A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry by Oliver M. Crook (6013703)

A Functional Bayesian Model for Hydrogen–Deuterium Exchange Mass Spectrometry by Oliver M. Crook (6013703)

(a) The volcano plot of GSE89408, where the red scatter represents the upregulated genes and the blue scatter represents the downregulated genes. (b) The heatmap of GSE89408. by Devi Soorya Narayana Sasikumar (22331743)

Comparative Analysis (Security Functionalities). by Naif Alzahrani (19992885)

Comparison of algorithms in two cases. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Schematics for gmxapi operations. by M. Eric Irrgang (4487278)

gmxapi usage examples. by M. Eric Irrgang (4487278)

As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algorithm from [76]. by Daniela Huppenkothen (9174507)

“…In the middle left, the converse case, where the embedded cohort is skewed, but the distractors balanced, and finally in the middle right a case where both the embedded cohort to be selected and the distractors have a highly skewed distribution. …”

libEnsemble: New capabilities for coordinating dynamic ensembles of calculations by John-Luke Navarro (9024008)

Simulation results by genetic algorithms (GAs). by Yuji Omachi (15307241)

Attribute values at a single moment. by Nada Ahmed Ezz-Eldien (17396553)

“…The presented algorithm is simulated in a heterogeneous wireless network where the fifth-generation (5G) wireless technology coexists with other radio access networks to improve the evaluation field of the proposed algorithm. …”

Algorithms for Sparse Support Vector Machines by Alfonso Landeros (798926)

“…Penalties still appear, but serve a different purpose. The proximal distance principle takes a loss function <math><mrow><mi>L</mi><mo>(</mo><mi>β</mi><mo>)</mo></mrow></math> and adds the penalty <math><mrow><mi>ρ</mi><mn>2</mn>dist<mrow><mrow><mo>(</mo><mi>β</mi><mo>,</mo><msub><mrow><mi>S</mi></mrow><mi>k</mi></msub><mo>)</mo></mrow></mrow><mn>2</mn></mrow></math> capturing the squared Euclidean distance of the parameter vector <math><mi>β</mi></math> to the sparsity set <i>S_k</i> where at most <i>k</i> components of <math><mi>β</mi></math> are nonzero. …”

The figures showed a comparison of the balanced and imbalanced sequences and performance of classifiers. by Solomon Shiferaw Beyene (9143178)

Complementary cumulative distribution functions of in degree distribution and fitted power law, lognormal and truncated power law distributions. by Olga Valba (10531121)

An example of pairwise distance tables between three sites where each site has three nodes: Site₁={<i>A</i>, <i>B</i>, <i>C</i>}, Site₂={<i>a</i>, <i>b</i>, <... by Shuwen Wang (457921)

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

“…<p><b>A)</b> Generalized workflow for fabricating DNA-functionalized hydrogels. …”

Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

A synthetic biology approach for the design of genetic algorithms with bacterial agents by A. Gargantilla Becerra (8734841)

“…To this end, we designed a genetic algorithm, which we have named BAGA, illustrating its utility solving simple instances of optimization problems such as function optimization, 0/1 knapsack problem, Hamiltonian path problem. …”

Impact of the model-based decision rule on GDM pesticide use in Bordeaux vineyards as a function of a predefined triggering probability threshold (probability of high GDM severity... by Mathilde Chen (8566473)