Results 201 to 210 of about 758,244 (273)
Convergence Analysis of Controlled Particle Systems Arising in Deep Learning: From Finite to Infinite Sample Size. [PDF]
Liao H, Mészáros AR, Mou C, Zhou C.
europepmc +1 more source
Wafer‐Scale 3D Integration for High‐Density Multi‐Valued Neuromorphic Logic
Wafer‐scale 3D vertically integrated multi‐valued logic (MVL) circuits are realized by monolithically integrating a Te/IGZO heterojunction FET with an engineered Te pull‐up FET. Heterointerface‐mediated transport and optimized current matching enable stable ternary operation, while vertical stacking reduces circuit footprint and interconnect complexity,
Chang‐Hyeon Kim +5 more
wiley +1 more source
Effect of host movement on the prevalence of vector-borne diseases. [PDF]
Gao D, Lou Y.
europepmc +1 more source
This study establishes a universally applicable framework for vesicle surface analysis by combining engineered amyloid‐β‐displaying nanovesicles with machine‐learning‐optimized impedance spectroscopy. Equivalent‐circuit modeling reveals that membrane capacitance correlates with the surface protein states, enabling label‐free quantification of vesicle ...
Jaeyoon Song +5 more
wiley +1 more source
Causal Effects on Nonterminal Event Time With Application to Antibiotic Usage and Future Resistance. [PDF]
Zehavi T, Obolski U, Chowers M, Nevo D.
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 novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains. [PDF]
Kumar Y, Ramalingam S, Zegeye GB.
europepmc +1 more source
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu +8 more
wiley +1 more source
An intelligent decision model for optimizing industrial power consumption using q-fraction fuzzy information. [PDF]
Ahmed M, Ashraf S, Saqib M, Tulu A.
europepmc +1 more source
By merging centrifugal microfluidics, precise temperature control, and AI image recognition, T‐PhaseMap transforms biomolecular condensate phase mapping into a rapid, temperature‐resolved workflow. It generates 3D composition–temperature phase diagrams within 30 min, resolves four phase states, and uncovers temperature‐dependent heparin sodium ...
Jiashuo Li +6 more
wiley +1 more source

