Background: The physical abilities of older adults decline with age, making them more susceptible to micronutrient deficiency, which may affect their sleep quality. Objectives: This study aimed to construct a risk correlative model for sleep disorders in Chinese older adults based on blood micronutrient levels. Methods: In this matched case-control study, we recruited 124 participants with sleep disorders and 124 matched controls from the Tianjin Elderly Nutrition and Cognition cohort in China. Micronutrient levels in whole blood were measured using the dried blood spot technique. We compared the differences in micronutrient levels between the two groups and also constructed a receiver operating characteristic (ROC) model and nomogram for sleep disorders. Results: In comparison to the control group, the sleep disorders group showed lower levels of blood vitamin A, vitamin E (VE), folate, magnesium, copper, iron, and selenium (Se) in the univariate analysis (p < 0.05). The ROC curve analysis indicated that the combination of VE + folate + Se may have an excellent diagnostic effect on sleep disorders, with an area under the curve of 0.964. This VE + folate + Se was integrated into a nomogram model to demonstrate their relationship with sleep disorders. The consistency index of the model was 0.88, suggesting that the model assessed sleep disorders well. Conclusions: The sleep disorders risk correlative model constructed by the levels of VE, folate, and Se in whole blood might show good performance in assessing the risk of sleep disorders in older adults.
This study uses exploratory data analysis and an exploratory prediction model to examine data scientist salaries. The study examines salary determinants, salary trends, and a forecast model for data scientist salaries. The collection includes wage estimates, job descriptions, company evaluations, and industry data. Descriptive statistics and visualizations reveal variable distributions and trends. Linear regression is used to estimate salaries using geography, industry, firm rating, and job description. However, the original model has a large prediction error, requiring refining. The findings present significant implications for job seekers, companies, and policymakers, necessitating a thorough understanding and response from all these stakeholders. Addressing issues related to data availability and biases becomes imperative, as these could potentially distort the insights and the resulting decisions. Therefore, it's crucial to emphasize and encourage future research in this area to ensure a more equitable and comprehensive approach to employment and policy development.
Abstract The promotion of sustainability and innovation in the current dynamic landscape of global industry in the context of climate change has become imperative. This research paper explores the critical role of policy interventions in facilitating the diffusion of low‐carbon technologies through intricate supply networks. As countries endeavor to meet environmental goals and transition to a more sustainable economy, it becomes critical to understand how policies can effectively shape the diffusion of these technologies through the supply chain. This study employs game theory and evolutionary game theory to investigate the intricate interactions within supply networks, with a particular focus on the nuanced effects of policy on the diffusion of low‐carbon technology innovations. The findings suggest that dynamically adjusted policies have the potential to significantly increase the uptake of low‐carbon technologies. In particular, an effective subsidy scheme not only promotes the diffusion of innovations, but also demonstrates the ability of government subsidies to be distributed efficiently. In addition, the implementation of dynamic carbon trading schemes is considered to be an important mechanism for promoting firms' decarbonization and stabilizing strategic decision‐making processes within firms. This study highlights the significance of tailored dynamic policy frameworks in promoting the adoption of sustainable technologies in supply chains, thus making a significant contribution to the broader goal of achieving a sustainable future.
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