Results 11 to 20 of about 842,080 (121)

Manejo del paciente con ventilación mecánica invasiva y no invasiva [PDF]

open access: yes, 2022
ilustraciones, gráficos, tablasEl propósito de la ventilación mecánica en un paciente independientemente sea invasiva o no invasiva es mejorar la ventilación, permitiendo un intercambio gaseoso (oxígeno y dióxido de carbono) colaborando con el trabajo ...
Mora Franco, Valentina
core   +1 more source

Jet energy scale and resolution measured in proton-proton collisions at $\sqrt{s}=13$ TeV with the ATLAS detector [PDF]

open access: yes, 2020
Jet energy scale and resolution measurements with their associated uncertainties are reported for jets using 36-81 fb$^{-1}$ of proton-proton collision data with a centre-of-mass energy of $\sqrt{s}=13$ TeV collected by the ATLAS detector at the LHC ...
A. Collaboration
semanticscholar   +1 more source

Binder jet 3D printing—Process parameters, materials, properties, modeling, and challenges

open access: yesProgress in Materials Science, 2020
As a non-beam-based additive manufacturing (AM) method, binder jet 3D printing (BJ3DP) is a process where a liquid binder is jetted on layers of powdered materials, selectively joined and then followed by densification process.
A. Mostafaei   +7 more
semanticscholar   +1 more source

Disruption prediction at JET through deep convolutional neural networks using spatiotemporal information from plasma profiles

open access: yesNuclear Fusion, 2022
In view of the future high power nuclear fusion experiments, the early identification of disruptions is a mandatory requirement, and presently the main goal is moving from the disruption mitigation to disruption avoidance and control.
Enrico Aymerich   +9 more
semanticscholar   +1 more source

Jet flavour classification using DeepJet [PDF]

open access: yesJournal of Instrumentation, 2020
Jet flavour classification is of paramount importance for a broad range of applications in modern-day high-energy-physics experiments, particularly at the LHC. In this paper we propose a novel architecture for this task that exploits modern deep learning
E. Bols   +4 more
semanticscholar   +1 more source

ParticleNet: Jet Tagging via Particle Clouds [PDF]

open access: yesPhysical Review D, 2019
How to represent a jet is at the core of machine learning on jet physics. Inspired by the notion of point clouds, we propose a new approach that considers a jet as an unordered set of its constituent particles, effectively a ``particle cloud.'' Such a ...
H. Qu, L. Gouskos
semanticscholar   +1 more source

Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV [PDF]

open access: yes, 2016
Improved jet energy scale corrections, based on a data sample corresponding to an integrated luminosity of 19.7 inverse-femtobarns collected by the CMS experiment in proton-proton collisions at a center-of-mass energy of 8 TeV, are presented.
A. Apyan   +38 more
semanticscholar   +1 more source

Jet substructure at the Large Hadron Collider: A review of recent advances in theory and machine learning [PDF]

open access: yesPhysics reports, 2017
Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC), where it has provided numerous innovative new ways to search for new physics and to probe the Standard Model in extreme regions of phase space.
A. Larkoski, I. Moult, B. Nachman
semanticscholar   +1 more source

Ventilación jet para la extracción de un cuerpo extraño endobronquial en un paciente con neumotórax drenado: informe de caso

open access: yes, 2017
Resumen Introduccion Aunque la aspiracion de cuerpos extranos es rara en adultos, requiere en algunas ocasiones la realizacion de una broncoscopia rigida para su extraccion.
J. Latorre   +5 more
semanticscholar   +1 more source

Superluminal motion of a relativistic jet in the neutron-star merger GW170817 [PDF]

open access: yesNature, 2018
The binary neutron-star merger GW1708171 was accompanied by radiation across the electromagnetic spectrum2 and localized2 to the galaxy NGC 4993 at a distance3 of about 41 megaparsecs from Earth.
K. Mooley   +9 more
semanticscholar   +1 more source

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