检索结果-内蒙古大学图书馆

Inside Cover: A novel in vivo Cerenkov luminescence image-guided surgery on primary and metastatic colorectal cancer (J. Biophotonics 3/2020)

学校读者我要写书评

暂无评论

Journal of Biophotonics 2020年第3期13卷

作者： Zeyu Zhang Yawei Qu Yu Cao Xiaojing Shi Hongbo Guo Xiaojun Zhang Sheng Zheng Haifeng Liu Zhenhua Hu Jie Tian Engineering Research Center of Molecular and Neuro Imaging of Ministry of Education School of Life Science and Technology Xidian University Xi'an China CAS Key Laboratory of Molecular Imaging Beijing Key Laboratory of Molecular Imaging The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Gastroenterology the Third Medical Centre Chinese PLA General Hospital Beijing China Department of Control Science and Engineering Harbin Institute of Technology Harbin China Department of Anorectal the Third medical Centre Chinese PLA General Hospital Beijing China University of Chinese Academy of Sciences Beijing China School of Information Sciences and Technology Northwest University Xi'an China Department of Nuclear Medicine Chinese PLA General Hospital Beijing China Beijing Advanced Innovation Center for Big Data-Based Precision Medicine School of Medicine Beihang University Beijing China

This study presents a novel intraoperative in vivo imaging approach which harnessed Cerenkov luminescence (CL) to detect primary and metastatic colorectal cancer (CRC) using clinically approved radiopharmaceuticals. In the mice and swine experiments, the proposed approach effectively improved the effect of CRC surgery. The approach is believed to be promising for utilizing CL in open surgery. Further details can be found in the article by Zeyu Zhang, Yawei Qu, Yu Cao et al. ( e201960152 )

关键词：

Cubic medium field equation public key cryptosystem

学校读者我要写书评

暂无评论

International Journal of network Security 2018年第3期20卷 472-477页

作者： Lu, Gang Xue, Linyuan Nie, Xuyun Qin, Zhiguang Liu, Bo School of Information and Software Engineering University of Electronic Science and Technology of China 4 Jianshe North Rd 2nd Section Chenghua Qu Chengdu610054 China State Key Laboratory of Information Security Institute of Information Engineering Beijing100093 China Network and Data Security Key Laboratory of Sichuan Province Chengdu610054 China

Medium Field Equation (MFE) multivariate public key cryptosystems were broken by High Order Linearization Equation (HOLE) attack. In order to avoid HOLE attack, we proposed an improvement of MFE, Cubic MFE public key encryption scheme. In our construction, multiplications of three second order matrices were used to get a set of cubic polynomials in the central map. Through theoretical analysis and computer experiments, the Cubic MFE is shown to be secure against HOLE attack and other existing attacks. © International Journal of network Security.

关键词： Linearization

The Prime Focus Spectrograph Galaxy Evolution Survey

学校读者我要写书评

暂无评论

arXiv 2022年

作者： Greene, Jenny E. Bezanson, Rachel Ouchi, Masami Silverman, John Arnouts, Stéphane Goulding, Andy D. Gu, Meng Gunn, James E. Harikane, Yuichi Heckman, Timothy Horowitz, Benjamin Johnson, Sean D. Kashino, Daichi Lee, Khee-Gan Leja, Joel Lin, Yen-Ting Marchesini, Danilo Matsuoka, Yoshiki Nagamine, Kentaro Ono, Yoshiaki Pearl, Alan Shibuya, Takatoshi Strauss, Michael A. Strom, Allison L. Sugahara, Yuma Tresse, Laurence Yabe, Kiyoto Yamashita, Takuji Akiyama, Masayuki Ata, Metin Azevedo, Gabriel M. Chen, Chian-Chou Chies-Santos, Ana L. Ellis, Richard S. Hahn, Changhoon Roier, Gabriel Roberto Hauschild Ichikawa, Kohei Ito, Kei Jiang, Linhua Jing, Y.P. Kawamuro, Taiki Kobayashi, Chiaki Kraljic, Katarina Le Brun, Vincent Liu, Xin Melchior, Peter Mendes De Oliveira, Claudia L. Monteiro-Oliveira, Rogério Nagao, Tohru Onodera, Masato Overzier, Roderik A. Schiminovich, David Schramm, Malte Shimakawa, Rhythm Sodré, Laerte Storchi-Bergmann, Thaisa Suzuki, Tomoko L. Tanaka, Masayuki Toba, Yoshiki Umehata, Hideki Wang, Jiaqi Welker, Charlotte Whitaker, Katherine Xu, Kun Xue, Yongquan Yang, Xiaohu Zu, Ying Department of Astrophysical Sciences Princeton University Princeton NJ08544 United States Department of Physics and Astronomy University of Pittsburgh PittsburghPA15260 United States Institute for Cosmic Ray Research The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8582 Japan The University of Tokyo 5-1-5 Kashiwanoha Chiba Kashiwa277-8583 Japan Department of Astronomy School of Science The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-0033 Japan Aix Marseille University CNRS CNES LAM Marseille France Johns Hopkins University United States University of Michigan United States Institute for Advanced Research Nagoya University Nagoya464-8601 Japan Division of Particle and Astrophysical Science Graduate School of Science Nagoya University Nagoya464-8602 Japan Department of Astronomy & Astrophysics The Pennsylvania State University University ParkPA16802 United States Institute for Computational & Data Sciences The Pennsylvania State University University ParkPA United States Institute for Gravitation and the Cosmos The Pennsylvania State University University ParkPA16802 United States Institute of Astronomy and Astrophysics Academia Sinica Taiwan Tufts University United States Research Center for Space and Cosmic Evolution Ehime University Japan Theoretical Astrophysics Department of Earth & Space Science Graduate School of Science Osaka University 1-1 Machikaneyama Osaka Toyonaka560-0043 Japan Department of Physics & Astronomy University of Nevada Las Vegas 4505 S. Maryland Pkwy Las VegasNV89154-4002 United States Kitami Institute of Technology 165 Koen-cho Hokkaido Kitami090-8507 Japan National Astronomical Observatory of Japan 2-21-1 Osawa Mitaka Tokyo181-8588 Japan Waseda Research Institute for Science and Engineering Faculty of Science and Engineering Waseda University 3-4-1 Okubo Shinjuku Tokyo169-8555 Japan Astronomical Institute Tohoku University Japan Av. Bento Gonçalves RS Porto Alegre9500

