Pandemic Stress and Cyberbullying Among Adolescents During China's Outbreak of Omicron: Examining the Roles of Perceived Safety and Family Cohesion.

The COVID-19 pandemic posed risks to the psychosocial development of children and adolescents in the digital age. Under such a background, this study aims to examine the effects of pandemic stress on cyberbullying perpetration and victimization among Chinese adolescents, and to explore the mediator of perceived safety and the moderator of family cohesion underlying this association, during China's outbreak of Omicron. A sample of 822 adolescents was obtained from Taizhou in Zhejiang Province, China, based on a multistage cluster random sampling method. The results showed that pandemic stress was positively associated with cyberbullying perpetration and victimization. Moreover, pandemic stress negatively predicted perceived safety, which in turn, increased the probability of cyberbullying perpetration and victimization. Furthermore, family cohesion moderated the effects of pandemic stress on cyberbullying perpetration and victimization. This study contributes to practical implications for policy making and social work practices regarding how to protect adolescents from cyberbullying during the pandemic.

Valence-arousal classification of emotion evoked by Chinese ancient-style music using 1D-CNN-BiLSTM model on EEG signals for college students.

During the COVID-19 pandemic, young people are using multimedia content more frequently to communicate with each other on Internet platforms. Among them, music, as psychological support for a lonely life in this special period, is a powerful tool for emotional self-regulation and getting rid of loneliness. More and more attention has been paid to the music recommender system based on emotion. In recent years, Chinese music has tended to be considered an independent genre. Chinese ancient-style music is one of the new folk music styles in Chinese music and is becoming more and more popular among young people. The complexity of Chinese-style music brings significant challenges to the quantitative calculation of music. To effectively solve the problem of emotion classification in music information search, emotion is often characterized by valence and arousal. This paper focuses on the valence and arousal classification of Chinese ancient-style music-evoked emotion. It proposes a hybrid one-dimensional convolutional neural network and bidirectional and unidirectional long short-term memory model (1D-CNN-BiLSTM). And a self-acquisition EEG dataset for Chinese college students was designed to classify music-induced emotion by valence-arousal based on EEG. In addition to that, the proposed 1D-CNN-BILSTM model verified the performance of public datasets DEAP and DREAMER, as well as the self-acquisition dataset DESC. The experimental results show that, compared with traditional LSTM and 1D-CNN-LSTM models, the proposed method has the highest accuracy in the valence classification task of music-induced emotion, reaching 94.85%, 98.41%, and 99.27%, respectively. The accuracy of the arousal classification task also gained 93.40%, 98.23%, and 99.20%, respectively. In addition, compared with the positive valence classification results of emotion, this method has obvious advantages in negative valence classification. This study provides a computational classification model for a music recommender system with emotion. It also provides some theoretical support for the brain-computer interactive (BCI) application products of Chinese ancient-style music which is popular among young people.

Effects of Overt and Relational Bullying on Adolescents' Subjective Well-Being: The Mediating Mechanisms of Social Capital and Psychological Capital.

Based on the social and psychological capital framework, this study aimed to investigate the direct effect of bullying on adolescents' subjective well-being and to reveal the potential psychosocial mechanisms in this relationship. Through the multi-stage cluster random sampling procedure, a cross-sectional survey was conducted among 728 adolescents from Hebei Province in China. Structural equation modeling was adopted for data analysis. After controlling for sociodemographic variables, the results indicated that only relational bullying had a significant negative effect on adolescents' subjective well-being. Moreover, social capital and psychological capital mediated the relationship between relational bullying and adolescents' subjective well-being. This study expands our understanding of the influencing mechanisms from bullying victimization to subjective well-being and also provides practical implications for future social policy development and relevant interventions.

Enhanced enzymatic hydrolysis of corncob by ultrasound-assisted soaking in aqueous ammonia pretreatment.

Ultrasound-assisted soaking in aqueous ammonia (USAA) pretreatment with 15 wt% aqueous ammonia under low temperature (~ 60 °C) and short-time (< 12 min) low-frequency (20 kHz, 60-650 W) ultrasound has been investigated for enhancement of enzymatic hydrolysis of corncob. Operational parameters of energy density (2.93-17.07 W/mL) and sonication time (0.34-11.66 min) that affect cellulose recovery, delignification, and sugar recovery yield were studied and optimized. The maximum cellulose recovery, delignification and sugar recovery yield determined at the optimum conditions (energy density 10 W/mL, sonication time 11.66 min) were 83.8, 84.7, and 77.6%, respectively. The corncob pretreated using USAA has a lower hemicellulose content (28.9% vs 31.8%), a slightly lower crystallinity index value (42.7% vs 43.7%), and a larger surface cavity diameter (> 36 µm vs < 20 µm) than that pretreated using soaking in aqueous ammonia (SAA) pretreatment. The USAA pretreatment was proved to be a reliable and effective method for corncob pretreatment.