SOS: Send My Location

The SOS Send My Location application is for anyone who goes somewhere that might pose danger so they can have a solution that, in case of emergency, generates their curated message and populates their messaging application with their specified contacts and sends their location. It helps a user feel safe in cases of emergency, since they can ask for help with the touch of a button and some initially provided information. There is also an option where the user chooses who they want as their emergency contacts, as well as the ability to enter a custom message to send. The application has user friendly features, which enable users to utilize the application with little to no instruction

State of the U.S. Ocean and Coastal Economies 2016 Update

Relative to the landmass of coastal regions, America’s coasts and oceans contribute a disproportionately high value to the United States economy. For the past fifteen years, the National Ocean Economics Program (NOEP) has compiled time-series data that track multiple indicators for economic activities, demographics, natural resource production and values, non-market values, and federal expenditures in the U.S. coastal zone on land and in the water. On our website (www.oceaneconomics.org), government agencies, academia, industry, advocacy groups and the general public representing more than 40 nations— have had interactive access to this information and used it widely for many different purposes. This Update features highlights denoting economic changes that have occurred since our last report was issued in February 2014. We continue to measure two economies: the ocean economy, which includes all ocean-dependent activities in coastal states, and the coastal economy, which includes all economic activity in coastal states, according to geographies such as zip codes, shore adjacent and other coastal zone counties, and watersheds. In addition to updating the measures of economic activity such as employment, wages, and gross domestic product, we have updated our fisheries, offshore oil and gas, and ports and cargo data to indicate changes since our last report. Also, as we have in the past, we show sand nourishment production and price estimates; this time to track continuing changes in price and location in view of climate impacts along our nation’s coasts. We have added a new Arctic Economy page to our site and provide a brief report from it. Finally, we have been compiling federal expenditure data based on OMB annual estimates of all federal agency civilian expenditures for many years. We provide a brief summary of those data as well. The analysis presented here updates ocean economy information to 2013, the most recent available year for these data. Because of the lag in the production of ocean economy data by the federal agencies from which estimates are drawn, this report includes a new data series in the NOEP database: the Ocean Economy Coincident Index. This index utilizes more recent data on employment, establishments, and real wages to provide an indicator of trends between the most recent ocean economy data available (2013 in this report) and the most recent full year for which data are available (2014). A Note on Data Sources: All of the data reported here except for the Arctic data is sourced from public sources, including the Bureau of Labor Statistics, Bureau of Economic Analysis, the Census Bureau, and National Oceanic and Atmospheric Administrations’ Office of Coastal Management, NOAA Fisheries, Department of Interior, States of Alaska, Texas, Louisiana, California and Mississippi and Alabama for oil and gas data, beach nourishment data from West Carolina University (http://beachnourishment. wcu.edu). Thanks to Daniel Pauly and Rashid Sumalia at the University of British Columbia, for allowing us to use their Arctic fisheries data from Sea Around Us. All data is available for viewing and download on the website of the National Ocean Economics Program at www.oceaneconomics. org

State of the U.S. Ocean and Coastal Economies 2014

The nation\u27s coasts and oceans contribute much to the United States economy. For the past 14 years, the National Ocean Economics Program (NOEP), now a program of the Center for the Blue Economy at the Monterey Institute of International Studies, has compiled time-series data that track economic activities, demographics, ports and cargo volume and value, natural resource production and value, non-market values, and federal expenditures in the U.S. coastal zone both on land and in the water. A report on the ocean and coastal economies of the United States was released by NOEP in 2009 covering data through 2005. The present report is an update of that study covering the period 2007-2012. State summaries from this report are available on the NOEP website (www.oceaneconomics.org) under Publications

Collecting, analyzing and archiving of ground based infrared solar spectra obtained from several locations

The infrared solar spectrum as observed from the ground under high resolution contains thousands of absorption lines. The majority of these lines are due to compounds that are present in the Earth's atmosphere. Ground based infrared solar spectra contain information concerning the composition of the atmosphere at the time the spectra were obtained. The objective of this program is to record solar spectra from various ground locations, and to analyze and archive these spectra. The analysis consists of determining, for as many of the absorption lines as possible, the molecular species responsible for the absorption, and to verify that current models of infrared transmission match the observed spectra. Archiving is an important part of the program, since a number of the features in the spectra have not been identified. At some later time, when the features are identified, it will be possible to determine the amount of that compound that was present in the atmosphere at the time the spectrum was taken

Discovery of a Fifth Image of the Large Separation Gravitationally Lensed Quasar SDSS J1004+4112

We report the discovery of a fifth image in the large separation lensed quasar system SDSS J1004+4112. A faint point source located 0.2'' from the center of the brightest galaxy in the lensing cluster is detected in images taken with the Advanced Camera for Surveys (ACS) and the Near Infrared Camera and Multi-Object Spectrometer (NICMOS) on the Hubble Space Telescope. The flux ratio between the point source and the brightest lensed component in the ACS image is similar to that in the NICMOS image. The location and brightness of the point source are consistent with lens model predictions for a lensed image. We therefore conclude that the point source is likely to be a fifth image of the source quasar. In addition, the NICMOS image reveals the lensed host galaxy of the source quasar, which can strongly constrain the structure of the lensing critical curves and thereby the mass distribution of the lensing cluster.Comment: 5 pages, 5 figures, accepted for publication in PAS

