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3. Combination Treatment with Verinurad and Allopurinol in CKD: A Randomized Placebo and Active Controlled Trial

Author

Heerspink, Hiddo J.L., Stack, Austin G., Terkeltaub, Robert, Jongs, Niels, Inker, Lesley A., Bjursell, Magnus, Maklad, Noha, Perl, Shira, Eklund, Olof, Rikte, Tord, Sjöström, C. David, Perkovic, Vlado, Chmelickova, Hana, Lukac, Martin, Bucek, Petr, Drasnar, Tomas, Dussol, Bertrand, Guerrot, Dominique, Legrand, Eric, Boffa, Jean-Jacques, Halimi, Jean-Michel, Zaoui, Philippe, Letoha, Annamaria, Hajdu, Csaba, Pall, Denes, Peterfai, Eva, Csécsei, Gyöngyi, Bezzegh, Katalin, Deak, Laszlo, Konyves, Laszlo, Zsom, Marianna, Danos, Peter, Vangel, Sandor, Vasas, Szilard, Oroszlan, Tamas, Zilahi, Zsolt, Leiba, Adi, Grossman, Alon, Leibowitz, Avshalom, Itzhak, Baruch, Daoud, Deeb, Farber, Evgeny, Adawi, Faiad, Nakhoul, Farid M., Chernin, Gil, Kenis, Irina, Wainstein, Julio, Zeller, Lior, Elias, Mazen, Atar, Shaul, Frajewicki, Victor, Yagil, Yoram, Armaly, Zaher A., Esposito, Ciro, Viazzi, Francesca, Gambaro, Giovanni, Piatti, Piermarco, Bonadonna, Riccardo C., Arias Delgadillo, Cristhian Ronaldt, Flores, Fernando Jimenez, Aguilera Real, Manuel Enrique, Fajardo-Campos, Pedro, Violante Ortiz, Rafael Margarito, Luna Ceballos, Rosa Isela, Duran-Barragan, Sergio, Zytkiewicz-Jaruga, Danuta, Krzyzagorska, Ewa, Skokowska, Ewa, Klodawska, Katarzyna, Mordaka, Robert, Mazur, Stanislaw, Stasinska, Teresa, Sulowicz, Wladyslaw, Constantin, Ciprian, Negru, Doru, Paveliu, Fraga-Silvia, Negrisanu, Gabriela Doina, Szilagyi, Iosif, Busegeanu, Mihaela Magdalena G., Pena, Mihai Cosmin, Avram, Rodica Ioana, Ardelean, Silvia Luminita, Ilavska, Adriana, Dzupina, Andrej, Oroszova, Aniko, Kolesarova, Eva, Obetkova, Ida, Smatanova, Iveta, Babikova, Jana, Fulop, Peter, Haffner, Radovan, Rayner, Brian L., Kruger, Dawid Stephanus, Urbach, Dorothea Vera, Mitha, Essack, Vally Mahomed Latiff, Gulam Hoosain, Makan, Hemant, du Plessis, Hermanus, Jurgens, Jaco Cornelius, Reddy, Jeevren, Trokis, Julien S., McHarry, Kirsten, Distiller, Lawrence Allen, Mayet, Leila, Burgess, Lesley Jean, Van Zyl, Louis Johan, Joshi, Mukesh P., Sebastian, Peter John, Du Toit, Samantha Maria, Blignaut, Suzanne C., Serrano, Antonio Galan, Morales, Cristobal, Poch, Esteban, Mosquera, Eva Marquez, Castro, Fernando Cereto, Gonzalez Martinez, Francisco Javier, Perez- Contreras, Francisco Javier, Fernandez-Fresnedo, Gema, Garcia Mendez, Isabel Fuencisla, Perez, Jonay Pantoja, Martinez, Jordi Calabia, Gorriz Teruel, Jose Luis, Nieto Iglesias, Luis Javier, Munoz-Torres, Manuel, Munar Vila, Maria Antonia, Arenas Jimenez, Maria Dolores, Dominguez-Lopez, Marta E., Val, Miguel Hueso, Terrades, Natalia Ramos, Olmo, Rafael Santamaria, Malek Marin, Tamara Gelen, Arif, Ahmed A., Lee, Benjamin J., Mehta, Bhasker R., Baker, Bruce H., Jere, Charles S., Bains, David G., Stricklin, David G., Cheung, Deanna, Echeverri, Diego, Vera, Edgard, Heurich, Eva-Maria, Sterba, Gary A., Hernandez, German T., Paez, Henry E., Acosta, Idalia A., Ahmed, Intekhab, Sachmechi, Issac, Madu, Ivy-Joan E., Obhrai, Jagdeep Singh, Hammoud, Jamal A., Tumlin, James A., Cain, James, Moya-Hechevarria, Jaynier, Connaire, Jeffrey J., Haggiagi, Jehad, Odren, Jennifer A., Bellucci-Jackson, Jennifer M., Yan, Jieshi, Parker, John C., Tolins, Jonathan P., Gomez-Cortes, Jose D., Cardona, Jose F., Mandry, Jose M., Olivero, Juan Jorge, Hendon, Kendra S., Kaveh, Kianoosh, Kooienga, Laura A., Bermudez, Lidia R., Rich, Lisa M., Gold, Marina, Gonzalez, Marisela, Schaefer, Matthew E., Welch, Michelle, Moustafa, Moustafa A., Mussaji, Murtaza, Pergola, Pablo E., Phaosawasdi, Piangwarin, Silva, Ricardo A., Presas, Ricardo, Lynn, Robert I., Kronfli, Saeed J., Ventrapragada, Sailaja V., Niranjan, Sankar N., Husain, Sayed, Satko, Scott, Jabbour, Serge A., Rovner, Sergio F., Gouge, Steven F., Joshi, Sudhir S., Ramachandran Subramanian, Varagur Bala, Lane, Wendy, Calhoun, Wesley, and Durham, William

Published
2024
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6. Hacking DCNs

Author

Lukac, Martin, Abdiyeva, Kamila, Kacprzyk, Janusz, Series Editor, van Gulijk, Coen, editor, Zaitseva, Elena, editor, and Kvassay, Miroslav, editor

Published
2023
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9. Kidney and Cardiovascular Effects of Canagliflozin According to Age and Sex: A Post Hoc Analysis of the CREDENCE Randomized Clinical Trial

