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大学的分化与科研的定位 被引量:9
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作者 孙二军 《高教探索》 CSSCI 北大核心 2008年第6期36-38,共3页
在大学科研职能演变的过程中始终伴随着科研与教学的争论,并逐步凸现了科研职能的漂移。大学的科研定位与科研职能的整合,既是大学分化的内在要素,也是大学分化的影响因子。不同层次、类型的大学需要明确各自适宜的科研定位,尤其是研究... 在大学科研职能演变的过程中始终伴随着科研与教学的争论,并逐步凸现了科研职能的漂移。大学的科研定位与科研职能的整合,既是大学分化的内在要素,也是大学分化的影响因子。不同层次、类型的大学需要明确各自适宜的科研定位,尤其是研究型大学的分化与科研定位问题,直接关系到一流大学的建设。 展开更多
关键词 科研与教学 大学分化 科研定位
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关注大学生贫富分化 建设和谐地方高校 被引量:2
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作者 冯恺 《农业科技与信息》 2007年第11X期71-72,共2页
研究和重视在校大学生的贫富差距问题,有利于高校的稳定和谐发展,也有利于学生健康、全面的发展。
关键词 大学生贫富分化 和谐校园 地方高校
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Chemical compositions and source apportionment of atmospheric PM_(10) in suburban area of Changsha, China 被引量:2
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作者 李剑东 邓启红 +1 位作者 路婵 黄柏良 《Journal of Central South University》 SCIE EI CAS 2010年第3期509-515,共7页
Source apportionment of particulate matters with aerodynamic diameter less than 10 μm (PM10) was conducted in the suburban area of Changsha, China. PM10 samples for 24 h collected with TEOM 1400a and ACCU system in... Source apportionment of particulate matters with aerodynamic diameter less than 10 μm (PM10) was conducted in the suburban area of Changsha, China. PM10 samples for 24 h collected with TEOM 1400a and ACCU system in July and October 2008 were chemically analyzed by the wavelength dispersive X-ray fluorescence (WD-XRF). Source appointment was implemented by the principal component analysis/absolute principal component analysis (PCA/APCA) to identify the possible sources and to quantify the contributions of the sources to PM10. Results show that as the PM10 concentration is increased from (85.6±43.7) μg/m3 in July 2008 to (107.6±35.7) μg/m^3 in October 2008, the concentrations of the anthropogenic elements (P, S, C1, K, Mn, Ni, Cu, Zn, and Pb) are basically increased but concentrations of the natural elements (Na, Mg, Al, Si, Ca, Ti, and Fe) are essentially decreased. Six main sources of PM10 are identified in the suburban of Changsha, China: soil dust, secondary aerosols, domestic oil combustion, waste incineration, traffic emission, and industrial emission contribute 57.7%, 24.0%, 9.8%, 5.0%, 2.0%, and 1.5%, respectively. Soil dust and secondary aerosols are the two major sources of particulate air pollution in suburban area of Changsha, China, so effective measures should be taken to control these two particulate pollutants. 展开更多
关键词 particulate matters PM10 chemical composition receptor modeling principal component analysis suburban particulate matters PM10 chemical composition receptor modeling principal component analysis SUBURBAN
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