720 research outputs found
Empirical metallicity-dependent calibrations of effective temperature against colours for dwarfs and giants based on interferometric data
We present empirical metallicity-dependent calibrations of effective
temperature against colours for dwarfs of luminosity classes IV and V and for
giants of luminosity classes II and III, based on a collection from the
literature of about two hundred nearby stars with direct effective temperature
measurements of better than 2.5 per cent. The calibrations are valid for an
effective temperature range 3,100 - 10,000 K for dwarfs of spectral types M5 to
A0 and 3,100 - 5,700 K for giants of spectral types K5 to G5. A total of
twenty-one colours for dwarfs and eighteen colours for giants of bands of four
photometric systems, i.e. the Johnson (), the Cousins
(), the Sloan Digital Sky Survey (SDSS, ) and the Two
Micron All Sky Survey (2MASS, ), have been calibrated. Restricted
by the metallicity range of the current sample, the calibrations are mainly
applicable for disk stars ([Fe/H]). The normalized percentage
residuals of the calibrations are typically 2.0 and 1.5 per cent for dwarfs and
giants, respectively. Some systematic discrepancies at various levels are found
between the current scales and those available in the literature (e.g. those
based on the infrared flux method IRFM or spectroscopy). Based on the current
calibrations, we have re-determined the colours of the Sun. We have also
investigated the systematic errors in effective temperatures yielded by the
current on-going large scale low- to intermediate-resolution stellar
spectroscopic surveys. We show that the calibration of colour ()
presented in the current work provides an invaluable tool for the estimation of
stellar effective temperature for those on-going or upcoming surveys.Comment: 28 pages, 19 figures, 8 tables, accepted for publication in MNRA
contribution in at small
Two-photon annihilate contributions in the process including and intermediate are discussed in a simple
hadronic model. The corrections to the unpolarized cross section and polarized
observables are presented. The results show the two-photon annihilate
correction to unpolarized cross section is small and its angle dependence
becomes weak at small after considering the and
contributions simultaneously, while the correction to is enhanced.Comment: 5 page
Recent advances and current issues in single-cell sequencing of tumors
AbstractIntratumoral heterogeneity is a recently recognized but important feature of cancer that underlies the various biocharacteristics of cancer tissues. The advent of next-generation sequencing technologies has facilitated large scale capture of genomic data, while the recent development of single-cell sequencing has allowed for more in-depth studies into the complex molecular mechanisms of intratumoral heterogeneity. In this review, the recent advances and current challenges in single-cell sequencing methodologies are discussed, highlighting the potential power of these data to provide insights into oncological processes, from tumorigenesis through progression to metastasis and therapy resistance
Identifying effective multiple spreaders by coloring complex networks
How to identify influential nodes in social networks is of theoretical
significance, which relates to how to prevent epidemic spreading or cascading
failure, how to accelerate information diffusion, and so on. In this Letter, we
make an attempt to find \emph{effective multiple spreaders} in complex networks
by generalizing the idea of the coloring problem in graph theory to complex
networks. In our method, each node in a network is colored by one kind of color
and nodes with the same color are sorted into an independent set. Then, for a
given centrality index, the nodes with the highest centrality in an independent
set are chosen as multiple spreaders. Comparing this approach with the
traditional method, in which nodes with the highest centrality from the
\emph{entire} network perspective are chosen, we find that our method is more
effective in accelerating the spreading process and maximizing the spreading
coverage than the traditional method, no matter in network models or in real
social networks. Meanwhile, the low computational complexity of the coloring
algorithm guarantees the potential applications of our method.Comment: 6 pages, 6 figure
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