Author

Perkovic, Vlado, Mahaffey, Kenneth W., Agarwal, Rajiv, Bakris, George, Brenner, Barry M., Cannon, Christopher P., Charytan, David M., de Zeeuw, Dick, Greene, Tom, Jardine, Meg J., Heerspink, Hiddo J.L., Levin, Adeera, Meininger, Gary, Neal, Bruce, Pollock, Carol, Wheeler, David C., Zhang, Hong, Zinman, Bernard, Jardine, Meg, Li, Nicole, Kolesnyk, Inna, Aizenberg, Diego, Pecoits-Filho, Roberto, Cherney, David, Obrador, Gregorio, Chertow, Glenn, Chang, Tara, Hawley, Carmel, Ji, Linong, Wada, Takashi, Jha, Vivekanand, Lim, Soo Kun, Lim-Abrahan, Mary Anne, Santos, Florence, Chae, Dong-Wan, Hwang, Shang-Jyh, Vazelov, Evgueniy, Rychlík, Ivan, Hadjadj, Samy, Krane, Vera, Rosivall, László, De Nicola, Luca, Dreval, Alexander, Nowicki, Michał, Schiller, Adalbert, Distiller, Larry, Górriz, Jose L., Kolesnyk, Mykola, David, Wheeler, C., Guerrero, Rodolfo Andres Ahuad, Albisu, Juan Pablo, Alvarisqueta, Andres, Bartolacci, Ines, Berli, Mario Alberto, Bordonava, Anselmo, Calella, Pedro, Cantero, Maria Cecilia, Cartasegna, Luis Rodolfo, Cercos, Esteban, Coloma, Gabriela Cecilia, Colombo, Hugo, Commendatore, Victor, Cuadrado, Jesus, Cuneo, Carlos Alberto, Cusumano, Ana Maria, Douthat, Walter Guillermo, Dran, Ricardo Dario, Farias, Eduardo, Fernandez, Maria Florencia, Finkelstein, Hernan, Fragale, Guillermo, Fretes, Jose Osvaldo, Garcia, Nestor Horacio, Gastaldi, Anibal, Gelersztein, Elizabeth, Glenny, Jorge Archibaldo, Gonzalez, Joaquin Pablo, Colaso, Patricia del Carmen Gonzalez, Goycoa, Claudia, Greloni, Gustavo Cristian, Guinsburg, Adrian, Hermida, Sonia, Juncos, Luis Isaias, Klyver, Maria Isabel, Kraft, Florencia, Krynski, Fernando, Lanchiotti, Paulina Virginia, Leon de la Fuente, Ricardo Alfonso, Marchetta, Nora, Mele, Pablo, Nicolai, Silvia, Novoa, Pablo Antonio, Orio, Silvia Ines, Otreras, Fabian, Oviedo, Alejandra, Raffaele, Pablo, Resk, Jorge Hector, Rista, Lucas, Papini, Nelson Rodriguez, Sala, Jorgelina, Santos, Juan Carlos, Schiavi, Lilia Beatriz, Sessa, Horacio, Casabella, Tomas Smith, Ulla, Maria Rosa, Valdez, Maria, Vallejos, Augusto, Villarino, Adriana, Visco, Virginia Esther, Wassermann, Alfredo, Zaidman, Cesar Javier, Cheung, Ngai Wah, Droste, Carolyn, Fraser, Ian, Johnson, David, Mah, Peak Mann, Nicholls, Kathy, Packham, David, Proietto, Joseph, Roberts, Anthony, Roger, Simon, Tsang, Venessa, Raduan, Roberto Abrão, Costa, Fernando Augusto Alves da, Amodeo, Celso, Turatti, Luiz Alberto Andreotti, Bregman, Rachel, Sanches, Fernanda Cristina Camelo, Canani, Luis Henrique, Chacra, Antônio Roberto, Borges, João Lindolfo Cunha, Vêncio, Sérgio Alberto Cunha, Franco, Roberto Jorge da Silva, d’Avila, Domingos, Portes, Evandro de Souza, de Souza, Pedro, Deboni, Luciane Mônica, Fraige Filho, Fadlo, Neto, Bruno Geloneze, Gomes, Marcus, Kohara, Suely Keiko, Keitel, Elizete, Saraiva, Jose Francisco Kerr, Lisboa, Hugo Roberto Kurtz, Contieri, Fabiana Loss de Carvalho, Milagres, Rosângela, Junior, Renan Montenegro, de Brito, Claudia Moreira, Hissa, Miguel Nasser, Sabbag, Ângela Regina Nazario, Noronha, Irene, Panarotto, Daniel, Filho, Roberto Pecoits, Pereira, Márcio Antônio, Saporito, Wladmir, Scotton, Antonio Scafuto, Schuch, Tiago, de Almeida, Roberto Simões, Ramos, Cássio Slompo, Felício, João Soares, Thomé, Fernando, Hachmann, Jean Carlo Tibes, Yamada, Sérgio, Hayashida, Cesar Yoiti, Petry, Tarissa Beatrice Zanata, Zanella, Maria Teresa, Andreeva, Viktoria, Angelova, Angelina, Dimitrov, Stefan, Genadieva, Veselka, Genova-Hristova, Gabriela, Hristozov, Kiril, Kamenov, Zdravko, Koundurdjiev, Atanas, Lozanov, Lachezar, Margaritov, Viktor, Nonchev, Boyan, Rangelov, Rangel, Shinkov, Alexander, Temelkova, Margarita, Velichkova, Ekaterina, Yakov, Andrian, Aggarwal, Naresh, Aronson, Ronnie, Bajaj, Harpreet, Chouinard, Guy, Conway, James, Cournoyer, Serge, DaRoza, Gerald, De Serres, Sacha, Dubé, François, Goldenberg, Ronald, Gupta, Anil, Gupta, Milan, Henein, Sam, Khandwala, Hasnain, Leiter, Lawrence, Madore, François, McMahon, Alan, Muirhead, Norman, Pichette, Vincent, Rabasa-Lhoret, Remi, Steele, Andrew, Tangri, Navdeep, Torshizi, Ali, Woo, Vincent, Zalunardo, Nadia, Montenegro, María Alicia Fernández, Gonzalo Godoy Jorquera, Juan, Fariña, Marcelo Medina, Gajardo, Victor Saavedra, Vejar, Margarita, Chen, Nan, Chen, Qinkai, Gan, Shenglian, Kong, Yaozhong, Li, Detian, Li, Wenge, Li, Xuemei, Lin, Hongli, Liu, Jian, Lu, Weiping, Mao, Hong, Ren, Yan, Song, Weihong, Sun, Jiao, Sun, Lin, Tu, Ping, Wang, Guixia, Yang, Jinkui, Yin, Aiping, Yu, Xueqing, Zhao, Minghui, Zheng, Hongguang, Mendoza, Jose Luis Accini, Arcos, Edgar, Avendano, Jorge, Diaz Ruiz, Jorge Ernesto Andres, Ortiz, Luis Hernando Garcia, Gonzalez, Alexander, Triana, Eric Hernandez, Higuera, Juan Diego, Malaver, Natalia, de Salazar, Dora Inés Molina, Rosero, Ricardo, Alexandra Terront Lozano, Monica, Cometa, Luis Valderrama, Valenzuela, Alex, Vargas Alonso, Ruben Dario, Villegas, Ivan, Yupanqui, Hernan, Bartaskova, Dagmar, Barton, Petr, Belobradkova, Jana, Dohnalova, Lenka, Drasnar, Tomas, Ferkl, Richard, Halciakova, Katarina, Klokocnikova, Vera, Kovar, Richard, Lastuvka, Jiri, Lukac, Martin, Pesickova, Satu, Peterka, Karel, Pumprla, Jiri, Rychlik, Ivan, Saudek, Frantisek, Tesar, Vladimir, Valis, Martin, Weiner, Pavel, Zemek, Stanislav, Alamartine, Eric, Borot, Sophie, Cariou, Bertrand, Dussol, Bertrand, Fauvel, Jean-Pierre, Gourdy, Pierre, Klein, Alexandre, Le