 H1gH1m -0.058 H1gR1i -0.058 H1vR2p -0.058 H2aH2d -0.058 H2aH2t -0.058 H2fH2p -0.058 H2gR2h -0.058 R2pR2s -0.058 B1lH1a -0.059 B1pB2v -0.059 B1tC2g -0.059 B1tH2g -0.059 B2aC2e -0.059 B2dH2a -0.059 B2nD1p -0.059 B2pC1f -0.059 B2pH2f -0.059 B2tC1a -0.059 B2tH2p -0.059 C1aC1l -0.059 C1aC1t -0.059 C1aH1q -0.059 C1eR1a -0.059 C1gC2q -0.059 C1mD1g -0.059 C1pD2e -0.059 C2aH2e -0.059 C2hR2g -0.059 C2iH2p -0.059 C2lR1a -0.059 C2mR2g -0.059 C2pH2t -0.059 C2sH2p -0.059 D1aD1v -0.059 D1aH1r -0.059 D1qR2p -0.059 D2aD2t -0.059 D2aR2a -0.059 D2vR1a -0.059 H1aH1q -0.059 H2eR2x -0.059 R2gR2h -0.059

Page 102: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

102(112)

B1fH1p -0.060 B1lR1x -0.060 B1nC2g -0.060 B1nH2g -0.060 B1pD2l -0.060 B2fB2p -0.060 B2gD1t -0.060 B2pC2d -0.060 B2pD2s -0.060 B2pH2d -0.060 B2qH1g -0.060 B2yD1g -0.060 C1fH1p -0.060 C1qR1x -0.060 C2gR1f -0.060 C2tR1x -0.060 D1aD1q -0.060 D1gR1e -0.060 D1tD2p -0.060 D2kH1p -0.060 D2vR1p -0.060 H1fH1p -0.060 H1nH1p -0.060 H2gR1f -0.060 B1gB2y -0.061 B1sB2p -0.061 B1sR1x -0.061 B2gB2y -0.061 B2gH1m -0.061 B2gR1i -0.061 B2gR1m -0.061 B2hR1g -0.061 C1aC1q -0.061 C1gC1m -0.061 C1gD2t -0.061 C1mC2g -0.061 C1mH2g -0.061 C2aC2k -0.061 C2aC2v -0.061 C2aH2k -0.061 C2eR1x -0.061 C2kR1x -0.061 C2pR1t -0.061 D1sD2p -0.061 D2nR1a -0.061 D2nR1p -0.061 D2pR2l -0.061 H1mR1g -0.061 H1qR2p -0.061 H2kR1x -0.061 H2lR1a -0.061 H2lR1p -0.061 H2pR1a -0.061 H2pR1t -0.061 R1gR1i -0.061 R1gR1m -0.061 R1rR2x -0.061 R2lR2x -0.061 B1aB1l -0.062 B1lR2g -0.062 B1nH1p -0.062 B1pH1q -0.062 B1pH1t -0.062 B2aB2k -0.062 B2aB2v -0.062 B2fH1g -0.062 B2iC2p -0.062 B2kR2p -0.062 B2pD1a -0.062 B2pD2v -0.062 B2qR1g -0.062 C1aR2e -0.062 C1gD1f -0.062 C1iC2g -0.062 C1iH2g -0.062 C1pH1q -0.062 C2aC2t -0.062 D1fD1p -0.062 D1pR1v -0.062 D2aD2n -0.062 H1aH2s -0.062 H1pR2f -0.062 H1rR2a -0.062 H2sR1x -0.062 B1aB1q -0.063 B1fB1p -0.063 B1fD2g -0.063 B1gB1y -0.063 B1lR1a -0.063 B1mR2g -0.063 B1nD1g -0.063 B1rR1x -0.063 B1yC1g -0.063 B2gH1n -0.063 C1gC1y -0.063 C1gH2t -0.063 C2aC2s -0.063 C2fD1g -0.063

C2kH2a -0.063 C2lR2g -0.063 C2sR1x -0.063 C2vD2p -0.063 D1aD2e -0.063 D2aD2d -0.063 D2pR2s -0.063 D2rR1a -0.063 D2rR1p -0.063 H2aH2k -0.063 H2hR2g -0.063 R2aR2l -0.063 B1gH1c -0.064 B1iB1p -0.064 B1pH1r -0.064 B2gR2r -0.064 B2rH2p -0.064 C1aC1k -0.064 C1aH1r -0.064 C1fC1p -0.064 C2dD1g -0.064 C2gD1n -0.064 C2pH2v -0.064 D1gH1c -0.064 D1gH2d -0.064 D1nH2g -0.064 D1pD2p -0.064 D2gD2y -0.064 D2pH2a -0.064 D2rR2g -0.064 H1aH1s -0.064 H2aH2s -0.064 R1dR1x -0.064 B1cH1g -0.065 B1eD2g -0.065 B1gC2d -0.065 B1gH2d -0.065 B1pB2p -0.065 B1rB2g -0.065 B1rD2a -0.065 B2aB2s -0.065 B2gD2l -0.065 B2rC2p -0.065 B2rD1a -0.065 C1gH2h -0.065 C1iC1p -0.065 C1tC2g -0.065 C1tH2g -0.065 C2gC2y -0.065 C2gH2h -0.065 C2yH2g -0.065 D1cH1g -0.065 D1gH2f -0.065 D1gH2h -0.065 D1kR1x -0.065 D1vR2g -0.065 D2lR2x -0.065 H1cH1g -0.065 H1gH1i -0.065 H1rH2p -0.065 H2gH2h -0.065 R1kR1x -0.065 R2lR2p -0.065 B1aB1k -0.066 B1gH2f -0.066 B2fR1g -0.066 B2gH2r -0.066 B2vR2p -0.066 C1aC1s -0.066 C1kD2p -0.066 C1kR1x -0.066 C1pR1t -0.066 C1rD2p -0.066 C1tH1g -0.066 C2vR1x -0.066 D1lR2g -0.066 D1rH1g -0.066 D2aD2k -0.066 D2rR2x -0.066 H1gR1k -0.066 H2aH2v -0.066 H2dR2g -0.066 R1rR2p -0.066 R1xR2l -0.066 R2vR2x -0.066 B1aB1s -0.067 B1cB1g -0.067 B1pR1r -0.067 B2rC1a -0.067 B2vD1p -0.067 C1cC1g -0.067 C1eH1a -0.067 C1fC2g -0.067 C1fH2g -0.067 C1mR2g -0.067 C1pR1r -0.067 C2aC2l -0.067 D1cD1g -0.067

D1tH1g -0.067 D2eR2x -0.067 D2gR1r -0.067 D2iD2p -0.067 H1aH1k -0.067 H1kR2p -0.067 H1lH2g -0.067 H2pR1r -0.067 R1aR1d -0.067 R1dR1p -0.067 B1gC2i -0.068 B1gD1c -0.068 B1gD1l -0.068 B2aB2l -0.068 C1aD2e -0.068 C1eR1x -0.068 C1gD1l -0.068 C1gD1m -0.068 C2aH2l -0.068 C2gH1l -0.068 C2gH2y -0.068 C2pH1p -0.068 C2pR1r -0.068 C2tH2p -0.068 D1dH1a -0.068 D1kD2p -0.068 D2pH2i -0.068 H1eR2g -0.068 H2gH2y -0.068 R1aR1k -0.068 R1kR1p -0.068 R1sR2p -0.068 R2aR2v -0.068 B1eH1a -0.069 B1gR1e -0.069 B1nB1p -0.069 B2fR2g -0.069 B2pC2l -0.069 B2rR2a -0.069 B2vC1p -0.069 C1aC1d -0.069 C1lC2g -0.069 C1lH2g -0.069 C2gD1i -0.069 C2lH2a -0.069 D1aD1t -0.069 D1gH2n -0.069 D1iH2g -0.069 D1mR2g -0.069 D1nD1p -0.069 H1aH1d -0.069 R1sR1x -0.069 B1aB1d -0.070 B1vH1p -0.070 B2dD1p -0.070 B2gD1r -0.070 C2aC2e -0.070 C2rD2p -0.070 D1eH1a -0.070 D1iD1p -0.070 D1nR2g -0.070 D2aD2e -0.070 D2aD2l -0.070 D2aH1e -0.070 D2pH2r -0.070 H1dR2p -0.070 H2aH2l -0.070 H2iH2p -0.070 R2pR2v -0.070 B1gR2q -0.071 B1iR2g -0.071 B1lB2p -0.071 B1pD2p -0.071 B1rH1g -0.071 B1tH1g -0.071 B2aB2e -0.071 B2pH2l -0.071 B2tH1g -0.071 C1nC1p -0.071 C2gD1m -0.071 C2iD2p -0.071 C2lR1x -0.071 C2nD1g -0.071 C2pH2i -0.071 C2rR1x -0.071 C2rR2p -0.071 D1lD1p -0.071 D1mH2g -0.071 D2gD2m -0.071 D2lR1p -0.071 D2rH1a -0.071 H1pH2p -0.071 H2gR2t -0.071 H2lR2g -0.071 H2pH2q -0.071 H2rR1x -0.071 H2vR1x -0.071 R1xR2v -0.071

