Zobrazeno 1 - 10
of 5 963
pro vyhledávání: '"Yousfi A"'
Autor:
Yousfi Ahmed, Jean Justine, Moncayo Kevyn Gallegos, Magaud Florent, Boussinot Guillaume, Demortière Arnaud
Publikováno v:
BIO Web of Conferences, Vol 129, p 25017 (2024)
Externí odkaz:
https://doaj.org/article/b3012102343d4aa2a92ba1e55dba0396
Publikováno v:
International Journal of Energy Economics and Policy, Vol 13, Iss 3 (2023)
The type of relationship that can link energy with economic growth plays a major role in determining the macroeconomic policy of a country. Therefore, several studies have been carried out to derive econometric models to link energy consumption with
Externí odkaz:
https://doaj.org/article/c1b7f633b0e04eb8843d58407ed8369e
An appropriate description of the lithiation/delithiation dynamics in bi-phasic primary cathode particles of Li-ion batteries requires an accurate treatment of the conditions holding at the interface between the particle and the surrounding liquid el
Externí odkaz:
http://arxiv.org/abs/2410.22970
Autor:
Wang, Yi Kan, Tydlitatova, Ludmila, Kunz, Jeremy D., Oakley, Gerard, Godrich, Ran A., Lee, Matthew C. H., Vanderbilt, Chad, Yousfi, Razik, Fuchs, Thomas, Klimstra, David S., Liu, Siqi
Many molecular alterations serve as clinically prognostic or therapy-predictive biomarkers, typically detected using single or multi-gene molecular assays. However, these assays are expensive, tissue destructive and often take weeks to complete. Usin
Externí odkaz:
http://arxiv.org/abs/2408.09554
Autor:
Zimmermann, Eric, Vorontsov, Eugene, Viret, Julian, Casson, Adam, Zelechowski, Michal, Shaikovski, George, Tenenholtz, Neil, Hall, James, Klimstra, David, Yousfi, Razik, Fuchs, Thomas, Fusi, Nicolo, Liu, Siqi, Severson, Kristen
Foundation models are rapidly being developed for computational pathology applications. However, it remains an open question which factors are most important for downstream performance with data scale and diversity, model size, and training algorithm
Externí odkaz:
http://arxiv.org/abs/2408.00738
In this paper we will study the set of parameters in which certain partial derivatives of the Green's function, related to a $n$-order linear operator $T_{n}[M]$, depending on a real parameter $M$, coupled to different two-point boundary conditions,
Externí odkaz:
http://arxiv.org/abs/2406.01509
Autor:
Shaikovski, George, Casson, Adam, Severson, Kristen, Zimmermann, Eric, Wang, Yi Kan, Kunz, Jeremy D., Retamero, Juan A., Oakley, Gerard, Klimstra, David, Kanan, Christopher, Hanna, Matthew, Zelechowski, Michal, Viret, Julian, Tenenholtz, Neil, Hall, James, Fusi, Nicolo, Yousfi, Razik, Hamilton, Peter, Moye, William A., Vorontsov, Eugene, Liu, Siqi, Fuchs, Thomas J.
Foundation models in computational pathology promise to unlock the development of new clinical decision support systems and models for precision medicine. However, there is a mismatch between most clinical analysis, which is defined at the level of o
Externí odkaz:
http://arxiv.org/abs/2405.10254
Publikováno v:
Results in Control and Optimization 14 (2024), Art. 100356, 5 pp
Using the recent weighted generalized fractional order operators of Hattaf, a general fractional optimal control problem without constraints on the values of the control functions is formulated and a corresponding (weak) version of Pontryagin's maxim
Externí odkaz:
http://arxiv.org/abs/2312.10086
Autor:
Vorontsov, Eugene, Bozkurt, Alican, Casson, Adam, Shaikovski, George, Zelechowski, Michal, Liu, Siqi, Severson, Kristen, Zimmermann, Eric, Hall, James, Tenenholtz, Neil, Fusi, Nicolo, Mathieu, Philippe, van Eck, Alexander, Lee, Donghun, Viret, Julian, Robert, Eric, Wang, Yi Kan, Kunz, Jeremy D., Lee, Matthew C. H., Bernhard, Jan, Godrich, Ran A., Oakley, Gerard, Millar, Ewan, Hanna, Matthew, Retamero, Juan, Moye, William A., Yousfi, Razik, Kanan, Christopher, Klimstra, David, Rothrock, Brandon, Fuchs, Thomas J.
