ReLU fitness function line graph. by XiuZhi Qi (18555018)

Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

“…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”

Redesign of c-Raf-RBD residue position 88 from valine to isoleucine. by Anna U. Lowegard (8051597)

Data_Sheet_1_Sensitivity of Inherent Optical Properties From Ocean Reflectance Inversion Models to Satellite Instrument Wavelength Suites.pdf by P. Jeremy Werdell (6526688)

“…Inherent optical properties (IOPs) quantitatively describe the absorbing and scattering constituents of seawater and can be estimated from satellite-observed spectroradiometric data using semi-analytical algorithms (SAAs). …”

Reverse Designing the Wavelength-Specific Thermally Activation Delayed Fluorescent Molecules Using a Genetic Algorithm Coupled with Cheap QM Methods by Xubin Wang (1861147)

“…The fitness function includes three key parameters, i.e., the emission wavelength, the energy gap (Δ<i>E</i>_ST) between the lowest singlet (S₁)- and triplet (T₁)-excited states, and the oscillator strengths for electron transition from S₀ and S₁. …”

Agreements and disagreements between scores of the therapist’s score on the tablet (T-score) and the automatic score (A-score) from the TabMe2 software. by Dominique Vincent-Genod (20552594)

Parameter search fine-tuned through Differential Evolution algorithm. by Bolaji P. Eniwaye (12915339)

“…For each generation, 10 agents (parameter sets) with the highest cost function from the population of 30, were chosen for replacement. …”

Genetic algorithms can be applied to higher-dimensional design problems. by Lu Hong (399882)

Data is generated from ARMA (p, q) models with (p, q) , and the corresponding AIC table is created. by Jesse Wheeler (18462457)

Example of use of the slightly off-axis strategies. by Raul Castañeda (13932971)

Example of the fully-compensated phase reconstruction package for off-axis DHM holograms recorded in telecentric configuration. by Raul Castañeda (13932971)

Table S2 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Table S1 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Table S3 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Tabel S4 from Precision Oncology beyond Targeted Therapy: Combining Omics Data with Machine Learning Matches the Majority of Cancer Cells to Effective Therapeutics by Michael Q. Ding (15079000)

Spectrograms extracted from the generalized S-transform corresponding to the adjustment parameters λ_<i>G</i> = 0.05, λ_<i>L</i> = 0.01. by Li Jiashen (20552690)

Flow chart diagram of quantum hash function. by Sultan H. Almotiri (14029251)

“…Our study addresses five major components of the quantum method to overcome these challenges: lattice-based cryptography, fully homomorphic algorithms, quantum key distribution, quantum hash functions, and blind quantum algorithms. …”

Sub-model-specific gene sets with functional annotations and weights. by Josh L. Espinoza (10492448)

The number of core promoter elements and TF binding sites predicted for four promoters with YAPP, GPMiner and ElemeNT algorithms. by Ali Hosseini Rad S. M. (9167497)

Fractal dimension of cortical functional connectivity networks & severity of disorders of consciousness by Thomas F. Varley (8446899)

“…We used a Compact Box Burning algorithm to compute the fractal dimension of cortical functional connectivity networks as well as computing the fractal dimension of the associated adjacency matrices using a 2D box-counting algorithm. …”