To evaluate urban human settlement, we propose a human settlement environment development index(HSEDI) model by choosing vegetation coverage, land surface temperature, impervious surfaces, slope, wetness, and water co...To evaluate urban human settlement, we propose a human settlement environment development index(HSEDI) model by choosing vegetation coverage, land surface temperature, impervious surfaces, slope, wetness, and water condition as the evaluation factors. We applied the proposed model to Xuzhou City, Jiangsu Province, China. Landsat-5 Thematic Mapper(TM) images from 1998 to 2010 and digital elevation model(DEM) data with a 30-m resolution were used to calculate the values of the six evaluation factors. The HSEDI value in Xuzhou City was found to be between 2.24 and 8.10 from 1998 to 2010, and it was further divided into five levels, uninhabitable, moderately uninhabitable, generally inhabitable, moderately inhabitable, and inhabitable. The best HSEDI value was in 2007. The generally inhabitable region was about 100.98 km^2, covering 30.87% of the total area in 2007; the moderately inhabitable region was about 170.58 km2 covering 52.15% of the total area; the inhabitable region was about 32.03 km^2, covering 9.79% of the total area; the percentage of the uninhabitable region was zero; and that of the moderately uninhabitable region was very small, less than 1.00%. Moreover, we analyzed the habitability in the respect of spatial patterns and change detection. Results show that the degraded regions of habitability quality are mainly located in the urban fringe and the improved regions are mainly located in the main urban and rural areas. Reason for the degraded habitability quality is the rapid progress of urbanization. However, the increase in urban green spaces and the construction of the main urban area promoted the improved habitability quality. Besides, we further analyzed socio-economic and socio-demographic data to confirm the results of the habitability analysis. The results indicate that the human settlement in Xuzhou City is in a satisfactory condition, but some efforts should be made to control the possible uninhabitable and moderately uninhabitable regions, and to improve the quality of the generally inhabitable regions.展开更多
Background： Increased ambient temperature has been implicated in increased physical aggression, which has important practical consequences. The present study investigates this established relationship between aggress...Background： Increased ambient temperature has been implicated in increased physical aggression, which has important practical consequences. The present study investigates this established relationship between aggressive behavior and ambient temperature in the highly aggressive context of professional football in the National Football League （NFL）. Methods： Using a publicly available dataset, authors conducted multiple hierarchical regression analyses on game-level data （2326 games）. Results： The analysis revealed that temperature positively predicted aggressive penalties in football, and that this relationship was significant for teams playing at home but not for visiting teams. Conclusion： These results indicate that even in the aggressive context of football, warmer weather contributes to increased violence. Further, the presence of the heat-aggression relationship for the home team suggests that the characteristics of interacting groups may influence whether heat would have an adverse effect on the outcome of those interactions.展开更多
This paper analyzes the distribution patterns and spatial dynamic transitions of foreign direct investment （FDI） and pollution from 2000 to 2009 in China＇s provinces by using the comprehensive pollution index （CEP...This paper analyzes the distribution patterns and spatial dynamic transitions of foreign direct investment （FDI） and pollution from 2000 to 2009 in China＇s provinces by using the comprehensive pollution index （CEPI） and exploratory spatial data analysis. Findings suggest that FDI as well as environmental pollution in our provinces exists an obvious spatial autocorrelation, both of them have remarkable characteristics of path dependence and form different accumulation areas. Currently, the accumulations of highlevel FDI correspond to low-level environmental pollution, while the accumulations of low-level FDI are associated with high-level environmental pollution. Furthermore, the authors have empirically analyzed the impact of FDI on China＇s environmental pollution by spatial error model （SEM） and spatial lag model （SLM） respeetively. Findings suggest that the geographical clustering of FDI has a positive impact on China＇s environment, in general, ＂Pollution Haven Hypothesis＂ is invalid in China. In addition, there are remarkable differences in the impact of FDI on environmental pollution due to different sources, the foreign capital from offshore financial centers has significantly alleviated pollution in China while that from developed countries in East Asia and the West has played an insignificant role in environmental pollution.展开更多
