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A Snapshot about the Mobile Colistin Resistance (mcr) in The Middle East and North Africa Region

Journal of Infection and Public Health 2019年第1期12卷 149-150页

作者： A. Redhwan M. Choudhury B. Al Harbi A. Kutbi M. Alfaresi R. AlJindan H. Balkhy S. Al Johani E. Ibrahim A. Deshmukh M. Ahmed A. AlJardani S. Al-Abri J. AlSalman A. Dashti S. Abdelrahman M. Shabban A. Aqel H. AlZoubi H. Sidjabat H. Zowawi College of Health and Rehabilitian Sciences Princess Nourah University UQ Centre for Clinical Research The University of Queensland Faculty of Pharmacy Taibah University Faculty of Medicine Taif University Pathology and Laboratory Medicine Department Sheikh Khalifa General Hospital College of Medicine Imam Abdulrahman Bin Faisal University King Saud bin Abdulaziz University for Health Sciences King Abdullah International Medical Research Centre WHO Collaborating Centre for Infection Prevention and Control and GCC Center for Infection Control Microbiology Department of Pathology and Lab Medicine King Abdulaziz Medical City Department of Neurosurgery Hamad Medical Corporation Weill Cornell Medical College The Life Science Centre Biology School of Science and Technology Örebro University Public Health Laboratory Medical Microbiology Department Department of Medicine The Royal Hospital Samlaniya Medical Complex Infectious Diseases Unit Medical Laboratory Department Faculty of Allied Health Sciences Health Science Center Kuwait University Faculty of Medicine Medical Microbiology and Immunology dept. Ain Shams University Faculty of Medicine Mutah University

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CIDE: An Integrated Development Environment for Microservices

CIDE: An Integrated Development Environment for Microservice...

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IEEE International Conference on Services Computing (SCC)

作者： Desheng Liu Hong Zhu Chengzhi Xu Ian Bayley David Lightfoot Mark Green Peter Marshall Science & Technology on Complex Electronic System Simulation Laboratory Beijing China Dept. of Comp. & Comm. Tech. Oxford Brookes Univ. Oxford UK School of Computer Science Hubei University of Technology Wuhan China

Microservices is a flexible architectural style that has many advantages over the alternative monolithic style. These include better performance and scalability. It is particularly suitable, and widely adopted, for cloud-based applications, because in this architecture a software system consisting of a large suite of services of fine granularity, each running its own process and communicating with the others. However, programming such systems is more complex. In this paper we report on CIDE, an integrated software development environment that helps with this. CIDE supports programming in a novel agent-oriented language called CAOPLE and tests their execution in a cluster environment. We present the architecture of CIDE, discuss its design based on the principles of the DevOps software development methodology, and describe facilities that support continuous testing and seamless integration, two other advantages of Microservices.

关键词： Computers Testing Virtual machining Computer architecture Cloud computing Programming

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Identification of asymmetry in power system: Different case studies

Identification of asymmetry in power system: Different case ...

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Power Quality and Supply Reliability Conference, PQ

作者： Mohammad Hasanuzzaman Shawon Szymon Barczentewicz Jakub Kowalski Dept. of Power Electronics and Energy Control System AGH University of Science and Technology Cracow Poland Akademia Gorniczo-Hutnicza imienia Stanislawa Staszica w Krakowie Krakow WojewÃ³dztwo maÅ‚opolskie PL

The need for locating the source of disturbance at supplier and customer's point of common connection (PCC) is one of the most important criteria in power quality assessment. Power quality problems like harmonics, asymmetry, voltage dip and fluctuation have a severe impact in term of both technical and economical point of view. Both utilities and customers are becoming more and more interested in assessment of power quality problems and localization of such disturbance sources. Voltage asymmetry is considered one of the challenging issues in power quality era. This paper reports on the identification of source of asymmetry in power system considering different case scenarios along with simulation and laboratory test result.

关键词： Power quality Load modeling Harmonic analysis Power system harmonics Voltage fluctuations Computer aided software engineering

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Power decoupling method comparison of isolated single-phase matrix converters using center-tapped transformer with PDM 7

Power decoupling method comparison of isolated single-phase ...

