空气自动站监测与传统监测方法测定值的对比分析

为保证不同监测方法下监测数据的连续性、可比性以及正确判断环境空气变化规律，通过自动监测与传统的连续监测、五日法监测方法进行实验对比分析，找出传统方法与自动监测定值之间的偏差，探讨产生偏差的原因。     

起动用铅酸蓄电池试验需注意的几个问题

本文主要讨论了起动用铅酸蓄电池试验时的几个注意点以及对检验结果造成的影响。     

果胶溶液粘度的研究

本文研究了浓度、温度、酸度、Ｃａ２＋、糖等因素对果胶溶液粘度的影响，在酸度为０．９ｇＨＣｌ／１０Ｏｍｌ下来胶容液的粘度最低、而Ｃａ２＋，糖在研究的范围内对果胶溶液粘度的影响不大。     

Ultrafiltration of a polymer-electrolyte mixture

We present a mathematical model to describe the ultrafiltration behaviour of polymer-electrolyte mixtures. The model combines the proper thermodynamic forces (pressure, chemical potential and electrical potential differences) with multicomponent diffusion theory. The model is verified with experimental data on the ultrafiltration of aqueous solutions of PEG-4000 and potassium phosphate. The single solute rejection of PEG-4000 goes through a maximum as also found by others. The single solute rejection of potassium phosphate depends on the ionic strength of the solution. At low ionic strength rejections are found of 50%. Solutions containing a high concentration of PEG-4000 and potassium phosphate show a negative rejection for potassium phosphate. This is caused by the strongly non-ideal behaviour of these aqueous solutions. The model predicts the behaviour of single solute experiments quite well, but some deviations are found with the mixed solute experiments. However, negative rejections found in the mixed solute experiments are predicted by the model.     

Learning and transfer in dynamic decision environments

An important aspect of learning is the ability to transfer knowledge to new contexts. However, in dynamic decision tasks, such as bargaining, firefighting, and process control, where decision makers must make repeated decisions under time pressure and outcome feedback may relate to any of a number of decisions, such transfer has proven elusive. This paper proposes a two-stage connectionist model which hypothesizes that decision makers learn to identify categories of evidence requiring similar decisions as they perform in dynamic environments. The model suggests conditions under which decision makers will be able to use this ability to help them in novel situations. These predictions are compared against those of a one-stage decision model that does not learn evidence categories, as is common in many current theories of repeated decision making. Both models' predictions are then tested against the performance of decision makers in an Internet bargaining task. Both models correctly predict aspects of decision makers' learning under different interventions. The two-stage model provides closer fits to decision maker performance in a new, related bargaining task and accounts for important features of higher-performing decision makers' learning. Although frequently omitted in recent accounts of repeated decision making, the processes of evidence category formation described by the two-stage model appear critical in understanding the extent to which decision makers learn from feedback in dynamic tasks. Faison (Bud) Gibson is an Assistant Professor at College of Business, Eastern Michigan University. He has extensive experience developing and empirically testing models of decision behavior in dynamic decision environments.     

基础光学实验的物理思想

对基础光学实验的特点、类型和物理思想进行了归纳和概括。挖掘分散在各个实验中的物理思想，对培养学生分析和解决问题的能力，提高实验的技能、技巧，进行实验研究具有重要的意义。     

微型实验在无机化学实验中的应用

阐述了微型实验在无机化学实验中的重要性,研究了微型化学实验技术在无机化学实验教学中的应用,并取得了一定效果。     

Evaluation of the use of consensus values in proficiency testing programmes

Proficiency testing (PT) is an essential tool used by laboratory accreditation bodies to assess the competency of laboratories. Because of limited resources of PT providers or for other reasons, the assigned reference value used in the calculation of z-score values has usually been derived from some sort of consensus value obtained by central tendency estimators such as the arithmetic mean or robust mean. However, if the assigned reference value deviates significantly from the ‘true value’ of the analyte in the test material, laboratories’ performance will be evaluated incorrectly. This paper evaluates the use of consensus values in proficiency testing programmes using the Monte Carlo simulation technique. The results indicated that the deviation of the assigned value from the true value could be as large as 40%, depending on the parameters of the proficiency testing programmes under investigation such as sample homogeneity, number of participant laboratories, concentration level, method precision and laboratory bias. To study how these parameters affect the degree of discrepancy between the consensus value and the true value, a fractional factorial design was also applied. The findings indicate that the number of participating laboratories and the distribution of laboratory bias were the prime two factors affecting the deviation of the consensus value from the true value.     

土与结构间一种新接触单元的数值解

推导了基于非线性弹性-理想塑性本构模型的接触带单元的单元刚度矩阵，并对接触带厚度的确定、非线性迭代方法等数值计算中一些重要的细节问题进行了论述．最后对某一典型算例进行了分析，分析结果表明，所提出的接触带单元能够合理地模拟接触面上的变形机理和受力状态，是一种比较适用的模型，在土与结构相互作用分析中具有一定的应用前景。     

数字电路实验中CP脉冲上升沿和下降沿的正确获得

着重分析了目前数字电路实验中CP脉冲信号源的脉冲抖动问题，提出消除脉冲抖动的单一脉冲信号产生的方法．