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6,213 results on '"Alexander, James"'

3. References

Author

Alexander, James

Published
2023

4. Index

Author

Alexander, James

Published
2023

5. Cover

Author

Alexander, James

Published
2023

16. The PLATO Mission

Author

Rauer, Heike, Aerts, Conny, Cabrera, Juan, Deleuil, Magali, Erikson, Anders, Gizon, Laurent, Goupil, Mariejo, Heras, Ana, Lorenzo-Alvarez, Jose, Marliani, Filippo, Martin-Garcia, Cesar, Mas-Hesse, J. Miguel, O'Rourke, Laurence, Osborn, Hugh, Pagano, Isabella, Piotto, Giampaolo, Pollacco, Don, Ragazzoni, Roberto, Ramsay, Gavin, Udry, Stéphane, Appourchaux, Thierry, Benz, Willy, Brandeker, Alexis, Güdel, Manuel, Janot-Pacheco, Eduardo, Kabath, Petr, Kjeldsen, Hans, Min, Michiel, Santos, Nuno, Smith, Alan, Suarez, Juan-Carlos, Werner, Stephanie C., Aboudan, Alessio, Abreu, Manuel, Acuña, Lorena, Adams, Moritz, Adibekyan, Vardan, Affer, Laura, Agneray, François, Agnor, Craig, Børsen-Koch, Victor Aguirre, Ahmed, Saad, Aigrain, Suzanne, Al-Bahlawan, Ashraf, Gil, M de los Angeles Alcacera, Alei, Eleonora, Alencar, Silvia, Alexander, Richard, Alfonso-Garzón, Julia, Alibert, Yann, Prieto, Carlos Allende, Almeida, Leonardo, Sobrino, Roi Alonso, Altavilla, Giuseppe, Althaus, Christian, Trujillo, Luis Alonso Alvarez, Amarsi, Anish, Eiff, Matthias Ammler-von, Amôres, Eduardo, Andrade, Laerte, Antoniadis-Karnavas, Alexandros, António, Carlos, del Moral, Beatriz Aparicio, Appolloni, Matteo, Arena, Claudio, Armstrong, David, Aliaga, Jose Aroca, Asplund, Martin, Audenaert, Jeroen, Auricchio, Natalia, Avelino, Pedro, Baeke, Ann, Baillié, Kevin, Balado, Ana, Balestra, Andrea, Ball, Warrick, Ballans, Herve, Ballot, Jerome, Barban, Caroline, Barbary, Gaële, Barbieri, Mauro, Forteza, Sebastià Barceló, Barker, Adrian, Barklem, Paul, Barnes, Sydney, Navascues, David Barrado, Barragan, Oscar, Baruteau, Clément, Basu, Sarbani, Baudin, Frederic, Baumeister, Philipp, Bayliss, Daniel, Bazot, Michael, Beck, Paul G., Bedding, Tim, Belkacem, Kevin, Bellinger, Earl, Benatti, Serena, Benomar, Othman, Bérard, Diane, Bergemann, Maria, Bergomi, Maria, Bernardo, Pierre, Biazzo, Katia, Bignamini, Andrea, Bigot, Lionel, Billot, Nicolas, Binet, Martin, Biondi, David, Biondi, Federico, Birch, Aaron C., Bitsch, Bertram, Ceballos, Paz Victoria Bluhm, Bódi, Attila, Bognár, Zsófia, Boisse, Isabelle, Bolmont, Emeline, Bonanno, Alfio, Bonavita, Mariangela, Bonfanti, Andrea, Bonfils, Xavier, Bonito, Rosaria, Bonomo, Aldo Stefano, Börner, Anko, Saikia, Sudeshna Boro, Martín, Elisa Borreguero, Borsa, Francesco, Borsato, Luca, Bossini, Diego, Bouchy, Francois, Boué, Gwenaël, Boufleur, Rodrigo, Boumier, Patrick, Bourrier, Vincent, Bowman, Dominic M., Bozzo, Enrico, Bradley, Louisa, Bray, John, Bressan, Alessandro, Breton, Sylvain, Brienza, Daniele, Brito, Ana, Brogi, Matteo, Brown, Beverly, Brown, David, Brun, Allan Sacha, Bruno, Giovanni, Bruns, Michael, Buchhave, Lars A., Bugnet, Lisa, Buldgen, Gaël, Burgess, Patrick, Busatta, Andrea, Busso, Giorgia, Buzasi, Derek, Caballero, José A., Cabral, Alexandre, Calderone, Flavia, Cameron, Robert, Cameron, Andrew, Campante, Tiago, Martins, Bruno Leonardo Canto, Cara, Christophe, Carone, Ludmila, Carrasco, Josep Manel, Casagrande, Luca, Casewell, Sarah L., Cassisi, Santi, Castellani, Marco, Castro, Matthieu, Catala, Claude, Fernández, Irene Catalán, Catelan, Márcio, Cegla, Heather, Cerruti, Chiara, Cessa, Virginie, Chadid, Merieme, Chaplin, William, Charpinet, Stephane, Chiappini, Cristina, Chiarucci, Simone, Chiavassa, Andrea, Chinellato, Simonetta, Chirulli, Giovanni, Christensen-Dalsgaard, Jorgen, Church, Ross, Claret, Antonio, Clarke, Cathie, Claudi, Riccardo, Clermont, Lionel, Coelho, Hugo, Coelho, Joao, Cogato, Fabrizio, Colomé, Josep, Condamin, Mathieu, Conseil, Simon, Corbard, Thierry, Correia, Alexandre