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Showing 20 of 206 academic articles

Evolution of psychological distress with age and its determinants in later life: evidence from 17-wave social survey data in Japan

Takashi Oshio • BMC Public Health (2024)

Abstract Background Psychological distress (PD) is a major risk factor for mental health among middle-aged and older adults and affects their quality of life and well-being. This study aimed to examine the evolution of PD with age and the r...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-024-19912-w

Drinking patterns and alcohol use disorders in São Paulo, Brazil: the role of neighborhood social deprivation and socioeconomic status.

Camila Magalhães Silveira, Erica Rosanna Siu, James C Anthony, Luis Paulo Saito et al. • PLoS ONE (2014)

Research conducted in high-income countries has investigated influences of socioeconomic inequalities on drinking outcomes such as alcohol use disorders (AUD), however, associations between area-level neighborhood social deprivation (NSD) a...

DOAJ Open Access (DOAJ) DOI: 10.1371/journal.pone.0108355

Public Health Communication

• Routledge eBooks (2002)

Contents: Preface. Introduction. R. Hornik, Public Health Communication: Making Sense of Contradictory Evidence. Part I: Deliberate Trials. J.K. Worden, B.S. Flynn, Using Mass Media to Prevent Cigarette Smoking. P. Palmgreen, L. Donohew, E....

OPENALEX DOI: https://doi.org/10.4324/9781410603029

Metabolomic Profile Alterations Associated with the SLC16A11 Risk Haplotype Following a Lifestyle Intervention in People With Prediabetes

Magdalena Sevilla-González, Maria Fernanda Garibay-Gutiérrez, Arsenio Vargas-Vázquez, Andrea Celeste Medina-García et al. • Current Developments in Nutrition (2024)

Background: A risk haplotype in SLC16A11 characterized by alterations in fatty acid metabolism emerged as a genetic risk factor associated with increased susceptibility to type 2 diabetes (T2D) in Mexican population. Its role on treatment r...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.cdnut.2024.104444

Predictive model for 5-year mortality after breast cancer surgery in Taiwan residents

Su-Hsin Huang, Joon-Khim Loh, Jinn-Tsong Tsai, Ming-Feng Houg et al. • Chinese Journal of Cancer (2017)

Abstract Background Few studies of breast cancer surgery outcomes have used longitudinal data for more than 2 years. This study aimed to validate the use of the artificial neural network (ANN) model to predict the 5-year mortality of breast...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40880-017-0192-9

A longitudinal study on students’ self-regulated listening during transition to an English-medium transnational university in China

Sihan Zhou, Gene Thompson • Studies in Second Language Learning and Teaching (2023)

Listening to academic content in English medium instruction (EMI) classrooms at university can be a demanding task for students who transition from first language (L1) instructed secondary schools. This longitudinal mixed methods study anal...

DOAJ Open Access (DOAJ) DOI: 10.14746/ssllt.38281

Research on high-precision recognition model for multi-scene asphalt pavement distresses based on deep learning

Sheng Zhang, Zhenghao Bei, Tonghua Ling, Qianqian Chen et al. • Scientific Reports (2024)

Abstract Accurate detection of asphalt pavement distress is crucial for road maintenance and traffic safety. However, traditional convolutional neural networks usually struggle with this task due to the varied distress patterns and complex ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-024-77173-4

Artificial Neural Network (ANN) Approach to Predict Tensile Properties of Longitudinally Placed Fiber Reinforced Polymeric Composites including Interphase

Sagar Chokshi, Piyush Gohil, Vijay Parmar, Vijaykumar Chaudhary • Mechanics of Advanced Composite Structures (2025)

Machine Learning has become prevalent nowadays for predicting data on the mechanical properties of various materials and is widely used in various polymeric applications. In the present study, Artificial Neural Network (ANN), a computationa...

DOAJ Open Access (DOAJ) DOI: 10.22075/macs.2024.33874.1664

When more is not always better: exercise dose and children’s cognitive development from an interpretable machine learning perspective

Wenbing Zhu, Weiqiang Zhang, Liming Yong • Frontiers in Psychiatry (2026)

BackgroundExercise intervention has been associated with cognitive development in children. However, current study methods have not clarified the potential nonlinear association between exercise dosage and cognitive ability, and interpretab...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpsyt.2026.1908580