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Erratum to: Search for single top-quark production via flavour-changing neutral currents at 8 TeV with the ATLAS detector

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The European Physical Journal C 2022年第1期82卷 1-15页

作者： Aad, G. Abbott, B. Abdallah, J. Abdinov, O. Aben, R. Abolins, M. AbouZeid, O. S. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adamczyk, L. Adams, D. L. Adelman, J. Adomeit, S. Adye, T. Affolder, A. A. Agatonovic-Jovin, T. Agricola, J. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akerstedt, H. Åkesson, T. P. A. Akimov, A. V. Alberghi, G. L. Albert, J. Albrand, S. Alconada Verzini, M. J. Aleksa, M. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Alimonti, G. Alio, L. Alison, J. Alkire, S. P. Allbrooke, B. M. M. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Altheimer, A. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M. G. Amadio, B. T. Amako, K. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amorim, A. Amoroso, S. Amram, N. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, G. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Anger, P. Angerami, A. Anghinolfi, F. Anisenkov, A. V. Anjos, N. Annovi, A. Antonelli, M. Antonov, A. Antos, J. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Arce, A. T. H. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, M. Armbruster, A. J. Arnaez, O. Arnal, V. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Asai, S. Asbah, N. Ashkenazi, A. Åsman, B. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N. B. Augsten, K. Aurousseau, M. Avolio, G. Axen, B. Ayoub, M. K. Azuelos, G. Baak, M. A. Baas, A. E. Baca, M. J. Bacci, C. Bachacou, H. Bachas, K. Backes, M. Backhaus, M. Bagiacchi, P. Bagnaia, P. Bai, Y. Bain, T. Baines, J. T. Baker, O. K. Baldin, E. M. Balek, P. Balestri, T. Balli, F. Banas, E. Banerjee, Sw. Bannoura, A. A. E. Bansil, H. S. Barak, L. Barberio, E. L. Barberis, D. Barbero, M. Barillari, T. Barisonzi, M. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. M. Barnett, R. M. Barnovska, Z. Baroncelli, A. Barone, G. Barr, A. J. Barreiro, F. Barreiro Guimarães da Costa, J. Bartol CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman USA Institute of Physics Academia Sinica Taipei Taiwan Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Nikhef National Institute for Subatomic Physics and University of Amsterdam Amsterdam The Netherlands Department of Physics and Astronomy Michigan State University East Lansing USA Department of Physics University of Toronto Toronto Canada Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene USA Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London UK AGH University of Science and Technology Faculty of Physics and Applied Computer Science Kraków Poland Physics Department Brookhaven National Laboratory Upton USA Department of Physics Northern Illinois University De Kalb USA Fakultät für Physik Ludwig-Maximilians-Universität München Munich Germany Particle Physics Department Rutherford Appleton Laboratory Didcot UK Oliver Lodge Laboratory University of Liverpool Liverpool UK Institute of Physics University of Belgrade Belgrade Serbia II Physikalisches Institut Georg-August-Universität Göttingen Germany Laboratório de Instrumentação e Física Experimental de Partículas-LIP Lisbon Portugal Departamento de Fisica Teorica y del Cosmos and CAFPE Universidad de Granada Granada Spain Department of Physics Boston University Boston USA Joint Institute for Nuclear Research JINR Dubna Dubna Russia INFN Sezione di Roma Tor Vergata Rome Italy Dipartimento di Fisica Università di Roma Tor Vergata Rome Italy Fysiska institutionen Lunds uni

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Safeguarding massive MIMO aided hetnets using physical layer security

Safeguarding massive MIMO aided hetnets using physical layer...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Yansha Deng Lifeng Wang Kai-Kit Wong Arumugam Nallanathan Maged Elkashlan Sangarapillai Lambotharan Department of Informatics King's College London London UK Departrnent of Electronic and Electrical Engineering University College London London UK School of Electronic Engineering and Computer Science Queen Mary University of London London UK Department of Electronic and Electrical Engineering Loughborough University Leicestershire UK

This paper exploits the potential of physical layer security in massive multiple-input multiple-output (MIMO) aided two-tier heterogeneous networks (HetNets). We focus on the downlink secure transmission in the presence of multiple eavesdroppers. We first address the impact of massive MIMO on the maximum receive power based user association. We then derive the tractable upper bound expressions for the secrecy outage probability of a HetNets user. We show that the implementation of massive MIMO significantly improves the secrecy performance, which indicates that physical layer security could be a promising solution for safeguarding massive MIMO HetNets. Furthermore, we show that the secrecy outage probability of HetNets user first degrades and then improves with increasing the density of PBSs.

