Reported Willingness and Associated Factors Related to Utilization of Voluntary Counseling and Testing Services by Female Sex Workers in Shandong Province,China

Objective To explore reported willingness and factors associated with utilization of voluntary counseling and testing services by female sex workers （FSWs） in China and to offer recommendations to optimize use of such services. Methods A questionnaire to explore willingness to use VCT was designed based on social ecological theory and formative qualitative research. A cross-sectional survey was conducted among FSWs from entertainment venues. Single and multiple logistic regression analyses were employed to examine factors associated with reported willingness to utilize VCT. Results A total of 970 FSWs provided valid questionnaires, with 69% （669） expressing willingness to utilize VCT. Factors at the interpersonal level associated with reported willingness included knowledge about VCT, desire to get help if diagnosed as HIV positive, ability to imagine life after an HIV positive diagnosis, and perceived support for VCT from peers, managers, and family members. Availability of free antiretroviral （ARV） treatment represented a factor at policy level. Other factors included intention to leave sex work in the near future, having had a previous HIV test, and lack of a suspected STD history. Conclusions The rate of reported willingness to use VCT among FSWs was substantially higher than that of actual VCT utilization （11%）. The next step is to explore the connection between reported willingness and actual use. Based on these findings, peer education, VCT knowledge dissemination, and free ARV treatment should be emphasized to increase FSWs＇ willingness to use VCT.

基于CF与优化RF模型耦合的泰山地区地质灾害易发性评价

[目的]针对泰山地区地质灾害频发这一现状,研究并构建地质灾害易发性评价模型,为该地区的地质灾害预防与治理工作提供参考。[方法]以泰山地区为研究区,采用确定性系数模型与粒子群算法优化RF模型耦合的方法,完成对研究区的地质灾害易发性评价。该方法是利用确定性系数(CF)模型计算影响因子对地质灾害的敏感值,作为模型训练的属性值,引入粒子群算法对随机森林(RF)模型进行参数寻优,提高模型对地质灾害的预测精度和准确度。选取坡度、距道路距离、土地利用类型、植被指数等11个影响因子,采用皮尔逊相关系数法和多重共线性检查进行影响因子筛选择优,绘制ROC和PR曲线对训练模型进行精度评价。[结果]CF-PSO-RF耦合模型相比单一SVR、单一RF和CF-PSO-SVR模型的极高易发区面积比例分别提高10.55%,10.04%和5.08%,AUC值分别提高14%,5.1%和1.7%,AP精度分别提高了11.7%,4.4%,1.2%。预测结果显示,泰山地区的极高、高易发区主要位于泰山景区、岱岳区北部等地形起伏和坡度较大的区域,面积所占比例为28.05%,涵盖了60.1%的地质灾害点;相反,低、极低易发区主要分布在建设用地、农田等地势平坦区域,面积比例为59.26%。[结论]将确定性系数模型与优化后RF模型耦合,相比单一模型精度有进一步的提升,又优于CF-PSO-SVR模型精度,评价结果符合实际情况。

Study on the Impact of Climatic and Environmental Factors on the Development and Utilization of Rooftop Solar Energy Resources in Inner Mongolia

Based on the data of 8 solar radiation stations and 119 meteorological stations in Inner Mongolia from 1961 to 2017 as well as the comparative observation of rooftop solar distributed photovoltaic power generation equipment,the impact of climatic and environmental factors on the development and utilization of rooftop solar energy resources was studied.The results show that the main climatic factors affecting rooftop solar power generation were cloud cover,precipitation,relative humidity,visibility,gale,dust weather,temperature and lightning disaster.Except for temperature and lightning disaster,other meteorological elements were negatively correlated with rooftop solar power generation,namely reducing direct radiation.The high temperature in Inner Mongolia in summer could cause the solar cell efficiency to decrease by 40%-60%,while the low temperature in eastern region in winter was not suitable for the development of rooftop solar energy resources.Lightning is the main meteorological disaster affecting the safe operation of photovoltaic systems,and class-2 lightning protection equipment needs to be installed.Photovoltaic power generation equipment should be installed on a roof which is not covered by high buildings and on the windward side of a chimney as much as possible.Areas with heavy dust pollution need to remove dust on the surface of solar panels in time.Snow and ice should be removed timely during snowfall in winter.

