Assessment standard for green store building of national standard has been compiled. The index has been given by experts' subjective assignment based on experience. Analytic hierarchy process has been used,making ...Assessment standard for green store building of national standard has been compiled. The index has been given by experts' subjective assignment based on experience. Analytic hierarchy process has been used,making questionnaires of experts,using pairwise comparison and calculating the weight of each index. The weight of index in assessment would not only make quantitative evaluation on the whole situation of green store buildings,but also provide the foundation for compilation and revision.展开更多
This study aims to have a single coefficient resulting from the integration of all the reservoir parameters through which a decision can be taken to determine the best quality places in the reservoir. The conventional...This study aims to have a single coefficient resulting from the integration of all the reservoir parameters through which a decision can be taken to determine the best quality places in the reservoir. The conventional well logging data in nine wells were used to determine the reservoir parameters in the study area. Seven different parameters were calculated, five of them were directly proportional to the quality of the reservoir, while the remaining two parameters which represent shale volume and water saturation were inversely proportional to the reservoir quality. The index of each parameter was calculated. A new value was created from the integration of the seven different parameter indexes called the weighted index for the reservoir quality. The reservoir quality values were sliced in the three dimensions depending on the effect of all reservoir parameters and not on any single parameter. It is clear from the results of this study that horizontal and vertical slicing, as well as cut-off values, illustrates that the middle and upper parts are the best places for the reservoir to explore hydrocarbons, where the values of the weighted index of the reservoir quality range from 0.65 to 0.9. Meanwhile, the quality of the reservoir decreases in its lower parts.展开更多
[Objective] The research aimed to assess the water resources carrying capacity in Guizhou Province based on the cosine vector included angle method. [Method] By using the cosine vector included angle method, the index...[Objective] The research aimed to assess the water resources carrying capacity in Guizhou Province based on the cosine vector included angle method. [Method] By using the cosine vector included angle method, the index weight was determined. The projection value of water resources carrying capacity in Guizhou Province was counted by using the multi-objective gray relational projection method. Moreover, the projection value which was counted by the index weight determined by the mean-variance method was as the control. [Result] The projection values which were obtained by two kinds of methods were very close, and the ordering result was consistent. [Conclusion] In the assessment of water resources carrying capacity, it was feasible to use the cosine vector included angle method to determine the index weight.展开更多
For the gray attributes of the equipment program and its difficulty to carry out the quantitative assessment of the equipment program information, the gray relation projection method is simply reviewed. Combining the ...For the gray attributes of the equipment program and its difficulty to carry out the quantitative assessment of the equipment program information, the gray relation projection method is simply reviewed. Combining the super-data envelopment analysis（DEA） model and the gray system theory, a new super-DEA for measuring the weight is proposed, and a gray relation projection model is established to rank the equipment programs. Finally, this approach is used to evaluate the equipment program. The results are verified valid and can provide a new way for evaluating the equipment program.展开更多
Polyaluminum chloride(PAC)was used as coagulant and suspended particles in kaolin water.Online instruments including turbidimeter and particle counter were used to monitor the flocculation process.An evaluation model ...Polyaluminum chloride(PAC)was used as coagulant and suspended particles in kaolin water.Online instruments including turbidimeter and particle counter were used to monitor the flocculation process.An evaluation model for demonstrating the impact on the flocculation effect was established based on the multiple linear regression analysis method.The parameter of the index weight of channels quantitatively described how the variation of floc particle population in different size ranges cause the decrement of turbidity.The study showed that the floc particles in different size ranges contributed differently to the decrease of turbidity and that the index weight of channel could excellently indicate the impact degree of floc particles dynamic distribution on flocculation effect.Therefore,the parameter may significantly benefit the development of coagulation and sedimentation techniques as well as the optimal coagulant selection.展开更多
Imbalanced data is one type of datasets that are frequently found in real-world applications,e.g.,fraud detection and cancer diagnosis.For this type of datasets,improving the accuracy to identify their minority class ...Imbalanced data is one type of datasets that are frequently found in real-world applications,e.g.,fraud detection and cancer diagnosis.For this type of datasets,improving the accuracy to identify their minority class is a critically important issue.Feature selection is one method to address this issue.An effective feature selection method can choose a subset of features that favor in the accurate determination of the minority class.A decision tree is a classifier that can be built up by using different splitting criteria.Its advantage is the ease of detecting which feature is used as a splitting node.Thus,it is possible to use a decision tree splitting criterion as a feature selection method.In this paper,an embedded feature selection method using our proposed weighted Gini index(WGI)is proposed.Its comparison results with Chi2,F-statistic and Gini index feature selection methods show that F-statistic and Chi2 reach the best performance when only a few features are selected.As the number of selected features increases,our proposed method has the highest probability of achieving the best performance.The area under a receiver operating characteristic curve(ROC AUC)and F-measure are used as evaluation criteria.Experimental results with two datasets show that ROC AUC performance can be high,even if only a few features are selected and used,and only changes slightly as more and more features are selected.However,the performance of Fmeasure achieves excellent performance only if 20%or more of features are chosen.The results are helpful for practitioners to select a proper feature selection method when facing a practical problem.展开更多
