Fast yet force-effective mode of supracellular collective cell migration due to extracellular force transmission. by Amrit Bagchi, Bapi Sarker, Jialiang Zhang, Marcus Foston, Amit Pathak

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A pre-trained deep potential model for sulfide solid electrolytes with broad coverage and high accuracy by Ruoyu Wang, Mingyu Guo, Yuxiang Gao, Xiaoxu Wang, Yuzhi Zhang, Bin Deng, Mengchao Shi, Linfeng Zhang, Zhicheng Zhong

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General and stable emulation of finite state machines with spiking neural networks by Ziyang Sun, Zhong Zheng, Binying Zhang, Hanle Zheng, Zikai Wang, Hao Guo, Lei Deng

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NeuBridge: bridging quantized activations and spiking neurons for ANN-SNN conversion by Yuchen Yang, Jingcheng Liu, Chengting Yu, Chengyi Yang, Gaoang Wang, Aili Wang

“…Spiking neural networks (SNNs) offer a promising avenue for energy-efficient computations on neuromorphic hardware, leveraging the unique advantages of spike-based signaling. …”
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Integrating artificial intelligence in higher education: perceptions, challenges, and strategies for academic innovation by Dusana Alshatti Schmidt, Bedour Alboloushi, Anisha Thomas, Rodrigo Magalhaes

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Why the growth of arboviral diseases necessitates a new generation of global risk maps and future projections. by Oliver J Brady, Leonardo S Bastos, Jamie M Caldwell, Simon Cauchemez, Hannah E Clapham, Illaria Dorigatti, Katy A M Gaythorpe, Wenbiao Hu, Laith Hussain-Alkhateeb, Michael A Johansson, Ahyoung Lim, Velma K Lopez, Richard James Maude, Jane P Messina, Erin A Mordecai, Andrew Townsend Peterson, Isabel Rodriquez-Barraquer, Ingrid B Rabe, Diana P Rojas, Sadie J Ryan, Henrik Salje, Jan C Semenza, Quan Minh Tran

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Improving pharmacokinetic-pharmacodynamic modeling to investigate anti-infective chemotherapy with application to the current generation of antimalarial drugs. by Katherine Kay, Ian M Hastings

“…Mechanism-based pharmacokinetic-pharmacodynamic (PK/PD) modelling is the standard computational technique for simulating drug treatment of infectious diseases with the potential to enhance our understanding of drug treatment outcomes, drug deployment strategies, and dosing regimens. …”
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Analyzing the quality evaluation of college English teaching based on probabilistic linguistic multiple-attribute group decision-making by Ruoxi Hu, Qingmao Wang

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Patient-specific modeling of the trochlear morphologic anomalies by means of hyperbolic paraboloids by Pietro Cerveri, Guido Baroni, Norberto Confalonieri, Alfonso Manzotti

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Mechanical stress and anionic lipids synergistically stabilize an atypical structure of the angiotensin II type 1 receptor (AT1). by Rym Ben Boubaker, Daniel Henrion, Marie Chabbert

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A Bayesian approach to quantifying the effects of mass poultry vaccination upon the spatial and temporal dynamics of H5N1 in Northern Vietnam. by Patrick G T Walker, Simon Cauchemez, Raphaëlle Métras, Do Huu Dung, Dirk Pfeiffer, Azra C Ghani

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Stochastic ion channel gating in dendritic neurons: morphology dependence and probabilistic synaptic activation of dendritic spikes. by Robert C Cannon, Cian O'Donnell, Matthew F Nolan

“…We introduce and validate new computational tools that enable efficient generation and simulation of models containing stochastic ion channels distributed across dendritic and axonal membranes. …”
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A toolbox for representational similarity analysis. by Hamed Nili, Cai Wingfield, Alexander Walther, Li Su, William Marslen-Wilson, Nikolaus Kriegeskorte

“…A key challenge is to use measured brain-activity patterns to test computational models of brain information processing. …”
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Generative AI extracts ecological meaning from the complex three dimensional shapes of bird bills. by Russell Dinnage, Marian Kleineberg

“…The model is designed to learn a continuous vector representation of 3D shapes, along with a 'decoder' function, that allows the transformation from this vector space to the original 3D morphological space. …”
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Deep supervised, but not unsupervised, models may explain IT cortical representation. by Seyed-Mahdi Khaligh-Razavi, Nikolaus Kriegeskorte

“…Inferior temporal (IT) cortex in human and nonhuman primates serves visual object recognition. Computational object-vision models, although continually improving, do not yet reach human performance. …”
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Optimizing the learning rate for adaptive estimation of neural encoding models. by Han-Lin Hsieh, Maryam M Shanechi

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Electrodiffusion dynamics in the cardiomyocyte dyad at nano-scale resolution using the Poisson-Nernst-Planck (PNP) equations. by Karoline Horgmo Jæ Ger, Aslak Tveito

“…Here, we present a nano-scale computational model, representing dyad dynamics using the PNP system. …”
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Generation of diverse biological forms through combinatorial interactions between tissue polarity and growth. by Richard Kennaway, Enrico Coen, Amelia Green, Andrew Bangham

“…Tissue is treated as a continuous material within which regionally expressed factors under genetic control may interact and propagate. …”
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Scoring epidemiological forecasts on transformed scales. by Nikos I Bosse, Sam Abbott, Anne Cori, Edwin van Leeuwen, Johannes Bracher, Sebastian Funk

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Flow-based cytometric analysis of cell cycle via simulated cell populations. by M Rowan Brown, Huw D Summers, Paul Rees, Paul J Smith, Sally C Chappell, Rachel J Errington

“…Here we link the "real" data to initialise a computer simulation of the cell cycle that mimics the evolution of individual cells within a larger population and simulates the associated changes in fluorescence intensity of functional reporters. …”
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