The use of artificial intelligence to enable precision medicine and decision support systems through the analysis of pathology images has the potential to revolutionize the diagnosis and treatment of cancer. Such applications will depend on models' a
Externí odkaz:
http://arxiv.org/abs/2309.07778
Autor:
Unbehaun, T., Mohrmann, L., Funk, S., Aiello, S., Albert, A., Garre, S. Alves, Aly, Z., Ambrosone, A., Ameli, F., Andre, M., Androutsou, E., Anghinolfi, M., Anguita, M., Aphecetche, L., Ardid, M., Ardid, S., Atmani, H., Aublin, J., Bagatelas, C., Bailly-Salins, L., Bardačová, Z., Baret, B., Pree, S. Basegmez du, Becherini, Y., Bendahman, M., Benfenati, F., Benhassi, M., Benoit, D. M., Berbee, E., Bertin, V., Biagi, S., Boettcher, M., Cabo, M. Bou, Boumaaza, J., Bouta, M., Bouwhuis, M., Bozza, C., Bozza, R. M., Brânzaş, H., Bretaudeau, F., Bruijn, R., Brunner, J., Bruno, R., Buis, E., Buompane, R., Busto, J., Caiffi, B., Calvo, D., Campion, S., Capone, A., Carenini, F., Carretero, V., Cartraud, T., Castaldi, P., Cecchini, V., Celli, S., Cerisy, L., Chabab, M., Chadolias, M., Chen, A., Cherubini, S., Chiarusi, T., Circella, M., Cocimano, R., Coelho, J. A. B., Coleiro, A., Coniglione, R., Coyle, P., Creusot, A., Cruz, A., Cuttone, G., Dallier, R., Darras, Y., De Benedittis, A., De Martino, B., Decoene, V., Del Burgo, R., Di Mauro, L. S., Di Palma, I., Díaz, A. F., Diego-Tortosa, D., Distefano, C., Domi, A., Donzaud, C., Dornic, D., Dörr, M., Drakopoulou, E., Drouhin, D., Dvornický, R., Eberl, T., Eckerová, E., Eddymaoui, A., van Eeden, T., Eff, M., van Eijk, D., Bojaddaini, I. El, Hedri, S. El, Enzenhöfer, A., Ferrara, G., Filipović, M. D., Filippini, F., Fusco, L. A., Gabriel, J., Gal, T., Méndez, J. García, Soto, A. Garcia, Oliver, C. Gatius, Geißelbrecht, N., Ghaddari, H., Gialanella, L., Gibson, B. K., Giorgio, E., Girardi, A., Goos, I., Gozzini, S. R., Gracia, R., Graf, K., Guderian, D., Guidi, C., Guillon, B., Gutiérrez, M., van Haren, H., Heijboer, A., Hekalo, A., Hennig, L., Hernández-Rey, J. J., Huang, F., Ibnsalih, W. Idrissi, Illuminati, G., James, C. W., de Jong, M., de Jong, P., Jung, B. J., Kalaczyński, P., Kalekin, O., Katz, U. F., Chowdhury, N. R. Khan, Khatun, A., Kistauri, G., van der Knaap, F., Kouchner, A., Kulikovskiy, V., Kvatadze, R., Labalme, M., Lahmann, R., Larosa, G., Lastoria, C., Lazo, A., Stum, S. Le, Lehaut, G., Leonora, E., Lessing, N., Levi, G., Clark, M. Lindsey, Longhitano, F., Majumdar, J., Malerba, L., Mańczak, J., Manfreda, A., Marconi, M., Margiotta, A., Marinelli, A., Markou, C., Martin, L., Marzaioli, F., Mastrodicasa, M., Mastroianni, S., Miccichè, S., Miele, G., Migliozzi, P., Migneco, E., Mijakowski, P., Mitsou, M. L., Mollo, C. M., Morales-Gallegos, L., Morley-Wong, C., Mosbrugger, A., Moussa, A., Mateo, I. Mozun, Muller, R., Musone, M. R., Musumeci, M., Nauta, L., Navas, S., Nayerhoda, A., Nicolau, C. A., Nkosi, B., Fearraigh, B. Ó, Oliviero, V., Orlando, A., Oukacha, E., González, J. Palacios, Papalashvili, G., Gomez, E. J. Pastor, Păun, A. M., Păvălaş, G. E., Martínez, S. Peña, Perrin-Terrin, M., Perronnel, J., Pestel, V., Pestes, R., Piattelli, P., Poirè, C., Popa, V., Pradier, T., Pulvirenti, S., Quéméner, G., Quiroz, C., Rahaman, U., Randazzo, N., Razzaque, S., Rea, I. C., Real, D., Reck, S., Riccobene, G., Robinson, J., Romanov, A., Roscilli, L., Saina, A., Greus, F. Salesa, Samtleben, D. F. E., Losa, A. Sánchez, Sanguineti, M., Santonastaso, C., Santonocito, D., Sapienza, P., Schnabel, J., Schneider, M. F., Schumann, J., Schutte, H. M., Seneca, J., Sennan, N., Setter, B., Sgura, I., Shanidze, R., Shitov, Y., Šimkovic, F., Simonelli, A., Sinopoulou, A., Smirnov, M. V., Spisso, B., Spurio, M., Stavropoulos, D., Štekl, I., Taiuti, M., Tayalati, Y., Tedjditi, H., Thiersen, H., Melo, I. Tosta e, Trocme, B., Tsagkli, S., Tsourapis, V., Tzamariudaki, E., Vacheret, A., Valsecchi, V., Van Elewyck, V., Vannoye, G., Vasileiadis, G., de Sola, F. Vazquez, Verilhac, C., Veutro, A., Viola, S., Vivolo, D., Warnhofer, H., Wilms, J., de Wolf, E., Yousfi, T., Zarpapis, G., Zavatarelli, S., Zegarelli, A., Zito, D., Zornoza, J. D., Zúñiga, J., Zywucka, N.
Publikováno v:
European Physical Journal C 84, 112 (2024)
The Cherenkov Telescope Array and the KM3NeT neutrino telescopes are major upcoming facilities in the fields of $\gamma$-ray and neutrino astronomy, respectively. Possible simultaneous production of $\gamma$ rays and neutrinos in astrophysical accele
Externí odkaz:
http://arxiv.org/abs/2309.03007