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38th International Cosmic Ray Conference, ICRC 2023

作者： Palacios González, J. Le Stum, S. Dornic, D. Filippini, F. Illuminati, G. Salesa Greus, F. Sánchez Losa, A. Vannoye, G. Zegarelli, A. Aiello, S. Albert, A. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androutsou, e. Anguita, M. Aphecetche, L. Ardid, M. Ardid, S. Atmani, H. Aublin, J. bailly-Salins, L. bardacová, Z. baret, b. bariego-Quintana, A. basegmez du Pree, S. becherini, Y. bendahman, M. benfenati, F. benhassi, M. benoit, D.M. berb.e, e. bertin, V. biagi, S. b.ettcher, M. bonanno, D. boumaaza, J. bouta, M. bouwhuis, M. bozza, C. bozza, R.M. brânzas, H. b.etaudeau, F. bruijn, R. brunner, J. bruno, R. buis, e. buompane, R. busto, J. Caiffi, b. Calvo, D. Campion, S. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chadolias, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.b. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Cruz, A. Cuttone, G. Dallier, R. Darras, Y. De benedittis, A. De Martino, b. Decoene, V. Del burgo, R. Di Cerbo, U.M. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diaz, C. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drakopoulou, e. Drouhin, D. Dvornický, R. eberl, T. eckerová, e. eddymaoui, A. van eeden, T. eff, M. van eijk, D. el bojaddaini, I. el Hedri, S. enzenhöfer, A. Ferrara, G. Filipovic, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gabriel, J. Gagliardini, S. Gal, T. García Méndez, J. Garcia Soto, A. Gatius Oliver, C. Geißelb.echt, N. Ghaddari, H. Gialanella, L. Gibson, b.K. Giorgio, e. Goos, I. Goupilliere, D. Gozzini, S.R. Gracia, R. Graf, K. Guidi, C. Guillon, b. Gutiérrez, M. van Haren, H. Heijb.er, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Huang, F. Idrissi Ibnsalih, W. Illuminati, G. James, C.W. de Jong, M. de Jong, P. Jung, b.J. Kalaczynski, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Khatun, A. Kistauri, G. Kopper, C. Kouchner, A. Aix Marseille University CNRS IN2P3 CPPM Marseille France Dipartimento di Fisica e Astronomia dell’ Università Bologna Italy INFN Sezione di Bologna Bologna Italy Dipartamento di Fisica Universita’ Sapienza. Roma Italy INFN Sezione di Roma Roma Italy INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France IFIC - Instituto de Física Corpuscular CSIC Universitat de València c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d’Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Subatech IMT Atlantique IN2P3-CNRS Université de Nantes 4 rue Alfred Kastler - La Chantrerie BP 20722 Nantes44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Czech Technical University in Prague Institute of Experimental and Applied Physics Husova 240/5 Prague110 00 Czech Republic Comenius University in Bratislava Depar

On October 9th 2022, the Swift-bAT telescope detected a spectacular transient event, soon classified as a Gamma-Ray burst (GRb), based on the Fermi-GbM ob.ervation performed one hour earlier. Photons up to TeV energies were ob.erved from such GRb by LHAASO, corresponding to the highest energy ever detected from a GRb. Just after this detection, a large number of ob.ervatories detected and characterized the multi-wavelength and multi-messenger emissions of this GRb, in one of the largest worldwide follow-up campaigns ever. The KM3NeT neutrino telescope was one of the experiments that participated in the follow-up effort. KM3NeT is currently being built in the Mediterranean Sea and is composed of two detectors: ORCA, optimized for the detection of signals induced by neutrinos in the GeV-TeV range, and ARCA, mainly focused in neutrinos at the TeV-PeV range. MeV neutrinos can also be detected by looking for rate coincidences of Photo-Multipliers Tubes signals in both detectors. A first fast analysis was performed using data from the online reconstruction chain. In this contribution, we present a refined follow-up analysis, where new offline features are added together with improved calibration and optimized event selection. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Neutrons

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Data reconstruction and classification with graph neural networks in KM3NeT/ARCA6-8 38