Social Factors Affecting Wetlands Utilization for Agriculture in Nigeria: A case study of sawah rice production

Wetlands have immense poverty-fighting potentials and in Nigeria, more and more people are dependent on wetlands for their livelihoods. To examine the social factors affecting the current status of the wetlands utilization for agriculture in Nigeda, a simple random sampling technique was used to select 200 farmers cultivating wetlands and a structured questionnaire was applied to elicit the information on the social factors. Data collected were described using frequency and percentage and a multiple regression analysis was used to identify significant variables that are determinants of wetland utilization. The results of the analysis showed that significant variables included crop preferences, farming system, culture, taste, land tenure, knowledge of wetland cultivation, perceived suitability, farmers＇ tribe, location of wetland, and farmers＇ age. it was concluded with suggestions for the right combination of policies, public awareness, and appropriate farming methods in order to improve wetland utilization in Nigeria.

Analysis on Change Trend and Influencing Factors of Natural Resource Utilization of Community Farmers around the Habitat of Giant Pandas

The habitat of giant pandas borders the living areas of farmers in surrounding communities. Due to the low level of economic development and resource used method, the life of community farmers depends on the natural resources of the habitat of giant pandas. Analyzing the natural resource utilization of farmers in communities around the habitat of giant pandas is conducive to formulating more reasonable management policies and protecting the habitat of giant pandas more effectively. Based on the field survey data, this paper classifies the main ways of community farmers using the natural resources of the habitat of giant pandas, counts the quantity of resources used and analyzes their change trends. On this basis, this paper selects indicators, constructs a model and analyzes the main influencing factors affecting the natural resources utilization of community farmers from three aspects: the individual characteristics of household heads, the family characteristics of community farmers and the residence characteristics of community farmers.

Utilization of HIV and Sexually Transmitted Infections Prevention Services, and Associated Factors among the Long-Distance Truck Drivers along the Northern Corridor Highway, Kenya

Background: Often, long-distance truck drivers’ (LDTDs’) work predisposes them to sexually transmitted infections (STIs) whose outcomes are influenced by access and behavior of seeking sexual health care. Methodology: In this study, we assessed the utilization of HIV/STI preventive services and associated factors among 296 LDTDs operating along the northern corridor highway using an interviewer-administered questionnaire for data collection at Mlolongo stopover in Machakos, Kenya. Responses for the investigated variables, including condom use, history of HIV testing, frequency of HIV testing, antiretroviral therapy (ART) use and follow-up for the HIV positive and STI treatment, were assigned a score of either 1 or 0 depending on the question’s dimension. Following summing up for each participant, we computed a weighted score ranging between 0 and 1 by dividing the summed responses by the number of eligible variables. We arbitrarily multiplied these scores by 8 to generate endpoint scores ranging from one to eight for each participant to help create a dichotomized outcome variable for utilization levels: limited utilization (1 to 4) and good utilization (5 to 8). Association between certain independent variables and the outcome variable (level of utilization of H.I.V./STIs preventive services) was analyzed using binomial logistic regression analysis in R statistical software. Results: The mean age of the LDTDs was 38.4 years, ranging from 24 - 57 years. The majority (n = 287, 97%) of the LDTDs had been tested on HIV at least once since the beginning of their career. Only 4.9% of the LDTDs had been tested on HIV within the previous three months. Of the 175 LDTDs who reported a history of STI, most (n = 173, 98.9%) of them had sought treatment. Condom use rates were higher (97.1%) among the LDTDs who had sexual interactions with casual sexual partners compared to 47.2% among regular sexual partners. Analyses classed most of the respondents (n = 231, 78.0%) as having good utilization, while the rest (22%) had limited utilization. History of STI was independently associated with utilizing HIV/STI preventive services (OR 8.4;95% CI;4.5, 16.7;P < 0.001). Conclusion: Although most of the LDTDs were classed to have good utilization of HIV/STI preventive services, the uptake of subsequent HIV testing services among them was low at only 4.9%. The association of STI history with utilization levels that we determined supports policies of integrating HIV and STI services in the delivery of sexual healthcare provision among LDTDs.

