Higher serum chromium level may be associated with the presentation of depression in patients with metabolic dysfunction-associated fatty liver disease: evidence from NHANES survey

BackgroundDepressive symptoms are frequently observed in patients with Metabolic Dysfunction-Associated Fatty Liver Disease (MAFLD), a prevalent metabolic disorder that affects many individuals. It is not yet clear whether there is an association between serum chromium levels and depression.ObjectiveThe purpose of this research was to explore the association between serum chromium level and the manifestation of depression among patients with MAFLD.MethodsThe selection of 1837 patients diagnosed with MAFLD was based on data obtained from the 2017-2018 National Health and Nutrition Examination Survey (NHANES) database in this research. The Patient Health Questionnaire-9 (PHQ-9) was employed to evaluate the severity of depression. The researchers utilized logistic regression models that were weighted for multiple variables to investigate the association between depression and serum chromium levels.ResultsIn our study, we found that 8.98% of US adults with MAFLD were suffering from depression at the time of evaluation. In the logistic regression model, serum chromium levels showed an inverse association with depression (OR=0.82, 95%CI: 0.69-0.96; p=0.016), this relationship remained after adjusting for fully confounding factors (OR=0.83, 95%CI: 0.71-0.97; p=0.021), subgroup analyses showed that the association between serum chromium levels and depression existed in relatively high-prevalence of depression groups.ConclusionPatients diagnosed with MAFLD have a greater likelihood of experiencing depression, whereas individuals with higher levels of serum chromium are less likely to suffer from depression, and this association persists even after adjusting for other factors. These findings indicate supplementing chromium may be a viable treatment for their depressive symptoms

Distance Education Platform for Mental Health Courses in Secondary Vocational Schools Based on Cloud Computing

In order to solve the problem of the limited response ability of the remote client terminal of the distance education platform, this study proposed a cloud computation-based distance education platform for secondary vocational mental health courses. This method first establishes the hierarchical structure system of the education platform, optimizes the connection of typical functional modules and completes the design of the platform application architecture based on the established platform structure system, then completes the construction of OpenStack cloud environment based on the cloud computing service model, and finally configains the data center system based on the relevant mental health course information. Realize the application of various platform technologies. The experimental results show that the application of this platform can make the remote client terminal instantaneous response rate reach the maximum value within 20&nbsp;min, which is 8.6Mb/s. The response speed and the client terminal instantaneous response rate are superior to the comparison method, which has certain application value.</p

Evaluation Method of Online Education Quality of E-Commerce Course in Higher Vocational Education Based on Machine Learning Model

In the stage of online education quality evaluation, due to multiple influencing factors and complex indicator parameters, the final evaluation results are prone to significant deviations from the actual situation. In order to improve the accuracy of online education quality evaluation, this article proposes a machine learning model based online education quality evaluation method for vocational e-commerce courses. We designed an education data structure based on BOM and conducted qualitative and quantitative analysis on the factors and parameters that affect the quality of online education. In the construction stage of the evaluation index system, comprehensive indicators are designed from four aspects: school management quality, teacher teaching process, student learning behavior, and academic quality. In the stage of education quality evaluation, the SVM algorithm in machine learning is used to optimize PSO, establish an evaluation optimization model, and train iteratively through parameter optimization to achieve network education quality evaluation. The test results show that the evaluation results of the design method on the quality of online education differ significantly from the actual situation, with a specific error range of 0.02, which improves the accuracy of the evaluation.</p

Limiting Behavior of Travelling Waves for the Modified Degasperis-Procesi Equation

Using an improved qualitative method which combines characteristics of several methods, we classify all travelling wave solutions of the modified Degasperis-Procesi equation in specified regions of the parametric space. Besides some popular exotic solutions including peaked waves, and looped and cusped waves, this equation also admits some very particular waves, such as fractal-like waves, double stumpons, double kinked waves, and butterfly-like waves. The last three types of solutions have not been reported in the literature. Furthermore, we give the limiting behavior of all periodic solutions as the parameters trend to some special values

A New Method for Generating Traveling-Wave Solutions of Coupled Nonlinear Equations

