7 computational methods for nonspherical particles
computational methods for multiphase flow
Ngày tải lên :
01/04/2014, 10:46
... Immersed boundary methods for fluid interfaces 37 G Tryggvason, M Sussman and M.Y Hussaini Structured grid methods for solid particles 78 S Balachandar Finite element methods for particulate flows 113 ... models for multiphase flows 1 57 S Chen, X He and L.-S Luo Boundary integral methods for Stokes flows 193 J Blawzdziewicz Averaged equations for multiphase flow 2 37 A Prosperetti Point-particle methods ... the systems for which the methods described can be used The first part, consisting of Chapters 2 7, describes methods suitable for the detailed solution of the Navier–Stokes equations for typical...
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computational methods for protein folding
Ngày tải lên :
11/04/2014, 01:33
... 32 .75 24.16 32.99 23.60 33.15 10 .73 8.33 36.12 38.45 23.04 27. 98 19.22 31.34 22.34 29.45 45.66 43 .77 58.92 51.59 42.34 49. 67 38.30 45.88 48.43 75 .26 70 .29 73 .23 79 .38 76 .71 77 .62 75 .24 71 .79 71 .23 ... 44.23 4.00 37. 38 11. 47 37. 00 22.00 40.63 23.32 4.10 2.88 24.28 8.98 16. 87 15 .79 8.84 18.93 23.51 6.80 pa 67. 42 80.03 69.92 75 .22 69.92 78 .54 79 .10 70 .25 73 .39 71 .95 66 .71 73 .36 72 .14 75 .48 73 .91 qe ... 1.56 b 13 .75 15.00 33.98 31 .73 31 .73 17. 91 24.64 21.43 11 .76 35.80 22.55 16. 67 27. 78 30.85 20.41 27. 78 38.20 22.58 35.82 31 .76 30.65 45.31 o 73 .75 72 .50 42 .72 41.35 41.35 4.48 4.35 18. 37 37. 65 29.63...
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computational methods for nanoscale applications, 2008, p.543
Ngày tải lên :
04/06/2014, 14:52
... of Canada Ottawa, Ontario Canada ISBN: 978 -0-3 87- 7 477 7-4 e-ISBN: 978 -0-3 87- 7 477 8-1 DOI: 10.10 07/ 978 -0-3 87- 7 477 8-1 Library of Congress Control Number: 20 079 35245 c 2008 Springer Science+Business ... 389 7. 9.2 The Role of Polarization 390 XVI Contents 7. 9.3 7. 9.4 7. 9.5 7. 9.6 7. 10 7. 11 7. 12 7. 13 7. 14 7. 15 Accuracy of the Fourier Expansion 391 FEM for ... Ewald Methods 2 67 5.4.5 Particle–Particle Particle–Mesh Ewald Methods 269 5.4.6 The York–Yang Method 271 5.4 .7 Methods Without Fourier Transforms...
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Báo cáo hóa học: " Research Article Computational Methods for Estimation of Cell Cycle Phase Distributions of Yeast Cells" docx
Ngày tải lên :
22/06/2014, 19:20
... computational methods for estimation of the cell cycle phase distribution of a yeast cell population The FACS-based method is presented in Section 2.1, and the image analysis methods needed for ... proposed earlier [7] Existing deconvolution methods such as the ones published in [6, 7] can benefit from our automated distribution estimation methods 8 EURASIP Journal on Bioinformatics and Systems ... some extent CONCLUSIONS Two computational methods for estimating the cell cycle phase distribution of a budding yeast (S cerevisiae) cell population were presented The methods are based on the analysis...
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Computational Methods for Protein Structure Prediction and Modeling Volume 1: Basic Characterization pot
Ngày tải lên :
27/06/2014, 10:20
... Empirical Force Fields Alexander D MacKerell, Jr Knowledge-Based Energy Functions for Computational Studies of Proteins Xiang Li and Jie Liang 45 71 Computational Methods for Domain ... tools and the expectation for robust methods for structure prediction Similar to other fields of bioinformatics, structural bioinformatics is a rapidly growing science New computational techniques ... Houston, Texas 77 030 Xiang Li and Department of Bioengineering Department of Bioengineering Rice University University of Illinois at Chicago Houston, Texas 77 005 Chicago, Illinois 606 07- 7052 Alexander...