C1sH2g -0.072 C1vC2g -0.072 C1vH2g -0.072 C2eH2a -0.072 C2gR2t -0.072 C2pH2q -0.072 D1rD2p -0.072 D2gR2l -0.072 D2pD2v -0.072 D2pH1e -0.072 H2lR1x -0.072 H2rR2p -0.072 R1aR1s -0.072 R1pR1s -0.072 B1fD1g -0.073 B1gD1f -0.073 B2iR1g -0.073 C1aC1r -0.073 C2iC2p -0.073 C2qH2p -0.073 D1aD1k -0.073 D1gH1l -0.073 D1pD1v -0.073 D1pR1k -0.073 D2eR1p -0.073 H1tR1g -0.073 H2aH2e -0.073 B1aB1r -0.074 B1gH2i -0.074 B1gR1f -0.074 B2iB2p -0.074 C2aH2r -0.074 C2eH1a -0.074 C2pC2q -0.074 D1gR1f -0.074 D1lD2g -0.074 D1pD1q -0.074 D2eH2p -0.074 D2pD2q -0.074 R2eR2x -0.074 B1gD1n -0.075 B1gR2i -0.075 B1vR2g -0.075 B2gC2r -0.075 B2gR1n -0.075 B2pB2q -0.075 B2pR2a -0.075 C1aC1e -0.075 C1gC2d -0.075 C1gH2d -0.075 C2aC2r -0.075 D1aD1d -0.075 D1aD1s -0.075 D1aH1p -0.075 D1rD2a -0.075 H1gR1f -0.075 R1eR2g -0.075 R1gR1n -0.075 R1gR2r -0.075 B1fC2g -0.076 B1fH2g -0.076 B1gD1i -0.076 B1gH1f -0.076 B1pH1k -0.076 B1vC1g -0.076 B2aB2r -0.076 B2eC1g -0.076 B2eR2p -0.076 B2gH1t -0.076 C1fD1g -0.076 C1pD2i -0.076 C1pH1k -0.076 D1aH1d -0.076 D1eR1a -0.076 D1gH1e -0.076 D1gH1f -0.076 H1aH2e -0.076 H2aH2r -0.076 R2aR2e -0.076 B1aB1e -0.077 B1kD2p -0.077 C1gD1i -0.077 C1gH1f -0.077 C2gH1e -0.077 C2rH2a -0.077 D1dR2g -0.077 D1sR2g -0.077 D2aD2s -0.077 H1eH2g -0.077 H1fH1g -0.077 H1gH1n -0.077 H2fR2g -0.077 H2gR2q -0.077 H2pR1k -0.077 R1fR2g -0.077 B1fB1g -0.078 B1gC1n -0.078 B1gC2f -0.078

B1gR2f -0.078 C1gC2f -0.078 C1gR2f -0.078 C1nD1g -0.078 C1pD2l -0.078 C2fC2g -0.078 C2fH2g -0.078 C2gR2q -0.078 C2pR1k -0.078 D1gR2f -0.078 D2pD2t -0.078 H1aH1r -0.078 H1pH1t -0.078 R1fR1g -0.078 R2eR2p -0.078 B1aB2r -0.079 B1aH1r -0.079 B1gB1i -0.079 B1kC2g -0.079 B1kH2g -0.079 B1pR1s -0.079 B1tC1g -0.079 C1gC2t -0.079 C2eR1a -0.079 C2iR2g -0.079 D1aD1r -0.079 D1gD1m -0.079 D2fD2g -0.079 D2pH2v -0.079 H1rR2p -0.079 H2nH2p -0.079 R1xR2e -0.079 R2rR2x -0.079 B1gR2k -0.080 B1gR2n -0.080 B1iC1g -0.080 B2gH1f -0.080 C1fC1g -0.080 C1gH2f -0.080 C2gH1f -0.080 C2gH2f -0.080 C2nH2p -0.080 C2pH2n -0.080 C2pH2s -0.080 D1eR2x -0.080 D2aD2r -0.080 H1fH2g -0.080 H1lR1g -0.080 H2fH2g -0.080 H2pH2t -0.080 H2tR2g -0.080 R1rR1x -0.080 B1qC1g -0.081 B2fB2g -0.081 C1eH1p -0.081 C1fD2g -0.081 C1gC1i -0.081 C1gR2n -0.081 C1gR2t -0.081 C1sC2g -0.081 C2dH2p -0.081 C2fR2g -0.081 C2gD1s -0.081 C2lH1p -0.081 C2nC2p -0.081 D1gH2t -0.081 D1pD2a -0.081 D1rR1g -0.081 D1sH2g -0.081 D1tR2g -0.081 D2nD2p -0.081 D2pR2r -0.081 H1fR1g -0.081 H2dH2p -0.081 H2eR1a -0.081 B1kC1g -0.082 B2dB2p -0.082 B2nB2p -0.082 B2pB2t -0.082 C1lD1g -0.082 C2dC2p -0.082 C2gD1d -0.082 C2gR2f -0.082 C2pH2d -0.082 D1dH2g -0.082 D1eD2g -0.082 D1gR2s -0.082 D2aR1e -0.082 H1aH1e -0.082 H1pR2e -0.082 H2gR2f -0.082 R1aR2e -0.082 R1eR1x -0.082 R1lR2g -0.082 R2aR2r -0.082 B1gC1l -0.083 B1pB1v -0.083 B2pD2r -0.083

C1gD1q -0.083 C1gR2s -0.083 C1pC1v -0.083 C1tR2g -0.083 D2dD2p -0.083 D2pR2v -0.083 H1gR1t -0.083 H1gR2r -0.083 R1aR1r -0.083 R1eR2p -0.083 B1fR2g -0.084 B2dR1g -0.084 B2lD1g -0.084 C1fR2g -0.084 C1gD1k -0.084 D1fD1g -0.084 D1pR1r -0.084 H1fR2g -0.084 R1pR1r -0.084 R2fR2g -0.084 R2pR2r -0.084 B1gB2l -0.085 B1gC1v -0.085 B1pB1t -0.085 B2lD2p -0.085 B2rR2p -0.085 C1dR2g -0.085 C2gD1f -0.085 C2pD2e -0.085 D1fH2g -0.085 D2eR1g -0.085 R1aR1e -0.085 R1xR2r -0.085 B1gB1n -0.086 B1gR2d -0.086 B1nC1g -0.086 B2lC1g -0.086 B2lC2g -0.086 C1gH1e -0.086 C1gR2d -0.086 C1lH1p -0.086 C2lD2g -0.086 D1gH2q -0.086 D1gR2q -0.086 D1pD1t -0.086 H1pH1v -0.086 R1eR1p -0.086 R1gR1t -0.086 B1dR2g -0.087 B1gH2q -0.087 B1pD2e -0.087 B1qD1g -0.087 B2gR1t -0.087 B2iH1g -0.087 B2rC1p -0.087 C1qR2g -0.087 C2gD1t -0.087 D1aD1e -0.087 D2kD2p -0.087 H1gR1s -0.087 H1lH1p -0.087 B1gC1q -0.088 C1kC2g -0.088 C1kH2g -0.088 C1lC1p -0.088 C1pC1t -0.088 C2kH2p -0.088 C2vH2p -0.088 H1gR1v -0.088 H2kH2p -0.088 B1gD1s -0.089 B1lH1p -0.089 B2gH1v -0.089 B2kB2p -0.089 B2pB2v -0.089 C1dD1g -0.089 C1gC1n -0.089 C1gD1d -0.089 C2kC2p -0.089 C2pC2v -0.089 C2pH2k -0.089 C2qD1g -0.089 D1fR2g -0.089 H1pH1q -0.089 H2iR2g -0.089 B1gC2q -0.090 B1gH2n -0.090 B2eD1g -0.090 B2eD2p -0.090 B2tR1g -0.090 C1dC2g -0.090 C1dH2g -0.090 C1gH2n -0.090 C1lD2g -0.090 C1sD1g -0.090 C2pC2t -0.090 D1kD1p -0.090 H2pH2s -0.090

