problems 1 to 457

Techniques in Aquatic Toxicology Volume II - Section 4 ppt

... 1, 3–26, 19 55 Copyright © 2005 by Taylor & Francis Ostrander / Techniques in Aquatic Toxicology L1664_c032 Final Proof page 587 21. 12.2004 6 :19 am 10 7 10 8 10 9 11 0 11 1 11 2 11 3 11 4 11 5 11 6 11 7 11 8 ... motionless’’ References (10 2) (11 0) (11 1) (11 2) (11 3) (11 4) (11 5) (11 6) (10 7) Water quality Acidification Acidification Avoidance behavior(s) (11 7) Female reproductive behavior, nest (11 8) digging Ammonia ... (mmol/l) Concentration (mmol/l) * 16 8 * 1. 8 1. 7 1. 6 1. 5 * 16 6 16 4 16 2 16 0 15 8 15 6 15 4 1. 4 15 2 20 40 60 80 10 0 20 Oxygen saturation (%) 40 K+ 80 10 0 80 10 0 Glucose 16 0 * 14 0 * * Concentration (mg/dl)...

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Báo cáo khoa học: "Assessment of six mortality prediction models in patients admitted with severe sepsis and septic shock to the intensive care unit: a prospective cohort study" ppt

Danh mục: Báo cáo khoa học

... Customized MPM II24 21 1.78 19 .22 17 21 2.65 18 .35 17 21 3.90 17 .10 14 21 4.87 16 .13 14 21 7 .12 13 .88 19 21 7.68 13 .32 19 21 10.90 10 .10 14 21 10.74 10 .26 14 21 13.32 11 7.68 10 21 12.69 11 8. 31 ... 8.96 12 12 .04 21 11. 57 10 9.43 11 21 11. 50 10 9.50 11 21 14.85 17 6 .15 21 14.08 17 6.92 20 16 .19 14 3. 81 20 15 .18 14 4.82 20 17 .19 14 2. 81 20 16 .17 14 3.83 20 18 .18 16 1. 82 20 17 .25 16 2.75 10 ... 25 1. 45 23.55 22 21 2.40 18 .60 20 25 3.78 21. 22 19 21 4.98 16 .02 18 25 6.45 10 18 .55 15 21 7. 21 13.79 12 25 9.60 13 15 .40 12 21 9.93 11 11 .07 10 25 13 .47 18 11 .53 21 12.49 12 8. 51 25 16 .97 18 ...

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PSYCHOSOCIAL DETERMINANTS OF INTENTIONAL AND UNINTENTIONAL NONADHERENCE IN PATIENTS UNDERGOING AUTOMATED PERITONEAL DIALYSIS AND CONTINUOUS AMBULATORY PERITONEAL DIALYSIS

Danh mục: Kỹ thuật

... 7% HD :19 % / 31% / 19 % PD:30% / 4% / 10 % 17 % 12 % / 5% 30% 4%/8% /18 %/22% 30% 35% 40% 22% Dialysis 25% 17 % HD / CAPD: 27% / 2% 30% / 21% Medication % NA 20 62% 77 .1% Diet Nonadherence to Dialysis ... al., 19 94 12 1 CAPD USA 64 PD 19 1 PD 19 APD Italy Italy 17 3 CAPD Hong Kong Russo et al., 2006 11 9 HD 51 PD USA 42 APD 75 HD, 14 CAPD USA Juergensen et al., 2004 39 HD, 15 PD 67 / 26 CAPD 30 PD Israel ... 10 2 Clinical Recommendations 11 4 Study Strengths and Limitations 11 6 Future Studies 11 8 Chapter Five 12 0 Conclusion 12 0 References...

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DERMAL ABSORPTION MODELS IN TOXICOLOGY AND PHARMACOLOGY doc

Danh mục: Sức khỏe giới tính

... (μm) 12 .97 23.36 36.76 27. 41 21. 16 22.47 33.59 29 .11 26.87 17 .14 13 .32 9.73 51. 89 46.76 10 .85 15 .14 21. 66 11 .58 ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± 0.93 10 .17 2.95 2.62 2.55 2.40 2 .16 5.03 3 .14 ... ± 1. 02 0.95 1. 17 0.56 0.85 1. 92 1. 04 1. 07 2.30 0.40 0 .12 0.30 0.72 1. 91 0.37 0.79 0.85 0. 61 Number of Cell Layers 1. 28 2.06 2.22 2.39 1. 89 2.33 2.50 2.89 2.67 2.08 1. 75 1. 75 3.94 4.47 1. 22 1. 50 ... 1. 22 1. 50 1. 83 1. 44 ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± ± 0 .13 0.73 0 .11 0 .13 0 .16 0 .12 0.25 0.44 0.24 0.08 0.08 0.25 0 .13 0.37 0 .11 0 .11 0 .17 0 .19 Note: Parafﬁn sections stained with hematoxylin...