We present the Prime Focus Spectrograph (PFS) Galaxy Evolution pillar of the 360-night PFS Subaru Strategic Program. This 130-night program will capitalize on the wide wavelength coverage and massive multiplexing capabilities of PFS to study the evolution of typical galaxies from cosmic dawn to the present. From Lyman α emitters at z ∼ 7 to probe reionization, drop-outs at z ∼ 3 to map the inter-galactic medium in absorption, and a continuum-selected sample at z ∼ 1.5, we will chart the physics of galaxy evolution within the evolving cosmic web. This article is dedicated to the memory of Olivier Le Fevre, who was an early advocate for the construction of PFS, and a key early member of the Galaxy Evolution Working Group. © 2022, CC BY.

关键词： Spectrographs

Multi-task representation learning for demographic prediction 38th

学校读者我要写书评

暂无评论

Multi-task representation learning for demographic predictio...

38th European Conference on Information Retrieval Research, ECIR 2016

作者： Wang, Pengfei Guo, Jiafeng Lan, Yanyan Xu, Jun Cheng, Xueqi CAS Key Laboratory of Network Data Science and Technology Institute of Computing Technology Beijing China

ISBN: (纸本)9783319306704

Demographic attributes are important resources for market analysis, which are widely used to characterize different types of users. However, such signals are only available for a small fraction of users due to the difficulty in manual collection process by retailers. Most previous work on this problem explores different types of features and usually predicts different attributes independently. However, manually defined features require professional knowledge and often suffer from under specification. Meanwhile, modeling the tasks separately may lose the ability to leverage the correlations among different attributes. In this paper, we propose a novel Multi-task Representation Learning (MTRL) model to predict users’ demographic attributes. Comparing with the previous methods, our model conveys the following merits: (1) By using a multitask approach to learn the tasks, our model leverages the large amounts of cross-task data, which is helpful to the task with limited data;(2) MTRL uses a supervised way to learn the shared semantic representation across multiple tasks, thus it can obtain a more general and robust representation by considering the constraints among tasks. Experiments are conducted on a real-world retail dataset where three attributes (gender, marital status, and education background) are predicted. The empirical results show that our MTRL model can improve the performance significantly compared with the state-of-the-art baselines. © Springer International Publishing Switzerland 2016.

关键词： Semantics

Quasi-free neutron knockout reaction reveals a small s-orbital component in the borromean nucleus 17B

