Zobrazeno 1 - 10
of 5 088
pro vyhledávání: '"Salto, A."'
Autor:
Ferber, Dyke, Nahhas, Omar S. M. El, Wölflein, Georg, Wiest, Isabella C., Clusmann, Jan, Leßman, Marie-Elisabeth, Foersch, Sebastian, Lammert, Jacqueline, Tschochohei, Maximilian, Jäger, Dirk, Salto-Tellez, Manuel, Schultz, Nikolaus, Truhn, Daniel, Kather, Jakob Nikolas
Multimodal artificial intelligence (AI) systems have the potential to enhance clinical decision-making by interpreting various types of medical data. However, the effectiveness of these models across all medical fields is uncertain. Each discipline p
Externí odkaz:
http://arxiv.org/abs/2404.04667
Autor:
Herbert, Carys, Froebrich, Dirk, Vanaverbeke, Siegfried, Scholz, Aleks, Eislöffel, Jochen, Urtly, Thomas, Walton, Ivan L., Wiersema, Klaas, Quinn, Nick J., Piehler, Georg, Aimar, Mario Morales, García, Rafael Castillo, Vanmunster, Tonny, Alfaro, Francisco C. Soldán, de la Cuesta, Faustino García, Licchelli, Domenico, Perez, Alex Escartin, Mañanes, Esteban Fernández, Ribes, Noelia Graciá, González, José Luis Salto, Futcher, Stephen R. L., Nelson, Tim, Dvorak, Shawn, Moździerski, Dawid, Kotysz, Krzysztof, Mikołajczyk, Przemysław, Fleming, George, Phillips, Mark, Vale, Tony, Dubois, Franky, Eggenstein, Heinz-Bernd, Heald, Michael A., Lewin, Pablo, OKeeffe, Derek, Popowicz, Adam, Bernacki, Krzysztof, Malcher, Andrzej, Lasota, Slawomir, Fiolka, Jerzy, Dustor, Adam, Percy, Stephen C., Devine, Pat, Patel, Aashini L., Dickers, Matthew D., Dover, Lord, Grozdanova, Ivana I., Urquhart, James S., Lynch, Chris J. R.
We present spot properties on 32 periodic young stellar objects in IC 5070. Long term, $\sim$5 yr, light curves in the $V$, $R$, and $I$-bands are obtained through the HOYS (Hunting Outbursting Young Stars) citizen science project. These are dissecte
Externí odkaz:
http://arxiv.org/abs/2403.10595
Autor:
Froebrich, Dirk, Scholz, Aleks, Campbell-White, Justyn, Vanaverbeke, Siegfried, Herbert, Carys, Eislöffel, Jochen, Urtly, Thomas, Long, Timothy P., Walton, Ivan L., Wiersema, Klaas, Quinn, Nick J., Rodda, Tony, González-Carballo, Juan-Luis, Aimar, Mario Morales, García, Rafael Castillo, Alfaro, Francisco C. Soldán, de la Cuesta, Faustino García, Licchelli, Domenico, Perez, Alex Escartin, González, José Luis Salto, Deldem, Marc, Futcher, Stephen R. L., Nelson, Tim, Dvorak, Shawn, Moździerski, Dawid, Kotysz, Krzysztof, Mikołajczyk, Przemysław, Fleming, George, Phillips, Mark, Vale, Tony, Öğmen, Yenal, Dubois, Franky, Rolfe, Samantha M., Campbell, David A., Eggenstein, Heinz-Bernd, Hambsch, Franz-Josef, Heald, Michael A., Lewin, Pablo, Rose, Adam C., Stone, Geoffrey, Crow, Martin Valentine, Dawes, Simon Francis, OKeeffe, Derek, Popowicz, Adam, Bernacki, Krzysztof, Malcher, Andrzej, Lasota, Slawomir, Fiolka, Jerzy, Dustor, Adam, Vajpayee, Amritanshu, Devine, Pat, Kolb, Matthias, Marquette, Jean-Baptiste, Ruppel, Gregg L., Crowson, Dan R., da Silva, Cledison Marcos, Michaud, Michel, Patel, Aashini L., Dickers, Matthew D., Dover, Lord, Grozdanova, Ivana I., Urquhart, James S., Lynch, Chris J. R.
