It makes an empirical study of college students＇ employment ability and influence factor situation. Based on the questionnaire of 388 graduates of different subjects, through the explorative Ihctors and confirmatory ...It makes an empirical study of college students＇ employment ability and influence factor situation. Based on the questionnaire of 388 graduates of different subjects, through the explorative Ihctors and confirmatory factor analysis, it finds that the college students＇ employment ability influence factor model includes employment quality and employment expectation of 13 factors, and the model fitting is better. The employment ability influence factor model of college students is good for university education, enterprise recruitment strategy adjustment and students＇ self development.展开更多
Through building an indicator system for evaluating the marine sci-tech innovation ability of China's coastal provinces,this paper made a comparative analysis on marine sci-tech innovation ability of 11 coastal pr...Through building an indicator system for evaluating the marine sci-tech innovation ability of China's coastal provinces,this paper made a comparative analysis on marine sci-tech innovation ability of 11 coastal provinces in 2011-2013 by the principal components analysis( PCA) method. It found these coastal regions can be divided into three levels. Guangdong Province belongs to the first level because its marine sci-tech innovation ability is relatively high. On this basis,it analyzed changes in marine sci-tech innovation ability of 11 coastal provinces with the aid of DEA's Malmquist productivity index model. Results indicate that the overall marine sci-tech innovation ability of 11 coastal provinces is rising,but there is significant difference between provinces and the influence of regional economic development level is not considerable.Technical progress is main driver for promoting marine sci-tech innovation ability of Guangdong Province and major factor influencing ranking of total factor productivity.展开更多
Anthropogenic activities profoundly influence carbon sequestration in the Eurasian Steppe. In particular, grazing has been identified as having a major effect on carbon sequestration. However, the extent to which graz...Anthropogenic activities profoundly influence carbon sequestration in the Eurasian Steppe. In particular, grazing has been identified as having a major effect on carbon sequestration. However, the extent to which grazing affects regional patterns or carbon sequestration is unknown. In this study, we evaluated the impact of regional grazing on grassland carbon seques- tration using the Boreal Ecosystem Productivity Simulator （BEPS） and the Shiyomi grazing model. Model performances were validated against the results from field measurements and eddy covariance （EC） sites. Model outputs showed that in 2008, the regional net primary productivity （NPP） was 79.5 g C m-2, and the net ecosystem productivity （NEP） was -6.5 g C m-2, characterizing the region as a Weak carbon source. The Mongol Steppe （MS） was identified as a carbon sink, whereas the Kazakh Steppe （KS） was either carbon neutral or a weak carbon source. The spatial patterns of grazing density are divergent between the MS and the KS. in the MS, livestock was mainly distributed in China with relatively good management, while in the KS livestock was mainly concentrated in the southern countries （especially Uzbekistan and Turkmenistan） with harsh environments and poor management. The consumption percentages of NPP in Turkmenistan, Tajikistan and Uzbekistan were 5.3, 3.3 and 1.2%, respectively, whereas the percentages in other countries were lower than 1%. Correspondingly, grazing consumption contributed to the carbon sources of Turkmenistan, Tajikistan and Uzbekistan by 11.6, 6.3 and 4.3%, respectively, while it weakened the carbon sink in Inner Mongolia, China and Mongolia by 1.6 and 0.5%. This regional pattern should be affected by different sub-regional characteristics, e.g., the continuous degradation of grassland in the southern part of the KS and the restoration of grassland in Inner Mongolia, China.展开更多
Objective:To construct a scientific and feasible teaching mode based on 5C caring theory and evaluate it,so as to provide a reference basis for future study about nursing humanistic quality education.Methods:Based on ...Objective:To construct a scientific and feasible teaching mode based on 5C caring theory and evaluate it,so as to provide a reference basis for future study about nursing humanistic quality education.Methods:Based on the 5C caring theory,the teaching design and teaching content were revising and implementing in the intervention group.Before and after the implementation of the course,a questionnaire survey was conducted using the Caring Ability Inventory(CAI).The results of the surveys were collected,and the data were statistically analysis using SPSS.Results:After the implementation of the course,the cognitive dimension,patience dimension,and humanistic caring ability scores of the nursing students in the intervention group improved compared with those before the implementation of the course(P<0.05).There were no significant difference in the control group(P>0.05).Conclusion:The humanistic caring teaching model based on 5C caring theory has a positive effect on improving nursing students'humanistic caring ability.In the future nursing teaching,the modules with the characteristics of humanistic caring ability can be increased,and carry out the educational reform throughout the humanistic caring ability.Actively guiding nursing students to establish the awareness of humanistic caring,so as to lay a solid foundation for high-quality clinical nursing work.展开更多
文摘It makes an empirical study of college students＇ employment ability and influence factor situation. Based on the questionnaire of 388 graduates of different subjects, through the explorative Ihctors and confirmatory factor analysis, it finds that the college students＇ employment ability influence factor model includes employment quality and employment expectation of 13 factors, and the model fitting is better. The employment ability influence factor model of college students is good for university education, enterprise recruitment strategy adjustment and students＇ self development.
