Increasing the greenness of an organic acid through deep eutectic solvation and further polymerisation

Acrylic acid(AA)is an important and widely used industrial chemical,but its high toxicity renders its use incompatible with the concept of green development.By leveraging its terminal carboxyl group and unsaturated bond,we designed and explored a new strategy to increase the greenness of AA via its eutectic melting using a quaternary ammonium salt(choline chloride)to form a deep eutectic solvent(DES),followed by polymerisation of the DES to form a polymer(poly(DES)).The greenness of AA,DES,and poly(DES)was evaluated via an in vitro test using MGC80-3 cells and an in vivo test using Kunming mice.The toxicity improved from Grade 2(moderately toxic)for AA to Grade 1(slightly toxic)for DESs and Grade 0(non-toxic)for poly(DES)in the in vitro test.Moreover,the poly(DES)s showed a lower toxicity in mice than the DESs in the in vivo test.Thus,greenness enhancement was successfully achieved,with the greenness following the order AA<DES<poly(DES).Furthermore,the mechanisms underlying the change in toxicity were explored through microscopy and flow cytometry,which revealed that the DES can permeate the MGC80-3 cell membrane during the G_(0)/G_(1) phase to adversely affect DNA synthesis in the S phase,but the poly(DES)cannot.Finally,the green poly(DES),which showed good adsorption properties and flexible functionality,was successfully applied as a carrier or excipient of drugs.Through the novel strategy reported herein,greenness enhancement and the broadening of the application scope of a toxic organic acid were achieved,making such acids applicable for green development.

Spatial patterns and driving forces of urban vegetation greenness in China:A case study comprising 289 cities

Urban vegetation in China has changed substantially in recent decades due to rapid urbanization and dramatic climate change.Nevertheless,the spatial differentiation of greenness among major cities of China and its evolution process and drivers are still poorly understood.This study examined the spatial patterns of vegetation greenness across 289 cities in China in 2000,2005,2010,2015,and 2018 by using spatial autocorrelation analysis on the Normalized Difference Vegetation Index(NDVI);then,the influencing factors were analyzed by using the optimal parameters-based geographical detector(OPGD)model and 18 natural and anthropogenic indicators.The findings demonstrated a noticeable rise in the overall greenness of the selected cities during 2000-2018.The cities in northwest China and east China exhibited the rapidest and slowest greening,respectively,among the six sub-regions.A significant positive spatial correlation was detected between the greenness of the 289 cities in different periods,but the correlation strength weakened over time.The hot and very hot spots in southern and eastern China gradually shifted to the southwest.While the spatial pattern of urban greenness in China is primarily influenced by wind speed(WS)and precipitation(PRE),the interaction between PRE and gross domestic product(GDP)has the highest explanatory power.The explanatory power of most natural factors decreased and,conversely,the influence of anthropogenic factors generally increased.These findings emphasize the variations in the influence strength of multiple factors on urban greenness pattern,which should be taken into account to understand and adapt to the changing urban ecosystem.

Association between Residential Greenness and Cardiometabolic Risk Factors among Adults in Rural Xinjiang Uygur Autonomous Region,China:A Cross-Sectional Study

Objective This study aimed to explore the relationships between residential greenness and cardiometabolic risk factors among rural adults in Xinjiang Uygur Autonomous Region(Xinjiang)and thus provide a theoretical basis and data support for improving the health of residents in this region.Methods We recruited 9,723 adult rural residents from the 51st Regiment of the Third Division of the Xinjiang Production and Construction Corps in September 2016.The normalized difference vegetation index(NDVI)was used to estimate residential greenness.The generalized linear mixed model(GLMM)was used to examine the association between residential greenness and cardiometabolic risk factors.Results Higher residential greenness was associated with lower cardiometabolic risk factor prevalence.After adjustments were made for age,sex,education,and marital status,for each interquartile range(IQR)increase of NDVI500-m,the risk of hypertension was reduced by 10.3%(OR=0.897,95%CI=0.836-0.962),the risk of obesity by 20.5%(OR=0.795,95%CI=0.695-0.910),the risk of type 2 diabetes by 15.1%(OR=0.849,95%CI=0.740-0.974),and the risk of dyslipidemia by 10.5%(OR=0.895,95%CI=0.825-0.971).Risk factor aggregation was reduced by 20.4%(OR=0.796,95%CI=0.716-0.885)for the same.Stratified analysis showed that NDVI500-m was associated more strongly with hypertension,dyslipidemia,and risk factor aggregation among male participants.The association of NDVI500-m with type 2 diabetes was stronger among participants with a higher education level.PM10 and physical activity mediated 1.9%-9.2%of the associations between NDVI500-m and obesity,dyslipidemia,and risk factor aggregation.Conclusion Higher residential greenness has a protective effect against cardiometabolic risk factors among rural residents in Xinjiang.Increasing the area of green space around residences is an effective measure to reduce the burden of cardiometabolic-related diseases among rural residents in Xinjiang.