C. M., Corsaro, Enrico, Cosentino, Rosario, Costes, Jean, Cottinelli, Andrea, Covone, Giovanni, Creevey, Orlagh L., Crida, Aurelien, Csizmadia, Szilard, Cunha, Margarida, Curry, Patrick, da Costa, Jefferson, da Silva, Francys, Dalal, Shweta, Damasso, Mario, Damiani, Cilia, Damiani, Francesco, Chagas, Maria Liduina das, Davies, Melvyn, Davies, Guy, Davies, Ben, Davison, Gary, de Almeida, Leandro, de Angeli, Francesca, de Barros, Susana Cristina Cabral, Leão, Izan de Castro, de Freitas, Daniel Brito, de Freitas, Marcia Cristina, De Martino, Domitilla, de Medeiros, José Renan, de Paula, Luiz Alberto, de Plaa, Jelle, De Ridder, Joris, Deal, Morgan, Decin, Leen, Deeg, Hans, Degl'Innocenti, Scilla, Deheuvels, Sebastien, del Burgo, Carlos, Del Sordo, Fabio, Delgado-Mena, Elisa, Demangeon, Olivier, Denk, Tilmann, Derekas, Aliz, Desidera, Silvano, Dexet, Marc, Di Criscienzo, Marcella, Di Giorgio, Anna Maria, Di Mauro, Maria Pia, Rial, Federico Jose Diaz, Díaz-García, José-Javier, Dima, Marco, Dinuzzi, Giacomo, Dionatos, Odysseas, Distefano, Elisa, Nascimento Jr., Jose-Dias do, Domingo, Albert, D'Orazi, Valentina, Dorn, Caroline, Doyle, Lauren, Duarte, Elena, Ducellier, Florent, Dumaye, Luc, Dumusque, Xavier, Dupret, Marc-Antoine, Eggenberger, Patrick, Ehrenreich, David, Eigmüller, Philipp, Eising, Johannes, Emilio, Marcelo, Eriksson, Kjell, Ermocida, Marco, Giribaldi, Riano Isidoro Escate, Eschen, Yoshi, Estrela, Inês, Evans, Dafydd Wyn, Fabbian, Damian, Fabrizio, Michele, Faria, João Pedro, Farina, Maria, Farinato, Jacopo, Feliz, Dax, Feltzing, Sofia, Fenouillet, Thomas, Ferrari, Lorenza, Ferraz-Mello, Sylvio, Fialho, Fabio, Fienga, Agnes, Figueira, Pedro, Fiori, Laura, Flaccomio, Ettore, Focardi, Mauro, Foley, Steve, Fontignie, Jean, Ford, Dominic, Fornazier, Karin, Forveille, Thierry, Fossati, Luca, Franca, Rodrigo de Marca, da Silva, Lucas Franco, Frasca, Antonio, Fridlund, Malcolm, Furlan, Marco, Gabler, Sarah-Maria, Gaido, Marco, Gallagher, Andrew, Galli, Emanuele, Garcia, Rafael A., Hernández, Antonio García, Munoz, Antonio Garcia, García-Vázquez, Hugo, Haba, Rafael Garrido, Gaulme, Patrick, Gauthier, Nicolas, Gehan, Charlotte, Gent, Matthew, Georgieva, Iskra, Ghigo, Mauro, Giana, Edoardo, Gill, Samuel, Girardi, Leo, Winter, Silvia Giuliatti, Giusi, Giovanni, da Silva, João Gomes, Zazo, Luis Jorge Gómez, Gomez-Lopez, Juan Manuel, Hernández, Jonay Isai González, Murillo, Kevin Gonzalez, Gorius, Nicolas, Gouel, Pierre-Vincent, Goulty, Duncan, Granata, Valentina, Grenfell, John Lee, Grießbach, Denis, Grolleau, Emmanuel, Grouffal, Salomé, Grziwa, Sascha, Guarcello, Mario Giuseppe, Gueguen, Loïc, Guenther, Eike Wolf, Guilhem, Terrasa, Guillerot, Lucas, Guiot, Pierre, Guterman, Pascal, Gutiérrez, Antonio, Gutiérrez-Canales, Fernando, Hagelberg, Janis, Haldemann, Jonas, Hall, Cassandra, Handberg, Rasmus, Harrison, Ian, Harrison, Diana L., Hasiba, Johann, Haswell, Carole A., Hatalova, Petra, Hatzes, Artie, Haywood, Raphaelle, Hébrard, Guillaume, Heckes, Frank, Heiter, Ulrike, Hekker, Saskia, Heller, René, Helling, Christiane, Helminiak, Krzysztof, Hemsley, Simon, Heng, Kevin, Hermans, Aline, Hermes, JJ, Torres, Nadia Hidalgo, Hinkel, Natalie, Hobbs, David, Hodgkin, Simon, Hofmann, Karl, Hojjatpanah, Saeed, Houdek, Günter, Huber, Daniel, Huesler, Joseph, Hui-Bon-Hoa, Alain, Huygen, Rik, Huynh, Duc-Dat, Iro, Nicolas, Irwin, Jonathan, Irwin, Mike, Izidoro, André, Jacquinod, Sophie, Jannsen, Nicholas Emborg, Janson, Markus, Jeszenszky, Harald, Jiang, Chen, Mancebo, Antonio José