Endothelial dysfunction, defined as a reduction in the bioavailability of nitric oxide (NO), is a risk factor for the occurrence and progression of various vascular diseases. This study investigates the effect of endo...
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Long-term antibacterial effects and favourable biocompatibility are crucial to sustaining the long-term application of medical devices such as cardiac implantable devices, orthopedic devices, hernia meshes, and cathet...
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Biomechanical models of postural control provide valuable insights into the mechanisms underlying balance. Although continuous and intermittent controller structures have been widely applied, their parameter identific...
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Biomechanical models of postural control provide valuable insights into the mechanisms underlying balance. Although continuous and intermittent controller structures have been widely applied, their parameter identification from experimental data across diverse populations and sensory conditions remains underexplored. This study employs ankle torque signals and least squares (LS)-based methods to estimate and compare parameters of continuous and intermittent feedback models using sway data from young and older adults during quiet standing under varied sensory conditions. The LS, non-negative LS, and bounded-variable LS methods achieved high mean coefficients of determination ( ) for both models. Passive stiffness in the intermittent models remained consistent across sensory conditions, whereas active parameters varied for both models, reflecting adaptability. Simulations with these estimated models reproduced human sway patterns with reasonable accuracy. Despite some limitations, these techniques may contribute to advancing our understanding of postural control mechanisms.
Background: Mesenchymal stem cell (MSC) therapy for cardiovascular diseases has shown promise;however, sex-specific differences remain understudied. This scientometric analysis provides the first comprehensive overvie...
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Maternal obesity is a major global health problem with serious implications for maternal and fetal well-being. It creates a lipotoxic environment in the placenta, characterised by increased inflammation, oxidative str...
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Background and objectives: Hearing loss is a crucial global health hazard exerting considerable social and physiological effects on spoken language and cognition. Patients affected by this condition may experience soc...
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Background and objectives: Hearing loss is a crucial global health hazard exerting considerable social and physiological effects on spoken language and cognition. Patients affected by this condition may experience social and professional hardships that dominate occupational injuries. Therefore, the identification of the features of recessive hearing loss is important for clinicians to prevent further disease progression. This work aimed to develop a hybrid statistical and machine-learning approach as a decision-support mechanism. We expect the proposed model to help predict hearing-loss disorders and support clinical diagnosis. Methods: A three-phase hybrid approach was proposed to implement classification models. A stepwise method and a random forest (RF) technique were utilized as filters during feature selection. Phase I involved reducing the number of input variables and selecting the most influential features. Phase II included the use of an oversampling technique called synthetic minority oversampling technique (SMOTE) to oversample the minority class and balance the sample size between the target and nontarget classes. Phase III focused on the final model selection based on three supervised classification models, namely, the logistic regression, multilayer perceptron, and support vector machine (SVM), for the target identification and prediction of the case of interest (i.e., hearing loss). Results: The analysis of phase I involved the selection and acquisition of three and seven features through the stepwise technique and RF method, respectively. The SMOTE technique alleviated the imbalanced data issue and improved the predictive capability substantially in phase II and III. Accordingly, in terms of accuracy, precision, recall, and F1 score, our empirical results demonstrated that the proposed hybrid approach involving the SVM method combined with a stepwise technique was competitive against the logistic model featuring all variables. Furthermore, the SVM mo
Chronic obstructive pulmonary disease (COPD) is the third leading cause of death worldwide, and the progressive nature heightens the calamity of the disease. In existing COPD studies, lung mechanics are often reported...
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The immunogenicity of polyethylene glycol (PEG) remains a critical challenge in nanomedicine, as pre-existing anti-PEG antibodies can compromise therapeutic efficacy through accelerated blood clearance (ABC) and life-...
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