Author: "Yuta, T." - Searchworks@Jio Institute Digital Library Search Results

20 results on '"Yuta, T."'

1. Connecting the data landscape of long-term ecological studies:The SPI-Birds data hub

Author: Culina, A., Adriaensen, F., Bailey, L.D., Burgess, M.D., Charmantier, A., Cole, E.F., Eeva, T., Matthysen, E., Nater, C.R., Sheldon, B.C., Sæther, B.-E., Vriend, S.J.G., Zajkova, Z., Adamík, P., Aplin, L.M., Angulo, E., Artemyev, A., Barba, E., Barišić, S., Belda, E., Bilgin, C.C., Bleu, J., Both, C., Bouwhuis, S., Branston, C.J., Broggi, J., Burke, T., Bushuev, A., Camacho, C., Campobello, D., Canal, D., Cantarero, A., Caro, S.P., Cauchoix, M., Chaine, A., Cichoń, M., Ćiković, D., Cusimano, C.A., Deimel, C., Dhondt, A.A., Dingemanse, N.J., Doligez, B., Dominoni, D.M., Doutrelant, C., Drobniak, S.M., Dubiec, A., Eens, M., Einar Erikstad, K., Espín, S., Farine, D.R., Figuerola, J., Kavak Gülbeyaz, P., Grégoire, A., Hartley, I.R., Hau, M., Hegyi, G., Hille, S., Hinde, C.A., Holtmann, B., Ilyina, T., Isaksson, C., Iserbyt, A., Ivankina, E., Kania, W., Kempenaers, B., Kerimov, A., Komdeur, J., Korsten, P., Král, M., Krist, M., Lambrechts, M., Lara, C.E., Leivits, A., Liker, A., Lodjak, J., Mägi, M., Mainwaring, M.C., Mänd, R., Massa, B., Massemin, S., Martínez-Padilla, J., Mazgajski, T.D., Mennerat, A., Moreno, J., Mouchet, A., Nakagawa, S., Nilsson, J.-Å., Nilsson, J.F., Cláudia Norte, A., van Oers, K., Orell, M., Potti, J., Quinn, J.L., Réale, D., Kristin Reiertsen, T., Rosivall, B., Russell, A.F., Rytkönen, S., Sánchez-Virosta, P., Santos, E.S.A., Schroeder, J., Senar, J.C., Seress, G., Slagsvold, T., Szulkin, M., Teplitsky, C., Tilgar, V., Tolstoguzov, A., Török, J., Valcu, M., Vatka, E., Verhulst, S., Watson, H., Yuta, T., Zamora-Marín, J.M., Visser, M.E., Culina, A., Adriaensen, F., Bailey, L.D., Burgess, M.D., Charmantier, A., Cole, E.F., Eeva, T., Matthysen, E., Nater, C.R., Sheldon, B.C., Sæther, B.-E., Vriend, S.J.G., Zajkova, Z., Adamík, P., Aplin, L.M., Angulo, E., Artemyev, A., Barba, E., Barišić, S., Belda, E., Bilgin, C.C., Bleu, J., Both, C., Bouwhuis, S., Branston, C.J., Broggi, J., Burke, T., Bushuev, A., Camacho, C., Campobello, D., Canal, D., Cantarero, A., Caro, S.P., Cauchoix, M., Chaine, A., Cichoń, M., Ćiković, D., Cusimano, C.A., Deimel, C., Dhondt, A.A., Dingemanse, N.J., Doligez, B., Dominoni, D.M., Doutrelant, C., Drobniak, S.M., Dubiec, A., Eens, M., Einar Erikstad, K., Espín, S., Farine, D.R., Figuerola, J., Kavak Gülbeyaz, P., Grégoire, A., Hartley, I.R., Hau, M., Hegyi, G., Hille, S., Hinde, C.A., Holtmann, B., Ilyina, T., Isaksson, C., Iserbyt, A., Ivankina, E., Kania, W., Kempenaers, B., Kerimov, A., Komdeur, J., Korsten, P., Král, M., Krist, M., Lambrechts, M., Lara, C.E., Leivits, A., Liker, A., Lodjak, J., Mägi, M., Mainwaring, M.C., Mänd, R., Massa, B., Massemin, S., Martínez-Padilla, J., Mazgajski, T.D., Mennerat, A., Moreno, J., Mouchet, A., Nakagawa, S., Nilsson, J.-Å., Nilsson, J.F., Cláudia Norte, A., van Oers, K., Orell, M., Potti, J., Quinn, J.L., Réale, D., Kristin Reiertsen, T., Rosivall, B., Russell, A.F., Rytkönen, S., Sánchez-Virosta, P., Santos, E.S.A., Schroeder, J., Senar, J.C., Seress, G., Slagsvold, T., Szulkin, M., Teplitsky, C., Tilgar, V., Tolstoguzov, A., Török, J., Valcu, M., Vatka, E., Verhulst, S., Watson, H., Yuta, T., Zamora-Marín, J.M., and Visser, M.E.
Abstract: The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database (www.spibirds.org)—a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such
Published: 2021

2. Connecting the data landscape of long-term ecological studies : The SPI-Birds data hub

Author: Culina, A., Adriaensen, F., Bailey, L.D., Burgess, M.D., Charmantier, A., Cole, E.F., Eeva, T., Matthysen, E., Nater, C.R., Sheldon, B.C., Sæther, B.-E., Vriend, S.J.G., Zajkova, Z., Adamík, P., Aplin, L.M., Angulo, E., Artemyev, A., Barba, E., Barišić, S., Belda, E., Bilgin, C.C., Bleu, J., Both, C., Bouwhuis, S., Branston, C.J., Broggi, J., Burke, T., Bushuev, A., Camacho, C., Campobello, D., Canal, D., Cantarero, A., Caro, S.P., Cauchoix, M., Chaine, A., Cichoń, M., Ćiković, D., Cusimano, C.A., Deimel, C., Dhondt, A.A., Dingemanse, N.J., Doligez, B., Dominoni, D.M., Doutrelant, C., Drobniak, S.M., Dubiec, A., Eens, M., Einar Erikstad, K., Espín, S., Farine, D.R., Figuerola, J., Kavak Gülbeyaz, P., Grégoire, A., Hartley, I.R., Hau, M., Hegyi, G., Hille, S., Hinde, C.A., Holtmann, B., Ilyina, T., Isaksson, C., Iserbyt, A., Ivankina, E., Kania, W., Kempenaers, B., Kerimov, A., Komdeur, J., Korsten, P., Král, M., Krist, M., Lambrechts, M., Lara, C.E., Leivits, A., Liker, A., Lodjak, J., Mägi, M., Mainwaring, M.C., Mänd, R., Massa, B., Massemin, S., Martínez-Padilla, J., Mazgajski, T.D., Mennerat, A., Moreno, J., Mouchet, A., Nakagawa, S., Nilsson, J.-Å., Nilsson, J.F., Cláudia Norte, A., van Oers, K., Orell, M., Potti, J., Quinn, J.L., Réale, D., Kristin Reiertsen, T., Rosivall, B., Russell, A.F., Rytkönen, S., Sánchez-Virosta, P., Santos, E.S.A., Schroeder, J., Senar, J.C., Seress, G., Slagsvold, T., Szulkin, M., Teplitsky, C., Tilgar, V., Tolstoguzov, A., Török, J., Valcu, M., Vatka, E., Verhulst, S., Watson, H., Yuta, T., Zamora-Marín, J.M., Visser, M.E., Culina, A., Adriaensen, F., Bailey, L.D., Burgess, M.D., Charmantier, A., Cole, E.F., Eeva, T., Matthysen, E., Nater, C.R., Sheldon, B.C., Sæther, B.-E., Vriend, S.J.G., Zajkova, Z., Adamík, P., Aplin, L.M., Angulo, E., Artemyev, A., Barba, E., Barišić, S., Belda, E., Bilgin, C.C., Bleu, J., Both, C., Bouwhuis, S., Branston, C.J., Broggi, J., Burke, T., Bushuev, A., Camacho, C., Campobello, D., Canal, D., Cantarero, A., Caro, S.P., Cauchoix, M., Chaine, A., Cichoń, M., Ćiković, D., Cusimano, C.A., Deimel, C., Dhondt, A.A., Dingemanse, N.J., Doligez, B., Dominoni, D.M., Doutrelant, C., Drobniak, S.M., Dubiec, A., Eens, M., Einar Erikstad, K., Espín, S., Farine, D.R., Figuerola, J., Kavak Gülbeyaz, P., Grégoire, A., Hartley, I.R., Hau, M., Hegyi, G., Hille, S., Hinde, C.A., Holtmann, B., Ilyina, T., Isaksson, C., Iserbyt, A., Ivankina, E., Kania, W., Kempenaers, B., Kerimov, A., Komdeur, J., Korsten, P., Král, M., Krist, M., Lambrechts, M., Lara, C.E., Leivits, A., Liker, A., Lodjak, J., Mägi, M., Mainwaring, M.C., Mänd, R., Massa, B., Massemin, S., Martínez-Padilla, J., Mazgajski, T.D., Mennerat, A., Moreno, J., Mouchet, A., Nakagawa, S., Nilsson, J.-Å., Nilsson, J.F., Cláudia Norte, A., van Oers, K., Orell, M., Potti, J., Quinn, J.L., Réale, D., Kristin Reiertsen, T., Rosivall, B., Russell, A.F., Rytkönen, S., Sánchez-Virosta, P., Santos, E.S.A., Schroeder, J., Senar, J.C., Seress, G., Slagsvold, T., Szulkin, M., Teplitsky, C., Tilgar, V., Tolstoguzov, A., Török, J., Valcu, M., Vatka, E., Verhulst, S., Watson, H., Yuta, T., Zamora-Marín, J.M., and Visser, M.E.
Abstract: The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and ecological processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change). To solve data integration issues and enable a new scale of ecological and evolutionary research based on long-term studies of birds, we have created the SPI-Birds Network and Database (www.spibirds.org)—a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting. SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collaboration and synthesis. We provide community-derived data and meta-data standards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata languages (e.g. ecological meta-data language). The encouraging community involvement stems from SPI-Bird's decentralized approach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such
Published: 2021

3. A Simple Web-Based Tool to Compare Freshwater Fish Data Collected Using AFS Standard Methods

Author: Yuta T. Torrey, Matt Rahr, Averill Cate, Norman Mercado-Silva, and Scott A. Bonar
Subjects: education.field_of_study, SIMPLE (military communications protocol), biology, Ecology, business.industry, Population, Sampling (statistics), Aquatic Science, Catch per unit effort, Standard methods, biology.organism_classification, Fishery, Geography, Ecoregion, Freshwater fish, Web application, education, business, Nature and Landscape Conservation
Abstract: The American Fisheries Society (AFS) recently published Standard Methods for Sampling North American Freshwater Fishes. Enlisting the expertise of 284 scientists from 107 organizations throughout Canada, Mexico, and the United States, this text was developed to facilitate comparisons of fish data across regions or time. Here we describe a user-friendly web tool that automates among-sample comparisons in individual fish condition, population length-frequency distributions, and catch per unit effort (CPUE) data collected using AFS standard methods. Currently, the web tool (1) provides instantaneous summaries of almost 4,000 data sets of condition, length frequency, and CPUE of common freshwater fishes collected using standard gears in 43 states and provinces; (2) is easily appended with new standardized field data to update subsequent queries and summaries; (3) compares fish data from a particular water body with continent, ecoregion, and state data summaries; and (4) provides additional information about A...
Published: 2015
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4. A Simple Web-Based Tool to Compare Freshwater Fish Data Collected Using AFS Standard Methods

Author: Bonar, Scott A., primary, Mercado-Silva, Norman, additional, Rahr, Matt, additional, Torrey, Yuta T., additional, and Cate, Averill, additional
Published: 2015
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5. Dynamic models of ARDS lung mechanics for optimal patient ventilation.

