Results 181 to 190 of about 284,067 (289)

Evaluating the Efficacy of the Marburg Heart Score to Triage Patients Presenting With Chest Pain in an Emergency Department: A Prospective, Multicenter, Observational Study. [PDF]

Emerg Med Int
Druilhe L, Creusier L, Pasco J, Eloi J, Furet V, Roupie E, Macrez R.   +6 more
europepmc   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
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, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

RTMS Versus Fluvoxamine in the Treatment of OCD: A Randomized Open-label Pilot Study. [PDF]

Int J Med Sci
Qin Y, Cai L, Cheng L, Xiang L, Hu X.
europepmc   +1 more source

Synopsis of the work of the Court of Justice of the European Communities in 1974 [PDF]

, 1975

core  

Fishing in Troubled Waters: ECJ 27 February 2018, Case C-266/16, R (on the application of Western Sahara Campaign UK) v Commissioners for Her Majesty’s Revenue and Customs, Secretary of State for Environment, Food and Rural Affairs [PDF]

, 2019
Odermatt, J.
core   +1 more source

Structure and Spectroscopic Characterisation of Phenanthroline‐Based Iodobismuthate(III) Complexes Utilised for Raw Acoustic Signal Classification

Advanced Intelligent Discovery, EarlyView.
Memristors based on trimethylsulfonium (phenanthroline)tetraiodobismuthate have been utilised as a nonlinear node in a delayed feedback reservoir. This system allowed an efficient classification of acoustic signals, namely differentiation of vocalisation of the brushtail possum (Trichosurus vulpecula).
Ewelina Cechosz, Gisya Abdi, Andrzej Sławek, Marlena Gryl, Konrad Szaciłowski   +4 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
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, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Commentary: Hyperoside alleviates myocardial ischemia-reperfusion injury in heart transplantation by promoting mitochondrial fusion via activating the Stat3-Tom70-Opa1 pathway. [PDF]

Front Pharmacol
Yang Q, Liu Y, Tang X.
europepmc   +1 more source

The shortcomings of Dublin II: Strasbourg’s M.S.S. Judgment and its implications for the European Union’s legal order [PDF]

, 2012
Gragl, P.
core  

A Generalized Framework for Data‐Efficient and Extrapolative Materials Discovery for Gas Separation

Advanced Intelligent Discovery, EarlyView.
This study introduces an iterative supervised machine learning framework for metal‐organic framework (MOF) discovery. The approach identifies over 97% of the best performing candidates while using less than 10% of available data. It generalizes across diverse MOF databases and gas separation scenarios.
Varad Daoo, Jayant K. Singh
wiley   +1 more source