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3,840 results on '"P Lago"'

101. Is there a preferred platinum and fluoropyrimidine regimen for advanced HER2-negative esophagogastric adenocarcinoma? Insights from 1293 patients in AGAMENON–SEOM registry

Author

Arias-Martinez, Aranzazu, Martínez de Castro, Eva, Gallego, Javier, Arrazubi, Virginia, Custodio, Ana, Fernández Montes, Ana, Diez, Marc, Hernandez, Raquel, Limón, María Luisa, Cano, Juana María, Vidal-Tocino, Rosario, Macias, Ismael, Visa, Laura, Martin Richard, Marta, Sauri, Tamara, Hierro, Cinta, Gil, Mireia, Cerda, Paula, Martínez Moreno, Elia, Martínez Lago, Nieves, Mérida-García, Antonio José, Gómez González, Lucía, García Navalón, Francisco Javier, Ruiz Martín, Maribel, Marín, Gema, López-López, Flora, Ruperez Blanco, Ana Belen, Fernández, Alejandro Francisco, Jimenez-Fonseca, Paula, Carmona-Bayonas, Alberto, and Alvarez-Manceñido, Felipe

Published
2024
Full Text
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102. The Pierre Auger Observatory Open Data

Author

The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bertou, X., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Freitas, M., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kubatova, M., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lundquist, J. P., Payeras, A. Machado, Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Sampathkumar, P., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Weitz, M., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Pierre Auger Collaboration has embraced the concept of open access to their research data since its foundation, with the aim of giving access to the widest possible community. A gradual process of release began as early as 2007 when 1% of the cosmic-ray data was made public, along with 100% of the space-weather information. In February 2021, a portal was released containing 10% of cosmic-ray data collected from 2004 to 2018, during Phase I of the Observatory. The Portal included detailed documentation about the detection and reconstruction procedures, analysis codes that can be easily used and modified and, additionally, visualization tools. Since then the Portal has been updated and extended. In 2023, a catalog of the 100 highest-energy cosmic-ray events examined in depth has been included. A specific section dedicated to educational use has been developed with the expectation that these data will be explored by a wide and diverse community including professional and citizen-scientists, and used for educational and outreach initiatives. This paper describes the context, the spirit and the technical implementation of the release of data by the largest cosmic-ray detector ever built, and anticipates its future developments., Comment: 27 pages, 8 figures

Published
2023

103. AugerPrime Surface Detector Electronics

Author

The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Andringa, S., Anukriti, Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Badescu, A. M., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Bwembya, A., Büsken, M., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coleman, A., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., de Errico, B. P. de Souza, De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farmer, J., Farrar, G., Fauth, A. C., Fazzini, N., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., Galelli, C., García, B., Gaudu, C., Gemmeke, H., Gesualdi, F., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Gongora, J. P., González, J. M., González, N., Goos, I., Gorgi, A., Gottowik, M., Grubb, T. D., Guarino, F., Guedes, G. P., Guido, E., Berisso, M. Gómez, Vitale, P. F. Gómez, Góra, D., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Horvath, P., Hrabovský, M., Huege, T., Hörandel, J. R., Insolia, A., Isar, P. G., Janecek, P., Johnsen, J. A., Jurysek, J., Kampert, K. H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Marafico, S., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Martins, M. A., Bravo, O. Martínez, Mathes, H. J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Morello, C., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pelayo, R., Pereira, L. A. S., Martins, E. E. Pereira, Armand, J. Perez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Puyleart, A., Bertolli, C. Pérez, Pękala, J., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Ruehl, P., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Schäfer, C. M., Sciutto, S. J., Scornavacche, M., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Silli, G., Sima, O., Simon, F., Smau, R., Sommers, P., Soriano, J. F., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Straub, M., Strähnz, S., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Sánchez, F., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Trimarelli, C., Tueros, M., Unger, M., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Veberič, D., Ventura, C., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vlastimil, J., Vorobiov, S., Vásquez-Ramírez, A., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., Zavrtanik, M., and Šmída, R.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

Operating since 2004, the Pierre Auger Observatory has led to major advances in our understanding of the ultra-high-energy cosmic rays. The latest findings have revealed new insights that led to the upgrade of the Observatory, with the primary goal of obtaining information on the primary mass of the most energetic cosmic rays on a shower-by-shower basis. In the framework of the upgrade, called AugerPrime, the 1660 water-Cherenkov detectors of the surface array are equipped with plastic scintillators and radio antennas, allowing us to enhance the composition sensitivity. To accommodate new detectors and to increase experimental capabilities, the electronics is also upgraded. This includes better timing with up-to-date GPS receivers, higher sampling frequency, increased dynamic range, and more powerful local processing of the data. In this paper, the design characteristics of the new electronics and the enhanced dynamic range will be described. The manufacturing and test processes will be outlined and the test results will be discussed. The calibration of the SD detector and various performance parameters obtained from the analysis of the first commissioning data will also be presented.

Published
2023

104. JavaScript Dead Code Identification, Elimination, and Empirical Assessment

Author

Malavolta, Ivano, Nirghin, Kishan, Scoccia, Gian Luca, Romano, Simone, Lombardi, Salvatore, Scanniello, Giuseppe, and Lago, Patricia

Subjects
Computer Science - Software Engineering
Abstract

Web apps are built by using a combination of HTML, CSS, and JavaScript. While building modern web apps, it is common practice to make use of third-party libraries and frameworks, as to improve developers' productivity and code quality. Alongside these benefits, the adoption of such libraries results in the introduction of JavaScript dead code, i.e., code implementing unused functionalities. The costs for downloading and parsing dead code can negatively contribute to the loading time and resource usage of web apps. The goal of our study is two-fold. First, we present Lacuna, an approach for automatically detecting and eliminating JavaScript dead code from web apps. The proposed approach supports both static and dynamic analyses, it is extensible and can be applied to any JavaScript code base, without imposing constraints on the coding style or on the use of specific JavaScript constructs. Secondly, by leveraging Lacuna we conduct an experiment to empirically evaluate the run-time overhead of JavaScript dead code in terms of energy consumption, performance, network usage, and resource usage in the context of mobile web apps. We applied Lacuna four times on 30 mobile web apps independently developed by third-party developers, each time eliminating dead code according to a different optimization level provided by Lacuna. Afterward, each different version of the web app is executed on an Android device, while collecting measures to assess the potential run-time overhead caused by dead code. Experimental results, among others, highlight that the removal of JavaScript dead code has a positive impact on the loading time of mobile web apps, while significantly reducing the number of bytes transferred over the network.