Meur, Yannick, Penfornis, Alfred, Roussel, Ronan, Saulnier, Pierre-Jean, Thervet, Eric, Zaoui, Philippe, Burst, Volker, Faghih, Markus, Faulmann, Grit, Haller, Hermann, Jerwan-Keim, Reinhold, Maxeiner, Stephan, Paschen, Björn, Plassmann, Georg, Rose, Ludger, Gonzalez Orellana, Ronaldo Arturo, Haase, Franklin Paul, Moreira Diaz, Juan Pablo, Ramirez Roca, Luis Alberto, Sánchez Arenales, Jose Antonio, Sanchez Polo, José Vicente, Juarez, Erick Turcios, Csecsei, Gyongyi, Csiky, Botond, Danos, Peter, Deak, Laszlo, Dudas, Mihaly, Harcsa, Eleonora, Keltai, Katalin, Keresztesi, Sandor, Kiss, Krisztian, Konyves, Laszlo, Major, Lajos, Mileder, Margit, Molnar, Marta, Mucsi, Janos, Oroszlan, Tamas, Ory, Ivan, Paragh, Gyorgy, Peterfai, Eva, Petro, Gizella, Revesz, Katalin, Takacs, Robert, Vangel, Sandor, Vasas, Szilard, Zsom, Marianna, Abraham, Oomman, Bhushan, Raju Sree, Deepak, Dewan, Edwin, Fernando M., Gopalakrishnan, Natarajan, Gracious, Noble, Hansraj, Alva, Jain, Dinesh, Keshavamurthy, C.B., Khullar, Dinesh, Manisha, Sahay, Peringat, Jayameena, Prasad, Narayan, Satyanarayana, Rao K., Sreedhar, Reddy, Sreelatha, Melemadathil, Sudhakar, Bhimavarapu, Chandra Vyasam, Ramesh, Bonadonna, Riccardo, Castellino, Pietro, Ceriello, Antonio, Chiovato, Luca, De Cosmo, Salvatore, Derosa, Giuseppe, Di Carlo, Alberto, Di Cianni, Graziano, Frascà, Giovanni, Fuiano, Giorgio, Gambaro, Giovanni, Garibotto, Giacomo, Giorda, Carlo, Malberti, Fabio, Mandreoli, Marcora, Mannucci, Edoardo, Orsi, Emanuela, Piatti, Piermarco, Santoro, Domenico, Sasso, Ferdinando Carlo, Serviddio, Gaetano, Stella, Andrea, Trevisan, Roberto, Veronelli, Anna Maria, Zanoli, Luca, Akiyama, Hitoshi, Aoki, Hiromi, Asano, Akimichi, Iitsuka, Tadashi, Kajiyama, Shizuo, Kashine, Susumu, Kawada, Toshio, Kodera, Takamoto, Kono, Hiroshi, Koyama, Kazunori, Kumeda, Yasuro, Miyauchi, Shozo, Mizuyama, Kazuyuki, Niiya, Tetsuji, Oishi, Hiroko, Ota, Satoshi, Sakakibara, Terue, Takai, Masahiko, Tomonaga, Osamu, Tsujimoto, Mitsuru, Wakasugi, Masakiyo, Wakida, Yasushi, Watanabe, Takayuki, Yamada, Masayo, Yanagida, Kazuhiro, Yanase, Toshihiko, Yumita, Wataru, Gaupsiene, Egle, Kozloviene, Dalia, Navickas, Antanas, Urbanaviciene, Egle, Abdul Ghani, Rohana, Kadir, Khalid Abdul, Ali, Norsiah, Che Yusof, Mohd Daud, Gan, Chye Lee, Ismail, Mastura, Kong, Wei Yen, Lam, Swee Win, Lee, Li Yuan, Loh, Chek Loong, Manocha, Anita Bhajan, Ng, Kee Sing, Ahmad, Nik Nur Fatnoon Nik, Ratnasingam, Vanassa, Shudim, Saiful Shahrizal Bin, Vengadasalam, Paranthaman, Abraira Munoz, Luis David, Salazar, Melchor Alpizar, Cruz, Juan Baas, Soto, Mario Burgos, Ramos, Jose Chevaile, Wong, Alfredo Chew, Correa Rotter, Jose Ricardo, Escalante, Tonatiu Diaz, Enriquez Sosa, Favio Edmundo, Lozano, Fernando Flores, Flota Cervera, Luis Fernando, Baron, Paul Frenk, Ballesteros, Cecilia Garcia, Gomez Rangel, Jose David, Herrera Jimenez, Luis Enrique, Irizar Santana, Sergio Saul, Flores, Fernando Jimenez, Molina, Hugo Laviada, Luna Ceballos, Rosa Isela, del Campo Blanco, Belia Martin, Franco, Guadalupe Morales, Moreno Loza, Oscar Tarsicio, Rocha, Cynthia Mustieles, Vera, Gregorio Obrador, Castellanos, Ricardo Orozco, Calcaneo, Juan Peralta, Reyes Rosano, Miguel Angel, Pattzi, Hiromi Rodriguez, Guzman, Juan Rosas, Rucker Joerg, Isabel Erika, Saavedra Sanchez, Sandra Berenice, Sanchez Mijangos, Jose Hector, Sanson, Pablo Serrano, Tamayo y Orozco, Juan Alfredo, Chavez, Eloisa Tellez, Cepeda, Alejandro Valdes, Carrillo, Luis Venegas, Mesa, Juan Villagordoa, Escobedo, Rolando Zamarripa, Baker, John, Noonan, Paul, Scott, Russell, Walker, Robert, Watson, Edward, Williams, Michael, Young, Simon, Abejuela, Zaynab, Agra, Jeimeen, Aquitania, Grace, Caringal, Clodoaido, Comia, Rhea Severina, Santos, Lalaine Delos, Gomez, Olivert, Jimeno, Cecilia, Tan, Gerry, Tolentino, Marsha, Yao, Christy, Yap, Yvette Ethel, Lallaine Ygpuara, Ma. Dovie, Bijata-Bronisz, Renata, Hotlos, Lucyna, Januszewicz, Andrzej, Kaczmarek, Barbara, Kaminska, Anna, Lazuka, Lech, Madej, Andrzej, Mazur, Stanislaw, Mlodawska-Choluj, Dorota, Nowicki, Michal, Orlowska-Kowalik, Grazyna, Popenda, Grazyna, Rewerska, Barbara, Sowinski, Dariusz, Angelescu, Liliana Monica, Anghel, Veronica, Avram, Rodica-Ioana, Busegeanu, Mihaela-Magdalena, Cif, Adriana, Cosma, Dana, Crisan, Carmen, Demian, Luiza Despina, Ferariu, Ioana Emilia, Halmagyi, Ildiko, Hancu, Nicolae, Munteanu, Mircea, Negru, Doru, Onaca, Adriana Gabriela, Petrica, Ligia, Popa, Amorin Remus, Ranetti, Aurelian-Emil, Serafinceanu, Cristian, Toarba, Cristina, Agafyina, Alina, Barbarash, Olga, Barysheva, Olga, Chizhov, Daniil, Dobronravov, Vladimir, Glinkina, Irina, Grineva, Elena, Khirmanov, Vladimir, Kolmakova, Elena, Koroleva, Tatiana, Kvitkova, Liudmila, Marasaev, Viacheslav, Mkrtumyan, Ashot, Morugova, Tatiana, Nagibovich, Galina, Nagibovich, Oleg, Nedogoda, Sergei, Osipova, Irina, Raskina, Tatiana, Samoylova, Yulia, Sazonova, Olga, Shamkhalova, Minara, Shutemova, Elena, Shwartz, Yuriy, Uriasyev, Oleg, Vorobyev, Sergey, Zateyshchikova, Anna, Zateyshshikov, Dmitry, Zykova, Tatyana, Antic, Slobodan, Djordjevic, Miodrag, Kendereski, Aleksandra, Lalic, Katarina, Lalic, Nebojsa, Popovic-Radinovic, Vesna, Babikova, Jana, Benusova, Olga, Buganova, Ingrid, Culak, Jan, Dzupina, Andrej, Dzuponova, Jana, Fulop, Peter, Ilavska, Adriana, Martinka, Emil, Ochodnicka, Zuzana, Pella, Daniel, Smatanova, Iveta, Ahmed, Fayzal, Badat, Aysha, Breedt, Johannes, Distiller, Lawrence, Govender, Vimladhevi, Govender, Ravendran, Joshi, Mukesh, Jurgens, Jaco, Latiff, Gulam, Lombard, Landman, Mookadam, Mohamed, Ngcakani, Nomangesi, Nortje, Hendrik, Oosthuizen, Helena, Pillay-Ramaya, Larisha, Prozesky, Hans, Reddy, Jeevren, Rheeder, Paul, Seeber, Mary, Cho, Young