Validation of the motivation scale towards Health-Oriented physical activity (EMAPS) in Spanish Population

The aim of the present study was to examine the psychometric properties of the motivation scale towards health-oriented physical activity (EMAPS) in the Spanish Population. A sample of 808 participants (Mage = 33.90; SD = 12.91; 366 men and 440 women), participated to ensure the structural, methodological, and external correlates of EMAPS scale validation. Results of the structural stage of analyses confirmed 6 dimensions of EMAPS (i.e., intrinsic motivation, integrated regulation, identified regulation, introjected regulation, external regulation and amotivation). In conclusion, results provided evidence for the reliability and validity of the Spanish version of the EMAPS scores. Thus, this instrument may serve to provide a measure of the motivation towards health-oriented physical activity purposes in the Spanish population

How to anticipate the level of activity of a sustainable collaborative network: the case of urban freight delivery through logistics platforms

International audienceIn this paper, we elaborate a methodology to study a particular case of collaborative network: city logistics. We identify that many solutions for urban logistics are, most of time, badly evaluated. Indeed, the theory often predicts a positive effect but the reality is most of time counterbalanced. We tried to fill this gap by making use of innovative methods. To do so, we mobilize several domains of knowledge: operational research, game theory and transportation studies on real cases. We suggest a solution to anticipate the level of activity of an Urban Consolidation Center and determine the condition under which it generates benefit for a carrier using or not, the collaborative network. We present the result obtained by application of our method on the real case of the city of Saint-Etienne

Simulation électromécanique 3D d'un conducteur 1+6 avec prise en compte des résistances de contact inter-brins

Dans cet article, nous proposons une méthode d'analyse par éléments finis 3D, pour prédire le comportement électrique d'un conducteur (1+6). La performance d'un conducteur dépend de la nature du matériau, de son état métallurgique mais aussi de la résistance électrique des zones de contact inter-fils. Dans ce travail, une première analyse mécanique permet de reproduire le processus de câblage pour déterminer les déformations élasto-plastiques des fils, la forme et les forces de pressions dans les interfaces de contact. Une seconde analyse électrique est menée pour déterminer la résistance électrique du conducteur déformé. La résistance de contact tangentielle et radiale est alors prise en compte. </p

Dependence of the Contact Resistance on the Design of Stranded Conductors

During the manufacturing process multi-strand conductors are subject to compressive force and rotation moments. The current distribution in the multi-strand conductors is not uniform and is controlled by the transverse resistivity. This is mainly determined by the contact resistance at the strand crossovers and inter-strand contact resistance. The surface layer properties, and in particular the crystalline structure and degree of oxidation, are key parameters in determining the transverse resistivity. The experimental set-ups made it possible to find the dependence of contact resistivity as a function of continuous working stresses and cable design. A study based on measurements and numerical simulation is made to identify the contact resistivity functions

Modélisation numérique de mise en forme par tréfilage

La modélisation numérique de ce procédé de fabrication permet d'étudier la faisabilité du processus ainsi que la prédiction des défauts qu'il peut générer. Elle prend en compte différentes non linéarités (élastoplastique, contacts), les caractéristiques des configurations intermédiaires et finales du produit (trajectoires des points matériels, répartition des déformations et contraintes résiduelles) et les sollicitations et conditions géométriques. Les paramètres du modèle sont identifiés à partir d'essais de caractérisation sur une machine de tréfilage. Ce modèle est implanté dans un code EF développé pour simuler l'écoulement du fil à travers la filière. Des exemples numériques sont présentés pour différentes géométries de filière de tréfilage. Des éléments de contact sont utilisés pour modéliser le frottement fil – filière. L'analyse des résultats montre, en considérant l'effet d'écrouissage, l'influence de la géométrie de la filière sur la distribution de contraintes et sur la qualité du fil. Les résultats obtenus sont en concordance avec les essais expérimentaux

Fully Coupled Body Force–Engine Performance Methodology for Boundary Layer Ingestion