The accurate prediction of poverty is critical to efforts of poverty reduction,and high-resolution remote sensing(HRRS)data have shown great promise for facilitating such prediction.Accordingly,the present study used ...The accurate prediction of poverty is critical to efforts of poverty reduction,and high-resolution remote sensing(HRRS)data have shown great promise for facilitating such prediction.Accordingly,the present study used HRRS with 1 m resolution and 238 households data to evaluate the utility and optimal scale of HRRS data for predicting household poverty in a grassland region of Inner Mongolia,China.The prediction of household poverty was improved by using remote sensing indicators at multiple scales,instead of indicators at a single scale,and a model that combined indicators from four scales(building land,household,neighborhood,and regional)provided the most accurate prediction of household poverty,with testing and training accuracies of 48.57%and 70.83%,respectively.Furthermore,building area was the most efficient indicator of household poverty.When compared to conducting household surveys,the analysis of HRRS data is a cheaper and more time-efficient method for predicting household poverty and,in this case study,it reduced study time and cost by about 75%and 90%,respectively.This study provides the first evaluation of HRRS data for the prediction of household poverty in pastoral areas and thus provides technical support for the identification of poverty in pastoral areas around the world.展开更多
Groundwater levels are gradually declining in basins around the world due to anthropogenic and natural factors.Climate is not the only factor contributing to change in groundwater levels,population growth and economic...Groundwater levels are gradually declining in basins around the world due to anthropogenic and natural factors.Climate is not the only factor contributing to change in groundwater levels,population growth and economic progress are leading to increased water demand.Areas used for agricultural irrigation are expanding,necessitating the use of artificial groundwater recharge as a method to sustain pumping and enhance storage.The present study delineates potential locations of significant groundwater resources that already exist using a geostatistical approach as a method to identify potential groundwater recharge zones.The Multi-Influencing Factors(MIF)technique was applied to determine the relationship between different landscape and climatic factors that influence groundwater recharge.Factors include topography,climate,hydrogeology,population,economic change,and geology.Integration of these factors enabled the identification of potential locations of groundwater suitable for artificial recharge efforts based on weights derived through the MIF technique.We applied these weights to derive a groundwater recharge index(GRI)map.The map was delineated into three groundwater recharge zones classified by their potential areal coverage as a metric for recharge suitability,namely low,medium and high suitability,occupying areas of 8625 km2(30.06%),9082 km2(31.65%),and 10,989 km~2(38.29%),respectively.Our findings have important implications for designing sustainable groundwater development and land-use plans for the coming century.展开更多
Shijiuyang Constructed Wetland（110 hm^2） is a drinking water source treatment wetland with primary structural units of ponds and plant-bed/ditch systems. The wetland can process about 250,000 tonnes of source water ...Shijiuyang Constructed Wetland（110 hm^2） is a drinking water source treatment wetland with primary structural units of ponds and plant-bed/ditch systems. The wetland can process about 250,000 tonnes of source water in the Xincheng River every day and supplies raw water for Shijiuyang Drinking Water Plant. Daily data for 28 months indicated that the major water quality indexes of source water had been improved by one grade. The percentage increase for dissolved oxygen and the removal rates of ammonia nitrogen, iron and manganese were 73.63%, 38.86%, 35.64%, and 22.14% respectively. The treatment performance weight of ponds and plant-bed/ditch systems was roughly equal but they treated different pollutants preferentially. Most water quality indexes had better treatment efficacy with increasing temperature and inlet concentrations. These results revealed that the pond–wetland complexes exhibited strong buffering capacity for source water quality improvement. The treatment cost of Shijiuyang Drinking Water Plant was reduced by about 30.3%. Regional rainfall significantly determined the external river water levels and adversely deteriorated the inlet water quality, thus suggesting that the ＂hidden＂ diffuse pollution in the multitudinous stream branches as well as their catchments should be the controlling emphases for river source water protection in the future. The combination of pond and plant-bed/ditch systems provides a successful paradigm for drinking water source pretreatment. Three other drinking water source treatment wetlands with ponds and plant-bed/ditch systems are in operation or construction in the stream networks of the Yangtze River Delta and more people will be benefited.展开更多
Improving the stability of the homogenization process to achieve the homogeneity of tobacco products is one of important targets for the redrying industry.According to the specification for threshing and redrying proc...Improving the stability of the homogenization process to achieve the homogeneity of tobacco products is one of important targets for the redrying industry.According to the specification for threshing and redrying process,a total of 14 indicators in three categories that affect the quality of the threshing and redrying process were selected.Using analytic hierarchy process,combined with expert experiences,a judgment matrix was constructed to conduct consistency test.The weights of indices in production were obtained.This will help in evaluating the actual production quality,finding the weak links of process and adjusting the parameters of the corresponding links in a targeted manner,thereby improving the quality of production process.展开更多
This paper examined the prioritized climate-smart agricultural practices by smallholder farmers,the motivations of adopting climate-smart agricultural practices,the enablers to the successful adoption of climate-smart...This paper examined the prioritized climate-smart agricultural practices by smallholder farmers,the motivations of adopting climate-smart agricultural practices,the enablers to the successful adoption of climate-smart agricultural practices,and the barriers to the successful adoption of climate-smart agricultural practices in the transitional and savannah agroecological zones of Ghana.Specifically,we employed ethnographic research using participatory approaches,including two stakeholder workshops and household surveys with 1061 households in the transitional and savannah agroecological zones of Ghana.The weighted average index(WAI)and problem confrontation index(PCI)were used to rank smallholder farmers’perceived enablers to the adoption of climate-smart agricultural practices and the barriers affecting climate-smart agricultural practices,respectively.Results suggest that the majority of the respondents used a suite of climate-smart agricultural