An approximation to the prediction of the summery emergence of "Ochlerotatus caspius" (Diptera: Culicidae) based on the relationship between degree-days accumulations and adult captures

Ochlerotatus caspius (Pallas) (Diptera, Culicidae) es el culícido más abundante durante el verano en las marismas de Huelva. Este estudio demuestra que la relación entre capturas de adultos, convertidas en probit, y la acumulación de temperatura o número de días-grado, convenientemente adaptada mediante a una transformación logarítmica, muestra ser signifi cativamente lineal para cada generación de este mosquito a lo largo de cada verano. Además, si se procesan todos los datos disponibles de todos los años considerados en el estudio se obtiene una alta correlación lineal y, en consecuencia, las ecuaciones resultantes poseen valor predictivo. Los resultados de la validación de los pronósticos que se extraen de las rectas de regresión log-probit, permiten que se puedan considerar estas rectas como una herramienta más de cara a aumentar la efi cacia de los programas de control integrado que se llevan a cabo en esta zona.Predicción de la emergencia estival de Ochlerotatus caspius (Diptera: Culicidae) basada en la relación entre la acumulación de días-grado y la captura de adultos. Ochlerotatus caspius (Pallas) (Diptera, Culicidae) es el culícido más abundante durante el verano en las marismas de Huelva. Este estudio demuestra que la relación entre capturas de adultos, convertidas en probit, y la acumulación de temperatura o número de días-grado, convenientemente adaptada mediante a una transformación logarítmica, muestra ser signifi cativamente lineal para cada generación de este mosquito a lo largo de cada verano. Además, si se procesan todos los datos disponibles de todos los años considerados en el estudio se obtiene una alta correlación lineal y, en consecuencia, las ecuaciones resultantes poseen valor predictivo. Los resultados de la validación de los pronósticos que se extraen de las rectas de regresión log-probit, permiten que se puedan considerar estas rectas como una herramienta más de cara a aumentar la efi cacia de los programas de control integrado que se llevan a cabo en esta zona

Trama social y locus de acción grupal : localización de grupos a escala de la ciudad para la intervención ambiental

La investigación fue realizada en una ciudad rural media y es subsidiaria de una investigación mayor que busca solucionar el problema de los residuos urbanos mediante la participación ciudadana. El objetivo consistió en localizar grupos e implementar un programa de educación ambiental que lograra un impacto en cascada. Se desarrolló en cinco fases: (1) determinación de las unidades de análisis; (2) observación extensiva; (3) observación intensiva; (4) extrapolación al universo; (5) interacción efectiva con estructuras metagrupales. El universo de investigación se compuso de 50,000 habitantes y la población de estudio fueron 214 grupos significativos: religiosos, deportivos y territoriales. En cuatro vecindarios (unidades de análisis) se localizaron tendencias en el tejido social; se extrapoló en dos zonas más, y después se penetró en la estructura metagrupal o institucional para convenir un programa de educación ambiental no formal, bajo un eje psicosocial de influencia social, de mayorías y de minoríasThis research it's done in a mid size rural city, it's based on a larger scale research that seeks the solid waste problem to be resolved though citizen participation. The goal is to locate groups of people to implement an environmental education program that achieve a cascade impact. It's developed in five phases: (1) unit of analysis determination; (2) extensive observation; (3) intensive observation; (4) universe extrapolation; (5) effective interaction with institutional structure. The universe of study is composed by 50 000 inhabitants and the population of the significant groups is 214, in which there are three kinds of groups: religious, sports and neighborhood. In four neighborhoods (unit of analysis) were located tendencies in the social thread, it's extrapolated in two more areas and, then it's penetrated in the institutional structure to agree a non formal environmental education program, base on a psychosocial axis of social influence, of majorities and minoritie

A decade of health message in communication journals indexed in INRECS (2000-2011)

Este trabajo analiza el abordaje que realizan las revistas científicas de comunicación con mayor impacto en el índice INRECS del mensaje sobre la salud a lo largo de la última década. Se revisaron 1.962 referencias analizando frecuencia de publicación, autoría, temática, medios y tipo de análisis realizado. Se observó escasa presencia de estudios sobre el mensaje de la salud en las revistas de comunicación. La mayor parte trataron sobre salud pública centrándose bien en enfermedades concretas o en aspectos que pueden afectar a gran parte de la población. La mayoría de los estudios realizaron análisis de contenidos principalmente de prensa, seguidos de contenidos audiovisuales y con menor frecuencia Internet; en menor medida se narraron experiencias o reflexiones. Finalmente, realizamos propuestas de investigación para seguir contribuyendo al progreso de este ámbito.The aim of this paper is to analyse how scientific communication journals with greater impact factor on the INRECS index approach health message over the last decade. A total of 1.962 references were reviewed by analyzing publication frequency, authorship, topics, media considered and type of analysis made. It was observed scarcity of studies about health message in communication journals. Most of the articles dealt with public health issues focusing either on specific diseases or on issues that can affect much of the population. Most studies conducted content analysis mainly of press followed by audiovisual content and Internet sparingly; to a lesser extent narrated experiences or reflections. Lines of research are also proposed to continue contributing to progress in this area