Jimenez, Jofre, Paula, Johansen, Anders, Johnston, Cole, Jones, Geraint, Kallinger, Thomas, Kálmán, Szilárd, Kanitz, Thomas, Karjalainen, Marie, Karjalainen, Raine, Karoff, Christoffer, Kawaler, Steven, Kawata, Daisuke, Keereman, Arnoud, Keiderling, David, Kennedy, Tom, Kenworthy, Matthew, Kerschbaum, Franz, Kidger, Mark, Kiefer, Flavien, Kintziger, Christian, Kislyakova, Kristina, Kiss, László, Klagyivik, Peter, Klahr, Hubert, Klevas, Jonas, Kochukhov, Oleg, Köhler, Ulrich, Kolb, Ulrich, Koncz, Alexander, Korth, Judith, Kostogryz, Nadiia, Kovács, Gábor, Kovács, József, Kozhura, Oleg, Krivova, Natalie, Kučinskas, Arunas, Kuhlemann, Ilyas, Kupka, Friedrich, Laauwen, Wouter, Labiano, Alvaro, Lagarde, Nadege, Laget, Philippe, Laky, Gunter, Lam, Kristine Wai Fun, Lambrechts, Michiel, Lammer, Helmut, Lanza, Antonino Francesco, Lanzafame, Alessandro, Martiz, Mariel Lares, Laskar, Jacques, Latter, Henrik, Lavanant, Tony, Lawrenson, Alastair, Lazzoni, Cecilia, Lebre, Agnes, Lebreton, Yveline, Etangs, Alain Lecavelier des, Leinhardt, Zoe, Leleu, Adrien, Lendl, Monika, Leto, Giuseppe, Levillain, Yves, Libert, Anne-Sophie, Lichtenberg, Tim, Ligi, Roxanne, Lignieres, Francois, Lillo-Box, Jorge, Linsky, Jeffrey, Liu, John Scige, Loidolt, Dominik, Longval, Yuying, Lopes, Ilídio, Lorenzani, Andrea, Ludwig, Hans-Guenter, Lund, Mikkel, Lundkvist, Mia Sloth, Luri, Xavier, Maceroni, Carla, Madden, Sean, Madhusudhan, Nikku, Maggio, Antonio, Magliano, Christian, Magrin, Demetrio, Mahy, Laurent, Maibaum, Olaf, Malac-Allain, LeeRoy, Malapert, Jean-Christophe, Malavolta, Luca, Maldonado, Jesus, Mamonova, Elena, Manchon, Louis, Mann, Andrew, Mantovan, Giacomo, Marafatto, Luca, Marconi, Marcella, Mardling, Rosemary, Marigo, Paola, Marinoni, Silvia, Marques, Érico, Marques, Joao Pedro, Marrese, Paola Maria, Marshall, Douglas, Perales, Silvia Martínez, Mary, David, Marzari, Francesco, Masana, Eduard, Mascher, Andrina, Mathis, Stéphane, Mathur, Savita, Figueiredo, Ana Carolina Mattiuci, Maxted, Pierre F. L., Mazeh, Tsevi, Mazevet, Stephane, Mazzei, Francesco, McCormac, James, McMillan, Paul, Menou, Lucas, Merle, Thibault, Meru, Farzana, Mesa, Dino, Messina, Sergio, Mészáros, Szabolcs, Meunier, Nadége, Meunier, Jean-Charles, Micela, Giuseppina, Michaelis, Harald, Michel, Eric, Michielsen, Mathias, Michtchenko, Tatiana, Miglio, Andrea, Miguel, Yamila, Milligan, David, Mirouh, Giovanni, Mitchell, Morgan, Moedas, Nuno, Molendini, Francesca, Molnár, László, Mombarg, Joey, Montalban, Josefina, Montalto, Marco, Monteiro, Mário J. P. F. G., Morales, Juan Carlos, Morales-Calderon, Maria, Morbidelli, Alessandro, Mordasini, Christoph, Moreau, Chrystel, Morel, Thierry, Morello, Guiseppe, Morin, Julien, Mortier, Annelies, Mosser, Benoît, Mourard, Denis, Mousis, Olivier, Moutou, Claire, Mowlavi, Nami, Moya, Andrés, Muehlmann, Prisca, Muirhead, Philip, Munari, Matteo, Musella, Ilaria, Mustill, Alexander James, Nardetto, Nicolas, Nardiello, Domenico, Narita, Norio, Nascimbeni, Valerio, Nash, Anna, Neiner, Coralie, Nelson, Richard P., Nettelmann, Nadine, Nicolini, Gianalfredo, Nielsen, Martin, Niemi, Sami-Matias, Noack, Lena, Noels-Grotsch, Arlette, Noll, Anthony, Norazman, Azib, Norton, Andrew J., Nsamba, Benard, Ofir, Aviv, Ogilvie, Gordon, Olander, Terese, Olivetto, Christian, Olofsson, Göran, Ong, Joel, Ortolani, Sergio, Oshagh, Mahmoudreza, Ottacher, Harald, Ottensamer, Roland, Ouazzani, Rhita-Maria, Paardekooper, Sijme-Jan, Pace, Emanuele, Pajas, Miriam, Palacios, Ana, Palandri, Gaelle, Palle, Enric, Paproth, Carsten, Parro, Vanderlei, Parviainen, Hannu, Granado, Javier Pascual, Passegger, Vera Maria, Pastor-Morales, Carmen, Pätzold, Martin, Pedersen, May Gade, Hidalgo, David Pena, Pepe, Francesco, Pereira, Filipe, Persson, Carina M., Pertenais, Martin, Peter, Gisbert, Petit, Antoine C., Petit, Pascal, Pezzuto, Stefano, Pichierri, Gabriele, Pietrinferni, Adriano, Pinheiro, Fernando, Pinsonneault, Marc, Plachy, Emese, Plasson, Philippe, Plez, Bertrand, Poppenhaeger, Katja, Poretti, Ennio, Portaluri, Elisa, Portell, Jordi, de Mello, Gustavo Frederico Porto, Poyatos, Julien, Pozuelos, Francisco J., Moroni, Pier Giorgio Prada, Pricopi, Dumitru, Prisinzano, Loredana, Quade, Matthias, Quirrenbach160, ndreas, Reina6, Julio