Liquid nitrogen cooling of monochromator crystals exposed to intense synchrotron radiation

Using insertion devices as intense light sources in the new, third generation storage rings leads to considerable heat load at the first optical element in the beamline. To minimize the thermal slope of these elements it is proposed to cool them cryogenically. In this article we present first tests of liquid nitrogen cooling of silicon and germanium crystals exposed to high intensity synchrotron radiation. The test were performed with white radiation from the HARWI wiggler at the Hamburger Synchrotronstrahlungslabor (HASYLAB). During the experiment the DORIS ring was running at 3.7 GeV electron energy and up to ∼100 mA current. The maximum power at the sample surface was ∼100 W with power densities of up to 0.4 W/mm2. The minimization of thermal deteriorations by cryogenic cooling is demonstrated unambiguously by optical interferometry

Apport de l'usinage assiste laser en passe de finition

SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : AR 16715 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueMinistere de l'Enseignement Superieur et de la Recherche, 75 - Paris (France)FRFranc

Etude de l'usinage par faisceau laser continu et impulsionnel (enlevement de matiere sans outil de coupe)

Available from INIST (FR), Document Supply Service, under shelf-number : AR 16241 / INIST-CNRS - Institut de l'Information Scientifique et TechniqueSIGLEMinistere de l'Enseignement Superieur et de la Recherche, 75 - Paris (France)FRFranc

A Novel 8-Predictors Signature to Predict Complicated Disease Course in Pediatric-onset Crohn’s Disease: A Population-based Study

International audienceBackground The identification of patients at high risk of a disabling disease course would be invaluable in guiding initial therapy in Crohn’s disease (CD). Our objective was to evaluate a combination of clinical, serological, and genetic factors to predict complicated disease course in pediatric-onset CD. Methods Data for pediatric-onset CD patients, diagnosed before 17 years of age between 1988 and 2004 and followed more than 5 years, were extracted from the population-based EPIMAD registry. The main outcome was defined by the occurrence of complicated behavior (stricturing or penetrating) and/or intestinal resection within the 5 years following diagnosis. Lasso logistic regression models were used to build a predictive model based on clinical data at diagnosis, serological data (ASCA, pANCA, anti-OmpC, anti-Cbir1, anti-Fla2, anti-Flax), and 369 candidate single nucleotide polymorphisms. Results In total, 156 children with an inflammatory (B1) disease at diagnosis were included. Among them, 35% (n = 54) progressed to a complicated behavior or an intestinal resection within the 5 years following diagnosis. The best predictive model (PREDICT-EPIMAD) included the location at diagnosis, pANCA, and 6 single nucleotide polymorphisms. This model showed good discrimination and good calibration, with an area under the curve of 0.80 after correction for optimism bias (sensitivity, 79%, specificity, 74%, positive predictive value, 61%, negative predictive value, 87%). Decision curve analysis confirmed the clinical utility of the model. Conclusions A combination of clinical, serotypic, and genotypic variables can predict disease progression in this population-based pediatric-onset CD cohort. Independent validation is needed before it can be used in clinical practice