Min, Jeong, In-Kyung, Kim, Sin Gon, Kim, Yeong Hoon, Kwon, Hyuk-Sang, Kwon, Min Jeong, Lee, Byung-Wan, Lee, JungEun, Lee, Moon-Kyu, Nam, Moon-Suk, Oh, Kook-Hwan, Park, Cheol- Young, Park, Sun-Hee, Yoon, Kun Ho, Garcia, Pere Alvarez, Mercadal, Luis Asmarats, Barrios, Clara, Castro, Fernando Cereto, Guldris, Secundino Cigarran, Lopez, Marta Dominguez, Egido de los Rios, Jesus, Fresnedo, Gema Fernandez, Serrano, Antonio Galan, Garcia, Isabel, Gonzalez Martinez, Francisco Javier, Jodar Gimeno, Jose Esteban, Mendoza, Manuel Lopez, Marin, Tamara Malek, Portillo, Cristobal Morales, Munar Vila, Maria Antonia, Torres, Manuel Muñoz, Iglesias, Javier Nieto, Perez, Jonay Pantoja, Vera, Merce Perez, Portoles Perez, Jose M., Quesada Simón, María Angustias, Canonge, Rafael Simo, Gonzalez, Alfonso Soto, Riera, Manel Terns, Tinahones Madueno, Francisco Jose, Plaza, Mercedes Velo, Chang, Chwen-Tzuei, Chuang, Lee-Ming, Hsia, Te-Lin, Hsieh, Chang-Hsun, Lin, Chih-Ching, Lu, Yung- Chuan, Sheu, Wayne H-H, Barna, Olga, Bilyk, Svitlana D., Botsyurko, Volodymyr, Dudar, Iryna, Fushtey, Ivan, Godlevska, Olga, Golovchenko, Oleksandr, Gyrina, Olga, Kazmirchuk, Anatoliy, Komisarenko, Iuliia, Korzh, Oleksii, Kravchun, Nonna, Legun, Oleg, Mankovskyy, Borys, Martynyuk, Liliya, Mostovoy, Yuriy, Pashkovska, Nataliia, Pererva, Larysa, Pertseva, Tetyana, Samoylov, Oleksandr, Smirnov, Ivan, Svyshchenko, Yevgeniya, Tomashkevych, Halyna, Topchii, Ivan, Tryshchuk, Nadiya, Tseluyko, Vira, Vizir, Vadym, Vlasenko, Maryna, Zlova, Tetiana, Zub, Liliia, Abusnana, Salah, Railey, Mohamed, Abouglila, Kamal, Ainsworth, Paul, Ali, Zishan, Arutchelvam, Vijayaraman, Barnard, Maria, Bellary, Srikanth, Davies, Emyr, Davies, Mark, Davies, Simon, Dawson, Alison, El Kossi, Mohsen, English, Patrick, Fraser, Donald, Gnudi, Luigi, Gunstone, Anthony, Hall, Timothy, Hanif, Wasim, Jackson, Alan, Johnson, Andrew, Joseph, Franklin, Krishnan, Singhan, Kumwenda, Mick, MacDougall, Iain, Nixon, Paul, O'Hare, Joseph, Philip, Sam, Ramtoola, Shenaz, Saxena, Manish, Sennik, Davesh, Simon, Godwin, Singh, Baldev, Stephens, Jeffrey, Strzelecka, Anna, Symonds, Rehan, Turner, Wayne, Wahba, Mona, Wakeling, John, Wheeler, David, Winocour, Peter, Abdallah, Joseph, Abdullah, Raied, Abramowitz, Matthew, Acosta, Idalia, Aiello, Joseph, Akright, Laura, Akyea-Djamson, Ayim, Alappan, Rajendran, Alicic, Radica, Al-Karadsheh, Amer, Allison, Dale Crawford, Arauz-Pacheco, Carlos, Arfeen, Shahabul, Arif, Ahmed, Arvind, Moogali, Atray, Naveen, Awad, Ahmed, Barnhill, Peggy, Barranco, Elizabeth, Barrera, Carlos, Beacom, Matthew, Behara, Venkata, Belo, Diogo, Bentley-Lewis, Rhonda, Berenguer, Ramon, Bermudez, Lidia, Bernardo, Marializa, Biscoveanu, Mihaela, Bowman-Stroud, Cynthia, Brandon, Donald, Brusco, Osvaldo, Busch, Robert, Canaan, Yamil, Chilito, Alicia, Christensen, Tom, Christiano, Cynthia, Christofides, Elena, Chuateco, Caroucel, Cohen, Kenneth, Cohen, Robert, Cohen-Stein, Debbie, Cook, Charles, Coyne, Daniel, Daboul, Nizar, Darwish, Riad, Daswani, Adarsh, Deck, Kenneth, Desouza, Cyrus, Dev, Devasmita, Dhillon, Monika, Dua, Sohan, Eder, Frank, Elosegui, Ana Maria, El-Shahawy, Mohamed, Ervin, John, Esquenazi, Alberto, Evans, John, Fishbane, Steven, Frias, Juan, Galindo-Ramos, Eugenia, Galphin, Claude, Ghazi, Adline, Gonzalez, Enrique, Gorson, David, Gowda, Anupama, Greco, Barbara, Grubb, Stephen, Gulati, Rakesh, Hammoud, Jamal, Handelsman, Stuart, Hartman, Israel, Hershon, Kenneth, Hiser, Daniel, Hon, George, Jacob, Radu, Jaime, Maria, Jamal, Aamir, Kaupke, Charles, Keightley, Gerald, Kern, Elizabeth, Khanna, Rakhi, Khitan, Zeid, Kim, Sun, Kopyt, Nelson, Kovesdy, Csaba, Krishna, Gopal, Kropp, Jeffrey (Jay), Kumar, Amrendra, Kumar, Jayant, Kumar, Neil, Kusnir, Jorge, Lane, Wendy, Lawrence, Mary, Lehrner, Lawrence, Lentz, John, Levinson, Dennis, Lewis, Derek, Liss, Kenneth, Maddux, Andreas, Maheshwari, Hiralal, Mandayam, Sreedhar, Marar, Isam, Mehta, Bhasker, Middleton, John, Mordujovich, Jorge, Moreda, Ramon, Moustafa, Moustafa, Trenche, Samuel Mujica, Narayanan, Mohanram, Narvarte, Javier, Nassar, Tareq, Newman, George, Nichol, Brian, Nicol, Philip, Nisnisan, Josier, Nossuli, A. Kaldun, Obialo, Chamberlain, Olelewe, Sarah, Oliver, Michael, O'Shaughnessy, Andrew, Padron, John, Pankhaniya, Rohit, Parker, Reginald, Patel, Devesh, Patel, Gnyandev, Patel, Nina, Pavon, Humberto, Perez, Armando, Perez, Carlos, Perlman, Alan, Pettis, Karlton, Pharr, Walter, Phillips, Andrea, Purighalla, Raman, Quesada-Suarez, Luis, Ranjan, Rajiv, Rastogi, Sanjeev, Reddy, Jakkidi, Rendell, Marc, Rich, Lisa, Robinson, Michael, Rodriguez, Hector, Rosas, Sylvia, Saba, Fadi, Sankaram, Rallabhandi, Sarin, Ravi, Schreiman, Robert, Scott, David, Sekkarie, Mohamed, Sensenbrenner, John, Shakeel, Muhammad, Shanik, Michael, Shaw, Sylvia, Smith, Stephen, Solomon, Richard, Sprague, Amy, Spry, Leslie, Suchinda, Pusadee, Sultan, Senan, Surampudi, Prasanth, Sussman, Sherry, Tan, Anjanette, Terrelonge, Antonio, Thompson, Michael, Trespalacios, Fernando, Trippe, Bruce, Trueba, Pilar, Twahirwa, Marcel, Updegrove, John, Van Buren, Peter, Vannorsdall, Mark, Varghese, Freemu, Velasquez-Mieyer, Pedro, Ventrapragada, Sailaja, Vukotic, Goga, Wadud, Khurram, Warren, Mark, Watson, Henry, Watts, Ronald, Weiner, Daniel, Welker, James, Welsh, Jean, Williams, Shelley, Zaniewski-Singh, Michelle, Yi, Tae Won, Smyth, Brendan, Di Tanna, Gian Luca, Arnott, Clare, Cardoza, Kathryn, and Kang, Amy

