促性腺激素释放激素和多巴胺对虹鳟(Oncorhynchus mykiss)离体脑垂体细胞分泌促性腺激素的影响

本文研究了不同性腺发育时期淡水饲养的雌雄虹鳟（Oncorhynchus mykiss)血浆促性腺激素（GTH）浓度的变化规律;以及在离体条件下,了促性腺激素释放激素（GnRH)、GnRH拮抗物和多巴胺对虹鳟脑垂体细胞分泌促性腺激素（GTH－Ⅱ）的影响,结果表明：（1）在雄性,血浆中GTH－Ⅱ的水平随性腺发育而逐渐增高;在雌性,仅排卵期血浆中GTH－Ⅱ的水平明显增高。（2）未成熟期和成熟期的雌性虹鳟脑垂体细胞对sGnRH和cGnRH刺激的敏感性表现不尽相同,成熟期和排卵后的脑垂体细胞对GnRH的刺激较为敏感,GTH－Ⅱ的分泌量较多。（3）在没有sGnRH的条件下,GnRH拮抗物对GTH－Ⅱ的分泌不发生作用,而在sGnRH的存在下,GnRH拮抗物对GTH－Ⅱ的分泌表现出浓度依赖的抑制作用。（4）在没有sGnRH的存在下,多巴胺对GTH－Ⅱ的分泌不发生作用,而当多巴胺的浓度一定时,随着sGnRH浓度的增加,GTH－Ⅱ分泌的量增大,另外,否认sGnRH还是cGnRH都不同时期的脑垂体细胞GTH－Ⅰ的分泌,这些结果可为虹鳟的人工催产提供一些理论依据。     

海洋微生物抗肿瘤活性菌株的分级组合筛选

为探索如何快速获取活性菌株的筛选模式 ,组合使用海虾生物致死法和tsFT2 10细胞的流式细胞术筛选模型 ,对从青岛前海和胶州湾潮间带海泥、动植物样品中分离的 162株海洋微生物 ,进行了抗肿瘤活性的分级组合筛选。经海虾生物致死法一级初筛 ,得到活性菌株 5 8株 (LC50 <5 0 0 μg/mL) ,阳性率为 3 5 .8%。对初筛有效的 5 8株菌利用流式细胞术筛选模型进行二级复筛 ,得到对tsFT2 10细胞有各种活性的活性菌株共 2 5株 ,阳性率为复筛菌株数的 43 .1%、初筛菌株总数的 15 .4% ,其中 ,诱发细胞坏死伴有凋亡诱导活性的菌株 7株 (占总菌株的 4.3 % ) ,具有细胞周期抑制活性的菌株 18株 (占总菌株的 11.1% )。该分级组合筛选模式与流式细胞术筛选模型的单独筛选模式相比 ,无漏筛 ,具有成本低、速度快、宜于大规模筛选等特点。     

Generalized flux law,with an application

A generalized flux law, which can specialize into power‐ and diffusive‐type flux laws, is proposed. When coupled with the continuity equation, a generalized flow equation is the result. The generalized equation specializes into several cases, one of which is the kinematic wave equation. By applying the generalized flow equation and its variants to flow routing in two rivers, the usefulness of the generalized flux law is evaluated. Copyright © 1999 John Wiley & Sons, Ltd.     

Size scaling patterns of species richness and carbon biomass for marine phytoplankton functional groups

Phytoplankton assemblages were clustered into associations according to functional taxonomic (diatoms, dinoflagellates and coccolithophores) and “ataxonomic” unimodal (nanoplankton, microplankton and macroplankton) size‐based criteria. Scaling relations of species richness‐cell size were performed in terms of histogram and log‐transformed data analyses for both taxonomic and ataxonomic groups. Frequency distribution histograms were fitted to a negative power function, which was strongly unimodal and right skewed and invariant across taxonomic and ataxonomic units. Regression analyses of the log‐transformed data were fitted to negative linear curves, which had common patterns and they were independent of taxonomic or ataxonomic affiliation. Species carbon biomass–cell size spectra produced by log transformation of the relevant data yielded positive slopes for both taxonomic and ataxonomic groups. In contrast, comparisons of the relative cell abundance, cell volume and carbon biomass levels showed large differences among these variables across taxonomic and ataxonomic groups. This work demonstrates that phytoplankton taxonomic and ataxonomic functional group relationships should be considered when developing future models of phytoplankton community structure.     

雨生红球藻细胞形态转换和藻落形成差异研究

基于雨生红球藻(Haematococcus pluvialis)培养过程中游动细胞和不动细胞的形态差异与转换,对比研究了两种细胞类型在离心收集与藻落形成效率上的差异。结果表明,雨生红球藻SCCAP K-0084在BYA培养基中培养4~6 d和9~12 d分别以绿色游动细胞与绿色不动细胞为主;早期游动细胞离心收集需要更高的离心力,但500~1 000 g离心5 min可以在不影响细胞存活率的情况下有效收获所有类型细胞;相比于传统直接涂布法,双层琼脂平板法可有效提高平板藻落形成效率,且游动细胞藻落形成效率比不动细胞藻落形成效率更高。TAP培养基由于藻落形成效率较低并不适合于雨生红球藻平板培养与筛选,自养型培养基虽然具有较好的藻落形成效率但是藻落形成速度较慢,相比而言,BYA培养基藻落形成效率较高且生长速度快,更适合用于雨生红球藻细胞的后期平板培养与筛选过程。     