Understanding spatial patterns in the drivers of greenness trends in the Sahel-Sudano-Guinean region

The region-wide spatial pattern of the drivers of vegetation trends in the African Sahel-Sudano-Guinean region, one of the main drylands of the world, has not been fully investigated. Time-series satellite earth observation datasets were used to investigate spatiotemporal patterns of the vegetation greenness changes in the region and then a principal component regression method was applied to identify the region-wide spatial pattern of driving factors. Results find that vegetation greening is widespread in the region, while vegetation browning is more clustered in central West Africa. The dominant drivers of vegetation greenness have a distinct spatial pattern. Climatic factors are the primary drivers, but the impacts of precipitation decrease from north to south, while the impacts of temperature are contrariwise. Coupled with climatic drivers, land cover changes lead to greening trends in the arid zone, especially in the western Sahelian belt. However, the cluster of browning trends in central West Africa can primarily be attributed to the human-induced land cover changes, including an increasing fractional abundance of agriculture. The results highlight the spatial pattern of climatic and anthropic factors driving vegetation greenness changes, which helps natural resources sustainable use and mitigation of climate change and human activities in global dryland ecosystems.

黄河流域生态保护迈向高质量发展的特征——植被绿度、生产力和降水利用效率的差异性变化

Globally,vegetation has been changing dramatically.The vegetation-water dynamic is key to understanding ecosystem structure and functioning in water-limited ecosystems.Continual satellite monitoring has detected global vegetation greening.However,a vegetation greenness increase does not mean that ecosystem functions increase.The intricate interplays resulting from the relationships between vegetation and precipitation must be more adequately comprehended.In this study,satellite data,for example,leaf area index(LAI),net primary production(NPP),and rainfall use efficiency(RUE),were used to quantify vegetation dynamics and their relationship with rainfall in different reaches of the Yellow River Basin(YRB).A sequential regression method was used to detect trends of NPP sensitivity to rainfall.The results showed that 34.53%of the YRB exhibited a significant greening trend since 2000.Among them,20.54%,53.37%,and 16.73%of upper,middle,and lower reach areas showed a significant positive trend,respectively.NPP showed a similar trend to LAI in the YRB upper,middle,and lower reaches.A notable difference was noted in the distributions and trends of RUE across the upper,middle,and lower reaches.Moreover,there were significant trends in vegetation-rainfall sensitivity in 16.86%of the YRB’s middle reaches—14.08%showed negative trends and 2.78%positive trends.A total of 8.41%of the YRB exhibited a marked increase in LAI,NPP,and RUE.Subsequently,strategic locations reliant on the correlation between vegetation and rainfall were identified and designated for restoration planning purposes to propose future ecological restoration efforts.Our analysis indicates that the middle reach of the YRB exhibited the most significant variation in vegetation greenness and productivity.The present study underscores the significance of examining the correlation between vegetation and rainfall within the context of the high-quality development strategy of the YRB.The outcomes of our analysis and the proposed ecological restoration framework can provide decision-makers with valuable insights for executing rational basin pattern optimization and sustainable management.