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7th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2015

作者： Takaoka, Nagisa Takahashi, Hiroki Itoh, Jun-Ichi Chiang, Goh Teck Sugiyama, Takahide Sugai, Masaru Dept. of Electrical Engineering Nagaoka University of Technology Japan Dept. of Science of Technology Innovation Nagaoka University of Technology Nagaoka Niigata Japan Dept. of System and Electronics Engineering Dept. II Power Electronics and Control Lab. Toyota Central RandD Labs. INC. Japan

ISBN: (纸本)9781467371506

This paper presents an isolated type of single-phase matrix converter topology for PHV/EV on-board battery chargers. The proposed converter is comprised of a full bridge inverter, a high frequency transformer and a matrix converter. Due to the lack of DC link bus in matrix converter, in order to suppress the power fluctuation, a power decoupling method which only employs a center-tapped high frequency transformer and a small LC buffer where requires no additional switches is applied. On the other hand, the matrix converter applies PDM (Pulse Density Modulation) which achieve ZVS (zero voltage switching) in order to generate a 50Hz/60Hz sinusoidal waveform at the grid side. As a result, this converter shows promising features small size and high efficiency. In this paper, by harmonic analysis, the effectiveness of power decoupling method is evaluated in two cases: the PDM based on the PWM as a conventional method and the PDM based on the delta-sigma conversion. In the experimental results, the power decoupling method with the PDM based on the delta-sigma conversion reduces the DC bus current ripple by 84.8% comparing to the case where the power decoupling method is not applied, while the output voltage distortion is reduced by 64.1% compared with that of the PDM based on the PWM is applied. © 2015 IEEE.

关键词： Matrix converters

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Identifying the best machine learning algorithms for brain tumor segmentation, progression assessment, and overall survival prediction in the BRATS challenge

arXiv

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arXiv 2018年

作者： Bakas, Spyridon Reyes, Mauricio Jakab, Andras Bauer, Stefan Rempfler, Markus Crimi, Alessandro Shinohara, Russell Takeshi Berger, Christoph Ha, Sung Min Rozycki, Martin Prastawa, Marcel Alberts, Esther Lipkova, Jana Freymann, John Kirby, Justin Bilello, Michel Fathallah-Shaykh, Hassan M. Wiest, Roland Kirschke, Jan Wiestler, Benedikt Colen, Rivka Kotrotsou, Aikaterini Lamontagne, Pamela Marcus, Daniel Milchenko, Mikhail Nazeri, Arash Weber, Marc-Andr Mahajan, Abhishek Baid, Ujjwal Gerstner, Elizabeth Kwon, Dongjin Acharya, Gagan Agarwal, Manu Alam, Mahbubul Albiol, Alberto Albiol, Antonio Albiol, Francisco J. Alex, Varghese Allinson, Nigel Amorim, Pedro H.A. Amrutkar, Abhijit Anand, Ganesh Andermatt, Simon Arbel, Tal Arbelaez, Pablo Avery, Aaron Azmat, Muneeza Pranjal, B. Bai, Wenjia Banerjee, Subhashis Barth, Bill Batchelder, Thomas Batmanghelich, Kayhan Battistella, Enzo Beers, Andrew Belyaev, Mikhail Bendszus, Martin Benson, Eze Bernal, Jose Bharath, Halandur Nagaraja Biros, George Bisdas, Sotirios Brown, James Cabezas, Mariano Cao, Shilei Cardoso, Jorge M. Carver, Eric N. Casamitjana, Adri Castillo, Laura Silvana Cat, Marcel Cattin, Philippe Cérigues, Albert Chagas, Vinicius S. Chandra, Siddhartha Chang, Yi-Ju Chang, Shiyu Chang, Ken Chazalon, Joseph Chen, Shengcong Chen, Wei Chen, Jefferson W. Chen, Zhaolin Cheng, Kun Choudhury, Ahana Roy Chylla, Roger Clrigues, Albert Colleman, Steven Colmeiro, Ramiro German Rodriguez Combalia, Marc Costa, Anthony Cui, Xiaomeng Dai, Zhenzhen Dai, Lutao Daza, Laura Alexandra Deutsch, Eric Ding, Changxing Dong, Chao Dong, Shidu Dudzik, Wojciech Eaton-Rosen, Zach Egan, Gary Escudero, Guilherme Estienne, Tho Everson, Richard Fabrizio, Jonathan Fan, Yong Fang, Longwei Feng, Xue Ferrante, Enzo Fidon, Lucas Fischer, Martin French, Andrew P. Fridman, Naomi Fu, Huan Fuentes, David Gao, Yaozong Gates, Evan Gering, David Gholami, Amir Gierke, Willi Glocker, Ben Gong, Mingming Gonzlez-Vill, Sandra Grosges, T. Guan, Yuanfang Guo, Sheng Gupta, Sudeep Han, Woo-Sup Han, Il Song Harmuth, Ko Center for Biomedical Image Computing and Analytics University of Pennsylvania PhiladelphiaPA United States Department of Radiology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Department of Pathology and Laboratory Medicine Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States Institute for Surgical Technology and Biomechanics University of Bern Bern Switzerland Center for MR-Research University Children's Hospital Zurich Zurich Switzerland Support Centre for Advanced Neuroimaging Inselspital Institute for Diagnostic and Interventional Neuroradiology Bern University Hospital Bern Switzerland University Hospital of Zurich Zurich Switzerland Center for Clinical Epidemiology and Biostatistics University of Pennsylvania Philadelphia United States Image-Based Biomedical Modeling Group Technical University of Munich Munich Germany Icahn School of Medicine Mount Sinai Health System New YorkNY United States Leidos Biomedical Research Inc. Frederick National Laboratory for Cancer Research FrederickMD21701 United States Cancer Imaging Program National Cancer Institute National Institutes of Health BethesdaMD20814 United States Department of Neurology University of Alabama at Birmingham BirminghamAL United States Department of Diagnostic Radiology University of Texas MD Anderson Cancer Center HoustonTX United States Department of Psychology Washington University St. LouisMO United States Neuroimaging Informatics and Analysis Center Washington University St. LouisMO United States Department of Radiology Washington University St. LouisMO United States Institute of Diagnostic and Interventional Radiology Pediatric Radiology and Neuroradiology University Medical Center Rostock Ernst-Heydemann-Str. 6 Rostock18057 Germany Tata Memorial Centre Homi Bhabha National Institute Mumbai India Shri Guru Gobind Singhji Institute of Engineering and Technology Nanded India NVIDIA Santa Clara

