Changing Characteristics of Comfort Index of Human Body in Bengbu City in the Past 40 Years under the Background of Climate Change

Based on the daily meteorological data of Bengbu City during 1981-2020,the changing characteristics of three elements needed for the calculation of the comfort index of human body(CIHB)were discussed,and daily CIHB was classified and discussed.The results show that from 1981 to 2020,annual average temperature tended to increase significantly.Annual average wind speed and relative humidity showed a decreasing trend before 2011 but an increasing trend after 2011.The duration of the four seasons in Bengbu City mainly rose in spring,reduced in winter,declined first and then increased in summer,and rose first and then decreased in autumn.As CIHB was at grades 1 and 9(the most uncomfortable),the three factors had different effects on them.For cold weather,the influence of relative humidity and wind speed on CIHB can not be ignored besides temperature.In hot weather,the influence of temperature was dominant,and the change of annual average temperature could well correspond to the change in the number of very hot days.In the context of climate warming,the number of cold days tended to decline generally,but it was larger in the years with fewer very cold days.Under the background of climate warming,there was no obvious change in the number of days of the overall comfort of human body.The number of hot days was closely related to the duration of summer,and the number of days of grade 8 rose significantly in the years with an increase in the duration of summer.

Correlation between the Human Development Index and the Incidence and Mortality of Non-Hodgkin Lymphoma

Objective This study was to examine the relationship between socioeconomic status and the incidence and mortality of non-Hodgkin lymphoma(NHL).Methods We compared the age-standardized incidence rate(ASIR),age-standardized mortality rate(ASMR),and the ASMR to ASIR ratio(MIR)at national and regional levels and studied the correlation between the MIR and the human development index(HDI)in 2012 and 2018.Results The highest ASIR was in North America in 2012 and in Australia in 2018,and the lowest ASIR was in Central and South Asia in both 2012 and 2018.The highest ASMR was in North Africa in both 2012 and 2018,and the lowest ASMR was in Eastern Asia and South-Central Asia in 2012 and in South-Central Asia in 2018.The lowest MIR was in Australia in both 2012 and 2018,and the highest MIR was in Western Africa in both 2012 and 2018.HDI was strongly negatively correlated with MIR(r:−0.8810,P<0.0001,2012;r:−0.8895,P<0.0001,2018).Compared to the 2012 data,the MIR in the intermediate HDI countries significantly deceased and the HDI in low and high HDI countries significantly increased in 2018.Conclusion The MIR is negatively correlated with HDI.Increasing the HDI in low and intermediate HDI countries may reduce the MIR and increase the survival of patients with NHL.

Impact of national Human Development Index on liver cancer outcomes: Transition from 2008 to 2018

BACKGROUND Liver cancer is the sixth most commonly diagnosed cancer and the fourth leading cause of cancer death worldwide.Socioeconomic development,indicated by the Human Development Index(HDI),is closely interconnected with public health.But the manner in which social development and medical advances influenced liver cancer patients in the past decade is still unknown.AIM To investigate the influence of HDI on clinical outcomes for patients with existing liver cancer from 2008 to 2018.METHODS The HDI values were obtained from the United Nations Development Programme,the age-standardized incidence and mortality rates of liver cancer were obtained from the GLOBOCAN database to calculate the mortality-toincidence ratio,and the estimated 5-year net survival of patients with liver cancer was provided by the CONCORD-3 program.We then explored the association of mortality-to-incidence ratio and survival with HDI,with a focus on geographic variability across countries as well as temporal heterogeneity over the past decade.RESULTS From 2008 to 2018,the epidemiology of liver cancer had changed across countries.Liver cancer mortality-to-incidence ratios were negatively correlated and showed good fit with a modified“dose-to-inhibition response”pattern with HDI(r=-0.548,P<0.0001 for 2018;r=-0.617,P<0.0001 for 2008).Cancer survival was positively associated with HDI(r=0.408,P<0.01)and negatively associated with mortality-to-incidence ratio(r=-0.346,P<0.05),solidly confirming the interrelation among liver cancer outcome indicators and socioeconomic factors.Notably,in the past decade,the HDI values in most countries have increased alongside a decreasing tendency of liver cancer mortality-to-incidence ratios(P<0.0001),and survival outcomes have simultaneously improved(P<0.001),with significant disparities across countries.CONCLUSION Socioeconomic factors have a significant influence on cancer outcomes.HDI values have increased along with improved cancer outcomes,with significant disparities among countries.