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Development of database and computational methods for disease detection and drug discovery
Ngày tải lên :
10/09/2015, 09:04
... 23 76 .7% 0.33 41.8 SVM[114] 2.986M 2351 0. 076 % 81 57 0. 27% 1833 78 .0% 22.5% 296 SVM[114] 2.986M 225 0.0 07% 160 0.0054% 118 52.4% 73 .8% 10543 SVM[114] 2.986M 37 0.0012% 299 0.01% 23 62.2% 7. 7% ... 17~ 625 18% ~50% 0.49%~ 2.8% 3.51~18 .7 ~0.45% 91~155 0.026% 73 17~ 4316 2.1%~12.3% 30~980 33% ~72 % 0.41% ~2.9% 4.86~ 17. 6 ~0.45% 91~155 0.026% 538~6692 0.16%~1.9% 14~406 6% ~32% 1.1% ~10.2% 7. 77~ 98 ... 375 ~4.5K 0.28%~3% 5~231 2%~ 30% 0.11%~ 17% 4~66 2.5K~11K 0.1%~0.45% 18~25 55%~ 81% 0.2%~ 0 .7% 110 ~79 5 ~0. 07% 1.7K 1% 26 ~70 22%~ 55% 1.5%~ 4.1% 22~55 259~ 0.26%~ 984 1% 131 ~71 0 44%~ 69% 14%~ 72 %...
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Computational methods for identifying conserved protein complexes between species from protein interaction data
Ngày tải lên :
01/10/2015, 17:27
... complexes) complexes COCIN 71 36 50 .7% 42 32 76 .2% CMC 1202 145 12.1% 42 23 54.8% HACO 1040 69 6.6 % 42 17 40.5% MCL 3 87 37 9.6% 42 11.9% 39 Table 4.6 - Comparisons of different methods on human data ... (version Nov 13, 2012) 5 276 18834 Biogrid (version 3.2.95, Nov 30, 2012) 5886 73 923 IntAct Biogrid 6332 8 377 7 IntActBiogrid 4620 8930 ICDScore(IntAct Biogrid) 5239 71 636 Table 4.2 - Properties ... Contributions of the thesis A survey on computational methods for identifying conserved protein complexes between species: in this survey, computational methods for identifying conserved protein complexes...
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Computational methods for a phase field model of grain growth kinetics
Ngày tải lên :
03/10/2015, 21:56
... 38 4 .7 On Solving Large-Scale System of Equations: 39 4 .7. 1 Format for Sparse Matrix: 41 4 .7. 2 Sparse Matrix-Vector Multiplication in CSR Format: ... =0 i=1 Thus, for γ = β2 , f has infinitely many degenerate minima for Q > 1, located at the loci described by Q φ2i = i=1 α =1 β For Q=2, these loci form a circle, for Q=3 they form a sphere ... nonstationary Krylov Subspace Methods: These methods comes under the category of nonstationary iterative methods Unlike CHAPTER COMPUTATIONAL ALGORITHMS 40 in stationary methods these methods not have an...
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Computational methods for identifying conserved protein complexes between species from protein interaction data
Ngày tải lên :
03/10/2015, 21:56
... complexes) complexes COCIN 71 36 50 .7% 42 32 76 .2% CMC 1202 145 12.1% 42 23 54.8% HACO 1040 69 6.6 % 42 17 40.5% MCL 3 87 37 9.6% 42 11.9% 39 Table 4.6 - Comparisons of different methods on human data ... (version Nov 13, 2012) 5 276 18834 Biogrid (version 3.2.95, Nov 30, 2012) 5886 73 923 IntAct Biogrid 6332 8 377 7 IntActBiogrid 4620 8930 ICDScore(IntAct Biogrid) 5239 71 636 Table 4.2 - Properties ... Contributions of the thesis A survey on computational methods for identifying conserved protein complexes between species: in this survey, computational methods for identifying conserved protein complexes...
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Computational methods for identifying conserved protein complexes between species from protein interaction data
Ngày tải lên :
04/10/2015, 07:57
... complexes) complexes COCIN 71 36 50 .7% 42 32 76 .2% CMC 1202 145 12.1% 42 23 54.8% HACO 1040 69 6.6 % 42 17 40.5% MCL 3 87 37 9.6% 42 11.9% 39 Table 4.6 - Comparisons of different methods on human data ... (version Nov 13, 2012) 5 276 18834 Biogrid (version 3.2.95, Nov 30, 2012) 5886 73 923 IntAct Biogrid 6332 8 377 7 IntActBiogrid 4620 8930 ICDScore(IntAct Biogrid) 5239 71 636 Table 4.2 - Properties ... Contributions of the thesis A survey on computational methods for identifying conserved protein complexes between species: in this survey, computational methods for identifying conserved protein complexes...
