计算机程序-多波长直线回归法测定牙周康胶囊中的甲硝唑和芬布芬

研究建立计算机程序一多波长直线回归法,以测定药品牙周康胶囊中甲硝唑和芬布芬的含量.在277.0 nm～318.0 nm波长范围内,选择42个波长点进行测定;采用计算机多波长直线回归程序计算;不经分离,直接测定牙周康胶囊中甲硝唑和芬布芬的含量.两者的平均回收率和相对标准偏差,分别为98.3%,0.75%和98.9%,1.0%.本方法简单、快速、准确、适用于控制牙周康胶囊的质量.     

衍生光谱法快速测定复方甲硝唑注射液中氯霉素和甲硝唑的含量

创立了复方甲硝唑注射液中氯霉素和甲硝唑的衍生光谱快速测定法。用计算机Excel绘制氯霉素和甲硝唑的衍生光谱,选择其峰点236.0 nm和交点223.0 nm为测定波长,可排除两组分的互相干扰,直接测定复方甲硝唑注射液中两组分的含量。氯霉素的比耳线性范围为(9.890～32.13)μg/mL,r=0.9995;甲硝唑为(10.09～30.28)μg/mL,r=0.9992。氯霉素和甲硝唑的平均回收率和相对标准偏差分别100.4%,1.3%和100.8%,0.68%。新方法简便、快速、准确,适用于医院制剂复方甲硝唑注射液的质量检测。     

系数倍率法测定复方甲硝唑注射液中氯霉素和甲硝唑的含量

建立复方甲硝唑注射液中氯霉素和甲硝唑的系数倍率测定法.用BASIC语言编制程序选择最佳测定波长对,以消除二组分的相互干扰,不经提取分离同时测定复方甲硝唑注射液中氯霉素和甲硝唑的含量.氯霉素的比尔线性范围为9.890-32,13 μg/ml,r=0.9995;甲硝唑的比尔线性范围为10.09-30.28 μg/ml,r=O.9992.复方甲硝唑注射液中氯霉素和甲硝唑的平均回收率和相对标准偏差分别为100.2%,1.1%和100.8%,1.3%.该方法简便、快速、重现性好、准确度高,可用于复方甲硝唑注射液的质量控制.     

程序控制顺序注射快测盐酸异丙肾上腺素

在碱性条件下,4-硝基重氮苯与盐酸异丙肾上腺素发生偶合反应,生成一种黄绿色产物。基于这一原理,建立了顺序注射分光光度法快速测定盐酸异丙肾上腺素的新方法。通过计算机控制系统程序,数据的采集和处理用FIAlab5.0软件进行。系统研究了顺序注射控制程序、进样顺序、反应管及流速、多种试剂的注入体积和浓度的影响以及pH值的影响。在最佳条件下,方法的线性范围是0.050～1.0μg/mL,检出限为0.03μg/mL,每小时可进样36次,每次分析仅消耗试剂0.105mL。相对标准偏差为3.0%(0.8μg/mL盐酸异丙肾上腺素,n=11)。干扰实验发现,一些常见的化学物质和药物添加剂不影响测定,本方法已用于水样、尿样、药物中异丙肾上腺素的测定,回收率在96.3%～103%之间。t-检测证明与药物标示量相符。     

两种尿酸生物传感器的研制和比较

将大白鼠肝脏切片和尿酸酶分别固定在不同氧电极上,制成尿酸组织电极和酶电极,研究了它们的测试条件、分析性能和应用情况.结果:组织电极的最佳测试条件为33℃,pH=9,Tris-HCl缓冲溶液,线性范围3.33～56.67μg/mL,K_M=3.3×10~(-4)mol/L;酶电极的最佳测试条件为28℃,pH=8.8,Na_2B_4O_7-(NH_4)_2SO_4缓冲溶液,线性范围6.67～133.3μg/mL,K_M=2.8×10~(-4)mol/L.二种电极测量值的变异系数均小于4%,电极性能各有优缺点.用它们测定质量控制血清,测量值均在示值范围内,有望应用于临床.     

胱胺自组装膜压电免疫传感器用于抗胰蛋白酶的测定

该文研制成一种基于胱胺自组装测定抗胰蛋白酶的压电免疫传感器.应用胱胺在石英晶体表面自组装一带有氨基的自组装膜,通过戊二醛交联,成功地固定抗胰蛋白酶抗血清,并用于抗胰蛋白酶的测定.详细考察了胱胺自组装情况,抗体包被和免疫反应的主要实验条件以及传感器的响应性能.在优化的实验条件下,传感器响应的线性范围0.23～23.9μg/mL,回归方程Y=44.25+12.47X,相关系数r=0.9933.     