关键词： MIMO Fading Security Macrocell networks Physical layer Downlink Base stations

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Automated multi-contrast brain pathological area extraction from 2D MR images

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Journal of Applied Research and Technology 2015年第1期13卷 58-69页

作者： Dvořák, P. Bartušek, K. Kropatsch, W.G. Smékal, Z. Institute of Scientific Instruments of the ASCR V.v.i Academy if Sciences of the Czech Republic Brno Czech Republic Dept. of Telecommunications Faculty of Electrical Engineering and Communication Brno University of Technology Brno Czech Republic Pattern Recognition and Image Processing Group Institute of Computer Graphics and Algorithms Faculty of Informatics Vienna University of Technology Vienna Austria

The aim of this work is to propose the fully automated pathological area extraction from multi-parametric 2D MR images of brain. The proposed method is based on multi-resolution symmetry analysis and automatic thresholding. The proposed algorithm first detects the presence of pathology and then starts its extraction. T2 images are used for the presence detection and the multi-contrast MRI is used for the extraction, concretely T2 and FLAIR images. The extraction is based on thresholding, where Otsu's algorithm is used for the automatic determination of the threshold. Since the method is based on symmetry, it works for both axial and coronal planes. In both these planes of healthy brain, the approximate left-right symmetry exists and it is used as the prior knowledge for searching the approximate pathology location. It is assumed that this area is not located symmetrically in both hemispheres, which is met in most cases. The detection algorithm was tested on 203 T2-weighted images and reached the true positive rate of 87.52% and true negative rate of 93.14%. The extraction algorithm was tested on 357 axial and 443 coronal real images from publicly available BRATS databases containing 3D volumes brain tumor patients. The results were evaluated by Dice Coefficient (axial: 0.85 ± 0.11, coronal 0.82 ± 0.18) and by Accuracy (axial: 0.96 ± 0.05, coronal 0.94 ± 0.09). © 2015 Universidad Nacional Autónoma de México.

关键词： Brain Pathology Brain Tumor MRI Multi-contrast MRI Symmetry Analysis

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Preface

Advances in Intelligent Systems and Computing

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Advances in Intelligent Systems and Computing 2016年 442卷 v-vi页

作者： Obaidat, Mohammad S. Kacprzyk, Janusz Ören, Tuncer Filipe, Joaquim Department of Computer and Information Science Fordham University BronxNY United States Systems Research Institute Polish Academy of Sciences Warsaw Poland Faculty of Engineering School of Electrical Engineering and Computer Science University of Ottawa OttawaON Canada Department of Systems and Informatics Polytechnic Institute of Setúbal Setúbal Portugal

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Identifying miRNA-mediated signaling subpathways by integrating paired miRNA/mRNA expression data with pathway topology

Identifying miRNA-mediated signaling subpathways by integrat...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Aristidis G. Vrahatis Georgios N. Dimitrakopoulos Athanasios K. Tsakalidis Anastasios Bezerianos the Department of Computer Engineering and Informatics University of Patras Patras 26500 GR the Department of Electrical and Computer Engineering University of Patras Patras 26500 GR the Medical School University of Patras Patras 26500 GR and SINAPSE National University of Singapore 117456 Singapore

ISBN: (纸本)9781424492695

In the road for network medicine the newly emerged systems-level subpathway-based analysis methods offer new disease genes, drug targets and network-based biomarkers. In parallel, paired miRNA/mRNA expression data enable simultaneously monitoring of the micronome effect upon the signaling pathways. Towards this orientation, we present a methodological pipeline for the identification of differentially expressed subpathways along with their miRNA regulators by using KEGG signaling pathway maps, miRNA-target interactions and expression profiles from paired miRNA/mRNA experiments. Our pipeline offered new biological insights on a real application of paired miRNA/mRNA expression profiles with respect to the dynamic changes from colostrum to mature milk whey;several literature supported genes and miRNAs were recontextualized through miRNA-mediated differentially expressed subpathways.

关键词： miRNA-mediated integrating paired pathway topology

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Introducing an innovative robot-based mobile platform for programming learning

Introducing an innovative robot-based mobile platform for pr...

