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arXiv 2020年

作者： Sommer, Werner Stapor, Katarzyna Kończak, Grzegorz Kotowski, Krzysztof Fabian, Piotr Ochab, Jeremi Bereś, Anna Ślusarczyk, Grażyna Humboldt-University at Berlin Department of Psychology Germany Silesian University of Technology Institute of Computer Science Gliwice Poland University of Economics in Katowice Department of Statistics Econometrics and Mathematics Poland Silesian University of Technology Department of Applied Informatics Gliwice Poland Silesian University of Technology Department of Algorithmics and Software Gliwice Poland Jagiellonian University Department of Theory of Complex Systems Krakow Poland Jagiellonian University Department of Cognitive Neuroscience and Neuroergonomics Krakow Poland Jagiellonian University Department of Design and Computer Graphics Krakow Poland Institut für Psychologie Humboldt-Universität zu Berlin Rudower Chaussee 18 Berlin12489 Germany Faculty of Automatic Control Electronics and Computer Science Department of Applied Informatics Silesian University of Technology Akademicka 16 Gliwice44-100 Poland

The neural correlates of face individuation – the acquisition of memory representations for novel faces – have been studied only in coarse detail and disregarding individual differences between learners. In their seminal study, (Tanaka, Curran, Porterfield, & Collins, 2006) required the identification of a particular novel face across 70 trials and found that the N250 component in the ERP became more negative from the first to the second half of the experiment, where it reached a similar amplitude as a well-known face. We were unable to directly replicate this finding in our study when we used the original spilt of trials. However, when we applied a different split of trials we observed very similar changes in N250 amplitude. Then, we developed and applied a new two-step explorative-confirmative non-parametric method based on permutation testing to determine the time course of face individuation in individual participants based on single trial N250 amplitudes. We show that the assumption of a steep initial increase of N250 amplitude across multiple presentations of the target face, followed by a plateau, yields plausible results in fitting linear trends for most participants. The transition point from initial acquisition to the plateau phase differed strongly between participants and tended to be earlier when performance in target face recognition was better. Hence, face individuation may be accounted for by a biphasic process of early, fast acquisition, followed by a slower, asymptotic consolidation or maintenance phase. The current approach might be fruitfully applied to further investigations into face individuation and their neural correlates. © 2020, CC BY-NC-ND.

关键词： Face recognition

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The CMS Statistical Analysis and Combination Tool: Combine

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Computing and Software for Big science 2024年第1期8卷 1-45页

