Zobrazeno 1 - 10
of 851
pro vyhledávání: '"Magal P"'
Autor:
Demongeot, Jacques, Magal, Pierre
The chronological age used in demography describes the linear evolution of the life of a living being. The chronological age cannot give precise information about the exact developmental stage or aging processes an organism has reached. On the contra
Externí odkaz:
http://arxiv.org/abs/2309.17106
Autor:
Demongeot, J., Magal, P.
In this review, we successively present the methods for phenomenological modeling of the evolution of reported and unreported cases of COVID-19, both in the exponential phase of growth and then in a complete epidemic wave. After the case of an isolat
Externí odkaz:
http://arxiv.org/abs/2309.17087
Autor:
Griette, Quentin, Magal, Pierre
We study the problem of transfers in a population structured by a continuous variable corresponding to the quantity being transferred. The model takes the form of an integro-differential equations with kernels corresponding to the specific rules of t
Externí odkaz:
http://arxiv.org/abs/2309.17028
Autor:
Magal, Pierre
This article proposes a new model to describe human intra-city mobility. The goal is to combine the convection-diffusion equation to describe commuting people's movement and the density of individuals at home. We propose a new model extending our pre
Externí odkaz:
http://arxiv.org/abs/2309.17030
Predicting the endemic/epidemic transition during the temporal evolution of a contagious disease. Methods: Defining indicators for detecting the transition endemic/epidemic, with four scalars to be compared, calculated from the daily reported news ca
Externí odkaz:
http://arxiv.org/abs/2309.17026
Onboard machine learning on the latest satellite hardware offers the potential for significant savings in communication and operational costs. We showcase the training of a machine learning model on a satellite constellation for scene classification
Externí odkaz:
http://arxiv.org/abs/2305.04059
Autor:
Avishai Maliah, Nadine Santana-Magal, Shivang Parikh, Sagi Gordon, Keren Reshef, Yuval Sade, Aseel Khateeb, Alon Richter, Amit Gutwillig, Roma Parikh, Tamar Golan, Matan Krissi, Manho Na, Gal Binshtok, Paulee Manich, Nadav Elkoshi, Sharon Grisaru-Tal, Valentina Zemser-Werner, Ronen Brenner, Hananya Vaknine, Eran Nizri, Lilach Moyal, Iris Amitay-Laish, Luiza Rosemberg, Ariel Munitz, Noga Kronfeld-Schor, Eric Shifrut, Oren Kobiler, Asaf Madi, Tamar Geiger, Yaron Carmi, Carmit Levy
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-16 (2024)
Abstract T cell inhibitory mechanisms prevent autoimmune reactions, while cancer immunotherapy aims to remove these inhibitory signals. Chronic ultraviolet (UV) exposure attenuates autoimmunity through promotion of poorly understood immune-suppressiv
Externí odkaz:
https://doaj.org/article/558f6188a6ba4158b35fee08d311324d
The next generation of spacecraft is anticipated to enable various new applications involving onboard processing, machine learning and decentralised operational scenarios. Even though many of these have been previously proposed and evaluated, the ope
Externí odkaz:
http://arxiv.org/abs/2302.02659
Autor:
Maryana Daood, Noa Magal, Leehe Peled-Avron, Michael Nevat, Rachel Ben-Hayun, Judith Aharon-Peretz, Rachel Tomer, Roee Admon
Publikováno v:
Behavioral and Brain Functions, Vol 20, Iss 1, Pp 1-13 (2024)
Abstract Background The Default Mode Network (DMN) is a central neural network, with recent evidence indicating that it is composed of functionally distinct sub-networks. Methylphenidate (MPH) administration has been shown before to modulate impulsiv
Externí odkaz:
https://doaj.org/article/181f672ff50f462f92e3486e089df548
Autor:
Leen Farhat-Younis, Manho Na, Amichai Zarfin, Aseel Khateeb, Nadine Santana-Magal, Alon Richter, Amit Gutwillig, Diana Rasoulouniriana, Annette Gleiberman, Lir Beck, Tamar Giger, Avraham Ashkenazi, Adi Barzel, Peleg Rider, Yaron Carmi
Publikováno v:
eLife, Vol 13 (2024)
Externí odkaz:
https://doaj.org/article/f9a3adc13def42b0b29b48a9f758942d