An Empirical Analysis on the Factors Influencing Actual Utilization of Foreign Capital in China

With the scale of actual utilization of foreign capital in our country appears to be increasing year by year with the increase of reform and opening up.Based on the data published by the National Bureau of Statistics from 1999 to 2018 on the actual use of foreign capital,we selected several reasonable indicators as the main influencing factors from an economic perspective,and constructed a econometric model.This paper examines and analyzes the factors affecting the actual use of foreign capital in China,and puts forward corresponding policy suggestions according to the empirical results.

Habitat Utilization of the Sichuan Hill Partridge (Arborophila rufipectus) in the Non-breeding Period in Laojunshan Nature Reserve

The Sichuan Hill Partridge （Arborophila rufipectus ） requires successional broadleaf forest and their populations have declined as a result of fragmentation of endemic bird areas in subtropical forest in the mountains of southwestern China. In this paper, habitat utilization of the Sichuan Hill Partridge was studied in replanted broadleaf forests, in Laojunshan Nature Reserve of Sichuan, to determine the importance of habitat features, during the non-breeding period from November to December 2005. The Sichuan Hill Partridge utilized habitats within elevations of 1 000 to 1 600 m and with a south-facing slope of two to 15 degrees, close to road and forest edges. The birds preferred sites with smaller bamboo density, lower bamboo cover and snow cover and shrub cover was greater at used sites than at random sites. Principal components analysis indicated that food on the ground layer, topographic condition, concealment and temperature were the first four components of bird habitat selection, and the load of the first component was 29.407%. The findings indicated that the Sichuan Hill Partridge might face the well-documented trade-off between food resource and predation risk when utilizing habitat. We suggest that the conservation and restoration of successional broadleaf forest habitats will benefit the Sichuan Hill Partridge.

Analysis to the Driving Force Model and Driving Factor on the Utilized Changes of Cultivated Land in Gonghe County

Using gradually regression analysis to establish the driving force model of utilized change of cultivated land in Gonghe County, and using path analysis, correlation analysis, partial correlation analysis and system dynamics method to inspect the effect of driving changing on cultivated land change under different change situations. Driving factors, action mechanism and process of utilized change of cultivated land were analyzed from the county territory scale level. At last, some corresponding policies and measures were put forward.

Analysis to the Driving Force Model and Drives Factor on the Utilized Changes of Cultivated Land in Qinghai Lake Area

Using path analysis, correlation analysis, partial correlation analysis and system dynamics method to study the driving force of cultivated land in Qinghai Lake Area, and using gradually regression analysis to establish the driving force model of utilized change of cultivated land. Driving factors, action mechanism and process of utilized change of cultivated land were analyzed, and the differences during all factors were compared. The study provides some decision basis for sustainable utilization and management of land resources in Qinghai Lake Area.

Yield gap and resource utilization efficiency of three major food crops in the world——A review

Yield gap analysis could provide management suggestions to increase crop yields,while the understandings of resource utilization efficiency could help judge the rationality of the management.Based on more than 110 published papers and data from Food and Agriculture Organization (FAO,www.fao.org/faostat) and the Global Yield Gap and Water Productivity Atlas (www.yieldgap.org),this study summarized the concept,quantitative method of yield gap,yield-limiting factors,and resource utilization efficiency of the three major food crops (wheat,maize and rice).Currently,global potential yields of wheat,maize and rice were 7.7,10.4 and 8.5 t ha^(–1),respectively.However,actual yields of wheat,maize and rice were just 4.1,5.5 and 4.0 t ha^(–1),respectively.Climate,nutrients,moisture,crop varieties,planting dates,and socioeconomic conditions are the most mentioned yield-limiting factors.In terms of resource utilization,nitrogen utilization,water utilization,and radiation utilization efficiencies are still not optimal,and this review has summarized the main improvement measures.The current research focuses on quantitative potential yield and yield gap,with a rough explanation of yield-limiting factors.Subsequent research should use remote sensing data to improve the accuracy of the regional scale and use machine learning to quantify the role of yield-limiting factors in yield gaps and the impact of change crop management on resource utilization efficiency,so as to propose reasonable and effective measures to close yield gaps.

