1,074 research outputs found
A measurement of the Hubble constant using galaxy redshift surveys
We perform a measurement of the Hubble constant, , using the latest
baryonic acoustic oscillations (BAO) measurements from galaxy surveys of 6dFGS,
SDSS DR7 Main Galaxy Sample, BOSS DR12 sample, and eBOSS DR14 quasar sample, in
the framework of a flat CDM model. Based on the Kullback-Leibler (KL)
divergence, we examine the consistency of values derived from various
data sets. We find that our measurement is consistent with that derived from
Planck and with the local measurement of using the Cepheids and type Ia
supernovae. We perform forecasts on from future BAO measurements, and
find that the uncertainty of determined by future BAO data alone,
including complete eBOSS, DESI and Euclid-like, is comparable with that from
local measurements.Comment: 5 pages, 2 figures, 2 tables; accepted for publication in Ap
Post- constraints on interacting vacuum energy
We present improved constraints on an interacting vacuum model using updated
astronomical observations including the first data release from Planck. We
consider a model with one dimensionless parameter, , describing the
interaction between dark matter and vacuum energy (with fixed equation of state
). The background dynamics correspond to a generalised Chaplygin gas
cosmology, but the perturbations have a zero sound speed. The tension between
the value of the Hubble constant, , determined by Planck data plus WMAP
polarisation (Planck+WP) and that determined by the Hubble Space Telescope
(HST) can be alleviated by energy transfer from dark matter to vacuum
(). A positive increases the allowed values of due to
parameter degeneracy within the model using only CMB data. Combining with
additional datasets of including supernova type Ia (SN Ia) and baryon acoustic
oscillation (BAO), we can significantly tighten the bounds on .
Redshift-space distortions (RSD), which constrain the linear growth of
structure, provide the tightest constraints on vacuum interaction when combined
with Planck+WP, and prefer energy transfer from vacuum to dark matter
() which suppresses the growth of structure. Using the combined
datasets of Planck+WP+Union2.1+BAO+RSD, we obtain the constraint on to
be (95% C.L.), allowing low consistent with the
measurement from 6dF Galaxy survey. This interacting vacuum model can alleviate
the tension between RSD and Planck+WP in the CDM model for ,
or between HST measurements of and Planck+WP for , but not both
at the same time.Comment: 15 pages, 12 figures, 3 tables; accepted for publication in Phys.
Rev.
An Overview of Theoretical Researches on Science Communication and Popularization in China
This paper discusses the development of theoretical researches on Science Communication and Popularization (SCP) in China. The article claims that the research on SCP is continuously expanding. The theoretical research looks into interdisciplinary communication and integration, the disseminators and audiences, new media and modes of SCP. The paper concludes that theoretical research becomes further systematic adapting to social development and technological progress of China
Detection of selection signatures in dairy and beef cattle using high-density genomic information
peer-reviewedBackground
Artificial selection for economically important traits in cattle is expected to have left distinctive selection signatures on the genome. Access to high-density genotypes facilitates the accurate identification of genomic regions that have undergone positive selection. These findings help to better elucidate the mechanisms of selection and to identify candidate genes of interest to breeding programs.
Results
Information on 705 243 autosomal single nucleotide polymorphisms (SNPs) in 3122 dairy and beef male animals from seven cattle breeds (Angus, Belgian Blue, Charolais, Hereford, Holstein-Friesian, Limousin and Simmental) were used to detect selection signatures by applying two complementary methods, integrated haplotype score (iHS) and global fixation index (FST). To control for false positive results, we used false discovery rate (FDR) adjustment to calculate adjusted iHS within each breed and the genome-wide significance level was about 0.003. Using the iHS method, 83, 92, 91, 101, 85, 101 and 86 significant genomic regions were detected for Angus, Belgian Blue, Charolais, Hereford, Holstein-Friesian, Limousin and Simmental cattle, respectively. None of these regions was common to all seven breeds. Using the FST approach, 704 individual SNPs were detected across breeds. Annotation of the regions of the genome that showed selection signatures revealed several interesting candidate genes i.e. DGAT1, ABCG2, MSTN, CAPN3, FABP3, CHCHD7, PLAG1, JAZF1, PRKG2, ACTC1, TBC1D1, GHR, BMP2, TSG1, LYN, KIT and MC1R that play a role in milk production, reproduction, body size, muscle formation or coat color. Fifty-seven common candidate genes were found by both the iHS and global FST methods across the seven breeds. Moreover, many novel genomic regions and genes were detected within the regions that showed selection signatures; for some candidate genes, signatures of positive selection exist in the human genome. Multilevel bioinformatic analyses of the detected candidate genes suggested that the PPAR pathway may have been subjected to positive selection.
