2,330 research outputs found
GMRT Low Frequency Observations of Extrasolar Planetary Systems
Extrasolar planets are expected to emit detectable low frequency radio
emission. In this paper we present results from new low frequency observations
of two extrasolar planetary systems (Epsilon Eridani and HD 128311) taken at
150 MHz with the Giant Metrewave Radio Telescope (GMRT). These two systems have
been chosen because the stars are young (with ages < 1 Gyr) and are likely to
have strong stellar winds, which will increase the expected radio flux. The
planets are massive (presumably) gas giant planets in longer period orbits, and
hence will not be tidally locked to their host star (as is likely to be the
case for short period planets) and we would expect them to have a strong
planetary dynamo and magnetic field. We do not detect either system, but are
able to place tight upper limits on their low frequency radio emission, at
levels comparable to the theoretical predictions for these systems. From these
observations we have a 2.5sigma limit of 7.8 mJy for Epsilon Eri and 15.5 mJy
for HD 128311. In addition, these upper limits also provide limits on the low
frequency radio emission from the stars themselves. These results are discussed
and also the prospects for the future detection of radio emission from
extrasolar planets.Comment: 6 pages, 2 figures, accepted for publication in MNRA
Are We There Yet? Data Saturation in Qualitative Research
Failure to reach data saturation has an impact on the quality of the research conducted and hampers content validity. The aim of a study should include what determines when data saturation is achieved, for a small study will reach saturation more rapidly than a larger study. Data saturation is reached when there is enough information to replicate the study when the ability to obtain additional new information has been attained, and when further coding is no longer feasible. The following article critiques two qualitative studies for data saturation: Wolcott (2004) and Landau and Drori (2008). Failure to reach data saturation has a negative impact on the validity on oneâs research. The intended audience is novice student researchers
Many Body Effects on the Transport Properties of Single-Molecule Devices
The conductance through a molecular device including electron-electron and
electron-phonon interactions is calculated using the Numerical Renormalization
Group method. At low temperatures and weak electron-phonon coupling the
properties of the conductance can be explained in terms of the standard Kondo
model with renormalized parameters. At large electron-phonon coupling a charge
analog of the Kondo effect takes place that can be mapped into an anisotropic
Kondo model. In this regime the molecule is strongly polarized by a gate
voltage which leads to rectification in the current-voltage characteristics of
the molecular junction.Comment: 4 pages, 4 figures, minor changes, added reference
Are We There Yet? Data Saturation in Qualitative Research
Failure to reach data saturation has an impact on the quality of the research conducted and hampers content validity. The aim of a study should include what determines when data saturation is achieved, for a small study will reach saturation more rapidly than a larger study. Data saturation is reached when there is enough information to replicate the study when the ability to obtain additional new information has been attained, and when further coding is no longer feasible. The following article critiques two qualitative studies for data saturation: Wolcott (2004) and Landau and Drori (2008). Failure to reach data saturation has a negative impact on the validity on oneâs research. The intended audience is novice student researcher
âThis Life is Normal for Meâ : A Study of Everyday Life Experiences and Coping Strategies of Live-in Carers in Taiwan
Recruiting migrant live-in carers has become the main strategy to address the rapid increase in the number of older persons with intensive care needs in many parts of the developed world. This is also the case in northern Taiwan, where this study took place. Thirteen live-in carers from Indonesia and the Philippines were interviewed in the fall of 2019. In this article, we discuss their two main coping strategies: a) âaccepting destinyâ, which refers to carers accepting their life and viewing their role as a live-in carer as a job that allowed them to meet their parentsâ expectations of financial support; and b) âconnecting to significant othersâ, which is the most important way carers found motivation to keep going. However, despite their coping strategies, working as a live-in carer was experienced as a challenging and precarious lifestyle. In the conclusion, we discuss how professional social workers in collaboration with decision-makers and non-governmental organizations in Taiwan could contribute to fostering a system that would support live-in carers in ways that allow them, and the older persons they care for, to thrive.Peer reviewe