Comprehensive evaluation of rural courtyard utilization efficiency:A case study in Shandong Province,Eastern China

China is implementing the strategy of Rural Revitalization.Revitalizing idle and inefficient utilization courtyards is an important measure for rural revitalization.The evaluation of courtyard utilization efficiency is the basis of determining the idle and inefficient utilization courtyards in order to revitalizing it.This study provided a reference for the optimal use of rural courtyard utilization and revitalization through the quantitative comprehensive evaluation of courtyard utilization efficiency and the classification of courtyard utilization types.Taking Shandong Province in Eastern China as study area,we selected eight surveyed villages by stratified sampling method.According to the scale of the villages,full survey and sample survey were used,while middleaged men who familiar with the courtyards were selected as the respondents.Through a household questionnaire survey and face-to-face interviews from2017 to 2018,578 questionnaires of rural courtyardsin eight villages were obtained.Then based on the functions of rural courtyard and land resource conditions,16 comprehensive factors were formulated,involving land conditions,construction conditions and economic benefits,to build the comprehensive evaluation index system of rural courtyard utilization efficiency.Next the index weight was determined by analytic hierarchy process,and the linear weighted regression model was used to evaluate the utilization efficiency of rural courtyard.Finally,the K-means clustering analysis was used to classify the utilization efficiency of courtyards.The results showed that among the eight villages,the average utilization efficiency of courtyards was moderate(one village was low,five were moderate,and two were high).The proportions of both idle and inefficiently utilized courtyards were high.There were three vital factors leading to the idle and low efficiency of rural courtyards.They were declining rural industries,limited arable land per capita,and more farmer workers.In this case,the utilization efficiency of courtyards should be improved by transferring rural land,developing secondary and tertiary industries,evaluating the development potential of villages,classifying and optimizing courtyard utilization,so as to make full use of idle and inefficient courtyards,increase the income of farmers and collectives and promote the revitalization of rural areas.

基于CF-PCCs模型的维西县滑坡致灾因子敏感性分析

为了深入了解滑坡的成灾背景,减少灾害造成的生命财产损失,以云南省维西县为研究区,选取了高程、坡度、坡向、降水量、距河流距离、工程地质岩组、距断层距离、植被归一化指数(Normalized Difference Vegetation Index,NDVI)和道路密度9项致灾因子,利用确定性系数(Certainty Factor,CF)−皮尔逊积矩相关系数(Pearson Product-moment Correlation Coefficient,PCCs)模型对致灾因子进行敏感性分析,并对分析结果的准确性进行了验证.结果表明:①因子敏感性由高到低分别为坡向、河流、高程、降水量、断层、道路、坡度、工程地质岩组和NDVI;②敏感性最大的因子类别包括:高程为1486~2600 m,坡度为0°~20°,坡向为半阳坡,降水量为782~1178 mm,距河流距离为0~300 m,工程地质岩组为极软岩,距断层距离为2400~3200 m,NDVI为−0.169~0.039,道路密度为80~117 km/km2;③CF-PCCs模型精度高,数据分析结果可靠,该方法可为滑坡敏感性分析提供新思路.

