Measuring the Inclusive Growth of China’s Coastal Regions

Inclusive growth captures the need to alleviate the problems of global income disparity and poverty, particularly in Asia. The study’s goal is to construct an indicator system that measures the inclusive growth of 11 coastal provinces and cities in China from five aspects, namely, survival, capacity, development, freedom, and opportunity, examining the area from 2000 to 2015. The system is based on Bossel’s basic orientor indicator framework. Dynamic changes in overall levels in the five fields are investigated and spatial differences calculated using the Gini coefficient. Among the provinces, Guangxi shows the strongest survival conditions, giving it an advantage over other regions. Shanghai has the highest level of capacity and freedom. Guangdong has the strongest development momentum, but this appears to be weakening. Finally, Shandong shows many more social opportunities. The study suggests that inclusive growth in the area has increased as a result of the area’s rapid development, but the growth rates remain low. The level of inclusive growth shows a large gap across the regions. Gini coefficient differences show that the eastern coastal areas have strong development trends, whereas the northern and southern coastal areas show weaker ones. We also offer suggestions on how to promote inclusive growth in these regions

Impact of geographical environment differences on incidence of heat stroke in training troops in Chongqing

Objective To analyze the factors contributing to heat stroke in troops from different regions on the first day after arrival in Chongqing. Methods Using a self-designed questionnaire, we investigated the daily activities, training, and the occurrence of heat stroke in 2 troops from 2 different regions before and during the transportation and after their arrival at Chongqing. The individuals having heat stroke on the first day of arrival served as the heat stroke group, and those without heat stroke served as the control group for comparison of the data to identify the factors contributing to heat stroke in the 2 troops. Results Twelve (33.3%) individuals in troop A and 16 (48.6%) in troop B had heat stroke on the first day after arrival in Chongqing. In troop A, the volume of daily water intake, sleep time and sleep quality differed significantly between the individuals with heat stroke and those without during the transportation (P < 0.05); In troop B, the weekly training time and the volume of water intake on the first day of arrival differed significantly between the heat stroke and non-heat stroke groups (P < 0.05).Logistic multivariate regression showed that an increased mean daily water intake and improved daily sleep quality during transportation in troop A and a longer weekly training time in troop B were the protective factors against heat stroke. Conclusion The differences in the geographical environment in terms of climate and altitude between the 2 troops resulted in significant differences in the factors affecting the occurrence of heat stroke on the first day after their arrival, suggesting the importance of addressing the geographical differences between the stationing site and the mission site in designing measures for controlling environmentally sensitive diseases for the trans-regional mobile troops

RNA methylation-related genes of m6A, m5C, and m1A predict prognosis and immunotherapy response in cervical cancer

To investigate the prognostic value of N6-methyladenosine (m6A)-, 5-methylcytosine (m5C)-, and N1-methyladenosine (m1A)-related genes in cervical cancer (CESC) and predicting immunotherapy response. We downloaded cervical cancer mRNA expression profiles, clinical data, and m6A, m5C, m1A-related genes from public databases, and subjected them to serial bioinformatics analysis and clinical sample validation. Differential analysis revealed 106 methylation-related differential genes (MEDs), including 44 differentially downregulated and 62 upregulated genes. We then obtained methylation models containing 10 genes by univariate and multifactorial COX analysis. High risk genes with HR > 1 include IQGAP3, PTBP1, STAC3, CUX1, SLC2A1, and CA2, and low risk genes with HR p  We identified a prognostic model using m6A/m5C/m1A-related genes in cervical cancer, which can predict survival time and correlate with immune cell infiltration. Additionally, anti-CTLA-4 may be used as an immunotherapeutic agent for cervical cancer.KEY MESSAGESCervical cancer still has a high mortality rate, we aim to establish a strong prognostic index and new treatment goals for improving patient survival.The role of three types of RNA methylation modifications, m6A, m5C, and m1A, in cervical cancer, remains unknown. Therefore, it is essential to explore the potential molecular mechanisms of m6A, m5C, and m1A methylation regulation in cervical cancer.We also screened nine drugs for potential treatment and anti-CTLA-4 may be used as an immunotherapeutic agent for cervical cancer. We verified the expression of three key genes SLC2A1, CUX1, and CA2 Cervical cancer still has a high mortality rate, we aim to establish a strong prognostic index and new treatment goals for improving patient survival. The role of three types of RNA methylation modifications, m6A, m5C, and m1A, in cervical cancer, remains unknown. Therefore, it is essential to explore the potential molecular mechanisms of m6A, m5C, and m1A methylation regulation in cervical cancer. We also screened nine drugs for potential treatment and anti-CTLA-4 may be used as an immunotherapeutic agent for cervical cancer. We verified the expression of three key genes SLC2A1, CUX1, and CA2</p