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76 results on '"Jose Nuñez"'

1. Influence of Photovoltaic Systems on Power Quality Problems

Author

Yohan Sanchez-Puentes, Christian Argote-Parra, Waddy Lakatt-Benavides, Jaider Narvaez-Viana, Jose Nuñez-Alvarez, and John Grimaldo-Guerrero

Subjects
Photovoltaic systems, Power quality, Voltage variation, Current harmonics, Electrical network, Environmental sciences, GE1-350, Energy industries. Energy policy. Fuel trade, HD9502-9502.5
Abstract

Photovoltaic (PV) systems have been rapidly implemented in commercial facilities without determining the negative impacts that may result when connected to the facilities' electrical power system. The research presented shows the results of a study of the quality of electrical energy in a commercial installation in which there were no problems before implementing the PV system. Measurements of different parameters of the energy generated by the photovoltaic system and that provided by the electrical network are carried out, carrying out a simulation using the Helioscope software. As a result of the work, voltage variation and current harmonics problems are identified, carrying out a technical and economic analysis of implementing a passive filter that performs the respective corrective actions.

Published
2023
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2. Two-level D- and A-optimal main-effects designs with run sizes one and two more than a multiple of four

Author

Hameed, Mohammed Saif Ismail, Ares, Jose Núñez, Schoen, Eric D., and Goos, Peter

Subjects
Statistics - Methodology, Mathematics - Combinatorics
Abstract

For run sizes that are a multiple of four, the literature offers many two-level designs that are D- and A-optimal for the main-effects model and minimize the aliasing between main effects and interaction effects and among interaction effects. For run sizes that are not a multiple of four, no conclusive results are known. In this paper, we propose two algorithms that generate all non-isomorphic D- and A-optimal main-effects designs for run sizes that are one and two more than a multiple of four. We enumerate all such designs for run sizes up to 18, report the numbers of designs we obtained, and identify those that minimize the aliasing between main effects and interaction effects and among interaction effects. Finally, we compare the minimally aliased designs we found with benchmark designs from the literature.

Published
2024

3. Application of a Visual and Data Analytics Platform for Industry 4.0 Enabled by the Interoperable Data Spine: A Real-World Paradigm for Anomaly Detection in the Furniture Domain

Author

Nizamis, Alexandros, Deshmukh, Rohit A., Vafeiadis, Thanasis, Valencia, Fernando Gigante, Ariño, María José Núñez, Schneider, Alexander, Ioannidis, Dimosthenis, Tzovaras, Dimitrios, Rodríguez-Rodríguez, Raúl, editor, Ducq, Yves, editor, Leon, Ramona-Diana, editor, and Romero, David, editor

Published
2024
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5. Performance and Energy Trade-Offs for Parallel Applications on Heterogeneous Multi-Processing Systems

Author

Coutinho, Demetrios A. M., De Sensi, Daniele, Lorenzon, Arthur Francisco, Georgiou, Kyriakos, Yanez, Jose Nunez, Eder, Kerstin, and de Souza, Samuel Xavier

Subjects
Electrical Engineering and Systems Science - Systems and Control
Abstract

This work proposes a methodology to find performance and energy trade-offs for parallel applications running on Heterogeneous Multi-Processing systems with a single instruction-set architecture. These offer flexibility in the form of different core types and voltage and frequency pairings, defining a vast design space to explore. Therefore, for a given application, choosing a configuration that optimizes the performance and energy consumption is not straightforward. Our method proposes novel analytical models for performance and power consumption whose parameters can be fitted using only a few strategically sampled offline measurements. These models are then used to estimate an application's performance and energy consumption for the whole configuration space. In turn, these offline predictions define the choice of estimated Pareto-optimal configurations of the model, which are used to inform the selection of the configuration that the application should be executed on. The methodology was validated on an ODROID-XU3 board for eight programs from the PARSEC Benchmark, Phoronix Test Suite and Rodinia applications. The generated Pareto-optimal configuration space represented a 99% reduction of the universe of all available configurations. Energy savings of up to 59.77%, 61.38% and 17.7% were observed when compared to the performance, ondemand and powersave Linux governors, respectively, with higher or similar performance., Comment: 24 pages, 7 figures, GitLab repository see https://gitlab.com/lappsufrn/XU3EM

Published
2020
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7. Perinatal outcomes of pregnancies resulting from assisted reproduction technology in SARS-CoV-2-infected women: a prospective observational study

Author

Garrido Luque, María Belén, Fernández, Camino Fernández, Yarza, Ana Villalba, Canedo Carballeira, Esther María, Dueñas Carazo, María Begoña, Aguilar, Rosario Redondo, Sánchez-Vegazo García, Ángeles, Silvares, Esther Álvarez, Pardo Pumar, María Isabel, Álvarez-Mallo, Macarena Alférez, Carmona, Víctor Muñoz, Pérez, Noelia Pérez, Colomo, Cristina Álvarez, Mateu, Onofre Alomar, Di Leo, Claudio Marañon, Millán, María del Carmen Parada, García, Adrián Martín, Martínez, José Navarrina, Fornell, Anna Mundó, Salvador, Elena Pascual, Gómez, Tania Manrique, Meca Casbas, Marta Ruth, Grimalt, Noemí Freixas, Aquise, Adriana, Gil, María del Mar, Amorós, Eduardo Cazorla, Sánchez, Alberto Armijo, Conca Rodero, María Isabel, Oreja Cuesta, Ana Belén, Aguilar, Cristina Ruiz, García, Susana Fernández, Gómez, Mercedes Ramírez, Aguilar Galán, Esther Vanessa, Pérez, Rocío López, Luque, Carmen Baena, Jiménez Losa, Luz María, Pérez, Susana Soldevilla, Granell Escobar, María Reyes, González, Manuel Domínguez, Blaya, Flora Navarro, Wizner de Alva, Juan Carlos, Carulla, Rosa Pedró, Sánchez, Encarnación Carmona, Rodríguez, Judit Canet, Antolín, Eva Morán, Macià, Montse, Pratcorona, Laia, Abásolo, Irene Gastaca, Borde, Begoña Martínez, Ruiz, Óscar Vaquerizo, Aragón, José Ruiz, Seoane, Raquel González, González, María Teulón, González, Lourdes Martín, Heredia, Cristina Lesmes, Broullón Molanes, J. Román, Gimeno Gimeno, María Joaquina, Posadas San Juan, Alma María, Vanegas, Otilia González, Fernández Alonso, Ana María, Meca, Lucía Díaz, Prieto, Alberto Puerta, Martín, María del Pilar Guadix, Orizales Lago, Carmen María, Sainz Bueno, José Antonio, Coello, Mónica Catalina, José Núñez Valera, María, González, Lucas Cerrillos, García, José Adanez, Ferriols-Pérez, Elena, Roqueta, Marta, Encinas Pardilla, María Begoña, Sánchez, Marta García, Rodríguez, Laura González, Recarte, Pilar Pintado, Paredes, Elena Pintado, Payán, Paola Carmona, Iriarte, Yosu Franco, San Frutos Llorente, Luis, Engels Calvo, Virginia, Cruz Melguizo, Sara, Abascal-Saiz, Alejandra, Forcén Acebal, Laura, Sánchez-Migallón, Amalia, Pintado Recarte, Pilar, Cuenca Marín, Celia, Marcos Puig, Beatriz, Del Barrio Fernández, Pablo G., Nieto Velasco, Olga, de la Cruz Conty, María Luisa, and Martínez-Perez, Oscar

Published
2021
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11. Prevención de la radicalización violenta en prisión.

Author

RIMO, ALBERTO ALONSO, GIL, ALICIA GIL, Antón-Mellón, Joan, Casado, Rut Bermejo, de Antonio, José Luís Castro, Paños, Miguel Ángel Cano, Bea, David Colomer, Carrillo, Laura Delgado, Boumnina, Bahae Eddine, Gómez, Carlos Fernández, García, María Isabel García, Olivares, Jose Gallent, Gil, Alicia Gil, Collantes, Tàlia González, Novo, José Luis López, Pous, Enric Miravitllas, Fernández, José Núñez, Herrero, Felicísimo Ramos, RIMO, ALBERTO ALONSO, GIL, ALICIA GIL, Antón-Mellón, Joan, Casado, Rut Bermejo, de Antonio, José Luís Castro, Paños, Miguel Ángel Cano, Bea, David Colomer, Carrillo, Laura Delgado, Boumnina, Bahae Eddine, Gómez, Carlos Fernández, García, María Isabel García, Olivares, Jose Gallent, Gil, Alicia Gil, Collantes, Tàlia González, Novo, José Luis López, Pous, Enric Miravitllas, Fernández, José Núñez, and Herrero, Felicísimo Ramos

Published
2021
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12. Identifying and mitigating energy losses in Tesla turbines: A study on CFD optimization

Author

Yovany Galindo, José Núñez, and Alberto Beltrán

Subjects
efficiency, energy losses, OpenFOAM, Tesla turbine, Technology, Science
Abstract

Abstract This study investigates the flow dynamics and energy losses of Tesla turbines using Computational Fluid Dynamics with OpenFOAM. Our goal is to identify the main sources of energy loss. Four main sources of energy loss were identified. The most significant loss occurred during the conversion of pressure energy to kinetic energy, estimated to range from 88 % to 64 % of the total energy. Energy losses due to leaks between the rotor and the casing were also quantified, ranging from 4.97 % to 7.95 % of the kinetic energy at peak efficiency points. Design modifications, such as incorporating a nozzle at the entrance of the turbine, can improve efficiency. These findings highlight specific areas for efficiency improvement, offering opportunities for improved turbine design and integration into energy‐generation systems.

Published
2024
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15. Planificación virtual y modelo de impresión en 3D para reconstrucción mandibular con colgajo libre de peroné en ameloblastoma mandibular

Author

Gisell Izquierdo-Vela, Roberto Iwaki-Chavez, Silvana Chang-Grozo, and Jose Nuñez-Castañeda

Subjects
General Computer Science
Abstract

El ameloblastoma es un tumor benigno, localmente agresivo, que ocasiona deformidades faciales y con tendencia a la recurrencia. El objetivo del tratamiento del ameloblastoma es la remoción completa del tumor, la restauración de la función y el mantenimiento del aspecto estético. Se presenta el caso de un varón de 19 años que presenta tumoración en región mandibular y acude a consulta para tratamiento quirúrgico. Se realizó planificación virtual y modelo de impresión en 3D para reconstrucción mandibular con colgajo libre de peroné y modelo estereolitográfico para el manejo de su patología. Se observó una evolución post operatoria favorable; y una patología compatible con ameloblastoma mandibular intraóseo de patrón plexiforme. Si bien la cirugía es el tratamiento de elección para el diagnóstico de ameloblastoma; la planificación virtual y el modelo de impresión en 3D para la reconstrucción son herramientas útiles en el manejo de esta patología.

Published
2019
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16. GLICEMIA EN AYUNAS Y PRONOSTICO OBSTRETICO-PERINATAL: UNA NUEVA CONSIDERACION

Author

Percy Pacora Portella, José Núñez Calderón, Delia Moreno Baanante, and Alejandro Barreda Gallegos

Subjects
Gllcemla en ayunas, Complicaciones obstétricas, Desproporción felopelvlca, Medicine
Abstract

En condiciones de ayuno, se extrajeron muestras sanguíneas de 1,560 gestantes peruanas no diabéticas residentes a nivel del mar, en semana 26 a 36 de gestación a fin de establecer valores normales para la glicemia en ayunas en la gestación (método o-toluidina) y comprobar si el pronóstico materno-fatal variaba cuando los valores de glicenúa en ayunas (GA) se encontraban fuera de estos límites. Los percentiles 3, 50, 90 y 95 para GA fueron 50, 67, 80 y 85 mg/d~ respectivamente. Las gestantes con factores de riesgo para diabetes tuvieron GA significativamente mayores aquellas que no los tenían 68 ± 10 versus 66 ± 9 mg/dl, p < 0.02), Se siguió a 1,415 (90.7%) de las gestantes y a 1,043 (67%) de los recién nacidos. La GA mostró una asociación positiva con la presencia de factores de riesgo para diabetes, complicaciones obstétricas, cesárea por desproporción fetopélvica, distocia de hombro y morbi-mortalidad perinatal. Un incremento significativo en el riesgo materno-fetal ocurrió cuando la glicemia en ayunas se encontraba fuera de los límites SO - 79 mg,ldl (2.8 - 4.4 mmol/L). Valores de glicemia en ayunas fuera de estos límites debe considerarse como un indicador pronóstico de mayor riesgo obstétrico y perinatal.