Data reconstruction and classification with graph neural net...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Filippini, Francesco Androutsou, eleni Domi, Alba Spisso, bernardino Drakopoulou, evangelia Aiello, S. Albert, A. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androutsou, e. Anguita, M. Aphecetche, L. Ardid, M. Ardid, S. Atmani, H. Aublin, J. bailly-Salins, L. bardačová, Z. baret, b. bariego-Quintana, A. basegmez du Pree, S. becherini, Y. bendahman, M. benfenati, F. benhassi, M. benoit, D.M. berb.e, e. bertin, V. biagi, S. b.ettcher, M. bonanno, D. boumaaza, J. bouta, M. bouwhuis, M. bozza, C. bozza, R.M. brânzaş, H. b.etaudeau, F. bruijn, R. brunner, J. bruno, R. buis, e. buompane, R. busto, J. Caiffi, b. Calvo, D. Campion, S. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chadolias, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.b. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Cruz, A. Cuttone, G. Dallier, R. Darras, Y. De benedittis, A. De Martino, b. Decoene, V. Del burgo, R. Di Cerbo, U.M. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diaz, C. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drakopoulou, e. Drouhin, D. Dvornický, R. eberl, T. eckerová, e. eddymaoui, A. van eeden, T. eff, M. van eijk, D. el bojaddaini, I. el Hedri, S. enzenhöfer, A. Ferrara, G. Filipović, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gabriel, J. Gagliardini, S. Gal, T. García Méndez, J. Garcia Soto, A. Gatius Oliver, C. Geißelb.echt, N. Ghaddari, H. Gialanella, L. Gibson, b.K. Giorgio, e. Goos, I. Goupilliere, D. Gozzini, S.R. Gracia, R. Graf, K. Guidi, C. Guillon, b. Gutiérrez, M. van Haren, H. Heijb.er, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Huang, F. Idrissi Ibnsalih, W. Illuminati, G. James, C.W. de Jong, M. de Jong, P. Jung, b.J. Kalaczyński, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Khatun, A. Kistauri, G. Kopper, C. Kouchner, A. Kulikovskiy, V. Kvatadze, R. Labalme, M. Università di Bologna Dipartimento di Fisica e Astronomia v.le C. Berti-Pichat 6/2 Bologna40127 Italy INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece Erlangen Centre for Astroparticle Physics Friedrich-Alexander-Universität Nikolaus-Fiebiger-Straße 2 Erlangen91058 Germany INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Gruppo Collegato di Salerno Dipartimento di Fisica Via Giovanni Paolo II 132 Fisciano84084 Italy INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France IFIC - Instituto de Física Corpuscular CSIC Universitat de València c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d’Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Subatech IMT Atlantique IN2P3-CNRS Université de Nantes 4 rue Alfred Kastler - La Chantrerie BP 20722 Nantes44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Czech Technical Univers

KM3NeT is a research infrastructure hosting two large-volume Cherenkov neutrino detectors which are currently under construction in the Mediterranean Sea. The KM3NeT/ARCA detector is optimised for the detection of high-energy neutrinos from astrophysical sources in the TeV-PeV energy range. Once completed, the detector will consist of 230 detection units. Here, we present a Deep Learning method using graph neural networks that is trained and applied to events gathered with 6 and 8 active detection units of KM3NeT/ARCA. Graph neural networks have b.en trained for classification and regression tasks, showing very promising performances in a range of different tasks like neutrino-background identification, neutrino event topology classification, energy and direction reconstruction, and also in the study of properties of muon bundles. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Neutrons

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A Proposed Approach for Character Recognition Using Document Analysis with OCR

A Proposed Approach for Character Recognition Using Document...

