Zhe Wang
共找到 7 条论著文献

1、Neutrino physics with JUNO 2016

摘要:1 online resource
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2、Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

摘要:Deep convolutional networks have achieved great success for visual recognition in still images. However, for action recognition in videos, the advantage over traditional methods is not so evident. This paper aims to discover the principles to design effective ConvNet architectures for action recognition in videos and learn these models given limited training samples. Our first contribution is temporal segment network (TSN), a novel framework for video-based action recognition. which is based on the idea of long-range temporal structure modeling. It combines a sparse temporal sampling strategy and video-level supervision to enable efficient and effective learning using the whole action video. The other contribution is our study on a series of good practices in learning ConvNets on video data with the help of temporal segment network. Our approach obtains the state-the-of-art performance on the datasets of HMDB51 ( ) and UCF101 ( ). We also visualize the learned ConvNet models, which qualitatively demonstrates the effectiveness of temporal segment network and the proposed good practices (Models and code at https://github.com/yjxiong/temporal-segment-networks ).
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3、Surface-adsorbed ions on TiO2 nanosheets for selective photocatalytic CO2 reduction

4、Study on mechanical properties of the steel for large-size atmospheric storage tank after fire

5、Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity

摘要:Many genetic loci affect circulating lipid levels, but it remains unknown whether lifestyle factors, such as physical activity, modify these genetic effects. To identify lipid loci interacting with physical activity, we performed genome-wide analyses of circulating HDL cholesterol, LDL cholesterol, and triglyceride levels in up to 120,979 individuals of European, African, Asian, Hispanic, and Brazilian ancestry, with follow-up of suggestive associations in an additional 131,012 individuals. We find four loci, in/near CLASP1, LHX1, SNTA1, and CNTNAP2, that are associated with circulating lipid levels through interaction with physical activity; higher levels of physical activity enhance the HDL cholesterol-increasing effects of the CLASP1, LHX1, and SNTA1 loci and attenuate the LDL cholesterol-increasing effect of the CNTNAP2 locus. The CLASP1, LHX1, and SNTA1 regions harbor genes linked to muscle function and lipid metabolism. Our results elucidate the role of physical activity interactions in the genetic contribution to blood lipid levels.GWAS have identified more than 500 genetic loci associated with blood lipid levels. Here, the authors report a genome-wide analysis of interactions between genetic markers and physical activity, and find that physical activity modifies the effects of four genetic loci on HDL or LDL cholesterol.
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6、Parvovirus B19 infection associated with Hashimoto's thyroiditis in adult

摘要:Objective: Parvovirus B19 is a common human pathogen, which has been linked to autoimmune diseases recently. The aim of the study is to evaluate whether B19 is involved in adult Hashimoto's thyroiditis (HT).Methods: Eighty-six thyroid tissues from the adult patients with a spectrum of thyroid disorders were examined for B19 DNA and capsid protein by nested PCR, in-situ hybridization and immunohistochemistry. The presence of viral DNA in HT epithelium was studied by laser-capture microdissection and sequencing of PCR products. The expressions of nuclear factor-κB (NF-κB) and interleukin-6 were investigated by immunohistochemistry.Results: B19 DNA was significantly present in HT tissues by both PCR (29/32, 90.6%) and in-situ hybridization (23/32, 71.9%, all p p Conclusions: The presence of B19 nuclear acid and viral protein was significantly common in HT tissues and it suggested a possible role of B19 in adult HT.
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7、Importance of protein flexibility on molecular recognition: modeling binding mechanisms of aminopyrazine inhibitors to Nek2 2017

摘要:1 online resource Abstract : NIMA-related kinase 2 (Nek2) plays a significant role in cell cycle regulation, and overexpression of Nek2 has been observed in several types of carcinoma, suggesting it is a potential target for cancer therapy. Computational methods were employed for deep understanding the interaction between Nek2 and inhibitors for future inhibitor design. Abstract : NIMA-related kinase 2 (Nek2) plays a significant role in cell cycle regulation, and overexpression of Nek2 has been observed in several types of carcinoma, suggesting it is a potential target for cancer therapy. In this study, we attempted to gain more insight into the binding mechanisms of a series of aminopyrazine inhibitors of Nek2 through multiple molecular modeling techniques, including molecular docking, molecular dynamics (MD) simulations and free energy calculations. The simulation results showed that the induced fit docking and ensemble docking based on multiple protein structures yield better predictions than conventional rigid receptor docking, highlighting the importance of incorporating receptor flexibility into the accurate predictions of the binding poses and binding affinities of Nek2 inhibitors. Additionally, we observed that the Molecular Mechanics/Generalized Born Surface Area (MM/GBSA) calculations did not show better performance than the docking scoring to rank the binding affinities of the studied inhibitors, suggesting that MM/GBSA is system-dependent and may not be the best choice for the Nek2 systems. Moreover, the detailed information on protein–ligand binding was characterized by the MM/GBSA free energy decomposition, and a number of derivatives with improved docking scores were designed. It is expected that our study can provide valuable information for the future rational design of novel and potent inhibitors of Nek2.
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