Results 151 to 160 of about 293,407 (259)

Multifactor Risk Stratification for Post‐Transplant Alcohol Relapse Using Abstinence, Psychosocial, and Socioeconomic Factors

Annals of Gastroenterological Surgery, EarlyView.
Alcohol relapse after liver transplantation is difficult to predict using abstinence duration alone. We developed a multifactor model integrating abstinence duration, psychosocial risk (SIPAT), and socioeconomic context (AUC 0.70). This approach may support individualized risk assessment and tailored follow‐up intensity; external validation is needed ...
Ayato Obana, Garren Montgomery, Miho Akabane, Matthew Hamilton, Navdeep Singh, Musab Alebrahim, Austin Schenk, Sylvester Black, Kenneth Washburn, Khalid Mumtaz   +9 more
wiley   +1 more source

Understanding adolescent substance abuse in a Northern Cape township: Educators' experiences and perceptions. [PDF]

Health SA
Mohomane KE, Napoles L, Ngcobo S, Mbatha NAN.   +3 more
europepmc   +1 more source

Alcohol Consumption Is a Risk Factor of Surgical Site Infection After Minimally Invasive Surgery: A Secondary Observational Analysis of a Clinical Trial

Annals of Gastroenterological Surgery, EarlyView.
Alcohol consumption was independently associated with Surgical Site Infection in the gastroenterological Minimally Invasive Surgery. Whether preoperative abstinence from alcohol prevents the occurrence of SSI warrants further investigation. ABSTRACT Background Surgical site infection (SSI) is one of the postoperative complications. Risk factors for SSI
Toshiya Akai, Makoto Takeda, Eisuke Booka, Tomohiro Matsumoto, Masayo Takaoka, Mayu Sakata, Yoshifumi Morita, Hirotoshi Kikuchi, Yoshihiro Hiramatsu, Hiroya Takeuchi   +9 more
wiley   +1 more source

Advances in Thermal Modeling and Simulation of Lithium‐Ion Batteries with Machine Learning Approaches

Advanced Intelligent Discovery, EarlyView.
Heat generation in lithium‐ion batteries affects performance, aging, and safety, requiring accurate thermal modeling. Traditional methods face efficiency and adaptability challenges. This article reviews machine learning‐based and hybrid modeling approaches, integrating data and physics to improve parameter estimation and temperature prediction ...
Qi Lin, Kang Fu, Junjie Ding, Kai Sun, Peng Tan   +4 more
wiley   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

Unshackling our youth from the chains of substance abuse as disaster risk. [PDF]

Front Public Health
Sobane K, Lunga W, Ramaphakela T, Baloyi C.   +3 more
europepmc   +1 more source

An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification

Advanced Intelligent Systems, EarlyView.
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li, Ailing Gao, Guoxu Liu, Chunlei Chen, Yonghui Zhang, Sunkyoung Kang, M. Khosravi   +6 more
wiley   +1 more source

The relationship of university students' attitudes towards future with substance abuse proclivity. [PDF]

BMC Public Health
Özer D, Şahin Altun Ö, Akyüz M.
europepmc   +1 more source

An Intelligent Feature Engineering‐Driven Hybrid Framework for Adversarial Domain Name System Tunneling Detection

Advanced Intelligent Systems, EarlyView.
This study presents a novel framework that enhances the reliability of DNS traffic monitoring using a hybrid long short‐term memory‐deep neural network (LSMT‐DNN) architecture, enabling robust detection of adversarial DNS tunneling. The proposed framework leverages feature extraction from DNS traffic patterns, including domain request sequences, query ...
Ahmad Almadhor, Shtwai Alsubai, Monji Mohamed Zaidi, Natalia Kryvinska, Abdullah Al Hejaili, Sidra Abbas   +5 more
wiley   +1 more source

Bidirectional Associations Between Substance Abuse and Psoriasis: A Prospective Cohort Study. [PDF]

Psoriasis (Auckl)
Che X, Zhou J, Wang A, Guo J, Zhang C, Xiao Y.   +5 more
europepmc   +1 more source