Because of their potential reductions of fuel consumption, disruptive propulsion concepts such as boundary layer ingestion have lately earned the attention of the aerospace community. Because of the increased level of interactions brought by the tight airframe–propulsor integration, an accurate assessment of this benefit requires a detailed study of the engine behavior from both an aerodynamics and an overall performance standpoint. In this context, this Paper presents a fully coupled methodology that integrates a zero-dimensional thermodynamic cycle analysis of the core and a three-dimensional body force representation of the fan stage into a single numerical computation. This approach allows the efficient simulation of fan–distortion interactions and engine overall performance in terms of accuracy vs computational cost tradeoff, making it well suited for conducting full aircraft–engine computational fluid dynamics calculations. The coupling is demonstrated in the assessment of boundary layer ingestion impacts on the small DGEN380 turbofan. Results provide a quantification of such impacts on fan efficiency, engine power demand, thrust specific fuel consumption, flow distortion transfer, and fan stage aeromechanical response, for different engine net thrust settings

A Machine Learning Based Body Force Model for Analysis of Fan-Airframe Aerodynamic Interactions

Body force modeling is a numerical strategy that allows an accurate representation of the aerodynamics of turbomachinery blade rows at a reduced computational cost, making it suitable for predicting fan-airframe aerodynamic interactions in boundary layer ingestion (BLI) propulsive architectures. This paper focuses on a new approach for building the body force representation using a machine learning technique, rather than analytically modeling the effects of the blades in the flow. This methodology is developed and assessed in a distorted inflow case representative of a BLI configuration and compared to a full annulus unsteady computation

Preliminary definitions for the sonographic features of synovitis in children

Objectives Musculoskeletal ultrasonography (US) has the potential to be an important tool in the assessment of disease activity in childhood arthritides. To assess pathology, clear definitions for synovitis need to be developed first. The aim of this study was to develop and validate these definitions through an international consensus process. Methods The decision on which US techniques to use, the components to be included in the definitions as well as the final wording were developed by 31 ultrasound experts in a consensus process. A Likert scale of 1-5 with 1 indicating complete disagreement and 5 complete agreement was used. A minimum of 80% of the experts scoring 4 or 5 was required for final approval. The definitions were then validated on 120 standardized US images of the wrist, MCP and tibiotalar joints displaying various degrees of synovitis at various ages. Results B-Mode and Doppler should be used for assessing synovitis in children. A US definition of the various components (i.e. synovial hypertrophy, effusion and Doppler signal within the synovium) was developed. The definition was validated on still images with a median of 89% (range 80-100) of participants scoring it as 4 or 5 on a Likert scale. Conclusions US definitions of synovitis and its elementary components covering the entire pediatric age range were successfully developed through a Delphi process and validated in a web-based still images exercise. These results provide the basis for the standardized US assessment of synovitis in clinical practice and research

Multiplatform genome-wide identification and modeling of functional human estrogen receptor binding sites

BACKGROUND: Transcription factor binding sites (TFBS) impart specificity to cellular transcriptional responses and have largely been defined by consensus motifs derived from a handful of validated sites. The low specificity of the computational predictions of TFBSs has been attributed to ubiquity of the motifs and the relaxed sequence requirements for binding. We posited that the inadequacy is due to limited input of empirically verified sites, and demonstrated a multiplatform approach to constructing a robust model. RESULTS: Using the TFBS for the estrogen receptor (ER)α (estrogen response element [ERE]) as a model system, we extracted EREs from multiple molecular and genomic platforms whose binding to ERα has been experimentally confirmed or rejected. In silico analyses revealed significant sequence information flanking the standard binding consensus, discriminating ERE-like sequences that bind ERα from those that are nonbinders. We extended the ERE consensus by three bases, bearing a terminal G at the third position 3' and an initiator C at the third position 5', which were further validated using surface plasmon resonance spectroscopy. Our functional human ERE prediction algorithm (h-ERE) outperformed existing predictive algorithms and produced fewer than 5% false negatives upon experimental validation. CONCLUSION: Building upon a larger experimentally validated ERE set, the h-ERE algorithm is able to demarcate better the universe of ERE-like sequences that are potential ER binders. Only 14% of the predicted optimal binding sites were utilized under the experimental conditions employed, pointing to other selective criteria not related to EREs. Other factors, in addition to primary nucleotide sequence, will ultimately determine binding site selection