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2002年中国历史地理国际学术讨论会综述
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作者 弯弓 《历史地理》 2003年第1期408-409,共2页
2002年中国历史地理国际学术讨论会于8月11-15日在天津师范大学成功召开。这次讨论会是由中国地理学会历史地理专业委员会主办,天津师范大学、天津市地理学会共同承办的。来自复旦大学、陕西师大、北京大学、中国社会科学院、中国科学... 2002年中国历史地理国际学术讨论会于8月11-15日在天津师范大学成功召开。这次讨论会是由中国地理学会历史地理专业委员会主办,天津师范大学、天津市地理学会共同承办的。来自复旦大学、陕西师大、北京大学、中国社会科学院、中国科学院、中国军事科学院、浙江大学、南京大学、辽宁大学、西南师大、西北师大、中山大学、天津师大、南开大学、天津社科院等单位,以及台湾、海外的学者共百余人出席了讨论会。 展开更多
关键词 西北师大 陕西师大 天津师范大学 中国科学院 中国社会科学院 中国历史地理 南京大学 中国地理学会
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1998年中国历史地理——区域历史地理学术讨论会在沈阳召开
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作者 弯弓 《历史地理》 1999年第1期383-384,共2页
由中国地理学会历史地理专业委员会主办、沈阳东亚研究中心承办的中国历史地理——区域历史地理学术讨论会,1998年8月16-21日在沈阳召开。来自北京大学、复旦大学、中国社会科学院、陕西师范大学等30多个单位的60多位代表和日本的学者... 由中国地理学会历史地理专业委员会主办、沈阳东亚研究中心承办的中国历史地理——区域历史地理学术讨论会,1998年8月16-21日在沈阳召开。来自北京大学、复旦大学、中国社会科学院、陕西师范大学等30多个单位的60多位代表和日本的学者参加了会议。开幕式由专业委员会副主任张修桂先生主持。 展开更多
关键词 陕西师范大学 中国社会科学院 中国历史地理 中国地理学会 学术讨论会 东亚研究 区域历史地理 复旦大学
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Analysis of the Heavy Rainfall Process in Mangshi City on August 8, 2023
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作者 Yan YU Bowen LIU +2 位作者 wan gong Shuxuan HE Lei WEI 《Meteorological and Environmental Research》 2024年第2期48-54,61,共8页
On August 7,2023,Mangshi City,Dehong Prefecture experienced a local heavy rainstorm,and the geological disaster caused by the heavy rainfall caused casualties and property losses.Based on the real-time observation dat... On August 7,2023,Mangshi City,Dehong Prefecture experienced a local heavy rainstorm,and the geological disaster caused by the heavy rainfall caused casualties and property losses.Based on the real-time observation data of automatic stations,Doppler weather radar detection and meteorological risk warning products,the disaster situation,social impact,forecast and early warning service,causes of heavy precipitation and forecast and early warning inspection were summarized and analyzed.The results show that the heavy rainfall was prominent locally,lasted for a long time and accumulated a large amount of rainfall.There were biases in model products,and it was difficult for forecasters to make subjective corrections in complex terrain.The analysis ideas and focus points of heavy rainfall forecast,the improvement ideas and technical schemes of forecast deviation,and the improvement ideas and suggestions of services were summarized.It provides a reference for the forecast and early warning of severe weather in the future. 展开更多
关键词 Heavy rainfall Low-pressure inverted trough Geological disaster Forecast deviation
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Ginsenoside Rg1 protects against transient focal cerebral ischemic injury and suppresses its systemic metabolic changes in cerabral injury rats 被引量:7
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作者 Mingbao Lin Wei Sun +3 位作者 wan gong Yasi Ding Yuanyan Zhuang Qi Hou 《Acta Pharmaceutica Sinica B》 SCIE CAS CSCD 2015年第3期277-284,共8页
Ginsenoside Rg1(GR),a major bioactive compound of traditional Chinese medicine,such as Panax ginseng or Radix Notoginseng,has been shown to exert neuroprotective effects against ischemic stroke.However,pharmacokinetic... Ginsenoside Rg1(GR),a major bioactive compound of traditional Chinese medicine,such as Panax ginseng or Radix Notoginseng,has been shown to exert neuroprotective effects against ischemic stroke.However,pharmacokinetic studies have suggested that GR could not be efficiently transported through the blood–brain barrier.The mechanism by which GR attenuates cerebral ischemic injury in vivo remains largely unknown.Therefore,this study explored potential neuro-protective effects of GR through its systemic metabolic regulating mechanism by using mass spectrometry–based metabolomic profiling.Rats with middle cerebral artery occlusion(MCAO) were treated with GR intravenously.Their metabolic profiles in serum were measured by gas chromatography coupled with mass spectrometry on 1 and 3 days after MCAO.GR exhibited a potent neuro-protective effect by significantly decreasing the neurological scores and infarct volume in the MCAO rats.Moreover,18 differential metabolites were tentatively identified,all of which appeared to correlate well with these disease indices.Our findings suggested that GR carries a therapeutic potential in stroke possibly through a feed-back mechanism by regulating systematic metabolic mediation. 展开更多
关键词 Ginsenoside Rg1 MCAO METABOLITES Biomarkers
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