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483 results on '"Santos, Juan Carlos"'

3. Natural Language Contents Evaluation System for Multi-class News Categorization Using Machine Learning and Transformers

Author

Marrugo, Duván A., Martinez-Santos, Juan Carlos, Puertas, Edwin, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Figueroa-García, Juan Carlos, editor, Hernández, German, editor, Villa Ramirez, Jose Luis, editor, and Gaona García, Elvis Eduardo, editor

Published
2023
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4. 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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6. Career Recommendation System for Validation of Multiple Intelligence to High School Students

Author

Mejia, Maryori Sabalza, Jimenez, Carolina Campillo, Martínez-Santos, Juan Carlos, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Figueroa-García, Juan Carlos, editor, Díaz-Gutierrez, Yesid, editor, Gaona-García, Elvis Eduardo, editor, and Orjuela-Cañón, Alvaro David, editor

Published
2021
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7. Harnessing cross-border resources to confront climate change

Author

Aburto-Oropeza, Octavio, Johnson, Andrew F, Agha, Mickey, Allen, Edith B, Allen, Michael F, González, Jesús Arellano, Moreno, Diego M Arenas, Beas-Luna, Rodrigo, Butterfield, Scott, Caetano, Gabriel, Caselle, Jennifer E, Gaytán, Gamaliel Castañeda, Castorani, Max CN, Cat, Linh Anh, Cavanaugh, Kyle, Chambers, Jeffrey Q, Cooper, Robert D, Arafeh-Dalmau, Nur, Dawson, Todd, de la Vega Pérez, Aníbal Díaz, DiMento, Joseph FC, Guerrero, Saúl Domínguez, Edwards, Matthew, Ennen, Joshua R, Estrada-Medina, Hector, Fierro-Estrada, Natalia, Gadsden, Héctor, Galina-Tessaro, Patricia, Gibbons, Paul M, Goode, Eric V, Gorris, Morgan E, Harmon, Thomas, Hecht, Susanna, Fragoso, Marco Antonio Heredia, Hernández-Solano, Alan, Hernández-Cortés, Danae, Hernández-Carmona, Gustavo, Hillard, Scott, Huey, Raymond B, Hufford, Matthew B, Jenerette, G Darrel, Jiménez-Osornio, Juan, López-Nava, Karla Joana, Reséndiz, Rafael A Lara, Leslie, Heather M, López-Feldman, Alejandro, Luja, Víctor H, Méndez, Norberto Martínez, Mautz, William J, Medellín-Azuara, Josué, Meléndez-Torres, Cristina, de la Cruz, Fausto R Méndez, Micheli, Fiorenza, Miles, Donald B, Montagner, Giovanna, Montaño-Moctezuma, Gabriela, Müller, Johannes, Oliva, Paulina, Álvarez, José Abraham Ortinez, Ortiz-Partida, J Pablo, Palleiro-Nayar, Julio, Figueroa, Víctor Hugo Páramo, Parnell, P Ed, Raimondi, Peter, Ramírez-Valdez, Arturo, Randerson, James T, Reed, Daniel C, Riquelme, Meritxell, Torres, Teresita Romero, Rosen, Philip C, Ross-Ibarra, Jeffrey, Sánchez-Cordero, Victor, Sandoval-Solis, Samuel, Santos, Juan Carlos, Sawers, Ruairidh, Sinervo, Barry, Sites, Jack W, Sosa-Nishizaki, Oscar, Stanton, Travis, Stapp, Jared R, Stewart, Joseph AE, Torre, Jorge, Torres-Moye, Guillermo, Treseder, Kathleen K, Valdez-Villavicencio, Jorge, Jiménez, Fernando I Valle, Vaughn, Mercy, Welton, Luke, Westphal, Michael F, Woolrich-Piña, Guillermo, Yunez-Naude, Antonio, Zertuche-González, José A, and Taylor, J Edward

Subjects
Environmental Sciences, Political Science, Human Society, Climate Action, US southwest, Northern Mexico, Binational collaborations, Environmental innovation, Cross-border transformation, Research integration, Agricultural and Veterinary Sciences, Studies in Human Society, Agricultural, veterinary and food sciences, Environmental sciences, Human society
Abstract

