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。     

长江堤防工程地质信息处理模型及技术方法

长江中下游的主要防洪工程是长江干堤 ,长江堤防线路长、工程浩大、堤基工程地质水文地质条件复杂 ,涉及大量的已有地质数据和资料。今后在整治加固堤防的工程地质勘察工作中 ,还需随时进行数据的收集、存储、检索、分析、统计和维护 ,随时调用这些数据进行综合处理、编制报告和图件 ;在防汛期间可以针对堤防险工险段的险情 ,随时查询和调用有关的资料、数据或者图件 ,提供采取抢险措施决策的地质依据。这既提高了地质数据的利用价值和利用率 ,又保证了信息的准确性、完整性和共享性。因此 ,建立合理的长江堤防工程地质信息处理模型及其成熟的技术方法具有重要的意义。     

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。     

化工原理教学中突出工程思维的培养

化工原理是一门实践性、工程性很强的应用课程。教学实践中应注重培养学生的工程思维、工程意识、分析工程问题、解决工程问题的能力。本文从工程研究方法的角度探讨对学生工程思维的培养问题。     

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.     

在工程图学教学中强化素质教育的思考

知识经济社会需要大学生具备良好的思想道德,深厚的文化修养,扎实的业务能力和健康的心理.提出工程图学教学在素质教育中的作用,以及在工程图学教学中如何进一步强化素质教育的观念和方法.     

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。