四氯合金属(II)酸烷铵在280-500K间的热力学性质和相变:III.四氯合镉(II)酸n-十二烷铵

在280-500K温度范围内用自动绝热量热计测量了(n-C~1~2H~2~5NH~3)~2CdCl~4的热容。在所研究的温度范围内发现一个固-固相转变, 其相变温度, 相变焓和相变熵分别为(332.4±0.1)K,(48.35±0.33)kJ.mol^-^1和(145.5±1.0)J.K^-^1.mol^-^1。结合已发表的(n-C~1~2H~2~5NH~3)~2MCl~4(M=Mn, Zn)的相变参数讨论了此类配合物的中心原子对其相变的影响。[MCl~4]^2^-配位方式的不同被认为是该类配合物的相变热参数产生差异的主要原因。     

Entropy in the NUT—Kerr—Newman Black Holes in the Background of de Sitter Spacetime

We calculate the entropy of the fermion field in the NUT-Kerr-Newman black holes in the background of the de Sitter spacetime by using the improved brick-wall method and the membrane model.Here the Euler characteristic of the black holes is over two.The results show that,as the cut-off is properly chosen,the entropy in the black hole satisfies the Bekenstein-Hawking area law.     

吸附树脂对对甲苯胺的静态吸附行为及其热力学性质的研究

对比 Amberlite XAD-4与两种新型吸附树脂 NK和新 H对对甲苯胺的静态吸附行为 ,根据吸附等温线研究并讨论吸附热力学性质 .两种新型吸附树脂对对甲苯胺的吸附能力明显强于 Amberlite XAD-4 ,微孔作用机制及表面部分极性起决定作用 .吸附焓变 ΔH<0表明吸附为放热过程 ,降低温度有利于吸附 .对吸附焓变和自由能变的讨论同时表明树脂对对甲苯胺的吸附为多层物理吸附过程 .吸附熵变 ΔS表明吸附树脂表面的不均匀性和吸附质分子在树脂表面的分布及其局域运动与吸附有密切关系 .     

A New Holographic Entropy Bound from Conformal Field Theory at the Killing Horizon

A new holographic entropy bound is obtained by using conformal field theory at the Killing horizon.The entropy bound is tighter than the well-known bounds,such as the Bekenstein,Bekenstein-Mayo and‘t Hooft bounds.The result shows that the entropy of a system decreases when quantum effects are included.Therefore,the quantum effect will increase the degree of order of the system.     

道路客运业存在的问题及其预防事故的对策

近10年来，我国每年死伤于道路交通事故人数约60余万人，其中死10万人左右，伤50万人左右，平均每天死亡273人以上，居世界第一，今年一季度，全国共发生一次性死亡10人以上的道路交通事故26起，死359人，伤464人，据资料统计，引发     

非等熵流气体动力学方程组解的生命跨度

考虑一维非等熵流气体动力学方程组Cauchy问题，给出了其经典解产生奇性的一个充分条件，并证明了解的生命跨度的精确估计。     

凸规划的极大熵函数序列及其收敛性

为了消除凸规划问题中极大熵方法所导致的数值病态，该文应用Lagrange乘子法及赋范原理，给出一类凸规划问题的极大熵函数序列，并证明该序列一致收敛于凸规划的最优解。     

Fuzzy Entropy： Axiomatic Definition and Neural Networks Model

The measure of uncertainty is adopted as a measure of information. The measures of fuzziness are known as fuzzy information measures. The measure of a quantity of fuzzy information gained from a fuzzy set or fuzzy system is known as fuzzy entropy. Fuzzy entropy has been focused and studied by many researchers in various fields. In this paper, firstly, the axiomatic definition of fuzzy entropy is discussed. Then, neural networks model of fuzzy entropy is proposed, based on the computing capability of neural networks. In the end, two examples are discussed to show the efficiency of the model.