The Hunting Outbursting Young Stars (HOYS) project performs long-term, optical, multi-filter, high cadence monitoring of 25 nearby young clusters and star forming regions. Utilising Gaia DR3 data we have identified about 17000 potential young stellar
Externí odkaz:
http://arxiv.org/abs/2401.16883
Publikováno v:
Revista Peruana de Medicina Experimental y Salud Pública, Pp 247-58 (2024)
Objectives. To determine the requirement and time to mechanical ventilation and Intensive Care Unit (ICU), hospitalization and hospitalization time, death and disability of the axonal variants of Guillain-Barré Syndrome (GBS) in comparison with the
Externí odkaz:
https://doaj.org/article/a5feb3b3c3c94144948f96feafbdbabb
Autor:
CMS Muon Group, M. Tytgat, A. Muhammad, G. De Lentdecker, J. Jaramillo, L. Moureaux, L. Pétré, Y. Yang, C. Rendón, G. Gokbulut, Y. Hong, A. Samalan, G. A. Alves, F. Marujo da Silva, E. Alves Coelho, M. Barroso Ferreira Filho, E. M. Da Costa, D. De Jesus Damiao, B. C. Ferreira, S. Fonseca De Souza, K. Mota Amarilo, H. Nogima, A. Santoro, M. Thiel, A. Aleksandrov, L. Dimitrov, R. Hadjiiska, P. Iaydjiev, M. Misheva, G. Mitev, L. Ratchev, G. Rashevski, M. Shopova, G. Sultanov, A. Dimitrov, L. Litov, B. Pavlov, P. Petkov, A. Petrov, E. Shumka, S. Keshri, S. Thakur, M. Chen, X. Dong, W. Gong, Q. Hou, C. Jiang, H. Kou, Z.-A. Liu, W. Luo, J. Song, L. Sun, N. Wang, Y. Wang, Z. Wang, C. Zhang, Y. Zhang, H. Zhang, J. Zhao, A. Agapitos, Y. Ban, A. Levin, Q. Li, S. J. Qian, D. Wang, K. Wang, Z. You, C. Avila, D. A. Barbosa Trujillo, A. Cabrera, C. A. Florez, J. Fraga, J. A. Reyes Vega, F. Ramirez, M. Rodriguez, J. D. Ruiz, N. Vanegas, H. Abdalla, A. A. Abdelalim, Y. Assran, A. Radi, I. Crotty, M. A. Mahmoud, L. Balleyguier, X. Chen, C. Combaret, G. Galbit, M. Gouzevitch, G. Grenier, I. B. Laktineh, A. Luciol, L. Mirabito, W. Tromeur, I. Bagaturia, I. Lomidze, O. Kemularia, Z. Tsamalaidze, U. Böttger, D. Eliseev, T. Hebbeker, K. Hoepfner, M. Merschmeyer, F. Ivone, S. Mukherjee, F. Nowotny, B. Philipps, H. Reithler, A. Sharma, F. Torres Da Silva De Araujo, S. Wiedenbeck, S. Zaleski, F. P. Zantis, M. Abbas, S. Mallows, G. Bencze, N. Beni, J. Molnar, Z. Szillasi, D. Teyssier, B. Ujvari, G. Zilizi, J. Babbar, S. Bansal, V. Bhatnagar, S. Chauhan, A. Kaur, H. Kaur, A. Kaur Sahota, S. Kumar, T. Sheokand, J. Singh, B. C. Choudhary, A. Kumar, M. Kumar Saini, M. Naimuddin, N. Majumdar, S. Mukhopadhyay, P. Rout, V. Amoozegar, B. Boghrati, M. Ebraimi, M. Mohammadi Najafabadi, E. Zareian, M. Abbrescia, R. Aly, M. Buonsante, A. Colaleo, N. De Filippis, D. Dell’Olio, G. De Robertis, W. Elmetenawee, N. Ferrara, M. Franco, G. Iaselli, N. Lacalamita, F. Licciulli, F. Loddo, M. Maggi, S. Martiradonna, S. Nuzzo, L. Longo, A. Pellecchia, G. Pugliese, R. Radogna, D. Ramos, A. Ranieri, F. M. Simone, A. Stamerra, D. Troiano, R. Venditti, P. Verwilligen, A. Zaza, G. Abbiendi, C. Baldanza, C. Battilana, A. Benvenuti, L. Borgonovi, V. Cafaro, F. R. Cavallo, A. Crupano, M. Cuffiani, G. M. Dallavalle, F. Fabbri, A. Fanfani, D. Fasanella, P. Giacomelli, V. Giordano, C. Guandalini, L. Guiducci, S. Lo