Protección de la privacidad en Facebook : ¿cómo nos ciberprotegemos?

A pesar de la creciente popularidad de las redes sociales, aún existe un escaso cuerpo de investigación sobre el comportamiento de los usuarios en ellas y, más específicamente, sobre el comportamiento relacionado con la privacidad. Este estudio examina las conductas que llevan a cabo los usuarios y usuarias de la red social Facebook para proteger su privacidad y analiza si estas conductas varían en función del género. Además estudia la frecuencia de publicación en la red social Facebook, el número de contactos con los que cuentan los usuarios y si han leído la política de privacidad previamente a aceptarla. Los principales resultados de este trabajo, en el que participaron 190 usuarios activos de la red social Facebook de ambos sexos, ponen de manifiesto que los hombres disponen de un mayor número de contactos que las mujeres en la red, aunque las mujeres aceptan a menos personas desconocidas. Un alto porcentaje de usuarios aceptó la política de privacidad sin leerla, siendo el porcentaje de hombres superior al de mujeres. No se encontraron diferencias de género en la frecuencia de publicación en la red Facebook ni en las conductas que hombres y mujeres llevan a cabo para proteger su privacidad.Despite the growing popularity of social networks, there is little research on the behavior of users in these networks and, more specifically on privacy-related behaviors. This study examines the behaviors that users of social network Facebook carry out to protect their privacy and analyzes whether these behaviors vary by gender. Also the frequency of publication on Facebook, the number of contacts in the profile and if they have read the Privacy Policy was examined. The main results of this study, involving 190 young men and women active users of Facebook, showed gender differences in the number of contacts in the profile (men have a higher number of contacts than women) and in the behavior of accepting the privacy policy without reading it (higher percentage of men compared to women). However, gender differences were not found in the frequency of posting on Facebook and in the general behavior directed to protect their privacy on Facebook

Conocimientos y comportamientos de los usuarios de la red social Facebook relacionados con la privacidad

Este estudio examina tres variables relacionadas con la privacidad de la información en la red social Facebook: la preocupación que muestran los usuarios por la privacidad de la información que se publica en la red social, el conocimiento real que tienen sobre la política de privacidad de Facebook y las propias acciones de privacidad que los usuarios realizan para proteger sus datos privados. Asimismo se analiza la existencia de posibles diferencias de género en estas variables. La muestra estuvo compuesta por 190 jóvenes de entre 20 y 35 años de edad, todos ellos usuarios de la red social Facebook.This study examines three variables related to the privacy of information in the social network Facebook: the users’ concern about the privacy of the information published on the social network, their actual knowledge they have on Facebook’s privacy policy and the users’ privacy protection behaviors on their private data. Gender differences in these variables were also analyzed. The sample comprised 190 young people aged between 20 and 35 years old. All of them have a Facebook profile

Review and Comparison of Intelligent Optimization Modelling Techniques for Energy Forecasting and Condition-Based Maintenance in PV Plants

Within the field of soft computing, intelligent optimization modelling techniques include various major techniques in artificial intelligence. These techniques pretend to generate new business knowledge transforming sets of "raw data" into business value. One of the principal applications of these techniques is related to the design of predictive analytics for the improvement of advanced CBM (condition-based maintenance) strategies and energy production forecasting. These advanced techniques can be used to transform control system data, operational data and maintenance event data to failure diagnostic and prognostic knowledge and, ultimately, to derive expected energy generation. One of the systems where these techniques can be applied with massive potential impact are the legacy monitoring systems existing in solar PV energy generation plants. These systems produce a great amount of data over time, while at the same time they demand an important e ort in order to increase their performance through the use of more accurate predictive analytics to reduce production losses having a direct impact on ROI. How to choose the most suitable techniques to apply is one of the problems to address. This paper presents a review and a comparative analysis of six intelligent optimization modelling techniques, which have been applied on a PV plant case study, using the energy production forecast as the decision variable. The methodology proposed not only pretends to elicit the most accurate solution but also validates the results, in comparison with the di erent outputs for the di erent techniques

A Framework to Evaluate Software Developer’s Productivity The VALORTIA Project

Currently, there is a lack in companies developing software in relation to assessing their staff’s productivity before executing software projects, with the aim of improving effectiveness and efficiency. QuEF (Quality Evaluation Framework) is a framework that allows defining quality management tasks based on a model. The main purpose of this framework is twofold: improve an entity’s continuous quality, and given a context, decide between a set of entity’s instances on the most appropriate one. Thus, the aim of this paper is to make this framework available to evaluate productivity of professionals along software development and select the most appropriate experts to implement the suggested project. For this goal, Valortia platform, capable of carrying out this task by following the QuEF framework guidelines, is designed. Valortia is a platform to certify users' knowledge on a specific area and centralize all certification management in its model by means of providing protocols and methods for a suitable management, improving efficiency and effectiveness, reducing cost and ensuring continuous quality.Ministerio de Ciencia e Innovación TIN2013-46928-C3-3-