practices,including the timely harvesting of produce and storage,emergency seed banking,appropriate and timely weed and pest control,and early planting as practices to build climate resilience.The majority of smallholder farmers primarily employed climate-smart agricultural practices to improve household food security(96.2%),reduce pests and diseases(95.6%),and obtain higher yields and greater farm income(93.2%).Findings also show that secured land tenure system arrangement,understanding the effects of climate change,and access to sustainable agricultural technologies were ranked the first,second,and third most important enablers to the adoption of climate-smart agricultural practices with the WAI values of 2.86,2.75,and 2.70,respectively.Key barriers to the successful adoption of climate-smart agricultural practices included incidences of pests and diseases(PCI=2530),inadequate access to agricultural credit(PCI=2502),high cost of improved crop varieties(PCI=2334),and limited government support with farm inputs(PCI=2296).Smallholder farmers need to be better supported through the provision of appropriate institutional and policy arrangements together with improved land management extension advice to overcome these barriers and facilitate the more effective implementation of climate-smart agricultural practices in Ghana.展开更多
The Dajiu Lake is an important subtropical alpine wetland in central China.In May of 2019,an ecological investigation was conducted on water quality and aquatic organisms(phytoplankton,zooplankton and zoobenthos)of th...The Dajiu Lake is an important subtropical alpine wetland in central China.In May of 2019,an ecological investigation was conducted on water quality and aquatic organisms(phytoplankton,zooplankton and zoobenthos)of the Dajiu Lake in Shennongjia forest region.The results showed that parameters of water quality in No.5 and No.9 sub lakes of the Dajiu Lake corresponded with standard of class II water of the Environmental Quality Standards for Surface Water(GB 3838-2002),while other sub lakes corresponded with standard of class III water.Diversity indexes of phytoplankton and zooplankton ranged from 2.0 to 3.0,and there were two families(Chironomidae and Libellulidae Rambur)of one phylum(Arthropoda)in zoobenthos.Comprehensive health index of entropy weight was used to evaluate water ecological status of the Dajiu Lake,and water quality of No.5,No.8 and No.9 sub lakes was in a healthy status,while other sub lakes were in sub-health status.Finally,corresponding countermeasures were proposed according to protection needs of the Dajiu Lake.展开更多
Human capital,as a synthesis of wisdom and physical fitness condensed in workers,is sometimes confused with technological innovation by existing literature.This paper makes comparisons between these two terminologies....Human capital,as a synthesis of wisdom and physical fitness condensed in workers,is sometimes confused with technological innovation by existing literature.This paper makes comparisons between these two terminologies.Technological innovation is a short-term activity that attaches importance to economic benefits while human capital accumulation is a long-term strategic process with lifelong benefits,and human capital is the foundation of technological innovation.In empirical part,this paper adopts Solow Residual Method to calculate stock,elasticity and growth rate of human capital of 10 countries after eliminating physical capital,labor force and technological innovation.It is found that human capital stock in the United States is the largest and human capital growth in China is the fastest.Calculation is followed by measurement.We construct a comprehensive index of human capital by using Index Weight Assignment Method and Two-level&Three-factor CES Function to measure and predict human capital level in China.Both calculating and measuring results show that growth rate of China’s human capital is around 5%.In the future,for high-quality economic development,China should give priority to human capital development and comprehensively improve human capital competitiveness.展开更多
Space is a high-tech field integrating materials, electronic information, manufacture, energy, medicine ana other disciplines. A number of disruptive technologies in various fields will have an important influence in ...Space is a high-tech field integrating materials, electronic information, manufacture, energy, medicine ana other disciplines. A number of disruptive technologies in various fields will have an important influence in areas such as space industry, scientific research on space and even military space. This article focuses on disruptive technologies exerting enormous influence in the space field based on the qualitative and quantitative research of disruptive technolo- gies. The research and application for disruptive space technology is expected to greatly improve the emciency of space system, significantly reducing research cost, and to promote a great improvement of space technology level,展开更多
To improve the enterprise resource utilization and shorten the cycle of the whole project portfolio, a scheduling model based on Design Structure Matrix （DSM） is built. By setting the project activity weight index s...To improve the enterprise resource utilization and shorten the cycle of the whole project portfolio, a scheduling model based on Design Structure Matrix （DSM） is built. By setting the project activity weight index system and calculating the activity weight for the project portfolio, the constraint relationship between project portfolio information and resource utilization, as the two dimensions of the DSM, are fully reflected in the sched- ule model to determine the order of these activities of project portfolio. A project portfolio example is given to il- lustrate the applicability and effectiveness of the schedule model.展开更多
In regions with unpredictable rainfall and limited water supply,it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development.This study utilizes the ...In regions with unpredictable rainfall and limited water supply,it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development.This study utilizes the Analytic Hierarchy Process(AHP)in combination with Geographic Information Systems(GIS)to evaluate the potential groundwater zones in the Gombora watershed within the Omo Gibe basin in Ethiopia.Combining these two tools provided a detailed map showing potential groundwater areas.These zones are determined based on various thematic maps containing information about geology,soil texture,lineament density,slope,land use,and drainage density.The AHP method combines these data layers by assigning weights to each layer based on its importance for groundwater recharge.These weighted layers are then overlaid using a GIS platform to produce a conclusive map of potential groundwater areas.The groundwater potential within the watershed was qualitatively divided into five categories with area coverages of very good(1.6%),good(7.4%),moderate(21.4%),poor(51.6%),and very poor(17.9%)of thewatershed area.The accuracy of the groundwater potential zones was evaluated using the receiver operating characteristic(ROC)curve and the area under the curve(AUC),producing good results(AUC=75.5%).This research has shown that integrating AHP with GIS can effectively pinpoint potential groundwater zones.Additionally,the findings could play a key role in determining suitable locations for new groundwater wells and supplying valuable insights to decision-makers to aid in planning and implementing sustainable strategies for managing groundwater resources in the watershed.展开更多
