Impact of Learning Burnout on Mobile Phone Dependence Among Adolescents in Western China Under the "Double Reduction" Policy: The Mediating Role of Social Support.

Purpose: This paper investigated the prevalence of mobile phone dependence (MPD) and its associated with learning burnout under the "double reduction" policy among adolescents in Guizhou Province in western China. In addition, the influence of the mediating mechanism of social support on this relationship was investigated. Methods: The sample was collected from 16,216 adolescents in West China's Guizhou province, from December 2021 to January 2022 via multistage stratified random sampling. The Self-rating Questionnaire for Adolescent Problematic Mobile Phone Use (SQAPMPU) was used to assess the MPD, the Adolescent Student Burnout Scale (ASBI) was used to assess the learning burnout, and the Social Support Scale (SSS) was used to assess the social support. A hierarchical linear regression model was used to analyze the relationship between MPD, learning burnout, and social support. The mediating effect of social support between MPD and learning burnout was analyzed by structural equation model. Results: Prevalence of MPD was 26.4% among adolescents in Guizhou province in western China. After adjusting for confounding variables like demographics, multiple linear regression model has revealed that learning burnout positively predicted MPD and social support negatively predicted MPD. The structural equation model showed that 10.9% of the effect was explained by the mediating effect of social support. Conclusion: These findings could inform service delivery and policy formulation to reduce learning and avoid MPD in adolescents.

The link between exposure to violent media, normative beliefs about aggression, self-control, and aggression: A comparison of traditional and cyberbullying.

Adolescence is a high-risk age for exposure to violent media (EVM) and bullying. Some previous theories and empirical studies have highlighted a moderated mediating model that normative beliefs about aggression (NBA) as a mediator and self-control (SC) as a moderator for the link between EVM and aggressive behaviors (including bullying behaviors). However, most previous studies analyzed traditional bullying (TB) and cyberbullying (CB) separately, which is not conducive to finding the differences between the two bullying behaviors. Therefore, this study aims to compare the differences between risk prediction models of TB and CB among adolescents. A total of 777 Chinese adolescent students (336 girls; Mage = 13.57 ± 0.98) completed questionnaires including EVM, NBA, TB, CB, and SC. The results showed that: (1) EVM was positively related to adolescent TB/CB; (2) NBA mediated the above relations; and (3) SC buffers the direct effect of EVM on TB and the effect of NBA on TB. However, SC buffers the effect of NBA on adolescent CB but not buffers the direct effect of EVM on CB. This study highlights the necessity of distinguishing offline and online situations in aggressive behavior research. We suggested "online disinhibit hypothesis" would be adopted to explain why protector factors (e.g., SC) do not buffer the link between aggression-related risk factors (e.g., EVM) and online aggression (e.g., CB).

How Does Parent-Adolescent Conflict and Deviant Peer Affiliation Affect Cyberbullying: Examining the Roles of Moral Disengagement and Gender.

Purpose: With the widespread use of the Internet and mobile phone, cyberbullying has become a new type of bullying among adolescents. It is of great practical significance to explore the relevant factors affecting cyberbullying for prevention and intervention of adolescents' cyberbullying. However, few studies have considered the effect of both the family and social factors on cyberbullying. Therefore, the current study examines whether the parent-adolescent conflict as a family factor and deviant peer affiliation as a social factor have an effect on adolescents' cyberbullying, as well as the role of moral disengagement and gender. Methods: A total of 777 middle school students (females = 336; mean age = 13.57; SD = 0.98) were surveyed by using the Parent-child Relationship Questionnaire, Deviant Peer Affiliation Questionnaire, Moral Disengagement Questionnaire and Cyber Bullying Behavior Questionnaire. SPSS21.0 was used to conduct descriptive statistics, Pearson correlation analysis and T-test, PROCESS were used to conduct significance test of moderated mediation effect on the data. Results: Parent-adolescent conflict does not directly predict cyberbullying. Moral disengagement played a complete mediating role between parent-adolescent conflict and cyberbullying, and gender played a moderating role between moral disengagement and cyberbullying. Deviant peer affiliation directly predict cyberbullying. Moral disengagement played a partially mediating role between parent-adolescent conflict and cyberbullying, and gender played a moderating role between moral disengagement and cyberbullying. Conclusion: Attention should be paid to the effect of moral disengagement on cyberbullying in family and social factors, as well as the role of gender.

Application of Multilayer Perceptron Genetic Algorithm Neural Network in Chinese-English Parallel Corpus Noise Processing.