Published
2023
Full Text
View/download PDF

105. On Model-Checking Higher-Order Effectful Programs (Long Version)

Author

Lago, Ugo Dal and Ghyselen, Alexis

Subjects
Computer Science - Logic in Computer Science, Computer Science - Programming Languages
Abstract

Model-checking is one of the most powerful techniques for verifying systems and programs, which since the pioneering results by Knapik et al., Ong, and Kobayashi, is known to be applicable to functional programs with higher-order types against properties expressed by formulas of monadic second-order logic. What happens when the program in question, in addition to higher-order functions, also exhibits algebraic effects such as probabilistic choice or global store? The results in the literature range from those, mostly positive, about nondeterministic effects, to those about probabilistic effects, in the presence of which even mere reachability becomes undecidable. This work takes a fresh and general look at the problem, first of all showing that there is an elegant and natural way of viewing higher-order programs producing algebraic effects as ordinary higher-order recursion schemes. We then move on to consider effect handlers, showing that in their presence the model checking problem is bound to be undecidable in the general case, while it stays decidable when handlers have a simple syntactic form, still sufficient to capture so-called generic effects. Along the way we hint at how a general specification language could look like, this way justifying some of the results in the literature, and deriving new ones.

Published
2023

107. The Giant Radio Array for Neutrino Detection (GRAND) Collaboration -- Contributions to the 38th International Cosmic Ray Conference (ICRC 2023)

Author

GRAND Collaboration, Batista, Rafael Alves, Benoit-Lévy, Aurélien, Bister, Teresa, Bustamante, Mauricio, Chen, Yiren, Cheng, LingMei, Chiche, Simon, Colley, Jean-Marc, Correa, Pablo, Laurenciu, Nicoleta Cucu, Dai, Zigao, de Errico, Beatriz, de Jong, Sijbrand, Neto, João R. T. de Mello, de Vries, Krijn D., Denton, Peter B., Decoene, Valentin, Duan, Kaikai, Duan, Bohao, Engel, Ralph, Fan, Yizhong, Ferrière, Arsène, Gou, QuanBu, Gu, Junhua, Guelfand, Marion, Guo, Jianhua, Guo, Yiqing, Gupta, Vaidhai, Guépin, Claire, Gülzow, Lukas, Haungs, Andreas, He, Haoning, Hivon, Eric, Hu, Hongbo, Huang, Xiaoyuan, Huang, Yan, Huege, Tim, Jiang, Wen, Koirala, Ramesh, Kotera, Kumiko, Köhler, Jelena, Lago, Bruno L., Coz, Sandra Le, Legrand, François, Leisos, Antonios, Li, Rui, Liu, Cheng, Liu, Ruoyu, Liu, Wei, Ma, Pengxiong, Macias, Oscar, Magnard, Frédéric, Martineau-Huynh, Olivier, Mikhno, Ananstasiia, Mitra, Pragati, Mostafá, Miguel, Mottez, Fabrice, Mouette, Jean, Murase, Kohta, Niess, Valentin, Nonis, Stavros, Ogio, Shoichi, Oikonomou, Foteini, Pierog, Tanguy, Piotrowski, Lech Wiktor, Poisvert, Pierre, Prunet, Simon, Qian, Xiangli, Roth, Markus, Sako, Takashi, Schoorlemmer, Harm, Steeman, Bart, Szálas-Motesiczky, Dániel, Sławiński, Szymon, Timmermans, Anne, Timmermans, Charles, Tsirigotis, Apostolos, Tueros, Matías, Wang, Shen, Wang, Xiangyu, Wang, Xu, Wei, Daming, Wei, Feng, Wu, Xiangping, Wu, Xuefeng, Xu, Xin, Xu, Xing, Yang, Lili, Yang, Xuan, Yuan, Qiang, Zarka, Philippe, Zeng, Houdun, Zhang, Chao, Zhang, Jianli, Zhang, Kewen, Zhang, Pengfei, Zhang, Songbo, and Zhou, Hao

Subjects
High Energy Physics - Experiment, Astrophysics - High Energy Astrophysical Phenomena, Astrophysics - Instrumentation and Methods for Astrophysics, High Energy Physics - Phenomenology
Abstract

The Giant Radio Array for Neutrino Detection (GRAND) is an envisioned observatory of ultra-high-energy particles of cosmic origin, with energies in excess of 100 PeV. GRAND uses large surface arrays of autonomous radio-detection units to look for the radio emission from extensive air showers that are triggered by the interaction of ultra-high-energy cosmic rays, gamma rays, and neutrinos in the atmosphere or underground. In particular, for ultra-high-energy neutrinos, the future final phase of GRAND aims to be sensitive enough to discover them in spite of their plausibly tiny flux. Presently, three prototype GRAND radio arrays are in operation: GRANDProto300, in China, GRAND@Auger, in Argentina, and GRAND@Nancay, in France. Their goals are to field-test the design of the radio-detection units, understand the radio background to which they are exposed, and develop tools for diagnostic, data gathering, and data analysis. This list of contributions to the 38th International Cosmic Ray Conference (ICRC 2023) presents an overview of GRAND, in its present and future incarnations, and a look at the first data collected by GRANDProto13, the first phase of GRANDProto300., Comment: Note: To access the list of contributions, please follow the "HTML" link that can be found on the arXiv page (v2: fixed name spelling of one author)