Exploring constituency-level estimates for the 2017 British general election

Most opinion polls conducted during British general election campaigns report on each party’s estimated national vote share. Although of considerable interest, these data do not put the spotlight on the marginal seats, the constituencies targeted by the parties for intensive canvassing; these are where the contest for a majority in the House of Commons is won and lost. There have been some polls covering those constituencies as a whole, but very few of individual constituencies so there was very little reporting of the outcome for each party in those individual constituencies. That changed with the 2017 general election, when three analysts published estimates on the internet of each party’s vote share separately for each constituency and with those data predicted which party would win each seat. This paper explores the veracity of those estimates, finding that although in general terms they accurately represented the relative position of each constituency in the share of each party’s votes, nevertheless their estimates of which marginal seats would be won by each were not as accurate. The implications of such polls, especially as their predictive ability is improved, is discussed

Stress in nurses : stress-related affect and its determinants examined over the nursing day

Peer reviewedPostprin

The Sloan Digital Sky Survey Quasar Lens Search. II. Statistical lens sample from the third data release

We report the first results of our systematic search for strongly lensed quasars using the spectroscopically confirmed quasars in the Sloan Digital Sky Survey (SDSS). Among 46,420 quasars from the SDSS Data Release 3 (~4188 deg^2), we select a subsample of 22,683 quasars that are located at redshifts between 0.6 and 2.2 and are brighter than the Galactic extinction-corrected i-band magnitude of 19.1. We identify 220 lens candidates from the quasar subsample, for which we conduct extensive and systematic follow-up observations in optical and near-infrared wavebands, in order to construct a complete lensed quasar sample at image separations between 1" and 20" and flux ratios of faint to bright lensed images larger than 10^(−0.5). We construct a statistical sample of 11 lensed quasars. Ten of these are galaxy-scale lenses with small image separations (~ 1"-2") and one is a large separation (15") system which is produced by a massive cluster of galaxies, representing the first statistical sample of lensed quasars including both galaxy- and cluster-scale lenses. The Data Release 3 spectroscopic quasars contain an additional 11 lensed quasars outside the statistical sample

Observations and Theoretical Implications of the Large Separation Lensed Quasar SDSS J1004+4112

We study the recently discovered gravitational lens SDSS J1004+4112, the first quasar lensed by a cluster of galaxies. It consists of four images with a maximum separation of 14.62''. The system has been confirmed as a lensed quasar at z=1.734 on the basis of deep imaging and spectroscopic follow-up observations. We present color-magnitude relations for galaxies near the lens plus spectroscopy of three central cluster members, which unambiguously confirm that a cluster at z=0.68 is responsible for the large image separation. We find a wide range of lens models consistent with the data, but they suggest four general conclusions: (1) the brightest cluster galaxy and the center of the cluster potential well appear to be offset by several kpc; (2) the cluster mass distribution must be elongated in the North--South direction, which is consistent with the observed distribution of cluster galaxies; (3) the inference of a large tidal shear (~0.2) suggests significant substructure in the cluster; and (4) enormous uncertainty in the predicted time delays between the images means that measuring the delays would greatly improve constraints on the models. We also compute the probability of such large separation lensing in the SDSS quasar sample, on the basis of the CDM model. The lack of large separation lenses in previous surveys and the discovery of one in SDSS together imply a mass fluctuation normalization \sigma_8=1.0^{+0.4}_{-0.2} (95% CL), if cluster dark matter halos have an inner slope -1.5. Shallower profiles would require higher values of \sigma_8. Although the statistical conclusion might be somewhat dependent on the degree of the complexity of the lens potential, the discovery is consistent with the predictions of the abundance of cluster-scale halos in the CDM scenario. (Abridged)Comment: 21 pages, 24 figures, 5 tables, accepted for publication in Ap

The Sloan Digital Sky Survey Quasar Lens Search. III. Constraints on Dark Energy from the Third Data Release Quasar Lens Catalog

We present cosmological results from the statistics of lensed quasars in the Sloan Digital Sky Survey (SDSS) Quasar Lens Search. By taking proper account of the selection function, we compute the expected number of quasars lensed by early-type galaxies and their image separation distribution assuming a flat universe, which is then compared with 7 lenses found in the SDSS Data Release 3 to derive constraints on dark energy under strictly controlled criteria. For a cosmological constant model (w=-1) we obtain \Omega_\Lambda=0.74^{+0.11}_{-0.15}(stat.)^{+0.13}_{-0.06}(syst.). Allowing w to be a free parameter we find \Omega_M=0.26^{+0.07}_{-0.06}(stat.)^{+0.03}_{-0.05}(syst.) and w=-1.1\pm0.6(stat.)^{+0.3}_{-0.5}(syst.) when combined with the constraint from the measurement of baryon acoustic oscillations in the SDSS luminous red galaxy sample. Our results are in good agreement with earlier lensing constraints obtained using radio lenses, and provide additional confirmation of the presence of dark energy consistent with a cosmological constant, derived independently of type Ia supernovae.Comment: 9 pages, 3 figures, 2 tables, accepted for publication in A