Characteristics of epstein barr virus variants associated with gastric carcinoma in Southern Tunisia

<p>Abstract</p> <p>Backgroud</p> <p>EBV-associated Gastric Carcinoma (EBVaGC) has a distinct clinical features and its prevalence is variable worldwide.</p> <p>Results</p> <p>To determine the prevalence of EBVaGC in Tunisia, EBV-encoded small RNA (EBER) expression was assessed in 81 gastric carcinoma (GC) specimens. The nuclear EBER expression was detected in 12 out of 81 GC cases (14.81%) and concordance between the score range of EBER staining and the number of EBV DNA copies as estimate by QPCR is observed. On the other hand, we found that EBVaGC strongly correlated with age at diagnosis, and weakly with tumor differentiation and venous invasion.</p> <p>Furthermore, the EBVaGC specimens were subjected to determine the EBV DNA polymorphisms. Our results show a unique genetic profile of the EBV strains regarding the A and D types, the F prototype, the retention of <it>Xho</it>I restriction site and the 30 bp del-LMP1 variant. <b><it>According to our previous studies on nasopharyngeal carcinoma (NPC), we suggested that EBV strains associated to GC and NPC shared some similarities in Tunisian patients</it>.</b></p> <p>Conclusion</p> <p>The prevalence of EBVaGC is of 14.81% in the southern Tunisia and that common EBV strain are associated with both NPC and GC which are likely to differ from Asian strains. Our findings support therefore a certain geographical distribution of EBV strains which is not restricted to EBV-associated malignancies.</p

Compound Analytical Model Dedicated to the Prediction of the Features of Fractional-Slot PMSMs

The paper is aimed at a simple analytical approach to predict the no- and on-load features of fractional-slot permanent magnet synchronous machines (FSPMSMs). The proposed approach is based on the combination of: (i) a formulation of the no-load air gap flux density based on the resolution of the Maxwell equations, and (ii) the magnetic equivalent circuit- (MEC) of the stator. The resulting compound analytical model is iteratively solved using a Newton-Raphson algorithm where the stator MEC incorporates position-dependent magneto-motive force (MMF) sources yielded by the no-load air gap flux density-formulation along with those due to the armature magnetic reaction. Prior to do so, a comparison, based on the tradeoff accuracy/CPU time, of three stator MEC networks is carried out. Following the MEC selection, the proposed approach- is applied to three case studies which differ by their slot per pole and per phase number and by the permanent magnet arrangement, leading to the prediction of their no- and on-load features. The obtained analytical results are validated by finite element analysis

Multi-Phase Fractional-Slot PM Synchronous Machines with Enhanced Open-Circuit Fault-Tolerance: Viable Candidates for Automotive Applications

This paper deals with the winding arrangement of multi-phase fractional-slot permanent magnet (PM) synchronous machines (FSPMSMs), with emphasis on the enhancement of their open-circuit fault-tolerance capability. FSPMSMs are reputed by their attractive intrinsic fault-tolerance capability, which increases with the number of phases. Of particular interest is the open-circuit fault-tolerance capability, which could be significantly enhanced through the parallel connection of the coils or suitable combinations of the coils of each phase. Nevertheless, such an arrangement of the armature winding is applicable to a limited set of slot-pole combinations. The present work proposes a design approach that extends the slot-pole combinations to candidates that are characterized by a star of slots including three phasors per phase and per winding period. It has the merit of improving the tolerance against open-circuit faults along with an increase in the winding factor of multi-phase machines. Special attention is paid to characterization of the coil asymmetry required for the phase parallel arrangement. A case study, aimed at a finite element analysis (FEA)-based investigation of the open-circuit fault-tolerance of a five-phase FSPMSM, is treated in order to validate the analytical prediction

Approche de sélection d'architecture basée augmentation de désordre pour les Systèmes Collaboratifs Ubiquitaires

National audienceDans notre travail, nous nous intéressons a l'adaptation desSys emes Collaboratifs Ubiquitaires (SCU) aux changements de leur contexte, en choisissant la configuration architecturale la plus adéquate a la situation courante. Le framework "Framework for Adaptive Collaborative Ubiquitous Systems" (FACUS) [9] est l'un des frameworks intéressants qui assurent l'adaptation architecturale des SCU. FACUS est basé sur la sémantique et les grammaires de graphes afin de générer des configurations architecturales correctes par construction. Dans le contexte du framework FACUS, nous proposons une approche de sélection inspirée de la politique de sélection entropie, pour choisir la configuration architecturale la plus adéquate a la situation contextuelle de l'application. Notre approche prend en considération les changements dans la répartition des composants sur les dispositifs, entre la configuration architecturale courante (qui n'est plus adéquate au contexte courant) et une configuration architecturale candidatè a la sélection. Nous appliquons notre approche a un cas d'etude"SmartBuilding". Notre cas d'etude décrit la collaboration entre des capteurs et des actionneurs, et vise la réduction de la consommation de l'energie du bâtiment

Approche de sélection d'architecture basée augmentation de désordre pour les Systèmes Collaboratifs Ubiquitaires

National audienceDans notre travail, nous nous intéressons a l'adaptation desSys emes Collaboratifs Ubiquitaires (SCU) aux changements de leur contexte, en choisissant la configuration architecturale la plus adéquate a la situation courante. Le framework "Framework for Adaptive Collaborative Ubiquitous Systems" (FACUS) [9] est l'un des frameworks intéressants qui assurent l'adaptation architecturale des SCU. FACUS est basé sur la sémantique et les grammaires de graphes afin de générer des configurations architecturales correctes par construction. Dans le contexte du framework FACUS, nous proposons une approche de sélection inspirée de la politique de sélection entropie, pour choisir la configuration architecturale la plus adéquate a la situation contextuelle de l'application. Notre approche prend en considération les changements dans la répartition des composants sur les dispositifs, entre la configuration architecturale courante (qui n'est plus adéquate au contexte courant) et une configuration architecturale candidatè a la sélection. Nous appliquons notre approche a un cas d'etude"SmartBuilding". Notre cas d'etude décrit la collaboration entre des capteurs et des actionneurs, et vise la réduction de la consommation de l'energie du bâtiment