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

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Pseudo live-stream of EEG data is generated, and a simple pick-and-place flowchart is designed for channel selection and filtering. by Gursimran Singh (575288)

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Pseudo live-stream of EEG data is processed through the flow chart: after channel selection, each epoch undergoes Kaiser windowing (length = 250), followed by re-referencing to the... by Gursimran Singh (575288)

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List of Abbreviations by Gursimran Singh (575288)

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The results of ICA performed using PyNoetic. by Gursimran Singh (575288)

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DMTD algorithm. by Yunhu Huang (21402795)

“…On the basis of EITO_E, we propose EITO_P algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”

Overall method pipeline. by Thomas Durantel (20933812)

Functional and Structural Characterization of Mechanosensitive Piezo1 Channel in Disease by Sophia Liu (722004)

“…AF3 predictions closely matched known protein structures (r.m.s.d. < 0.5), and in-silico mutagenesis revealed that several variants caused cavity alterations, hydrogen bond or salt bridge disruptions, and buried-to-exposed transitions. However, most algorithms struggled to distinguish gain-of-function (GoF) from loss-of-function (LoF) variants, with GoF variants showing lower pathogenicity scores despite clinical relevance.…”

F1-Score of different algorithms for TMD on SHL dataset. by Rui Li (4631)

F1-Score of different algorithms for TMD on HTC dataset. by Rui Li (4631)

Training algorithm flow. by Xing Chen (140292)

“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”

Pseudocode of the BBAC_I Algorithm. by Zezhi Lin (22521663)

Execution Steps of the EOF Algorithm. by Zezhi Lin (22521663)

Amorphous-diamond-50b.fe from Amorphous bicontinuous minimal surface models and the superior Gaussian curvature uniformity of Diamond, Primitive and Gyroid surfaces by M. Himmelmann (22743018)

“…It contains the following sections: 1 Deformation families of triply-periodic minimal surfaces; 2 Wooten-Winer-Weaire algorithm; 3 Amorphous diamond minimal surface; 4 Pinch-off effect; 5 Topology-stabilised minimisation scheme for minimal surface generation using the "Surface Evolver"; 6 Relaxation algorithm to enhance isotropy; 7 Minimal surfaces from parallel layers with catenoidal connections; 8 Heterogeneity of minimal surfaces from parallel layers with catenoidal connections; 9 Balance between the two labyrinths of the amorphous Diamond surfaces; 10 Use of a labelled Voronoi diagram in <i>pomelo</i> package for creating initial polyhedral interfaces between intertwined graphs; 11 Distance Function on the Flat Torus; 12 Weierstrass parameterisations of TPMS; 13 Discretization data for the Minimal Surfaces; 14 Gauss Curvature Data and distributions for the Minimal Surfaces; 15 Gauss curvature of minimal surfaces as function of the in-surface distance to the nearest flatpoint; 16 Further supplementary items;We provide a detailed list of ESM files at the end of the supporting information, but before the references. …”

Payoff spaces under <i>D</i>_<i>i</i> combinations where behavioral switching occurred and under all other <i>D</i>_<i>i</i> combinations of non-behavioral swit... by Hiroyuki Ichijo (13891153)

The denoising results yielded by different algorithms. by Limin Ma (556873)

Functional enrichment analysis. by Junjie Su (368807)

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Streamfunction calculated by QA with different with different grid resolutions Streamfunction averaged over 10 runs from QA (shading) and the “true” solution (black contour lines)... by Takuro Matsuta (21608505)

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems by Dongge Lei (6836915)

“…The effectiveness of the proposed QOBL-ICA is verified by testing on 20 benchmark functions and 3 engineering design problems. Experimental results show that the performance of QOBL-ICA is superior to most state-of-the-art meta-heuristic algorithms in terms of global optimum reached and convergence speed.…”

Control parameters of the SOMA algorithm. by Quoc Bao Diep (18452207)

“…To optimize this cost function, we employ the self-organizing migrating algorithm, a swarm intelligence algorithm inspired by the cooperative and competitive behaviors observed in natural organisms. …”