Lagrangian submanifolds and dynamics on Lie affgebroids

We introduce the notion of a symplectic Lie affgebroid and their Lagrangian submanifolds in order to describe the Lagrangian (Hamiltonian) dynamics on a Lie affgebroid in terms of this type of structures. Several examples are discussed.Comment: 50 pages. Several sections update

Memetic Pareto Evolutionary Artificial Neural Networks for the determination of growth limits of Listeria Monocytogenes

The main objective of this work is to automatically design neural network models with sigmoidal basis units for classification tasks, so that classifiers are obtained in the most balanced way possible in terms of CCR and Sensitivity (given by the lowest percentage of examples correctly predicted to belong to each class). We present a Memetic Pareto Evolutionary NSGA2 (MPENSGA2) approach based on the Pareto-NSGAII evolution (PNSGAII) algorithm. We propose to augmente it with a local search using the improved Rprop—IRprop algorithm for the prediction of growth/no growth of L. monocytogenes as a function of the storage temperature, pH, citric (CA) and ascorbic acid (AA). The results obtained show that the generalization ability can be more efficiently improved within a framework that is multi-objective instead of a within a single-objective one

A proposal for an air quality monitoring system for Cartagena de Indias

This paper presents an Air Quality Monitoring System for the city of Cartagena de Indias. The goal of this system is to monitor the air quality in the city and to establish the current state of the air Cartagena's citizen breathe. Data is going to be acquired through a sensor network, and the information is going to be displayed on web or mobile application allowing access from anywhere in the world to anyone that may be interested. It is expected that the availability of this information allows research centers, educational institutions, and government to design plans for prevention and improvement of the air quality in the city based on historical and real-time data. © 2019 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved

Algoritmos de aprendizaje evolutivo y estadístico para la determinación de mapas de malas hierbas utilizando técnicas de teledetección

Este trabajo aborda la resolución de problemas de clasificación binaria utilizando una metodología híbrida que combina la regresión logística y modelos evolutivos de redes neuronales de unidades producto. Para estimar los coeficientes del modelo lo haremos en dos etapas, en la primera aprendemos los exponentes de las funciones unidades producto, entrenando los modelos de redes neuronales mediante computación evolutiva y una vez estimados el número de funciones potenciales y los exponentes de estas funciones, se aplica el método de máxima verosimilitud al espacio de características formado por las covariables iniciales junto con las nuevas funciones de base obtenidas al entrenar los modelos de unidades producto. Esta metodología híbrida en el diseño del modelo y en la estimación de los coeficientes se aplica a un problema real agronómico de predicción de presencia de la mala hierba Ridolfia segetum Moris en campos de cosecha de girasol. Los resultados obtenidos con este modelo mejoran los conseguidos con una regresión logística estándar en cuanto a porcentaje de patrones bien clasificados sobre el conjunto de generalización

Reducing the Sugar and pH of the Grape (Vitis vinifera L. cvs. ‘Grenache’ and ‘Tempranillo’) Through a Single Shoot Trimming

Many vineyards all over the world can easily produce high potential alcohol levels, but the importanceof the sugar content in berries has been changing over the past few years. The objective of this work wasto reduce the sugar and pH of the grapes, delay berry ripening by decreasing the ratio between the leafarea and yield, perform an intense trimming treatment after berry set and establish the consequences forgrapevine productivity in the following year. Severe shoot trimming was done over a three-year period(2010 to 2012). Phenological, vegetative and productive parameters were examined. The date of véraisonwas delayed by about 20 days. On the same harvesting date, the trim treatment had lower soluble solids(12% to 15 % reduction), lower pH (0.1 to 0.3) and a lower total anthocyanin content (10% reduction). Thetrim effect was also reflected in berry weight; as a consequence, bunch size and yield were also reduced byaround 10%. If the trim treatment does not reduce the leaf area to fruit ratio below 0.50 m2/kg, there is nonegative impact on vine capacity in the next year

A Highly Optimized Skeleton for Unbalanced and Deep Divide-And-Conquer Algorithms on Multi-Core Clusters

Financiado para publicación en acceso aberto: Universidade da Coruña/CISUG [Abstract] Efficiently implementing the divide-and-conquer pattern of parallelism in distributed memory systems is very relevant, given its ubiquity, and difficult, given its recursive nature and the need to exchange tasks and data among the processors. This task is noticeably further complicated in the presence of multi-core systems, where hybrid parallelism must be exploited to attain the best performance, and when unbalanced and deep workloads are considered, as additional measures must be taken to load balance and avoid deep recursion problems. In this manuscript a parallel skeleton that fulfills all these requirements while providing high levels of usability is presented. In fact, the evaluation shows that our proposal is on average 415.32% faster than MPI codes and 229.18% faster than MPI + OpenMP benchmarks, while offering an average improvement in the programmability metrics of 131.04% over MPI alternatives and 155.18% over MPI + OpenMP solutions.This research was supported by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00 and PID2019-104834GB-I00, AEI/FEDER/EU, 10.13039/501100011033) and the predoctoral Grant of Millán Álvarez Ref. BES-2017-081320), and by the Xunta de Galicia co-founded by the European Regional Development Fund (ERDF) under the Consolidation Programme of Competitive Reference Groups (ED431C 2018/19 and ED431C 2021/30). We acknowledge also the support from the Centro Singular de Investigación de Galicia “CITIC” and the Centro Singular de Investigación en Tecnoloxías Intelixentes “CiTIUS”, funded by Xunta de Galicia and the European Union (European Regional Development Fund- Galicia 2014-2020 Program), by Grants ED431G 2019/01 and ED431G 2019/04. We also acknowledge the Centro de Supercomputación de Galicia (CESGA). Open Access funding provided thanks to the CRUE-CSIC agreement with Springer NatureXunta de Galicia; ED431C 2018/19Xunta de Galicia; ED431C 2021/30Xunta de Galicia; ED431G 2019/01Xunta de Galicia; ED431G 2019/0

First bird footprints from the lower Miocene Lerín Formation, Ebro Basin, Spain

A new tracksite with bird footprints, found in the Bardenas Reales de Navarra Natural Park (Navarre, Spain), is presented in this study. The footprints are preserved in four sandstone blocks of the Lerín Formation from the northwest sector of the Ebro Basin. According to the magnetostratigraphic data, the age of these blocks is 20.4 Ma (Agenian, lower Miocene). The footprints are more than 100 mm in length, mesaxonic, and tridactyl, and have a prominent central pad impression with the digit impressions not jointed proximally. These features allow classifying them as Uvaichnites riojana. Some of the studied footprints are better preserved than the type series of Uvaichnites, which were found also in the northwest sector of the Ebro Basin. Therefore, the original diagnosis has been emended. Available chronostratigraphic data for these localities as well as for other footprints from China indicate a latest Oligocene-earliest Miocene age (from about 23 to 20 Ma) for Uvaichnites-like footprints. Sedimentological data also indicate similar continental environments, namely perilacustrine deltaic systems and distal alluvial systems. The information about early Miocene avian remains (bones, eggs and footprints) in the Iberian Peninsula is scarce. The skeletal and oological record of this age has been included within the families Phoenicopteridae, Phaisanidae and Cathartidae (or incertae sedis), while the ichnological record was related with trackmakers belonging to Charadriiformes, Ardeidae and Gruidae taxa. For this scenario, in which there are few avian remains, the ichnological diversity shown in this paper complements and improves the knowledge about the Iberian avian diversity in the early Miocene