6,333 research outputs found
Range corrections in Proton Halo Nuclei
We analyze the effects of finite-range corrections in halo effective field
theory for S-wave proton halo nuclei. We calculate the charge radius to
next-to-leading order and the astrophysical S-factor for low-energy proton
capture to fifth order in the low-energy expansion. As an application, we
confront our results with experimental data for the S-factor for proton capture
on Oxygen-16 into the excited state of Fluorine-17. Our low-energy
theory is characterized by a systematic low-energy expansion, which can be used
to quantify an energy-dependent model error to be utilized in data fitting.
Finally, we show that the existence of proton halos is suppressed by the need
for two fine tunings in the underlying theory.Comment: 30pages, 12 figure
Constraining Low-Energy Proton Capture on Beryllium-7 through Charge Radius Measurements
In this paper, we point out that a measurement of the charge radius of
Boron-8 provides indirect access to the S-factor for radiative proton capture
on Beryllium-7 at low energies. We use leading-order halo effective field
theory to explore this correlation and we give a relation between the charge
radius and the S-factor. Furthermore, we present important technical aspects
relevant to the renormalization of pointlike P-wave interactions in the
presence of a repulsive Coulomb interaction.Comment: Accepted for publication in European Physical Journal A. 29 pages, 9
figure
The sick ones.
This thesis consists of a collection of linked short stories, connected at the intersections of medicine, public health, race, gender, and socioeconomics. The Sick Ones was completed during a time of social unrest and the emergence of the Covid-19 virus. Inspired by medicine’s history of exploiting sick, poor, and racialized bodies, The Sick Ones explores the treatment of illness and societal woes in a near-speculative future. Each story is plot-driven, but complimented by a protagonist who keeps the narrative grounded, as they attempt to survive unprecedented circumstances. Some of the protagonists are complicit in their own medical exploitations, while others unwittingly participate as casualties of a flawed institution. And still for others, the goal is to hold tight to their personal autonomies, even if it means death for themselves, and possibly the ones they love
FullSWOF: A free software package for the simulation of shallow water flows
Numerical simulations of flows are required for numerous applications, and
are usually carried out using shallow water equations. We describe the FullSWOF
software which is based on up-to-date finite volume methods and well-balanced
schemes to solve this kind of equations. It consists of a set of open source
C++ codes, freely available to the community, easy to use, and open for further
development. Several features make FullSWOF particularly suitable for
applications in hydrology: small water heights and wet-dry transitions are
robustly handled, rainfall and infiltration are incorporated, and data from
grid-based digital topographies can be used directly. A detailed mathematical
description is given here, and the capabilities of FullSWOF are illustrated
based on analytic solutions and datasets of real cases. The codes, available in
1D and 2D versions, have been validated on a large set of benchmark cases,
which are available together with the download information and documentation at
http://www.univ-orleans.fr/mapmo/soft/FullSWOF/.Comment: 38 page
Is this Twitter event a disaster?
Ponencias, comunicaciones y pĂłsters presentados en el 17th AGILE Conference on Geographic Information Science
"Connecting a Digital Europe through Location and Place", celebrado en la Universitat Jaume I del 3 al 6 de junio de 2014.Social media services such as Twitter have become an important channel for reporting real-world events. For example, they can describe the current situation during a disaster. The decisions in crises management are based on detailed on-site information such as what is happening, where and when an event is happening, and who is involved. Thus, in real applications, monitoring the events over social media will enable to analyse the current overall situation. In this paper, the authors introduce a prototype for real-time Twitter-based natural disaster detection and monitoring. The detection approach is multilingual and calculates a statistical based probability for a potential disaster event. For an automatic geo-referencing of the disaster, the approach applies spatial gridding. On this basis the grid cells are subject to a spatial-thematic clustering which uses a method similar to region growing. The application’s output is an automatically generated email alert, containing specific information on the disaster
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Itaconate modulates tricarboxylic acid and redox metabolism to mitigate reperfusion injury.
ObjectivesCerebral ischemia/reperfusion (IR) drives oxidative stress and injurious metabolic processes that lead to redox imbalance, inflammation, and tissue damage. However, the key mediators of reperfusion injury remain unclear, and therefore, there is considerable interest in therapeutically targeting metabolism and the cellular response to oxidative stress.MethodsThe objective of this study was to investigate the molecular, metabolic, and physiological impact of itaconate treatment to mitigate reperfusion injuries in in vitro and in vivo model systems. We conducted metabolic flux and bioenergetic studies in response to exogenous itaconate treatment in cultures of primary rat cortical neurons and astrocytes. In addition, we administered itaconate to mouse models of cerebral reperfusion injury with ischemia or traumatic brain injury followed by hemorrhagic shock resuscitation. We quantitatively characterized the metabolite levels, neurological behavior, markers of redox stress, leukocyte adhesion, arterial blood flow, and arteriolar diameter in the brains of the treated/untreated mice.ResultsWe demonstrate that the "immunometabolite" itaconate slowed tricarboxylic acid (TCA) cycle metabolism and buffered redox imbalance via succinate dehydrogenase (SDH) inhibition and induction of anti-oxidative stress response in primary cultures of astrocytes and neurons. The addition of itaconate to reperfusion fluids after mouse cerebral IR injury increased glutathione levels and reduced reactive oxygen/nitrogen species (ROS/RNS) to improve neurological function. Plasma organic acids increased post-reperfusion injury, while administration of itaconate normalized these metabolites. In mouse cranial window models, itaconate significantly improved hemodynamics while reducing leukocyte adhesion. Further, itaconate supplementation increased survival in mice experiencing traumatic brain injury (TBI) and hemorrhagic shock.ConclusionsWe hypothesize that itaconate transiently inhibits SDH to gradually "awaken" mitochondrial function upon reperfusion that minimizes ROS and tissue damage. Collectively, our data indicate that itaconate acts as a mitochondrial regulator that controls redox metabolism to improve physiological outcomes associated with IR injury
Detecting the local transport properties and the dimensionality of transport of epitaxial graphene by a multi-point probe approach
The electronic transport properties of epitaxial monolayer graphene (MLG) and
hydrogen-intercalated quasi free-standing bilayer graphene (QFBLG) on SiC(0001)
are investigated by micro multi-point probes. Using a probe with 12 contacts,
we perform four-point probe measurements with the possibility to effectively
vary the contact spacing over more than one order of magnitude, allowing us to
establish that the transport is purely two-dimensional. Combined with the
carrier density obtained by angle-resolved photoemission spectroscopy, we find
the room temperature mobility of MLG to be (870+-120)cm2/Vs. The transport in
QFBLG is also found to be two-dimensional with a mobility of (1600+-160)
cm2/Vs
Variability of the endmembers in spectral unmixing: recent advances
International audienceEndmember variability has been identified as one of the main limitations of the usual Linear Mixing Model, conventionally used to perform spectral unmixing of hyperspectral data. The topic is currently receiving a lot of attention from the community, and many new algorithms have recently been developed to model this variability and take it into account. In this paper, we review state of the art methods dealing with this problem and classify them into three categories: the algorithms based on endmember bundles, the ones based on computational models, and the ones based on parametric physics-based models. We discuss the advantages and drawbacks of each category of methods and list some open problems and current challenges
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