Author: Yuta, T., Chase, J.G., Shaw, G.M., and Hann, C.
Published: 2004
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6. Development of a Fine Ceramic Heart Valve for Use as a Cardiac Prosthesis

Author: Mitamura, Y., Mikami, T., Yuta, T., Takeo Matsumoto, Shimooka, T., Okamoto, E., Eizuka, N., and Yamaguchi, K.
Subjects: Ceramics, Sheep, Heart Valve Prosthesis, Materials Testing, Biophysics, Animals, Venae Cavae
Published: 1986
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7. Dynamic models of ARDS lung mechanics for optimal patient ventilation

Author: Yuta, T., primary, Chase, J.G., additional, Shaw, G.M., additional, and Hann, C., additional
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8. Connecting the data landscape of long-term ecological studies: the SPI-Birds data hub

Author: Tomasz D. Mazgajski, Jesús Martínez-Padilla, Gábor Seress, Miloš Krist, Davide M. Dominoni, Peter Adamík, Camillo Cusimano, Juli Broggi, Zuzana Zajková, Ana Cláudia Norte, Samuel P. Caro, Pınar Kavak Gülbeyaz, Erik Matthysen, Arnaud Grégoire, Marcel M. Lambrechts, Vallo Tilgar, Sabine Marlene Hille, Kees van Oers, Chloé R. Nater, Markku Orell, Alexandr Artemyev, Szymon M. Drobniak, Julia Schroeder, Hannah Watson, Claire Doutrelant, Tone Kristin Reiertsen, Eduardo J. Belda, Carlos E. Lara, Jaime Potti, Antica Culina, Caroline Deimel, C. Can Bilgin, Kjell Einar Erikstad, Terry Burke, Seppo Rytkönen, Liam D. Bailey, Miroslav Král, José M. Zamora-Marín, Marko Mägi, T.A. Ilyina, A.V. Bushuev, Andrew F. Russell, Malcolm D. Burgess, John L. Quinn, Jan-Åke Nilsson, André A. Dhondt, Peter Korsten, Denis Réale, Josefa Bleu, Caroline Isaksson, Jaanis Lodjak, Sandra Bouwhuis, Bruno Massa, Mark C. Mainwaring, David Canal, Eduardo S. A. Santos, Sylvie Massemin, Tore Slagsvold, Emma Vatka, Alexia Mouchet, Elena Angulo, Juan Moreno, Alexis S. Chaine, Jan Komdeur, Raivo Mänd, Claire J. Branston, Adèle Mennerat, Stefan J. G. Vriend, Wojciech Kania, Davor Ćiković, Anne Charmantier, Maxime Cauchoix, E.V. Ivankina, Juan Carlos Senar, Shinichi Nakagawa, Agu Leivits, Andrey Tolstoguzov, Blandine Doligez, Ben C. Sheldon, Mariusz Cichoń, Gergely Hegyi, Teru Yuta, Benedikt Holtmann, Ella F. Cole, Céline Teplitsky, Marcel E. Visser, Johan Nilsson, Alejandro Cantarero, Jordi Figuerola, Sanja Barišić, Marta Szulkin, Simon Verhulst, Silvia Espín, Arne Iserbyt, Emilio Barba, Bart Kempenaers, Damien R. Farine, Pablo Sánchez-Virosta, Tapio Eeva, Anvar Kerimov, Niels Jeroen Dingemanse, Anna Dubiec, Christiaan Both, Daniela Campobello, Mihai Valcu, Bernt-Erik Sæther, Marcel Eens, Michaela Hau, Ian R. Hartley, Lucy M. Aplin, Frank Adriaensen, János Török, Balázs Rosivall, Carlos Camacho, Camilla A. Hinde, András Liker, Dutch Research Council, Research Council of Norway, Organismal and Evolutionary Biology Research Programme, Culina A., Adriaensen F., Bailey L.D., Burgess M.D., Charmantier A., Cole E.F., Eeva T., Matthysen E., Nater C.R., Sheldon B.C., Saether B.-E., Vriend S.J.G., Zajkova Z., Adamik P., Aplin L.M., Angulo E., Artemyev A., Barba E., Barisic S., Belda E., Bilgin C.C., Bleu J., Both C., Bouwhuis S., Branston C.J., Broggi J., Burke T., Bushuev A., Camacho C., Campobello D., Canal D., Cantarero A., Caro S.P., Cauchoix M., Chaine A., Cichon M., Cikovic D., Cusimano C.A., Deimel C., Dhondt A.A., Dingemanse N.J., Doligez B., Dominoni D.M., Doutrelant C., Drobniak S.M., Dubiec A., Eens M., Einar Erikstad K., Espin S., Farine D.R., Figuerola J., Kavak Gulbeyaz P., Gregoire A., Hartley I.R., Hau M., Hegyi G., Hille S., Hinde C.A., Holtmann B., Ilyina T., Isaksson C., Iserbyt A., Ivankina E., Kania W., Kempenaers B., Kerimov A., Komdeur J., Korsten P., Kral M., Krist M., Lambrechts M., Lara C.E., Leivits A., Liker A., Lodjak J., Magi M., Mainwaring M.C., Mand R., Massa B., Massemin S., Martinez-Padilla J., Mazgajski T.D., Mennerat A., Moreno J., Mouchet A., Nakagawa S., Nilsson J.-A., Nilsson J.F., Claudia Norte A., van Oers K., Orell M., Potti J., Quinn J.L., Reale D., Kristin Reiertsen T., Rosivall B., Russell A.F., Rytkonen S., Sanchez-Virosta P., Santos E.S.A., Schroeder J., Senar J.C., Seress G., Slagsvold T., Szulkin M., Teplitsky C., Tilgar V., Tolstoguzov A., Torok J., Valcu M., Vatka E., Verhulst S., Watson H., Yuta T., Zamora-Marin J.M., Visser M.E., WildCRU, University of Oxford [Oxford], University of Antwerp (UA), Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), University of Turku, Department of Evolutionary Biology and Environmental Studies, University of Zurich, Edward Grey Institute, Department of Zoology, University of Oxford, Département Ecologie, Physiologie et Ethologie (DEPE-IPHC), Institut Pluridisciplinaire Hubert Curien (IPHC), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Station d'écologie théorique et expérimentale (SETE), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD), OpenMETU, Both group, Komdeur lab, Verhulst lab, and Animal Ecology (AnE)
Subjects: SELECTION, 0106 biological sciences, ZOOLOGIA, Databases, Factual, 05 Environmental Sciences, Zoology and botany: 480 [VDP], Research network, 01 natural sciences, long‐term studies, Behavioral Ecology, Data standards, meta‐data standards, Data hub, ComputingMilieux_MISCELLANEOUS, Research Articles, meta‐, PERSONALITY, CLIMATE-CHANGE, Ecology, Environmental resource management, ALTER, meta&#8208, birds, data standards, database, FAIR data, long-term studies, meta-data standards, research network, PE&RC, Gedragsecologie, Chemistry, Geography, international, [SDE]Environmental Sciences, 1181 Ecology, evolutionary biology, POPULATIONS, Plan_S-Compliant_OA, Life Sciences & Biomedicine, long‐, Research Article, CLUTCH-SIZE, Long-term studies, Environmental Sciences & Ecology, Animal Breeding and Genomics, Zoologi, 15.- Proteger, restaurar y promover la utilización sostenible de los ecosistemas terrestres, gestionar de manera sostenible los bosques, combatir la desertificación y detener y revertir la degradación de la tierra, y frenar la pérdida de diversidad biológica, 010603 evolutionary biology, Birds, Database, 07 Agricultural and Veterinary Sciences, ddc:570, VDP::Mathematics and natural scienses: 400::Zoology and botany: 480, Animals, Fokkerij en Genomica, Zoologiske og botaniske fag: 480 [VDP], Biology, Ecology, Evolution, Behavior and Systematics, Meta-data standards, Metadata, FAIR data, Science & Technology, long&#8208, business.industry, 010604 marine biology & hydrobiology, 06 Biological Sciences, 15. Life on land, database, meta-data standards, long-term studies, birds, data standards, research network, EVOLUTION, Term (time), 13. Climate action, Research council, VDP::Matematikk og naturvitenskap: 400::Zoologiske og botaniske fag: 480, Animal Science and Zoology, term studies, GREAT TITS, business, Zoology, RESPONSES
Abstract: The integration and synthesis of the data in different areas of science is drastically slowed and hindered by a lack of standards and networking programmes. Long-term studies of individually marked animals are not an exception. These studies are especially important as instrumental for understanding evolutionary and eco-logical processes in the wild. Furthermore, their number and global distribution provides a unique opportunity to assess the generality of patterns and to address broad-scale global issues (e.g. climate change)., To solve data integration issues and enable a new scale of ecological and evolution-ary research based on long-term studies of birds, we have created the SPI-Birds Network and Database (www.spibirds.org)—a large-scale initiative that connects data from, and researchers working on, studies of wild populations of individually recognizable (usually ringed) birds. Within year and a half since the establishment, SPI-Birds has recruited over 120 members, and currently hosts data on almost 1.5 million individual birds collected in 80 populations over 2,000 cumulative years, and counting., SPI-Birds acts as a data hub and a catalogue of studied populations. It prevents data loss, secures easy data finding, use and integration and thus facilitates collab-oration and synthesis. We provide community-derived data and meta-data stand-ards and improve data integrity guided by the principles of Findable, Accessible, Interoperable and Reusable (FAIR), and aligned with the existing metadata lan-guages (e.g. ecological meta-data language)., The encouraging community involvement stems from SPI-Bird's decentralized ap-proach: research groups retain full control over data use and their way of data management, while SPI-Birds creates tailored pipelines to convert each unique data format into a standard format. We outline the lessons learned, so that other communities (e.g. those working on other taxa) can adapt our successful model. Creating community-specific hubs (such as ours, COMADRE for animal demogra-phy, etc.) will aid much-needed large-scale ecological data integration., The SPI-Birds have been supported by an NWO personal grant (grant number 016.Veni.181.054) to A.C., and a Research Council of Norway grant: 223257 (SFF-III) and 267511 (EVOCLIM).
Published: 2020
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9. Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

