280 research outputs found

    Patterns of Localisation in the French Manufacturing and Service Industries: a Distance-Based Approach

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    We explore the patterns of localisation in the French manufacturing and service industries using the distance-based approach developed by Duranton and Overman (2005). The idea of this methodology is to consider the distribution of distances between pairs of plants in an industry and to compare it with that of a hypothetical industry with the same number of plants which are randomly distributed conditional on the distribution of aggregate activity. Relying on the same industrial classification as the one used by these authors, we show that their main conclusions remain valid in the case of French manufacturing industries. First, fewer manufacturing industries are found to be globally localised than usually found with discrete indices (Ellison-Glaeser, Maurel-SĂ©dillot). Second, localisation takes place at small distance (localisation, K-density, spatial statistics, point-pattern processes

    Microsimulating the labour market: a prototype

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    Several tools are routinely used to predict or analyze the impact of employment policies: macroeconometric models, small-scale GE models, ex post evaluations based either on macroeconomic time series or on microeconomic data. We present here a new instrument whose methodology is intermediate between traditional microsimulation and the more recent agent-based approach to economic modelling. The prototype that we have built simulates job creations and destructions, labour force ageing and renewal, the dynamic matching process between jobs and individuals, and a basic process of wage negotiation for insiders. These processes take place under constraints of profitability and global demand by types of goods/skills. The model has been calibrated to reproduce some stylized characteristics of French unemployment and private salaried employment. It is then applied to the simulation of a certain number of shocks: a demographic shock, a shock on the minimum wage, or changes in employers social security contributions. The model is able to produce results that are comparable to those provided by existing tools, but it has a stronger potential for analysing detailed consequences of employment policies. A more comprehensive version of such a model would be a useful addition to the toolkit that is currently available to labour market analysts.ACE models, microsimulation, labour market, employers contributions

    Analytic continuation of residue currents

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    Let XX be a complex manifold and f\colon X\to \C^p a holomorphic mapping defining a complete intersection. We prove that the iterated Mellin transform of the residue integral associated to ff has an analytic continuation to a neighborhood of the origin in \C^p

    The New Version of the Model MZE, Macroeconometric Model for the Eurozone

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    This paper presents the main improvements carried out to the macroeconometric model MZE since its creation in 2003. We have back-calculated the series over the period 1980-1995, in order to make the model more stable. To our knowledge, this paper is the first application of Kllians (1998) method to estimate coefficients and centered confidence intervals for an operational macroeconometric model. The new coefficients enable to get less inflationary responses to macroeconomic shocks than the previous version of MZE. The study is more nuanced and rigorous thanks to the confidence intervals around the main scenarios. It is thus possible to check the significance of the results at any horizon. At last, the new version of MZE enables to find conventional responses to international shocks, like the inflationary effect of a rise in oil prices or the delayed impact of a depreciation of the euro on the improvement of the trade balance.Macroeconometric modelling, Forecasting, Confidence interval, Bootstrap

    Differential Forms on Log Canonical Spaces

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    The present paper is concerned with differential forms on log canonical varieties. It is shown that any p-form defined on the smooth locus of a variety with canonical or klt singularities extends regularly to any resolution of singularities. In fact, a much more general theorem for log canonical pairs is established. The proof relies on vanishing theorems for log canonical varieties and on methods of the minimal model program. In addition, a theory of differential forms on dlt pairs is developed. It is shown that many of the fundamental theorems and techniques known for sheaves of logarithmic differentials on smooth varieties also hold in the dlt setting. Immediate applications include the existence of a pull-back map for reflexive differentials, generalisations of Bogomolov-Sommese type vanishing results, and a positive answer to the Lipman-Zariski conjecture for klt spaces.Comment: 72 pages, 6 figures. A shortened version of this paper has appeared in Publications math\'ematiques de l'IH\'ES. The final publication is available at http://www.springerlink.co

    Protocol for evaluating a workplace intervention within the framework of consultations for suffering at work in French-speaking Switzerland.

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    Psychosocial suffering involves diverse human, social and economic costs. Some 34.4% of workers in Switzerland report chronic stress related to their jobs. Medical consultations for suffering at work aim to maintain-or renew-patients' abilities to make decisions and act following a diagnosis of psychological suffering related to their work; they also aim to help workers return to their workstations or remain there. Workplace interventions by consulting occupational physicians can go beyond the subjective issues: they can be offered to employees, in anticipation of a return to work when this appears feasible from the outset. To qualitatively evaluate perceptions of workplace interventions and identify their effects by collecting the verbatim statements of employees and their employers. Qualitative single-centre study of workplace interventions conducted by the Consultation Service for Suffering at Work's occupational physicians for patients seen between January 2015 to December 2017. Nineteen workplace interventions took place, out of 184 different consultations. The verbatim statements of employees and their employers will be collected over a variable timeframe, using semi-structured face-to-face interviews. These will then be recorded, transcribed and analysed. Fourteen patients refused the workplace intervention. Their professional path will be collected for comparison and exploratory purposes. This exploratory research project will provide a better understanding of the issues surrounding work-related psychological suffering and of which strategies support patients most effectively

