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Axial Guiding Magnetic Field Influence on Gain Characteristics of Plasma-Beam Superheterodyne Free-Electron Laser of Dopplertron Type with Helical Electron Beam

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Axial Guiding Magnetic Field Influence on Gain Characteristi...

International Conference on Ultrawideband and Ultrashort Impulse Signals

作者： Alexander V. Lysenko Galyna A. Oleksiienko Department of Applied Mathematics and Complex Systems Modeling Sumy State University Sumy Ukraine Department of Computer Science Sumy State University Sumy Ukraine

We have analyzed the effect of axial guiding magnetic field on the wave dynamics in plasma-beam superheterodyne free electron laser (SFEL) of the Dopplertron type with helical relativistic electron beam in the framework of cubic nonlinear theory. We have found the magnetic field critical values and the saturation levels. We found out that the saturation level of electromagnetic waves is maximal at a certain value of the longitudinal magnetic field strength (the magnetic field critical value). We demonstrated the possibility of a plasma-beam SFEL to generate powerful electromagnetic radiation in the millimeter wavelength range.

关键词： Superheterodyne free electron laser Plasma-beam instability Parametric resonance Axial guiding magnetic field Helical relativistic electron beam

On optimization of energy consumption in cloud computing system 12

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On optimization of energy consumption in cloud computing sys...

Selected Papers of the 12th International Workshop on applied Problems in Theory of Probabilities and Mathematical Statistics (Summer Session) in the Framework of the Conference on Information and Telecommunication Technologies and Mathematical modeling of High-Tech Systems, APTP+MS 2018

作者： Daraseliya, Anastasia V. Sopin, Eduard S. Rykov, Vladimir V. Department of Applied Probability and Informatics Peoples' Friendship University of Russia Miklukho-Maklaya Str. 6 Moscow117198 Russia Institute of Informatics Problems FRC CSC RAS 44-2 Vavilov Str. Moscow119333 Russia Departmen of Applied Mathematics and Computer Modeling Gubkin Russian State University of Oil and Gas 65 Leninsky Prospekt Moscow119991 Russia

We constructed mathematical models of cloud computing systems taking into account various mechanisms for increasing energy efficiency in terms of queuing theory, and analytical expressions for the main characteristics of energy consumption and server performance metrics were obtained. We investigated and compered three different energy efficiency improving mechanisms of cloud computing systems: the shutdown delay mechanism, the switch on delay mechanism and the threshold-based switch on mechanism. The general principle of functioning mechanisms for energy efficiency improving is that all mechanisms try to find a middle ground between continuous operation without shutdowns and with switching on as soon as it remains empty. We formulated the energy consumption optimization problem of the cloud computing system for each parameter used in this energy efficiency mechanisms. We conducted a numerical analysis of the formulas for solving the optimization problem of energy consumption in cloud computing system based on the initial data close to the real ones. Copyright © 2018 for the individual papers by the papers' authors.

关键词： Optimization

The unintended consequences of inconsistent pandemic control policies

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arXiv 2020年

作者： Althouse, Benjamin M. Wallace, Brendan Case, Brendan Scarpino, Samuel V. Berdahl, Andrew M. White, Easton R. Hébert-Dufresne, Laurent Institute for Disease Modeling BellevueWA98005 United States University of Washington SeattleWA98105 United States New Mexico State University Las CrucesNM88003 United States Department of Applied Mathematics University of Washington SeattleWA98195 United States Department of Computer Science University of Vermont BurlingtonVT05405 United States Vermont Complex Systems Center University of Vermont BurlingtonVT05405 United States Network Science Institute Northeastern University BostonMA United States ISI Foundation Turin Italy Santa Fe Institute Santa FeNM United States School of Aquatic & Fishery Sciences University of Washington SeattleWA98195 United States Department of Biology University of Vermont BurlingtonVT05405 United States Gund Institute for Environment University of Vermont BurlingtonVT05405 United States