Arturo Rabanal, Soares, Maria Cristina Rabello, Raimondo, Gabriella, Rainer, Monica, Rodón, Jose Ramón, Ramón-Ballesta, Alejandro, Zapata, Gonzalo Ramos, Rätz, Stefanie, Rauterberg, Christoph, Redman, Bob, Redmer, Ronald, Reese, Daniel, Regibo, Sara, Reiners, Ansgar, Reinhold, Timo, Renie, Christian, Ribas, Ignasi, Ribeiro, Sergio, Ricciardi, Thiago Pereira, Rice, Ken, Richard, Olivier, Riello, Marco, Rieutord, Michel, Ripepi, Vincenzo, Rixon, Guy, Rockstein, Steve, Rodríguez, María Teresa Rodrigo, Díaz, Luisa Fernanda Rodríguez, Garcia, Juan Pablo Rodriguez, Rodriguez-Gomez, Julio, Roehlly, Yannick, Roig, Fernando, Rojas-Ayala, Bárbara, Rolf, Tobias, Rørsted, Jakob Lysgaard, Rosado, Hugo, Rosotti, Giovanni, Roth, Olivier, Roth, Markus, Rousseau, Alex, Roxburgh, Ian, Roy, Fabrice, Royer, Pierre, Ruane, Kirk, Mastropasqua, Sergio Rufini, de Galarreta, Claudia Ruiz, Russi, Andrea, Saar, Steven, Saillenfest, Melaine, Salaris, Maurizio, Salmon, Sebastien, Saltas, Ippocratis, Samadi, Réza, Samadi, Aunia, Samra, Dominic, da Silva, Tiago Sanches, Carrasco, Miguel Andrés Sánchez, Santerne, Alexandre, Santoli, Francesco, Santos, Ângela R. G., Mesa, Rosario Sanz, Sarro, Luis Manuel, Scandariato, Gaetano, Schäfer, Martin, Schlafly, Edward, Schmider, François-Xavier, Schneider, Jean, Schou, Jesper, Schunker, Hannah, Schwarzkopf, Gabriel Jörg, Serenelli, Aldo, Seynaeve, Dries, Shan, Yutong, Shapiro, Alexander, Shipman, Russel, Sicilia, Daniela, Sanmartin, Maria Angeles Sierra, Sigot, Axelle, Silliman, Kyle, Silvotti, Roberto, Simon, Attila E., Napoli, Ricardo Simoyama, Skarka, Marek, Smalley, Barry, Smiljanic, Rodolfo, Smit, Samuel, Smith, Alexis, Smith, Leigh, Snellen, Ignas, Sódor, Ádám, Sohl, Frank, Solanki, Sami K., Sortino, Francesca, Sousa, Sérgio, Southworth, John, Souto, Diogo, Sozzetti, Alessandro, Stamatellos, Dimitris, Stassun, Keivan, Steller, Manfred, Stello, Dennis, Stelzer, Beate, Stiebeler, Ulrike, Stokholm, Amalie, Storelvmo, Trude, Strassmeier, Klaus, Strøm, Paul Anthony, Strugarek, Antoine, Sulis, Sophia, Švanda, Michal, Szabados, László, Szabó, Róbert, Szabó, Gyula M., Szuszkiewicz, Ewa, Talens, Geert Jan, Teti, Daniele, Theisen, Tom, Thévenin, Frédéric, Thoul, Anne, Tiphene, Didier, Titz-Weider, Ruth, Tkachenko, Andrew, Tomecki, Daniel, Tonfat, Jorge, Tosi, Nicola, Trampedach, Regner, Traven, Gregor, Triaud, Amaury, Trønnes, Reidar, Tsantaki, Maria, Tschentscher, Matthias, Turin, Arnaud, Tvaruzka, Adam, Ulmer, Bernd, Ulmer-Moll, Solène, Ulusoy, Ceren, Umbriaco, Gabriele, Valencia, Diana, Valentini, Marica, Valio, Adriana, Guijarro, Ángel Luis Valverde, Van Eylen, Vincent, Van Grootel, Valerie, van Kempen, Tim A., Van Reeth, Timothy, Van Zelst, Iris, Vandenbussche, Bart, Vasiliou, Konstantinos, Vasilyev, Valeriy, de Mascarenhas, David Vaz, Vazan, Allona, Nunez, Marina Vela, Velloso, Eduardo Nunes, Ventura, Rita, Ventura, Paolo, Venturini, Julia, Trallero, Isabel Vera, Veras, Dimitri, Verdugo, Eva, Verma, Kuldeep, Vibert, Didier, Martinez, Tobias Vicanek, Vida, Krisztián, Vigan, Arthur, Villacorta, Antonio, Villaver, Eva, Aparicio, Marcos Villaverde, Viotto, Valentina, Vorobyov, Eduard, Vorontsov, Sergey, Wagner, Frank W., Walloschek, Thomas, Walton, Nicholas, Walton, Dave, Wang, Haiyang, Waters, Rens, Watson, Christopher, Wedemeyer, Sven, Weeks, Angharad, Weingril, Jörg, Weiss, Annita, Wendler, Belinda, West, Richard, Westerdorff, Karsten, Westphal, Pierre-Amaury, Wheatley, Peter, White, Tim, Whittaker, Amadou, Wickhusen, Kai, Wilson, Thomas, Windsor, James, Winter, Othon, Winther, Mark Lykke, Winton, Alistair, Witteck, Ulrike, Witzke, Veronika, Woitke, Peter, Wolter, David, Wuchterl, Günther, Wyatt, Mark, Yang, Dan, Yu, Jie, Sanchez, Ricardo Zanmar, Osorio, María Rosa Zapatero, Zechmeister, Mathias, Zhou, Yixiao, Ziemke, Claas, and Zwintz, Konstanze