Published
2023
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10. List of contributors

Author

Abdiyeva, Kamila, primary, Ahuja, Narendra, additional, Anneken, Mathias, additional, Auber, David, additional, Ayyar, Meghna P., additional, Beddiar, Romaissa, additional, Benois-Pineau, Jenny, additional, Bescós, Jesús, additional, Boscolo Galazzo, Ilaria, additional, Bourqui, Romain, additional, Brusini, Lorenza, additional, Burkart, Nadia, additional, Calabrese, Massimiliano, additional, Cruciani, Federica, additional, Delaney, Eoin, additional, Deriche, Rachid, additional, Escudero-Viñolo, Marcos, additional, Gajić, Andrija, additional, Garreau, Damien, additional, Giacinto, Giorgio, additional, Giot, Romain, additional, Gorokhovatskyi, Oleksii, additional, Gorokhovatskyi, Volodymyr, additional, Greene, Derek, additional, Halnaut, Adrien, additional, Hardouin, Alexandre, additional, Huber, Marco F., additional, Jouis, Gaëlle, additional, Keane, Mark T., additional, Kenny, Eoin M., additional, López-Cifuentes, Alejandro, additional, Lukac, Martin, additional, Menegaz, Gloria, additional, Mouchère, Harold, additional, Oussalah, Mourad, additional, Peredrii, Olena, additional, Petkovic, Dragutin, additional, Picarougne, Fabien, additional, Quénot, Georges, additional, Retuci Pinheiro, Gustavo, additional, Rieck, Konrad, additional, Rittner, Leticia, additional, Samek, Wojciech, additional, Scalas, Michele, additional, Setti, Francesco, additional, Veerappa, Manjunatha, additional, Vlasenko, Nataliia, additional, Zemmari, Akka, additional, and Zucchelli, Mauro, additional

Published
2023
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13. Approximate Function Classification

Author

Lukac, Martin, Podlaski, Krzysztof, Kameyama, Michitaka, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Groen, Derek, editor, de Mulatier, Clélia, editor, Paszynski, Maciej, editor, Krzhizhanovskaya, Valeria V., editor, Dongarra, Jack J., editor, and Sloot, Peter M. A., editor

Published
2022
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15. Quantum Encoded Quantum Evolutionary Algorithm for the Design of Quantum Circuits

Author

Krylov, Georgiy and Lukac, Martin

Subjects
Quantum Physics
Abstract

In this paper we present Quanrum Encoded Quantum Evolutionary Algorithm (QEQEA) and compare its performance against a a classical GPU accelerated Genetic Algorithm (GPUGA). The proposed QEQEA differs from existing quantum evolutionary algorithms in several points: representation of candidates circuits is using qubits and qutrits and the proposed evolutionary operators can in theory be implemented on quantum computer provided a classical control exists. The synthesized circuits are obtained by a set of measurements performed on the encoding units of quantum representation. Both algorithms are accelerated in GPGPU. The main target of this paper, is not to propose a completely novel quantum genetic algorithm but to rather experimentally estimate the advantages of certain components of genetic algorithm being encoded and implemented in a quantum compatible manner. The algorithms are compared and evaluated on several reversible and quantum circuits. The results demonstrate that on one hand the quantum encoding and quantum implementation compatible implementation provides certain disadvantages with respect to the classical evolutionary computation. On the other hand, encoding certain components in a quantum compatible manner could in theory allow to accelerate the search. This acceleration would in turn counter weight the implementation limitations., Comment: 7 figures, 8 pagges

Published
2018

16. Dual endothelin antagonist aprocitentan for resistant hypertension (PRECISION): a multicentre, blinded, randomised, parallel-group, phase 3 trial

