Zobrazeno 1 - 10
of 11 940
pro vyhledávání: '"BONDI A"'
Autor:
Esposito E, Pozza E, Contado C, Pula W, Bortolini O, Ragno D, Toldo S, Casciano F, Bondi A, Zauli E, Secchiero P, Zauli G, Melloni E
Publikováno v:
International Journal of Nanomedicine, Vol Volume 19, Pp 3513-3536 (2024)
Elisabetta Esposito,1 Elena Pozza,2 Catia Contado,1 Walter Pula,1 Olga Bortolini,3 Daniele Ragno,1 Sofia Toldo,3 Fabio Casciano,4 Agnese Bondi,1 Enrico Zauli,2 Paola Secchiero,4 Giorgio Zauli,3 Elisabetta Melloni4 1Department of Chemical, Pharmaceuti
Externí odkaz:
https://doaj.org/article/3e165a57e5384a8895f66851c26bf09e
Autor:
Bondi Arifin, Titik Anas
Publikováno v:
Human Vaccines & Immunotherapeutics, Vol 17, Iss 11, Pp 3898-3906 (2021)
The development of safe and effective COVID-19 vaccines as well as their delivery to people’s arms are the best hope for ending the COVID-19 pandemic. However, the implementation of vaccination varies greatly across countries, with the developing c
Externí odkaz:
https://doaj.org/article/0e8060061d6f4ee692b2096780535145
Autor:
Morabito, Leah K., Kondapally, R., Best, P. N., Yue, B. -H., de Jong, J. M. G. H. J., Sweijen, F., Bondi, Marco, Schwarz, Dominik J., Smith, D. J. B., van Weeren, R. J., Röttgering, H. J. A., Shimwell, T. W., Prandoni, Isabella
Both star formation (SF) and Active Galactic Nuclei (AGN) play an important role in galaxy evolution. Statistically quantifying their relative importance can be done using radio luminosity functions. Until now these relied on galaxy classifications,
Externí odkaz:
http://arxiv.org/abs/2411.05069
Autor:
Gordon, Lucia, Behari, Nikhil, Collier, Samuel, Bondi-Kelly, Elizabeth, Killian, Jackson A., Ressijac, Catherine, Boucher, Peter, Davies, Andrew, Tambe, Milind
Publikováno v:
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence. AI for Good. Pages 5977-5985. 2023
Much of Earth's charismatic megafauna is endangered by human activities, particularly the rhino, which is at risk of extinction due to the poaching crisis in Africa. Monitoring rhinos' movement is crucial to their protection but has unfortunately pro
Externí odkaz:
http://arxiv.org/abs/2409.18104
In speech deepfake detection, one of the critical aspects is developing detectors able to generalize on unseen data and distinguish fake signals across different datasets. Common approaches to this challenge involve incorporating diverse data into th
Externí odkaz:
http://arxiv.org/abs/2409.17598
One of the most powerful and enduring ideas in written discourse analysis is that genres can be described in terms of the moves which structure a writer's purpose. Considerable research has sought to identify these distinct communicative acts, but an
Externí odkaz:
http://arxiv.org/abs/2407.15612
Autor:
de Jong, J. M. G. H. J., van Weeren, R. J., Sweijen, F., Oonk, J. B. R., Shimwell, T. W., Offringa, A. R., Morabito, L. K., Röttgering, H. J. A., Kondapally, R., Escott, E. L., Best, P. N., Bondi, M., Ye, H., Petley, J. W.