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - Earth and Planetary Astrophysics, Astrophysics - Solar and Stellar Astrophysics
Abstract

PLATO (PLAnetary Transits and Oscillations of stars) is ESA's M3 mission designed to detect and characterise extrasolar planets and perform asteroseismic monitoring of a large number of stars. PLATO will detect small planets (down to <2 R_(Earth)) around bright stars (<11 mag), including terrestrial planets in the habitable zone of solar-like stars. With the complement of radial velocity observations from the ground, planets will be characterised for their radius, mass, and age with high accuracy (5 %, 10 %, 10 % for an Earth-Sun combination respectively). PLATO will provide us with a large-scale catalogue of well-characterised small planets up to intermediate orbital periods, relevant for a meaningful comparison to planet formation theories and to better understand planet evolution. It will make possible comparative exoplanetology to place our Solar System planets in a broader context. In parallel, PLATO will study (host) stars using asteroseismology, allowing us to determine the stellar properties with high accuracy, substantially enhancing our knowledge of stellar structure and evolution. The payload instrument consists of 26 cameras with 12cm aperture each. For at least four years, the mission will perform high-precision photometric measurements. Here we review the science objectives, present PLATO's target samples and fields, provide an overview of expected core science performance as well as a description of the instrument and the mission profile at the beginning of the serial production of the flight cameras. PLATO is scheduled for a launch date end 2026. This overview therefore provides a summary of the mission to the community in preparation of the upcoming operational phases.

Published
2024

18. Channel Estimation for Reconfigurable Intelligent Surface MIMO with Tensor Signal Modelling

Author

Fernandes, Alexander James and Psaromiligkos, Ioannis

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

We consider a narrowband MIMO reconfigurable intelligent surface (RIS)-assisted wireless communication system and use tensor signal modelling techniques to individually estimate all communication channels including the non-RIS channels (direct path) and decoupled RIS channels. We model the received signal as a third-order tensor composed of two CANDECOMP/PARAFAC decomposition terms for the non-RIS and the RIS-assisted links, respectively, and we propose two channel estimation methods based on an iterative alternating least squares (ALS) algorithm: The two-stage RIS OFF-ON method estimates each of the non-RIS and RIS-assisted terms in two pilot training stages, whereas the enhanced alternating least squares (E-ALS) method improves upon the ALS algorithm to jointly estimate all channels over the full training duration. A key benefit of both methods compared to the traditional least squares (LS) solution is that they exploit the structure of the tensor model to obtain decoupled estimates of all communication channels. We provide the computational complexities to obtain each of the channel estimates for our two proposed methods. Numerical simulations are used to evaluate the accuracy and verify the computational complexities of the proposed two-stage RIS OFF-ON, and E-ALS, and compare them to the traditional LS methods. Results show that E-ALS will obtain the most accurate estimate while only having a slightly higher run-time than the two-stage method.

Published
2023

24. Notes

Author

Alexander, James

Published
2009

31. Contents

Author

Alexander, James

Published
2009

33. Foreword

Author

Alexander, James

Published
2009

34. Preface

Author

Alexander, James

Published
2009

37. Progress towards elimination of rubella and congenital rubella syndrome--worldwide, 2012-2022/ Progres vers l'elimination de la rubeole et du syndrome de rubeole congenitale dans le monde, 2012-2022

Author

Ou, Alan C., Zimmerman, Laura A., Alexander, James P., Jr., Crowcroft, Natasha S., O'Connor, Patrick M., and Knapp, Jennifer K.

Subjects
United States. Centers for Disease Control and Prevention, Genetic disorders -- Health aspects, Vaccination -- Health aspects, Pregnancy -- Health aspects, Birth defects -- Health aspects, Infants -- Health aspects, Infection -- Health aspects, Vaccines -- Health aspects, Rubella -- Health aspects, Government, Health, World Bank Group. World Bank, World Health Organization
Abstract

