Organic-inorganic hybrid sol-gelcoatings for metal corrosion protection: a review of recent progress

This paper is a review of the most recent and relevant achievements (from 2001 to 2013) on the development of organic–inorganic hybrid (OIH) coatings produced by sol–gel-derivedmethods to improve resistance to oxidation/corrosion of different metallic substrates and their alloys. This review is focused on the research of OIH coatings based on siloxanes using the sol–gel process conducted at an academic level and aims to summarize the materials developed and identify perspectives for further research. The fundamentals of sol–gel are described, including OIH classification, the interaction with the substrate, their advantages, and limitations. The main precursors used in the synthesis ofOIHsol–gel coatings for corrosion protection are also discussed, according to the metallic substrate used. Finally, a multilayer system to improve the resistance to corrosion is proposed, based on OIH coatings produced by the sol–gel process, and the future research challenges are debated.

Safety classification using GIS in decision-making process to define priority road interventions

Given the current economic situation of the Portuguese municipalities, it is necessary to identify the priority investments in order to achieve a more efficient financial management. The classification of the road network of the municipality according to the occurrence of traffic accidents is fundamental to set priorities for road interventions. This paper presents a model for road network classification based on traffic accidents integrated in a geographic information system. Its practical application was developed through a case study in the municipality of Barcelos. An equation was defined to obtain a road safety index through the combination of the following indicators: severity, property damage only and accident costs. In addition to the road network classification, the application of the model allows to analyze the spatial coverage of accidents in order to determine the centrality and dispersion of the locations with the highest incidence of road accidents. This analysis can be further refined according to the nature of the accidents namely in collision, runoff and pedestrian crashes.

Etude du comportment mécanique des poutres corrodées réparées à l’effort tranchant par l’insertion des joncs de carbone

Cette communication présente les caractéristiques principales d’un modèle par Eléments Finis (EF) développé en utilisant le logiciel FEMIX afin de prévoir le comportement de poutres en béton armé corrodées réparées à l’effort tranchant par l’insertion des joncs de carbone par la technique NSM (Near-Surface Mounted reinforcement). Cette technique consiste à sceller les joncs de carbone dans des engravures déjà préparées sur les surfaces inférieure et latérale de la poutre corrodée à réparer. Les résultats expérimentaux et ceux de la modélisation numérique en mode 3D sont présentés en termes des courbes charge-flèche et des modes de ruine pour quatre poutres courtes: deux poutres corrodées (A1CL3-B et A1CL3-SB) et deux poutres témoins (A1T-B et A1T-SB), les poutres avec « -B » sont réparées seulement en flexion avec un jonc de carbone par la technique NSM, tandis que celles avec « -SB » sont réparées à la fois en flexion et à l’effort tranchant. La corrosion des barres d'acier tendues et son effet sur la résistance à l’effort tranchant des poutres en béton armé sont discutés. Les résultats ont montré une bonne corrélation entre les prédictions par le modèle EF en termes de courbes expérimentales charge-flèche, de la fissuration et des modes de ruine.

Metabolic profiling and classification of propolis samples from Southern Brazil: an NMR-based platform coupled with machine learning

The chemical composition of propolis is affected by environmental factors and harvest season, making it difficult to standardize its extracts for medicinal usage. By detecting a typical chemical profile associated with propolis from a specific production region or season, certain types of propolis may be used to obtain a specific pharmacological activity. In this study, propolis from three agroecological regions (plain, plateau, and highlands) from southern Brazil, collected over the four seasons of 2010, were investigated through a novel NMR-based metabolomics data analysis workflow. Chemometrics and machine learning algorithms (PLS-DA and RF), including methods to estimate variable importance in classification, were used in this study. The machine learning and feature selection methods permitted construction of models for propolis sample classification with high accuracy (>75%, reaching 90% in the best case), better discriminating samples regarding their collection seasons comparatively to the harvest regions. PLS-DA and RF allowed the identification of biomarkers for sample discrimination, expanding the set of discriminating features and adding relevant information for the identification of the class-determining metabolites. The NMR-based metabolomics analytical platform, coupled to bioinformatic tools, allowed characterization and classification of Brazilian propolis samples regarding the metabolite signature of important compounds, i.e., chemical fingerprint, harvest seasons, and production regions.

Monovarietal extra-virgin olive oil classification: a fusion of human sensory attributes and an electronic tongue

Olive oil quality grading is traditionally assessed by human sensory evaluation of positive and negative attributes (olfactory, gustatory, and final olfactorygustatory sensations). However, it is not guaranteed that trained panelist can correctly classify monovarietal extra-virgin olive oils according to olive cultivar. In this work, the potential application of human (sensory panelists) and artificial (electronic tongue) sensory evaluation of olive oils was studied aiming to discriminate eight single-cultivar extra-virgin olive oils. Linear discriminant, partial least square discriminant, and sparse partial least square discriminant analyses were evaluated. The best predictive classification was obtained using linear discriminant analysis with simulated annealing selection algorithm. A low-level data fusion approach (18 electronic tongue signals and nine sensory attributes) enabled 100 % leave-one-out cross-validation correct classification, improving the discrimination capability of the individual use of sensor profiles or sensory attributes (70 and 57 % leave-one-out correct classifications, respectively). So, human sensory evaluation and electronic tongue analysis may be used as complementary tools allowing successful monovarietal olive oil discrimination.

Une prison à l’épreuve du temps. Temporalités carcérales d’hier et d’aujourd’hui

Deux enquêtes de terrain qui se sont succédées, à dix ans d'intervalle, dans une même prison de femmes, ont permis de constater de profonds changements dans la vie carcérale, y compris dans la perception et la gestion du temps par les détenues. Je me propose de comparer ces deux régimes de temporalité carcérale et de dégager les raisons de cette évolution, lesquelles seront mises en rapport avec des mutations sociologiques de la prison contemporaine

Supercritical fluid and pharmaceutical applications. Part I: Process classification

The supercritical fluid technology has been target of many pharmaceuticals investigations in particles production for almost 35 years. This is due to the great advantages it offers over others technologies currently used for the same purpose. A brief history is presented, as well the classification of supercritical technology based on the role that the supercritical fluid (carbon dioxide) performs in the process.

Europe du Sud: Italie, Espagne et Portugal: priorité à l'éducation aux médias

(Excerto) Partant d'une perspective comparative de plusieurs recherches realisees en ltalie au cours des demieres annees sur les mineurs et Ia television, Elisa Manna, de Ia Fondation Censis souligne le besoin pour Ia recherche de rompre avec les hyperspecialisations academiques. Elle propose des pistes de comparaisons et de confrontations de methodes, de techniques et de resultats, sans jamais perdre de vue les recherches empiriques sur le terrain. II est impensable aujourd'hui, souligne Elisa Manna, de continuer a separer, d'un cote le monde institutionnel de Ia culture qui, prive des outils de connaissance necessaires, serait oblige d'agir a l'aveuglette, et d'autre part celui de Ia recherche academique et privee, fragmentee, divisee et frustree par l'impossibilite de faire valoir ses efforts d 'un point de vue operationnel.

Ontological representation of tumor-node-metastasis classification and an ontology-driven classifier: a study on colorectal cancer

Dissertação de mestrado integrado em Engenharia Biomédica (área de especialização em Informática Médica)