B1gB2e -0.091 B1gC1s -0.091 B1lB1p -0.091 B1rD2p -0.091 C1gD1v -0.091 C1gR2i -0.091 C1pC1q -0.091 C2pC2s -0.091 D1gR2i -0.091 B1gC2n -0.092 B1gD1q -0.092 B1gH2t -0.092 B1pB1q -0.092 B1vC2g -0.092 B1vH2g -0.092 B2gR1v -0.092 B2nH1g -0.092 B2pR2l -0.092 C1gC2n -0.092 C1tD1g -0.092 C2gR2d -0.092 D2eD2p -0.092 H2gR2d -0.092 H2pH2v -0.092 R1gR1v -0.092 B1dH1p -0.093 B2gR1d -0.093 B2pB2s -0.093 B2pC2e -0.093 D1dD1p -0.093 D1pD1s -0.093 D2lD2p -0.093 H1sR1g -0.093 B1eC2g -0.094 B1eH2g -0.094 B2dH1g -0.094 B2gH1q -0.094 B2lH2g -0.094 B2pH2e -0.094 D1gD1n -0.094 D1qR2g -0.094 D2gD2i -0.094 B1gC2k -0.095 B1gH2k -0.095 B1gR2s -0.095 B1gR2t -0.095 B1lC1g -0.095 B2gH1s -0.095 B2gR1k -0.095 C1gD1n -0.095 C1sR2g -0.095 C2gD1q -0.095 D1aR1a -0.095 D1eH1p -0.095 D1gH2i -0.095 D1gR2n -0.095 D1gR2t -0.095 D1qH2g -0.095 D2gH2e -0.095 H1gR1l -0.095 H1pH2l -0.095 H1qR1g -0.095 B1gC1k -0.096 B2aR2p -0.096 C1gR2k -0.096 C2aR1x -0.096 C2gD1l -0.096 C2gH2i -0.096 C2gR2i -0.096 C2lH2p -0.096 C2sD1g -0.096 D1gD1i -0.096 D1gH2s -0.096 D1lH2g -0.096 D1tH2g -0.096 D2aH1p -0.096 H1dR1g -0.096 H1pH1s -0.096 H2gH2i -0.096 H2gR2i -0.096 B1gD1d -0.097 B2gD2e -0.097 B2pC1e -0.097 C1gD1r -0.097 C1kC1p -0.097 C2lC2p -0.097 D1gD1l -0.097 D2gH2l -0.097 H2lH2p -0.097 B1dC2g -0.098 B1dH2g -0.098 B1gC2s -0.098 B1gH1l -0.098 B1gH2s -0.098 B1kB1p -0.098 B2gH1d -0.098 B2lB2p -0.098 C1gC2s -0.098

C1qC2g -0.098 C2gH2q -0.098 C2iD1g -0.098 C2pH2l -0.098 D1pD1r -0.098 H2gH2q -0.098 R2gR2i -0.098 B1gC1d -0.099 B1pB1s -0.099 B1qC2g -0.099 B1qH2g -0.099 B1sC1g -0.099 B1sR2g -0.099 B2gR1l -0.099 B2pR2e -0.099 C1gH1l -0.099 C1pC1s -0.099 C2gC2i -0.099 C2iH2g -0.099 C2nR2g -0.099 C2pH2r -0.099 C2tR2g -0.099 H1gH1t -0.099 H1gR1d -0.099 H2nR2g -0.099 R1gR1l -0.099 B1gC2l -0.100 C2qR2g -0.100 D1gD1v -0.100 D1gR2d -0.100 H1kH1p -0.100 H2qR2g -0.100 B1lD2g -0.101 B2eB2p -0.101 B2gB2i -0.101 C1gD1t -0.101 C1gR2q -0.101 C2eH2p -0.101 C2gC2q -0.101 C2gR2k -0.101 C2gR2n -0.101 C2qH2g -0.101 D1gD1q -0.101 D2pD2s -0.101 H1aR2p -0.101 H2gR2k -0.101 H2gR2n -0.101 B1gH2l -0.102 B1gH2r -0.102 B1gH2v -0.102 B1vD1g -0.102 B2gB2q -0.102 B2vH1g -0.102 C2eC2p -0.102 C2gR2s -0.102 D2gD2v -0.102 H2eH2p -0.102 H2gR2s -0.102 B1gB1v -0.103 B1gH1e -0.103 B1lD1g -0.103 C1gH2r -0.103 C2dH2g -0.103 C2pH2e -0.103 C2tD1g -0.103 R2gR2k -0.103 R2gR2n -0.103 R2gR2t -0.103 B1dB1p -0.104 B1gC2r -0.104 B1gC2v -0.104 C1dC1p -0.104 C1gC1v -0.104 C1gC2r -0.104 C1pH1p -0.104 H1dH1p -0.104 H1gR1q -0.104 B1gC2t -0.105 B1pH1d -0.105 C1gD1s -0.105 C1qD1g -0.105 D2gD2q -0.105 D2pD2r -0.105 B1gB1t -0.106 B1sD1g -0.106 B2sR1g -0.106 D2aR2x -0.106 H2pH2r -0.106 B1gD1k -0.107 B1sC2g -0.107 B1sH2g -0.107 B2eC2g -0.107 B2eH2g -0.107 C1gH2s -0.107 C1qH2g -0.107 C2rH2p -0.107 B1gC2e -0.108 C1gC2e -0.108

C1gC2l -0.108 C2gD1k -0.108 C2pC2r -0.108 C2pH2a -0.108 D1eD1p -0.108 D1kH2g -0.108 D2pR2a -0.108 R1gR1q -0.108 R2dR2g -0.108 R2gR2q -0.108 B1gH2e -0.109 B1pB1r -0.109 B2gR1q -0.109 B2kR1g -0.109 B2pB2r -0.109 C1eD1g -0.109 C2eD2g -0.109 C2gH2n -0.109 C2rD1g -0.109 D1gH2v -0.109 D2gD2t -0.109 H1gH1v -0.109 H2aR1x -0.109 H2gH2n -0.109 B1gC1t -0.110 C1gC1l -0.110 C1gC1t -0.110 C1gH2e -0.110 C1gR2v -0.110 C1pC1r -0.110 B2nR1g -0.111 C1gH2l -0.111 C1kR2g -0.111 C1rR2g -0.111 C2gC2n -0.111 C2gH2t -0.111 C2nH2g -0.111 C2vD1g -0.111 D2aR1p -0.111 H1gH1l -0.111 H1kR1g -0.111 H2gH2t -0.111 B1eD1g -0.112 B1gD1r -0.112 B2dB2g -0.112 B2gB2n -0.112 B2gB2t -0.112 B2gH1k -0.112 C1eC1p -0.112 C1gC2k -0.112 C1gC2v -0.112 C1gH2k -0.112 C1kD1g -0.112 C2dC2g -0.112 C2gH2d -0.112 H2dH2g -0.112 B1eC1g -0.113 B1gB1l -0.113 B1kD1g -0.113 B1kR2g -0.113 C1aR1x -0.113 C2kR2g -0.113 H1gH1q -0.113 H2kR2g -0.113 H2sR2g -0.113 B1eB1p -0.114 B1eR2g -0.114 B1gB1q -0.114 B1rC1g -0.114 B2eR2g -0.114 C1gC1q -0.114 C2lD1g -0.114 R2aR2x -0.114 B2gR1s -0.115 C2aH2p -0.115 C2gH2s -0.115 D1gH2r -0.115 D2gD2n -0.115 B1qR2g -0.116 C2gD1r -0.116 C2sR2g -0.116 D1rH2g -0.116 B2kH1g -0.117 D1gD1t -0.117 D1gH2l -0.117 H1pH1r -0.117 R2gR2s -0.117 R2pR2x -0.117 B1gD1t -0.118 D2dD2g -0.118 R1xR2x -0.118 B1dD1g -0.119 C1gH2v -0.119 R1pR2p -0.119 B2vR1g -0.120 C1gC1k -0.120 C1rC2g -0.120 C1rH2g -0.120

