基于学生自主学习的高等数学“情景——问题”教学研究

当前,综合性大学高等数学教学中普遍存在着学生学习兴趣不高、学习动力不足、教学方法单等问题,为应对上述问题,我们给出高等数学"情境—问题"教学模式。该教学模式的特点是基于有效问题情境的创设,最大程度地激发学生的学习积极性,将质疑提问、培养问题意识、提高分析问题解决问题能力、提炼知识背后的深刻的数学思想等方面贯穿教学的全过程。该教学模式很好地贯彻了"以人为本"的教育理念,真正将学习的权利交还给了学生。     

现代战争制胜机理的理论探讨

现代战争是信息化条件下的高技术常规局部战争。现代战争制胜机理必须适应战斗力生成新要求,突出战斗力标准。从军队作战能力的视角,可将现代战争的制胜机理分为:信息力制胜、杀伤力制胜、防护力制胜、机动力制胜和保障力制胜五个方面,即所谓的"五力制胜",它们相互融合成一个有机整体,共同构成现代战争中克敌制胜的法宝。     

关于重演理论的实证调查与分析

重演理论是数学史与数学教育整合的重要理论基础.通过调查学生对负数大小的识别,发现数学的历史发展过程与学生的认知过程有着一定的相似性,可以利用重演理论来构建数学课程.一方面,运用重演理论反思教学内容编排的合理性,对知识的呈现顺序进行更为合理的设计,对课程的整体设置进行更适切的把握;另一方面,在针对某一知识点进行教学设计时,通过研究数学史,对学生的认知障碍进行预先分析,结合史实资源开拓学生思维,使学生对知识的理解更加多元、更加深入.     

论实现党委科学决策应重点把握的三个要素

实现党委科学决策,必须在学习理论中“扩容”思维,在学习科技中“升级”本领,在学习党章中“硬化”原则,夯实党委决策的基础;必须运用选点实验的方法为决策“试车探路”,运用咨询专家的方法为决策“出谋划策”,运用信息化手段方法为决策“助推加力”,丰富党委决策的方法;必须建立健全调研论证、民意表达、监督制约、失误追究等制度,规范党委决策的流程。     

指挥员作战决策行为的EWA学习模型分析

摘要：为在根本上提高作战决策质量,从行为学角度入手,以指挥员这一“人”为中心,并结合认知科学、心理学等知识对指挥员作战决策行为进行研究。从博弈角度出发,通过引入EWA模型,对指挥员作战决策行为进行分析和优化。结果表明,EWA模型,特别是加入“老练”指挥员后的模型能够明显改善指挥员决策行为,对指挥员,尤其是经验匮乏的指挥员决策行为表现有着重要的作用。     

建筑防火课程案例教学研究

在教学方法改革中,案例教学法越来越受到重视。《建筑防火》课程教学运用案例教学法有其必要性和可行性。要认真组织案例教学,充分认识教学过程中存在的问题,创造案例教学应具备的基本条件。通过案例教学调动学员学习的积极性、主动性,提高学员分析和解决问题的能力。     

高校舆情研究探析

及时了解和掌握学校各方面舆情动态、探索舆情的产生和变化规律,对于高校科学决策和处理舆情危机具有重要价值。本文阐述了新形势下高校舆情的含义、特点及舆情研究的内容,分析了高校舆情研究现状和存在的问题,提出了高校舆情研究的政策性建议,以便为高校制定发展战略,推动高校持续、健康、快速发展提供参考。     

A produce‐to‐stock system with advance demand information and secondary customers

We consider a manufacturer (i.e., a capacitated supplier) that produces to stock and has two classes of customers. The primary customer places orders at regular intervals of time for a random quantity, while the secondary customers request a single item at random times. At a predetermined time the manufacturer receives advance demand information regarding the order size of the primary customer. If the manufacturer is not able to fill the primary customer's demand, there is a penalty. On the other hand, serving the secondary customers results in additional profit; however, the manufacturer can refuse to serve the secondary customers in order to reserve inventory for the primary customer. We characterize the manufacturer's optimal production and stock reservation policies that maximize the manufacturer's discounted profit and the average profit per unit time. We show that these policies are threshold‐type policies, and these thresholds are monotone with respect to the primary customer's order size. Using a numerical study we provide insights into how the value of information is affected by the relative demand size of the primary and secondary customers. © 2007 Wiley Periodicals, Inc. Naval Research Logistics, 2007     

帐篷辐射供暖试验研究

帐篷具有特殊的围护结构,其供暖不同于其他建筑。从特殊的使用及功能要求出发,确定研制以导电涂料发热为机理的新型电热供暖装置,制定并实现了其基本性能指标。针对帐篷在寒区取暖的现状,选择了较为合理的供暖方式,有效地解决了寒冷地区帐篷的供暖问题。分别在环境试验室模拟条件和自然气候条件下进行了低温供暖升温试验,通过试验研究了电热涂料辐射供暖的热舒适性和实测能耗,对试验结果进行了理论分析。试验表明对帐篷采用辐射方式供暖是一种高效的解决方案。     

Multivariate meta analysis with potentially correlated marketing study results

A univariate meta analysis is often used to summarize various study results on the same research hypothesis concerning an effect of interest. When several marketing studies produce sets of more than one effect, multivariate meta analysis can be conducted. Problems one might have with such a multivariate meta analysis are: (1) Several effects estimated in one model could be correlated to each other but their correlation is seldom published and (2) an estimated effect in one model could be correlated to the corresponding effect in the other model due to similar model specification or the data set partly shared, but their correlation is not known. Situations like (2) happen often in military recruiting studies. We employ a Monte‐Carlo simulation to evaluate how neglecting such potential correlation affects the result of a multivariate meta analysis in terms of Type I, Type II errors, and MSE. Simulation results indicate that such effect is not significant. What matters is rather the size of the variance component due to random error in multivariate effects. © 2000 John Wiley & Sons, Inc. Naval Research Logistics 47: 500–510, 2000.