Published
2023

108. Search for UHE Photons from Gravitational Wave Sources with the Pierre Auger Observatory

Author

The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Andringa, S., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Asorey, H., Assis, P., Avila, G., Avocone, E., Badescu, A. M., Bakalova, A., Balaceanu, A., Barbato, F., Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Bretz, T., Orchera, P. G. Brichetto, Briechle, F. L., Buchholz, P., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Caccianiga, L., Caracas, I., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coleman, A., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Contreras, F., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Deval, L., di Matteo, A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Anjos, R. C. dos, Ebr, J., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Falcke, H., Farmer, J., Farrar, G., Fauth, A. C., Fazzini, N., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., Galelli, C., García, B., Gemmeke, H., Gesualdi, F., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Giammarchi, M., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Goos, I., Góra, D., Gorgi, A., Gottowik, M., Grubb, T. D., Guarino, F., Guedes, G. P., Guido, E., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Heck, D., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Johnsen, J. A., Jurysek, J., Kääpä, A., Kampert, K. H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Kleinfeller, J., Knapp, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lenok, V., Letessier-Selvon, A., Lhenry-Yvon, I., Presti, D. Lo, Lopes, L., López, R., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Manshanden, J., Mantsch, P., Marafico, S., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mastrodicasa, M., Mathes, H. J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Morello, C., Müller, A. L., Mulrey, K., Mussa, R., Muzio, M., Namasaka, W. M., Nasr-Esfahani, A., Nellen, L., Nicora, G., Niculescu-Oglinzanu, M., Niechciol, M., Nitz, D., Norwood, I., Nosek, D., Novotny, V., Nožka, L., Nucita, A, Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Parente, G., Parra, A., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pereira, L. A. S., Martins, E. E. Pereira, Armand, J. Perez, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shavar, M. Pourmohammad, Privitera, P., Prouza, M., Puyleart, A., Querchfeld, S., Rautenberg, J., Ravignani, D., Reininghaus, M., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Ruehl, P., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schlüter, F., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Silli, G., Sima, O., Smau, R., Šmída, R., Sommers, P., Soriano, J. F., Squartini, R., Stadelmaier, M., Stanca, D., Stanič, S., Stasielak, J., Stassi, P., Straub, M., Streich, A., Suárez-Durán, M., Suomijärvi, T., Supanitsky, A. D., Szadkowski, Z., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Trimarelli, C., Tueros, M., Ulrich, R., Unger, M., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vásquez-Ramírez, A., Veberič, D., Ventura, C., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.

Subjects
Astrophysics - High Energy Astrophysical Phenomena, General Relativity and Quantum Cosmology
Abstract

A search for time-directional coincidences of ultra-high-energy (UHE) photons above 10 EeV with gravitational wave (GW) events from the LIGO/Virgo runs O1 to O3 is conducted with the Pierre Auger Observatory. Due to the distinctive properties of photon interactions and to the background expected from hadronic showers, a subset of the most interesting GW events is selected based on their localization quality and distance. Time periods of 1000 s around and 1 day after the GW events are analyzed. No coincidences are observed. Upper limits on the UHE photon fluence from a GW event are derived that are typically at $\sim$7 MeV cm$^{-2}$ (time period 1000~s) and $\sim$35 MeV cm$^{-2}$ (time period 1 day). Due to the proximity of the binary neutron star merger GW170817, the energy of the source transferred into UHE photons above 40 EeV is constrained to be less than 20% of its total gravitational wave energy. These are the first limits on UHE photons from GW sources., Comment: 15 pages

Published
2023
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109. Contextual Behavioural Metrics (Extended Version)

Author

Lago, Ugo Dal and Murgia, Maurizio

Subjects
Computer Science - Formal Languages and Automata Theory, Computer Science - Programming Languages
Abstract

We introduce contextual behavioural metrics (CBMs) as a novel way of measuring the discrepancy in behaviour between processes, taking into account both quantitative aspects and contextual information. This way, process distances by construction take the environment into account: two (non-equivalent) processes may still exhibit very similar behaviour in some contexts, e.g., when certain actions are never performed. We first show how CBMs capture many well-known notions of equivalence and metric, including Larsen's environmental parametrized bisimulation. We then study compositional properties of CBMs with respect to some common process algebraic operators, namely prefixing, restriction, non-deterministic sum, parallel composition and replication., Comment: Extended version of a paper accepted for publication in proc. CONCUR 2023

Published
2023

110. Computer-Assisted Pronunciation Training (CAPT): An Empirical Evaluation of EPSS Multimedia Lab

Author

María de los Ángeles Gómez González and Alfonso Lago Ferreiro

Abstract

Previous research has established that phonetics has been marginalized within language teaching, proving to be particularly challenging for learners in EFL contexts. This paper presents EPSSML (https://www.usc.gal/multimlab/), an e-learning platform designed within Mayer's (2008, 2009) Cognitive Theory of Multimedia Learning to instruct English phonetics and phonology in an EFL context. Inspired by prior work (e.g., Clark, 2009; Godwin-Jones, 2009; Hansen Edwards et al., 2021), we examined the efficiency of EPSSML as a Computer Assisted Pronunciation Training (CAPT) resource alongside the students' perceptions of it including gender differences. The scores obtained by 504 Spanish EFL learners in an English phonetics undergraduate course were analyzed comparing performance before and after EPSSML-assisted instruction. The analysis of rated results shows that there is a significant difference between the means of scores of those learners that used and those that did not use the platform, as well as between male and female students. Additionally, 127 students that used EPSSML responded to an online questionnaire on the tool and course methodology. Responses reveal that 91.3% of the learners enjoyed and were very interested in EPSSML and web-mediated phonetic training. The findings demonstrate the importance of CAPT-based instruction and suggestions are also made for additional resources and approaches for its implementation, thereby contributing to the educational shift from traditional, teacher-centered learning methods to blended instructional methodologies in formal and informal settings.

Published
2024

111. Sustainability in Computing Education: A Systematic Literature Review

Author

Anne-Kathrin Peters, Rafael Capilla, Vlad Constantin Coroama, Rogardt Heldal, Patricia Lago, Ola Leifler, Ana Moreira, João Paulo Fernandes, Birgit Penzenstadler, Jari Porras, and Colin C. Venters

Abstract

Research shows that the global society as organized today, with our current technological and economic system, is impossible to sustain. We are living in an era in which human activities in highly industrialized countries are responsible for overshooting several planetary boundaries, with poorer communities contributing the least to the problems but being impacted the most. At the same time, technical and economic gains fail to provide society at large with equal opportunities and improved quality of life. This article describes approaches taken in computing education to address the issue of sustainability. It presents results of a systematic review of the literature on sustainability in computing education. From a set of 572 publications extracted from six large digital libraries plus snowballing, we distilled and analyzed 89 relevant primary studies. Using an inductive and deductive thematic analysis, we study: (1) conceptions of sustainability, computing, and education; (2) implementations of sustainability in computing education; and (3) research on sustainability in computing education. We present a framework capturing learning objectives and outcomes as well as pedagogical methods for sustainability in computing education. These results can be mapped to existing standards and curricula in future work. We find that only a few of the articles engage with the challenges as calling for drastic systemic change, along with radically new understandings of computing and education. We suggest that future work should connect to the substantial body of critical theory, such as feminist theories of science and technology. Existing research on sustainability in computing education may be considered rather immature, as the majority of articles are experience reports with limited empirical research.