基金Supported by Philosophy and Social Science Twelfth Five-Year Plan Project of Guangdong Province(GD13CYJ14)Humanity and Social Science Project of Colleges and Universities in Guangdong Province(2013WYXM0054)+1 种基金Project of Enhancing School with Innovation of Guangdong Ocean University(GDOU2013050249 and GDOU2013050252)Special Fund for Cultivation of Sci-tech Innovation of Undergraduates in Guangdong Province(Special Fund for Provincial Climbing Program:pdjh2016b0233)
文摘Through building an indicator system for evaluating the marine sci-tech innovation ability of China's coastal provinces,this paper made a comparative analysis on marine sci-tech innovation ability of 11 coastal provinces in 2011-2013 by the principal components analysis( PCA) method. It found these coastal regions can be divided into three levels. Guangdong Province belongs to the first level because its marine sci-tech innovation ability is relatively high. On this basis,it analyzed changes in marine sci-tech innovation ability of 11 coastal provinces with the aid of DEA's Malmquist productivity index model. Results indicate that the overall marine sci-tech innovation ability of 11 coastal provinces is rising,but there is significant difference between provinces and the influence of regional economic development level is not considerable.Technical progress is main driver for promoting marine sci-tech innovation ability of Guangdong Province and major factor influencing ranking of total factor productivity.
基金supported by the National Key Research and Development Program of China (2016YFC0500202)the Natural Science Foundation of Jiangsu Province,China (BK20140413)+1 种基金the Asia-Pacific Network (APN) Global Change Fund Project (ARCP2013-16NMY-Li)the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions,China
文摘Anthropogenic activities profoundly influence carbon sequestration in the Eurasian Steppe. In particular, grazing has been identified as having a major effect on carbon sequestration. However, the extent to which grazing affects regional patterns or carbon sequestration is unknown. In this study, we evaluated the impact of regional grazing on grassland carbon seques- tration using the Boreal Ecosystem Productivity Simulator （BEPS） and the Shiyomi grazing model. Model performances were validated against the results from field measurements and eddy covariance （EC） sites. Model outputs showed that in 2008, the regional net primary productivity （NPP） was 79.5 g C m-2, and the net ecosystem productivity （NEP） was -6.5 g C m-2, characterizing the region as a Weak carbon source. The Mongol Steppe （MS） was identified as a carbon sink, whereas the Kazakh Steppe （KS） was either carbon neutral or a weak carbon source. The spatial patterns of grazing density are divergent between the MS and the KS. in the MS, livestock was mainly distributed in China with relatively good management, while in the KS livestock was mainly concentrated in the southern countries （especially Uzbekistan and Turkmenistan） with harsh environments and poor management. The consumption percentages of NPP in Turkmenistan, Tajikistan and Uzbekistan were 5.3, 3.3 and 1.2%, respectively, whereas the percentages in other countries were lower than 1%. Correspondingly, grazing consumption contributed to the carbon sources of Turkmenistan, Tajikistan and Uzbekistan by 11.6, 6.3 and 4.3%, respectively, while it weakened the carbon sink in Inner Mongolia, China and Mongolia by 1.6 and 0.5%. This regional pattern should be affected by different sub-regional characteristics, e.g., the continuous degradation of grassland in the southern part of the KS and the restoration of grassland in Inner Mongolia, China.
基金supported by the Research Program on Educational Teaching Reform of Tianjin University of Traditional Chinese Medicine(2020JY041)。
文摘Objective:To construct a scientific and feasible teaching mode based on 5C caring theory and evaluate it,so as to provide a reference basis for future study about nursing humanistic quality education.Methods:Based on the 5C caring theory,the teaching design and teaching content were revising and implementing in the intervention group.Before and after the implementation of the course,a questionnaire survey was conducted using the Caring Ability Inventory(CAI).The results of the surveys were collected,and the data were statistically analysis using SPSS.Results:After the implementation of the course,the cognitive dimension,patience dimension,and humanistic caring ability scores of the nursing students in the intervention group improved compared with those before the implementation of the course(P<0.05).There were no significant difference in the control group(P>0.05).Conclusion:The humanistic caring teaching model based on 5C caring theory has a positive effect on improving nursing students'humanistic caring ability.In the future nursing teaching,the modules with the characteristics of humanistic caring ability can be increased,and carry out the educational reform throughout the humanistic caring ability.Actively guiding nursing students to establish the awareness of humanistic caring,so as to lay a solid foundation for high-quality clinical nursing work.