作者： Zhokin, A. Zhizhin, I. Zarubin, A. Yuldashev, B.S. Voytishin, N. Vorotnikov, G. Vorobyev, A. Volkov, P. Uzunian, A. Uvarov, L. Toropin, A. Tlisova, I. Teryaev, O. Terkulov, A. Tcherniaev, E. Sulimov, V. Sosnov, D. Smirnov, V. Slabospitskii, S. Skovpen, Y. Shulha, S. Shmatov, S. Shalaev, V. Savrin, V. Savina, M. Radchenko, O. Popov, V. Polikarpov, S. Perfilov, M. Perelygin, V. Palichik, V. Oreshkin, V. Obraztsov, S. Nikitenko, A. Murzin, V. Matveev, V. Malakhov, A. Makarenko, V. Lychkovskaya, N. Levchenko, P. Lanev, A. Krasnikov, N. Kozyrev, A. Korenkov, V. Konstantinov, D. Kodolova, O. Klyukhin, V. Kirsanov, M. Kirpichnikov, D. Kirakosyan, M. Kim, V. Karneyeu, A. Karjavine, V. Kachanov, V. Ivanov, Y. Gribushin, A. Gorbunov, I. Golutvin, I. Golubev, N. Golovtcov, V. Gninenko, S. Gavrilov, V. Gavrilov, G. Dudko, L. Dubinin, M. Druzhkin, D. Dimova, T. Dermenev, A. Chistov, R. Chekhovsky, V. Chadeeva, M. Bunichev, V. Budkouski, D. Borshch, V. Boos, E. Blinov, V. Babaev, A. Azarkin, M. Aushev, T. Andreev, Yu. Andreev, V. Alexakhin, V. Afanasiev, S. Warden, A. Vetens, W. Tsoi, H.F. Teague, D. Smith, W.H. Sharma, V. Shang, V. Savin, A. Pinna, D. Pétré, L. Parida, G. Mondal, S. Mohammadi, A. Mallampalli, A. Sreekala, J. Madhusudanan Loveless, R. Lanaro, A. Koraka, C.K. Herve, A. Herndon, M. He, H. Galloni, C. Everaerts, P. De Bruyn, I. Dasu, S. Bose, T. Black, K. Banerjee, S. Aravind, A. Karchin, P.E. Bhattacharya, S. Neu, C. Ledovskoy, A. Hirosky, R. Hakala, J. Cox, B. Cardwell, B. Viinikainen, J. Velkovska, J. Tuo, S. Sheldon, P. Romeo, F. Melo, A. Elayavalli, R. Kunnawalkam Johns, W. Gurrola, A. Greene, S. Chen, Y. Appelt, E. Volobouev, I. Peltola, T. Mankel, A. Lee, S.W. Lamichhane, K. Kazhykarim, Y. Hussain, A. Hegde, V. Gogate, N. Damgov, J. Akchurin, N. Safonov, A. Rathjens, D. Overton, D. Mueller, R. Luo, S. Kim, H. Kamon, T. Huang, T. Gilmore, J. Eusebi, R. Bouhali, O. Akhter, T. Ahmad, M. Aebi, D. Spanier, S. Nibigira, E. Lee, L. Karunarathna, N. Kanuganti, A.R. Holmes, T. Higginbotham, S. Fiorendi, S. Delannoy 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 and 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 Key Laboratory of Nuclear Physics and Ion-beam Application (MOE) Institute of Modern Physics Fudan University Shanghai China Zhejiang University Hangzhou Zhejiang China Universidad de Los Andes Bogota Venezuela Universidad de Antioquia Medellin Colombia Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture University of Split Split Croatia Faculty of Science University of Split Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Universidad San Francisco de Quito Quito Ecuador Egyptian Network of High Energy Physics Academy of Scientific Research and Technology of the Arab Republic of Egypt Cairo Egypt Center for High

This paper describes the Combine software package used for statistical analyses by the CMS Collaboration. The package, originally designed to perform searches for a Higgs boson and the combined analysis of those searches, has evolved to become the statistical analysis tool presently used in the majority of measurements and searches performed by the CMS Collaboration. It is not specific to the CMS experiment, and this paper is intended to serve as a reference for users outside of the CMS Collaboration, providing an outline of the most salient features and capabilities. Readers are provided with the possibility to run Combine and reproduce examples provided in this paper using a publicly available container image. Since the package is constantly evolving to meet the demands of ever-increasing data sets and analysis sophistication, this paper cannot cover all details of Combine. However, the online documentation referenced within this paper provides an up-to-date and complete user guide. © CERN, for the benefit of the CMS Collaboration 2024.

关键词： CMS Combine Higgs Higgs boson Statistics

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Search for W′ bosons decaying to a top and a bottom quark in leptonic final states in proton-proton collisions at s = 13 TeV

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Journal of High Energy Physics 2024年第5期2024卷 46页

