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The Relationship Between Gadget Exposure and Musculoskeletal Complaints among Office Workers Ananda, Rizky; Wei, Li
Media of Health Research Vol. 3 No. 3 (2025): Media of Health Research, December 2025
Publisher : Lembaga Publikasi Ilmiah Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70716/mohr.v3i3.316

Abstract

Excessive gadget use has become a significant occupational health concern, particularly among office workers who spend extended hours using computers, smartphones, and other digital devices. Prolonged exposure often leads to poor posture, repetitive movements, and increased risk of musculoskeletal disorders (MSDs). This study aims to investigate the relationship between gadget exposure and musculoskeletal complaints among office workers. A cross-sectional survey was conducted involving 250 office employees in Jakarta, Indonesia, and Beijing, China. Data were collected using a standardized questionnaire that assessed duration of gadget use, ergonomic practices, and musculoskeletal symptoms. The results indicated that office workers who used gadgets for more than 6 hours daily had a significantly higher prevalence of neck pain (62.8%), lower back pain (48.5%), and wrist discomfort (35.4%) compared to those with shorter exposure (p < 0.05). Multivariate analysis confirmed that prolonged gadget use, lack of ergonomic awareness, and absence of rest breaks were independent predictors of musculoskeletal complaints. These findings highlight the urgent need for ergonomic interventions and organizational policies promoting healthy digital habits. This research contributes to occupational health literature by providing cross-cultural evidence of gadget-related musculoskeletal risks and emphasizing preventive workplace strategies.
QUANTUM ADVANTAGE HAS ARRIVED: TANGIBLE IMPACTS ON DRUG DISCOVERY AND NEW MATERIALS Wei, Li; Hui, Zhou; Yang, Liu
Journal of Computer Science Advancements Vol. 3 No. 5 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jsca.v3i5.3325

Abstract

The advancement of computational chemistry is currently stalled by the exponential memory scaling required to simulate strongly correlated electron systems on classical supercomputers. This fundamental barrier significantly impedes the rational design of complex pharmaceuticals and next-generation catalytic materials. This research aims to rigorously validate the immediate utility of Noisy Intermediate-Scale Quantum (NISQ) processors, demonstrating that “Quantum Advantage” has shifted from a theoretical milestone to a practical industrial reality. We employed a comparative research design utilizing the Variational Quantum Eigensolver (VQE) algorithm on the IBM Eagle quantum processor. The study targeted the electronic structure of iron-sulfur clusters and KRAS-G12C inhibitor binding sites, benchmarking quantum outputs against classical Density Functional Theory (DFT) and Full Configuration Interaction (FCI) standards, utilizing Zero-Noise Extrapolation for error mitigation. Results indicate that quantum simulations achieved chemical accuracy (within 1.6 kcal/mol) for these complex systems, whereas classical methods failed with deviations exceeding 8 kcal/mol. The data confirms that quantum hardware can now resolve electronic correlations invisible to classical approximation. We conclude that quantum computing offers a tangible, immediate pathway to accelerate discovery cycles in drug development and material science, necessitating the integration of hybrid quantum workflows into modern R&D pipelines.