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Báo cáo khoa học: "Integrating surprisal and uncertain-input models in online sentence comprehension: formal techniques and empirical results" pdf

Danh mục: Báo cáo khoa học

... → NN 1. 000000 0.003257 0. 012 289 0.0 417 53 0.9427 01 1.000000 1. 000000 0.00 214 9 0.202024 0.393660 0.028029 0.0057 31 0.2224 41 0 .14 5966 1. 000000 0.274566 0.047505 0 .10 119 8 0.045082 0. 412 192 0 .11 9456 ... from j to j for each word w′ in him/0.050 him/0.050 him /1. 000 hit/0.050 hit/0.050 hit /1. 000 ǫ/0.063 it/0 .13 5 it/0 .13 5 it/0.467 hit/0.428 it /1. 000 him/0 .15 8 hit/0 .17 2 him/0.063 ǫ/0.0 21 it/0 .15 8 Figure ... probability (Hale, 20 01) : log P (I1 i 1 ) = log P (I1 i |I1 i 1 ) P (I1 i ) (III) Since our uncertain inputs I1 k are encoded by a WFSA, the probability P (I1 k ) is equal to the partition function...

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Báo cáo lâm nghiệp: "A comparison of fitting techniques for ponderosa pine height-age models in British Columbia" potx

Danh mục: Báo cáo khoa học

... 13 .38 11 8 10 5 22.76 13 .74 12 8 11 4 24.78 13 .65 38.24 21. 22 12 0 10 8 25. 71 13. 21 112 99 22.53 13 .17 11 9 10 6 23. 71 13.33 27. 51 16.26 83 74 13 . 01 5. 01 84 77 14 .74 8.99 83 74 13 . 01 5. 01 39. 51 21. 61 ... Total age (yrs) 6 6 12 3 10 7 22 .19 12 .36 12 2 11 3 95 22.80 12 .53 12 1 10 4 90 18 .40 9. 41 98 15 6 14 2 24.85 14 .57 14 8 Breast height age (yrs) BG Character 11 4 11 5 87 14 0 Height (m) Site index (m) Total ... (0.0 918 ) 1. 438 (0. 016 5) 0.9579 (0.0 311 ) 8. 519 (0 .13 2) 1. 385 (0. 017 8) 0.8498 (0.0472) 0 .14 29 (p < 0.00 01) 1. 476 0.9578 (p < 0.00 01) 0.848 –0.005554 (p = 0.58) 0. 410 2 0.9934 (p < 0.00 01) 0.553 0. 017 57...

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Nanog in the twin fish models medaka and zebrafish functional divergence or pleiotropy of vertebrate pluripotency gene

Danh mục: Cao đẳng - Đại học

... MBT to 24 hpf Dose-dependent phenotypes caused by MO1 knockdown Phenotypes caused by Zng MO knockdown Zng knockdown leads to gastrulation defects 11 0 11 3 11 3 12 4 12 5 12 6 12 7 12 8 13 0 13 1 13 2 13 3 ... Nanog Nanog mRNA is confined to pluripotent/multipotent cells 19 Table 1- 1 Summary of nanog expression pattern Fig 1- 4 Fig 1- 5 Fig 1- 6 Fig 1- 7 Fig 1- 8 Fig 1- 9 Fig 3 -1 Fig 3-2 Fig 3-3 Fig 3-4 Fig ... 4h5 to 5h15 min; Blastula Period: from 10 00 cells, 6h30 to h15 min,; Gastrula Period: 10 h20 -21h; Neurula Period: day1h -1 day2 h, head formation, optic bud formation; Segmentation Period: 1day 3h-4day5h,...