Validation of H-P2PSIP, a scalable solution for interoperability among different overlay networks

This paper reports the results of experiments from an implementation of H-P2PSIP, a hierarchical overlay architecture based on the ongoing work in the IETF P2PSIP Working Group. This architecture allows the exchange of information among different independent overlay networks through the use of a two-layer architecture based on super-peers and hierarchical identifiers. The validation of this proposal is based on a Linux based real implementation where we have used four different scenarios with 1,000 peers in order to perform different experiments. We have obtained results for different parameters such as routing performance (number of hops), delay, routing state (number of overlay routing entries) and bandwidth consumption.This research was supported in part by the European Commission Seventh Framework Programme under grant agreement n 25774 (TREND Network of Excellence), Comunidad de Madrid grant S-2009/TIC-1468 (MEDIANET project) and Spanish MICINN grant TEC2011-29688-C02-02 (eeCONTENT project).Publicad

Una década del mensaje sobre la salud en las revistas de comunicación indexadas en IN-RECS (2000-2011)

The aim of this paper is to analyse how scientific communication journals with greater impact factor on the INRECS index approach health message over the last decade. A total of 1.962 references were reviewed by analyzing publication frequency, authorship, topics, media considered and type of analysis made. It was observed scarcity of studies about health message in communication journals. Most of the articles dealt with public health issues focusing either on specific diseases or on issues that can affect much of the population. Most studies conducted content analysis mainly of press followed by audiovisual content and Internet sparingly; to a lesser extent narrated experiences or reflections. Lines of research are also proposed to continue contributing to progress in this area.Este trabajo analiza el abordaje que realizan las revistas científicas de comunicación con mayor impacto en el índice INRECS del mensaje sobre la salud a lo largo de la última década. Se revisaron 1.962 referencias analizando frecuencia de publicación, autoría, temática, medios y tipo de análisis realizado. Se observó escasa presencia de estudios sobre el mensaje de la salud en las revistas de comunicación. La mayor parte trataron sobre salud pública centrándose bien en enfermedades concretas o en aspectos que pueden afectar a gran parte de la población. La mayoría de los estudios realizaron análisis de contenidos principalmente de prensa, seguidos de contenidos audiovisuales y con menor frecuencia Internet; en menor medida se narraron experiencias o reflexiones. Finalmente, realizamos propuestas de investigación para seguir contribuyendo al progreso de este ámbito

SparkEC: speeding up alignment-based DNA error correction tools

[Abstract]: In recent years, huge improvements have been made in the context of sequencing genomic data under what is called Next Generation Sequencing (NGS). However, the DNA reads generated by current NGS platforms are not free of errors, which can affect the quality of downstream analysis. Although error correction can be performed as a preprocessing step to overcome this issue, it usually requires long computational times to analyze those large datasets generated nowadays through NGS. Therefore, new software capable of scaling out on a cluster of nodes with high performance is of great importance. In this paper, we present SparkEC, a parallel tool capable of fixing those errors produced during the sequencing process. For this purpose, the algorithms proposed by the CloudEC tool, which is already proved to perform accurate corrections, have been analyzed and optimized to improve their performance by relying on the Apache Spark framework together with the introduction of other enhancements such as the usage of memory-efficient data structures and the avoidance of any input preprocessing. The experimental results have shown significant improvements in the computational times of SparkEC when compared to CloudEC for all the representative datasets and scenarios under evaluation, providing an average and maximum speedups of 4.9× and 11.9×, respectively, over its counterpart. As error correction can take excessive computational time, SparkEC provides a scalable solution for correcting large datasets. Due to its distributed implementation, SparkEC speed can increase with respect to the number of nodes in a cluster. Furthermore, the software is freely available under GPLv3 license and is compatible with different operating systems (Linux, Windows and macOS).Ministerio de Ciencia e Innovación; PID2019-104184RB-I00 / AEI / 10.13039 / 501100011033Xunta de Galicia; ED431G 2019/01Xunta de Galicia; ED431C 2021/30FEDER; ED431G 2019/01FEDER; ED431C 2021/3