In order to fulfil the microgravity requirements for space experiments, improved technology for the microgravity environment is proposed, including that for raising the orbital altitude, optimizing the layout of the d...In order to fulfil the microgravity requirements for space experiments, improved technology for the microgravity environment is proposed, including that for raising the orbital altitude, optimizing the layout of the disturbance source, using IN-thrusters instead of 5 N-thrusters, etc. In addition, evaluation of the microgravity environment of the recoverable satellite was also conducted using on-orbit micro-vibration measurement, on-orbit experiment and data analysis technologies. The microgravity level of the SJ-l0 recoverable satellite in China is compared with the spacecraft used for carrying out space science experiments internationally. This paper describes the microgravity environment of the SJ- 10 recoverable satellite, and its importance for analysing space experimental results.展开更多
In order to improve the English teachers＇ education ability evaluation accuracy, promote the upgrading of the level of English teacher education, the evaluation model of English teacher education ability is proposed ...In order to improve the English teachers＇ education ability evaluation accuracy, promote the upgrading of the level of English teacher education, the evaluation model of English teacher education ability is proposed in MOOC environment. Data fusion model of English teacher education ability evaluation index is obtained based on big data analysis method, data clustering analysis of English teaching evaluation indicators is carried out, Characteristic data of English Teaching are extracted, and combining fuzzy C means algorithm to analyze the characteristics of English teachers＇ educational ability in MOOC environment, adaptive mining evaluation of English teachers＇ educational ability is realized. Then we develop and design the evaluation system of English teacher education ability under the MOOC environment. The empirical data analysis is taken, and results show that it has good accuracy by using this method for evaluation of English teacher＇s ability, it improves the comprehensive evaluation level of English teachers.展开更多
Using directional distance function and nonparametric data envelopment analys＆, th＆ paper estimates the environmental total factor productivity （ETFP） of energy-intensive industries in China from 1995 to 2010, and...Using directional distance function and nonparametric data envelopment analys＆, th＆ paper estimates the environmental total factor productivity （ETFP） of energy-intensive industries in China from 1995 to 2010, and performs an empirical analysis on factors affecting ETFP growth after studying the differences of energy-intensive industries ＇ ETFP by industries and provinces. The findings include the following： energy-intensive industries ＇ETFP growth is mainly driven by technical progress; China, at its current development stage, still has the potential to raise the productivity of its energy- intensive industries. By estimating the provincial data, we find that the ETFP growth of different provinces converge at different levels. Further market liberalization, increased FDl flows and reductions in energy intensity will help to improve each province＇s ETFP growth. In addition, increasing investment in energy saving and emissions reduction and improving corporate environmental management capacity can help to reduce a company＇s short-term cost of complying with environmental regulations.展开更多
This paper investigates the regional distribution and pollution of energyintensive industries in China. Through the analysis of provincial panel data collected during 1998-2008, this work estimates the drivers of poll...This paper investigates the regional distribution and pollution of energyintensive industries in China. Through the analysis of provincial panel data collected during 1998-2008, this work estimates the drivers of pollution in 30 of China＇s provincial-level divisions. The paper concludes that while China＇s energy-intensive industries are heavily distributed in eastern and central China, the speed of development toward central and western China has, in recent years, risen continuously. Industries located in eastern China do, however, remain the primary polluters in the country. Notably, regional agglomeration of energy-intensive industries plays a positive role in energy conservation and pollution control in China. This paper also finds that patterns of pollution in China follow the environmental Kuznets curve （EKC） with strong inter-provincial discrepancies.展开更多
The increase in climate change raises the awareness of societal stakeholders to act as key-drivers in motivating and pushing corporations to monitor their sustainability data transparency, analyse their operations per...The increase in climate change raises the awareness of societal stakeholders to act as key-drivers in motivating and pushing corporations to monitor their sustainability data transparency, analyse their operations performance, and improve their operations related to environment, social governance, and corporate social responsibility. This paper evaluates the current importance of the societal stakeholders that impact the compliance of companies towards these environmental, social and governance practices in their supply chain operations. The latest review on the sustainability reporting and its data analytics are carried out, followed by a review of the development of a sustainability reporting and data analytics model, including sustainability software and online platforms in facilitating and supporting supply chain practitioners in their decision-making process. The model has been further developed as a dashboard and applied to a maritime supply chain firm. A case analysis has been conducted to illustrate the importance of analytics data in supporting complex decision-making process. Additional intelligent data analytics functionalities are recommended as future development for the sustainability reporting and data analytics dashboard in supply chain operations.展开更多
