Prevention of cervical and mandibular dysfunction in wind musicians: a randomized controlled trial [0.03%]
Clara Rodríguez-Gude,Yaiza Taboada-Iglesias,Margarita Pino-Juste
Clara Rodríguez-Gude
Objectives. Playing a wind instrument requires activation of the orofacial musculature. There is a relationship between the temporomandibular joint, the cervical musculature and the posture of the head. Few musicians report receiving specif...
Emine Gülsoy Altintaş,Ülken Tunga Babaoğlu
Emine Gülsoy Altintaş
Objectives. This study aimed to determine the prevalence of musculoskeletal disorders (MSDs) among ambulance workers and evaluate their ergonomic risk using the rapid entire body assessment (REBA) method. Methods. The cross-sectional study ...
Gender-based occupational challenges in the maritime industry: a comprehensive questionnaire validation [0.03%]
海运业的性别职业挑战：全面问卷验证
Umut Yildirim,Arda Toygar,Senem Nart et al.
Umut Yildirim et al.
Objectives. Ensuring occupational safety and well-being in high-risk industries necessitates addressing gender-based challenges that impact workforce ergonomics, productivity and retention. This study validates the workplace gender challeng...
Multiple configurational effects and analyses on construction workers' unsafe behaviors: a qualitative approach of fuzzy-set qualitative comparative analysis [0.03%]
建筑工人不安全行为的多重配置效应及分析：模糊集定性比较分析的定性方法
Qingfeng Meng,Wenyao Liu,Zewei Zhang et al.
Qingfeng Meng et al.
Objectives: Unsafe behaviors among construction workers are a leading cause of site accidents and injuries. While previous research has examined these behaviors in isolation, the complex causal mechanisms underlying their...
Evaluation of low-stress mechanical properties of cut protective workwear fabric made by using filament twisted core-sheath yarn [0.03%]
采用复丝芯抱合纱织物的防护作业服低应力机械性能评价研究
Md Zayedul Hasan,Rochak Rathour,Apurba Das et al.
Md Zayedul Hasan et al.
This study evaluates the low-stress mechanical properties of cut protective fabrics made from filament twisted core-sheath yarns. Using a six-end satin weave for its tight structure and reduced interlaces, hybrid woven fabrics were produced...
Real-time fatigue monitoring system for motorcycle riders using sensors and a random forest algorithm [0.03%]
基于传感器和随机森林算法的摩托车手实时疲劳监测系统
Iwan Aang Soenandi,Lamto Widodo,Cynthia Hayat et al.
Iwan Aang Soenandi et al.
Fatigue is a major determinant of motorcycle accidents, posing a critical threat to road safety by impairing riders' psychophysiological performance and increasing the crash risk. This study introduces a real-time fatigue monitoring system ...
Prevalence and risk factors of work-related musculoskeletal symptoms in midwives working in delivery rooms in Turkey [0.03%]
土耳其分娩室助产士与工作相关的肌肉骨骼症状的流行病学及危险因素
Nurcan Çelik Odabaşi,Selda Ildan Çalim
Nurcan Çelik Odabaşi
This study was conducted to determine the prevalence and risk factors of work-related musculoskeletal disorders (MSDs) among midwives working in delivery rooms in Turkey. The study design was cross-sectional and descriptive. Data were colle...
A review of ambient intelligence applications for enhancing workforce health and safety [0.03%]
泛在智能改善工作场所健康和安全的研究综述
Michalis Vrachimis,Cleo Varianou Mikellidou,Christos Dimopoulos
Michalis Vrachimis
This literature review examined the role of ambient intelligence (AmI) in occupational safety and health (OSH), focusing on its effectiveness across different workplaces, target groups and OSH hazards. The review aims to: identify occupatio...
Psychological determinants of life satisfaction among deck cadets: the mediating role of positivity and doomscrolling [0.03%]
影响甲板学员生活满意度的心理因素：积极心态和负面刷屏的中介作用研究
Umut Yildirim,Arda Toygar
Umut Yildirim
Objectives. Following the first academic year, deck cadets experience increased psychosocial stressors during onboard training. As their adaptation affects readiness for high-stakes decisions and career sustainability, identifying protectiv...
Comparison of machine learning and deep learning models in manual strength prediction using anthropometric variables [0.03%]
基于人体测量变量的机器学习与深度学习建模在手动力量预测中的比较研究
Mayra Pacheco-Cardín,Juan Luis Hernández-Arellano,José-Manuel Mejía-Muñoz et al.
Mayra Pacheco-Cardín et al.
Objective. This study evaluated the predictive performance of machine learning and deep learning models in estimating manual strength in men and women using anthropometric variables. Methods. Anthropometric and strength data were collected ...