Published
2024
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112. Simulation-based training in ultrasound-guided regional anaesthesia for emergency physicians: insights from an Italian pre/post intervention study

Author

Resta, Flavia, Barcella, Bruno, Angeli, Valentina, Lago, Elena, Santaniello, Annunziata, Dedato, Andrea Simone, Centurioni, Clarissa Elisabeth, Regeni, Elena, Savastano, Simone, Baldi, Enrico, Contri, Enrico, Maffeis, Riccardo, Denti, Pietro, Musella, Valeria, Schicchi, Azzurra, Lonati, Davide, Salinaro, Francesco, Perlini, Stefano, and Di Pietro, Santi

Published
2024
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121. Comparison of “IN-REC-SUR-E” and LISA in preterm neonates with respiratory distress syndrome: a randomized controlled trial (IN-REC-LISA trial)

Author

Vento, Giovanni, Paladini, Angela, Aurilia, C., Ozdemir, S. Alkan, Carnielli, V. P., Cools, F., Costa, S., Cota, F., Dani, C., Davis, P. G., Fattore, S., Fè, C., Finer, N., Fusco, F. P., Gizzi, C., Herting, E., Jian, M., Lio, A., Lista, G., Mosca, F., Nobile, S., Perri, A., Picone, S., Pillow, J. J., Polglase, G., Pasciuto, T., Pastorino, R., Tana, M., Tingay, D., Tirone, C., van Kaam, A. H., Ventura, M. L., Aceti, A., Agosti, M., Alighieri, G., Ancora, G., Angileri, V., Ausanio, G., Aversa, S., Balestri, E., Baraldi, E., Barbini, M. C., Barone, C., Beghini, R., Bellan, C., Berardi, A., Bernardo, I., Betta, P., Binotti, M., Bizzarri, B., Borgarello, G., Borgione, S., Borrelli, A., Bottino, R., Bracaglia, G., Bresesti, I., Burattini, I., Cacace, C., Calzolari, F., Campagnoli, M. F., Capasso, L., Capozza, M., Capretti, M. G., Caravetta, J., Carbonara, C., Cardilli, V., Carta, M., Castoldi, F., Castronovo, A., Cavalleri, E., Cavigioli, F., Cecchi, S., Chierici, V., Cimino, C., Cocca, F., Cocca, C., Cogo, P., Coma, M., Comito, V., Condò, V., Consigli, C., Conti, R., Corradi, M., Corsello, G., Corvaglia, L. T., Costa, A., Coscia, A., Cresi, F., Crispino, F., D’Amico, P., De Cosmo, L., De Maio, C., Del Campo, G., Di Credico, S., Di Fabio, S., Di Nicola, P., Di Paolo, A., Di Valerio, S., Distilo, A., Duca, V., Falcone, A., Falsaperla, R., Fasolato, V. A., Fatuzzo, V., Favini, F., Ferrarello, M. P., Ferrari, S., Nastro, F. Fiori, Forcellini, C. A., Fracchiolla, A., Gabriele, A., Galdo, F., Gallini, F., Gangemi, A., Gargano, G., Gazzolo, D., Gentile, M. P., Ghirardello, S., Giardina, F., Giordano, L., Gitto, E., Giuffrè, M., Grappone, L., Grasso, F., Greco, I., Grison, A., Guglielmino, R., Guidotti, I., Guzzo, I., La Forgia, N., La Placa, S., La Torre, G., Lago, P., Lanciotti, L., Lavizzari, A., Leo, F., Leonardi, V., Lestingi, D., Li, J., Liberatore, P., Lodin, D., Lubrano, R., Lucente, M., Luciani, S., Luvarà, D., Maffei, G., Maggio, A., Maggio, L., Maiolo, K., Malaigia, L., Mangili, G., Manna, A., Maranella, E., Marciano, A., Marcozzi, P., Marletta, M., Marseglia, L., Martinelli, D., Martinelli, S., Massari, S., Massenzi, L., Matina, F., Mattia, L., Mescoli, G., Migliore, I. V., Minghetti, D., Mondello, I., Montano, S., Morandi, G., Mores, N., Morreale, S., Morselli, I., Motta, M., Napolitano, M., Nardo, D., Nicolardi, A., Nider, S., Nigro, G., Nuccio, M., Orfeo, L., Ottaviano, C., Paganin, P., Palamides, S., Palatta, S., Paolillo, P., Pappalardo, M. G., Pasta, E., Patti, L., Paviotti, G., Perniola, R., Perotti, G., Perrone, S., Petrillo, F., Piazza, M. S., Piccirillo, A., Pierro, M., Piga, E., Pingitore, G. A., Pisu, S., Pittini, C., Pontiggia, F., Pontrelli, G., Primavera, A., Proto, A., Quartulli, L., Raimondi, F., Ramenghi, L., Rapsomaniki, M., Ricotti, A., Rigotti, C., Rinaldi, M., Risso, F. M., Roma, E., Romanini, E., Romano, V., Rosati, E., Rosella, V., Rulli, I., Salvo, V., Sanfilippo, C., Sannia, A., Saporito, A., Sauna, A., Scapillati, E., Schettini, F., Scorrano, A., Mantelli, S. Semeria, Sepporta, V., Sindico, P., Solinas, A., Sorrentino, E., Spaggiari, E., Staffler, A., Stella, M., Termini, D., Terrin, G., Testa, A., Tina, G., Tirantello, M., Tomasini, B., Tormena, F., Travan, L., Trevisanuto, D., Tuling, G., Tulino, V., Valenzano, L., Vedovato, S., Vendramin, S., Villani, P. E., Viola, S., Viola, V., Vitaliti, G., Vitaliti, M., Wanker, P., Yang, Y., Zanetta, S., and Zannin, E.

Published
2024
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130. Microevolution, reinfection and highly complex genomic diversity in patients with sequential isolates of Mycobacterium abscessus

Author

Buenestado-Serrano, Sergio, Martínez-Lirola, Miguel, Herranz-Martín, Marta, Esteban, Jaime, Broncano-Lavado, Antonio, Molero-Salinas, Andrea, Sanz-Pérez, Amadeo, Blázquez, Jesús, Ruedas-López, Alba, Toro, Carlos, López-Roa, Paula, Domingo, Diego, Zamarrón, Ester, Ruiz Serrano, María Jesús, Muñoz, Patricia, Pérez-Lago, Laura, and García de Viedma, Darío

Published
2024
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131. Evaluating and optimizing Acid-pH and Direct Lysis RNA extraction for SARS-CoV-2 RNA detection in whole saliva

