Structure of the Channel Attention Module. by LinNa Li (5665885)

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The structure of the spatial attention module. by LinNa Li (5665885)

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Image of the ReLU function. by Mengqi Yuan (4852555)

S1 File - by Yuh-Chin T. Huang (17867207)

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S1 Dataset - by Yuh-Chin T. Huang (17867207)

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Theoretical maximum and actual “topological” DoF of the seven larger modules of the <i>E</i>.<i>coli</i> iJO1366 reconstruction. by Verónica S. Martínez (12963770)

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Algorithm membership function. by Mohamed Raef Smaoui (9865830)

“…<p>(Top) Input Membership Function. The algorithm classifies glucose input into 4 sets: low, medium, high, and ex_high. …”

Four active modules obtained by applying MOGAMUN on different FSHD1 expression datasets. by Elva María Novoa-del-Toro (11356147)

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Functional module diagram. by Fan Hongxia (21029673)

The <i>BayesianOptimisation</i> module. by Lisa Laux (9367681)

“…<p>A representation of the <i>BayesianOptimisation</i> module shows the settings that need to be defined by the user. …”

<i>F</i>₁-scores obtained by jActiveModules, COSINE, PinnacleZ, and MOGAMUN in the two benchmark experiments. by Elva María Novoa-del-Toro (11356147)

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Variations of loss functions versus epoch number. by Xueliang Guo (4797057)

Illustration of recording paradigm with PyNoetic’s Stimuli generation and recording module. by Gursimran Singh (575288)

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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic by NELSON L. DIAS (8078003)

“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”

This is the overview diagram of the multi-task fusion module where <i>J</i>_<i>real</i> is the original image, <i>J</i>_<i>C</i> is the contrast-enhanced image,... by Kaibo Liao (18056473)

Table_1_Identifying Mild Hepatic Encephalopathy Based on Multi-Layer Modular Algorithm and Machine Learning.DOCX by Gaoyan Zhang (450697)

“…Multi-layer modular algorithm was performed on dynamic brain functional connectivity graph. …”

Idea of the search for a domain/motif within the range from 1 to W positions (in the window) instead of an only predetermined position. by Alexander V. Spirov (11302085)

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System pharmacology-based determination of the functional components and mechanisms in chronic heart failure treatment: an example of Zhenwu decoction by Yisheng Huang (152457)

“…Subsequently, a pioneering method for evaluating node significance was formulated, culminating in the creation of core functional association space (CFAS). To discern vital components, a novel dynamic programming algorithm was devised and used to determine the core component group (CCG) within the CFAS. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …”

Development and Evaluation of GlycanDock: A Protein–Glycoligand Docking Refinement Algorithm in Rosetta by Morgan L. Nance (10981871)

“…In this work, we introduce <i>GlycanDock</i>, a residue-centric protein–glycoligand docking refinement algorithm developed within the Rosetta macromolecular modeling and design software suite. …”