Published
2024

17. Impact of Hemoglobin Levels on Composite Cardiac Arrest or Stroke Outcome in Patients With Respiratory Failure Due to COVID-19

Author

Shi Nan Feng, BSPH, Thu-Lan Kelly, PhD, John F. Fraser, MD, PhD, Gianluigi Li Bassi, MD, PhD, Jacky Suen, PhD, Akram Zaaqoq, MD, MPH, Matthew J. Griffee, MD, Rakesh C. Arora, MD, Nicole White, PhD, Glenn Whitman, MD, Chiara Robba, MD, PhD, Denise Battaglini, MD, PhD, Sung-Min Cho, DO, MHS, on behalf of COVID-19 Critical Care Consortium (CCCC), Robert Bartlett, John F. Fraser, Gianluigi Li Bassi, Jacky Y. Suen, Heidi J. Dalton, John Laffey, Daniel Brodie, Eddy Fan, Antoni Torres, Davide Chiumello, Alyaa Elhazm, Carol Hodgson, Shingo Ichiba, Carlos Luna, Srinivas Murthy, Alistair Nichol, Pauline Yeung Ng, Mark Ogino, Aidan Burrell, Antonio Pesenti, Tala Al-Dabbous, Huda Alfoudri, Mohammed Shamsah, Subbarao Elapavaluru, Ashley Berg, Christina Horn, Yunis Mayasi, Stephan Schroll, Dan Meyer, Jorge Velazco, Ludmyla Ploskanych, Wanda Fikes, Rohini Bagewadi, Marvin Dao, Haley White, Alondra Berrios Laviena, Ashley Ehlers Maysoon, Shalabi-McGuire, Trent Witt, Lorenzo Grazioli, Luca Lorini, E. Wilson Grandin, Jose Nunez, Tiago Reyes, Diarmuid O’Briain, Stephanie Hunter, Mahesh Ramanan, Julia Affleck, Hemanth Hurkadli Veerendra, Sumeet Rai, Josie Russell-Brown, Mary Nourse, Mark Joseph, Brook Mitchell, Martha Tenzer, Ryuzo Abe, Hwa Jin Cho, In Seok Jeong, Nadeem Rahman, Vivek Kakar, Andres Oswaldo Razo Vazquez, Nicolas Brozzi, Omar Mehkri, Sudhir Krishnan Abhijit, Duggal Stuart Houltham, Jerónimo Graf, Roderigo Diaz, Roderigo Orrego, Camila Delgado, Joyce González, Maria Soledad Sanchez, Michael Piagnerelli, Josefa Valenzuela Sarrazin, A/Prof. Gustavo Zabert, Lucio Espinosa, Paulo Delgado, Victoria Delgado, Diego Fernando, Bautista Rincón, Angela Maria Marulanda Yanten, Melissa Bustamante Duque, Alyaa Elhazmi, Abdullah Al-Hudaib, Maria Callahan, M. Azhari Taufik, Elizabeth Yasmin Wardoyo, Margaretha Gunawan, Nurindah S Trisnaningrum, Vera Irawany, Muhammad Rayhan, Mauro Panigada, Alberto Zanella, Giacomo Grasselli, Sebastiano Colombo, Chiara Martinet, Gaetano Florio, Massimo Antonelli, Simone Carelli, Domenico L. Grieco, Motohiro Asaki, Kota Hoshino, Leonardo Salazar, Mary Alejandra Mendoza Monsalve, Bairbre McNicholas, David Cosgrave, Joseph McCaffrey, Allison Bone, Yusuff Hakeem, James Winearls, Mandy Tallott, David Thomson, Christel Arnold-Day, Jerome Cupido, Zainap Fanie, Malcom Miller, Lisa Seymore, Dawid van Straaten, Ali Ait Hssain, Jeffrey Aliudin, Al-Reem Alqahtani, Khoulod Mohamed, Ahmed Mohamed, Darwin Tan, Joy Villanueva, Ahmed Zaqout, Ethan Kurtzman, Arben Ademi, Ana Dobrita, Khadija El Aoudi, Juliet Segura, Gezy Giwangkancana, Shinichiro Ohshimo, Javier Osatnik, Anne Joosten, Minlan Yang, Ana Motos, Francisco Arancibia, Virginie Williams, Alexandre Noel, Nestor Luque, Marina Fantini, Ruth Noemi Jorge García, Enrique Chicote Alvarez, Anna Greti, Adrian Ceccato, Angel Sanchez, Ana Loza Vazquez, Ferran Roche-Campo, Diego Franch-Llasat, Divina Tuazon, Marcelo Amato, Luciana Cassimiro, Flavio Pola, Francis Ribeiro, Guilherme Fonseca, Heidi Dalton, Mehul Desai, Erik Osborn Hala Deeb, Antonio Arcadipane, Gennaro Martucci, Giovanna Panarello, Chiara Vitiello, Claudia Bianco, Giovanna Occhipinti, Matteo Rossetti, Raffaele Cuffaro, Sung-Min Cho, Glenn Whitman, Hiroaki Shimizu, Naoki Moriyama, Jae-Burm Kim, Nobuya Kitamura, Johannes Gebauer, Toshiki Yokoyama, Abdulrahman Al-Fares, Sarah Buabbas, Esam Alamad, Fatma Alawadhi, Kalthoum Alawadi, Hiro Tanaka, Satoru Hashimoto, Masaki Yamazaki, Tak-Hyuck Oh, Mark Epler, Cathleen Forney, Louise Kruse, Jared Feister, Joelle Williamson, Katherine Grobengieser, Eric Gnall, Sasha Golden, Mara Caroline, Timothy Shapiro, Colleen Karaj, Lisa Thome, Lynn Sher, Mark Vanderland, Mary Welch, Sherry McDermott, Matthew Brain, Sarah Mineall, Dai Kimura, Luca Brazzi, Gabriele Sales, Giorgia Montrucchio, Tawnya Ogston, Dave Nagpal, Karlee Fischer, Roberto Lorusso, Rajavardhan Rangappa, Sujin Rai, Argin Appu, Mariano Esperatti, Nora Angélica Fuentes, Maria Eugenia Gonzalez, Edmund G. Carton, Ayan Sen, Amanda Palacios, Deborah Rainey, Gordan Samoukoviv, Josie Campisi, Lucia Durham, Emily Neumann, Cassandra Seefeldt, Octavio Falcucci, Amanda Emmrich, Jennifer Guy, Carling Johns, Kelly Potzner, Catherine Zimmermann, Angelia Espinal, Nina Buchtele, Michael Schwameis, Andrea Korhnfehl, Roman Brock, Thomas Staudinger, Stephanie-Susanne, Stecher Michaela Barnikel, Sófia Antón, Alexandra Pawlikowski, Akram Zaaqoq, Lan Anh Galloway, Caitlin Merley, Marc Csete, Luisa Quesada, Isabela Saba, Daisuke Kasugai, Hiroaki Hiraiwa, Taku Tanaka, Eva Marwali, Yoel Purnama, Santi Rahayu Dewayanti, Ardiyan, Dafsah Arifa Juzar, Debby Siagian, Yih-Sharng Chen, Indrek Ratsep, Andra-Maris Post, Piret Sillaots, Anneli Krund, Merili-Helen Lehiste, Tanel Lepik, Frank Manetta, Effe Mihelis, Iam Claire Sarmiento, Mangala Narasimhan, Michael Varrone, Mamoru Komats, Julia Garcia-Diaz, Catherine Harmon, S. Veena Satyapriya, Amar Bhatt, Nahush A. Mokadam, Alberto Uribe, Alicia Gonzalez, Haixia Shi, Johnny McKeown, Joshua Pasek, Juan Fiorda, Marco Echeverria, Rita Moreno, Bishoy Zakhary, Marco Cavana, Alberto Cucino, Giuseppe Foti, Marco Giani, Benedetta Fumagalli, Valentina Castagna, Andrea Dell’Amore, Paolo Navalesi, Hoi-Ping Shum, Alain Vuysteke, Asad Usman, Andrew Acker, Benjamin Smood, Blake Mergler, Federico Sertic, Madhu Subramanian, Alexandra Sperry, Nicolas Rizer, Erlina Burhan, Menaldi Rasmin, Ernita Akmal, Faya Sitompul, Navy Lolong, Bhat Naivedh, Simon Erickson, Peter Barrett, David Dean, Julia Daugherty, Antonio Loforte, Irfan Khan, Mohammed Abraar Quraishi, Olivia DeSantis, Dominic So, Darshana Kandamby, Jose M. Mandei, Hans Natanael, Eka YudhaLantang, Anastasia Lantang, Surya Oto Wijaya, Anna Jung, George Ng, Wing Yiu Ng, Shu Fang, Alexis Tabah, Megan Ratcliffe, Maree Duroux, Shingo Adachi, Shota Nakao, Pablo Blanco, Ana Prieto, Jesús Sánchez, Meghan Nicholson, Warwick Butt, Alyssa Serratore, Carmel Delzoppo, Pierre Janin, Elizabeth Yarad, Richard Totaro, Jennifer Coles, Bambang Pujo, Robert Balk, Andy Vissing, Esha Kapania, James Hays, Samuel Fox, Garrett Yantosh, Pavel Mishin, Saptadi Yuliarto, Kohar Hari Santoso, Susanthy Djajalaksana, Arie Zainul Fatoni, Masahiro Fukuda, Keibun Liu, Paolo Pelosi, Denise Battaglini, Juan Fernando Masa Jiménez, Diego Bastos, Sérgio Gaião, Desy Rusmawatiningtyas, Young-Jae Cho, Su Hwan Lee, Tatsuya Kawasaki, Laveena Munshi, Pranya Sakiyalak, Prompak Nitayavardhana, Tamara Seitz, Rakesh Arora, David Kent, Daniel Marino, Swapnil Parwar, Andrew Cheng, Jennene Miller, Shigeki Fujitani, Naoki Shimizu, Jai Madhok, Clark Owyang, Hergen Buscher, Claire Reynolds, Olavi Maasikas, Aleksan Beljantsev, Vladislav Mihnovits, Takako Akimoto, Mariko Aizawa, Kanako Horibe, Ryota Onodera, Meredith Young, Timothy George, Kiran Shekar, Niki McGuinness, Lacey Irvine, Brigid Flynn, Tomoyuki Endo, Kazuhiro Sugiyama, Keiki Shimizu, Kathleen Exconde, Leslie Lussier, Gösta Lotz, Maximilian Malfertheiner, Lars Maier, Esther Dreier, Neurinda Permata Kusumastuti, Colin McCloskey, Al-Awwab Dabaliz, Tarek B Elshazly, Josiah Smith, Konstanty S. Szuldrzynski, Piotr Bielański, Keith Wille, Ken Kuljit, S. Parhar, Kirsten M. Fiest, Cassidy Codan, Anmol Shahid, Mohamed Fayed, Timothy Evans, Rebekah Garcia, Ashley Gutierrez, Tae Song, Rebecca Rose, Suzanne Bennett, Denise Richardson, Giles Peek, Lovkesh Arora, Kristina Rappapport, Kristina Rudolph, Zita Sibenaller, Lori Stout, Alicia Walter, Daniel Herr, Nazli Vedadi, Shaun Thompson, Julie Hoffman, Xiaonan Ying, Ryan Kennedy, Muhammed Elhadi, Matthew Griffee, Anna Ciullo, Yuri Kida, Ricard Ferrer Roca, JordI Riera, Sofia Contreras, Cynthia Alegre, Christy Kay, Irene Fischer, Elizabeth Renner, Hayato Taniguci, John Fraser, Jacky Suen, Adrian Barnett, Nicole White, Kristen Gibbons, Simon Forsyth, Amanda Corley, India Pearse, Samuel Hinton, Gabriella Abbate, Halah Hassan, Silver Heinsar, Varun A Karnik, Katrina Ki, Hollier F. O’Neill, Nchafatso Obonyo, Leticia Pretti Pimenta, Janice D. Reid, Kei Sato, Aapeli Vuorinen, Karin S. Wildi, Emily S. Wilson, Stephanie Yerkovich, James Lee, Daniel Plotkin, Barbara Wanjiru Citarella, Laura Merson, Emma Hartley, Bastian Lubis, Takanari Ikeyama, Balu Bhaskar, Jae-Seung Jung, Shay McGuinness, Glenn Eastwood, Sandra Rossi Marta, Fabio Guarracino, Stacy Gerle, Emily Coxon, Bruno Claro, Daniel Loverde, Namrata Patil, Vieri Parrini, Angela McBride, Kathryn Negaard, Angela Ratsch, Ahmad Abdelaziz, Juan David Uribe, Adriano Peris, Mark Sanders, Dominic Emerson, Muhammad Kamal, Pedro Povoa, Roland Francis, Ali Cherif, Sunimol Joseph, Matteo Di Nardo, Micheal Heard, Kimberly Kyle, Ray A Blackwell, Patrick Biston, Hye Won Jeong, Reanna Smith, Yogi Prawira, Arturo Huerta Garcia, Nahikari Salterain, Bart Meyns, Marsha Moreno, Rajat Walia, Amit Mehta, Annette Schweda, Moh Supriatna, Cenk Kirakli, Melissa Williams, Kyung Hoon Kim, Alexandra Assad, Estefania Giraldo, Wojtek Karolak, Martin Balik, Elizabeth Pocock, Evan Gajkowski, Kanamoto Masafumi, Nicholas Barrett, Yoshihiro Takeyama, Sunghoon Park, Faizan Amin, Fina Meilyana Andriyani, Serhii Sudakevych, Magdalena Vera, Rodrigo Cornejo, Patrícia Schwarz, Ana Carolina Mardini, Thais de Paula, Ary Serpa Neto, Andrea Villoldo, Alexandre Siciliano Colafranceschi, Alejandro Ubeda Iglesias, Juan Granjean, Lívia Maria Garcia Melro, Giovana Fioravante Romualdo, Diego Gaia, Helmgton Souza, Filomena Galas, Rafael Máñez Mendiluce, Alejandra Sosa, Ignacio Martinez, Hiroshi Kurosawa, Juan Salgado, Beate Hugi-Mayr, Eric Charbonneau, Vitor Salvatore Barzilai, Veronica Monteiro, Rodrigo Ribeiro de Souza, Michael Harper, Hiroyuki Suzuki, Celina Adams, Jorge Brieva, George Nyale, Faisal Saleem Eltatar, Jihan Fatani, Husam Baeissa, Ayman AL Masri, Ahmed Rabie, Mok Yee Hui, Masahiro Yamane, Hanna Jung, Ayorinde Mojisola Margaret, Newell Nacpil, Katja Ruck, Rhonda Bakken, Claire Jara, Tim Felton, Lorenzo Berra, Bobby Shah, Arpan Chakraborty, Monika Cardona, Gerry Capatos, Bindu Akkanti, Abiodun Orija, Harsh Jain, Asami Ito, Brahim Housni, Sennen Low, Koji Iihara, Joselito Chavez, Kollengode Ramanathan, Gustavo Zabert, Krubin Naidoo, Ian Seppelt, Marlice VanDyk, Sarah MacDonald, Randy McGregor, Teka Siebenaler, Hannah Flynn, Kristi Lofton, Toshiyuki Aokage, Kazuaki Shigemitsu, Andrea Moscatelli, Giuseppe Fiorentino, Matthias Baumgaertel, Serge Eddy Mba, Jana Assy, Amelya Hutahaean, Holly Roush, Kay A Sichting, Francesco Alessandri, Debra Burns, Gavin Salt, Carl P. Garabedian, Jonathan Millar, Malcolm Sim, Adrian Mattke, Danny McAuley, Jawad Tadili, Tim Frenzel, Yaron Bar-Lavie, Aaron Blandino Ortiz, Jackie Stone, Antony Attokaran, Michael Farquharson, Brij Patel, Derek Gunning, Kenneth Baillie, Pia Watson, Kenji Tamai, Gede Ketut Sajinadiyasa, Dyah Kanyawati, Marcello Salgado, Assad Sassine, Bhirowo Yudo, Scott McCaul, Bongjin Lee, Sang Min Lee, Arnon Afek, Yoshiaki Iwashita, Bambang Pujo Semedi, Jack Metiva, Nicole Van Belle, Ignacio Martin-Loeches, Lenny Ivatt, Chia Yew Woon, Hyun Mi Kang, Timothy Smith, Erskine James, Nawar Al-Rawas, Yudai Iwasaki, Kenny Chan King-Chung, Vadim Gudzenko, Fabio Taccone, Fajar Perdhana, Yoan Lamarche, Joao Miguel Ribeiro, Nikola Bradic, Klaartje Van den Bossche, Oude Lansink, Gurmeet Singh, Gerdy Debeuckelaere, Henry T. Stelfox, Cassia Yi, Jennifer Elia, Thomas Tribble, Shyam Shankar, Raj Padmanabhan, Bill Hallinan, Luca Paoletti, Yolanda Leyva, Tatuma Fykuda, Jenelle Badulak, Jillian Koch, Amy Hackman, Lisa Janowaik, Deb Hernandez, Jennifer Osofsky, Katia Donadello, Aizah Lawang, Josh Fine, and Benjamin Davidson