Author: Sirunyan, A. M., Tumasyan, A., Adam, W., Ambrogi, F., Asilar, E., Bergauer, T., Brandstetter, J., Dragicevic, M., Eroe, J., Del Valle, A. Escalante, Flechl, M., Fruehwirth, R., Ghete, V. M., Hrubec, J., Jeitler, M., Krammer, N., Kraetschmer, I., Liko, D., Madlener, T., Mikulec, I., Rad, N., Rohringer, H., Schieck, J., Schoefbeck, R., Spanring, M., Spitzbart, D., Taurok, A., Waltenberger, W., Wittmann, J., Wulz, C. -E., Zarucki, M., Chekhovsky, V., Mossolov, V., Gonzalez, J. Suarez, De Wolf, E. A., Di Croce, D., Janssen, X., Lauwers, J., Pieters, M., Van Haevermaet, H., Van Mechelen, P., Van Remortel, N., Abu Zeid, S., Blekman, F., D'Hondt, J., De Bruyn, I., De Clercq, J., Deroover, K., Flouris, G., Lontkovskyi, D., Lowette, S., Marchesini, I., Moortgat, S., Moreels, L., Python, Q., Skovpen, K., Tavernier, S., Van Doninck, W., Van Mulders, P., Van Parijs, I., Beghin, D., Bilin, B., Brun, H., Clerbaux, B., De Lentdecker, G., Delannoy, H., Dorney, B., Fasanella, G., Favart, L., Goldouzian, R., Grebenyuk, A., Kalsi, A. K., Lenzi, T., Luetic, J., Postiau, N., Starling, E., Thomas, L., Vander Velde, C., Vanlaer, P., Vannerom, D., Wang, Q., Cornelis, T., Dobur, D., Fagot, A., Gul, M., Khvastunov, I., Poyraz, D., Roskas, C., Trocino, D., Tytgat, M., Verbeke, W., Vermassen, B., Vit, M., Zaganidis, N., Bakhshiansohi, H., Bondu, S., Brochet, S., Bruno, G., Caputo, C., David, P., Delaere, C., Delcourt, M., Francois, B., Giammanco, A., Krintiras, G., Lemaitre, V., Magitteri, A., Mertens, A., Musich, M., Piotrzkowski, K., Saggio, A., Marono, M. Vidal, Wertz, S., Zobec, J., Alves, F. L., Alves, G. A., Correa, Martins, M. Jr., Correia Silva, G., Hensel, C., Moraes, A., Pol, M. E., Rebello Teles, P., Belchior Batista Das Chagas, E., Carvalho, W., Chinellato, J., Coelho, E., Da Costa, E. M., Da Silveira, G. G., De Jesus Damiao, D., De Oliveira Martins, C., Fonseca De Souza, S., Malbouisson, H., Matos Figueiredo, D., Melo De Almeida, M., Mora Herrera, C., Mundim, L., Nogima, H., Prado Da Silva, W. L., Sanchez Rosas, L. J., Santoro, A., Sznajder, A., Thiel, M., Tonelli Manganote, E. J., Torres Da Silva De Araujo, F., Vilela Pereira, A., Ahuja, S., Bernardes, C. A., Calligaris, L., Fernandez Perez Tomei, T. R., Gregores, E. M., Mercadante, P. G., Novaes, S. F., Padula, Sandras., Aleksandrov, A., Hadjiiska, R., Iaydjiev, P., Marinov, A., Misheva, M., Rodozov, M., Shopova, M., Sultanov, G., Dimitrov, A., Litov, L., Pavlov, B., Petkov, P., Fang, W., Gao, X., Yuan, L., Ahmad, M., Bian, J. G., Chen, G. M., Chen, H. S., Chen, M., Chen, Y., Jiang, C. H., Leggat, D., Liao, H., Liu, Z., Romeo, F., Shaheen, S. M., Spiezia, A., Tao, J., Wang, Z., Yazgan, E., Zhang, H., Zhang, S., Zhao, J., Ban, Y., Chen, G., Levin, A., Li, J., Li, L., Li, Q., Mao, Y., Qian, S. J., Wang, D., Xu, Z., Wang, Y., Avila, C., Cabrera, A., Carrillo Montoya, C. A., Chaparro Sierra, L. F., Florez, C., Gonzalez Hernandez, C. F., Segura Delgado, M. A., Courbon, B., Godinovic, N., Lelas, D., Puljak, I., Sculac, T., Antunovic, Z., Kovac, M., Brigljevic, V., Ferencek, D., Kadija, K., Mesic, B., Starodumov, A., Susa, T., Ather, M. W., Attikis, A., Kolosova, M., Mavromanolakis, G., Mousa, J., Nicolaou, C., Ptochos, F., Razis, P. A., Rykaczewski, H., Finger, M., J, R., Ayala, E., Carrera Jarrin, E., Mahrous, A., Mohamed, A., Salama, E., Bhowmik, S., De Oliveira, A. Carvalho Antunes, Dewanjee, R. K., Ehataht, K., Kadastik, M., Raidal, M., Veelken, C., Eerola, P., Kirschenmann, H., Pekkanen, J., Voutilainen, M., Havukainen, J., Heikkila, J. K., Jarvinen, T., Karimaki, V., Kinnunen, R., Lampen, T., Lassila-Perini, K., Laurila, S., Lehti, S., Linden, T., Luukka, P., Maenpaa, T., Siikonen, H., Tuominen, E., Tuominiemi, J., Tuuva, T., Besancon, M., Couderc, F., Dejardin, M., Denegri, D., Faure, J. L., Ferri, F., Ganjour, S., Givernaud, A., Gras, P., de Monchenault, G. Hamel, Jarry, P., Leloup, C., Locci, E., Malcles, J., Negro, G., Rander, J., Rosowsky, A., Sahin, M. O., Titov, M., Abdulsalam, A., Amendola, C., Antropov, I., Beaudette, F., Busson, P., Charlot, C., de Cassagnac, R. Granier, Kucher, I., Lobanov, A., Blanco, J. Martin, Nguyen, M., Ochando, C., Ortona, G., Paganini, P., Pigard, P., Rembser, J., Salerno, R., Sauvan, J. B., Sirois, Y., Leiton, A. G. Stahl, Zabi, A., Zghiche, A., Agram, J. -L., Andrea, J., Bloch, D., Brom, J. -M., Chabert, E. C., Cherepanov, V., Collard, C., Conte, E., Fontaine, J. -C., Gele, D., Goerlach, U., Jansova, M., Le Bihan, A. -C., Tonon, N., Van Hove, P., Gadrat, S., Beauceron, S., Bernet, C., Boudoul, G., Chanon, N., Chierici, R., Contardo, D., Depasse, P., El Mamouni, H., Fay, J., Finco, L., Gascon, S., Gouzevitch, M., Grenier, G., Ille, B., Lagarde, F., Laktineh, I. B., Lattaud, H., Lethuillier, M., Mirabito, L., Perries, S., Popov, A., Sordini, V., Touquet, G., Vander Donckt, M., Viret, S., Toriashvili, T., Tsamalaidze, Z., Autermann, C., Feld, L., Kiesel, M. K., Klein, K., Lipinski, M., Preuten, M., Rauch, M. P., Schomakers, C., Schulz, J., Teroerde, M., Wittmer, B., Zhukov, V., Albert, A., Duchardt, D., Endres, M., Erdmann, M., Ghosh, S., Gueth, A., Hebbeker, T., Heidemann, C., Hoepfner, K., Keller, H., Mastrolorenzo, L., Merschmeyer, M., Meyer, A., Millet, P., Mukherjee, S., Pook, T., Radziej, M., Reithler, H., Rieger, M., Schmidt, A., Teyssier, D., Fluegge, G., Hlushchenko, O., Kress, T., Kuensken, A., Mueller, T., Nehrkorn, A., Nowack, A., Pistone, C., Pooth, O., Roy, D., Sert, H., Stahl, A., Martin, M. Aldaya, Arndt, T., Asawatangtrakuldee, C., Babounikau, I., Beernaert, K., Behnke, O., Behrens, U., Martinez, A. Bermudez, Bertsche, D., Bin Anuar, A. A., Borras, K., Botta, V., Campbell, A., Connor, P., Contreras-Campana, C., Costanza, F., Danilov, V., De Wit, A., Defranchis, M. M., Pardos, C. Diez, Damiani, D. Dominguez, Eckerlin, G., Eichhorn, T., Elwood, A., Eren, E., Gallo, E., Geiser, A., Luyando, J. M. Grados, Grohsjean, A., Guthoff, M., Haranko, M., Harb, A., Hauk, J., Jung, H., Kasemann, M., Keaveney, J., Kleinwort, C., Knolle, J., Kruecker, D., Lange, W., Lelek, A., Lenz, T., Lipka, K., Lohmann, W., Mankel, R., Melzer-Pellmann, I. -A., Meyer, A. B., Meyer, M., Missiroli, M., Mittag, G., Mnich, J., Myronenko, V., Pflitsch, S. K., Pitzl, D., Raspereza, A., Savitskyi, M., Saxena, P., Schuetze, P., Schwanenberger, C., Shevchenko, R., Singh, A., Tholen, H., Turkot, O., Vagnerini, A., Van Onsem, G. P., Walsh, R., Wen, Y., Wichmann, K., Wissing, C., Zenaiev, O., Aggleton, R., Bein, S., Benato, L., Benecke, A., Blobel, V., Dreyer, T., Garutti, E., Gonzalez, D., Gunnellini, P., Haller, J., Hinzmann, A., Karavdina, A., Kasieczka, G., Klanner, R., Kogler, R., Kovalchuk, N., Kurz, S., Kutzner, V., Lange, J., Marconi, D., Multhaup, J., Niedziela, M., Niemeyer, C. E. N., Nowatschin, D., Perieanu, A., Reimers, A., Rieger, O., Scharf, C., Schleper, P., Schumann, S., Schwandt, J., Sonneveld, J., Stadie, H., Steinbrueck, G., Stober, F. M., Stoever, M., Vanhoefer, A., Vormwald, B., Zoi, I., Akbiyik, M., Barth, C., Baselga, M., Baur, S., Butz, E., Caspart, R., Chwalek, T., Colombo, F., De Boer, W., Dierlamm, A., El Morabit, K., Faltermann, N., Freund, B., Giffels, M., Harrendorf, M. A., Hartmann, F., Heindl, S. M., Husemann, U., Kassel, F., Katkov, I., Kudella, S., Mildner, H., Mitra, S., Mozer, M. U., Mueller, Th., Plagge, M., Quast, G., Rabbertz, K., Schroeder, M., Shvetsov, I., Sieber, G., Simonis, H. J., Ulrich, R., Wayand, S., Weber, M., Weiler, T., Williamson, S., Woehrmann, C., Wolf, R., Anagnostou, G., Daskalakis, G., Geralis, T., Kyriakis, A., Loukas, D., Paspalaki, G., Topsis-Giotis, I., Karathanasis, G., Kesisoglou, S., Kontaxakis, P., Panagiotou, A., Papavergou, I., Saoulidou, N., Tziaferi, E., Vellidis, K., Kousouris, K., Papakrivopoulos, I., Tsipolitis, G., Evangelou, I., Foudas, C., Gianneios, P., Katsoulis, P., Kokkas, P., Mallios, S., Manthos, N., Papadopoulos, I., Paradas, E., Strologas, J., Triantis, F. A., Tsitsonis, D., Bartok, M., Csanad, M., Filipovic, N., Major, P., Nagy, M. I., Pasztor, G., Suranyi, O., Veres, G. I., Bencze, G., Hajdu, C., Horvath, D., Hunyadi, A., Sikler, F., Vami, T. A., Veszpremi, V., Vesztergombi, G., Beni, N., Czellar, S., Karancsi, J., Makovec, A., Molnar, J., Szillasi, Z., Raics, P., Trocsanyi, Z. L., Ujvari, B., Choudhury, S., Komaragiri, J. R., Tiwari, P. C., Bahinipati, S., Kar, C., Mal, P., Mandal, K., Nayak, A., Sahoo, D. K., Swain, S. K., Bansal, S., Beri, S. B., Bhatnagar, V., Chauhan, S., Chawla, R., Dhingra, N., Gupta, R., Kaur, A., Kaur, M., Kaur, S., Kumar, R., Kumari, P., Lohan, M., Mehta, A., Sandeep, K., Sharma, S., Singh, J. B., Virdi, A. K., Walia, G., Bhardwaj, A., Choudhary, B. C., Garg, R. B., Gola, M., Keshri, S., Kumar, Ashok, Malhotra, S., Naimuddin, M., Priyanka, P., Ranjan, K., Shah, Aashaq, Sharma, R., Bhardwaj, R., Bharti, M., Bhattacharya, R., Bhattacharya, S., Bhawandeep, U., Bhowmik, D., Dey, S., Dutt, S., Dutta, S., Mondal, K., Nandan, S., Purohit, A., Rout, P. K., Roy, A., Chowdhury, S. Roy, Saha, G., Sarkar, S., Sharan, M., Singh, B., Thakur, S., Behera, P. K., Chudasama, R., Dutta, D., Jha, V., Kumar, V., Netrakanti, P. K., Pant, L. M., Shukla, P., Aziz, T., Bhat, M. A., Dugad, S., Mohanty, G. B., Sur, N., Sutar, B., Verma, Ravindrakumar, Banerjee, S., Chatterjee, S., Das, P., Guchait, M., Jain, Sa., Karmakar, S., Kumar, S., Maity, M., Majumder, G., Mazumdar, K., Sahoo, N., Sarkar, T., Dube, S., Hegde, V., Kapoor, A., Kothekar, K., Pandey, S., Rane, A., Chenarani, S., Tadavani, E. Eskandari, Etesami, S. M., Khakzad, M., Najafabadi, M. Mohammadi, Naseri, M., Hosseinabadi, F. Rezaei, Safarzadeh, B., Zeinali, M., Felcini, M., Grunewald, M., Abbrescia, M., Calabria, C., Colaleo, A., Creanza, D., Cristella, L., De Filippis, N., De Palma, M., Di Florio, A., Errico, F., Fiore, L., Gelmi, A., Iaseili, G., Ince, M., Lezki, S., Maggi, G., Maggi, M., Miniello, G., My, S., Nuzzo, S., Pompili, A., Pughese, G., Radogna, R., Ranieri, A., Selvaggi, G., Sharma, A., Silvestris, L., Venditti, R., Verwilligen, P., Zito, G., Abbiendi, G., Battilana, C., Bonacorsi, D., Borgonovi, L., Braibant-Giacomelli, S., Campanini, R., Capiluppi, P., Castro, A., Cavallo, F. R., Chhibra, S. S., Ciocca, C., Codispoti, G., Cuffiani, M., Dallavalle, G. M., Fabbri, F., Fanfani, A., Giacomelli, P., Grandi, C., Guiducci, L., Lo Meo, S., Marcellini, S., Masetti, G., Montanari, A., Navarria, F. L., Perrotta, A., Primavera, F., Rossi, A. M., Rovelli, T., Siroli, G. P., Tosi, N., Albergo, S., Di Mattia, A., Potenza, R., Tricomi, A., Tuve, C., Barbagli, G., Chatterjee, K., Ciulli, V., Civinini, C., D'Alessandro, R., Focardi, E., Latino, G., Lenzi, P., Meschini, M., Paoletti, S., Russo, L., Sguazzoni, G., Strom, D., Viliani, L., Benussi, L., Bianco, S., Piccolo, D., Ferro, F., Ravera, F., Robutti, E., Tosi, S., Benaglia, A., Beschi, A., Brianza, L., Brivio, F., Ciriolo, V., Di Guida, S., Dinardo, M. E., Fiorendi, S., Gennai, S., Ghezzi, A., Govoni, P., Malberti, M., Malvezzi, S., Massironi, A., Menasce, D., Monti, F., Moroni, L., Paganoni, M., Pedrini, D., Ragazzi, S., de Fatis, T. Tabarelli, Zuolo, D., Buontempo, S., Cavallo, N., Di Crescenzo, A., Fabozzi, F., Fienga, F., Galati, G., Iorio, A. O. M., Khan, W. A., Lista, L., Meola, S., Paolucci, P., Sciacca, C., Voevodina, E., Azzi, P., Bacchetta, N., Boletti, A., Bragagnolo, A., Carlin, R., Checchia, P., Dall'Osso, M., Manzano, P. De Castro, Dorigo, T., Dosselli, U., Gasparini, F., Gasparini, U., Gozzelino, A., Hoh, S. Y., Lacaprara, S., Lujan, P., Margoni, M., Meneguzzo, A. T., Passaseo, M., Pazzini, J., Pozzobon, N., Ronchese, P., Rossin, R., Simonetto, F., Tiko, A., Torassa, E., Zanetti, M., Zotto, P., Braghieri, A., Magnani, A., Montagna, P., Ratti, S. P., Re, V., Ressegotti, M., Riccardi, C., Salvini, P., Vai, I., Vitulo, P., Biasini, M., Bilei, G. M., Cecchi, C., Ciangottini, D., Fano, L., Lariccia, P., Leonardi, R., Manoni, E., Mantovani, G., Mariani, V., Menichelli, M., Rossi, A., Santocchia, A., Spiga, D., Androsov, K., Azzurri, P., Bagliesi, G., Bianchini, L., Boccali, T., Borrello, L., Castaldi, R., Ciocci, M. A., Dell'Orso, R., Fedi, G., Fiori, F., Giannini, L., Giassi, A., Grippo, M. T., Ligabue, F., Manca, E., Mandorli, G., Messineo, A., Palla, F., Rizzi, A., Spagnolo, P., Tenchini, R., Tonelli, G., Venturi, A., Verdini, P. G., Barone, L., Cavallari, F., Cipriani, M., Del Re, D., Di Marco, E., Diemoz, M., Gelli, S., Longo, E., Marzocchi, B., Meridiani, P., Organtini, G., Pandolfi, F., Paramatti, R., Preiato, F., Rahatlou, S., Rovelli, C., Santanastasio, F., Amapane, N., Arcidiacono, R., Argiro, S., Arneodo, M., Bartosik, N., Bellan, R., Biino, C., Cartiglia, N., Cenna, F., Cometti, S., Costa, M., Covarelli, R., Demari, N., Kiani, B., Mariotti, C., Maselli, S., Migliore, E., Monaco, V., Monteil, E., Monteno, M., Obertino, M. M., Pacher, L., Pastrone, N., Pelliccioni, M., Angioni, G. L. Pinna, Romero, A., Ruspa, M., Sacchi, R., Shchelina, K., Sola, V., Solano, A., Soldi, D., Staiano, A., Belforte, S., Candelise, V., Casarsa, M., Cossutti, F., Da Rold, A., Della Ricca, G., Vazzoler, F., Zanetti, A., Kim, D. H., Kim, G. N., Kim, M. S., Lee, J., Lee, S., Lee, S. W., Moon, C. S., Y. D., Oh, Sekmen, S., Son, D. C., Yang, Y. C., Kim, H., Moon, D. H., Oh, G., Goh, J., Kim, T. J., Cho, S., Choi, S., Go, Y., Gyun, D., Ha, S., Hong, B., Jo, Y., Lee, K., Lee, K. S., Lim, J., Park, S. K., Roh, Y., Kim, H. S., Almond, J., Kim, J., Kim, J. S., Lee, H., Nam, K., S. B., Oh, Radburn-Smith, B. C., Seo, S. H., Yang, U. K., Yoo, H. D., G. B., Yu, Jeon, D., Kim, J. H., Lee, J. S. H., Park, I. C., Choi, Y., Hwang, C., Yu, I., Dudenas, V., Juodagalvis, A., Vaitkus, J., Ahmed, I., Ibrahim, Z. A., Ali, M. A. B. Md, Idris, F. Mohamad, Abdullah, W. A. T. Wan, Yusli, M. N., Zolkapli, Z., Benitez, J. F., Castaneda Hernandez, A., Murillo Quijada, J. A., Castilla-Valdez, H., De la Cruz-Burelo, E., Duran-Osuna, M. C., Heredia-De la Cruz, I., Lopez-fernandez, R., Mejia Guisao, J., Rabadan-Trejo, R. I., Ramirez-Garcia, M., Ramirez-Sanchez, G., Reyes-Almanza, R., Sanchez-Hernandez, A., Carrillo Moreno, S., Oropeza Barrera, C., Vazquez Valencia, F., Eysermans, J., Pedraza, I., Salazar Ibarguen, H. A., Uribe Estrada, C., Morelos Pineda, A., Krofcheck, D., Bheesette, S., Butler, P. H., Ahmad, A., Asghar, M. I., Hassan, Q., Hoorani, H. R., Saddique, A., Shah, M. A., Shoaib, M., Waqas, M., Bialkowska, H., Bluj, M., Boimska, B., Frueboes, T., Gorski, M., Kazana, M., Nawrocki, K., Szleper, M., Traczyk, P., Zalewski, P., Bunkowski, K., Byszuk, A., Doroba, K., Kalinowski, A., Konecki, M., Krolikowski, J., Misiura, M., Olszewski, M., Pyskir, A., Walczak, M., Araujo, M., Bargassa, P., Beira Da Cruz E Silva, C., Di Francesco, A., Faccioli, P., Galinhas, B., Gallinaro, M., Hollar, J., Leonardo, N., Nemallapudi, M. V., Seixas, J., Strong, G., Toldaiev, O., Vadruccio, D., Varela, J., Afanasiev, S., Bunin, P., Gavrilenko, M., Golutvin, I., Gorbunov, I., Kamenev, A., Karjavine, V., Laney, A., Malakhov, A., Matveev, V., Moisenz, P., Palichik, V., Perelygin, V., Shmatov, S., Shulha, S., Skatchkov, N., Smirnov, V., Voytishin, N., Zarubin, A., Golovtsov, V., Ivanov, Y., Kim, V., Kuznetsova, E., Levchenko, P., Murzin, V., Oreshkin, V., Smirnov, I., Sosnov, D., Sulimov, V., Uvarov, L., Vavilov, S., Vorobyev, A., Andreev, Yu., Dermenev, A., Gninenko, S., Golubev, N., Karneyeu, A., Kirsanov, M., Krasnikov, N., Pashenkov, A., Tlisov, D., Toropin, A., Epshteyn, V., Gavrilov, V., Lychkovskaya, N., Popov, V., Pozdnyakov, I., Safronov, G., Spiridonov, A., Stepennov, A., Stolin, V., Toms, M., Vlasov, E., Zhokin, A., Aushev, T., Chadeeva, M., Parygin, P., Philippov, D., Polikarpov, S., Popova, E., Rusinov, V., Andreev, V., Azarkin, M., Dremin, I., Kirakosyan, M., Rusakov, S. V., Terkulov, A., Baskakov, A., Belyaev, A., Boos, E., Dubinin, M., Dudko, L., Ershov, A., Gribushin, A., Kaminskiy, A., Klyukhin, V., Kodolova, O., Lokhtin, I., Miagkov, I., Obraztsov, S., Petrushanko, S., Savrin, V., Barnyakov, A., Blinov, V., Dimova, T., Kardapoltsev, L., Skovpen, Y., Azhgirey, I., Bayshev, I., Bitioukov, S., Elumakhov, D., Godizov, A., Kachanov, V., Kalinin, A., Konstantinov, D., Mandrik, P., Petrov, V., Ryutin, R., Slabospitskii, S., Sobol, A., Troshin, S., Tyurin, N., Uzunian, A., Volkov, A., Babaev, A., Baidali, S., Okhotnikov, V., Adzic, P., Cirkovic, P., Devetak, D., Dordevic, M., Milosevic, J., Alcaraz Maestre, J., Alvarez Fernandez, A., Bachiller, I., Barrio Luna, M., Brochero Cifuentes, J. A., Cerrada, M., Colino, N., De la Cruz, B., Delgado Penis, A., Fernandez Bedoya, C., Fernandez Ramos, J. P., Flix, J., Fouz, M. C., Gonzalez Lopez, O., Goy Lopez, S., Hernandez, J. M., Josa, M. 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Manuel Olmedo Negrete, Mirena Ivova Paneva, Weinan, S, Long, W, Hua, W, Stephen, W, Brent, Y, James, G, Philip, C, Sergio, C, Mark, D, Raffaele, G, Dylan, G, Bobak, H, André, H, Daniel, K, Gouranga, K, James, L, Mario, M, Dominick, O, Sanjay, P, Matteo, S, Vivek, S, Sean, S, Matevz, T, Adish, V, Steven, W, John, W, Frank, W, Avraham, Y, Giovanni Zevi Della Porta, Nick, A, Rohan, B, John, B, Matthew, C, Adam, D, Valentina, D, Manuel Franco Sevilla, Loukas, G, Ryan, H, Joe, I, Ana, O, Huilin, Q, Jeffrey, R, Indara, S, Sicheng, W, Jaehyeok, Y, Dustin, A, Adolf, B, Jay Mathew Lawhorn, Harvey, B, Thong, N, Maria, S, Jean-Roch, V, Richard, W, Xie, S, Zhicai, Z, Ren-Yuan, Z, Michael Benjamin Andrews, Thomas, F, Tanmay, M, Manfred, P, Menglei, S, Igor, V, John Perry Cumalat, William, T, Frank, J, Andrew, J, Michael, K, Emily, M, Troy, M, Rishi, P, Kevin, S, Keith, U, Stephen Robert Wagner, James, A, Jorge, C, Yangyang, C, Jennifer, C, Abhisek, D, Kevin, M, Nathan, M, Juliet Ritchie Patterson, Dan, Q, Aurelijus, R, Anders, R, Louise, S, Livia, S, Shao Min Tan, Zhengcheng, T, Julia, T, Jordan, T, Peter, W, Margaret, Z, Salavat, A, Michael, A, Maral, A, Giorgio, A, Artur, A, Aram, A, Sunanda, B, Lothar AT Bauerdick, Jeffrey, B, Pushpalatha, C, Gino, B, Kevin, B, Joel Nathan Butler, Anadi, C, Giuseppe Benedetto Cerati, Harry, C, Frank, C, Matteo, C, Javier, D, Victor Daniel Elvira, Jim, F, Zoltan, G, Erik, G, Lindsey, G, Dan, G, Stefan, G, Oliver, G, Jim, H, Satoshi, H, James, H, Zhen, H, Bodhitha, J, Sergo, J, Marvin, J, Umesh, J, Boaz, K, Matti, J, Stephan, L, Don, L, Ron, L, Miaoyuan, L, Tiehui, L, Joseph, L, Kaori, M, John Michael Marraffino, David, M, Patricia, M, Petra, M, Stephen, M, Steve, N, Vivian, O, Kevin, P, Cristian, P, Oleg, P, Gregory, R, Aurore, S, Basil, S, Aron, S, William, J, Leonard, S, Stoyan, S, James, S, Nadja, S, Lucas, T, Slawek, T, Nhan Viet Tran, Lorenzo, U, Eric Wayne Vaandering, Caterina, V, Marco, V, Richard, V, Michael, W, Hannsjoerg Artur Weber, Andrew, W, Darin, A, Paul, A, Pierluigi, B, Dimitri, B, Luca, C, Andrew, C, Richard, D, Sergei, V, Bhargav Madhusudan Joshi, Jacobo, K, Andrey, K, Kin Ho Lo, Peisen, M, Konstantin, M, Hualin, M, Guenakh, M, Daniel, R, Kun, S, Jian, W, Sean-Jiun, W, Yagya Raj Joshi, Andrew, A, Todd, A, Sharon, H, Vasken, H, Kurtis, F, Ted, K, German, M, Thomas, P, Harrison, P, Anirban, S, Catherine, S, Rachel, Y, Marc, M, Vallary, B, Marcus, H, Daniel, N, Mehdi, R, Titas, R, Francisco, Y, Mark Raymond Adams, Leonard, A, Russell Richard Betts, Richard, C, Xuan, C, Susan, D, Olga, E, Cecilia Elena Gerber, Dhanush Anil Hangal, David Jonathan Hofman, Kurt, J, Jason, K, Corrinne, M, Irving Daniel Sandoval Gonzalez, Marguerite, T, Nikos, V, Hui, W, Xiao, W, Zhenbin, W, Jingyu, Z, Mohammad, A, Burak, B, Warren, C, Kamuran, D, Süleyman, D, Reddy Pratap Gandrajula, Maksat, H, Jean-Pierre, M, Alexi, M, Anthony, M, Jane, N, Hasan, O, Yasar, O, Ferhat, O, Aldo, P, Christina, S, Emrah, T, James, W, Barry, B, Alice, C, Nicholas, E, David, F, Lei, F, Andrei, G, Wai Ting Hung, Petar, M, Ulascan, S, Morris, S, Meng, X, Can, Y, Ayman, A, Philip, B, Alice, B, James, B, James, C, Sadia, K, Anna, K, Devdatta, M, William, M, Christopher, R, Stephen, S, Erich, S, Daniel Tapia Takaki, Quan, W, Senka, D, Andrew, I, Ketino, K, Doyeong, K, Yurii, M, Dalath Rachitha Mendis, Tyler, M, Atanu, M, Abdollah, M, Lovedeep Kaur Saini, Nikoloz, S, Finn, R, Douglas, W, Drew, B, Owen, B, Sarah Catherine Eno, Yongbin, F, Charles, F, Nicholas John Hadley, Shabnam, J, Geng-Yuan, J, Richard, G, Joshua, K, Francesca, R, Young Ho Shin, Andris, S, Suresh, C, Kak, W, Brandon, A, Virginia, A, Gerry, B, Ran, B, Wit, B, Ivan Amos Cali, Mariarosaria, D, Zeynep, D, Guillelmo Gomez Ceballos, Maxim, G, Dylan, H, Miao, H, Yutaro, I, Gian Michele Innocenti, Markus, K, Dmytro, K, Yen-Jie, L, Paul David Luckey, Benedikt, M, Andrea Carlo Marini, Camelia, M, Siddharth, N, Xinmei, N, Christoph, P, Christof, R, Gunther, R, George, S, Konstanty, 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Stanley Durkin, Sean, F, Brian, F, Andrew, H, Christopher, H, Weifeng, J, Ta-Yung, L, Wuming, L, Brian, L, Howard Wells Wulsin, Stephane, C, Peter, E, Joshua, H, Samuel, H, Alexis, K, David, L, Marco Toliman Lucchini, Jingyu, L, Daniel, M, Kelvin, M, Isabel, O, James, O, Christopher, P, Pierre, P, Jakob, S, Christopher, T, Sudhir, M, Scarlet, N, Anthony, B, Virgil, E, Souvik, D, Laszlo, G, Matthew, J, Andreas Werner Jung, Ajeeta, K, Bibhuprasad, M, David Harry Miller, Norbert, N, Cheng-Chieh, P, Stefan, P, Hao, Q, Jan-Frederik, S, Jian, S, Fuqiang, W, Rui, X, Wei, X, Tongguang, C, James, D, Neeti, P, Zhenyu, C, Karl Matthew Ecklund, Sarah, F, Frank JM Geurts, Matthew, K, Wei, L, Brian Paul Padley, Jay, R, Jamal, R, Wei, S, Zhoudunming, T, James, Z, Aobo, Z, Arie, B, Pawel de Barbaro, Regina, D, Yi-ting, D, Joseph Lynn Dulemba, Colin, F, Mario, G, Aran, G, Jiyeon, H, Otto, H, Aleko, K, Ping, T, Rhys, T, Antonis, A, John Paul Chou, Yuri, G, Eva, H, Maximilian, H, Elliot, H, Steven, K, Raghav Kunnawalkam Elayavalli, Savvas, K, Amitabh, L, Roy, M, Kevin, N, Marc, O, Halil, S, Sevil, S, Steve, S, Sunil, S, Scott, T, Peter, T, Matthew, W, Andrés, G, Joseph, H, Grant, R, Stefan, S, Othmane, B, Ali, C, Mykhailo, D, Marco De Mattia, Andrea, D, Sven, D, Ricardo, E, Jason, G, Tao, H, Teruki, K, Sifu, L, Ryan, M, Alexx, P, Denis, R, Alexei, S, Nural, A, Jordan, D, DE GUIO, F, Phillip Russell Dudero, Shuichi, K, Kamal, L, Sung Won Lee, Tielige, M, Samila, M, Timo, P, Sonaina, U, Zhixing, W, Senta, G, Alfredo, G, Ravi, J, Willard, J, Andrew, M, Hong, N, Klaas, P, José David Ruiz Alvarez, Shengquan, T, Julia, V, Marta, V, Qiao, X, Michael Wayne Arenton, Patrizia, B, Bradley, C, Robert, H, Hengne, L, Christopher, N, Tutanon, S, Yanchu, W, Evan, W, Fan, X, Paul Edmund Karchin, Nabin, P, Jared, S, Prakash, T, Shawn, Z, Michael, B, Cécile, C, Duncan, C, Sridhara, D, Laura, D, Bhawna, G, Monika, G, Matthew, H, Alain, H, Usama, H, Pamela, K, Armando, L, Kenneth, L, Tyler, R, Varun, S, Nicholas, S, Wesley, H, Nathaniel, W, Lucchini, M, Department of Physics, Helsinki Institute of Physics, Institut de Recherches sur les lois Fondamentales de l'Univers (IRFU), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Paris-Saclay, Laboratoire Leprince-Ringuet (LLR), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS), Institut Pluridisciplinaire Hubert Curien (IPHC), Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA)), Centre de Calcul de l'IN2P3 (CC-IN2P3), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), CMS, Elementary Particle Physics, Physics, Faculty of Sciences and Bioengineering Sciences, Vriendenkring VUB, Çukurova Üniversitesi, Fen-Edebiyat Fakültesi, Fizik Bölümü, Université de Strasbourg (UNISTRA)-Université de Haute-Alsace (UHA) Mulhouse - Colmar (Université de Haute-Alsace (UHA))-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Karapınar, Güler, Izmir Institute of Technology. Mathematics, CMS Collaboration, Centre National de la Recherche Scientifique (CNRS)-École polytechnique (X)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Yerevan Phys Inst, Inst Hochenergiephys, Inst Nucl Problems, Univ Antwerp, Vrije Univ Brussel, Univ Libre Bruxelles, Univ Ghent, Catholic Univ Louvain, Ctr Brasileiro Pesquisas Fis, Universidade do Estado do Rio de Janeiro (UERJ), Universidade Estadual Paulista (Unesp), Universidade Federal do ABC (UFABC), Bulgarian Acad Sci, Univ Sofia, Beihang Univ, Inst High Energy Phys, Peking Univ, Tsinghua Univ, Univ Los 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University, Işıldak, Bora, Sirunyan, A.M., Tumasyan, A., Adam, W., Ambrogi, F., Asilar, E., Bergauer, T., Brandstetter, J., Dragicevic, M., Erö, J., Valle, A. 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Calderon De La Barca, Chertok, M., Conway, J., Conway, R., Cox, P.T., Erbacher, R., Flores, C., Funk, G., Ko, W., Kukral, O., Lander, R., Mulhearn, M., Pellett, D., Pilot, J., Shalhout, S., Shi, M., Stolp, D., Taylor, D., Tos, K., Tripathi, M., Zhang, F., Bachtis, M., Bravo, C., Cousins, R., Dasgupta, A., Florent, A., Hauser, J., Ignatenko, M., McColl, N., Regnard, S., Saltzberg, D., Schnaible, C., Valuev, V., Bouvier, E., Burt, K., Clare, R., Gary, J.W., Shirazi, S.M.A. Ghiasi, Hanson, G., Karapostoli, G., Kennedy, E., Lacroix, F., Long, O.R., Negrete, M. Olmedo, Paneva, M.I., Si, W., Wang, L., Wei, H., Wimpenny, S., Yates, B.R., Branson, J.G., Cittolin, S., Derdzinski, M., Gerosa, R., Gilbert, D., Hashemi, B., Holzner, A., Klein, D., Kole, G., Krutelyov, V., Letts, J., Masciovecchio, M., Olivito, D., Padhi, S., Pieri, M., Sani, M., Sharma, V., Simon, S., Tadel, M., Vartak, A., Wasserbaech, S., Wood, J., Würthwein, F., Yagil, A., Porta, G. 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Franco, Gouskos, L., Heller, R., Incandela, J., Ovcharova, A., Qu, H., Richman, J., Stuart, D., Suarez, I., Wang, S., Yoo, J., Anderson, D., Bornheim, A., Lawhorn, J.M., Newman, H.B., Nguyen, T.Q., Spiropulu, M., Vlimant, J.R., Wilkinson, R., Xie, S., Zhang, Z., Zhu, R.Y., Andrews, M.B., Ferguson, T., Mudholkar, T., Paulini, M., Sun, M., Vorobiev, I., Weinberg, M., Cumalat, J.P., Ford, W.T., Jensen, F., Johnson, A., Krohn, M., Macdonald, E., Mulholland, T., Patel, R., Stenson, K., Ulmer, K.A., Wagner, S.R., Alexander, J., Chaves, J., Cheng, Y., Chu, J., Datta, A., McDermott, K., Mirman, N., Patterson, J.R., Quach, D., Rinkevicius, A., Ryd, A., Skinnari, L., Soffi, L., Tan, S.M., Tao, Z., Thom, J., Tucker, J., Wittich, P., Zientek, M., Abdullin, S., Albrow, M., Alyari, M., Apollinari, G., Apresyan, A., Apyan, A., Bauerdick, L.A.T., Beretvas, A., Berryhill, J., Bhat, P.C., Bolla, G., Burkett, K., Butler, J.N., Canepa, A., Cerati, G.B., Cheung, H.W.K., Chlebana, F., Cremonesi, M., Duarte, J., Elvira, V.D., Freeman, J., Gecse, Z., Gottschalk, E., Gray, L., Green, D., Grünendahl, S., Gutsche, O., Hanlon, J., Harris, R.M., Hasegawa, S., Hirschauer, J., Hu, Z., Jayatilaka, B., Jindariani, S., Johnson, M., Joshi, U., Klima, B., Kortelainen, M.J., Kreis, B., Lammel, S., Lincoln, D., Lipton, R., Liu, M., Liu, T., Lykken, J., Maeshima, K., Marraffino, J.M., Mason, D., McBride, P., Merkel, P., Mrenna, S., Nahn, S., O'Dell, V., Pedro, K., Pena, C., Prokofyev, O., Rakness, G., Ristori, L., Savoy-Navarro, A., Schneider, B., Sexton-Kennedy, E., Soha, A., Spalding, W.J., Spiegel, L., Stoynev, S., Strait, J., Strobbe, N., Taylor, L., Tkaczyk, S., Tran, N.V., Uplegger, L., Vaandering, E.W., Vernieri, C., Verzocchi, M., Vidal, R., Wang, M., Weber, H.A., Whitbeck, A., Acosta, D., Avery, P., Bortignon, P., Bourilkov, D., Brinkerhoff, A., Cadamuro, L., Carnes, A., Carver, M., Curry, D., Field, R.D., Gleyzer, S.V., Joshi, B.M., Konigsberg, J., Korytov, A., Lo, K.H., Ma, P., Matchev, K., Mei, H., Mitselmakher, G., Rosenzweig, D., Shi, K., Sperka, D., Wang, J., Joshi, Y.R., Linn, S., Ackert, A., Adams, T., Askew, A., Hagopian, S., Hagopian, V., Johnson, K.F., Kolberg, T., Martinez, G., Perry, T., Prosper, H., Saha, A., Schiber, C., Yohay, R., Baarmand, M.M., Bhopatkar, V., Colafranceschi, S., Hohlmann, M., Noonan, D., Rahmani, M., Roy, T., Yumiceva, F., Adams, M.R., Apanasevich, L., Berry, D., Betts, R.R., Cavanaugh, R., Chen, X., Dittmer, S., Evdokimov, O., Gerber, C.E., Hangal, D.A., Hofman, D.J., Jung, K., Kamin, J., Mills, C., Gonzalez, I.D. Sandoval, Tonjes, M.B., Varelas, N., Wang, H., Wang, X., Wu, Z., Zhang, J., Alhusseini, M., Bilki, B., Clarida, W., Dilsiz, K., Durgut, S., Gandrajula, R.P., Haytmyradov, M., Khristenko, V., Merlo, J.-P., Mestvirishvili, A., Moeller, A., Nachtman, J., Ogul, H., Onel, Y., Ozok, F., Penzo, A., Snyder, C., Tiras, E., Wetzel, J., Blumenfeld, B., Cocoros, A., Eminizer, N., Fehling, D., Feng, L., Gritsan, A.V., Hung, W.T., Maksimovic, P., Roskes, J., Sarica, U., Swartz, M., Xiao, M., You, C., Al-Bataineh, A., Baringer, P., Bean, A., Boren, S., Bowen, J., Bylinkin, A., Castle, J., Khalil, S., Kropivnitskaya, A., Majumder, D., McBrayer, W., Murray, M., Rogan, C., Sanders, S., Schmitz, E., Takaki, J.D. Tapia, Duric, S., Ivanov, A., Kaadze, K., Kim, D., Maravin, Y., Mendis, D.R., Mitchell, T., Modak, A., Mohammadi, A., Saini, L.K., Skhirtladze, N., Rebassoo, F., Wright, D., Baden, A., Baron, O., Belloni, A., Eno, S.C., Feng, Y., Ferraioli, C., Hadley, N.J., Jabeen, S., Jeng, G.Y., Kellogg, R.G., Kunkle, J., Mignerey, A.C., Ricci-Tam, F., Shin, Y.H., Skuja, A., Tonwar, S.C., Wong, K., Abercrombie, D., Allen, B., Azzolini, V., Baty, A., Bauer, G., Bi, R., Brandt, S., Busza, W., Cali, I.A., D'Alfonso, M., Demiragli, Z., Ceballos, G. Gomez, Goncharov, M., Harris, P., Hsu, D., Hu, M., Iiyama, Y., Innocenti, G.M., Klute, M., Kovalskyi, D., Lee, Y.-J., Luckey, P.D., Maier, B., Marini, A.C., McGinn, C., Mironov, C., Narayanan, S., Niu, X., Paus, C., Roland, C., Roland, G., Stephans, G.S.F., Sumorok, K., Tatar, K., Velicanu, D., Wang, T.W., Wyslouch, B., Zhaozhong, S., Benvenuti, A.C., Chatterjee, R.M., Evans, A., Hansen, P., Kalafut, S., Kubota, Y., Lesko, Z., Mans, J., Ruckstuhl, N., Rusack, R., Turkewitz, J., Wadud, M.A., Acosta, J.G., Oliveros, S., Avdeeva, E., Bloom, K., Claes, D.R., Fangmeier, C., Golf, F., Suarez, R. Gonzalez, Kamalieddin, R., Kravchenko, I., Monroy, J., Siado, J.E., Snow, G.R., Stieger, B., Godshalk, A., Harrington, C., Iashvili, I., Kharchilava, A., McLean, C., Nguyen, D., Parker, A., Rappoccio, S., Roozbahani, B., Alverson, G., Barberis, E., Freer, C., Hortiangtham, A., Morse, D.M., Orimoto, T., Lima, R. Teixeira De, Wamorkar, T., Wang, B., Wisecarver, A., Wood, D., Charaf, O., Hahn, K.A., Mucia, N., Odell, N., Schmitt, M.H., Sung, K., Trovato, M., Velasco, M., Bucci, R., Dev, N., Hildreth, M., Anampa, K. Hurtado, Jessop, C., Karmgard, D.J., Kellams, N., Lannon, K., Li, W., Loukas, N., Marinelli, N., Meng, F., Mueller, C., Musienko, Y., Planer, M., Reinsvold, A., Ruchti, R., Siddireddy, P., Smith, G., Taroni, S., Wayne, M., Wightman, A., Wolf, M., Woodard, A., Alimena, J., Antonelli, L., Bylsma, B., Durkin, L.S., Flowers, S., Francis, B., Hart, A., Hill, C., Ji, W., Ling, T.Y., Luo, W., Winer, B.L., Wulsin, H.W., Cooperstein, S., Elmer, P., Hardenbrook, J., Higginbotham, S., Kalogeropoulos, A., Lange, D., Lucchini, M.T., Luo, J., Marlow, D., Mei, K., Ojalvo, I., Olsen, J., Palmer, C., Piroué, P., Salfeld-Nebgen, J., Stickland, D., Tully, C., Norberg, S., Barker, A., Barnes, V.E., Das, S., Gutay, L., Jones, M., Jung, A.W., Khatiwada, A., Mahakud, B., Miller, D.H., Neumeister, N., Peng, C.C., Piperov, S., Qiu, H., Schulte, J.F., Sun, J., Wang, F., Xiao, R., Xie, W., Cheng, T., Dolen, J., Parashar, N., Chen, Z., Ecklund, K.M., Freed, S., Geurts, F.J.M., Kilpatrick, M., Padley, B.P., Roberts, J., Rorie, J., Shi, W., Tu, Z., Zabel, J., Zhang, A., Bodek, A., De Barbaro, P., Demina, R., Duh, Y.T., Dulemba, J.L., Fallon, C., Ferbel, T., Galanti, M., Garcia-Bellido, A., Han, J., Hindrichs, O., Khukhunaishvili, A., Tan, P., Taus, R., Agapitos, A., Chou, J.P., Gershtein, Y., Halkiadakis, E., Heindl, M., Hughes, E., Kaplan, S., Elayavalli, R. Kunnawalkam, Kyriacou, S., Lath, A., Montalvo, R., Nash, K., Osherson, M., Saka, H., Salur, S., Schnetzer, S., Sheffield, D., Somalwar, S., Stone, R., Thomas, S., Thomassen, P., Walker, M., Delannoy, A.G., Heideman, J., Riley, G., Spanier, S., Bouhali, O., Celik, A., Dalchenko, M., Mattia, M. De, Delgado, A., Dildick, S., Eusebi, R., Gilmore, J., Huang, T., Kamon, T., Luo, S., Mueller, R., Perloff, A., Pernie, L., Rathjens, D., Safonov, A., Akchurin, N., Damgov, J., Guio, F. De, Dudero, P.R., Kunori, S., Lamichhane, K., Mengke, T., Muthumuni, S., Peltola, T., Undleeb, S., Volobouev, I., Greene, S., Gurrola, A., Janjam, R., Johns, W., Maguire, C., Melo, A., Ni, H., Padeken, K., Alvarez, J.D. Ruiz, Sheldon, P., Tuo, S., Velkovska, J., Verweij, M., Xu, Q., Arenton, M.W., Barria, P., Cox, B., Hirosky, R., Joyce, M., Ledovskoy, A., Li, H., Neu, C., Sinthuprasith, T., Wolfe, E., Xia, F., Harr, R., Karchin, P.E., Poudyal, N., Sturdy, J., Thapa, P., Zaleski, S., Brodski, M., Buchanan, J., Caillol, C., Carlsmith, D., Dasu, S., Dodd, L., Gomber, B., Grothe, M., Herndon, M., Hervé, A., Hussain, U., Klabbers, P., Lanaro, A., Long, K., Loveless, R., Ruggles, T., Savin, A., Smith, N., Smith, W.H., and Woods, N.
Subjects: Technology, Compact Muon Solenoid, Physics::Instrumentation and Detectors, 13000 GeV-cms, particle identification: efficiency, PROTON-PROTON COLLISIONS, Hadron, Performance of High Energy Physics Detector, Particle identiﬁcation methods, 01 natural sciences, 7. Clean energy, 030218 nuclear medicine & medical imaging, High Energy Physics - Experiment, tau: particle identification, Particle identification methods, 0302 clinical medicine, particle identification [tau], scattering [p p], [PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex], Nuclear Experiment, Instrumentation, Instruments & Instrumentation, Mathematical Physics, Boson, Large detector-systems performance, Physics, Large Hadron Collider, Luminosity (scattering theory), efficiency [particle identification], tau: pair production, track data analysis, CMS, Settore FIS/01 - Fisica Sperimentale, Performance of High Energy Physics Detectors, BOSON, Monte Carlo [numerical calculations], CMS collaboration, particle tracking detectors, particle identification methods, large detector-system performance, proton-proton collisions, Nuclear & Particles Physics, CERN LHC Coll, pair production [tau], Physique des particules élémentaires, pi0: particle identification, PARTICLE PHYSICS, Neutrino, colliding beams [p p], numerical calculations: Monte Carlo, CROSS-SECTION, Particle Physics - Experiment, performance, Particle physics, data analysis method, p p: scattering, Large detector-systems performance, Particle identification methods, Performance of High Energy Physics Detectors, Astrophysics::High Energy Astrophysical Phenomena, SEARCH, NEUTRINO, PAIR, boosted particle, 114 Physical sciences, 03 medical and health sciences, Particle identification method, High energy physics detectors, Performance of HighEnergyPhysicsDetectors, 0103 physical sciences, LHC,CMS, ddc:610, particle identification [pi0], 010306 general physics, tau: hadronic decay, Muon, Science & Technology, LARGE HADRON COLLIDER, 010308 nuclear & particles physics, hep-ex, High Energy Physics::Phenomenology, Particle İdentification Methods, high energy physics, experimental particle physics, LHC, standard model, trigger, Pair production, Physics and Astronomy, High Energy Physics::Experiment, hadronic decay [tau], p p: colliding beams, ddc:600, Lepton, experimental results
Abstract: Journal of Instrumentation 13(10), P10005 (2018). doi:10.1088/1748-0221/13/10/P10005, The algorithm developed by the CMS Collaboration to reconstruct and identify τ leptons produced in proton-proton collisions at $\sqrt{s}=$7 and 8 TeV, via their decays to hadrons and a neutrino, has been significantly improved. The changes include a revised reconstruction of $π^0$ candidates, and improvements in multivariate discriminants to separate τ leptons from jets and electrons. The algorithm is extended to reconstruct $τ$ leptons in highly Lorentz-boosted pair production, and in the high-level trigger. The performance of the algorithm is studied using proton-proton collisions recorded during 2016 at $\sqrt{s}=$13 TeV, corresponding to an integrated luminosity of 35.9 fb$^{-1}$. The performance is evaluated in terms of the efficiency for a genuine $τ$ lepton to pass the identification criteria and of the probabilities for jets, electrons, and muons to be misidentified as $τ$ leptons. The results are found to be very close to those expected from Monte Carlo simulation., Published by Inst. of Physics, London
Published: 2018
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10. The great tit HapMap project: A continental-scale analysis of genomic variation in a songbird.