This paper uses neural network as a predictive model and genetic algorithm as an online optimization algorithm to simulate the noise processing of Chinese-English parallel corpus. At the same time, according to the powerful random global search mechanism of genetic algorithm, this paper studied the principle and process of noise processing in Chinese-English parallel corpus. Aiming at the task of identifying isolated words for unspecified persons, taking into account the inadequacies of the algorithms in standard genetic algorithms and neural networks, this paper proposes a fast algorithm for training the network using genetic algorithms. Through simulation calculations, different characteristic parameters, the number of training samples, background noise, and whether a specific person affects the recognition result were analyzed and discussed and compared with the traditional dynamic time comparison method. This paper introduces the idea of reinforcement learning, uses different reward mechanisms to solve the inconsistency of loss function and evaluation index measurement methods, and uses different decoding methods to alleviate the problem of exposure bias. It uses various simple genetic operations and the survival of the fittest selection mechanism to guide the learning process and determine the direction of the search, and it can search multiple regions in the solution space at the same time. In addition, it also has the advantage of not being restricted by the restrictive conditions of the search space (such as differentiable, continuous, and unimodal). At the same time, a method of using English subword vectors to initialize the parameters of the translation model is given. The research results show that the neural network recognition method based on genetic algorithm which is given in this paper shows its ability of quickly learning network weights and it is superior to the standard in all aspects. The performance of the algorithm in genetic algorithm and neural network, with high recognition rate and unique application advantages, can achieve a win-win of time and efficiency.

[Analysis of colliery migrant workers quality of life and its influential factors].

OBJECTIVE: To study colliery migrant workers' quality of life and related influential factors. METHODS: By multi-stage random sampling, 1161 colliery migrant workers were collected and assessed with the SF-36 and the self-made questionnaires. Multiple covariance and optimal scaling regression statistical methods were used to analyze the data. RESULTS: Physiological and mental health filed of colliery migrant workers, the physical functioning (PF), role-physical (RP), bodily pain (BP), general health (GH) and vitality (VT) score of those colliery migrant workers whose working age was less than 5 years higher than those over 10 years. The PF, RP, BP, GH, mental health (MH), VT and SF based within the health group, resulted in a higher score, compared to those who suffer from chronic diseases. The RP, GH and social functioning (SF) based within the mild labor intensity, resulted in a higher score, compared to those who severe labor intensity. The PF and RE based within the non-initial coal mine work, resulted in a higher score, compared to those who initial coal mine work. The PF, BP and VT based within the pre-employment physical examination, resulted in a higher score, compared to those who non pre-employment physical examination. The MH based within the smoking, resulted in a higher score, compared to those who no smoking. These differences were statistical significance (P < 0.05). Multiple factors analysis showed that working age (F = 19.26, P < 0.01), chronic diseases (F = 13.89, P < 0.01) and initial coal mine work (F = 8.48, P < 0.01) were the influential factors of physical component summary (PCS). Labor intensity (F = 5.90, P < 0.01), smoking (F = 10.45, P < 0.01) and chronic diseases (F = 7.91, P < 0.01) were the influential factors of mental component summary (MCS). CONCLUSION: There are some difference in individual characteristics (e. g. working age). Working age, chronic diseases, initial coal mine work, labor intensity, smoking are the influential factors for quality of life.

[Analysis of occupational burnout and its influencing factors of colliery migrant workers in Guizhou Province].

OBJECTIVE: To understand the status of occupational burnout of colliery migrant workers and its influencing factors. METHODS: The occupational burnout of 1161 colliery migrant workers in Jinsha County, Guizhou Province was measured with MBI-GS and the self-made questionnaire. RESULTS: All dimensions of MBI-GS Cronbach's α coefficient was in the range of 0.86-0.88, all 15 items of MBI-GS were subjected to factor analysis, and three latent factors were identified, which explained 68.86% of the total variance and consisted with the theory model. The score of occupational burnout of each dimension, differences in different individual characteristics (physical examination, sleep, et al) were statistically significant (P <0.05). The influence factors of occupational burnout of colliery migrant workers were physical examination, chronic disease, smoking, physical exercise, sleep, initial work in coal mine, production post and labor intensity. CONCLUSION: MBI-GS can be used to study the occupational burnout of colliery migrant workers. Different individual characteristics effect the occurrence of occupational burnout.

[Analysis mediating effect of self-efficacy between diet-related cognitive and behavioral].

OBJECTIVE: To investigate the influence of self-efficacy between diet-related cognitive and behavioral by introducing the concept of mediating effect in children and adolescents. METHODS: Using multistage cluster sampling, 9 middle and primary school at 1 downtown area and 2 county areas in Guizhou province were selected. Referencing to the foreign-related research and design of the questionnaire, 1398 students were included. The general survey and the correlation analysis about the cognition and self-efficacy of related diet, the favorable behavior related health and the unfavorable behavior related health were conducted. Using the regression analysis and building the modeling to test the mediating effect of self-efficacy of related diet. RESULTS: The average scores of the cognition, self-efficacy and beneficial health's behavior of related diet were not high. There were significant correlation between the cognition and self-efficacy, the cognition and favorable behavior, the self-efficacy and favorable behavior, the favorable behavior and unfavorable behavior. The correlation coefficients were 0.292, 0.248, 0.228 and -0.102 (P < 0.01). The self-efficacy had significant indirect mediating effect between diet-related cognitive and beneficial health's behavior, the indirect mediating effect was 24.52% of the total effect. Bringing into the structural equation model to test, the indirect effect of self-efficacy (namely mediating effect) was more obvious (beta = 0.39, P < 0.01). CONCLUSION: In the actual dietary behavior of children and adolescents, improving the self-efficacy can increase the degree of changing in behavior which acted by the cognition.