DIPL 6601 AA SINO-US Relations

The U.S.-China relationship has become one of the most important bilateral relations in the world. Its evolution and management wilt have a decisive impact on international peace and security in the twenty-first century. China’s ascendance in world affairs is also one of the most significant and challenging foreign policy issues facing the United States today. This course aims to introduce students to the history of evolution of the bilateral relations, the dynamics of interactions and policy-making on both sides, and to discuss a number of key issues in the relationship

DIPL 6601 AA SINO-US Relations

The U.S.-China relationship has become the most important bilateral relations in the world. Its evolution and management will have a decisive impact on international peace and security in the twenty-first century. China’s ascendance in world affairs is also one of the most significant and challenging foreign policy issues facing the United States today. This course aims to introduce the history of evolution of the bilateral relations, the dynamics of interactions and policy-making on both sides, and to discuss a number of key issues in this relationship

\u3cem\u3eE. coli \u3c/em\u3eb3639 and b3634 are orthologs of Mrub_2047 and Mrub_1372

This project is part of the Meiothermus ruber genome analysis project, which uses the bioinformatics tools associated with the Guiding Education through Novel Investigation –Annotation Collaboration Toolkit (GENI-ACT) to predict gene function. We investigated the biological function of the genes Mrub_2047 and Mrub_1372. We predict that Mrub_2047 encodes the enzyme fused 4\u27-phosphopantothenoylcysteine decarboxylase/phosphopantothenoylcysteine synthetase, FMN-binding (DNA coordinates 2083590..2084816 on the forward strand), which is the first and the second steps of the CoA biosynthesis pathway (KEGG map number 00770). It catalyzes the conversion of (R)-4’-phosphopantothenate to (R)-4’-phosphopantothenoyl-L-cysteine and the conversion of (R)-4’-phosphopantothenoyl-L-cysteine to 4’-phosphopantetheine. The E. coli K12 MG1655 ortholog is predicted to be b3639, which has the gene identifier coaBC. We predict that Mrub_1372 encodes the enzyme pantetheine-phosphate adenylyltransferase (DNA coordinates 1405663..1406160 on the forward strand), which is the third step of the CoA biosynthesis pathway (KEGG map number 00770). It catalyzes the conversion of 4’-phosphopantetheine to Dephospho-CoA. The E. coli K12 MG1655 ortholog is predicted to be b3634, which has the gene identifier coaD

Enhanced adhesion of superhydrophobic ZnO surface

The superhydrophobicity and the strong solid-liquid adhesion of the dually structured ZnO surface are attributed to the suitable size of microstructure and nanostructure. This phenomenon, so different from the Lotus effect, can be called the Petal effect— the super hydrophobicity and the enhanced solid-liquid adhesion coexist on the same surface. The Cassie impregnating model was proposed to understand the underlying reason

Perovskite solar cells

The semiconductor perovskite CsPbBr2I was doped with Mn2+ to modulate its optical and photovoltaic performance. The Mn2+-doped CsPb0.9Mn0.1Br2I exhibited improved crystalline quality. Ultraviolet and visible spectroscopy of Mn2+-doped CsPb0.9Mn0.1Br2I revealed enhanced absorption capacity. Although the efficiency was not as good as desired, the enhanced light absorption of CsPb0.9Mn0.1Br2I still boosted the photovoltaic performance when it was utilized as a light absorber in perovskite solar cells, along with a low-cost carbon electrode. Compared with its counterpart CsPbBr2I, the doped CsPb0.9Mn0.1Br2I based solar cells demonstrated long-term air stability. Not only long-lasting stability was achieved by doping with Mn2+, the toxicity was also lessened by replacing the amount of hazardous lead in perovskite with harmless manganese

Upregulation of the microRNA cluster at the Dlk1-Dio3 locus in lung adenocarcinoma.

Mice in which lung epithelial cells can be induced to express an oncogenic Kras(G12D) develop lung adenocarcinomas in a manner analogous to humans. A myriad of genetic changes accompany lung adenocarcinomas, many of which are poorly understood. To get a comprehensive understanding of both the transcriptional and post-transcriptional changes that accompany lung adenocarcinomas, we took an omics approach in profiling both the coding genes and the non-coding small RNAs in an induced mouse model of lung adenocarcinoma. RNAseq transcriptome analysis of Kras(G12D) tumors from F1 hybrid mice revealed features specific to tumor samples. This includes the repression of a network of GTPase-related genes (Prkg1, Gnao1 and Rgs9) in tumor samples and an enrichment of Apobec1-mediated cytosine to uridine RNA editing. Furthermore, analysis of known single-nucleotide polymorphisms revealed not only a change in expression of Cd22 but also that its expression became allele specific in tumors. The most salient finding, however, came from small RNA sequencing of the tumor samples, which revealed that a cluster of ∼53 microRNAs and mRNAs at the Dlk1-Dio3 locus on mouse chromosome 12qF1 was markedly and consistently increased in tumors. Activation of this locus occurred specifically in sorted tumor-originating cancer cells. Interestingly, the 12qF1 RNAs were repressed in cultured Kras(G12D) tumor cells but reactivated when transplanted in vivo. These microRNAs have been implicated in stem cell pleuripotency and proteins targeted by these microRNAs are involved in key pathways in cancer as well as embryogenesis. Taken together, our results strongly imply that these microRNAs represent key targets in unraveling the mechanism of lung oncogenesis

A fast and self-adaptive on-line learning detection system

© 2018 The Authors. Published by Elsevier Ltd. This paper proposes a method to allow users to select target species for detection, generate an initial detection model by selecting a small piece of image sample and as the movie plays, continue training this detection model automatically. This method has noticeable detection results for several types of objects. The framework of this study is divided into two parts: the initial detection model and the online learning section. The detection model initialization phase use a sample size based on the proportion of users of the Haar-like features to generate a pool of features, which is used to train and select effective classifiers. Then, as the movie plays, the detecting model detects the new sample using the NN Classifier with positive and negative samples and the similarity model calculates new samples based on the fusion background model to calculate a new sample and detect the relative similarity to the target. From this relative similarity-based conservative classification of new samples, the conserved positive and negative samples classified by the video player are used for automatic online learning and training to continuously update the classifier. In this paper, the results of the test for different types of objects show the ability to detect the target by choosing a small number of samples and performing automatic online learning, effectively reducing the manpower needed to collect a large number of image samples and a large amount of time for training. The Experimental results also reveal good detection capability