Author: Spurgin LG, Bosse M, Adriaensen F, Albayrak T, Barboutis C, Belda E, Bushuev A, Cecere JG, Charmantier A, Cichon M, Dingemanse NJ, Doligez B, Eeva T, Erikstad KE, Fedorov V, Griggio M, Heylen D, Hille S, Hinde CA, Ivankina E, Kempenaers B, Kerimov A, Krist M, Kvist L, Laine VN, Mänd R, Matthysen E, Nager R, Nikolov BP, Norte AC, Orell M, Ouyang J, Petrova-Dinkova G, Richner H, Rubolini D, Slagsvold T, Tilgar V, Török J, Tschirren B, Vágási CI, Yuta T, Groenen MAM, Visser ME, van Oers K, Sheldon BC, and Slate J
Subjects: Animals, Genetics, Population methods, Europe, Passeriformes genetics, Passeriformes classification, Haplotypes genetics, Recombination, Genetic, Selection, Genetic, Genetic Variation, Polymorphism, Single Nucleotide, Songbirds genetics, Songbirds classification
Abstract: A major aim of evolutionary biology is to understand why patterns of genomic diversity vary within taxa and space. Large-scale genomic studies of widespread species are useful for studying how environment and demography shape patterns of genomic divergence. Here, we describe one of the most geographically comprehensive surveys of genomic variation in a wild vertebrate to date; the great tit (Parus major) HapMap project. We screened ca 500,000 SNP markers across 647 individuals from 29 populations, spanning ~30 degrees of latitude and 40 degrees of longitude - almost the entire geographical range of the European subspecies. Genome-wide variation was consistent with a recent colonisation across Europe from a South-East European refugium, with bottlenecks and reduced genetic diversity in island populations. Differentiation across the genome was highly heterogeneous, with clear 'islands of differentiation', even among populations with very low levels of genome-wide differentiation. Low local recombination rates were a strong predictor of high local genomic differentiation (F ST ), especially in island and peripheral mainland populations, suggesting that the interplay between genetic drift and recombination causes highly heterogeneous differentiation landscapes. We also detected genomic outlier regions that were confined to one or more peripheral great tit populations, probably as a result of recent directional selection at the species' range edges. Haplotype-based measures of selection were related to recombination rate, albeit less strongly, and highlighted population-specific sweeps that likely resulted from positive selection. Our study highlights how comprehensive screens of genomic variation in wild organisms can provide unique insights into spatio-temporal evolutionary dynamics., (© 2024 The Authors. Molecular Ecology Resources published by John Wiley & Sons Ltd.)
Published: 2024
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11. Specific alien plant species predominantly deliver nectar sugar and pollen but are not preferentially visited by wild pollinating insects in suburban riparian ecosystems.