The US and Mexico share a common history in many areas, including language and culture. They face ecological changes due to the increased frequency and severity of droughts and rising energy demands; trends that entail economic costs for both nations and major implications for human wellbeing. We describe an ongoing effort by the Environment Working Group (EWG), created by The University of California's UC-Mexico initiative in 2015, to promote binational research, teaching, and outreach collaborations on the implications of climate change for Mexico and California. We synthesize current knowledge about the most pressing issues related to climate change in the US-Mexico border region and provide examples of cross-border discoveries and research initiatives, highlighting the need to move forward in six broad rubrics. This and similar binational cooperation efforts can lead to improved living standards, generate a collaborative mindset among participating universities, and create an international network to address urgent sustainability challenges affecting both countries.

Published
2018

9. A Machine Learning Approach for Severe Maternal Morbidity Prediction at Rafael Calvo Clinic in Cartagena-Colombia

Author

Arrieta Rodríguez, Eugenia, López-Martínez, Fernando, Martínez Santos, Juan Carlos, 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, Saeed, Khalid, editor, and Dvorský, Jiří, editor

Published
2020
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11. Climate Change and Collapsing Thermal Niches of Mexican Endemic Reptiles 

Author

Sinervo, Barry, Lara Reséndiz, Rafael A, Miles, Donald B, Lovich, Jeffrey E, Ennen, Joshua R, Müller, Johannes, Cooper, Robert D, Rosen, Philip C, Stewart, Joseph A. E, Santos, Juan Carlos, Sites Jr., Jack W, Gibbons, Paul M, Goode, Eric V, Hillard, L. Scott, Welton, Luke, Agha, Mickey, Caetano, Gabriel, Vaughn, Mercy, Meléndez Torres, Cristina, Gadsden, Héctor, Casteñada Gaytán, Gamaliel, Galina Tessaro, Patricia, Valle Jiménez, Fernando I, Valdez Villavicencio, Jorge, Martínez Méndez, Norberto, Piña, Guillermo W, Luja Molina, Victor, Díaz de la Vega Pérez, Aníbal, Arenas Moreno, Diego M, Dominguez Guerrero, Saúl, Fierro, Natalia, Butterfield, Scott, Westph, Michael, Huey, Raymond B, Mautz, William, Sánchez Cordero, Víctor, and Méndez de la Cruz, Fausto R

Published
2017

12. Mathematical Model for Assigning an Optimal Frequency of Buses in an Integrated Transport System

Author

Quintero, Juan Sebastián Mantilla, Martínez Santos, Juan Carlos, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Serrano C., Jairo E., editor, and Martínez-Santos, Juan Carlos, editor

Published
2018
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13. HoloEasy, A Web Application for Computer Generated Holograms

Author

Patiño-Vanegas, Alberto, Diaz-Pacheco, Lenier Leonis, Patiño-Vanegas, John Jairo, Martínez-Santos, Juan Carlos, Barbosa, Simone Diniz Junqueira, Series Editor, Filipe, Joaquim, Series Editor, Kotenko, Igor, Series Editor, Sivalingam, Krishna M., Series Editor, Washio, Takashi, Series Editor, Yuan, Junsong, Series Editor, Zhou, Lizhu, Series Editor, Serrano C., Jairo E., editor, and Martínez-Santos, Juan Carlos, editor

Published
2018
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15. From a Home-Area-Network to a Secure Internet of Things Application

Author

Sabalza-Mejia, Maryori, Magre-Colorado, Luz, Baños, Ivan, Martínez-Santos, Juan Carlos, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Yuan, Junsong, Founding Editor, Figueroa-García, Juan Carlos, editor, Duarte-González, Mario, editor, Jaramillo-Isaza, Sebastián, editor, Orjuela-Cañon, Alvaro David, editor, and Díaz-Gutierrez, Yesid, editor

Published
2019
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27. Early Prediction of Severe Maternal Morbidity Using Machine Learning Techniques