学校读者我要写书评

暂无评论

arXiv 2021年

作者： Yang, Z.H. Kubota, Y. Corsi, A. Yoshida, K. Sun, X.-X. Li, J.G. Kimura, M. Michel, N. Ogata, K. Yuan, C.X. Yuan, Q. Authelet, G. Baba, H. Caesar, C. Calvet, D. Delbart, A. Dozono, M. Feng, J. Flavigny, F. Gheller, J.-M. Gibelin, J. Giganon, A. Gillibert, A. Hasegawa, K. Isobe, T. Kanaya, Y. Kawakami, S. Kim, D. Kiyokawa, Y. Kobayashi, M. Kobayashi, N. Kobayashi, T. Kondo, Y. Korkulu, Z. Koyama, S. Lapoux, V. Maeda, Y. Marqués, F.M. Motobayashi, T. Miyazaki, T. Nakamura, T. Nakatsuka, N. Nishio, Y. Obertelli, A. Ohkura, A. Orr, N.A. Ota, S. Otsu, H. Ozaki, T. Panin, V. Paschalis, S. Pollacco, E.C. Reichert, S. Roussé, J.-Y. Saito, A.T. Sakaguchi, S. Sako, M. Santamaria, C. Sasano, M. Sato, H. Shikata, M. Shimizu, Y. Shindo, Y. Stuhl, L. Sumikama, T. Sun, Y.L. Tabata, M. Togano, Y. Tsubota, J. Xu, F.R. Yasuda, J. Yoneda, K. Zenihiro, J. Zhou, S.-G. Zuo, W. Uesaka, T. Osaka University 10-1 Mihogaoka Ibaraki Osaka567-0047 Japan RIKEN Nishina Center Hirosawa 2-1 Wako Saitama351-0198 Japan Center for Nuclear Study University of Tokyo Hongo 7-3-1 Bunkyo Tokyo113-0033 Japan Département de Physique Nucléaire IRFU CEA Université Paris-Saclay Gif-sur-YvetteF-91191 France Advanced Science Research Center Japan Atomic Energy Agency Tokai Ibaraki319-1195 Japan CAS Key Laboratory of Theoretical Physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China School of Physical Sciences University of Chinese Academy of Sciences Beijing100049 China School of Physics State Key Laboratory of Nuclear Physics and Technology Peking University Beijing100871 China Department of Physics Hokkaido University Sapporo060-0810 Japan Nuclear Reaction Data Centre Hokkaido University Sapporo060-0810 Japan Institute of Modern Physics Chinese Academy of Sciences Lanzhou730000 China School of Nuclear Science and Technology University of Chinese Academy of Sciences Beijing100049 China Department of Physics Osaka City University Osaka558-8585 Japan Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen University Zhuhai Guangdong519082 China Institut für Kernphysik Technische Universität Darmstadt DarmstadtD-64289 Germany IPN Orsay Université Paris Sud IN2P3-CNRS Orsay CedexF-91406 France LPC Caen ENSICAEN Université de Caen Normandie CNRS/IN2P3 Caen CedexF-14050 France Department of Physics Tohoku University Aramaki Aza-Aoba 6-3 Aoba Sendai Miyagi980-8578 Japan Department of Applied Physics University of Miyazaki Gakuen-Kibanadai-Nishi 1-1 Miyazaki889-2192 Japan Center for Exotic Nuclear Studies Institute for Basic Science Daejeon34126 Korea Republic of Department of Physics University of Tokyo Hongo 7-3-1 Bunkyo Tokyo113-0033 Japan Department of Physics Tokyo Institute of Technology 2-12-1 O-Okayama Meguro Tokyo152-8551 Japan P.O. Box 51 DebrecenH-4001 H

A kinematically complete quasi-free (p, pn) experiment in inverse kinematics was performed to study the structure of the Borromean nucleus 17B, which had long been considered to have neutron halo. By analyzing the momentum distributions and exclusive cross sections, we obtained the spectroscopic factors for 1s1/2 and 0d5/2 orbitals, and a surprisingly small percentage of 9(2)% was determined for 1s1/2. Our finding of such a small 1s1/2 component and the halo features reported in prior experiments can be explained by the deformed relativistic Hartree-Bogoliubov theory in continuum, revealing a definite but not dominant neutron halo in 17B. The present work gives the smallest s- or p-orbital component among known nuclei exhibiting halo features, and implies that the dominant occupation of s or p orbitals is not a prerequisite for the occurrence of neutron halo. © 2021, CC BY.

关键词： Inverse kinematics

Correction: IRE1 promotes neurodegeneration through autophagy-dependent neuron death in the Drosophila model of Parkinson's disease

学校读者我要写书评

暂无评论

Cell death & disease 2020年第2期11卷 150页

作者： Cheng Yan Jingqi Liu Jiamei Gao Ying Sun Lei Zhang Haiyun Song Lei Xue Lixing Zhan Guanjun Gao Zunji Ke Yong Liu Jingnan Liu Key Laboratory of Nutrition and Metabolism Institute for Nutritional Sciences Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China. School of Medicine Xinxiang University Xinxiang Henan 453003 China. School of Life Science and Technology ShanghaiTech University Shanghai 201210 China. The State Key Laboratory of Cell Biology CAS Center for Excellence in Molecular Cell Science Innovation Center for Cell Signaling Network Institute of Biochemistry and Cell Biology Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China. School of Life Science and Technology Tongji University Shanghai 200092 China. Department of Biochemistry Basic Medical College Shanghai University of Chinese Traditional Medicine Shanghai 201203 China. Hubei Key Laboratory of Cell Homeostasis College of Life Sciences the Institute for Advanced Studies Wuhan University Wuhan 430072 China. liuyong31279@***. Key Laboratory of Nutrition and Metabolism Institute for Nutritional Sciences Shanghai Institutes for Biological Sciences Chinese Academy of Sciences Shanghai 200031 China. liujn@***. School of Life Science and Technology ShanghaiTech University Shanghai 201210 China. liujn@***.