诺氟沙星荧光敏感膜的研究

研制了对诺氟沙星有可逆响应的荧光敏感膜,将合成的亲脂性荧光试剂(环己基氨基,环己基亚氨基)芘丁酸甲酯,固定于醋酸纤维素中作为分析物识别器,测定诺氟沙星浓度。方法的回收率为97.7%～102.5%,日内、日间 RSD 为1.1%～2.7%,在5.0～80.0μg/mL 浓度范围内呈线性,相关系数0.9997,最低检出限为0.552μg/mL。     

基于荧光多元猝灭响应原理膜传感器测定正己烷中的噻吩

用溶胶 凝胶法制备光纤化学传感器测定正己烷中噻吩的浓度 ,在 1 0 .6～ 2 6 5μg/mL浓度范围内与lg(F0 /F) )成线性 ,相关系数为 0 .9984。检出限为 1 0 .6 μg/mL ,该方法的平均回收率为 1 0 5.0± 7.7%。     

游离胆备醇酶传感器的研制

本文初步研制了一种测定游离胆固醇的酶传感器。该传感器用于流动注射法的最佳工作条件:磷酸盐缓冲液作载液(pH=6.3,0.1mol/L),流动速度为0.5mL/min,温度为27℃,检测限为0.15mg/mL～1.14mg/mL,线性响应范围0.25～1.00mg/mL,斜率0.08μA·mL/mg,响应时间为0.5～2.0min,工作寿命15d。已将该传感器用于样品分析,取得初步满意的结果。     

畜禽精饲料中氯化物测定

畜禽精饲料的配合成分中氯化物是其中必需组分之一.该文采用氯离子选择性电极测定饲料中的氯化物,方法灵敏、稳定、选择性高.检出限小于5.0 mg/L,标准曲线最佳线性范围5.0 mg/L～350 mg/L;线性相关系数(r)0.999 9,RSD 4%.平均加标回收96.7%～110%.     

European Community policy and the market

Abstract This paper starts with some reflections on the policy considerations and priorities which are shaping European Commission (EC) research programmes. Then it attempts to position the current projects which seek to capitalise on information and communications technologies for learning in relation to these priorities and the apparent realities of the marketplace. It concludes that while there are grounds to be optimistic about the contribution EC programmes can make to the efficiency and standard of education and training, they are still too technology driven.     

一种自适应子融合集成多分类器方法

融合集成方法已经广泛应用在模式识别领域,然而一些基分类器实时性能稳定性较差,导致多分类器融合性能差,针对上述问题本文提出了一种新的基于多分类器的子融合集成分类器系统。该方法考虑在度量层融合层次之上通过对各类基多分类器进行动态选择,票数最多的类别作为融合系统中对特征向量识别的类别,构成一种新的自适应子融合集成分类器方法。实验表明,该方法比传统的分类器以及分类融合方法识别准确率明显更高,具有更好的鲁棒性。     

煤矿井下安全监控分站的设计及其仿真实现

为了设计一种具有低成本、低功耗、易操作、功能强且可靠性高的煤矿井下安全分站,针对煤矿安全生产实际,文章提出了采用MCS-51系列单片机为核心、具有CAN总线通信接口的煤矿井下安全监控分站的设计方案;首先给出煤矿井下安全监控分站的整体构架设计,然后着重阐述模拟量输入信号处理系统的设计过程,最后说明单片机最小系统及其键盘、显示、报警、通信等各个组成部分的设计;为验证设计方案的可行性与有效性,使用Proteus软件对设计内容进行仿真验证,设计的煤矿井下安全监控分站具有瓦斯、温度等模拟量参数超标报警功能和电机开停、风门开闭等开关量指示功能;仿真结果表明:设计的煤矿井下安全监控分站具有一定的实际应用价值.     

Explanation and prediction: an architecture for default and abductive reasoning

Although there are many arguments that logic is an appropriate tool for artificial intelligence, there has been a perceived problem with the monotonicity of classical logic. This paper elaborates on the idea that reasoning should be viewed as theory formation where logic tells us the consequences of our assumptions. The two activities of predicting what is expected to be true and explaining observations are considered in a simple theory formation framework. Properties of each activity are discussed, along with a number of proposals as to what should be predicted or accepted as reasonable explanations. An architecture is proposed to combine explanation and prediction into one coherent framework. Algorithms used to implement the system as well as examples from a running implementation are given.     

