谈特殊病区HIV患者集中静脉采血

目的总结高效率集中采集HIV患者静脉血标本.方法回顾性总结389例患者静脉采血,从采血前准备、怎样选择静脉、采血时的体位配合,到扎止血带、穿刺技巧、拔针,以及防标本溶血,预防职业暴露及交叉感染.结果一次性成功采血89.5%,标本符合要求100%,未发生职业暴露及交叉感染.结论从吸毒的艾滋病患者静脉采血难于常人,采血过程及其前后准备与处理均须?小心谨慎.参4.     

吸气式感烟火灾探测系统采样管网模拟仿真

通过对吸气式感烟火灾探测系统采样管网进行流体力学分析,建立了采样管网系统力学数学模型,采用了面向对象的编程技术,编制了工程管网设计模拟仿真软件,实现各采样点的探测灵敏度及探测响应时间的计算和对采样孔径的优化调整,在实际应用中取得良好效果。     

ICP-AES测定电镀污泥中的金和钯

介绍了含贵金属电镀污泥的样品采集、制备和预处理方法,并对有关问题进行了讨论.研究了电感耦合等离子体-原子发射光谱(ICP-AES)直接测定电镀污泥中微量金、钯的分析方法.结果表明:在选定的最佳仪器工作条件下,金、钯的检出限分别为0.015和0.018 mg/L,加标回收率为94.0%～104.0%,相对标准偏差小于3%.该方法可用于电镀污泥中微量金、钯的测定      

A foundation for developing a methodology for social network sampling

Researchers are increasingly turning to network theory to understand the social nature of animal populations. We present a computational framework that is the first step in a series of works that will allow us to develop a quantitative methodology of social network sampling to aid ecologists in their social network data collection. To develop our methodology, we need to be able to generate networks from which to sample. Ideally, we need to perform a systematic study of sampling protocols on different known network structures, as network structure might affect the robustness of any particular sampling methodology. Thus, we present a computational tool for generating network structures that have user-defined distributions for network properties and for key measures of interest to ecologists. The user defines the values of these measures and the tool will generate appropriate network randomizations with those properties. This tool will be used as a framework for developing a sampling methodology, although we do not present a full methodology here. We describe the method used by the tool, demonstrate its effectiveness, and discuss how the tool can now be utilized. We provide a proof-of-concept example (using the assortativity measure) of how such networks can be used, along with a simulated egocentric sampling regime, to test the level of equivalence of the sampled network to the actual network. This contribution is part of the special issue “Social Networks: new perspectives” (Guest Editors: J. Krause, D. Lusseau and R. James).     

Atmospheric particulate matter in Nigerian megacities

The paucity of data on air pollution indices in Nigeria prompted us to commence a national screening exercise regarding particulate matter loads. Six potential megacities (Aba, Abuja, Lagos, Kano, Maiduguri, and Port-Harcourt) representing the six geographical zones in Nigeria were chosen for the study. Sampling was achieved using a ‘Gent’ stacked filter unit sampler capable of collecting fractions of particulate matter with sizes of <10-μm and <2.5-μm simultaneously. The mean values for PM₁₀ are 550, 35, 87, 340, 246 and 130 μg m^?3 while for PM_2.5 the mean values are 100, 14, 25, 67, 20 and 30 μg m^?3 respectively for Aba, Abuja, Lagos, Kano, Maiduguri, and Port-Harcourt. Except for Abuja, the daily PM₁₀ mass loads exceeded the World Health Organization (WHO) guidelines daily limit where as the PM_2.5 values were within the WHO guideline limit. Their correlation matrix result indicates that some PM_2.5 fractions mass fractions were strongly correlated than the PM₁₀ fractions probably due to their long range transport potentials. Further work is in progress to determine the elemental profiles of both particulate fractions collected.     

Air monitoring of solvent exposed workers with passive samplers in comparison to “biological monitoring (BM)"†

A study was performed comparing ambient air monitoring (AM) and biological monitoring (BM) in order to evaluate the reliability of passive sampling (PS) in occupational medicine.

Five groups of persons (total number = 188) exposed to tetrachloroethene, isopropanol, toluene, xylene and styrene at the workplace were examined.