Rubella virus is a leading cause of vaccine-preventable birth defects. Infection during pregnancy can result in miscarriage, fetal death, stillbirth or a constellation of birth defects, known as congenital rubella syndrome (CRS), which includes cataracts, deafness, heart defects and developmental delay. A single dose of rubella-containing vaccine can provide lifelong protection against rubella. The Global Vaccine Action Plan 2011-2020 set a target to achieve elimination of rubella in at least 5 of the 6 WHO regions by 2020, and rubella elimination is a critical goal of the Immunization Agenda 2030. This report updates a previous report and describes progress towards rubella and CRS elimination in 2012-2022. During this period, the number of WHO Member States that included rubella-containing vaccine (RCV) in their immunization schedules increased from 132 (68%) to 175 (90%), and the percentage of the world's infants were vaccinated against rubella increased from 40% to 68%. The reported number of rubella cases decreased by 81%, from 93 816 in 2012 to 17 407 in 2022. Verification of rubella elimination was achieved in 98 (51%) of 194 countries by 2022, an increase from 84 (43%) countries in 2019. Despite significant progress in introduction of RCV into routine immunization programmes worldwide, nearly 25 million infants annually still do not receive RCV. Nevertheless, the increasing number of countries that have achieved and sustained rubella elimination, even in complex settings, represents progress towards global rubella elimination. L'infection par le virus de la rubeole est l'une des principales causes de malformations congenitales evitables par la vaccination. Lorsqu'elle survient pendant la grossesse, elle peut entrainer une fausse couche, la mort foetale, une mortinaissance ou une constellation de malformations congenitales (notamment cataracte, surdite, malformations cardiaques et retards de developpement) connue sous le nom de syndrome de rubeole congenitale (SRC). Une dose unique de vaccin a valence rubeole peut conferer une protection a vie contre la rubeole. Parmi les cibles fixees dans le Plan d'action mondial pour les vaccins 2011-2020 figurait l'elimination de la rubeole dans au moins 5 des 6 Regions de l'OMS a l'horizon 2020. L'elimination de la rubeole fait en outre partie des objectifs cles du Programme pour la vaccination a l'horizon 2030. Le present rapport actualise les informations fournies dans le rapport precedent et decrit les progres accomplis vers l'elimination de la rubeole et du SRC dans la periode 2012-2022. Au cours de cette periode, les nombre d'Etats Membres de l'OMS ayant inclus le vaccin a valence rubeole (RCV) dans leur calendrier de vaccination a progresse, passant de 132 (68%) a 175 (90%); et le pourcentage de nourrissons dans le monde vaccines contre la rubeole est passe de 40% a 68%. Le nombre de cas notifies de rubeole a recule de 81%, passant de 93 816 en 2012 a 17 407 en 2022. En 2022, l'elimination de la rubeole avait ete verifiee dans 98 (51%) des 194 Etats Membres de l'OMS, contre 84(43%) en 2019. Toutefois, meme si l'introduction du RCV dans les programmes de vaccination systematique a fortement progresse a l'echelle mondiale, pres de 25millions de nourrissons sont encore prives de ce vaccin chaque annee. Le nombre croissant de pays ayant reussi a eliminer durablement la rubeole, meme parmi ceux confrontes a des situations complexes, temoigne neanmoins des progres realises vers l'elimination de cette maladie a l'echelle mondiale., Introduction Rubella virus is a leading cause of vaccine-preventable birth defects and can cause epidemics. Rubella virus infection usually produces a mild febrile rash illness in children and adults; however, [...]

Published
2024

39. Channel Estimation for Reconfigurable Intelligent Surface-Assisted Full-Duplex MIMO with Hardware Impairments

Author

Fernandes, Alexander James and Psaromiligkos, Ioannis

Subjects
Electrical Engineering and Systems Science - Signal Processing
Abstract

We consider the problem of channel estimation in a multiple-input-multiple-output (MIMO) full-duplex (FD) wireless communication system assisted by a reconfigurable intelligent surface (RIS) with hardware impairments (HI) occurring at the transceivers and RIS elements. We propose an unbiased channel estimator that requires knowledge of only the first and second order statistics of the HI, for which we derive closed form expressions. The proposed estimator reduces to the maximum likelihood estimator (MLE) in the case of ideal hardware. We also describe FD and HD orthogonal pilot schemes that minimize the mean square error of the MLE in the case of ideal hardware. We verify the performance of the estimator under varying conditions of transceiver and RIS HI via numerical simulations., Comment: Accepted for publication in IEEE Wireless Communications Letters

Published
2023
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40. Random forests, sound symbolism and Pokemon evolution

Author

Kilpatrick, Alexander James, Cwiek, Aleksandra, and Kawahara, Shigeto

Subjects
Computer Science - Machine Learning, Statistics - Machine Learning
Abstract

This study constructs machine learning algorithms that are trained to classify samples using sound symbolism, and then it reports on an experiment designed to measure their understanding against human participants. Random forests are trained using the names of Pokemon, which are fictional video game characters, and their evolutionary status. Pokemon undergo evolution when certain in-game conditions are met. Evolution changes the appearance, abilities, and names of Pokemon. In the first experiment, we train three random forests using the sounds that make up the names of Japanese, Chinese, and Korean Pokemon to classify Pokemon into pre-evolution and post-evolution categories. We then train a fourth random forest using the results of an elicitation experiment whereby Japanese participants named previously unseen Pokemon. In Experiment 2, we reproduce those random forests with name length as a feature and compare the performance of the random forests against humans in a classification experiment whereby Japanese participants classified the names elicited in Experiment 1 into pre-and post-evolution categories. Experiment 2 reveals an issue pertaining to overfitting in Experiment 1 which we resolve using a novel cross-validation method. The results show that the random forests are efficient learners of systematic sound-meaning correspondence patterns and can classify samples with greater accuracy than the human participants., Comment: 34 pages, 18 tables, 7 figures

Published
2023
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42. Fasting triglyceride concentrations are associated with markers of lipid metabolism and glucose homeostasis in healthy, non-obese dogs in lean and overweight condition

Author

Carlos Gomez-Fernandez-Blanco, Dominique Peeters, Frédéric Farnir, Katja Höglund, Vassiliki Gouni, Maria Wiberg, Jakob Lundgren Willesen, Sofia Hanås, Kathleen McEntee, Laurent Tiret, Jens Häggström, Hannes Lohi, Valérie Chetboul, Merete Fredholm, Eija Seppälä, Anne-Sophie Lequarré, Alexander James German, and Anne-Christine Merveille

Subjects
canine, metabolic syndrome, BCS, triglycerides, insulin, fructosamine, Veterinary medicine, SF600-1100
Abstract