作者： Hayrapetyan, A. Tumasyan, A. Adam, W. Andrejkovic, J.W. Bergauer, T. Chatterjee, S. Damanakis, K. Dragicevic, M. Escalante Del Valle, A. Hussain, P.S. Jeitler, M. Krammer, N. Liko, D. Mikulec, I. Schieck, J. Schöfbeck, R. Schwarz, D. Sonawane, M. Templ, S. Waltenberger, W. Wulz, C.-E. Darwish, M.R. Janssen, T. Van Mechelen, P. Bols, E.S. D’hondt, J. Dansana, S. De Moor, A. Delcourt, M. El Faham, H. Lowette, S. Makarenko, I. Müller, D. Sahasransu, A.R. Tavernier, S. Tytgat, M. Van Putte, S. Vannerom, D. Clerbaux, B. De Lentdecker, G. Favart, L. Hohov, D. Jaramillo, J. Khalilzadeh, A. Lee, K. Mahdavikhorrami, M. Malara, A. Paredes, S. Pétré, L. Postiau, N. Thomas, L. Vanden Bemden, M. Vander Velde, C. Vanlaer, P. De Coen, M. Dobur, D. Hong, Y. Knolle, J. Lambrecht, L. Mestdach, G. Rendón, C. Samalan, A. Skovpen, K. Van Den Bossche, N. Wezenbeek, L. Benecke, A. Bruno, G. Caputo, C. Delaere, C. Donertas, I.S. Giammanco, A. Jaffel, K. Jain, Sa. Lemaitre, V. Lidrych, J. Mastrapasqua, P. Mondal, K. Tran, T.T. Wertz, S. Alves, G.A. Coelho, E. Hensel, C. Menezes De Oliveira, T. Moraes, A. Rebello Teles, P. Soeiro, M. Aldá Júnior, W.L. Alves Gallo Pereira, M. 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. Martins, J. Mora Herrera, C. Mota Amarilo, K. Mundim, L. Nogima, H. Santoro, A. Silva Do Amaral, S.M. Sznajder, A. Thiel, M. Vilela Pereira, A. Bernardes, C.A. Calligaris, L. Fernandez Perez Tomei, T.R. Gregores, E.M. 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. Ivanov, T. Litov, L. Pavlov, B. Petkov, P. Petrov, A. Shumka, E. Keshri, S. Thakur, S. Cheng, T. Guo, Q. Javaid, T. Mittal, M. Yuan, L. Bauer, G. Hu, Z. Yi, K. Chen, G.M. Chen, H.S. Chen, M. Iemmi, F. Jiang, C.H. Kapoor, A. Liao, H. Liu, Z.-A. Monti, F. Sharma, R. Song, J.N. Tao, J. Wang, C. Wang, J. Wang, Z. Zhang, H. Agapitos, A. Ban, Y. Lev 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 Sun Yat-Sen University Guangzhou China University of Science and Technology of China Hefei China Institute of Modern Physics and Key Laboratory of Nuclear Physics and 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 Escuela Politecnica Nacional Quito Ecuador 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 Physics (CHEP-FU) Fayoum University El-Fayoum Egypt National Institute of Chemical Physics and Biophysics Tallinn Estonia Department of Physics

A search for W′ bosons decaying to a top and a bottom quark in final states including an electron or a muon is performed with the CMS detector at the LHC. The analyzed data correspond to an integrated luminosity of 138 fb⁻¹ of proton-proton collisions at a center-of-mass energy of 13 TeV. Good agreement with the standard model expectation is observed and no evidence for the existence of the W′ boson is found over the mass range examined. The largest observed deviation from the standard model expectation is found for a W′ boson mass (mW_′) hypothesis of 3.8 TeV with a relative decay width of 1%, with a local (global) significance of 2.6 (2.0) standard deviations. Upper limits on the production cross sections of W′ bosons decaying to a top and a bottom quark are set. Left- and right-handed W′ bosons with mW_′ below 3.9 and 4.3 TeV, respectively, are excluded at the 95% confidence level, under the assumption that the new particle has a narrow decay width. Limits are also set for relative decay widths up to 30%. © The Author(s) 2024.

关键词： Beyond Standard Model Hadron-Hadron Scattering Vector Boson Production

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Generalized potential for apparent forces: the Coriolis effect

arXiv

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arXiv 2020年

作者： Benedetto, Elmo Bochicchio, Ivana Corda, Christian Feleppa, Fabiano Laserra, Ettore Department of Computer Science University of Salerno Via Giovanni Paolo II 132 Fisciano Sa 84084 Italy Department of Civil Engineering University of Salerno Via Giovanni Paolo II 132 Fisciano Sa 84084 Italy International Institute for Applicable Mathematics and Information Sciences B. M. Birla Science Centre Adarshnagar Hyderabad500063 India Department of Physics Faculty of Science Istanbul University Istanbul34134 Turkey Department of Physics University of Trieste via Valerio 2 Trieste34127 Italy

It is well known, from Newtonian physics, that apparent forces appear when the motion of masses is described by using a non-inertial frame of reference. The generalized potential of such forces is rigorously analyzed ...

