Results 21 to 30 of about 2,305 (215)

Observations of X-ray Burst Sources [PDF]

open access: yesSymposium - International Astronomical Union, 1987
Recent observational results on X-ray bursts and burst sources are reviewed. Two distinct types of bursts, Type I and Type II bursts, are discussed in relation to the mass and radius of neutron stars and to the problems of unusual mass accretion in some burst sources.
openaire   +1 more source

A Model for Bursting X-Ray Sources [PDF]

open access: yesHighlights of Astronomy, 1977
A model given by Henriksen and Chia (1972) for short duty cycle X-ray flare sources has been extended by Henriksen (1976), and applied to the recently discovered X-ray bursters. We use their notation here unless otherwise indicated. The model envisages a rapidly rotating magnetic white dwarf or neutron star located in a dense stream or cloud of gas ...
openaire   +1 more source

The evolution of X-ray bursts in the ‘Bursting Pulsar’ GRO J1744–28 [PDF]

open access: yesMonthly Notices of the Royal Astronomical Society, 2018
Accepted to MNRAS Aug 17 ...
J M C Court   +10 more
openaire   +5 more sources

Solar hard X-ray bursts [PDF]

open access: yesSolar Physics, 1985
The major results from SMM are presented as they relate to our understanding of the energy release and particle transportation processes that lead to the high-energy X-ray aspects of solar flares. Evidence is reviewed for a 152–158 day periodicity in various aspects of solar activity including the rate of occurrence of hard X-ray and gamma-ray flares ...
openaire   +1 more source

X-Ray Bursting Neutron Stars [PDF]

open access: yesSymposium - International Astronomical Union, 1987
The maximum peak luminosity of the X-ray bursts from a burster is most likely interpreted as the Eddington luminosity of a helium-rich envelope surrounding a neutron star. If this interpretation is true, we can obtain a relation between the mass and the radius of the neutron star in terms of the maximum effective temperature of bursts.
openaire   +1 more source

MAXI observations of long X-ray bursts [PDF]

open access: yesPublications of the Astronomical Society of Japan, 2016
Abstract We report nine long X-ray bursts from neutron stars, detected with the Monitor of All-sky X-ray Image (MAXI). Some of these bursts lasted for hours, and hence are qualified as superbursts, which are prolonged thermonuclear flashes on neutron stars and are relatively rare events.
Serino, Motoko   +7 more
openaire   +2 more sources

Spectra of the Expansion Stage of X‐Ray Bursts [PDF]

open access: yesThe Astrophysical Journal, 2002
31 pages, 4 figures, accepted by the Astrophysical ...
Shaposhnikov, Nickolai, Titarchuk, Lev
openaire   +2 more sources

Selective elimination of quiescent cancer cells by dequalinium chloride via ROS‐mediated ferroptosis

open access: yesFEBS Open Bio, EarlyView.
Dequalinium chloride (DQ) selectively eliminates quiescent cancer cells (QCCs) by amplifying mitochondrial ROS. QCCs exhibit elevated basal ROS and limited redox‐buffering capacity, making them vulnerable to further ROS increases. DQ‐induced ROS exceeds the tolerance threshold, triggering lipid peroxidation and ferroptosis, whereas proliferating cells ...
Kotaro Miyamoto   +14 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

open access: yesAdvanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani   +7 more
wiley   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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