水中Mg~(2+)的测试管快速测定

研制了一种测定水中Mg2 + 的测试管 ,测定范围为 0 .5mg/L～ 2 .0mg/L。该测试管适用于现场应急监测 ,具有快速、简便、抗干扰能力强和价格低廉等特点     

无机痕量分析中预富集技术的应用现状及前景

综述了预富集技术在无机痕量分析中的应用，概述了国内外最新进展，介绍了主要技术及方法的特点，大量文献表明预富集技术用于痕量分析取得满意的效果，降低了检测限，提高了灵敏度。     

贝类帕金虫间接酶联免疫吸附测定法的建立

采用液体巯基醋酸盐培养基(FTM)培养贝类帕金虫,以其制备抗帕金虫的免疫血清,建立一种快速检测贝类帕金虫的间接酶联免疫吸附测定法(iELISA)。方法中理想的包被抗原数量为104/mL;帕金虫抗血清最佳工作浓度1:10 000;酶标二抗工作浓度为1:1 000;进行血清敏感性测定,其最低检出限为102/mL;阻断试验中的阻断率达86.77%;板内和板间变异系数分别为2.9%和3.21%。将该方法标准化后,对30份菲律宾蛤仔体内帕金虫进行检测,所得结果与用FTM方法得到的结果进行比较,后者灵敏度要高于前者,但是在检测时间上,前者在24 h内能够完成,而后者需要7 d。     

BOD微生物传感器检测方法的研究

采用固定化微生物分散悬浮的方法，进行了BOD微生物传感器及其检测方法的研究。该传感器响应大、测量范围广、稳定性好，测定BOD时，线性响应范围为0-500mg/L，线性相关系统数达到0.99以上，且存在很好的重现性，响应时间在12min内。测定结果与BOD5标准方法具有良好的相关性，连续稳定地工作寿命在4个月以上。     

火灾中均布荷载作用下钢筋混凝土方板的极限分析

本文利用有限差分法确定了火灾时钢筋混凝土板的温度分布，并基于塑性铰线理论确定了火灾时钢筋混凝土方板的破坏机制，根据高温下混凝土和钢筋的力学性能对火灾过程中塑性铰截面的弯矩及板的极限荷载进行了分析，可为建筑结构的耐火设计提供依据。     

最小点火能的影响因素及计算误差分析研究

对可燃气体 (液体蒸气 )、可燃粉尘的最小点火能测试中的影响因素进行了分析总结 ,并结合实验分析了求得最小点火能精确值所需要的环境条件和设备设施条件———敏感条件 ;分析了敏感条件下运用常规测试方法和常规计算公式中存在较大误差的原因 ,进而提出了相对准确合理的测试方法及计算公式———直接积分法及拟合近似积分法 ,从而大大降低了误差度 ,获得了比较符合实际的数据。     

Study of lignocellulosic biomass ignition properties estimation from thermogravimetric analysis

In the last decade, the use of renewable resources has increased significantly in order to reduce the energetic dependence on fossil fuels, as they have an important contribution to the global warning and greenhouse gasses effect. Because of that, research on biofuels has been increased in the last years as its characteristics of use match those of the conventional fuel's: solid biomass can be used instead of coals, and biodiesel could replace diesel. Research on solid biomass ignition properties has been considerably developed because of the amount of industrial accidents related to the treatment and use of solid biomass (self-ignition, dust explosions, etc.). On the other hand, thermogravimetric analysis (TGA) is becoming and important characterization technique as it can be used to determine a wide spectrum of properties, such as kinetics, composition, proximate analysis, etc. This research aims to combine thermal analysis and ignition properties, by using the TGA to obtain the elemental composition of lignocellulosic biomass and compare those results to Minimum Ignition Energy (MIE) values test output, so a relation between composition and MIE can be found.To achieve this aim, biomass samples from different origins have been used: oil palm wastes (empty fruit bunches, mesocarp fiber and palm kernel shell), agricultural wastes (straw chops) and forestry wastes (wood chips and wood powder). Also, raw materials and torrefied biomass were compared. The hemicellulose/cellulose ratio was calculated and compared to different flammability properties, finding out that the greater the ratio and the lower the onset temperature (temperature at which the pyrolysis reaction accelerates), the lower was the minimum ignition energy. From this basis it was possible to define “tendency areas” that grouped the samples whose MIE values were similar. Three tendency areas were found: high minimum ignition energy, medium minimum ignition energy, and low ignition energy.     

轿厢意外移动保护的一种实现方式

主要介绍了电梯的意外轿厢移动保护功能。轿厢意外移动对乘客安全存在巨大隐患，为实现意外移动保护，利用门区及辅助轿门触点构成检测单元；AGSR及BCR检测继电器组合控制UCMR继电器，形成控制单元；UCMR继电器分别控制安全回路及抱闸回路，形成执行单元。     

Negotiating environmental agreements under ratification constraints

We analyze the impact of ratification constraints on the optimal terms of international environmental agreements (IEAs). For this, we combine the literature on IEAs with the public choice literature on two-level games. By also incorporating uncertain preferences of the pivotal voter in the ratification stage, we make several important contributions: (i) we contribute to a more realistic modeling of the temporal structure of international agreements, (ii) we show a surprising, yet intuitive non-monotonic relationship between the optimal commitment level and the variance of ratification decisions, (iii) we identify reasons to expect a larger number of countries to join international negotiations than predicted by most of the coalition formation literature based on a representative agent model. Ratification constraints thereby can improve the welfare gains from stable international agreements.     

Modeling a spatially restricted distribution in the Neotropics: How the size of calibration area affects the performance of five presence-only methods

We here examine species distribution models for a Neotropical anuran restricted to ombrophilous areas in the Brazilian Atlantic Forest hotspot. We extend the known occurrence for the treefrog Hypsiboas bischoffi (Anura: Hylidae) through GPS field surveys and use five modeling methods (BIOCLIM, DOMAIN, OM-GARP, SVM, and MAXENT) and selected bioclimatic and topographic variables to model the species distribution. Models were first trained using two calibration areas: the Brazilian Atlantic Forest (BAF) and the whole of South America (SA). All modeling methods showed good levels of predictive power and accuracy with mean AUC ranging from 0.77 (BIOCLIM/BAF) to 0.99 (MAXENT/SA). MAXENT and SVM were the most accurate presence-only methods among those tested here. All but the SVM models calibrated with SA predicted larger distribution areas when compared to models calibrated in BAF. OM-GARP dramatically overpredicted the species distribution for the model calibrated in SA, with a predicted area around 10⁶ km² larger than predicted by other SDMs. With increased calibration area (and environmental space), OM-GARP predictions followed changes in the environmental space associated with the increased calibration area, while MAXENT models were more consistent across calibration areas. MAXENT was the only method that retrieved consistent predictions across calibration areas, while allowing for some overprediction, a result that may be relevant for modeling the distribution of other spatially restricted organisms.