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H6 states studied in the H2(He8,He4) reaction and evidence of an extremely correlated character of the H5 ground state

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Physical Review C 2022年第6期105卷 064605-064605页

作者： E. Yu. Nikolskii I. A. Muzalevskii A. A. Bezbakh V. Chudoba S. A. Krupko S. G. Belogurov D. Biare A. S. Fomichev E. M. Gazeeva A. V. Gorshkov L. V. Grigorenko G. Kaminski M. Khirk O. Kiselev D. A. Kostyleva M. Yu. Kozlov B. Mauyey I. Mukha Yu. L. Parfenova W. Piatek A. M. Quynh V. N. Schetinin A. Serikov S. I. Sidorchuk P. G. Sharov N. B. Shulgina R. S. Slepnev S. V. Stepantsov A. Swiercz P. Szymkiewicz G. M. Ter-Akopian R. Wolski B. Zalewski M. V. Zhukov National Research Centre “Kurchatov Institute” Kurchatov Square 1 123182 Moscow Russia Flerov Laboratory of Nuclear Reactions JINR 141980 Dubna Russia Institute of Physics Silesian University in Opava 74601 Opava Czech Republic National Research Nuclear University “MEPhI” 115409 Moscow Russia Dubna State University 141982 Dubna Russia Heavy Ion Laboratory University of Warsaw 02-093 Warsaw Poland Skobeltsyn Institute of Nuclear Physics Moscow State University 119991 Moscow Russia GSI Helmholtzzentrum für Schwerionenforschung GmbH 64291 Darmstadt Germany II. Physikalisches Institut Justus-Liebig-Universität 35392 Giessen Germany Laboratory of Information Technologies JINR 141980 Dubna Russia Institute of Nuclear Physics 050032 Almaty Kazakhstan Nuclear Research Institute 670000 Dalat Vietnam Bogoliubov Laboratory of Theoretical Physics JINR 141980 Dubna Russia AGH University of Science and Technology Faculty of Physics and Applied Computer Science 30-059 Krakow Poland Institute of Nuclear Physics PAN Radzikowskiego 152 31342 Kraków Poland Department of Physics Chalmers University of Technology S-41296 Göteborg Sweden

The extremely neutron-rich system H6 was studied in the direct H2(He8,He4)H6 transfer reaction with a 26A MeV secondary He8 beam. The measured missing mass spectrum shows a broad bump at ≈4–8 MeV above the H3+3n decay threshold. This bump can be interpreted as a broad resonant state in H6 at 6.8(5) MeV. The population cross section of such a presumably p-wave state (or it may be few overlapping states) in the energy range from 4 to 8 MeV is dσ/dΩc.m.≃190−80+40μb/sr in the angular range 5∘<θc.m.<16∘. The obtained missing mass spectrum is practically free of H6 events below 3.5 MeV (dσ/dΩc.m.≲5μb/sr in the same angular range). The steep rise of the H6 missing mass spectrum at ≈3 MeV allows us to derive the lower limit for the possible resonant-state energy in H6 to be 4.5(3) MeV. According to the paring energy estimates, such a 4.5(3) MeV resonance is a realistic candidate for the H6 ground state (g.s.). The obtained results confirm that the decay mechanism of the H7 g.s. (located at 2.2 MeV above the H3+4n threshold) is the “true” (or simultaneous) 4n emission. The resonance energy profiles and the momentum distributions of fragments of the sequential H6→H5(g.s.)+n→H3+3n decay were analyzed by the theoretically updated direct four-body-decay and sequential-emission mechanisms. The measured momentum distributions of the H3 fragments in the H6 rest frame indicate very strong “dineutron-type” correlations in the H5 ground state decay.

关键词： Direct reactions H & He induced nuclear reactions Nuclear reactions Nucleon distribution Transfer reactions Unstable nuclei induced nuclear reactions 6 ≤ A ≤ 19 A ≤ 5

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Environmental sustainability in basic research A perspective from HECAP+

