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DMTD algorithm.
Published 2025“…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”
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Functional and Structural Characterization of Mechanosensitive Piezo1 Channel in Disease
Published 2025“…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.…”
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Training algorithm flow.
Published 2024“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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Amorphous-diamond-50b.fe from Amorphous bicontinuous minimal surface models and the superior Gaussian curvature uniformity of Diamond, Primitive and Gyroid surfaces
Published 2025“…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. …”
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Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems
Published 2024“…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.…”
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Control parameters of the SOMA algorithm.
Published 2025“…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. …”
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Table 1_Establishment of reliable identification algorithms for acute heart failure or acute exacerbation of chronic heart failure using clinical data from a medical information da...
Published 2025“…Introduction<p>This study aimed to evaluate the validity of algorithms based on electronic health data in identifying cases of acute heart failure and acute exacerbation of chronic heart failure at multiple institutions using the Medical Information Database Network (MID-NET®) in Japan.…”
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AUC scores of anomaly detection algorithms.
Published 2025“…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …”
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Recall scores of anomaly detection algorithms.
Published 2025“…Empirical evaluations conducted on multiple benchmark datasets demonstrate that the proposed method outperforms classical anomaly detection algorithms while surpassing conventional model averaging techniques based on minimizing standard loss functions. …”
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<b>AI for imaging plant stress in invasive species </b>(dataset from the article https://doi.org/10.1093/aob/mcaf043)
Published 2025“…</li><li>The dataframe of extracted colour features from all leaf images and lab variables (ecophysiological predictors and variables to be predicted)</li><li>Set of scripts used for image pre-processing, features extraction, data analytsis, visualization and Machine learning algorithms training, using ImageJ, R and Python.…”