1624 papers
This study demonstrates that biological invasions fundamentally reorganize the relationship between biodiversity and stability in riverine fish communities by directly reducing stability and reshaping the positive diversity–stability relationship into a negative one, particularly at high invasion intensities, with effects varying across biogeographic regions.
This study proposes a novel method for accurately estimating physical energy expenditure during high-intensity exercise by leveraging the synergistic relationship between non-invasive systolic blood pressure and heart rate time integrals, validated against the doubly labeled water gold standard.
This study reconstructs the 43-year evolutionary history of the mcr-9.1 region in *Cronobacter sakazakii*, revealing a conserved core structure that has evolved into a complex, semi-mobile genomic module predominantly associated with the chromosome in early isolates but increasingly linked to plasmids in recent years through clonal expansion and horizontal gene transfer.
This paper demonstrates that while standard EGFR potency models suffer severe performance degradation under cross-source and future-release domain shifts, their predictive accuracy can be effectively recovered through a lightweight, source- and release-aware residual calibration strategy using a small set of scaffold-disjoint support labels.
This study utilizes integrated systems biology analysis of bulk RNA-seq data to demonstrate that while Multiple Sclerosis involves immune heterogeneity across CD14+, CD4+, and CD8+ cells, CD14+ myeloid cells exhibit the most profound transcriptional and regulatory dysfunction characterized by pro-inflammatory, metabolic, Wnt, and calcium signaling abnormalities, highlighting them as a central driver of MS immunopathology.
This integrated multi-cohort transcriptomic analysis reveals that while peripheral PDCD4 expression levels remain stable in major depressive disorder, they are tightly correlated with T-cell immune signatures and inflammatory pathways, suggesting PDCD4 serves as a key peripheral immune correlate in depression pathophysiology despite lacking a direct causal link to disease risk.
This study presents a deep learning-based approach using the YOLO26l model that significantly accelerates and standardizes the detection and quantification of eight fungal genera in aerobiological samples, achieving high accuracy and strong correlation with manual counts while reducing processing time from hours to under two minutes.
This 2023 study in Plateau State, Nigeria, characterized the species composition, feeding behaviors, and *Plasmodium falciparum* infectivity of malaria vectors, revealing *Anopheles gambiae* sensu lato as the dominant species with high human-biting rates and significant sporozoite prevalence, thereby underscoring the need for continuous surveillance and the consideration of behavioral plasticity in vector control strategies.
This study utilizes a comprehensive in silico workflow, including molecular docking, ADMET profiling, MM-GBSA calculations, and 100 ns molecular dynamics simulations, to identify luteolin, quercetin, and kaempferol from *Bryophyllum pinnatum* as potent and stable PI3Kγ inhibitors with promising therapeutic potential for treating rheumatoid arthritis.
This study demonstrates that phosphorus starvation in wheat, particularly in landrace genotypes, expands the rare rhizospheric bacterial biosphere and alters functional potential without significantly disrupting the core microbiome structure, offering insights for microbiome-informed breeding and nutrient management strategies.