Human development index is associated with mortality-to-incidence ratios of gastrointestinal cancers

AIM:To identify the role of human development in the incidence and mortality rates of gastrointestinal cancers worldwide.METHODS:The age-standardized incidence and mortality rates for gastrointestinal cancers,including cancers of the esophagus,stomach,pancreas,liver,gallbladder,and colorectum,were obtained from the GLOBOCAN 2008 database and United States Cancer Statistics(USCS)report.The human development index(HDI)data were calculated according to the 2011 Human Development Report.We estimated the mortality-toincidence ratios(MIRs)at the regional and national levels,and explored the association of the MIR with development levels as measured by the HDI using a modified"drug dose to inhibition response"model.Furthermore,countries were divided into four groups according to the HDI distribution,and the MIRs of the four HDI groups were compared by one-way ANOVA followed by the Tukey-Kramer post-hoc test.Statespecific MIRs in the United States were predicted from the estimated HDI using the fitted non-linear model,and were compared with the actual MIRs calculated from data in the USCS report.RESULTS:The worldwide incidence and mortality rates of gastrointestinal cancers were as high as 39.4and 54.9 cases per 100000 individuals,respectively.Linear and non-linear regression analyses revealed an inverse correlation between the MIR of gastrointestinal cancers and the HDI at the regional and national levels(<0;P=0.0028 for regional level and<0.0001 for national level,ANOVA).The MIR differed significantly among the four HDI areas(very high HDI,0.620±0.033;high HDI,0.807±0.018;medium HDI,0.857±0.021;low HDI,0.953±0.011;P<0.001,oneway ANOVA).Prediction of the MIRs for individual United States states using best-fitted non-linear models showed little deviation from the actual MIRs in the United States.Except for 28 data points(9.93%of282),the actual MIRs of all gastrointestinal cancers were mostly located in the prediction intervals via the best-fit non-linear regression models.CONCLUSION:The inverse correlation between HDI and MIR demonstrates that more developed areas have a relatively efficacious healthcare system,resulting in low MIRs,and HDI can be used to estimate the MIR.

ON THE DESIGN OF A NEW HUMAN COMFORT INDEX

In designing the human comfort index (CI) used in Guangzhou, a Gaussian curve was adopted as the fundamental profile to develop a traw hat?model of comfort index. The model projects low or high temperatures into low index values and the moderate temperatures into high index values. Air temperature was chosen as a basic factor in the model. Other factors such as humidity, sunshine and wind speed were introduced by considering them as temperature departures to an equivalent apparent temperature (EAT). Since the index is a relative index, 25C was chosen as an ideal apparent temperature (the most comfortable state) and a maximum CI value of 100 was assigned at this temperature. While in other circumstances, the index would be lower than 100. By utilizing this model, the daily comfort index values had been calculated for Guangzhou city for 1998-1999, using mean temperature, mean humidity, mean wind speed and total hours of sunshine. Results show that the new model was reasonable and practicable. Not only could it reflect the monthly variation of human comfort in Guangzhou, but also was sensitive to short-term changes of weather conditions.

A Study of Resource Curse Effect of Chinese Provinces Based on Human Developing Index

Traditional opinion considers that natural resources play an important positive role in economic development, while resource curse theory holds that natural resources usually obstruct economic increase. This debate needs further exploration. In most of empirical studies on resource curse theory, the economic development of an area is mainly evaluated by the Gross Domestic Product(GDP), however, the social and cultural contents of economic development are seldom considered. Thus, the Human Developing Index(HDI) was chosen to describe the comprehensive developing situation of an area in our study. Based on the panel data from the year of 2000 to 2011, the relationship between Human Developing Index and resource exploitation degree(RED) of 30 provinces in China(Tibet, Taiwan, Hong Kong and Macao were not included because of the restriction of data acquisition) was investigated by correlation coefficient analysis and regression analysis. We found that resource curse did exist over the entire country and its effect on 30 provinces were not exactly the same. According to the effects of resource curse, these provinces could be classified into four types: no resource curse provinces, slight resource curse provinces, severe resource curse provinces, and extreme resource curse provinces. Testing from two short time periods 2000–2005, and 2006–2011, the resource curse effect was not prominent. However, testing from the entire period of 2000–2011, the effect was obvious among each province.