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International Conference on ent Computing and Control Systems (ICICCS)

作者： Harneet Singh Anmol Sachan B.E.- Computer Science Engineering Chandigarh University Mohali Punjab INDIA

ISBN: (纸本)9781538628430;9781538628423

Data entry has b.en a hectic job since the era of data accumulation started. Apparently, that is why there is a full-fledged career in data entry. Data entry method varies with requirements. early days of computers relied on punch cards and gradually keyboards and mouse came into picture which we still use. Touchscreens didn't take much time to replace the physical keyboard inputs and now as the result of human intelligence and innovation, the era of the optical input is here. Where the user does not even have to take the pain of thinking about entering data but can simply use an optical reader or scanner to input data. Using the computational power the individual elements like text, images, and special characters can be distinguished. OCR-Optical Character Recognizer does the work. OCR works similar to humans when it comes to character recognition as it maintains a database of characters and compares all the scanned elements with the database which makes it really simple to understand. This paper explains the working of an OCR in its different stages. That study helps in finding the various drawbacks of the conventional system. The paper also tells about how those shortcomings can be eliminated and how a better OCR that is future ready can be achieved.

关键词： Optical character recognition software Character recognition Text analysis Databases Conferences Control systems Technological innovation

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Search for cosmic neutrino point sources and extended sources with 6-21 lines of KM3NeT/ARCA

Search for cosmic neutrino point sources and extended source...

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38th International Cosmic Ray Conference, ICRC 2023

作者： Muller, Rasa van eeden, Thijs Heijb.er, Aart Aiello, S. Albert, A. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androutsou, e. Anguita, M. Aphecetche, L. Ardid, M. Ardid, S. Atmani, H. Aublin, J. bailly-Salins, L. bardačová, Z. baret, b. bariego-Quintana, A. basegmez du Pree, S. becherini, Y. bendahman, M. benfenati, F. benhassi, M. benoit, D.M. berb.e, e. bertin, V. biagi, S. b.ettcher, M. bonanno, D. boumaaza, J. bouta, M. bouwhuis, M. bozza, C. bozza, R.M. brânzaş, H. b.etaudeau, F. bruijn, R. brunner, J. bruno, R. buis, e. buompane, R. busto, J. Caiffi, b. Calvo, D. Campion, S. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chadolias, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.b. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Cruz, A. Cuttone, G. Dallier, R. Darras, Y. De benedittis, A. De Martino, b. Decoene, V. Del burgo, R. Di Cerbo, U.M. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diaz, C. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drakopoulou, e. Drouhin, D. Dvornický, R. eberl, T. eckerová, e. eddymaoui, A. van eeden, T. eff, M. van eijk, D. el bojaddaini, I. el Hedri, S. enzenhöfer, A. Ferrara, G. Filipović, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gabriel, J. Gagliardini, S. Gal, T. García Méndez, J. Garcia Soto, A. Gatius Oliver, C. Geißelb.echt, N. Ghaddari, H. Gialanella, L. Gibson, b.K. Giorgio, e. Goos, I. Goupilliere, D. Gozzini, S.R. Gracia, R. Graf, K. Guidi, C. Guillon, b. Gutiérrez, M. van Haren, H. Heijb.er, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Huang, F. Idrissi Ibnsalih, W. Illuminati, G. James, C.W. de Jong, M. de Jong, P. Jung, b.J. Kalaczyński, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Khatun, A. Kistauri, G. Kopper, C. Kouchner, A. Kulikovskiy, V. Kvatadze, R. Labalme, M. Lahmann, R. Larosa, G. Lastoria, C. Lazo, A. Le Stum, S. Nikhef Science Park 105 Amsterdam Netherlands INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d’Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece University of Granada Dept. of Computer Architecture and Technology/CITIC Granada18071 Spain Subatech IMT Atlantique IN2P3-CNRS Université de Nantes 4 rue Alfred Kastler - La Chantrerie BP 20722 Nantes44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/ Paranimf 1 Gandia46730 Spain University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Czech Technical University in Prague Institute of Experimental and Applied Physics Husova 240/5 Prague110 00 Czech Republic Comenius University in Bratislava Department of Nuclear Physics and Biophysics Mlynska dolina F1 Bratislava842 48 Slovakia Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands INFN Sezione di Bologna v.le C. Berti-Pichat 6/2 Bologna40127 Italy Università di Bologna Diparti