View-based model-driven architecture for enhancing maintainability of data access services

In modern service-oriented architectures, database access is done by a special type of services, the so-called data access services (DAS). Though, particularly in data-intensive applications, using and developing DAS are very common today, the link between the DAS and their implementation, e.g. a layer of data access objects (DAOs) encapsulating the database queries, still is not sufficiently elaborated, yet. As a result, as the number of DAS grows, finding the desired DAS for reuse and/or associated documentation can become an impossible task. In this paper we focus on bridging this gap between the DAS and their implementation by presenting a view-based, model-driven data access architecture (VMDA) managing models of the DAS, DAOs and database queries in a queryable manner. Our models support tailored views of different stakeholders and are scalable with all types of DAS implementations. In this paper we show that our view-based and model driven architecture approach can enhance software development productivity and maintainability by improving DAS documentation. Moreover, our VMDA opens a wide range of applications such as evaluating DAS usage for DAS performance optimization. Furthermore, we provide tool support and illustrate the applicability of our VMDA in a large-scale case study. Finally, we quantitatively prove that our approach performs with acceptable response times.     

A pragmatic multi-method investigation of discrepant technological events: Coping,attributions, and ‘accidental’ learning

Discrepant technological events or situations that entail a problem, a misunderstanding or a difficulty with the Information Technology (IT) being employed, are common in the workplace, and can lead to frustration and avoidance behaviors. Little is known, however, about how individuals cope with these events. This paper examines these events by using a multi-method pragmatic approach informed by coping theory. The results of two studies – a critical incident study and an experiment – serve to build and test, respectively, a theoretical model that posits that individuals use a variety of strategies when dealing with these events: they experience negative emotions, make external attributions, and adopt engagement coping strategies directed at solving the event, eventually switching to a disengagement coping strategy when they feel they have no control over the situation. Furthermore, users’ efforts may result in ‘accidental’ learning as they try to overcome the discrepant IT events through engagement coping. The paper ends with a discussion of the results in light of existing literature, future opportunities for research, and implications for practice.     

Three Process Perspectives: Organizations, Teams, and People

This paper provides the author's personal views and perspectives on software process improvement. Starting with his first work on technology assessment in IBM over 20 years ago, Watts Humphrey describes the process improvement work he has been directly involved in. This includes the development of the early process assessment methods, the original design of the CMM, and the introduction of the Personal Software Process (PSP)^SM and Team Software Process (TSP){^SM}. In addition to describing the original motivation for this work, the author also reviews many of the problems he and his associates encountered and why they solved them the way they did. He also comments on the outstanding issues and likely directions for future work. Finally, this work has built on the experiences and contributions of many people. Mr. Humphrey only describes work that he was personally involved in and he names many of the key contributors. However, so many people have been involved in this work that a full list of the important participants would be impractical.     

The Distributed Time-Triggered Simulation Scheme: Core Principles and Supporting Execution Engine

Distributed real-time simulation is a young technology field but its practice is under increasing demands. In recent years the author and his collaborators have been establishing a new approach called the distributed time-triggered simulation (DTS) scheme which is conceptually simple and easy to use but widely applicable. The concept was initiated in the course of developing a new-generation object-oriented real-time programming scheme called the time-triggered message-triggered object (TMO) programming scheme. Some fundamental issues inherent in distributed real-time simulation that were learned during recent experimental studies are discussed along with some approaches for resolving the issues. An execution engine developed to support both the TMOs engaged in control computation and the TMOs engaged in DTS is also discussed along with its possible extensions that will enable significantly larger-scale DTSs.     

Software-Konfigurationsmanagement in großen Softwareprojekten

Zusammenfassung Mit zunehmender Größe der Softwaresysteme verschärfen sich die für die Software-Herstellung typischen Probleme: Beherrschen großer Objektmengen, Erhalten der Systemkonsistenz, Kontrolle der ständigen Änderungseinflüsse und Gewährleisten einer langen Lebensdauer. Die Disziplin Konfigurationsmanagement bildet den methodischen Ansatz, diese Probleme besser zu beherrschen. Software-Konfigurationsmanagement faßt die Herstellung von Softwaresystemen als eine Abfolge von kontrollierten Änderungen an gesicherten Zwischen- und Endergebnissen auf. Dargestellt werden die Objekte und Funktionen des Software-Konfigurationsmanagements sowie die hierfür in großen Software-Projekten benötigten Methoden, Instanzen und Hilfsmittel.     

基于复小波噪声方差显著修正的SAR图像去噪

提出了一种基于复小波域统计建模与噪声方差估计显著性修正相结合的合成孔径雷达(Synthetic Aperture Radar,SAR)图像斑点噪声滤波方法。该方法首先通过对数变换将乘性噪声模型转化为加性噪声模型,然后对变换后的图像进行双树复小波变换(Dualtree Complex Wavelet Transform,DCWT),并对复数小波系数的统计分布进行建模。在此先验分布的基础上,通过运用贝叶斯估计方法从含噪系数中恢复原始系数,达到滤除噪声的目的。实验结果表明该方法在去除噪声的同时保留了图像的细节信息,取得了很好的降噪效果。