Strategies for Paired Electrolysis with Enhanced Efficiency
This review summarizes the fundamentals, challenges, and strategies for paired electrolysis, with examples in the chlor‐alkali, hydrogen production, CO2 reduction, and ammonia synthesis industries. Future directions include the development of advanced membranes, computational studies, process integration, scale‐up, and techno‐economic analysis.
Yuanyuan Yao +6 more
wiley +1 more source
Safety evaluation in the weaving segment between minor roads and U-turns on arterial roadways. [PDF]
Amani K, Boroujerdian AM, Aali M.
europepmc +1 more source
STUDY OF THE STRUCTURE AND TECHNOLOGY OF PRODUCING PLUSH KNITTED FABRIC BASED ON A JACQUARD WEAVE
Oygul Imomkulovna Nurmamatova +4 more
openalex +1 more source
Central pancreatectomy (CP) better preserves postoperative pancreatic endocrine function than distal pancreatectomy for benign or low‐grade malignant tumors. The 75‐g oral glucose tolerance test demonstrated that CP maintained insulin secretion and glucose tolerance, highlighting its clinical advantage as a function‐preserving procedure.
Dongha Lee +9 more
wiley +1 more source
WEAVING THE TRANSNATIONAL ANTI-GENDER NETWORKS* [PDF]
Manuela Caiani, Ivan Tranfić
openalex +1 more source
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
Rainflakes, Ripples, and the Moonlit Ocean. [PDF]
Biswas S.
europepmc +1 more source
Prediction of the vehicle lane‐changing distance in an urban inter‐tunnel weaving section based on wavelet transform and dual‐channel neural network [PDF]
Changfeng Zhu +4 more
openalex +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
Developing scalable woven textile-based scaffolds for tubular tissues with Core-Sheath nanofibre yarns and tuneable weave architectures. [PDF]
Doersam A +3 more
europepmc +1 more source

