28 results on '"C. Cea"'
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2. Valorization of Agricultural Rice Straw as a Sustainable Feedstock for Rigid Polyurethane/Polyisocyanurate Foam Production
- Author
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Roger G. Dingcong, Mary Ann N. Ahalajal, Leanne Christie C. Mendija, Rosal Jane G. Ruda-Bayor, Felrose P. Maravillas, Applegen I. Cavero, Evalyn Joy C. Cea, Kaye Junelle M. Pantaleon, Kassandra Jayza Gift D. Tejas, Edison A. Limbaga, Gerard G. Dumancas, Roberto M. Malaluan, and Arnold A. Lubguban
- Subjects
Chemistry ,QD1-999 - Published
- 2024
- Full Text
- View/download PDF
3. Ten years of local water resource management : Integrating satellite remote sensing and geographical information systems
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Pere Serra, Jordi Cristóbal, Enrique Velasco, Manel Monterde, Xavier Pons, Paula Díaz, A. Riverola, Cristina Domingo, C. Cea, and Oscar Gonzalez
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Atmospheric Science ,010504 meteorology & atmospheric sciences ,0211 other engineering and technologies ,02 engineering and technology ,01 natural sciences ,Agency (sociology) ,Information system ,Computers in Earth Sciences ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,General Environmental Science ,Remote sensing ,Intranet ,business.industry ,Applied Mathematics ,Environmental resource management ,Operational Remote Sensing ,GIS ,Data Harmonization ,Medium resolution ,Water Resource Management ,Geography ,Remote sensing (archaeology) ,Satellite remote sensing ,The Internet ,Satellite ,Snow Cover ,business ,Crop Mapping - Abstract
On 2002, a novel initiative was undertaken by the local water administration of Catalonia (the Agencia Catalana de l'Aigua) and the Universitat Autonoma de Barcelona, leading to a ten-year project where a high number of medium resolution satellite images (MODIS and Landsat) were integrated to the daily water management to improve decision making effectiveness. This paper describes the methodology followed in the successful application of remote sensing, as well as the main problems that had to be overcome during its execution. It also presents the products that have been calculated. These are integrated into the Agency's corporate GIS and immediately available via the intranet for the staff, and a selection is available on the Internet.
- Published
- 2021
4. Patient care pathway hypnosedation in endo urology: An innovative alternative to general anesthesia
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J. Galland, C. Pouliquen, S. Rybikowski, M.A. Laurent, C. Demontis, Jochen Walz, I. Mejri, L. Nguyen, P. Treacy, T. Maubon, S. Fakhfakh, F. Bereni, C. Montoya, E. Bokor, C. Cea, K. Loverde, J. Aveno, J. Deguibert, M. Faucher, Géraldine Pignot, Sylvie Cambon, D. Mokart, J. Campagna, and C. Forestier
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Hypnosedation ,medicine.medical_specialty ,business.industry ,Urology ,General surgery ,Medicine ,lcsh:Diseases of the genitourinary system. Urology ,lcsh:RC870-923 ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,business ,lcsh:RC254-282 ,Patient care - Published
- 2020
- Full Text
- View/download PDF
5. Transverse target spin asymmetries in exclusive $\rho^0$ muoproduction
- Author
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Adolph, C.Universität Erlangen–Nürnberg, Physikalisches Institut, 91054 Erlangen, Germany 10, Akhunzyanov, R.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Alekseev, M.G.(Trieste Section of INFN, 34127 Trieste, Italy), Alexakhin, V.Yu.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Alexandrov, Yu.(Lebedev Physical Institute, 119991 Moscow, Russia), Alexeev, G.D.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Amoroso, A.(University of Turin, Department of Physics, 10125 Turin, Italy), Andrieux, V.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Anosov, V.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Austregesilo, A.(CERN, 1211 Geneva 23, Switzerland), Badełek, B.(University of Warsaw, Faculty of Physics, 00-681 Warsaw, Poland 19), Balestra, F.(University of Turin, Department of Physics, 10125 Turin, Italy), Barth, J.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Baum, G.(Universität Bielefeld Fakultät für Physik, 33501 Bielefeld, Germany 10 10 Supported by the German Bundesministerium für Bildung und Forschung.), Beck, R.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Bedfer, Y.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Berlin, A.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Bernhard, J.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Bertini, R.(University of Turin, Department of Physics, 10125 Turin, Italy), Bicker, K.(CERN, 1211 Geneva 23, Switzerland), Bieling, J.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Birsa, R.(Trieste Section of INFN, 34127 Trieste, Italy), Bisplinghoff, J.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Bodlak, M.(Charles University in Prague, Faculty of Mathematics and Physics, 18000 Prague, Czech Republic 11), Boer, M.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Bordalo, P.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Bradamante, F.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Braun, C.(Universität Erlangen–Nürnberg, Physikalisches Institut, 91054 Erlangen, Germany 10), Bravar, A.(Trieste Section of INFN, 34127 Trieste, Italy), Bressan, A.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Büchele, M.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Burtin, E.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Capozza, L.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Chiosso, M.(University of Turin, Department of Physics, 10125 Turin, Italy), Chung, S.U.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Cicuttin, A.(Abdus Salam ICTP, 34151 Trieste, Italy), Crespo, M.L.(Abdus Salam ICTP, 34151 Trieste, Italy), Curiel, Q.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Dalla Torre, S.(Trieste Section of INFN, 34127 Trieste, Italy), Dasgupta, S.S.(Matrivani Institute of Experimental Research & Education, Calcutta-700 030, India 12 12 Supported by SAIL (CSR), Govt. of India.), Dasgupta, S.(Trieste Section of INFN, 34127 Trieste, Italy), Denisov, O.Yu.(Torino Section of INFN, 10125 Turin, Italy), Donskov, S.V.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Doshita, N.(Yamagata University, Yamagata, 992-8510, Japan 15), Duic, V.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Dünnweber, W.(Ludwig-Maximilians-Universität München, Department für Physik, 80799 Munich, Germany 10 16 16 Supported by the DFG cluster of excellence ‘Origin and Structure of the Universe’ ( www.universe-cluster.de ).), Dziewiecki, M.(Warsaw University of Technology, Institute of Radioelectronics, 00-665 Warsaw, Poland 19), Efremov, A.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Elia, C.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Eversheim, P.D.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Eyrich, W.(Universität Erlangen–Nürnberg, Physikalisches Institut, 91054 Erlangen, Germany 10), Faessler, M.(Ludwig-Maximilians-Universität München, Department für Physik, 80799 Munich, Germany 10 16 16 Supported by the DFG cluster of excellence ‘Origin and Structure of the Universe’ ( www.universe-cluster.de ).), Ferrero, A.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Filin, A.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Finger, M.(Charles University in Prague, Faculty of Mathematics and Physics, 18000 Prague, Czech Republic 11), Fischer, H.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Franco, C.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), du Fresne von Hohenesche, N.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Friedrich, J.M.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Frolov, V.(CERN, 1211 Geneva 23, Switzerland), Garfagnini, R.