Gliomas are the most common primary brain malignancies, with different degrees of aggressiveness, variable prognosis and various heterogeneous histologic sub-regions, i.e., peritumoral edematous/invaded tissue, necrotic core, active and non-enhancing core. This intrinsic heterogeneity is also portrayed in their radio-phenotype, as their sub-regions are depicted by varying intensity profiles disseminated across multi-parametric magnetic resonance imaging (mpMRI) scans, reflecting varying biological properties. Their heterogeneous shape, extent, and location are some of the factors that make these tumors difficult to resect, and in some cases inoperable. The amount of resected tumor is a factor also considered in longitudinal scans, when evaluating the apparent tumor for potential diagnosis of progression. Furthermore, there is mounting evidence that accurate segmentation of the various tumor sub-regions can offer the basis for quantitative image analysis towards prediction of patient overall survival. This study assesses the state-of-the-art machine learning (ML) methods used for brain tumor image analysis in mpMRI scans, during the last seven instances of the International Brain Tumor Segmentation (BraTS) challenge, i.e., 2012-2018. Specifically, we focus on i) evaluating segmentations of the various glioma sub-regions in pre-operative mpMRI scans, ii) assessing potential tumor progression by virtue of longitudinal growth of tumor sub-regions, beyond use of the RECIST/RANO criteria, and iii) predicting the overall survival from pre-operative mpMRI scans of patients that underwent gross total resection. Finally, we investigate the challenge of identifying the best ML algorithms for each of these tasks, considering that apart from being diverse on each instance of the challenge, the multi-institutional mpMRI BraTS dataset has also been a continuously evolving/growing dataset. Copyright © 2018, The Authors. All rights reserved.

关键词： Tumors

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Development of Firewall Optimization Model Using by Packet Filter

Development of Firewall Optimization Model Using by Packet F...

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International Conference on Computer Modeling and Simulation, UKSIM

作者： Myo Thant Kyaw Zaw Ye Kyaw Myat Thu Si Thu Thant Sin Mandalay Division Defence Services Science and Technology Research Center PyiOoLwin Myanmar Department of Informatics and Computer Software System National Research University of Electronic Technology Zelenograd Moscow Russia Department of Automatic Control Systems Bauman Moscow State Technical University Moscow Russia Dept. of Comput. Sci. Nat. Res. Univ. of Electron. Technol. Zelenograd Russia

ISBN: (纸本)9781509008896

This paper studies one particular aspect of providing communication security: firewall technology. This article provides a security framework in the form of packet filtering model within the firewall technology system and its components can be designed and evaluated. This paper introduces a reference model based on packet filtering firewall technology. All components are governed by a centralized security policy and they can be deployed in a distributed fashion to achieve scaling. This packet filtering firewall design is proven technology that provides confidentiality, integrity and availability in own information and network resources. The required design implement to set-up packet filtering firewall for network to protect and unauthorized access to our network. We describe the filtering process design depends on its underlying network technologies. The resulting security mechanism can be used as a bastion-host in the construction of firewall system.

