Unleashing the link between the relaxation of the COVID-19 control policy and residents' mental health in China: the mediating role of family tourism consumption.

Objective: COVID-19 has negatively influenced industrial development, family consumption, and residents' mental health. Unfortunately, it has not yet been studied whether this adverse situation can be alleviated after the relaxation of the COVID-19 control policy (RCC). Therefore, this study aimed to analyze the effect of the RCC on the resident's mental health and the mediating effect of family tourism consumption. Methods: By using the PSM and mediating effetc model to research the panel data of two periods (April 2021 and April 2023) for Shaanxi province, China. Results: The RCC negatively inhibited the mental health severity of residents, and the mental health severity decreased by 0.602. In particular, the RCC showed the most substantial negative effect on residents' stress, followed by anxiety and depression. Meanwhile, it is found that the impact of the RCC on the mental health of residents is highly heterogeneous. The RCC indicates a linear significant effect on the mental health of residents under 60 years of age, while the results were found insignificant for residents above 60 years of age. Meanwhile, the RCC's improvement effect on urban residents' mental health is greater than that of rural residents. In addition, mechanism analysis showed that tourism consumption plays a mediating role in the influence of the RCC on the mental health of residents, and the mediating effect accounted for 24.58% of the total effect. Conclusion: Based on the findings, the study proposes that government and policymakers should strengthen mental health intervention, improve access to mental health counseling, stimulate economic development, expand the employment of residents, and track the mutation of the novel coronavirus.

Investigation of the Therapeutic Effect and Mechanism of Holographic Meridian Scraping Therapy on Knee Osteoarthritis.

Objective: This study aimed to investigate the efficacy of holographic meridian scraping therapy on patients with knee osteoarthritis (KOA) and its impact on serum IL-1ß and TNF-α levels. Methods: A prospective study was conducted, enrolling seventy KOA patients admitted to the Hebei Provincial Hospital of Traditional Chinese Medicine between August 2021 and April 2022. The patients were divided into two groups using the random number table method: control group (n = 35) and treatment group (n = 35). The control group received oral celecoxib capsules (100 mg, twice daily), while the treatment group received an additional daily holographic meridian scraping session (20 minutes/day). Throughout the two-week study, the researchers continuously monitored the visual analogue scale (VAS) score, the Western Ontario and McMaster Universities Arthritis Index (WOMAC) score, and the changes in serum IL-1ß and TNF-α expression. Results: The treatment group demonstrated significantly better overall efficiency and efficacy compared to the control group (P < .05). Both groups exhibited decreased VAS and WOMAC scores after treatment in comparison to pre-treatment levels (P < .05), with the treatment group showing lower scores than the control group after treatment (P < .05). Furthermore, serum TNF-α and IL-1ß levels in both groups decreased after treatment compared to pre-treatment levels within the same group (P < .05). The treatment group had significantly lower serum TNF-α and IL-1ß levels than the control group after treatment (P < .05). Conclusions: Combining holographic meridian scraping therapy with celecoxib effectively treats KOA and significantly improves patient conditions, along with reductions in serum TNF-α and IL-1ß levels.

Temporal and Spatial Nearest Neighbor Values Based Missing Data Imputation in Wireless Sensor Networks.

Data missing is a common problem in wireless sensor networks. Currently, to ensure the performance of data processing, making imputation for the missing data is the most common method before getting into sensor data analysis. In this paper, the temporal and spatial nearest neighbor values-based missing data imputation (TSNN), a new imputation based on the temporal and spatial nearest neighbor values has been presented. First, four nearest neighbor values have been defined from the perspective of space and time dimensions as well as the geometrical and data distances, which are the bases of the algorithm that help to exploit the correlations among sensor data on the nodes with the regression tool. Next, the algorithm has been elaborated as well as two parameters, the best number of neighbors and spatial-temporal coefficient. Finally, the algorithm has been tested on an indoor and an outdoor wireless sensor network, and the result shows that TSNN is able to improve the accuracy of imputation and increase the number of cases that can be imputed effectively.

Does previous cesarean section influence neonatal birth weight? A path analysis in China.

BACKGROUND: Since the One-child Policy was revised to a Two-child policy in 2013, the number of pregnancies with previous cesarean section suddenly increased in China. The aim of this study was to test if a previous cesarean section influenced the neonatal birth weight under Chinese background. METHODS: A retrospective study was conducted. Path analysis was used to test the hypothesized model for the association among previous cesarean section, placenta previa, gestational age and neonatal birth weight. Comparative fit index, the root-mean-square error of approximation and weighted root-mean-square residual were used to evaluate the model fit. RESULTS: 3466 electronic records for second pregnancies met the criteria; a modified model was established (the root-mean-square error of approximation=0.049, comparative fit index=0.992, weighted root-mean-square residual=0.960). The effects of previous cesarean section on neonatal birth weight were mediated via four paths. The direct effects (coefficient: 0.056) showed opposite signs compared to indirect effects (coefficient: -0.127) in this path analysis. It meant that the negative effects of the previous cesarean section were suppressed by other factors which bring positive effects. CONCLUSION: This study showed that previous cesarean section had negative effects on neonatal birth weight with increasing incidence of placenta previa and preterm birth. But these effects were suppressed by other positive factors, such as maternal body mass index, just after the child policy updated in China.