Cancer développé sur dilatation kystique de la voie biliaire: à propos d’un cas

Les auteurs rapportent un cas de dilatation kystique du cholédoque intra- pancréatique découvert chez une femme de 46 ans et compliqué d'un carcinome tubulo-papillaire n'envahissant pas le pancréas. Le traitement a consisté en une duodénopancréatectomie céphalique avec un curage ganglionnaire et anastomose hépatico-jéjunale; la survie était de 30 mois; les auteurs abordent les aspects radiologiques, anatomopathologiques, thérapeutiques et pronostiques de ces cancers développé sur dilatation kystique de la voie biliaire et discutent la place d'une radiothérapie complémentaire de la chirurgie susceptible d'améliorer la survie

Influence of the Biomass Gasification Processes on the Final Composition of Syngas

AbstractInterest in the technology of gasification has shown a number of ups and downs since its first appearance. It appears that interest in gasification research correlates closely with the relative cost and availability of liquid and gaseous fossil fuels. Gasification is a versatile thermo-chemical conversion process which produces a gas mixture of H2, CO and CH4 the proportions being determined by the use of air, oxygen or steam as oxidizer, with a concomitant range of heat values, low (4–6MJ/Nm3), medium (12–18MJ/Nm3) and high (40MJ/Nm3). A variety of biomass gasifiers have been developed. Differentiation is based on the means of supporting the biomass in the reactor vessel, the direction of flow of both the biomass and oxidant, and the way heat is supplied to the reactor. Gases formed by gasification are contaminated by some constituents such as particles, alkali metals, nitrogen components, tars, sulfurs and chlorides. The level of contamination varies, depending on the gasification process and the feedstock. Gas cleaning must be applied to prevent erosion, corrosion and environmental problems in downstream equipment. In this work, a global perspective about the producer gas final composition dependence, the so-called syngas, from the biomass, oxidizer, reactor type, temperature and pressure is given based on a literature benchmarking. This study shows that there are some discrepancies in the values given by various authors. This highlights the strong dependence of the syngas final composition from the biomass conditions, type of gasifier and pressure and temperature of the process. Thus, in order to make precise studies on the use of syngas it will be necessary to consider that its composition will be rather constant. The development of mathematical models for numerical simulation fully validated experimentally are strongly desirable and may be a very useful tool to determine the final composition of syngas by changes in initial conditions without laborious and expensive experimental tests

Very Short-TermPower Forecasting of High Concentrator Photovoltaic Power Facility by Implementing Artificial Neural Network

Concentrator photovoltaic (CPV) is used to obtain cheaper and more stable renewable energy. Methods which predict the energy production of a power system under specific circumstances are highly important to reach the goal of using this system as a part of a bigger one or of making it integrated with the grid. In this paper, the development of a model to predict the energy of a High CPV (HCPV) system using an Artificial Neural Network (ANN) is described. This system is located at the University of Rabat. The performed experiments show a quick prediction with encouraging results for a very short-term prediction horizon, considering the small amount of data available. These conclusions are based on the processes of obtaining the ANN models and detailed discussion of the results, which have been validated using real dat

The Changing Landscape for Stroke\ua0Prevention in AF: Findings From the GLORIA-AF Registry Phase 2

Background GLORIA-AF (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation) is a prospective, global registry program describing antithrombotic treatment patterns in patients with newly diagnosed nonvalvular atrial fibrillation at risk of stroke. Phase 2 began when dabigatran, the first non\u2013vitamin K antagonist oral anticoagulant (NOAC), became available. Objectives This study sought to describe phase 2 baseline data and compare these with the pre-NOAC era collected during phase 1. Methods During phase 2, 15,641 consenting patients were enrolled (November 2011 to December 2014); 15,092 were eligible. This pre-specified cross-sectional analysis describes eligible patients\u2019 baseline characteristics. Atrial fibrillation disease characteristics, medical outcomes, and concomitant diseases and medications were collected. Data were analyzed using descriptive statistics. Results Of the total patients, 45.5% were female; median age was 71 (interquartile range: 64, 78) years. Patients were from Europe (47.1%), North America (22.5%), Asia (20.3%), Latin America (6.0%), and the Middle East/Africa (4.0%). Most had high stroke risk (CHA2DS2-VASc [Congestive heart failure, Hypertension, Age  6575 years, Diabetes mellitus, previous Stroke, Vascular disease, Age 65 to 74 years, Sex category] score  652; 86.1%); 13.9% had moderate risk (CHA2DS2-VASc = 1). Overall, 79.9% received oral anticoagulants, of whom 47.6% received NOAC and 32.3% vitamin K antagonists (VKA); 12.1% received antiplatelet agents; 7.8% received no antithrombotic treatment. For comparison, the proportion of phase 1 patients (of N = 1,063 all eligible) prescribed VKA was 32.8%, acetylsalicylic acid 41.7%, and no therapy 20.2%. In Europe in phase 2, treatment with NOAC was more common than VKA (52.3% and 37.8%, respectively); 6.0% of patients received antiplatelet treatment; and 3.8% received no antithrombotic treatment. In North America, 52.1%, 26.2%, and 14.0% of patients received NOAC, VKA, and antiplatelet drugs, respectively; 7.5% received no antithrombotic treatment. NOAC use was less common in Asia (27.7%), where 27.5% of patients received VKA, 25.0% antiplatelet drugs, and 19.8% no antithrombotic treatment. Conclusions The baseline data from GLORIA-AF phase 2 demonstrate that in newly diagnosed nonvalvular atrial fibrillation patients, NOAC have been highly adopted into practice, becoming more frequently prescribed than VKA in Europe and North America. Worldwide, however, a large proportion of patients remain undertreated, particularly in Asia and North America. (Global Registry on Long-Term Oral Antithrombotic Treatment in Patients With Atrial Fibrillation [GLORIA-AF]; NCT01468701

