THE LONGITUDINAL ASSOCIATION BETWEEN INTERNET ADDICTION AND DEPRESSIVE AND ANXIETY SYMPTOMS AMONG CHINESE ADOLESCENTS BEFORE AND DURING THE COVID-19 PANDEMIC

The longitudinal association between internet addiction and depressive and anxiety symptoms among Chinese adolescents before and during the COVID-19 pandemic

BackgroundThe COVID-19 pandemic and related prevention policies, such as home quarantine or online courses, could increase the risks of experiencing internet addiction and mental health problems among Chinese adolescents.There is a lack of longitudinal evidence to show the association between internet addiction symptoms and psychological consequenc

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Identifying the parameters of photovoltaic cells using Gaussian bare-bone imperialist competitive algorithm with opposition-based learning mechanism

Extracting the precise parameters of photovoltaic (PV) cells has become very important for simulation, evaluation, control, and optimization of PV systems.However, it is still a challenging task to accurately and reliably extract the parameters of PV cells.To solve this difficult problem, in this paper, a new meta-heuristic algorithm called Gaussia

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iPSC-based approach for human hair follicle regeneration

Hair follicles (HFs) are a multifunctional structure involved in physical protection, thermoregulation, sensational detection, and wound healing.Formation and cycling of HFs require dynamic interaction between different cell types of the follicles.Although the processes have been well studied, the generation of human functional HFs 8n joico lumishi

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