To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for de...To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for defining the validation points and validation metrics for measuring the agreements between human experts and intelligent models were presented. Further,such methods as graphical comparison,feature analysis and face validation were discussed according to the characteristics of intelligent models. Based on the validation criteria,validation metrics and validation methods,the intelligent models can be effectively validated,which has been proved in current developed intelligent models.展开更多
基金Under the auspices of National Natural Science Foundation of China(No.41471356)Fundamental Research Funds for the Central Universities(No.2014ZDPY14)Priority Academic Program Development of Jiangsu Higher Education Institutions(No.SZBF2011-6-B35)
文摘To evaluate urban human settlement, we propose a human settlement environment development index(HSEDI) model by choosing vegetation coverage, land surface temperature, impervious surfaces, slope, wetness, and water condition as the evaluation factors. We applied the proposed model to Xuzhou City, Jiangsu Province, China. Landsat-5 Thematic Mapper(TM) images from 1998 to 2010 and digital elevation model(DEM) data with a 30-m resolution were used to calculate the values of the six evaluation factors. The HSEDI value in Xuzhou City was found to be between 2.24 and 8.10 from 1998 to 2010, and it was further divided into five levels, uninhabitable, moderately uninhabitable, generally inhabitable, moderately inhabitable, and inhabitable. The best HSEDI value was in 2007. The generally inhabitable region was about 100.98 km^2, covering 30.87% of the total area in 2007; the moderately inhabitable region was about 170.58 km2 covering 52.15% of the total area; the inhabitable region was about 32.03 km^2, covering 9.79% of the total area; the percentage of the uninhabitable region was zero; and that of the moderately uninhabitable region was very small, less than 1.00%. Moreover, we analyzed the habitability in the respect of spatial patterns and change detection. Results show that the degraded regions of habitability quality are mainly located in the urban fringe and the improved regions are mainly located in the main urban and rural areas. Reason for the degraded habitability quality is the rapid progress of urbanization. However, the increase in urban green spaces and the construction of the main urban area promoted the improved habitability quality. Besides, we further analyzed socio-economic and socio-demographic data to confirm the results of the habitability analysis. The results indicate that the human settlement in Xuzhou City is in a satisfactory condition, but some efforts should be made to control the possible uninhabitable and moderately uninhabitable regions, and to improve the quality of the generally inhabitable regions.
文摘Background： Increased ambient temperature has been implicated in increased physical aggression, which has important practical consequences. The present study investigates this established relationship between aggressive behavior and ambient temperature in the highly aggressive context of professional football in the National Football League （NFL）. Methods： Using a publicly available dataset, authors conducted multiple hierarchical regression analyses on game-level data （2326 games）. Results： The analysis revealed that temperature positively predicted aggressive penalties in football, and that this relationship was significant for teams playing at home but not for visiting teams. Conclusion： These results indicate that even in the aggressive context of football, warmer weather contributes to increased violence. Further, the presence of the heat-aggression relationship for the home team suggests that the characteristics of interacting groups may influence whether heat would have an adverse effect on the outcome of those interactions.
文摘This paper analyzes the distribution patterns and spatial dynamic transitions of foreign direct investment （FDI） and pollution from 2000 to 2009 in China＇s provinces by using the comprehensive pollution index （CEPI） and exploratory spatial data analysis. Findings suggest that FDI as well as environmental pollution in our provinces exists an obvious spatial autocorrelation, both of them have remarkable characteristics of path dependence and form different accumulation areas. Currently, the accumulations of highlevel FDI correspond to low-level environmental pollution, while the accumulations of low-level FDI are associated with high-level environmental pollution. Furthermore, the authors have empirically analyzed the impact of FDI on China＇s environmental pollution by spatial error model （SEM） and spatial lag model （SLM） respeetively. Findings suggest that the geographical clustering of FDI has a positive impact on China＇s environment, in general, ＂Pollution Haven Hypothesis＂ is invalid in China. In addition, there are remarkable differences in the impact of FDI on environmental pollution due to different sources, the foreign capital from offshore financial centers has significantly alleviated pollution in China while that from developed countries in East Asia and the West has played an insignificant role in environmental pollution.
