Results 171 to 180 of about 235,617 (265)
Uncertainty estimation for reliable neural network-based radiotherapy dose modelling using Monte Carlo dropout, mean variance estimation and deep ensemble. [PDF]
Schneider M +5 more
europepmc +1 more source
Ultrathin lithiophilic interlayers engineered on a 3D textile electrode and separator cooperatively regulate interfacial Li nucleation and Li+ transport, leading to homogeneous Li plating and mitigated dendrite formation. The resulting dual‐interfacial design provides long‐term cycling stability, improved full‐cell durability, and a scalable pathway ...
Chanseok Lee +12 more
wiley +1 more source
How Users Perceive and Respond to Digital Humans: A Scoping Review of Agency, Embodiment, Social Role, and Response Outcomes. [PDF]
Gong X, Zeng L.
europepmc +1 more source
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li +3 more
wiley +1 more source
A systematic mapping study method for software architecture research with LLM-assisted quality assessment. [PDF]
Olar A +4 more
europepmc +1 more source
A tumor‐state‐gated metallo‐DNAzyme framework integrates miR‐21/APE1‐responsive GLUT1 silencing with Ca/Cu‐partitioned metal–nucleic acid assembly and cystine loading. The framework first weakens glucose‐dependent metabolic buffering and then amplifies copper‐ and disulfide‐associated stress, converting tumor metabolic adaptation into programmable ...
Xiaodong Ma +8 more
wiley +1 more source
Knowledge-enhanced large language model construction for garlic cultivation using GraphRAG. [PDF]
Zhou K +7 more
europepmc +1 more source
MethyAnno enables robust and interpretable annotation of single‐cell DNA methylation data by integrating multi‐scale epigenetic information, bidirectional cross‐attention, and prototype‐based metric learning. The framework resolves rare and novel cell types across datasets while revealing cell‐type‐specific epigenetic signatures associated with disease
Yuhang Jia +4 more
wiley +1 more source
Adverse event reporting in healthcare-Regulatory frameworks, institutional governance, and economic implications with evidence from Poland. [PDF]
Pacian JA, Piekut MJ.
europepmc +1 more source

