Scalable training of neural network potentials for complex interfaces through data augmentation by In Won Yeu, Annika Stuke, Jon López-Zorrilla, James M. Stevenson, David R. Reichman, Richard A. Friesner, Alexander Urban, Nongnuch Artrith

“…Here, we present an efficient methodology incorporating forces into ANN training by translating them to synthetic energy data using Gaussian process regression (GPR), leading to accurate PES models with fewer additional first-principles calculations and a reduced computational effort for training. …”
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Neural networks with optimized single-neuron adaptation uncover biologically plausible regularization. by Victor Geadah, Stefan Horoi, Giancarlo Kerg, Guy Wolf, Guillaume Lajoie

“…To answer this question, a multi-scaled approach is needed where the computations of single neurons and neural circuits must be considered as a complete system. …”
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BanglaLem: A Transformer-based Bangla Lemmatizer with an Enhanced Dataset by Md Fuadul Islam, Jakir Hasan, Md Ashikul Islam, Prato Dewan, M. Shahidur Rahman

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Efficient cluster center optimization: A novel hybrid metaheuristic by Saeideh Barkhordari Firozabadi, Seyed Abolfazl Shahzadeh Fazeli, Jamal Zarepour Ahmadabadi, Seyed Mehdi Karbassi

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A feedforward mechanism for human-like contour integration. by Fenil R Doshi, Talia Konkle, George A Alvarez

“…Deep neural network models provide a powerful experimental platform for exploring core mechanisms underlying human visual perception, such as perceptual grouping and contour integration-the process of linking local edge elements to arrive at a unified perceptual representation of a complete contour. …”
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GAPF-DFT: A graph-based alchemical perturbation density functional theory for catalytic high-entropy alloys by Mohamed Hendy, Okan K. Orhan, Homin Shin, Ali Malek, Mauricio Ponga

“…To address this issue, we developed a graph-based Gaussian process regression model to correct discrepancies between APDFT and conventional density functional theory values. …”
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Models of self-peptide sampling by developing T cells identify candidate mechanisms of thymic selection. by Iren Bains, Hisse M van Santen, Benedict Seddon, Andrew J Yates

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Dissecting the calcium-induced differentiation of human primary keratinocytes stem cells by integrative and structural network analyses. by Kiana Toufighi, Jae-Seong Yang, Nuno Miguel Luis, Salvador Aznar Benitah, Ben Lehner, Luis Serrano, Christina Kiel

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Modeling Fatty Acid Transfer from Artery to Cardiomyocyte. by Theo Arts, Robert S Reneman, James B Bassingthwaighte, Ger J van der Vusse

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A novel solid waste instance creation for an optimized capacitated vehicle routing model using discrete smell agent optimization algorithm by Ahmed T. Salawudeen, Olusesi A. Meadows, Basira Yahaya, Muhammed B. Mu'azu

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Application of support vector machine system introducing multiple submodels in data mining by Weinan Tang

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How do help-seeking and help-abuse affect learning achievement in an interactive learning environment? by Andreas Schulz, Johannes Voermanek

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Nonidentifiability of the source of intrinsic noise in gene expression from single-burst data. by Piers J Ingram, Michael P H Stumpf, Jaroslav Stark

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Anxiety-Like Behavioural Inhibition Is Normative under Environmental Threat-Reward Correlations. by Dominik R Bach

“…Harnessing a virtual computer game, we test model predictions in four experiments with human participants. …”
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A factor graph nested effects model to identify networks from genetic perturbations. by Charles J Vaske, Carrie House, Truong Luu, Bryan Frank, Chen-Hsiang Yeang, Norman H Lee, Joshua M Stuart

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Amorphization evolution study of CrCoFeNiMn high entropy alloy for mechanical performance optimization by deep potential molecular dynamics by Wentao Zhou, Jia Song, Lve Lin, Huilong Yang, Shaoqiang Guo, Guang Ran, Yafei Wang

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Development of a multi-level feature fusion model for basketball player trajectory tracking by Tao Wang

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A Discretized Overlap Resolution Algorithm (DORA) for resolving spatial overlaps in individual-based models of microbes. by Ihab Hashem, Jian Wang, Jan F M Van Impe

“…By discretizing the simulation space further and assigning circular cells to specific grid units, DORA transforms the computationally intensive pairwise comparison process into a more efficient grid-based operation. …”
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Virtual melting and cyclic transformations between amorphous Si, Si I, and Si IV in a shear band at room temperature by Hao Chen, Valery I. Levitas

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Contributions of urban productive safety net program to enhancing food security and livelihood diversification: an in-depth analysis of household-Level perceptions among urban popu... by Abraham Woru Borku, Abera Uncha Utallo, Thomas Toma Tora

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