Artificial fishponds play a pivotal role in global aquaculture, serving as a source of livelihood and nourishment for many communities. Ensuring the sustained health and productivity of Fishes in these environments re...Artificial fishponds play a pivotal role in global aquaculture, serving as a source of livelihood and nourishment for many communities. Ensuring the sustained health and productivity of Fishes in these environments relies heavily on water quality management. This assessment was done to determine the water quality of ten artificial fishponds in the south-eastern part of Sierra Leone using twelve physicochemical factors (pH, BOD, EC, TDS, turbidity, COD, Fe<sup>2+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, NH<sub>3</sub>, , and alkalinity) to find out the Water Quality Index (WQI) and spatial distribution of respective parameters. The assessment of artificial fishponds using WQI and Inverse Distant Weighting (IDW) integration represents a relatively underexplored area within the domain of environmental water resources. The WQI was determined using the “Weighted Arithmetic Water Quality Index’’ method. The results of WQI in the study area range from 65.05 to 147.26. Several locations have water quality deemed unsuitable for consumption, while others range from good to very poor. It is essential to address and improve water quality in locations categorized as unsuitable for consumption and very poor to ensure safe and healthy water sources. It was also clear from the calculation that the smaller the mean concentration value of the pH as compared to the ideal value (7), the smaller the WQI value and the better the water quality. To keep the artificial fishpond water in good condition, mass domestic use should be controlled, and draining of surrounding organic matter should be stopped in ponds Bo_001, Kenema_001, and Kenema_002.展开更多
Expansive soils present a significant geohazard to light infrastructure world-wide,causing costly damage through swelling and shrinkage cycles driven by moisture content changes.One key property controlling this behav...Expansive soils present a significant geohazard to light infrastructure world-wide,causing costly damage through swelling and shrinkage cycles driven by moisture content changes.One key property controlling this behavior,the Cation Exchange Capacity(CEC),is complex and expensive to measure directly,making it necessary to find reliable and affordable proxies for initial site assessments.This study introduces and validates a novel parameter,the weighted plasticity index(wPI),for classifying the swelling potential of expansive clays.Twenty-six soil samples,representing a range from low to high plasticity clays from Trinidad,underwent standard geotechnical laboratory tests,including Atterberg limits and grain size analysis.The wPI was calculated for each sample as the product of its Plasticity Index(PI)and the percentage of fine particles(percent passing the 425-μm sieve).A strong linear relationship(R^(2)=0.94)was found between the wPI and the Liquid Limit(LL).Using a previously established relationship between LL and CEC,a robust mathematical model connecting wPI directly to CEC was derived.This model formed the basis for a new four-tiered swelling potential classification system(Low,Medium,High,and Very High)based on the calculated wPI values.The wPI method provides a reliable,quick,and cost-effective tool for geotechnical engineers to evaluate swelling potential,promoting the design of more resilient and sustainable infrastructure in areas prone to expansive soils.展开更多
Background Comorbidity is one of the most important determinants ot short-term and long-term outcomes in septic patients. Charlson＇s weighted index of comorbidities （WIC） and the chronic health score （CHS）, which...Background Comorbidity is one of the most important determinants ot short-term and long-term outcomes in septic patients. Charlson＇s weighted index of comorbidities （WIC） and the chronic health score （CHS）, which is a component of the acute physiology and chronic health evaluation （APACHE） II, are two frequently-used measures of comorbidity. In this study, we assess the performance of WIC and CHS in predicting the hospital mortality of intensive care unit （ICU） patients with sepsis. Methods A total of 338 adult patients with sepsis were admitted to a multisystem ICU between October 2010 and August 2012. Clinical data were collected, including age, gender, underlying diseases, key predisposing causes, severity-of- sepsis, and hospital mortality. The APACHE II, CHS, acute physiology score （APS）, sequential organ failure assessment （SOFA） and WIC scores were assessed within the first 24 hours of admission. Univariate and multiple Logistic regression analyses were used to compare the performance of WlC and CHS. The area under the receiver operating characteristic curve （AUC） was used to predict hospital mortality over classes of risk. Results Of all the enrolled patients, 224 patients survived and 114 patients died. The surviving patients had significantly lower WlC, CHS, APACHE II, and SOFA scores than the non-surviving patients （P 〈0.05）. Combining WIC or CHS with other administrative data showed that the hospital mortality was significantly associated with age, severe sepsis, key predisposing causes such as pneumonia, a history of underlying diseases such as hypertension and congestive cardiac failure, and WlC, CHS and APS scores （P 〈0.05）. The AUC for the hospital mortality were 0.564 （95% confidence interval （CO 0.496-0.631） of CHS, 0.663 （95% CI 0.599-0.727） of WIC, 0.770 （95% CI 0.718-0.822） of APACHE II, 0.856 （95% Cl 0.815-0.897） of the CHS combined with other administrative data, and 0.857 （95% CI 0.817-0.897） of the WlC combined with other administrative data. The diagnostic value of WIC was better than that of CHS （P=0.0015）. Conclusions The WlC and CHS scores might be independent determinants for hospital mortality among ICU patients with sepsis. WlC might be an even better predictor of the mortality of septic patients with comorbidities than CHS. Chin Med J 2014;127 （14）： 2623-2627展开更多
基金Sponsored by the National Project of Scientific and Technical Supporting Programs of Ministry of Science & Technology of China(Grant No.2012BAJ10B02)
文摘Assessment standard for green store building of national standard has been compiled. The index has been given by experts' subjective assignment based on experience. Analytic hierarchy process has been used,making questionnaires of experts,using pairwise comparison and calculating the weight of each index. The weight of index in assessment would not only make quantitative evaluation on the whole situation of green store buildings,but also provide the foundation for compilation and revision.
