4,346 research outputs found
The g-modes of white dwarfs
The neutral g-modes of a degenerate fluid at zero temperature are analyzed. The g-modes of a degenerate fluid at finite but small temperatures are then expanded in terms of those of the zero temperature fluid. For nonrelativistic degenerate fluids it is found that (1) the g-eigenvalues are proportional to T mu(6)sub e mu(-1)sub i, where T is the internal temperature of the fluid, mu sub e and mu sub i are the mean molecular weights of electrons and ions, respectively; (2) the ion pressure is solely responsible for driving the g-modes. For white dwarfs of about a solar mass, the periods of the g-oscillations are in the range of a few hundredths of seconds
Micromegas TPC studies at high magnetic fields using the charge dispersion signal
The International Linear Collider (ILC) Time Projection Chamber (TPC)
transverse space-point resolution goal is 100 microns for all tracks including
stiff 90 degree tracks with the full 2 meter drift. A Micro Pattern Gas
Detector (MPGD) readout TPC can achieve the target resolution with existing
techniques using 1 mm or narrower pads at the expense of increased detector
cost and complexity. The new MPGD readout technique of charge dispersion can
achieve good resolution without resorting to narrow pads. This has been
demonstrated previously for 2 mm x 6 mm pads with GEMs and Micromegas in cosmic
ray tests and in a KEK beam test in a 1 Tesla magnet. We have recently tested a
Micromegas-TPC using the charge dispersion readout concept in a high field
super-conducting magnet at DESY. The measured Micromegas gain was found to be
constant within 0.5% for magnetic fields up to 5 Tesla. With the strong
suppression of transverse diffusion at high magnetic fields, we measure a flat
50 micron resolution at 5 Tesla over the full 15 cm drift length of our
prototype TPC.Comment: 7 pages, 3 figure
Past alcohol consumption and incident atrial fibrillation: The Atherosclerosis Risk in Communities (ARIC) Study.
BackgroundAlthough current alcohol consumption is a risk factor for incident atrial fibrillation (AF), the more clinically relevant question may be whether alcohol cessation is associated with a reduced risk.Methods and resultsWe studied participants enrolled in the Atherosclerosis Risk in Communities Study (ARIC) between 1987 and 1989 without prevalent AF. Past and current alcohol consumption were ascertained at baseline and at 3 subsequent visits. Incident AF was ascertained via study ECGs, hospital discharge ICD-9 codes, and death certificates. Of 15,222 participants, 2,886 (19.0%) were former drinkers. During a median follow-up of 19.7 years, there were 1,631 cases of incident AF, 370 occurring in former consumers. Former drinkers had a higher rate of AF compared to lifetime abstainers and current drinkers. After adjustment for potential confounders, every decade abstinent from alcohol was associated with an approximate 20% (95% CI 11-28%) lower rate of incident AF; every additional decade of past alcohol consumption was associated with a 13% (95% CI 3-25%) higher rate of AF; and every additional drink per day during former drinking was associated with a 4% (95% CI 0-8%) higher rate of AF.ConclusionsAmong former drinkers, the number of years of drinking and the amount of alcohol consumed may each confer an increased risk of AF. Given that a longer duration of abstinence was associated with a decreased risk of AF, earlier modification of alcohol use may have a greater influence on AF prevention
A development cooperation Erasmus Mundus partnership for capacity building in earthquake mitigation science and higher education
Successful practices have shown that a community’s capacity to manage and reduce its seismic risk relies on
capitalization on policies, on technology and research results. An important role is played by education, than contribute to
strengthening technical curricula of future practitioners and researchers through university and higher education programs. EUNICE
is a European Commission funded higher education partnership for international development cooperation with the
objective to build capacity of individuals who will operate at institutions located in seismic prone Asian Countries. The project
involves five European Universities, eight Asian universities and four associations and NGOs active in advanced research on
seismic mitigation, disaster risk management and international development. The project consists of a comprehensive mobility
scheme open to nationals from Afghanistan, Bangladesh, China, Nepal, Pakistan, Thailand, Bhutan, India, Indonesia, Malaysia,
Maldives, North Korea, Philippines, and Sri Lanka who plan to enroll in school or conduct research at one of five European
partner universities in Italy, Greece and Portugal. During the 2010-14 time span a total number of 104 mobilities are being
involved in scientific activities at the undergraduate, masters, PhD, postdoctoral and academic-staff exchange levels.