National Breast Cancer Mortality and Incidence Rates According to the Human Development Index: An Ecological Study

Background: This study aimed to identify the role of human development index (HDI) in the incidence and mortality rates of breast cancer (BC) worldwide. Methods: Data on the age-standardized incidence and mortality rates of BC for 184 countries were obtained from the GLOBOCAN. Data about the HDI and other indices were obtained from the World Bank Report 2013. Linear regression model was used for assessment the effect of HDI on BC occurrence rates. Results: In 2012, BCs were estimated to have affected a total of 1,671,149 individuals (crude rate: 47.8 per 100,000 individuals), and caused 521,907 deaths worldwide (crude rate: 14.7 per 100,000 individuals). Nearly half of total female BC cases (46.3%) with the highest risk of incidence (age-standardized Rate (ASR): 128 per 100,000) had occurred in very high HDI regions. The most proportion of the mortality burden was in low HDI and medium HDI areas. Linear regression analyses showed a direct significant correlation between the incidence of BC and HDI at the global level (B = 104.5, P < 0.001). The mortality rate of BC was not significantly associated with HDI (B = 3.26, P = 0.160). Conclusion: Our study showed that the burden of female BC is enormous in very high HDI and low HID regions. Targeted interventions have the ability to reduce this number significantly through resource-dependent interventions. Moreover, further reductions in mortality could be brought about by increasing access to curative treatment for patients with BC.

The Analysis of Human Development Index (HDI) for Categorizing the Member States of the United Nations (UN)

To categorize the nations to reflect the development status, to date, there are many conceptual frameworks. The Human Development index (HDI) that is published by the United Nations Development Programme is widely accepted and practiced by many people such as academicians, politicians, and donor organizations. However, though the development of HDI has gone through many revisions since its formulation in 1990, even the current version of the index formulation published in 2016 needs research to better understand and to gap-fill the knowledge base that can enhance the index formulation to facilitate the direction of attention such as release of funds. Therefore, in this paper, based on principal component analysis and K-means clustering algorithm, the data that reflect the measures of life expectancy index (LEI), education index (EI), and income index (II) are analyzed to categorize and to rank the member states of the UN using R statistical software package, an open source extensible programming language for statistical computing and graphics. The outcome of the study shows that the proportion of total eigen value (i.e., proportion of total variance) explained by PCA-1 (i.e., first principal component) accounts for more than 85% of the total variation. Moreover, the proportion of total eigen value explained by PCA-1 increases with time (i.e., yearly) though the amount of increase with time is not significant. However, the proportions of total eigen value explained by PCA-2 and PCA-3 decrease with time. Therefore, the loss of information in choosing PCA-1 to represent the chosen explanatory variables (i.e., LEI, EI, and II) may diminish with time if the trend of increasing pattern of proportion of total eigen value explained by PCA-1 with time continues in the future as well. On the other hand, the correlation between EI and PCA-1 increases with time although the magnitude of increase is not that significant. This same trend is observed in II as well. However, in contrast to these observations, the correlation between PCA-1 and LEI decreases with time. These findings imply that the contributions of EI and II to PCA-1 increase with time, but the contribution of LEI to PCA-1 decreases with time. On top of these, as per Hopkins statistic, the clusterability of the information conveyed by PCA-1 alone is far better than the clusterability of the information conveyed by PCA scores (i.e., PCA-1, PCA-2, and PCA-3) and the explanatory variables. Therefore, choosing PCA-1 to represent the chosen explanatory variables is becoming more concrete.

