Results 201 to 210 of about 369,727 (288)

Impacts of an industrial deep-sea mining trial on macrofaunal biodiversity. [PDF]

Nat Ecol Evol
Stewart ECD, Wiklund H, Neal L, Bribiesca-Contreras G, Drennan R, Boolukos CMB, King LD, Rabone M, Valls Domedel G, Serpell-Stevens A, Arias MB, Dahlgren TG, Horton T, Glover AG.   +13 more
europepmc   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Transformer-based relation extraction and concept normalization using an annotated clinical trials corpus. [PDF]

Sci Data
Campillos-Llanos L, Valverde-Mateos A, Capllonch-Carrión A, González-Quevedo D, López-Urbán MR, Hernando-Tundidor MS, Zakhir-Puig S, Heras J.   +7 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Assessing the impact of environmental laws and technological advancements on carbon dioxide mitigation in China's mining industry. [PDF]

PLoS One
Xu D, Chen W, Chen Y, Wen J.
europepmc   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Unmet Occupational Health Needs of Malawian Ex-Miners from the South African Gold Mines. [PDF]

Ann Glob Health
Haridas R, Ehrlich R, Moyo Y, Yassi A, Spiegel J, Kalua K.   +5 more
europepmc   +1 more source

Flexible Memory: Progress, Challenges, and Opportunities

Advanced Intelligent Discovery, EarlyView.
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, Sen Chen, Minghui Guo, Ziliang Cui, Yujie Du, Jing Liu   +5 more
wiley   +1 more source

A Survey on Proof of Sequential Work: Development, Security Analysis, and Application Prospects. [PDF]

Entropy (Basel)
Zhang J, Ran Y, Huang X, Zuo C, Duan J, Pan Y, Wang L, Wang J.   +7 more
europepmc   +1 more source

Brief of Amici Curiae Members of Congress in Support of Respondents, Coeur Alaska, Inc. v. Southeast Alaska Conservation Council, Nos. 07-984 & 07-990 (U.S. Nov. 14, 2008) [PDF]

, 2008
Sabbeth, Kathryn A., Vladeck, David C.
core   +1 more source