4133 papers
This study demonstrates that clinical *Corynebacterium striatum* isolates from severe infections in Rio de Janeiro can adhere to and survive within human A549 pneumocytes for up to 24 hours, highlighting their potential role in pathogenicity and healthcare-associated infections.
This study utilizes latent class analysis on a survey of 509 Emirati adults to reveal that genetic literacy profiles are complex and heterogeneous, identifying distinct groups such as "confident but uninformed" individuals that challenge simple demographic segmentation and necessitate tailored educational interventions for precision medicine initiatives.
This study demonstrates that the solitary ground beetle *Anthia thoracica* possesses a limited capacity to discriminate small numerosities (up to three items) through an Object File System-like mechanism, indicating that basic numerical cognition in insects can evolve independently of eusociality or central-place foraging.
This study introduces Structural Connectivity Gradient Mapping (SCGM), a reproducible framework that reveals four dominant low-dimensional axes of human white-matter organization across the cortex, subcortex, and cerebellum, which show limited correspondence with functional gradients and exhibit distinct age-related remodeling, particularly in a cerebellar-transmodal axis.
This study develops a hepatic compartmental model to decompose the bioconcentration factor of four sugarcane herbicides in Nile tilapia into interpretable physiological rate constants, revealing that while liver-to-muscle partitioning is generally consistent with independent data, the model's reliance on limited sampling and specific biotransformation rates highlights the need for improved constraints to accurately assess dietary risks and mixture-dependent elimination patterns.
This paper proposes a bristlebot swarm model to test the hypothesis that age heterogeneity (quantified as component age entropy) acts as a causal driver of system dysfunction, drawing parallels between the robot's collective order degradation and biological mosaic aging to establish a physical framework for understanding how structured temporal divergence disrupts complex systems.
This study demonstrates that the long non-coding RNAs XIST and TSIX are upregulated in systemic sclerosis, where they act as upstream regulators of TGF-β-mediated fibrosis, suggesting their potential as disease biomarkers and therapeutic targets.
This study presents a supervised learning framework utilizing Random Forest models with RDKit descriptors to effectively predict the bioactivity of small-molecule modulators against protein-protein interactions, achieving strong performance on internal and blind datasets while highlighting the challenges of generalizing to structurally diverse external compounds.
This study presents a hybrid computational framework combining Gated Attention Multiple Instance Learning with a reaction-diffusion model to demonstrate that oscillatory modulation of extracellular pH significantly enhances simulated therapeutic response and tumor burden reduction in breast cancer compared to chemotherapy alone.
This paper presents a modular, version-controlled, and fully reproducible end-to-end RNA-seq workflow that integrates tools from raw data processing to pathway enrichment, demonstrating its utility through a breast-cancer case study that reveals how ESR1 mutations and BET inhibitor treatment drive reciprocal transcriptional changes in key biological pathways.