With the end of the COVID-19 pandemic and the relaxation of social restrictions, it seems intuitive to expect significant reductions in learning difficulties and psychological distress among adolescents. However, their psychological recovery could be hindered by the increased stress arising from rapidly changing environments, particularly for those from less developed regions. A three-wave study focusing on Chinese adolescents (N = 962) from economically disadvantaged regions was conducted to examine their psychological distress and academic inefficacy changes before and after the relaxation of the Zero-COVID policy established in December 2022 as well as to identify predictors and mediators of the change trajectories across T1 (three months before the policy), T2 (three months after the policy), and T3 (six months after T2).
View Article and Find Full Text PDFWe exploit the potential of the large-scale Contrastive Language-Image Pretraining (CLIP) model to enhance scene text detection and spotting tasks, transforming it into a robust backbone, FastTCM-CR50. This backbone utilizes visual prompt learning and cross-attention in CLIP to extract image and text-based prior knowledge. Using predefined and learnable prompts, FastTCM-CR50 introduces an instance-language matching process to enhance the synergy between image and text embeddings, thereby refining text regions.
View Article and Find Full Text PDFHow do illegitimate tasks in volunteering affect volunteer participation? Previous research has focused only on the unidimensional effects of illegitimate tasks on volunteer participation. This study used the Job Demands-Resources model to investigate the multidimensional effects of illegitimate tasks on volunteer participation and the potential mechanisms of the effects. Based on three waves of survey data from 1768 Chinese volunteers, we found that illegitimate tasks negatively affect volunteer attitudes and volunteer outcomes by reducing volunteers' psychological capital.
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