Analysis of Driving Factors of Natural Gas Consumption in China: Based on Regional Integration and LMDI Method

In recent years,China has developed rapidly in terms of natural gas.Driven by regional economic integration,a regional natural gas market composed of neighboring provinces and cities has taken shape gradually,and it tends to grow toward the same direction in policy formulation,resource coordination,facility construction and market expansion.Based on the factors such as geographical location,economic conditions and natural gas consumption,this thesis tends to conduct a horizontal comparative analysis on the economic development conditions,natural gas consumption characteristics and natural gas pipeline network density of the three regions with obvious regional integration feature in China.Then according to LMDI,four core indicators,namely economic growth effect,energy intensity effect,energy structure effect,and substitution effect are selected.The thesis is expected to explore the contribution of different indicators to the growth of natural gas consumption in these three different regions.According to the results,it can be concluded that the driving factors of natural gas consumption differ greatly among regions.Specifically speaking,the more developed the economy is,the greater the contribution of the energy substitution effect to natural gas consumption will be,and the contribution of the economic growth effect to natural gas consumption will be smaller.Despite that the contribution of energy intensity in different regions shows slight difference,the energy structure contributes the least effect,which further explains the current differences in China’s natural gas consumption characteristics and the reasons behind.

Effect of a traditional Chinese medicine theory-based mobile app on improving symptoms in patients with type 2 diabetes mellitus:A randomized controlled trial

Objective:The aim of this study was to evaluate the effect of the Traditional Chinese Medicine(TCM)theory-based mobile app on improving symptoms in patients with type 2 diabetes mellitus(T2DM)in China.Materials and Methods:A randomized controlled trial was conducted.Ninety-seven patients with T2DM were enrolled and they were randomized into the control group and the experimental group.The control group was given usual diabetes education and follow-up with telephone call,while the experimental group was followed up by using the TCM theory-based mobile app.After 6-month intervention,the diabetic symptom scores,the blood glucose levels,and self-management ability of the two groups were compared.Results:Compared with intervention before,the levels of fasting blood glucose(FBG),2-h postprandial blood glucose(2hPG),and glycated hemoglobin(HbA1c)decreased in the control group(9.28±3.05 vs.8.26±2.73 mmol/L,12.65±4.18 vs.10.65±3.79 mmol/L,and 8.78%±1.76%vs.7.96%±1.47%,respectively,all P<0.05)and also decreased in the experimental group(8.36±2.64 vs.7.35±2.45 mmol/L,11.50±4.29 vs.9.85±2.71 mmol/L,and 8.64%±2.04%vs.7.29%±1.56%,respectively,all P<0.05)after 6-month intervention,while the summary of diabetes self-care activities(SDSCAs)scale scores after 6-month intervention increased significantly in the control group(35.20±14.68 vs.44.78±10.21,P<0.05)and the experimental group(32.16±13.21 vs.50.37±10.06,P<0.05).After 6-month intervention,the diabetic symptom scores(18.16±2.74 vs.22.18±4.77)and HbA1c(7.29±1.56%vs.7.96%±1.47%)were lower,and SDSCA scale scores(50.37±10.06 vs.44.78±10.21)were higher in the experimental group than the control group(all P<0.05).Conclusion:The mobile app based on TCM theory can effectively improve diabetes-related symptoms in patients with T2DM and help control their blood glucose as well as enhance their self-management ability.

基于共聚焦显微镜图像拼接方法分析干眼患者角膜神经形态

目的:探讨使用活体共聚焦显微镜(IVCM)角膜神经图像拼接方法分析干眼患者角膜神经形态特点及其与干眼临床指标的相关性。方法:系列病例研究。收集2021年1─5月于北京大学人民医院眼科就诊的干眼患者16例(16眼)。所有患者均进行无创伤泪河高度(NITMH)、无创伤泪膜破裂时间(NITBUT)、荧光素染色泪膜破裂时间(TBUT)、角膜荧光素染色(FL)评分、睑板腺缺失比例、基础泪液分泌试验(SⅠT)、IVCM等检查。分别使用传统方法和新的拼接图像处理方法分析患者角膜上皮下神经图像面积、神经总长度、神经密度、平均神经长度、最长神经长度、最短神经长度、神经数量、神经数量密度等指标。纳入右眼数据进行分析。2种方法间角膜神经分析的数据比较采用wilcoxon秩和检验。干眼临床指标与角膜神经分析数据的相关性采用Spearman相关性分析。结果:新的拼接图像分析方法在角膜上皮下神经图像面积、神经总长度、神经密度、平均神经长度、最长神经长度、神经数量方面均明显大于传统分析方法(均P<0.05);最短神经长度较传统分析方法短(P<0.001);神经数量密度较传统方法比较差异无统计学意义。使用传统分析方法时,NIKBUT与平均神经长度、神经数量、神经数量密度均有相关性(r=0.52,P=0.037;r=-0.62,P=0.011;r=-0.62,P=0.011),其余干眼指标与角膜神经指标均无相关性。而使用拼接图像分析方法时,NIKBUT与平均神经密度呈负相关(r=-0.56,P=0.025),其余干眼指标与角膜神经指标均无相关性。结论:相比传统分析方法,新的拼接图像分析方法可获得更大角膜神经分析面积。2种分析方法的角膜神经分析结果不同,部分干眼指标与角膜神经分析结果的相关性也不同。新的共聚焦显微镜图像拼接分析方法能够更准确、更可靠地评估干眼患者角膜上皮下神经情况。

Comparison of CMIP6 and CMIP5 models in simulating climate extremes

Climate extreme events and their changes can generally exert severe impacts on society and ecosystems and cause large economic losses each year. Robust projections of their future changes are thus urgently important for policymaking to provide reliable information with respect to climate mitigation and adaptation.