盆底超声检查和Green分型诊断产妇产后早期盆底结构及压力性尿失禁

目的:探究盆底超声检查和Green分型在产妇产后早期盆底结构及压力性尿失禁(SUI)诊断中的价值。方法:选取2021年3月-2023年3月本院就诊经产妇204例,根据产后早期(6~8周)SUI发生情况分为SUI组(82例)和非SUI组(122例)。检查产妇静息和Valsalva动作状态下膀胱颈距耻骨联合下缘的距离(BSD)、膀胱尿道后角(PUA)、膀胱颈移动度(BND)和尿道旋转角(UR),对比Green分型;采用受试者工作特征(ROC)曲线分析相关参数诊断SUI价值。结果:静息状态下,两组盆底超声参数无差异(P>0.05);SUI组Valsalva动作状态下的BSD、PUA、BND和UR值均大于非SUI组,Green分型Ι型占比(25.6%)低于非SUI组(59.8%)(均P<0.05)。ROC曲线分析,Green分型曲线下面积(AUC)0.579,对SUI诊断价值不佳(P=0.057),Valsalva动作状态下BSD(AUC=0.758)、PUA(AUC=0.743)、BND(AUC=0.769)和UR(AUC=0.705)对SUI诊断价值良好(均P<0.05)。结论:盆底超声检查和Green分型能有效评估经产妇早期盆底结构状况,前者可诊断SUI。

轨道车辆垂向轮轨力时域识别对比及其机器学习修正

为了尽可能减小轨道车辆垂向轮轨力时域识别中存在的误差,以时域法为基础,开展了基于机器学习修正的轨道车辆垂向轮轨力识别研究.首先建立了车辆动力学仿真模型,获取了车辆在随机轨道激励下以250km/h速度行驶时的轴箱加速度响应和垂向轮轨力.其次,建立了Green函数法、状态空间法这2种时域法对应的动载荷识别模型,对状态空间法的初值误差进行了分析,并引入多项式拟合法修正其趋势项误差,进而对比分析了2种方法的计算精度和计算效率.然后,针对时域法存在的识别误差,提出采用NARX(nonlinear autoregressive models with exogenous inputs)模型对识别误差进行训练和预测,用于消减模型中存在的如响应观测不全与观测噪声等因素造成的影响,进而对时域法识别结果进行修正,提高识别精度.最后,通过一个10自由度轨道车辆垂向动力学模型,对方法的正确性进行了验证.研究结果表明:2种方法对轨道车辆垂向轮轨力均具有较高的识别精度,对于各轮对的识别精度各有优劣;在计算效率方面,状态空间法比Green函数法更优;经NARX模型修正的2种时域法对轨道车辆垂向轮轨力均具有很好的识别效果,识别值与正演值的Pearson相关系数大于0.99,为极强相关.基于NARX模型的机器学习误差修正方法可有效提高时域识别精度,可以为后续轨道车辆轮轨力预测提供参考,具有较强的工程运用价值.

水禽细小病毒SYBR Green Ⅰ荧光定量PCR检测方法的建立与应用

为了建立水禽细小病毒(WPV)快速检测方法,根据序列比对结果在水禽细小病毒NS基因SF3保守区域内设计特异性引物,建立SYBR Green Ⅰ荧光定量PCR通用检测方法。该方法的扩增效率(E)为90.0%,相关系数(R~2)=0.99,标准曲线方程为y=-3.607x+38.77;除WPV出现S形扩增曲线外,新城疫病毒(NDV)、H9亚型禽流感病毒(H9 AIV)、鸭坦布苏病毒(DTMUV)、鸭肝炎病毒(DHAV)、鸭肠炎病毒(DEV)、鸭呼肠孤病毒(DRV)样品均未出现S形阳性扩增曲线;批内变异系数(CV)为0.15%~0.23%,批间变异系数为0.09%~0.28%。结果表明,SYBR Green Ⅰ荧光定量PCR检测方法重复性好、灵敏度高和特异性强。临床样品检测结果表明,SYBR Green Ⅰ荧光定量PCR与普通PCR的符合率达98.4%,灵敏度是普通PCR的1 000倍。SYBR Green Ⅰ荧光定量PCR检测方法不仅能定性检测WPV,还可以进行定量检测,可用于种鸭场、种鹅场的WPV净化检测,也可用于WPV临床大量样品的快速检测。

