具有变时滞的离散双向联想记忆神经网络的全局指数稳定性

利用Lyapunov函数和线性矩阵不等式(LMI),给出了判定一类双向联想记忆(BAM)神经网络模型的指数稳定的充分性条件.该条件去掉了以往论文中所要求的激活函数单调,可微分的条件,而且所得结果利用里的工具易于检测.并举例说明本文结果的有效性.     

Animal bone meal as an efficient catalyst for crossed-aldol condensation

α,α′-Bis(substituted benzylidene)cycloalkanones were efficiently prepared from cycloalkanones and benzaldehydes in water by using animal bone meal (ABM) or ABM modified as a catalyst. It is shown that ABM modified can be quantitatively recovered and be reused effectively for many times. A comparison of catalytic activity of these catalysts is discussed.     

Temperature-Induced Changes in the Membrane Fluidity of Zymomonas Mobilis: Study Using a New Flourescent Probe, ABM

The use of a newly synthesized fluorescent probe, ABM (conditional name), to determine changes of membrane composition (fluidity), biomass yield, ethanol productivity, and yield of Zymomonas mobilis under anaerobic conditions was investigated. A strong correlation between ABM spectral characteristics in cell suspension and all obtained parameters was observed. It was concluded that application of ABM is a useful tool to detect temperature-induced changes in the membrane composition of Zymomonas mobilis.     

Multi-Agent Social and Organizational Modeling of Electric Power and Natural Gas Markets

Complex Adaptive Systems (CAS) can be applied to investigate large-scale socio-cognitive-technical systems. Viewing such systems from a multi-agent social and organizational perspective allows innovative computational policy analysis. Argonne National Laboratory (ANL) has taken such a perspective to produce an integrated model of the electric power and natural gas markets. This model focuses on the organizational interdependencies between these markets. These organizational interdependencies are being strained by fundamental market transformations.