(University of Turin, Department of Physics, 10125 Turin, Italy), Gautheron, F.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Gavrichtchouk, O.P.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Gerassimov, S.(Lebedev Physical Institute, 119991 Moscow, Russia), Geyer, R.(Ludwig-Maximilians-Universität München, Department für Physik, 80799 Munich, Germany 10 16 16 Supported by the DFG cluster of excellence ‘Origin and Structure of the Universe’ ( www.universe-cluster.de ).), Giorgi, M.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Gnesi, I.(University of Turin, Department of Physics, 10125 Turin, Italy), Gobbo, B.(Trieste Section of INFN, 34127 Trieste, Italy), Goertz, S.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Gorzellik, M.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Grabmüller, S.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Grasso, A.(University of Turin, Department of Physics, 10125 Turin, Italy), Grube, B.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Gushterski, R.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Guskov, A.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Guthörl, T.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Haas, F.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), von Harrach, D.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Hahne, D.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Hashimoto, R.(Yamagata University, Yamagata, 992-8510, Japan 15), Heinsius, F.H.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Herrmann, F.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Heß, C.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Hinterberger, F.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Höppner, Ch.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Horikawa, N.(Nagoya University, 464 Nagoya, Japan 15), d'Hose, N.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Huber, S.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Ishimoto, S.(Yamagata University, Yamagata, 992-8510, Japan 15), Ivanov, A.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Ivanshin, Yu.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Iwata, T.(Yamagata University, Yamagata, 992-8510, Japan 15), Jahn, R.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Jary, V.(Czech Technical University in Prague, 16636 Prague, Czech Republic 11), Jasinski, P.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Joerg, P.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Joosten, R.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Kabuß, E.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Kang, D.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Ketzer, B.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Khaustov, G.V.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Khokhlov, Yu.A.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Kisselev, Yu.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Klein, F.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Klimaszewski, K.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Koivuniemi, J.H.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Kolosov, V.N.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Kondo, K.(Yamagata University, Yamagata, 992-8510, Japan 15), Königsmann, K.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Konorov, I.(Lebedev Physical Institute, 119991 Moscow, Russia), Konstantinov, V.F.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Kotzinian, A.M.(University of Turin, Department of Physics, 10125 Turin, Italy), Kouznetsov, O.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Kral, Z.(Czech Technical University in Prague, 16636 Prague, Czech Republic 11), Krämer, M.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Kroumchtein, Z.V.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Kuchinski, N.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Kunne, F.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Kurek, K.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Kurjata, R.P.(Warsaw University of Technology, Institute of Radioelectronics, 00-665 Warsaw, Poland 19), Lednev, A.A.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Lehmann, A.(Universität Erlangen–Nürnberg, Physikalisches Institut, 91054 Erlangen, Germany 10), Levorato, S.(Trieste Section of INFN, 34127 Trieste, Italy), Lichtenstadt, J.(Tel Aviv University, School of Physics and Astronomy, 69978 Tel Aviv, Israel 18 18 Supported by the Israel Science Foundation, founded by the Israel Academy of Sciences and Humanities.), Maggiora, A.(Torino Section of INFN, 10125 Turin, Italy), Magnon, A.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Makke, N.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Mallot, G.K.(CERN, 1211 Geneva 23, Switzerland), Marchand, C.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Martin, A.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Marzec, J.(Warsaw University of Technology, Institute of Radioelectronics, 00-665 Warsaw, Poland 19), Matousek, J.(Charles University in Prague, Faculty of Mathematics and Physics, 18000 Prague, Czech Republic 11), Matsuda, H.(Yamagata University, Yamagata, 992-8510, Japan 15), Matsuda, T.(University of Miyazaki, Miyazaki 889-2192, Japan 15 15 Supported by the MEXT and the JSPS under the Grants Nos. 18002006, 20540299 and 18540281, Daiko Foundation and Yamada Foundation.), Meshcheryakov, G.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Meyer, W.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Michigami, T.(Yamagata University, Yamagata, 992-8510, Japan 15), Mikhailov, Yu.V.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Miyachi, Y.(Yamagata University, Yamagata, 992-8510, Japan 15), Nagaytsev, A.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Nagel, T.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Nerling, F.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Neubert, S.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Neyret, D.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Nikolaenko, V.I.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Novy, J.(Czech Technical University in Prague, 16636 Prague, Czech Republic 11), Nowak, W.-D.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Nunes, A.S.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Orlov, I.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Olshevsky, A.G.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Ostrick, M.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Panknin, R.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Panzieri, D.(University of Eastern Piedmont, 15100 Alessandria, Italy), Parsamyan, B.(University of Turin, Department of Physics, 10125 Turin, Italy), Paul, S.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Pesek, M.(Charles University in Prague, Faculty of Mathematics and Physics, 18000 Prague, Czech Republic 11), Peshekhonov, D.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Piragino, G.(University of Turin, Department of Physics, 10125 Turin, Italy), Platchkov, S.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Pochodzalla, J.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Polak, J.(Technical University in Liberec, 46117 Liberec, Czech Republic 11), Polyakov, V.A.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Pretz, J.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Quaresma, M.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Quintans, C.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Ramos, S.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Reicherz, G.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Rocco, E.(CERN, 1211 Geneva 23, Switzerland), Rodionov, V.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Rondio, E.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Rossiyskaya, N.S.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Ryabchikov, D.I.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Samoylenko, V.D.