Serum triglyceride concentrations increase in dogs with obesity, which is typically assessed by body condition score (BCS), however little is known about changes that take place in non-obese dogs in overweight condition. Further, the associations of triglyceride levels with other markers of energy homeostasis are poorly characterised in healthy animals. The present study aimed to evaluate associations between both BCS and triglyceride concentrations with other markers of lipid and glucose metabolism in healthy, non-obese dogs, as well as to assess whether these markers change significantly in non-obese dogs with overweight as compared to their lean counterparts. Serum concentrations of cholesterol, free fatty acids, triglycerides, insulin, glucose and fructosamine were measured in 532 healthy, client-owned dogs, assigned either to ‘lean’ (BCS: 3–5) or ‘overweight’ (BCS: 6–7) categories. Generalised linear mixed models were used to assess associations between BCS categories, triglyceride concentrations and other variables, correcting for the effect of breed. Compared with lean dogs, overweight dogs had a greater serum cholesterol concentration (95% CI, 5.3–6.2 mmol/L or 205–237 mg/dL versus 5.1–5.4 mmol/L or 198–210 mg/dL, p = 0.0032), insulin concentration (95% CI, 17.5–22.1 μU/ml versus 16.7–18.0 μU/ml, p = 0.0374) and were older (95% CI, 4.0–5.3 versus 3.4–3.7 years, p = 0.0005). Triglyceride concentrations were positively associated with fructosamine (r2 = 0.31, p = 0.0012), cholesterol (r2 = 0.25, p

Published
2024
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43. Evaluating a model of best practice in primary care led post-diagnostic dementia care: feasibility and acceptability findings from the PriDem study

Author

Rachael Hunter, Louise Robinson, Greta Rait, Kate R Walters, Marie Poole, Jill Manthorpe, Jane Wilcock, Martin Knapp, Sube Banerjee, Derek King, Louise Allen, Katie Flanagan, Alistair Burns, Raphael Wittenberg, Emily Evans, Sarah Griffiths, Sue Tucker, M Brar, Emily Spencer, Martin Wiegand, Federica D'Andrea, Aidan O'Keeffe, Revd Doug Lewins, Lewis Benjamin, and Alexander James Hagan

Subjects
Medicine
Abstract

Objectives To evaluate the feasibility and acceptability of a primary care-based intervention for improving post-diagnostic dementia care and support (PriDem), and implementation study procedures.Design A non-randomised, mixed methods, feasibility study.Setting Seven general practices from four primary care networks (PCNs) in the Northeast and Southeast of England.Participants We aimed to recruit 80 people with dementia (PWD) and 66 carersIntervention Clinical Dementia Leads delivered a 12-month intervention in participating PCNs, to develop care systems, build staff capacity and capability, and deliver tailored care and support to PWD and carers.Outcomes Recruitment and retention rates were measured. A mixed methods process evaluation evaluated feasibility and acceptability of the intervention and study procedures. Using electronic care records, researchers extracted service use data and undertook a dementia care plan audit, preintervention and postintervention, assessing feasibility of measuring the primary implementation outcome: adoption of personalised care planning by participating general practices. Participants completed quality of life, and service use measures at baseline, 4 and 9 months.Results 60 PWD (75% of recruitment target) and 51 carers (77% of recruitment target) were recruited from seven general practices across four PCNs. Retention rate at 9 months was 70.0% of PWD and 76.5% of carers. The recruitment approach showed potential for including under-represented groups within dementia. Despite implementation challenges, the intervention was feasible and acceptable, and showed early signs of sustainability. Study procedures were feasible and accessible, although researcher capacity was crucial. Participants needed time and support to engage with the study. Care plan audit procedures were feasible and acceptable.Conclusions The PriDem model is an acceptable and feasible intervention. A definitive study is warranted to fully inform dementia care policy and personalised dementia care planning guidance. Successful strategies to support inclusion of PWD and their carers in future research were developed.Trial registration number ISRCTN11677384.

Published
2024
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44. Multiscale studies of framework structure, composition, and defect influences on small molecule behaviour in zeolites

Author

Porter, Alexander James, O'Malley, Alexander, and Parker, Stephen

Abstract

The dynamics of water and methanol confined within different zeolites has been studied using classical molecular dynamics and quasielastic neutron scattering to understand the effects of zeolite structure and composition (Si/Al ratio, framework topology, and presence of defects) on the behaviour of small molecules confined in zeolite systems. This is with the aim to expand the current understanding of structure-property relationships regarding guest-host interactions and the dynamical behaviour of confined species to enable further development of these materials for use as molecular sieves, in water purification and as catalysts. The effect of the Si/Al ratio and inclusion of silanol nest defects on the diffusion of water at various loadings confined within H-FAU zeolites was investigated using classical molecular dynamics. Water loading has a significant effect on its diffusion, showing increased diffusivity as the loading was increased – plateauing as saturation is reached. Brønsted acid sites (BASs) show strong interactions with the water molecules and thus hinder molecular movements. As the Si/Al ratio is decreased, the higher concentration of BASs results in decreased diffusivity of the water. Silanol nests had no significant effect on the movement of water within the zeolite in our simulations. Complementary quasielastic neutron scattering (QENS) experiments were conducted on H-FAU samples. Again, a positive correlation between water diffusivity and Si/Al ratio was observed. Water was observed to be mostly confined to the FAU supercages on the timescale of experiment (1 – 100 ps). A good qualitative agreement was seen between the MD and QENS via the generation of QENS observables. Water diffusion within H-MFI was also studied. Similarly, a positive correlation between water diffusivity and Si/Al ratio was observed. Water was characterised as undergoing confined diffusion on the experimental timescale, within the MFI intersections, however, in the high silica sample the confinement was significantly reduced. QENS observables reproduced from MD trajectories gave good qualitative and quantitative agreement to the experiment. Finally, the effect of Si/Al ratio and defect presence on the diffusion of methanol within zeolite H-FER was probed using QENS and classical molecular dynamics. Classical molecular dynamics showed that decreasing the Si/Al ratio slowed the diffusion of methanol by a factor of 2 or more due to hydrogen bonding between the BAS and methanol molecules. The QENS measurements investigated two FER samples; a commercial sample (Si/Al = 20) and a sample synthesized from Ghanaian Bauxite and Kaolin (Si/Al = 35). The methanol was found to be mostly immobilised in both samples on the timescale observed by the OSIRIS QENS spectrometer (1- 100 ps), with at least 80% of methanol molecules appearing immobile. The EISF was best characterised by isotropic rotation of the methanol molecules. Similar observations were made via the QENS observables reproduced from the MD trajectories, the major difference being that almost 100% of the molecules were mobile in the MD simulations. No translational diffusion was observed over the experimental timescale in any sample – a potential indicator for methoxylation within the sample or due to oversaturation of the zeolite.