Researchers, future policymakers and practitioners build up their curricula over a range of disciplines in the fields of earthquake
engineering, seismology, disaster risk management and urban planning
EU-NICE, Eurasian University Network for International Cooperation in Earthquakes
Despite the remarkable scientific advancements of earthquake engineering and seismology in many countries,
seismic risk is still growing at a high rate in the world’s most vulnerable communities. Successful practices have shown that a community’s capacity to manage and reduce its seismic risk relies on capitalization on policies, on
technology and research results. An important role is played by education, than contribute to strengthening
technical curricula of future practitioners and researchers through university and higher education programmes.
In recent years an increasing number of initiatives have been launched in this field at the international and global
cooperation level. Cooperative international academic research and training is key to reducing the gap between
advanced and more vulnerable regions. EU-NICE is a European Commission funded higher education
partnership for international development cooperation with the objective to build capacity of individuals who
will operate at institutions located in seismic prone Asian Countries. The project involves five European
Universities, eight Asian universities and four associations and NGOs active in advanced research on seismic
mitigation, disaster risk management and international development.
The project consists of a comprehensive mobility scheme open to nationals from Afghanistan, Bangladesh,
China, Nepal, Pakistan, Thailand, Bhutan, India, Indonesia, Malaysia, Maldives, North Korea, Philippines, and
Sri Lanka who plan to enrol in school or conduct research at one of five European partner universities in Italy,
Greece and Portugal. During the 2010-14 time span a total number of 104 mobilities are being involved in
scientific activities at the undergraduate, masters, PhD, postdoctoral and academic-staff exchange levels.
This high number of mobilities and activities is selected and designed so as to produce an overall increase of
knowledge that can result in an impact on earthquake mitigation. Researchers, future policymakers and
practitioners build up their curricula over a range of disciplines in the fields of engineering, seismology, disaster
risk management and urban planning. Specific educational and research activities focus on earthquake risk
mitigation related topics such as: anti-seismic structural design, structural engineering, advanced computer
structural collapse analysis, seismology, experimental laboratory studies, international and development issues in
disaster risk management, social-economical impact studies, international relations and conflict resolution
Agricultural resource and risk management with multiperiod stochastics: A case of the mixed crop-livestock production system in the drylands of Jordan
Generally, agricultural production involves several challenges. In the drylands, it is further complicated by weather-related risks and resource degradation. In this paper, we present a case study of the mixed crop-livestock production system in Jordan. To better capture the nature of response farming in the drylands, we develop a methodology for using crop simulation models to directly generate data for optimizing production practices of an integrated crop-livestock producing household in a dynamic stochastic context. The approach optimizes producer's adaptations to random events, such as weather, which are realized throughout the planning horizon. To ensure the sustainability of the optimized production decisions, long-term valuations of end of horizon soil attributes are included in the objective function. This approach endogenizes the tradeoff between short-and long-run productivity. Model results show that due to the limited natural resource endowments and financial liquidity constraints of the typical farm households in the study area, we find these households have limited options. To optimally respond to weather conditions during the production season, better manage risk, and achieve improvements in soil attributes, a typical household would need larger farm size, larger flock, and better financial liquidity than it currently commands. Like all such models, the farm household model used in this paper is not suitable for drawing policy implications. Therefore, targeted analysis using appropriate sectoral or economy-wide models will be needed in the future to identify and test the efficacy of different policy and institutional interventions including land consolidation, establishment of producer and marketing cooperatives, access to financial services including agricultural credit, and crop insurance in expanding the resource base of farmers-thereby positioning them for higher earnings, ensuring soil conservation, and enhancing the sustainability of the production system
