4656 papers
This paper presents a novel AI-driven, physics-based lumped-element model that integrates deep learning-extracted vocal fold dynamics with a spring-damper-mass representation of the respiratory system to simulate voice production and predict non-invasively measurable parameters like subglottal pressure and energy transfer mechanisms.
The paper introduces PltScanner, a lightweight ensemble classifier that accurately identifies and corrects misannotations of platelets in scRNA-seq data while revealing their functional heterogeneity and interactions within complex tissue microenvironments.
The paper introduces CryoDCOV, a deep-learning framework that utilizes decoupled Gaussian mixture models to effectively separate and reconstruct conformational and compositional heterogeneity in cryo-EM data, thereby enabling the generation of high-resolution, interpretable 3D structures of dynamic macromolecular ensembles.
This study demonstrates the successful application of a 63K SNP array to genotype 49 caribou in Canadian zoological facilities, providing the first molecular characterization of this managed population to optimize breeding strategies, preserve genetic diversity, and support future wild reintroduction efforts.
This study provides the first comprehensive assessment of *Phocanema krabbei* and *P. decipiens* infections in Northeast Atlantic fish, revealing that *P. krabbei* dominates the region with a single panmictic population, primarily infecting *Lophius* species and preferring muscle tissues, while highlighting significant public health and economic implications for the seafood industry.
This study identifies Gelsolin (GSN) as a downregulated prognostic biomarker in colon adenocarcinoma, demonstrating that its reduced expression correlates with poorer patient survival, significant immune cell infiltration, and decreased serum levels, thereby suggesting its potential utility as a diagnostic marker and neo-antigen for targeted therapy.
This paper presents a widefield quantum sensing method using light-sheet microscopy to overcome the trade-off between high throughput and low phototoxicity in nanodiamond-based biological applications, enabling fast, three-dimensional, and sensitive optically detected magnetic resonance imaging with minimal out-of-focus illumination.
Using data from the UK Millennium Cohort Study and a trio design, this study finds that social media use acts as a "social push" that disproportionately harms girls' mental health by elevating risk across the board and compressing genetic differences, particularly among those with a low genetic propensity for poor well-being.
This paper presents a novel synergetic method combining near-infrared laser thermography and analytical modeling to accurately evaluate the absorption characteristics of nonstandard internal tissues, such as porcine tongue mucosa, demonstrating results comparable to conventional spectrophotometry.
This study demonstrates that the stem bark of *Securidaca longepedunculata* exhibits superior antioxidant and antimicrobial activities compared to its root bark, particularly in chloroform fractions, suggesting it as a more sustainable and effective alternative for traditional medicinal use.