Comparison and Impact Factor Analysis of Ground PM2.5 Retrieved by Aqua and Himawari-8 Satellite Products in Guangdong, China by Tingyuan Li, Xuejiao Deng, Jingyang Chen, Jie Xu, Jin Shen

“…The data from both satellites were consistent with ground-based measurements (R ≥ 0.65 and reaching 0.96 for the annual mean), indicating that the retrieved data could characterize the spatial and temporal variations in ground PM2.5 concentrations in Guangdong Province. The two satellites had similar performances for the annual mean, dry season mean, and hourly data; however, H8 performed better than Aqua for the wet season and monthly averages. …”
Get full text

Collagen fibers quantification for liver fibrosis assessment using linear dichroism photoacoustic microscopy by Yang Qiu, Honghui Li, Kun Yu, Jiali Chen, Li Qi, Yinghua Zhao, Liming Nie

Get full text

Exploring the relationship between mental health status and life events in children and adolescents: the role of mediating factors by Jiemei Xie, Jiemei Xie, Guoqiang Cheng, Mingliang Zhou, Qisheng Liang, Qianjin Wang, Qianjin Wang, Qianjin Wang

“…This study aims to examine the relationship between negative life events and symptoms of anxiety and depression in children and adolescents, as well as to identify potential mediating factors.MethodsIn May 2022, cluster-randomized sampling was used to select 8041 primary, middle, and high school students in Zhaoqing City, Guangdong Province, for the final analysis. The Adolescent Life Events Scale, Self-Rating Anxiety Scale, and Self-Rating Depression Scale were employed to assess negative life events, anxiety symptoms, and depressive symptoms, respectively. …”
Get full text

Integrative analysis of immunogenic PANoptosis and experimental validation of cinobufagin-induced activation to enhance glioma immunotherapy by Yonghua Cai, Heng Xiao, Shuaishuai Xue, Peng Li, Zhengming Zhan, Jie Lin, Zibin Song, Jun Liu, Wei Xu, Qixiong Zhou, Songtao Qi, Xi’an Zhang, Ziyi Luo

Get full text

Predicting dengue incidence in high-risk areas of China through the integration of Southeast Asian and local meteorological factors by Shaowei Sang, Yiguan Wang, Qiyong Liu, Peng Chen, Chuanxi Li, Anran Zhang

“…Predictive models for dengue incidence in Guangdong Province showed high adjusted R2 values (0.993–0.999) and deviance explained values (0.975–0.989). …”
Get full text

Temporal trends of presumed cardiac origin out-of-hospital cardiac arrest incidence in Guangzhou, southern China: A 10-year consecutive analysis by Tianqi Yang, Cai Wen, Yan Zhang, Yanjun Xu, Junpeng Liu, Zhenzhou Li, Shuangming Li, Na Peng, Hao Wu, Li Li, Tao Yu

Get full text

Corticomuscular Coupling Alterations During Elbow Isometric Contraction Correlated With Clinical Scores: An fNIRS-sEMG Study in Stroke Survivors by Xiaohan Wang, Weidong Li, Rong Song, Di Ao, Huijing Hu, Le Li

Get full text

Spatial distribution and influencing factors of secondhand smoke exposure in Chinese healthcare facilities: a cross-sectional survey by Ying LIU, Xinying ZENG, Lin XIAO, Shiwei LIU

“…Local spatial autocorrelation analysis showed that Qinghai province, Sichuan province, Chongqing city, Guizhou province, Hunan province, and Hubei province were all in high-high cluster areas, Hebei province was in a low-low cluster area, and Xinjiang Uyghur Autonomous Region, Yunnan province, and Guangdong province were all in low-high cluster areas. OLS spatial regression model analysis showed that regions with a higher proportion of males (β = 23.878, t = 3.207, P = 0.003), a higher proportion of individuals aged 0 – 14 years (β = 0.751, t = 3.665, P < 0.001), a higher proportion of individuals aged 15 – 64 years (β = 0.929, t = 3.279, P = 0.003), a higher illiteracy rate (β = 0.675, t = 2.703, P = 0.011), a higher tobacco consumer price index (β = 2.563, t = 2.384, P = 0.024), and a lower proportion of cities with smoke-free legislation (β = 0.069, t = 2.119, P = 0.034) had higher SHS exposure rates in healthcare facilities.ConclusionsSHS exposure in Chinese healthcare facilities is mainly concentrated in central-south, southwest, and northwest China. …”
Get full text

Adherence to four healthy lifestyle factors and their influencing factors among residents aged 35 – 75 in South China: a cross-sectional survey by Wenyan HE, Xingyi ZHANG, Chunqi WANG, Xueke BAI, Yang YANG, Wei XU, Lijuan SONG, Yan ZHANG, Hao YANG, Xi LI, Jianlan CUI

“…A total of 289 937 residents aged 35 – 75 years from Guangdong province, Guangxi Zhuang Autonomous Region, and Hainan province were included. …”
Get full text