城市群客运一体化交通网络评价指标体系

根据城市群交通网络的特点,构建了城市群客运一体化交通网络评价指标体系,并对长株潭城市群客运一体化交通网络的运行效率进行了有效性评价分析．通过对评价结果的分析和对比,可对城市群客运一体化交通网络在线网布局水平、线网服务水平以及城市群协调发展水平等方面存在的问题进行有针对性的改善。实际工程的应用表明。该评价指标体系在评价客运一体化交通网络的过程中具有较强的可操作性．     

基于KPI的SD公司绩效考核优化设计研究

针对目前SD公司绩效考核中存在的考核指标设置不科学、指标指导性较差、考核方式单一、考核结果反馈机制不健全等问题,提出了基于KPI的SD公司绩效考核体系的设计框架和方案,旨在提升员工工作效率和绩效水平,促进公司战略落地,实现公司跨越式发展。     

高技术指标：2007年度33国(地区)技术竞争力报告

文中的高技术指标（High Tech Indicators,HTI）为佐治亚理工大学发布的沿用多年的指标。数据对
比的时间段分别为1993年、1996年、1999年、2002/3年和2007年。论文给出了33个国家（地区）当前的竞争
力指标——技术排名(Technological Standing, TS), 同时提供了四个表征未来竞争力前景的主要指标——国家
发展取向指标(National Orientation, NO)、社会经济基础指标(Socio-Economic Infrastructure, SE)、技术基础指
标(Technological Infrastructure, TI)与生产能力指标(Productive Capacity, PC)。论文无意在高技术指标的结果上
多加笔墨,但是也的确注意到,中国已经取代美国占据了技术排名的首位。这一结果反映了高技术指标的特
点,更重要的是,它反映了中国过去15年的惊人发展速度。     

休眠解除过程中紫楠种子生理生化特征的变化

【目的】探究紫楠(Phoebe sheareri)种子层积过程中营养物质、酶活性和内源激素的动态变化,揭示种子解除休眠过程中的内在生理机制,为其休眠解除与促进萌发提供理论依据。【方法】以新鲜饱满的紫楠种子为试验材料,采用低温和变温层积处理,测定层积过程中的生理生化指标。【结果】层积处理能解除紫楠种子休眠,低温和变温层积处理的发芽率分别为85.83%、72.75%。紫楠种子中初始淀粉含量为467.88 mg/g,在层积过程中逐渐下降。可溶性糖、可溶性蛋白和粗脂肪均被不同程度地分解。淀粉酶、酸性磷酸酶(APA)和过氧化物酶(POD)活性均不断增强。在整个层积过程中生长素(IAA)、异戊烯基腺苷(IPA)、赤霉素(GA₃)含量不断增加,脱落酸(ABA)含量逐渐减少,IAA/ABA(质量比,下同)、IPA/ABA、GA₃/ABA不断增大。【结论】紫楠种子是中度休眠的种子,低温层积是加快紫楠种子萌发的较好方式。紫楠种子最主要的贮藏物质为淀粉,营养物质的转化与内源激素的协调作用均对紫楠种子休眠的解除起重要作用。     

溶剂型冷补沥青研制及其混合料性能评价方法

为弥补溶剂型冷补沥青混合料性能评价方法上存在的不足,并对其进一步研究,首先采用正交试验自行研制一种溶剂型冷补沥青,然后分析冷补料不同的制备工艺,提出并优化冷补料的性能评价方法,最后将自研的冷补沥青拌制成冷补料,与市场在售的3种冷补料进行性能对比并验证。研究结果表明：冷补料最佳制备工艺为将集料、冷补沥青及拌锅均加热至60℃后再拌和;自研冷补沥青拌制成的冷补料低温施工和易性优良、初始强度高、抗水损害能力强。提出的评价方法能够较好地评价冷补料的路用性能。同时完善冷补料的性能评价体系,能够较好地指导其试验设计和施工。     

谈“本科教学评估”对图书馆工作的影响

结合大庆石油学院图书馆的实际,就本科教学评估对推进图书馆管理工作的积极意义进行了论述,并提出应当注意的事项。     

Selection of judging indicators for surface morphology of soil crack under different development degrees in Yuanmou arid-hot valley region

Quantification of complicated surface morphology of soil crack is a prerequisite and key to soil crack study. This paper takes soil crack quads in Yuanmou arid-hot valley region as examples, selecting several morphological indicators, and analyzes the soil crack＇s morphological features under various development degrees. By statistic analysis, three quantitative indicators for surface morphology are selected, namely soil crack area density, area weighted mean fractal dimension and connectivity index R, which can not only express the development intensity of soil cracks, but also effectively describe its morphological complexity and connectivity. The research results set a good base for the establishment of soil crack assessment system in Yuanmou arid-hot valley region.     

指示生物测评污水厂净化能力的研究

为了利用指示生物来监测和评价污水厂处理效果,在不同的水质情况下对指示生物的种属、数量、活性及其组成和数量进行了检测与分析,结果表明,通过检测污水厂曝气池中纤毛虫组合率可以预报出水水质情况;观察与监测指示生物的生物相和生长变化情况能及时反应水厂运行的异常情况.据此能够及时指导污水处理厂的生产运行,保证污水厂的处理效果.     

International interdependence of business cycles in the manufacturing industry: The use of leading indicators for forecasting and analysis

This article introduces new leading indicators for fifteen industrialized countries which enable the business cycle in manufacturing to be forecast fairly reliably between 4 and 6 months ahead. These indicators are based on an improved variant of the NBER method, yielding a composite leading indicator characterized by less erratic movements and clear turning points. The indicators are used to explore the international interdependence of business cycles and to examine the degree to which this interdependence is affected by growing economic integration, as in the EC. For each of the countries studied, the various foreign economies affecting the local business climate are identified. Since the business cycles of some countries clearly lead those of others, this international interdependence can be used to further improve the predictive power of the leading indicators in the lagging countries.     

Forecasting the Italian industrial production index in real time

Daily electricity consumption data, available almost in real time, can be used in Italy to estimate the level of industrial production in any given month before the month is over. We present a number of procedures that do this using electricity consumption in the first 14 days of the month. (This is an extension of a previous model that used monthly electricity data.) We show that, with a number of adjustments, a model using half-monthly electricity data generates acceptable estimates of the monthly production index. More precisely, these estimates are more accurate than univariate forecasts but less accurate than estimates based on monthly electricity data. A further improvement can be obtained by combining ‘half-monthly’ electricity-based estimates with univariate forecasts. We also present quarterly estimates and discuss confidence intervals for various types of forecasts.