As a measure for higher engineering education in the new era to deal with a new round of scientific and technological revolution and industrial reform,China,s new engineering construction is an important strategic dep...As a measure for higher engineering education in the new era to deal with a new round of scientific and technological revolution and industrial reform,China,s new engineering construction is an important strategic deployment to cultivate diversified and innovative engineering talents.In order to promote the new engineering construction in an all-rounded wa%talent training is the key.Compared with traditional engineering talents,new engineering talents need to have richer values and normative knowledge,especially public policy qualities,which is the ability that new engineering talents should have in this complex and changeable environment.The EPP(Engineering and Public Policy)professional training model at Carnegie Mellon University provides useful practical experience for the cultivation of public policy qualities of new engineering talents.展开更多
研究发现,许多人在叫亲近之人的名字时会感到尴尬甚至焦虑,这种现象被称为“名字恐惧症”,它揭示了名字在人际关系中的微妙作用。1 The positive role of names has long been recognized.Dale Carnegie,a renowned self⁃help expert,em...研究发现,许多人在叫亲近之人的名字时会感到尴尬甚至焦虑,这种现象被称为“名字恐惧症”,它揭示了名字在人际关系中的微妙作用。1 The positive role of names has long been recognized.Dale Carnegie,a renowned self⁃help expert,emphasized in his book How to Win Friends and Influence People that saying someone's name is like a magical key to success in various aspects of life.Franklin D.Roosevelt's campaign manager addressing voters by their names,and Andrew Carnegie naming companies after competitors and potential buyers are examples of how names can play a crucial role.It's not just in politics and business either.展开更多
Net primary productivity (NPP) of the vegetation in an oasis can reflect the productivity capacity of a plant community under natural environmental conditions. Owing to the extreme arid climate conditions and scarce p...Net primary productivity (NPP) of the vegetation in an oasis can reflect the productivity capacity of a plant community under natural environmental conditions. Owing to the extreme arid climate conditions and scarce precipitation in the arid oasis regions, groundwater plays a key role in restricting the development of the vegetation. The Qira Oasis is located on the southern margin of the Taklimakan Desert (Tarim Basin, China) that is one of the most vulnerable regions regarding vegetation growth and water scarcity in the world. Based on remote sensing images of the Qira Oasis and daily meteorological data measured by the ground stations during the period 2006-2019, this study analyzed the temporal and spatial patterns of NPP in the oasis as well as its relation with the variation of groundwater depth using a modified Carnegie Ames Stanford Approach (CASA) model. At the spatial scale, NPP of the vegetation decreased from the interior of the Qira Oasis to the margin;at the temporal scale, NPP of the vegetation in the oasis fluctuated significantly (ranging from 29.80 to 50.07 g C/(m2•month)) but generally showed an increasing trend, with the average increase rate of 0.07 g C/(m2•month). The regions with decreasing NPP occupied 64% of the total area of the oasis. During the study period, NPP of both farmland and grassland showed an increasing trend, while that of forest showed a decreasing trend. The depth of groundwater was deep in the south of the oasis and shallow in the north, showing a gradual increasing trend from south to north. Groundwater, as one of the key factors in the surface change and evolution of the arid oasis, determines the succession direction of the vegetation in the Qira Oasis. With the increase of groundwater depth, grassland coverage and vegetation NPP decreased. During the period 2008-2015, with the recovery of groundwater level, NPP values of all types of vegetation with different coverages increased. This study will provide a scientific basis for the rational utilization and sustainable management of groundwater resources in the oasis.展开更多
An improved Carnegie Ames Stanford Approach （CASA） model based on two kinds of remote sensing （RS） data, Landsat Enhanced Thematic Mapper Plus （ETM ＋） and Moderate Resolution Imaging Spectro- radiometer （MODIS...An improved Carnegie Ames Stanford Approach （CASA） model based on two kinds of remote sensing （RS） data, Landsat Enhanced Thematic Mapper Plus （ETM ＋） and Moderate Resolution Imaging Spectro- radiometer （MODIS）, and climate variables were applied to estimate the Net Primary Productivity （NPP） of Xuzhou in June of each year from 2001 to 2010. The NPP of the study area decreased as the spatial scale increased. The average NPP of terrestrial vegetation in Xuzhou showed a decreasing trend in recent years, likely due to changes in climate and environment. The study area was divided into four sub-regions, designated as highest, moderately high, moderately low, and lowest in NPR The area designated as the lowest sub-region in NPP increased with expanding scale, indicating that the NPP distribution varied with different spatial scales. The NPP of different vegetation types was also significantly influenced by scale. In particular, the NPP of urban woodland produced lower estimates because of mixed pixels. Similar trends in NPP were observed with different RS data. In addition, expansion of residential areas and reduction of vegetated areas were the major reasons for NPP change. Land cover changes in urban areas reduced NPP, which could chiefly be attributed to human-induced disturbance.展开更多
文摘As a measure for higher engineering education in the new era to deal with a new round of scientific and technological revolution and industrial reform,China,s new engineering construction is an important strategic deployment to cultivate diversified and innovative engineering talents.In order to promote the new engineering construction in an all-rounded wa%talent training is the key.Compared with traditional engineering talents,new engineering talents need to have richer values and normative knowledge,especially public policy qualities,which is the ability that new engineering talents should have in this complex and changeable environment.The EPP(Engineering and Public Policy)professional training model at Carnegie Mellon University provides useful practical experience for the cultivation of public policy qualities of new engineering talents.
