高职院校专业设置与地方产业发展需要的适应性研究

依据产业设专业,产业变动调专业,是高职院校专业设置与调整的基本原则。目前高职院校专业设置与地方产业发展需求的契合度不高,应通过改革专业设置审批权、实行高职办学行业化和属地化、建立人才需求信息和专业人才供给权威发布制度、整合优化高职院校现有专业布局结构、大力推进行业指导和订单培养等途径,实现专业设置与产业发展需要的有效对接。     

电力系统无功优化研究

随着电力工业向"大系统、超高压、远距离、大容量"发展,电网结构日趋复杂,系统稳定性问题日益突出。通过无功优化来改善电压质量、降低运行网损以及提高系统运行的安全稳定性显得尤为必要。因此,对电力系统无功优化研究,具有理论意义,又有实际意义。而无功优化问题又是一个多变量、多约束的混合非线性规划问题,其变量既有连续变量又有离散变量,使得优化过程十分复杂。     

帮学生握起敲开英语大门的砖头

本文指出了词汇教学的重要性以及当前词汇教学中存在的弊端,并就如何科学地、有效地进行词汇教学进行了初步探讨。     

西部欠发达地区“校校通”工程建设的实践探索

教育部实施"校校通"工程,是想改变教育资源分布严重不平衡的现状,实现优秀教学资源的共享。然而,很多中小学对校园网建设的规划不完整,对于"校校通"工程的理解存在很大的误区。为此,针对西部欠发达地区的中小学校,在经济投入严重不足的情况下,贫困地区怎样实现"校校通"?本文从变通的方式提出符合该地区的解决方案。     

论课堂教与学的有效统一

党校教育要适应人才市场的需求,就必须端正办学指导思想,按照"三个代表"重要思想的要求,办学为民,在教与学的有效统一上下功夫,真正提高学员的素质,为社会培养有用人才。     

秦岭主峰太白山药用植物资源调查与研究

通过野外调查、标本采集、照片采集、标本鉴定和查阅文献等方法,对秦岭主峰太白山药用植物资源种类、分布进行调查与研究,共鉴定出药用植物(57)科(140)种,其中蕨类(6)科(8)种,种子植物(51)科(132)种,并对太白山药用植物的生境及其垂直分布特点、入药部位及功效进行了调查研究和归纳总结,最后针对太白山药用植物资源的合理开发利用及保护、太白山生态系统的可持续发展等提出了建议。     

领导干部要努力提高贯彻落实科学发展观的能力

提高执政能力,力求科学发展,就要提高贯彻落实科学发展观的能力。必须认真学习,善于思考;注重实践,认真调研;科学决策,狠抓落实。在学习和实践中提高贯彻落实科学发展观的能力。     

Drawing up the official adjustment rules for damage assessment in agricultural insurance: Results of a Delphi survey for fruit crops in Spain

This paper presents the results of an innovative use of the Delphi technique to obtain quantitative information for the evaluation of the Official Adjustment Rules for Damage Assessment in agricultural insurance. An efficient insurance system must guarantee that loss adjustment is performed fairly and transparently, so that the continual review and modification of adjustment rules becomes especially important. The present study develops and applies a methodology based on the subjective information compiled by experts to evaluate the modification of the Specific Loss Adjustment Rule for Fruit Crops under real market conditions.The results show that the method employed comes forward as a valid option to provide reliable information, as well as other economic and social advantages, in the absence of alternative statistical sources. The validity of the study has been proved by its utility, as the results were extremely useful for drawing up a new Official Adjustment Rule. This application opens up an interesting field of development for this technique, which will enable the proposed methodology to be applied to similar studies in the context of agricultural insurance loss adjustment.     

Measuring financial soundness around the world: A machine learning approach

We use a fully data-driven approach and information provided by the IMF’s financial soundness indicators to measure the condition of a country’s financial system around the world. Given the nature of the measurement problem, we apply different versions of principal component analysis (PCA) to deal with the presence of strong cross-sectional and time dependence in the data due to unobserved common factors. Using this comprehensive sample and various statistical methods, we produce an alternative data-driven measure of financial soundness that provides policy makers and financial institutions with a monitoring and policy tool that is easy to implement and update. We validate our index by using alternative macroeconomic factors, confirming its predictive power. Our index captures important aspects of financial intermediation around the world.