Lingling Li¹, Jingjing Liang¹, Shuzhen Chen^2,*

International Journal of Mental Health Promotion, Vol.26, No.10, pp. 777-790, 2024, DOI:10.32604/ijmhp.2024.056988 - 31 October 2024

Abstract Background: Online game addiction has become a serious global public health problem among adolescents. However, its influencing factors and mediating mechanisms remain ambiguous. Methods: The present study adopted stratified random sampling to collect 6146 junior high school student samples in mainland China. We used regression analysis, and Bootstrap mediation test through SPSS 26.0 and AMOS 24.0 to reveal the tendency of students’ online game addiction with different background characteristics and whether autonomy support from parents and teachers can effectively reduce online game addiction. Results: The results showed that parental (β = −0.112, p < 0.001) and… More >

YANG ZHANG^1,2,#, NANNAN QIN^5,#, XIJUN WANG^6,#, RUI LIANG⁷, QUAN LIU⁴, RUOYI GENG⁸, TIANXIAO JIANG⁸, YUNFEI LIU^8,*, JINWEI LI^3,4,*

Oncology Research, Vol.32, No.3, pp. 563-576, 2024, DOI:10.32604/or.2023.029697 - 06 February 2024

Abstract Glycogen metabolism plays a key role in the development of hepatocellular carcinoma (HCC), but the function of glycogen metabolism genes in the tumor microenvironment (TME) is still to be elucidated. Single-cell RNA-seq data were obtained from ten HCC tumor samples totaling 64,545 cells, and 65 glycogen metabolism genes were analyzed by a nonnegative matrix factorization (NMF). The prognosis and immune response of new glycogen TME cell clusters were predicted by using HCC and immunotherapy cohorts from public databases. HCC single-cell analysis was divided into fibroblasts, NT T cells, macrophages, endothelial cells, and B cells, which… More >

Shihao Fan, Mingliang Chang^*, Shouxi Wang, Qing Quan, Yong Wang, Dan Li

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.1, pp. 45-59, 2020, DOI:10.32604/cmes.2020.08973 - 19 June 2020

Abstract It is important to determine the insulation thickness in the design of the buried hot oil pipelines. The economic thickness of the insulation layer not only meets the needs of the project but also maximizes the investment and environmental benefits. However, as a significant evaluation, the environmental factors haven’t been considered in the previous study. Considering this factor, the mathematical model of economic insulation thickness of the buried hot oil pipelines is built in this paper, which is solved by the golden section method while considering the costs of investment, operation, environment, the time value… More >