Author

Rodríguez, Eugenia Arrieta, Estrada, Francisco Edna, Torres, William Caicedo, Santos, Juan Carlos Martínez, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Montes y Gómez, Manuel, editor, Escalante, Hugo Jair, editor, Segura, Alberto, editor, and Murillo, Juan de Dios, editor

Published
2016
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28. Abstract P4-07-64: Impact of baseline ECOG, comorbidities, and surgery treatment election on overall survival

Author

Rodriguez-Melendez, Elina A., primary, Pulla-Cadmilema, Emiliano, additional, Avila, Lissette P. Velez, additional, Salazar, Maria del Mar Sanchez, additional, Aguilar, Patricia Tamayo, additional, Bohorquez, Lissette Yagual, additional, Martin-Delgado, Jimmy, additional, Martinez, Glenda Ramos, additional, Matamoros, Katherine Garcia, additional, Maridueña, Mayra Santacruz, additional, Vivanco, Ruth Engracia, additional, Cornejo, Roberto Escala, additional, Merchan, Felipe Campoverde, additional, Guerrero, Isabel Delgado, additional, Floril, Veronica Torres, additional, Gamboa, Diego Garcia, additional, Gomez, Luis Pendola, additional, Cabezas, Elizabeth Gamarra, additional, Santos, Juan Carlos Garces, additional, and Valencia-Espinoza, Evelyn, additional

Published
2023
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29. Perceção dos consumidores portugueses em relação ao consumo de carne cultivada

Author

Santos, Juan Carlos de Jesus dos and Fernandes, Ana Paula

Subjects
Livestock, 06:Água Potável e Saneamento [ODS], Consumo de carne, 12:Produção e Consumo Sustentáveis [ODS], Bem-estar animal, 13:Ação Climática [ODS], Pecuária, Animal welfare, Agricultura celular, Cultured meat, Carne cultivada, 03:Saúde de Qualidade [ODS], Celular agriculture, 04:Educação de Qualidade [ODS], Meat consumption, Environmental sustainability, Sustentabilidade ambiental
Abstract