arXiv

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arXiv 2023年

作者： Banerjee, Shankha Chen, Thomas Y. David, Claire Düren, Michael Erbin, Harold Ghiglieri, Jacopo Gill, Mandeep S.S. Glaser, L. Gütschow, Christian Hall, Jack Joseph Hampp, Johannes Koppenburg, Patrick Koschnitzke, Matthias Lohwasser, Kristin Mahbubani, Rakhi Mehta, Viraf Millington, Peter Paul, Ayan Poblotzki, Frauke Potamianos, Karolos Šarčević, Nikolina Singh, Rajeev Wakeling, Hannah Walker, Rodney van der Wild, Matthijs Zurita, Pia CERN Switzerland Department of Computer Science Columbia University United States York University ON Canada Fermi National Accelerator Laboratory IL United States II. Physikalische Institut Centre for International Development and Environmental Research Justus Liebig University Giessen Germany Massachusetts Institute of Technology CambridgeMA United States NSF AI Institute for Artificial Intelligence and Fundamental Interactions Université Paris Saclay CEA LIST France SUBATECH Université de Nantes IMT Atlantique IN2P3/CNRS France Kavli Institute for Particle Astrophysics and Cosmology Stanford University CA United States Minnesota Institute for Astrophysics University of Minnesota MinneapolisMN United States Fermi National Accelerator Laboratory BataviaIL United States University of Vienna Austria University College London United Kingdom The Department of Physics and Astronomy University of Sheffield United Kingdom Centre for International Development and Environmental Research Justus Liebig University Germany Nikhef National Institute for Subatomic Physics Netherlands Deutsches Elektronen-Synchrotron DESY University of Hamburg Germany Rudjer Boskovic Institute Division of Theoretical Physics Zagreb Croatia Institute for Astrophysics and Geophysics University of Göttingen Germany Department of Physics and Astronomy University of Manchester United Kingdom Deutsches Elektronen-Synchrotron DESY Germany Northeastern University United States Department of Physics University of Warwick United Kingdom School of Mathematics Statistics and Physics Newcastle University United Kingdom Center for Nuclear Theory Department of Physics and Astronomy Stony Brook University United States Department of Physics McGill University QC Canada John Adams Institute University of Oxford United Kingdom Ludwig-Maximilians-Universität Munich Germany Department of Physics University of Durham United Kingdom Complutense University of Madrid Spain

The climate crisis and the degradation of the world’s ecosystems require humanity to take immediate action. The international scientific community has a responsibility to limit the negative environmental impacts of basic research. The HECAP+ communities (High Energy Physics, Cosmology, Astroparticle Physics, and Hadron and Nuclear Physics) make use of common and similar experimental infrastructure, such as accelerators and observatories, and rely similarly on the processing of big data. Our communities therefore face similar challenges to improving the sustainability of our research. This document aims to reflect on the environmental impacts of our work practices and research infrastructure, to highlight best practice, to make recommendations for positive changes, and to identify the opportunities and challenges that such changes present for wider aspects of social responsibility. © 2023, CC BY.

关键词： Environmental impact

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Deep 2.5D vehicle classification with sparse SfM depth prior for automated toll systems

arXiv

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arXiv 2018年

作者： Waltner, Georg Maurer, Michael Holzmann, Thomas Ruprecht, Patrick Opitz, Michael Possegger, Horst Fraundorfer, Friedrich Bischof, Horst Institute of Computer Graphics and Vision Faculty of Computer Science Graz University of Technology Graz8010 Austria

Automated toll systems rely on proper classification of the passing vehicles. This is especially difficult when the images used for classification only cover parts of the vehicle. To obtain information about the whole vehicle. we reconstruct the vehicle as 3D object and exploit this additional information within a Convolutional Neural Network (CNN). However, when using deep networks for 3D object classification, large amounts of dense 3D models are required for good accuracy, which are often neither available nor feasible to process due to memory requirements. Therefore, in our method we reproject the 3D object onto the image plane using the reconstructed points, lines or both. We utilize this sparse depth prior within an auxiliary network branch that acts as a regularizer during training. We show that this auxiliary regularizer helps to improve accuracy compared to 2D classification on a real-world dataset. Furthermore due to the design of the network, at test time only the 2D camera images are required for classification which enables the usage in portable computer vision systems. Copyright © 2018, The Authors. All rights reserved.

关键词： Classification (of information)

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Fundamental composite dynamics: A review

arXiv

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arXiv 2020年

作者： Cacciapaglia, Giacomo Pica, Claudio Sannino, Francesco de Lyon LyonF-69622 France CP3 -Origins Institute of Mathematics and Computer Science University of Southern Denmark Odense Denmark CP3 -Origins and Danish-IAS University of Southern Denmark Odense Denmark Dept. of Physics 'Ettore Pancini' Univ. di Napoli 'Federico II' Napoli Italy

