Prediction of Junior High School Students' Problematic Internet Use: The Comparison of Neural Network Models and Linear Mixed Models in Longitudinal Study.

Purpose: With the rise of big data, deep learning neural networks have garnered attention from psychology researchers due to their ability to process vast amounts of data and achieve superior model fitting. We aim to explore the predictive accuracy of neural network models and linear mixed models in tracking data when subjective variables are predominant in the field of psychology. We separately analyzed the predictive accuracy of both models and conduct a comparative study to further investigate. Simultaneously, we utilized the neural network model to examine the influencing factors of problematic internet usage and its temporal changes, attempting to provide insights for early interventions in problematic internet use. Patients and Methods: This study compared longitudinal data of junior high school students using both a linear mixed model and a neural network model to ascertain the efficacy of these two methods in processing psychological longitudinal data. Results: The neural network model exhibited significantly smaller errors compared to the linear mixed model. Furthermore, the outcomes from the neural network model revealed that, when analyzing data from a single time point, the influences of seventh grade better predicted Problematic Internet Use in ninth grade. And when analyzing data from multiple time points, the influences of sixth, seventh, and eighth grades more accurately predicted Problematic Internet Use in ninth grade. Conclusion: Neural network models surpass linear mixed models in precision when predicting and analyzing longitudinal data. Furthermore, the influencing factors in lower grades provide more accurate predictions of Problematic Internet Use in higher grades. The highest prediction accuracy is attained through the utilization of data from multiple time points.

Problematic Internet Use in Early Adolescents: Gender and Loneliness Differences in a Latent Growth Model.

Purpose: Based on the Cognitive-Behavioral model and the Interaction of Person-Affect-Cognition-Execution model, this study examined the developmental trajectory of problematic Internet use (PIU) in early adolescents and explored whether there were gender differences in the onset level and rate of development of this developmental trajectory, and tested whether developmental changes in loneliness could have an impact on the developmental trajectory of problematic Internet use. Participants and Methods: This longitudinal study collected data on PIU and loneliness from 296 early adolescents (Mage=11.65, SD=0.58) in four waves. The development of PIU in adolescents and the effects of gender and loneliness development on PIU development were examined using a latent growth model. Results: The results revealed that individuals' PIU development showed a nonlinear latent growth model, with PIU significantly higher than 0 in grade 6 and its growth rate slowing down as PIU increased. Individuals' PIU at low starting levels developed more rapidly later. Boys had higher initial levels of PIU but their PIU developed and increased at the same rate as girls'. Both the initial value and slope of loneliness had a significant effect on the initial value and slope of boys' and girls' PIU. Conclusion: Interventions for PIU in early adolescents also need to consider loneliness at the same time, and intervention groups can focus on individuals with low initial levels of PIU, boys, and individuals with high levels of loneliness.

The Relationship between Exercise Behavior and Mental Health during the COVID-19 Epidemic: Research Based on the Weibo Exercise Behavior User Dictionary.

In the context of COVID-19, people face conditions of great stress and are susceptible to negative emotions such as worry, fear, and doubt. Therefore, the focus of epidemic prevention should be on mental health as well as physical health. It is important to pay attention to people's mental health while mitigating and controlling the epidemic. As an intervention to improve mental health, exercise behavior has attracted increasing attention from scholars due to its convenience and low cost. Therefore, the goal of this paper was to investigate the differences between characteristics related to linguistic expression and mental health indicators among different groups of Weibo users by constructing a Weibo exercise behavior user lexicon to explore the influence of exercise behavior on mental health. This study developed a user dictionary of exercise behavior, classified Sina Weibo users' exercise behavior, and established relevant systems to uncover the expressive characteristics of psychological vocabulary and behavioral vocabulary to explore the differences in expressive features related to psychological and behavioral vocabulary and mental health indicators among users who engage in different forms of exercise behavior during the period of COVID-19. As a result of an analysis of variance (ANOVA) conducted during the COVID-19 epidemic, (1) based on the constructed user lexicon of motion behavior in Weibo, the classification program exhibited good performance; (2) there were significant differences in the expressions of some lexical features among users who exhibited different motor behaviors; and (3) both nonphysical exercise and physical exercise behavior had positive relationships with some mental health indicators, but the mechanism associated with nonphysical exercise requires further exploration. This study provides a scientific online evaluation methodology and support for research concerning exercise and mental health during the COVID-19 epidemic.

