Abstract Air separation via selective adsorption using porous adsorbents offers energy‐efficient alternatives to cryogenic distillation for producing high‐purity O2 and N2. Adsorbent efficacy depends on balancing selectivity, durability, and performance consistency across varying conditions. This comprehensive review critically discusses the design and
Tianqi Wang +9 more
wiley +1 more source
Journals Operating Predatory Practices Are Systematically Eroding the Science Ethos: A Gate and Code Strategy to Minimise Their Operating Space and Restore Research Best Practice. [PDF]
Timmis K +19 more
europepmc +1 more source
Cultural Competence or Cultural Humility? Moving Beyond the Debate. [PDF]
Greene-Moton, Ella, Minkler, Meredith
core
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
Mini-Symposium: Training the Trainers of the Next Generation of Neuroscience Advocates. [PDF]
Hartvigsen SC +6 more
europepmc +1 more source
Reflections Towards the Future of Medical Informatics. [PDF]
Haux R.
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
A plan for systematic reviews for high-need areas in forensic science. [PDF]
Chin JM +4 more
europepmc +1 more source
Scientific memoirs, selected from the transactions of Foreign Academies of Science, and learned Societies, and from Foreign Journals [PDF]
openaire +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

