Zobrazeno 1 - 10
of 266 090
pro vyhledávání: '"A. NASCIMENTO"'
Autor:
I. Pitarch Castellano, M. Cabrera-Serrano, R. Calvo Medina, M.G. Cattinari, S. Espinosa García, J.A. Fernández-Ramos, O. García Campos, D. Gómez-Andrés, M.A. Grimalt Calatayud, A.J. Gutiérrez Martínez, E. Ibáñez Albert, S. Kapetanovic García, M. Madruga-Garrido, M. Martínez-Moreno, J. Medina Cantillo, A.I. Melián Suárez, A. Moreno Escribano, F. Munell, A. Nascimento Osorio, S.I. Pascual-Pascual, M. Povedano, I.M. Santana Casiano, J.F. Vázquez-Costa
Publikováno v:
Neurología (English Edition), Vol 37, Iss 3, Pp 216-228 (2022)
Introduction: Spinal muscular atrophy (SMA) is a neurodegenerative disease caused by a biallelic mutation of the SMN1 gene, located on the long arm of chromosome 5, and predominantly affects the motor neurons of the anterior horn of the spinal cord,
Externí odkaz:
https://doaj.org/article/29c049f2aca740cbbda27ddd32a98823
The Effective Field Theory of Large Scale Structure (EFTofLSS) has found tremendous success as a perturbative framework for the evolution of large scale structure, and it is now routinely used to compare theoretical predictions against cosmological o
Externí odkaz:
http://arxiv.org/abs/2410.11949
We consider two classes of models for spatiotemporal data: one without covariates and one with covariates. If $\mathcal{T}$ is a partition of time and $\mathcal{I}$ a partition of the studied area into zones and if $\mathcal{C}$ is the set of arrival
Externí odkaz:
http://arxiv.org/abs/2410.11103
Publikováno v:
Elsevier ISPRS Journal of Photogrammetry and Remote Sensing, Volume 213, July 2024, Pages 1-13
Synthetic aperture radar (SAR) is an efficient and widely used remote sensing tool. However, data extracted from SAR images are contaminated with speckle, which precludes the application of techniques based on the assumption of additive and normally
Externí odkaz:
http://arxiv.org/abs/2410.10482
Autor:
Cadar, Felipe, Potje, Guilherme, Martins, Renato, Demonceaux, Cédric, Nascimento, Erickson R.
Visual correspondence is a crucial step in key computer vision tasks, including camera localization, image registration, and structure from motion. The most effective techniques for matching keypoints currently involve using learned sparse or dense m
Externí odkaz:
http://arxiv.org/abs/2410.09533
Autor:
Nascimento, Caio, Loverde, Marilena
We develop a novel framework for Large Scale Structure (LSS) perturbation theory, that solves the Vlasov-Poisson system of equations for the distribution function in full phase-space. This approach relaxes the usual apriori assumptions of negligible
Externí odkaz:
http://arxiv.org/abs/2410.05389
Forensic analysts often use social media imagery and texts to understand important events. A primary challenge is the initial sifting of irrelevant posts. This work introduces an interactive process for training an event-centric, learning-based multi
Externí odkaz:
http://arxiv.org/abs/2410.05359
Autor:
Kepaptsoglou, Demie, Castellanos-Reyes, José Ángel, Kerrigan, Adam, Nascimento, Júlio Alves Do, Zeiger, Paul M., Hajraoui, Khalil El, Idrobo, Juan Carlos, Mendis, Budhika G., Bergman, Anders, Lazarov, Vlado K., Rusz, Ján, Ramasse, Quentin M.
The miniaturisation of transistors is approaching its limits due to challenges in heat management and information transfer speed. To overcome these obstacles, emerging technologies such as spintronics are being developed, which leverage the electron'
Externí odkaz:
http://arxiv.org/abs/2410.02908
We consider the massless Rarita-Schwinger (RS) LV QED. In this theory, we introduce the gauge fixing to obtain the propagator for the RS field, and calculate the Carroll-Field-Jackiw term, which turns out to be finite and ambiguous, and only in one c
Externí odkaz:
http://arxiv.org/abs/2410.01550
We propose a method to measure the similarity of papers and authors by simulating a literature search procedure on citation networks, which is an information retrieval inspired conceptualization of similarity. This transition probability (TP) based a
Externí odkaz:
http://arxiv.org/abs/2409.18240