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Development of computational methods for the rapid determination of NMR resonance assignment of large proteins
Ngày tải lên :
04/10/2015, 15:52
... information from various methods 67 Employment of more comprehensive statistical chemical shift values in determining amino acid types 68 References 69 Publications and poster presentations 77 ... Simulated-annealing methods 23 1.5.3 Constraint-based deterministic algorithms 24 1.5.4 Exhaustive searching 25 Chapter 27 Automated Backbone Resonance Assignment Using 4D NMR 27 2.1 Introduction 27 2.2 Theory ... et al., 1996; Gardner et al., 19 97) Therefore, a generally applicable program for the automated assignment of larger proteins should not rely on side-chain information in the initial sequential...
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Computational methods for structure activity relationship analysis and activity prediction
Ngày tải lên :
26/11/2015, 09:53
... Summary 75 75 77 87 upon Conditional Matrices 89 89 90 105 SAR Matrix-Derived 1 07 1 07 108 123 ... Information Systems, Inc., 14600 Catalina Street, San Leandro,CA 94 577 [10] Rogers, D.; Hahn, M Extended-Connectivity Fingerprints Journal of Chemical Information and Modeling 2010, 50, 74 2 75 4 ... 2010, 10, 130–1 37 [55] Anighoro, A.; Bajorath, J.; Rastelli, G Polypharmacology: Challenges and Opportunities in Drug Discovery Journal of Medicinal Chemistry 2014, 57, 78 74 78 87 [56] Hu, Y.;...
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Quantitative Methods for Business chapter 7 potx
Ngày tải lên :
06/07/2014, 00:20
... of eight ‘late night’ grocery shops are: Turnover (£000) Display area (m2) 7. 5 23 15 37 21 33 30 41 45 47 61 86 77 72 79 95 92 (a) Identify which variable is the dependent variable (Y ) (b) Plot ... 411 ϭ1Ϫ ϭ Ϫ 1.9 57 ϭ Ϫ0.9 57 210 rs ϭ Ϫ In Example 7. 6 the Spearman coefficient for the ranked data is very similar to the value of the Pearson coefficient we obtained in Example 7. 2 for the original ... rank Takings ($m) 2.2 0.8 7. 3 1.6 1.0 0.5 Calculate the Spearman correlation coefficient for these data and comment on its value 250 Quantitative methods for business 7. 7 There are eight electoral...
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Quantitative Methods for Ecology and Evolutionary Biology (Cambridge, 2006) - Chapter 7 pptx
Ngày tải lên :
06/07/2014, 13:20
... exponentials in Eq (7. 25) for m ! and show that you obtain our previous result If you have more energy after this, the same for the solutions of T(x) from Exercises 7. 5 and 7. 2 Before moving on, ... Exercise 7. 8 (E) pffiffiffi Make the transformation y ¼ x n so that the integral in Eq (7. 33) is the same as pffiffiffiffiffiffi 2p pffiffi 2 y dy exp À ð (7: 34) nðtÀsÞ The form of the integral in expression (7. 34) ... 7. 10) 1.4 Figure 7. 10 The generalized functions n(x) for n ¼ 1, 3, 5, 7, and 1.2 δn(x) 0.8 0.6 0.4 0.2 –5 –4 –3 –2 –1 x 264 Figure 7. 11 The spectrum of the covariance function given by Eq (7. 36)...
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Advanced Mathematical Methods for Scientists and Engineers Episode 1 Part 7 ppt
Ngày tải lên :
06/08/2014, 01:21
... as a synonym for a piecewise smooth curve See Figure 7. 1 for a smooth curve, a piecewise smooth curve, a simple closed curve and a non-simple closed curve (a) (b) (c) (d) Figure 7. 1: (a) Smooth ... modulus-argument form, f (z) = u(x, y) + ıv(x, y), or f (z) = u(r, θ) + ıv(r, θ), 246 -5 -2 y -1 -1 x -2 Figure 7. 7: Plots of (log z) and a portion of (log z) -3 -2 -1 -1 1.5 0.5 -2 0 -2 -3 Figure 7. 8: A ... corresponds to θ = π Polar Form 232 Solution 6. 17 We recall the Taylor series expansion of ex about x = ∞ ex = n=0 xn n! We take this as the definition of the exponential function for complex argument...
