Correlation detection as a stimulus computable account for audiovisual perception, causal inference, and saliency maps in mammals. [PDF]
Parise CV.
europepmc +1 more source
Achieving Chemical Accuracy in Cyclodextrin Host–Guest Binding via Integrative Atomistic Modelling
A generalizable computational framework is presented that overcomes long‐standing challenges in modelling cyclodextrin host‐guest binding by integrating host‐specific force‐field refinement, equilibrium enhanced sampling, nonequilibrium alchemical switching, convolution sampling of independent works, rigorous finite‐size corrections, and QM‐based ...
Xiaohui Wang +7 more
wiley +1 more source
Strategic integration of marketing and supply chain functions for superior customer experience: Insights from logistics startups under Saudi Vision 2030. [PDF]
Alahmari D, Awad A.
europepmc +1 more source
A femtosecond UV pump–probe microscope resolves binding‐induced changes in protein excited‐state dynamics and converts these intrinsic contrasts into an equilibrium affinity readout. By probing tryptophan responses directly in solution, the approach enables quantitative determination of dissociation constants without labeling or immobilization ...
Jianghao Shen +5 more
wiley +1 more source
Robust learning for ridge-penalized quasi-GLMs under non-identical distributions. [PDF]
Zhang H, Tian W, Yao Q, Wang P, Zhang B.
europepmc +1 more source
SAGE is a unified framework for spatial domain identification in spatial transcriptomics that jointly models tissue architecture and gene programs. Topic‐driven gene selection (NMF plus classifier‐based scoring) highlights spatially informative genes, while dual‐view graph embedding fuses local expression and non‐local functional relations.
Yi He +5 more
wiley +1 more source
Properties of Residual Cumulative Sharma-Taneja-Mittal Model and Its Extensions in Reliability Theory with Applications to Human Health Analysis and Mixed Coherent Mechanisms. [PDF]
Mohamed MS, Sakr HH.
europepmc +1 more source
Microbial synthesis of nanomaterials (NMs) is eco‐friendly, but the screening of microorganisms is limited by inefficient traditional methods (currently only involving∽400 microorganisms/90 NMs). We propose AI framework MicrobeDiscover, integrating a knowledge graph of microbe‐NM interactions.
Ludi Wang +12 more
wiley +1 more source
Revisiting the excess volatility puzzle through the lens of the Chiarella model. [PDF]
Kurth JG, Majewski AA, Bouchaud JP.
europepmc +1 more source