Meo, L. Lunerti, S. Marcellini, G. Masetti, F. L. Navarria, G. Paggi, A. Perrotta, F. Primavera, A. M. Rossi, T. Rovelli, G. Torromeo, L. Benussi, S. Bianco, R. Campagnola, M. Caponero, S. Colafranceschi, S. Meola, L. Passamonti, D. Piccolo, D. Pierluigi, G. Raffone, A. Russo, G. Saviano, S. Buontempo, A. Cagnotta, F. Carnevali, F. Cassese, N. Cavallo, A. De Iorio, F. Fabozzi, A. O. M. Iorio, L. Lista, P. Paolucci, G. Passeggio, B. Rossi, L. Barcellan, M. Bellato, M. Benettoni, A. Bergnoli, A. Bragagnolo, R. Carlin, L. Castellani, P. Checchia, L. Ciano, A. Colombo, D. Corti, F. Gasparini, U. Gasparini, F. Gonella, A. Gozzelino, A. Griggio, G. Grosso, M. Gulmini, R. Isocrate, E. Lusiani, G. Maron, M. Margoni, A. T. Meneguzzo, M. Migliorini, L. Modenese, F. Montecassiano, M. Negrello, M. Passaseo, J. Pazzini, L. Ramina, M. Rampazzo, M. Rebeschini, P. Ronchese, R. Rossin, F. Simonetto, M. Toffano, N. Toniolo, A. Triossi, S. Ventura, M. Zanetti, P. G. Zatti, P. Zotto, A. Zucchetta, S. AbuZeid, C. Aimè, A. Braghieri, S. Calzaferri, D. Fiorina, S. Gigli, P. Montagna, C. Riccardi, P. Salvini, I. Vai, P. Vitulo, N. Amapane, G. Cotto, D. Dattola, P. De Remigis, B. Kiani, C. Mariotti, S. Maselli, M. Pelliccioni, F. Rotondo, A. Staiano, D. Trocino, G. Umoret, E. Asilar, T. J. Kim, J. A. Merlin, S. Choi, B. Hong, K. S. Lee, J. Goh, J. Choi, J. Kim, U. Yang, I. Yoon, W. Jang, J. Heo, D. Kang, Y. Kang, D. Kim, S. Kim, B. Ko, J. S. H. Lee, I. C. Park, I. J. Watson, S. Yang, Y. Jeong, Y. Lee, I. Yu, G. Alasfour, T. Beyrouthy, Y. Gharbia, Y. Maghrbi, M. Otkur, H. Castilla-Valdez, H. Crotte Ledesma, R. Lopez-Fernandez, A. Sánchez Hernández, M. Ramírez García, E. Vazquez, M. A. Shah, N. Zaganidis, I. Pedraza, C. Uribe Estrada, A. Ahmad, W. Ahmed, M. I. Asghar, H. R. Hoorani, S. Muhammad, A. Wajid, J. Alcaraz Maestre, A. Álvarez Fernández, Cristina F. Fernandez Bedoya, L. C. Blanco Ramos, E. Calvo, C. A. Carrillo Montoya, J. M. Cela Ruiz, M. Cepeda, M. Cerrada, N. Colino, S. Cuadrado Calzada, J. Cuchillo Ortega, B. De La Cruz, C. I. de Lara Rodríguez, D. Fernández Del Val, J. P. Fernández Ramos, M. C. Fouz, D. Francia Ferrero, J. García Romero, O. Gonzalez Lopez, S. Goy Lopez, M. I. Josa, J. León Holgado, O. Manzanilla Carretero, I. Martín Martín, J. J. Martínez Morales, E. Martín Viscasillas, D. Moran, Á. Navarro Tobar, R. Paz Herrera, J. C. Puras Sánchez, J. Puerta Pelayo, S. Pulido Ferrero, I. Redondo, D. D. Redondo Ferrero, V. Salto Parra, S. Sánchez Navas, J. Sastre, L. Urda Gómez, J. Vazquez Escobar, J. F. de Trocóniz, F. Frias Garcia-Lago, R. Reyes-Almanza, B. Alvarez