Published
2023

45. Photometric follow-up of eclipsing post-common-envelope binaries

Author

Brown, Alexander James and Parsons, Steven Gary

Abstract

Following the rapidly increasing interest in a wide variety of astronomical transients, the desire for large-area time-domain photometric surveys has exploded. From dedicated supernova searches to multi-messenger gravitational wave follow-up facilities to transient surveys simply designed to detect whatever they can find, the total area of the sky covered by these as well as the temporal sampling is only increasing. One of the outcomes of this is that periodically varying sources are becoming easy to find and this includes eclipsing systems -- particularly those with orbital periods of order a few days or less such as the post-common-envelope white dwarf-M~dwarf binaries. As such, the numbers of these eclipsing post-common-envelope binaries are increasing dramatically. Although this rapidly increasing population encompasses a wealth of information and potential insight into white dwarf and close binary astrophysics, the sheer numbers being discovered make the detailed follow-up that is required to capitalise on this sample difficult and time consuming. In this thesis I present a new technique of characterising these eclipsing white dwarf binaries from their eclipse light curves and demonstrate it to be significantly more robust and precise than previous methods while requiring less telescope time overall. I then go on to use this new technique to measure the parameters for 33 new eclipsing systems, finding a variety of interesting examples including some with pulsating WDs, magnetic WDs, or brown dwarf companions. Finally, I summarise some of the future research that naturally follows on from the work presented here.

Published
2023

46. Probing the biophysical properties of the Gram-negative cell envelope after treatment with low temperature plasma

Author

Scott, Alexander James, Baumann, Christoph, van der Woude, Marjan, and O'Connell, Deborah

Abstract

Low temperature plasma (LTP) can produce reactive oxygen species (ROS), which are known antimicrobial agents. ROS can react with lipids and proteins within the bacterial cell envelope. These bactericidal effects offer the potential to combat infections by antibiotic-resistant bacterial strains. Cell viability assays were used to show that the cell envelope is damaged by LTP treatment,which produced transient pores across both membranes. By varying Lipopolysaccharide (LPS) oligosaccharide head group lengths in Escherichia coli, we demonstrated that LPS provides protection against LTP-induced poration. We found that fluorescent nanoparticles could be internalised after LTP-treatment and determined the minimum size of these pores to be 9 nm. This observation is consistent with the nanoparticles diffusing through the pores of the previously intact membranes. The propensity for pore formation increased as the length of the oligosaccharide head group in LPS decreased. Using fluorescence recovery after photobleaching (FRAP) microscopy, we measured the changes in membrane fluidity and the lateral mobility of specific targets in the cell envelope. The effect of LTP-treatment on membrane fluidity was difficult to quantify because the FRAP data were dependent on the styryl dye probe utilised. The mobility of both styryl dyes employed here increased in LTP-treated cells. Using a GFP-TolA fusion protein, we measured a decrease in lateral mobility in the inner membrane (IM) after LTP treatment. This decrease was also observed in the outer membrane (OM) for the OmpA protein bio-orthogonally labelled with Alexa fluor 568 (AF568). In contrast, no change in AF568-labelled LPS lateral mobility was detected in LTP-treated bacterial cells. Overall, LTP-treatment has been shown in this work to induce pronounced changes in the bacterial cell envelope. It is possible that some of these changes, like pore formation, may be exploited to deliver drug molecules which could render LTP a more effective antimicrobial agent.

Published
2023

49. Mitigating Gender and L1 Biases in Automated English Speaking Assessment

Author

Alexander James Kwako

Abstract

Automated assessment using Natural Language Processing (NLP) has the potential to make English speaking assessments more reliable, authentic, and accessible. Yet without careful examination, NLP may exacerbate social prejudices based on gender or native language (L1). Current NLP-based assessments are prone to such biases, yet research and documentation are scarce. Considering the high stakes nature of English speaking assessment, it is imperative that tests are fair for all examinees, regardless of gender or L1 background. Through a series of three studies, this project addresses the need for more thorough investigations of bias in English speaking assessment. Study 1 examines biases in automated transcription, a key component of automated speaking assessment. Study 2 focuses on a specific type of bias known as differential item functioning (DIF), and determines which patterns of DIF are present in human rater scores and whether or not these patterns of DIF are exacerbated by a pretrained, large language model (LLM) known as BERT. Lastly, Study 3 presents a comparison of two approaches of mitigating DIF using LLMs. Results from Study 1 indicate that there are indeed biases in automated transcription, however these do not translate into biased speaking scores. In Study 2, it is shown that BERT does exacerbate human rater biases, although the effect size is small. Finally, Study 3 demonstrates that it is possible to debias human and automated scores; however, the two approaches have limitations, particularly when the source of DIF is unknown. [The dissertation citations contained here are published with the permission of ProQuest LLC. Further reproduction is prohibited without permission. Copies of dissertations may be obtained by Telephone (800) 1-800-521-0600. Web page: http://www.proquest.com/en-US/products/dissertations/individuals.shtml.]

Published
2023

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