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A cell-level model to predict the spatiotemporal dynamics of neurodegenerative disease arxiv.org/abs/2508.15046

Modelling the transmission and impact of Omicron variants of Covid-19 in different ethnicity groups in Aotearoa New Zealand arxiv.org/abs/2508.15077

HetSyn: Versatile Timescale Integration in Spiking Neural Networks via Heterogeneous Synapses arxiv.org/abs/2508.11644

Revealing Neurocognitive and Behavioral Patterns by Unsupervised Manifold Learning from Dynamic Brain Data arxiv.org/abs/2508.11672

BeeNet: Reconstructing Flower Shapes from Electric Fields using Deep Learning arxiv.org/abs/2508.11724

Binomial maps: stochastically evolving iterated integer maps for finite population arxiv.org/abs/2508.11974

Towards interpretable prediction of recurrence risk in breast cancer using pathology foundation models arxiv.org/abs/2508.12025

BConformeR: A Conformer Based on Mutual Sampling for Unified Prediction of Continuous and Discontinuous Antibody Binding Sites arxiv.org/abs/2508.12029

zERExtractor:An Automated Platform for Enzyme-Catalyzed Reaction Data Extraction from Scientific Literature arxiv.org/abs/2508.09995

Unifying equivalences across unsupervised learning, network science, and imaging/network neuroscience arxiv.org/abs/2508.10045

SurgPub-Video: A Comprehensive Surgical Video Dataset for Enhanced Surgical Intelligence in Vision-Language Model arxiv.org/abs/2508.10054

Large Language Models Show Signs of Alignment with Human Neurocognition During Abstract Reasoning arxiv.org/abs/2508.10057

Excessive Screen Time is Associated with Mental Health Problems and ADHD in US Children and Adolescents: Physical Activity and Sleep as Parallel Mediators arxiv.org/abs/2508.10062

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