Risk Assessment of Acute Myocardial Infarction and Stroke Associated with Long-Acting Muscarinic Antagonists, Alone or in Combination, versus Long-Acting beta2-Agonists

Autor: Rebordosa C, Plana E, Rubino A, Aguado J, Martinez D, Lei A, Daoud S, Saigi-Morgui N, Perez-Gutthann S, Rivero-Ferrer E

Publikováno v: International Journal of COPD, Vol Volume 17, Pp 1715-1733 (2022)

Cristina Rebordosa,1 Estel Plana,2 Annalisa Rubino,3 Jaume Aguado,2 David Martinez,2 Alejhandra Lei,4 Sami Daoud,5 Nuria Saigi-Morgui,1 Susana Perez-Gutthann,1 Elena Rivero-Ferrer1 1Department of Epidemiology and Risk Management, RTI Health Solutions

Externí odkaz: https://doaj.org/article/e14880eff97247c8b800105549f270a8

Requirements on the gain calibration for LiteBIRD polarisation data with blind component separation

Autor: Carralot, F., Carones, A., Krachmalnicoff, N., Ghigna, T., Novelli, A., Pagano, L., Piacentini, F., Baccigalupi, C., Adak, D., Anand, A., Aumont, J., Azzoni, S., Ballardini, M., Banday, A. J., Barreiro, R. B., Bartolo, N., Basak, S., Basyrov, A., Bersanelli, M., Bortolami, M., Brinckmann, T., Cacciotti, F., Campeti, P., Carinos, E., Casas, F. J., Cheung, K., Clermont, L., Columbro, F., Conenna, G., Coppi, G., Coppolecchia, A., Cuttaia, F., de Bernardis, P., De Lucia, M., Della Torre, S., Di Giorgi, E., Diego-Palazuelos, P., Essinger-Hileman, T., Ferreira, E., Finelli, F., Franceschet, C., Galloni, G., Galloway, M., Gervasi, M., Génova-Santos, R. T., Giardiello, S., Gimeno-Amo, C., Gjerløw, E., Gruppuso, A., Hazumi, M., Henrot-Versillé, S., Hergt, L. T., Hivon, E., Ishino, H., Jost, B., Kohri, K., Lamagna, L., Leloup, C., Lembo, M., Levrier, F., Lonappan, A. I., López-Caniego, M., Luzzi, G., Macias-Perez, J., Martínez-González, E., Masi, S., Matarrese, S., Matsumura, T., Micheli, S., Monelli, M., Montier, L., Morgante, G., Mot, B., Mousset, L., Nagano, Y., Nagata, R., Namikawa, T., Natoli, P., Obata, I., Occhiuzzi, A., Paiella, A., Paoletti, D., Pascual-Cisneros, G., Patanchon, G., Pavlidou, V., Pisano, G., Polenta, G., Porcelli, L., Puglisi, G., Raffuzzi, N., Remazeilles, M., Rubiño-Martín, J. A., Ruiz-Granda, M., Sanghavi, J., Scott, D., Shiraishi, M., Sullivan, R. M., Takase, Y., Tassis, K., Terenzi, L., Tomasi, M., Tristram, M., Vacher, L., van Tent, B., Vielva, P., Weymann-Despres, G., Wollack, E. J., Zannoni, M., Zhou, Y.

Future cosmic microwave background (CMB) experiments are primarily targeting a detection of the primordial $B$-mode polarisation. The faintness of this signal requires exquisite control of systematic effects which may bias the measurements. In this w

Externí odkaz: http://arxiv.org/abs/2411.02080

KISS: instrument description and performance

Autor: Macías-Pérez, J. F., Fernández-Torreiro, M., Catalano, A., Fasano, A., Aguiar, M., Beelen, A., Benoit, A., Bideaud, A., Bounmy, J., Bourrion, O., Calvo, M., Castro-Almazán, J. A., de Bernardis, P., de Petris, M., de Taoro, A. P., Garde, G., Génova-Santos, R. T., Gomez, A., Gómez-Renasco, M. F., Goupy, J., Hoarau, C., Hoyland, R., Lagache, G., Marpaud, J., Marton, M., Masi, S., Monfardini, A., Peel, M. W., Pisano, G., Ponthieu, N., Rebolo, R., Roni, S., Roudier, S., Rubiño-Martín, J. A., Tourres, D., Tucker, C., Viera-Curvelo, T., Vescovi, C.

Kinetic inductance detectors (KIDs) have been proven as reliable systems for astrophysical observations, especially in the millimetre range. Their compact size enables to optimally fill the focal plane, thus boosting sensitivity. The KISS (KIDs Inter

Externí odkaz: http://arxiv.org/abs/2409.20272

A Cohort Study to Evaluate the Risk of Hospitalisation for Congestive Heart Failure Associated with the Use of Aclidinium and Other Chronic Obstructive Pulmonary Disease Medications in the UK Clinical Practice Research Datalink

Autor: Rebordosa C, Plana E, Rubino A, Aguado J, Lei A, Daoud S, Saigi-Morgui N, Perez-Gutthann S, Rivero-Ferrer E

Publikováno v: International Journal of COPD, Vol Volume 16, Pp 1461-1475 (2021)

Cristina Rebordosa, 1 Estel Plana, 1 Annalisa Rubino, 2 Jaume Aguado, 1 Alejhandra Lei, 3 Sami Daoud, 4 Nuria Saigi-Morgui, 1 Susana Perez-Gutthann, 1 Elena Rivero-Ferrer 1 1RTI Health Solutions, Barcelona, Spain; 2Epidemiology, Respiratory and Immun

Externí odkaz: https://doaj.org/article/c13d122b79e147dc8fd869aa9c4678a9

Multi-Agent Deep Reinforcement Learning for Resilience Optimization in 5G RAN

Autor: Kaada, Soumeya, Tran, Dinh-Hieu, Van Huynh, Nguyen, Morel, Marie-Line Alberi, Jelassi, Sofiene, Rubino, Gerardo

Resilience is defined as the ability of a network to resist, adapt, and quickly recover from disruptions, and to continue to maintain an acceptable level of services from users' perspective. With the advent of future radio networks, including advance

Externí odkaz: http://arxiv.org/abs/2407.18066