724 research outputs found
Thulium and ytterbium-doped titanium oxide thin films deposited by ultrasonic spray pyrolysis
Thin films of thulium and ytterbium-doped titanium oxide were grown by
metal-organic spray pyrolysis deposition from titanium(IV)oxide
bis(acetylacetonate), thulium(III) tris(2,2,6,6-tetramethyl-3,5-heptanedionate)
and ytterbium(III) tris(acetylacetonate). Deposition temperatures have been
investigated from 300{\deg}C to 600{\deg}C. Films have been studied regarding
their crystallity and doping quality. Structural and composition
characterisations of TiO2:Tm,Yb were performed by electron microprobe, X-ray
diffraction and Fourier transform infrared spectroscopy. The deposition rate
can reach 0.8 \mum/h. The anatase phase of TiO2 was obtained after synthesis at
400{\deg}C or higher. Organic contamination at low deposition temperature is
eliminated by annealing treatments.Comment: 6 pages, 6 figure
Location of the Energy Levels of the Rare-Earth Ion in BaF2 and CdF2
The location of the energy levels of rare-earth (RE) elements in the energy
band diagram of BaF2 and CdF2 crystals is determined. The role of RE3+ and RE2+
ions in the capture of charge carriers, luminescence, and the formation of
radiation defects is evaluated. It is shown that the substantial difference in
the luminescence properties of BaF2:RE and CdF2:RE is associated with the
location of the excited energy levels in the band diagram of the crystals
Comment passer d'un modÚle hydrologique à un systÚme de prévision des crues? Ecueils liés à la structure des modÚles et aux échelles d'espace et de temps
Les modÚles hydrologiques Pluie Débit sont des outils trÚs utiles pour la prévision des crues. à l'heure actuelle, il n'est pas possible d'utiliser directement les modÚles de simulation pour effectuer une bonne prévision. Nous explorons ici les différences entre modÚles de simulation et modÚles de prévision. Puis nous examinons l'importance relative des informations apportées au modÚle : dans le passé, les forçages climatiques et les derniÚres observations de débit ; dans le futur, les prévisions de précipitations. La question des échelles spatiales est ensuite abordée et les limites d'une approche globale sont discutées dans une perspective opérationnelle. / Rainfall Runoff models are very useful tools for flood forecasting. As of today, the direct use of simulation models is not possible to get accurate predictions especially when it concerns short-term forecasting. In this paper, we explore the main differences between simulation and forecasting models. Then we assess the relative importance of every information provided to the model: the past climatic forcing and the last observed discharges; the future precipitation scenarios. Spatial scales are also examined and the limits of a global forecasting approach for operational purposes are discussed
PossibilitĂ©s d'amĂ©lioration des conditions de vĂȘlage par sĂ©lection. I. â Technique de mesure de l'ouverture pelvienne des bovins
International audienc
Development and exploitation of a controlled vocabulary in support of climate modelling
There are three key components for developing a metadata system: a container structure laying out the key semantic issues of interest and their relationships; an extensible controlled vocabulary providing possible content; and tools to create and manipulate that content. While metadata systems must allow users to enter their own information, the use of a controlled vocabulary both imposes consistency of definition and ensures comparability of the objects described. Here we describe the controlled vocabulary (CV) and metadata creation tool built by the METAFOR project for use in the context of describing the climate models, simulations and experiments of the fifth Coupled Model Intercomparison Project (CMIP5). The CV and resulting tool chain introduced here is designed for extensibility and reuse and should find applicability in many more projects
Specific expression of heme oxygenase-1 by myeloid cells modulates renal ischemia-reperfusion injury
This work was presented in abstract form at the 17th Congress of the European Society for Organ Transplantation (ESOT) in Brussels, Belgium (Brief Oral Presentation, BOS04 â Ischemia, Reperfusion, Metabolism and Aging, abstract N°BO33; 13â16 September 2015) and at the 16th Congress of the European Association of Urology (EAU) in Munich, Germany (Poster Session 48, Kidney Transplant: From Bench to clinical practice, abstract n°603; 11â15 March 2016).Renal ischemia-reperfusion injury (IRI) is a major risk factor for delayed graft function in renal transplantation. Compelling evidence exists that the stress-responsive enzyme, heme oxygenase-1 (HO-1) mediates protection against IRI. However, the role of myeloid HO-1 during IRI remains poorly characterized. Mice with myeloid-restricted deletion of HO-1 (HO-1(M-KO)), littermate (LT), and wild-type (WT) mice were subjected to renal IRI or sham procedures and sacrificed after 24âhours or 7 days. In comparison to LT, HO-1(M-KO) exhibited significant renal histological damage, pro-inflammatory responses and oxidative stress 24âhours after reperfusion. HO-1(M-KO) mice also displayed impaired tubular repair and increased renal fibrosis 7 days after IRI. In WT mice, HO-1 induction with hemin specifically upregulated HO-1 within the CD11b(+) F4/80(lo) subset of the renal myeloid cells. Prior administration of hemin to renal IRI was associated with significant increase of the renal HO-1(+) CD11b(+) F4/80(lo) myeloid cells in comparison to control mice. In contrast, this hemin-mediated protection was abolished in HO-1(M-KO) mice. In conclusion, myeloid HO-1 appears as a critical protective pathway against renal IRI and could be an interesting therapeutic target in renal transplantation.Fonds de la Recherche Scientifique MĂ©dicale; Fonds Erasme pour la Recherche MĂ©dicale; SociĂ©tĂ© Belge dâUrologie.info:eu-repo/semantics/publishedVersio
Prognostic evaluation in patients with advanced cancer in the last months of life:ESMO Clinical Practice Guideline
: âą This ESMO Clinical Practice Guideline provides key recommendations for using prognostic estimates in advanced cancer. âą The guideline covers recommendations for patients with cancer and an expected survival of months or less. âą An algorithm for use of clinical predictions, prognostic factors and multivariable risk prediction models is presented. âą The author group encompasses a multidisciplinary group of experts from different institutions in Europe, USA and Asia. âą Recommendations are based on available scientific data and the authorsâ collective expert opinion
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