(State Research Center of the Russian Federation, Institute for High Energy Physics, 142281 Protvino, Russia), Sandacz, A.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Sapozhnikov, M.G.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Sarkar, S.(Matrivani Institute of Experimental Research & Education, Calcutta-700 030, India 12 12 Supported by SAIL (CSR), Govt. of India.), Savin, I.A.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Sbrizzai, G.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Schiavon, P.(University of Trieste, Department of Physics, 34127 Trieste, Italy), Schill, C.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Schlüter, T.(Ludwig-Maximilians-Universität München, Department für Physik, 80799 Munich, Germany 10 16 16 Supported by the DFG cluster of excellence ‘Origin and Structure of the Universe’ ( www.universe-cluster.de ).), Schmidt, A.(Universität Erlangen–Nürnberg, Physikalisches Institut, 91054 Erlangen, Germany 10), Schmidt, K.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Schmitt, L.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Schmïden, H.(Universität Bonn, Helmholtz-Institut für Strahlen- und Kernphysik, 53115 Bonn, Germany 10), Schönning, K.(CERN, 1211 Geneva 23, Switzerland), Schopferer, S.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Schott, M.(CERN, 1211 Geneva 23, Switzerland), Shevchenko, O.Yu.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Silva, L.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Sinha, L.(Matrivani Institute of Experimental Research & Education, Calcutta-700 030, India 12 12 Supported by SAIL (CSR), Govt. of India.), Sirtl, S.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Slunecka, M.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Sosio, S.(University of Turin, Department of Physics, 10125 Turin, Italy), Sozzi, F.(Trieste Section of INFN, 34127 Trieste, Italy), Srnka, A.(Institute of Scientific Instruments, AS CR, 61264 Brno, Czech Republic 11 11 Supported by Czech Republic MEYS Grants ME492 and LA242.), Steiger, L.(Trieste Section of INFN, 34127 Trieste, Italy), Stolarski, M.(LIP, 1000-149 Lisbon, Portugal 14 14 Supported by the Portuguese FCT – Fundação para a Ciência e Tecnologia, COMPETE and QREN, Grants CERN/FP/109323/2009, CERN/FP/116376/2010 and CERN/FP/123600/2011.), Sulc, M.(Technical University in Liberec, 46117 Liberec, Czech Republic 11), Sulej, R.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Suzuki, H.(Yamagata University, Yamagata, 992-8510, Japan 15), Szabelski, A.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Szameitat, T.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Sznajder, P.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Takekawa, S.(Torino Section of INFN, 10125 Turin, Italy), Ter Wolbeek, J.(Universität Freiburg, Physikalisches Institut, 79104 Freiburg, Germany 10 17), Tessaro, S.(Trieste Section of INFN, 34127 Trieste, Italy), Tessarotto, F.(Trieste Section of INFN, 34127 Trieste, Italy), Thibaud, F.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Uhl, S.(Technische Universität München, Physik Department, 85748 Garching, Germany 10 16), Uman, I.(Ludwig-Maximilians-Universität München, Department für Physik, 80799 Munich, Germany 10 16 16 Supported by the DFG cluster of excellence ‘Origin and Structure of the Universe’ ( www.universe-cluster.de ).), Vandenbroucke, M.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Virius, M.(Czech Technical University in Prague, 16636 Prague, Czech Republic 11), Vondra, J.(Czech Technical University in Prague, 16636 Prague, Czech Republic 11), Wang, L.(Universität Bochum, Institut für Experimentalphysik, 44780 Bochum, Germany 10 17 17 Supported by EU FP7 (HadronPhysics3, Grant Agreement number 283286).), Weisrock, T.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Wilfert, M.(Universität Mainz, Institut für Kernphysik, 55099 Mainz, Germany 10), Windmolders, R.(Universität Bonn, Physikalisches Institut, 53115 Bonn, Germany 10), Wiślicki, W.(National Centre for Nuclear Research, 00-681 Warsaw, Poland 19 19 Supported by the Polish NCN Grant DEC-2011/01/M/ST2/02350.), Wollny, H.(CEA IRFU/SPhN Saclay, 91191 Gif-sur-Yvette, France 17), Zaremba, K.(Warsaw University of Technology, Institute of Radioelectronics, 00-665 Warsaw, Poland 19), Zavertyaev, M.(Lebedev Physical Institute, 119991 Moscow, Russia), Zemlyanichkina, E.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), Zhuravlev, N.(Joint Institute for Nuclear Research, 141980 Dubna, Moscow Region, Russia 13 13 Supported by CERN-RFBR Grants 08-02-91009 and 12-02-91500.), and Ziembicki, M.(Warsaw University of Technology, Institute of Radioelectronics, 00-665 Warsaw, Poland 19)
- Subjects
GENERALIZED PARTON DISTRIBUTIONS ,SCATTERING ,ddc:530 ,High Energy Physics::Experiment ,VECTOR-MESON ELECTROPRODUCTION ,QCD ,Nuclear Experiment ,Particle Physics - Experiment ,High Energy Physics - Experiment - Abstract
Exclusive production of $\rho^0$ mesons was studied at the COMPASS experiment by scattering 160 GeV/$c$ muons off transversely polarised protons. Five single-spin and three double-spin azimuthal asymmetries were measured as a function of $Q^2$, $x_{Bj}$, or $p_{T}^{2}$. The $\sin \phi_S$ asymmetry is found to be $-0.019 \pm 0.008(stat.) \pm 0.003(syst.)$. All other asymmetries are also found to be of small magnitude and consistent with zero within experimental uncertainties. Very recent calculations using a GPD-based model agree well with the present results. The data is interpreted as evidence for the existence of chiral-odd, transverse generalized parton distributions., Comment: 14 pages, two tables, 5 figures, bibliography updated
- Published
- 2013
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6. Hodgkin's lymphoma and late onset egg allergy: is there a causal relationship?
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G Calado, Graça Loureiro, D Machado, Beatriz Tavares, C Ribeiro, C Chieira, J. C. Cea Pereira, and R. Cunha
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Pulmonary and Respiratory Medicine ,Diet therapy ,Immunology ,Late onset ,immune system diseases ,hemic and lymphatic diseases ,Hipersensibilidade Alimentar ,Immunology and Allergy ,Medicine ,biology ,Angioedema ,business.industry ,General Medicine ,Hipersensibilidade a Ovo ,Hodgkin's lymphoma ,medicine.disease ,Ovalbumin ,Immunization ,Egg allergy ,embryonic structures ,biology.protein ,Linfoma de Hodgkin ,medicine.symptom ,Age of onset ,business - Published
- 2011
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7. Linfedema primario precoz: una entidad a tener en cuenta
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C. Cea Pereiro, M.A. Rodríguez Blanco, S. Dosil Gallardo, N. Carreira Sande, J.M. Martín Morales, and N. González Alonso
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business.industry ,Pediatrics, Perinatology and Child Health ,Medicine ,business ,Humanities ,Pediatrics ,RJ1-570 - Published
- 2010
8. Hydrodynamical instabilities in an expanding quark gluon plasma.
- Author
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C CEA Aguiar, E ESF Fraga, and T TK Kodama
- Published
- 2006
9. Hydrodynamical instabilities in an expanding quark gluon plasma
- Author
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Aguiar, C CEA, Fraga, E ESF, and Kodama, T TK
- Abstract
We study the mechanism responsible for the onset of instabilities in a chiral phase transition at nonzero temperature and baryon chemical potential. As a low-energy effective model, we consider an expanding relativistic plasma of quarks coupled to a chiral field and obtain a phenomenological chiral hydrodynamics from a variational principle. Studying the dispersion relation for small fluctuations around equilibrium, we identify the role played by chiral waves and pressure waves in the generation of instabilities. We show that pressure modes become unstable earlier than chiral modes.