文摘研究发现,许多人在叫亲近之人的名字时会感到尴尬甚至焦虑,这种现象被称为“名字恐惧症”,它揭示了名字在人际关系中的微妙作用。1 The positive role of names has long been recognized.Dale Carnegie,a renowned self⁃help expert,emphasized in his book How to Win Friends and Influence People that saying someone's name is like a magical key to success in various aspects of life.Franklin D.Roosevelt's campaign manager addressing voters by their names,and Andrew Carnegie naming companies after competitors and potential buyers are examples of how names can play a crucial role.It's not just in politics and business either.
基金This research was supported by the West Light Foundation of the Chinese Academy of Sciences(2018-XBQNXZ-B-017)the High-Level Talents Project in Xinjiang(Y942171)This study was also supported by the CAS President's International Fellowship Initiative(PIFI)Project(2021VCA0003,2021VCB0013).
文摘Net primary productivity (NPP) of the vegetation in an oasis can reflect the productivity capacity of a plant community under natural environmental conditions. Owing to the extreme arid climate conditions and scarce precipitation in the arid oasis regions, groundwater plays a key role in restricting the development of the vegetation. The Qira Oasis is located on the southern margin of the Taklimakan Desert (Tarim Basin, China) that is one of the most vulnerable regions regarding vegetation growth and water scarcity in the world. Based on remote sensing images of the Qira Oasis and daily meteorological data measured by the ground stations during the period 2006-2019, this study analyzed the temporal and spatial patterns of NPP in the oasis as well as its relation with the variation of groundwater depth using a modified Carnegie Ames Stanford Approach (CASA) model. At the spatial scale, NPP of the vegetation decreased from the interior of the Qira Oasis to the margin;at the temporal scale, NPP of the vegetation in the oasis fluctuated significantly (ranging from 29.80 to 50.07 g C/(m2•month)) but generally showed an increasing trend, with the average increase rate of 0.07 g C/(m2•month). The regions with decreasing NPP occupied 64% of the total area of the oasis. During the study period, NPP of both farmland and grassland showed an increasing trend, while that of forest showed a decreasing trend. The depth of groundwater was deep in the south of the oasis and shallow in the north, showing a gradual increasing trend from south to north. Groundwater, as one of the key factors in the surface change and evolution of the arid oasis, determines the succession direction of the vegetation in the Qira Oasis. With the increase of groundwater depth, grassland coverage and vegetation NPP decreased. During the period 2008-2015, with the recovery of groundwater level, NPP values of all types of vegetation with different coverages increased. This study will provide a scientific basis for the rational utilization and sustainable management of groundwater resources in the oasis.
文摘An improved Carnegie Ames Stanford Approach （CASA） model based on two kinds of remote sensing （RS） data, Landsat Enhanced Thematic Mapper Plus （ETM ＋） and Moderate Resolution Imaging Spectro- radiometer （MODIS）, and climate variables were applied to estimate the Net Primary Productivity （NPP） of Xuzhou in June of each year from 2001 to 2010. The NPP of the study area decreased as the spatial scale increased. The average NPP of terrestrial vegetation in Xuzhou showed a decreasing trend in recent years, likely due to changes in climate and environment. The study area was divided into four sub-regions, designated as highest, moderately high, moderately low, and lowest in NPR The area designated as the lowest sub-region in NPP increased with expanding scale, indicating that the NPP distribution varied with different spatial scales. The NPP of different vegetation types was also significantly influenced by scale. In particular, the NPP of urban woodland produced lower estimates because of mixed pixels. Similar trends in NPP were observed with different RS data. In addition, expansion of residential areas and reduction of vegetated areas were the major reasons for NPP change. Land cover changes in urban areas reduced NPP, which could chiefly be attributed to human-induced disturbance.
