Raport de cercetare - Lorentz JÄNTSCHI

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(1, 3) [1, 5, 4, 3] {1} (3, 1) [3, 4, 5, 1] {3, 6, 7, 8, 9, 10, 11} (1, 4) [1, 2, 3, 4] {1} (4, 1) [4, 3, 2, 1] {4} (1, 5) [1, 2, 3, 4, 5] {1} (5, 1) [5, 4, 3, 2, 1] {5} (1, 6) [1, 5, 4, 3, 6] {1, 2} (6, 1) [6, 3, 4, 5, 1] {6, 7, 8, 9, 10, 11} (1, 7) [1, 5, 4, 3, 6, 10, 11, 7] {1, 2} (7, 1) [7, 11, 10, 6, 3, 4, 5, 1] {7, 8, 9} (1, 7) [1, 5, 4, 3, 6, 9, 8, 7] {1, 2} (7, 1) [7, 8, 9, 6, 3, 4, 5, 1] {7, 10, 11} (1, 8) [1, 5, 4, 3, 6, 10, 11, 7, 8] {1, 2} (8, 1) [8, 7, 11, 10, 6, 3, 4, 5, 1] {8, 9} (1, 9) [1, 5, 4, 3, 6, 10, 11, 7, 8, 9] {1, 2} (9, 1) [9, 8, 7, 11, 10, 6, 3, 4, 5, 1] {9} (1, 10) [1, 5, 4, 3, 6, 9, 8, 7, 11, 10] {1, 2} (10, 1) [10, 11, 7, 8, 9, 6, 3, 4, 5, 1] {10} (1, 11) [1, 5, 4, 3, 6, 9, 8, 7, 11] {1, 2} (11, 1) [11, 7, 8, 9, 6, 3, 4, 5, 1] {10, 11} (2, 3) [2, 1, 5, 4, 3] {2} (3, 2) [3, 4, 5, 1, 2] {3, 6, 7, 8, 9, 10, 11} (2, 4) [2, 1, 5, 4] {2} (4, 2) [4, 5, 1, 2] {4} (2, 5) [2, 3, 4, 5] {2} (5, 2) [5, 4, 3, 2] {5} (2, 6) [2, 1, 5, 4, 3, 6] {2} (6, 2) [6, 3, 4, 5, 1, 2] {6, 7, 8, 9, 10, 11} (2, 7) [2, 1, 5, 4, 3, 6, 10, 11, 7] {2} (7, 2) [7, 11, 10, 6, 3, 4, 5, 1, 2] {7, 8, 9} (2, 7) [2, 1, 5, 4, 3, 6, 9, 8, 7] {2} (7, 2) [7, 8, 9, 6, 3, 4, 5, 1, 2] {7, 10, 11} (2, 8) [2, 1, 5, 4, 3, 6, 10, 11, 7, 8] {2} (8, 2) [8, 7, 11, 10, 6, 3, 4, 5, 1, 2] {8, 9} (2, 9) [2, 1, 5, 4, 3, 6, 10, 11, 7, 8, 9] {2} (9, 2) [9, 8, 7, 11, 10, 6, 3, 4, 5, 1, 2] {9} (2, 10) [2, 1, 5, 4, 3, 6, 9, 8, 7, 11, 10] {2} (10, 2) [10, 11, 7, 8, 9, 6, 3, 4, 5, 1, 2] {10} (2, 11) [2, 1, 5, 4, 3, 6, 9, 8, 7, 11] {2} (11, 2) [11, 7, 8, 9, 6, 3, 4, 5, 1, 2] {10, 11} (3, 4) [3, 2, 1, 5, 4] {3, 6, 7, 8, 9, 10, 11} (4, 3) [4, 5, 1, 2, 3] {4} (3, 5) [3, 2, 1, 5] {3, 6, 7, 8, 9, 10, 11} (5, 3) [5, 1, 2, 3] {5} (3, 6) [3, 6] {1, 2, 3, 4, 5} (6, 3) [6, 3] {6, 7, 8, 9, 10, 11} (3, 7) [3, 6, 10, 11, 7] {1, 2, 3, 4, 5} (7, 3) [7, 11, 10, 6, 3] {7, 8, 9} (3, 7) [3, 6, 9, 8, 7] {1, 2, 3, 4, 5} (7, 3) [7, 8, 9, 6, 3] {7, 10, 11} 100
(3, 8) [3, 6, 10, 11, 7, 8] {1, 2, 3, 4, 5} (8, 3) [8, 7, 11, 10, 6, 3] {8, 9} (3, 9) [3, 6, 10, 11, 7, 8, 9] {1, 2, 3, 4, 5} (9, 3) [9, 8, 7, 11, 10, 6, 3] {9} (3, 10) [3, 6, 9, 8, 7, 11, 10] {1, 2, 3, 4, 5} (10, 3) [10, 11, 7, 8, 9, 6, 3] {10} (3, 11) [3, 6, 9, 8, 7, 11] {1, 2, 3, 4, 5} (11, 3) [11, 7, 8, 9, 6, 3] {10, 11} (4, 5) [4, 3, 2, 1, 5] {4} (5, 4) [5, 1, 2, 3, 4] {5} (4, 6) [4, 5, 1, 2, 3, 6] {4} (6, 4) [6, 3, 2, 1, 5, 4] {6, 7, 8, 9, 10, 11} (4, 7) [4, 5, 1, 2, 3, 6, 10, 11, 7] {4} (7, 4) [7, 11, 10, 6, 3, 2, 1, 5, 4] {7, 8, 9} (4, 7) [4, 5, 1, 2, 3, 6, 9, 8, 7] {4} (7, 4) [7, 8, 9, 6, 3, 2, 1, 5, 4] {7, 10, 11} (4, 8) [4, 5, 1, 2, 3, 6, 10, 11, 7, 8] {4} (8, 4) [8, 7, 11, 10, 6, 3, 2, 1, 5, 4] {8, 9} (4, 9) [4, 5, 1, 2, 3, 6, 10, 11, 7, 8, 9] {4} (9, 4) [9, 8, 7, 11, 10, 6, 3, 2, 1, 5, 4] {9} (4, 10) [4, 5, 1, 2, 3, 6, 9, 8, 7, 11, 10] {4} (10, 4) [10, 11, 7, 8, 9, 6, 3, 2, 1, 5, 4] {10} (4, 11) [4, 5, 1, 2, 3, 6, 9, 8, 7, 11] {4} (11, 4) [11, 7, 8, 9, 6, 3, 2, 1, 5, 4] {10, 11} (5, 6) [5, 1, 2, 3, 6] {4, 5} (6, 5) [6, 3, 2, 1, 5] {6, 7, 8, 9, 10, 11} (5, 7) [5, 1, 2, 3, 