Subjects
Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

OBJECTIVES:. Anemia has been associated with an increased risk of both cardiac arrest and stroke, frequent complications of COVID-19. The effect of hemoglobin level at ICU admission on a composite outcome of cardiac arrest or stroke in an international cohort of COVID-19 patients was investigated. DESIGN:. Retrospective analysis of prospectively collected database. SETTING:. A registry of COVID-19 patients admitted to ICUs at over 370 international sites was reviewed for patients diagnosed with cardiac arrest or stroke up to 30 days after ICU admission. Anemia was defined as: normal (hemoglobin ≥ 12.0 g/dL for women, ≥ 13.5 g/dL for men), mild (hemoglobin 10.0–11.9 g/dL for women, 10.0–13.4 g/dL for men), moderate (hemoglobin ≥ 8.0 and < 10.0 g/dL for women and men), and severe (hemoglobin < 8.0 g/dL for women and men). PATIENTS:. Patients older than 18 years with acute COVID-19 infection in the ICU. INTERVENTIONS:. None. MEASUREMENTS AND MAIN RESULTS:. Of 6926 patients (median age = 59 yr, male = 65%), 760 patients (11.0%) experienced stroke (2.0%) and/or cardiac arrest (9.4%). Cardiac arrest or stroke was more common in patients with low hemoglobin, occurring in 12.8% of patients with normal hemoglobin, 13.3% of patients with mild anemia, and 16.7% of patients with moderate/severe anemia. Time to stroke or cardiac arrest by anemia status was analyzed using Cox proportional hazards regression with death as a competing risk. Covariates selected through clinical knowledge were age, sex, comorbidities (diabetes, hypertension, obesity, and cardiac or neurologic conditions), pandemic era, country income, mechanical ventilation, and extracorporeal membrane oxygenation. Moderate/severe anemia was associated with a higher risk of cardiac arrest or stroke (hazard ratio, 1.32; 95% CI, 1.05–1.67). CONCLUSIONS:. In an international registry of ICU patients with COVID-19, moderate/severe anemia was associated with increased hazard of cardiac arrest or stroke.

Published
2024
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18. Decision-making in Nasal Dorsum Reconstruction in Revision Rhinoplasty

Author

Norman Anco, MD, Gonzalo C. Caballero, MD, Karen Valverde, MD, and José Nuñez, MD

Subjects
Surgery, RD1-811
Abstract

Background:. The approach to revision rhinoplasty is a challenge that plastic surgeons often face. The objective of this communication is to describe a surgical algorithm for patients undergoing revision rhinoplasty based on the stability of the nasal dorsum. Methods:. The study included 18 patients, six men and 12 women, aged 19–54 years, who had previously undergone rhinoplasty and who visited our clinic to request a new procedure due to unsatisfactory results in those procedures. A surgical algorithm developed by the main author (N.A.) was followed for revision rhinoplasty, and then a validated rhinoplasty outcome evaluation questionnaire was applied 1 year after surgery to assess aesthetic outcomes. Results:. The questionnaire was applied to all participants, showing a significant increase in patient satisfaction. Before surgery, a minimum value of six and a maximum of 21 (mean of 12) were found. After revision rhinoplasty following the proposed surgical algorithm, a minimum value of 21 and a maximum of 30 (mean of 29) were found, and this difference was statistically significant (P < 0.001). Conclusions:. The surgical algorithm used for nasal dorsum reconstruction in patients undergoing revision rhinoplasty improved patient satisfaction and could be a feasible procedure to approach patients who have previously undergone rhinoplasty.

Published
2024
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19. 2144 - EXPERIENCIA CON DALBAVACINA EN LA PRÁCTICA CLÍNICA

Author

Urbano, Maddalena Elena, Moreno, Juncal Pérez-Somarriba, Castelao, Santiago Fernández, Mata, Carolina Olmos, Lorenzo, Rocio Manzano, Sánchez, Francisco Braojos, Saavedra, Marcos Fragiel, Orantos, Maria Jose Nuñez, Martínez, Miguel Villar, Mateos, Pablo Pérez, Cuchillo, Julia Barrado, Bermúdez, Rosario Iguaran, and Pérez, Vicente Estrada

Published
2023
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20. Solicitación (delito de)

Author

José Núñez Fernández

Subjects
solicitación sexual, funcionario público, autoridad, pretensiones pendientes de resolución, instituciones penitenciarias, Law in general. Comparative and uniform law. Jurisprudence, K1-7720
Abstract

En el presente trabajo se estudian los delitos de solicitación sexual por parte de funcionario público previstos en los apartados 1, 2 y 3 del art. 443 CP. Además del análisis de sus antecedentes históricos y del bien jurídico protegido, se explica su actual ubicación sistemática dentro de los delitos contra la Administración pública y la trascendencia que respecto de su regulación ha tenido la Ley Orgánica 10/2022, de 6 de septiembre, de Garantía Integral de la libertad sexual. Asimismo, se realiza un examen de las cuestiones comunes a las dos modalidades de solicitación que prevé el ordenamiento vigente, así como de sus particularidades, y se lleva a cabo una descripción de los principales problemas concursales que plantean los tipos analizados.

Published
2024
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21. Additional file 3 of The association between SARS-CoV-2 infection and preterm delivery: a prospective study with a multivariable analysis

Author

Martinez-Perez, Oscar, Rodriguez, Pilar Prats, Hernandez, Marta Muner, Pardilla, Maria Begoña Encinas, Perez, Noelia Perez, Hernandez, Maria Rosa Vila, Yarza, Ana Villalba, Velasco, Olga Nieto, Fernandez, Pablo Guillermo Del Barrio, Acebal, Laura Forcen, Lago, Carmen Maria Orizales, Varea, Alicia Martinez, Abellana, Begoña Muñoz, Arana, Maria Suarez, Ricoy, Laura Fuentes, Diago, Clara Martinez, Freire, Maria Jesus Janeiro, Alvarez-Mallo, Macarena Alférez, Pedraz, Cristina Casanova, Onofre Alomar Mateu, Heredia, Cristina Lesmes, De Alva, Juan Carlos Wizner, Vega, Rut Bernardo, Badia, Montserrat Macia, Colomo, Cristina Alvarez, Muñoz, Antonio Sanchez, Alicart, Laia Pratcorona, Saiz, Ruben Alonso, Rodriguez, Monica Lopez, Lopez, Maria Del Carmen Barbancho, Casbas, Marta Ruth Meca, Ruiz, Oscar Vaquerizo, Antolin, Eva Moran, Valera, Maria Jose Nuñez, Camino Fernandez Fernandez, Navarra, Albert Tubau, Garcia, Alejandra Maria Cano, Luque, Carmen Baena, Perez, Susana Soldevilla, Abasolo, Irene Gastaca, Garcia, Jose Adanez, Gonzalez, Maria Teulon, Prieto, Alberto Puertas, Serna, Rosa Ostos, Martin, Maria Del Pilar Guadix, Coello, Monica Catalina, Perez, Elena Ferriols, Africa Caño Aguilar, De La Cruz Conty, Maria Luisa, and Bueno, Jose Antonio Sainz

Subjects
humanities
Abstract

Additional file 3. Patient Consent Form.