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International Conference on Interactive Mobile Communication Technologies and Learning (IMCL)

作者： Konstantinos Manousaridis Apostolos Mavridis Gregory Kalogiannis Konstantinos Anagnostopoulos Computer and Mathematics Department Mediterranean College of Thessaloniki Thessaloniki Greece Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece School of Electrical and Computer Engineering Aristotle University of Thessaloniki Thessaloniki Greece

The present study introduces an Android based application that focuses on promoting students' learning experience when interacting with Lego Mindstorms Robotic Kit NXT. A thorough investigation of the current literature reveals that there are numerous applications attempting to overcome the limitations of Lego platform which, however, appear to only partially succeed in significantly improving children's engagement in fruitful learning. Their main limitations are that they either function on an elemental level or suffer from a general lack of creating effectively room for children to test their abilities and other curiosities. Aiming at confronting these limitations, the proposed android application, which is referred to as MyNXT, was created and presented. MyNXT offers direct access control along with the choice to program using simple linear logic through an easy and a user friendly environment with built in instructions for all ages. Concluding, the proposed application constitutes a stepping to an educating platform, which can facilitate the learning needs of children in contemporary times.

关键词： Educational robots Programming profession computers Humanoid robots Software

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A non-conservative software-based approach for detecting illegal CFEs caused by transient faults

A non-conservative software-based approach for detecting ill...

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IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems

作者： Diego Rodrigues Ghazaleh Nazarian Álvaro Moreira Luigi Carro Georgi Gaydadjiev Institute of Informatics Federal University of Rio Grande do Sul Porto Alegre Brazil Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft The Netherlands Department of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden

Software-based methods for the detection of control-flow errors caused by transient fault usually consist in the introduction of protecting instructions both at the beginning and at the end of basic blocks. These methods are conservative in nature, in the sense that they assume that all blocks have the same probability of being the target of control flow errors. Because of that assumption they can lead to a considerable increase both in memory and performance overhead during execution time. In this paper, we propose a static analysis that provide a more refined information about which basic blocks can be the target of control-flow-errors caused by single-bit flips. This information can then be used to guide a program transformation in which only susceptible blocks have to be protected. We implemented the static analysis and program transformation in the context of the LLVM framework and performed an extensive fault injection campaign. Our experiments show that this less conservative approach can potentially lead to gains both in memory usage and in execution time while keeping high fault coverage.

关键词： Benchmark testing Circuit faults Program processors Systematics Transient analysis Operating systems Assembly

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Designing tariffs in a competitive energy market using Particle Swarm Optimization techniques

Lecture Notes in Business Information Processing

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Lecture Notes in Business Information Processing 2014年 187卷 129-143页

作者： Ntagka, Eleni Chrysopoulos, Antonios Mitkas, Pericles A. Electrical and Computer Engineering Department Aristotle University of Thessaloniki Thessaloniki Greece Informatics and Telematics Institute CERTH Thessaloniki Greece

The main challenge of the Smart Grid Paradigm is achieving a tight balance between supply and demand of electrical energy. A contemporary approach to address this challenge is the use of autonomous broker agents. These intelligent entities are able to interact with both producers and consumers by offering tariffs, in order to buy or sell energy, respectively, within a new energy market mechanism: the Tariff Market. Agents are incentivized to level supply and demand within their portfolio, in line with maximizing their profit. In this work, we study a profit optimization strategy that was implemented for Mertacor broker-agent, always considering the customized needs of his customers. The agent was developed and tested in the PowerTAC Competition platform, which provides a powerful benchmark for researching Tariff Markets. To fulfill the agent’s objectives, two types of strategies were implemented: (i) a tariff formation strategy and (ii) a tariff update strategy. Both strategies are treated as optimization problems, where the broker’s objective is maximizing its profit as well as maintaining an acceptable customer market share. To this end, Particle Swarm Optimization techniques were adopted. The results look very promising and there is a great future work potential based on them. © Springer International Publishing Switzerland 2014.

关键词： Autonomous agents

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Simulation study of a many-to-one mapping for IPv6 address owner identification in an enterprise local area network

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International Journal of Network Security 2015年第1期17卷 49-56页

作者： Hakiem, Nashrul Siddiqi, Mohammad Umar Rafiq, Hashum Mohamed Department of Informatics Engineering Faculty of Science and Technology UIN Syarif Hidayatullah Jakarta Jl. Ir. H. Juanda 95 Jakarta15412 Indonesia Department of Electrical and Computer Engineering Faculty of Engineering International Islamic University Malaysia Jalan Gombak Kuala Lumpur53100 Malaysia

Owner identification is an important aspect of improving network visibility and enhancing network security within local area networks deploying IPv6. This paper presents a simulation study for owner identification in an enterprise local area network from their IPv6 addresses. The study is based around the reverse implementation (many-to-one mapping) of a one-to-many reversible mapping. The paper reviews the many-to-one mechanism and the associated simulation software development, followed by presentation of results obtained from required functional tests. The IPv6 address data can be obtained from the output of any network monitoring software. In addition to a text format for verification, it also uses a checksum for validation which is used during the IPv6 address generation and identification. The simulation software given here can easily identify an IPv6 address owner if the IPv6 address is properly generated by the mechanism and it can display particular verification messages.