文摘This study aims to have a single coefficient resulting from the integration of all the reservoir parameters through which a decision can be taken to determine the best quality places in the reservoir. The conventional well logging data in nine wells were used to determine the reservoir parameters in the study area. Seven different parameters were calculated, five of them were directly proportional to the quality of the reservoir, while the remaining two parameters which represent shale volume and water saturation were inversely proportional to the reservoir quality. The index of each parameter was calculated. A new value was created from the integration of the seven different parameter indexes called the weighted index for the reservoir quality. The reservoir quality values were sliced in the three dimensions depending on the effect of all reservoir parameters and not on any single parameter. It is clear from the results of this study that horizontal and vertical slicing, as well as cut-off values, illustrates that the middle and upper parts are the best places for the reservoir to explore hydrocarbons, where the values of the weighted index of the reservoir quality range from 0.65 to 0.9. Meanwhile, the quality of the reservoir decreases in its lower parts.
基金Supported by Guizhou Province Science and Technology Fund Item(Guizhou Science Together (2009) 2251)High-level PersonnelSpecial Assistance Fund in Guizhou Province (TZJF (2009) 25)Ministry of Education Science and Technology Research Key Item(210201)~~
文摘[Objective] The research aimed to assess the water resources carrying capacity in Guizhou Province based on the cosine vector included angle method. [Method] By using the cosine vector included angle method, the index weight was determined. The projection value of water resources carrying capacity in Guizhou Province was counted by using the multi-objective gray relational projection method. Moreover, the projection value which was counted by the index weight determined by the mean-variance method was as the control. [Result] The projection values which were obtained by two kinds of methods were very close, and the ordering result was consistent. [Conclusion] In the assessment of water resources carrying capacity, it was feasible to use the cosine vector included angle method to determine the index weight.
基金supported by the National Natural Science Foundation of China(7107307971222106+2 种基金70901069)the Research Foundation of the National Excellent Doctoral Dissertation of Chinathe Research Fund for the Doctoral Program of Higher Education(20133402110028)
文摘For the gray attributes of the equipment program and its difficulty to carry out the quantitative assessment of the equipment program information, the gray relation projection method is simply reviewed. Combining the super-data envelopment analysis（DEA） model and the gray system theory, a new super-DEA for measuring the weight is proposed, and a gray relation projection model is established to rank the equipment programs. Finally, this approach is used to evaluate the equipment program. The results are verified valid and can provide a new way for evaluating the equipment program.
基金supported by the National Natural Science Foundation of China(No.50678047)the National High Technology Research and Development Program of China(No.2006AA06Z305)the National Science and Technology Project of Eleventh Five Years(No.2006BAJ08B05-2)
文摘Polyaluminum chloride(PAC)was used as coagulant and suspended particles in kaolin water.Online instruments including turbidimeter and particle counter were used to monitor the flocculation process.An evaluation model for demonstrating the impact on the flocculation effect was established based on the multiple linear regression analysis method.The parameter of the index weight of channels quantitatively described how the variation of floc particle population in different size ranges cause the decrement of turbidity.The study showed that the floc particles in different size ranges contributed differently to the decrease of turbidity and that the index weight of channel could excellently indicate the impact degree of floc particles dynamic distribution on flocculation effect.Therefore,the parameter may significantly benefit the development of coagulation and sedimentation techniques as well as the optimal coagulant selection.
基金supported in part by the National Science Foundation of USA(CMMI-1162482)
文摘Imbalanced data is one type of datasets that are frequently found in real-world applications,e.g.,fraud detection and cancer diagnosis.For this type of datasets,improving the accuracy to identify their minority class is a critically important issue.Feature selection is one method to address this issue.An effective feature selection method can choose a subset of features that favor in the accurate determination of the minority class.A decision tree is a classifier that can be built up by using different splitting criteria.Its advantage is the ease of detecting which feature is used as a splitting node.Thus,it is possible to use a decision tree splitting criterion as a feature selection method.In this paper,an embedded feature selection method using our proposed weighted Gini index(WGI)is proposed.Its comparison results with Chi2,F-statistic and Gini index feature selection methods show that F-statistic and Chi2 reach the best performance when only a few features are selected.As the number of selected features increases,our proposed method has the highest probability of achieving the best performance.The area under a receiver operating characteristic curve(ROC AUC)and F-measure are used as evaluation criteria.Experimental results with two datasets show that ROC AUC performance can be high,even if only a few features are selected and used,and only changes slightly as more and more features are selected.However,the performance of Fmeasure achieves excellent performance only if 20%or more of features are chosen.The results are helpful for practitioners to select a proper feature selection method when facing a practical problem.