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Tìm hiểu kỹ thuật lai huỳnh quang tại chỗ FISH (Florescence In Situ Hybridization) trên vi sinh vật

Danh mục: Sinh học

... hiệu 11 CHƯƠNG NHỮNG TRỞ NGẠI ĐỐI VỚI KỸ THUẬT FISH 14 4 .1 Kết không xác 14 4 .1. 1 Các chất tự phát huỳnh quang 14 4 .1. 2 Đầu dò thiếu tính đặc hiệu 15 4.2 Kết âm ... Microbiol Rev 59, 14 3 16 9 [11 ] Amann, R., 19 96 In situ visualization of high genetic diversity in a natural microbial community J Bacteriol 17 8, 3496–3500 [12 ] Ardern, E., 19 14 Experiments of ... 62, 213 8– 214 4 [7] Amann, R., 19 90a Combination of 16 S rRNA-targeted oligonucleotide probes with flow cytometry for analyzing mixed microbial populations Appl Environ Microbiol 56, 19 19 19 25 [8]...

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Tài liệu TOWARDS AUTOMATED SOFTWARE TESTING TECHNIQUES, CLASSIFICATIONS AND FRAMEWORKS doc

Danh mục: Kỹ thuật lập trình

... 17 3 11 CONCLUSIONS 11 .1 SUMMARY OF RESEARCH RESULTS 11 .1. 1 Contextual setting 11 .1. 2 Effectiveness results xiv 17 5 17 5 17 5 17 6 11 .1. 3 ... 15 3 10 .1. 1 Related work 15 5 10 .2 EXPERIMENTAL SETUP 15 8 10 .3 RESULTS 16 2 10 .3 .1 Object message ... 15 0 9.3.7 Automated test ﬁxture creation 15 1 9.4 CONCLUSION 15 1 10 DEDUCING GENERALLY APPLICABLE PATTERNS FROM OBJECTORIENTED SOFTWARE 15 3 10 .1...

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Tài liệu OCCASIONAL PAPER SERIES NO 64 / JULY 2007: THE USE OF PORTFOLIO CREDIT RISK MODELS IN CENTRAL BANKS doc

Danh mục: Ngân hàng - Tín dụng

... -20.07 -17 .84 -44.84 -6.24 99.99 -17 .88 -16 .73 -1. 69 -20.38 +18 .11 +16 .63 -12 . 41 -19 .63 99.00 -23.38 -16 .92 -30.85 -16 .20 -12 .09 +1. 59 -17 .63 -7 .12 99.90 -14 .29 -17 .18 - 21. 84 -16 .05 +7. 61 -0.66 ... 0.025 0.000 0.200 0 .17 5 0 .15 0 0 .12 5 0 .10 0 0.075 0.050 0.025 0.000 10 .00 1. 00 0 .10 Default likelihood Obligor #1 0. 01 0. 01 0 .10 1. 00 Expected shortfall 15 15 10 10 5 10 .00 Default likelihood Obligor ... percentage of portfolio market value, logarithmic scale) CB1 CB2 CB3 CB4 CB5 VaR ES 10 0 10 0 10 0 10 10 10 10 1 1 10 0 0 .1 0 .1 0. 01 99.00 99.90 0. 01 99.99 deviation of the binomial distribution increases...

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Tài liệu Marketing Research Methods in SAS - Experimental Design, Choice, Conjoint, and Graphical Techniques docx

Danh mục: Tiếp thị - Bán hàng

... 36, 3); D (10 2, 51, 3); D(60, 21, 4); D (11 2, 64, 4); D(30, 15 , 5); D(35, 17 , 5); D(40, 25, 5); D(55, 17 , 5); D(60, 25, 5); D(65, 25, 5); D(85, 35, 5); D(60, 11 , 6); D(84, 16 , 6); D(35, 11 , 7); D(63, ... example, the (1, 1) entry in Y is y 11 = a 11 × b 11 + a12 × b12 = = × + × The rank of Y is q ≤ M IN (n, m) The rank of a matrix is the minimum number of dimensions that are required to represent ... 11 51 %MktPPro Macro Notes 11 52 %MktRoll Macro 11 53 %MktRoll Macro Options 11 57...

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Tài liệu Implementing Models in Quantitative Finance: Methods and Cases docx

Danh mục: Kế toán - Kiểm toán

... inversion (system (1. 10)) Numerical inversion (system (1. 11) ) Direct substitution Execution time (s) 11 .8 61 13.349 0 .10 1 F1 (X1 ) = 3X1 − 2X1 = U1 , F2 (X2 |X1 ) = X2 (1 − X1 ) 1 = U2 (1. 10) The alternative ... resulting system (1. 8) If f = f1 (x1 )f2 (x2 |x1 ), the marginal c.d.f is: x1 F1 (x1 ) = f1 (y1 ) dy1 1 y1 x1 = 0 fX1 ,X2 (y1 , y2 ) dy2 dy1 = 3x1 − 2x1 , where ≤ x1 ≤ and condition [0, − y1 ] y2 ∈ deﬁnes ... (x2 )f1 (x1 |x2 ) leads to: F2 (X2 ) = − (1 − X2 )3 = U1 , F1 (X1 |X2 ) = X1 (1 − X2 )−2 = U2 (1. 11) We note that (1. 10) is difﬁcult to solve whereas (1. 11) is statistically equivalent to (1 −...