Gonzalez, J. Cuevas, J. Fernandez Menendez, S. Folgueras, I. Gonzalez Caballero, P. Leguina López, E. Palencia Cortezon, C. Ramón Álvarez, J. Prado Pico, V. Rodríguez Bouza, A. Soto Rodríguez, A. Trapote, C. Vico Villalba, B. Kailasapathy, K. Malagalage, D. U. J. Sonnadara, D. D. C. Wickramarathna, W. G. D. Dharmaratna, K. Liyanage, N. Perera, N. Wickramage, P. Aspell, M. Bianco, D. Bozzato, S. Brachet, A. Conde Garcia, A. Dabrowski, R. De Oliveira, F. Fallavollita, P. Kicsiny, E. Hazen, S. May, A. Peck, K. Salyer, I. Suarez, S. Abbott, J. Bonilla, R. Breedon, H. Cai, P. T. Cox, R. Erbacher, O. Kukral, C. McLean, G. Mocellin, M. Mulhearn, B. Regnery, M. Tripathi, G. Waegel, Y. Yao, J. Carlson, R. Cousins, A. Dasgupta, A. Datta, J. Hauser, M. Ignatenko, M. A. Iqbal, C. Lo, D. Saltzberg, C. Schnaible, V. Valuev, R. Clare, M. Gordon, G. Hanson, N. Amin, J. Bradmiller-Feld, C. Campagnari, T. Danielson, A. Dishaw, A. Dorsett, B. Marsh, H. Mei, M. Oshiro, J. Richman, F. Setti, M. F. Sevilla, P. Siddireddy, S. Wang, C. Aruta, V. Barashko, V. Cherepanov, M. Dittrich, A. Korytov, E. Kuznetsova, A. Madorsky, G. Mitselmakher, A. Muthirakalayil Madhu, N. Rawal, N. Terentyev, J. Wang, B. Alsufyani, S. Butalla, T. Elkafrawy, M. Hohlmann, E. Yanes, J. Eysermans, E. Barberis, Y. Haddad, Y. Han, G. Madigan, D. M. Morse, V. Nguyen, D. Wood, S. Bhattacharya, J. Bueghly, Z. Chen, K. A. Hahn, Y. Liu, Y. Miao, D. G. Monk, M. H. Schmitt, A. Taliercio, M. Velasco, B. Bylsma, M. Carrigan, R. De Los Santos, L. S. Durkin, C. Hill, K. Banicz, J. Liu, M. Matveev, B. P. Padley, D. Aebi, M. Ahmad, T. Akhter, A. Bolshov, O. Bouhali, R. Eusebi, J. Gilmore, T. Huang, E. Juska, T. Kamon, H. Kim, M. Kizlov, S. Malhotra, R. Mueller, R. Rabadan, D. Rathjens, A. Safonov, P. E. Karchin, A. Aravind, K. Black, I. De Bruyn, P. Everaerts, C. Galloni, M. Herndon, A. Lanaro, R. Loveless, J. Madhusudanan Sreekala, S. Mondal, D. Teague, W. Vetens, A. Warden, I. Azhgirey, V. Borshch, L. Chtchipunov, A. Egorov, G. Gavrilov, V. Golovtcov, M. Ivanov, V. Ivantchenko, Y. Ivanov, V. Karjavine, A. Khodinov, V. Kim, I. A. Kurochkin, P. Levchenko, V. Murzin, S. Nasybulin, V. Oreshkin, V. Palichik, V. Perelygin, A. Riabchikova, D. Sosnov, V. Sulimov, L. Uvarov, S. Vavilov, A. Vorobyev
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 84, Iss 9, Pp 1-43 (2024)
Abstract The CMS detector, including its muon system, has been operating at the CERN LHC in increasingly challenging conditions for about 15 years. The muon detector was designed to provide excellent triggering and track reconstruction for muons prod
Externí odkaz:
https://doaj.org/article/0af82a55415a4162bd87790d8a29551a
Autor:
