Results 111 to 120 of about 2,346,046 (261)

A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni, Md. Alif Sheakh, Mst. Sazia Tahosin, Md. Zahid Hasan, Taslima Ferdaus Shuva, Touhid Bhuiyan, Muhammad Ali Abdullah Almoyad, Nabil Anan Orka, Md. Tanvir Rahman, Risala Tasin Khan, M. Shamim Kaiser, Mohammad Ali Moni   +11 more
wiley   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

Mental health problems of asymptomatic or mildly symptomatic COVID-19 patients in hospitel in Thailand: A cross-sectional study [version 3; peer review: 2 approved]

F1000Research
Background There is evidence that patients with COVID-19 have a higher prevalence of mental health problems than the normal population. This study aimed to investigate the prevalence of mental health problems and their associated factors in patients with
Yingrat Naviganuntana, Nongnuch Polruamngern, Pantri Kirdchok, Chayut Wonglertwisawakorn, Chotiman Chinvararak, Nitchawan Kerdcharoen   +5 more
doaj   +1 more source

Machine Learning‐Driven Digital Twin of a Field‐Effect Transistor‐Based Hormone Biosensor for Real‐Time Estradiol Monitoring

Advanced Intelligent Systems, EarlyView.
A machine learning‐driven digital twin simulates an aptamer‐functionalized BioFET measuring 17β‐estradiol. Real‐time Isd signals are processed, features are extracted, and trained models estimate hormone concentration. In parallel, a one‐step‐ahead forward model learns biosensor dynamics and generates realistic synthetic signals, enabling in silico ...
Anastasiia Gorelova, Alexandra Parichenko, Shirong Huang, Santiago Melia, Gianaurelio Cuniberti   +4 more
wiley   +1 more source

The Importance of Care Irrespective of Cure: The Daily Living Realities and the Service Experiences of Families with Children with Complex Mental Health Problems [PDF]

, 2004
This report summarizes the results of in-depth interviews conducted in the Summer of 2001 with parents from 12 families that had children who were or had been involved with an intensive, community-based service for children with complex mental health ...
Coady, Nick
core   +1 more source

Giving and receiving help in three contexts as predictors of alcohol outcomes in a longitudinal study of sober living house residents

American Journal of Community Psychology, EarlyView.
Abstract Although peer support is central to the social model approach emphasized in sober living houses (SLHs), no longitudinal studies have examined helping among SLH residents. This longitudinal study examined benefits of helping in three contexts among SLH residents. Data were from 205 participants entering 28 SLHs across 2021–2023. Interviews were
Sarah E. Zemore, Elizabeth Mahoney, Meenakshi S. Subbaraman, Amy A. Mericle, Douglas L. Polcin   +4 more
wiley   +1 more source

National mental health policy 2008 [PDF]

The vision of the National Mental Health Policy 2008 is for a mental health system that: enables recovery prevents and detects mental illness early ensures that all Australians with a mental illness can access effective and appropriate treatment and

core  

Neighborhood social environments and mental health among youth and adults in public housing

American Journal of Community Psychology, EarlyView.
Abstract Neighborhoods influence health in part through social processes. However, little is known about how multiple neighborhood social processes co‐occur, or about within (vs. between) neighborhood variation in social processes and health. This study asked how residents of a large public housing development describe their neighborhood and used ...
Jane Leer, Lindsay Lanteri, Rebekah Levine Coley, Samantha Teixeira   +3 more
wiley   +1 more source

A community‐driven approach to address substance use and create a Great Plains American Indian addiction and recovery research agenda

American Journal of Community Psychology, EarlyView.
Abstract Substance use, specifically opioid and methamphetamine use, is of increasing concern among American Indian (AI) populations in the Great Plains. This community‐driven participatory study investigated the impacts of substance use and community‐defined needs in treating addiction.
Brynn Luger, Anna Kihlström, Brinda Sivaramakrishnan, Allison Kelliher, Frankie Kropp, Carmen Rosa, T. John Winhusen, Donald Warne, the CTN0129 participating Tribal communities   +8 more
wiley   +1 more source

Japanese family physicians' attitudes, difficulties, and perceived significance in managing mental health problems: A qualitative study

Journal of General and Family Medicine
Background Family physicians (FPs) are expected to identify, diagnose, and treat mental health problems. Despite challenges such as limited time and low confidence in their skill as mental health providers, FPs generally consider mental health as a ...
Natsuki Kajikawa, Shoji Yokoya, Sachiko Ozone   +2 more
doaj   +1 more source