308 research outputs found
Oxygen Gas Phase Abundance Revisited
We present new measurements of the interstellar gas-phase oxygen abundance
along the sight lines towards 19 early-type galactic stars at an average
distance of 2.6 kpc. We derive O {\small I} column densities from {\it
HST}/STIS observations of the weak 1355 \AA intersystem transition. We derive
total hydrogen column densities [N(H {\small I})+2N(H)] using {\it
HST}/STIS observations of \lya and {\it FUSE} observations of molecular
hydrogen. The molecular hydrogen content of these sight lines ranges from
f(H) = 2N(H)/[N(H {\small I})+2N(H)] = 0.03 to 0.47. The average
of 6.3 cm mag with a standard
deviation of 15% is consistent with previous surveys. The mean oxygen abundance
along these sight lines, which probe a wide range of galactic environments in
the distant ISM, is 10 \oh = (1 in the mean). %(1 ). We see no evidence for decreasing
gas-phase oxygen abundance with increasing molecular hydrogen fraction and the
relative constancy of \oh suggests that the component of dust containing the
oxygen is not readily destroyed. We estimate that, if 60% of the dust grains
are resilient against destruction by shocks, the distant interstellar total
oxygen abundance can be reconciliated with the solar value derived from the
most recent measurements %by Holweger and by Allende Prieto, Lambert & Asplund:
of 10 \oh = 517 58 (1 ). We note that the smaller
oxygen abundances derived for the interstellar gas within 500 pc %by Meyer,
Cardelli & Jura or from nearby B star surveys are consistent with a local
elemental deficit.Comment: 9 figures, 37 page
Discovery of pulsations in the Am star HD 13079
Pulsation in cool main-sequence Am stars is a rare phenomenon observed in a few marginal Am stars and only one classical Am star. The chemically peculiar star HD 13079 is shown to be pulsating with a 78-min period and a peak-to-peak B amplitude of 0.02 mag. The Hipparcos parallax, uvbyβ photometry and pulsations together suggest that HD 13079 is an Am star near the zero-age main sequence, and that it is a fundamental-mode pulsator on the red edge of the instability strip
Collaboration in sensor network research: an in-depth longitudinal analysis of assortative mixing patterns
Many investigations of scientific collaboration are based on statistical
analyses of large networks constructed from bibliographic repositories. These
investigations often rely on a wealth of bibliographic data, but very little or
no other information about the individuals in the network, and thus, fail to
illustrate the broader social and academic landscape in which collaboration
takes place. In this article, we perform an in-depth longitudinal analysis of a
relatively small network of scientific collaboration (N = 291) constructed from
the bibliographic record of a research center involved in the development and
application of sensor network and wireless technologies. We perform a
preliminary analysis of selected structural properties of the network,
computing its range, configuration and topology. We then support our
preliminary statistical analysis with an in-depth temporal investigation of the
assortative mixing of selected node characteristics, unveiling the researchers'
propensity to collaborate preferentially with others with a similar academic
profile. Our qualitative analysis of mixing patterns offers clues as to the
nature of the scientific community being modeled in relation to its
organizational, disciplinary, institutional, and international arrangements of
collaboration.Comment: Scientometrics (In press
H long term monitoring of the Be star Cep Aa
Recent papers published in the last years contributed to resolve the enigma
on the hypothetical Be nature of the hot pulsating star Cep. This star
shows variable emission in the H line, typical for Be stars, but its
projected rotational velocity is very much lower than the critical limit,
contrary to what is expected for a typical Be star. The emission has been
attributed to the secondary component of the Cep spectroscopic binary
system.
In this paper, using both ours and archived spectra, we attempted to recover
the H profile of the secondary component and to analyze its behavior
with time for a long period. To accomplish this task, we first derived the
atmospheric parameters of the primary: T = 24000 250 K and
= 3.91 0.10, then we used these values to compute its synthetic
H profile and finally we reconstructed the secondary's profile
disentangling the observed one.
