Results 221 to 230 of about 140,559 (302)

Decision-making preferences for intuition, deliberation, friends or crowds in independent and interdependent societies. [PDF]

Proc Biol Sci
Grossmann I, Rudnev M, Dorfman A, Atari M, Barr K, Bencherifa A, Buckwalter W, Clancy RF, Cuji Dahua G, Cuji Dahua N, Deguchi Y, Wilmer AL, Fabiano E, Guennoun B, Halamová J, Hashimoto T, Homan J, Kanovský M, Karasawa K, Kim H, Kiper J, Lee M, Liu X, Mitova V, Nair R, Pantovic L, Porter B, Quintanilla P, Reijer J, Romero PP, Sato Y, Singh P, Tber S, Wilkenfeld D, Yi L, Stich S, Barrett HC, Machery E.   +37 more
europepmc   +1 more source

AI in chemical engineering: From promise to practice

AIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew, Ronnie Andersson, Thomas Bierweiler, Patrik Ryttestal, Torsten Wik   +4 more
wiley   +1 more source

Translating an In-Class Deliberation Module to a Two-Year College Introductory Chemistry Course. [PDF]

J Chem Educ
Joseph R, Brown DR, Mehltretter SA, Knobloch KR, Roberts AJ, Conners P, Wysocki LM.   +6 more
europepmc   +1 more source

From claiming information to deliberating about it [PDF]

, 2010
Stitzlein, Sarah M.
core   +2 more sources

Clinical utility of pharyngeal high‐resolution manometry with impedance for upper esophageal sphincter dysfunction in gastroenterology

Advances in Digestive Medicine, EarlyView.
Abstract Pharyngeal high‐resolution manometry with impedance (P‐HRM‐I) is an established assessment method used to evaluate pharyngeal swallowing. It provides precise quantification of swallowing biomechanics that enable the detection of alterations in swallowing physiology.
Mistyka Schar, Taher Omari, Michal Szczesniak, Chien‐Lin Chen, Richard Heddle, Charles Cock   +5 more
wiley   +1 more source

Deliberation in Guesstimation. [PDF]

Cogn Sci
Salikutluk V, Jäkel F.
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

A Challenging Pulmonary Embolism: When Acute Meets Chronic Thrombus. [PDF]

J Soc Cardiovasc Angiogr Interv
Lee JCY, Singh N, Sakhuja R, Gallen R, Serhal M, Schainfeld R, Rosenfield K.   +6 more
europepmc   +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

Patient engagement and shared decision-making in trial recruitment intervention studies: a systematic review. [PDF]

Res Involv Engagem
Morgan TL, Hudek N, Carroll K, Yee ML, Inglis J, Fergusson DA, Gillies K, Richards DP, Semchishen SN, Presseau J, Grimshaw J, Graham ID, Rodger M, Taljaard M, Marlin S, Weijer C, MacLennan G, Brehaut JC.   +17 more
europepmc   +1 more source