基金This study was supported by the Key Science and Technology Program of Inner Mongolia(Grant No.ZDZX2018020,2020GG0007,2019GG009)Natural Science Founda-tion of Inner Mongolia(Grant No.2020MS03068)+1 种基金Research Project of China Institute of Water Resources and Hydropower Research(Grant No.MK2019J02)Grassland Talents Program of Inner Mongolia(Grant No.CYYC9013).
文摘The accurate prediction of poverty is critical to efforts of poverty reduction,and high-resolution remote sensing(HRRS)data have shown great promise for facilitating such prediction.Accordingly,the present study used HRRS with 1 m resolution and 238 households data to evaluate the utility and optimal scale of HRRS data for predicting household poverty in a grassland region of Inner Mongolia,China.The prediction of household poverty was improved by using remote sensing indicators at multiple scales,instead of indicators at a single scale,and a model that combined indicators from four scales(building land,household,neighborhood,and regional)provided the most accurate prediction of household poverty,with testing and training accuracies of 48.57%and 70.83%,respectively.Furthermore,building area was the most efficient indicator of household poverty.When compared to conducting household surveys,the analysis of HRRS data is a cheaper and more time-efficient method for predicting household poverty and,in this case study,it reduced study time and cost by about 75%and 90%,respectively.This study provides the first evaluation of HRRS data for the prediction of household poverty in pastoral areas and thus provides technical support for the identification of poverty in pastoral areas around the world.
文摘Groundwater levels are gradually declining in basins around the world due to anthropogenic and natural factors.Climate is not the only factor contributing to change in groundwater levels,population growth and economic progress are leading to increased water demand.Areas used for agricultural irrigation are expanding,necessitating the use of artificial groundwater recharge as a method to sustain pumping and enhance storage.The present study delineates potential locations of significant groundwater resources that already exist using a geostatistical approach as a method to identify potential groundwater recharge zones.The Multi-Influencing Factors(MIF)technique was applied to determine the relationship between different landscape and climatic factors that influence groundwater recharge.Factors include topography,climate,hydrogeology,population,economic change,and geology.Integration of these factors enabled the identification of potential locations of groundwater suitable for artificial recharge efforts based on weights derived through the MIF technique.We applied these weights to derive a groundwater recharge index(GRI)map.The map was delineated into three groundwater recharge zones classified by their potential areal coverage as a metric for recharge suitability,namely low,medium and high suitability,occupying areas of 8625 km2(30.06%),9082 km2(31.65%),and 10,989 km~2(38.29%),respectively.Our findings have important implications for designing sustainable groundwater development and land-use plans for the coming century.
基金upported by the National Natural Science Foundation of China (No. 51278487)the Major National Water Pollution Control and Management Project of China (Nos. 2012ZX07403-003-03, 2008ZX07421-001)+1 种基金the National Basic Research Program (973) of China (No. 2009CB421103)the Knowledge Innovation Program of the Chinese Academy of Sciences (No. KZCX2-EW-410-05)
文摘Shijiuyang Constructed Wetland（110 hm^2） is a drinking water source treatment wetland with primary structural units of ponds and plant-bed/ditch systems. The wetland can process about 250,000 tonnes of source water in the Xincheng River every day and supplies raw water for Shijiuyang Drinking Water Plant. Daily data for 28 months indicated that the major water quality indexes of source water had been improved by one grade. The percentage increase for dissolved oxygen and the removal rates of ammonia nitrogen, iron and manganese were 73.63%, 38.86%, 35.64%, and 22.14% respectively. The treatment performance weight of ponds and plant-bed/ditch systems was roughly equal but they treated different pollutants preferentially. Most water quality indexes had better treatment efficacy with increasing temperature and inlet concentrations. These results revealed that the pond–wetland complexes exhibited strong buffering capacity for source water quality improvement. The treatment cost of Shijiuyang Drinking Water Plant was reduced by about 30.3%. Regional rainfall significantly determined the external river water levels and adversely deteriorated the inlet water quality, thus suggesting that the ＂hidden＂ diffuse pollution in the multitudinous stream branches as well as their catchments should be the controlling emphases for river source water protection in the future. The combination of pond and plant-bed/ditch systems provides a successful paradigm for drinking water source pretreatment. Three other drinking water source treatment wetlands with ponds and plant-bed/ditch systems are in operation or construction in the stream networks of the Yangtze River Delta and more people will be benefited.
基金Science and Technology Foundation of Hunan Branch of China National Tobacco Corporation(HN2020KJ14,HN2020KJ17).
文摘Improving the stability of the homogenization process to achieve the homogeneity of tobacco products is one of important targets for the redrying industry.According to the specification for threshing and redrying process,a total of 14 indicators in three categories that affect the quality of the threshing and redrying process were selected.Using analytic hierarchy process,combined with expert experiences,a judgment matrix was constructed to conduct consistency test.The weights of indices in production were obtained.This will help in evaluating the actual production quality,finding the weak links of process and adjusting the parameters of the corresponding links in a targeted manner,thereby improving the quality of production process.
基金the Future Leaders-African Independent Research(FLAIR)Fellowships funded by the Royal Society,London(FLR\R1\201640).
