F14RS SGR No. 36 (Billiard Space)

A RESOLUTION To urge and request LSU Auxiliary Services to allow LSU University Recreation to temporarily utilize the former billiards space in the LSU Student Unio

Technologies for Writing at the Private Sector Workplace

Peer reviewe

Analysis of the first IPTA Mock Data Challenge by the EPTA timing data analysis working group

This is a summary of the methods we used to analyse the first IPTA Mock Data Challenge (MDC), and the obtained results. We have used a Bayesian analysis in the time domain, accelerated using the recently developed ABC-method which consists of a form of lossy linear data compression. The TOAs were first processed with Tempo2, where the design matrix was extracted for use in a subsequent Bayesian analysis. We used different noise models to analyse the datasets: no red noise, red noise the same for all pulsars, and individual red noise per pulsar. We sampled from the likelihood with four different samplers: "emcee", "t-walk", "Metropolis-Hastings", and "pyMultiNest". All but emcee agreed on the final result, with emcee failing due to artefacts of the high-dimensionality of the problem. An interesting issue we ran into was that the prior of all the 36 (red) noise amplitudes strongly affects the results. A flat prior in the noise amplitude biases the inferred GWB amplitude, whereas a flat prior in log-amplitude seems to work well. This issue is only apparent when using a noise model with individually modelled red noise for all pulsars. Our results for the blind challenges are in good agreement with the injected values. For the GWB amplitudes we found h_c = 1.03 +/- 0.11 [10^{-14}], h_c = 5.70 +/- 0.35 [10^{-14}], and h_c = 6.91 +/- 1.72 [10^{-15}], and for the GWB spectral index we found gamma = 4.28 +/- 0.20, gamma = 4.35 +/- 0.09, and gamma = 3.75 +/- 0.40. We note that for closed challenge 3 there was quite some covariance between the signal and the red noise: if we constrain the GWB spectral index to the usual choice of gamma = 13/3, we obtain the estimates: h_c = 10.0 +/- 0.64 [10^{-15}], h_c = 56.3 +/- 2.42 [10^{-15}], and h_c = 4.83 +/- 0.50 [10^{-15}], with one-sided 2 sigma upper-limits of: h_c <= 10.98 [10^{-15}], h_c <= 60.29 [10^{-15}], and h_c <= 5.65 [10^{-15}].Comment: 10 pages, 5 figure

Campagne ouest lyonnais

L’opération de prospection inventaire diachronique sur ces quatre communes du sud du plateau lyonnais, démarrée en 2011, s’est poursuivie en 2012 et 2013. Son but est de compléter les éléments recueillis par Pascal Celli dans les années 1990 et les riches découvertes faites lors de la campagne de fouilles de la villa gallo-romaine au lieu-dit Goiffieux dans la commune de Saint-Laurent-d’Agny menée de 2008 à 2011 par Matthieu Poux. En 2013, les sites archéologiques, dont les céramiques recueil..

I BUY YOUR PRODUCT WHEN I FEEL I KNOW YOU: USING BLOG DISCLOSURE TO INFLUENCE CONSUMERS

Whilst confidence in certain companies has fallen as a result of the feeling amongst consumers that their private life has been violated, it would seem that at the same time, consumers are very eager to know more about the private life of the bloggers they follow. In return, bloggers are revealing more and more about themselves and displaying their private lives on their blogs. We show that the role of disclosure is a key determinant in consumer persuasion and that the exposure by bloggers of their private lives has a positive influence on their visitors. A quantitative study made of fashion and beauty blog enabled us to assess the impact of such disclosure on confidence in the blog, attitude towards the blog and the brand, and on the various routes to persuasion observed. The managerial implications of this research are presented in conclusion to help managers choose relevant blogs