6, 10, 11, 7] {4, 5} (7, 5) [7, 11, 10, 6, 3, 2, 1, 5] {7, 8, 9} (5, 7) [5, 1, 2, 3, 6, 9, 8, 7] {4, 5} (7, 5) [7, 8, 9, 6, 3, 2, 1, 5] {7, 10, 11} (5, 8) [5, 1, 2, 3, 6, 10, 11, 7, 8] {4, 5} (8, 5) [8, 7, 11, 10, 6, 3, 2, 1, 5] {8, 9} (5, 9) [5, 1, 2, 3, 6, 10, 11, 7, 8, 9] {4, 5} (9, 5) [9, 8, 7, 11, 10, 6, 3, 2, 1, 5] {9} (5, 10) [5, 1, 2, 3, 6, 9, 8, 7, 11, 10] {4, 5} (10, 5) [10, 11, 7, 8, 9, 6, 3, 2, 1, 5] {10} (5, 11) [5, 1, 2, 3, 6, 9, 8, 7, 11] {4, 5} (11, 5) [11, 7, 8, 9, 6, 3, 2, 1, 5] {10, 11} (6, 7) [6, 10, 11, 7] {1, 2, 3, 4, 5, 6, 9} (7, 6) [7, 11, 10, 6] {7, 8} (6, 7) [6, 9, 8, 7] {1, 2, 3, 4, 5, 6, 10} (7, 6) [7, 8, 9, 6] {7, 11} (6, 8) [6, 10, 11, 7, 8] {1, 2, 3, 4, 5, 6} (8, 6) [8, 7, 11, 10, 6] {8} (6, 9) [6, 10, 11, 7, 8, 9] {1, 2, 3, 4, 5, 6} (9, 6) [9, 8, 7, 11, 10, 6] {9} (6, 10) [6, 9, 8, 7, 11, 10] {1, 2, 3, 4, 5, 6} (10, 6) [10, 11, 7, 8, 9, 6] {10} (6, 11) [6, 9, 8, 7, 11] {1, 2, 3, 4, 5, 6} (11, 6) [11, 7, 8, 9, 6] {11} 101
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Raport de cercetare - lucrare în e
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2. Scop şi obiective Scopul proiec
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abordare integrată în căutarea r
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• cu acces parţial restricţiona
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2007A1. Planificarea activităţilo
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2 Y = 0.852 -1 =a+bX -1 (Y -1 -a-bX
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PCB128 136.38 -3.4116 0.7761 PCB129
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ISDmsHt lADrtHg Y Equation Residue
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Page 19 and 20:
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Tabelul următor prezintă sintetic
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d_RSD INF 2.6057 d_Volum Matricea p
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30 1.02 0.63 1.75 2.67 160 31 1.14
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Matricea valorilor coeficientului d
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evaluare sistematică pentru identi
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introductivă în subiectul prezent
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Studio (al companiei Accelrys) a pe
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Setting the weights equal to 1 give
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÷ Lucrare: Quantitative structure-
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compound ranking in the database. A
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vectors based on the cloning strate
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"Recent Advances in Synthesis and C
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will be highly inactive, moderately
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Publication Frequency: 8 issues per
Page 49 and 50: of strand breaks and when they do o
Page 51 and 52: ibonucleotide reductase Journal of
Page 53 and 54: scenarios are to be compared, e.g.