Current Status of Antenatal Care Utilization in the Context of Data Conflict: The Case of Dembecha District, Northwest Ethiopia

Good antenatal care (ANC) is one of the most important health care aspects known to reduce maternal mortality. In Ethiopia, regional and national data at times do not concur thus data from district to district level decision making are needed. The aim of this study was, therefore, to assess the prevalence and correlates of ANC service utilization. A community based cross-sectional study was conducted among pregnant women. Multistage sampling was used. Pre-tested structured questionnaire was data collection tool. Data were analyzed using SPSS version 16.0 for windows. Logistic regression was used to assess possible association among variables. Odds ratio at 95% confidence interval was used to measure strength, and statistical significance of associations. Prevalence of ANC service utilization was 57%. Of these, more than 80% of them received ANC for ≥4 times. This finding is more similar to the regional report (68%) than that of EDHS (2011) for Amhara Region (34%). Marital status, educational status and income were important predictors for ANC service utilization. The most outstanding finding of this study was that more than 20% and 60% of mothers received antennal care, and information about antenatal care from health extension workers. Antenatal care utilization is still low. Single, divorced, or separated mothers were less likely to utilize ANC while economically better off, and literate mothers were more likely to use ANC services than their counterparts. The finding of this study is in line with the annual reports from the Regional health bureau and disagrees with Ethiopian demographic health survey—EDHS-(2011). Therefore, districts should be encouraged to make decisions based on their own locally generated data than based on EDHS data which could at times be discouraging for districts with better performance. Further strengthening of Health Extension Program is recommended.

Plug-In Vehicle Acceptance and Probable Utilization Behaviour

This paper presents a study undertaken to understand the plug-in vehicle acceptance and probable utilization behaviour in terms of charging habits and utility factor (probability of driving in electrical mode). A survey was designed to be answered via World Wide Web, throughout 3 months and only accessible to Portuguese inhabitants. The survey was composed by biographical and car ownership info, mobility patterns, awareness toward plug-in vehicle technologies, price premium and, finally, potential buyer’s attitudes regarding charging vehicles with electricity from the grid. An explanation of how each vehicle technology works in the case of a regular hybrid (HEV), a plug-in hybrid (PHEV) and a pure electric vehicle (EV) was provided. A total sample of 809 volunteers answered the survey, aged above 18 years old, 50% male and 50% female. The results allowed the estimation of the typical daily driving distance, the Utility Factor curve for plug-in hybrid future users, the charging preferences for future users of pure electric or plug-in hybrid vehicles and the necessary feebates to promote the market penetration of such technologies. Other correlations were also analyzed between driving patterns, type of owned car, price premium and the willingness to buy pure electric and plug-in hybrid vehicles. The main policy implications are that an increase of awareness campaigns is necessary if the government intends to support the plug-in electric vehicle technology widespread and a minimum of 5000 € investment per ton of avoided CO2 will be necessary in a year.

Impact of Greenization on the Marginal Utility of Intensity of Carbon Emissions and Factors Affecting it in China

The impact of greenization on the marginal utility of the intensity of carbon emissions in China and factors influ-encing this relationship are explored in this study.China’s level of greenization is evaluated by using an index system developed based on the comprehensive index method.The intensity of carbon emissions is determined by using the standards for the coefficients of conversion of coal equivalent and coefficients of carbon emission.The impact of greenization on the marginal utility of the intensity of carbon emissions is then evaluated by using an elastic formula and factors affecting this relationship are verified by regression analysis.The results are as fol-lows:(1)China’s level of greenization has exhibited a trend of constant increase.The intensity of carbon emissions has followed a continual downward trend while the impact of greenization on the marginal utility of the intensity of these emissions has been declining.(2)Urbanization as well as scientific and technological developments have slowed the reduction in the marginal utility of the intensity of carbon emissions,whereas the structure of energy consumption has expedited it under the diminishing impact of greenization.The standard of living of the popu-lation,intensity of environmental regulation,and environmental quality have had different influences under dif-ferent conditions.