We present the deepest wide-field 115-166 MHz image at sub-arcsecond resolution spanning an area of 2.5 by 2.5 degrees centred at the ELAIS-N1 deep field. To achieve this, we improved the calibration for the International LOFAR Telescope. This enhanc
Externí odkaz:
http://arxiv.org/abs/2407.13247
Image retrieval plays a pivotal role in applications from wildlife conservation to healthcare, for finding individual animals or relevant images to aid diagnosis. Although deep learning techniques for image retrieval have advanced significantly, thei
Externí odkaz:
http://arxiv.org/abs/2407.08908
Autor:
Fabbri, Luca, Migliaccio, Ludovico, Širvinskytė, Aleksandra, Rizzi, Giacomo, Bondi, Luca, Tamarozzi, Cristiano, Weber, Stefan A. L., Fraboni, Beatrice, Glowacki, Eric Daniel, Cramer, Tobias
Light activated local stimulation and sensing of biological cells offers enormous potential for minimally invasive bioelectronic interfaces. Organic semiconductors are a promising material class to achieve this kind of transduction due to their optoe
Externí odkaz:
http://arxiv.org/abs/2406.18447
Autor:
CLAS Collaboration, Hobart, A., Niccolai, S., Čuić, M., Kumerički, K., Achenbach, P., Alvarado, J. S., Armstrong, W. R., Atac, H., Avakian, H., Baashen, L., Baltzell, N. A., Barion, L., Bashkanov, M., Battaglieri, M., Benkel, B., Benmokhtar, F., Bianconi, A., Biselli, A. S., Boiarinov, S., Bondi, M., Booth, W. A., Bossù, F., Brinkmann, K. -Th., Briscoe, W. J., Brooks, W. K., Bueltmann, S., Burkert, V. D., Cao, T., Capobianco, R., Carman, D. S., Chatagnon, P., Ciullo, G., Cole, P. L., Contalbrigo, M., D'Angelo, A., Dashyan, N., De Vita, R., Defurne, M., Deur, A., Diehl, S., Dilks, C., Djalali, C., Dupre, R., Egiyan, H., Alaoui, A. El, Fassi, L. El, Elouadrhiri, L., Fegan, S., Filippi, A., Fogler, C., Gates, K., Gavalian, G., Gilfoyle, G. P., Glazier, D., Gothe, R. W., Gotra, Y., Guidal, M., Hafidi, K., Hakobyan, H., Hattawy, M., Hauenstein, F., Heddle, D., Holtrop, M., Ilieva, Y., Ireland, D. G., Isupov, E. L., Jiang, H., Jo, H. S., Joo, K., Kageya, T., Kim, A., Kim, W., Klimenko, V., Kripko, A., Kubarovsky, V., Kuhn, S. E., Lanza, L., Leali, M., Lee, S., Lenisa, P., Li, X., MacGregor, I. J. D., Marchand, D., Mascagna, V., Maynes, M., McKinnon, B., Meziani, Z. E., Migliorati, S., Milner, R. G., Mineeva, T., Mirazita, M., Mokeev, V., Camacho, C. Muñoz, Nadel-Turonski, P., Naidoo, P., Neupane, K., Niculescu, G., Osipenko, M., Pandey, P., Paolone, M., Pappalardo, L. L., Paremuzyan, R., Pasyuk, E., Paul, S. J., Phelps, W., Pilleux, N., Pokhrel, M., Rafael, S. Polcher, Poudel, J., Price, J. W., Prok, Y., Reed, T., Richards, J., Ripani, M., Ritman, J., Rossi, P., Golubenko, A. A., Salgado, C., Schadmand, S., Schmidt, A., Scott, Marshall B. C., Seroka, E. M., Sharabian, Y. G., Shirokov, E. V., Shrestha, U., Sparveris, N., Spreafico, M., Stepanyan, S., Strakovsky, I. I., Strauch, S., Tan, J. A., Trotta, N., Tyson, R., Ungaro, M., Vallarino, S., Venturelli, L., Tommaso, V., Voskanyan, H., Voutier, E., Watts, D. P, Wei, X., Williams, R., Wood, M. H., Xu, L., Zachariou, N., Zhang, J., Zhao, Z. W., Zurek, M.
Measuring Deeply Virtual Compton Scattering on the neutron is one of the necessary steps to understand the structure of the nucleon in terms of Generalized Parton Distributions (GPDs). Neutron targets play a complementary role to transversely polariz
Externí odkaz:
http://arxiv.org/abs/2406.15539