美洲鳗鲡腺瘤病毒(AEAdoV)普通PCR和SYBR Green I实时荧光定量PCR检测方法的建立及应用

为建立美洲鳗鲡腺瘤病毒(AEAdoV)的检测方法,根据AEAdoV福建株(AEAdoVFJ)的superfamily 3 helicases(S3H)序列,设计引物,建立了AEAdoV的普通PCR和qPCR检测方法;进一步评价检测方法的灵敏性、特异性及重复性,利用2种方法对美洲鳗鲡“出血性烂鳃”病料进行了检测,并对美洲鳗鲡体内不同组织的病毒含量进行分析。结果显示,普通PCR扩增的目的片段长度约300 bp,利用其构建的qPCR质粒标准品,其拷贝数与qPCR阈值循环数(C_(t))线性关系良好,线性范围广,标准曲线相关系数(R2)达到0.999,扩增效率为105.067%。建立的普通PCR法和qPCR的最低检测AEAdoV拷贝数分别为100个和10个。2种方法均可特异性检测AEAdoV,而对蛙虹彩病毒(RGV)、鳗鲡疱疹病毒(AngHV)、鲤疱疹病毒(KHV)、对虾白斑综合征病毒(WSSV)、日本鳗鲡内皮细胞坏死病毒(JEAdoV)和花鳗鲡腺瘤病毒(MEAdoV)均无扩增反应。qPCR法的组内和组间变异系数均小于2%,表明其重复性良好。临床应用结果显示,35份美洲鳗鲡“出血性烂鳃”病料,采用普通PCR法的AEAdoV检出率为82.8%,而qPCR法的AEAdoV检出率为97%。对美洲鳗鲡不同组织的病毒含量分析结果显示,心脏、肝脏、鳃、鳍的AEAdoV相对含量较高,而黏液、皮肤和脾脏的病毒含量相对较低。研究表明,建立的AEAdoV的灵敏度高、特异性强的普通PCR和qPCR检测方法,证实AEAdoV与美洲鳗鲡“出血性烂鳃”病密切相关,且在感染鳗鲡主要组织中都存在。实验结果对于研究AEAdoV的致病性,开展其流行情况和病原学情况分析具有重要意义。

约束Green函数与非线性地基梁模态分析

在生物和医学领域,微机电系统(MEMS)中的微梁结构在植入人体的使用时,由于体内的细胞环境类似于水凝胶,在这种环境下工作,设备和仪器的精度和稳定性很大程度上受到细胞弹性的影响.为了分析此类地基梁的动力学问题,本文建立了非线性基础上的梁振动模型,研究了任意位置弹簧和非线性弹簧基础上的梁模态.通过Laplace变换和线性叠加原理,得到了一种约束Green函数,利用数值计算验证方案的有效性,并研究了各种重要物理参数的影响,发现弹簧位置向跨中移动时,模态对称性被打破,弹簧刚度增加,模态阶数改变.

3型哺乳动物正呼肠孤病毒SYBR Green I荧光定量PCR方法的建立及应用

哺乳动物正呼肠孤病毒(MRV)是双链RNA病毒,可以感染自然宿主的哺乳动物和脊椎动物。为建立一种针对3型哺乳动物正呼肠孤病毒(MRV-3)的特异且快速的检测方法,本研究根据Genbank登录的MRV-3(OQ627746-OQ627755)S1基因保守区设计1对特异性引物,并从MRV-3中扩增S1基因,构建重组质粒p MD18-S1,经PCR和测序鉴定正确后作为质粒标准品,经反应体系及反应条件优化后首次初步建立了检测MRV-3的SYBR Green I荧光定量PCR(q PCR)方法。将质粒标准品10倍倍比稀释后作为模板经该q PCR扩增,建立标准曲线,结果显示,质粒标准品在1.3×10^(8)拷贝/μL~1.3×10^(3)拷贝/μL与各自的Ct值均呈良好的线性关系,斜率为-3.1706,R^(2)为0.9999,熔解曲线为单峰。以牛病毒性腹泻病毒(BVDV)、牛肠道病毒(BEV)、水牛匈爱病毒(Buf Hu V)、牛冠状病毒(BCo V)、牛细小病毒(BPV)和MRV-3的基因组DNA/c DNA为模板,利用本研究建立的q PCR方法检测,评估该方法的特异性;将质粒标准品10倍倍比稀释至1.3×10^(2)拷贝/μL~1.3×10^(8)拷贝/μL后作为模板,分别利用本研究建立的q PCR和常规PCR检测,比较两种方法的检测结果,评估本研究建立q PCR方法的敏感性;以1.3×10^(3)拷贝/μL~1.3×10^(7)拷贝/μL 5个不同浓度的质粒标准品为模板,利用该方法分别进行批内和批间的重复性试验,评估该方法的重复性。结果显示,该方法只能检测出MRV-3,其他相关病原的检测结果均为阴性;该q PCR对质粒标准品的检测限为1.3×10^(3)拷贝/μL,比常规PCR敏感性高10 000倍;批内和批间重复性试验的变异系数均小于或等于1.0%,表明该q PCR方法特异性强、敏感性高、重复性好。利用该方法检测220份牛粪便样品,结果显示MRV-3的检出率(3.64%,8/220)高于常规PCR的检出率(1.36%,3/220),两种检测方法的阳性符合率达100%,阴性符合率为97.75%,总符合率为97.78%。综上所述,本研究首次建立的检测MRV-3的SYBR Green I q PCR方法可以用于临床牛腹泻病原的检测,为MRV-3尤其是牛源MRV-3提供了一种快速灵敏的检测手段,也为MRV-3的后续研究奠定了基础。