Author

Reid, Christopher, Schlaich, Markus, Katz, Ivor, Ajani, Andrew, Biswas, Sinjini, Esler, Murray, Elder, Grahame, Roger, Simon, Colquhoun, David, Mooney, John, De Backer, Tine, Persu, Alexandre, Chaumont, Martin, Krzesinski, Jean-Marie, Vanassche, Thomas, Girard, Ginette, Pliamm, Lew, Schiffrin, Ernesto, Merali, Fatima, Dresser, George, Vallee, Michel, Jolly, Shivinder, Chow, Stephen, Wang, Jiguang, Mu, Jianjun, Yu, Jing, Yuan, Hong, Feng, Yingqing, Zhang, Xin, Xie, Jianhong, Lin, Ling, Soucek, Miroslav, Widimsky, Jiri, Cifkova, Renata, Vaclavik, Jan, Ullrych, Martin, Lukac, Martin, Rychlik, Ivan, Guldager Lauridsen, Thomas, Kantola, Ilkka, Taurio, Jyrki, Ukkola, Olavi, Ormezzano, Olivier, Gosse, Philippe, Azizi, Michel, Courand, Pierre-Yves, Delsart, Pascal, Tartiere, Jean Michel, Mahfoud, Felix, Schmieder, Roland, Stegbauer, Johannes, Lurz, Philipp, Koziolek, Michael, Ott, Christian, Toursarkissian, Nicole, Tsioufis, Konstantinos, Kyfnidis, Konstantinos, Manolis, Athanasios, Patsilinakos, Sotirios, Zebekakis, Pantelis, Karavidas, Apostolos, Denes, Pall, Bezzegh, Katalin, Zsom, Marianna, Kovacs, Laszlo, Sharabi, Yehonatan, Elias, Mazen, Sukholutsky, Ivetta, Yosefy, Chaim, Kenis, Irina, Atar, Shaul, Volpe, Massimo, Maria Lorenza, Muiesan, Taddei, Stefano, Grassi, Guido, Veglio, Franco, Son, Jung Woo, Kim, Jang-Young, Park, Joong-Il, Lee, Chang Hoon, Lee, Hae-Young, Raugaliene, Rasa, Marcinkeviciene, Jolanta Elena, Kavaliauskiene, Roma, Deinum, Jaap, Kroon, Abraham, van den Born, Bert-Jan, Januszewicz, Andrzej, Tykarski, Andrzej, Walczewska, Jolanta, Gaciong, Zbigniew, Wiecek, Andrzej, Chrostowska, Marzena, Kleinrok, Andrzej, Krekora, Jan, Kania, Grzegorz, Podrazka-Szczepaniak, Anna, Golawski, Cezary, Podziewski, Maciej, Kaczmarek, Barbara, Skoczylas, Grzegorz, Wilkolaski, Andrzej, Wozniak, Iwona, Janik-Palazzolo, Marzena, Rewerska, Barbara, Konradi, Aleksandra, Shvarts, Yuriy, Pecherina, Tamara, Nikolaev, Konstantin, Liudmila, Gapon, Orlikova, Olga, Mordovin, Viktor, Petrochenkova, Natalia, Kamalov, Gadel, Kosmacheva, Elena, Tyrenko, Vadim, Gorbunov, Vladimir, Obrezan, Andrey, Supryadkina, Tatiana, Ler, Irina, Kotenko, Oleg, Kuzin, Anatoly, Martínez García, Fernando, Redon, Josep, Oliveras, Anna, Beltran Romero, Luis, Shatylo, Valerii, Rudenko, Leonid, Bazylevych, Andriy, Rudyk, Yurii, Karpenko, Oleksandr, Stanislavchuk, Mykola, Tseluyko, Vira, Kushnir, Mykola, Asanov, Ervin, Sirenko, Yuriy, Yagensky, Andriy, Collier, David, Gupta, Pankaj, Webb, David, MacLeod, Mary, McLay, James, Peace, Aaron, Arora, Samir, Buchanan, Patricia, Harris, Robert, Degarmo, Ronald, Guillen, Mario, Karns, Adam, Neutel, Joel, Paliwal, Yogesh, Pettis, Karlton, Toth, Phillip D., Wayne, Jeffrey M., Butcher, Michael Bain, Diller, Phillip M., Oparil, Suzanne, Calhoun, David, Brautigam, Donald, Flack, John, Goldman, Jesse M., Rashidi, Arash, Aslam, Nabeel, Haley, William, Andrawis, Nabil, Lang, Brian, Miller, Randy, Powell, James, Dewhurst, Robert, Pritchard, James, Khanna, Dinesh, Tang, Dennis, Gabra, Nashwa, Park, Jean, Jones, Conigliaro, Scott, Cranford, Luna, Blanca, Mussaji, Murtaza, Bhagwat, Ravi, Bauer, Michael, McGinty, John, Nambiar, Rajesh, Sangrigoli, Renee, Davis, William Ross, Eaves, William, McGrew, Frank, Awad, Ahmed, Bolster, Eric, Scott, David, Kalirao, Paramjit, Dabel, Pascal, Calhoun, Wesley, Gouge, Steven, Warren, Mark, Lawrence, Mary Katherine, Jamal, Aamir, El-Shahawy, Mohamed, Mercado, Carlos, Kumar, Jayant, Velasquez-Mieyer, Pedro, Busch, Robert, Lewis, Todd, Rich, Lisa, Schlaich, Markus P, Bellet, Marc, Weber, Michael A, Danaietash, Parisa, Bakris, George L, Flack, John M, Dreier, Roland F, Sassi-Sayadi, Mouna, Haskell, Lloyd P, Narkiewicz, Krzysztof, and Wang, Ji-Guang

Published
2022
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17. Real-world Treatment Sequencing in Patients with Metastatic Castration-resistant Prostate Cancer: Results from the Prospective, International, Observational Prostate Cancer Registry

Author

Bjartell, Anders, Costa, Luis, Kramer, Gero, Zurawski, Bogdan, Galli, Luca, Werbrouck, Patrick, Ecke, Thorsten, Parikh, Omi, Bennamoun, Mostefa, Garcia Freire, Camilo, Peer, Avivit, Ljungberg, Börje, Cicin, Irfan, Smith, Emma, Lukac, Martin, Wapenaar, Robert, and Chowdhury, Simon

Published
2022
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18. Woodland planting on UK pasture land is not economically feasible, yet is more profitable than some traditional farming practices

Author

Flack Jessica, Lukac Martin, and Todman Lindsay

Subjects
carbon sequestration, land use, afforestation, planting scenarios, ecosystem services, climate change mitigation, Forestry, SD1-669.5
Abstract

Increasing ecosystem service provision is a key strategy of the UK’s ongoing agricultural and environmental policy reforms. Enhancing forest cover by 4%, particularly on the least productive agricultural land, aims to maximise carbon sequestration and achieve net zero by 2050. Multiple factors affect the sequestration potential of afforestation schemes and landowner participation in them, highlighting the need for spatially explicit research. We used the InVEST Carbon Model to investigate the Loddon Catchment, southeast England as a study area. We assessed the carbon sequestration potential and economic feasibility of three broadleaved woodland planting scenarios; arable, pasture, and stakeholder-approved (SA) scenario. We found that over a 50-year time horizon, woodland planting on arable land has the greatest sequestration potential (4.02 tC ha−1 yr−1), compared to planting on pasture land (3.75 tC ha−1 yr−1). When monetising carbon sequestration at current market rates, woodland planting on agricultural land incurs a loss across all farm types. However, when including the value of unpaid labour, lowland pasture farms presently incur a greater loss (−€285.14 ha−1 yr−1) than forestry (−€273.16 ha−1 yr−1), making forestry a more economical land use. Subsidising up to the social value of carbon (€342.23 tC−1) significantly reduces this loss and may make afforestation of pasture land more appealing to farmers. Woodland planting on lowland pasture land would increase forest cover by up to 3.62%. However, due to the influence of farmer attitudes on participation, it is more realistic for afforestation to occur on lowland pasture land in the SA scenario, equating to a 0.74% increase.

Published
2022
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19. Selecting Algorithms Without Meta-features

Author

Lukac, Martin, Bayanov, Ayazkhan, Li, Albina, Abiyeva, Kamila, Izbassarova, Nadira, Gabidolla, Magzhan, Kameyama, Michitaka, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Del Bimbo, Alberto, editor, Cucchiara, Rita, editor, Sclaroff, Stan, editor, Farinella, Giovanni Maria, editor, Mei, Tao, editor, Bertini, Marco, editor, Escalante, Hugo Jair, editor, and Vezzani, Roberto, editor

Published
2021
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20. Remove to Improve?

