确保实验室质量控制有效性的措施分析

按照实验室质量控制的不同类别,从实验室质量控制的项目选择、方法确定、结果评价等3个主要方面的影响因素进行分析,以确保质量控制工作的有效性,达到对检测工作稳定性和可靠性的监测、控制。     

顶空气相色谱法测定6-APA中多种溶剂残留量

<正>6-APA由青霉素钾盐酶化裂解而成,是生产半合抗青霉素类抗生素的重要中间体。由于该药品在生产工艺过程中涉及到丙酮、丁醇等多种溶剂,且中国药典2010对溶剂残留限量作了具体的规定,因此建立一种快捷、灵敏、准确的方法检测6-APA中多种溶剂残留量,对于提高产品质量及控制后序产品中的杂质有一定的意义。     

浅谈对影响检测结果准确性和可靠性诸因素的控制

目的:对影响检测结果准确性和可靠性主要因素的进行控制。方法:运用过程方法的理论分析"检测"这一过程,确定影响检测结果准确性和可靠性的主要因素,采取适当方式对各种影响因素进行控制。结果:对影响检测结果的"人"、"机"、"料"、"法"、"环"、"测"等因素实施有效控制,是确保检测结果准确性和可靠性的有力措施。结论:采用适当的方法对检验结果的准确性和可靠性进行评价,及时发现诸影响因素存在的问题,积极采取有效的纠正和预防措施,将使检测工作质量不断改进和提高。     

浅谈青霉素的生产工艺过程

青霉素是一种重要的抗生素,青霉素发酵属单一纯菌种发酵,青霉素生产菌制备是青霉素发酵过程的关键环节,生产菌种的质量是影响发酵生产水平的重要因素。在生产过程中既要有优良的菌种,又要有良好的培养条件才能获得高质量的种子。下面对有关青霉素的发酵工艺进行介绍。     

美洛培南的合成研究

碳青霉烯类抗生素由于与青霉素类和头孢菌素类抗生素骨架结构上的区别,具有能有效穿透细胞、对G+菌和G-菌、需氧菌、厌氧菌都有很强的抗菌活性且对多种β-内酰胺酶稳定及抗菌谱广泛的特点。本文介绍已上市碳青霉烯类抗生素美洛培南,它是对DHP-I稳定可单独使用的碳青霉烯类抗生素。     

浅谈影响金属材料拉伸试验检测结果的主要因素

通过对实际工作中遇到的影响材料拉伸试验检测结果的主要因素分析,提出检验过程中减少这些因素的方法,以提高拉伸实验数据的准确性。     

影响气体流量计检定结果的因素分析

在气体流量计检定过程中,检定人员、设备、环境条件和检测方法等都将对流量计的检定结果产生一定影响,现就这几个影响因素加以分析,以期得到准确可靠的检测结果。     

机动车检测结果的质量控制优化研究

机动车检测结果质量关乎着车辆行驶安全与驾驶员的生命安全,文章简要阐述了机动车检测结果质量控制的基本原则,并结合其关键影响因素,提出通过加强期间检验核查、强化重复性对比工作与健全监测结果质量管理体系提高检测结果质量水平。在机动车检测结果控制中应特别重视设备定期维护与升级工作,同时在国家相关检测标准规范下开展工作,做好持续性监督管理工作,以提高机动车检测结果质量,增强公众对检测工作的信任和认可,促进机动车行业的健康发展。     

计量检定机构质量记录的管理

计量检定机构建立并保存记录，以提供符合要求的质量管理体系有效运行的证据。特别是每一份检定、校准或检测记录都包含着许多信息．有利于分析影响不确定度的因素．并使检定、校准或检测在尽可能与原条件接近的条件下复现。记得有这样一个案例：一家企业的锅炉发生爆炸事故．造成司炉人员死亡，     

注射用丹参（冻干）总酚测定方法稳定性研究

目的：为了更好的控制注射用（冻干）的质量,对原质量标准中总酚的测定方法的稳定性进行研究,通过不同试验温度条件下含量测定结果的对比和显色完成后测试溶液稳定性试验来确定不稳定因素存在,造成总酚含量测量结果不稳定,将造成此方法多次检测的不稳定。     

The impact of credit supply shocks and a new Financial Conditions Index based on a FAVAR approach

This paper investigates the impact of credit supply shocks on the macroeconomy and estimates a new financial conditions index. We calculated two credit supply factors using a time-varying parameter FAVAR model. The first factor is identified as the willingness to lend, while the second factor is the lending capacity. The impact of these two types of shocks and their changes over time is examined using Hungarian data. The two types of lending shocks affect macro variables rather differently: a positive lending capacity shock (in a banking system mostly owned by non-residents) influences GDP through a decrease in country risk and the easing of monetary policy, while willingness to lend primarily increases lending activity. The two financial shocks also differ in terms of their evolution over time: deviations from the average in the impact of a willingness to lend shock usually occur for short periods of time and are of a small degree between the various quarters. However, in the case of lending capacity, certain trends can be observed: before the crisis, the stability of the banking system played an increasing role in country risk, whereas after 2008 it appears that monetary policy paid increasing attention to financial stability. Finally, a new type of financial conditions index is quantified based on our estimates, which measures the impact of the banking system’s lending activity on GDP growth.     

