Zobrazeno 1 - 10
of 901
pro vyhledávání: '"Jorge, Gonzalez"'
We develop two novel couplings between general pure-jump L\'evy processes in $\R^d$ and apply them to obtain upper bounds on the rate of convergence in an appropriate Wasserstein distance on the path space for a wide class of L\'evy processes attract
Externí odkaz:
http://arxiv.org/abs/2411.03609
Autor:
Matthew Pease, Jonathan Elmer, Arka N. Mallela, Jorge Gonzalez-Martinez, David O. Okonkwo, Flora Hammond, Sergiu Abramovici, James F. Castellano, Wesley T. Kerr
Publikováno v:
Neurotrauma Reports, Vol 5, Iss 1, Pp 330-336 (2024)
Seizures are common after severe traumatic brain injury (TBI), with rates in the acute period approaching 5% with seizure prophylaxis in historical clinical trials. Post-traumatic seizures (PTS) are divided into categories: immediate PTS occur prior
Externí odkaz:
https://doaj.org/article/01cc4bc3237d4554a586b2ff2af55b4d
We characterise the H\"older continuity of the convex minorant of most L\'evy processes. The proof is based on a novel connection between the path properties of the L\'evy process at zero and the boundedness of the set of $r$-slopes of the convex min
Externí odkaz:
http://arxiv.org/abs/2207.12433
We describe the rate of growth of the derivative $C'$ of the convex minorant of a L\'evy path at times where $C'$ increases continuously. Since the convex minorant is piecewise linear, $C'$ may exhibit such behaviour either at the vertex time $\tau_s
Externí odkaz:
http://arxiv.org/abs/2206.09928
Autor:
Mauricio G. Palma, Jorge Gonzalez, Martin Carrasco, Ruth Rubio-Noriega, Keren Bergman, Rodolfo Azevedo
Publikováno v:
IEEE Access, Vol 12, Pp 83057-83071 (2024)
Efficient data movement between nodes in a data center is essential for optimal performance of distributed workloads. With advancements in computing interconnection and memory, new opportunities have emerged. We propose a novel inter-node architectur
Externí odkaz:
https://doaj.org/article/bda37c344a324c609ad2386fe0f073a5
Autor:
Juan Miguel, Alemán-Iñiguez, Pedro José, Alemán Iñiguez, Rasha, Hassan Noreldeen, Jorge, Gonzalez Andrade
Publikováno v:
In World Neurosurgery June 2024 186:e161-e172
Autor:
Aurelio López-Fernández, Francisco A. Gómez-Vela, Jorge Gonzalez-Dominguez, Parameshachari Bidare-Divakarachari
Publikováno v:
SoftwareX, Vol 26, Iss , Pp 101666- (2024)
BioScience is an advanced Python library designed to satisfy the growing data analysis needs in the field of bioinformatics by leveraging High-Performance Computing (HPC). This library encompasses a vast multitude of functionalities, from loading spe
Externí odkaz:
https://doaj.org/article/09003b6308614628a782e786c4492361
Autor:
Jorge Gonzalez-Zuelgaray, Patricio I. Frangi, Damián A. Longo, Luisina B. Tosoni, Adrian Baranchuk
Publikováno v:
International Journal of Medical Students, Vol 12, Iss 1 (2024)
Background: Rapid correction of severe hyperkalemia is mandatory to survival due to its induction of fatal cardiac arrhythmias. The electrocardiogram serves as the diagnostic tool that can provide insight into such fatal arrhythmias. We present two r
Externí odkaz:
https://doaj.org/article/c25e79f93a2d49bda8219bdedc539559
Autor:
Natalya D. Shelchkova, John E. Downey, Charles M. Greenspon, Elizaveta V. Okorokova, Anton R. Sobinov, Ceci Verbaarschot, Qinpu He, Caleb Sponheim, Ariana F. Tortolani, Dalton D. Moore, Matthew T. Kaufman, Ray C. Lee, David Satzer, Jorge Gonzalez-Martinez, Peter C. Warnke, Lee E. Miller, Michael L. Boninger, Robert A. Gaunt, Jennifer L. Collinger, Nicholas G. Hatsopoulos, Sliman J. Bensmaia
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract The primary motor (M1) and somatosensory (S1) cortices play critical roles in motor control but the signaling between these structures is poorly understood. To fill this gap, we recorded – in three participants in an ongoing human clinical
Externí odkaz:
https://doaj.org/article/315382d1179645d4af2cb80aef00d14b
Publikováno v:
Stochastic Processes and their Applications 142 (2021) 407-431
We provide a simple algorithm for construction of Brownian paths approximating those of a L\'evy process on a finite time interval. It requires knowledge of the L\'evy process trajectory on a chosen regular grid and the law of its endpoint, or the ab
Externí odkaz:
http://arxiv.org/abs/2103.11475