Author

Abdiyeva, Kamila, Lukac, Martin, Ahuja, Narendra, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Del Bimbo, Alberto, editor, Cucchiara, Rita, editor, Sclaroff, Stan, editor, Farinella, Giovanni Maria, editor, Mei, Tao, editor, Bertini, Marco, editor, Escalante, Hugo Jair, editor, and Vezzani, Roberto, editor

Published
2021
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21. Context Based Visual Content Verification

Author

Lukac, Martin, Bazarbayeva, Aigerim, and Kameyama, Michitaka

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper the intermediary visual content verification method based on multi-level co-occurrences is studied. The co-occurrence statistics are in general used to determine relational properties between objects based on information collected from data. As such these measures are heavily subject to relative number of occurrences and give only limited amount of accuracy when predicting objects in real world. In order to improve the accuracy of this method in the verification task, we include the context information such as location, type of environment etc. In order to train our model we provide new annotated dataset the Advanced Attribute VOC (AAVOC) that contains additional properties of the image. We show that the usage of context greatly improve the accuracy of verification with up to 16% improvement., Comment: 6 pages, 6 Figures, Published in Proceedings of the Information and Digital Technology Conference, 2017

Published
2017

22. Building a Completely Reversible Computer

Author

Lukac, Martin, Dueck, Gerhard W., Kameyama, Michitaka, and Pathak, Anirban

Subjects
Quantum Physics, Computer Science - Emerging Technologies
Abstract

A critical analysis of the feasibility of reversible computing is performed. The key question is: Is it possible to build a completely reversible computer? A closer look into the internal aspects of the reversible computing as well as the external constraints such as the second law of thermodynamics has demonstrated that several difficulties would have to be solved before reversible computer is being built. It is shown that a conventional reversible computer would require energy for setting up the reversible inputs from irreversible signals, for the reading out of the reversible outputs, for the transport of the information between logic elements and finally for the control signals that will require more energy dissipating into the environment. A loose bound on the minimum amount of energy required to be dissipated during the physical implementation of a reversible computer is obtained and a generalization of the principles for reversible computing is provided., Comment: 15 pages, 8 figures, 2 tables

Published
2017

23. Minimization of Quantum Circuits using Quantum Operator Forms

Author

Lukac, Martin, Kameyama, Michitaka, Perkowski, Marek, and Kerntopf, Pawel

Subjects
Quantum Physics
Abstract

In this paper we present a method for minimizing reversible quantum circuits using the Quantum Operator Form (QOF); a new representation of quantum circuit and of quantum-realized reversible circuits based on the CNOT, CV and CV$^\dagger$ quantum gates. The proposed form is a quantum extension to the well known Reed-Muller but unlike the Reed-Muller form, the QOF allows the usage of different quantum gates. Therefore QOF permits minimization of quantum circuits by using properties of different gates than only the multi-control Toffoli gates. We introduce a set of minimization rules and a pseudo-algorithm that can be used to design circuits with the CNOT, CV and CV$^\dagger$ quantum gates. We show how the QOF can be used to minimize reversible quantum circuits and how the rules allow to obtain exact realizations using the above mentioned quantum gates., Comment: 11 pages, 14 figures, Proceedings of the ULSI Workshop 2012 (@ISMVL 2012)

Published
2017

27. On Minimal Accuracy Algorithm Selection in Computer Vision and Intelligent Systems

Author

Lukac, Martin, Abdiyeva, Kamila, and Kameyama, Michitaka

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper we discuss certain theoretical properties of algorithm selection approach to image processing and to intelligent system in general. We analyze the theoretical limits of algorithm selection with respect to the algorithm selection accuracy. We show the theoretical formulation of a crisp bound on the algorithm selector precision guaranteeing to always obtain better than the best available algorithm result.

Published
2016

28. Reasoning and Algorithm Selection Augmented Symbolic Segmentation

Author

Lukac, Martin, Abdiyeva, Kamila, and Kameyama, Michitaka

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper we present an alternative method to symbolic segmentation: we approach symbolic segmentation as an algorithm selection problem. That is, let there be a set A of available algorithms for symbolic segmentation, a set of input features $F$, a set of image attribute $\mathbb{A}$ and a selection mechanism $S(F,\mathbb{A},A)$ that selects on a case by case basis the best algorithm. The semantic segmentation is then an optimization process that combines best component segments from multiple results into a single optimal result. The experiments compare three different algorithm selection mechanisms using three selected semantic segmentation algorithms. The results show that using the current state of art algorithms and relatively low accuracy of algorithm selection the accuracy of the semantic segmentation can be improved by 2\%., Comment: arXiv admin note: substantial text overlap with arXiv:1505.07934

Published
2016

30. Real-World Safety and Efficacy Outcomes with Abiraterone Acetate Plus Prednisone or Prednisolone as the First- or Second-Line Treatment for Metastatic Castration-Resistant Prostate Cancer: Data from the Prostate Cancer Registry

Author

Bjartell, Anders, Lumen, Nicolaas, Maroto, Pablo, Paiss, Thomas, Gomez-Veiga, Francisco, Birtle, Alison, Kramer, Gero, Kalinka, Ewa, Spaëth, Dominique, Feyerabend, Susan, Matveev, Vsevolod, Lefresne, Florence, Lukac, Martin, Wapenaar, Robert, Costa, Luis, and Chowdhury, Simon

Published
2021
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32. Symbolic Segmentation Using Algorithm Selection

Author

Lukac, Martin, Abdiyeva, Kamila, and Kameyama, Michitaka

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

In this paper we present an alternative approach to symbolic segmentation; instead of implementing a new method we approach symbolic segmentation as an algorithm selection problem. That is, let there be $n$ available algorithms for symbolic segmentation, a selection mechanism forms a set of input features and image attributes and selects on a case by case basis the best algorithm. The selection mechanism is demonstrated from within an algorithm framework where the selection is done in a set of various algorithm networks. Two sets of experiments are performed and in both cases we demonstrate that the algorithm selection allows to increase the result of the symbolic segmentation by a considerable amount.

Published
2015

33. Addition of Biochar and Fertiliser Drives Changes in Soil Organic Matter and Humic Substance Content in Haplic Luvisol.

Author

Šimanský, Vladimír, Horák, Ján, and Lukac, Martin

Subjects
HUMUS, BIOCHAR, CARBON in soils, ORGANIC compounds, SOIL classification, SOIL formation, MASS burials
Abstract

Humic substances (HSs) constitute a primary component of soil organic matter (SOM) and play a crucial role in soil formation and fertility. However, comprehensive information regarding quantitative and qualitative changes in HS following biochar's application to soil still needs to be improved. This study reports on the impact of biochar application at rates of 0, 10, and 20 t ha−1 (B0, B10, B20), both with and without nitrogen fertilisation at varying levels (N0, N1, N2), on SOM and HS contents throughout the cropping seasons between 2014 and 2019. The findings reveal changes in SOM and HS contents due to biochar addition and fertilisation. Notably, the most substantial increase in soil organic carbon content was observed in the B20N1 and B10N1 treatments, in stark contrast with the reference B0N0 treatment. A decrease in humification of SOM was noted across all treatments involving biochar, whether alone or combined with different N fertilisation levels. An interesting positive change in HS contents was observed in B10N2, where an increase in humic acids and a decrease in fulvic acids enhanced HS stability and improved HS quality. These findings shed light on the intricate dynamics of SOM and HSs in response to biochar application and nitrogen fertilisation over multiple vegetation seasons of crops on loamy Haplic Luvisols in Central Europe. [ABSTRACT FROM AUTHOR]

Published
2024
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39. Selecting Algorithms Without Meta-features

Author

Lukac, Martin, primary, Bayanov, Ayazkhan, additional, Li, Albina, additional, Abiyeva, Kamila, additional, Izbassarova, Nadira, additional, Gabidolla, Magzhan, additional, and Kameyama, Michitaka, additional

Published
2021
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41. Baseline characteristics of patients with PSMA-PET–positive and –negative disease with high-risk of biochemical recurrence (BCR) after radical prostatectomy (RP) in the ongoing phase 3 PRIMORDIUM study.