- Published
- 2006
10. SEGMENTATION AND THEMATIC CLASSIFICATION OF COLOR ORTHOPHOTOS OVER NON-COMPRESSED AND JPEG 2000 COMPRESSED IMAGES
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Xavier Pons, Alaitz Zabala, and C. Cea
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Global and Planetary Change ,010504 meteorology & atmospheric sciences ,business.industry ,0211 other engineering and technologies ,Orthophoto ,Confusion matrix ,02 engineering and technology ,computer.file_format ,Management, Monitoring, Policy and Law ,Lossy compression ,01 natural sciences ,Digital image ,Geography ,JPEG 2000 ,RGB color model ,Computer vision ,Segmentation ,Artificial intelligence ,Computers in Earth Sciences ,business ,computer ,Image resolution ,021101 geological & geomatics engineering ,0105 earth and related environmental sciences ,Earth-Surface Processes - Abstract
Lossy compression is now increasingly used due to the enormous amount of images gathered by airborne and satellite sensors. Nevertheless, the implications of these compression procedures have been scarcely assessed. Segmentation before digital image classification is also a technique increasingly used in GEOBIA (GEOgraphic Object-Based Image Analysis). This paper presents an object-oriented application for image analysis using color orthophotos (RGB bands) and a Quickbird image (RGB and a near infrared band). We use different compression levels in order to study the effects of the data loss on the segmentation-based classification results. A set of 4 color orthophotos with 1 m spatial resolution and a 4-band Quickbird satellite image with 0.7 m spatial resolution each covering an area of about 1200 × 1200 m2 (144 ha) was chosen for the experiment. Those scenes were compressed at 8 compression ratios (between 5:1 and 1000:1) using the JPEG 2000 standard. There were 7 thematic categories: dense vegetation, herbaceous, bare lands, road and asphalt areas, building areas, swimming pools and rivers (if necessary). The best category classification was obtained using a hierarchical classification algorithm over the second segmentation level. The same segmentation and classification methods were applied in order to establish a semi-automatic technique for all 40 images. To estimate the overall accuracy, a confusion matrix was calculated using a photointerpreted ground-truth map (fully covering 25% of each orthophoto). The mean accuracy over non-compressed images was 66% for the orthophotos and 72% for the Quickbird image. It is interesting to obtain this medium overall accuracy to be able to properly assess the compression effects (if the initial overall accuracy is very high, the possible positive effects of compression would not be noticeable). The first and second compression levels (up to 10:1) obtain results similar to the reference ones. Differences in the third to fifth levels (20:1 to 100:1) were moderate to large (accuracies 61–58% for orthophotos and 67–65% for Quickbird), while more compressed images obtained the worst results (accuracies lower than 55%). As a comparison, the usual independent test areas (covering a small percentage of the classified area) were also used. The results show that this classification evaluation approach must be used with caution because it may underestimate the classification errors.
11. The high-temperature heat capacity of the (Th,U)O2 and (U,Pu)O2 solid solutions
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Gueneau, C. [CEA, DANS, DPC, SCCME, LM2T, Gif-sur-Yvette Cedex (France)]
- Published
- 2016
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12. Impact of Omega-3 Fatty Acid Supplementation in Parenteral Nutrition on Inflammatory Markers and Clinical Outcomes in Critically Ill COVID-19 Patients: A Randomized Controlled Trial.
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Berlana D, Albertos R, Barquin R, Pau-Parra A, Díez-Poch M, López-Martínez R, Cea C, Cantenys-Molina S, and Ferrer-Costa R
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- Humans, Male, Female, Middle Aged, Double-Blind Method, Aged, Inflammation blood, Intensive Care Units, Treatment Outcome, Interleukin-6 blood, SARS-CoV-2, Length of Stay, Parenteral Nutrition, Fatty Acids, Omega-3 administration & dosage, Critical Illness therapy, COVID-19 blood, COVID-19 therapy, C-Reactive Protein metabolism, C-Reactive Protein analysis, Dietary Supplements, Biomarkers blood
- Abstract
The heightened inflammatory response observed in COVID-19 patients suggests that omega-3 fatty acids (O3FA) may confer anti-inflammatory benefits. This randomized, double-blind, single-center clinical trial aimed to evaluate the effect of O3FA supplementation in parenteral nutrition (PN) on inflammatory markers in COVID-19 patients admitted to the intensive care unit (ICU). A total of 69 patients were randomized into three groups: one received standard lipid emulsion, and two received O3FA (Omegaven
® ) at doses of 0.1 g/kg/day and 0.2 g/kg/day, respectively, in addition to Smoflipid® . The primary outcomes measured were serum levels of C-reactive protein (CRP) and interleukin-6 (IL-6) on days 1, 5, and 10 of PN initiation. Secondary outcomes included additional inflammatory markers (TNF-α, IFN-γ, IL-1Ra, CXCL10), hepatic function, triglyceride levels, and clinical outcomes such as mortality and length of ICU and hospital stay. Results indicated a significant reduction in CRP, IL-6, and CXCL10 levels in the group receiving 0.1 g/kg/day O3FA compared to the control. Additionally, the higher O3FA dose was associated with a shorter ICU and hospital stay. These findings suggest that O3FA supplementation in PN may reduce inflammation and improve clinical outcomes in critically ill COVID-19 patients.- Published
- 2024
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13. Formation of Anisotropic Conducting Interlayer for High-Resolution Epidermal Electromyography Using Mixed-Conducting Particulate Composite.
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Zhao Z, Yu H, Wisniewski DJ, Cea C, Ma L, Trautmann EM, Churchland MM, Gelinas JN, and Khodagholy D
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- Animals, Mice, Anisotropy, Humans, Epidermis physiology, Electrodes, Electric Conductivity, Electromyography methods
- Abstract
Epidermal electrophysiology is a non-invasive method used in research and clinical practices to study the electrical activity of the brain, heart, nerves, and muscles. However, electrode/tissue interlayer materials such as ionically conducting pastes can negatively affect recordings by introducing lateral electrode-to-electrode ionic crosstalk and reducing spatial resolution. To overcome this issue, biocompatible, anisotropic-conducting interlayer composites (ACI) that establish an electrically anisotropic interface with the skin are developed, enabling the application of dense cutaneous sensor arrays. High-density, conformable electrodes are also microfabricated that adhere to the ACI and follow the curvilinear surface of the skin. The results show that ACI significantly enhances the spatial resolution of epidermal electromyography (EMG) recording compared to conductive paste, permitting the acquisition of single muscle action potentials with distinct spatial profiles. The high-density EMG in developing mice, non-human primates, and humans is validated. Overall, high spatial-resolution epidermal electrophysiology enabled by ACI has the potential to advance clinical diagnostics of motor system disorders and enhance data quality for human-computer interface applications., (© 2024 The Authors. Advanced Science published by Wiley‐VCH GmbH.)
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- 2024
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14. Plant electrophysiology with conformable organic electronics: Deciphering the propagation of Venus flytrap action potentials.
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Armada-Moreira A, Dar AM, Zhao Z, Cea C, Gelinas J, Berggren M, Costa A, Khodagholy D, and Stavrinidou E
- Subjects
- Action Potentials, Signal Transduction, Electricity, Cardiac Electrophysiology, Droseraceae physiology
- Abstract
Electrical signals in plants are mediators of long-distance signaling and correlate with plant movements and responses to stress. These signals are studied with single surface electrodes that cannot resolve signal propagation and integration, thus impeding their decoding and link to function. Here, we developed a conformable multielectrode array based on organic electronics for large-scale and high-resolution plant electrophysiology. We performed precise spatiotemporal mapping of the action potential (AP) in Venus flytrap and found that the AP actively propagates through the tissue with constant speed and without strong directionality. We also found that spontaneously generated APs can originate from unstimulated hairs and that they correlate with trap movement. Last, we demonstrate that the Venus flytrap circuitry can be activated by cells other than the sensory hairs. Our work reveals key properties of the AP and establishes the capacity of organic bioelectronics for resolving electrical signaling in plants contributing to the mechanistic understanding of long-distance responses in plants.