Yield and sugar accumulating capacities of Airén cultivar. A preliminary study

Airén is the most worldwide spread white grape cultivar, high yielding, well adapted to hot, dry conditions, and not very sensitive to fungal diseases. Its largest growing region is La Mancha, where Airén has been traditionally bush trained, spur pruned and grown with no irrigation. However, grape growing has evolved to meet the need for higher yields and harvest mechanization; and modern cultural practices train grape vines to simple multi-wire trellis systems, cane pruned, and usually irrigated. The aim of the present study was to evaluate the yield and sugar accumulating capacities of Airén cultivar with regard to leaf area, and to assess the influence that different yield components have on yield. In 2014, five commercial irrigated vineyards, located in La Mancha, of different ages, and grafted onto different rootstocks were selected for this study. Canopy surface area (SA) was measured at maturity. Berry weight and sugar concentration were measured during ripening on a weekly basis. Yield and yield components were determined at harvest. Values for shoot density ranged 2.3-5.1 shoots/m2; SA, 0.6-1.1 m2/m2; yield, 20-40 t/ha; fertility, 1.1-1.7 bunches/shoot; bunch weight, 450-650 g; berry weight, 2.5-2.9 g; and sugar concentration, 17-21 ºBrix. The number of bunches per shoot was the yield component that had the greatest influence on yield. The number of berries was the main contributing factor to bunch weight. A lineal relationship between SA/yield and sugar concentration was observed, with values of SA/yield ranging from 0.20 to 0.45 m2/kg. A ratio SA/yield of approximately 0.4 m2/kg was needed to reach a value of 20 ºBrix. Hence it would be necessary a SA of 12000 m2/ha, under the conditions of this study, to achieve a 30 t/ha yield, and a sugar concentration of 20 ºBrix. These results are a step forward in the study of the Airén cultivar, being of help for grape growers in the center area of Spain in order to maximize crop yield and sugar accumulation

Distinct disease-sensitive GABAergic neurons in the perirhinal cortex of Alzheimer's mice and patients

Neuronal loss is the best neuropathological substrate that correlates with cortical atrophy and dementia in Alzheimer’s disease (AD). Defective GABAergic neuronal functions may lead to cortical network hyperactivity and aberrant neuronal oscilla-tions and in consequence, generate a detrimental alteration in memory processes. In this study, using immunohistochemical and stereological approaches, we report that the two major and non-overlapping groups of inhibitory interneurons (SOM-cells and PV-cells) displayed distinct vulnerability in the perirhinal cortex of APP/PS1 mice and AD patients. SOM-positive neurons were notably sensitive and exhibited a dramatic decrease in the perirhinal cortex of 6-month-old transgenic mice (57% and 61% in areas 36 and 35, respectively) and, most importantly, in AD patients (91% in Braak V–VI cases). In addition, this interneuron degenerative process seems to occur in parallel, and closely related, with the progression of the amyloid pathol-ogy. However, the population expressing PV was unaffected in APP/PS1 mice while in AD brains suffered a pronounced and significant loss (69%). As a key component of cortico-hippocampal networks, the perirhinal cortex plays an important role in memory processes, especially in familiarity-based memory recognition. Therefore, disrupted functional connectivity of this cortical region, as a result of the early SOM and PV neurodegeneration, might contribute to the altered brain rhythms and cognitive failures observed in the initial clinical phase of AD patients. Finally, these findings highlight the failure of amyloidogenic AD models to fully recapitulate the selective neuronal degeneration occurring in humans.Instituto de Salud Carlos III (ISCiii) de España y fondos FEDER de la Unión Europea. PI18/01557 y PI18/01556Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía. Proyecto de Excelencia CTS-2035Universidad de Málaga. PPIT.UMA.B1.2017/2

First evidence of a main channel generated by the Mediterranean Outflow Water after its exit from the Gibraltar Strait

An extensive terrace comprising sandy sheeted drifts characterises the proximal sector (close to the Straits of Gibraltar) of the Contourite Depositional System (CDS) of the Gulf of Cadiz and the western continental margin of Portugal. A novel morphosedimentary study over this terrace has been executed based on new multibeam echosounder data, seismic profiles, and surficial sediments samples collected during the CONTOURIBER-1 Cruise (2010). Based on that study, an impressive large channel laterally connected with the central part of the Strait of Gibraltar (Camarinal Sill) has been identified. It is associated southwestward with a huge contourite levee (sand bank), which has been generated by overflow processes related to the Mediterranean Outflow Water (MOW). In the middle to the distal part of the terrace, there are other minor channels, erosional scour alignments and depositional features. The mapping of all these features coupled with CTD data allows to further understand the pathway and deceleration of the MOW, in addition to aid the conceptual identification of contourite terrace

Plaque-Associated Oligomeric Amyloid-Beta Drives Early Synaptotoxicity in APP/PS1 Mice Hippocampus: Ultrastructural Pathology Analysis