Author: Egawa C, Yuta T, and Koyama A
Abstract: The invasion of alien plants has been rapidly proceeding worldwide due to urbanisation. This might be beneficial to wild pollinating insects, since some alien plant species have large flowers and/or long flowering periods, which can increase nectar sugar and pollen availability. To determine the relative contribution of alien plants to floral resource supply and whether resource-rich alien plants, if any, serve as an important food source of pollinating insects, we performed year-round field observations in suburban riverbanks. We quantified the per-unit-area availability of nectar sugar and pollen delivered by alien and native flowering species and counted wild flower visitors (bees and wasps, hoverflies and butterflies) per plant species. The available nectar sugar and pollen per area were predominantly delivered by a few specific alien species, and the relative contribution of other species to floral resource provision was low throughout the period that wild flower visitors were observed. Nonetheless, the resource-rich alien plants were not visited by as many insects as expected based on their contribution to resource provision. Rather, on a yearly basis, these plants received equal or even fewer visits than other flowering species, including resource-poor natives. We show that despite their great contribution to the gross floral resource supply, resource-rich alien plants do not serve as a principal food source for wild pollinating insects, and other plants, especially natives, are still needed to satisfy insect demand. For the conservation of pollinating insects in suburban ecosystems, maintaining floral resource diversity would be more beneficial than having an increase in gross floral resources by allowing the dominance of specific alien plants., Competing Interests: The authors have no conflict of interest to declare., (© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
Published: 2023
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12. Identification of GPI-anchored protein LYPD1 as an essential factor for odontoblast differentiation in tooth development.