- Published
- 2023
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15. Aluminum blood concentration in adult patients: effect of multichamber-bag versus hospital-compounded parenteral nutrition.
- Author
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Berlana D, Pau-Parra A, Albertos R, Cea C, Zabalegui A, Barquin R, Montoro-Ronsano JB, and López-Hellín J
- Subjects
- Humans, Adult, Retrospective Studies, Parenteral Nutrition, Hospitals, Inpatients, Aluminum, Parenteral Nutrition Solutions
- Abstract
Introduction: Background: the administration of aluminum-contaminated parenteral nutrition (PN) leads to an accumulation of aluminum. The aim of this study was to assess blood aluminum concentrations (BACs) of inpatients receiving multichamber-bag (MCB) PN compared to those receiving compounded PN. Methods: available BACs were retrospectively gathered from patient charts of adult inpatients receiving PN from 2015 to 2020, and compared depending on the type of PN administered. Long-term PN patients, defined as ≥ 20 days of PN, receiving at least > 10 days of compounded PN, were compared to long-term patients receiving only MCB. Results: a total of 160 BACs were available from 110 patients. No differences were found according to type of PN (mean BAC: 3.11 ± 2.75 for MCB versus 3.58 ± 2.08 µg/L for compounded PN). Baseline total bilirubin, surgery and days with PN were related to higher BACs (coefficient: 0.30 [95 % CI, 0.18-0.42], 1.29 [95 % CI, 0.52-2.07], and 0.06 [95 % CI: 0.01-0.11], respectively). Regarding long-term PN, patients receiving only MCB (n = 21) showed lower BACs compared to the compounded PN (n = 17) [2.99 ± 1.55 versus 4.35 ± 2.17 µg/L, respectively; p < 0.05]. Conclusions: although there were no differences in BAC according to type of PN administered, in long-term PN, MCB PN was associated with lower BACs as compared to compounded PN.
- Published
- 2023
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16. Complete Chloroplast Genome of an Endophytic Ostreobium sp. (Ostreobiaceae) from the U.S. Virgin Islands.
- Author
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Alesmail M, Becerra Y, Betancourt KJ, Bracy SM, Castro AT, Cea C, Chavez J, Del Angel J, Diaz E, Diaz-Guzman Y, Dominguez J, Estrada JG, Frei LG, Gabrielson PW, Gallardo A, Garcia MR, Gonzalez E, Gonzalez Rocha A, Guzman-Bermudez D, Hebert CR, Hernandez M, Hughey JR, Lee Z, Leyva Romero A, Martinez E, Martinez N, Medina KH, Morales M, Moreno AM, Nava I, Nono AN, Ochoa SA, Perez A, Perez N, Perez Pulido E, Poduska S, Ramirez KN, Reyes D, Richardson K, Rodriguez J, Rodriguez AM, Serrano-Lopez C, Velasquez AG, and Villanueva G
- Abstract
We present the complete chloroplast genome sequence of an endophytic Ostreobium sp. isolated from a 19th-century coralline red algal specimen from St. Croix, U.S. Virgin Islands. The chloroplast genome is 84,848 bp in length, contains 114 genes, and has a high level of gene synteny to other Ostreobiaceae., Competing Interests: The authors declare no conflict of interest.
- Published
- 2023
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17. Detailed stratified GWAS analysis for severe COVID-19 in four European populations.
- Author
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Degenhardt F, Ellinghaus D, Juzenas S, Lerga-Jaso J, Wendorff M, Maya-Miles D, Uellendahl-Werth F, ElAbd H, Rühlemann MC, Arora J, Özer O, Lenning OB, Myhre R, Vadla MS, Wacker EM, Wienbrandt L, Blandino Ortiz A, de Salazar A, Garrido Chercoles A, Palom A, Ruiz A, Garcia-Fernandez AE, Blanco-Grau A, Mantovani A, Zanella A, Holten AR, Mayer A, Bandera A, Cherubini A, Protti A, Aghemo A, Gerussi A, Ramirez A, Braun A, Nebel A, Barreira A, Lleo A, Teles A, Kildal AB, Biondi A, Caballero-Garralda A, Ganna A, Gori A, Glück A, Lind A, Tanck A, Hinney A, Carreras Nolla A, Fracanzani AL, Peschuck A, Cavallero A, Dyrhol-Riise AM, Ruello A, Julià A, Muscatello A, Pesenti A, Voza A, Rando-Segura A, Solier A, Schmidt A, Cortes B, Mateos B, Nafria-Jimenez B, Schaefer B, Jensen B, Bellinghausen C, Maj C, Ferrando C, de la Horra C, Quereda C, Skurk C, Thibeault C, Scollo C, Herr C, Spinner CD, Gassner C, Lange C, Hu C, Paccapelo C, Lehmann C, Angelini C, Cappadona C, Azuure C, Bianco C, Cea C, Sancho C, Hoff DAL, Galimberti D, Prati D, Haschka D, Jiménez D, Pestaña D, Toapanta D, Muñiz-Diaz E, Azzolini E, Sandoval E, Binatti E, Scarpini E, Helbig ET, Casalone E, Urrechaga E, Paraboschi EM, Pontali E, Reverter E, Calderón EJ, Navas E, Solligård E, Contro E, Arana-Arri E, Aziz F, Garcia F, García Sánchez F, Ceriotti F, Martinelli-Boneschi F, Peyvandi F, Kurth F, Blasi F, Malvestiti F, Medrano FJ, Mesonero F, Rodriguez-Frias F, Hanses F, Müller F, Hemmrich-Stanisak G, Bellani G, Grasselli G, Pezzoli G, Costantino G, Albano G, Cardamone G, Bellelli G, Citerio G, Foti G, Lamorte G, Matullo G, Baselli G, Kurihara H, Neb H, My I, Kurth I, Hernández I, Pink I, de Rojas I, Galván-Femenia I, Holter JC, Afset JE, Heyckendorf J, Kässens J, Damås JK, Rybniker J, Altmüller J, Ampuero J, Martín J, Erdmann J, Banales JM, Badia JR, Dopazo J, Schneider J, Bergan J, Barretina J, Walter J, Hernández Quero J, Goikoetxea J, Delgado J, Guerrero JM, Fazaal J, Kraft J, Schröder J, Risnes K, Banasik K, Müller KE, Gaede KI, Garcia-Etxebarria K, Tonby K, Heggelund L, Izquierdo-Sanchez L, Bettini LR, Sumoy L, Sander LE, Lippert LJ, Terranova L, Nkambule L, Knopp L, Gustad LT, Garbarino L, Santoro L, Téllez L, Roade L, Ostadreza M, Intxausti M, Kogevinas M, Riveiro-Barciela M, Berger MM, Schaefer M, Niemi MEK, Gutiérrez-Stampa MA, Carrabba M, Figuera Basso ME, Valsecchi MG, Hernandez-Tejero M, Vehreschild MJGT, Manunta M, Acosta-Herrera M, D'Angiò M, Baldini M, Cazzaniga M, Grimsrud MM, Cornberg M, Nöthen MM, Marquié M, Castoldi M, Cordioli M, Cecconi M, D'Amato M, Augustin M, Tomasi M, Boada M, Dreher M, Seilmaier MJ, Joannidis M, Wittig M, Mazzocco M, Ciccarelli M, Rodríguez-Gandía M, Bocciolone M, Miozzo M, Imaz Ayo N, Blay N, Chueca N, Montano N, Braun N, Ludwig N, Marx N, Martínez N, Cornely OA, Witzke O, Palmieri O, Faverio P, Preatoni P, Bonfanti P, Omodei P, Tentorio P, Castro P, Rodrigues PM, España PP, Hoffmann P, Rosenstiel P, Schommers P, Suwalski P, de Pablo R, Ferrer R, Bals R, Gualtierotti R, Gallego-Durán R, Nieto R, Carpani R, Morilla R, Badalamenti S, Haider S, Ciesek S, May S, Bombace S, Marsal S, Pigazzini S, Klein S, Pelusi S, Wilfling S, Bosari S, Volland S, Brunak S, Raychaudhuri S, Schreiber S, Heilmann-Heimbach S, Aliberti S, Ripke S, Dudman S, Wesse T, Zheng T, Bahmer T, Eggermann T, Illig T, Brenner T, Pumarola T, Feldt T, Folseraas T, Gonzalez Cejudo T, Landmesser U, Protzer U, Hehr U, Rimoldi V, Monzani V, Skogen V, Keitel V, Kopfnagel V, Friaza V, Andrade V, Moreno V, Albrecht W, Peter W, Poller W, Farre X, Yi X, Wang X, Khodamoradi Y, Karadeniz Z, Latiano A, Goerg S, Bacher P, Koehler P, Tran F, Zoller H, Schulte EC, Heidecker B, Ludwig KU, Fernández J, Romero-Gómez M, Albillos A, Invernizzi P, Buti M, Duga S, Bujanda L, Hov JR, Lenz TL, Asselta R, de Cid R, Valenti L, Karlsen TH, Cáceres M, and Franke A