Published
2021
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22. Additional file 2 of The association between SARS-CoV-2 infection and preterm delivery: a prospective study with a multivariable analysis

Author

Martinez-Perez, Oscar, Rodriguez, Pilar Prats, Hernandez, Marta Muner, Pardilla, Maria Begoña Encinas, Perez, Noelia Perez, Hernandez, Maria Rosa Vila, Yarza, Ana Villalba, Velasco, Olga Nieto, Fernandez, Pablo Guillermo Del Barrio, Acebal, Laura Forcen, Lago, Carmen Maria Orizales, Varea, Alicia Martinez, Abellana, Begoña Muñoz, Arana, Maria Suarez, Ricoy, Laura Fuentes, Diago, Clara Martinez, Freire, Maria Jesus Janeiro, Alvarez-Mallo, Macarena Alférez, Pedraz, Cristina Casanova, Onofre Alomar Mateu, Heredia, Cristina Lesmes, De Alva, Juan Carlos Wizner, Vega, Rut Bernardo, Badia, Montserrat Macia, Colomo, Cristina Alvarez, Muñoz, Antonio Sanchez, Alicart, Laia Pratcorona, Saiz, Ruben Alonso, Rodriguez, Monica Lopez, Lopez, Maria Del Carmen Barbancho, Casbas, Marta Ruth Meca, Ruiz, Oscar Vaquerizo, Antolin, Eva Moran, Valera, Maria Jose Nuñez, Camino Fernandez Fernandez, Navarra, Albert Tubau, Garcia, Alejandra Maria Cano, Luque, Carmen Baena, Perez, Susana Soldevilla, Abasolo, Irene Gastaca, Garcia, Jose Adanez, Gonzalez, Maria Teulon, Prieto, Alberto Puertas, Serna, Rosa Ostos, Martin, Maria Del Pilar Guadix, Coello, Monica Catalina, Perez, Elena Ferriols, Africa Caño Aguilar, De La Cruz Conty, Maria Luisa, and Bueno, Jose Antonio Sainz

Abstract

Additional file 2: Table S1. List of hospitals included in the study (n = 45); and Table S2. STROBE Statement—checklist of items that should be included in reports of observational studies.

Published
2021
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23. Surgical Treatment and Reconstruction of Nasal Defects According to the Aesthetic Subunits Principles

Author

Jose Nuñez-Castañeda and Silvana Lucia Chang-Grozo

Subjects
medicine.medical_specialty, business.industry, Melanoma, Squamous cell skin cancer, medicine.disease, Primary tumor, Basal cell epithelioma, Surgery, Reconstructive procedures, 03 medical and health sciences, 0302 clinical medicine, Surgical Treatment, Otorhinolaryngology, 030220 oncology & carcinogenesis, Facial aesthetic units, Nasal reconstruction, Head and neck surgery, medicine, Skin cancer, 030223 otorhinolaryngology, business, Surgical treatment
Abstract

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado. The aim of this study was to determine the prevalence of nasal skin cancer, its location by facial aesthetic subunits and the type of reconstructive procedures performed for each nasal subunit after excision for nasal skin tumors. Observational cross-sectional study of all consecutive patients with the diagnosis of skin tumor located in the nasal unit, treated from 2018 to 2019 by the department of head and neck surgery of a general hospital. 60 patients were treated with nasal skin tumors excisions. A total of 52 patients (86,6%) had basal cell skin cancer, 7 (11,6%) had squamous cell skin cancer and 1 (1,6%) had melanoma. Fifty-nine patients (98.33%) presented a primary tumor and just 1 case (1,66%) recived a previous surgical treatment. Regardless of the type of tumor, the tip subunit was the most often involved with 29 (48,33%) cases in total. Despite of the nasal aesthetic subunit affected, the most frequent type of procedure used for reconstruction was the rotation or advancement flap, based on aesthetic nasal subunits, which was performed in 39 cases (65%). Nasal reconstruction after skin cancer can be very complex, especially since all patients have high expectations about the results. In order to achieve good results, there is a necessity for careful analysis of the defect, correct planning and excellent technical execution of the procedures Frequently, staged procedures will be needed to achieve an optimal result. Revisión por pares

Published
2020

24. Advanced Millimeter-Wave Radar System for Real-Time Multiple-Human Tracking and Fall Detection

Author

Zichao Shen, Jose Nunez-Yanez, and Naim Dahnoun

Subjects
millimeter-wave radar, multiple-target tracking, human fall detection, human activity recognition (HAR), real-time processing, internet of things (IoT) application, Chemical technology, TP1-1185
Abstract

This study explored an indoor system for tracking multiple humans and detecting falls, employing three Millimeter-Wave radars from Texas Instruments. Compared to wearables and camera methods, Millimeter-Wave radar is not plagued by mobility inconveniences, lighting conditions, or privacy issues. We conducted an initial evaluation of radar characteristics, covering aspects such as interference between radars and coverage area. Then, we established a real-time framework to integrate signals received from these radars, allowing us to track the position and body status of human targets non-intrusively. Additionally, we introduced innovative strategies, including dynamic Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering based on signal SNR levels, a probability matrix for enhanced target tracking, target status prediction for fall detection, and a feedback loop for noise reduction. We conducted an extensive evaluation using over 300 min of data, which equated to approximately 360,000 frames. Our prototype system exhibited a remarkable performance, achieving a precision of 98.9% for tracking a single target and 96.5% and 94.0% for tracking two and three targets in human-tracking scenarios, respectively. Moreover, in the field of human fall detection, the system demonstrates a high accuracy rate of 96.3%, underscoring its effectiveness in distinguishing falls from other statuses.

Published
2024
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25. A Survey of Computationally Efficient Graph Neural Networks for Reconfigurable Systems

Author

Habib Taha Kose, Jose Nunez-Yanez, Robert Piechocki, and James Pope

Subjects
graph neural networks, FPGA, acceleration, embedded device, quantization, Information technology, T58.5-58.64
Abstract

Graph neural networks (GNNs) are powerful models capable of managing intricate connections in non-Euclidean data, such as social networks, physical systems, chemical structures, and communication networks. Despite their effectiveness, the large-scale and complex nature of graph data demand substantial computational resources and high performance during both training and inference stages, presenting significant challenges, particularly in the context of embedded systems. Recent studies on GNNs have investigated both software and hardware solutions to enhance computational efficiency. Earlier studies on deep neural networks (DNNs) have indicated that methods like reconfigurable hardware and quantization are beneficial in addressing these issues. Unlike DNN research, studies on efficient computational methods for GNNs are less developed and require more exploration. This survey reviews the latest developments in quantization and FPGA-based acceleration for GNNs, showcasing the capabilities of reconfigurable systems (often FPGAs) to offer customized solutions in environments marked by significant sparsity and the necessity for dynamic load management. It also emphasizes the role of quantization in reducing both computational and memory demands through the use of fixed-point arithmetic and streamlined vector formats. This paper concentrates on low-power, resource-limited devices over general hardware accelerators and reviews research applicable to embedded systems. Additionally, it provides a detailed discussion of potential research gaps, foundational knowledge, obstacles, and prospective future directions.

Published
2024
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26. Maca: its uses in menopause

Author

José Núñez-Troconis

Subjects
Maca. Lepidium meyenii. Menopause. Menopausal symptom., Gynecology and obstetrics, RG1-991
Abstract

The Lepidium meyenii plant also known as Peruvian Maca originates from high altitudes in the Andes, and it has a high nutritional content and is extensively used as an herbal supplement for conditions such as sexual dysfunction, semen quality, and menopausal symptoms. This narrative review was conducted to assess the effects of Maca on a variety of conditions but doing emphasis on menopausal symptoms. Studies published in the English and Spanish languages were included in the review. Following the PRISMA guidelines, we identified published studies through an electronic review of the literature searches of PubMed, Medline, ISI, DOAJ, Springer, and Embase. Web of Knowledge, DOAJ, and Google Scholar for original articles written in the English language, and Scielo, Lantidex, Imbiomed-L, Redalyc, and Google Scholar for original articles written in the Spanish language. After reviewing the literature, the information available does not provide enough evidence about the effectiveness of Maca in improving menopausal symptoms.

Published
2024
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27. Menstrual migraine and pathophysiology: estrogens and other factors

Author

José Núñez-Troconis

Subjects
Headache. Migraine disorders. Menstrual migraine. Pathophysiology. Estrogen., Gynecology and obstetrics, RG1-991
Abstract

Migraine is a common disabling brain disorder. Its pathophysiology is now being better understood. It was considered a disorder of blood vessels; new pieces of evidence have led to the conclusion that migraine represents a high interaction between the peripheral and central nervous systems, with the trigeminovascular system and the cerebral cortex among the main players. Menstrual migraine (MM) is a condition in females, where headaches are linked with menstruation. Hormonal fluctuations could have a key role in migraine pathogenesis, as several women experience that their migraine attacks correlate with their menstrual cycle. Estrogen withdrawal appears to have a significant role in migraine associated with menstrual cycles, even though its pathophysiology is not well known. This article highlights some portions of what is known about the pathophysiology of MM and aims to provide a better understanding of MM in women with this condition.

Published
2024
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28. Impact of the 2016 Ecuador Earthquake on Zika Virus Cases

Author

Leonardo Tamariz, Ana Palacio, Jose Nuñez, Denisse Pareja, Wladimir Briones, Diego Vasquez, and John C. Beier

Subjects
Adult, Male, 030231 tropical medicine, Population, AJPH Research, Health Services Accessibility, Zika virus, 03 medical and health sciences, 0302 clinical medicine, Public health surveillance, parasitic diseases, ZikV Infection, Earthquakes, Medicine, Humans, Cumulative incidence, 030212 general & internal medicine, education, education.field_of_study, biology, business.industry, Zika Virus Infection, Incidence (epidemiology), Incidence, Public Health, Environmental and Occupational Health, Odds ratio, Zika Virus, biology.organism_classification, Health care delivery, Population Surveillance, Female, Ecuador, business, Demography
Abstract

Objectives. To evaluate the impact of the April 2016 7.8-magnitude earthquake in Ecuador on the incidence of Zika virus (ZIKV) cases. Methods. We used the national public health surveillance system for reportable transmissible conditions and included suspected and laboratory-confirmed ZIKV cases. We compared the number of cases before and after the earthquake in areas closer to and farther from the epicenter. Results. From January to July 2016, 2234 patients suspected of having ZIKV infection were reported in both affected and control areas. A total of 1110 patients had a reverse transcription-polymerase chain reaction assay, and 159 were positive for ZIKV. The cumulative incidence of ZIKV in the affected area was 11.1 per 100 000 after the earthquake. The odds ratio of having ZIKV infection in those living in the affected area was 8.0 (95% CI = 4.4, 14.6; P Conclusions. A spike in ZIKV cases occurred after the earthquake. Patients in the area closest to the epicenter had a delay in seeking care.

Published
2017

31. Static Malware Analysis Using Low-Parameter Machine Learning Models

Author

Ryan Baker del Aguila, Carlos Daniel Contreras Pérez, Alejandra Guadalupe Silva-Trujillo, Juan C. Cuevas-Tello, and Jose Nunez-Varela

Subjects
malware detection, data representation, static analysis, classification, machine learning, deep learning, Electronic computers. Computer science, QA75.5-76.95
Abstract

Recent advancements in cybersecurity threats and malware have brought into question the safety of modern software and computer systems. As a direct result of this, artificial intelligence-based solutions have been on the rise. The goal of this paper is to demonstrate the efficacy of memory-optimized machine learning solutions for the task of static analysis of software metadata. The study comprises an evaluation and comparison of the performance metrics of three popular machine learning solutions: artificial neural networks (ANN), support vector machines (SVMs), and gradient boosting machines (GBMs). The study provides insights into the effectiveness of memory-optimized machine learning solutions when detecting previously unseen malware. We found that ANNs shows the best performance with 93.44% accuracy classifying programs as either malware or legitimate even with extreme memory constraints.