省级避暑旅游目的地评价指标体系的构建研究

依据避暑旅游目的地内涵和特点,从避暑气候禀赋、气候不利条件、生态环境、旅游基础和发展潜力4个维度构建了省级避暑旅游目的地评价指标体系。利用1991—2020年夏季(6—8月)中国黄河下游以南地区气象观测站点资料,基于该指标体系评价了14个省(区、市)发展避暑旅游目的地的潜在优势地区。避暑气候禀赋优良是避暑旅游目的地的首要条件,避暑气候禀赋采用气温、风、湿度、降水、人体舒适度和度假气候指数等要素。气候不利条件影响低是避暑旅游顺利开展的保障。采用高温、强降水、大风和强对流等影响夏季避暑旅游的高影响天气反映气候不利条件。空气质量、水质和植被状况反映避暑旅游目的地生态环境,旅游资源丰富度、交通便利性、地方荣誉、未来规划等要素反映避暑旅游目的地的基础能力和发展潜力。结果表明:14个省(区、市)的避暑气候禀赋和气候不利条件的指标阈值受气候系统和地形等因素影响存在空间差异。潜在避暑旅游目的地站点数占总站数的比例为10.5%,主要分布在本省(区、市)海拔相对较高地区,而海拔高度普遍较低的江苏和山东,则主要分布在江苏东北部沿海地区和山东半岛东部。研究成果可为省(区、市)为单元开展避暑旅游目的地的客观评价以及发展策略提供科学参考。

中国“一带一路”倡议的包容性开放效应——基于“一带一路”沿线国家HDI指数的经验分析

与以往发达国家主导和推动的经济全球化不同,中国“一带一路”倡议由于秉持着人类命运共同体先进理念,不仅为更多发展中国家融入全球价值链分工提供了更多机会,而且力图改善其分工地位,从而推动经济全球化朝着更加具有包容性开放的方向发展,让开放发展的成果能够更多地惠及世界各国尤其是其他发展中国家。在理论分析基础上,以人类发展指数(HDI)作为包容性开放效应的表征变量,基于2010—2019年ADBMRIO数据库中60个国家的经验数据,采用双重差分模型进行实证分析及稳健性检验,分析“一带一路”倡议的包容性开放效应。结果表明,“一带一路”倡议显著促进了沿线国家HDI提升,表现出较好的包容性开放特征,并且上述效应主要通过提升沿线国家全球价值链参与度和改善分工地位2个作用机制产生,理论假说得到了较好的逻辑一致性计量检验结果。据此可见,秉持人类命运共同体先进理念的“一带一路”倡议,不仅有着坚实的理论基础,而且实践经验证明中国已经走在推动包容性开放道路上,包容性开放效应在“一带一路”沿线国家初步显现。

THE STUDY OF DIFFERENCE OF PCNA LABELLED CELL INDEXES BETWEEN ENDOMETRIA OF HUMAN AND MOUSE

40 human endometrial tissues of benign diseases were diviided into 8 groups (phases),and 50 BDF1 mousy endometrial tissues were divided into 5 groups (phases).Immunohistochenical staining was performed to show the PCNA (proliferating cell nuclear antigen)positive cell .In human ,the results suggested that the PCNA layer(48%)of mid-proliferative hpase.The PCNA labelled index was low in superficial epithelium.But in mouse, the results suggested that the Pcna labelled index was the highest(22%)in endometrium of estrus and the labelled cells were distributed mainly in superficial epithelium (60%).The results suggested that times that times and positions of cellular proliferation in endometrial tissues of human and mouse differed greatly.

我国非基本公共服务发展的基础与路径

非基本公共服务属于公共服务的一种类型,对满足人民日益增长的美好生活需要有重要意义。但从公共物品角度看,它不完整具备排他性和非竞争性,而是处于公共物品与私人物品之间的“中间地带”。我国公共服务领域正处于两类公共服务需求交融叠加的时期,基本公共服务均等化仍在进行中,非基本公共服务需求日益增加。聚焦于发展非基本公共服务的原因、基础和路径等问题,从收入、公共服务供给水平、我国社会基本矛盾的角度分析非基本公共服务的发展前提,可以通过“分步走”战略方式分阶段、分重点推动实现中国式公共服务现代化,为提高世界人类发展指数提供“中国智慧”和“中国方案”。

中国省级城乡发展差距统计测度与演进——基于HDI的研究视角

不断缩小城乡发展差距,推进城乡融合发展,是中国实现共同富裕的必然选择。基于人类发展指数(HDI)分别编制2000—2020年中国各地区的城乡HDI,以此测度城乡发展差距,并从区域差异、收敛性、结构分解等方面对测度结果及其变动特征进行分析。研究发现:中国各地区的城乡差距均在逐步改善,城乡发展差距较大的省份主要集中在西部地区;各地区城乡发展差距指数随着时间变化呈现出明显的收敛特征,且差距越大的地区其差距缩小速度相对越快,存在一定的追赶效应;2010年以来,城乡教育差距是导致中国城乡发展差距最为重要的因素,城乡收入差距则是改善中国城乡发展差距最为重要的驱动因素。未来要更加重视加快缩小各地区的城乡教育差距,持续缩小城乡收入差距。