Controlling the spread of COVID-19 – even after a licensed vaccine is available – requires the effective use of non-pharmaceutical interventions, e.g., physical distancing, limits on group sizes, mask wearing, etc.. To date, such interventions have neither been uniformly nor systematically implemented in most countries. For example, even when under strict stay-at-home orders, numerous jurisdictions granted exceptions and/or were in close proximity to locations with entirely different regulations in place. Here, we investigate the impact of such geographic inconsistencies in epidemic control policies by coupling search and mobility data to a simple mathematical model of SARS-COV2 transmission. Our results show that while stay-at-home orders decrease contacts in most areas of the United States of America (US), some specific activities and venues often see an increase in attendance. Indeed, over the month of March 2020, between 10 and 30% of churches in the US saw increases in attendance;even as the total number of visits to churches declined nationally. This heterogeneity, where certain venues see substantial increases in attendance while others close, suggests that closure can cause individuals to find an open venue, even if that requires longer-distance travel. And, indeed, the average distance travelled to churches in the US rose by 13% over the same period. Strikingly, our mathematical model reveals that, across a broad range of model parameters, partial measures can often be worse than no measures at all. In the most severe cases, individuals not complying with policies by traveling to neighboring jurisdictions can create epidemics when the outbreak would otherwise have been controlled. Taken together, our data analysis and modelling results highlight the potential unintended consequences of inconsistent epidemic control policies and stress the importance of balancing the societal needs of a population with the risk of an outbreak growing into a large epidemic. C

关键词： SARS

Spectral structure of the Neumann–Poincaré operator on tori

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arXiv 2018年

作者： Ando, Kazunori Ji, Yong-Gwan Kang, Hyeonbae Kawagoe, Daisuke Miyanishi, Yoshihisa Department of Electrical and Electronic Engineering and Computer Science Ehime University Ehime790-8577 Japan Department of Mathematics Institute of Applied Mathematics Inha University Incheon22212 Korea Republic of Center for Mathematical Modeling and Data Science Osaka University Osaka560-8531 Japan

We address the question whether there is a three-dimensional bounded domain such that the Neumann–Poincaré operator defined on its boundary has infinitely many negative eigenvalues. It is proved in this paper that tori have such a property. It is done by decomposing the Neumann–Poincaré operator on tori into infinitely many self-adjoint compact operators on a Hilbert space defined on the circle using the toroidal coordinate system and the Fourier basis, and then by proving that the numerical range of infinitely many operators in the decomposition has both positive and negative values.47A45, 31B25 Copyright © 2018, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

Multi-recurrence and van der Waerden systems

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Science China mathematics 2017年第1期60卷 59-82页

作者： KWIETNIAK Dominik LI Jian OPROCHA Piotr YE XiangDong Faculty of Mathematics and Computer Science Jagiellonian University in Kraków Department of Mathematics Shantou University Faculty of Applied Mathematics AGH University of Science and Technology National Supercomputing Centre IT4Innovations Division of the University of OstravaInstitute for Research and Applications of Fuzzy Modeling University of Ostrava Wu Wen-Tsun Key Laboratory of Mathematics Chinese Academy of SciencesSchool of Mathematical Sciences University of Science and Technology of China

We explore recurrence properties arising from dynamical approach to the van der Waerden theorem and similar combinatorial problems. We describe relations between these properties and study their consequences for dynamics. In particular, we present a measure-theoretical analog of a result of Glasner on multi-transitivity of topologically weakly mixing minimal maps. We also obtain a dynamical proof of the existence of a C-set with zero Banach density.

关键词： multi-recurrent points van der Waerden systems multiple recurrence theorem multiple IP-recurrence property multi-non-wandering points

A human immune dysregulation syndrome characterized by severe hyperinflammation with a homozygous nonsense Roquin-1 mutation (vol 10, 4779 , 2019)

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NATURE COMMUNICATIONS 2019年第1期10卷 1-16页