A carne é um alimento importante na dieta do ser humano devido ao seu conteúdo em proteínas, lípidos e micronutrientes, sendo que, por outro lado, determinados componentes como ácidos gordos saturados, colesterol e purinas são prejudiciais, pelo que o consumo de carne em excesso pode originar problemas de saúde. Os fatores que determinam o consumo de carne são complexos, por exemplo, a demografia, renda, preço, tradição e cultura, crenças religiosas, assim como preocupações ambientais, sociais, éticas e de saúde, podem condicionar o grau de ingestão. Neste âmbito, o crescimento populacional previsto nas próximas décadas, associado à produção intensiva e consumo desenfreado de carne podem colocar em causa a sustentabilidade do sistema alimentar, a segurança alimentar e o futuro do planeta. Existem evidências cientificamente comprovadas de que o sistema alimentar atual, dependente de um setor agropecuário global e intensivo, contribui para o aquecimento global da Terra e para as consequentes alterações climáticas. Desta forma, é necessário procurar soluções para mitigar a produção e o consumo de carne de origem animal, pelo que a implementação de proteínas alternativas pode ser uma das possíveis soluções. Neste sentido, a carne cultivada apresenta-se como uma alternativa viável, sendo produzida a partir de células-tronco de um animal, pelo que não é necessário criar animais para posterior abate. A produção de carne cultivada apresenta inúmeras vantagens, por exemplo, a redução do consumo de recursos como água, energia e solos, quando comparados com a produção de carne na agropecuária. No entanto, também possui algumas limitações e desafios, como por exemplo a neofobia alimentar por parte dos consumidores e o preço da carne cultivada, que está dependente do processo de produção em larga escala. O conhecimento do ser humano em relação aos problemas associados à agropecuária tradicional, assim como a perceção e aceitação dos consumidores em relação à carne cultivada são fundamentais para a implementação da carne cultivada como produto alimentar, sendo relevante avaliar o padrão de consumo de carne pelos consumidores, neste caso, dos portugueses. A perceção e aceitação dos consumidores portugueses são fatores-chave para a entrada deste novo produto no mercado português, sendo que o presente estudo pretende observar o padrão atual de consumo de carne convencional pelos portugueses, observar o grau de preocupação em relação aos vários problemas relacionados com o sistema alimentar, analisar o grau de conhecimento e a perceção dos consumidores sobre a carne cultivada. Neste sentido, desenvolveu-se um inquérito online dirigido a utilizadores de internet, o qual foi distribuído através das redes sociais (Facebook, Instagram, Whatsapp) e por email. O inquérito por questionário aplicado esteve estruturado em 6 secções e composto por 24 questões, sendo colocadas aos participantes questões de escolha múltipla, questões com caixas de verificação, de resposta curta e de escala linear. Disponibilizou-se também aos participantes dois vídeos curtos, os quais eram opcionais e que tiveram a duração de cerca de dois a cinco minutos cada um, tendo como objetivo esclarecer os participantes menos informados. No que se refere ao conteúdo do inquérito por questionário, abordaram-se questões de índole sociodemográfica, assim como problemáticas relacionadas com a agropecuária tradicional, hábitos alimentares dos participantes e questões direcionadas no campo de informação da carne cultivada. Os dados recolhidos foram tratados através do programa Statistical Package for de Social Sciences (SPSS) versão 26.0.0, tendo-se utilizado técnicas básicas de análise exploratória de dados. Nos resultados apresentados, observou-se que 91,9% dos participantes admitem consumir carne convencional, pelo que apenas 2,4% seguem uma dieta vegetariana e 1,3% um regime vegano, sendo que no cômputo geral, 8,0% refere não consumir carne, tendo em conta outras dietas alternativas Por outro lado, apesar de que a carne cultivada ainda não é comercializada em Portugal, mais de metade da amostra (55,2%) admitiu estar mais ou menos familiarizada com a temática, tendo-se observado que 59,0% dos participantes apresentaram disponibilidade em experimentar carne cultivada. Meat is an important food in the human diet due to its content in proteins, lipids and micronutrients, and, on the other hand, certain components such as saturated fatty acids, cholesterol and purines are harmful. can cause health problems. The factors that determine meat consumption are complex, for example, demography, income, price, tradition and culture, religious beliefs, as well as environmental, social, ethical and health concerns, can affect the degree of ingestion. In this context, the expected population growth in the coming decades, associated with intensive production and unbridled consumption of meat, may jeopardize the sustainability of the food system, food security and the future of the planet. There is scientifically proven evidence that the current food system, dependent on a global and intensive agricultural sector, contributes to the global warming of the Earth and the consequent climate change. In this way, it is necessary to look for solutions to mitigate the production and consumption of meat of animal origin, so the implementation of alternative proteins can be one of the possible solutions. In this sense, cultured meat presents itself as a viable alternative, being produced from animal stem cells, so it is not necessary to raise animals for later slaughter. The production of cultured meat has numerous advantages, for example, the reduction of the consumption of resources such as water, energy and soil, when compared to the production of meat in agriculture. However, it also has some limitations and challenges, such as food neophobia on the part of consumers and the price of cultured meat, which is dependent on the large-scale production process. The knowledge of the human being in relation to the problems associated with traditional agriculture, as well as the perception and acceptance of consumers in relation to cultured meat are fundamental for the implementation of cultured meat as a food product, being relevant to evaluate the pattern of meat consumption by consumers., in this case, the Portuguese. The perception and acceptance of Portuguese consumers are key factors for the entry of this new product in the Portuguese market, and the present study intends to observe the current pattern of consumption of conventional meat by the Portuguese, to observe the degree of concern regarding the various related problems. with the food system, to analyze the degree of knowledge and perception of consumers about cultured meat. In this sense, an online survey was developed aimed at internet users, which was distributed through social networks (Facebook, Instagram, Whatsapp) and by email. The applied questionnaire survey was structured in 6 sections and consisted of 24 questions, with multiple choice questions, questions with check boxes, short answer and linear scale questions being asked to the participants. Two short videos were also made available to the participants, which were optional and lasted about two to five minutes each, with the objective of clarifying the less informed participants. With regard to the content of the questionnaire survey, questions of a sociodemographic nature were addressed, as well as issues related to traditional farming, the participants' eating habits and questions related to the field of information on cultured meat. The collected data were processed using the Statistical Package for Social Sciences (SPSS) version 26.0.0, using basic exploratory data analysis techniques. In the results presented, it was observed that 91.9% of the participants admit to consuming conventional meat, so only 2.4% follow a vegetarian diet and 1.3% a vegan diet, and in general, 8.0% refer not to consume meat, taking into account other alternative diets On the other hand, despite the fact that cultured meat is not yet commercialized in Portugal, more than half of the sample (55.2%) admitted to being more or less familiar with the subject, having It was observed that 59.0% of the participants were willing to try cultured meat.