文摘In order to fulfil the microgravity requirements for space experiments, improved technology for the microgravity environment is proposed, including that for raising the orbital altitude, optimizing the layout of the disturbance source, using IN-thrusters instead of 5 N-thrusters, etc. In addition, evaluation of the microgravity environment of the recoverable satellite was also conducted using on-orbit micro-vibration measurement, on-orbit experiment and data analysis technologies. The microgravity level of the SJ-l0 recoverable satellite in China is compared with the spacecraft used for carrying out space science experiments internationally. This paper describes the microgravity environment of the SJ- 10 recoverable satellite, and its importance for analysing space experimental results.
文摘In order to improve the English teachers＇ education ability evaluation accuracy, promote the upgrading of the level of English teacher education, the evaluation model of English teacher education ability is proposed in MOOC environment. Data fusion model of English teacher education ability evaluation index is obtained based on big data analysis method, data clustering analysis of English teaching evaluation indicators is carried out, Characteristic data of English Teaching are extracted, and combining fuzzy C means algorithm to analyze the characteristics of English teachers＇ educational ability in MOOC environment, adaptive mining evaluation of English teachers＇ educational ability is realized. Then we develop and design the evaluation system of English teacher education ability under the MOOC environment. The empirical data analysis is taken, and results show that it has good accuracy by using this method for evaluation of English teacher＇s ability, it improves the comprehensive evaluation level of English teachers.
文摘Using directional distance function and nonparametric data envelopment analys＆, th＆ paper estimates the environmental total factor productivity （ETFP） of energy-intensive industries in China from 1995 to 2010, and performs an empirical analysis on factors affecting ETFP growth after studying the differences of energy-intensive industries ＇ ETFP by industries and provinces. The findings include the following： energy-intensive industries ＇ETFP growth is mainly driven by technical progress; China, at its current development stage, still has the potential to raise the productivity of its energy- intensive industries. By estimating the provincial data, we find that the ETFP growth of different provinces converge at different levels. Further market liberalization, increased FDl flows and reductions in energy intensity will help to improve each province＇s ETFP growth. In addition, increasing investment in energy saving and emissions reduction and improving corporate environmental management capacity can help to reduce a company＇s short-term cost of complying with environmental regulations.
基金This paper was made possible by grants from the Modern Business Research Center of Zhejiang Gongshang University, Zhejiang Provincial Natural Science Foundation.
文摘This paper investigates the regional distribution and pollution of energyintensive industries in China. Through the analysis of provincial panel data collected during 1998-2008, this work estimates the drivers of pollution in 30 of China＇s provincial-level divisions. The paper concludes that while China＇s energy-intensive industries are heavily distributed in eastern and central China, the speed of development toward central and western China has, in recent years, risen continuously. Industries located in eastern China do, however, remain the primary polluters in the country. Notably, regional agglomeration of energy-intensive industries plays a positive role in energy conservation and pollution control in China. This paper also finds that patterns of pollution in China follow the environmental Kuznets curve （EKC） with strong inter-provincial discrepancies.
文摘The increase in climate change raises the awareness of societal stakeholders to act as key-drivers in motivating and pushing corporations to monitor their sustainability data transparency, analyse their operations performance, and improve their operations related to environment, social governance, and corporate social responsibility. This paper evaluates the current importance of the societal stakeholders that impact the compliance of companies towards these environmental, social and governance practices in their supply chain operations. The latest review on the sustainability reporting and its data analytics are carried out, followed by a review of the development of a sustainability reporting and data analytics model, including sustainability software and online platforms in facilitating and supporting supply chain practitioners in their decision-making process. The model has been further developed as a dashboard and applied to a maritime supply chain firm. A case analysis has been conducted to illustrate the importance of analytics data in supporting complex decision-making process. Additional intelligent data analytics functionalities are recommended as future development for the sustainability reporting and data analytics dashboard in supply chain operations.
基金Sponsored by the National Natural Science Foundation of China(Grant No. 60434010)the Foundation of the Outstanding Youth of Heilongjiang Province ( Grant No. JC200606)
文摘To provide a realistic simulation environment for users,intelligent models have become key components in military simulations. After the analysis of modeling nature of intelligent models,the validation criteria for defining the validation points and validation metrics for measuring the agreements between human experts and intelligent models were presented. Further,such methods as graphical comparison,feature analysis and face validation were discussed according to the characteristics of intelligent models. Based on the validation criteria,validation metrics and validation methods,the intelligent models can be effectively validated,which has been proved in current developed intelligent models.