- Subjects
- Humans, SARS-CoV-2 genetics, Genome-Wide Association Study, Haplotypes, Polymorphism, Genetic, COVID-19 genetics
- Abstract
Given the highly variable clinical phenotype of Coronavirus disease 2019 (COVID-19), a deeper analysis of the host genetic contribution to severe COVID-19 is important to improve our understanding of underlying disease mechanisms. Here, we describe an extended genome-wide association meta-analysis of a well-characterized cohort of 3255 COVID-19 patients with respiratory failure and 12 488 population controls from Italy, Spain, Norway and Germany/Austria, including stratified analyses based on age, sex and disease severity, as well as targeted analyses of chromosome Y haplotypes, the human leukocyte antigen region and the SARS-CoV-2 peptidome. By inversion imputation, we traced a reported association at 17q21.31 to a ~0.9-Mb inversion polymorphism that creates two highly differentiated haplotypes and characterized the potential effects of the inversion in detail. Our data, together with the 5th release of summary statistics from the COVID-19 Host Genetics Initiative including non-Caucasian individuals, also identified a new locus at 19q13.33, including NAPSA, a gene which is expressed primarily in alveolar cells responsible for gas exchange in the lung., (© The Author(s) 2022. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com.)
- Published
- 2022
- Full Text
- View/download PDF
18. Translational Organic Neural Interface Devices at Single Neuron Resolution.
- Author
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Hassan AR, Zhao Z, Ferrero JJ, Cea C, Jastrzebska-Perfect P, Myers J, Asman P, Ince NF, McKhann G, Viswanathan A, Sheth SA, Khodagholy D, and Gelinas JN
- Subjects
- Action Potentials physiology, Animals, Brain, Humans, Interneurons, Neurons physiology, Pyramidal Cells
- Abstract
Recording from the human brain at the spatiotemporal resolution of action potentials provides critical insight into mechanisms of higher cognitive functions and neuropsychiatric disease that is challenging to derive from animal models. Here, organic materials and conformable electronics are employed to create an integrated neural interface device compatible with minimally invasive neurosurgical procedures and geared toward chronic implantation on the surface of the human brain. Data generated with these devices enable identification and characterization of individual, spatially distribute human cortical neurons in the absence of any tissue penetration (n = 229 single units). Putative single-units are effectively clustered, and found to possess features characteristic of pyramidal cells and interneurons, as well as identifiable microcircuit interactions. Human neurons exhibit consistent phase modulation by oscillatory activity and a variety of population coupling responses. The parameters are furthermore established to optimize the yield and quality of single-unit activity from the cortical surface, enhancing the ability to investigate human neural network mechanisms without breaching the tissue interface and increasing the information that can be safely derived from neurophysiological monitoring., (© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.)
- Published
- 2022
- Full Text
- View/download PDF
19. Ionic communication for implantable bioelectronics.
- Author
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Zhao Z, Spyropoulos GD, Cea C, Gelinas JN, and Khodagholy D
- Abstract
Implanted bioelectronic devices require data transmission through tissue, but ionic conductivity and inhomogeneity of this medium complicate conventional communication approaches. Here, we introduce ionic communication (IC) that uses ions to effectively propagate megahertz-range signals. We demonstrate that IC operates by generating and sensing electrical potential energy within polarizable media. IC was tuned to transmit across a range of biologically relevant tissue depths. The radius of propagation was controlled to enable multiline parallel communication, and it did not interfere with concurrent use of other bioelectronics. We created a fully implantable IC-based neural interface device that acquired and noninvasively transmitted neurophysiologic data from freely moving rodents over a period of weeks with stability sufficient for isolation of action potentials from individual neurons. IC is a biologically based data communication that establishes long-term, high-fidelity interactions across intact tissue.
- Published
- 2022
- Full Text
- View/download PDF
20. Anisotropic Ion Conducting Particulate Composites for Bioelectronics.
- Author
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Yao DR, Yu H, Rauhala OJ, Cea C, Zhao Z, Gelinas JN, and Khodagholy D
- Subjects
- Anisotropy, Electrons, Humans, Polymers chemistry, Electrolytes chemistry, Transistors, Electronic
- Abstract
Acquisition, processing, and manipulation of biological signals require transistor circuits capable of ion to electron conversion. However, use of this class of transistors in integrated sensors or circuits is limited due to difficulty in patterning biocompatible electrolytes for independent operation of transistors. It is hypothesized that it would be possible to eliminate the need for electrolyte patterning by enabling directional ion conduction as a property of the material serving as electrolyte. Here, the anisotropic ion conductor (AIC) is developed as a soft, biocompatible composite material comprised of ion-conducting particles and an insulating polymer. AIC displays strongly anisotropic ion conduction with vertical conduction comparable to isotropic electrolytes over extended time periods. AIC allows effective hydration of conducting polymers to establish volumetric capacitance, which is critical for the operation of electrochemical transistors. AIC enables dense patterning of transistors with minimal leakage using simple solution-based deposition techniques. Lastly, AIC can be utilized as a dry, anisotropic interface with human skin that is capable of non-invasive acquisition of individual motor action potentials. The properties of AIC position it to enable implementation of a wide range of large-scale organic bioelectronics and enhance their translation to human health applications., (© 2022 The Authors. Advanced Science published by Wiley-VCH GmbH.)