文摘This paper examined the prioritized climate-smart agricultural practices by smallholder farmers,the motivations of adopting climate-smart agricultural practices,the enablers to the successful adoption of climate-smart agricultural practices,and the barriers to the successful adoption of climate-smart agricultural practices in the transitional and savannah agroecological zones of Ghana.Specifically,we employed ethnographic research using participatory approaches,including two stakeholder workshops and household surveys with 1061 households in the transitional and savannah agroecological zones of Ghana.The weighted average index(WAI)and problem confrontation index(PCI)were used to rank smallholder farmers’perceived enablers to the adoption of climate-smart agricultural practices and the barriers affecting climate-smart agricultural practices,respectively.Results suggest that the majority of the respondents used a suite of climate-smart agricultural practices,including the timely harvesting of produce and storage,emergency seed banking,appropriate and timely weed and pest control,and early planting as practices to build climate resilience.The majority of smallholder farmers primarily employed climate-smart agricultural practices to improve household food security(96.2%),reduce pests and diseases(95.6%),and obtain higher yields and greater farm income(93.2%).Findings also show that secured land tenure system arrangement,understanding the effects of climate change,and access to sustainable agricultural technologies were ranked the first,second,and third most important enablers to the adoption of climate-smart agricultural practices with the WAI values of 2.86,2.75,and 2.70,respectively.Key barriers to the successful adoption of climate-smart agricultural practices included incidences of pests and diseases(PCI=2530),inadequate access to agricultural credit(PCI=2502),high cost of improved crop varieties(PCI=2334),and limited government support with farm inputs(PCI=2296).Smallholder farmers need to be better supported through the provision of appropriate institutional and policy arrangements together with improved land management extension advice to overcome these barriers and facilitate the more effective implementation of climate-smart agricultural practices in Ghana.
基金Supported by Key Scientific Research Project of Hubei Department of Water Resources in 2017(HBSLKY201719).
文摘The Dajiu Lake is an important subtropical alpine wetland in central China.In May of 2019,an ecological investigation was conducted on water quality and aquatic organisms(phytoplankton,zooplankton and zoobenthos)of the Dajiu Lake in Shennongjia forest region.The results showed that parameters of water quality in No.5 and No.9 sub lakes of the Dajiu Lake corresponded with standard of class II water of the Environmental Quality Standards for Surface Water(GB 3838-2002),while other sub lakes corresponded with standard of class III water.Diversity indexes of phytoplankton and zooplankton ranged from 2.0 to 3.0,and there were two families(Chironomidae and Libellulidae Rambur)of one phylum(Arthropoda)in zoobenthos.Comprehensive health index of entropy weight was used to evaluate water ecological status of the Dajiu Lake,and water quality of No.5,No.8 and No.9 sub lakes was in a healthy status,while other sub lakes were in sub-health status.Finally,corresponding countermeasures were proposed according to protection needs of the Dajiu Lake.
文摘Human capital,as a synthesis of wisdom and physical fitness condensed in workers,is sometimes confused with technological innovation by existing literature.This paper makes comparisons between these two terminologies.Technological innovation is a short-term activity that attaches importance to economic benefits while human capital accumulation is a long-term strategic process with lifelong benefits,and human capital is the foundation of technological innovation.In empirical part,this paper adopts Solow Residual Method to calculate stock,elasticity and growth rate of human capital of 10 countries after eliminating physical capital,labor force and technological innovation.It is found that human capital stock in the United States is the largest and human capital growth in China is the fastest.Calculation is followed by measurement.We construct a comprehensive index of human capital by using Index Weight Assignment Method and Two-level&Three-factor CES Function to measure and predict human capital level in China.Both calculating and measuring results show that growth rate of China’s human capital is around 5%.In the future,for high-quality economic development,China should give priority to human capital development and comprehensively improve human capital competitiveness.
文摘Space is a high-tech field integrating materials, electronic information, manufacture, energy, medicine ana other disciplines. A number of disruptive technologies in various fields will have an important influence in areas such as space industry, scientific research on space and even military space. This article focuses on disruptive technologies exerting enormous influence in the space field based on the qualitative and quantitative research of disruptive technolo- gies. The research and application for disruptive space technology is expected to greatly improve the emciency of space system, significantly reducing research cost, and to promote a great improvement of space technology level,
基金supported by National Natural Science Foundation of China under Grant No.71172123Aviation Science Fund under Grant No.2012ZG53083+1 种基金Soft Science Foundation of Shaanxi Province under Grant No.2012KRM85the Funds of NPU for Humanities & Social Sciences and Management Revitalization under Grant No.RW201105
文摘To improve the enterprise resource utilization and shorten the cycle of the whole project portfolio, a scheduling model based on Design Structure Matrix （DSM） is built. By setting the project activity weight index system and calculating the activity weight for the project portfolio, the constraint relationship between project portfolio information and resource utilization, as the two dimensions of the DSM, are fully reflected in the sched- ule model to determine the order of these activities of project portfolio. A project portfolio example is given to il- lustrate the applicability and effectiveness of the schedule model.
基金supported by the National Science Foundation-Hydrologic Science Program。
文摘In regions with unpredictable rainfall and limited water supply,it’s crucial to pinpoint areas with high potential for groundwater and find the best spots for groundwater resource development.This study utilizes the Analytic Hierarchy Process(AHP)in combination with Geographic Information Systems(GIS)to evaluate the potential groundwater zones in the Gombora watershed within the Omo Gibe basin in Ethiopia.Combining these two tools provided a detailed map showing potential groundwater areas.These zones are determined based on various thematic maps containing information about geology,soil texture,lineament density,slope,land use,and drainage density.The AHP method combines these data layers by assigning weights to each layer based on its importance for groundwater recharge.These weighted layers are then overlaid using a GIS platform to produce a conclusive map of potential groundwater areas.The groundwater potential within the watershed was qualitatively divided into five categories with area coverages of very good(1.6%),good(7.4%),moderate(21.4%),poor(51.6%),and very poor(17.9%)of thewatershed area.The accuracy of the groundwater potential zones was evaluated using the receiver operating characteristic(ROC)curve and the area under the curve(AUC),producing good results(AUC=75.5%).This research has shown that integrating AHP with GIS can effectively pinpoint potential groundwater zones.Additionally,the findings could play a key role in determining suitable locations for new groundwater wells and supplying valuable insights to decision-makers to aid in planning and implementing sustainable strategies for managing groundwater resources in the watershed.