C2kD1g -0.120 D1gH2k -0.120 D1gR2v -0.120 B1gB1k -0.121 B2gB2k -0.121 B2gB2v -0.121 B2lR1g -0.121 C1gD1e -0.121 C2gC2k -0.121 C2gC2v -0.121 C2gH2k -0.121 C2kH2g -0.121 C2vH2g -0.121 H2eR2g -0.121 H2gH2k -0.121 R1aR2p -0.121 R2aR2p -0.121 B1dC1g -0.122 B1gB1s -0.122 B1gC1r -0.122 B1gR2l -0.122 C2eD1g -0.122 C2gC2t -0.122 C2gD1e -0.122 C2tH2g -0.122 D1eH2g -0.122 D1gD1k -0.122 D1gR2l -0.122 R1xR2a -0.122 C1gC1s -0.123 C1gR2l -0.123 D1gH2e -0.123 D2gD2k -0.123 H1gH1s -0.123 H1gR1r -0.123 B1aR1x -0.124 B1eH1p -0.124 B2sH1g -0.124 C2gC2s -0.124 C2sH2g -0.124 H1eH1p -0.124 H2gH2s -0.124 R1xR2p -0.125 B2gB2s -0.126 D2gR2e -0.126 C1gR2e -0.127 C2gH2v -0.127 D1dD1g -0.127 D1eR2g -0.127 D1gD1s -0.127 H1rR1g -0.127 H2gH2v -0.127 R1dR1g -0.127 B1gD1e -0.128 C2gR2v -0.128 H1gH1k -0.128 B1dB1g -0.129 C1dC1g -0.129 C1eR2g -0.129 C2gR2l -0.129 H2gR2l -0.129 R1aR1x -0.129 R1gR1k -0.129 R1pR1x -0.129 C1gR2r -0.130 D2eD2g -0.130 B1gR2v -0.131 B1gC1e -0.132 B2rR1g -0.132 C2gC2l -0.132 C2lH2g -0.132 D1kR2g -0.132 D1rR2g -0.132 D2gD2l -0.132 R2gR2l -0.132 B2gB2l -0.133 D1aR1x -0.133 D1gD1r -0.133 D2pR1p -0.133 H1dH1g -0.133 B2gR1e -0.134 B2rH1g -0.134 C2gH2l -0.134 C2vR2g -0.134 H2gH2l -0.134 H2pR1x -0.134 B1gB1r -0.135 B1rD1g -0.135 B2lH1g -0.135 C2gR2e -0.135 H2gR2e -0.135 R1aR1p -0.135 C1eC2g -0.136 C1eH2g -0.136 C1gC1r -0.136 C1rD1g -0.136 C2eR2g -0.136 C2pR1x -0.136

D1gR2e -0.136 R1gR1s -0.136 B1rR2g -0.138 B2eB2g -0.138 D1gR2r -0.138 H1eR1g -0.138 C1eC1g -0.139 C2eC2g -0.139 C2eH2g -0.139 H2gR2v -0.139 C2gH2e -0.140 C2rH2g -0.140 H2eH2g -0.140 B1eB1g -0.141 B1rC2g -0.141 B1rH2g -0.141 B2eH1g -0.141 R2gR2v -0.141 C2aC2p -0.143 D2gD2s -0.143 H2vR2g -0.143 C2rR2g -0.144 H2rR2g -0.145 B1gR2e -0.146 B2aB2p -0.146 H1gR1e -0.146 H2aH2p -0.146 B2gH1r -0.147 C2gH2r -0.147 D1eD1g -0.147 H2gH2r -0.147 H2gR2r -0.147 B2gB2r -0.148 B2gH1e -0.148 C2gC2r -0.148 C2gR2r -0.148 B2eR1g -0.149 B2gR1r -0.149 D2aD2p -0.149 D2gD2r -0.149 H1gH1r -0.149 C1gH2a -0.151 D2pR2x -0.151 C1gC2a -0.156 D1aD1p -0.156 B1gR2r -0.157 C1aC1p -0.157 C1gR2x -0.157 D1pR1x -0.157 R2eR2g -0.157 H1eH1g -0.158 R1gR1r -0.158 B1aB1p -0.160 H1pR2p -0.161 R1eR1g -0.162 C2aD1g -0.164 B2pR2p -0.167 H2gR2x -0.169 R2gR2r -0.169 C2gR2x -0.170 D2gR1x -0.170 B2gR2x -0.175 B1aD1g -0.176 C2gR1p -0.176 H2gR1p -0.176 D1gH2a -0.177 B1pR1x -0.178 C1pR1x -0.178 H1aH1p -0.182 D1gR1p -0.186 B1aC1g -0.188 B1gC1a -0.189 B1gC2a -0.189 C1aD1g -0.189 B1aC2g -0.190 B1aH2g -0.190 C1aC2g -0.192 C1aH2g -0.192 B1gR1p -0.193 C1gR1p -0.194 C1aC1g -0.195 C1gD1a -0.195 C2aC2g -0.195 C2aH2g -0.195 H1gR1x -0.195 B2aH1g -0.196 C2gH2a -0.196 B1aB1g -0.198 B2aB2g -0.198 B1gD1a -0.200 C1gR2a -0.200 H1gR2x -0.200 B1gH2a -0.201 B2gR1p -0.201 H2aH2g -0.202 C2gD1a -0.203 D1aH2g -0.203 H1gR1p -0.208

D2aD2g -0.211 B1gR2x -0.212 D1aD1g -0.212 B2aR1g -0.214 C1gC2p -0.214 C1gH2p -0.215 C2gR2a -0.219 D1gR2x -0.219 H1gR1a -0.219 H2gR2a -0.219 B1gR2a -0.220 D1gR2a -0.220 C2aR2g -0.221 R1pR2g -0.222 H1aR1g -0.223 B1gR2p -0.226 R1gR2x -0.227 D2gR2p -0.228 B1aR2g -0.229 H1aH1g -0.231 D1gR2p -0.232 C1gR2p -0.234 H2aR2g -0.235 R2gR2x -0.236 B2gR1a -0.237 C1pC2g -0.238 C1pH2g -0.238 B2gR1x -0.239 C2gR2p -0.239 H2gR2p -0.239 B2gH1a -0.242 R1gR1x -0.244 R2aR2g -0.244 B1gC1p -0.245 C1gD1p -0.245 D1aR2g -0.245 B1pC1g -0.246 C1aR2g -0.246 C2pD1g -0.249 D1gH2p -0.250 R2gR2p -0.250 C2gD1p -0.254 R1aR1g -0.255 R1gR1p -0.256 B1gD1p -0.257 B1gH2p -0.258 C1pD1g -0.259 D1pH2g -0.259 B1gC2p -0.261 D1gD1p -0.263 B1pD1g -0.267 D2gD2p -0.279 B2pH1g -0.280 C2gH2p -0.280 H2gH2p -0.280 C1gD2g -0.283 C2gC2p -0.283 C2pH2g -0.283 B2gB2p -0.284 B1pC2g -0.288 B1gB1p -0.292 B1pH2g -0.292 B2gH1p -0.292 C1gC1p -0.293 H2pR2g -0.297 B2gC2g -0.303 B2gH2g -0.303 C2pR2g -0.305 B2pR1g -0.310 H1pR1g -0.311 B1gH1g -0.318 C1pR2g -0.322 D1pR2g -0.327 D1gD2g -0.332 B1gD2g -0.348 B1pR2g -0.348 C2gD2g -0.348 H1gH1p -0.349 B2gC1g -0.350 B2gD2g -0.351 B2gD1g -0.352 D2gH2g -0.352 B1gB2g -0.357 H1gH2g -0.361 C2gH1g -0.362 H1gR2g -0.370 D1gH1g -0.384 D2gR2g -0.408 C1gH1g -0.422 C1gR1g -0.428 B1gR1g -0.429 D1gR1g -0.438 D2gH1g -0.443 H2gR1g -0.455 C2gR1g -0.456 D2gR1g -0.472 B2gR2g -0.473 R1gR2g -0.487

