Results 171 to 180 of about 547,900 (269)

Distinct scars: unique effects of physical and sexual abuse on mental health outcomes in a gender-specific substance use disorder sample in Brazil from 1998 to 2024. [PDF]

Arch Womens Ment Health
Gomes MNS, Di Santi T, Wolff L, Barbosa SL, Tomazela JV, Mendes ACB, Tótolo P, Jeng Chian Suen P, Santos AAM, Brasiliano S, Hochgraf PB, Bacchi PS.   +11 more
europepmc   +1 more source

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

Patterns of pregabalin misuse: Need for intervention. [PDF]

Indian J Med Res
Sarvepalli T, Mewada S, Shukla S, Kalaiselvan V.   +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

Changes in Internet Search Term Popularity in Elder Mistreatment (2018-2023): Infodemiology Study of Google Trends Data. [PDF]

JMIR Form Res
Sevey N, Livingston M, Lees-Haggerty K, Ojelabi O, Campetti R, Burnett J, Pickering CEZ, Hancock D, Sabharwal R, Cannell MB.   +9 more
europepmc   +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

Violence Against Women in Spanish Prisons: A Socio-Educational Analysis from a Sustainable Development Perspective. [PDF]

Behav Sci (Basel)
Añaños FT, Moraleda-Ruano Á, Galán-Casado D, Corpodean AD.   +3 more
europepmc   +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

Cognitive reappraisal mediated the relationship between childhood emotional neglect and suicidality in depressed adolescents and young adults with NSSI behavior. [PDF]

Front Psychiatry
Pan K, Hu T, Yan G, Zhao G, Wang Y, Peng W, Liu Z, Zhang S, Hu L.   +8 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