Nonparametric methods and local‐time‐based estimation for dynamic power law distributions

This paper introduces nonparametric econometric methods that characterize general power law distributions under basic stability conditions. These methods extend the literature on power laws in the social sciences in several directions. First, we show that any stationary distribution in a random growth setting is shaped entirely by two factors: the idiosyncratic volatilities and reversion rates (a measure of cross‐sectional mean reversion) for different ranks in the distribution. This result is valid regardless of how growth rates and volatilities vary across different economic agents, and hence applies to Gibrat's law and its extensions. Second, we present techniques to estimate these two factors using panel data. Third, we describe how our results imply predictability as higher‐ranked processes must on average grow more slowly than lower‐ranked processes. We employ our empirical methods using data on commodity prices and show that our techniques accurately describe the empirical distribution of relative commodity prices. We also show that rank‐based out‐of‐sample forecasts of future commodity prices outperform random‐walk forecasts at a 1‐month horizon.     

探索高边坡设计要点

随着科技的发展和社会的不断进步,建筑工程项目越来越多,建筑项目也逐渐向高难度发展,但在建设高难度的建筑工程时经常会遇到处理高边坡的结构和稳定性问题。高边坡加固和处理在建筑工程中主要是起到保证边坡结构的稳定性作用,由于高边坡的稳定性受地质构造、地层岩性、破体结构、岩体结构和水文地质条件等因素的影响,再加上施工工艺和施工条件的作用,所以要想保证高边坡的稳定性,就需要加大对高边坡稳定性特征的研究和探讨,制定有效的技术方案,提高高边坡的稳固性。本文主要针对高边坡设计的问题和特征进行研究和探讨,并根据存在不足提出合理化的建议和措施。     

6-APA溶液物理化学特性的测定

6-氨基青霉烷酸(6-APA)是青霉素的母核,是半合成β-内酞胺抗生素生产的重要中间体。本文对于6-APA的溶液物理化学特性进行了分析与测定,其中包括溶解度、密度、粘度数据等,为6-APA工业化设计提供了依据。     

汉源新县城水库消落区塌岸模式研究

笔者根据汉源新县城水库消落区的工程地质条件,对影响塌岸的因素以及塌岸的模式进行研究,并根据研究区的地质条件以及塌岸模式对研究区进行工程分区,对各区段内岸坡稳定、塌岸模式和塌岸规模做了定性的分析,为研究区塌岸计算提供了较科学的依据。     

Has Job Stability Declined?

A bstract There has recently been a great deal of interest in the question of whether job stability has declined in the United States. However, a satisfactory answer to this question has not been agreed upon. In this article, data from the Panel Study of Income Dynamics (PSID) are examined to bring new evidence to bear on the subject of job stability trends. Using these data, job retention rates for various groups of workers between 1976 and 1992 are calculated. Then, a series of models that relate individual and economic factors to job retention over this period are estimated. These analyses suggest a general but mild decline in job stability during the period. However, trends in job stability vary dramatically across different groups of workers. Most clearly, job stability fell precipitously for black men and fell for men who were high-school dropouts or who has completed some college.     

边坡稳定性的综合评价方法

在模糊物元理论的基础上,结合灰色系统理论建立了岩坡稳定性的模糊灰元评价模型。在确定边坡稳定性影响的因素,即评价指标后,根据工程实测资料建立了边坡稳定性评价的复合模糊灰色物元模型,通过关联度的计算给出了边坡稳定性评价结果。并通过实例验证了该方法的合理性,为边坡稳定性的综合评价提供了一条新的思路。     

Instability spillovers in the banking sector: A spatial econometrics approach

In the study, we employ a dynamic spatial panel model to identify factors that are the sources of instability spillover in the banking sector. Using a sample of publicly listed banks, we document that the stability of a bank depends not only on its own characteristics and the macroeconomic conditions of its home country, but also on the stability of other banks in the same and other countries. We find weak evidence that the spillover effects are greater from domestic banks than from foreign ones. This study has significant implications for market regulators in terms of the role of country interdependence as a spillover mechanism during times of financial turbulence.     

Developing an empirical socioeconomic typology of counties in five western states

County-level data representing a broad range of socioeconomic variables were obtained for the 190 counties in five western States-California, Colorado, Nevada, Utah and Wyoming. A factor analysis of these variables produced eight orthogonal factors: (1) Urbanism, (2) Poverty vs affluence, (3) County tax revenues and services, relative to population, (4) Proportion of aged population, (5) Social stability vs instability, (6) New housing development vs cattle ranching, (7) Crop farming, welfare and unemployment, and (8) Small business activity vs level of federal employment. Several ways of examining scores on these factors were explored and demonstrated: distributions of scores on individual factors across counties were displayed graphically; individual county profiles, comprised of scores on all eight factors, were produced and examined; and groups of counties with similar profiles (representing county “types”) were identified through cluster analysis, and their average profiles and geographic distributions displayed and discussed. Groupings of clusters which were similar in some respects and varied in others were also presented. The utility of these methods for planning activities which may involve individual counties and/or groups of counties is discussed.     

基于MCLP模型的个人住房抵押贷款违约风险研究

个人住房抵押贷款一旦出现大规模的违约便会对金融体系的稳定和宏观经济的平稳运行带来很大的负面影响。通过对我国商业银行个人住房抵押贷款真实数据进行分析,分离出可能对贷款履约产生影响的个人基本情况、个人信用状况以及贷款合约等15项指标。在此基础上,使用MCLP模型构建了个人住房抵押贷款违约风险模型,并比较了MCLP模型与传统Logistic模型的预测结果,发现前者具有更高的准确度。最后,基于研究结论提出了相关建议。