We introduce fundamental gauge theories that can be employed to construct informed composite bright and dark extensions of the Standard Model, within and beyond the standard paradigms. The gap between theory and experiments is bridged by providing predictions and ways to test them, for example, at the Fermi scale and via precision flavor experiments. We will review time-honoured paradigms from (walking) technicolor to composite Goldstone Higgs and discuss their features and differences. Standard model fermion mass generation in composite models will also be discussed along with the challenges and opportunities that it offers. To be concrete and pedagogical we will concentrate on minimal constructions featuring strongly coupled gauge theories supporting the global symmetry breaking pattern SU(4)/Sp(4). The most minimal underlying fundamental description consists of an SU(2) gauge theory with two Dirac fermions transforming according to the fundamental representation of the gauge group. This minimal choice enables us to use first principle lattice results to predict the massive spectrum for models of composite (Goldstone) Higgs dynamics and strongly interacting dark matter, of immediate impact for current and future experimental searches. Because composite dynamics embraces a rich spectrum of theories with dynamics ranging from QCD-like behaviour to (near) conformal one, we also report here the state-of-the-art of numerical and analytic properties of several strongly coupled theories including their spectrum, phase diagrams and, when applicable, their (near) conformal data. Copyright © 2020, The Authors. All rights reserved.

关键词： Dynamics

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3D-print, virtual reality or regular screen? comparison of presentation modalities for 3D liver reconstructions

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HPB 2021年 23卷 S781-S781页

作者： Huettl, F. Saalfeld, P. Hansen, C. Preim, B. Poplawski, A. Kneist, W. Lang, H. Huber, T. University Medical Center of the Johannes Gutenberg-University Mainz Department of General Visceral and Transplant Surgery Germany Otto-von-Guericke University Magdeburg Institute of Simulation and Graphics Faculty of Computer Science Germany University Medical Center of the Johannes Gutenberg-University Mainz Institute of Medical Biostatistics Epidemiology and Informatics (IMBEI) Germany

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A smartphone accelerometer data-driven approach to recognize activities of daily life: A comparative study

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Smart Health 2023年 30卷

作者： Hussain, Faisal Goncalves, Norberto Jorge Alexandre, Daniel Coelho, Paulo Jorge Albuquerque, Carlos Quietinho Leithardt, Valderi Reis Pires, Ivan Miguel Al-Khwarizmi Institute of Computer Science (KICS) University of Engineering & Technology (UET) Lahore 54890 Pakistan Escola de Ciências e Tecnologia University of Trás-os-Montes e Alto Douro Quinta de Prados Vila Real 5001-801 Portugal Institute for Systems Engineering and Computers at Coimbra (INESC Coimbra) DEEC Pólo II Coimbra 3030-290 Portugal Polytechnic of Leiria Leiria 2411-901 Portugal Health Sciences Research Unit: Nursing (UICISA: E) Nursing School of Coimbra (ESEnfC) Coimbra 3004-011 Portugal Higher School of Health Polytechnic Institute of Viseu Viseu 3500-843 Portugal Child Studies Research Center (CIEC) University of Minho Braga 4710-057 Portugal Instituto Superior de Engenharia de Lisboa (ISEL) Instituto Politécnico de Lisboa Lisbon 1959-007 Portugal Instituto de Telecomunicações Covilhã 6201-001 Portugal Escola Superior de Tecnologia e Gestão de Águeda Universidade de Aveiro Águeda 3750-127 Portugal

Smartphones have become an indispensable part of our everyday life, influencing various aspects of our routines, from wake-up alarms to managing daily life activities. Nowadays, almost every smartphone has a built-in accelerometer sensor. Motivated by the notable increase in smartphone usage in our everyday life, in this research, we focus on harnessing the potential of smartphone accelerometers to recognize human daily life activities, aiming to leverage the usability and convenience of smartphones. We used smartphone accelerometer data from data collection to daily life activity recognition. To accomplish this, we first collected the smartphone's accelerometer data while performing five activities of daily living (ADLs) namely: moving downstairs, upstairs, running, standing, and walking, from 25 volunteers through a mobile application. After this, we extracted 15 statistical features from the smartphone's accelerometer data to efficiently classify the five referred ADLs. We then applied data pre-processing techniques, i.e., data cleaning and feature extraction. Afterward, we trained nine commonly used machine learning models to recognize five ADLs. Finally, we evaluated and compared the performance of all nine ML models to recognize each activity and analyzed the performance of these trained ML models to identify all five ADLs. The evaluated results revealed that the Adaboost (AB) classifier outperformed all other ML models with 100% area under the curve (AUC), precision, recall, accuracy, and F1-score for recognizing the five ADLs. © 2023 The Authors

关键词： Activities recognition Daily life activities Human activities detection Human activities recognition Machine learning Wearable sensors

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