The identification of cosmic ob.ects emitting high energy neutrinos provides new insights about the Universe and its active sources. The existence of cosmic neutrinos has b.en proven by the IceCube Neutrino Ob.ervatory, but the big question of which sources these neutrinos originate from remains largely unanswered. The KM3NeT detector for Astroparticle Research with Cosmics in the Abyss (ARCA), is currently being built in the Mediterranean Sea. It will have an instrumented volume of a cubic kilometre, and excel at identifying cosmic neutrino sources due to its unprecedented angular resolution ( 100 TeV). KM3NeT has a view of the sky complementary to IceCube, and is sensitive to neutrinos across a wide range of energies. Currently KM3NeT/ARCA is taking data with 21 detector lines. This contribution will present the results of point source and extended source searches with KM3NeT/ARCA with data from 2021 and 2022 taken with an evolving detector geometry. © Copyright owned by the author(s) under the terms of the Creative Commons.

关键词： Cosmology

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Art and Astrophysics in Conversation with KM3NeT Deep in the Mediterranean Sea 18

Art and Astrophysics in Conversation with KM3NeT Deep in the...

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18th International Conference on Topics in Astroparticle and Underground Physics, TAUP 2023

作者： Fortescue, Donald Ilioni, Alin Aiello, S. Albert, A. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androutsou, e. Anguita, M. Aphecetche, L. Ardid, M. Ardid, S. Atmani, H. Aublin, J. bailly-Salins, L. bardačová, Z. baret, b. bariego-Quintana, A. basegmez du Pree, S. becherini, Y. bendahman, M. benfenati, F. benhassi, M. benoit, D.M. berb.e, e. bertin, V. biagi, S. b.ettcher, M. bonanno, D. boumaaza, J. bouta, M. bouwhuis, M. bozza, C. bozza, R.M. brânzaş, H. b.etaudeau, F. bruijn, R. brunner, J. bruno, R. buis, e. buompane, R. busto, J. Caiffi, b. Calvo, D. Campion, S. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chadolias, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.b. Coleiro, A. Coniglione, R. Coyle, Paschal Creusot, A. Cruz, A. Cuttone, G. Dallier, R. Darras, Y. De benedittis, A. De Martino, b. De Wasseige, Gwenhaël Decoene, V. Del burgo, R. Di Cerbo, U.M. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diaz, C. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drakopoulou, e. Drouhin, D. Dvornický, R. eberl, T. eckerová, e. eddymaoui, A. van eeden, T. eff, M. van eijk, D. el bojaddaini, I. el Hedri, S. enzenhöfer, A. de Favereau, J. Ferrara, G. Filipović, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gabriel, J. Gagliardini, S. Gal, T. García Méndez, J. Garcia Soto, A. Gatius Oliver, C. Geißelb.echt, N. Ghaddari, H. Gialanella, L. Gibson, b.K. Giorgio, e. Goos, I. Goupilliere, D. Gozzini, S.R. Gracia, R. Graf, K. Guidi, C. Guillon, b. Gutiérrez, M. van Haren, H. Heijb.er, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Huang, F. Idrissi Ibnsalih, W. Illuminati, G. James, C.W. de Jong, M. de Jong, P. Jung, b.J. Kalaczyński, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Khatun, A. Kistauri, G. Kopper, C. Kouchner, A. Kulikovskiy, V. Kvatadze, R. Labalme, M. Lahmann, R. Lamoureux, M. California College of the Arts San FranciscoCA United States Centre for Cosmology Particle Physics and Phenomenology - CP3 Universite Catholique de Louvain Louvain-la-NeuveB-1348 Belgium Aix-Marseille Université CNRS IN2P3 CPPM 163 Avenue de Luminy Case 902 Marseille13288 Cedex 09 France Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d'Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece University of Granada Dept. of Computer Architecture and Technology/CITIC Granada18071 Spain Subatech IMT Atlantique IN2P3-CNRS Université de Nantes 4 rue Alfred Kastler - La Chantrerie BP 20722 Nantes44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/Paranimf 1 Gandia46730 Spain University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Czech Technical University in Prague Institute of Experimental and Applied Physics Husova 240/5 Prague110 00 Czech Re

