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This study uses geometric morphometrics to analyze pistillate flower shapes in Peruvian Astrocaryum species, revealing taxonomic insights through quantitative shape analysis.

This study examines how dopamine synthesis and tau pathology affect functional brain network dynamics during rest and task performance in young and older adults.

QUANTA uses quantum annealing to improve species tree estimation from multi-locus data, achieving comparable accuracy to classical methods with significant speedup.

This study investigates the stepwise assembly and mechanical stability of nsP3 helical scaffolds in Chikungunya Virus using HS-AFM and EM, revealing domain-specific contributions to scaffold formation and function.

This study identifies microglial AhR as a regulator of sex-biased amyloid pathology, showing that AhR activation exacerbates amyloid deposition and that AhR deficiency reduces amyloid burden.

The paper examines the temporal stability of individual differences in habit learning and expression across two experiments with 313 participants.

This study demonstrates high reproducibility in a DTC microbiome testing workflow using NIST fecal reference material across multiple processing steps and real-world conditions.

The paper introduces the C. elegans Connectome Toolbox, a framework for integrating and analyzing multimodal connectomic data, enabling comparison across datasets and modalities.

This paper develops a digital pathology workflow to quantify matrix remodeling in wounds using fractal analysis and derives an exploratory Histological Wound Index (HWI).

This paper introduces MODAE+, a multi-objective domain adaptation framework that improves drug response prediction across cancer cell lines and patient tumours by preserving biological structure and heterogeneity.

The paper investigates whether traveling waves in attention networks reflect top-down attention signals or are a byproduct of sustained attention, finding they align with the intrinsic rhythms of engaged sensory systems.

This study compares hidden Markov models (HMMs) and vector autoregressive (VAR) models in resting-state fMRI to determine if apparent state transitions reflect discrete dynamics or continuous activity, finding that VAR often outperforms HMMs in continuous cases.

This study shows that 40 Hz visual stimulation increases gamma-band functional connectivity between visual, parietal, and frontal regions, with the visual-parietal connection being most significant.

Protify benchmarks protein language models across tasks and evaluation settings, revealing task dependence and homology leakage in model performance.

This study characterizes the MHC genomic architecture in the Midas cichlid using integrated genomic and transcriptomic analyses, revealing gene diversity, evolutionary patterns, and tissue-specific expression.

The paper proposes a Latent Cell-State Model to reconstruct cellular trajectories by inferring hidden cell states and generating gene expression profiles at unobserved timepoints.

This study shows that acute nicotine exposure induces a spatially organized transcriptional response in mouse olfactory cortex, affecting specific neurons and their surrounding astrocytes.

The paper compares transcriptomic profiles across kidney organoid, assembloid, and transplantation models to evaluate their maturity and suitability for research.

TRACE provides a framework for creating traceable biomedical resources, demonstrated with a single-cell glaucoma dataset, enabling reproducible analyses and resource reuse.