87 research outputs found

    Decent working time: New trends, new issues.

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    Includes selected papers from the 9th International Symposium on Working Time, Paris (2004), looking at the increasing use of results-based employment relationships for managers and professionals, and the increasing fragmentation of time to more closely tailor staffing needs to customer requirements (e.g., short-hours, part-time work). Moreover, as operating/opening hours rapidly expand toward a 24-hour and 7-day economy, the book considers how this has resulted in a growing diversification, decentralization, and individualization of working hours, as well as an increasing tension between enterprises' business requirements and workers' needs and preferences regarding their hours. It addresses issues such as increasing employment insecurity and instability, time-related social inequalities, particularly in relation to gender, workers' ability to balance their paid work with their personal lives, and the synchronization of working hours with social times, such as community activities. In addition, the book offers suggestions on how policy-makers, academics, and the social partners can together help further develop effective policies for advancing "decent working timeRéduction du temps de travail; Aménagement du temps de travail; Horaires de travail; Labor laws and legislation; Developed countries; Trend; Arrangement of working time; Flexible hours of work; Hours of work;

    Decent working time in industrialized countries: issues, scopes and paradox

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    International audienceThis chapter attempts to analyse the ways in which the trends and stakes of working time have changed during recent decades (section 1.2). The utility of the concept of “decent working time” will then be examined in the light of these changes, by emphasizing its heuristic contribution, and the perspectives and implications that the term suggests in respect of working time policy (section 1.3). The limits and even the paradoxes of such a concept when applied to a heterogeneous world of national spaces can thus be stipulated. The paradoxes and contradictions of policies, in this case EU ones, will then be stressed (section 1.4). Finally, we will show how the notion of “decent working time” suggests some reconfigurations of these policies (section 1.5)

    GYES, a multifibre spectrograph for the CFHT

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    We have chosen the name of GYES, one of the mythological giants with one hundred arms, offspring of Gaia and Uranus, for our instrument study of a multifibre spectrograph for the prime focus of the Canada-France-Hawaii Telescope. Such an instrument could provide an excellent ground-based complement for the Gaia mission and a northern complement to the HERMES project on the AAT. The CFHT is well known for providing a stable prime focus environment, with a large field of view, which has hosted several imaging instruments, but has never hosted a multifibre spectrograph. Building upon the experience gained at GEPI with FLAMES-Giraffe and X-Shooter, we are investigating the feasibility of a high multiplex spectrograph (about 500 fibres) over a field of view 1 degree in diameter. We are investigating an instrument with resolution in the range 15000 to 30000, which should provide accurate chemical abundances for stars down to 16th magnitude and radial velocities, accurate to 1 km/s for fainter stars. The study is led by GEPI-Observatoire de Paris with a contribution from Oxford for the study of the positioner. The financing for the study comes from INSU CSAA and Observatoire de Paris. The conceptual study will be delivered to CFHT for review by October 1st 2010.Comment: Contributed talk at the Gaia ELSA conference 2010, S\`evres 7-11 June 2010, to be published on the EAS Series, Editors: C. Turon, F. Arenou & F. Meynadie

    Deep learning denoising by dimension reduction: Application to the ORION-B line cubes

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    Context. The availability of large bandwidth receivers for millimeter radio telescopes allows the acquisition of position-position-frequency data cubes over a wide field of view and a broad frequency coverage. These cubes contain much information on the physical, chemical, and kinematical properties of the emitting gas. However, their large size coupled with inhomogenous signal-to-noise ratio (SNR) are major challenges for consistent analysis and interpretation.Aims. We search for a denoising method of the low SNR regions of the studied data cubes that would allow to recover the low SNR emission without distorting the signals with high SNR.Methods. We perform an in-depth data analysis of the 13 CO and C 17 O (1 -- 0) data cubes obtained as part of the ORION-B large program performed at the IRAM 30m telescope. We analyse the statistical properties of the noise and the evolution of the correlation of the signal in a given frequency channel with that of the adjacent channels. This allows us to propose significant improvements of typical autoassociative neural networks, often used to denoise hyperspectral Earth remote sensing data. Applying this method to the 13 CO (1 -- 0) cube, we compare the denoised data with those derived with the multiple Gaussian fitting algorithm ROHSA, considered as the state of the art procedure for data line cubes.Results. The nature of astronomical spectral data cubes is distinct from that of the hyperspectral data usually studied in the Earth remote sensing literature because the observed intensities become statistically independent beyond a short channel separation. This lack of redundancy in data has led us to adapt the method, notably by taking into account the sparsity of the signal along the spectral axis. The application of the proposed algorithm leads to an increase of the SNR in voxels with weak signal, while preserving the spectral shape of the data in high SNR voxels.Conclusions. The proposed algorithm that combines a detailed analysis of the noise statistics with an innovative autoencoder architecture is a promising path to denoise radio-astronomy line data cubes. In the future, exploring whether a better use of the spatial correlations of the noise may further improve the denoising performances seems a promising avenue. In addition

    Relations au travail, relations de travail

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    Relations au travail, relations de travail

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