University of A Coruña

About: University of A Coruña is a education organization based out in A Coruña, Spain. It is known for research contribution in the topics: Population & Artificial neural network. The organization has 4661 authors who have published 9399 publications receiving 171951 citations. The organization is also known as: University of La Coruna & University of La Coruña.

Los belgas y los ferrocarriles de vía estrecha en españa, 1887-1936

Abstract: En el presente trabajo se estudian las empresas belgas con intereses en el sector ferroviario espanol de via estrecha. Estas comienzan a crearse a finales del siglo XIX, en conexion con el auge bursatil bruselense y con el nuevo marco legislativo ferroviario, favorecedor de los ferrocarriles de via estrecha. La mayoria de estas sociedades se crean en la periferia minera e industrial para dar salida a sus productos, conectandose con la red de via ancha y los puertos. Los resultados economicos fueron, en general, malos, debido a una demanda menor de la esperada y al peso de las cargas financieras. Esta situacion se agravara durante la crisis ferroviaria de la posguerra mundial, lo que unido al clima nacionalista del momento, provocara, en la mayoria de los casos, la liquidacion o traspaso a sociedades espanolas de sus activos.

k2-Trees for Compact Web Graph Representation

Abstract: This paper presents a Web graph representation based on a compact tree structure that takes advantage of large empty areas of the adjacency matrix of the graph. Our results show that our method is competitive with the best alternatives in the literature, offering a very good compression ratio (3.3---5.3 bits per link) while permitting fast navigation on the graph to obtain direct as well as reverse neighbors (2---15 microseconds per neighbor delivered). Moreover, it allows for extended functionality not usually considered in compressed graph representations.

eRISK 2017: CLEF Lab on Early Risk Prediction on the Internet: Experimental Foundations

Abstract: This paper provides an overview of eRisk 2017. This was the first year that this lab was organized at CLEF. The main purpose of eRisk was to explore issues of evaluation methodology, effectiveness metrics and other processes related to early risk detection. Early detection technologies can be employed in different areas, particularly those related to health and safety. The first edition of eRisk included a pilot task on early risk detection of depression.

Mechanisms of Bacterial Tolerance and Persistence in the Gastrointestinal and Respiratory Environments.

Abstract: Pathogens that infect the gastrointestinal and respiratory tracts are subjected to intense pressure due to the environmental conditions of the surroundings. This pressure has led to the development of mechanisms of bacterial tolerance or persistence which enable microorganisms to survive in these locations. In this review, we analyze the general stress response (RpoS mediated), reactive oxygen species (ROS) tolerance, energy metabolism, drug efflux pumps, SOS response, quorum sensing (QS) bacterial communication, (p)ppGpp signaling, and toxin-antitoxin (TA) systems of pathogens, such as Escherichia coli, Salmonella spp., Vibrio spp., Helicobacter spp., Campylobacter jejuni, Enterococcus spp., Shigella spp., Yersinia spp., and Clostridium difficile, all of which inhabit the gastrointestinal tract. The following respiratory tract pathogens are also considered: Staphylococcus aureus, Pseudomonas aeruginosa, Acinetobacter baumannii, Burkholderia cenocepacia, and Mycobacterium tuberculosis Knowledge of the molecular mechanisms regulating the bacterial tolerance and persistence phenotypes is essential in the fight against multiresistant pathogens, as it will enable the identification of new targets for developing innovative anti-infective treatments.

Molecular dynamics simulation of the structure and dynamics of water-1-alkyl-3-methylimidazolium ionic liquid mixtures.

Abstract: We have performed extensive molecular dynamic simulations to analyze the influence of cation and anion natures, and of water concentration, on the structure and dynamics of water–1-alkyl-3-methylimidazolium ionic liquid mixtures. The dependence on water concentration of the radial distribution functions, coordination numbers, and hydrogen bonding degree between the different species has been systematically analyzed for different lengths of the cation alkyl chain (alkyl = ethyl, butyl, hexyl, and octyl) and several counterions. These include two halogens of different sizes and positions in Hoffmeister series, Cl– and Br–, and the highly hydrophobic inorganic anion PF6– throughout its whole solubility regime. The formation of water clusters in the mixture has been verified, and the influences of both anion hydrophobicity and cation chain length on the structure and size of these clusters have been analyzed. The water cluster size is shown to be relatively independent of the cation chain length, but strongly...