目的:观察血糖水平及血糖漂移对2型糖尿病(type 2 diabetes mellitus,T2DM)合并急性脑梗死(acute cerebral infarction,ACI)患者神经功能缺损的影响。方法:选取2014年3月至2015年6月在我院治疗的ACI患者作为观察对象,根据其是否合并2型...目的:观察血糖水平及血糖漂移对2型糖尿病(type 2 diabetes mellitus,T2DM)合并急性脑梗死(acute cerebral infarction,ACI)患者神经功能缺损的影响。方法:选取2014年3月至2015年6月在我院治疗的ACI患者作为观察对象,根据其是否合并2型糖尿病史,将其分为2组:合并2型糖尿病组(DMCI组,42例)和不合并2型糖尿病组(NDMCI组,45例)。比较两组患者平均血糖水平(mean blood glucose,MBG)、血糖水平标准差(standard dev iation of blood glucose,SDBG)、血糖波动频数(number of effective glucose excursions,NEGE)、最大血糖波动幅度(largest amplitude of glycemic excursions,L AGE)以及平均血糖波动幅度(mean amplitude of glycemic excursions,MAGE)的差异;观察两组患者神经功能缺损评分的差异,分析血糖水平及血糖漂移与神经功能缺损的相关性。结果:DMCI组患者神经功能缺损评分(National Institutes of Health Stroke Scale,NIHSS)明显高于N D M CI组,差异具有统计学意义(P<0.0 5);D M CI组患者M B G、SD B G、N EG E、L AG E和M AG E水平均明显高于NDMCI组,差异具有统计学意义(P<0.05);NIHSS评分与MBG、SDBG、NEGE、L AGE和MAGE水平均明显正相关(r=0.356、0.412、0.389、0.435和0.397,P<0.05)。结论:血糖及血糖漂移的高水平可加重T2DM合并ACI患者的神经功能缺损程度。展开更多
Aims The diversity-productivity relationship is one of the most critical questions in ecology and can be altered by environmental factors.Hydrological fluctuation affects growth of wetland plants,and such effects vary...Aims The diversity-productivity relationship is one of the most critical questions in ecology and can be altered by environmental factors.Hydrological fluctuation affects growth of wetland plants,and such effects vary with plant species.Therefore,we hypothesized that hydrological fluctuation changes effects of species richness on productivity of wetland plant communities.Methods We constructed wetland plant communities consisting of three or six wetland plant species and subjected them to hydrological fluctuation(i.e.gradually changing water level)of two frequencies and two ranges,with unchanged water level as the control.We measured height,root and shoot dry mass of each plant at harvest.Important Findings Hydrological fluctuation significantly decreased biomass of wetland plant communities,which was due to impacts of fluctuation range,but not those of fluctuation frequency.Community biomass was significantly higher when species richness was higher,and such an effect did not depend on hydrological fluctuation.Therefore,hydrological fluctuation can decrease the productivity of wetland plant communities but may not alter the diversity-productivity relationship.展开更多
Chemical randomness and the associated energy fluctuation are essential features of multi-principal ele-ment alloys(MPEAs).Due to these features,nanoscale stacking fault energy(SFE)fluctuation is a natural and indepen...Chemical randomness and the associated energy fluctuation are essential features of multi-principal ele-ment alloys(MPEAs).Due to these features,nanoscale stacking fault energy(SFE)fluctuation is a natural and independent contribution to strengthening MPEAs.However,existing models for conventional alloys(i.e.,alloys with one principal element)cannot be applied to MPEAs.The extreme values of SFEs required by such models are unknown for MPEAs,which need to calculate the nanoscale volume relevant to the SFE fluctuation.In the present work,we developed an analytic model to evaluate the strengthening ef-fect through the SFE fluctuation,profuse in MPEAs.The model has no adjustable parameters,and all parameters can be determined from experiments and ab initio calculations.This model explains available experimental observations and provides insightful guidance for designing new MPEAs based on the SFE fluctuation.It generally applies to MPEAs in random states and with chemical short-range order.展开更多
