Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 4 by Antoine Falisse (6061601)

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Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement - Fig 3 by Antoine Falisse (6061601)

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Effect of “nonfunctional group” on function. by Yuanchen Zhao (12905580)

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Example of the CNF function for off-axis DHM holograms recorded in a non-telecentric configuration. by Raul Castañeda (13932971)

Similarity between the hierarchical community structure of structural and functional brain graphs. by Arian Ashourvan (6685232)

A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density. by Hassan Mehboob (8960273)

“…<p>A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.…”

Visualization and balancing the cost function with the Pauli term. by Alexander Borst (32619)

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Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)

Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

“…<p>Among 46 DEGs whose expression significantly changed in A549 and BEAS-2B cell lines, the core genes were selected using three algorithms: MCC, MNC, and DEGREE. …”

Functional validation of the metastasis-predictive genes inferred by PLUS from TCGA data. by Junyi Zhou (495644)

General idea of alternative structures of aptamers binding the same ligand and its specific implementation scheme for the BioRS function. by Alexander V. Spirov (11302085)

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Data_Sheet_1_Decoding emotional resilience in aging: unveiling the interplay between daily functioning and emotional health.PDF by Minhua Guo (18392646)

<b>Optimization of the whole life capacity configuration of the hydrogen production system based on improved whale optimization algorithm</b> by Fan Jiang (21178691)

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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Integration of three machine learning algorithms to characterize lipid metabolism-associated hub genes in sepsis and atrial fibrillation. by Changze Ou (22806374)

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

<b>Fig. 3 | Performance analysis of microrobot navigation in various environments using reinforcement learning algorithms.</b> by Mahmoud Medany (20766911)

“…<b>e.</b> Impact of different reward functions on the rate of target achievement. …”

Pseudocode of the RPath algorithm. by Daniel Domingo-Fernández (5432273)

“…., <i>lmax)</i>, the core function of the algorithm, <i>is_drug_prioritized</i>, returns whether a drug should be prioritized or not. …”

Cobalt-Complexed Acetylenic Tetrads, a Molecular Scaffold for Quadruple Ionic Functionalization Reactions by Gagik G. Melikyan (1532986)

“…A methodology was developed for introducing nucleophiles into the α- and α′-positions of the dicobalt hexacarbonyl-complexed acetylenic tetrads. A synthetic algorithm included the entry of a given nucleophile to both termini of the acetylenic tetrad <b>A</b> (α-Nu¹-α′-Nu¹; α-Nu²-α′-Nu²), or a pair of select nucleophiles arranged unsymmetrically in opposing sequences (α-Nu¹-α′-Nu²; α-Nu²-α′-Nu¹). …”