Phenomenology of a three-family model with gauge symmetry SU(3)_c X SU(4)_L X U(1)_X
We study an extension of the gauge group SU(3)_c X SU(2)_L X U(1)_Y of the
standard model to the symmetry group SU(3)_c X SU(4)_L X U(1)_X (3-4-1 for
short). This extension provides an interesting attempt to answer the question
of family replication in the sense that models for the electroweak interaction
can be constructed so that anomaly cancellation is achieved by an interplay
between generations, all of them under the condition that the number of
families must be divisible by the number of colours of SU(3)_c. This method of
anomaly cancellation requires a family of quarks transforming differently from
the other two, thus leading to tree-level flavour changing neutral currents
(FCNC) transmitted by the two extra neutral gauge bosons and
predicted by the model. In a version of the 3-4-1 extension, which does not
contain particles with exotic electric charges, we study the fermion mass
spectrum and some aspects of the phenomenology of the neutral gauge boson
sector. In particular, we impose limits on the mixing angle and on the
mass scale of the corresponding physical new neutral gauge boson , and
establish a lower bound on the mass of the additional new neutral gauge boson
. For the analysis we use updated precision electroweak data at
the Z-pole from the CERN LEP and SLAC Linear Collider, and atomic parity
violation data. The mass scale of the additional new neutral gauge boson
is constrained by using updated experimental inputs from neutral meson mixing
in the analysis of the sources of FCNC in the model. The data constrain the
mixing angle to a very small value of O(0.001), and the lower bounds on
and on are found to be of O(1 TeV) and of O(7 TeV),
repectively.Comment: 22 pages, 6 tables, 1 figure. To appear in J. Phys. G: Nuclear and
Particle Physic
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FAST DATA: A Fair, Secure and Trusted Decentralized IIoT Data Marketplace enabled by Blockchain
As the world calls it, data is the new oil. With vast installments of Industrial Internet-of-Things (IIoT) infrastructure, data is produced at a rate like never before. Similarly, artificial intelligence (AI) and machine learning (ML) solutions are getting integrated to numerous services, making them "smarter". However, the data remains fragmented in individual organizational silos inhibiting data value extraction to it’s full potential. Digital marketplaces are emerging to allow data owners to monetize this data. Yet concerns like privacy, security and unfair payment settlement deter adoption of such platforms. In addition, the state-of-the-art platforms are under the control of large multinational corporations with no transparency between buyer and seller in terms of payment details, listing, data discovery and storage. In this work, a novel decentralized platform of digital data marketplace for IoT data has been proposed. The platform leverages a decentralized data streaming network to host IoT data in a reliable and fault tolerant manner. The platform ensures fair trading, data storage and delivery in a privacy preserving manner and trust metric calculation for actors in the network. In order to study the feasibility of the proposed platform, an open source library is developed using Hyperledger Fabric and data network layer built on VerneMQ, the library is deployed on a real-time Google cloud platform. The library is tested and results are analysed for throughput, overheads and scalability
Coupling of replicate order-parameters in incommensurate multiferroics
The specific properties of incommensurate multiferroic phases resulting from
the coupling of order-parameter replicates are worked out using the
illustrative example of iron vanadate. The dephasing between the
order-parameter copies induces an additional broken symmetry phase
corresponding to the lowest symmetry of the system and varies critically at the
transition to the multiferroic phase. It reflects the temperature dependence of
the angle between paired spins in the antiferromagnetic spiral structure.
Expressing the transition order-parameters in terms of spin-density waves
allows showing that isotropic exchange interactions contribute to the
stabilization of the ferroelectric phase
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