We present the result of a cross-disciplinary collaboration between the California College of the Arts, San Francisco and the KM3NeT Collaboration. The project involved creating an analog sound producing instrument which was installed within a standard KM3NeT pressure resistant glass sphere housing along with sound and video recording equipment. The instrument, titled "bathysphere", was deployed in the sea for the first time adjacent to the ORCA array of KM3NeT off the coast of Toulon, France on September 23, 2021. One outcome of this project is the video work "below the Surface". It incorporates sound and video recorded from within the "bathysphere" as it floated on the surface of the Mediterranean and then as it dived down to 300 m depth. As the "bathysphere" dived, the analog instrument it contained quietened. The sound in the dive portion of the video is created from the sonification of data from the KM3NeT array that was recorded during the deployment of the "bathysphere". "below the Surface" highlights the extraordinary environment in which the KM3NeT array is being created and operates. The data sonification illustrates the potential of this method of data representation to connect with viewers in a deeply physical way and offers new perspectives on the data collected by KM3NeT. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC bY-NC-ND 4.0).

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Genomic instability and shear stress influence quantum dot-induced endothelial cell responses and gene expression

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Materials Today Nano 2025年 31卷

作者： Yasmin Ab.elkader Mahmoud Ab.elkarim Madhumita Suresh Tulio J. Lopera Simranpreet Dhaliwal Shahla Shojaei Lucas J. Pope Qian Liu Pingzhao Hu Hisashi Haga Kelsie L. Thu Simona Giunta Seiichiro Ishihara Max Anikovskiy Hagar I. Labouta Leslie Dan Faculty of Pharmacy University of Toronto Toronto Ontario M5S 3M2 Canada The Keenan Research Centre for Biomedical Science of St. Michael's Hospital Unity Health Toronto University of Toronto Toronto Ontario M5B 1T8 Canada Institute of Biomedical Engineering University of Toronto Toronto Ontario M5S 3G9 Canada College of Pharmacy University of Manitoba Winnipeg Manitoba R3E 0T5 Canada Department of Chemistry University of Calgary Calgary Alberta T2N 1N4 Canada Department of Applied Computer Science University of Winnipeg Manitoba R3B 2E9 Canada Department of Biochemistry Western University London Ontario N6G 1G8 Canada Faculty of Advanced Life Science Hokkaido University Sapporo 060-0810 Japan Department of Laboratory Medicine and Pathobiology University of Toronto Toronto Ontario M5S 1A8 Canada Department of Biology and Biotechnologies Charles Darwin Sapienza University of Rome 00185 Italy

Little is known about endothelial cell responses to nanoparticles under conditions simulating dysfunctional endothelium, a hallmark of vascular diseases, cancer, and aging. endothelial genomic abnormalities and shear stress on the endothelial cells due to blood flow are key components of this microenvironment. Using organ-on-a-chip technologies and transcriptomics, we investigated the effects of genomic instability and shear stress on endothelial cell-level and RNA-level responses to model nanoparticles, CdSe/ZnS and InP/ZnS quantum dots (QDs). QDs were selected for their diagnostic potential, photostability enabling cellular tracking, and high uptake attributed to their ultrasmall size (13.9 and 3.9 nm). To model genomic instability, HUVeC cells were treated with monastrol (mt-HUVeCs), and both control and mt-HUVeC models were exposed to 5 nM QD concentration. Transcriptomic analysis showed that Cdc20 gene was more downregulated in mt-HUVeCs under dynamic flow (−5.68 vs dynamic HUVeCs; −6.4 vs static mt-HUVeCs), indicating a synergistic effect of flow and genomic instability on cell cycle suppression. exposure to CdSe/ZnS QDs under dynamic conditions led to downregulation of the adherens junction pathway, which is consistent with the ob.erved higher uptake and upregulation of heat shock and inflammatory response pathways. In contrast, InP/ZnS QDs upregulated tight junctions, explaining their lower uptake. both QDs induced apoptotic pathway upregulation, with CdSe/ZnS QDs having more detrimental effects on viability. Combining genomic instability and shear stress resulted in different cell phenotypes that led to distinct cell responses and cell uptake of QDs. These findings guide future studies to better characterize endothelial responses to nanoparticles under biologically relevant conditions.

