王充闾散文的情智识

王充阁散文追求诗性、历史感和哲思三者的融合统一.在散文文本中具体体现为大量的感人之情、启人之智和益人之识.这不仅打通了科学和文学的界限,而且打通了文学、史学和哲学的界限,如此加深了他散文创作的情感浓度、思想深度和知识密度.     

Cooperation strategies in port-oriented bulk supply chains: aligning concept and practice

It seems intuitively obvious that firms in supply chains may have more to gain than to lose from learning to cooperate; but it is now more than two decades since Poirier [1999. Advanced Supply Chain Management. San Francisco, CA: Barrett-Koehler] and others called for cooperation in order to capture mutual gains in supply networks and even now ‘cooperation is neither common nor easy’. The simple fact is that not only are supply chains exceptionally complex but so too is the ‘process of cooperating’ – often in the context of antitrust legislation and competition policy. This paper argues that there is a critical need to rethink the principles and processes of cooperation within the broader framework of the competitive behaviour of firms and business strategy. Particularly, it suggests that the relatively recent thinking of Greenwald and Kahn [2005 Greenwald, B., and J. Kahn. 2005. Competition Demystified A Radically Simplified Approach to Business Strategy. New York, NY: Portfolio, The Penguin Group. [Google Scholar]. Competition Demystified A Radically Simplified Approach to Business Strategy. New York, NY: Portfolio, The Penguin Group] in their ‘radically simplified approach to business strategy’ offers sound conceptual insights into cooperation and cooperative strategies for firms not only in markets but also in chains. Furthermore, it notes that the analytical framework for cooperation and cooperative strategies which the authors develop is far removed from the notion of cooperation as ‘commitment and trust and shared thinking’ and from ‘buyer/seller reciprocity’ and ‘collaborative attitudes’ which tend to underwrite much contemporary thinking and research. The paper also argues that the Greenwald and Kahn framework – its single intelligence model of cooperation and cooperative strategies – resonates with real-world relevance, at least for particular supply chains. The paper focuses attention on research into globally significant export coal chains from major east coast Australian ports and in brief case studies finds substantial alignment between concept and practice.     

基于博弈论的云环境下跨组织知识共享研究

计算技术不仅大大促进了经济的发展,而且在知识管理领域也产生了深刻的影响。基于知识共享行为的动态特征,构建云环境下组织间知识共享的动态博弈模型。研究表明,只有建设有效的搭便车防范措施,才有可能构建积极的知识共享环境,并且知识共享双方云能力的提高有助于促进积极知识共享环境的形成。     

腰-硬联合麻醉在老年人股骨头置换术中的临床疗效

目的探讨腰-硬联合麻醉在老年人股骨头置换术中的临床疗效。方法回顾性分析2013年11月至2014年11月我院行股骨头置换术的59例老年患者,观察患者麻醉前、麻醉后5、10、30 min心率(HR)、收缩压(SBP)、舒张压(DBP)、动脉血氧分压(Sp O2)变化,术后并随访3 d,记录并发症情况。结果麻醉后患者的5、10、30 min的SBP、DBP与麻醉前比较均降低(P<0.05);各时点HR及Sp O2比较差异均无统计学意义(P>0.05)。优良率为98.3%,术后无恶心呕吐、头痛等麻醉相关并发症。结论腰-硬联合阻滞在老年人股骨头置换术中的麻醉效果明显,安全可靠。     

Salesperson Resistance to Sharing Market Intelligence in Sub-Saharan Africa

This article presents a framework for exploring salesperson(s) resistance to sharing market intelligence in emerging markets in Sub-Saharan Africa. The authors propose that resistance to sharing market intelligence with relevant others, including the firm, coworkers, intermediaries, and sales managers, is a function of various individual, leadership, and organizational (firm) factors. This framework helps researchers understand how and why resistance develops among salespeople. Moreover, implications from these findings are presented to assist practitioners who wish to persuade and encourage African salespeople to share market intelligence for the benefit of their firms.     

以大数据推动城市智慧化发展的创新性规划

以充足数据为基础的城市规划更趋坚定、合理、科学。大大降低了城市运作的风险,提升了居民生活的幸福指数。     

基于人工免疫算法的多无人机分布式任务分配方法

对多无人机任务分配问题进行了研究,在重量和路径负载均衡的基础上建立了带有攻击顺序的01决策变量的模型,运用分布式的人工免疫算法对该模型进行仿真实验,最终得到每个无人机攻击的目标顺序以及目标函数值,实验证明该方法在得到不劣于遗传算法结果的同时,提高了寻找最优解的收敛速度。     

基于BP人工神经网络的绿色施工模糊综合评价研究

发展绿色施工促进施工企业节约能源和资源、保护环境,是全球应对气候变化挑战、实现可持续发展的重要手段,而绿色施工评价对于建筑业落实可持续发展起到一定作用。本文在介绍BP人工神经网络基本原理的基础之上,分析了与其它评价方法相比,BP人工神经网络在绿色施工评价中的优越性。通过建立模糊评价矩阵,利用BP人工神经网络处理数据,较客观地对绿色施工进行评价。最后将此评价模型应用于实例,取得了令人满意的结果。     

基于IAD延伸决策模型的农户征地意愿研究

基于奥斯特罗姆IAD模型的延伸框架,通过广东省21个市(县)2013年的调查数据,首先运用二元logistic整体回归模型对征地制度改革中农户的征地意愿进行研究,进而发现细分已征地农户与未征地农户的意愿差异并差别分析的必要。研究结果显示:除了一般的户主特征变量、征地补偿标准变量外,程序变量和认知改革变量对已征地和未征地农户的征地意愿影响尤其显著,但二者在近乎均质的行动舞台中,基于对事前最终行动结果信息的感知和预测,在征地意愿上表现出了不同的变量特征,数据分析表明未征地农户是以征地农户的最终行动结果(决策前)作为决策参照,以制定激励和预期收益调整征地意愿决策。另外,回归模型显示在征地意愿的影响因素中,程序公正(协议征地)要优于货币补偿,农户对土地财产性权利分配的关切不是征地制度改革自身所能解决的。     

基于BP神经网络的老工业基地企业核心竞争力的综合评价

我国对老工业基地进行调整和改造,作为老工业基地主体的企业,有必要了解自己和其他同行企业的核心竞争力水平和状况。为此,运用AHP法构建了老工业基地企业核心竞争力评价指标的递阶层次结构,应用BP神经网络理论对老工业基地企业核心竞争力进行综合评价。实证研究表明,评价结果与实际基本相符合,从而提供了一条对老工业基地企业核心竞争力进行定量评价的途径。