Results 201 to 210 of about 185,104 (250)

Relationship Between GLIM‐Defined Malnutrition and Postoperative Outcomes After Curative Resection in Patients With Gastroenterological Cancer: Update Systematic Review and Meta‐Analysis

Annals of Gastroenterological Surgery, EarlyView.
GLIM‐defined malnutrition probably worsens overall survival in patients with gastroenterological cancer after surgery. ABSTRACT Background In cancer patients, malnutrition worsens postoperative outcomes, with increased complications and poor prognosis.
Ryota Matsui, Jun Watanabe, Kazuma Rifu, Souya Nunobe, Noriyuki Inaki   +4 more
wiley   +1 more source

Belief updating when confronted with scientific evidence: Examining the role of trust in science. [PDF]

Public Underst Sci
Rosman T, Grösser S.
europepmc   +1 more source

Bona Fide Intersegmental Plane Hepatectomy Along the Glissonean Branches (BIPHG)

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT This review traces the author's personal journey over three decades in the evolution of liver resection techniques, culminating in the proposal of the Bona Fide Intersegmental Plane Hepatectomy Along Glissonean Branches (BIPHG). Beginning with pioneering experiences in laparoscopic and robotic liver surgeries, the author highlights key ...
Go Wakabayashi, Taiga Wakabayashi
wiley   +1 more source

Correction to: Belief Updating, Childhood Maltreatment, and Paranoia in Schizophrenia-Spectrum Disorders. [PDF]

Schizophr Bull
europepmc   +1 more source

A Computational Analysis of Abnormal Belief Updating Processes and Their Association With Psychotic Experiences and Childhood Trauma in a UK Birth Cohort.

Biol Psychiatry Cogn Neurosci Neuroimaging, 2022
Croft J, Teufel C, Heron J, Fletcher PC, David AS, Lewis G, Moutoussis M, FitzGerald THB, Linden DEJ, Thompson A, Jones PB, Cannon M, Holmans P, Adams RA, Zammit S.   +14 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

Closed-minded cognition: Right-wing authoritarianism is negatively related to belief updating following prediction error. [PDF]

Psychon Bull Rev, 2020
Sinclair AH, Stanley ML, Seli P.
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

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

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source