Self-reported ischemic heart disease: Prevalence, sociodemographics, health behavior, health-care utilization, and quality of life

The aim of this study was to present the prevalence of self-reported Ischemic Heart Disease (IHD) based on a national population-based survey and to characterize people with self-reported IHD with respect to health behavior, risk factors, health-care services utilization and health-related HRQoL;further to compare people with self-reported IHD to those with other chronic illness and people without chronic illness. Based on the Danish Health Interview Survey 2005 (SUSY), a sample of 10,983 persons aged 35 years or older was examined. Data was collected through personal interviews (response rate = 66.7%) and self-administered questionnaires (51.5%). The sample was divided into three mutual exclusive groups: IHD;other chronic illnesses;and no chronic illness. The prevalence of IHD was 5.6% (5.2 - 6.0). The disease was more common in men than women, and the average age was 67.5 years. People with self-reported IHD were characterized as having poorer health behaviors;more risk factors: 40% smokers, 21% sedentary lifestyle, 26% obese;higher utilization of the health-care services;and poorer HRQoL. When compared to people with other chronic diseases, people with IHD continued to show the same characteristics. The IHD group had more problems affecting their daily lives than the other two groups. The issues that affected the people with IHD have also been shown to increase the load on the health-care system. Therefore, it is important to the patients, health-care, and society that the prevalence of IHD is reduced and the burden of disease is made a priority.

基于CF模型的斜坡地质灾害孕灾因子敏感性分析——以湖南省新宁县为例

在不同的区域及地质背景下,斜坡地质灾害的主控因子及其影响程度各不相同,分析孕灾因子的敏感性,有利于提高斜坡地质灾害预测的准确性。在资料收集和实地调查工作的基础上,选取了坡度、高程、剖面曲率、地层、斜坡结构、断裂、河流和归一化植被指数(normalized difference vegetation index,NDVI)共8个因子作为斜坡地质灾害的孕灾因子;基于GIS平台,采用确定性系数(certainty factor,CF)模型进行敏感性分析,并通过敏感性指数评价各因子的敏感性大小并划分敏感性分区。结果表明:坡度≥40°、高程[600,700 m)、剖面曲率≥0.6、三叠系和二叠系、顺向坡、距断层距离[0,500) m、距河流距离[0,200) m以及NDVI为[0.233,0.595)最容易发生灾害,由高到底划分为极高、高、中、低和极低5个敏感区,同时采用2020—2021年的灾害数据进行了验证,87.50%的灾害位于高敏感区和极高敏感区内,证实了敏感性分析的合理性。研究成果为下一步风险评价工作奠定了基础,为防灾减灾工作提供了参考,也可为湖南省其他县区提供借鉴。

基于TOE框架的公共数据开放利用水平影响因素及提升路径分析

[目的/意义]揭示公共数据开放利用多重影响因素耦合下的多元路径,有助于深化理解公共数据利用联动效应,促进数据价值释放。[方法/过程]以27个省份为研究对象,基于TOE框架构建公共数据开放利用影响因素框架,通过模糊集定性比较分析和必要条件分析的方法进行组态路径分析,最终基于组态分析结果提出相应路径提升对策。[结果/结论]高与非高公共数据开放利用均存在4类组态路径,为其他地区因地制宜提升公共数据开放利用水平提供了路径借鉴。我国各地方应遵循国家公共数据开放指导思想,结合地方优势和特点选择适宜的路径以提升公共数据开放利用水平。

数字经济、绿色创新与企业绿色全要素生产率

文章从绿色创新视角切入,以2011—2022年中国沪深A股重污染行业上市公司为样本,实证考察了城市数字经济对重污染企业绿色全要素生产率的影响效应和内在机制。研究发现:数字经济对重污染企业绿色全要素生产率具有显著的提升作用,且对国有性质和中小城市的重污染企业的促进作用更强;绿色创新是数字经济驱动重污染企业绿色生产的重要传导机制,但仅绿色发明专利申请量有中介效应,增加绿色实用新型专利不是数字经济提升重污染企业绿色全要素生产率的有效途径;数字经济对重污染企业绿色全要素生产率的推动作用表现出边际效应递增的非线性特征,且两者之间的关系存在绿色创新的门槛约束,随着绿色发明专利和绿色实用新型专利申请量的增加,数字经济对重污染企业绿色全要素生产率的促进作用分别表现出效应增强和效应减弱的非线性特征。