    Cement degradation in CO2 storage sites: a review on potential applications of nanomaterials

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    © 2018 The Author(s) Carbon capture and sequestration (CCS) has been employed to reduce global warming, which is one of the critical environmental issues gained the attention of scientific and industrial communities worldwide. Once implemented successfully, CCS can store at least 5 billion tons of CO2per year as an effective and technologically safe method. However, there have been a few issues raised in recent years, indicating the potential leakages paths created during and after injection. One of the major issues might be the chemical interaction of supercritical CO2with the cement, which may lead to the partial or total loss of the cement sheath. There have been many approaches presented to improve the physical and mechanical properties of the cement against CO2attack such as changing the water-to-cement ratio, employing pozzolanic materials, and considering non-Portland cements. However, a limited success has been reported to the application of these approaches once implemented in a real-field condition. To date, only a few studies reported the application of nanoparticles as sophisticated additives which can reinforce oil well cements. This paper provides a review on the possible application of nanomaterials in the cement industry where physical and mechanical characteristics of the cement can be modified to have a better resistance against corrosive environments such as CO2storage sites. The results obtained indicated that adding 0.5 wt% of Carbon NanoTubes (CNTs) and NanoGlass Flakes (NGFs) can reinforce the thermal stability and coating characteristics of the cement which are required to increase the chance of survival in a CO2sequestrated site. Nanosilica can also be a good choice and added to the cement by as much as 3.0 wt% to improve pozzolanic reactivity and thermal stability as per the reports of recent studies

    Results and achievements of the ALLIANCE Project: New network solutions for 5G and beyond

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    Leaving the current 4th generation of mobile communications behind, 5G will represent a disruptive paradigm shift integrating 5G Radio Access Networks (RANs), ultra-high-capacity access/metro/core optical networks, and intra-datacentre (DC) network and computational resources into a single converged 5G network infrastructure. The present paper overviews the main achievements obtained in the ALLIANCE project. This project ambitiously aims at architecting a converged 5G-enabled network infrastructure satisfying those needs to effectively realise the envisioned upcoming Digital Society. In particular, we present two networking solutions for 5G and beyond 5G (B5G), such as Software Defined Networking/Network Function Virtualisation (SDN/NFV) on top of an ultra-high-capacity spatially and spectrally flexible all-optical network infrastructure, and the clean-slate Recursive Inter-Network Architecture (RINA) over packet networks, including access, metro, core and DC segments. The common umbrella of all these solutions is the Knowledge-Defined Networking (KDN)-based orchestration layer which, by implementing Artificial Intelligence (AI) techniques, enables an optimal end-to-end service provisioning. Finally, the cross-layer manager of the ALLIANCE architecture includes two novel elements, namely the monitoring element providing network and user data in real time to the KDN, and the blockchain-based trust element in charge of exchanging reliable and confident information with external domains.This work has been partially funded by the Spanish Ministry of Economy and Competitiveness under contract FEDER TEC2017-90034-C2 (ALLIANCE project) and by the Generalitat de Catalunya under contract 2017SGR-1037 and 2017SGR-605.Peer ReviewedPostprint (published version

    A revised method for estimating hepatitis B virus transfusion residual risk based on antibody to hepatitis B core antigen incident cases

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    BACKGROUND: To take into account the transient nature of hepatitis B virus (HBV) antigenemia, the calculation of HBV residual risk (RR), based on the incidence/window period model, is adjusted by a correction factor that adds uncertainty to the RR estimates. STUDY DESIGN AND METHODS: This new method to estimate the RR for HBV is a weighted sum of the RR derived from hepatitis B surface antigen (HBsAg) incident cases and the one derived from antibody hepatitis B core antigen (HBc) incident cases. An anti-HBc incident case was defined as a donation from a blood donor who had made at least one anti-HBc–negative donation followed by a donation that was found positive with two different assays within a 3-year period and positive for at least one of the following markers: 1) antibody to hepatitis B e antigen or hepatitis B e antigen, 2) anti-HBc immunoglobulin M, 3) HBV DNA, 4) hepatitis B surface antibody without HBV vaccination history, or 5) HBV DNA retrospectively found in the previous donation. Five overlapping 3-year study periods between 2000 and 2006 were analyzed. RESULTS: The HBV RR estimated with the classical method ranged from 1.51 (2000-2002) to 0.69 per million donations in 2004 through 2006 with a decrease in 2002 through 2004 due to only two HBsAg incident cases reported in this period. By applying the revised model, the HBV RR ranged from 1.06 (2000-2002) to 0.49 per million donations (2004-2006), with a regular decrease. CONCLUSION: The new presented model provides HBV RR estimates that do not statistically differ from those obtained with the classical model; however, it provides more accurate data, especially in low endemic areas where the HBsAg incidence is low
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