We propose a new method of algebraic transformations aimed at finding the traveling-wave solutions of complicated nonlinear wave equations on the basis of simpler equations. The generalized Dullin–Gottwald–Holm (DGH) equation and mKdV equations are chosen to illustrate our method. The solutions of the DGH equation can be obtained directly from the solutions of the mKdV equation. The conditions of appearance of different solutions are also presented. Various types of traveling-wave solutions are obtained for the generalized DGH equation, including periodic solutions, smooth solutions with decay, solitary solutions, and kink solutions.Побудовано новий метод алгебраїчних перетворень для знаходження розв’язків типу біжучих хвиль для складних нелінійних хвильових рівнянь на основі більш простих. Для ілюстрації методу використано узагальнене рівняння Далліна – Готвальда – Холма та модифіковане рівняння Кортевега – де Фріза. Розв’язки рівняння Далліна – Готвальда – Холма можна отримати безпосередньо із розв’язків модифікованого рівняння Кортевега – де Фріза. Наведено також умови для отримання різних розв’язків. Отримано чисельні розв’язки типу біжучих хвиль для узагальненого рівняння Далліна – Готвальда – Холма, серед яких періодичні розв’язки, гладкі розв’язки з запізненням, солітонні розв’язки та кінк-розв’язки

Occupational noise and hypertension in Southern Chinese workers: a large occupational population-based study

Abstract Introduction An increasing number of original studies suggested that occupational noise exposure might be associated with the risk of hypertension, but the results remain inconsistent and inconclusive. In addition, the attributable fraction (AF) of occupational noise exposure has not been well quantified. We aimed to conduct a large-scale occupational population-based study to comprehensively investigate the relationship between occupational noise exposure and blood pressure and different hypertension subtypes and to estimate the AF for hypertension burden attributable to occupational noise exposure. Methods A total of 715,135 workers aged 18–60 years were included in this study based on the Key Occupational Diseases Surveillance Project of Guangdong in 2020. Multiple linear regression was performed to explore the relationships of occupational noise exposure status, the combination of occupational noise exposure and binaural high frequency threshold on average (BHFTA) with systolic and diastolic blood pressure (SBP, DBP). Multivariable logistic regression was used to examine the relationshipassociation between occupational noise exposure status, occupational noise exposure combined with BHFTA and hypertension. Furthermore, the attributable risk (AR) was calculated to estimate the hypertension burden attributed to occupational exposure to noise. Results The prevalence of hypertension among occupational noise-exposed participants was 13·7%. SBP and DBP were both significantly associated with the occupational noise exposure status and classification of occupational noise exposure combined with BHFTA in the crude and adjusted models (all P < 0·0001). Compared with workers without occupational noise exposure, the risk of hypertension was 50% greater among those exposed to occupational noise in the adjusted model (95% CI 1·42–1·58). For participants of occupational noise exposed with BHFTA normal, and occupational noise exposed with BHFTA elevated, the corresponding risks of hypertension were 48% (1·41–1·56) and 56% (1·46–1·63) greater than those of occupational noise non-exposed with BHFTA normal, respectively. A similar association was found in isolated systolic hypertension (ISH) and prehypertension. Subgroup analysis by sex and age showed that the positive associations between occupational noise exposure and hypertension remained statistically significant across all subgroups (all P < 0.001). Significant interactions between occupational noise status, classification of occupational noise exposure combined with BHFTA, and age in relation to hypertension risk were identified (all P for interaction < 0.001). The associations of occupational noise status, classification of occupational noise exposure combined with BHFTA and hypertension were most pronounced in the 18–29 age groups. The AR% of occupational noise exposure for hypertension was 28·05% in the final adjusted model. Conclusions Occupational noise exposure was positively associated with blood pressure levels and the prevalence of hypertension, ISH, and prehypertension in a large occupational population-based study. A significantly increased risk of hypertension was found even in individuals with normal BHFTA exposed to occupational noise, with a further elevated risk observed in those with elevated BHFTA. Our findings provide epidemiological evidence for key groups associated with occupational noise exposure and hypertension, and more than one-fourth of hypertension cases would have been prevented by avoiding occupational noise exposure