在堪萨斯州立大学,我们既有机会也必须将我们的资源和专业知识整合在一起,既尊重我们独特的结构,又挑战历史规范。这些核心机会领域旨在充分利用我们整个机构的优势,并具有内在的包容性,以便我们机构中的每个人都能看到自己的影子。它们支撑并贯穿了我们战略计划的各个方面,即我们如何实现我们的使命、实现我们的目标并推进我们的优先事项。
• 投资额超过 150 亿美元 • 2,700 名员工、科学家和工程师 • 164k 平方英尺洁净室空间 • 超过 200 个行业合作伙伴 • 3 亿美元/年运营预算 • 1.5 亿美元/年资本支出设备预算
This article discusses the grand strategy imperatives of 37 foreign policy experts in Washington, DC. in response to President Donald Trump's nationalist challenge to the post-WWII international order concept. Using an abductive reconstructivist methodology to analyze in-depth interviews, five grand strategy imperatives or rules for action shared by all actors were identified: safeguarding US global leadership, maintaining alliances, securing US prosperity, value orientation, and the belief in a mission. Based on the interpretation of these rules for action, four types of foreign policy experts were distinguished: nationalists, realists, pragmatic liberals, and liberals. The latter three expert types, also labelled globalists, were united in their opposition to the nationalists' demolition of the international order but divided along partisan and ideological lines about the meaning and implementation of the rules for action. Realists, pragmatic liberals, and liberals were also unsure of how to explain and respond to Trump's nationalism beyond a defensive or wishful hope to save the vestiges of an US-centric international order. The findings demonstrate the value of in-depth qualitative interviews for explaining elite beliefs, illustrating the rich insights for policy analysis that can be gained through this methodology.
自1960年以来,已经使用了另一种方法。这种方法将分裂的遗传组成作为标签,并衡量个体组之间的相似性(或差异)。这项工作导致了诸如f st的估计量,表明人群彼此之间的孤立程度以及基于种群或个人中等位基因频率的其他几种措施。这些方法通常是基于Sewall Wright和Ronald Fisher发明的简单种群模型。最常见的应用使用了Wright-Fisher种群模型,该模型假设人口不增长或收缩,每个人都有相同的机会再现的机会,并且每一代人的成年人都被其春季所取代。有趣的是,这个简单的模型是(并且)非常稳定,甚至是对这种模型似乎古怪(大象,人类等)的物种的应用,使人们对人口历史有很大的了解。不幸的是,尽管人口遗传理论取得了长足的进步,但从业者仍在使用这些方法。这些等位基因频率方法的问题问题主要源于以下事实:对称移民率和相等的人口规模需要完成以下事实(Beerli,2004)。
•工程地质•石油地质•矿产探索•环境地质•水文地质学7。数学系(i)M.Sc.,M.Phil。和Ph.D.数学课程(II)M.Sc.,M.Phil。和Ph.D.专业工业数学领域的计划:•应用数学•纯数学•运营研究•优化•数值分析•金融数学•统计•计算统计•微分方程•计算数学•体积分析
研究经验/对心理和行为健康的兴趣 • 个人的耐心程度、对未来结果的评估或对即时满足的倾向如何影响行为 潜在的研究问题 • 耐心程度较高的人是否更有可能因为长期利益而选择预防性医疗保健措施? • 考虑到潜在的长期利益,耐心程度较高的人是否更倾向于接受整形手术? • 心理健康如何影响耐心?有心理健康问题的人是否倾向于更悲观地评估未来结果?
摘要 ................................................................................................................................ 18 3.1 介绍 .............................................................................................................................. 19 3.3 方法 .............................................................................................................................. 22 3.4 局限性 .............................................................................................................................. 27 3.5 结果 .............................................................................................................................. 27 3.6 讨论 .............................................................................................................................. 31 3.7 结论 .............................................................................................................................. 33 参考文献 .............................................................................................................................. 34
