辅酶B_(12)模型化合物n-C_3H_7Co(salen)(γ—pic)的合成和表征

本文用配体置换法合成了烷基钴Schiff碱配合物n—C_3H_ 7Co(salen)(γ—pie)(正丙基·4-甲基吡啶·双水杨醛合乙二亚胺合钴(Ⅱ))。并进行了元素分析、红外光谱、紫外光谱、核磁共振等性质表征。     

实现经济增长方式转换的条件和难点探讨

经济增长方式从粗放型到集约型的转换，是实现＂九五＂和２０１０年奋斗目标的关键之一。但从目前的实际和今后的发展看，要实现这一历史性的转换，还存在着许多困难，需要创造和具备一定的条件。因此，要辩证地认识经济增长方式转换中的有关理论问题，同时根据不同部门、不同行业和不同区域之间的差异情况采取结构转换的对策。     

玻璃熔接过程中的流变分析

继文献〔1〕的研究,针对激光于界面反射法定义及测定玻璃一个特性点时,双片玻璃试样熔接过程中的流变特性进行了理论分析,用简化的模型,探讨了上述方法的测定机制。     

How can David orchestrate resources to enhance firm performance? A dynamic approach to coping with resource constraints

Given that the possession of abundant resources does not always guarantee superior firm performance, this study proposes a dynamic approach to enhancing firm value. Building on the resource orchestration thesis, we investigate how firms facing resource constraints enhance their capabilities over time by orchestrating resources and how this resource orchestration can play a role in improving firm performance. Using the dynamic perspective, this study identifies four resource orchestration modes, which are specified based on how a given firm dynamically allocates its resources to technology (enacted by R&D activities) and marketing (enacted by advertising activities). Accordingly, we claim that firms with resource constraints can enhance their performance by escalating or altering their resources over time. To test our hypotheses, we used a sample of 4078 small and medium-sized enterprises in manufacturing industries between 1984 and 2018. We found that focus escalation for technology positively affects firm performance, captured by Tobin's q, and that focus alternation toward either technology or market is positively related to firm performance. Finally, we discuss the theoretical and practical implications of our findings.     

The relationship between presenteeism and job satisfaction: A mediated moderation model using work engagement and perceived organizational support

Research on presenteeism has largely focused on its prevalence, determinants and consequences on the health of both employees and organizations. To date, few studies have examined the influence of presenteeism on workers’ attitudinal and motivational responses. Based on the Effort–Recovery Theory, this study evaluates the mediating effect of work engagement in the relationship between presenteeism and job satisfaction. Building on previous work, this study also proposes to consider perceived organizational support as a moderator of the work engagement–job satisfaction relationship. Presented in the form of a mediated moderation model, the results of bootstrapped regression analyses show three main results. First, presenteeism is negatively associated with work engagement and job satisfaction. Secondly, work engagement is one of the factors through which presenteeism influences job satisfaction. Thirdly, perceived organizational support moderates the association between work engagement and job satisfaction so that, at a low level of work engagement, feeling supported by the organization makes a difference on job satisfaction. Overall, this research is part of the limited number of studies that have focused on the interplay existing between presenteeism and its consequences in terms of job attitudes.     

免费VS.订阅:考虑广告质量的网络内容盈利模式选择

不同于已有决策模型对网络内容质量或广告质量的忽略,本文考虑用户粘度、广告质量及其信息不对称等因素或决策情形,运用委托代理理论,分别针对免费模式与订阅模式建立博弈模型,探讨网络内容提供者的最优盈利模式选择问题及其最优的内容质量策略与广告定价策略,并设计广告合同以激励拥有私人信息的广告主"讲真话"。结果表明：（1）网络广告尤其是优质网络广告的存在有利于系统实现帕累托改进,并能缓解订阅模式的实施难度;（2）信息不对称削弱了网络广告质量对网络内容提供者与社会福利的积极作用,并且网络广告质量越高,其信息价值越大;（3）订阅模式并非始终优于免费模式,并且相同条件下,前者适宜"少而精"策略而后者适宜"广而平"策略。     