Analiza de autocorelaţie a fost efectuată între intrări adiacente (de ordin 1). În continuare se

redă o porţiune din rezultatele obţinute: Chn | Siz | Smi | Sma | Spr | rcoef | r2coef H2v | 875 | 32 | 32 | 3 | 0.059 | 0.004 H2v | 874 | 32 | 32 | 3 | 0.059 | 0.004 H2v | 873 | 32 | 32 | 3 | 0.059 | 0.004 H2v | 872 | 32 | 32 | 3 | 0.059 | 0.004 H2v | 871 | 32 | 32 | 3 | 0.059 | 0.004 H2v | 870 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 869 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 868 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 867 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 866 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 865 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 864 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 863 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 862 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 861 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 860 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 859 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 858 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 857 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 856 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 855 | 32 | 32 | 3 | 0.059 | 0.003 H2v | 854 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 853 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 852 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 851 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 850 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 849 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 848 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 847 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 846 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 845 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 844 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 843 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 842 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 841 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 840 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 839 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 838 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 837 | 32 | 32 | 3 | 0.058 | 0.003 H2v | 836 | 31 | 32 | 3 | 0.060 | 0.004 H2v | 835 | 31 | 31 | 3 | 0.062 | 0.004 H2v | 834 | 31 | 31 | 3 | 0.062 | 0.004 H2v | 833 | 30 | 31 | 3 | 0.064 | 0.004 H2v | 832 | 30 | 30 | 3 | 0.066 | 0.004 H2v | 831 | 30 | 30 | 3 | 0.066 | 0.004 H2v | 830 | 30 | 30 | 3 | 0.066 | 0.004 H2v | 829 | 30 | 30 | 3 | 0.066 | 0.004 H2v | 828 | 30 | 30 | 3 | 0.066 | 0.004

H2v | 827 | 29 | 30 | 3 | 0.068 | 0.005 H2v | 826 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 825 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 824 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 823 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 822 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 821 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 820 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 819 | 29 | 29 | 3 | 0.071 | 0.005 H2v | 818 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 817 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 816 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 815 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 814 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 813 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 812 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 811 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 810 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 809 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 808 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 807 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 806 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 805 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 804 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 803 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 802 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 801 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 800 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 799 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 798 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 797 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 796 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 795 | 29 | 29 | 3 | 0.070 | 0.005 H2v | 794 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 793 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 792 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 791 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 790 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 789 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 788 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 787 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 786 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 785 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 784 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 783 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 782 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 781 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 780 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 779 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 778 | 29 | 29 | 3 | 0.069 | 0.005

H2v | 777 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 776 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 775 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 774 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 773 | 29 | 29 | 3 | 0.069 | 0.005 H2v | 772 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 771 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 770 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 769 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 768 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 767 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 766 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 765 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 764 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 763 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 762 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 761 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 760 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 759 | 29 | 29 | 3 | 0.068 | 0.005 H2v | 758 | 28 | 29 | 3 | 0.070 | 0.005 H2v | 757 | 28 | 28 | 3 | 0.073 | 0.005 H2v | 756 | 28 | 28 | 3 | 0.073 | 0.005 H2v | 755 | 28 | 28 | 3 | 0.073 | 0.005 H2v | 754 | 28 | 28 | 3 | 0.073 | 0.005 H2v | 753 | 28 | 28 | 3 | 0.073 | 0.005 H2v | 752 | 27 | 28 | 3 | 0.075 | 0.006 H2v | 751 | 26 | 27 | 2 | 0.042 | 0.002 H2v | 750 | 26 | 26 | 2 | 0.044 | 0.002 H2v | 749 | 26 | 26 | 2 | 0.044 | 0.002 H2v | 748 | 26 | 26 | 2 | 0.044 | 0.002 H2v | 747 | 26 | 26 | 2 | 0.044 | 0.002 H2v | 746 | 26 | 26 | 2 | 0.044 | 0.002 H2v | 745 | 26 | 26 | 2 | 0.044 | 0.002 H2v | 744 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 743 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 742 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 741 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 740 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 739 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 738 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 737 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 736 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 735 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 734 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 733 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 732 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 731 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 730 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 729 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 728 | 26 | 26 | 2 | 0.043 | 0.002

H2v | 727 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 726 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 725 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 724 | 26 | 26 | 2 | 0.043 | 0.002 H2v | 723 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 722 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 721 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 720 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 719 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 718 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 717 | 26 | 26 | 2 | 0.042 | 0.002 H2v | 716 | 25 | 26 | 2 | 0.044 | 0.002 H2v | 715 | 25 | 25 | 2 | 0.047 | 0.002 H2v | 714 | 25 | 25 | 2 | 0.047 | 0.002 H2v | 713 | 25 | 25 | 2 | 0.047 | 0.002 H2v | 712 | 25 | 25 | 2 | 0.047 | 0.002 H2v | 711 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 710 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 709 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 708 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 707 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 706 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 705 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 704 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 703 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 702 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 701 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 700 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 699 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 698 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 697 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 696 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 695 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 694 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 693 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 692 | 25 | 25 | 2 | 0.046 | 0.002 H2v | 691 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 690 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 689 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 688 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 687 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 686 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 685 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 684 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 683 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 682 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 681 | 25 | 25 | 2 | 0.045 | 0.002 H2v | 680 | 24 | 25 | 2 | 0.047 | 0.002 H2v | 679 | 24 | 24 | 2 | 0.050 | 0.002 H2v | 678 | 24 | 24 | 2 | 0.050 | 0.002

H2v | 677 | 24 | 24 | 2 | 0.050 | 0.002 H2v | 676 | 24 | 24 | 2 | 0.050 | 0.002 H2v | 675 | 24 | 24 | 2 | 0.050 | 0.002 H2v | 674 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 673 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 672 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 671 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 670 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 669 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 668 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 667 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 666 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 665 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 664 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 663 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 662 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 661 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 660 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 659 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 658 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 657 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 656 | 24 | 24 | 2 | 0.049 | 0.002 H2v | 655 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 654 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 653 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 652 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 651 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 650 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 649 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 648 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 647 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 646 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 645 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 644 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 643 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 642 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 641 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 640 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 639 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 638 | 24 | 24 | 2 | 0.048 | 0.002 H2v | 637 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 636 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 635 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 634 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 633 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 632 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 631 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 630 | 24 | 24 | 2 | 0.047 | 0.002 H2v | 629 | 23 | 24 | 2 | 0.050 | 0.002 H2v | 628 | 23 | 23 | 2 | 0.052 | 0.003

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H2v | 627 | 23 | 23 | 2 | 0.052 | 0.003 H2v | 626 | 22 | 23 | 2 | 0.055 | 0.003 R1a | 236 | 26 | 27 | 3 | 0.001 | 0.000 R1a | 235 | 26 | 26 | 3 | 0.005 | 0.000 R1a | 234 | 26 | 26 | 3 | 0.005 | 0.000 R1a | 233 | 25 | 26 | 3 | 0.009 | 0.000 R1a | 232 | 25 | 25 | 3 | 0.014 | 0.000 R1a | 231 | 25 | 25 | 3 | 0.013 | 0.000 R1a | 230 | 25 | 25 | 3 | 0.013 | 0.000 R1a | 229 | 25 | 25 | 3 | 0.012 | 0.000 R1a | 228 | 25 | 25 | 3 | 0.012 | 0.000 R1a | 227 | 24 | 25 | 3 | 0.016 | 0.000 R1a | 226 | 24 | 24 | 3 | 0.021 | 0.000 R1a | 225 | 24 | 24 | 3 | 0.021 | 0.000 R1a | 224 | 24 | 24 | 3 | 0.020 | 0.000 R1

R1a | 223 | 24 | 24 | 3 | 0.019 | 0.000 R1a | 222 | 23 | 24 | 3 | 0.024 | 0.001 R1a | 221 | 23 | 23 | 3 | 0.029 | 0.001 R1a | 220 | 23 | 23 | 3 | 0.029 | 0.001 R1a | 219 | 22 | 23 | 3 | 0.034 | 0.001 R1a | 216 | 20 | 21 | 2 | 0.003 | 0.000 R1a | 215 | 20 | 20 | 2 | 0.008 | 0.000 R1a | 214 | 20 | 20 | 2 | 0.007 | 0.000 R1a | 213 | 20 | 20 | 2 | 0.007 | 0.000 R1a | 212 | 20 | 20 | 2 | 0.006 | 0.000 R1a | 211 | 20 | 20 | 2 | 0.006 | 0.000 R1a | 210 | 20 | 20 | 2 | 0.005 | 0.000 R1a | 209 | 20 | 20 | 2 | 0.005 | 0.000 R1a | 208 | 20 | 20 | 2 | 0.004 | 0.000 a | 207 | 20 | 20 | 2 | 0.004 | 0.000

