Determinación de plaguicidas en nutraceúticos procedentes de hojas de té

El término nutraceútico hace referencia a aquellos alimentos y sustancias bioactivas que están presentes en ellos y que aportan un efecto beneficioso sobre la salud humana, siendo consumidos en un formato de matriz no alimenticia con concentraciones más elevadas a las presentes de forma natural en el propio alimento. Teniendo en cuenta que durante el cultivo de té verde se emplean plaguicidas, es de suponer que éstos puedan llegar al producto final, es decir, a los comprimidos nutraceúticos, que son elaborados a partir de las hojas de té. En este trabajo se pretende utilizar un método analítico basado en la cromatografía de líquidos de ultra alta eficacia acoplada a la espectrometría de masas en tándem (UHPLC-MS/MS) para la determinación de residuos de plaguicidas en este tipo de productos. Se evaluará un método de extracción basado en la metodología QuEChERS. El método será optimizado y validado para su aplicación en la determinación de la presencia de este tipo de contaminantes en comprimidos nutraceúticos elaborados a partir de hojas de té verde

Las relaciones entre la población española y la marroquí en el Marruecos del protectorado francés

La población española que residió en el protectorado francés de Marruecos mantuvo unas relaciones con la población marroquí muy singulares. Este artículo intenta poner de manifiesto las características de las interacciones personales entre españoles y marroquíes, durante un periodo que abarca desde los años cuarenta a finales de los años setenta del siglo veinte, reconstruyendo un sistema social y un modo de vida peculiar. Esta investigación se apoya en entrevistas en profundidad a antiguos residentes en el protectorado francés y a personas que continúan residiendo en Marruecos. Además, se han utilizado documentos bibliográficos de carácter biográfico o literario de autores que vivieron los acontecimientos en primera personaThe Spanish population that was living in the ancient French protectorate of Morocco had very singular relations with the Moroccan population. This article tries to show the main characteristics of personal interactions between the Spanish and Moroccan people during the forties to the eighties of the twentieth century, rebuilding a specific social system and a singular lifestyle. This research is based on interviews to former residents of the ancient French protectorate and people that still are living in Morocco. Bibliographical documents as biographies or literary authors who lived the events firsthand have also been use

Aspiraciones empresariales. Historia de vida de un pequeño empresario

Este trabajo consiste en el análisis de la historia de vida de un pequeño empresario que nació en la década de 1920 y que, después de haber pasado por varias ocupaciones, fundó su propia empresa. El objetivo es relacionar las aspiraciones personales de los fundadores de empresas con el desarrollo y la evolución de la empresa. Las motivaciones personales del empresario se transfieren al modo de gestionar la empresa, condicionan su desarrollo y se manifiestan en las relaciones con los clientes, proveedores y empleados. En el análisis, se han seguido los procesos metodológicos derivados de la «teoría fundamentada», con un programa informático de análisis cualitativo.This investigation consists of an analysis of the life story of a small entrepreneur who was born in the twenties of the last century. The objective of the survey is to relate the personal aspirations of the company founder to the development and evolution of the company. The study attempts to show the conection between the entrepreneur's personal ambitions, and the way the company is managed, and how those aspirations affect the company's evolution, and his relationship with the clients, suppliers and employees. The methodology has been based on the Grounded Theory, usinng software for the Qualitative Data Analysis

Scalable Inference of Gene Regulatory Networks with the Spark Distributed Computing Platform Cristo

Inference of Gene Regulatory Networks (GRNs) remains an important open challenge in computational biology. The goal of bio-model inference is to, based on time-series of gene expression data, obtain the sparse topological structure and the parameters that quantitatively understand and reproduce the dynamics of biological system. Nevertheless, the inference of a GRN is a complex optimization problem that involve processing S-System models, which include large amount of gene expression data from hundreds (even thousands) of genes in multiple time-series (essays). This complexity, along with the amount of data managed, make the inference of GRNs to be a computationally expensive task. Therefore, the genera- tion of parallel algorithmic proposals that operate efficiently on distributed processing platforms is a must in current reconstruction of GRNs. In this paper, a parallel multi-objective approach is proposed for the optimal inference of GRNs, since min- imizing the Mean Squared Error using S-System model and Topology Regularization value. A flexible and robust multi-objective cellular evolutionary algorithm is adapted to deploy parallel tasks, in form of Spark jobs. The proposed approach has been developed using the framework jMetal, so in order to perform parallel computation, we use Spark on a cluster of distributed nodes to evaluate candidate solutions modeling the interactions of genes in biological networks.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A New Multi-Objective Approach for Molecular Docking Based on RMSD and Binding Energy

