Quadrivalvular heart disease of mixed congenital and rheumatic aetiology with concomitant ostium secundum atrial septal defect and Ebstein's anomaly of the tricuspid valve [PDF]
Ranjan Shetty +4 more
openalex +1 more source
GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection
Graph-Level Anomaly Detection (GLAD) aims to distinguish anomalous graphs within a graph dataset. However, current methods are constrained by their receptive fields, struggling to learn global features within the graphs. Moreover, most contemporary methods are based on spatial domain and lack exploration of spectral characteristics.
Xu, Fan +9 more
openaire +2 more sources
Nuclear Factor I‐B Delays Liver Fibrosis by Inhibiting Chemokine Ligand 5 Transcription
This study identifies the transcription factor Nuclear Factor I‐B (NFIB) as a key suppressor of liver fibrosis. NFIB expression declines during hepatic stellate cell activation, and its overexpression reduces fibrosis in mice models. The mechanism involves NFIB directly repressing chemokine C─C motif ligand 5 (CCL5), thereby alleviating oxidative ...
Qianqian Chen +14 more
wiley +1 more source
Anomalous chiral transport with vorticity and torsion: Cancellation of two mixed gravitational anomaly currents in rotating chiral
Jaakko Nissinen, G. E. Volovik
openalex +1 more source
Dual‐Laser Optical Tweezers for Photothermal Analysis of Hybrid Microgels
Dual‐laser optical tweezers unlock real‐time, single‐particle resolution of light‐driven actuation. Direct visualization and precise quantification of size changes under varying laser intensity provide new insights, overcoming limitations of conventional microscale actuator analysis.
Se‐Hyeong Jung +4 more
wiley +1 more source
Towards Robust Hyperspectral Anomaly Detection: Decomposing Background, Anomaly, and Mixed Noise via Convex Optimization [PDF]
Koyo Sato, Shunsuke Ono
openalex +1 more source
Atmospheric Mixed Layer Convergence from Observed MJO Sea Surface Temperature Anomalies [PDF]
Simon P. de Szoeke, Eric D. Maloney
openalex +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
Bioinformatics-Inspired IMU Stride Sequence Modeling for Fatigue Detection Using Spectral-Entropy Features and Hybrid AI in Performance Sports. [PDF]
Biró A, Kovács L, Szilágyi L.
europepmc +1 more source

