Integrating experimental data and machine learning models for solubility prediction of yellow 23 in supercritical carbon dioxide. [PDF]
Sajadian SA +3 more
europepmc +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
The value of advanced practice nursing in Danish primary care: a case study of communicative and integrative mechanisms in community-based care. [PDF]
Laubek C, Thomsen JL.
europepmc +1 more source
Harnessing Machine Learning to Understand and Design Disordered Solids
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley +1 more source
Complementary AI in higher education: behavioral, cognitive, and ethical implications of ChatGPT and DeepSeek. [PDF]
Faisal E.
europepmc +1 more source
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
Estimation of district-level fertility using age-structured census data and assessment of spatial-socioeconomic differentials in Botswana, 2022. [PDF]
Monamo TT, Navaneetham K.
europepmc +1 more source
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
Integrating random forest-based regression kriging for analyzing spatial variability of rainfall in arid and semi-arid regions. [PDF]
Manaf M, Ali Z, Scholz M.
europepmc +1 more source