R1a | 206 | 20 | 20 | 2 | 0.003 | 0.000 R1a | 205 | 20 | 20 | 2 | 0.003 | 0.000 R1a | 204 | 20 | 20 | 2 | 0.002 | 0.000 R1a | 203 | 20 | 20 | 2 | 0.002 | 0.000 R1a | 202 | 20 | 20 | 2 | 0.001 | 0.000 R1a | 201 | 20 | 20 | 2 | 0.001 | 0.000 R1a | 197 | 19 | 20 | 2 | 0.004 | 0.000 R1a | 196 | 19 | 19 | 2 | 0.009 | 0.000 R1a | 195 | 19 | 19 | 2 | 0.009 | 0.000 R1a | 194 | 19 | 19 | 2 | 0.008 | 0.000 R1a | 193 | 19 | 19 | 2 | 0.008 | 0.000 R1a | 192 | 18 | 19 | 2 | 0.013 | 0.000 R1a | 191 | 18 | 18 | 2 | 0.019 | 0.000 R1a | 190 | 18 | 18 | 2 | 0.018 | 0.000 R1a | 189 | 18 | 18 | 2 | 0.018 | 0.000

R1a | 188 | 17 | 18 | 2 | 0.023 | 0.001 R1a | 187 | 17 | 17 | 2 | 0.029 | 0.001 R1a | 186 | 17 | 17 | 2 | 0.029 | 0.001 R1a | 185 | 16 | 17 | 2 | 0.035 | 0.001 R1a | 184 | 16 | 16 | 2 | 0.042 | 0.002 R1a | 183 | 16 | 16 | 2 | 0.041 | 0.002 R1a | 182 | 16 | 16 | 2 | 0.041 | 0.002 R1a | 181 | 16 | 16 | 2 | 0.040 | 0.002 R1a | 180 | 16 | 16 | 2 | 0.040 | 0.002 R1a | 179 | 16 | 16 | 2 | 0.039 | 0.002 R1a | 178 | 16 | 16 | 2 | 0.039 | 0.001 R1a | 177 | 16 | 16 | 2 | 0.038 | 0.001 R1a | 176 | 16 | 16 | 2 | 0.038 | 0.001 R1a | 175 | 16 | 16 | 2 | 0.037 | 0.001 R1a | 174 | 16 | 16 | 2 | 0.036 | 0.001

R1a | 173 | 16 | 16 | 2 | 0.036 | 0.001 R1a | 172 | 16 | 16 | 2 | 0.035 | 0.001 R1a | 171 | 16 | 16 | 2 | 0.035 | 0.001 R1a | 170 | 16 | 16 | 2 | 0.034 | 0.001 R1a | 169 | 16 | 16 | 2 | 0.033 | 0.001 R1a | 168 | 15 | 16 | 2 | 0.041 | 0.002 R2g | 14 | 5 | 5 | 2 | 0.067 | 0.004 R2g | 13 | 5 | 5 | 2 | 0.025 | 0.001 R2g | 12 | 4 | 5 | 2 | 0.120 | 0.014 R2g | 11 | 4 | 4 | 2 | 0.214 | 0.046 R2g | 10 | 4 | 4 | 2 | 0.167 | 0.028 R2g | 9 | 3 | 4 | 2 | 0.316 | 0.100 R2g | 8 | 3 | 3 | 2 | 0.467 | 0.218 R2g | 7 | 2 | 3 | 2 | 0.730 | 0.533

Analiza rezultatelor corelaţiei şi autocorelaţiei rangurilor a pus în evidenţă o serie de asocieri

importante care sunt redate în Tabelul 54 (corelaţia rangurilor) şi Tabelul 55 (autocorelaţie).

Tabelul 54. Frecvenţa de apariţie în clase de corelaţie

Specie_Şir AA şters rmin (unde) rmax (unde) r < 0.5 r ≥ 0.5 r ≥ 0.75 r ≥ 0.95 r ≥ 0.99BTα1 W 0.4905 (V-Y) 0.9987 (L-R) 2 151 140 77 9 BTα2 C, W 0.6857 (H-L) 0.9989 (G-R) 0 136 133 103 23 CLα1 W 0.5438 (C-Y) 0.9974 (K-R) 0 153 145 90 12 CLα2 W 0.5255 (L-Y) 0.9988 (G-R) 0 153 138 105 17 DRα1 W, Y 0.5959 (H-L) 0.9968 (E-R) 0 153 151 97 11 DRα2 C, W 0.5852 (H-L) 0.9978 (G-P) 0 153 145 100 24 HSα1 H, M, W, Y 0.7363 (C-L) 0.9983 (G-P) 0 120 119 72 9 HSα2 C, W 0.5033 (M-Y) 0.9989 (G-R) 0 153 136 98 21 RNα1 C, I, M, W, Y 0.8953 (A-N) 0.9993 (G-X) 0 105 105 95 25 RNα2 C, M, W, Y 0.8709 (S-T) 0.9983 (G-P) 0 120 120 100 19 BTα1 = Bos taurus α1; BTα2 = Bos taurus α2; CLα1 = Canis lupus α1; CLα2 = Canis lupus α2; DRα1 = Danio rerio α1; DRα2 = Danio rerio α2; HSα1 = Homo sapiens α1; HSα2 = Homo sapiens α2; RNα1 = Rattus norvegicus α1; RNα2 = Rattus norvegicus α2;

Tabelul 55. Rezultatele analizei de autocorelaţie

Chn Siz Smi Sma Spr r Chn Siz Smi Sma Spr r BTα1_A 380 26 27 3 0.0470 DRα1_A 314 26 27 5 0.1140BTα1_D 271 16 16 2 0.0700 DRα1_D 214 17 17 3 0.1050BTα1_E 28 3 4 2 0.5190 DRα1_G 161 18 18 3 0.0620BTα1_L 43 8 8 5 0.5390 DRα1_I 1422 33 34 2 0.0370BTα1_P 152 25 26 6 0.0810 DRα1_K 1405 55 55 4 0.0350BTα1_Q 1449 50 50 2 0.0060 DRα1_L 12 4 5 3 0.4780BTα1_T 1232 26 27 2 0.0550 DRα1_T 1414 51 52 2 0.0030BTα1_V 1222 29 30 2 0.0450 DRα2_A 216 19 19 3 0.0770BTα2_A 333 31 32 3 0.0010 DRα2_K 1310 47 47 3 0.0290BTα2_K 1317 45 46 3 0.0330 DRα2_L 12 4 5 3 0.4780BTα2_L 12 4 5 3 0.4780 DRα2_N 517 14 15 2 0.1130BTα2_N 1141 27 28 2 0.0500 DRα2_P 74 12 12 2 0.0050BTα2_P 49 5 6 2 0.2850 DRα2_S 1205 56 57 3 0.0070BTα2_V 713 21 21 2 0.0680 HSα1_A 381 27 28 3 0.0400CLα1_A 326 22 23 2 0.0210 HSα1_D 272 16 16 2 0.0700CLα1_D 268 15 15 2 0.0820 HSα1_E 465 26 27 2 0.0200CLα1_E 28 3 4 2 0.5190 HSα1_L 43 8 8 5 0.5390CLα1_L 39 8 8 5 0.5280 HSα1_P 176 27 27 6 0.0810CLα1_P 83 5 6 2 0.3200 HSα2_A 104 6 7 2 0.2630CLα1_Q 1375 47 48 2 0.0080 HSα2_E 377 17 18 2 0.0710CLα1_T 1229 29 30 2 0.0450 HSα2_K 1319 45 46 3 0.0330CLα1_V 1219 29 30 2 0.0450 HSα2_L 12 4 5 3 0.4780CLα1_Y 1211 5 6 2 0.3620 HSα2_N 1143 26 27 2 0.0540

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

CLα2_A 335 31 32 3 0.0010 HSα2_P 49 5 6 2 0.2850CLα2_K 1319 45 46 3 0.0330 HSα2_S 1219 43 44 2 0.0110CLα2_L 12 4 5 3 0.4780 HSα2_V 752 27 28 3 0.0750CLα2_N 1143 26 27 2 0.0540 RNα1_A 184 16 16 2 0.0420CLα2_P 49 5 6 2 0.2850 RNα2_G 7 2 3 2 0.7300Chn = Specia (2 litere) şirul de collagen tip I, aminoacidul (1 literă); BTα1_i = Bos taurus α1; BTα2_i = Bos taurus α2; CLα1_i = Canis lupus α1; CLα2_i = Canis lupus α2; DRα1_i = Danio rerio α1; DRα2_i = Danio rerio α2; HSα1_i = Homo sapiens α1; HSα2_i = Homo sapiens α2; RNα1_i = Rattus norvegicus α1; RNα2_i = Rattus norvegicus α2; Siz = dimensiunea substructurii de collagen tip I; Smi şi Sma = nr. de aminoacizi prezenţi în cele 2 substructuri; Spr = număr de prezenţe simultane ale aminoacizilor de interes; r = coeficientul de corelaţie

104(112)

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Obiective şi rezultate Etapa II(2008).

