AIMC Journal:
bioRxiv

Showing 721 to 730 of 4938 articles

BeeMonitor: Automated IoT video surveillance and an AI-powered video processing system for monitoring the foraging and nesting behavior of cavity-nesting solitary bees

bioRxiv Jul 17, 2026
Solitary bee species that use artificial trap nests are important for agricultural crop production and as indicators of habitat quality. Quantifying cavity-nesting solitary bee foraging and nesting behavior is essential for real-time analysis of popu...
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A hybrid approach combining a phylogenetic method and Approximate Bayesian Computation Random Forest for phylogenetic network inference: application to the rice domestication process in Asia

bioRxiv Jul 17, 2026
Asian rice is one of the best documented crops in terms of genetic diversity. The domestication process, that probably started 9000 years ago in China, remains difficult to infer since the main vertical signal is blurred by horizontal signals related...
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Decoding the oxytocinergic and behavioral signatures of milk ejection

bioRxiv Jul 17, 2026
Oxytocin-mediated milk ejection (ME) is pivotal to effective breastfeeding and productive health, yet behaviorally decoding and revealing neural mechanisms of ME remains challenging. Here, we combined in vivo calcium imaging and intramammary pressure...
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Multiscale learning and topological analysis across complex postures enable robust nematode size quantification in pharmacological assays

bioRxiv Jul 17, 2026
Body size is an important trait that reflects animal development and physiology. In nematodes, precise measurement is valuable for linking variation in body dimensions to biological questions such as developmental timing, genetic regulation, and drug...
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SemVac: A Semantic Vaccinology Paradigm Powered by LLMs for Antigen Discovery

bioRxiv Jul 17, 2026
Reverse vaccinology has enabled sequence-based antigen discovery, but it overlooks the rich semantic knowledge embedded in the biomedical literature. Here we establish Semantic Vaccinology (SemVac), a paradigm that leverages large language models (LL...
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Neuroanatomical Subtypes of Callous-Unemotional Traits in a Community Sample of Youth

bioRxiv Jul 16, 2026
Importance. Callous Unemotional (CU) traits are associated with significant clinical and neurophysiological heterogeneity that may affect treatment effectiveness. Objective. To uncover neuroanatomical subtypes of CU traits using weakly-supervised mac...
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A multi-agent workflow converts CAR-T patient evidence into experimentally testable hypotheses

bioRxiv Jul 16, 2026
The rapid expansion of chimeric antigen receptor (CAR) T cell studies has produced a fragmented evidence landscape linking publications, repository accessions, patient metadata and mechanistic observations. Here we present BioPathfinder, a multi-agen...
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Machine Learning-Guided Engineering of High-Affinity Cross-Reactive Antibodies with Minimal Mutations

bioRxiv Jul 16, 2026
Antibodies raised against human targets often fail to recognize their animal orthologs, limiting preclinical evaluation in relevant models. We developed a Deep Mutational Scanning (DMS)-coupled deep learning strategy to engineer potent cross-reactive...
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Surprisal contributes little beyond contextual embeddings in high-gamma ECoG encoding

bioRxiv Jul 16, 2026
Surprisal and contextual embeddings are both derived from large language models and are widely used to predict neural responses during language comprehension, but it is unclear whether surprisal adds information beyond embeddings. We test this direct...
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Bifurcation Structure and Cross Nuclei Universality Govern Frequency-Selective Deep Brain Stimulation

bioRxiv Jul 16, 2026
High-frequency deep brain stimulation (DBS, >90 Hz) reliably suppresses Parkinsonian motor symptoms, whereas sub-therapeutic frequencies (<60 Hz) worsen them, yet the circuit mechanism underlying this frequency selectivity remains unresolved. We deve...
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