Author

Hadaschik, Boris A., Mottet, Nicolas, Ost, Piet, De Nunzio, Cosimo, Tunariu, Nina, Zaucha, Renata, Brasso, Klaus, Osman-Garcia, Ignacio, Tural, Deniz, Lukac, Martin, Stitou, Hind, Pissart, Geneviève, Efficace, Michela, and Fanti, Stefano

Published
2024
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44. Impact of abiraterone acetate plus prednisone or enzalutamide on fatigue and cognition in patients with metastatic castration-resistant prostate cancer: initial results from the observational AQUARiUS study

Author

Thiery-Vuillemin, Antoine, Hvid Poulsen, Mads, Lagneau, Edouard, Ploussard, Guillaume, Birtle, Alison, Dourthe, Louis-Marie, Beal-Ardisson, Dominique, Pintus, Elias, Trepiakas, Redas, Antoni, Laurent, Lukac, Martin, Van Sanden, Suzy, Pissart, Geneviève, and Reid, Alison

Published
2018
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45. Participatory Sensing for Community Data Campaigns: A case study

Author

Acker, Amelia, Lukac, Martin, and Estrin, Deborah

Subjects
Urban Sensing, Community-based Research, Community Engagement, Other Computer Sciences, participatory sensing, community-data campaigns, participatory research, mobile data collection
Abstract

Participatory Sensing is a process whereby individuals and communities use mobile phones and web services to observe, analyze, and present personal and environmental artifacts, events and experiences. In this technical report we describe a community data campaign that made use of smartphone based participatory sensing for environmental needs assessment. Community organizers defined the content of the participatory sensing campaign. 68 individuals participated over the course of 6 weeks, uploading over 450 mini-surveys, including over 700 images.

Published
2010

48. Seismic Deployments and Experiments: PeruNet, GeoNet, and SeismoPhone.

Author

Stubailo, Igor, Lukac, Martin, Mayernik, Matt, Skolnik, Derek, Dominguez, Antonio, Foote, Emily, Guy, Richard, Davis, Paul, and Estrin, Deborah

Subjects
Seismic
Abstract

In conjunction with Caltech and the Geophysical Institute of Peru, we installed our network of 49 seismic sites across steep and shallow subduction regions in Peru. Flat slab subduction is thought to have formed much of the major geology of the western United States some 100 million years ago. By examining such processes presently active in Central and South America we can piece together the history. The data from the Peruvian sites is delivered to UCLA every night and we have collected almost 1 year so far. In the GeoNet experiment, the science objective is to use a rapidly installable wirelessly linked seismic network to make near-real time unaliased observations in aftershock or volcanic zones. The immediate technical objective is to collaborate with Reftek to construct a new generation digital acquisition system (DAS) based on the CENS-developed LEAP (low-power energy aware processing) system and a newly developed low-power A/D converter from Texas Instruments. We also look into the possibility of using the cell phones for seismic data collection and research. Phones are increasingly being equipped with not only accelerometers, but also cameras, Global Positioning System (GPS) receivers and Internet connectivity. This makes them very attractive for use in data mining. We have tested a number of small USB accelerometers and a cell phone on a shake table and the results are encouraging.

Published
2009

49. Subduction Zone Seismic Experiment in Peru: Results From a Wireless Seismic Network

Author

Stubailo, Igor, Lukac, Martin, Mayernik, Matt, Foote, Emily, Guy, Richard, Davis, Paul, Estrin, Deborah, Clayton, Robert, and Husker, Allen

Subjects
Seismic
Abstract

This work describes preliminary results from a 50 station broadband seismic network recently installed from the coast to the high Andes in Peru. UCLA's Center for Embedded Network Sensing (CENS) and Caltech's Tectonic Observatory are collaborating with the IRD (French L'Institut de Recherche pour le Developpement) and the Institute of Geophysics, in Lima Peru in a broadband seismic experiment that will study the transition from steep to shallow slab subduction. The currently installed line has stations located above the steep subduction zone at a spacing of about 6 km. In 2009 we plan to install a line of 50 stations north from this line along the crest of the Andes, crossing the transition from steep to shallow subduction. A further line from the end of that line back to the coast, completing a U shaped array, is in the planning phase. The network is wirelessly linked using multi-hop network software designed by computer scientists in CENS in which data is transmitted from station to station, and collected at Internet drops, from where it is transmitted over the Internet to CENS each night. The instrument installation in Peru is almost finished and we have been receiving data daily from 47 stations (out of total 49) since Jan 2009. Two remain without any network connectivity. The software system provides dynamic link quality based routing, reliable data delivery, and a disruption tolerant shell interface for managing the system from UCLA without the need to travel to Peru. The near real-time data delivery also allows immediate detection of any problems at the sites. We are building a seismic data and GPS quality control toolset that would greatly minimize the station's downtime by alerting the users of any possible problems.

Published
2009

50. Developments on the CENS Structural Health Monitoring Front

Author

Skolnik, Derek, Lukac, Martin, Nigbor, Robert, Wallace, John, Kaiser, William, Kohler, Monica, Mishra, Nilesh, Hao, Shuai, and Govindan, Ramesh

Subjects
Seismic
Abstract

CENS research related to developing and implementing structural health monitoring (SHM) systems is advancing on two distinct but related fronts: ShakeNet, a portable wireless sensor network for rapid, post-event deployments and SHMnet, a novel SHM system for permanent monitoring of tall buildings and special structures in Los Angeles. The primary objective of the SHMnet research is the development of a robust SHM system along with the associated hardware and software, using tall and special structures (e.g., bridges, port structures, dams) in Los Angeles as a testbed. More specifically, the development of a wireless Data Acquisition (DAQ) toolbox suitable for rapid urban deployments, a suite of state-of-the-art sensors for monitoring key structural responses including innovative methods for directly measuring interstory displacements, and probabilistic post-event assessment algorithms based on experimental motion-damage relationships. Progress on these fronts is highlighted. One rather unique aspect of this research stems from partnerships with strong-motion instrumentation programs (SMIPs) such as CSMIP, ANSS, and the LA-DBS. The proposed SHMnet leverages both building access and instrumentation requirements already facilitated by one or more SMIPs. However, a critical look at structural instrumentation guidelines of various SMIP agencies exposed a lack of uniformity of experience-based specifications. To this end, we sought to establish a quantitative basis for key structural instrumentation specifications, namely sample rate, resolution, and time synchronization. This was accomplished by analyzing signal errors associated with data acquisition processes and engineering sensitivity analyses of several intensity measures and engineering demand parameters. Results from these studies will be useful in updating current structural instrumentation specifications of major SMIPs as well as provide specifications for SHMnet tools. ShakeNet is a portable wireless sensor network for instrumenting large civil structures such as buildings and bridges. The focus of ShakeNet design is to take advantage of wireless technology for deployments in structural environments where power or communications infrastructure is nonexistent or unavailable. It is designed to collect structural vibration measurements for up to a week from each node within the network by deployment in large structures within hours after an earthquake. It will consist of 25 sensor nodes and 5 to 10 master-tier nodes (Stargates or other embedded computers) that provide increased communications capacity. The ShakeNet software subsystem is built upon Tenet; programmable wireless sensing software designed for multi-tier sensor networks. ShakeNet will be deployed and tested on several structures that represent a range of structure types, environments, ages, and degrees of retrofit. They include the Seven Oaks Dam in Redlands, CA, the Santa Ana River Bridge in Riverside, CA, 1100 Wilshire Blvd. in downtown Los Angeles, CA, and the Long Beach Veterans Administration Hospital in Long Beach, CA.

Published
2009

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