Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Mona Matar"'
Autor:
Matthew T. Prelich, Mona Matar, Suleyman A. Gokoglu, Christopher A. Gallo, Alexander Schepelmann, Asad K. Iqbal, Beth E. Lewandowski, Richard A. Britten, R. K. Prabhu, Jerry G. Myers
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
This study presents a data-driven machine learning approach to predict individual Galactic Cosmic Radiation (GCR) ion exposure for 4He, 16O, 28Si, 48Ti, or 56Fe up to 150 mGy, based on Attentional Set-shifting (ATSET) experimental tests. The ATSET as
Externí odkaz:
https://doaj.org/article/88e893f67d0645cd94274fe9cddf2c19
Autor:
Mona Matar, Suleyman A. Gokoglu, Matthew T. Prelich, Christopher A. Gallo, Asad K. Iqbal, Richard A. Britten, R. K. Prabhu, Jerry G. Myers
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
This research uses machine-learned computational analyses to predict the cognitive performance impairment of rats induced by irradiation. The experimental data in the analyses is from a rodent model exposed to ≤15 cGy of individual galactic cosmic
Externí odkaz:
https://doaj.org/article/46c6303b558e494998698b43a9c346ed
Autor:
Lauren M. Sanders, Ryan T. Scott, Jason H. Yang, Amina Ann Qutub, Hector Garcia Martin, Daniel C. Berrios, Jaden J. A. Hastings, Jon Rask, Graham Mackintosh, Adrienne L. Hoarfrost, Stuart Chalk, John Kalantari, Kia Khezeli, Erik L. Antonsen, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Guillermo M. Delgado-Aparicio, Benjamin S. Glicksberg, Casey S. Greene, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Christopher E. Mason, Mona Matar, George I. Mias, Jack Miller, Jerry G. Myers, Charlotte Nelson, Jonathan Oribello, Seung-min Park, Patricia Parsons-Wingerter, R. K. Prabhu, Robert J. Reynolds, Amanda Saravia-Butler, Suchi Saria, Aenor Sawyer, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, Corey A. Theriot, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Marinka Zitnik, Sylvain V. Costes
Publikováno v:
Nature Machine Intelligence. 5:208-219
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::99f45b1caa50fbcc304fc41dc1519067
https://doi.org/10.1038/s42256-023-00618-4
https://doi.org/10.1038/s42256-023-00618-4
Autor:
Ryan T. Scott, Lauren M. Sanders, Erik L. Antonsen, Jaden J. A. Hastings, Seung-min Park, Graham Mackintosh, Robert J. Reynolds, Adrienne L. Hoarfrost, Aenor Sawyer, Casey S. Greene, Benjamin S. Glicksberg, Corey A. Theriot, Daniel C. Berrios, Jack Miller, Joel Babdor, Richard Barker, Sergio E. Baranzini, Afshin Beheshti, Stuart Chalk, Guillermo M. Delgado-Aparicio, Melissa Haendel, Arif A. Hamid, Philip Heller, Daniel Jamieson, Katelyn J. Jarvis, John Kalantari, Kia Khezeli, Svetlana V. Komarova, Matthieu Komorowski, Prachi Kothiyal, Ashish Mahabal, Uri Manor, Hector Garcia Martin, Christopher E. Mason, Mona Matar, George I. Mias, Jerry G. Myers, Charlotte Nelson, Jonathan Oribello, Patricia Parsons-Wingerter, R. K. Prabhu, Amina Ann Qutub, Jon Rask, Amanda Saravia-Butler, Suchi Saria, Nitin Kumar Singh, Michael Snyder, Frank Soboczenski, Karthik Soman, David Van Valen, Kasthuri Venkateswaran, Liz Warren, Liz Worthey, Jason H. Yang, Marinka Zitnik, Sylvain V. Costes
Publikováno v:
Nature Machine Intelligence. 5:196-207
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c2f2c2831decdf4ca499077bf26aee51
https://doi.org/10.1038/s42256-023-00617-5
https://doi.org/10.1038/s42256-023-00617-5
During long-duration spaceflight, astronauts will experience gravity-transitions (G-transitions) between Earth-gravity (1G) and hypogravity (gravity
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::068963e79caab7360c1e4586c300e808
https://doi.org/10.21203/rs.3.rs-2142272/v1
https://doi.org/10.21203/rs.3.rs-2142272/v1
Publikováno v:
Numerical Algorithms. 88:583-614
This paper is concerned with the identification of important nodes in node-weighted graphs by applying matrix functions, in particular the matrix exponential. Many tools that use an adjacency matrix for a graph have been developed to study the import
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f8e37e2568d38371d7f509213e314dad
https://doi.org/10.1007/s11075-020-01050-0
https://doi.org/10.1007/s11075-020-01050-0
Autor:
Raj Prabhu, Richard A. Britten, Jerry G. Myers, Suleyman A. Gokoglu, Matthew T. Prelich, Asad K. Iqbal, Christopher A. Gallo, Mona Matar
Publikováno v:
Frontiers in Systems Neuroscience, Vol 15 (2021)
Frontiers in Systems Neuroscience
Frontiers in Systems Neuroscience
This research uses machine-learned computational analyses to predict the cognitive performance impairment of rats induced by irradiation. The experimental data in the analyses is from a rodent model exposed to ≤15 cGy of individual galactic cosmic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68f18ea95ec782c2cca1a8097f2409ed
https://doi.org/10.3389/fnsys.2021.713131
https://doi.org/10.3389/fnsys.2021.713131
Publikováno v:
Journal of Computational and Applied Mathematics. 355:182-192
The matrix exponential has been identified as a useful tool for the analysis of undirected networks, with sound theoretical justifications for its ability to model important aspects of a given network. Its use for directed networks, however, is less
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9abb4b85fcca7ab96592b76e0e1892aa
https://doi.org/10.1016/j.cam.2019.01.015
https://doi.org/10.1016/j.cam.2019.01.015
Publikováno v:
Numerical Algorithms. 83:807-832
This paper is concerned with the identification of important edges in a network, in both their roles as transmitters and receivers of information. We propose a method based on computing the matrix exponential of a matrix associated with a line graph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1103e34bb5d5bda3b3c1d7dc166681d9
https://doi.org/10.1007/s11075-019-00704-y
https://doi.org/10.1007/s11075-019-00704-y
Autor:
Ahmed H. Yousef, Mohammad Y. Jad, Cherif Salama, Suzanne S. Habashi, Mona Matar, Tarek El-Gafy
Publikováno v:
2016 11th International Conference on Computer Engineering & Systems (ICCES).
The university course timetabling problem (UCTP) is a combinatorial optimization problem of great importance for every university. This paper proposes the use of a parallel evolutionary algorithm to solve the problem and focuses on accelerating the p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54fde2f8bb9bbe4a02cc69e15f2020ed
https://doi.org/10.1109/icces.2016.7821982
https://doi.org/10.1109/icces.2016.7821982