基于二阶段随机规划的城市医疗废弃物回收网络设计

城市医疗废弃物日益增加,且回收需求量受诸多因素的影响,难以准确预测,假定回收需求为确定值的医疗废弃物网络优化设计不能与实际需求相匹配。本文考虑了离散随机参数环境下,医疗回收网络设计中选址规划、分配计划及运输规划的协同优化问题,建立了以选址成本、运输成本最小为目标,设施与车辆能力限制为约束的二阶段随机规划模型。根据模型特点,设计了基于Benders decomposition的求解算法,同时,设计了一系列加速技术用于提高算法的求解效率。最后,以国内某城市医疗回收网络为背景设计算例,检验本文模型和求解策略的可行性和有效性。结果表明：相比确定性规划,随机规划的解能够节约总成本,结合一系列加速技术的Benders decomposition方法比CPLEX与纯的Benders decomposition更有优势。     

基于银行-资产双边网络模型的系统性风险及投资策略研究

受近几年的国际金融危机及金融全球化的影响,对金融系统的系统性风险的研究已成为国内外学者的关注热点。考虑到当前基于"银行-资产-银行"间接传播渠道的相关研究相对匮乏,本文基于银行-资产双边网络模型来分析银行系统性风险。首先,使用中国47家上市银行2018年的资产负债表数据构建了中国银行系统的双边网络模型,研究分析各类资产遭受冲击时外部冲击、降价出售效应及银行所持有的各类资产占银行总资产的比例对银行系统性风险的影响。然后,引入系统性冲击方式,通过设置具有不同属性的两大类资产并生成四种冲击事件来构建银行的投资策略模型,从资产视角探讨银行最优的投资策略。研究发现,外部冲击与降价出售效应这两个产生系统性风险的影响因素在一定区间值时会产生叠加效应,使银行系统性风险急剧增加;五种资产类中,贷款类资产对外部冲击最敏感;分析发现在各类资产冲击下都未倒闭的所有银行的资产组合具有一定的相似性;进一步研究发现银行系统中存在着最优的资产组合,使得银行在稳定的同时能获取最大收益,并且资产负债比越大的银行其风险承受能力越强,从而可以选择更激进的投资策略来追求高收益。     

在线社交网络虚假信息交互量最小化的边阻断策略研究

在线社交媒体的蓬勃发展改变了人们获取信息的模式,大量的信息通过社交平台传播,信息内容的真实性把关弱化,各类虚假信息依托社交媒体野蛮生长,网络空间治理,培育健康的网络生态意义重大。本文通过最小化用户之间的虚假信息交互量,研究社交网络中虚假信息传播路径的阻断策略。给定在线社交网络G=（V,E,P,H）,H表示用户之间信息交互量,已知虚假信息传播源集合S⊆V,虚假信息交互量最小化问题是从E中选取哪K条边,使得这些边被阻断之后,虚假信息在用户之间的交互总量最小。首先证明了该问题是NP-困难的,进而证明了问题的目标函数计算是#P-困难。其次,证明了该问题目标函数既不是次模函数也不是超模函数。再次,提出了两阶段贪婪算法（TSGA）来解决该问题,即先获取候选集合E^sa,然后选取阻断集合E'。最后,通过实际在线社交网络数据对模型和算法的有效性进行了分析,实验表明本文提出的算法比现有算法更加有效。     

基于复杂网络的投资组合优化研究

本文基于复杂网络的局部聚类系数改进了传统的全局最小方差投资组合模型。首先通过股票对数收益率的相关系数矩阵构造股票关联网络,然后计算股票关联网络的局部聚类系数,最后通过全局最小方差模型确定最佳投资组合。将改进后的模型应用于A股市场,经过夏普比率、信息比率和欧米茄比率的对比分析得出改进后的投资组合模型在样本外的表现优于传统的全局最小方差投资组合模型。