3726 papers
This study demonstrates that knocking down CDCP1 inhibits ox-LDL-induced vascular smooth muscle cell phenotypic transition and lipid accumulation in atherosclerosis by destabilizing ITGB4 mRNA, thereby suppressing the ITGB4/PI3K/AKT signaling pathway.
This paper introduces an open-source, multi-objective deep learning framework that accurately predicts subject-specific, whole-head EEG responses to natural images with millisecond-scale inference, demonstrating robust zero-shot generalization and preserving key spatiotemporal and spectral neural dynamics.
This study demonstrates that páramo vegetation in the Northern Andes exhibits rapid structural and floristic recovery within two years of fire, driven primarily by grasses and resprouting species, suggesting that active restoration may be unnecessary for isolated fires despite the need for long-term monitoring to assess the impacts of increasing fire frequency and climate warming.
This paper proposes a methodological protocol that integrates three-dimensional spheroid culture under simulated microgravity with a hybrid computer vision pipeline to calculate a Mechanobiological Vulnerability Index (MVI), aiming to identify transient windows of structural weakness in NSCLC tumors for the temporal optimization of therapeutic interventions.
This study utilizes an interpretable machine learning framework on 3D motion capture data to demonstrate that complex emotional and social tasks reveal distinct, whole-body motor signatures that effectively differentiate autistic individuals from neurotypical controls.
This study employs a correlative in situ approach to reveal that despite belonging to different evolutionary classes, the South Australian bryozoans *Celleporaria cristata* and *Densipora corrugata* share similar multiscale skeletal architectures and nanogranular calcite formation, yet differ significantly in their magnesium distribution patterns and organic matrix composition (protein-rich cuticle versus carbohydrate-rich interlamellar layers).
This study identifies the nucleosome remodeler CHD1 as a critical component of the mammalian synaptonemal complex that orchestrates meiotic chromosome compaction and architecture to create a chromatin environment essential for crossover maturation and fertility.
This study identifies eight novel *eIF4Gtsv1* resistance alleles in rice through large-scale genomic mining and phenotypic validation, demonstrating their association with reduced Rice tungro spherical virus titers and providing new PACE markers to accelerate breeding for tungro resistance.
This paper proposes the Mechanobiological Vulnerability Index (MVI), a novel computational framework combining simulated microgravity and hybrid computer vision models to identify cryptic therapeutic targets in post-infarct cardiac fibroblasts by exploiting gravity-induced cytoskeletal vulnerabilities to overcome the limitations of static molecular profiling in treating cardiac fibrosis.
This study identifies and validates two novel, non-toxic PAD4 inhibitors through an integrated computational and experimental approach, demonstrating their efficacy in suppressing NETosis and disrupting inflammatory loops in neutrophils and macrophages, thereby offering promising therapeutic candidates for NET-mediated diseases.