Wagner, Sophia J., Reisenbüchler, Daniel, West, Nicholas P., Niehues, Jan Moritz, Veldhuizen, Gregory Patrick, Quirke, Philip, Grabsch, Heike I., Brandt, Piet A. van den, Hutchins, Gordon G. A., Richman, Susan D., Yuan, Tanwei, Langer, Rupert, Jenniskens, Josien Christina Anna, Offermans, Kelly, Mueller, Wolfram, Gray, Richard, Gruber, Stephen B., Greenson, Joel K., Rennert, Gad, Bonner, Joseph D., Schmolze, Daniel, James, Jacqueline A., Loughrey, Maurice B., Salto-Tellez, Manuel, Brenner, Hermann, Hoffmeister, Michael, Truhn, Daniel, Schnabel, Julia A., Boxberg, Melanie, Peng, Tingying, Kather, Jakob Nikolas
Background: Deep learning (DL) can extract predictive and prognostic biomarkers from routine pathology slides in colorectal cancer. For example, a DL test for the diagnosis of microsatellite instability (MSI) in CRC has been approved in 2022. Current
Externí odkaz:
http://arxiv.org/abs/2301.09617
Funcionamiento familiar y autoconcepto en adolescentes de una unidad educativa de Guaranda (Ecuador)
Publikováno v:
Puriq, Vol 6 (2024)
El objetivo de esta investigación fue analizar la relación entre el funcionamiento familiar y el autoconcepto en adolescentes de una Unidad Educativa en la ciudad de Guaranda, Ecuador. En base a investigaciones previas y a observaciones preliminare
Externí odkaz:
https://doaj.org/article/c2f4cafdee654d23bc8e1b85e982d0a7
Autor:
Javier Martín-Escolano, Sonsoles Salto-Alejandre, Carmen Infante-Domínguez, Marta Carretero-Ledesma, Natalia Maldonado-Lizarazo, Pedro Camacho-Martínez, Francisco Martín-Domínguez, Inmaculada Tallón-Ruiz, Ana Ruiz-Molina, Zaira Palacios-Baena, Patricia Pérez-Palacios, María Paniagua-García, Rocío Álvarez-Marín, Laura Merino, José Miguel Cisneros, Elisa Cordero, Jerónimo Pachón, José Antonio Pérez-Simón, Javier Sánchez-Céspedes, Manuela Aguilar-Guisado
Publikováno v:
International Journal of Infectious Diseases, Vol 146, Iss , Pp 107163- (2024)
Objectives: Patients with haematologic malignancies (HM) COVID-19 have more severe disease, with increased risk of mortality. Therefore, this study aimed to evaluate the effect of SARS-CoV-2 RNAemia and the specific humoral immune responses on the cl
Externí odkaz:
https://doaj.org/article/55111e5ff8e8447ab77120f67151fb7d
Autor:
Victoria Bingham, Louise Harewood, Stephen McQuaid, Stephanie G. Craig, Julia F. Revolta, Chang S. Kim, Shambhavi Srivastava, Javier Quezada-Marín, Matthew P. Humphries, Manuel Salto-Tellez
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal human malignancies. Tissue microarrays (TMA) are an established method of high throughput biomarker interrogation in tissues but may not capture histological features of
Externí odkaz:
https://doaj.org/article/d25a41f56be2446d9bbeea882fd613c5
Biomarkers identify a patients response to treatment. With the recent advances in artificial intelligence based on the Transformer networks, there is only limited research has been done to measure the performance on challenging histopathology images.
Externí odkaz:
http://arxiv.org/abs/2206.11520