Author

LaBute, Brayden, Fong, Jackie, Ziaee, Farinaz, Gombar, Robert, Stover, Mathew, Beaudin, Terry, Badalova, Maria, Geng, Qiudi, Corchis-Scott, Ryland, Podadera, Ana, Lago, Kyle, Xu, ZhenHuan, Lim, Fievel, Chiu, Felix, Fu, Minghua, Nie, Xiaofeng, Wu, Yuanmin, Quan, Corrina, Hamm, Caroline, McKay, R. Michael, Ng, Kenneth, Porter, Lisa A., and Tong, Yufeng

Published
2024
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132. Oncogenic enhancers prime quiescent metastatic cells to escape NK immune surveillance by eliciting transcriptional memory

Author

Michelatti, Daniela, Beyes, Sven, Bernardis, Chiara, Negri, Maria Luce, Morelli, Leonardo, Bediaga, Naiara Garcia, Poli, Vittoria, Fagnocchi, Luca, Lago, Sara, D’Annunzio, Sarah, Cona, Nicole, Gaspardo, Ilaria, Bianchi, Aurora, Jovetic, Jovana, Gianesello, Matteo, Turdo, Alice, D’Accardo, Caterina, Gaggianesi, Miriam, Dori, Martina, Forcato, Mattia, Crispatzu, Giuliano, Rada-Iglesias, Alvaro, Sosa, Maria Soledad, Timmers, H. T. Marc, Bicciato, Silvio, Todaro, Matilde, Tiberi, Luca, and Zippo, Alessio

Published
2024
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137. Presence of Preoperative Neurodegeneration Biofluid Markers in Patients with Postoperative Delirium

Author

Leung, Jacqueline M, Rojas, Julio C, Tang, Christopher, Chan, Brandon, Lario-Lago, Argentina, Boxer, Adam L, Do, Quyen, Kramer, Joel H, Du, Zhiyuan, Du, Pang, Sands, Laura P, and Group, Perioperative Medicine Research

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Aging, Clinical Research, Neurosciences, Neurodegenerative, Acquired Cognitive Impairment, Brain Disorders, Patient Safety, Mental Health, Humans, Female, Male, Emergence Delirium, Retrospective Studies, Case-Control Studies, Postoperative Complications, Biomarkers, Perioperative Medicine Research Group, Anesthesiology, Clinical sciences
Abstract

BackgroundThe pathophysiology of delirium is incompletely understood, including what molecular pathways are involved in brain vulnerability to delirium. This study examined whether preoperative plasma neurodegeneration markers were elevated in patients who subsequently developed postoperative delirium through a retrospective case-control study.MethodsInclusion criteria were patients of 65 yr of age or older, undergoing elective noncardiac surgery with a hospital stay of 2 days or more. Concentrations of preoperative plasma P-Tau181, neurofilament light chain, amyloid β1-42 (Aβ42), and glial fibrillary acidic protein were measured with a digital immunoassay platform. The primary outcome was postoperative delirium measured by the Confusion Assessment Method. The study included propensity score matching by age and sex with nearest neighbor, such that each patient in the delirium group was matched by age and sex with a patient in the no-delirium group.ResultsThe initial cohort consists of 189 patients with no delirium and 102 patients who developed postoperative delirium. Of 291 patients aged 72.5 ± 5.8 yr, 50.5% were women, and 102 (35%) developed postoperative delirium. The final cohort in the analysis consisted of a no-delirium group (n = 102) and a delirium group (n = 102) matched by age and sex using the propensity score method. Of the four biomarkers assayed, the median value for neurofilament light chain was 32.05 pg/ml for the delirium group versus 23.7 pg/ml in the no-delirium group. The distribution of biomarker values significantly differed between the delirium and no-delirium groups (P = 0.02 by the Kolmogorov-Smirnov test) with the largest cumulative probability difference appearing at the biomarker value of 32.05 pg/ml.ConclusionsThese results suggest that patients who subsequently developed delirium are more likely to be experiencing clinically silent neurodegenerative changes before surgery, reflected by changes in plasma neurofilament light chain biomarker concentrations, which may identify individuals with a preoperative vulnerability to subsequent cognitive decline.Editor’s perspective

Published
2023

138. Network Connectivity Alterations across the MAPT Mutation Clinical Spectrum

Author

Zhang, Liwen, Flagan, Taru M, Häkkinen, Suvi, Chu, Stephanie A, Brown, Jesse A, Lee, Alex J, Pasquini, Lorenzo, Mandelli, Maria Luisa, Gorno‐Tempini, Maria Luisa, Sturm, Virginia E, Yokoyama, Jennifer S, Appleby, Brian S, Cobigo, Yann, Dickerson, Bradford C, Domoto‐Reilly, Kimiko, Geschwind, Daniel H, Ghoshal, Nupur, Graff‐Radford, Neill R, Grossman, Murray, Hsiung, Ging‐Yuek Robin, Huey, Edward D, Kantarci, Kejal, Lago, Argentina Lario, Litvan, Irene, Mackenzie, Ian R, Mendez, Mario F, Onyike, Chiadi U, Ramos, Eliana Marisa, Roberson, Erik D, Tartaglia, Maria Carmela, Toga, Arthur W, Weintraub, Sandra, Wszolek, Zbigniew K, Forsberg, Leah K, Heuer, Hilary W, Boeve, Bradley F, Boxer, Adam L, Rosen, Howard J, Miller, Bruce L, Seeley, William W, Lee, Suzee E, and Consortia, the ARTFL LEFFTDS ALLFTD

Subjects
Biomedical and Clinical Sciences, Neurosciences, Clinical Sciences, Mental Health, Alzheimer's Disease, Neurodegenerative, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Research, Dementia, Alzheimer's Disease Related Dementias (ADRD), Frontotemporal Dementia (FTD), Brain Disorders, Biomedical Imaging, Rare Diseases, Acquired Cognitive Impairment, Aging, Neurological, Humans, Cross-Sectional Studies, tau Proteins, Brain, Mutation, Gray Matter, Magnetic Resonance Imaging, Frontotemporal Dementia, Biomarkers, ARTFL/LEFFTDS/ALLFTD Consortia, Neurology & Neurosurgery, Clinical sciences
Abstract

