885 research outputs found
The radial structure of protostellar accretion disks: influence of jets
The radial structure of accretion disks is a fundamental issue regarding star
and planet formation. Many theoretical studies, focussing on different aspects
such as e.g. disk emissivity or ionization, have been conducted in the context
of the Standard Accretion Disk (SAD) model, where no jet is present. We wish to
calculate the structure of YSO accretion disks in an approach that takes into
account the presence of the protostellar jets. The radial structure of these
Jet Emitting Disks (JED) should then be compared to that of standard accretion
disks. The analytical treatment used in this work is very similar to that of
standard accretion disks but is using the parameter space of Magnetised
Accretion-Ejection Structures that include the jet torque on the underlying
disk. In this framework, the analytical expressions of key quantities, such as
mid-plane temperatures, surface densities or disk aspect ratio are derived. It
is found that JEDs present a structure very different from the SADs and that
can be observationally tested. The implications on planet formation in the
inner regions of accretion disks are briefly discussed. We also supply sets of
analytical formulae, valid in different opacity regimes, for the disk
quantities. These expressions can be readily used for any work where the disk
structure is needed as an input for the model.Comment: 11 pages, 4 figures. Accepted for publication in A&
Transport of exotic anti-nuclei: I- Fast formulae for antiproton fluxes
The Galactic secondary cosmic ray anti-proton flux calculated with different
propagation models is fairly consistent with data, and the associated
propagation uncertainty is small. This is not the case for any anti-proton
exotic component of the dark matter halo. Detailed propagation models are
mandatory if the ultimate goal is to explain an excess. However, simpler and
faster approximate formulae for anti-protons are an attractive alternative to
quickly check that a given dark matter model is not inconsistent with the
anti-proton observed flux. This paper provides such formulae. In addition, they
could be used to put constraints on new physics in this channel, where an
extensive scan of a large parameter space could otherwise be quite expensive in
computer ressources.Comment: 8 pages, 3 figures (submitted). Stand-alone code for exotic
anti-proton propagation can be downloaded at
http://wwwlapp.in2p3.fr/~taillet/mtc/mtc_code.tar . Paper re-organized
(results unchanged
CLUMPY: a code for gamma-ray signals from dark matter structures
We present the first public code for semi-analytical calculation of the
gamma-ray flux astrophysical J-factor from dark matter annihilation/decay in
the Galaxy, including dark matter substructures. The core of the code is the
calculation of the line of sight integral of the dark matter density squared
(for annihilations) or density (for decaying dark matter). The code can be used
in three modes: i) to draw skymaps from the Galactic smooth component and/or
the substructure contributions, ii) to calculate the flux from a specific halo
(that is not the Galactic halo, e.g. dwarf spheroidal galaxies) or iii) to
perform simple statistical operations from a list of allowed DM profiles for a
given object. Extragalactic contributions and other tracers of DM annihilation
(e.g. positrons, antiprotons) will be included in a second release.Comment: 15 pages, 7 figures, published in CPC. The CLUMPY code and its
documentation can be found at http://lpsc.in2p3.fr/clump
Spherical Jeans analysis for dark matter indirect detection in dwarf spheroidal galaxies - Impact of physical parameters and triaxiality
Dwarf spheroidal (dSph) galaxies are among the most promising targets for the
indirect detection of dark matter (DM) from annihilation and/or decay products.
