Results 201 to 210 of about 131,578 (290)
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang +6 more
wiley +1 more source
Fact-checking my CaRMS letter, or a Valentine to urology. [PDF]
Leveridge M.
europepmc +1 more source
Self-protection by fact-checking: How pandemic information seeking and verifying affect preventive behaviours. [PDF]
Zhao X, Tsang SJ.
europepmc +1 more source
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
Relevance theory for mapping cognitive biases in fact-checking: an argumentative approach. [PDF]
Masotina M, Musi E, Yates S.
europepmc +1 more source
Responses to digital disinformation as part of hybrid threats: a systematic review on the effects of disinformation and the effectiveness of fact-checking/debunking. [PDF]
Arcos R +3 more
europepmc +1 more source
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai +3 more
wiley +1 more source
Analyzing the use of fact-checking tools in disaster-risk reduction in Europe through the lens of the heuristic-systematic model. [PDF]
Komendantova N +2 more
europepmc +1 more source
Facebook versus The BMJ: when fact checking goes wrong.
Coombes R, Davies M.
europepmc +1 more source
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram +4 more
wiley +1 more source

