26,367 research outputs found
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Visual analysis of social networks in space and time using smartphone logs
We designed and applied novel interactive visualisation to investigate how social networks - derived from smartphone logs - are embedded in time and space. Social networks were identified through direct calls between participants and calls to mutual contacts of participants. Direct contact between participants was sparse and deriving networks through mutual contacts helped enrich the social networks. Our resulting interactive visualisation tool offers four linked and co-ordinated views of spatial, temporal, individual and social network aspects of the data. Brushing and altering techniques help us investigate how these aspects relate. We also simultaneously display some demographic and attitudinal variables to help add context to the behaviours we observe. Using these techniques, we were able to characterise spatial and temporal aspects of participants' social networks and suggest explanations for some of them. We reflect on the extent to which such analysis helps us understand social communication behaviour
Asteroseismology of the Kepler field DBV White Dwarf - It's a hot one!
We present an asteroseismic analysis of the helium atmosphere white dwarf (a
DBV) recently found in the field of view of the Kepler satellite. We analyze
the 5-mode pulsation spectrum that was produced based on one month of high
cadence Kepler data. The pulsational characteristics of the star and the
asteroseismic analysis strongly suggest that the star is hotter (29200 K) than
the 24900 K suggested by model fits to the low S/N survey spectrum of the
object. This result has profound and exciting implications for tests of the
Standard Model of particle physics. Hot DBVs are expected to lose over half of
their energy through the emission of plasmon neutrinos. Continuous monitoring
of the star with the Kepler satellite over the course of 3 to 5 years is not
only very likely to yield more modes to help constrain the asteroseismic fits,
but also allow us to obtain a rate of change of any stable mode and therefore
measure the emission of plasmon neutrinos.Comment: 5 pages, 3 figures, accepted for publication in ApJ
The effect of scattering on the structure and SED of protoplanetary disks
In this paper we investigate how the inclusion of scattering of the stellar
radiation into a passive flaring disk model affects its structure and spectral
energy distribution, and whether neglecting it could significantly decrease the
model reliability. In order to address these questions we construct a detailed
1+1D vertical structure model in which the scattering properties of the dust
can be varied. Models are presented with and without dust scattering, and for
different albedos and phase functions. It is found that scattering has the
effect of reducing the disk temperature at all heights, so that the disk
"shrinks", i.e., the the density at all intermediate heights decreases.
However, this effect in most cases is more than compensated by the increase of
the total extinction (absorption + scattering) cross section, so that the
surface scale height increases, and images in scattered light will see a
slightly thicker disk. The integrated infrared emission decreases as the albedo
increases, because an increasing part of the flux captured by the disk is
reflected away instead of absorbed and reprocessed. The reduction of the
infrared thermal emission of the disk is stronger at short wavelengths (near
infrared) and practically negligible at millimeter wavelengths. For relatively
low albedo (alb <~ 0.5), or for strongly forward-peaked scattering (g roughly
>0.8), the infrared flux reduction is relatively small.Comment: Accepted for publication in Astronomy & Astrophysic
A survey of inclusive growth policy
Background: Since the latter part of the 20th Century, countries have been particularly challenged by the trade-off that exists between delivering generous welfare provisions and strong economic growth. Such dynamics have stimulated a need to better understand the causes of income inequality so as to better formulate policies that foster inclusive growth and reduce growing concerns surrounding income inequality.
Method: Given its ability to succinctly summarize, analyze, and synthesize an extant body of literature from a certain genre of scholastic endeavor, this study utilizes a literature review as its proposed methodological approach.
Results: From our assessment of the literature, we identified four key areas that contribute significantly to income inequality in both advanced and developing economies, these include: (i) pursuing skill-biased technological change; (ii) enhancing education systems; (iii) consolidation of globalization; and (iv) reform of the labor market and its relevant institutions.
Conclusion: There is no silver bullet to achieving inclusive growth. Any policy manifesto must seek to offer a coordinated policy platform that looks to deal directly with the causes of inequality. In order to do so, consideration should be given to a range of policy areas including fiscal, education, trade liberalization, and labor market reforms
Digital transformation as a demographic and economic integrated policy for Southeast Asian developing countries
The age of Southeast Asian developing countries’ populations is still younger than that of other regions around the world. However, recent statistics show that the tide is now turning in this regard, with many of these populations beginning to age at rates much faster than many other countries. Such developments require immediate policy action in order to create a sustainable path towards economic growth before demographic changes become less benign in the medium term. In this study, we discuss the economic consequences of population aging, increases in the economic support ratio, and a declining potential growth rate. We argue that it is essential for Southeast Asian developing countries to raise total factor productivity (TFP) growth rates so as to achieve more sustainable economic outcomes. By conducting panel regressions using data from 82 countries across the 1996–2019 study period, our study shows that increasing research and development (R&D) spending and the facilitation of structural changes that transform the digital economy landscape are key policy options that promote TFP growt
Enhancing Yogurt With Healthful Fiber From Oats
Adding about one-quarter teaspoon of a fiber-rich component of oats boosts the nutritional value of low-fat yogurt without noticeably affecting the taste or texture of this increasingly popular dairy food.
Oat fiber is of interest to foodmakers and nutritionists alike. Studies with volunteers have shown that it can lower serum cholesterol, which may help improve heart health.
Agricultural Research Service food technologist Mukti Singh, chemist Sanghoon Kim, and their colleagues experimented with adding fiber-containing oat beta-glucan to what’s known in the dairy industry as “low-fat yogurt mix.” It is made up of low-fat milk and a selection of common, safe-to-eat bacteria that ferment the milk. Best known bacteria include Lactobacillus acidophilus or various Bifidobacterium species.
Singh’s intent was to see how much fiber she could add without altering key qualities of yogurt, including texture, viscosity, color, pH, and fermentation time
Tracing the trends in sustainability and social media research using topic modeling
New ideas are often born from connecting the dots. What new ideas have emerged among the two highly trending research topics of sustainability and social media? In this study, we present an empirical analysis of 762 published works that included the terms “sustainability” and “social media” in their abstracts. The bibliographic data, including abstracts, were collected from the Scopus database. In order to conduct the analysis, we used the Latent Dirichlet Allocation (LDA), an unsupervised machine learning algorithm to extract the latent topics from the large quantity of research abstracts without any manual adjustment. The 10 main topics identified from our analysis revealed topographical maps of research in the field. By measuring the variation of topic distributions over time, we identified hot topics (research trends that are becoming increasingly popular over time) and cold topics. Sustainable consumer behavior, Sustainable community and Sustainable tourism were identified as being hot topics, while Education for sustainability was identified as the only cold topic. By identifying current trends in social media and sustainability research, our findings lay a platform from which further studies may abound
Institutional Moral Hazard in the Multi-tiered Regulation of Unemployment and Social Assistance Benefits. CEPS Special Report No. 137/April 2016 Wednesday, 27 April 2016
This paper studies eight countries in which the regulation of unemployment benefits and related benefits and the concomitant activation of unemployed individuals has a multi-tiered architecture. It assesses their experiences and tries to understand possible problems of ‘institutional moral hazard’ that may emerge in the context of a hypothetical European Unemployment Benefit Scheme
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New PomBase Website 2017, Group Leader Survey Summary
PomBase launched a new version of its website on 25th October 2017. Shortly thereafter, 100 fission yeast research group leaders were surveyed to gauge the impact of the site redesign
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