1504 papers
This study demonstrates that optimizing prediction thresholds for entropy-based LSTM and BiLSTM models significantly improves the precision of seven-day-ahead agitation forecasts in passive dementia monitoring, thereby reducing false alert burdens and establishing clinically actionable operating policies for rare-event detection.
This paper introduces the Conceptual Stress Propagation Model (CSPM), a qualitative framework proposing that individual stress in group-housed animals aggregates into emergent network dynamics through social transmission pathways, supported by exploratory stakeholder perceptions and accompanied by specific, falsifiable predictions for future empirical validation.
This paper investigates the spatio-temporal dynamics of a harvested prey-predator model with Holling Type-II functional response through analytical stability and bifurcation analysis, while simultaneously developing and validating a hybrid CNN-Random Forest machine learning framework to predict pattern regimes and construct transition diagrams across a two-parameter space.
This paper proposes a multimodal framework that fuses graph neural network representations of drug structures with semantic embeddings from biomedical language models to effectively predict drug–drug interactions for new, unseen drugs in cold-start scenarios where traditional structure-only models fail.
This study identifies candidate homologs of key chromatin regulatory components involved in animal REST-associated repression within choanoflagellates, suggesting that while the individual protein families predate animals, their integration into a functional REST-like pathway remains unconfirmed.
This study demonstrates that developmental loss of the adherens junction protein Afadin reorganizes the adult brain by inducing a stable, ectopic neurogenic niche in the neocortex and disrupting the canonical ventricular-subventricular zone, thereby revealing the profound plasticity of neural stem cells in response to adhesion defects.
This study validates the ethnomedicinal use of *Phyllanthus niruri* L. from Mozambique by demonstrating that its leaf extract, rich in phenols, flavonoids, and tannins, exhibits potent, dose-dependent antifungal activity against *Candida albicans* and *Staphylococcus aureus* (with MICs of 12.5 mg/mL), outperforming Fluconazole at higher concentrations, while showing no efficacy against *Escherichia coli*.
Naoki Kamiya, who was affiliated with The Institute of Statistical Mathematics when the work reported in the manuscript was conducted and who now conducts research through Relations & Behavior Lab, Tokyo, Japan, argues for shifting the focus of choice behavior model selection from identifying a single "correct" formulation to evaluating how different models capture distinct manipulable environmental components, advocating for the use of ensemble methods like Bayesian model averaging and stacking to integrate these complementary structures for improved prediction and control.
This study employs a comprehensive in silico approach to identify and characterize RNA-106, a stable RNA aptamer that selectively binds to and inhibits the oncogenic KRAS G12D variant through specific interactions with its Switch I and II domains, offering a promising foundation for developing RNA-based therapeutics against KRAS-driven cancers.
This study utilized an fMRI paradigm with INDETRAE scenarios to demonstrate that different cheating circumstances elicit distinct neural signatures across mentalizing, executive control, and reward networks, thereby validating the paradigm for investigating the neural substrates of corruption.