- Published
- 2022
- Full Text
- View/download PDF
21. Moringa oleifera Leaf Supplementation as a Glycemic Control Strategy in Subjects with Prediabetes.
- Author
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Gómez-Martínez S, Díaz-Prieto LE, Vicente Castro I, Jurado C, Iturmendi N, Martín-Ridaura MC, Calle N, Dueñas M, Picón MJ, Marcos A, and Nova E
- Subjects
- Adult, Aged, Appetite drug effects, Blood Glucose metabolism, Dietary Supplements, Double-Blind Method, Female, Glycated Hemoglobin metabolism, Glycemic Control methods, Humans, Hypoglycemic Agents therapeutic use, Male, Middle Aged, Plant Preparations administration & dosage, Plant Preparations pharmacology, Plant Preparations therapeutic use, Powders, Prediabetic State drug therapy, Blood Glucose drug effects, Glycated Hemoglobin drug effects, Hypoglycemic Agents pharmacology, Moringa oleifera, Plant Leaves, Prediabetic State blood
- Abstract
Moringa oleifera (MO) is a multipurpose plant with a high polyphenol content, which is being increasingly consumed to lessen the risk of chronic metabolic diseases such as Type 2 diabetes; however, scientific evidence from clinical trials is scarce. A double-blind, randomized, placebo-controlled, parallel group intervention study with MO leaves as a food supplement was conducted in subjects with prediabetes. They consumed six daily capsules of MO dry leaf powder (2400 mg/day) (MO, n = 31) or placebo (PLC, n = 34) over 12 weeks. Glycemia, appetite-controlling hormones and gut microbiota composition were studied. ANCOVA with the fixed factor "treatment" and the basal value as covariate was used to compare the change score between the groups. The results showed significant differences between groups in the rate of change of fasting blood glucose (FBG) and glycated hemoglobin (HbA1c), which showed opposite directions during the intervention, decreasing in MO and increasing in PLC. No different change scores were found between the groups in microbiota, hepatic and renal function markers or the appetite-controlling hormones measured. In conclusion, MO supplementation resulted in favorable changes in glycaemia markers compared to placebo in the subjects with prediabetes studied, suggesting that MO might act as a natural antihyperglycemic agent.
- Published
- 2021
- Full Text
- View/download PDF
22. A transient postnatal quiescent period precedes emergence of mature cortical dynamics.
- Author
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Domínguez S, Ma L, Yu H, Pouchelon G, Mayer C, Spyropoulos GD, Cea C, Buzsáki G, Fishell G, Khodagholy D, and Gelinas JN
- Subjects
- Age Factors, Animals, Biological Evolution, Genetic Variation, Mice, Species Specificity, Mammals physiology, Nerve Net physiology, Neurogenesis genetics, Neuronal Plasticity physiology, Phylogeny
- Abstract
Mature neural networks synchronize and integrate spatiotemporal activity patterns to support cognition. Emergence of these activity patterns and functions is believed to be developmentally regulated, but the postnatal time course for neural networks to perform complex computations remains unknown. We investigate the progression of large-scale synaptic and cellular activity patterns across development using high spatiotemporal resolution in vivo electrophysiology in immature mice. We reveal that mature cortical processes emerge rapidly and simultaneously after a discrete but volatile transition period at the beginning of the second postnatal week of rodent development. The transition is characterized by relative neural quiescence, after which spatially distributed, temporally precise, and internally organized activity occurs. We demonstrate a similar developmental trajectory in humans, suggesting an evolutionarily conserved mechanism that could facilitate a transition in network operation. We hypothesize that this transient quiescent period is a requisite for the subsequent emergence of coordinated cortical networks., Competing Interests: SD, LM, HY, GP, CM, GS, CC, GB, GF, DK, JG No competing interests declared, (© 2021, Domínguez et al.)
- Published
- 2021
- Full Text
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23. Responsive manipulation of neural circuit pathology by fully implantable, front-end multiplexed embedded neuroelectronics.
- Author
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Zhao Z, Cea C, Gelinas JN, and Khodagholy D
- Subjects
- Amplifiers, Electronic, Animals, Electric Stimulation methods, Equipment Design, Rats, Rats, Long-Evans, Action Potentials physiology, Cerebral Cortex physiology, Electrodes, Implanted, Hippocampus physiology, Nerve Net physiology
- Abstract
Responsive neurostimulation is increasingly required to probe neural circuit function and treat neuropsychiatric disorders. We introduce a multiplex-then-amplify (MTA) scheme that, in contrast to current approaches (which necessitate an equal number of amplifiers as number of channels), only requires one amplifier per multiplexer, significantly reducing the number of components and the size of electronics in multichannel acquisition systems. It also enables simultaneous stimulation of arbitrary waveforms on multiple independent channels. We validated the function of MTA by developing a fully implantable, responsive embedded system that merges the ability to acquire individual neural action potentials using conformable conducting polymer-based electrodes with real-time onboard processing, low-latency arbitrary waveform stimulation, and local data storage within a miniaturized physical footprint. We verified established responsive neurostimulation protocols and developed a network intervention to suppress pathological coupling between the hippocampus and cortex during interictal epileptiform discharges. The MTA design enables effective, self-contained, chronic neural network manipulation with translational relevance to the treatment of neuropsychiatric disease., Competing Interests: The authors declare no competing interest., (Copyright © 2021 the Author(s). Published by PNAS.)