Author: Fu Y, Miyazaki K, Chiba Y, Funada K, Yuta T, Tian T, Mizuta K, Kawahara J, Zhang L, Martin D, Iwamoto T, Takahashi I, Fukumoto S, and Yoshizaki K
Subjects: Animals, Mice, Bone Morphogenetic Proteins metabolism, Cell Membrane metabolism, Gene Expression Regulation, Developmental, Glycosylphosphatidylinositols metabolism, Membrane Microdomains metabolism, Protein Domains, Cell Differentiation, GPI-Linked Proteins metabolism, Odontoblasts cytology, Odontoblasts metabolism, Odontogenesis
Abstract: Lipid rafts are membrane microdomains rich in cholesterol, sphingolipids, glycosylphosphatidylinositol-anchored proteins (GPI-APs), and receptors. These lipid raft components are localized at the plasma membrane and are essential for signal transmission and organogenesis. However, few reports have been published on the specific effects of lipid rafts on tooth development. Using microarray and single-cell RNA sequencing methods, we found that a GPI-AP, lymphocyte antigen-6/Plaur domain-containing 1 (Lypd1), was specifically expressed in preodontoblasts. Depletion of Lypd1 in tooth germ using an ex vivo organ culture system and in mouse dental pulp (mDP) cells resulted in the inhibition of odontoblast differentiation. Activation of bone morphogenetic protein (BMP) signaling by BMP2 treatment in mDP cells promoted odontoblast differentiation via phosphorylation of Smad1/5/8, while this BMP2-mediated odontoblast differentiation was inhibited by depletion of Lypd1. Furthermore, we created a deletion construct of the C terminus containing the omega site in LYPD1; this site is necessary for localizing GPI-APs to the plasma membrane and lipid rafts. We identified that this site is essential for odontoblast differentiation and morphological change of mDP cells. These findings demonstrated that LYPD1 is a novel marker of preodontoblasts in the developing tooth; in addition, they suggest that LYPD1 is important for tooth development and that it plays a pivotal role in odontoblast differentiation by regulating Smad1/5/8 phosphorylation through its effect as a GPI-AP in lipid rafts., Competing Interests: Conflict of interest The authors declare that they have no conflicts of interest with the contents of this article., (Copyright © 2023 The Authors. Published by Elsevier Inc. All rights reserved.)
Published: 2023
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13. Development of a novel ex vivo organ culture system to improve preservation methods of regenerative tissues.

