Four examples of runs around the median () from La Fuenfría’s Function Recovery Uunit. by Antonio Javier Rodríguez-Hernández (12009342)

“…<p>(<b>FRU</b>). <b>A</b>: Total admissions (<b>Adm</b>) sequence (<i>n</i> = 22, <i>n</i>_<i>runs</i> = 11, <i>P</i>_<i>rnd</i> ≈ 0.15); <b>B</b>, Total discharges (<b>Dis</b>) sequence (<i>n</i> = 22, <i>n</i>_<i>runs</i> = 8, <i>P</i>_<i>rnd</i> ≈ 0.04); <b>C</b>, is the sum of lengths of stay (<b>LoS</b>) for all in–patients (<b>InP</b>) in the Unit during each month (<i>n</i> = 23, <i>n</i>_<i>runs</i> = 5, <i>P</i>_<i>rnd</i> ≈ 4.5 ⋅ 10⁻⁴); <b>D</b>, is a sequence of the average stay duration (Mean <b>LoS</b>) of each in–patient at the Unit (<i>n</i> = 23, <i>n</i>_<i>runs</i> = 10, <i>P</i>_<i>rnd</i> ≈ 0.13); <b>E</b>, throughout the observation period the Function Recovery Unit gained relevance and the number of beds were increased, the panel shows the changes in beds at the behind ib several months, as expenses, the analysis of this senescence was found to be non random (<i>n</i> = 23, <i>n</i>_<i>run</i> = 5, <i>P</i>_<i>rnd</i> ≈ 4.5 ⋅ 10⁻⁴, actually <i>n</i> runs may be just in this case, the algorithm probably found very minor decimal differences between data an in one segment; if n <i>runs</i> = 3, should n runs be 3 than <i>P</i>_<i>rnd</i> 4.5 ⋅ 10⁻⁴. …”

Comparison of deconvolution and optimization algorithms on a batch of data. by Ali-Kemal Aydin (10968731)

“…Both experimental data have been resampled at 50ms and used to compute a set of TFs (in orange) either with direct deconvolution approaches (Fourier or Toeplitz methods, middle-upper panel TFs) or with 1-Γ function optimization performed by 3 different algorithms (middle-lower panel TFs). …”

Gene content overlap in <i>RNF43 G659fs</i> mutation-specific pathways. by Alexis M. Thornton (11068403)

The CASZ1 p.R25C variant in family 16 causes mislocalization of the protein and reduced transcriptional transactivation. by David M. Gordon (3259002)

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The heterozygous ROCK1 p.Lys695* stop gain variant in family 154 caused reduced expression of ROCK1 in the proband. by David M. Gordon (3259002)

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Convergence curves of total fuel cost minimization based on (a) the HFPSO algorithm and (b) the PSO algorithm. by Abdullah Khan (377292)

A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases by Maru Song (22593561)

“…<i>Quantum Anamorphosis</i> addresses this challenge through physically motivated localization of molecular orbitals and site reordering, which yield unique block-diagonal Hamiltonian matrices and compact spin-adapted many-body wave functions. In this work, we introduce a genetic algorithm to identify optimal orbital/site orderings that enhance wave function compactness, thereby enabling the study of larger systems than previously possible. …”

Results of searching performance of the improved NAG algorithm on Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

Results of searching performance of different algorithm models on the Rosenbrock function, Ackley function, and Rastrigin function. by Rui Zhang (13940)

Results of proposed algorithms and algorithms in [9] for 18 instances. by Jin Zhang (53297)

A heatmap of the examined values for Jaya algorithm parameters. by Fadi K. Dib (5204807)

3D modeling qualities of the AS single-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Functions of a translation model. by Beibei Ren (9662634)

Search-based testing (Genetic Algorithm) - Chapter 11 of the book "Software Testing Automation" by Saeed Parsa (13893726)

“…</p> <p><br></p> <p>3. Algorithm</p> <p>Below is the main body of the test data generator program:</p> <p>  </p> <p>the main body of a Python program to generate test data for Python functions.…”

Results of searching performance of the improved NAG algorithm on Sphere function and Griewank function. by Rui Zhang (13940)

Implementation algorithm. by Michael A. Colman (7163735)

3D modeling qualities of the AM multiple-template models built by including DOPE in the objective function of MODELLER. by Giacomo Janson (8138517)

Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

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(a) Radar chart of 4 algorithms, (b) The sorting diagram of 4 algorithms. by Yu Liu (6938)