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Advanced Mathematical Methods for Scientists and Engineers Episode 2 Part 7 pdf
Ngày tải lên :
06/08/2014, 01:21
... 619 for |z| < − 1/2 = z−2 − z/2 ∞ = n=0 ∞ n = n=0 − z z , 2n+1 n for |z/2| < , for |z| < 1/z =− z−2 − 2/z =− z ∞ n=0 ∞ z n , 2n z −n−1 , =− for |2/z| < for |z| > n=0 −1 2−n−1 z n , =− n=−∞ 620 for ... (−ı2z)n , = ı2 for | − ı2z| < n=0 ∞ (−ı2)n+1 z n , =− for |z| < 1/2 n=0 1/z = z − ı/2 − ı/(2z) = z ∞ n=0 ∞ = n=0 −1 = n=−∞ ı 2z ı n ı n , for |ı/(2z)| < z −n−1 , for |z| < −n−1 zn, for |z| < −1 ... = zn, + z n=0 for < |z| < ∞ zn, = + z n=−1 623 for < |z| < (b) 1 = + z(1 − z) z 1−z 1 = − z z − 1/z = 1 − z z =− z ∞ n=0 z n , for |z| > ∞ z −n , for |z| > n=1 −∞ zn, =− n=−2 624 for |z| > (c)...
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Advanced Mathematical Methods for Scientists and Engineers Episode 3 Part 7 pps
Ngày tải lên :
06/08/2014, 01:21
... Equation Normal Form Hint 19.1 Transform the equation to normal form Transformations of the Independent Variable Integral Equations Hint 19.2 Transform the equation to normal form and then apply ... 19.5 Transform the equation to normal form 1034 19 .7 Solutions The Constant Coefficient Equation Normal Form Solution 19.1 y + 2+ x y + 24 + 12x + 4x2 y = To transform the equation to normal form we ... the form G(x|ξ) = c1 (x − a), c2 (x − b), for x ≤ ξ for x ≥ ξ Imposing continuity of G(x|ξ) at x = ξ and a unit jump of G(x|ξ) at x = ξ, we obtain G(x|ξ) = (x−a)(ξ−b) , b−a (x−b)(ξ−a) , b−a for...
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Advanced Mathematical Methods for Scientists and Engineers Episode 4 Part 7 docx
Ngày tải lên :
06/08/2014, 01:21
... perimeter = L2 4π L2 ≥ 4πA Now we determine the curves for which L2 = 4πA To this we find conditions for which A is equal to the upper bound we obtained for it above First note that ∞ ∞ n n=1 a2 n + b2 ... would like to write this problem in a form that can be used to obtain qualitative information about the problem First we will write the operator in self-adjoint form We divide by p2 since it is non-vanishing ... convergent in the mean For any fixed x, the sum converges to (f (x− )+f (x+ )) If f (x) is continuous and satisfies the boundary conditions, then the convergence is uniform 14 27 Result 29.2.1 Properties...
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Advanced Mathematical Methods for Scientists and Engineers Episode 5 Part 7 docx
Ngày tải lên :
06/08/2014, 01:21
... (x) = δ(x − ξ) cos b b Now we need to solve for the coefficients in the expansion of v(x, y) The homogeneous solutions for c0 (x) are e±ıkx The solution for u(x, y, t) must satisfy the radiation ... Wronskian of these two solutions is ı2k Thus the solution for c0 (x) is c0 (x) = e−ıkx< eıkx> ıbk We need to consider three cases for the equation for cn k > nπ/b Let α = k − (nπ/b)2 The homogeneous ... Cauchy problem for the backward heat equation ut + κuxx = 0, u(x, 0) = f (x) (39.1) well posed? Exercise 39.4 Derive the heat equation for a general dimensional body, with non-uniform density ρ(x),...
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Advanced Mathematical Methods for Scientists and Engineers Episode 6 Part 7 ppt
Ngày tải lên :
06/08/2014, 01:21
... c/π + c2 c>0 ω2 2c , + c2 c>0 , x − ıα α>0 ı eαω for ω > for ω < , x − ıα α for ω < x2 e−c|ω| x ı − sign(ω) H(x − c) = for x < c for x > c e−cx H(x), (c) > 2π(c + ıω) ecx H(−x), ... H(t − c) = for t < c for t > c for c < for c > −cs e s Jν (ct) √ Iν (ct) √ s2 + c cn √ s + s2 + c ν s2 − c cn √ s − s2 + c ν 2249 ν > −1 (s) > c, ν > −1 I.3 Table of Fourier Transforms 2π f (x) ... (x) for α == −1 dx = log x x eax dx = eax a 2232 abx a dx = b log a bx for a > log x dx = x log x − x x2 1 x dx = arctan +a a a dx = − a2 x √ √ x a2 2a 2a log a−x a+x log x−a x+a for x2 < a2 for...
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