ObjectiveMicrotubule-associated protein tau (MAPT) mutations cause frontotemporal lobar degeneration, and novel biomarkers are urgently needed for early disease detection. We used task-free functional magnetic resonance imaging (fMRI) mapping, a promising biomarker, to analyze network connectivity in symptomatic and presymptomatic MAPT mutation carriers.MethodsWe compared cross-sectional fMRI data between 17 symptomatic and 39 presymptomatic carriers and 81 controls with (1) seed-based analyses to examine connectivity within networks associated with the 4 most common MAPT-associated clinical syndromes (ie, salience, corticobasal syndrome, progressive supranuclear palsy syndrome, and default mode networks) and (2) whole-brain connectivity analyses. We applied K-means clustering to explore connectivity heterogeneity in presymptomatic carriers at baseline. Neuropsychological measures, plasma neurofilament light chain, and gray matter volume were compared at baseline and longitudinally between the presymptomatic subgroups defined by their baseline whole-brain connectivity profiles.ResultsSymptomatic and presymptomatic carriers had connectivity disruptions within MAPT-syndromic networks. Compared to controls, presymptomatic carriers showed regions of connectivity alterations with age. Two presymptomatic subgroups were identified by clustering analysis, exhibiting predominantly either whole-brain hypoconnectivity or hyperconnectivity at baseline. At baseline, these two presymptomatic subgroups did not differ in neuropsychological measures, although the hypoconnectivity subgroup had greater plasma neurofilament light chain levels than controls. Longitudinally, both subgroups showed visual memory decline (vs controls), yet the subgroup with baseline hypoconnectivity also had worsening verbal memory and neuropsychiatric symptoms, and extensive bilateral mesial temporal gray matter decline.InterpretationNetwork connectivity alterations arise as early as the presymptomatic phase. Future studies will determine whether presymptomatic carriers' baseline connectivity profiles predict symptomatic conversion. ANN NEUROL 2023;94:632-646.

Published
2023

139. Constraining models for the origin of ultra-high-energy cosmic rays with a novel combined analysis of arrival directions, spectrum, and composition data measured at the Pierre Auger Observatory

Author

The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Andringa, S., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Asorey, H., Assis, P., Avila, G., Avocone, E., Badescu, A. M., Bakalova, A., Balaceanu, A., Barbato, F., Mocellin, A. Bartz, Bellido, J. A., Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Caccianiga, L., Caracas, I., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coleman, A., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Deval, L., di Matteo, A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farmer, J., Farrar, G., Fauth, A. C., Fazzini, N., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., Galelli, C., García, B., Gaudu, C., Gemmeke, H., Gesualdi, F., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Giammarchi, M., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Goos, I., Góra, D., Gorgi, A., Gottowik, M., Grubb, T. D., Guarino, F., Guedes, G. P., Guido, E., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Johnsen, J. A., Jurysek, J., Kääpä, A., Kampert, K. H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y, Lenok, V., Letessier-Selvon, A., Lhenry-Yvon, I., Presti, D. Lo, Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Marafico, S., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mastrodicasa, M., Mathes, H. J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Morello, C., Müller, A. L., Mulrey, K., Mussa, R., Muzio, M., Namasaka, W. M., Nasr-Esfahani, A., Nellen, L., Nicora, G., Niculescu-Oglinzanu, M., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A, Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Parente, G., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pereira, L. A. S., Martins, E. E. Pereira, Armand, J. Perez, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Puyleart, A., Querchfeld, S., Rautenberg, J., Ravignani, D., Reininghaus, M., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Rovero, A. C., Ruehl, P., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schlüter, F., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Silli, G., Sima, O., Simon, F., Smau, R., Šmída, R., Sommers, P., Soriano, J. F., Squartini, R., Stadelmaier, M., Stanca, D., Stanič, S., Stasielak, J., Stassi, P., Straub, M., Streich, A., Suárez-Durán, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Trimarelli, C., Tueros, M., Unger, M., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vásquez-Ramírez, A., Veberič, D., Ventura, C., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vlastimil, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., and Zavrtanik, M.

Subjects
Astrophysics - High Energy Astrophysical Phenomena
Abstract

The combined fit of the measured energy spectrum and shower maximum depth distributions of ultra-high-energy cosmic rays is known to constrain the parameters of astrophysical models with homogeneous source distributions. Studies of the distribution of the cosmic-ray arrival directions show a better agreement with models in which a fraction of the flux is non-isotropic and associated with the nearby radio galaxy Centaurus A or with catalogs such as that of starburst galaxies. Here, we present a novel combination of both analyses by a simultaneous fit of arrival directions, energy spectrum, and composition data measured at the Pierre Auger Observatory. We find that a model containing a flux contribution from the starburst galaxy catalog of around 20% at 40 EeV with a magnetic field blurring of around $20^\circ$ for a rigidity of 10 EV provides a fair simultaneous description of all three observables. The starburst galaxy model is favored with a significance of $4.5\sigma$ (considering experimental systematic effects) compared to a reference model with only homogeneously distributed background sources. By investigating a scenario with Centaurus A as a single source in combination with the homogeneous background, we confirm that this region of the sky provides the dominant contribution to the observed anisotropy signal. Models containing a catalog of jetted active galactic nuclei whose flux scales with the $\gamma$-ray emission are, however, disfavored as they cannot adequately describe the measured arrival directions.

Published
2023
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140. Sustainability in Computing Education: A Systematic Literature Review

Author

Peters, A. -K., Capilla, R., Coroamă, V. C., Heldal, R., Lago, P., Leifler, O., Moreira, A., Fernandes, J. P., Penzenstadler, B., Porras, J., and Venters, C. C.

Subjects
Computer Science - Computers and Society
Abstract

Research shows that the global society as organized today, with our current technological and economic system, is impossible to sustain. We are living in the Anthropocene, an era in which human activities in highly industrialized countries are responsible for overshooting several planetary boundaries, with poorer communities contributing least to the problems but being impacted the most. At the same time, technical and economic gains fail to provide society at large with equal opportunities and improved quality of life. This paper describes approaches taken in computing education to address the issue of sustainability. It presents results of a systematic review of literature on sustainability in computing education. From a set of 572 publications extracted from six large digital libraries plus snowballing, we distilled and analyzed the 90 relevant primary studies. Using an inductive and deductive thematic analysis, we study 1) conceptions of sustainability, computing, and education, 2) implementations of sustainability in computing education, and 3) research on sustainability in computing education. We present a framework capturing learning objectives and outcomes as well as pedagogical methods for sustainability in computing education. These results can be mapped to existing standards and curricula in future work. We find that only a few of the articles engage with the challenges as calling for drastic systemic change, along with radically new understandings of computing and education. We suggest that future research should connect to the substantial body of critical theory such as feminist theory of science and technology. Existing research on sustainability in computing education may be considered as rather immature as the majority of articles are experience reports with limited empirical research., Comment: 49 pages

Published
2023

141. Sustainability Competencies and Skills in Software Engineering: An Industry Perspective

Author

Heldal, Rogardt, Nguyen, Ngoc-Thanh, Moreira, Ana, Lago, Patricia, Duboc, Leticia, Betz, Stefanie, Coroama, Vlad C., Penzenstadler, Birgit, Porras, Jari, Capilla, Rafael, Brooks, Ian, Oyedeji, Shola, and Venters, Colin C.