Published
2024
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32. An international registry for emergent pathogens and pregnancy

Author

Ann-Christin, Tallarek, Brigitte, Strizek, Kurt, Hecher, Paul, Böckenhoff, Susanne, Schrey-Petersen, Edward, Mullins, Rebecca, Bromley, Clare, Whitehead, Daniel, Rolnik, Jan, Deprest, Jute, Richter, Adriana, Gomes Luz, Betania, Bohrer, Carolina, Carvalho Ribeiro-do-Valle, Fernanda, Garanhani Surita, Lavinia, Schuler-Faccini, Maria Celeste, Osorio Wender, Maria Lucia, Da Rocha Oppermann, Renato Augusto, Moreira de sa, Silvana, Quintana, Ana, Sjaus, Arifa, Rahman, Audrey, Hamel-Thibault, Christopher, Nash, Fatima, Kakkar, Howard, Berger, Isabelle, Boucoiran, Jean-Charles, Pasquier, John, Snelgrove, Jonathan, Zipursky, Meagan, Lacroix, Wendy, Whittle, Javiera, Fuenzalida, Jorge, Carvajal, Manuel, Guerra Canales, Olivia, Hernandez, Mingzhu, Yin, Xiang, Chen, Xiaolong, Qi, José Enrique, Sanín Blair, Ricardo, Gonzalez, Africa, Cano Aguilar, Agueda, Rodriguez Vicente, Albert, Tubau Navarra, Alberto, Puertas Prieto, Alejandra Maria, Cano Garcia, Ana, Carrascal Cumplido, Ana, Villalba Yarza, Ana Cristina, Filloy Lavia, Ana Maria, Fernandez Alonso, Angeles, Sanchez Vegazo Garcia, Anna, Goncé, Antonio, Ruano Garcia, Antonio, Sanchez Munoz, Beatriz, Marcos Puig, Begona, Munoz Abellana, Belen, Garrido Luque, Camino, Fernandez Fernandez, Carlos, Larranaga Azcarate, Carmen, Baena Luque, Carmen Maria, Orizales Lago, Cristina, Alvarez Colomo, Cristina, Lesmes Heredia, Cristina, Ruiz Aguilar, Elena, Ferriols Perez, Elena, Pascual Salvador, Encarnacion, Carmona Sanchez, Esther, Alvarez Silvares, Esther Maria, Canedo Carballeira, Eva, Moran Antolin, Eva Maria, Muelas Parraga, Eva Maria, Oviedo Perez, Francisco Jesus, Gonzalez Carvajal, Iène, Agudo, Iratxe, Ocerin Bengoa, Irene, Gastaca Abasolo, Isabel, Cabello de Alba Fernandez, Javier, Alvarez, Jorge, Duro Gomez, Jose, Atxotegi, José, Navarrina Martinez, José, Ruiz Aragon, José Antonio, Sainz Bueno, Jose Manuel, Adanez Garcia, José Roman, Broullon Molanes, Juan Carlos, Wizner de Alva, Laura, Forcen Acebal, Laura, Gonzalez Rodriguez, Longinos, Aceituno Velasco, Lucas, Cerrillos Gonzalez, Lucas, Trigo, Lucia, Diaz Meca, M Carmen, Parada Millan, Magdalena, Molina Oller, Manuel, Dominguez Gonzalez, Mar, Munoz Chapuli Gutierrez, Maria, Caridad Ortiz Herrera, Maria, Nieves Quesada Fernandez, Maria, Suarez Arana, Maria, Teulon Gonzalez, Maria, Zafra Bailera, Maria Begona, Duenas Carazo, Maria Carmen, Gonzalez Macias, Maria del, Pilar Guadix Martin, Maria del Carmen, Barbancho Lopez, Maria del Carmen, Medina Mallen, Maria Isabel, Pardo Pumar, Maria Joaquina, Gimeno Gimeno, Maria José, Nunez Valera, Maria José, Pelegay Escartin, Marta, Camacho Caro, Marta, Garcia Sanchez, Marta Ruth, Meca Casbas, Mercedes, Fraca Padilla, Mercedes, Ramirez Gomez, Monica, Catalina Coello, Monica, Cruz Lemini, Noelia, Perez Perez, Olga, Nieto Velasco, Onofre, Alomar Mateu, Oscar, Martinez Perez, Oscar, Vaquerizo Ruiz, Pablo Guillermo del, Barrio Fernández, Pilar, Monteliu Gonzalez, Pilar, Prats Rodriguez, Porfirio, Vivaracho Terrer, Raquel, Gonzales Seoane, Raquel, Jimenez Velazquez, Rebeca, Alvarez Fernandez, Rocio, Lopez Perez, Rosa Maria, Ostos Serna, Rosario, Redondo Aguilar, Rut, Bernardo Vega, Sandra, Cano, Silvia, Mateos Lopez, Susana, Fernandez Garcia, Susana, Soldevilla Perez, Tania, Manrique Gomez, Vitor, Munoz Carmona, Albert I, Ko, Anthony, Johnson, Karin, Nielsen Saines, Mary, Cambou, Olga, Grechukhina, Sahara, Neupane, Uma, Reddy, Zubin, Shah, Bénédicte, Breton, Charles, Garabedian, Charline, Bertholdt, Christophe, Poncelet, Damien, Subtil, Didier, Musso, Estelle, Henry, Gaetan, Plantefeve, Guillaume, Ducarme, Helene, Pelerin, Jerome, Dimet, Judith, Cottin, Julien, Stiremann, Véronique, Lambert, Najeh, Hcini, Laurent, Salomon, Loïc, Sentilhes, Marylene, Giral, Nicolas, Mottet, Olivier, Morel, Patrick, Rozenberg, Sedille, Lucie, Thibaud, Quibel, Vasiliki, Karagianni, Véronique, Equy, Yves, Ville, Gabriel, Carles, Ina, Ruehl, Brian, Cleary, Fergal, Malone, Mary, Higgins, Michael, Geary, Eran, Hadar, Gustavo, Malinger, Hen, Sela, Karina, Krajden Haratz, Ron, Maymon, Yariv, Yogev, Carmen, De Luca, Marco, De Santis, Telefono, Rosso, David, Atallah, Emilija, Boguziene, Fernando, Germes Pina, Thomas, Van den Akker, Enrique, Gil-Guevara, Jeannette, Marchena, Walter, Ventura, Alcides, Pereira, Diogo, Ayres de Campos, Nadia, Charepe, Pedro, Viana Pinto, Diomede, Ntasumbumuyange, Stephen, Rulisa, Alice, Panchaud, Anda-Petronela, Radan, Andrea, Papadia, Andrea, Bloch, Anis, Feki, Anne-Claude, Muller Brochut, Arnaud, Toussaint, Béatrice, Eggel-Hort, Begoña, Martinez de Tejada, Brigitte, Frey Tirri, Brigitte, Weber, Carolin, Blume, Cécile, Monod, Christian, Kahlert, Cora, Voekt, Daniel, Surbek, David, Baud, Dirk, Bassler, Doris, Mueller, Elke Barbara, Prentl, Eva, Gerber, Friederike, Rothe, Giannoni, Eric, Guillaume, Favre, Irene, Hoesli, Jérôme, Mathis, Karine, Lepigeon, Karoline, Aebi-Popp, Leo, Pomar, Leonhard, Schäffer, Luigi, Raio, Manon, Vouga, Margaret, Huesler Charles, Marie-Claude, Rossier, Markus, Hodel, Martin, Kaufmann, Mathilde, Gavillet, Michel, Boulvain, Monya, Todesco Bernasconi, Myriam, Bickle, Nicole, Ochsenbein Kölble, Omar, Jarrah, Panagiotis, Kanellos, Pascale, Brasier Lutz, Romina, Capoccia Brugger, Sandra, Heldstab, Sandra Andrea, Heldstab, Sylvie, Rouiller Cornu, Tina, Fischer, Ursula, Winterfeld, Valentine, Lambelet, Wawrzyniec, Rieder, Gilbert, Greub, Carole, Gengler, Rena C, Patel, Miguel Angel, Huespe, Albaro José, Nieto-Calvache, Panchaud, Alice, Favre, Guillaume, Pomar, Leo, Vouga, Manon, Aebi-Popp, Karoline, and Baud, David

Published
2020
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33. ‘It is the Journey not the Finish Line’: Predictors of Grit in the Way of St. James Pilgrimage

Author

Ana Rita Nunes, Pedro Rosário, José Núñez, Armanda Pereira, Tânia Moreira, and Cleia Zanatta

Subjects
predictors, pilgrims, the way of st. james, Philosophy. Psychology. Religion, Philosophy of religion. Psychology of religion. Religion in relation to other subjects, BL51-65
Abstract

Few studies have explored how individuals can develop perseverance and passion towards longterm goals. This study addresses this research topic. Predictors of grit were tested while participants progressed on the Way of St. James, a long walk completed by foot or bicycle, taking several days or weeks, to Santiago de Compostela (Spain). 575 pilgrims of various nationalities self-reported measures of grit, harmonious passion, autonomous functioning, and lifelong learning attitudes. To study the association between these variables, path analysis modelling was conducted. The results show that autonomous pilgrims demonstrate more perseverance and passion towards their long-term goals than less autonomous pilgrims. Moreover, pilgrims who reported positive lifelong learning attitudes showed more grit behaviours than their counterparts with fewer lifelong learning attitudes. Finally, results indicate a strong association between autonomy and lifelong learning attitudes. The main conclusions suggest that perseverance with passion towards a long-term goal increases when individuals are congruent with their own interests and values, are not very susceptible to external or internal pressures, and are open to continuing to improve their knowledge and skills, regardless of age. Some implications for future research and practice are also addressed in this paper.

Published
2023
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34. Effect of chemical modifications of tannins on their antimicrobial and antibiofilm effect against Gram-negative and Gram-positive bacteria

Author

Xabier Villanueva, Lili Zhen, José Nunez Ares, Thijs Vackier, Heiko Lange, Claudia Crestini, and Hans P. Steenackers

Subjects
tannins, antibiofilm activity, structure–activity relationships, Salmonella Typhimurium, Escherichia coli, Pseudomonas aeruginosa, Microbiology, QR1-502
Abstract

BackgroundTannins have demonstrated antibacterial and antibiofilm activity, but there are still unknown aspects on how the chemical properties of tannins affect their biological properties. We are interested in understanding how to modulate the antibiofilm activity of tannins and in delineating the relationship between chemical determinants and antibiofilm activity.Materials and methodsThe effect of five different naturally acquired tannins and their chemical derivatives on biofilm formation and planktonic growth of Salmonella Typhimurium, Pseudomonas aeruginosa, Escherichia coli and Staphylococcus aureus was determined in the Calgary biofilm device.ResultsMost of the unmodified tannins exhibited specific antibiofilm activity against the assayed bacteria. The chemical modifications were found to alter the antibiofilm activity level and spectrum of the tannins. A positive charge introduced by derivatization with higher amounts of ammonium groups shifted the anti-biofilm spectrum toward Gram-negative bacteria, and derivatization with lower amounts of ammonium groups and acidifying derivatization shifted the spectrum toward Gram-positive bacteria. Furthermore, the quantity of phenolic OH-groups per molecule was found to have a weak impact on the anti-biofilm activity of the tannins.ConclusionWe were able to modulate the antibiofilm activity of several tannins by specific chemical modifications, providing a first approach for fine tuning of their activity and antibacterial spectrum.

Published
2023
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35. 3,5-Diiodothyronine in vivo maintains euthyroidal expression of type 2 iodothyronine deiodinase, growth hormone, and thyroid hormone receptor beta1 in the killifish

Author

Carlos Valverde-R, Carlota Garcı́a-G, Jose Nuñez, Aurea Orozco, and Lucia N López-Bojorquez

Subjects
Male, medicine.medical_specialty, Physiology, Diiodothyronines, Deiodinase, Thyroid Gland, DIO2, Biology, Response Elements, Hyperthyroidism, Iodide Peroxidase, Gene Expression Regulation, Enzymologic, Hypothyroidism, In vivo, Physiology (medical), Internal medicine, Fundulidae, medicine, Animals, Killifish, RNA, Messenger, chemistry.chemical_classification, Thyroid hormone receptor, Triiodothyronine, Thyroid Hormone Receptors beta, biology.organism_classification, Up-Regulation, Enzyme, Endocrinology, chemistry, Liver, Iodothyronine deiodinase, Growth Hormone, biology.protein
Abstract

Until recently, 3,5-diiodothyronine (3,5-T2) has been considered an inactive by-product of triiodothyronine (T3) deiodination. However, studies from several laboratories have shown that 3,5-T2has specific, nongenomic effects on mitochondrial oxidative capacity and respiration rate that are distinct from those due to T3. Nevertheless, little is known about the putative genomic effects of 3,5-T2. We have previously shown that hyperthyroidism induced by supraphysiological doses of 3,5-T2inhibits hepatic iodothyronine deiodinase type 2 (D2) activity and lowers mRNA levels in the killifish in the same manner as T3and T4, suggesting a pretranslational effect of 3,5-T2(Garcia-G C, Jeziorski MC, Valverde-R C, Orozco A. Gen Comp Endocrinol 135: 201–209, 2004). The question remains as to whether 3,5-T2would have effects under conditions similar to those that are physiological for T3. To this end, intact killifish were rendered hypothyroid by administering methimazole. Groups of hypothyroid animals simultaneously received 30 nM of either T3, reverse T3, or 3,5-T2. Under these conditions, we expected that, if it were bioactive, 3,5-T2would mimic T3and thus reverse the compensatory upregulation of D2 and tyroid receptor β1 and downregulation of growth hormone that characterize hypothyroidism. Our results demonstrate that 3,5-T2is indeed bioactive, reversing both hepatic D2 and growth hormone responses during a hypothyroidal state. Furthermore, we observed that 3,5-T2and T3recruit two distinct populations of transcription factors to typical palindromic and DR4 thyroid hormone response elements. Taken together, these results add further evidence to support the notion that 3,5-T2is a bioactive iodothyronine.