On the alloying and strain effects of divacancy energy level in n-type Si<SUB>1 - x</SUB>Ge<SUB>x</SUB>

International audienceDeep level transient spectroscopy was used to investigate point defectsintroduced by room temperature He-ion irradiation in both fully strainedand partially relaxed phosphorous doped n-type Si1 -xGex films epitaxially grown on the Si (001) substrateby chemical vapor deposition. Two major point defects are identified asthe doubly negative charge state of the divacancy(V2=/-) and the V-P pair (E-center). Theactivation enthalpy (EH) of V2=/- wasinvestigated upon strain and alloying effects in order to quantify theirindividual impact. The deduced variation of activation enthalpyassociated with the sole strain effect in strained films is found todecrease linearly as a function of strain (tetragonal mismatch),corresponding to 56 meV/GPa regardless of the degree of strainrelaxation for 0 ? × ? 0.1. This result may suggest that while thestrain and alloying have an additive effect on the variation ofEH, may however have different physical origins

Univariate and Multivariate LSTM Models for One Step and Multistep PV Power Forecasting

The energy demand is increasing due to population growth and economic development. To satisfy this energy demand, the use of renewable energy is essential to face global warming and the depletion of fossil fuels. Photovoltaic energy is one of the renewable energy sources, widely used by several countries over the world. The integration of PV energy into the grid brings significant benefits to the economy and environment, however, high penetration of this energy also brings some challenges to the stability of the electrical grid, due to the intermittency of solar energy. To overcome this issue, the use of a forecasting system is one of the solutions to guarantee an effective integration of PV plants in the electrical grid. In this paper, a PV power ultra short term forecasting has been done by using univariate and multivariate LSTM models. Different combinations of input variables of the models and different timesteps forecasting were tested and compared. The main aim of this work is to study the influence of the different combinations of variables on the accuracy of the LSTM models for one-step forecasting and multistep forecasting and comparing the univariate and multivariate LSTM models with MLP and CNN models  . The results show that for one step forecasting, the use of a univariate model based on historical data of PV output power is sufficient to get accurate forecasting with 28.98W in MAE compared to multivariate models that can reach 35.39W. Meanwhile, for multistep forecasting, it is mandatory to use a multivariate model that has historical data of meteorological variables and PV output power in the input of LSTM model. Moreover, The LSTM model shows great accuracy compared to MLP and CNN especially in multistep PV power forecasting

On the alloying and strain effects of divacancy energy level in n

International audienceDeep level transient spectroscopy was used to investigate point defectsintroduced by room temperature He-ion irradiation in both fully strainedand partially relaxed phosphorous doped n-type Si1 -xGex films epitaxially grown on the Si (001) substrateby chemical vapor deposition. Two major point defects are identified asthe doubly negative charge state of the divacancy(V2=/-) and the V-P pair (E-center). Theactivation enthalpy (EH) of V2=/- wasinvestigated upon strain and alloying effects in order to quantify theirindividual impact. The deduced variation of activation enthalpyassociated with the sole strain effect in strained films is found todecrease linearly as a function of strain (tetragonal mismatch),corresponding to 56 meV/GPa regardless of the degree of strainrelaxation for 0 ? × ? 0.1. This result may suggest that while thestrain and alloying have an additive effect on the variation ofEH, may however have different physical origins

First principle calculation of the electronic and magnetic properties of Mn-doped 6H-SiC

The electronic and magnetic properties of 6H-SiC with Mn impurities have been calculated using GGA formalism. Various configurations of Mn sites were considered. It was found that 6H-SiC doped with Mn atoms possess a moment for both types of substitution. The Mn atom at Si site possesses larger magnetic moment than Mn atom at C site. The energy levels appearing in the band gap due to vacancies and due to Mn impurities are determined and the calculated densities of states (DOSs) are used to analyse the different value of the magnetic moments for different types of substitution. A model that explains the magnetic moment at Mn site is proposed