Subjects
Computer Science - Software Engineering
Abstract

Achieving the UN Sustainable Development Goals (SDGs) demands adequate levels of awareness and actions to address sustainability challenges. Software systems will play an important role in moving towards these targets. Sustainability skills are necessary to support the development of software systems and to provide sustainable IT-supported services for citizens. While there is a growing number of academic bodies, including sustainability education in engineering and computer science curricula, there is not yet comprehensive research on the competencies and skills required by IT professionals to develop such systems. This study aims to identify the industrial sustainability needs for education and training from software engineers' perspective. We conducted interviews and focus groups with experts from twenty-eight organisations with an IT division from nine countries to understand their interests, goals and achievements related to sustainability, and the skills and competencies needed to achieve their goals. Our findings show that organisations are interested in sustainability, both idealistically and increasingly for core business reasons. They seek to improve the sustainability of processes and products but encounter difficulties, like the trade-off between short-term financial profitability and long-term sustainability goals. To fill the gaps, they have promoted in-house training courses, collaborated with universities, and sent employees to external training. The acquired competencies make sustainability an integral part of software development. We conclude that educational programs should include knowledge and skills on core sustainability concepts, system thinking, soft skills, technical sustainability, sustainability impact and measurements, values and ethics, standards and legal aspects, and advocacy and lobbying.

Published
2023

142. HydroPol2D -- Distributed Hydrodynamic and Water Quality Model: Challenges and Opportunities in Poorly-Gauged Catchments

Author

Gomes Jr., Marcus Nóbrega, Lago, César Ambrogi Ferreira do, Rápalo, Luis Miguel Castillo, Oliveira, Paulo Tarso S., Giacomoni, Marcio Hofheinz, and Mendiondo, Eduardo Mario

Subjects
Physics - Geophysics, Nonlinear Sciences - Cellular Automata and Lattice Gases, Physics - Fluid Dynamics
Abstract

Floods are one of the deadliest natural hazards and are fueled by excessive urbanization. Urban development decreases infiltration by reducing pervious areas and increases the accumulation of pollutants during dry weather. During wet weather events, there is an increase in the levels of pollution concentrations and stormwater runoff that eventually reach creeks and rivers. Polluted stormwater runoff may be sources of water supply. Modeling the quantity and quality dynamics of stormwater runoff requires a coupled hydrodynamic module capable of estimating the transport and fate of pollutants. In this paper, we evaluate the applicability of a distributed hydrodynamic model coupled with a water quality model (HydroPol2D). First, the model is compared to GSSHA and WCA2D in the V-Tilted catchment, and the limitation of the critical velocity of WCA2D is investigated. We also applied the model in a laboratory wooden board catchment, focusing on the validation of the numerical approach to simulate water quality dynamics. Then, we apply HydroPol2D in the Tijuco Preto catchment, in Sao Carlos - Brazil, and compare the modeling results with the full momentum solver of the Hydrologic Engineering Center - River System Analysis (HEC-RAS). The model implementation, the governing equations, and the estimation of input data are discussed, indicating the challenges and opportunities of the application of distributed models in poorly-gauged catchments. For a 1-yr return period of rainfall and antecedent dry days and assuming an uncertainty of $40\%$ in the water quality parameters, the results indicate that the maximum concentration of total suspended solids (TSS), the maximum load and the mass of the pollutant washed in $30\%$ of the volume are, $456~\pm~260~\mathrm{mg.L^{-1}.km^{-2}}$, $\mathrm{2.56 \pm 0.4~kg.s^{-1}.km^{-2}}$, and $\mathrm{89\%~\pm~10\%}$, respectively., Comment: Preprint submitted to Journal of Hydrology

Published
2023
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143. Transmission of light-matter entanglement over a metropolitan network

Author

Rakonjac, Jelena V., Grandi, Samuele, Wengerowsky, Sören, Lago-Rivera, Dario, Appas, Félicien, and de Riedmatten, Hugues

Subjects
Quantum Physics
Abstract

We report on the transmission of telecom photons entangled with a multimode solid-state quantum memory over a deployed optical fiber in a metropolitan area. Photon pairs were generated through spontaneous parametric down-conversion, with one photon stored in a rare earth-based quantum memory, and the other, at telecommunication wavelengths, traveling through increasing distances of optical fibre, first in the laboratory and then outside in a deployed fibre loop. We measured highly-non-classical correlations between the stored and the telecom photons for storage times up to 25 $\mu$s and for a fibre separation up to 50 km. We also report light-matter entanglement with a two-qubit fidelity up to 88$\%$, which remains constant within error bars for all fibre lengths, showing that the telecom qubit does not suffer decoherence during the transmission. Finally, we moved the detection stage of the telecom photons to a different location placed 17 km away, and confirmed the non-classical correlations between the two photons. Our system was adapted to provide the transmission of precise detection times and synchronization signals over long quantum communication channels, providing the first steps for a future quantum network involving quantum memories and non-classical states.

Published
2023
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144. Examining an Alternative Teacher Education Undergraduate Program: Possibilities for Teaching and Extending What It Means to Be an Educator outside of the Classroom

Author

Wakefield, Wendy, Amrein-Beardsley, Audrey, Collins, Clarin, Parra Gaete, Ivet, Glassmeyer, Kristi, Palandjian, Garine, Pretti, Esther do Lago e, Roberts, T'ata, and Terada, Takeshi

Abstract

As part of efforts to become more interdisciplinary, socially embedded, and innovative, leaders of a large college of education reimagined a program originally designed to retain struggling students to target students interested in nontraditional educational careers (e.g., nonprofits). Researchers in this study explore reasons why this program has increasingly become a program of choice through both quantitative and qualitative analyses of institutional data across the program's history and surveys of current students and instructors. Findings about shifting demographics of students enrolled in the program toward nontraditional students who appreciate the accessibility and flexibility of the online modality, as well as shifts in program focus on preparation for a broader range of educational career options are presented. Findings also highlight the possibilities of this type of program to prepare students for further educational opportunities, including graduate programs, to also facilitate university-business partnerships. Implications for continued improvement and growth of this program and the design of similar programs targeting the preparation of students for non-traditional teaching positions are also discussed.