关键词： Computational modeling Filtering Transport protocols Computers Informatics Software

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FPGA Implementation of Vision-Based Fingertip-Writing Digits Recognition system

FPGA Implementation of Vision-Based Fingertip-Writing Digits...

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IEEE International Conference on systems, Man and Cybernetics

作者： Ching-Long Shih Bing-Lin Yang Wen-Yo Lee Ti-Hung Chen Bo-Jhih Chen Yi-Chih Fan Department of Electrical Engineering National Taiwan University of Science and Technology Taipei Taiwan Department of Computer Network and Engineering Lunghwa University of S. and T. Taoyuan Taiwan Tristan Dept. Industrial Technology Research Institute Embedded Control System

This paper presents a vision-based fingertip writing digits detection and recognition system using a CMOS camera and FPGA implementation. It is a real-time signature detector, since the image process algorithms are all executed in Verilog code. The experimental results show that the system can successfully recognize fingertip-numeral-writing with a accuracy rate of 95.8%.

关键词： Image color analysis Feature extraction CMOS integrated circuits Skin Field programmable gate arrays Trajectory Image recognition

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Study on an improved Normal Form solution and reduced-order mode reconstruction in power system

Study on an improved Normal Form solution and reduced-order ...

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IEEE Region 10 International Conference TENCON

作者： Zhouqiang Wang Qi Huang Sichuan Provincial Key Lab of Power System Wide-area Measurement and Control University of Electronic Science and Technology of China (UESTC) Chengdu Sichuan China Dept. of Electrical Engineering Sichuan Engineering Technical College (SCETC) Deyang Sichuan China University of Electronic Science and Technology of China Chengdu CN

ISBN: (纸本)9781479986422

With the polynomial vector space decomposition by using Normal Form theory, the normalized analytical solutions of modal resonance are derived, which solves that the traditional Normal Form solution cannot be easily obtained under resonant condition. Based on the solution, from the viewpoint of whether the modal interaction couples and resonates or not, the nonlinear terms are decomposed into four types, i.e., uncoupled nonresonant terms, coupled nonresonant terms, uncoupled resonant terms and coupled resonant terms. The corresponding modes are categorized into 5 types, i.e., single modes, uncoupled nonresonant modes, coupled nonresonant modes, uncoupled resonant modes and coupled resonant modes. A reduced-order mode reconstruction based on least square method to estimate the coefficients of higher-order interactional modes is proposed. This might be potentially a new approach to cope with the challenge from huge amount of higher-order modes in higher-order nonlinear analysis. Two case studies are presented to analyze the types and reconstructions of the nonlinear modes, 2nd- and 3rd- order terms, which verifies the effectiveness of the proposed approach.

关键词： Mathematical model Power system dynamics Yttrium Couplings Least squares methods Eigenvalues and eigenfunctions

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26th Annual Computational Neuroscience Meeting (CNS*2017) of the Organization for Computational Neuroscience Antwerp, Belgium, July 15-20, 2017

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BMC NEUROscience 2017年第SUPPL 1期18卷 59-59页

作者： [Anonymous] Indiana University Purdue University Indianapolis Indianapolis IN 46032 USA Stark Neurosciences Research Institute Indiana University School of Medicine Indianapolis IN 46032 USA Department of Mathematics East Carolina University Greenville NC 27858 USA Jülich Supercomputing Centre Forschungszentrum Jülich 52425 Jülich Germany Future Systems Swiss National Supercomputing Centre 8092 Zurich Switzerland User Engagement and Support Swiss National Supercomputing Centre 6900 Lugano Switzerland Institut de Neurosciences des Systèmes Aix Marseille Univ 13005 Marseille France Simulation Lab Neuroscience Forschungszentrum Jülich Jülich Germany Department of Experimental Psychology Ghent University 9000 Ghent Belgium Donders Center for Cognitive Neuroimaging Radboud University 6525HR Nijmegen The Netherlands Department of Electrical Computer and Energy Engineering University of Colorado Boulder CO 80309 USA Department of Neurosurgery Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Neurology Johns Hopkins School of Medicine Baltimore MD 21287 USA Department of Otolaryngology Johns Hopkins School of Medicine Baltimore MD 21287 USA INSERM U968 Paris France Sorbonne Universités UPMC University Paris 06 UMR_S 968 Institut de la Vision Paris France CNRS UMR_7210 Paris France Department of Computer Architecture and Technology University of Granada (CITIC) Granada Spain Sorbonne Universités UPMC Univ Paris 06 INSERM CNRS Institut de la Vision Paris France Department of Adaptive Machine Systems Osaka University Osaka Japan Department of Computer Science University of Cergy-Pontoise Cergy-Pontoise France Department of Physics and Astronomy College of Charleston Charleston SC 29424 USA School of Physics Faculty of Science University of Sydney Sydney NSW 2006 Australia Center of Excellence for Integrative Brain Function Australian Research Council Sydney Australia Max Planck Institute for Human Cognitive and Brain Sciences Saxony Lei

