Commentary About the Assertion and Impact of the New Left Movement in America in the 1960s

The New Left movement in America in the 1960s made a violent attack on the human oppression and devastation brought by the developed industrialized society and arouse intense echo among the post-war American young people. The New Left movement took on a tint of keen idealism and a tendency of anarchism, and was more a cultural and ideological revolution than an economic revolution. This movement had a great impact on America: It compelled the American troops to withdraw from Vietnam; It shook the traditional values in America; and it advanced the reform in the American society

Analyzing the Connotation of Mao Zedong's Nationalism

Combined with China's reality, Mao Zedong's nationalism characteristic of the age came into being during the revolutionary practice. The pith of it is anti-imperialism and anti-feudalism; The final aim of it is to realize socialism and communism; Internationalism is its reasonable kernel; To further the equality, unity and prosperity of all the ethnicities in the country is one of its significant prospects; And to stick to the principle of giving priority to self-dependence and striving for foreign aid as auxiliary is its concernful content. For the Chinese people who have entered into a new era, Mao's nationalism is still a precious fortune

Structural basis for sequence specific DNA binding and protein dimerization of HOXA13.

The homeobox gene (HOXA13) codes for a transcription factor protein that binds to AT-rich DNA sequences and controls expression of genes during embryonic morphogenesis. Here we present the NMR structure of HOXA13 homeodomain (A13DBD) bound to an 11-mer DNA duplex. A13DBD forms a dimer that binds to DNA with a dissociation constant of 7.5 nM. The A13DBD/DNA complex has a molar mass of 35 kDa consistent with two molecules of DNA bound at both ends of the A13DBD dimer. A13DBD contains an N-terminal arm (residues 324 - 329) that binds in the DNA minor groove, and a C-terminal helix (residues 362 - 382) that contacts the ATAA nucleotide sequence in the major groove. The N370 side-chain forms hydrogen bonds with the purine base of A5* (base paired with T5). Side-chain methyl groups of V373 form hydrophobic contacts with the pyrimidine methyl groups of T5, T6* and T7*, responsible for recognition of TAA in the DNA core. I366 makes similar methyl contacts with T3* and T4*. Mutants (I366A, N370A and V373G) all have decreased DNA binding and transcriptional activity. Exposed protein residues (R337, K343, and F344) make intermolecular contacts at the protein dimer interface. The mutation F344A weakens protein dimerization and lowers transcriptional activity by 76%. We conclude that the non-conserved residue, V373 is critical for structurally recognizing TAA in the major groove, and that HOXA13 dimerization is required to activate transcription of target genes

AN CBRSIR FEATURES COMPRESSION APPROACH BASED ON DPSO AND SVM

The number of image features used by content-based remote sensing image retrieval (CBRSIR) system is not less than one hundred, and the image amount is very large, at the same time, the time cost is very important to the retrieval system. So the image feature compression is a crucial subject to CBRSIR. This paper proposed a high dimensional feature’s compression approach based on discrete particle swarm optimization (DPSO) and support vector machine (SVM). This approach trained the SVM classifier by DPSO, and gained the particle’s fitness by both the train data and the verification data. By iterative processing, the optimized high dimensional feature compression result achieved. This paper addressed the theory and the flow of the new approach in detail and the experiment verified the effectiveness of the new approach. 1

Influences of Stone–Wales defects on the structure, stability and electronic properties of antimonene: A first principle study

AbstractDefects are inevitably present in materials, and their existence strongly affects the fundamental physical properties of 2D materials. Here, we performed first-principles calculations to study the structural and electronic properties of antimonene with Stone–Wales defects, highlighting the differences in the structure and electronic properties. Our calculations show that the presence of a SW defect in antimonene changes the geometrical symmetry. And the band gap decreases in electronic band structure with the decrease of the SW defect concentration. The formation energy and cohesive energy of a SW defect in antimonene are studied, showing the possibility of its existence and its good stability, respectively. The difference charge density near the SW defect is explored, by which the structural deformations of antimonene are explained. At last, we calculated the STM images for the SW defective antimonene to provide more information and characters for possible experimental observation. These results may provide meaningful references to the development and design of novel nanodevices based on new 2D materials

A Convolutional Long Short-Term Memory Neural Network Based Prediction Model

In recent years, the market demand for online car-hailing service has expanded dramatically. To satisfy the daily travel needs, it is important to predict the supply and demand of online car-hailing in an accurate manner, and make active scheduling based on the predicted gap between supply and demand. This paper puts forward a novel supply and demand prediction model for online carhailing, which combines the merits of convolutional neural network (CNN) and long short-term memory (LSTM). The proposed model was named convolutional LSTM (C-LSTM). Next, the original data on online car-hailing were processed, and the key features that affect the supply and demand prediction were extracted. After that, the C-LSTM was optimized by the AdaBound algorithm during the training process. Finally, the superiority of the C-LSTM in predicting online car-hailing supply and demand was proved through contrastive experiments