土体直剪力学特性颗粒尺度效应理论与试验研究

土体是一种颗粒物质,其强度与变形特性具有显著的颗粒尺度效应。根据土体颗粒间的连结性状和微重比,将土颗粒划分为基体颗粒与加强颗粒。构建了反映土体内部材料信息和颗粒特征信息的土体胞元,基于应变梯度理论建立可以描述土体颗粒尺度效应的土体胞元模型。设计一系列饱和重塑土的直接快剪试验以研究土体直剪力学特性的颗粒尺度效应,并定量计算了土体胞元模型的应变梯度和內禀尺度等微细观计算参数。试验结果表明,土体的剪切屈服应力随加强颗粒体积比和平均应变梯度的增加而增加,且与加强颗粒体积比呈近似线性关系,与平均应变梯度呈抛物线关系;加强颗粒粒径对土体的剪切屈服应力影响不明显。土体剪切屈服应力的试验结果与土体胞元模型的预测结果一致。     

Errors prediction for vector-to-raster conversion based on map load and cell size

Vector-to-raster conversion is a process accompanied with errors.The errors are classified into predicted errors before rasterization and actual errors after that.Accurate prediction of the errors is beneficial to developing reasonable rasterization technical schemes and to making products of high quality.Analyzing and establishing a quantitative relationship between the error and its affecting factors is the key to error prediction.In this study,land cover data of China at a scale of 1:250 000 were taken as an example for analyzing the relationship between rasterization errors and the density of arc length(DA),the density of polygon(DP) and the size of grid cells(SG).Significant correlations were found between the errors and DA,DP and SG.The correlation coefficient(R2) of a model established based on samples collected in a small region(Beijing) reaches 0.95,and the value of R2 is equal to 0.91 while the model was validated with samples from the whole nation.On the other hand,the R2 of a model established based on nationwide samples reaches 0.96,and R2 is equal to 0.91 while it was validated with the samples in Beijing.These models depict well the relationships between rasterization errors and their affecting factors(DA,DP and SG).The analyzing method established in this study can be applied to effectively predicting rasterization errors in other cases as well.     

岩石非均质度对其力学性能的影响研究

根据非均质岩石参数赋值方法具有随机性的特点,以随机参数的变异系数定义岩石非均质度,推导了Weibull分布参数赋值方法的非均质度计算方法,并与形状参数进行了对比分析;推导了基于矿物细胞元参数赋值方法的岩石非均质度的计算方法;利用上述2种赋值方法研究了岩石非均质度对其力学性能的影响。研究结果表明,利用变异系数定义岩石非均质度是合理的,可用于描述不同非均质岩石模型的非均质程度;非均质岩石的力学特性由细观单元力学特性和其非均质特性共同决定,岩石的非均质性对其极限强度具有弱化影响;对于不同的非均质岩石模型,可建立相同的线性函数关系表示非均质岩石极限强度受其非均质度的影响。     

岩石矿物细胞元随机性参数赋值方法研究

数值计算中利用随机分布对各单元赋予不同的物理力学参数来考虑岩石的非均质性,赋值过程是纯随机的,并没有考虑岩石矿物组成的结构特征。故提出一种新的岩石非均质参数赋值方法--岩石矿物细胞元随机性参数赋值方法,基于岩石矿物种类及其含量定义细胞元类别判定区间,利用Monte Carlo方法对各个细胞元进行矿物类别判定,并进行相应的参数赋值,通过各矿物细胞元的随机混合体来描述岩石的非均质性。该方法既考虑了组成岩石的矿物种类及其含量（结构特征）,又考虑了组成矿物在岩石中的随机分布特征。针对矿物分布的随机特征,利用两矿物细胞元混合模型和三矿物细胞元混合模型进行数值试验,研究了矿物细胞元随机分布特征对岩石宏观力学参数的影响。研究结果表明,岩石矿物细胞元随机性参数赋值方法具有结构性和随机性的双重特性,其随机性不依赖于随机参数,岩石宏观力学参数受细胞元随机性特征的影响很小。     

Relationships between southern Chilean varved lake sediments,precipitation and ENSO for the last 600 years

In this paper, the relationships between paleo-precipitation and the regional influence of El Nino Southern Oscillation (ENSO) in South America are assessed from a high-resolution calendar varve-thickness record. Two short laminated sediment cores (53 and 61 cm length) from Lago Puyehue (40° S) are analysed by continuous varve measurements through the last 600 years. The calendar varve years are determined by the occurrence of graded planktonic-rich layers. The annual sediment accumulation rates are reconstructed by using the standard varve-counting methods on thin sections. The 1980–2000 varve-thickness record is interpreted in terms of climate through correlation with limnological and local monthly instrumental climate databases. The comparison between the standardized varve thickness with the instrumental records reveals a strong correlation (r = 0.75, р = 0.07) between the total varve thickness and the austral autumn/winter precipitation. We argue that strong austral winter winds and precipitation are the forcing factors for the seasonal turn-over and phytoplankton increase in the lake sediments. During strong El Nino events the precipitation and the winds decrease abnormally, hence reducing the thickness of the biogenic sediments deposited after the winter turn-over. Our results show one significant regional maximum peak of winter precipitation (>900 mm) in the mid 20th century and a significant period with lower winter precipitation (<400 mm) before the 15th century, i.e., the late Medieval Warm Period. The first peak in the mid 20th century is confirmed by the regional precipitation database. The influence of ENSO cycles over the last 600 years is assessed by spectral analysis in Fagel et al. (2007). The possible influence of the regional volcanism and/or the seismic activity on the local climate record is also discussed. This is the sixth in a series of eight papers published in this special issue dedicated to the 17,900 year multi-proxy lacustrine record of Lago Puyehue, Chilean Lake District. The papers in this special issue were collected by M. De Batist, N. Fagel, M. -F. Loutre and E. Chapron.