关键词： Genomic instability Shear stress Quantum dots Organ-on-a-chip

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VLA Legacy Survey of Molecular Gas in Massive Star-forming Galaxies at High Redshift

arXiv

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arXiv 2023年

作者： Castillo, Marta Frias Hodge, Jacqueline Rybak, Matus Van Der Werf, Paul Smail, Ian birkin, Jack e. Chen, Chian-Chou Chapman, Scott C. Hill, Ryley Del Lagos, Claudia P. Liao, Cheng-Lin Da Cunha, elisabete Rivera, Gabriela Calistro Chen, Jianhang Jiménez-Andrade, e.F. Murphy, eric J. Scott, Douglas Swinbank, A.M. Walter, Fabian Ivison, R.J. Dannerbauer, Helmut Leiden Observatory Leiden University P.O. Box 9513 Leiden2300 RA Netherlands Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Mekelweg 4 Delft2628 CD Netherlands Centre for Extragalactic Astronomy Department of Physics Durham University South Road DurhamDH1 3LE United Kingdom No.1 Section 4 Roosevelt Road Taipei10617 Taiwan Department of Physics and Atmospheric Science Dalhousie University Halifax HalifaxNSB3H 3J5 Canada Department of Physics and Astronomy University of British Columbia 6225 Agricultural Road VancouverV6T 1Z1 Canada M468 University of Western Australia 35 Stirling Hwy CrawleyWA6009 Australia Australia Rådmandsgade 62 KøbenhavnDK-2200 Denmark Graduate Institute of Astrophysics National Taiwan University Taipei10617 Taiwan International Centre for Radio Astronomy Research University of Western Australia 35 Stirling Hwy CrawleyWA6009 Australia Karl-Schwarzschild-Straße 2 Garching bei München85748 Germany Instituto de Radioastronomía y Astrofísica Universidad Nacional Autónoma de México Antigua Carretera a Pátzcuaro # 8701 Ex-Hda. San José de la Huerta Michoacán MoreliaC.P. 58089 Mexico National Radio Astronomy Observatory 520 Edgemont Road CharlottesvilleVA22903 United States Max Planck Institute for Astronomy Königstuhl 17 Heidelberg69117 Germany National Radio Astronomy Observatory Pete V. Domenici Array Science Center P.O. Box O SocorroNM87801 United States Institute for Astronomy University of Edinburgh Royal Observatory EdinburghEH9 3HJ United Kingdom Tenerife La LagunaE-38205 Spain Dpto. Astrofísica Universidad de la Laguna Tenerife La LagunaE-38206 Spain

We present initial results of an ongoing survey with the Karl G. Jansky Very Large Array targeting the CO(J = 1-0) transition in a sample of 30 submillimeter-selected, dusty star-forming galaxies at z = 2-5 with existing mid-J CO detections from ALMA and NOeMA, of which 17 have b.en fully ob.erved. We detect CO(1-0) emission in 11 targets, along with three tentative (∼1.5-2σ) detections;three galaxies are undetected. Our results yield total molecular gas masses of 6-23×1010(αCO/1) Mo, with gas mass fractions, fgas=Mmol/(M∗+Mmol), of 0.1-0.8 and a median depletion time of (140±70) Myr. We find median CO excitation ratios of r31= 0.75±0.39 and r41= 0.63±0.44, with a significant scatter. We find no significant correlation between the excitation ratio and a number of key parameters such as redshift, CO(1-0) line width or ΣSFR. We only find a tentative positive correlation between r41and the star-forming efficiency, but we are limited by our small sample size. Finally, we compare our results to predictions from the SHARK semi-analytical model, finding a good agreement between the molecular gas masses, depletion times and gas fractions of our sources and their SHARK counterparts. Our results highlight the heterogeneous nature of the most massive star-forming galaxies at high-redshift, and the importance of CO(1-0) ob.ervations to robustly constrain their total molecular gas content and ISM properties. Copyright © 2023, The Authors. All rights reserved.

关键词： Galaxies

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A survey on morphological assessment of knee articular cartilage from MR images

A survey on morphological assessment of knee articular carti...