A Preliminary Validation of the Chinese Version of the Information Technology Identity Scale.

Background: Information technology has become an irreplaceable part of people's lives, and the interaction between information technology and self-identity has produced a new type of information technology (IT) identity. However, there is no measurement tool for this concept in China. The main aim of the study was to revise Carter's IT Identity Scale in the context of Chinese cultural background and to determine whether the Chinese version is congruent with the English version. Methods: In this study, we revised the scale on the basis of the information technology identity scale developed by Carter, translated the scale according to the Chinese cultural environment. Our sample size was 408, and all of them were junior middle school students. After testing this sample, we carried out item analysis, validity analysis, and reliability analysis. Results: (1) The correlation coefficients between each item and the total score were significant (0.775-0.885). (2) The three-factor structure (relatedness, dependence, emotional energy) of the Chinese version of the IT identity scale was consistent with the original scale. The values of the factor loadings of each item in the three factors of confirmatory factor analysis (CFA) were all greater than 0.700, and the model fit indexes (CFI, NFI, NNFI, TLI and IFI) were all greater than 0.900, indicating a good model fit. (3) Average variance extraction (AVE), composite reliability (CR), Pearson correlation, and the square root of AVE indicated good convergence and discriminant validity. (4) The ɑ coefficients and CR of the three dimensions (ie, relatedness, dependence, emotional energy) were all greater than 0.800, and the split coefficients were all greater than 0.800, indicating high reliability. Conclusion: The Chinese version of the information technology identity scale presented satisfactory psychometric properties and shared many similarities with the original version. Ultimately, we revised an information technology identity scale suitable for Chinese culture.

Activated microporous-mesoporous carbon derived from chestnut shell as a sustainable anode material for high performance microbial fuel cells.

Microbial fuel cells (MFCs) are promising biotechnologies tool to harvest electricity by decomposing organic matter in waste water, and the anode material is a critical factor in determining the performance of MFCs. In this study, chestnut shell is proposed as a novel anode material with mesoporous and microporous structure prepared via a simple carbonization procedure followed by an activation process. The chemical activation process successfully modified the macroporous structure, created more mesoporous and microporous structure and decreased the O-content and pyridinic/pyrrolic N groups on the biomass anode, which were beneficial for improving charge transfer efficiency between the anode surface and microbial biofilm. The MFC with activated biomass anode achieved a maximum power density (23.6 W m-3) 2.3 times higher than carbon cloth anode (10.4 W m-3). This study introduces a promising and feasible strategy for the fabrication of high performance anodes for MFCs derived from cost-effective, sustainable natural materials.

Electrocatalytic activity of lithium polysulfides adsorbed into porous TiO2 coated MWCNTs hybrid structure for lithium-sulfur batteries.

Lithium-sulfur batteries have attracted great attention because of their high energy density, environmental friendliness, natural abundance and intrinsically low cost of sulfur. However, their commercial applications are greatly hindered by rapid capacity decay due to poor conductivity of electrode, fast dissolution of the intermediate polysulfides into the electrolyte, and the volume expansion of sulfur. Herein, we report a novel composite MWCNTs@TiO2-S nanostructure by grafting TiO2 onto the surface of MWCNTs, followed by incorporating sulfur into the composite. The inner MWCNTs improved the mechanical strength and conductivity of the electrode and the outer TiO2 provided the adsorption sites to immobilize polysulfides due to bonding interaction between TiO2 and polysulfides. The MWCNTs@TiO2-S composite with a mass ratio of 50% (MWCNTs in MWCNTs@TiO2) exhibited the highest electrochemistry performance among all compositing ratios of MWCNTs/TiO2. The performance improvement might be attributed to the downward shift of the apparent Fermi level to a more positive potential and electron rich space region at the interface of MWCNTs-TiO2 that facilitates the reduction of lithium polysulfide at a higher potential. Such a novel hybrid structure can be applicable for electrode design in other energy storage applications.