关键词： Visibility

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Measurement of the Drell–Yan forward-backward asymmetry and of the effective leptonic weak mixing angle in proton-proton collisions at s=13TeV

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Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics 2025年 866卷

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Hussain, P.S. Jeitler, M. Krammer, N. Li, A. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Waltenberger, W. Wulz, C.-E. Janssen, T. Van Laer, T. Van Mechelen, P. Breugelmans, N. Dansana, S. De Moor, A. Delcourt, M. Heyen, F. Lowette, S. Makarenko, I. Müller, D. Tavernier, S. Tytgat, M. Van Onsem, G.P. Van Putte, S. Vannerom, D. Bilin, B. Clerbaux, B. Das, A.K. De Lentdecker, G. Evard, H. Favart, L. Gianneios, P. Jaramillo, J. Khalilzadeh, A. Khan, F.A. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, S. Shahzad, M.A. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Gokbulut, G. Hong, Y. Knolle, J. Lambrecht, L. Marckx, D. Mota Amarilo, K. Skovpen, K. Van Den Bossche, N. van der Linden, J. Wezenbeek, L. Benecke, A. Bethani, A. Bruno, G. Caputo, C. De Favereau De Jeneret, J. Delaere, C. Donertas, I.S. Giammanco, A. Guzel, A.O. Jain, Sh. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Tran, T.T. Wertz, S. Alves, G.A. Alves Gallo Pereira, M. Coelho, E. Correia Silva, G. Hensel, C. Menezes De Oliveira, T. Mora Herrera, C. Moraes, A. Rebello Teles, P. Soeiro, M. Vilela Pereira, A. Aldá Júnior, W.L. Barroso Ferreira Filho, M. Brandao Malbouisson, H. Carvalho, W. Chinellato, J. Da Costa, E.M. Da Silveira, G.G. De Jesus Damiao, D. Fonseca De Souza, S. Gomes De Souza, R. Laux Kuhn, T. Macedo, M. Martins, J. Mundim, L. Nogima, H. Pinheiro, J.P. Santoro, A. Sznajder, A. Thiel, M. Bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. Maietto Silverio, I. Mercadante, P.G. Novaes, S.F. Orzari, B. Padula, Sandra S. Aleksandrov, A. Antchev, G. Hadjiiska, R. Iaydjiev, P. Misheva, M. Shopova, M. Sultanov, G. Dimitrov, A. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Laroze, D. Thakur, S. Cheng, T. Javaid, T. Yuan, L. Hu, Z. Liang, Z. Liu, J. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Sh Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Vienna Austria Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Instituto De Alta Investigación Universidad de Tarapacá Casilla 7 D Arica Chile Beihang University Beijing China Department of Physics Tsinghua University Beijing China Institute of High Energy Physics Beijing China State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China Guangdong Provincial Key Laboratory of Nuclear Science Guangdong-Hong Kong Joint Laboratory of Quantum Matter South China Normal University Guangzhou China Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Nanjing Normal University Nanjing China Institute of Modern Physics Key Laboratory of Nuclear Physics Ion-beam Application (MOE) Fudan University Shanghai China Zhejiang University Zhejiang Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Center for High Energy

The forward-backward asymmetry in Drell–Yan production and the effective leptonic electroweak mixing angle are measured in proton-proton collisions at s=13 TeV, collected by the CMS experiment and corresponding to an integrated luminosity of 138fb⁻¹. The measurement uses both dimuon and dielectron events, and is performed as a function of the dilepton mass and rapidity. The unfolded angular coefficient A₄ is also extracted, as a function of the dilepton mass and rapidity. Using the CT18Z set of parton distribution functions, we obtain sin²⁡θ_eff^ℓ=0.23152±0.00031, where the uncertainty includes the experimental and theoretical contributions. The measured value agrees with the standard model fit result to global experimental data. This is the most precise sin²⁡θ_eff^ℓ measurement at a hadron collider, with a precision comparable to the results obtained at LEP and SLD. © 2025 CERN for the benefit of the CMS Collaboration

关键词： CMS Drell-Yan Electroweak Mixing angle

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