Author: Yuta T, Tian T, Chiba Y, Miyazaki K, Funada K, Mizuta K, Fu Y, Kawahara J, Iwamoto T, Takahashi I, Fukumoto S, and Yoshizaki K
Subjects: Animals, Organ Culture Techniques, Cold Temperature, Disease Models, Animal, Arginine, Cold Shock Proteins and Peptides
Abstract: Recent advances in regenerative technology have made the regeneration of various organs using pluripotent stem cells possible. However, a simpler screening method for evaluating regenerated organs is required to apply this technology to clinical regenerative medicine in the future. We have developed a simple evaluation method using a mouse tooth germ culture model of organs formed by epithelial-mesenchymal interactions. In this study, we successfully established a simple method that controls tissue development in a temperature-dependent manner using a mouse tooth germ ex vivo culture model. We observed that the development of the cultured tooth germ could be delayed by low-temperature culture and resumed by the subsequent culture at 37 °C. Furthermore, the optimal temperature for the long-term preservation of tooth germ was 25 °C, a subnormothermic temperature that maintains the expression of stem cell markers. We also found that subnormothermic temperature induces the expression of cold shock proteins, such as cold-inducible RNA-binding protein, RNA-binding motif protein 3, and serine and arginine rich splicing factor 5. This study provides a simple screening method to help establish the development of regenerative tissue technology using a tooth organ culture model. Our findings may be potentially useful for making advances in the field of regenerative medicine., (© 2023. The Author(s).)
Published: 2023
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14. An ex vivo organ culture screening model revealed that low temperature conditions prevent side effects of anticancer drugs.

Author: Tian T, Miyazaki K, Chiba Y, Funada K, Yuta T, Mizuta K, Fu Y, Kawahara J, Han X, Ando Y, Funada A, Yamada A, Iwamoto T, Nakamura S, Takahashi I, Fukumoto S, and Yoshizaki K
Subjects: Cell Cycle Checkpoints drug effects, Cell Proliferation drug effects, DNA Damage drug effects, DNA Replication drug effects, G1 Phase drug effects, Humans, Models, Biological, Organ Culture Techniques, Antineoplastic Agents adverse effects, Cyclophosphamide adverse effects, Temperature
Abstract: Development of chemotherapy has led to a high survival rate of cancer patients; however, the severe side effects of anticancer drugs, including organ hypoplasia, persist. To assume the side effect of anticancer drugs, we established a new ex vivo screening model and described a method for suppressing side effects. Cyclophosphamide (CPA) is a commonly used anticancer drug and causes severe side effects in developing organs with intensive proliferation, including the teeth and hair. Using the organ culture model, we found that treatment with CPA disturbed the growth of tooth germs by inducing DNA damage, apoptosis and suppressing cellular proliferation and differentiation. Furthermore, low temperature suppressed CPA-mediated inhibition of organ development. Our ex vivo and in vitro analysis revealed that low temperature impeded Rb phosphorylation and caused cell cycle arrest at the G1 phase during CPA treatment. This can prevent the CPA-mediated cell damage of DNA replication caused by the cross-linking reaction of CPA. Our findings suggest that the side effects of anticancer drugs on organ development can be avoided by maintaining the internal environment under low temperature., (© 2022. The Author(s).)
Published: 2022
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15. microRNA-875-5p plays critical role for mesenchymal condensation in epithelial-mesenchymal interaction during tooth development.