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Tài liệu Báo cáo khoa học: "Mixing Multiple Translation Models in Statistical Machine Translation" docx

Danh mục: Báo cáo khoa học

... summarized in Table Dataset Sents EMEA Europarl Dev Test 11 770 1. 3M 15 33 15 22 Words French English 16 8K 14 4K 40M 37M 29K 25K 29K 25K Table 1: Training, dev and test sets for EMEA For the mixture ... papers - Volume 2, HLT 11 , pages 17 6 18 1 ACL P Clarkson and A Robinson 19 97 Language model adaptation using mixtures and an exponentially decaying cache In Proceedings of the 19 97 IEEE International ... 2 011 ), with the standard deviations in brackets lowest score among the mixture operations, however after tuning, it learns to bias the weights towards one of the models and hence improves by 1. 31...

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Tài liệu Báo cáo khoa học: "Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System" doc

Danh mục: Báo cáo khoa học

... user state Ut is updated to Ut +1 according to a deterministic ˜ distribution Pr(Ut +1 | St +1 , Ut , At , At ) The system outputs the next system action St +1 according to its dialog management ... Pr(At | St , Ut ; θ) parameterized by a vector θ Based on the number user actions, system actions, and user states, θ is a vector of (13 − 1) × 14 × = 13 44 unknown parameters for our target application ... (0) , θ (1) , converges to a stationary point estimate of θ ∗ that is usually a local maximum Target Application To test the method, we applied it to a voicecontrolled telephone directory This...

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Tài liệu Báo cáo khoa học: "Automated Vocabulary Acquisition and Interpretation in Multimodal Conversational Systems" pptx

Danh mục: Báo cáo khoa học

... (0 .10 8) 13 (0 .11 2) * (0 .10 9) 16 (0.099) 28 (0.085) (0 .11 8) 28 (0 .13 4) (0.226) 23 (0 .13 1) 26 (0 .10 0) (0 .15 3) 12 (0 .13 1) 19 (0 .11 8) 20 (0 .11 1) * (0.203) (0 .13 7) * (0.085) 11 (0 .13 7) Rank (0 .12 1) ... (0. 215 ) 22 (0 .13 9) (0.262) * 22 (0 .18 1) 22 (0. 218 ) 12 (0 .18 8) 10 (0 .13 8) (0 .14 1) * 22 (0 .14 1) (0. 219 ) 16 (0 .14 8) * (0.290) * (0 .13 7) Rank (0 .13 3) 24 (0 .13 1) 17 (0.093) * 13 (0 .17 3) * 22 (0 .13 6) ... (0 .11 7) 25 (0.093) (0 .10 4) 19 (0 .13 6) * 24 (0 .10 6) 22 (0 .10 7) 13 (0.0 81) 10 (0.074) 24 (0.082) (0.083) 24 (0 .13 1) (0.045) 28 (0 .11 7) 13 (0.062) (0 .10 4) * (0 .12 1) (0 .11 8) 28 (0.090) (0 .18 8) 15 ...

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Tài liệu OPTIMAL CONTROL MODELS IN FINANCE pdf

Danh mục: Ngân hàng - Tín dụng

... during the time period 1, 0 31 31 32 32 33 34 35 87 87 88 11 0 11 2 11 3 11 6 11 7 11 9 12 3 12 3 This page intentionally left blank List of Tables 2 .1 2.2 3 .1 3.2 4 .1 4.2 4.3 5 .1 5.2 5.3 5.4 Objective ... Sample Test Problem 16 1 16 1 16 3 16 7 17 5 18 1 18 3 18 9 19 1 References 19 3 Index 19 9 This page intentionally left blank List of Figures 2 .1 2.2 2.3 2.4 2.5 2.6 2.7 3 .1 3.2 3.3 5 .1 5.2 5.3 5.4 5.5 5.6 ... ut =1, 0 Plot of n=4, forcing function ut =1, 0 ,1, 0 Plot of n=6, forcing function ut= 1, 0 ,1, 0 ,1, 0 Plot of n=8, forcing function ut= 1, 0 ,1, 0 ,1, 0 ,1, 0 Plot of n =10 , forcing function ut= 1, 0 ,1, 0 ,1, 0 ,1, 0 ,1, 0...