Published
2022

145. Evaluation of wait time saving effectiveness of triage algorithms

Author

Thompson, Yee Lam Elim, Levine, Gary M, Chen, Weijie, Sahiner, Berkman, Li, Qin, Petrick, Nicholas, Delfino, Jana G, Lago, Miguel A, Cao, Qian, and Samuelson, Frank W

Subjects
Statistics - Applications
Abstract

In the past decade, Artificial Intelligence (AI) algorithms have made promising impacts to transform healthcare in all aspects. One application is to triage patients' radiological medical images based on the algorithm's binary outputs. Such AI-based prioritization software is known as computer-aided triage and notification (CADt). Their main benefit is to speed up radiological review of images with time-sensitive findings. However, as CADt devices become more common in clinical workflows, there is still a lack of quantitative methods to evaluate a device's effectiveness in saving patients' waiting times. In this paper, we present a mathematical framework based on queueing theory to calculate the average waiting time per patient image before and after a CADt device is used. We study four workflow models with multiple radiologists (servers) and priority classes for a range of AI diagnostic performance, radiologist's reading rates, and patient image (customer) arrival rates. Due to model complexity, an approximation method known as the Recursive Dimensionality Reduction technique is applied. We define a performance metric to measure the device's time-saving effectiveness. A software tool is developed to simulate clinical workflow of image review/interpretation, to verify theoretical results, and to provide confidence intervals of the performance metric we defined. It is shown quantitatively that a triage device is more effective in a busy, short-staffed setting, which is consistent with our clinical intuition and simulation results. Although this work is motivated by the need for evaluating CADt devices, the framework we present in this paper can be applied to any algorithm that prioritizes customers based on its binary outputs.

Published
2023

146. Machine Learning Enhanced Hankel Dynamic-Mode Decomposition

Author

Curtis, Christopher W., Alford-Lago, D. Jay, Bollt, Erik, and Tuma, Andrew

Subjects
Computer Science - Machine Learning, Nonlinear Sciences - Chaotic Dynamics
Abstract

While the acquisition of time series has become more straightforward, developing dynamical models from time series is still a challenging and evolving problem domain. Within the last several years, to address this problem, there has been a merging of machine learning tools with what is called the dynamic mode decomposition (DMD). This general approach has been shown to be an especially promising avenue for accurate model development. Building on this prior body of work, we develop a deep learning DMD based method which makes use of the fundamental insight of Takens' Embedding Theorem to build an adaptive learning scheme that better approximates higher dimensional and chaotic dynamics. We call this method the Deep Learning Hankel DMD (DLHDMD). We likewise explore how our method learns mappings which tend, after successful training, to significantly change the mutual information between dimensions in the dynamics. This appears to be a key feature in enhancing the DMD overall, and it should help provide further insight for developing other deep learning methods for time series analysis and model generation.

Published
2023

147. On the Lattice of Program Metrics

Author

Lago, Ugo Dal, Hoshino, Naohiko, and Pistone, Paolo

Subjects
Computer Science - Logic in Computer Science
Abstract

In this paper we are concerned with understanding the nature of program metrics for calculi with higher-order types, seen as natural generalizations of program equivalences. Some of the metrics we are interested in are well-known, such as those based on the interpretation of terms in metric spaces and those obtained by generalizing observational equivalence. We also introduce a new one, called the interactive metric, built by applying the well-known Int-Construction to the category of metric complete partial orders. Our aim is then to understand how these metrics relate to each other, i.e., whether and in which cases one such metric refines another, in analogy with corresponding well-studied problems about program equivalences. The results we obtain are twofold. We first show that the metrics of semantic origin, i.e., the denotational and interactive ones, lie \emph{in between} the observational and equational metrics and that in some cases, these inclusions are strict. Then, we give a result about the relationship between the denotational and interactive metrics, revealing that the former is less discriminating than the latter. All our results are given for a linear lambda-calculus, and some of them can be generalized to calculi with graded comonads, in the style of Fuzz.

Published
2023

148. A Log-Sensitive Encoding of Turing Machines in the $\lambda$-Calculus

Author

Accattoli, Beniamino, Lago, Ugo Dal, and Vanoni, Gabriele

Subjects
Computer Science - Logic in Computer Science, Computer Science - Programming Languages
Abstract

This note modifies the reference encoding of Turing machines in the $\lambda$-calculus by Dal Lago and Accattoli, which is tuned for time efficiency, as to accommodate logarithmic space. There are two main changes: Turing machines now have *two* tapes, an input tape and a work tape, and the input tape is encoded differently, because the reference encoding comes with a linear space overhead for managing tapes, which is excessive for studying logarithmic space., Comment: arXiv admin note: substantial text overlap with arXiv:2203.00362

Published
2023

149. An Arithmetic Theory for the Poly-Time Random Functions

Author

Antonelli, Melissa, Lago, Ugo Dal, Davoli, Davide, Oitavem, Isabel, and Pistone, Paolo

Subjects
Computer Science - Computational Complexity, Computer Science - Logic in Computer Science
Abstract

We introduce a new bounded theory RS^1_2 and show that the functions which are Sigma^b_1-representable in it are precisely random functions which can be computed in polynomial time. Concretely, we pass through a class of oracle functions over string, called POR, together with the theory of arithmetic RS^1_2. Then, we show that functions computed by poly-time PTMs are arithmetically characterized by a class of probabilistic bounded formulas., Comment: 37 pages, pre-print

Published
2023

150. The stochastic digital human is now enrolling for in silico imaging trials -- Methods and tools for generating digital cohorts

Author

Badano, A, Lago, M, Sizikova, E, Delfino, JG, Guan, S, Anastasio, MA, and Sahiner, B

Subjects
Computer Science - Artificial Intelligence, Physics - Medical Physics
Abstract

Randomized clinical trials, while often viewed as the highest evidentiary bar by which to judge the quality of a medical intervention, are far from perfect. In silico imaging trials are computational studies that seek to ascertain the performance of a medical device by collecting this information entirely via computer simulations. The benefits of in silico trials for evaluating new technology include significant resource and time savings, minimization of subject risk, the ability to study devices that are not achievable in the physical world, allow for the rapid and effective investigation of new technologies and ensure representation from all relevant subgroups. To conduct in silico trials, digital representations of humans are needed. We review the latest developments in methods and tools for obtaining digital humans for in silico imaging studies. First, we introduce terminology and a classification of digital human models. Second, we survey available methodologies for generating digital humans with healthy and diseased status and examine briefly the role of augmentation methods. Finally, we discuss the trade-offs of four approaches for sampling digital cohorts and the associated potential for study bias with selecting specific patient distributions.

Published
2023

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