Published
2007

37. Impact of Amplification and Regeneration Schemes on the Blocking Performance and Energy Consumption of Wide-Area Elastic Optical Networks

Author

Astrid Lozada, Felipe Calderon, Jose Nunez Kasaneva, Danilo Borquez-Paredes, Ricardo Olivares, Alejandra Beghelli, Nicolas Jara, Ariel Leiva, and Gabriel Saavedra

Subjects
Elastic optical networks, resource assignment, translucent configuration, transparent configuration, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

This paper studies the physical layer’s impact on the blocking probability and energy consumption of wide-area dynamic elastic optical networks (EONs). For this purpose, we consider five network configurations, each named with a network configuration identifier (NCI) from 1 to 5, for which the Routing, Modulation Level, and Spectrum Assignment (RMLSA) problem is solved. NCI 1–4 are transparent configurations based on all-EDFA, hybrid Raman/EDFA amplifiers (with different Raman gain ratio $\Gamma _{R}$ ), all-DFRA, and alternating span configuration (EDFA and DFRA). NCI 5 is a translucent configuration based on all-EDFA and 3R regenerators. We model the physical layer for every network configuration to determine the maximum achievable reach of optical signals. Employing simulation, we calculate the blocking probability and the energy consumption of the different network configurations. In terms of blocking, our results show that NCI 2 and 3 offer the lowest blocking probability, with at least 1 and 3 orders of magnitude of difference with respect to NCI 1 and 5 at high and low traffic loads, respectively. In terms of energy consumption, the best performing alternatives are the ones with the worst blocking (NCI 1), while NCI 3 exhibits the highest energy consumption with NCI $2\,\,\Gamma _{R}=0.75$ following closely. This situation highlights a clear trade-off between blocking performance and energy cost that must be considered when designing a dynamic EON. Thus, we identify NCI 2 using $\Gamma _{R}=0.25$ as a promising alternative to reduce the blocking probability significantly in wide-area dynamic EONs without a prohibitive increase in energy consumption.

Published
2021
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38. Hepatobiliary ascaridiasis in a young adult woman

Author

Pedro Xavier Marin Castro, José Nuñez Moreno, and José Zuñiga Bohórquez

Subjects
ascaris lumbricoides, vía biliar, ascaridiasis hepatobiliar, coledocoduodenostomía, anastomosis., Medicine (General), R5-920, Internal medicine, RC31-1245
Abstract

The case report of a 27 years patient is presented, with history of conventional cholecystectomy for 10 months due to apparent cholecystitis who went to Luis Vernaza Hospital in Guayaquil, Ecuador, presenting jaundice and abdominal pain. Taking into account the clinical, laboratory and imaging findings a sepsis of abdominal focus, cholangitis and choledocolithiasis was diagnosed. During the surgical intervention the presence of 2 Ascaris lumbricoides and cholesterol calculi in the bile duct was observed, reason why a bilioenteric bypass was carried out. After some complications such as breathing failure and hemodynamic upset, the patient was discharged from the institution 25 days after the surgery, with follow up in outpatient clinics during 2 months.

Published
2020

39. A checklist of Diptera collected in the Caña de Azúcar morgue of Aragua, Venezuela

Author

José Nuñez Rodríguez, Mary Bonilla Villarreal, and Jonathan Liria

Subjects
Chrysomya megacephala, Musca domestica, Necrophagous insects, Blow flies, Forensic entomology, Law in general. Comparative and uniform law. Jurisprudence, K1-7720, Medicine (General), R5-920
Abstract

Abstract Background Venezuela has experienced soaring rates of violent crime, in particular, homicides. The Aragua state with 142 to 168 crimes per 100,000 inhabitants has the highest homicide rate in the last 5 years. All these cases are transferred to the estate morgue. Entomological evidence on cadavers has been used as a tool to clarify the death causes. Due to this, we analyzed the occurrence of forensically important dipteran species on facilities of the Caña de Azúcar morgue in Aragua, Venezuela. Findings A total of 692 adult insects belonging to five species of Calliphoridae and Muscidae were collected at the Caña de Azúcar morgue premises (body holding area and autopsy room). Chrysomya megacephala and Musca domestica were the most frequent species in the morgue areas. Other species with forensic importance were also found: Lucilia cuprina, Chrysomya albiceps, and Ophyra aenescens. Conclusions The results could be used as additional sources of information in Venezuelan criminal investigations.

Published
2020
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40. Sparse and dense matrix multiplication hardware for heterogeneous multi-precision neural networks

Author

Jose Nunez-Yanez and Mohammad Hosseinabady

Subjects
Neural network, FPGA, Quantization, Pruning, Matrix multiplication acceleration, Convolution, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95
Abstract

In this paper, we present hardware accelerators created with high-level synthesis techniques for sparse and dense matrix multiplication operations. The cores can operate with different precisions and are designed to be integrated in a heterogeneous CPU-FPGA system for Edge AI applications. The methodology involves quantization-sparsity aware training and it is applied to a case study consisting of human activity classification. We initially investigate the effects of quantization and sparsity on the accuracy of neural networks with convolution, dense and recurrent layers observing better tolerance to pruning when recurrent layers are present. Then, we propose the hardware accelerators that can switch precision at run-time and work with any matrix size up to a maximum configured at compile time. We compare the performance of these accelerators at different levels of precision and sparsity levels and create a performance model to enable workload balancing. The results show that the proposed sparse matrix multipliers can outperform dense multipliers when sparsity levels are higher than 70% and the improvements are more evident when higher precision arithmetic or structural pruning is used. Additionally, sparsity levels as high as 99% can maintain the level of accuracy required in the network especially when recurrent layers are deployed. Overall, the balance between sparse and dense performance depends on matrix shape, precision, structural pruning and sparsity levels and performance modelling can be used to balance concurrent execution in a heterogeneous configuration.

Published
2021
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41. Assessment of 28-Day In-Hospital Mortality in Mechanically Ventilated Patients With Coronavirus Disease 2019: An International Cohort Study

