260 research outputs found

    Extraction des paramètres électriques sur les transistors CMOS de technologies avancées

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    Session POSTER 3L'extraction des paramètres électriques est un point clef pour la compréhension des phénomènes physiques qui régissent le fonctionnement des transistors. La réduction des dimensions impose aujourd'hui d'adapter les méthodes d'extraction préexistantes aux nouvelles générations de dispositifs. Ainsi, nous montrons comment – à partir de courbe courant-tension ID(VG) et capacité-tension Cgc(VG) – il est possible d'extraire avec précision la mobilité à bas champ (μ0) et les résistances séries (RSD) sur des transistors ultra-courts

    Nanomaterials risk assessment in the process industries : evaluation and application of current control banding methods

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    International audienceNanotechnology is a rapidly growing field and industrial developments are more and more challenged by potential health and safety risks pertaining to manufactured nanomaterials. This matter is far from being solved due to the current lack of reliable data addressing occupational safety as well as environmental field. In this context, the Control Banding (CB) approach appears particularly interesting to assess ESH risks associated to nanomaterials. Our study focuses more specifically on four CB methods which have been analysed in order to highlight their a priori limits and evaluate their effectiveness for perform risk assessment in the industry. Our study concludes that too conservative frameworks, multiplicity of factors and complex algorithm are critical elements that can limit the effectiveness of the tools for risk assessment in the industry

    A New Technique to Extract the Gate Bias Dependent S/D Series Resistance of Sub-100nm MOSFETs

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    International audienceIn this study, a new technique to extract the S/D series resistance (Rsd) from the total resistance versus transconductance gain plot Rtot(1/beta) is proposed. The technique only requires the measurement of Id(Vgs)|Vgt and beta, allowing fast and statistical analysis in an industrial context. Unlike the usual Rtot(L)-based techniques, it has the advantage of being insensitive to the channel length and mobility variations and finally enables to extract very accurate values for Rsd(Vgs) and the effective mobility reduction factor mueff(Vgt)/mueff(0)

    PEPOP: Computational design of immunogenic peptides

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    © 2008 Moreau et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licens

    Electronic Sensors for Assessing Interactions between Healthcare Workers and Patients under Airborne Precautions

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    International audienceBackground: Direct observation has been widely used to assess interactions between healthcare workers (HCWs) and patients but is time-consuming and feasible only over short periods. We used a Radio Frequency Identification Device (RFID) system to automatically measure HCW-patient interactions. Methods: We equipped 50 patient rooms with fixed sensors and 111 HCW volunteers with mobile sensors in two clinical wards of two hospitals. For 3 months, we recorded all interactions between HCWs and 54 patients under airborne precautions for suspected (n=40) or confirmed (n=14) tuberculosis. Number and duration of HCW entries into patient rooms were collected daily. Concomitantly, we directly observed room entries and interviewed HCWs to evaluate their self- perception of the number and duration of contacts with tuberculosis patients. Results: After signal reconstruction, 5490 interactions were recorded between 82 HCWs and 54 tuberculosis patients during 404 days of airborne isolation. Median (interquartile range) interaction duration was 2.1 (0.8-4.4) min overall, 2.3 (0.8-5.0) in the mornings, 1.8 (0.8-3.7) in the afternoons, and 2.0 (0.7-4.3) at night (P,1024). Number of interactions/day/HCW was 3.0 (1.0-6.0) and total daily duration was 7.6 (2.4-22.5) min. Durations estimated from 28 direct observations and 26 interviews were not significantly different from those recorded by the network. Conclusions: The RFID was well accepted by HCWs. This original technique holds promise for accurately and continuously measuring interactions between HCWs and patients, as a less resource-consuming substitute for direct observation. The results could be used to model the transmission of significant pathogens. HCW perceptions of interactions with patients accurately reflected reality
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