引用

2018 International Conference on Smart Systems and Inventive Technology, ICSSIT 2018

作者： Mahendrakar, Pavan biradar, Shankremma Naik, Sakku Arjunwad, Shruti Khatavi, Rajashree Department of Computer Science and Engineering B.L.D.E.A's V. P. Dr. P G. Halakatti College of Engineeringand Technology Vijayapur Karnataka586103 India

ISBN: (纸本)9781538658734

Nowadays, articular disorders and musculoskeletal diseases are one of the major health issues and attack usually the older generations. The human knee joint is commonly infected by osteoarthritis (OA) disease. OA can affect the joints of the spine, fingers, thumbs, hips, knees, and toes, but it is most prevalent in the knee and hip joints. Here we are concentrating only on Knee joints. Knee Osteoarthritis is a serious, excruciating & potentially life-threatening joint disease, may lead to permanent disability. It can be detected by measuring changes in knee internal tissues such as cartilage, meniscus and Subchondral Cartilage. For detecting knee osteoarthritis, Magnetic Resonance Imaging is performed to obtain a detailed picture of knee joint and change are measured from MR images. MRI is a test that uses powerful magnets, radio waves, and a make to comprehensive pictures inside our *** main ob.ective is to develop a fully automated non-contrast MRI application for detection and Segmentation of knee bones. The proposed approach is based on Convolution Neural Network to achieve a robust and perfect segmentation of even highly pathological knee structures. © 2018 Ieee.

关键词： Cartilage

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KM3NeT real-time analysis framework 18

KM3NeT real-time analysis framework

引用

18th International Conference on Topics in Astroparticle and Underground Physics, TAUP 2023

作者： Mastrodicasa, M. Aiello, S. Albert, A. Alshamsi, M. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androutsou, e. Anguita, M. Aphecetche, L. Ardid, M. Ardid, S. Atmani, H. Aublin, J. bailly-Salins, L. bardačová, Z. baret, b. bariego-Quintana, A. basegmez du Pree, S. becherini, Y. bendahman, M. benfenati, F. benhassi, M. benoit, D.M. berb.e, e. bertin, V. biagi, S. b.ettcher, M. bonanno, D. boumaaza, J. bouta, M. bouwhuis, M. bozza, C. bozza, R.M. brânzaş, H. b.etaudeau, F. bruijn, R. brunner, J. bruno, R. buis, e. buompane, R. busto, J. Caiffi, b. Calvo, D. Campion, S. Capone, A. Carenini, F. Carretero, V. Cartraud, T. Castaldi, P. Cecchini, V. Celli, S. Cerisy, L. Chabab, M. Chadolias, M. Chen, A. Cherubini, S. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.b. Coleiro, A. Coniglione, R. Coyle, P. Creusot, A. Cuttone, G. Dallier, R. Darras, Y. De benedittis, A. De Martino, b. Decoene, V. Del burgo, R. Del Rosso, I. Di Cerbo, U.M. Di Mauro, L.S. Di Palma, I. Díaz, A.F. Diaz, C. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drakopoulou, e. Drouhin, D. Dvornický, R. eberl, T. eckerová, e. eddymaoui, A. van eeden, T. eff, M. van eijk, D. el bojaddaini, I. el Hedri, S. enzenhöfer, A. Ferrara, G. Filipović, M.D. Filippini, F. Franciotti, D. Fusco, L.A. Gabriel, J. Gagliardini, S. Gal, T. García Méndez, J. Garcia Soto, A. Gatius Oliver, C. Geißelb.echt, N. Ghaddari, H. Gialanella, L. Gibson, b.K. Giorgio, e. Goos, I. Goupilliere, D. Gozzini, S.R. Gracia, R. Graf, K. Guidi, C. Guillon, b. Gutiérrez, M. van Haren, H. Heijb.er, A. Hekalo, A. Hennig, L. Hernández-Rey, J.J. Idrissi Ibnsalih, W. Illuminati, G. de Jong, M. de Jong, P. Jung, b.J. Kalaczyński, P. Kalekin, O. Katz, U.F. Khan Chowdhury, N.R. Khatun, A. Kistauri, G. Kopper, C. Kouchner, A. Kueviakoe, V. Kulikovskiy, V. Kvatadze, R. Labalme, M. Lahmann, R. Larosa, G. Lastoria, C. Lazo, A. Le Stum, S. Lehaut, G. Sapienza Università di Roma Piazzale Aldo Moro 5 Rome00185 Italy Istituto Nazionale di Fisica Nucleare Sezione di Roma Piazzale Aldo Moro 5 Rome00185 Italy INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France Aix Marseille Univ CNRS IN2P3 CPPM Marseille France University of Sharjah Sharjah Academy for Astronomy Space Sciences and Technology University Campus - POB 27272 Sharjah United Arab Emirates c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d'Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece University of Granada Dept. of Computer Architecture and Technology/CITIC Granada18071 Spain Subatech IMT Atlantique IN2P3-CNRS Nantes Université 4 rue Alfred Kastler - La Chantrerie BP 20722 Nantes44307 France Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/Paranimf 1 Gandia46730 Spain University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battouta B.P. 1014 RabatR.P. 10000 Morocco Université Paris Cité CNRS Astroparticule et Cosmologie ParisF-75013 France LPC CAEN Normandie Univ ENSICAEN UNICAEN CNRS IN2P3 6 boulevard Maréchal Juin Caen14050 France Czech Technical University in Prague Institute of Experimental and Applied Physics Husova 240/5 Prague110 00 Czech Republic Comenius University in Bratislava Department of Nuclear Physics and