We are All Interdependent : A Study of Relationships Between Migrant Live-In Carers and Employers in Taiwan
For the past three decades, to meet the increasing need for long-term care, the Taiwanese governmentâs primary approach has been to import migrant care workers. In this article, we analyse qualitative interview data produced in an Indigenous community. Drawing on Kittayâs feminist dependency theory, we explore the interrelationships and collaborative efforts between live-in carers and their employers. Three types of relationships were identified: âunsupportive relationshipsâ, where the live-in carer was treated as a servant; âsupportive relationshipsâ, where the live-in carer was treated as a care worker; and âsemi-supportive relationshipsâ, where the live-in carer was treated as a carer-servant. In conclusion, the article sheds light on how the live-in carer arrangement could be practised in ways that allow live-in carers and thereby their care recipients to thrive.Peer reviewe
Bayesian optimization of the PC algorithm for learning Gaussian Bayesian networks
The PC algorithm is a popular method for learning the structure of Gaussian
Bayesian networks. It carries out statistical tests to determine absent edges
in the network. It is hence governed by two parameters: (i) The type of test,
and (ii) its significance level. These parameters are usually set to values
recommended by an expert. Nevertheless, such an approach can suffer from human
bias, leading to suboptimal reconstruction results. In this paper we consider a
more principled approach for choosing these parameters in an automatic way. For
this we optimize a reconstruction score evaluated on a set of different
Gaussian Bayesian networks. This objective is expensive to evaluate and lacks a
closed-form expression, which means that Bayesian optimization (BO) is a
natural choice. BO methods use a model to guide the search and are hence able
to exploit smoothness properties of the objective surface. We show that the
parameters found by a BO method outperform those found by a random search
strategy and the expert recommendation. Importantly, we have found that an
often overlooked statistical test provides the best over-all reconstruction
results
How to Conduct a Mini-Ethnographic Case Study: A Guide for Novice Researchers
The authors present how to construct a mini-ethnographic case study design with the benefit of an ethnographic approach bounded within a case study protocol that is more feasible for a student researcher with limited time and finances. The novice researcher should choose a design that enables one to best answer the research question. Secondly, one should choose the design that assists the researcher in reaching data saturation. Finally, the novice researcher must choose the design in which one can complete the study within a reasonable time frame with minimal cost. This is particularly important for student researchers. One can blend study designs to be able to use the best of each design that can mitigate the limitations of each as well. The authors are experienced ethnographers who currently chair dissertation committees where a student has chosen a mini-ethnographic case study design
A remarkable recurrent nova in M 31: The predicted 2014 outburst in X-rays with Swift
The M 31 nova M31N 2008-12a was recently found to be a recurrent nova (RN)
with a recurrence time of about 1 year. This is by far the fastest recurrence
time scale of any known RNe. Our optical monitoring programme detected the
predicted 2014 outburst of M31N 2008-12a in early October. We immediately
initiated an X-ray/UV monitoring campaign with Swift to study the
multiwavelength evolution of the outburst. We monitored M31N 2008-12a with
daily Swift observations for 20 days after discovery, covering the entire
supersoft X-ray source (SSS) phase. We detected SSS emission around day six
after outburst. The SSS state lasted for approximately two weeks until about
day 19. M31N 2008-12a was a bright X-ray source with a high blackbody
temperature. The X-ray properties of this outburst were very similar to the
2013 eruption. Combined X-ray spectra show a fast rise and decline of the
effective blackbody temperature. The short-term X-ray light curve showed
strong, aperiodic variability which decreased significantly after about day 14.
Overall, the X-ray properties of M31N 2008-12a are consistent with the average
population properties of M 31 novae. The optical and X-ray light curves can be
scaled uniformly to show similar time scales as those of the Galactic RNe U Sco
or RS Oph. The SSS evolution time scales and effective temperatures are
consistent with a high-mass WD. We predict the next outburst of M31N 2008-12a
to occur in autumn 2015.Comment: 13 pages, 7 figures, 3 tables; accepted for publication in A&
- âŠ