作者： Tavernier, S. J. Athanasopoulos, V. Verloo, P. Behrens, G. Staal, J. Bogaert, D. J. Naesens, L. De Bruyne, M. Van Gassen, S. Parthoens, E. Ellyard, J. Cappello, J. Morris, L. X. Van Gorp, H. Van Isterdael, G. Saeys, Y. Lamkanfi, M. Schelstraete, P. Dehoorne, J. Bordon, V. Van Coster, R. Lambrecht, B. N. Menten, B. Beyaert, R. Vinuesa, C. G. Heissmeyer, V. Dullaers, M. Haerynck, F. Primary Immune Deficiency Research Lab Department of Internal Medicine and Pediatrics Centre for Primary Immunodeficiency Ghent Jeffrey Modell Diagnosis and Research Centre Ghent University Hospital Ghent Belgium VIB Center for Inflammation Research Unit of Molecular Signal Transduction in Inflammation Ghent Belgium Department of Biomedical Molecular Biology Ghent University Ghent Belgium Department of Immunology and Infectious Disease and Center for Personalised Immunology (NHMRC Centre for Research Excellence) John Curtin School of Medical Research Australian National University Canberra Australia Centre for Personalised Immunology (CACPI) Shanghai Renji Hospital Shanghai Jiao Tong University Shanghai China Department of Internal Medicine and Pediatrics Division of Pediatric Neurology and Metabolism Ghent University Hospital Ghent Belgium Institute for Immunology Biomedical Center Ludwig-Maximilians-Universität München Planegg-Martinsried Germany Research Unit Molecular Immune Regulation Helmholtz Zentrum München Munich Germany Department of Internal Medicine and Pediatrics Division of Pediatric Immunology and Pulmonology Ghent University Hospital Ghent Belgium Department of Internal Medicine and Pediatrics Ghent University Hospital Ghent Belgium Center for Medical Genetics Ghent University Hospital Ghent Belgium VIB Center for Inflammation Research Unit of Data Mining and Modeling for Biomedicine Ghent Belgium Department of Applied Mathematics Computer Science and Statistics Ghent University Gent Belgium VIB Bioimaging Core VIB Center for Inflammation Research Ghent Belgium The Australian Phenomics Facility John Curtin School of Medical Research Australian National University Canberra Australia VIB Center for Inflammation Research Ghent Belgium VIB Flow Core VIB Center for Inflammation Research Ghent Belgium Department of Internal Medicine and Pediatrics Division of Pediatric Rheumatology Ghent University Hospital Ghent Belgium Department of Inter

Hyperinflammatory syndromes are life-threatening disorders caused by overzealous immune cell activation and cytokine release, often resulting from defects in negative feedback mechanisms. In the quintessential hyperinflammatory syndrome familial hemophagocytic lymphohistiocytosis (HLH), inborn errors of cytotoxicity result in effector cell accumulation, immune dysregulation and, if untreated, tissue damage and death. Here, we describe a human case with a homozygous nonsense R688* RC3H1 mutation suffering from hyperinflammation, presenting as relapsing HLH. RC3H1 encodes Roquin-1, a posttranscriptional repressor of immune-regulatory proteins such as ICOS, OX40 and TNF. Comparing the R688* variant with the murine M199R variant reveals a phenotypic resemblance, both in immune cell activation, hypercytokinemia and disease development. Mechanistically, R688* Roquin-1 fails to localize to P-bodies and interact with the CCR4-NOT deadenylation complex, impeding mRNA decay and dysregulating cytokine production. The results from this unique case suggest that impaired Roquin-1 function provokes hyperinflammation by a failure to quench immune activation.

关键词： Disease genetics Inflammation Primary immunodeficiency disorders RNA decay

The first Hadamard variation of Neumann-Poincaré eigenvalues on the sphere

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arXiv 2018年

作者： Ando, Kazunori Kang, Hyeonbae Miyanishi, Yoshihisa Ushikoshi, Erika Department of Electrical and Electronic Engineering and Computer Science Ehime University Ehime790-8577 Japan Department of Mathematics Institute of Applied Mathematics Inha University Incheon22212 Korea Republic of Center for Mathematical Modeling and Data Science Osaka University Osaka560-8531 Japan Faculty of Environment and Information Sciences Yokohama National University Kanagawa240-8501 Japan

The Neumann-Poincaré operator on the sphere has 2\(2k1+1\), k = 0, 1, 2,..., as its eigenvalues and the corresponding multiplicity is 2k + 1. We consider the bifurcation of eigenvalues under deformation of domains, and show that Frechét derivative of the sum of the bifurcations is zero. We then discuss the connection of this result with some conjectures regarding the Neumann-Poincaré *** Codes 47A45, 31B25 Copyright © 2018, The Authors. All rights reserved.

