多工厂环境下考虑个体利益的多目标协同生产计划模型及算法

针对由多个工厂组成的分布式系统,考虑不同工厂的个体利益诉求,构建了多目标协同生产计划模型。在该模型中,以最大化整体收益作为第一个优化目标;同时,基于亚当斯的公平理论,利用偏离系数法,以最小化个体收益平衡偏差作为第二个优化目标。结合模型结构特点,基于快速非支配排序遗传算法,设计了相应的求解过程。最后,通过一个算例验证表明,本文设计的计划模型和求解方法,不仅可以从网络集成角度协调各个工厂的生产、库存和运输活动,而且能够实现整体利益和个体利益非一致性的最小化。     

考虑个体保护意识的关联信用风险传染机理研究

针对关联信用风险及其传染这一热点和难点问题,本文基于复杂网络异质平均场理论,运用风险传播动力学SIR经典模型,探讨风险信息促成的个体保护意识对关联信用风险传染的影响机理,并在BA无标度网络中进行数值仿真分析。研究结果表明:被感染个体数量、个体反应强度、有保护意识的易感个体比例与关联信用风险传染阈值正相关;考虑个体保护意识、增强易感个体反应强度以及提高有保护意识的易感个体比例能够有效抑制关联信用风险的传染速度和传染规模,并且能够延缓关联信用风险高峰期的到来。     

Populations with individual variation in dispersal in heterogeneous environments: Dynamics and competition with simply diffusing populations

We consider a model for a population in a heterogeneous environment, with logistic-type local population dynamics, under the assumption that individuals can switch between two different nonzero rates of diffusion. Such switching behavior has been observed in some natural systems. We study how environmental heterogeneity and the rates of switching and diffusion affect the persistence of the population. The reactiondiffusion systems in the models can be cooperative at some population densities and competitive at others. The results extend our previous work on similar models in homogeneous environments. We also consider competition between two populations that are ecologically identical, but where one population diffuses at a fixed rate and the other switches between two different diffusion rates. The motivation for that is to gain insight into when switching might be advantageous versus diffusing at a fixed rate. This is a variation on the classical results for ecologically identical competitors with differing fixed diffusion rates, where it is well known that "the slower diffuser wins".     

298.15K下果糖水溶液中卤化钠单个离子活度系数

利用离子选择性电极和甘汞电极分别测定了NaX+果糖+水体系中的单个离子活度系数和离子平均活度系数.结果表明:基于Debye-Hückel扩展方程和Pitzer方程求得的单个离子活度系数彼此一致;由单个离子加合求得的与直接测定的平均离子活度系数也很一致;随果糖含量的增大,单个离子活度系数减小;在相同混合溶剂(果糖+水)和相等电解质浓度条件下,对于不同的NaX,Na+的活度系数大小顺序为NaFNaClNaBr.基于离子间的相互作用对结果进行了讨论.     

A Second Descent Problem for Quadratic Forms

Let F be a field of characteristic different from 2. We discuss a new descent problem for quadratic forms, complementing the one studied by Kahn and Laghribi. More precisely, we conjecture that for any quadratic form q over F and any Im(W(F) W(F(q))), there exists a quadratic form W(F) such that dim 2 dim and _F(q), where F(q) is the function field of the projective quadric defined by q = 0. We prove this conjecture for dim 3 and any q, and get partial results for dim {4, 5,6}. We also give other related results.     

气相色谱-质谱法在人体气味分析中的应用进展

气相色谱-质谱法（GC-MS）是目前分析人体气味的主要技术手段，其不但可以分析人体气味的组成成分，还可以比较不同个体气味之间的差异。该文首先介绍了人体气味的提取和样品前处理的手段，随后对GC-MS在人体气味的采集及储存、成分分析及差异性研究、用于个体识别和健康表征等方面进行了综述，最后对GC-MS在人体气味分析中的发展趋势进行了展望。     

Electrochemical determination of standard thermal diffusion characteristics for chlorides of hydrogen and potassium in water-ethanol solutions

Initial and steady-state temperature coefficients of the voltage generated by thermogalvanic cells comprising silver chloride and quinhydrone electrodes in the systems HCl-H₂O-C₂H₅OH and KCl-H₂O-C₂H₅OH are determined. Standard thermal diffusion Soret coefficients, the entropy of thermal diffusion transport of electrolytes, and the entropy of mobile ions H⁺, K⁺, and Cl^? are calculated for 298 K. The effect the nature of ions and the solvent composition exert on the obtained thermal diffusion transport characteristics is considered in terms of the De Bethune theory.     

用变长度“T”形法测量单根纤维热导率

为了解决"T"形法中的接触热阻问题,本文在不改变纤维与热线之间的接触节点的前提下,通过测量同一根纤维不同长度对应的表观热阻,同时得到了纤维热导率以及节点的接触热阻.用变长度"T"形法测量得到 Pt 丝以及两根沥青基碳纤维的热导率分别为 73,480 和 500 W m-1 K-1.     

利用场分布计算单腔微波参量

介绍了利用加速管的场分布计算单腔微波参量的一种方法. 在已知耦合腔链各本征模式的谐振频率和电场分布的条件下，可以通过回路方程组求出耦合腔链的单腔频率和腔间耦合系数. 这种方法给加速管设计和调谐带来了很大帮助，在加速腔数目较多或者结构非均匀的条件下尤为有效.     

Neural networks and bounded rationality

Traditionally the emphasis in neural network research has been on improving their performance as a means of pattern recognition. Here we take an alternative approach and explore the remarkable similarity between the under-performance of neural networks trained to behave optimally in economic situations and observed human performance in the laboratory under similar circumstances. In particular, we show that neural networks are consistent with observed laboratory play in two very important senses. Firstly, they select a rule for behavior which appears very similar to that used by laboratory subjects. Secondly, using this rule they perform optimally only approximately 60% of the time.