These findings suggest higher brain pulsatility as a potential risk factor contributing to cortical thinning for some brain regions more than others.
  Workplace health promotion activities have a positive effect on emotions. Zentangle art relaxes the body and mind through the process of concentrating while painting, achieving a healing effect. This study aimed to promote the physical and mental health of rural healthcare workers through Zentangle art-based intervention.
 
  This was a quasi-experimental pilot study.
 
  A Zentangle art workshop was held from November 2019 to July 2020.  https://www.selleckchem.com/products/apoptozole.html  A total of 40 healthcare workers were recruited. The participants were asked to provide baseline data, and the Brief Symptom Rating Scale (BSRS-5), work stress management effectiveness self-rating scale, General Self-Efficacy Scale (GSES), and Workplace Spirituality Scale (WSS) were administered before and after the workshop. SPSS 22.0 statistical package software was used to conduct the data analysis.
 
  The median age (interquartile range [IQR]) was 32.00 years (23.00-41.75 years). The Wilcoxon signed-rank test revealed that the median (IQR) BSRS-5 postintervention score was 4lace. It is beneficial and cost-effective and can serve as a benchmark for peer learning.
 The study provides evidence that painting therapy can effectively relieve stress, reduce workplace stress and frustration, enhance self-efficacy, and increase commitment to work among healthcare workers, thus improving their physical, mental, and spiritual well-being. Zentangle art provides employees with multiple channels for expressing their emotions and can improve the physical and mental health of healthcare workers in the workplace. It is beneficial and cost-effective and can serve as a benchmark for peer learning.
  The aim of the study was to explore associations between active and receptive arts participation and all-cause mortality among adults in the United States population.
 
  This was a prospective cohort study.
 
  Data were derived from the Health and Retirement Study. Separate Cox proportional hazards models were constructed for two cohorts (2012 and 2014) to examine associations between arts participation and mortality.
 
  Independent of sociodemographic and health factors, participants aged ≥65 years had a higher mortality risk if they did not engage in music listening, hazard ratio (HR) 1.39 (95% confidence interval [CI] 1.12-1.71); singing/playing an instrument, HR 1.49 (95% CI 1.07-2.0); or doing arts and crafts, HR 1.39 (95% CI 1.00-1.92). For participants aged <65 years, there was a higher mortality risk if they did not listen to music, HR 1.79 (95% CI 1.07-3.01). Older participants from the 2014 cohort had a higher mortality risk if they did not engage in active arts, HR 1.73 (95% CI 1.08-2.77).
 
  Engagement in the arts was associated with lower risk of mortality even after risk adjustment, especially for adults aged ≥65 years. Greater access and integration of arts in everyday life is recommended.
 Engagement in the arts was associated with lower risk of mortality even after risk adjustment, especially for adults aged ≥65 years. Greater access and integration of arts in everyday life is recommended.
  The aim of this study was to investigate the association between different intensities and frequencies of non-occupational physical activity (PA) and the risk of dementia among Japanese older adults.
 
  This was a prospective cohort study.
 
  A total of 2194 participants aged ≥65 years from the Japan Gerontological Evaluation Study were followed up between 2010 and 2016. The standardised dementia scale of the long-term care insurance system was used to identify incident dementia, whereas non-occupational PA (<2 or ≥2 times/week on each intensity light, moderate and vigorous) was assessed using a questionnaire. Cox regression was used to compute the hazard ratios (HRs) and 95% confidence intervals (CIs) for incident dementia.
 
  After adjustment for sociodemographic and medical characteristics, the following frequencies and intensities of non-occupational PA, compared with no non-occupational PA at all, were associated with a reduced risk of dementia light PA ≥2 times/week (HR=0.61, 95% CI 0.38-0.97), moderate PA <2 times/week (HR=0.46, 95% CI 0.28-0.76), moderate PA ≥2 times/week (HR=0.57, 95% CI 0.36-0.91), vigorous PA <2 times/week (HR=0.40, 95% CI 0.21-0.74) and vigorous PA ≥2 times/week (HR=0.29, 95% CI 0.15-0.57). In the sex-specific analysis, moderate PA <2 times/week and vigorous PA ≥2 times/week were associated with a reduced risk of dementia in men, whereas light and moderate PA ≥2 times/week and all frequencies of vigorous PA were associated with a reduced risk of dementia in women.
 
  Practicing non-occupational PA was associated with a reduced risk of dementia among Japanese older adults.
 Practicing non-occupational PA was associated with a reduced risk of dementia among Japanese older adults.Deep learning models achieve strong performance for radiology image classification, but their practical application is bottle-necked by the need for large labeled training datasets. Semi-supervised learning (SSL) approaches leverage small labeled datasets alongside larger unlabeled datasets and offer potential for reducing labeling cost. In this work, we introduce NoTeacher, a novel consistency-based SSL framework which incorporates probabilistic graphical models. Unlike Mean Teacher which maintains a teacher network updated via a temporal ensemble, NoTeacher employs two independent networks, thereby eliminating the need for a teacher network. We demonstrate how NoTeacher can be customized to handle a range of challenges in radiology image classification. Specifically, we describe adaptations for scenarios with 2D and 3D inputs, uni and multi-label classification, and class distribution mismatch between labeled and unlabeled portions of the training data. In realistic empirical evaluations on three public benchmark datasets spanning the workhorse modalities of radiology (X-Ray, CT, MRI), we show that NoTeacher achieves over 90-95% of the fully supervised AUROC with less than 5-15% labeling budget. Further, NoTeacher outperforms established SSL methods with minimal hyperparameter tuning, and has implications as a principled and practical option for semi-supervised learning in radiology applications.