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25th Annual Computational Neuroscience Meeting CNS-2016, Seogwipo City, South Korea, July 2-7, 2016 Abstracts

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BMC NEUROscience 2016年第1期17卷 1-112页

作者： [Anonymous] Computational Neurobiology Laboratory The Salk Institute for Biological Studies San Diego USA UNIC CNRS Gif sur Yvette France The European Institute for Theoretical Neuroscience (EITN) Paris France ATR Computational Neuroscience Laboratories Kyoto Japan Krembil Research Institute University Health Network Toronto Canada Department of Physiology University of Toronto Toronto Canada Department of Medicine (Neurology) University of Toronto Toronto Canada Department of Physics University of New Hampshire Durham USA Department of Neurophysiology Nencki Institute of Experimental Biology Warsaw Poland Department of Theory Wigner Research Centre for Physics of the Hungarian Academy of Sciences Budapest Hungary Department of Mathematical Sciences KAIST Daejoen Republic of Korea Department of Mathematics University of Houston Houston USA Department of Biochemistry & Cell Biology and Institute of Biosciences and Bioengineering Rice University Houston USA Department of Biology and Biochemistry University of Houston Houston USA Grupo de Neurocomputación Biológica Dpto. de Ingeniería Informática Escuela Politécnica Superior Universidad Autónoma de Madrid Madrid Spain Department of Biological Sciences University of Southern California Los Angeles USA Center for Neuroscience Korea Institute of Science and Technology Seoul South Korea Department of Neurology Albert Einstein College of Medicine Bronx USA Center for Neuroscience KIST Seoul South Korea Department of Neuroscience University of Science and Technology Daejon South Korea Systems Neuroscience Group QIMR Berghofer Medical Research Institute Herston Australia Department of Psychology Yonsei University Seoul South Korea Department of Psychiatry Kyung Hee University Hospital at Gangdong Seoul South Korea Department of Psychiatry Veterans Administration Boston Healthcare System and Harvard Medical School Brockton USA Department of Electrical and Electronic Engineering The University of Melbourne Parkvil

A1 Functional advantages of cell-type heterogeneity in neural circuits Tatyana O. Sharpee A2 Mesoscopic modeling of propagating waves in visual cortex Alain Destexhe A3 Dynamics and biomarkers of mental disorders Mitsuo Kawato F1 Precise recruitment of spiking output at theta frequencies requires dendritic h-channels in multi-compartment models of oriens-lacunosum/moleculare hippocampal interneurons Vladislav Sekulić, Frances K. Skinner F2 Kernel methods in reconstruction of current sources from extracellular potentials for single cells and the whole brains Daniel K. Wójcik, Chaitanya Chintaluri, Dorottya Cserpán, Zoltán Somogyvári F3 The synchronized periods depend on intracellular transcriptional repression mechanisms in circadian clocks. Jae Kyoung Kim, Zachary P. Kilpatrick, Matthew R. Bennett, Kresimir Josić O1 Assessing irregularity and coordination of spiking-bursting rhythms in central pattern generators Irene Elices, David Arroyo, Rafael Levi, Francisco B. Rodriguez, Pablo Varona O2 Regulation of top-down processing by cortically-projecting parvalbumin positive neurons in basal forebrain Eunjin Hwang, Bowon Kim, Hio-Been Han, Tae Kim, James T. McKenna, Ritchie E. Brown, Robert W. McCarley, Jee Hyun Choi O3 Modeling auditory stream segregation, build-up and bistability James Rankin, Pamela Osborn Popp, John Rinzel O4 Strong competition between tonotopic neural ensembles explains pitch-related dynamics of auditory cortex evoked fields Alejandro Tabas, André Rupp, Emili Balaguer-Ballester O5 A simple model of retinal response to multi-electrode stimulation Matias I. Maturana, David B. Grayden, Shaun L. Cloherty, Tatiana Kameneva, Michael R. Ibbotson, Hamish Meffin O6 Noise correlations in V4 area correlate with behavioral performance in visual discrimination task Veronika Koren, Timm Lochmann, Valentin Dragoi, Klaus Obermayer O7 Input-location dependent gain modulation in cerebellar nucleus neurons Maria Psarrou, Maria Schilstra, Neil Davey, Benjamin Torben-Ni

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