猪流行性腹泻病毒SYBR Green I实时荧光定量PCR检测方法的建立

为了建立高效、灵敏的猪流行性腹泻病毒(PEDV)检测方法,本研究从GenBank数据库中获取PEDV N基因序列,扩增出PEDV N基因标准质粒,并在N基因的保守区域内设计了一对特异性荧光定量引物,成功建立了SYBR Green I实时荧光定量PCR检测方法。经过一系列试验表明,该检测方法线性关系良好,R^(2)值为0.99;特异性强,敏感性高,最低可检测至2.23 copies/μL,比普通PCR灵敏约100倍;重复性好,组内变异系数为0.25%~0.43%,组间变异系数为0.67%~0.97%;对于各地区96份临床样品检测出PEDV阳性率为25%。本研究建立的实时荧光定量PCR检测方法为PEDV的临床诊断、流行病学调查以及定量研究提供了有效的检测工具。

水貂圆环病毒实时荧光定量PCR检测方法的建立与应用

为快速检测水貂圆环病毒(MiCV),本试验根据MiCV Cap基因序列设计合成特异性引物,建立了水貂圆环病毒SYBR Green II实时荧光定量PCR检测方法。结果显示,该方法在模板浓度为1.0×10^(6)~1.0×10^(1) copies/μL范围内呈良好线性关系,相关系数为0.9983。本试验建立的检测方法对水貂阿留申病毒、猪圆环病毒2型、水貂肠炎病毒、犬瘟热病毒和猪伪狂犬病毒进行检测均无特异性扩增,批内和批间CV均小于2%,对重组阳性质粒的检测下限为1.0×10^(1) copies/μL,比普通PCR的敏感度高100倍,对阳性样品DNA的检测下限为2.38×10^(-2) pg/μL,比普通PCR的敏感度高1000倍。应用该方法对吉林省部分毛皮动物养殖场的水貂、狐狸、貉和环境样品进行检测,结果其阳性率分别为57.23%、48.42%、39.71%和68.48%。上述结果表明,本研究建立的实时荧光定量PCR检测方法具有良好的灵敏性、特异性和重复性,为MiCV的诊断及流行病学调查提供技术支持。

禽源沙门氏菌荧光定量PCR方法的构建及应用

试验旨在建立一种快速检测禽源沙门氏菌SYBR Green Ⅰ荧光定量PCR(qPCR)的方法,即根据沙门氏菌invA基因的保守序列设计引物,利用普通PCR方法扩增沙门氏菌invA基因保守基因片段,将其克隆到pMD18-T载体上,将获得的重组质粒pMD18-T-invA作为标准阳性模板。经qPCR条件优化后,进行特异性、灵敏性和重复性试验。结果显示,所建立的SYBR Green Ⅰ qPCR方法的Ct值与标准品在1.4~1.4×10^(10)拷贝/μL范围内呈良好的线性关系,R2为0.9963,扩增效率为95%,检测下限为1.4拷贝/μL;与大肠埃希菌、金黄色葡萄球菌、链球菌、痢疾志贺菌、多杀性巴氏杆菌无交叉反应;该方法组内变异系数和组间变异系数均小于2.5%;对44份粪便样本和132份蛋液样本进行qPCR方法和常规PCR方法检测,结果显示该qPCR方法的阳性检出率分别为22.7%(10/44)、0.8%(1/132),常规PCR的阳性检出率分别为9.1%(4/44),0%(0/132)。结果表明:试验成功建立禽源沙门氏菌qPCR检测方法,可为禽源沙门氏菌的快速检测提供技术支撑。

