Imaging subject-specific heart valve, a crucial step to its design, has experimental variables that if unaccounted for, may lead to erroneous computational analysis and geometric errors of the resulting model. Preparation methods are developed to mitigate some sources of the geometric error. However, the resulting 3D geometry often does not retain the original dimensions before excision. Inverse fluid-structure interaction analysis is used to analyze the resulting geometry and to assess the valve's closure. Based on the resulting closure, it is determined if the geometry used can yield realistic results. If full closure is not reached, the geometry is adjusted adequately until closure is observed.
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http://dx.doi.org/10.3390/biology10060536 | DOI Listing |
PLoS One
January 2025
Department of Human Kinetics, Université du Québec à Trois-Rivières, Trois-Rivières, Québec, Canada.
Demographic aging and extended working lives have prompted interest in the physiological changes that occur with age, particularly in the lumbar spine. Age-related declines in muscle quality and intervertebral disc alterations may reduce muscular endurance, strength, and postural stability, potentially increasing the risk of musculoskeletal injuries in older workers. As experienced workers play an important role in addressing labor shortages, understanding the impact of age-related physiological changes on the biomechanical properties of the lumbar spine is key to ensure safe and sustainable employment for aging individuals.
View Article and Find Full Text PDFPLoS One
January 2025
FAMERP- Faculty of Medicine of São José do Rio Preto, São José do Rio Preto, Brazil.
Motivation is of great importance in the teaching-learning process, because motivated students seek out opportunities and show interest and enthusiasm in carrying out their tasks. The objective of this review is to identify and present the information available in the literature on the status quo of motivation among nursing program entrants. This is a qualitative scoping review study, a type of literature review designed to map out and find evidence to address a specific research objective, following the Joanna Briggs Institute methodology.
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January 2025
School of Business and Management, Bandung Institute of Technology, Bandung, Indonesia.
Our goal is to improve Project Management (PM) profitability and reduce discrepancies in information among stakeholders, which can result in conflicts. This will be accomplished by incorporating Earned Value Management (EVM) with the Income Statement and incorporating earnings before interest, tax, depreciation, and amortization (EBITDA) with the work breakdown structure (WBS). These incorporations will streamline information sharing between PM, other management professionals, and the stakeholders, ultimately fostering the application of PM within broader business and management contexts.
View Article and Find Full Text PDFCureus
December 2024
Department of Neurosurgery, University of Fukui, Fukui, JPN.
Background Prior to using the exoscope, we speculated that it represented an intermediate tool between a loupe and a microscope and had concerns about its visibility of deep, fine structures. Objective To evaluate the depths of meningioma for which the exoscope was suitable, and to clarify its disadvantages in meningioma resection. Methods Findings of consecutive meningioma surgeries using a 4K three-dimensional (3D) exoscope over a one-year period were evaluated for visibility of the surgical field, comfort of the surgeon's arm posture, the surgeon's head orientation, and perception of the image delay, accounting for the depth of the tumor.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Electrical Engineering, Chosun University, Gwangju, 61452, South Korea.
The study presents an intelligent, model-free current control strategy that eliminates the need for explicit plant models while efficiently reducing the effect of plant parameter perturbation. By employing a data-driven approach with fewer input features, the proposed scheme reduces the computational burden during training while maintaining high control performance. Unlike conventional model predictive current control (MPCC), which is computationally expensive because of solving optimization problems at each sample time, and requires precise plant models, the proposed method enhances system performance by addressing plant model discrepancies through data-driven techniques.
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