Objective: This research aimed to evaluate the differences in the assessments made by three simulation tools used in a maintainability design office to perform human factor/ergonomics (HFE) analysis: digital human modeling (DHM), virtual reality (VR), and physical mock-up (PMU).
Background: Maintainability engineers use digital/physical simulation tools in the early design phase to analyze whether the design is well adapted for maintenance operators. Knowing the potential of these simulation tools would encourage maintainability stakeholders to integrate HFE in the design process more efficiently.
Method: Eleven maintenance tasks were analyzed from the participation of six maintenance operators. Various HFE indicators including physical, cognitive, and organizational indicators were assessed. Each operator repeated 11 maintenance tasks on VR and PMU. Based on the anthropometric parameters, six manikins were created to analyze 11 maintenance tasks on DHM.
Results: A significant difference was found for the organizational indicators between VR and PMU, whereas the physical and cognitive indicators are similar. DHM, VR, and PMU are compared with the common HFE indicators for the physical dimension and present a significant difference for individual tasks.
Conclusion: To reduce the gap between simulation tools, a better physical representation is requested on the VR platform, improving the perception of work sequences in the virtual world. Concerning DHM, a new paradigm is proposed to study a few tasks per work area instead of studying each task independently.
Application: This study will help develop a new methodology and tools specifically for non-HFE experts in the maintainability department.
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http://dx.doi.org/10.1177/0018720819861496 | DOI Listing |
Int J Numer Method Biomed Eng
January 2025
Department of Mechanics and Aerospace Engineering, Southern University of Science and Technology, Shenzhen, Guangdong, China.
Modeling fibrous tissue for vascular fluid-structure interaction analysis poses significant challenges due to the lack of effective tools for preparing simulation data from medical images. This limitation hinders the physiologically realistic modeling of vasculature and its use in clinical settings. Leveraging an established lumen modeling strategy, we propose a comprehensive pipeline for generating thick-walled artery models.
View Article and Find Full Text PDFVet J
December 2024
Department of Veterinary Medicine, College of Animal Science, Guizhou University, Guiyang, China. Electronic address:
Bovine viral diarrhea virus (BVDV) is a significant pathogen that exerts substantial economic influence on the global cattle industry. Developing a safe and effective novel vaccine targeting various BVDV subtypes is critical for controlling BVDV infection. In the study, we created two distinct multi-epitope vaccines by linking highly conserved and dominant cytotoxic T-lymphocytes (CTL), helper T-lymphocytes (HTL), and B-cell epitopes from either the E0 or E2 envelope glycoprotein of diverse BVDV subtypes.
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December 2024
Centre Universitaire d'Enseignement par Simulation-CUESim, Virtual Hospital of Lorraine, Faculty of Medicine, Midwifery and Health Professions, Université de Lorraine, 9, Avenue de la Forêt de Haye, Vandoeuvre-lès-Nancy, 54505, France.
Background: Despite recent evidence of the benefits of gender-affirming medical procedures, data in the literature indicate emerging demands of detransition and regrets while suggesting potential sources of bias in different datasets, including a nonconsensual definition of detransition.
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Curr Pharm Teach Learn
December 2024
Department of Basic Sciences, College of Medicine, Sulaiman Al-Rajhi University, Al-Bukayriyah, Saudi Arabia; Department of Clinical Pharmacy and Pharmacy Practice, Faculty of Pharmacy, Universiti Malaya, Kuala Lumpur, Malaysia. Electronic address:
The integration of artificial intelligence (AI) into pharmacy education offers transformative opportunities but also introduces significant challenges. This commentary explores whether AI will reshape or deform pharmacy education by analyzing its effects on personalized learning, complex concept comprehension, simulation-based clinical training, interprofessional education, and administrative efficiency. While AI-driven tools provide adaptive learning experiences, immersive visualizations, and streamlined administrative processes, concerns persist about overreliance on technology, skill atrophy, ethical and legal challenges, erosion of humanistic skills, inequities stemming from the digital divide, and faculty preparedness.
View Article and Find Full Text PDFProtein Sci
January 2025
Department of Physical Chemistry, Institute of Biotechnology, and Unit of Excellence in Chemistry Applied to Biomedicine and Environment, School of Sciences, University of Granada, Granada, Spain.
The ubiquitin E2 variant domain of TSG101 (TSG101-UEV) plays a pivotal role in protein sorting and virus budding by recognizing PTAP motifs within ubiquitinated proteins. Disruption of TSG101-UEV/PTAP interactions has emerged as a promising strategy for the development of host-oriented broad-spectrum antivirals with low susceptibility to resistance. TSG101 is a challenging target characterized by an extended and flat binding interface, low affinity for PTAP ligands, and complex binding energetics.
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