- Published
- 2021
- Full Text
- View/download PDF
24. Biomarkers in Fabry Disease. Implications for Clinical Diagnosis and Follow-up.
- Author
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Carnicer-Cáceres C, Arranz-Amo JA, Cea-Arestin C, Camprodon-Gomez M, Moreno-Martinez D, Lucas-Del-Pozo S, Moltó-Abad M, Tigri-Santiña A, Agraz-Pamplona I, Rodriguez-Palomares JF, Hernández-Vara J, Armengol-Bellapart M, Del-Toro-Riera M, and Pintos-Morell G
- Abstract
Fabry disease (FD) is a lysosomal storage disorder caused by deficient alpha-galactosidase A activity in the lysosome due to mutations in the GLA gene, resulting in gradual accumulation of globotriaosylceramide and other derivatives in different tissues. Substrate accumulation promotes different pathogenic mechanisms in which several mediators could be implicated, inducing multiorgan lesions, mainly in the kidney, heart and nervous system, resulting in clinical manifestations of the disease. Enzyme replacement therapy was shown to delay disease progression, mainly if initiated early. However, a diagnosis in the early stages represents a clinical challenge, especially in patients with a non-classic phenotype, which prompts the search for biomarkers that help detect and predict the evolution of the disease. We have reviewed the mediators involved in different pathogenic mechanisms that were studied as potential biomarkers and can be easily incorporated into clinical practice. Some accumulation biomarkers seem to be useful to detect non-classic forms of the disease and could even improve diagnosis of female patients. The combination of such biomarkers with some response biomarkers, may be useful for early detection of organ injury. The incorporation of some biomarkers into clinical practice may increase the capacity of detection compared to that currently obtained with the established diagnostic markers and provide more information on the progression and prognosis of the disease.
- Published
- 2021
- Full Text
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25. Mixed-conducting particulate composites for soft electronics.
- Author
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Jastrzebska-Perfect P, Spyropoulos GD, Cea C, Zhao Z, Rauhala OJ, Viswanathan A, Sheth SA, Gelinas JN, and Khodagholy D
- Abstract
Bioelectronic devices should optimally merge a soft, biocompatible tissue interface with capacity for local, advanced signal processing. Here, we introduce an organic mixed-conducting particulate composite material (MCP) that can form functional electronic components by varying particle size and density. We created MCP-based high-performance anisotropic films, independently addressable transistors, resistors, and diodes that are pattern free, scalable, and biocompatible. MCP enabled facile and effective electronic bonding between soft and rigid electronics, permitting recording of neurophysiological data at the resolution of individual neurons from freely moving rodents and from the surface of the human brain through a small opening in the skull. We also noninvasively acquired high-spatiotemporal resolution electrophysiological signals by directly interfacing MCP with human skin. MCP provides a single-material solution to facilitate development of bioelectronic devices that can safely acquire, transmit, and process complex biological signals., (Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).)
- Published
- 2020
- Full Text
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26. Structural and Functional Abnormalities in the Olfactory System of Fragile X Syndrome Models.
- Author
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Bodaleo F, Tapia-Monsalves C, Cea-Del Rio C, Gonzalez-Billault C, and Nunez-Parra A
- Abstract
Fragile X Syndrome (FXS) is the most common inherited form of intellectual disability. It is produced by mutation of the Fmr1 gene that encodes for the Fragile Mental Retardation Protein (FMRP), an important RNA-binding protein that regulates the expression of multiple proteins located in neuronal synapses. Individuals with FXS exhibit abnormal sensory information processing frequently leading to hypersensitivity across sensory modalities and consequently a wide array of behavioral symptoms. Insects and mammals engage primarily their sense of smell to create proper representations of the external world and guide adequate decision-making processes. This feature in combination with the exquisitely organized neuronal circuits found throughout the olfactory system (OS) and the wide expression of FMRP in brain regions that process olfactory information makes it an ideal model to study sensory alterations in FXS models. In the last decade several groups have taken advantage of these features and have used the OS of fruit fly and rodents to understand neuronal alteration giving rise to sensory perception issues. In this review article, we will discuss molecular, morphological and physiological aspects of the olfactory information processing in FXS models. We will highlight the decreased inhibitory/excitatory synaptic balance and the diminished synaptic plasticity found in this system resulting in behavioral alteration of individuals in the presence of odorant stimuli.
- Published
- 2019
- Full Text
- View/download PDF
27. CAP-Gly proteins contribute to microtubule-dependent trafficking via interactions with the C-terminal aromatic residue of α-tubulin.
- Author
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Andrieux A, Aubry L, and Boscheron C
- Subjects
- Animals, Biological Transport, Humans, Microtubule-Associated Proteins metabolism, Microtubules metabolism, Tubulin chemistry, Tubulin metabolism
- Abstract
In mammals, the C-terminal tyrosine residue of α-tubulin is subjected to removal/re-addition cycles resulting in tyrosinated microtubules and detyrosinated Glu-microtubules. CLIP170 and its yeast ortholog (Bik1) interact weakly with Glu-microtubules. Recently, we described a Microtubule- Rho1- and Bik1-dependent mechanism involved in Snc1 routing. Here, we further show a contribution of the yeast p150Glued ortholog (Nip100) in Snc1 trafficking. Both CLIP170 and p150Glued are CAP-Gly-containing proteins that belong to the microtubule +end-tracking protein family (known as +Tips). We discuss the +Tips-dependent role of microtubules in trafficking, the role of CAP-Gly proteins as possible molecular links between microtubules and vesicles, as well as the contribution of the Rho1-GTPase to the regulation of the +Tips repertoire and the partners associated with microtubules.
- Published
- 2019
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28. Kinetics, molecular basis, and differentiation of L-lactate transport in spermatogenic cells.
- Author
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Brauchi S, Rauch MC, Alfaro IE, Cea C, Concha II, Benos DJ, and Reyes JG
- Subjects
- Animals, Biological Transport physiology, Hydrogen-Ion Concentration, In Situ Hybridization, Male, Monocarboxylic Acid Transporters genetics, Protein Isoforms genetics, Rats, Rats, Sprague-Dawley, Sertoli Cells cytology, Spermatids cytology, Spermatids metabolism, Testis cytology, Testis metabolism, Lactic Acid metabolism, Monocarboxylic Acid Transporters metabolism, Protein Isoforms metabolism, Sertoli Cells metabolism, Spermatogenesis physiology
- Abstract
Round spermatid energy metabolism is closely dependent on the presence of L-lactate in the external medium. This L-lactate has been proposed to be supplied by Sertoli cells in the seminiferous tubules. L-Lactate, in conjunction with glucose, modulates intracellular Ca(2+) concentration in round spermatids and pachytene spermatocytes. In spite of this central role of L-lactate in spermatogenic cell physiology, the mechanism of L-lactate transport, as well as possible differentiation during spermatogenesis, has not been studied in these cells. By measuring radioactive L-lactate transport and intracellular pH (pH(i)) changes with pH(i) fluorescent probes, we show that these cells transport L-lactate using monocarboxylate-H(+) transport (MCT) systems. RT-PCR, in situ mRNA hybridization, and immunocyto- and immunohistochemistry data show that pachytene spermatocytes express mainly the MCT1 and MCT4 isoforms of the transporter (intermediate- and low-affinity transporters, respectively), while round spermatids, besides MCT1 and MCT4, also show expression of the MCT2 isoform (high-affinity transporter). These molecular data are consistent with the kinetic data of L-lactate transport in these cells demonstrating at least two transport components for L-lactate. These separate transport components reflect the ability of these cells to switch between the generation of glycolytic L-lactate in the presence of external glucose and the use of L-lactate when this substrate is available in the external environment. The supply of these substrates is regulated by the hormonal control of Sertoli cell glycolytic activity.
- Published
- 2005
- Full Text
- View/download PDF
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