Author: Funada K, Yoshizaki K, MIyazaki K, Han X, Yuta T, Tian T, Mizuta K, Fu Y, Iwamoto T, Yamada A, Takahashi I, and Fukumoto S
Subjects: Animals, Cell Communication, Cell Differentiation genetics, Cell Movement, Epithelial Cells metabolism, Gene Expression Regulation, Developmental, Immunohistochemistry, Mesenchymal Stem Cells cytology, Mice, Dental Physiological Phenomena genetics, Mesenchymal Stem Cells metabolism, MicroRNAs genetics, Odontogenesis genetics, Tooth growth & development
Abstract: Epithelial-mesenchymal interaction has critical roles for organ development including teeth, during which epithelial thickening and mesenchymal condensation are initiated by precise regulation of the signaling pathway. In teeth, neural crest-derived mesenchymal cells expressed PDGF receptors migrate and become condensed toward invaginated epithelium. To identify the molecular mechanism of this interaction, we explored the specific transcriptional start sites (TSSs) of tooth organs using cap analysis of gene expression (CAGE). We identified a tooth specific TSS detected in the chromosome 15qD1 region, which codes microRNA-875 (mir875). MiR875-5p is specifically expressed in dental mesenchyme during the early stage of tooth development. Furthermore, PRRX1/2 binds to the mir875 promoter region and enhances the expression of mir875. To assess the role of miR875-5p in dental mesenchyme, we transfected mimic miR875-5p into mouse dental pulp (mDP) cells, which showed that cell migration toward dental epithelial cells was significantly induced by miR875-5p via the PDGF signaling pathway. Those results also demonstrated that miR875-5p induces cell migration by inhibiting PTEN and STAT1, which are regulated by miR875-5p as part of post-transcriptional regulation. Together, our findings indicate that tooth specific miR875-5p has important roles in cell condensation of mesenchymal cells around invaginated dental epithelium and induction of epithelial-mesenchymal interaction.
Published: 2020
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16. The transcription factor NKX2-3 mediates p21 expression and ectodysplasin-A signaling in the enamel knot for cusp formation in tooth development.

Author: Han X, Yoshizaki K, Miyazaki K, Arai C, Funada K, Yuta T, Tian T, Chiba Y, Saito K, Iwamoto T, Yamada A, Takahashi I, and Fukumoto S
Subjects: Animals, Cell Proliferation physiology, Cyclin-Dependent Kinase Inhibitor p21 genetics, Dental Enamel cytology, Edar Receptor, Epithelial Cells metabolism, Female, Genes, Homeobox, Homeodomain Proteins genetics, Mice, Mice, Knockout, Morphogenesis, Odontogenesis genetics, Organ Culture Techniques, Pregnancy, Promoter Regions, Genetic, SOXB1 Transcription Factors metabolism, Transcription Factors genetics, Transcription, Genetic, Cyclin-Dependent Kinase Inhibitor p21 metabolism, Dental Enamel metabolism, Ectodysplasins metabolism, Homeodomain Proteins physiology, Odontogenesis physiology, Signal Transduction physiology, Transcription Factors physiology
Abstract: Tooth morphogenesis is initiated by reciprocal interactions between the ectoderm and neural crest-derived mesenchyme. During tooth development, tooth cusps are regulated by precise control of proliferation of cell clusters, termed enamel knots, that are present among dental epithelial cells. The interaction of ectodysplasin-A (EDA) with its receptor, EDAR, plays a critical role in cusp formation by these enamel knots, and mutations of these genes is a cause of ectodermal dysplasia. It has also been reported that deficiency in Nkx2-3 , encoding a member of the NK2 homeobox family of transcription factors, leads to cusp absence in affected teeth. However, the molecular role of NKX2-3 in tooth morphogenesis is not clearly understood. Using gene microarray analysis in mouse embryos, we found that Nkx2-3 is highly expressed during tooth development and increased during the tooth morphogenesis, especially during cusp formation. We also demonstrate that NKX2-3 is a target molecule of EDA and critical for expression of the cell cycle regulator p21 in the enamel knot. Moreover, NKX2-3 activated the bone morphogenetic protein (BMP) signaling pathway by up-regulating expression levels of Bmp2 and Bmpr2 in dental epithelium and decreased the expression of the dental epithelial stem cell marker SRY box 2 (SOX2). Together, our results indicate that EDA/NKX2-3 signaling is essential for enamel knot formation during tooth morphogenesis in mice., (© 2018 Han et al.)
Published: 2018
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17. A minimal model of lung mechanics and model-based markers for optimizing ventilator treatment in ARDS patients.

Author: Sundaresan A, Yuta T, Hann CE, Chase JG, and Shaw GM
Subjects: Algorithms, Computer Simulation, Humans, Quality Assurance, Health Care methods, Respiratory Distress Syndrome diagnosis, Decision Support Systems, Clinical, Lung physiopathology, Models, Biological, Respiration, Artificial methods, Respiratory Distress Syndrome physiopathology, Respiratory Distress Syndrome rehabilitation, Respiratory Mechanics, Therapy, Computer-Assisted methods
Abstract: A majority of patients admitted to the Intensive Care Unit (ICU) require some form of respiratory support. In the case of Acute Respiratory Distress Syndrome (ARDS), the patient often requires full intervention from a mechanical ventilator. ARDS is also associated with mortality rate as high as 70%. Despite many recent studies on ventilator treatment of the disease, there are no well established methods to determine the optimal Positive End-Expiratory Pressure (PEEP) or other critical ventilator settings for individual patients. A model of fundamental lung mechanics is developed based on capturing the recruitment status of lung units. The main objective of this research is to develop a minimal model that is clinically effective in determining PEEP. The model was identified for a variety of different ventilator settings using clinical data. The fitting error was between 0.1% and 4% over the inflation limb and between 0.3% and 13% over the deflation limb at different PEEP settings. The model produces good correlation with clinical data, and is clinically applicable due to the minimal number of patient specific parameters to identify. The ability to use this identified patient specific model to optimize ventilator management is demonstrated by its ability to predict the patient specific response of PEEP changes before clinically applying them. Predictions of recruited lung volume change with change in PEEP have a median absolute error of 1.87% (IQR: 0.93-4.80%; 90% CI: 0.16-11.98%) for inflation and a median of 5.76% (IQR: 2.71-10.50%; 90% CI: 0.43-17.04%) for deflation, across all data sets and PEEP values (N=34predictions). This minimal model thus provides a clinically useful and relatively simple platform for continuous patient specific monitoring of lung unit recruitment for a patient.
Published: 2009
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18. A novel mechanical lung model of pulmonary diseases to assist with teaching and training.

Author: Chase JG, Yuta T, Mulligan KJ, Shaw GM, and Horn B
Subjects: Humans, Lung Diseases therapy, Positive-Pressure Respiration, Respiration, Artificial methods, Ventilators, Mechanical, Education, Medical, Lung physiopathology, Lung Diseases physiopathology, Models, Biological, Teaching Materials
Abstract: Background: A design concept of low-cost, simple, fully mechanical model of a mechanically ventilated, passively breathing lung is developed. An example model is built to simulate a patient under mechanical ventilation with accurate volumes and compliances, while connected directly to a ventilator., Methods: The lung is modelled with multiple units, represented by rubber bellows, with adjustable weights placed on bellows to simulate compartments of different superimposed pressure and compliance, as well as different levels of lung disease, such as Acute Respiratory Distress Syndrome (ARDS). The model was directly connected to a ventilator and the resulting pressure volume curves recorded., Results: The model effectively captures the fundamental lung dynamics for a variety of conditions, and showed the effects of different ventilator settings. It was particularly effective at showing the impact of Positive End Expiratory Pressure (PEEP) therapy on lung recruitment to improve oxygenation, a particulary difficult dynamic to capture., Conclusion: Application of PEEP therapy is difficult to teach and demonstrate clearly. Therefore, the model provide opportunity to train, teach, and aid further understanding of lung mechanics and the treatment of lung diseases in critical care, such as ARDS and asthma. Finally, the model's pure mechanical nature and accurate lung volumes mean that all results are both clearly visible and thus intuitively simple to grasp.
Published: 2006
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19. Dynamic models of ARDS lung mechanics for optimal patient ventilation.

Author: Yuta T, Chase JG, Shaw GM, and Hann C
Abstract: Mechanical ventilation is often used to treat patients with acute respiratory distress syndrome (ARDS). However, the optimal setting is still controversial, and physicians often rely on experience and intuition. The purpose of this research is to develop a model of the essential lung mechanics to help determining the optimal ventilator setting in clinical situations. The model is a compilation of physiologically based mechanics parameters, which are adjustable to represent patient specific conditions. Further investigation improvements are required, however it shows good initial for eventual clinical use.
Published: 2004
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20. Development of a ceramic heart valve.

Author: Mitamura Y, Hosooka K, Matsumoto T, Otaki K, Sakai K, Tanabe T, Yuta T, and Mikami T
Subjects: Animals, Male, Materials Testing, Physical Phenomena, Physics, Platelet Aggregation, Prosthesis Design, Sheep, Thrombosis prevention & control, Biocompatible Materials, Ceramics adverse effects, Heart Valve Prosthesis adverse effects
Abstract: A durable and thromboresistant ceramic heart valve comprised of a single crystal alumina disk and titanium nitride (TiN) valve ring has been developed. Blood compatibility was examined by scanning electron microscopy (SEM) examinations of the valves implanted in sheep for 35 (#1), 26 (#2), 20 (#3), 23 (#4), and 26 (#5) days. The single crystal alumina and TiN surfaces were free of platelet aggregation or fibrin networks, except for some depositions of fibrin and platelets on the outflow TiN ring in #3, and isolated red cells on the outflow TiN ring in #5. Durability testing under high pressure (1750 mmHg = 233 KPa) pulsatile conditions showed that the safety factor of the ceramic valve was more than seven times greater than anticipated. The ceramic valve is promising as an artificial heart valve.
Published: 1989
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20 results on '"Yuta, T."'

1. Connecting the data landscape of long-term ecological studies:The SPI-Birds data hub

2. Connecting the data landscape of long-term ecological studies : The SPI-Birds data hub

3. A Simple Web-Based Tool to Compare Freshwater Fish Data Collected Using AFS Standard Methods

4. A Simple Web-Based Tool to Compare Freshwater Fish Data Collected Using AFS Standard Methods

5. Dynamic models of ARDS lung mechanics for optimal patient ventilation.

6. Development of a Fine Ceramic Heart Valve for Use as a Cardiac Prosthesis

7. Dynamic models of ARDS lung mechanics for optimal patient ventilation

8. Connecting the data landscape of long-term ecological studies: the SPI-Birds data hub

9. Performance of reconstruction and identification of τ leptons decaying to hadrons and vτ in pp collisions at √s=13 TeV

10. The great tit HapMap project: A continental-scale analysis of genomic variation in a songbird.

11. Specific alien plant species predominantly deliver nectar sugar and pollen but are not preferentially visited by wild pollinating insects in suburban riparian ecosystems.

12. Identification of GPI-anchored protein LYPD1 as an essential factor for odontoblast differentiation in tooth development.

13. Development of a novel ex vivo organ culture system to improve preservation methods of regenerative tissues.

14. An ex vivo organ culture screening model revealed that low temperature conditions prevent side effects of anticancer drugs.

15. microRNA-875-5p plays critical role for mesenchymal condensation in epithelial-mesenchymal interaction during tooth development.

16. The transcription factor NKX2-3 mediates p21 expression and ectodysplasin-A signaling in the enamel knot for cusp formation in tooth development.

17. A minimal model of lung mechanics and model-based markers for optimizing ventilator treatment in ARDS patients.

18. A novel mechanical lung model of pulmonary diseases to assist with teaching and training.

19. Dynamic models of ARDS lung mechanics for optimal patient ventilation.

20. Development of a ceramic heart valve.

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