Results 101 to 110 of about 82,972,811 (208)
IEEE AccessSparse Matrix-Dense Matrix Multiplication (SpMM) is a dominant computational bottleneck in Graph Neural Network (GNN) inference and training. Representative studies report that SpMM consumes roughly 30% of the execution time in some Graph Convolutional ...
Tariq Habib Afridi +2 more
doaj +1 more source
Thermochemical Micro‐Explosion for Prompt Thrombolysis via Proximal Injection of Liquid Alkali Metal
Advanced Science, EarlyView.We report a micro‐explosive thermochemical thrombolysis (METCT) therapy via injectable liquid alkali metal encapsulated in dimethyl silicone (LAM@oil). METCT enables prompt and safe vascular recanalization within 90 s. Critically, the LAM@oil system demonstrates significantly higher thrombolytic efficacy compared to clinically available thrombolytic ...
Xin Liao +7 more
wiley +1 more source
Finite Element Method for Solving the Screened Poisson Equation with a Delta Function
MathematicsThis paper presents a Finite Element Method (FEM) framework for solving the screened Poisson equation with a Dirac delta function as the forcing term.
Liang Tang, Yuhao Tang
doaj +1 more source
Advanced Science, EarlyView.A rational architectural design of hierarchical, CNT‐interwoven hollow carbon microclusters unlocks and stabilizes a unique monoclinic Co3Se4‐mediated conversion–insertion pathway for potassium storage. This structural confinement effectively guides the reaction kinetics and accommodates severe mechanical strain.
Ho Rim Kim +8 more
wiley +1 more source
Convex Feature Learning for Multiple Targets via Output Structure Information
IEEE AccessMulti-target regression has gained popularity owing to its ability to predict multiple outcomes simultaneously, with improved performance over single-target methods.
S. Puhazholi, F. Sagayaraj Francis
doaj +1 more source
Advanced Science, EarlyView.Decoupling biological signals from unwanted variation in multi‑condition single‑cell RNA sequencing data remains challenging. CAPER disentangles condition‑associated biological effects from sample heterogeneity through matrix factorization, producing interpretable latent factors and a batch‑corrected expression matrix.
Ye Li +6 more
wiley +1 more source
BICLUSTERING METHODS FOR RE-ORDERING DATA MATRICES IN SYSTEMS BIOLOGY, DRUG DISCOVERY AND TOXICOLOGY
Croatian Operational Research Review, 2010 Biclustering has emerged as an important problem in the analysis of gene expression data since genes may only jointly respond over a subset of conditions.
Christodoulos A. Floudas
doaj
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
Advanced Science, EarlyView.A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source
Advanced Science, EarlyView.A regenerative molecular sensing platform that co‐localizes surface‐enhanced Raman spectroscopy (SERS) sensing and nanocavitation‐based actuation. Femtosecond‐laser triggered nanocavitation produces thermomechanical forces to locally regenerate SERS‐active nanogaps in protein‐rich biofluids while preserving optical performance.
Aditya Garg +8 more
wiley +1 more source
Advanced Science, EarlyView.A DLN dataset was built to analyze MABS composition versus in vitro/in vivo osteogenesis and angiogenesis. An MLP neural network, taking BG morphological parameters as input, extracts bioactive features from these datasets. A rabbit tibial defect model then validates 4D‐printed MABS for adaptability and bone regeneration in critical defects.
Xiongjie Liang +12 more
wiley +1 more source