Obiectiv: Elaborare modele şi disponibilizare rezultate

Disponibilizare rezultate

Rezultatele obţinute au fost disponibilizate online. Un număr de 4 portaluri găzduiesc

rezultatele obţinute.

Capturile de ecran ale acestora sunt redate în continuare.

Figura 34. Portal dedicat proprietăţilor aminoacizilor din colagen http://l.academicdirect.org/Agriculture/Colagen/AminoAcidsProp/

Page 106: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Figura 35. Portal dedicat analizei şirurilor de aminoacizi http://l.academicdirect.org/Agriculture/Colagen/Chains/

Figura 36. Portal dedicat analizei proprietăţilor şirurilor

http://l.academicdirect.org/Agriculture/Colagen/PropGen/

106(112)

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Figura 37. Portal dedicat analizei de corelaţie a şirurilor pe proprietăţi

http://l.academicdirect.org/Agriculture/Colagen/StringAnalysis/

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

Concluzii

Scopul proiectului, caracterizarea relaţiilor structură proprietate ale colagenului prin

folosirea instrumentelor statisticii aplicate, a fost atins. Termenii rezultatelor cercetării sunt:

material - colagen tip I; proprietate - hidrofobicitate aminoacizi; metode - serii de timp; - analiza

componentelor principale.

Obiectivele realizate au fost: Documentare şi design metodologic (obiectiv

managerial/administrativ); Modelare şi caracterizare relaţii structură-proprietate (obiectiv

ştiintific - cercetare fundamentală şi aplicativă); Analiza şi modelarea - colagen tip I (obiectiv

ştiinţific - cercetare fundamentală şi aplicativă); Elaborarea modelelor şi disponibilizare rezultate

(obiectiv ştiinţific - cercetare fundamentală şi aplicativă).

Participarea la manifestări ştiinţifice internaţionale de mare vizibilitate s-a materializat prin:

÷ (Jäntschi şi alţii, 2007): A Formula for Vertex Cuts in b-Trees;

÷ (Bolboacă şi Jäntschi, 2007): Are confidence intervals for binomial distributed samples an

optimization meters?;

÷ (Bolboacă şi Jäntschi, 2007): Modeling Analysis of Amino Acids Hydrophobicity;

÷ (Jäntschi şi Bolboacă, 2007): Molecular Descriptors Family Project and Their Application on

Structure-Property/Activity Relationships;

÷ (Jäntschi şi Bolboacă, 2007): How to Asses Dose-Response Study Outcome: a Statistical

Approach;

÷ (Bolboacă şi Jäntschi, 2007): Is Amino Acids Hydrophobicity a Matter of Scale?;

÷ (Jäntschi şi Bolboacă, 2008): Embedded Molecular Geometry and Molecular Topology

Approach for Structure - Activity Relationships;

÷ (Bolboacă şi Jäntschi, 2008): Statistical Approach of Structure-Activity Relationships: A Case

Study;

÷ (Bolboacă şi alţii, 2008): Statistics for QSAR Validation;

÷ (Bolboacă şi Jäntschi, 2008): Analysis of Collagen Type I Chains;

Rezultatele cercetării au fost valorificate prin publicaţii ştiinţifice sub formă de articole în

jurnale indexate în baze de date internaţionale după cum urmează:

÷ ISI (Jäntschi şi Bolboacă, 2007): Modeling the Octanol-Water Partition Coefficient of

Substituted Phenols by the Use of Structure Information;

÷ (Jäntschi şi Bolboacă, 2007): The Jungle of Linear Regression Revisited;

÷ (Bolboacă şi Jäntschi, 2007): Data Mining on Structure-Activity/Property Relationships

Models;

108(112)

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÷ (Jäntschi şi alţii, 2007): National Trends on Agricultural Crops Production: Cluster Analysis;

÷ (Bolboacă şi Jäntschi, 2007): Amino Acids Sequences Analysis on Collagen;

÷ (Bolboacă şi Jäntschi, 2007): Mapping Cigarettes Similarities using Cluster Analysis Methods;

÷ (Bolboacă şi Jäntschi, 2007): Similarities Analysis on Hydroxyapatite-Zirconia Composites;

÷ (Jäntschi şi Bolboacă, 2007): Structure-Activity Relationships on the Molecular Descriptors

Family Project at the End;

÷ ISI (Bolboacă şi Jäntschi, 2008): Structure Activity Relationships of Taxoids therein Molecular

Descriptors Family Approach;

÷ ISI (Suciu şi alţii, 2008): Analysis of Soil Heavy Metal Pollution and Pattern in Central

Transylvania;

÷ ISI (Bolboacă şi Jäntschi, 2008): Modelling the property of compounds from structure:

statistical methods for models validation;

÷ (Bolboacă şi Jäntschi, 2008): Homo Sapiens Type I Collagen: Patterns Analysis;

÷ (Bolboacă şi Jäntschi, 2008): Cyclicity Analysis of Amino-Acids on Type I Collagen Chains;

÷ (Bolboacă şi alţii, 2008): Reporting Results and Associated Statistics in Quantitative Genetic

Studies;

÷ (Jäntschi şi alţii, 2008): On about what Can Be Done and what Cannot Be Done with Genetic

Algorithms in Phylogenetic Tree and Gene Sequence Analyses;

÷ (Ştefu şi alţii, 2008): Molecular Hyperstructures with High Symmetry;

÷ ISI (Bolboacă şi Jäntschi, 2008): A structural informatics study on collagen;

÷ ISI (Bolboacă şi Jäntschi, 2008): Modelling Analysis of Amino Acids Hydrophobicity;

÷ (Stoenoiu şi alţii, 2008): Model Formulation & Interpretation - From Experiment to Theory;

÷ (Bolboacă şi Jäntschi, 2008): Optimized Confidence Intervals for Binomial Distributed

Samples;

Marea majoritate (66.6%) a operaţiilor necesare pentru linearizarea indicatorului de structură

cu hidrofobicitatea observată necesită inversarea valorii indicatorului de structură. Un număr

relative mare din totalul hidrofobicităţilor (în fapt majoritatea, 50%) sunt proprietăţi selective,

preferând selecţia valorii minime (`m` sau `n`) din seria de valori fragmentale. De asemenea, un

număr relative important (33%) sunt proprietăţi cu manifestare uniformă (medie) şi liniară

(aritmetică) preferând suma valorilor fragmentale împărţită fie la numărul de atomi fie la numărul

de legături ale moleculei. Chiar dacă nu majoritatea (45.8%) un număr foarte mare de

hidrofobicităţi se manifestă pe bază de atomi individuali (sau fragmente minimale), proprietatea

acestora fiind determinantă. Practic toate modelele preferate au în comun că suprapunerile în

fragmente sunt obţinute în atomul probă. Marea majoritate (75%) sunt interacţiuni rare. Jumătate

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Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

(50%) din modelele preferate se bazează exclusiv pe proprietatea atomică, în timp ce distribuţia

între celelalte mărimi este relativ uniformă. Observaţia este susţinută şi de preferinţa anterior

observată pentru fragmentele formate dintr-un singur atom. Aproape exclusiv proprietatea atomică

determinantă în manifestarea hidrofobicităţii (96%, cu o confidenţă la 95% de la 79% la 100%) este

sarcina electrică parţială. Peste 79% din modelele de hidrofobicitate sunt constituite pe baza

distanţei geometrice care separă atomii în spaţiu în defavoarea distanţei pe adiacenţe. O serie de

asocieri importante au fost identificate:

÷ În şirul BTα1 în urma ştergerii aminoacidului W corelaţia rangurilor variază între 0.49 (între

rangurile amino acizilor V şi Y) şi 0.99 (între rangurile amino acizilor L şi R);

÷ În şirul BTα2 în urma ştergerii aminoacizilor C şi W corelaţia rangurilor variază între 0.69 (între

rangurile amino acizilor H şi L) şi 0.99 (între rangurile amino acizilor G şi R);