KM3NeT is a deep-sea neutrino ob.ervatory under construction at two sites in the Mediterranean Sea. The ARCA telescope (Italy), aims at identifying and studying TeV-PeV astrophysical neutrino sources, while the ORCA telescope (France), aims at studying the intrinsic properties of neutrinos in the few-GeV range. Since they are optimised in complementary energy ranges, both telescopes can be used to do neutrino astronomy from a few MeV to a few PeV, despite of their different primary goals. The KM3NeT ob.ervatory takes active part to the real-time multi-messenger searches, which allow to study transient phenomena by combining information from the simultaneous ob.ervation of complementary cosmic messengers with different ob.ervatories. In this respect, a key component is the real-time distribution of alerts when potentially interesting detections occur, in order to increase the discovery potential of transient sources and refine the localization of poorly localized triggers, such as gravitational waves. The KM3NeT real-time analysis framework is currently reconstructing all ARCA and ORCA events, searching for spatial and temporal coincidences with alerts received from other operating multi-messenger instruments and performing core-collapse supernova analyses. The selection of a sample of interesting events to send alerts to the external multi-messenger community is presently under definition. This contribution deals with the status of the KM3NeT real-time analysis framework and its first results. © Copyright owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC bY-NC-ND 4.0).

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An incremental explanation of inference in bayesian networks for increasing model trustworthiness and supporting clinical decision making

arXiv

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arXiv 2020年

作者： Kyrimi, evangelia Mossadegh, Somayyeh Tai, Nigel Marsh, William School of Electronic Engineering and Computer Science Queen Mary University of London Mile End Road LondonE1 4NS United Kingdom Centre for Trauma Sciences Blizard Institute Queen Mary University of London The Blizard Building 4 Newark Street LondonE1 2AT United Kingdom Royal London Hospital Barts and The London NHS Trust LondonE11BB United Kingdom Academic Department of Military Surgery and Trauma Royal Centre for Defence Medicine Birmingham Research Park Vincent Drive BirminghamB152SQ

Various AI models are increasingly being considered as part of clinical decision-support tools. However, the trustworthiness of such models is rarely considered. Clinicians are more likely to use a model if they can understand and trust its predictions. Key to this is if its underlying reasoning can be explained. A bayesian network (bN) model has the advantage that it is not a black-box and its reasoning can be explained. In this paper, we propose an incremental explanation of inference that can be applied to 'hybrid' bNs, i.e. those that contain both discrete and continuous nodes. The key questions that we answer are: (1) which important evidence supports or contradicts the prediction, and (2) through which intermediate variab.es does the information flow. The explanation is illustrated using a real clinical case study. A small evaluation study is also conducted. Copyright © 2020, The Authors. All rights reserved.

关键词： Decision making

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