Alzheimer’s disease (AD) is a devastating neurodegenerative disorder characterized by initial memory impairments that progress to dementia. In this sense, synaptic dysfunction and loss have been established as the pathological features that best correlate with the typical early cognitive decline in this disease. At the histopathological level, post mortem AD brains typically exhibit intraneuronal neurofibrillary tangles (NFTs) along with the accumulation of amyloid-beta (Abeta) peptides in the form of extracellular deposits. Specifically, the oligomeric soluble forms of Abeta are considered the most synaptotoxic species. In addition, neuritic plaques are Abeta deposits surrounded by activated microglia and astroglia cells together with abnormal swellings of neuronal processes named dystrophic neurites. These periplaque aberrant neurites are mostly presynaptic elements and represent the first pathological indicator of synaptic dysfunction. In terms of losing synaptic proteins, the hippocampus is one of the brain regions most affected in AD patients. In this work, we report an early decline in spatial memory, along with hippocampal synaptic changes, in an amyloidogenic APP/PS1 transgenic model. Quantitative electron microscopy revealed a spatial synaptotoxic pattern around neuritic plaques with significant loss of periplaque synaptic terminals, showing rising synapse loss close to the border, especially in larger plaques. Moreover, dystrophic presynapses were filled with autophagic vesicles in detriment of the presynaptic vesicular density, probably interfering with synaptic function at very early synaptopathological disease stages. Electron immunogold labeling showed that the periphery of amyloid plaques, and the associated dystrophic neurites, was enriched in Abeta oligomers supporting an extracellular location of the synaptotoxins. Finally, the incubation of primary neurons with soluble fractions derived from 6-month-old APP/PS1 hippocampus induced significant loss of synaptic proteins, but not neuronal death. Indeed, this preclinical transgenic model could serve to investigate therapies targeted at initial stages of synaptic dysfunction relevant to the prodromal and early AD.Instituto de Salud Carlos III (ISCiii) FEDER funds PI18/01557 and PI18/01556Junta de Andalucia UMA18-FEDERJA-211, P18-RT-2233 and US-126273Spanish Minister of Science and Innovation PID2019-108911RA-100, PID2019-107090RA-I00 and RYC-2017-21879Malaga University B1-2019_07 and B1-2019_0

Encapsulation of Cynara Cardunculus Guaiane-type Lactones in Fully Organic Nanotubes Enhances Their Phytotoxic Properties

The encapsulation of bioactive natural products has emerged as a relevant tool for modifying the poor physicochemical properties often exhibited by agrochemicals. In this regard, natural guaiane-type sesquiterpene lactones isolated from Cynara cardunculus L. have been encapsulated in a core/shell nanotube(c)agrochemical system. Monitoring of the F and O signals in marked sesquiterpenes confirmed that the compound is present in the nanotube cavity. These structures were characterized using scanning transmission electron microscopy-X-ray energy-dispersive spectrometry techniques, which revealed the spatial layout relationship and confirmed encapsulation of the sesquiterpene lactone derivative. In addition, biological studies were performed with aguerin B (1), cynaropicrin (2), and grosheimin (3) on the inhibition of germination, roots, and shoots in weeds (Phalaris arundinacea L., Lolium perenne L., and Portulaca oleracea L.). Encapsulation of lactones in nanotubes gives better results than those for the nonencapsulated compounds, thereby reinforcing the application of fully organic nanotubes for the sustainable use of agrochemicals in the future.This research was funded by the Agencia Estatal de Investigacion, Ministerio de Ciencia e Innovacion, grant number PID2020-115747RB-I00/AEI/10.13039/501100011033, Spain. F. J.R.M thanks the University of Cadiz for postdoctoral support under grant 2018-009/PU/EPIF-FPI-CT/CP. Furthermore, this work has received financial support from the Junta de Andalucia (FQM334), MINECO/FEDER (projects MAT2017-87579-R). This project has received funding from the European Union's Horizon 2020 research and innovation program under grant 823717-ESTEEM3. STEM studies were performed at the DME Facilities of SCCYT at the University of Cadiz. We also thank Semillas Fito (Barcelona, Spain) for kindly supplying us with wheat seeds

Desarrollando herramientas para la gestión efectiva y eficiente de la calidad

La gestión de la calidad del Software es una tarea que indica el grado de concordancia existente entre el software producido con respecto a los requisitos especificados y las necesidades del cliente. En este artículo, hablaremos sobre QuEF (Quality Evaluation Framework) y sus herramientas. QuEF es un framework que permite realizar las distintas tareas de la gestión de la calidad en base a un modelo, de forma que los elementos software usados para la misma puedan ser generados de forma automática o semiautomática en base a la definición del modelo. Inicialmente se desarrolló para analizar, evaluar y mejorar la calidad de metodologías de ingeniería Web guiadas por modelos, aunque actualmente se ha orientado a un framework genérico capaz de gestionar la calidad de productos, procesos o servicios. QuEF define cinco fases las cuales requieren de unas herramientas para poder llevarlas a cabo de forma rápida y eficiente. Las primeras herramientas de soporte fueron desarrolladas como un plugin para la aplicación Entreprise Architect, una herramienta CASE que limitaba su uso a aquellos que tuvieran una licencia. Actualmente se están desarrollando una serie de herramientas que conforman un entorno capaz de llevar a cabo las distintas fases del framework QuEF. Con estas nuevas herramientas, QuEF comienza su independencia en el mercado laboral como una herramienta menos costosa y más asequible técnicamente para los usuarios