三疣梭子蟹十足目虹彩病毒1 SYBR Green I荧光定量PCR检测方法的建立及初步应用

为建立十足目虹彩病毒1(decapod iridescent virus 1,DIV1)的SYBR GreenⅠ荧光定量PCR检测方法,根据DIV1的MCP和ATPase基因序列,设计并筛选出引物,以制备的DIV1阳性质粒标准品为模板构建标准曲线,建立DIV1的SYBR Green I qPCR方法,并对该方法进行临床初步应用。结果显示,建立的qPCR方法阈值循环数(cycle threshold value,Ct)与标准品拷贝数的对数线性关系良好,标准曲线相关系数(R^(2))为0.999;对DIV1阳性的虾蟹核酸样本能够进行特异性扩增,但对传染性脾肾坏死病毒(infectious spleen and kidney necrosis virus,ISKNV)和白斑综合征病毒(white spot syndrome virus,WSSV)阳性核酸样本均无扩增;最低检测限为9.77 copies/μL;Ct值的组内和组间变异系数均小于1%。运用该方法对70份疑似感染DIV1的虾蟹类样本进行DIV1检测,该方法阳性率为48.57%,与套式PCR检测方法的阳性率一致;利用建立的方法对DIV1阳性三疣梭子蟹的血淋巴、肝胰腺及心脏等组织进行定量检测分析,结果显示各组织中均存在DIV1,其中血淋巴中DIV1平均拷贝数最高。研究表明,建立的SYBR GreenⅠ荧光定量PCR方法特异性强、灵敏度高、重复性好,可用于对DIV1的快速、定量检测,对十足目虹彩病毒病的诊断和防控具有重要意义。

香辛料SYBR GREENⅠ染料实时聚合酶链式反应检测方法的建立及应用

目的:本研究致力于建立香辛料真实性成分的分子鉴定方法,为香辛料的掺假提供有效的鉴定和检测方法,在不同的使用条件下分别实现定性或半定量分析,为建立相关标准提供一定的基础技术支撑。方法:研究采用SYBR GREENⅠ染料实时聚合酶链式反应(polymerase chain reaction,PCR)方法,通过设计特异性引物成功建立了特异性检测八角、茴香、胡椒和花椒的分析技术。结果:该方法能够特异性检测出八角、茴香、胡椒、花椒,Ct值在标准品体积分数0.001%~10%范围内线性关系良好。针对八角标准品,检测限为1%;针对茴香、花椒、胡椒标准品,最检测限均为0.001%。利用该方法对5份实际样本进行检测,分别在样本1中未检测出八角、茴香、胡椒、花椒;样本2、3、5中检测出八角、茴香、胡椒;样本4中检测出八角、茴香、胡椒、花椒。结论:本实验建立的SYBR GREENⅠ染料实时PCR方法灵敏度高、重复性好,可应用于实际样品的检测。

小反刍兽疫LAMP反应结果可视化检测方法比较研究

环介导等温扩增(loop-mediated isothermal amplification,LAMP)技术是一种可应用于各种病原体检测、基因分型等领域的等温扩增技术。该技术所需设备简单且易于操作,因此具有较大的发展潜力。根据目前已经存在的判定LAMP结果的可视化方法,以可能对野生小反刍动物造成威胁的小反刍兽疫病毒(Peste des petits ruminants virus,PPRV)cDNA为检测对象,选择合适的引物组,比较评估均可在日光或紫外光下区分阴阳性结果的SYBR Green I、SYBR Safe Stain和羟基萘酚蓝(hydroxy naphthol blue,HNB)3种指示剂方法的适用性与灵敏度。结果表明:3种方法的灵敏度都很高,均与琼脂糖凝胶电泳相当。其中,SYBR Green I结果区分度高、不受体系成分影响且无须额外设备,但成本较高;SYBR Safe Stain具有良好的结果区分度,成本相对较低,但需要额外的紫外照射设备;HNB成本最低,但颜色区分度较低,且易受多种因素影响。建议在选择LAMP指示剂时,综合考虑成本、使用便利性、结果准确性及实验条件,通过充分的体系优化和验证,确保LAMP检测的准确性和可靠性。研究结果突显了不同方法的特征和适用场景,为研究人员根据不同场所与条件选择高效、便捷的LAMP反应结果可视化方法提供参考。

Visualizing Wallerian degeneration in the corticospinal tract after sensorimotor cortex ischemia in mice