Since online publication of this article, the authors noticed that some of the fly stocks were mislabelled in the methods and in Supplementary Figure 5. The corrected methods text is provided below.

关键词：

Weighted community detection and data clustering using message passing

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Shi, Cheng Liu, Yanchen Zhang, Pan CompleX Lab Web Sciences Center University of Electronic Science and Technology of China Chengdu611731 China Network Science Institute Northeastern University 177 Huntington Avenue BostonMA02115 United States CAS key laboratory of theoretical physics Institute of Theoretical Physics Chinese Academy of Sciences Beijing100190 China

Grouping objects into clusters based on similarities or weights between them is one of the most important problems in science and engineering. In this work, by extending message passing algorithms and spectral algorithms proposed for unweighted community detection problem, we develop a non-parametric method based on statistical physics, by mapping the problem to Potts model at the critical temperature of spin glass transition and applying belief propagation to solve the marginals corresponding to the Boltzmann distribution. Our algorithm is robust to over-fitting and gives a principled way to determine whether there are significant clusters in the data and how many clusters there are. We apply our method to different clustering tasks. In the community detection problem in weighted and directed networks, we show that our algorithm significantly outperforms existing algorithms. In the clustering problem when the data was generated by mixture models in the sparse regime we show that our method works all the way down to the theoretical limit of detectability and gives accuracy very close to that of the optimal Bayesian inference. In the semi-supervised clustering problem, our method only needs several labels to work perfectly in classic datasets. Finally, we further develop Thouless-Anderson-Palmer equations which reduce heavily the computation complexity in dense-networks but gives almost the same performance as belief propagation. Copyright © 2018, The Authors. All rights reserved.

关键词： Inference engines

Social cognitive optimization with tent map for combined heat and power economic dispatch

学校读者我要写书评

暂无评论

arXiv 2018年

作者： Sun, Jiaze Li, Yang School of Computer Science and Technology Xi 'an University of Posts and Telecommunications Xi'an710121 China Shaanxi Key Laboratory of Network Data Intelligent Processing Xi 'an University of Posts and Telecommunications Xi 'an710121 China School of Electrical Engineering Northeast Electric Power University Jilin132012 China

Combined Heat and Power Economic Dispatch (CHPED) problem is a sophisticated constrained nonlinear optimization problem in a heat and power production system for assigning heat and power production to minimize the production costs. To address this challenging problem, a novel Social Cognitive Optimization algorithm with Tent map (TSCO) is presented for solving the CHPED problem. To handle the equality constraints in heat and power balance constraints, Adaptive Constraints Relaxing (ACR) rule is adopted in constraint processing. The novelty of our work lies in the introduction of a new powerful TSCO algorithm to solve the CHPED issue. The effectiveness and superiority of the presented algorithm is validated by carrying out two typical CHPED cases. The numerical results show that the proposed approach has better convergence speed and solution quality than all other existing state-of-the-art algorithms. Copyright © 2018, The Authors. All rights reserved.

关键词： Functions

Viral Entry of Chikungunya Virus

学校读者我要写书评

暂无评论

Viral Entry of Chikungunya Virus

中国生物工程学会第十三届学术年会暨2019年全国生物技术大会

作者：宋豪 Zhennan Zhao Yan Chai Xiyue Jin Changyao Li Fei Yuan Sheng Liu Leonardo Vazquez Carlos M. Morel Jinghua Yan Yi Shi Jianxun Qi Feng Gao George F Gao 中国科学院北京生命科学研究院 CAS Key Laboratory of Pathogenic Microbiology and Immunology Institute of Microbiology Chinese Academy of Sciences National Institute of Science and Technology for Innovation on Diseases of NeglectedPopulations (INCT-IDPN) Center for Technological Development in Health (CDTS) Oswaldo CruzFoundation (Fiocruz) Rio de Janeiro Institute of Genetics and Developmental Biology Chinese Academy of Sciences Research Network of Immunity and Health (RNIH) Beijing Institutes of Life Science Chinese Academy of Sciences National Institute for Viral Disease Control and Prevention Chinese Center for Disease Control and Prevention (China CDC)

Arthritogenic alphaviruses, such as Chikungunya virus(CHIKV), Ross River virus(RRV), Mayaro virus(MAYV), and O'nyong-nyong virus(ONNV), cause severe and debilitating rheumatic diseases worldwide, resulting in seve... 详细信息

关键词： Viral Entry of Chikungunya Virus