Human Care Theory and Influences on the Life Quality Index of Cancer Patients in Household Life

To investigatetheinfluences of the application of human care theory on the life quality and happiness of cancer patients after they receiveda community nursing care which was implemented by the human care theory. The quality life and the happiness index of 93 patients with cancer living in the six communities in Jillin were assessed, the assessment of the life quality was based on a life quality scale (SF-36) and that of the happiness index was based on Memorial University of Newfoundland Scale of Happiness (MUNSH). The community nurses cared for these patients by applying the theory of human care and the life quality and the happiness index of the patients were observed after the care. The results showed that there were significant differences in the score of 5 dimensions in the eight dimensions of the life quality between before the care and after the care (<0.05), and there were significant differences in the average sores of the positive emotion, positive experience, negative emotion, negative experience and level of happiness included in the happiness index between before the care and after the care (<0.05), suggesting that the theory of human care can be used for the care of patients with cancer and the application of the theory can effectively improve the life quality and the happiness index of the patients, strengthen their problem-solving abilities and let them have a positive attitude towards their lives.

基于HFACS模型的军事演训活动风险评估指标体系构建

基于人因分析与分类系统(HFACS)分析军事演训活动的全面风险,考虑联合军事演训和新域新质作战力量的特点,并突出演训活动的战斗力标准。在改进HFACS模型分析框架的基础上,逐层次细化拆解,建立初步的风险评估指标库,并结合专家知识运用风险矩阵对指标库进行优化。构建人为因素视角下涵盖战斗力的风险、组织管理的风险、不安全行为的前提条件的风险和不安全行为的风险等4个方面以及包含战斗精神、新型主战武器、智能装备等在内的15项极高风险指标、20项高风险指标和8项中风险指标的风险评估指标体系。

大学生学习状态监控指标体系及其人机协同监控策略研究

随着人工智能、物联网、大数据等技术的快速发展及其在教育领域的深度应用,教学过程逐渐走向智能化、精准化和个性化。学习状态人机协同监控指教师和智能机器分工协同,共同完成学习状态多模态数据的采集与处理,精准识别学生的个性化学习需求,为教师精准教学与学生个性化学习提供数据支持。通过构建由4个一级指标、11个二级指标和42个三级指标构成的大学生学习状态监控指标体系,并结合该指标体系提出了人机协同监控策略,可以有效解决大学生学习状态监控什么与如何监控的问题。

青藏高原人类工程活动强度定量评价及时空格局演变

青藏高原是世界上最高的高原,复杂多样的地貌结构一定程度上限制着人类工程活动,而人类工程活动又会对青藏高原脆弱敏感的生态环境产生影响。基于能源工程、社会经济发展、交通路网等数据,结合青藏高原科考实地考察情况,旨在建立一套县域尺度下的青藏高原人类工程活动强度评价指标体系,基于层次分析法及专家打分法,结合各类空间分析方法对各指标因子赋权,并以县域为单元探讨青藏高原2000年、2005年、2010年、2015年、2020年人类工程活动强度时空变化,全面科学地评估青藏高原人类工程活动强度的时空格局演变特征。结果表明:1)以能源工程建设强度、市政基础设施建设强度及交通基础设施建设强度3个一级指标和10个二级指标、19个三级指标建立的定量评价指标体系能够很好地反应研究区人类工程活动强度在空间上的分异。2)评价表明,2000—2020年间青藏高原整体人类工程活动强度呈增强趋势,且增速不断加快;3)青藏高原人类工程活动强度东西部差异明显,受资源配置和人口分布等因素的影响,西宁和拉萨在经济发展和基础设施建设方面具有明显优势,在人类工程活动强度方面呈以“西宁-拉萨”为轴线的中心区域向外不规则递减的空间格局;4)人类工程活动强度的增加与青藏高原地区快速的城镇化发展和工程建设规模的扩大密切相关,随着经济和社会发展的推动,能源需求和基础设施建设不断增长,使得人类工程活动在青藏高原地区的不断增强,表明其对生态的影响也逐渐增大,在大力开发能源和建设工程时应重点关注和保护生态环境。