文摘目的:观察血糖水平及血糖漂移对2型糖尿病(type 2 diabetes mellitus,T2DM)合并急性脑梗死(acute cerebral infarction,ACI)患者神经功能缺损的影响。方法:选取2014年3月至2015年6月在我院治疗的ACI患者作为观察对象,根据其是否合并2型糖尿病史,将其分为2组:合并2型糖尿病组(DMCI组,42例)和不合并2型糖尿病组(NDMCI组,45例)。比较两组患者平均血糖水平(mean blood glucose,MBG)、血糖水平标准差(standard dev iation of blood glucose,SDBG)、血糖波动频数(number of effective glucose excursions,NEGE)、最大血糖波动幅度(largest amplitude of glycemic excursions,L AGE)以及平均血糖波动幅度(mean amplitude of glycemic excursions,MAGE)的差异;观察两组患者神经功能缺损评分的差异,分析血糖水平及血糖漂移与神经功能缺损的相关性。结果:DMCI组患者神经功能缺损评分(National Institutes of Health Stroke Scale,NIHSS)明显高于N D M CI组,差异具有统计学意义(P<0.0 5);D M CI组患者M B G、SD B G、N EG E、L AG E和M AG E水平均明显高于NDMCI组,差异具有统计学意义(P<0.05);NIHSS评分与MBG、SDBG、NEGE、L AGE和MAGE水平均明显正相关(r=0.356、0.412、0.389、0.435和0.397,P<0.05)。结论:血糖及血糖漂移的高水平可加重T2DM合并ACI患者的神经功能缺损程度。
基金Fundamental Research Funds for the Central Universities(TD-JC-2013-1)Specialized Research Fund for the Doctoral Program of Higher Education(20120014120001)National Natural Science Foundation of China(31200314,31470475).
文摘Aims The diversity-productivity relationship is one of the most critical questions in ecology and can be altered by environmental factors.Hydrological fluctuation affects growth of wetland plants,and such effects vary with plant species.Therefore,we hypothesized that hydrological fluctuation changes effects of species richness on productivity of wetland plant communities.Methods We constructed wetland plant communities consisting of three or six wetland plant species and subjected them to hydrological fluctuation(i.e.gradually changing water level)of two frequencies and two ranges,with unchanged water level as the control.We measured height,root and shoot dry mass of each plant at harvest.Important Findings Hydrological fluctuation significantly decreased biomass of wetland plant communities,which was due to impacts of fluctuation range,but not those of fluctuation frequency.Community biomass was significantly higher when species richness was higher,and such an effect did not depend on hydrological fluctuation.Therefore,hydrological fluctuation can decrease the productivity of wetland plant communities but may not alter the diversity-productivity relationship.
基金sponsored by the U.S.Department of En-ergy,Office of Science,Basic Energy Sciences,Materials Science and Engineering Divisionsupported by the Office of Science of the U.S.Department of Energy under Contract No.DE-AC05-00OR22725+2 种基金the supports from(1)the National Science Foundation(DMR-1611180 and 1809640)with program directors,Drs.J.Yang,G.Shifletthe US Army Research Office(W911NF-13-1-0438 and W911NF-19-2-0049)with program managers,Drs.M.P.Bakas,S.N.Math-audhuthe support of U.S.Na-tional Science Foundation under grant DMR-1804320.
文摘Chemical randomness and the associated energy fluctuation are essential features of multi-principal ele-ment alloys(MPEAs).Due to these features,nanoscale stacking fault energy(SFE)fluctuation is a natural and independent contribution to strengthening MPEAs.However,existing models for conventional alloys(i.e.,alloys with one principal element)cannot be applied to MPEAs.The extreme values of SFEs required by such models are unknown for MPEAs,which need to calculate the nanoscale volume relevant to the SFE fluctuation.In the present work,we developed an analytic model to evaluate the strengthening ef-fect through the SFE fluctuation,profuse in MPEAs.The model has no adjustable parameters,and all parameters can be determined from experiments and ab initio calculations.This model explains available experimental observations and provides insightful guidance for designing new MPEAs based on the SFE fluctuation.It generally applies to MPEAs in random states and with chemical short-range order.