Published
2023

36. Estandarización de un protocolo para obtención de inóculo inactivado de adenovirus aviar serotipos 4 y 8b en células LMH = Protocol standardization for obtaining inactivated inoculum of avian adenovirus serotypes 4 and 8b in LMH cells

Author

Flores Santos, Juan Carlos, Quispe, Juana, Huberman, Yosef Daniel, Mendoza Espinoza, Alfredo, and Caballero García, Melani

Subjects
Inoculation, Organismos Patógenos, Aviadenovirus, Pathogens, Protocolos, Aves, Protocols, Hepatitis, Inoculación
Abstract

Adenovirus aviar tipo 1 (FAdV) es considerado un patógeno de importancia para la industria avícola. Los serotipos 4 (FAdV-4) y 8b (FAdV-8b) son responsables de hepatitis por cuerpos de inclusión (IBH) y síndrome de hidropericardio (HHS) en pollos y son prevalentes en el Perú. El objetivo del presente trabajo fue establecer un protocolo estandarizado de obtención de inóculos virales inactivados de FAdV-4 y FAdV-8b producidos en células de hepatoma de pollo (LMH). Para ello, células LMH al 70 % de confluencia,crecidas en medio DMEM con 10 % de suero fetal bovino, fueron infectadas con FAdV-4 o FAdV-8b para evaluar el valor de multiplicidad de infección (MOI) y tiempo de cosecha óptimos. Luego, se realizó la producción de 1L de ambos serotipos considerando un MOI de 10 y tiempo de cosecha de 96 h post-infección (hpi). Seguidamente, ambas cosechas virales fueron clarificadas y concentradas mediante ultrafiltración tangencial (UFT) en membrana de 100kDa e inactivadas con 30mM de etilenimina binaria (BEI) a 37°C por 18 h. La pérdida de infectividad fue corroborada por el cálculo de dosis infecciosa del 50 % de cultivo de células (TCID50). Nuestros resultados mostraron que con un MOI de 10 y cosecha de 96 hpi se alcanzó el mayor título viral (> 1x108 TCID50/mL). Además, se mostró que la UFT permitió concentrar 10 veces la cantidad de virus con una recuperación del 91% y que la inactivación con BEI fue eficiente. Los inóculos inactivados obtenidos pueden ser utilizados en la formulación de una vacuna para prevenir IBH y HHS en pollos de forma segura. Avian adenovirus type 1 (FAdV) is considered an important pathogen for the poultry industry. Serotypes 4 (FAdV4) and 8b (FAdV-8b) are responsible for Inclusion Body Hepatitis (IBH) and Hydropericardium Syndrome (HHS) in chickens and are prevalent in Perú. The objective of this work was to establish a standardized protocol for obtaining inactivated viral inoculum of FAdV-4 and FAdV-8b produced in chicken hepatoma (LMH) cells. For this, LMH cells at 70 % confluence, grown in DMEM medium with 10 % fetal bovine serum, were infected with FAdV-4 or FAdV-8b to evaluate the optimal multiplicity of infection (MOI) value and harvest time. Then, the production of 1L of both serotypes was carried out considering an MOI of 10 and a harvest time of 96 h postinfection (hpi). Next, both viral harvests were clarified and concentrated by tangential ultrafiltration (UFT) on a 100kDa membrane and inactivated with 30mM Binary Ethyleneimine (BEI) at 37°C for 18 h. Loss of infectivity was corroborated by calculating the 50 % cell culture infectious dose (TCID50). Our results showed that with an MOI of 10 and a harvest time of 96 hpi, the highest viral titer was reached (> 1x108 TCID50/mL). In addition, it was shown that UFT allowed concentrating 10 times the amount of virus with a 91% recovery rate and that inactivation with BEI was efficient. The inactivated inoculum obtained can be used in the formulation of a vaccine to safely prevent IBH and HHS in chickens. EEA Balcarce Fil: Flores Santos, Juan Carlos. Quimtia, Desarrollo e investigación; Perú. Fil: Quispe, Juana. Quimtia, Desarrollo e investigación; Perú. Fil: Huberman, Yosef Daniel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Fil: Mendoza Espinoza, Alfredo. Quimtia, Desarrollo e investigación; Perú. Fil: Caballero García, Melani. Quimtia, Desarrollo e investigación; Perú.