Author

Gianluigi Li Bassi, MD, PhD, Jacky Y. Suen, BSc, PhD, Nicole White, PhD, Heidi J. Dalton, MD, MCCM, Jonathon Fanning, BSc, MBBS, PhD, FANZCA, FCICM, Amanda Corley, RN, Sally Shrapnel, MBBS, BMedSc, MSc, PhD, FRACGP, Samuel Hinton, PhD, Simon Forsyth, PhD, Rex Parsons, BSc, MMedStats, John G. Laffey, MD, Eddy Fan, MD, PhD, Robert Bartlett, MD, Daniel Brodie, MD, Aidan Burrell, MD, PhD, Davide Chiumello, MD, Alyaa Elhazmi, MD, Giacomo Grasselli, MD, Carol Hodgson, PT, PhD, Shingo Ichiba, MD, Carlos Luna, MD, Eva Marwali, MD, Laura Merson, Bsc, Srinivas Murthy, MD, Alistair Nichol, MD, PhD, Mauro Panigada, MD, Paolo Pelosi, MD, FERS, Antoni Torres, MD, PhD, FERS, Pauline Yeung Ng, MD, Mark Ogino, MD, John F. Fraser, MBChB, PhD, FRCP(Glas), FFARCSI, FRCA, FCICM, on behalf of the COVID-19 Critical Care Consortium, Tala Al-Dabbous, Huda Alfoudri, Mohammed Shamsah, Subbarao Elapavaluru, Ashley Berg, Christina Horn, Stephan Schroll, Jorge Velazco, Ludmyla Ploskanych, Wanda Fikes, Dan Meyer, Ashley Ehlers, Maysoon Shalabi-McGuire, Trent Witt, Lorenzo Grazioli, Luca Lorini, E. Wilson Grandin, Jose Nunez, Tiago Reyes, Diarmuid O’Briain, Stephanie Hunter, Mahesh Ramanan, Julia Affleck, Hemanth Hurkadli Veerendra, Sumeet Rai, Josie Russell-Brown, Mary Nourse, Mark Joseph, Brook Mitchell, Martha Tenzer, Carilion Clinic, Ryuzo Abe, Hwa Jin Cho, In Seok Jeong, Nicolas Brozzi, Omar Mehkri, Sudhir Krishnan, Abhijit Duggal, Stuart Houltham, Jerónimo Graf, Roderigo Diaz, Camila Delgado, Joyce González, Maria Soledad Sanchez, Diego Fernando Bautista Rincón, Angela Maria Marulanda Yanten, Melissa Bustamante Duque, Daniel Brodie, Desy Rusmawatiningtyas, Maria Callahan, M. Azhari Taufik, Elizabeth Yasmin Wardoyo, Margaretha Gunawan, Nurindah S Trisnaningrum, Vera Irawany, Muhammad Rayhan, Mauro Panigada, Antonia Pesenti, Alberto Zanella, Michela Leone, Giacomo Grasselli, Silvia Coppola, Sebastiano Colombo, Massimo Antonelli, Simone Carelli, Domenico L. Grieco, Motohiro Asaki, Kota Hoshino, Leonardo Salazar, Laura Duarte, John Laffey, Bairbre McNicholas, David Cosgrave, Joseph McCaffrey, Allison Bone, Yusuff Hakeem, James Winearls, Mandy Tallott, David Thomson, Christel Arnold-Day, Jerome Cupido, Zainap Fanie, Malcom Miller, Lisa Seymore, Dawid van Straaten, Ali Ait Hssain, Jeffrey Aliudin, Al-Reem Alqahtani, Khoulod Mohamed, Ahmed Mohamed, Darwin Tan, Joy Villanueva, Ahmed Zaqout, Ethan Kurtzman, Arben Ademi, Ana Dobrita, Khadija El Aoudi, Juliet Segura, Gezy Giwangkancana, Shinichiro Ohshimo, Koji Hoshino, Saito Hitoshi, Javier Osatnik, Anne Joosten, Antoni Torres, Minlan Yang, Ana Motos, Carlos Luna, Francisco Arancibia, Virginie Williams, Alexandre Noel, Nestor Luque, Trieu Huynh Trung, Sophie Yacoub, Marina Fantini, Ruth Noemi Jorge García, Enrique Chicote Alvarez, Anna Greti, Adrian Ceccato, Angel Sanchez, Ana Loza Vazquez, Ferran Roche-Campo, Diego Franch-Llasat, Divina Tuazon, Marcelo Amato, Luciana Cassimiro, Flavio Pola, Francis Ribeiro, Guilherme Fonseca, Heidi Dalton, Mehul Desai, Erik Osborn, Hala Deeb, Antonio Arcadipane, Gennaro Martucci, Giovanna Panarello, Chiara Vitiello, Claudia Bianco, Giovanna Occhipinti, Matteo Rossetti, Raffaele Cuffaro, Sung-Min Cho Johns, Hiroaki Shimizu, Naoki Moriyama, Jae-Burm Kim, Nobuya Kitamura, Alyaa Elhazmi, Abdullah Al-Hudaib, Johannes Gebauer, Toshiki Yokoyama, Abdulrahman Al-Fares, Sarah Buabbas, Esam Alamad, Fatma Alawadhi, Kalthoum Alawadi, Hiro Tanaka, Satoru Hashimoto, Masaki Yamazaki, Tak-Hyuck Oh, Mark Epler, Cathleen Forney, Louise Kruse, Jared Feister, Joelle Williamson, Katherine Grobengieser, Eric Gnall, Sasha Golden, Mara Caroline, Timothy Shapiro, Colleen Karaj, Lisa Thome, Lynn Sher, Mark Vanderland, Mary Welch, Sherry McDermott, Matthew Brain, Sarah Mineall, Dai Kimura, Luca Brazzi, Gabriele Sales, Tawnya Ogston, Dave Nagpal, Karlee Fischer, Roberto Lorusso, Mariano Esperatti, Edmund G. Carton, Ayan Sen, Amanda Palacios, Deborah Rainey, Gordan Samoukoviv, Josie Campisi, Emily Neumann, Cassandra Seefeldt, Lucia Durham, Octavio Falcucci, Amanda Emmrich, Jennifer Guy, Carling Johns, Nina Buchtele, Michael Schwameis, Stephanie-Susanne Stecher, Delila Singh, Michaela Barnikel, Lukas Arenz, Akram Zaaqoq, Lan Anh Galloway, Caitlin Merley, Marc Csete, Luisa Quesada, Isabela Saba, Daisuke Kasugai, Hiroaki Hiraiwa, Taku Tanaka, Eva Marwali, Yoel Purnama, Santi Rahayu Dewayanti, Ardiyan, Dafsah Arifa Juzar, Debby Siagian, Kita Jakarta, Yih-Sharng Chen, Mark Ogino, Indrek Ratsep, Getter Oigus, Kristo Erikson, Andra-Maris Post, Lauri Enneveer, Piret Sillaots, Frank Manetta, Effe Mihelis, Iam Claire Sarmiento, Mangala Narasimhan, Michael Varrone, Mamoru Komats, S. Veena Satyapriya, Amar Bhatt, Nahush A. Mokadam, Alberto Uribe, Alicia Gonzalez, Haixia Shi, Johnny McKeown, Joshua Pasek, Juan Fiorda, Marco Echeverria, Rita Moreno, Bishoy Zakhary, Marco Cavana, Alberto Cucino, Giuseppe Foti, Marco Giani, Vincenzo Russotto, Davide Chiumello, Valentina Castagna, Andrea Dell’Amore, Paolo Navalesi, Hoi-Ping Shum, Alain Vuysteke, Asad Usman, Andrew Acker, Benjamin Smood, Blake Mergler, Federico Sertic, Madhu Subramanian, Alexandra Sperry, Nicolas Rizer, Erlina Burhan, Menaldi Rasmin, Ernita Akmal, Faya Sitompul, Navy Lolong, Bhat Naivedh, Simon Erickson, Peter Barrett, David Dean, Julia Daugherty, Antonio Loforte, Irfan Khan, Mohammed Abraar Quraishi, Olivia DeSantis, Dominic So, Darshana Kandamby, Jose M. Mandei, Hans Natanael, Eka YudhaLantang, Anastasia Lantang, Surya Oto Wijaya, Anna Jung, George Ng, Wing Yiu Ng, Pauline Yeung Ng, Alexis Tabah, Megan Ratcliffe, Maree Duroux, Shingo Adachi, Shota Nakao, Pablo Blanco, Ana Prieto, Jesús Sánchez, Meghan Nicholson, Warwick Butt, Alyssa Serratore, Carmel Delzoppo, Pierre Janin, Elizabeth Yarad, Richard Totaro, Jennifer Coles, Bambang Pujo, Robert Balk, Andy Vissing, Esha Kapania, James Hays, Samuel Fox, Garrett Yantosh, Pavel Mishin, Saptadi Yuliarto, Kohar Hari Santoso, Susanthy Djajalaksana, Arie Zainul Fatoni, Masahiro Fukuda, Keibun Liu, Paolo Pelosi, Denise Battaglini, Diego Bastos, Sérgio Gaião, Jessica Buchner, Young-Jae Cho, Su Hwan Lee, Pranya Sakiyalak, Prompak Nitayavardhana, Tamara Seitz, Rakesh Arora, David Kent, Swapnil Parwar, Andrew Cheng, Jennene Miller, Shigeki Fujitani, Naoki Shimizu, Jai Madhok, Clark Owyang, Hergen Buscher, Claire Reynolds, Olavi Maasikas, Aleksan Beljantsev, Vladislav Mihnovits, Takako Akimoto, Mariko Aizawa, Kanako Horibe, Ryota Onodera, Carol Hodgson, Aidan Burrell, Meredith Young, Kiran Shekar, Niki McGuinness, Lacey Irvine, Brigid Flynn, Kazuhiro Sugiyama, Keiki Shimizu, Eddy Fan, Kathleen Exconde, Shingo Ichiba, Leslie Lussier, Gösta Lotz, Lars Maier, Esther Dreier, Neurinda Permata Kusumastuti, Colin McCloskey, Al-Awwab Dabaliz, Tarek B Elshazly, Josiah Smith, Konstanty S. Szuldrzynski, Piotr Bielański, Keith Wille, Srinivas Murthy, Ken Kuljit S. Parhar, Kirsten M. Fiest, Cassidy Codan, Anmol Shahid, Mohamed Fayed, Timothy Evans, Rebekah Garcia, Ashley Gutierrez, Tae Song, Rebecca Rose, Suzanne Bennett, Denise Richardson, Lovkesh Arora, Kristina Rappapport, Kristina Rudolph, Zita Sibenaller, Lori Stout, Alicia Walter, Daniel Herr, Nazli Vedadi, Robert Bartlett, Antonio Pesenti, Shaun Thompson, Lace Sindt, Sean Rajnic, Cale Ewald, Julie Hoffman, Matthew Griffee, Anna Ciullo, Yuri Kida, Ricard Ferrer Roca, JordI Riera, Sofia Contreras, Cynthia Alegre, Christy Kay, Irene Fischer, Elizabeth Renner, Hayato Taniguci, John Fraser, Gianluigi Li Bassi, Jacky Suen, Adrian Barnett, Nicole White, Kristen Gibbons, Simon Forsyth, Amanda Corley, India Pearse, Samuel Hinton, Gabriella Abbate, Halah Hassan, Silver Heinsar, Varun A Karnik, Katrina Ki, Hollier F. O’Neill, Nchafatso Obonyo, Janice D. Reid, Kei Sato, Aapeli Vuorinen, Karin S. Wildi, Emily S. Wood, Stephanie Yerkovich, James Lee, Daniel Plotkin, Laura Merson, Emma Hartley, Bastian Lubis, Takanari Ikeyama, Balu Bhaskar, Jae-Seung Jung, Shay McGuinness, Glenn Eastwood, Sandra Rossi Marta, Fabio Guarracino, Stacy Gerle, Emily Coxon, Bruno Claro, Gonzo Gonzalez-Stawinski, Daniel Loverde, Namrata Patil, Vieri Parrini, Angela McBride, Kathryn Negaard, Angela Ratsch, Ahmad Abdelaziz, Juan David Uribe, Adriano Peris, Mark Sanders, Dominic Emerson, Muhammad Kamal, Pedro Povoa, Roland Francis, Ali Cherif, Sunimol Joseph, Matteo Di Nardo, Micheal Heard, Kimberly Kyle, Ray A Blackwell, Michael Piagnerelli, Patrick Biston, Hye Won Jeong, Reanna Smith, Yogi Prawira, Giorgia Montrucchio, Nadeem Rahman, Vivek Kakar, Josefa Valenzuela Sarrazin, Arturo Huerta Garcia, Nahikari Salterain, Bart Meyns, Marsha Moreno, Rajat Walia, Amit Mehta, Annette Schweda, Moh Supriatna, Bhirowo Yudo, Cenk Kirakli, Melissa Williams, Kyung Hoon Kim, Alexandra Assad, Estefania Giraldo, Wojtek Karolak, Martin Balik, Elizabeth Pocock, Evan Gajkowski, Kanamoto Masafumi, Nicholas Barrett, Yoshihiro Takeyama, Sunghoon Park, Faizan Amin, Fina Meilyana Andriyani, Serhii Sudakevych, Magdalena Vera, Rodrigo Cornejo, Patrícia Schwarz, Ana Carolina Mardini, Ary Serpa Neto, Andrea Villoldo, Alexandre Siciliano Colafranceschi, Alejandro Ubeda, Juan Granjean, Lívia Maria Garcia Melro, Giovana Fioravante Romualdo, Diego Gaia, Helmgton Souza, Filomena Galas, Rafael Máñez Mendiluce, Alejandra Sosa, Ignacio Martinez, Hiroshi Kurosawa, Juan Salgado, Beate Hugi-Mayr, Eric Charbonneau, Vitor Salvatore Barzilai, Veronica Monteiro, Rodrigo Ribeiro de Souza, Michael Harper, Hiroyuki Suzuki, Celina Adams, Jorge Brieva, George Nyale, Faisal Saleem Eltatar, Jihan Fatani, Husam Baeissa, Ayman AL Masri, Ahmed Rabie, Mok Yee Hui, Masahiro Yamane, Hanna Jung, Ayorinde Mojisola, Margaret, Newell Nacpil, Katja Ruck, Rhonda Bakken, Claire Jara, Tim Felton, Lorenzo Berra, Bobby Shah, Arpan Chakraborty, Monika Cardona, Gerry Capatos, Bindu Akkanti, Abiodun Orija, Harsh Jain, Asami Ito, Brahim Housni, Sennen Low, Koji Iihara, Joselito Chavez, Kollengode Ramanathan, Gustavo Zabert, Krubin Naidoo, Ian Seppelt, Marlice VanDyk, Sarah MacDonald, Randy McGregor, Teka Siebenaler, Hannah Flynn, Julia Garcia-Diaz, Catherine Harmon, Kristi Lofton, Toshiyuki Aokage, Kazuaki Shigemitsu, Andrea Moscatelli, Giuseppe Fiorentino, Matthias Baumgaertel, Serge Eddy Mba, Jana Assy, Amelya Hutahaean, Holly Roush, Kay A Sichting, Francesco Alessandri, Debra Burns, Gavin Salt, Carl P. Garabedian, Jonathan Millar, Malcolm Sim, Adrian Mattke, Danny McAuley, Jawad Tadili, Tim Frenzel, Yaron Bar-Lavie, Aaron Blandino Ortiz, Jackie Stone, Antony Attokaran, Michael Farquharson, Brij Patel, Derek Gunning, Kenneth Baillie, Pia Watson, Kenji Tamai, Gede Ketut Sajinadiyasa, Dyah Kanyawati, Marcello Salgado, Assad Sassine, Scott McCaul, Bongjin Lee, Sang Min Lee, Arnon Afek, Yoshiaki Iwashita, Laveena Munshi, Bambang Pujo Semedi, Neurinda Permata, Kusumastuti, Jack Metiva, Nicole Van Belle, Daniel Marino, Ignacio Martin-Loeches, Lenny Ivatt, Chia Yew Woon, Hyun Mi Kang, Timothy Smith, Erskine James, Nawar Al-Rawas, Tomoyuki Endo, Yudai Iwasaki, Kenny Chan King-Chung, Vadim Gudzenko, Fabio Taccone, Fajar Perdhana, Yoan Lamarche, Joao Miguel Ribeiro, Nikola Bradic, Klaartje Van den Bossche, Oude Lansink, Gurmeet Singh, Gerdy Debeuckelaere, Henry T. Stelfox, Cassia Yi, Jennifer Elia, Shu Fang, Thomas Tribble, Shyam Shankar, Raj Padmanabhan, Bill Hallinan, Luca Paoletti, Yolanda Leyva, Tatuma Fykuda, Jenelle Badulak, Jillian Koch, Amy Hackman, Lisa Janowaik, Deb Hernandez, Jennifer Osofsky, Katia Donadello, Aizah Lawang, Josh Fine, Benjamin Davidson, and Andres Oswaldo Razo Vazquez

Subjects
Medical emergencies. Critical care. Intensive care. First aid, RC86-88.9
Abstract

IMPORTANCE:. Factors associated with mortality in coronavirus disease 2019 patients on invasive mechanical ventilation are still not fully elucidated. OBJECTIVES:. To identify patient-level parameters, readily available at the bedside, associated with the risk of in-hospital mortality within 28 days from commencement of invasive mechanical ventilation or coronavirus disease 2019. DESIGN, SETTING, AND PARTICIPANTS:. Prospective observational cohort study by the global Coronavirus Disease 2019 Critical Care Consortium. Patients with laboratory-confirmed coronavirus disease 2019 requiring invasive mechanical ventilation from February 2, 2020, to May 15, 2021. MAIN OUTCOMES AND MEASURES:. Patient characteristics and clinical data were assessed upon ICU admission, the commencement of invasive mechanical ventilation and for 28 days thereafter. We primarily aimed to identify time-independent and time-dependent risk factors for 28-day invasive mechanical ventilation mortality. RESULTS:. One-thousand five-hundred eighty-seven patients were included in the survival analysis; 588 patients died in hospital within 28 days of commencing invasive mechanical ventilation (37%). Cox-regression analysis identified associations between the hazard of 28-day invasive mechanical ventilation mortality with age (hazard ratio, 1.26 per 10-yr increase in age; 95% CI, 1.16–1.37; p < 0.001), positive end-expiratory pressure upon commencement of invasive mechanical ventilation (hazard ratio, 0.81 per 5 cm H2O increase; 95% CI, 0.67–0.97; p = 0.02). Time-dependent parameters associated with 28-day invasive mechanical ventilation mortality were serum creatinine (hazard ratio, 1.28 per doubling; 95% CI, 1.15–1.41; p < 0.001), lactate (hazard ratio, 1.22 per doubling; 95% CI, 1.11–1.34; p < 0.001), Paco2 (hazard ratio, 1.63 per doubling; 95% CI, 1.19–2.25; p < 0.001), pH (hazard ratio, 0.89 per 0.1 increase; 95% CI, 0.8–14; p = 0.041), Pao2/Fio2 (hazard ratio, 0.58 per doubling; 95% CI, 0.52–0.66; p < 0.001), and mean arterial pressure (hazard ratio, 0.92 per 10 mm Hg increase; 95% CI, 0.88–0.97; p = 0.003). CONCLUSIONS AND RELEVANCE:. This international study suggests that in patients with coronavirus disease 2019 on invasive mechanical ventilation, older age and clinically relevant variables monitored at baseline or sequentially during the course of invasive mechanical ventilation are associated with 28-day invasive mechanical ventilation mortality hazard. Further investigation is warranted to validate any causative roles these parameters might play in influencing clinical outcomes.