文摘Artificial fishponds play a pivotal role in global aquaculture, serving as a source of livelihood and nourishment for many communities. Ensuring the sustained health and productivity of Fishes in these environments relies heavily on water quality management. This assessment was done to determine the water quality of ten artificial fishponds in the south-eastern part of Sierra Leone using twelve physicochemical factors (pH, BOD, EC, TDS, turbidity, COD, Fe<sup>2+</sup>, Mg<sup>2+</sup>, Ca<sup>2+</sup>, NH<sub>3</sub>, , and alkalinity) to find out the Water Quality Index (WQI) and spatial distribution of respective parameters. The assessment of artificial fishponds using WQI and Inverse Distant Weighting (IDW) integration represents a relatively underexplored area within the domain of environmental water resources. The WQI was determined using the “Weighted Arithmetic Water Quality Index’’ method. The results of WQI in the study area range from 65.05 to 147.26. Several locations have water quality deemed unsuitable for consumption, while others range from good to very poor. It is essential to address and improve water quality in locations categorized as unsuitable for consumption and very poor to ensure safe and healthy water sources. It was also clear from the calculation that the smaller the mean concentration value of the pH as compared to the ideal value (7), the smaller the WQI value and the better the water quality. To keep the artificial fishpond water in good condition, mass domestic use should be controlled, and draining of surrounding organic matter should be stopped in ponds Bo_001, Kenema_001, and Kenema_002.
文摘Expansive soils present a significant geohazard to light infrastructure world-wide,causing costly damage through swelling and shrinkage cycles driven by moisture content changes.One key property controlling this behavior,the Cation Exchange Capacity(CEC),is complex and expensive to measure directly,making it necessary to find reliable and affordable proxies for initial site assessments.This study introduces and validates a novel parameter,the weighted plasticity index(wPI),for classifying the swelling potential of expansive clays.Twenty-six soil samples,representing a range from low to high plasticity clays from Trinidad,underwent standard geotechnical laboratory tests,including Atterberg limits and grain size analysis.The wPI was calculated for each sample as the product of its Plasticity Index(PI)and the percentage of fine particles(percent passing the 425-μm sieve).A strong linear relationship(R^(2)=0.94)was found between the wPI and the Liquid Limit(LL).Using a previously established relationship between LL and CEC,a robust mathematical model connecting wPI directly to CEC was derived.This model formed the basis for a new four-tiered swelling potential classification system(Low,Medium,High,and Very High)based on the calculated wPI values.The wPI method provides a reliable,quick,and cost-effective tool for geotechnical engineers to evaluate swelling potential,promoting the design of more resilient and sustainable infrastructure in areas prone to expansive soils.
文摘Background Comorbidity is one of the most important determinants ot short-term and long-term outcomes in septic patients. Charlson＇s weighted index of comorbidities （WIC） and the chronic health score （CHS）, which is a component of the acute physiology and chronic health evaluation （APACHE） II, are two frequently-used measures of comorbidity. In this study, we assess the performance of WIC and CHS in predicting the hospital mortality of intensive care unit （ICU） patients with sepsis. Methods A total of 338 adult patients with sepsis were admitted to a multisystem ICU between October 2010 and August 2012. Clinical data were collected, including age, gender, underlying diseases, key predisposing causes, severity-of- sepsis, and hospital mortality. The APACHE II, CHS, acute physiology score （APS）, sequential organ failure assessment （SOFA） and WIC scores were assessed within the first 24 hours of admission. Univariate and multiple Logistic regression analyses were used to compare the performance of WlC and CHS. The area under the receiver operating characteristic curve （AUC） was used to predict hospital mortality over classes of risk. Results Of all the enrolled patients, 224 patients survived and 114 patients died. The surviving patients had significantly lower WlC, CHS, APACHE II, and SOFA scores than the non-surviving patients （P 〈0.05）. Combining WIC or CHS with other administrative data showed that the hospital mortality was significantly associated with age, severe sepsis, key predisposing causes such as pneumonia, a history of underlying diseases such as hypertension and congestive cardiac failure, and WlC, CHS and APS scores （P 〈0.05）. The AUC for the hospital mortality were 0.564 （95% confidence interval （CO 0.496-0.631） of CHS, 0.663 （95% CI 0.599-0.727） of WIC, 0.770 （95% CI 0.718-0.822） of APACHE II, 0.856 （95% Cl 0.815-0.897） of the CHS combined with other administrative data, and 0.857 （95% CI 0.817-0.897） of the WlC combined with other administrative data. The diagnostic value of WIC was better than that of CHS （P=0.0015）. Conclusions The WlC and CHS scores might be independent determinants for hospital mortality among ICU patients with sepsis. WlC might be an even better predictor of the mortality of septic patients with comorbidities than CHS. Chin Med J 2014;127 （14）： 2623-2627
