14,177 research outputs found

    News in an era of content confusion: effects of news use motivations and context on native advertising and digital news perceptions

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    This study examined the effects of differing native advertising framing contexts (hard versus soft news) and individuals’ news use motivations on ability to perceive commercialized content, evaluations of native advertising, and ensuing digital news perceptions. Based upon the framework of the persuasion knowledge model, an online experiment was conducted among a sample of U.S. adults (N = 684). When revealed as advertising, people were more likely to perceive the hard news rather than the soft news framing as commercial in nature. Furthermore, hard news approaches to native advertising were perceived unfavorably by audiences and tarnished the subsequent reporting of actual journalists.Accepted manuscrip

    A dynamical and kinematical model of the Galactic stellar halo and possible implications for galaxy formation scenarios

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    We re-analyse the kinematics of the system of blue horizontal branch field (BHBF) stars in the Galactic halo (in particular the outer halo), fitting the kinematics with the model of radial and tangential velocity dispersions in the halo as a function of galactocentric distance r proposed by Sommer-Larsen, Flynn & Christensen (1994), using a much larger sample (almost 700) of BHBF stars. The basic result is that the character of the stellar halo velocity ellipsoid changes markedly from radial anisotropy at the sun to tangential anisotropy in the outer parts of the Galactic halo (r greater than approx 20 kpc). Specifically, the radial component of the stellar halo's velocity ellipsoid decreases fairly rapidly beyond the solar circle, from approx 140 +/- 10 km/s at the sun, to an asymptotic value of 89 +/- 19 km/s at large r. The rapid decrease in the radial velocity dispersion is matched by an increase in the tangential velocity dispersion, with increasing r. Our results may indicate that the Galaxy formed hierarchically (partly or fully) through merging of smaller subsystems - the 'bottom-up' galaxy formation scenario, which for quite a while has been favoured by most theorists and recently also has been given some observational credibility by HST observations of a potential group of small galaxies, at high redshift, possibly in the process of merging to a larger galaxy (Pascarelle et al 1996).Comment: Latex, 16 pages. 2 postscript figures. Submitted to the Astrophysical Journal. also available at http://astro.utu.fi/~cflynn/outerhalo.htm

    Robust Cosmological Bounds on Neutrinos and their Combination with Oscillation Results

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    We perform a global analysis of cosmological observables in generalized cosmologies which depart from Λ\LambdaCDM models by allowing non-vanishing curvature Ωk≠0\Omega_k\neq 0, dark energy with equation of state with ω≠−1\omega\neq -1, the presence of additional relativistic degrees of freedom ΔNrel\Delta N_{\rm rel}, and neutrino masses Ων≠0\Omega_\nu\neq 0. By combining the data from cosmic microwave background (CMB) experiments (in particular the latest results from WMAP-7), the present day Hubble constant (H0) measurement, the high-redshift Type-I supernovae (SN) results and the information from large scale structure (LSS) surveys, we determine the parameters in the 10-dimensional parameter space for such models. We present the results from the analysis when the full shape information from the LSS matter power spectrum (LSSPS) is included versus when only the corresponding distance measurement from the baryon acoustic oscillations (BAO) is accounted for. We compare the bounds on the neutrino mass scale in these generalized scenarios with those obtained for the 6+1 parameter analysis in ΛCDM+mν\Lambda{\rm CDM}+m_\nu models and we also study the dependence of those on the set of observables included in the analysis. Finally we combine these results with the information on neutrino mass differences and mixing from the global analysis of neutrino oscillation experiments and derive the presently allowed ranges for the two laboratory probes of the absolute scale of neutrino mass: the effective electron neutrino mass in single beta decay and the effective Majorana neutrino mass in neutrinoless ββ\beta\beta decay.Comment: 19 pages, 4 figures. Acknowledgments correcte

    Electricity from photovoltaic solar cells: Flat-Plate Solar Array Project final report. Volume VI: Engineering sciences and reliability

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    The Flat-Plate Solar Array (FSA) Project, funded by the U.S. Government and managed by the Jet Propulsion Laboratory, was formed in 1975 to develop the module/array technology needed to attain widespread terrestrial use of photovoltaics by 1985. To accomplish this, the FSA Project established and managed an Industry, University, and Federal Government Team to perform the needed research and development. This volume of the series of final reports documenting the FSA Project deals with the Project's activities directed at developing the engineering technology base required to achieve modules that meet the functional, safety and reliability requirements of large-scale terrestrial photovoltaic systems applications. These activities included: (1) development of functional, safety, and reliability requirements for such applications; (2) development of the engineering analytical approaches, test techniques, and design solutions required to meet the requirements; (3) synthesis and procurement of candidate designs for test and evaluation; and (4) performance of extensive testing, evaluation, and failure analysis to define design shortfalls and, thus, areas requiring additional research and development. During the life of the FSA Project, these activities were known by and included a variety of evolving organizational titles: Design and Test, Large-Scale Procurements, Engineering, Engineering Sciences, Operations, Module Performance and Failure Analysis, and at the end of the Project, Reliability and Engineering Sciences. This volume provides both a summary of the approach and technical outcome of these activities and provides a complete Bibliography (Appendix A) of the published documentation covering the detailed accomplishments and technologies developed

    Evidence for dust accumulation just outside the orbit of Venus

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    To contribute to the knowledge of dynamics of interplanetary dust we are searching for structures in the spatial distribution of interplanetary dust near the orbit of Venus. To this end we study the radial gradient of zodiacal light brightness, as observed by the zodiacal light photometer on board the Helios space probes on several orbits from 1975 to 1979. The cleanest data result from Helios B (= Helios 2) launched in January 1976. With respect to the general increase of zodiacal light brightness towards the Sun, the data show an excess brightness of a few percent for positions of the Helios space probe just outside the orbit of Venus. We consider this as evidence for a dust ring associated with the orbit of Venus, somewhat similar to that found earlier along the Earth's orbit.Comment: 7 pages, 8 figures, Astronomy&Astrophysics, accepte

    How predictable is technological progress?

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    Recently it has become clear that many technologies follow a generalized version of Moore's law, i.e. costs tend to drop exponentially, at different rates that depend on the technology. Here we formulate Moore's law as a correlated geometric random walk with drift, and apply it to historical data on 53 technologies. We derive a closed form expression approximating the distribution of forecast errors as a function of time. Based on hind-casting experiments we show that this works well, making it possible to collapse the forecast errors for many different technologies at different time horizons onto the same universal distribution. This is valuable because it allows us to make forecasts for any given technology with a clear understanding of the quality of the forecasts. As a practical demonstration we make distributional forecasts at different time horizons for solar photovoltaic modules, and show how our method can be used to estimate the probability that a given technology will outperform another technology at a given point in the future
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