Page 55 and 56: hydrazones • ligand-based drug de
Page 57 and 58: modalitatea de culegere, colectare
Page 59 and 60: ÷ Transversală: studierea unui e
Page 61 and 62: 9 10 12 8 1 4 3 2 2 15 8 5 4 3 4 8
Page 63 and 64: 2 1 1 2 3 2 0 1 4 3 2 2 5 4 2 0 6 5
Page 65 and 66: 10 1 0 1 0 1 1 1 1 0 1 0 11 0 0 0 1
Page 67 and 68: 12 0 0 0 1 0 0 L12 Factori (nivele)
Page 69 and 70: 3 1 ×2 4 A(3) B(2) C(2) D(2) E(2)
Page 71 and 72: 9 8 0 2 2 2 1 1 10 9 1 2 1 1 0 0 11
Page 73 and 74: 7 1 4 1 1 2 4 8 2 2 3 4 1 1 9 3 2 1
Page 75 and 76: 1 0 0 0 0 0 0 0 0 0 0 0 0 2 1 0 0 0
Page 77 and 78: 11 10 9 9 4 11 12 11 8 10 3 13 13 1
Page 79 and 80: ÷ Endorelaţie binară (`2-e-r`):
Page 81 and 82: muchiei e); ponderile pentru vârfu
Page 83 and 84: ale grafului; între numărul de fe
Page 85 and 86: Detur d5,1=3; d5,2=3; d5,3=2; d5,4=
Page 87 and 88: 3 1 024220000 1145 4 0 022100222 11
Page 89 and 90: o ΣA(·) 2 : 231; o Matricea: De 1
Page 91 and 92: (10, 3) [10, 6, 3] {7, 10, 11} (3,
Page 93 and 94: 11 0.250 0.333 0.333 0.333 0.250 0.
Page 95 and 96: (5, 11) [5, 1, 2, 3, 6, 9, 8, 7, 11
Page 97 and 98: (1, 11) [1, 2, 3, 6, 10, 11] {1, 4,
Page 99: (9, 11) [9, 8, 7, 11] {1, 2, 3, 4,
Page 103 and 104: 6 0.167 0.167 0.167 0.167 0.167 0.0
Page 105 and 106: 5 0.500 0.500 0.500 0.500 0.000 0.3
Page 107 and 108: Tabelul 10. Matricea caracteristic
Page 109 and 110: 10 6 7 8 9 10 11 11 6 7 8 9 10 11 6
Page 111 and 112: Astfel, adaptând principiul I al t
Page 113 and 114: Din formula sa de definiţie dS = d
Page 115 and 116: produsul final al întregului lanţ
Page 117 and 118: Tabelul 16. Cât de dulci sunt zaha
Page 119 and 120: ÷ CSLS; ÷ Cyberlipid Center; ÷ D
Page 121 and 122: ÷ STING Millenium Suite; ÷ wwPDB;
Page 123 and 124: pentru care algoritmul performează
Page 125 and 126: scopul maximizării randamentului d
Page 127 and 128: solului, calitatea vremii, manageme
Page 129 and 130: Fragmentation criteria Fragment of
Page 131 and 132: o Se încrucişează Genotip1 cu Ge
Page 133 and 134: Measures of Disease in Health Resea
Page 135 and 136: Generarea întâmplătoare stratifi
Page 137 and 138: Functional Networks Noelia Sánchez
Page 139 and 140: o SVMs application to protein secon
Page 141 and 142: Meta-learning for Algorithm Recomme
Page 143 and 144: Similarity Assessment with PDR-FP
Page 145 and 146: • Representations of a molecular
Page 147 and 148: Introduction - Non HTS Hit Recognit
Page 149 and 150: Post-processing: Visual Inspection
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PCB013 146.55 -2.7348 0.3315 0.3241
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PCB113 136.08 -3.2367 0.5862 0.5861
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Regression 1 6.730776811 6.730777 7
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Metoda Formula intervalului de înc
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1.2 1 0.8 0.6 0.4 0.2 Metoda ArcS 0
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Metoda AvADA(0) AvADA(1) AvADS(0) A
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12 11.01 9.99 10 8 6 4 2 0 6 5 4 3
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Planificarea activităţilor experi
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o Generalized functions; o Operator
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approaches of QSAR modeling o Sessi
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Bookhaven pe care o transferă prog
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1.21739507388622E+000 y= 7.38149868
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20 020_3613389 7.783 -1.627 5.661 0
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} function atom_info($atom,&$cnv_to
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}else{ } } $this->tmp_dist=array();
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} } return "({".implode(",",$this->
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if($this->p12_2) $this->f[57] =$thi
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$fr_f_t=pow(pow($fr_f_x,2)+pow($fr_
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} } $this->f[$a]=$ret; } Interacţi
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÷ 2 tipuri de selecţii ale valori
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} $ret[$j][$k]=array(0.0,0.0,0.0,0.
