Quantification of human amniotic fluid constituents by high resolution proton nuclear magnetic resonance (NMR) spectroscopy

We have investigated the ability of high-resolution proton NMR spectroscopy to provide a biochemical constituent screening of human amniotic fluid (AF). Proton NMR spectra were obtained at 300 MHz on AF from patients undergoing amniocentesis in the mid-trimester. Only AF from normal pregnancies (normal fetal karyotype, normal a-fetoprotein levels, normal birth outcome) was used in this study. The AF supernatant was lyophilized and resuspended in deuterated water containing 0.1 mm phosphate buffer and 6.02 mm disodium maleate. Identification of low molecular weight compounds was confirmed by two-dimensional NMR spectra (primarily correlated spectroscopy, or COSY) and standard addition techniques. A broad profile of compounds were ‘NMR visible’ in a single proton spectrum, including creatinine, glucose, organic acids (acetate, citrate, and lactate) and several amino acids (alanine, histidine, leucine, phenylalanine, tyrosine and valine). The proton spectrum was unaffected by prior freezing/thawing of AF samples. We were able to quantify compounds by comparison with an added concentration standard (maleate) at concentrations as low as 30 μm. Good agreement with literature values based on other analytical techniques was obtained.     

超细煤矸石矿粉作天然橡胶补强填充剂的性能研究

以煤矸石为原料，通过超细粉碎、表面改性等深度加工，制取了一种新的橡胶补强剂，并对煤矸石作补强剂影响因素进行初步的研究，实验表明它能够取代或部分取代炭黑用作天然橡胶的补强剂。     

DENSITY CURRENT INTRUSIONS IN AN ICE-COVERED URBAN LAKE1

ABSTRACT: Evidence is presented that snowmelt runoff from an urban watershed can produce density current intrusions (underflows) in a lake. Several episodes of density current intrusions are documented. Water temperatures and salinities measured near the bottom of a 10 m deep Minneapolis lake during the late winter warming periods in 1989, 1990, 1991, and 1995 show significant rapid changes which are correlated with observed higher air temperatures and snowmelt runoff. The snowmelt runoff entering this particular lake (Ryan Lake) has increased electrical conductivity, salinity, and density. The source of the salinity is the salt spread on urban streets in the winter. Heating of littoral waters in spring may also contribute to the occurrence of the sinking flows, but is clearly not the only cause.     

TEMPORAL CHANGES IN THE YADKIN RIVER FLOW VERSUS SUSPENDED SEDIMENT CONCENTRATION RELATIONSHIP1

ABSTRACT: Dynamic linear models (DLM) and seasonal trend decomposition (STL) using local regression, or LOESS, were used to analyze the 50‐year time series of suspended sediment concentrations for the Yadkin River, measured at the U.S. Geological Survey station at Yadkin College, North Carolina. A DLM with constant trend, seasonality, and a log₁₀ streamflow regressor provided the best model to predict monthly mean log₁₀ suspended sediment concentrations, based on the forecast log likelihood. Using DLM, there was evidence (odds approximately 69:1) that the log₁₀ streamflow versus log₁₀ suspended sediment concentration relationship has changed, with an approximate 20 percent increase in the log₁₀ streamflow coefficient over the period 1981 to 1996. However, sediment concentrations in the Yadkin River have decreased during the decade of the 1990s, which has been accompanied by a concomitant increase in streamflow variability. Although STL has been shown to be a versatile trend analysis technique, DLM is shown to be more suitable for discovery and inference of structural changes (trends) in the model coefficient describing the relationship between flow and sediment concentration.     

喀斯特坡地地表径流系数监测初报

通过对喀斯特坡地6种不同土地利用条件下径流小区的地表径流和植被穿透雨量以及地下水出口水位变化进行野外定点连续观测研究,结果表明,6个径流小区地表径流系数均非常小,介于0.01%~12.81%。显然,喀斯特坡地的地表径流易于入渗转化为地下径流。受人为活动影响较大的径流小区,地表径流系数随降雨量的变化呈指数函数型变化特征,容易产生地表径流系数的突变式增长。     