Performance Optimization of a Parallel Error Correction Tool

Presented at the 4th XoveTIC Conference, A Coruña, Spain, 7–8 October 2021.[Abstract] Due to the continuous development in the field of Next Generation Sequencing (NGS) technologies that have allowed researchers to take advantage of greater genetic samples in less time, it is a matter of relevance to improve the existing algorithms aimed at the enhancement of the quality of those generated reads. In this work, we present a Big Data tool implemented upon the open-source Apache Spark framework that is able to execute validated error-correction algorithms at an improved performance. The experimental evaluation conducted on a multi-core cluster has shown significant improvements in execution times, providing a maximum speedup of 9.5 over existing error correction tools when processing an NGS dataset with 25 million reads.This research was funded by the Ministry of Science and Innovation of Spain (PID2019-104184RB-I00/AEI/10.13039/501100011033), and by Xunta de Galicia and FEDER funds of the European Union (Centro de Investigación de Galicia accreditation 2019-2022, ref. ED431G2019/01; Consolidation Program of Competitive Reference Groups, ref. ED431C 2021/30)Xunta de Galicia; ED431G2019/01Xunta de Galicia; ED431C 2021/3

Performance and Extreme Conditions Analysis Based on Iterative Modelling Algorithm for Multi-Trailer AGVs

Automatic guidance vehicles (AGV) are industrial vehicles that play an important role in the development of smart manufacturing systems and Industry 4.0. To provide these autonomous systems with the flexibility that is required today in these industrial workspaces, AGV computational models are necessary in order to analyze their performance and design efficient planning and control strategies. To address these issues, in this work, the mathematical model and the algorithm that implement a computational control-oriented simulation model of a hybrid tricycle-differential AGV with multi-trailers have been developed. Physical factors, such as wheel-ground interaction and the effect of vertical and lateral loads on its dynamics, have been incorporated into the model. The model has been tested in simulation with two different controllers and three trajectories: a circumference, a square, and an s-shaped curve. Furthermore, it has been used to analyze extreme situations of slipping and capsizing and the influence of the number of trailers on the tracking error and the control effort. This way, the minimum lateral friction coefficient to avoid slipping and the minimum ratio between the lateral and height displacement of the center of gravity to avoid capsizing have been obtained. In addition, the effect of a change in the friction coefficient has also been simulated

Analysis of relod.net, a basic implementation of the RELOAD protocol for peer-to-peer networks

Actas de: XI Jornadas de Ingeniería Telemática (JITEL 2013) celebradas en Granada, 28-30 Octubre 2013. La web del evento es: http://dtstc.ugr.es/jitel2013/#The P2PSIP Working Group is chartered to develop protocols and mechanisms for the use of SIP in distributed environments, thus minimizing the need for centralized servers. Under this premise, the RELOAD protocol was created, whose design was generalized to accept other applications with similar requirements, and which is currently in process of standardization by the IETF. In this paper, we present a basic implementation and an analysis of this protocol proposed standard, given the great interest displayed in recent years by the scientific and business community in issues related to peerto- peer networks. Later, we conduct several experiments in order to validate its correct operation in real scenarios and provide feedback in relation with the current specificationThis research was supported in part by the Comunidad de Madrid grant S-2009/TIC-1468 (MEDIANET project).Publicad

Brain-computer interface channel selection optimization using meta-heuristics and evolutionary algorithms

Producción CientíficaMany brain–computer interface (BCI) studies overlook the channel optimization due to its inherent complexity. However, a careful channel selection increases the performance and users’ comfort while reducing the cost of the system. Evolutionary meta-heuristics, which have demonstrated their usefulness in solving complex problems, have not been fully exploited yet in this context. The purpose of the study is two-fold: (1) to propose a novel algorithm to find an optimal channel set for each user and compare it with other existing meta-heuristics; and (2) to establish guidelines for adapting these optimization strategies to this framework. A total of 3 single-objective (GA, BDE, BPSO) and 4 multi-objective (NSGA-II, BMOPSO, SPEA2, PEAIL) existing algorithms have been adapted and tested with 3 public databases: ‘BCI competition III–dataset II’, ‘Center Speller’ and ‘RSVP Speller’. Dual-Front Sorting Algorithm (DFGA), a novel multi-objective discrete method especially designed to the BCI framework, is proposed as well. Results showed that all meta-heuristics outperformed the full set and the common 8-channel set for P300-based BCIs. DFGA showed a significant improvement of accuracy of 3.9% over the latter using also 8 channels; and obtained similar accuracies using a mean of 4.66 channels. A topographic analysis also reinforced the need to customize a channel set for each user. Thus, the proposed method computes an optimal set of solutions with different number of channels, allowing the user to select the most appropriate distribution for the next BCI sessions.Ministerio de Ciencia, Innovación y Universidades (project RTC2019-007350-1)Comisión Europea (project 0702_MIGRAINEE_2_E