Improvement of the extraction ability of bis(2-propyloxy)calix[4]arene-crown-6 toward cesium cation by introducing an intramolecular triple cooperative effect

2018 ◽  
Vol 199 ◽  
pp. 97-104 ◽  
Author(s):  
Rong Yi ◽  
Chao Xu ◽  
Taoxiang Sun ◽  
Yaxing Wang ◽  
Gang Ye ◽  
...  
2000 ◽  
Vol 65 (11) ◽  
pp. 1820-1832
Author(s):  
Miloslav Pekař ◽  
Pavel Kopecký

Rheokinetics of polybutadiene-based polyurethanes was studied. Sixteen mixtures differing in the miscibility of reactive components and hard segments contents were prepared. Regardless of the miscibility of the components, the rheokinetics behaviour is qualitatively very similar. The viscous response part is formed and finished much earlier than the elastic part. The quantitative dissimilarities, caused by cooperative effect of miscibility and differences in reactivity, are described. Using a well miscible initial mixture need not give the best results as a reactive crosslinker can easily react with isocyanate and separate from the rest of the reaction mixture thus impairing the final phase structure.


Processes ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 919
Author(s):  
Wanlu Jiang ◽  
Chenyang Wang ◽  
Jiayun Zou ◽  
Shuqing Zhang

The field of mechanical fault diagnosis has entered the era of “big data”. However, existing diagnostic algorithms, relying on artificial feature extraction and expert knowledge are of poor extraction ability and lack self-adaptability in the mass data. In the fault diagnosis of rotating machinery, due to the accidental occurrence of equipment faults, the proportion of fault samples is small, the samples are imbalanced, and available data are scarce, which leads to the low accuracy rate of the intelligent diagnosis model trained to identify the equipment state. To solve the above problems, an end-to-end diagnosis model is first proposed, which is an intelligent fault diagnosis method based on one-dimensional convolutional neural network (1D-CNN). That is to say, the original vibration signal is directly input into the model for identification. After that, through combining the convolutional neural network with the generative adversarial networks, a data expansion method based on the one-dimensional deep convolutional generative adversarial networks (1D-DCGAN) is constructed to generate small sample size fault samples and construct the balanced data set. Meanwhile, in order to solve the problem that the network is difficult to optimize, gradient penalty and Wasserstein distance are introduced. Through the test of bearing database and hydraulic pump, it shows that the one-dimensional convolution operation has strong feature extraction ability for vibration signals. The proposed method is very accurate for fault diagnosis of the two kinds of equipment, and high-quality expansion of the original data can be achieved.


Author(s):  
Jian Zhao ◽  
He Cheng ◽  
Huanyu Li ◽  
Yan-Jie Wang ◽  
Qingyan Jiang ◽  
...  

Developing advanced negative and positive electrode materials for asymmetric supercapacitors (ASCs) as the electrochemical energy storage can enable the device to reach high energy/power densities resulting from the cooperative effect...


2015 ◽  
Vol 116 (12) ◽  
pp. 2735-2743 ◽  
Author(s):  
Yinliang Xie ◽  
Hao Bai ◽  
Yanfeng Liu ◽  
Dixie L. Hoyle ◽  
Tao Cheng ◽  
...  

1991 ◽  
Vol 177 (3) ◽  
pp. 1133-1140 ◽  
Author(s):  
Giampaolo Tortora ◽  
Stefano Pepe ◽  
Hiroshi Yokozaki ◽  
Scott Meissner ◽  
Yoon S. Cho-Chung

2001 ◽  
Vol 40 (17) ◽  
pp. 4504-4506 ◽  
Author(s):  
Xiankai Sun ◽  
Darren W. Johnson ◽  
Kenneth N. Raymond ◽  
Edward H. Wong
Keyword(s):  

2015 ◽  
Vol 14 (01) ◽  
pp. 1550002 ◽  
Author(s):  
Kaushik Hatua ◽  
Prasanta K. Nandi

Multimetallocene complexes ( Cp – M n– Cp ) of Be , Mg and Ca have been considered for the theoretical study of static second hyperpolarizability using a number of DFT functionals. Owing to the cooperative effect in bonding, beryllium forms multiberyllocene complexes ( Cp – Be n– Cp ) which have sufficient thermal stability with respect to dissociation into neutral fragments up to n = 10. On the other hand, multimetallocene complexes of Mg and Ca are found to be stable for n ≤ 5 which may be due to the weaker covalent bonding interaction between the larger metal atoms. The rather small variation of linear and cubic polarizabilities of Cp – Be n– Cp complexes beyond n = 5 arises from the rather weaker charge transfer transitions. The difference in NLO property among the investigated metal complexes arises from the extent of charge transfer from the terminal metal atoms and the distance between them. The charge transfer at longer distances in the ground state of Mg and Ca complexes leads to more intense electronic transition — the spectroscopic parameters of which strongly favors the enhancement of second hyperpolarizability.


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