AM was performed over several hours using one or two brands of passive samplers (Monitor 3500 and/or ORSA 5). BM includes the determination of the solvent and specific metabolites resp. in blood or urine samples taken at the end of workshift. On the basis of our results we recommend that PS can supply relevant data for the estimation of external exposure to several solvents like chlorinated‐ and aromatic‐hydrocarbons.     

顺序进样流动注射光度法测定水中氨氮

将顺序进样与流动注射分光光度法相结合,研发了氨氮自动在线检测仪,用于测定水中氨氮质量浓度.实验结果表明:当进样量为0.39 mL、显色剂体积为0.33 mL、停留时间为5 min、载流液流量为2.0 mL/min时,氨氮质量浓度p与吸光度A在氨氮质量浓度为0～ 15.00 mg/L的范围内呈良好的线性关系,标准工作曲线方程为A=0.01929+ 0.2362,相关系数为0.9993(n=11);检出限为0.020 mg/L;相对标准偏差为0.50％～2.38％;实际水样的加标回收率为94.5％～106.0％.     

基于先验信息的产品质量安全多阶段抽样方法研究

产品安全问题与消费者的人身健康和财产安全息息相关,关系到社会和谐稳定和经济可持续发展,已经成为政府、企业和社会公众高度关注的重要问题之一。监管部门的监管方式是通过直接从市场上购买某类产品或其重要部件,采用质量安全检测技术,发掘产品存在的安全风险。为降低样本量,采用了产品安全事故先验信息分析方法,并给出了获取先验信息的重要途径。其次,在抽样方案设计过程中,将产品抽样检测分成多个阶段,利用分批购买-分批检测的方法,动态调整样品分配,提高了发现产品安全风险的效率。最后,利用消费者协会提供的电视机投诉数据,对以上多阶段目的抽样方案进行了示例说明。     

多重密度布点对土壤有机质空间特性的解析

论文以张家港市耕层土壤有机质（Soil organic matter, SOM）为目标变量,通过网格布点建立11种样点密度梯度,运用经典统计学和地统计学方法研究其空间特性随布点密度变化的趋势规律。结果表明,各密度下SOM的变异系数稳定在21.70%~23.12%之间,表现出中等程度变异;随着布点密度降低,SOM的块基比和分维数分别由37.52%、1.838波动降至18.70%、1.714,Moran’s I则由0.485起伏升高至0.857,相应地其空间变异中结构变异组分增多、随机变异贡献减少,空间自相关性也逐渐增强;SOM呈现西南-东北递减分布,随着样点密度减小,其空间格局趋于简化。论文以布点密度为视窗,揭示了SOM的多重空间尺度特征,可为解析土壤属性的层级结构提供参考依据。     

Comparison of sensitivity analysis techniques: A case study with the rice model WARM

The considerable complexity often included in biophysical models leads to the need of specifying a large number of parameters and inputs, which are available with various levels of uncertainty. Also, models may behave counter-intuitively, particularly when there are nonlinearities in multiple input-output relationships. Quantitative knowledge of the sensitivity of models to changes in their parameters is hence a prerequisite for operational use of models. This can be achieved using sensitivity analysis (SA) via methods which differ for specific characteristics, including computational resources required to perform the analysis. Running SA on biophysical models across several contexts requires flexible and computationally efficient SA approaches, which must be able to account also for possible interactions among parameters. A number of SA experiments were performed on a crop model for the simulation of rice growth (Water Accounting Rice Model, WARM) in Northern Italy. SAs were carried out using the Morris method, three regression-based methods (Latin hypercube sampling, random and Quasi-Random, LpTau), and two methods based on variance decomposition: Extended Fourier Amplitude Sensitivity Test (E-FAST) and Sobol’, with the latter adopted as benchmark. Aboveground biomass at physiological maturity was selected as reference output to facilitate the comparison of alternative SA methods. Rankings of crop parameters (from the most to the least relevant) were generated according to sensitivity experiments using different SA methods and alternate parameterizations for each method, and calculating the top-down coefficient of concordance (TDCC) as measure of agreement between rankings. With few exceptions, significant TDCC values were obtained both for different parameterizations within each method and for the comparison of each method to the Sobol’ one. The substantial stability observed in the rankings seem to indicate that, for a crop model of average complexity such as WARM, resource intensive SA methods could not be needed to identify most relevant parameters. In fact, the simplest among the SA methods used (i.e., Morris method) produced results comparable to those obtained by methods more computationally expensive.