The secondary's H profile shows the typical two peaks emission of a
Be star with a strong variability. We analyzed also the behavior versus time of
some line width parameters: equivalent width, V/R, FWHM, peaks separation and
radial velocity of the central depression.
Projected rotational velocity () of the secondary and the dimension
of the equatorial surrounding disk have been estimated, too.Comment: 9 pages, 6 figures, 2 tables, accepted for publication in MNRA
Effects of fear factors in disease propagation
Upon an outbreak of a dangerous infectious disease, people generally tend to
reduce their contacts with others in fear of getting infected. Such typical
actions apparently help slow down the spreading of infection. Thanks to today's
broad public media coverage, the fear factor may even contribute to prevent an
outbreak from happening. We are motivated to study such effects by adopting a
complex network approach. Firstly we evaluate the simple case where connections
between individuals are randomly removed due to fear factor. Then we consider a
different case where each individual keeps at least a few connections after
contact reduction. Such a case is arguably more realistic since people may
choose to keep a few social contacts, e.g., with their family members and
closest friends, at any cost. Finally a study is conducted on the case where
connection removals are carried out dynamically while the infection is
spreading out. Analytical and simulation results show that the fear factor may
not easily prevent an epidemic outbreak from happening in scale-free networks.
However, it significantly reduces the fraction of the nodes ever getting
infected during the outbreak.Comment: 19 pages, 10 figure
Hyperactivation of monocytes and macrophages in MCI patients contributes to the progression of Alzheimer's disease
Background: Alzheimer’s disease (AD) is the most common neurodegenerative disease ultimately manifesting as clinical dementia. Despite considerable effort and ample experimental data, the role of neuroinflammation related to systemic inflammation is still unsettled. While the implication of microglia is well recognized, the exact contribution of peripheral monocytes/macrophages is still largely unknown, especially concerning their role in the various stages of AD. Objectives: AD develops over decades and its clinical manifestation is preceded by subjective memory complaints (SMC) and mild cognitive impairment (MCI); thus, the question arises how the peripheral innate immune response changes with the progression of the disease. Therefore, to further investigate the roles of monocytes/macrophages in the progression of AD we assessed their phenotypes and functions in patients at SMC, MCI and AD stages and compared them with cognitively healthy controls. We also conceptualised an idealised mathematical model to explain the functionality of monocytes/macrophages along the progression of the disease. Results: We show that there are distinct phenotypic and functional changes in monocyte and macrophage populations as the disease progresses. Higher free radical production upon stimulation could already be observed for the monocytes of SMC patients. The most striking results show that activation of peripheral monocytes (hyperactivation) is the strongest in the MCI group, at the prodromal stage of the disease. Monocytes exhibit significantly increased chemotaxis, free radical production, and cytokine production in response to TLR2 and TLR4 stimulation. Conclusion: Our data suggest that the peripheral innate immune system is activated during the progression from SMC through MCI to AD, with the highest levels of activation being in MCI subjects and the lowest in AD patients. Some of these parameters may be used as biomarkers, but more holistic immune studies are needed to find the best period of the disease for clinical intervention
Lamost observations in the kepler field. I. Database of low-resolution spectra*
The nearly continuous light curves with micromagnitude precision provided by the space mission Kepler are revolutionizing our view of pulsating stars. They have revealed a vast sea of low-amplitude pulsation modes that were undetectable from Earth. The long time base of Kepler light curves allows for the accurate determination of the frequencies and amplitudes of pulsation modes needed for in-depth asteroseismic modeling. However, for an asteroseismic study to be successful, the first estimates of stellar parameters need to be known and they cannot be derived from the Kepler photometry itself. The Kepler Input Catalog provides values for the effective temperature, surface gravity, and metallicity, but not always with sufficient accuracy. Moreover, information on the chemical composition and rotation rate is lacking. We are collecting low-resolution spectra for objects in the Kepler field of view with the Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST, Xinglong observatory, China). All of the requested fields have now been observed at least once. In this paper, we describe those observations and provide a useful database for the whole astronomical communit
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