人工神经网络在预测深基坑周边地表沉降变形中的应用研究

深基坑开挖引起的周边地表变形预测是一个复杂非线性问题,引起地表沉降的影响因素很多,各因素之间呈高度的非线性关系。传统的基坑用边地表沉降变形预测方法存在着一定的局限性,其预测精度有待提高,而人工神经网络是一种多元非线性动力学系统,可以灵活方便地对多成因的复杂未知系统进行高度建模,实现全面考虑各种主要影响因素的深基坑周边地表沉降变形预测。本文介绍了误差反向传播(BP)网络模型的结构、学习过程及其算法的改进,径向基函数(RBF)网络模型的结构及其学习过程;分析了影响深基坑开挖周边土体沉降变形的主要影响因素;以25个基坑工程的地表沉降实测资料为训练样本,建立了11个输入影响因素的BP神经网络模型和RBF神经网络模型,通过对样本的学习训练过程及对5个检验样本的预测精度,说明了人工神经网络用于预测基坑周边地表沉降的可行性和准确性。     

利用细菌表面展示技术构建镉耐受性的重组根瘤菌

通过细菌表面展示功能基因InaXN、猴金属硫蛋白α亚基四聚体MT4α和两种启动子PnifH及Plac元件,分别构建两个重组质粒pTNIM和pBLIM.进一步通过三亲本杂交,将重组质粒分别导入费氏中华根瘤菌HN01,分别构建获得诱导表达型重组菌HN01(pTNIM)和组成表达型重组菌HN01(pBLIM).在培养条件下比较测定重组菌和出发菌对镉的吸附能力和耐受性,结果表明,组成表达型重组菌HN01(pBLIM)在上述两个方面的能力得到明显增强,对镉的吸附富集能力提高了2倍.研究还发现重组根瘤菌也具有很好的静态吸附效果.盆栽实验结果表明,接种诱导表达型重组菌HN01(pTNIM)的大豆根瘤和根中Cd2+的富集量均明显高于野生菌株HN01.本实验为后续探索重组根瘤菌与宿主植物共生体系在Cd2+污染土壤修复中的应用前景奠定了基础.     

响应曲面法优化絮凝处理木薯淀粉废水

采用中心复合实验设计和响应面分析法研究复合絮凝剂聚合氯化铝锌(PAZC)和聚合氯化铝(PAC)混凝处理木薯淀粉废水,进行设计和分析,以溶液pH值和絮凝剂用量为考察因素,分别以COD、浊度去除率为考察指标,选用最佳优化数学模型描述考察指标和考察因素之间的数学关系,并以设定PAZC和PAC对COD去除率(65%),浊度去除率(90%)和SS去除率(90%)的目标值,通过等高线叠加图预测最优实验条件,得到PAZC投量为6.5 mg/L,pH为7.7时,COD去除率和浊度去除率分别达到最大为76.6%和99.9%;PAC投量为19.2 mg/L,pH为7.8时,COD去除率和浊度去除率最大值分别为64.4%和97.1%。经对最优条件进行验证,预测值与验证实验平均值接近。     

Impact of continental margins in the Mediterranean Sea: Hints from the surface colour and temperature historical record

The surface colour and temperature fields of the Mediterranean Sea, as appearing in time series, of basin-wide images available in the CZCS (1979–1985) and AVHRR (1982–1991) historical archives, differentiate between basin interior and continental margins affected by coastal patterns, river plumes, and mesoscale features. The original data were processed to apply calibration factors, to correct for atmospheric contamination, and to estimate chlorophyll-like pigment concentration and surface temperature. Composites were derived, as monthly and annual means, using a fixed equal-area projection with a 1-km² pixel grid. Enhanced pigment values and lower temperatures along the northern coastal areas (i.e. the Ligurian, Provençal and Balearic basins, as well as the Adriatic, and Aegean Seas) have been associated with the impact of runoff from continental margins (i.e. both a direct impact due to the sediment load and one induced on the planktonic flora by the associated nutrient load) and with vertical mixing due to the prevailing winds (i.e. the Mistral in the northwest, the Bora in the Adriatic, the Etesians in the Aegean). The pattern of increasing pigments and decreasing temperatures in seen to develop in the monthly images from the coastal zone towards the open sea from summer to winter, and then back from winter to summer. The southern coastal areas show different values, namely lower pigments and higher temperatures (except in areas where the data are altered by signal contamination). It is suggested that differences in geomorphology and meteorology of the basin margins have an impact on both water biogeochemistry and dynamics, influencing the biooptical and thermal properties of the various sub-basins, and of the entire Mediterranean region.