Conclusions
This study provides a high-resolution bovine genomic map of positive selection signatures that are either specific to one breed or common to a subset of the seven breeds analyzed. Our results will contribute to the detection of functional candidate genes that have undergone positive selection in future studies.This study was financially supported by a grant from the Irish Department of Agriculture, Food and Marine Research Stimulus Fund (11/S/112), the Agricultural Science and Technology Innovation Program (No. ASTIP-IAS-TS-6) and the Natural Science Foundation of China (No. 31200927)
Exact results of the limited penetrable horizontal visibility graph associated to random time series and its application
The limited penetrable horizontal visibility algorithm is a new time analysis
tool and is a further development of the horizontal visibility algorithm. We
present some exact results on the topological properties of the limited
penetrable horizontal visibility graph associated with random series. We show
that the random series maps on a limited penetrable horizontal visibility graph
with exponential degree distribution ,
independent of the probability distribution from which the series was
generated. We deduce the exact expressions of the mean degree and the
clustering coefficient and demonstrate the long distance visibility property.
Numerical simulations confirm the accuracy of our theoretical results. We then
examine several deterministic chaotic series (a logistic map, the
Hnon map, the Lorentz system, and an energy price chaotic system)
and a real crude oil price series to test our results. The empirical results
show that the limited penetrable horizontal visibility algorithm is direct, has
a low computational cost when discriminating chaos from uncorrelated
randomness, and is able to measure the global evolution characteristics of the
real time series.Comment: 23 pages, 12 figure
Water Mass Transformations in the Southern Ocean Diagnosed from Observations: Contrasting Effects of Air-Sea Fluxes and Diapycnal Mixing
Abstract
Transformation and formation rates of water masses in the Southern Ocean are estimated in a neutral-surface framework using air–sea fluxes of heat and freshwater together with in situ estimates of diapycnal mixing. The air–sea fluxes are taken from two different climatologies and a reanalysis dataset, while the diapycnal mixing is estimated from a mixing parameterization applied to five years of Argo float data. Air–sea fluxes lead to a large transformation directed toward lighter waters, typically from −45 to −63 Sv (1 Sv ≡ 106 m3 s−1) centered at γ = 27.2, while interior diapycnal mixing leads to two weaker peaks in transformation, directed toward denser waters, 8 Sv centered at γ = 27.8, and directed toward lighter waters, −16 Sv centered at γ = 28.3. Hence, air–sea fluxes and interior diapycnal mixing are important in transforming different water masses within the Southern Ocean. The transformation of dense to lighter waters by diapycnal mixing within the Southern Ocean is slightly larger, though comparable in magnitude, to the transformation of lighter to dense waters by air–sea fluxes in the North Atlantic. However, there are significant uncertainties in the authors' estimates with errors of at least ±5 W m−2 in air–sea fluxes, a factor 4 uncertainty in diapycnal mixing and limited coverage of air–sea fluxes in the high latitudes and Argo data in the Pacific. These water mass transformations partly relate to the circulation in density space: air–sea fluxes provide a general lightening along the core of the Antarctic Circumpolar Current and diapycnal diffusivity is enhanced at middepths along the current.</jats:p
CMB Temperature and Matter Power Spectrum in a Decay Vacuum Dark Energy Model
In this paper, a decay vacuum model
is revisited by detailed analysis of background evolution and perturbation
equations. We show the imprints on CMB temperature and matter power spectrum
from the effective coupling terms between dark sectors by comparing to the
standard cosmological constant model and observational data points (WMAP7 and
SDSS DR7). We find that the decay vacuum model can describe the expansion rate
at late times as well as the standard cosmological constant model but it fails
to simultaneously reproduce the observed CMB and matter power spectrum. Its
generalization is also
discussed. Detailed analysis of the background evolution shows that the
dimensionless parameter would be zero to avoid the unnatural 'fine
tuning' and to keep the positivity of energy density of dark matter and dark
energy in the early epoch
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