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Báo cáo khoa học: "The use of formal language models in the typology of the morphology of Amerindian languages" potx

Danh mục: Báo cáo khoa học

... reﬂexive 11 0 11 1 Actor λ λ q4 M odII q8 λ q3 M odIIO q6 T r3λ |Ref lλ T r2λ P asλ P asλ P asλ q20 q 11 q9 q10 Ag23 O2 q 21 F ut Ag123 F ut Ag13 F ut q15 P lO2 Cond q16 Gen q17 T op q18 Figure 1: Schema ... Rosenberg 19 67 A Machine Realization of the linear Context-Free Languages Information and Control, 10 : 17 7 -18 8 Richard Sproat 19 92 Morphology and Computation The MIT Press 11 3 11 4 q0 q1 Caus q2 ... Mathematics, Volume 58, Issue 1, pp 1- 18 Joos Heintz y Claus Sch¨ nig 19 91 Turcic Morpholo ogy as Regular Language Central Asiatic Journal, 1- 2, pp 96 -12 2 C Douglas Johnson 19 72 Formal Aspects of Phonological...

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Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt

Danh mục: Báo cáo khoa học

... words w1 = (w1 wm ), a standard forward n-gram language model assigns a m m probability Pf (w1 ) to w1 as follows m Pf (w1 ) = m ∏ i 1 P (wi |w1 ) ≈ m ∏ i 1 P (wi |wi−n +1 ) (1) i =1 i =1 where ... L(wk w1 ) = wk wk−n+2 , if k ≥ n wk w1 , otherwise { R(wk w1 ) = wn 1 w1 , if k ≥ n wk w1 , otherwise P(R(e2 )L(e1 )) P(R(e2 ))P(L(e1 )) P(R(e2 )L(e1 )) P(e1 e2 ) Value a1 a2 a3 b1 b2 b3 b2 b1 a3 ... → [A1 , A2 ] [A1 , i, k; L(e1 )|R(e1 )] : P(e1 ) [A2 , k + 1, j; L(e2 )|R(e2 )] : P(e2 ) P(R(e2 )L(e1 )) [A, i, j; L(e1 e2 )|R(e1 e2 )] : P(e1 )P(e2 ) P(R(e2 ))P(L(e1 )) A → ⟨A1 , A2 ⟩ [A1 ,...

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Báo cáo khoa học: "Improving On-line Handwritten Recognition using Translation Models in Multimodal Interactive Machine Translation" docx

Danh mục: Báo cáo khoa học

... translation 19 (2):263– 311 [Foster et al .19 98] G Foster, P Isabelle, and P Plamondon 19 98 Target-text mediated interactive machine translation Machine Translation, 12 :17 5 19 4 [Guyon et al .19 94] Isabelle ... vs 10 .4% in Span- solider Ingenio 2 010 ” program (CSD2007-00 018 ), Also supported by ish), they tend to perform worse than their direct iTrans2 (TIN2009 -14 511 ) the Spanish MITyC under the erudito.com ... Girona (Spain), June [Toselli et al.2 010 ] A H Toselli, V Romero, M Pastor, and E Vidal 2 010 Multimodal interactive transcription of text images Pattern Recognition, 43(5) :18 14– 18 25 [Vidal et al.2006]...

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Implementing Models in Quantitative Finance: Methods and Cases ppt

Danh mục: Ngân hàng - Tín dụng

... inversion (system (1. 10)) Numerical inversion (system (1. 11) ) Direct substitution Execution time (s) 11 .8 61 13.349 0 .10 1 F1 (X1 ) = 3X1 − 2X1 = U1 , F2 (X2 |X1 ) = X2 (1 − X1 ) 1 = U2 (1. 10) The alternative ... resulting system (1. 8) If f = f1 (x1 )f2 (x2 |x1 ), the marginal c.d.f is: x1 F1 (x1 ) = f1 (y1 ) dy1 1 y1 x1 = 0 fX1 ,X2 (y1 , y2 ) dy2 dy1 = 3x1 − 2x1 , where ≤ x1 ≤ and condition [0, − y1 ] y2 ∈ deﬁnes ... (x2 )f1 (x1 |x2 ) leads to: F2 (X2 ) = − (1 − X2 )3 = U1 , F1 (X1 |X2 ) = X1 (1 − X2 )−2 = U2 (1. 11) We note that (1. 10) is difﬁcult to solve whereas (1. 11) is statistically equivalent to (1 −...

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