Ligand-protein docking is an optimization problem based on predicting the position of a ligand with the lowest binding energy in the active site of the receptor. Molecular docking problems are traditionally tackled with single-objective, as well as with multi-objective approaches, to minimize the binding energy. In this paper, we propose a novel multi-objective formulation that considers: the Root Mean Square Deviation (RMSD) difference in the coordinates of ligands and the binding (intermolecular) energy, as two objectives to evaluate the quality of the ligand-protein interactions. To determine the kind of Pareto front approximations that can be obtained, we have selected a set of representative multi-objective algorithms such as NSGA-II, SMPSO, GDE3, and MOEA/D. Their performances have been assessed by applying two main quality indicators intended to measure convergence and diversity of the fronts. In addition, a comparison with LGA, a reference single-objective evolutionary algorithm for molecular docking (AutoDock) is carried out. In general, SMPSO shows the best overall results in terms of energy and RMSD (value lower than 2A for successful docking results). This new multi-objective approach shows an improvement over the ligand-protein docking predictions that could be promising in in silico docking studies to select new anticancer compounds for therapeutic targets that are multidrug resistant.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Monitorización biométrica en tiempo real con dispositivo móvil y plataforma de análisis de datos

En este proyecto se va a crear un sistema autónomo capaz de monitorizar parámetros vitales de un usuario en tiempo real, detectando situaciones críticas y actuando de forma inmediata mediante el envío de notificaciones al usuario afectado. Para ello, se hace uso de un dispositivo holter inalámbrico situado en el tórax, un dispositivo móvil y una plataforma de análisis de datos. Además, el sistema es capaz de convertir los datos, tomados por el holter, a un formato estandarizado, para que los profesionales médicos puedan acceder a ellos desde sus equipos. Durante su desarrollo, se han tenido en cuenta aspectos como la seguridad de los datos y la escalabilidad del sistema, con la idea de poder ser aplicado a casos de uso reales.The aim of this project is the development of an autonomous system capable of monitoring, in real time, vital parameters of the user, detecting critical situations and acting immediately by sending notifications to the affected user. To do this, the system uses a wireless holter monitor located on the thorax of the user, a mobile device and a data analytics platform. In addition, the system converts the data collected by the holter monitor to a standard format, in order to allow medical professionals to access them using their medical equipments. During all the development, some aspects like data security and scalability have been considered with the purpose of being used in real cases.Universidad de Sevilla. Grado en Ingeniería de las Tecnologías de Telecomunicació

Erigeron cabelloi A. Pujadas, R. García-Salmones & E. López (Asteraceae) a new species from the Pyrennees

Erigeron cabelloi A. Pujadas, R. García-Salmones & E. López (Asteraceae) a new species from the Pyrennees. Palabras clave. Andorra, Compositae, Corología, Erigeron neglectus, Flora Ibérica. Key words. Andorra, Chorology, Compositae, Erigeron neglectus, Iberian Flora

Chrome Layer Thickness Modelling in a Hard Chromium Plating Process Using a Hybrid PSO/ RBF–SVM–Based Model

The purpose of chromium plating is the creation of a hard and wear-resistant layer of chromium over a metallic surface. The principal feature of chromium plating is its endurance in the face of the wear and corrosion. This industrial process has a vast range of applications in many different areas. In the performance of this process, some difficulties can be found. Some of the most common are melt deposition, milky white chromium deposition, rough or sandy chromium deposition and lack of toughness of the layer or wear and lack of thickness of the layer deposited. This study builds a novel nonparametric method relied on the statistical machine learning that employs a hybrid support vector machines (SVMs) model for the hard chromium layer thickness forecast. The SVM hyperparameters optimization was made with the help of the Particle Swarm Optimizer (PSO). The outcomes indicate that PSO/SVM–based model together with radial basis function (RBF) kernel has permitted to foretell the thickness of the chromium layer created in this industrial process satisfactorily. Thus, two kinds of outcomes have been obtained: firstly, this model permits to determine the ranking of relevance of the seven independent input variables investigated in this industrial process. Finally, the high achievement and lack of complexity of the model indicate that the PSO/SVM method is very interesting compared to other conventional foretelling techniques, since a coefficient of determination of 0.9952 is acquired

A New Predictive Model Based on the ABC Optimized Multivariate Adaptive Regression Splines Approach for Predicting the Remaining Useful Life in Aircraft Engines

[EN] Remaining useful life (RUL) estimation is considered as one of the most central points in the prognostics and health management (PHM). The present paper describes a nonlinear hybrid ABC–MARS-based model for the prediction of the remaining useful life of aircraft engines. Indeed, it is well-known that an accurate RUL estimation allows failure prevention in a more controllable way so that the effective maintenance can be carried out in appropriate time to correct impending faults. The proposed hybrid model combines multivariate adaptive regression splines (MARS), which have been successfully adopted for regression problems, with the artificial bee colony (ABC) technique. This optimization technique involves parameter setting in the MARS training procedure, which significantly influences the regression accuracy. However, its use in reliability applications has not yet been widely explored. Bearing this in mind, remaining useful life values have been predicted here by using the hybrid ABC–MARS-based model from the remaining measured parameters (input variables) for aircraft engines with success. A correlation coefficient equal to 0.92 was obtained when this hybrid ABC–MARS-based model was applied to experimental data. The agreement of this model with experimental data confirmed its good performance. The main advantage of this predictive model is that it does not require information about the previous operation states of the aircraft engine.S