37 research outputs found

    Detection of a glitch in the pulsar J1709-4429

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    We report the detection of a glitch event in the pulsar J1709−-4429 (also known as B1706−-44) during regular monitoring observations with the Molonglo Observatory Synthesis Telescope (UTMOST). The glitch was found during timing operations, in which we regularly observe over 400 pulsars with up to daily cadence, while commensally searching for Rotating Radio Transients, pulsars, and FRBs. With a fractional size of Δν/ν≈52.4×10−9\Delta\nu/\nu \approx 52.4 \times10^{-9}, the glitch reported here is by far the smallest known for this pulsar, attesting to the efficacy of glitch searches with high cadence using UTMOST.Comment: 3 pages, 1 figur

    The SCUBA-2 Ambitious Sky Survey: a catalogue of beam-sized sources in the Galactic longitude range 120° to 140°

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    The SCUBA-2 Ambitious Sky Survey (SASSy) is composed of shallow 850-µm imaging using the Sub-millimetre Common-User Bolometer Array 2 (SCUBA-2) on the James Clerk Maxwell Telescope. Here we describe the extraction of a catalogue of beam-sized sources from a roughly 120 deg2 region of the Galactic plane mapped uniformly (to an rms level of about 40 mJy), covering longitude 120° l b| IRAS Point Source Catalogue, to determine which sources discovered in this field might be new, and hence potentially cold regions at an early stage of star formation

    Estimating solar irradiance using a geostationary satellite

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    A method to estimate global horizontal irradiance (GHI) at the surface using a geostationary satellite is presented. The spatial variation of ground and cloud albedo of California is characterized in the 0.55-0.75 [mu]m wavelength spectral region by analyzing a series of images from the visible channel on the GOES West satellite. Using these two characteristic albedo maps a cloud index is generated for each pixel in subsequent images as an estimate of the cloud fraction in that pixel. The cloud index is converted into a clear sky index which is then coupled with the modeled GHI under a clear sky to generate estimates of the GHI under the current cloud conditions. The model was applied to 914 images over 65 days and validated with ground truth measurements in California. The mean bias difference from 119 stations in the California Irrigation Management Information System was 6.7 W/m² (3.2%) and the root mean square difference was 78.6 W/m² (21.9%) which is consistent with previously reported results for satellite algorithms. A Matlab-Java code to execute the model is documente

    Development of a short-term solar power forecasting capability using ground-based visible wavelength imagery

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    A very short term solar power forecasting technology which uses ground-based visible wavelength imagery is presented. A sky camera system suitable for use as a solar power forecasting tool is described. Relevant imaging considerations are discussed, including the need for high dynamic range imaging of the daytime sky and an associated stray light assessment. To photogrammetrically calibrate this sky camera system, a general camera model applicable to a fixed focal length photo objective lens with significant radially symmetric distortion is developed, and an accurate calibration technique for a stationary, skyward pointing daytime camera using the sun's position is given. Remote sensing algorithms used in the solar forecasting process are detailed, including clear sky characterization, cloud detection, cloud velocity estimation, and cloud height estimation using stereography. A cloud stereo photogrammetry method which provides dense 3D cloud position is presented. Correspondence is automatically determined using intra- scanline dynamic programming applied to a normalized cross correlation matching metric; an ordering constraint is implicit in the approach used. Using the described remote sensing tools and methods, a complete solar power forecasting framework is detailed. The method is based on the estimation of cloud shadow position via ray tracing, and the forecast position of the cloud shadows relative to solar collectors. A ray tracing procedure that works with a planar mapping of cloud position is used to compute shadow position. Cloud transmissivity is characterized using past observations and applied to forecast cloud positions. The application of the procedure to two case studies: the UCSD DEMROES weather station network, and a 48MW solar photovoltaic power plant is presented. A comparison of the forecasting performance using a common Total Sky Imager is compared to the UCSD Sky Imager, where it is shown that the UCSD Sky Imager performs better overal

    Article, Bats Macabre, by Isa Urquhart Glenn, circa 1910

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    This is an item from the William Crawford Gorgas Papers. It includes material created by and written about Gorgas, as well as material created by Gorgas' family members. His diaries and journals illuminate his life and work for the U.S. Army as a surgeon and span the years he worked in Cuba and Panama. The collection includes official reports and other documents Gorgas wrote and collected, as well as articles and other publications written about Gorgas and his work in sanitation and disease prevention, particularly yellow fever. Correspondence, articles, and other items document the numerous awards and tributes Gorgas received during his life and memorials after his death in 1920. In addition to William Crawford Gorgas material, the collection includes other material belonging to Gorgas family members including Marie Gorgas and their daughter, Aileen Gorgas Wrightson. In 1924, his widow Marie Gorgas published William Crawford Gorgas: His Life and Work. This collection includes manuscripts, galley proofs, and published versions of her work

    Adopting Patient-Centred Tools in Cancer Care: Role of Evidence and Other Factors

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    Background: Randomized controlled trials (rcts) provide limited evidence to support the use of survivorship care plans (scps), but they provide strong evidence for patient decision aids (ptdas). Despite that evidence, the uptake of ptdas has been limited, but scps are being endorsed and implemented in many cancer programs across Canada. The objective of the present study was to illuminate the decision-making processes involved in the adoption of scps and ptdas. Methods: Informed by the principles of grounded theory, in-depth semi-structured interviews were conducted with clinicians, managers, and administrators who work in cancer care programs across Canada (n = 21). Data were collected and analyzed concurrently, using a constant comparative analysis approach. Data collection ended when theoretical saturation was reached. Results: For these types of patient-centred tools, participants noted that high-quality research evidence is often unnecessary for adoption decisions. Six key factors contribute to adoption or non-adoption decisions for scps and ptdas: (1) Alignment of research evidence with other evidence; (2) Perceived clinician benefit; (3) Endorsement by organizations and professional bodies; (4) Existence of local champions; (5) Adaptability to local contexts; (6) Ability to routinize and reach a large patient population. Conclusions: High-level evidence is not always the main consideration when adopting new tools into practice. And yet, understanding how clinicians and health system decision-makers decide whether and how to adopt new tools is important to optimizing the use of new tools and practices that are supported by research evidence
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