Results 211 to 220 of about 1,254,463 (323)

Ternary Moral Empathy Model from the Perspective of Intersubjective Phenomenology. [PDF]

Behav Sci (Basel)
Zhao Z, Ma X.
europepmc   +1 more source

Emergency Cholecystectomy in Patients Classified as High Risk According to the Tokyo Guidelines 2018: A Real‐World Analysis

Annals of Gastroenterological Surgery, EarlyView.
Emergency cholecystectomy was evaluated in patients with acute cholecystitis classified as non‐recommended for surgery by the Tokyo Guidelines 2018. Major postoperative complications, rather than mortality, better reflected operative risk. Physiological instability, particularly ASA‐PS ≥ 3 and shock status, identified high‐risk patients, suggesting ...
Satoshi Mii, So Yamaki, Daisuke Hashimoto, Kazuki Matsumura, Hiroyuki Ishida, Hidetaka Miyazaki, Yuki Matsui, Yuji Ikeda, Tsukasa Ikeura, Sohei Satoi   +9 more
wiley   +1 more source

Social Ontology: Collective Intentionality and Group Agents

Journal of Social Ontology, 2014
Leo Townsend
doaj  

Intergenerational healthcare ethics: considering conceptualizations of generations and their collective and temporal dimensions. [PDF]

Med Health Care Philos
Ellerich-Groppe N, Bozzaro C, Koesling D, Rehmann-Sutter C, Schicktanz S, Schweda M.   +5 more
europepmc   +1 more source

Experimental validation of the RESPONSE framework against cyberattacks on cyber‐physical process systems

AIChE Journal, EarlyView.
Abstract This work experimentally validates the RESPONSE (Resilient Process cONtrol SystEm) framework as a solution for maintaining safe, continuous operation of cyber‐physical process systems under cyberattacks. RESPONSE implements a dual‐loop architecture that runs a networked online controller in parallel with a hard‐isolated offline controller ...
Luyang Liu, Pu Du, Zaman Sajid, Benjamin Wilhite, Costas Kravaris, Faisal Khan   +5 more
wiley   +1 more source

Online moral deviance: an integrative review of digital behaviors. [PDF]

Front Psychol
Chen X, Saharuddin N, Yasin M, Wang M.
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

Conceptualizing and Measuring Support for Collective Violence. [PDF]

Aggress Behav
Abou-Ismail R, Phillips JB, Cichocka A, Çakmak H, Çoksan S, Sengupta NK.   +5 more
europepmc   +1 more source

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

<i>"I'm a Work in Progress"</i>: Rethinking Posttraumatic Growth Among Low-Income Black Men. [PDF]

Am J Mens Health
Green C, Noel ME.
europepmc   +1 more source