Published
2021
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42. Sensor Location Analysis and Minimal Deployment for Fall Detection System

Author

Hiram Ponce, Lourdes Martinez-Villasenor, and Jose Nunez-Martinez

Subjects
Ambient assisted living, fall detection, health monitoring system, human activity recognition, machine learning, sensor fusion, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Human falls are considered as an important health problem worldwide. Fall detection systems can alert when a fall occurs reducing the time in which a person obtains medical attention. In this regard, there are different approaches to design fall detection systems, such as wearable sensors, ambient sensors, vision devices, and more recently multimodal approaches. However, these systems depend on the types of devices selected for data acquisition, the location in which these devices are placed, and how fall detection is done. Previously, we have created a multimodal dataset namely UP-Fall Detection and we developed a fall detection system. But the latter cannot be applied on realistic conditions due to a lack of proper selection of minimal sensors. In this work, we propose a methodological analysis to determine the minimal number of sensors required for developing an accurate fall detection system, using the UP-Fall Detection dataset. Specifically, we analyze five wearable sensors and two camera viewpoints separately. After that, we combine them in a feature level to evaluate and select the most suitable single or combined sources of information. From this analysis we found that a wearable sensor at the waist and a lateral viewpoint from a camera exhibits 98.72% of accuracy (intra-subject). At the end, we present a case study on the usage of the analysis results to deploy a minimal-sensor based fall detection system which finally reports 87.56% of accuracy (inter-subject).

Published
2020
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43. Remaining Useful Life Estimation Using Long Short-Term Memory Neural Networks and Deep Fusion

Author

Yang Zhang, Paul Hutchinson, Nicholas A. J. Lieven, and Jose Nunez-Yanez

Subjects
Machine health monitoring, remaining useful life (RUL), long-short term memory, recurrent neural network, data compression, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
Abstract

Estimation of Remaining Useful Life (RUL) is a crucial task in Prognostics and Health Management (PHM) for condition-based maintenance of machinery. In order to transmit and store the sensor data for archiving and long term analysis, data compression techniques are regularly used to reduce the requirements of bandwidth, energy and storage in modern remote PHM systems. In these systems the challenge arises of how the compressed sensor data affects the RUL estimation algorithms. A main drawback of conventional statistical modeling approaches is that they require expert prior knowledge and a significant number of assumptions. Alternative regression based approaches and deep neural networks are known to have issues when modeling long-term dependencies in the sequential data. Recently Long Short-Term Memory (LSTM) neural networks have been proposed to overcome these issues and in this paper we create a LSTM network and data fusion approach that can estimate the RUL with compressed (distorted) data. The experimental results indicate that the proposed method is able to estimate RUL reliably with narrower error bands compared to other state-of-the-art approaches. Moreover, the proposed method is able to predict RUL from both the raw and compressed datasets with comparable accuracy.

Published
2020
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44. Reconstrucción primaria con implantes personalizados después de resección de gran tumoración craneofacial

Author

José Nuñez, Gustavo Saenz, Roberto Chávez-Asmat, and Paul Jesús Tejada-LLacsa

Subjects
reconstrucción, prótesis e implantes, prueba de biocompatibilidad, neoplasias craneales, fibroma, Medicine, Medicine (General), R5-920
Abstract

Reportamos la reconstrucción inmediata con implantes personalizados en la región craneofacial en una paciente mujer de 22 años con tumoración craneofacial de 12x15 cm en la región fronto orbito cigomático izquierdo que correspondió a fibroma oscificante. Se realizó la reconstrucción con un implante hecho a medida basado en imágenes tomográficas. El implante de polieteretercetona (PEEK) fue seleccionado para reemplazar la pérdida ósea y para restaurar la anatomía facial. No hubo necesidad de ajuste transquirúrgico del implante; ni se presentaron reacciones de rechazo, infección o exposición del implante en el periodo posoperatorio. Aunque el hueso autólogo es preferido para implantes, resulta difícil adecuarlos en situaciones de un compromiso extenso como en el caso presentado; por ello los implantes de PEEK son actualmente una opción en términos de biocompatibilidad, resistencia, duración, conductividad térmica y traslucencia radiográfica.

Published
2019
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45. Big–Little Adaptive Neural Networks on Low-Power Near-Subthreshold Processors

Author

Zichao Shen, Neil Howard, and Jose Nunez-Yanez

Subjects
near-subthreshold processor, energy efficient, edge computing, neural network, adaptive computing, Applications of electric power, TK4001-4102
Abstract

This paper investigates the energy savings that near-subthreshold processors can obtain in edge AI applications and proposes strategies to improve them while maintaining the accuracy of the application. The selected processors deploy adaptive voltage scaling techniques in which the frequency and voltage levels of the processor core are determined at the run-time. In these systems, embedded RAM and flash memory size is typically limited to less than 1 megabyte to save power. This limited memory imposes restrictions on the complexity of the neural networks model that can be mapped to these devices and the required trade-offs between accuracy and battery life. To address these issues, we propose and evaluate alternative ‘big–little’ neural network strategies to improve battery life while maintaining prediction accuracy. The strategies are applied to a human activity recognition application selected as a demonstrator that shows that compared to the original network, the best configurations obtain an energy reduction measured at 80% while maintaining the original level of inference accuracy.

Published
2022
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46. Analysis of the operating conditions for UAV-based on-board antenna radiation pattern measurement systems.

Author

José Núñez, Pedro Orgeira-Crespo, Carlos Ulloa, and Inés García-Tuñón

Subjects
Medicine, Science
Abstract

Communications, navigation, and other related systems need to have a well-defined antenna radiation pattern. In onboard vessel systems, the radiation pattern can be much different than the one obtained for an isolated antenna (because of the vessel's structure and other nearby radiating systems interference). Finding out the onboard antenna's radiation pattern is a well-known problem for any shipbuilder/owner. The conventional method consists of measuring radiation patterns from a fixed antenna on the coast while the ship is navigating in circles. Recent electronic systems in the market now allow for an alternative method: keeping the ship static while an unmanned aerial vehicle (UAV) circles it, measuring the antenna's transmitted power. This research paper examines the airspace volume and optimal flight path of an off-the-shelf UAV system for measuring the onboard antenna's radiation pattern in the presence of physical constraints such as the vessel's dimensions, safety zone, distance to base, Fresnel's and multipath distances, and considering the loss due to polarization decoupling between the antenna under test and UAV's antenna.

Published
2021
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47. PROSTITUCIÓN DE MENORES E INCAPACES Y DERECHO PENAL: ALGUNAS CUESTIONES PROBLEMÁTICAS DE ANTES Y DESPUÉS DE LA LEY ORGÁNICA 1/2015, DE 30 DE MARZO, DE REFORMA DE CÓDIGO PENAL

Author

José Núñez Fernández

Subjects
Prostitución, Menores, Incapaces, Legalidad, Proporcionalidad, Libertad sexual, Law
Abstract

El presente artículo analiza el delito que consiste en la inducción, promoción, favorecimiento o facilitación de la prostitución del menor e incapaz así como en la solicitud, obtención o aceptación de una relación sexual con estos sujetos mediante remuneración o promesa. El objetivo del estudio es poner de relieve algunos problemas que suscita la regulación fruto de la LO 5/2010, de 22 de junio, y la prevista por la LO 1/2015, de 30 de marzo, vigente desde el 1 de julio de 2015. Ambas normativas atentan contra el principio de legalidad y proporcionalidad y no permiten identificar un objeto de protección digno de tutela en el vigente sistema constitucional

Published
2020

48. A thermal treatment to increase the antioxidant capacity of natural phenols: catechin, resveratrol and grape extract cases.

Author

Manuel Pinelo, Monica Rubilar, Jorge Sineiro, and Maria Jose Nuñez

Abstract

Abstract In this work, the critical role of temperature (the values assayed were 22, 37 and 60 °C), the chemical characteristics of the medium (ethanol, methanol and water) and the reaction time on the antiradical capacity of phenolic systems was studied. An initial increase and a following decrease in antiradical activity were observed for catechin and resveratrol solutions in all solvents assayed. The maximum antioxidant activity was higher and occurred in a shorter time as the storage temperature was increased or the solvent polarity was decreased. The maximum values of the latter variable in the catechin and resveratrol cases (reaching an antiradical activity value higher than 50% in comparison with the initial one) were detected when oxidation was carried out in ethanol at 60 °C after 6 and 24 h of storage, respectively. Such variations were due to different reaction pathways. In fact, oxidative polymerization and oxidative formation of hydroxyl groups were found to be responsible for the enhancements of antiradical activity in catechin and resveratrol, respectively. A similar trend with variations of temperature in the different media was also observed in the grape extract case. The evolution of antiradical activity was followed by high-performance liquid chromatography analysis, which pointed to the phenol polymerization of the monophenols detected (catechin, gallic acid, epicatechin and quercetin) as mainly responsible for such variations. [ABSTRACT FROM AUTHOR]

Published
2005

49. Data set on wind speed, wind direction and wind probability distributions in Puerto Bolivar - Colombia

Author

Guillermo Valencia Ochoa, José Núñez Alvarez, and Marley Vanegas Chamorro

Subjects
Computer applications to medicine. Medical informatics, R858-859.7, Science (General), Q1-390
Abstract

This paper presents wind speed and direction data measured with a weather station located in Puerto Bolivar, department of La Guajira, situated in the extreme north of Colombia, whose geographic coordinates are 12°11′N 71°55′W. A wind speed and direction sensor, a barometric pressure sensor, and a temperature sensor were used to obtain the presented data. These data were taken at the height of 10 m, which is the highest point of the weather station. The data taken by the meteorological station correspond to a period of 20 years (1993–2013), with hourly frequency. For the missing data, a mathematical model to estimate the Julian averages was developed, allowing to calculate the frequency histograms and four types of probability distributions for these data. Also, the representative wind roses were generated, taking into account the averages in each of the 12 months of the year. Keywords: Wind speed, Wind probability distribution, Wind direction

Published
2019
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50. Planificación virtual y modelo de impresión en 3D para reconstrucción mandibular con colgajo libre de peroné en ameloblastoma mandibular

Author

José Nuñez-Castañeda, Silvana Chang-Grozo, Gisell Izquierdo-Vela, and Roberto Iwaki-Chávez

Subjects
Ameloblastoma, Diseño asistido por computador, Estereolitografía, Colgajos tisulares libres (fuente: DeCS-BIREME), Medicine
Abstract

El ameloblastoma es un tumor benigno, localmente agresivo, que ocasiona deformidades faciales y con tendencia a la recurrencia. El objetivo del tratamiento del ameloblastoma es la remoción completa del tumor, la restauración de la función y el mantenimiento del aspecto estético. Se presenta el caso de un varón de 19 años que presenta tumoración en región mandibular y acude a consulta para tratamiento quirúrgico. Se realizó planificación virtual y modelo de impresión en 3D para reconstrucción mandibular con colgajo libre de peroné y modelo estereolitográfico para el manejo de su patología. Se observó una evolución post operatoria favorable; y una patología compatible con ameloblastoma mandibular intraóseo de patrón plexiforme. Si bien la cirugía es el tratamiento de elección para el diagnóstico de ameloblastoma; la planificación virtual y el modelo de impresión en 3D para la reconstrucción son herramientas útiles en el manejo de esta patología.

Published
2019
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