关于“对Thomas＆Wollan定理的R．Diestel证明方法”的一个注记

指出了Diestel关于图论的研究生教材中Thomas＆Wollan定理的一个弱形式证明中存在的一个错误（第76页式（3））,并提供了一种改正方式。     

基于非负矩阵分解技术探寻早期阿尔茨海默症基因表达调控网络

本文利用非负矩阵分解(NMF)技术,依据加强算法的稀疏性对患早期阿尔茨海默 症(Alzheimer’s Disease,AD)样本的基因表达数据进行了分析,提取了对疾病早期诊断具有重 要意义的显著基因,样本分类实验结果证明了算法的有效性。在此基础上,结合与炎症反应 有重要关系的 NF-κB 等基因初步建立了与早期 AD 密切相关的基因表达调控网络结构图, 为 AD 致病机理的探询、早期诊断与治疗等提供了有益的途径和方法。     

太原东山地区湿陷性黄土处理方法的探讨

随着社会经济的迅速发展,高层建筑也越来越多,湿陷性黄土地区的地基湿陷处理已经引起了各方的高度关注,文章就湿陷性黄土处理方法进行了详细的探讨。     

基于素质教育的中学地理教学改革与方法创新

结合中学地理教学目标、教材特点和当代中学生学习环境的变化,提出了基于素质教育的中学地理教师应具备的素质和技能:教师是复合型研究性人才;具有终身学习理念;具有科学方法论做指导;具有跨学科知识结构体系.根据目前中学地理教学的现状和问题,提出了基于素质教育的中学地理教学改革和方法创新的途径:自觉运用哲学理论和逻辑方法;软化学...     

8周健身运动处方教学对保健班学生身体成分的影响

为了解健身运动处方对保健班学生身体成分的影响,对齐齐哈尔大学23名保健班学生进行8周健身运动处方教学,并对所有学生在8周教学前后的体脂百分比、BMI和身体形态等指标进行测试.结果表明,保健班学生实验后的体脂百分比出现一定程度的下降,符合健康标准的人数逐步增多,胸围和呼吸差发生了一定的变化(P<0.05),腰围在低于风险...     

《高师理科学刊》2006-2010年载文分析

采用文献计量的方法,对《高师理科学刊》2006-2010年的载文基本信息和作者情况进行统计分析.结果表明,5年出版28期共载文1 014篇,信息密度为4.83,出版时滞148 d,基金论文占38.46％,篇均引文数5.95;论文合著率62.92％;主要作者群为30～40岁的副高级职称和中级职称的研究人员.客观地反映出该...     

煤层注水降低综采工作面粉尘浓度的研究

通过对煤层注水减尘原理和煤层注水方式的研究,分析钱家营矿以煤层注水为工作面综合防尘措施,提出以煤层注水为工作面综合防尘的主要手段,采取先进的打钻、封孔、注水等方法,可提高煤层注水效果,从而有效的降低工作面煤尘浓度,改善工作面作业环境.     

导引头稳定平台离散时间预设性能控制

针对现有离散时间预设性能控制方法对滑模趋近律依赖度高、抖振缺陷明显的难题,通过创建一种摆脱了滑模控制的设计新框架,为拦截弹导引头稳定平台提出了一种离散时间预设性能控制新方法。首先,设计一种离散时间性能函数对跟踪误差的收敛轨迹进行包络约束;然后,定义一种离散时间转换误差并将其用于构造一种新颖的反馈函数;设计离散时间控制律对新开发的反馈函数而不是转换误差进行镇定,不仅保证了所有跟踪误差均具有期望的预设性能,还摆脱了控制算法对滑模趋近律的依赖性,从根本上解决了控制抖振难题;最后,通过数值对比仿真验证了所提方法的有效性与优势。     

Correcting the January optimism effect

Each month, various professional forecasters give forecasts for next year's real gross domestic product (GDP) growth and unemployment. January is a special month, when the forecast horizon moves to the following calendar year. Instead of deleting the January data when analyzing forecast updates, I propose a periodic version of a test regression for weak-form efficiency. An application of this periodic model for many forecasts across a range of countries shows that in January GDP forecast updates are positive, whereas the forecast updates for unemployment are negative. I document that this January optimism about the new calendar year is detrimental to forecast accuracy. To empirically analyze Okun's law, I also propose a periodic test regression, and its application provides more support for this law.     

Intermittent demand forecasting in the Enterprise: Empirical verification

Forecasting methods are often valued by means of simulation studies. For intermittent demand items there are often very few non–zero observations, so it is hard to check any assumptions, because statistical information is often too weak to determine, for example, distribution of a variable. Therefore, it seems important to verify the forecasting methods on the basis of real data. The main aim of the article is an empirical verification of several forecasting methods applicable in case of intermittent demand. Some items are sold only in specific subperiods (in given month in each year, for example), but most forecasting methods (such as Croston's method) give non–zero forecasts for all periods. For example, summer work clothes should have non–zero forecasts only for summer months and many methods will usually provide non–zero forecasts for all months under consideration. This was the motivation for proposing and testing a new forecasting technique which can be applicable to seasonal items. In the article six methods were applied to construct separate forecasting systems: Croston's, SBA (Syntetos–Boylan Approximation), TSB (Teunter, Syntetos, Babai), MA (Moving Average), SES (Simple Exponential Smoothing) and SESAP (Simple Exponential Smoothing for Analogous subPeriods). The latter method (SESAP) is an author's proposal dedicated for companies facing the problem of seasonal items. By analogous subperiods the same subperiods in each year are understood, for example, the same months in each year. A data set from the real company was used to apply all the above forecasting procedures. That data set contained monthly time series for about nine thousand products. The forecasts accuracy was tested by means of both parametric and non–parametric measures. The scaled mean and the scaled root mean squared error were used to check biasedness and efficiency. Also, the mean absolute scaled error and the shares of best forecasts were estimated. The general conclusion is that in the analyzed company a forecasting system should be based on two forecasting methods: TSB and SESAP, but the latter method should be applied only to seasonal items (products sold only in specific subperiods). It also turned out that Croston's and SBA methods work worse than much simpler methods, such as SES or MA. The presented analysis might be helpful for enterprises facing the problem of forecasting intermittent items (and seasonal intermittent items as well).