Sine-skewed toroidal distributions and their application in protein bioinformatics

In the bioinformatics field, there has been a growing interest in modelling dihedral angles of amino acids by viewing them as data on the torus. This has motivated, over the past years, new proposals of distributions on the bivariate torus. The main drawback of most of these models is that the related densities are (pointwise) symmetric, despite the fact that the data usually present asymmetric patterns. This motivates the need to find a new way of constructing asymmetric toroidal distributions starting from a symmetric distribution. We tackle this problem in this paper by introducing the sine-skewed toroidal distributions. The general properties of the new models are derived. Based on the initial symmetric model, explicit expressions for the shape parameters are obtained, a simple algorithm for generating random numbers is provided, and asymptotic results for the maximum likelihood estimators are established. An important feature of our construction is that no normalizing constant needs to be calculated, leading to more flexible distributions without increasing the complexity of the models. The benefit of employing these new sine-skewed distributions is shown on the basis of protein data, where, in general, the new models outperform their symmetric antecedents

PIACERE: Programming trustworthy Infrastructure As Code in a Secure Framework

Infrastructure-as-Code (IaC), enables the automation of several deployment, configuration and management tasks. IaC has a lot of potential in cloud computing as it results in a significant saving of time when an application needs to be redeployed on a different set of resources, even running on different infrastructures. Unfortunately, IaC still suffers from some important issues, such as the large variety of competing tools or the strong orientation toward the cloud, leaving aside e.g. the edge. Also, trustworthiness and security aspects of are often left for the end of the cycle, where errors and vulnerabilities are often too late or too expensive to correct. We present here the PIACERE project, which provides tools, methods and techniques for the Infrastructure-as-Code approach. The project will make the creation of IaC more accessible to designers, developers and operators, increasing the quality, security, trustworthiness and evolvability of infrastructural code while ensuring its business continuity by providing self-healing mechanisms anticipation of failures and violations.This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 101000162

An automatic generation of metro-like maps to display flight routes for air traffic controllers: structure and color optimization

International audienceAircraft must follow strict Air Traffic Control (ATC) rules. One of these rules is that aircraft have to fly over pre-defined Flight Routes (FR). Current ATC visualizations do not display FRs because they are numerous and run into each other, and thus spoil the visualization. The schematic views for metro maps are used to maximize the transmission of relevant information (lines, metro stops) of network visualization. In this paper, we will focus on two different issues. First, we show how we transposed mathematical constraints used to produce metro maps into the specific field of ATC. The view produced is a context compatible, 2D picture of a schematic maps view for Air Traffic Control. Second, we propose to investigate the generation and placement of colors to be assigned to lines of the network. The first step is to find as many colors as lines of the network. These colors must be perceptually as distinct as possible, and available in the vocabulary of colors. The second step is to solve the NP-complete problem of the optimal assignment of these colors so that close lines have the most perceptively distant color. Finally, we assess the map produced through experimentation to validate its quality

Respuesta láctica de atletas de élite ante un entrenamiento específico para la prueba de 3.000 metros lisos

This paper analyses the lactic behaviour of four elite athletes (with personal bests for the 3,000 metres of between 7' 38'' and 8' 08'') in response to an average extensive interval training stimulus: 4 × (4 × 400) (102%, Recovery: 1' and 3') + 1 × 400 (maximum intensity), and in response to 3,000 metres races. The study firstly uses descriptive statistics to show what the lactic response of the athletes is to these stimuli, and secondly non-parametric inferential analysis to explore the suitability of this training for improving lactic endurance in 3,000 metres races.El presente trabajo analiza el comportamiento láctico de cuatro atletas de élite (con marcas en 3.000 metros entre 7'38'' y 8' 08'') ante un estímulo de entrenamiento interválico extensivo medio: 4 × (4 × 400) (102 %, Recuperación: 1' y 3') + 1 × 400 (máxima intensidad), y ante la prueba de competición de 3.000 metros lisos. El estudio evidencia, por una parte y mediante estadística descriptiva, cuál es la respuesta láctica de los atletas a estos estímulos y, por otro lado y mediante análisis inferencial no paramétrico, la idoneidad de este entrenamiento a la hora de mejorar la resistencia láctica en la prueba de 3.000 metros lisos

Towards model-driven engineering for mixed-criticality systems: multiPARTES approach

Mixed criticality systems emerges as a suitable solution for dealing with the complexity, performance and costs of future embedded and dependable systems. However, this paradigm adds additional complexity to their development. This paper proposes an approach for dealing with this scenario that relies on hardware virtualization and Model-Driven Engineering (MDE). Hardware virtualization ensures isolation between subsystems with different criticality levels. MDE is intended to bridge the gap between design issues and partitioning concerns. MDE tooling will enhance the functional models by annotating partitioning and extra-functional properties. System partitioning and subsystems allocation will be generated with a high degree of automation. System configuration will be validated for ensuring that the resources assigned to a partition are sufficient for executing the allocated software components and that time requirements are met

Gestion efficace des polygones complexes pour la radiosité

Colloque sans acte à diffusion restreinte.National audienceDans cet article, nous présentons une nouvelle méthode pour effectuer les calculs de radiosité sur des facettes polygonales complexes, telles que des polygones concaves ou même troués. De tels polygones sont fréquemment présents dans les scènes issues de modeleurs géométriques commerciaux. Nous présentons également une méthode de subdivision qui permet d'améliorer le rapport longueur/largeur des polygones au fur et à mesure de leurs subdivisions. Ces deux méthodes permettent de réduire de façon significative la mémoire utilisée lors des calculs de radiosité ainsi que le temps de calcul, sans perte de précision

Rossiter-McLaughlin Observations of 55 Cnc e

We present Rossiter-McLaughlin observations of the transiting super-Earth 55 Cnc e collected during six transit events between January 2012 and November 2013 with HARPS and HARPS-N. We detect no radial-velocity signal above 35 cm/s (3-sigma) and confine the stellar v sin i to 0.2 +/- 0.5 km/s. The star appears to be a very slow rotator, producing a very low amplitude Rossiter-McLaughlin effect. Given such a low amplitude, the Rossiter-McLaughlin effect of 55 Cnc e is undetected in our data, and any spin-orbit angle of the system remains possible. We also performed Doppler tomography and reach a similar conclusion. Our results offer a glimpse of the capacity of future instrumentation to study low amplitude Rossiter-McLaughlin effects produced by super-Earths.Comment: Accepted for publication in ApJ Letter