Results 271 to 280 of about 1,211,871 (328)
1Artificial Intelligence and Mathematics Education: Expectations and Questions
Nicolas Balacheff
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Climate Change Agricultural Comparative Advantage and the US Trade Balance
ABSTRACT Current science indicates that warming and elevated atmospheric CO2 will have ambiguous results for crop productivity depending on crop type and geographic location, whereas increased heat stress makes livestock and human labor less productive.
Elizabeth A. Fraysse +2 more
wiley +1 more source
Combinatorial Nb‐doped TiO2 wafers with a lateral dopant gradient enable rapid mapping of how phase composition and defects influence photocatalytic activity. Optimized Nb content generates mixed anatase–rutile phases together with beneficial Ti3+ and oxygen vacancy defects, boosting dye‐degradation efficiency fivefold.
Raja Elrahoumi +10 more
wiley +1 more source
Abstract The development of advanced absorbents for effectively capturing carbon dioxide is crucial in mitigating greenhouse gas emissions. This study introduced a series of deep eutectic solvents (DESs) for CO2 capture and identified the most promising DESs with the stepwise screening method based on their absorption capacity, absorption rate, thermal
Qiangbing Shi +7 more
wiley +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +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
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
According To The Students of Science Teacher Education; Why Is Mathematics? How Mathematics?
Ömer ÇETİN
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Advanced Experiment Design Strategies for Drug Development
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang +3 more
wiley +1 more source
A Bibliometrics Study of Two Decades of Geogebra Research in Mathematics Education
Bakri Awaji +2 more
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