<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…”

Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

Subjects:

Efficient Parameterization of Density Functional Tight-Binding for 5<i>f</i>‑Elements: A Th–O Case Study by Chang Liu (35901)

Subjects:

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx by Takatsugu Aihara (4433524)

“…Compared with the currently prevailing algorithms, our HB algorithm showed better performances in both the similarity to fMRI data and inter-run reproducibility, in terms of estimating the RSFC.…”

Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

“…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”

Pyrho Validation - Check re-gridded periodic data by Jimmy Shen (12664675)

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Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

“…<p><b>A</b> Example matrices for N = 50 neurons, given a density of 50% in the lower triangle<b>. B</b> Performance of the algorithm as a function of the number of neurons. …”

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Probability density functions (PDFs) of the simulated surveillance noise. by Sandor Beregi (22177739)

WheresWalker outperforms homozygosity density mapping for Maize mutant. by McKenna Feltes (11242085)

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…”

Data Sheet 1_Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control.pdf by Debora Quadrelli (22179796)

“…Recent advances in high-density electromyography (HD-EMG) and machine learning (ML) algorithms have shown potential to enhance prosthetic dexterity. …”

A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data by Anthony S. Barente (14035175)

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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

“…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …”

Schematic illustration of intensity functions and inter-event time densities. by Gerrit Großmann (9585147)

Cumulative distribution function of different algorithms after interpolation. by Ruiyi Tang (10302578)

PyNoetic’s stimuli generation and recording module, which supports both ERP and SSVEP. by Gursimran Singh (575288)

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Probability density distribution. by Jianpeng Zhang (528185)

Loss function value changes in CNN training changes with epochs for both training dataset and testing dataset. by Jiaxi Wang (545353)