527 research outputs found
Knowledge, management and intelligent decision support for protection scheme design and application in electrical power systems
The paper describes a research project carried out inconjunction with two major UK utilities, focusing on the introduction of knowledge management and intelligent decision support to the existing protection design and application processes operated within both companies. A brief overview is provided of the generic design process, and the development of the web-based Design Engineering Knowledge Application System (DEKAS). This system incorporates intelligent case based reasoning (CBR) functionality to address the knowledge management and decision support requirements of each company's design process. The perceived key benefits of DEKAS relating to the management and utilisation of the data, information and knowledge throughout the protection design process is also discussed
DEKAS - An evolutionary case-based reasoning system to support protection scheme design
This paper describes a decision support system being developed in conjunction with two UK utility companies to aid the design of electrical power transmission protection systems. A brief overview of the application domain is provided, followed by a description of the work carried out to date concerning the development and deployment of the Design Engineering Knowledge Application System (DEKAS). The paper then discusses the provision of intelligent decision support to the design engineer through the application of case-based reasoning (CBR). The key benefits from this will be outlined in conjunction with a relevant case study
Simulated Extragalactic Observations with a Cryogenic Imaging Spectrophotometer
In this paper we explore the application of cryogenic imaging
spectrophotometers. Prototypes of this new class of detector, such as
superconducting tunnel junctions (STJs) and transition edge sensors (TESs),
currently deliver low resolution imaging spectrophotometry with high quantum
efficiency (70-100%) and no read noise over a wide bandpass in the visible to
near-infrared. In order to demonstrate their utility and the differences in
observing strategy needed to maximize their scientific return, we present
simulated observations of a deep extragalactic field. Using a simple analytic
technique, we can estimate both the galaxy redshift and spectral type more
accurately than is possible with current broadband techniques. From our
simulated observations and a subsequent discussion of the expected migration
path for this new technology, we illustrate the power and promise of these
devices.Comment: 30 pages, 10 figures, accepted for publication in the Astronomical
Journa
Utilizing Astroinformatics to Maximize the Science Return of the Next Generation Virgo Cluster Survey
The Next Generation Virgo Cluster Survey is a 104 square degree survey of the
Virgo Cluster, carried out using the MegaPrime camera of the
Canada-France-Hawaii telescope, from semesters 2009A-2012A. The survey will
provide coverage of this nearby dense environment in the universe to
unprecedented depth, providing profound insights into galaxy formation and
evolution, including definitive measurements of the properties of galaxies in a
dense environment in the local universe, such as the luminosity function. The
limiting magnitude of the survey is g_AB = 25.7 (10 sigma point source), and
the 2 sigma surface brightness limit is g_AB ~ 29 mag arcsec^-2. The data
volume of the survey (approximately 50 terabytes of images), while large by
contemporary astronomical standards, is not intractable. This renders the
survey amenable to the methods of astroinformatics. The enormous dynamic range
of objects, from the giant elliptical galaxy M87 at M(B) = -21.6, to the
faintest dwarf ellipticals at M(B) ~ -6, combined with photometry in 5 broad
bands (u* g' r' i' z'), and unprecedented depth revealing many previously
unseen structures, creates new challenges in object detection and
classification. We present results from ongoing work on the survey, including
photometric redshifts, Virgo cluster membership, and the implementation of fast
data mining algorithms on the infrastructure of the Canadian Astronomy Data
Centre, as part of the Canadian Advanced Network for Astronomical Research
(CANFAR).Comment: 8 pages, 2 figures. Accepted for the Joint Workshop and Summer
School: Astrostatistics and Data Mining in Large Astronomical Databases, La
Palma, May 30th - June 3rd 2011. A higher resolution version is available at
http://sites.google.com/site/nickballastronomer/publication
NAC and DTT promote TGF-β1 monomer formation: demonstration of competitive binding
TGF-β plays an important role in the genesis and progression of pulmonary fibrosis. We sought to determine the role of mononuclear phagocytes in the activation of TGF-β and found that freshly isolated peripheral blood monocytes spontaneously released TGF-β. Stimulating these monocytes with GM-CSF or LPS, but not MCSF, augmented the activation of TGF-β. In human monocytes, the free thiol compounds DTT and NAC decreased the activity of TGF-β, without affecting TGF-β mRNA transcription. Both NAC and DTT lessened the biological activity of recombinant active TGF-β in a cell-free system. We found that NAC and DTT reduced dimeric active TGF-β from a 25 kDa protein to 12.5 kDa inactive monomer. This conversion was reversed using the oxidizing agent diamide. Diamide also restored biological activity to NAC or DTT-treated TGF-β. Reduction of TGF-β to monomers could competitively inhibit active dimeric TGF-β and block intracellular signaling events. Our observations suggest that modulation of the oxidative state of TGF-β may be a novel therapeutic approach for patients with pulmonary fibrosis
The properties of the Malin 1 galaxy giant disk: A panchromatic view from the NGVS and GUViCS surveys
Low surface brightness galaxies (LSBGs) represent a significant percentage of
local galaxies but their formation and evolution remain elusive. They may hold
crucial information for our understanding of many key issues (i.e., census of
baryonic and dark matter, star formation in the low density regime, mass
function). The most massive examples - the so called giant LSBGs - can be as
massive as the Milky Way, but with this mass being distributed in a much larger
disk. Malin 1 is an iconic giant LSBG, perhaps the largest disk galaxy known.
