The Evolving Landscape of Biochemistry and Molecular Biology Education: A Bibliometric Analysis of Trends, Omics Integration, and Future Directions. [PDF]
Wu B, Tan X, Du Z.
europepmc +1 more source
Bibliometric analysis reveals rising global research on physical activity and elderly health, dominated by developed nations. Key hotspots include healthy aging, physical activity's mental health benefits, and VR exercise interventions. Promoting physical activity is vital for healthy aging, requiring greater technology integration and research from ...
Hongman Wang +3 more
wiley +1 more source
Biographical Feature: In memory of Dennis Henry Bamford (1948-2025), who changed how we see viruses. [PDF]
Stuart DI, Fry EE, Abrescia NGA.
europepmc +1 more source
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
This work establishes a correlation between solvent properties and the charge transport performance of solution‐processed organic thin films through interpretable machine learning. Strong dispersion interactions (δD), moderate hydrogen bonding (δH), closely matching and compatible with the solute (quadruple thiophene), and a small molar volume (MolVol)
Tianhao Tan, Lian Duan, Dong Wang
wiley +1 more source
Global scientific trends on neuroimaging in obsessive-compulsive disorder in the early twenty-first century: a bibliometric analysis and visualization analysis. [PDF]
Zhou C +8 more
europepmc +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Local Pain Collectives: A Novel Strategy for Improving Pain Knowledge, Pain Care and Community Connectedness in Rural Settings. [PDF]
Grant AR +22 more
europepmc +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source