Published
2022

39. Presidential preferences in Colombia through Sentiment Analysis

Author

Puertas, Edwin, Martinez-Santos, Juan Carlos, Pertuz-Duran, Pablo Andres, Puertas, Edwin, Martinez-Santos, Juan Carlos, and Pertuz-Duran, Pablo Andres

Abstract

This work carries out the sentiment analysis of the social network Twitter regarding the presidential debate on May 23, where a hashtag was left open so viewers could give their points of view on these three candidates: Gustavo Petro, Federico Gutierrez, and Rodolfo Hernández. Once we extracted these Tweets contained in the hashtag, they were manually classified. They then went through all the pre-processing and elimination of special characters, links, URLs, images, or videos. Next, the TextVectorization layer from the TensorFlow library was used to convert these tweets to vectors and finally to go through the two models. The results show the best results for the BERT model with an accuracy of 76% and an F1 score of 85%.

Published
2022

40. MALDI-TOF MS for the identification of bacteria from Acropora cervicornis samples with White Band Disease

Author

Fennix Agudelo, Mary Andrea, Zarza González, Esteban, Sánchez Quitian, Zilpa Adriana, Castellanos, Nuri, Martínez Santos, Juan Carlos, Parra Giraldo, Claudia Marcela, Chavarro Mesa, Edisson, Fennix Agudelo, Mary Andrea, Zarza González, Esteban, Sánchez Quitian, Zilpa Adriana, Castellanos, Nuri, Martínez Santos, Juan Carlos, Parra Giraldo, Claudia Marcela, and Chavarro Mesa, Edisson

Abstract

White Band Disease (WBD) is one of the most harmful coral syndromes in the Caribbean, deteriorating the structure of many corals during the eighties and nineties. Since its etiology is not entirely known, the use of techniques aimed a t identifying the associated agents could provide an approach to the composition of the populations involved in the deterioration of A. cervicornis. Therefore, this research's objective was to isolate and characterize bacteria associated with WBD in A. cervicornis from hanging nurseries of Rosario and San Bernardo Corals National Natural Park, Colombia, using MALDI-TO F MS and PCR. The results showed the presence of Bacillus cereus bacteria in individuals with bleaching signs from nurseries and transplant areas on Isla Tesoro and Isla Ceiner. One of these strains sequenced and phylogenetically analyzed was closely related t o Bacillus thuringiensis, with similarities of up to 99%. The presence of B. cereus could indicate a special relationship between this microorganism and WBD. However, it is imperative to carry out more studies on identifying the bacteria associated with this disease to support these findings. © 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.

Published
2022

41. Detection of broken bars in three-phase motors by using curve fits and classification algorithms

Author

Hoyos, Gabriel, Puertas, Edwin, Villa, Jose Luis, Martinez-Santos, Juan Carlos, Hoyos, Gabriel, Puertas, Edwin, Villa, Jose Luis, and Martinez-Santos, Juan Carlos

Abstract

Since they transform electrical energy into mechanical energy, three-phase induction motors are one of the main assets that companies have. Therefore, good monitoring of their conditions and diagnosing their faults is essential. In this article, we propose a curve fitting technique and classification algorithms for a current motor phase to detect broken bars inside the motor. The data set is in the IEEE database, where the data was acquired, simulating the conditions of healthy and broken bars by varying the load condition. The curve fitting technique gives me essential attributes such as the signal's amplitude, frequency, and phase shift, supported by the Fourier transform, which informs how the signal power is a function of frequency. Furthermore, we extracted attributes to train the classifiers, achieving 85% accuracy in classifying the number of broken bars within the engine. © 2022 IEEE.