Empirical estimates of their DM content - and hence the magnitudes of expected
signals - rely on inferences from stellar-kinematic data. However, various
kinematic analyses can give different results and it is not obvious which are
most reliable. Using extensive sets of mock data of various sizes (mimicking
'ultra-faint' and 'classical' dSphs) and an MCMC engine, here we investigate
biases, uncertainties, and limitations of analyses based on parametric
solutions to the spherical Jeans equation. For a variety of functional forms
for the tracer and DM density profiles, as well as the orbital anisotropy
profile, we examine reliability of estimates for the astrophysical J- and
D-factors for annihilation and decay, respectively. For large (N > 1000)
stellar-kinematic samples typical of 'classical' dSphs, errors tend to be
dominated by systematics, which can be reduced through the use of sufficiently
general and flexible functional forms. For small (N < 100) samples typical of
'ultrafaints', statistical uncertainties tend to dominate systematic errors and
flexible models are less necessary. We define an optimal strategy that would
mitigate sensitivity to priors and other aspects of analyses based on the
spherical Jeans equation. We also find that the assumption of spherical
symmetry can bias estimates of J (with the 95% credibility intervals not
encompassing the true J-factor) when the object is mildly triaxial (axis ratios
b/a = 0.8, c/a = 0.6). A concluding table summarises the typical error budget
and biases for the different sample sizes considered.Comment: 21 pages, 20 figures. Minor changes (several clarifications): match
the MNRAS accepted versio
The role of dietary polyphenols in the moderation of the inflammatory response in early stage colorectal cancer
Current focus in colorectal cancer management is on reducing overall mortality by increasing the number of early stage cancers diagnosed and treated with curative intent. Despite the success of screening programmes in down-staging colorectal cancer, interval cancer rates are substantial and other strategies are desirable. Sporadic colorectal cancer is largely associated with lifestyle factors including diet. Polyphenols are phytochemicals ingested as part of a normal diet which are abundant in plant foods including fruits/berries and vegetables. These may exert their anti-carcinogenic effects via the modulation of inflammatory pathways. Key signal transduction pathways are fundamental to the association of inflammation and disease progression including those mediated by NF-κB and STAT, PI3K and COX. Our aim was to examine the evidence for the effect of dietary polyphenols intake on tumour and host inflammatory responses to determine if polyphenols may be effective as part of a dietary intervention. There is good epidemiological evidence of a reduction in colorectal cancer risk from case-control and cohort studies assessing polyphenol intake. It would be premature to suggest a major public health intervention to promote their consumption however, dietary change is safe and feasible, emphasising the need for further investigation of polyphenols and colorectal cancer risk
Decaying dark matter: a stacking analysis of galaxy clusters to improve on current limits
We show that a stacking approach to galaxy clusters can improve current
limits on decaying dark matter by a factor , with respect to a
single source analysis, for all-sky instruments such as Fermi-LAT. Based on the
largest sample of X-ray-selected galaxy clusters available to date (the MCXC
meta-catalogue), we provide all the astrophysical information, in particular
the astrophysical term for decaying dark matter, required to perform an
analysis with current instruments.Comment: 6 pages, 3 figures, supplementary file available on demand, accepted
for publication in PR
Long-chain n-3 fatty acids as an essential link between musculoskeletal and cardio-metabolic health in older adults
This narrative review aims to critically evaluate scientific evidence exploring the therapeutic role(s) of long-chain n-3 PUFA in the context of ageing, and specifically, sarcopenia. We highlight that beyond impairments in physical function and a lack of independence, the age-related decline in muscle mass has ramifications for cardio-metabolic health. Specifically, skeletal muscle is crucial in regulating blood glucose homeostasis (and by extension reducing type 2 diabetes mellitus risk) and providing gluconeogenic precursors that are critical for survival during muscle wasting conditions (i.e. AIDS). Recent interest in the potential anabolic action of n-3 PUFA is based on findings from experimental studies that measured acute changes in the stimulation of muscle protein synthesis (MPS) and/or chronic changes in muscle mass and strength in response to fish oil-derived n-3 PUFA supplementation. Key findings include a potentiated response of MPS to amino acid provision or resistance-based exercise with n-3 PUFA in healthy older adults that extrapolated to longer-term changes in muscle mass and strength. The key mechanism(s) underpinning this enhanced response of MPS remains to be fully elucidated, but is likely driven by the incorporation of exogenous n-3 PUFA into the muscle phospholipid membrane and subsequent up-regulation of cell signalling proteins known to control MPS. In conclusion, multiple lines of evidence suggest that dietary n-3 PUFA provide an essential link between musculoskeletal and cardio-metabolic health in older adults. Given that western diets are typically meagre in n-3 PUFA content, nutritional recommendations for maintaining muscle health with advancing age should place greater emphasis on dietary n-3 PUFA intake
BYKdb: the Bacterial protein tYrosine Kinase database
Bacterial tyrosine-kinases share no resemblance with their eukaryotic counterparts and they have been unified in a new protein family named BY-kinases. These enzymes have been shown to control several biological functions in the bacterial cells. In recent years biochemical studies, sequence analyses and structure resolutions allowed the deciphering of a common signature. However, BY-kinase sequence annotations in primary databases remain incomplete. This prompted us to develop a specialized database of computer-annotated BY-kinase sequences: the Bacterial protein tyrosine-kinase database (BYKdb). BY-kinase sequences are first identified, thanks to a workflow developed in a previous work. A second workflow annotates the UniProtKB entries in order to provide the BYKdb entries. The database can be accessed through a web interface that allows static and dynamic queries and offers integrated sequence analysis tools. BYKdb can be found at http://bykdb.ibcp.fr
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