÷ În şirul CLα1 în urma ştergerii aminoacidului W corelaţia rangurilor variază între 0.54 (între

rangurile amino acizilor C şi Y) şi 0.99 (între rangurile amino acizilor K şi R);

÷ În şirul CLα2 în urma ştergerii aminoacidului W corelaţia rangurilor variază între 0.53 (între

rangurile amino acizilor L şi Y) şi 0.99 (între rangurile amino acizilor G şi R);

÷ În şirul DRα1 în urma ştergerii aminoacizilor W şi Y corelaţia rangurilor variază între 0.59

(între rangurile amino acizilor H şi L) şi 0.99 (între rangurile amino acizilor E şi R);

÷ În şirul DRα2 în urma ştergerii aminoacizilor C şi W corelaţia rangurilor variază între 0.59

(între rangurile amino acizilor H şi L) şi 0.99 (între rangurile amino acizilor G şi P);

÷ În şirul HSα1 în urma ştergerii aminoacizilor H, M, W şi Y corelaţia rangurilor variază între

0.74 (între rangurile amino acizilor C şi L) şi 0.99 (între rangurile amino acizilor G şi P);

÷ În şirul HSα2 în urma ştergerii aminoacizilor C şi W corelaţia rangurilor variază între 0.50 (între

rangurile amino acizilor M şi Y) şi 0.99 (între rangurile amino acizilor G şi R);

÷ În şirul RNα1 în urma ştergerii aminoacizilor C, I, M, W şi Y corelaţia rangurilor variază între

0.89 (între rangurile amino acizilor A şi N) şi 0.99 (între rangurile amino acizilor G şi X);

÷ În şirul RNα2 în urma ştergerii aminoacizilor C, M, W şi Y corelaţia rangurilor variază între

0.87 (între rangurile amino acizilor S şi T) şi 0.99 (între rangurile amino acizilor G şi P);

Investigaţiile desfăşurate au permis astfel atingerea obictivului propus, şi anume

caracterizarea relaţiilor structură proprietate ale colagenului prin folosirea instrumentelor statisticii

aplicate.

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Referinţe

Bolboacă SD, Jäntschi L, Sestraş RE. 2008. Reporting Results and Associated Statistics in

Quantitative Genetic Studies. Bull Univ Agric Sci Med Vet Hortic 65(1):71-79.

Bolboacă SD, Jäntschi L. 2007. Amino Acids Sequences Analysis on Collagen. Bull Univ Agric Sci

Med Vet Anim Sci Biotechnol 63-64:311-316.

Bolboacă SD, Jäntschi L. 2007. Are confidence intervals for binomial distributed samples an

optimization meters?. Proc Int Conf Appl Math Comput 4(1):233.

Bolboacă SD, Jäntschi L. 2007. Data Mining on Structure-Activity/Property Relationships Models.

World Appl Sci J 2(4):323-332.

Bolboacă SD, Jäntschi L. 2007. Is Amino Acids Hydrophobicity a Matter of Scale?. Rec Adv Synt

Chem Biol 6:P2.

Bolboacă SD, Jäntschi L. 2007. Mapping Cigarettes Similarities using Cluster Analysis Methods.

Int J Environ Res Publ Health 4(3):233-242.

Bolboacă SD, Jäntschi L. 2007. Modeling Analysis of Amino Acids Hydrophobicity. Proc

ChemMod 2007:6.

Bolboacă SD, Jäntschi L. 2007. Similarities Analysis on Hydroxyapatite-Zirconia Composites.

Leonardo J Sci 11(6):153-164.

Bolboacă SD, Jäntschi L. 2008. A structural informatics study on collagen. Chem Biol Drug Des

71(2):173-179.

Bolboacă SD, Jäntschi L. 2008. Analysis of Collagen Type I Chains. Proc Int Conf Appl Math

Comput 2008 5(1):84.

Bolboacă SD, Jäntschi L. 2008. Cyclicity Analysis of Amino-Acids on Type I Collagen Chains.

Bull Univ Agric Sci Med Vet Anim Sci Biotechnol 65(1-2):404-409.

Bolboacă SD, Jäntschi L. 2008. Homo Sapiens Type I Collagen: Patterns Analysis. Appl Med

Inform 22(1-2):39-46.

Bolboacă SD, Jäntschi L. 2008. Modelling Analysis of Amino Acids Hydrophobicity. Commun

Math Comput Chem (MATCH) 60(3):1021-1032.

Bolboacă SD, Jäntschi L. 2008. Modelling the property of compounds from structure: statistical

methods for models validation. Environ Chem Lett 6(3):175-181.

Bolboacă SD, Jäntschi L. 2008. Optimized Confidence Intervals for Binomial Distributed Samples.

Int J Pure App Math 47(1):1-8.

Bolboacă SD, Jäntschi L. 2008. Statistical Approach of Structure-Activity Relationships: A Case

Study. Strasbourg Summ School Chemoinf 1:P3.

Bolboacă SD, Jäntschi L. 2008. Structure Activity Relationships of Taxoids therein Molecular

Descriptors Family Approach. Achiv Med Sci 4(1):7-15.

Page 112: Statistica Aplicată (Serii de Timp, Analiza Componentelor Principale)

Sorana D. BOLBOACĂ (principal investigator) & Lorentz JÄNTSCHI (co-investigator)

112(112)

Bolboacă SD, Stoenoiu CE, Jäntschi L. 2008. Statistics for QSAR Validation. Proc Int Conf Appl

Math Comput 2008 5(1):83.

Diudea M, Gutman I, Jäntschi L. 2001. Molecular Topology, Huntington:Nova Science, p. 332.

Jäntschi L, Bolboacă SD, Sestraş RE. 2008. On about what Can Be Done and what Cannot Be Done

with Genetic Algorithms in Phylogenetic Tree and Gene Sequence Analyses. Bull Univ Agric Sci

Med Vet Hortic 65(1):63-70.

Jäntschi L, Bolboacă SD, Stoenoiu CE. 2007. National Trends on Agricultural Crops Production:

Cluster Analysis. Bull Univ Agric Sci Med Vet Agric 63-64:194-202.

Jäntschi L, Bolboacă SD. 2007. How to Asses Dose-Response Study Outcome: a Statistical

Approach. Rec Adv Synt Chem Biol 6:P36.

Jäntschi L, Bolboacă SD. 2007. Modeling the Octanol-Water Partition Coefficient of Substituted

Phenols by the Use of Structure Information. Int J Quant Chem 107(8):1736-1744.

Jäntschi L, Bolboacă SD. 2007. Molecular Descriptors Family Project and Their Application on

Structure-Property/Activity Relationships. Proc ChemMod 2007:22.

Jäntschi L, Bolboacă SD. 2007. Results from the Use of Molecular Descriptors Family on Structure

Property/Activity Relationships. Int J Mol Sci 8(3):189-203.

Jäntschi L, Bolboacă SD. 2007. Structure-Activity Relationships on the Molecular Descriptors

Family Project at the End. Leonardo El J Pract Technol 6(11):163-180.

Jäntschi L, Bolboacă SD. 2007. The Jungle of Linear Regression Revisited. Leonardo El J Pract

Technol 6(10):169-187.

Jäntschi L, Bolboacă SD. 2008. Embedded Molecular Geometry and Molecular Topology Approach

for Structure - Activity Relationships. Strasbourg Summ School Chemoinf 1:P8.

Jäntschi L, Katona G, Diudea M. 2000. Modeling Molecular Properties by Cluj Indices. Commun

Math Comput Chem (MATCH), 41:151-188.

Jäntschi L, Stoenoiu CE, Bolboacă SD. 2007. A Formula for Vertex Cuts in b-Trees, Proc Int Conf

Appl Math Comput 4(2):233.

Jäntschi L. 2005. Molecular Descriptors Family on Structure Activity Relationships 1. Review of

the Methodology. Leonardo El J Pract Technol 4(6):76-98.

Ştefu M, Bolboacă SD, Bălan MC, Jäntschi L. 2008. Molecular Hyperstructures with High

Symmetry. Bull Univ Agric Sci Med Vet Hortic 65(2):681-686.

Stoenoiu CE, Bolboacă SD, Jäntschi L. 2008. Model Formulation & Interpretation - From

Experiment to Theory. Int J Pure App Math 47(1):9-16.

Suciu I, Cosma C, Todică M, Bolboacă SD, Jäntschi L. 2008. Analysis of Soil Heavy Metal

Pollution and Pattern in Central Transylvania. Int J Mol Sci 9(4):434-453.