We attempt to bring new insights on its structure and evolution on the basis of
new images covering a wide range in wavelength. We have computed surface
brightness profiles (and average surface brightnesses in 16 regions of
interest), in six photometric bands (FUV, NUV, u, g, i, z). We compared these
data to various models, testing a variety of assumptions concerning the
formation and evolution of Malin 1. We find that the surface brightness and
color profiles can be reproduced by a long and quiet star-formation history due
to the low surface density; no significant event, such as a collision, is
necessary. Such quiet star formation across the giant disk is obtained in a
disk model calibrated for the Milky Way, but with an angular momentum
approximately 20 times larger. Signs of small variations of the star-formation
history are indicated by the diversity of ages found when different regions
within the galaxy are intercompared.For the first time, panchromatic images of
Malin 1 are used to constrain the stellar populations and the history of this
iconic example among giant LSBGs. Based on our model, the extreme disk of Malin
1 is found to have a long history of relatively low star formation (about 2
Msun/yr). Our model allows us to make predictions on its stellar mass and
metallicity.Comment: Accepted in Astronomy and Astrophysic
The Statistical Approach to Quantifying Galaxy Evolution
Studies of the distribution and evolution of galaxies are of fundamental
importance to modern cosmology; these studies, however, are hampered by the
complexity of the competing effects of spectral and density evolution.
Constructing a spectroscopic sample that is able to unambiguously disentangle
these processes is currently excessively prohibitive due to the observational
requirements. This paper extends and applies an alternative approach that
relies on statistical estimates for both distance (z) and spectral type to a
deep multi-band dataset that was obtained for this exact purpose.
These statistical estimates are extracted directly from the photometric data
by capitalizing on the inherent relationships between flux, redshift, and
spectral type. These relationships are encapsulated in the empirical
photometric redshift relation which we extend to z ~ 1.2, with an intrinsic
dispersion of dz = 0.06. We also develop realistic estimates for the
photometric redshift error for individual objects, and introduce the
utilization of the galaxy ensemble as a tool for quantifying both a
cosmological parameter and its measured error. We present deep, multi-band,
optical number counts as a demonstration of the integrity of our sample. Using
the photometric redshift and the corresponding redshift error, we can divide
our data into different redshift intervals and spectral types. As an example
application, we present the number redshift distribution as a function of
spectral type.Comment: 40 pages (LaTex), 21 Figures, requires aasms4.sty; Accepted by the
Astrophysical Journa
Prospectus, September 10, 1981
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Use of BRCA Mutation Test in the US, 2004-2014
Introduction BRCA mutation testing has been used for screening women at high risk of breast and ovarian cancer and for selecting the best treatment for those with breast cancer. To optimize the infrastructure and medical resources allocation for genetic testing, it is important to understand the use of BRCA mutation testing in the U.S. health system. Methods This retrospective cohort study included 53,254 adult women with insurance claims for BRCA mutation testing between 2004 and 2014 from ClinformaticsTM Data Mart Database. Data analysis was performed in 2016. This study assessed trends in the use of BRCA mutation testing in women with previously diagnosed breast or ovarian cancer and those without (unaffected women). Results Between 2004 and 2014, of those receiving BRCA testing, the proportion of BRCA tests performed in unaffected women increased significantly (p\u3c0.001), from 24.3% in 2004 to 61.5% in 2014. An increase in the proportion of BRCA tests used in unaffected women was found in each characteristic subgroup. In 2014, most subgroups had a proportion surpassing 50%, except for those aged 51–65 years and those without a family history of breast cancer. There was a much lower proportion of those aged 20–40 years among tested women with previously diagnosed breast or ovarian cancer than in unaffected women (17.6% vs 41.7%, p\u3c0.001). Conclusions During the past decade, the role of BRCA testing has gradually shifted from being used primarily in cancer patients to being used in unaffected women in the U.S
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