Stroke can cause Wallerian degeneration in regions outside of the brain,particularly in the corticospinal tract.To investigate the fate of major glial cells and axons within affected areas of the corticospinal tract following stroke,we induced photochemical infarction of the sensorimotor cortex leading to Wallerian degeneration along the full extent of the corticospinal tract.We first used a routine,sensitive marker of axonal injury,amyloid precursor protein,to examine Wallerian degeneration of the corticospinal tract.An antibody to amyloid precursor protein mapped exclusively to proximal axonal segments within the ischemic cortex,with no positive signal in distal parts of the corticospinal tract,at all time points.To improve visualization of Wallerian degeneration,we next utilized an orthograde virus that expresses green fluorescent protein to label the corticospinal tract and then quantitatively evaluated green fluorescent protein-expressing axons.Using this approach,we found that axonal degeneration began on day 3 post-stroke and was almost complete by 7 days after stroke.In addition,microglia mobilized and activated early,from day 7 after stroke,but did not maintain a phagocytic state over time.Meanwhile,astrocytes showed relatively delayed mobilization and a moderate response to Wallerian degeneration.Moreover,no anterograde degeneration of spinal anterior horn cells was observed in response to Wallerian degeneration of the corticospinal tract.In conclusion,our data provide evidence for dynamic,pathogenic spatiotemporal changes in major cellular components of the corticospinal tract during Wallerian degeneration.

论与薄板近似和屏近似有关的几个计算问题

薄板近似与屏近似是为了实现De Wolf近似而提出的两种双域算法,广泛地应用于地震波数值模拟和偏移成像。算法实现过程中存在几个计算问题,如:F-K域空间假频问题、背景速度选取和薄板厚度划分问题、横向非均匀介质中的背景Green函数计算问题、如何处理横向非均匀性问题等。然而,针对上述计算问题的系统讨论还未见报道。针对这种现状,文中首先回顾了薄板近似法和屏近似法的具体实现。其次,对上述几个计算问题进行了系统的研究,具体为:①阐明了F-K域空间假频产生的原因,并利用纵、横向振幅衰减因子消除了空间假频现象;②对背景速度的选取进行了探究,尽可能保证薄板内整体速度扰动相对较小是背景速度选择的关键;③对比了不同薄板厚度下薄板近似法和屏近似法的正演记录和计算效率,并讨论了薄板划分的依据;④分析了背景Green函数不稳定性的原因,以及横向非均匀介质情况下的计算误差问题;⑤探讨了介质横向不均匀性对薄板近似和屏近似精度的影响,并提出了几种改善算子适应介质横向变化的方法。最后,利用三维简单层状模型和二维实际速度模型对讨论结果进行了测试。该研究结果可为薄板近似法和屏近似法在复杂介质的应用提供一定的理论基础。

Effects of rural–urban migration on vegetation greenness in fragile areas: A case study of Inner Mongolia in China

Different government departments and researchers have paid considerable atten- tion at various levels to improving the eco-environment in ecologically fragile areas. Over the past decade, large numbers of people have emigrated from rural areas as a result of the rapid urbanization in Chinese society. The question then remains： to what extent does this migra- tion affect the regional vegetation greenness in the areas that people have moved from？ Based on normalized difference vegetation index （NDVI） data with a resolution of 1 km, as well as meteorological data and socio-economic data from 2000 to 2010 in Inner Mongolia, the spatio-temporal variation of vegetation greenness in the study area was analyzed via trend analysis and significance test methods. The contributions of human activities and natural factors to the variation of vegetation conditions during this period were also quantita- tively tested and verified, using a multi-regression analysis method. We found that： （1）the vegetation greenness of the study area increased by 10.1% during 2000-2010. More than 28% of the vegetation greenness increased significantly, and only about 2% decreased evi- dently during the study period. （2） The area with significant degradation showed a banded distribution at the northern edge of the agro-pastoral ecotone in central Inner Mongolia. This indicates that the eco-environment is still fragile in this area, which should be paid close at- tention. The area where vegetation greenness significantly improved showed a concentrated distribution in the southeast and west of Inner Mongolia. （3） The effect of agricultural labor on vegetation greenness exceeded those due to natural factors （i.e. precipitation and tempera- ture）. The emigration of agricultural labor improved the regional vegetation greenness sig- nificantly.