Published
2022

43. Parallel Quantum Computation Approach for Quantum Deep Learning and Classical-Quantum Models

Author

Payares, Esteban and Martínez-Santos, Juan Carlos

Subjects
History, Parallel Quantum, Computation Approach, Computer Science Applications, Education
Abstract

The paradigm of Quantum computing and artificial intelligence has been growing steadily in recent years and given the potential of this technology by recognizing the computer as a physical system that can take advantage of quantum mechanics for solving problems faster, more efficiently, and accurately. We suggest experimentation of this potential through an architecture of different quantum models computed in parallel. In this work, we present encouraging results of how it is possible to use Quantum Processing Units analogically to Graphics Processing Units to accelerate algorithms and improve the performance of machine learning models through three experiments. The first experiment was a reproduction of a parity function, allowing us to see how the convergence of a given Quantum model is influenced significantly by computing it in parallel. For the second and third experiments, we implemented an image classification problem by training quantum neural networks and using pre-trained models to compare their performances with the same experiments carried out with parallel quantum computations. We obtained very similar results in the accuracies, which were close to 100% and significantly improved the execution time, approximately 15 times faster in the best-case scenario. We also propose an alternative as a proof of concept to address emotion recognition problems using optimization algorithms and how execution times can be positively affected by parallel quantum computation. To do this, we use tools such as the cross-platform software library PennyLane and Amazon Web Services to access high-end simulators with Amazon Braket and IBM quantum experience.

Published
2021

50. Desarrollo de documentos vivos y experimentación con el mundo físico como estrategias para la retención y la atracción de estudiantes de pregrado en los cursos de programación

Author

Serrano Castañeda, Jairo Enrique, Henríquez Núñez, Yuranis, Mantilla Gómez, Juan Carlos, Martínez-Santos, Juan Carlos, Zúñiga Silgado, Isaac, and Bautista Lasprilla, Gloria Isabel

Subjects
Programación, Ciencias computacionales, LEMB, Ingeniería, Enseñanza, Python
Abstract

Este artículo describe las estrategias pedagógicas que fueron planeadas al interior del programa de Ingeniería de Sistemas y Computación adjunto a la Facultad de Ingeniería de la Universidad --- antes de la pandemia, para captar la atención de nuevos estudiantes y mejorar la retención de estudiantes activos. En el caso de atracción de estudiantes nuevos, se crea una actividad promocional basado en las iniciativas relacionadas a Ciencia, Tecnología, Ingeniería y Matemáticas (STEM por sus siglas en inglés), que se presenta en colegios focalizados a partir de eventos académicos y concursos. En el caso de la retención, se rediseñaron aulas digitales a partir de la construcción personalizada de materiales didácticos usados en los cursos fundamentales de ciencias computacionales en los programas de ingeniería y a corto plazo sería un beneficio colateral para la continuidad de operaciones en la época de pandemia. Con estas medidas, el programa logró reducir 7% la deserción intersemestral y aumentar en un 77% en el número de estudiantes en una ventana de cinco años. This article describes the pedagogical strategies planned within the Computer and Systems Engineering program attached to the Faculty of Engineering of the University --- before the COVID-19 pandemic, to attract the attention of new students and improve the retention of active students. In attracting new students, promotional activity is created based on Science, Technology, Engineering and Mathematics (STEM) initiatives, which target schools through academic events and competitions. In retention, we redesigned digital classrooms from the personalized construction of didactic materials used in the fundamental courses of computer science in engineering programs. In the short term, it would be a collateral benefit for the continuity of operations in the time of the pandemic. With these measures, the program reduced inter-monthly dropouts by 7% and increased the number of students by 77% in a five-year window

Published
2021

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