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if(!$q){ } echo($query." :ERROR!\r\
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} unset($a); $query="INSERT INTO `"
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$ok=$this->check_finite();if(!$ok)r
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$q=mysql_query($query_prop."'".$mdf
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2005-RIMC; Jäntschi & Bolboacă, 2
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0.918 0.9 5 14 23110_ 69 332064 837
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0.9665 0.9525 4 30 33504 73 r = 0.9
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20 41521_ lNMrEQg*0.336843860556055
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54 DevMTOp25_ y=1.893045064859439+
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82 19654_ lIDRFMg*-1.31755354516111
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y=3.463929176330566+ ABDmtQg*-13.01
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iBMmwHg*1195.781250000000000+ iFPME
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161 15aacidsHyd_ lSDmwMt*6.37250438
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Relaţii semicantitative structură
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MDFV (Jäntschi şi Bolboacă, 2008
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SAPF (©2009) CF:3 DO:2 AP:5 DP:6 P
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N0) fenotipurilor între generaţii
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adevăr (T/F) pentru fiecare operat
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S5 String[255] Şir de maxim 255 ca
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end; with(MDF)do repeat CF_Rs;SA_Fr
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sfs_FITNESS_strategy= proportional/
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parametrul statistic descriptiv mx
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d_n:S9; Variabilă folosită la pen
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(s:S9):B0T; configurare a execuţie
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; ÷ mută părinţi cu probabilita
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procedure SL_QSr (i,j:I0T); procedu
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XX_min = XX_max = XX_avg = XX (XX =
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$p_max[$i]=1.0*$m-1.0*$m*$tdist->_g
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$d[$i][$k++]=$c[$i][$j]; for($i=0;$
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for($i=0;$i
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mat_means($n,$m,$y,$x,$ma,$mb); red
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} if(strlen($s)>0) $t[]=$s; return
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este necesar ca să se asume ipotez
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6(( b − a + 1) Asimetria; excesul
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Minim; Maxim 0; ∞ Funcţia de pro
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Varianţa Var γ1 (nX-1)σ 2 /nX 2
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Σ1≤i≤m(Ŷi-Yi) 2 → min. (3)
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Tabelul 24. Valorile optimizate ale
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eroare m(n-1) 2 m ⎛ n ⎛ n ⎞
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http://l.academicdirect.ro/Chemistr
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73 la convergenţă folosind un alg
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Cl(n) Cl (n) PCBs: Seria bifenililo
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PCB027 Cl Cl Cl 5.447 PCB028 Cl Cl
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PCB071 Cl Cl Cl Cl 5.987 PCB072 Cl
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PCB110 Cl Cl Cl Cl Cl 6.532 PCB111
Page 287 and 288:
PCB151 Cl Cl Cl Cl Cl Cl 6.647 PCB1
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PCB191 Cl Cl Cl Cl Cl Cl Cl 7.557 P
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O altă remarcă se poate face cu p
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al eşantionului pe care o induc me
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PmkEt 1 26 26 sDDJEg 1 26 26 MDDKHt
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86 Abateri semnificative statistic
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Generaţii ce produc evoluţii (num
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Rar (D, P) (D, T) Figura 2. Cât de
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2010A5. Construirea bazei de date c
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Portalul "MDF" Portalul "Statistics
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(Bolboacă & Jäntschi, 2007-AAHS):
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Environment, Applied Medical Inform
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AcademicDirect, ISSN 1583-1078, www
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Observable: Maximum Likelihood Esti
Page 315 and 316:
and Veterinary Medicine Cluj-Napoca
Page 317 and 318:
Relative Response Factor using Mole
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