Results 141 to 150 of about 31,907 (265)

Single‐Incision Laparoscopy‐First Strategy in Crohn's Disease: Risk Factors for Conversion and Surgical Outcomes

Annals of Gastroenterological Surgery, EarlyView.
In this retrospective study of 289 patients with Crohn's disease undergoing a single‐incision laparoscopy‐first (SILS‐first) strategy, conversion to open surgery was required in only 11.8% of cases. Fistula formation, colon resection, and smoking history were identified as independent risk factors for conversion, while postoperative complications and ...
Yuki Horio, Motoi Uchino, Yusuke Tomoo, Kentaro Nagano, Kurando Kusunoki, Ryuichi Kuwahara, Kei Kimura, Kozo Kataoka, Masataka Ikeda, Hiroki Ikeuchi   +9 more
wiley   +1 more source

Development and Reliability Test of the Intravenous Thrombolysis Intention Scale for Patients With Acute Ischemic Stroke. [PDF]

Nurs Open
Li D, Ma K, Fan W, Gao R, Yang C, Guo LN, Dong X, Lv P, Wang M, Gao H, Liu Y, Guo Y.   +11 more
europepmc   +1 more source

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

Influenza vaccination intention among emergency medical service personnel: examining the role of health perception within the theory of planned behavior. [PDF]

BMC Public Health
Uyar DŞ, Şahin T.
europepmc   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source

Factors Associated with the Intention to Adopt Digital Health Technologies for Physical Activity Among People with Disabilities: An Integrated Technology Acceptance Model-Theory of Planned Behavior Framework. [PDF]

Healthcare (Basel)
Park J, Lee H, Kwon Y, Cho G, Yun J.
europepmc   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Attitudes or norms? Self-esteem as a moderator of gaming intentions and gaming-related outcomes. [PDF]

BMC Psychol
Doh SJ, Hwang JS.
europepmc   +1 more source

A Multimodal Intelligent System for Human Digital Twin Simulation with Continuous Kinematic Data Tracking, Biometric Prognosis, and Cognitive State Feedback in Industrial Environments

Advanced Intelligent Discovery, EarlyView.
This article implements a unified human digital twin framework that integrates cutting edge actuation, sensing, simulation, and bidirectional feedback capability. The approach includes integrating multimodal sensing, AI, and biomechanical simulation into one compact system.
Tajbeed Ahmed Chowdhury, Sebastian Gratz‐Kelly, Eric Wagner, Paul Motzki, Martina Lehser   +4 more
wiley   +1 more source

DeepMapper: Attention‐Based AutoEncoder for System Identification in Wound Healing and Stage Prediction

Advanced Intelligent Discovery, EarlyView.
The authors develop a deep learning model for real‐time tracking of wound progression. The deep learning framework maps the nonlinear evolution of a time series of images to a latent space, where they learn a linear representation of the dynamics. The linear model is interpretable and suitable for applications in feedback control.
Fan Lu, Ksenia Zlobina, Michael Briden, Oscar Avalos, Héctor Carrión, Sebastian Osorio, Hsin‐ya Yang, Alexandra Nava, Michelle D. Bagood, Marco Rolandi, Roslyn Rivkah Isseroff, Marcella Gomez   +11 more
wiley   +1 more source