关键词： Eigenvalues and eigenfunctions

CEPC Technical Design Report

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Radiation Detection Technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance Xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin Chen Danping Chen Fuqing Chen Fusan Chen Gang Chen Guoming Chen Hua-Xing Chen Huirun Chen Jinhui Chen Ji-Yuan Chen Kai Chen Mali Chen Mingjun Chen Mingshui Chen Ning Chen Shanhong Chen Shanzhen Chen Shao-Long Chen Shaomin Chen Shiqiang Chen Tianlu Chen Wei Chen Xiang Chen Xiaoyu Chen Xin Chen Xun Chen Xurong Chen Ye Chen Ying Chen Yukai Chen Zelin Chen Zilin Chen Gang Chen Boping Chen Chunhui Chen Hok Chuen Cheng Huajie Cheng Shan Cheng Tongguang Cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai Xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH University of Science and Technology Faculty of Physics and Applied Computer ScienceKrakow Anhui University HefeiAnhui Applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu University Institute of ScienceVaranasi Bandirma Onyedi Eylul University Bandirma Beihang University Beijing Beijing Computational Science Research Center Beijing Beijing Conveyi LTD Beijing Beijing Glass Research Institute Co. LtdBeijing Beijing Institute of Technology Beijing Beijing Normal University Beijing Brown University ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad University Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo University Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central China Normal University WuhanHubei Central South University ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa Chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan China academy of engineering physics MianyangSichuan China building materials academy Beijing China Center of Advanced Science and Technology Beijing China Institute of Atomic Energy Beijing China Jiliang University HangzhouZhejiang China Nuclear Instrument CO. LTDBeijing China University of Geosciences Beijing China University of Geosciences WuhanHubei China University of Mining and Technology XuzhouJiangsu China West Normal University NanchongSichuan Chongqing University Department of PhysicsChongqing Chulalongkorn University Bangkok City University of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell University IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu University DalianLiaoning Dalian University of Technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East China University Of Science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by China,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

A multi-level convolutional lstm model for the segmentation of left ventricle myocardium in infarcted porcine cine MR images

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arXiv 2018年

作者： Zhang, Dongqing Icke, Ilknur Dogdas, Belma Parimal, Sarayu Sampath, Smita Forbes, Joseph Bagchi, Ansuman Chin, Chih-Liang Chen, Antong Applied Mathematics and Modeling Merck & Co. Inc. West PointPA United States Department of Electrical Engineering and Computer Science Vanderbilt University NashvilleTN United States Scientific Informatics Merck & Co. Inc. BostonMA United States Applied Mathematics and Modeling Merck & Co. Inc. RahwayNJ United States Translational Biomarkers Merck Sharp & Dohme Singapore High Performance Computing Merck & Co. Inc. West PointPA United States Merck & Co. Inc. West PointPA United States

Automatic segmentation of left ventricle (LV) myocardium in cardiac short-axis cine MR images acquired on subjects with myocardial infarction is a challenging task, mainly because of the various types of image inhomogeneity caused by the infarctions. Among the approaches proposed to automate the LV myocardium segmentation task, methods based upon deep convolutional neural networks (CNN) have demonstrated their exceptional accuracy and robustness in recent years. However, most of the CNN-based approaches treat the frames in a cardiac cycle independently, which fails to capture the valuable dynamics of heart motion. Herein, an approach based on recurrent neural network (RNN), specifically a multi-level convolutional long short-term memory (ConvLSTM) model, is proposed to take the motion of the heart into consideration. Based on a ResNet-56 CNN, LV-related image features in consecutive frames of a cardiac cycle are extracted at both the low- and high-resolution levels, which are processed by the corresponding multi-level ConvLSTM models to generate the myocardium segmentations. A leave-one-out experiment was carried out on a set of 3,600 cardiac cine MR slices collected in-house for 8 porcine subjects with surgically induced myocardial infarction. Compared with a solely CNN-based approach, the proposed approach demonstrated its superior robustness against image inhomogeneity by incorporating information from adjacent frames. It also outperformed a one-level ConvLSTM approach thanks to its capabilities to take advantage of image features at multiple resolution levels. Copyright © 2018, The Authors. All rights reserved.

关键词： Heart