Organizational-communicative impact of collective action "Las Periodistas Paramos" 2018 in Spain

Esta investigación analiza los resultados inmediatos y consecutivos de la acción colectiva “Las Periodistas Paramos” que tuvo lugar en España en 2018, a propósito de la huelga feminista del 8M. Se utilizan la revisión bibliográfica y la entrevista en profundidad para conocer las formas de organización establecidas como consecuencia de LPP, y su aporte al capital social del movimiento feminista. Entre los resultados se obtiene la creación de redes territoriales de mujeres, un cambio de perspectiva en torno a la igualdad de género en los medios de comunicación, así como una contribución efectiva de capital social a la cuarta ola del movimiento feminista.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

Entropy and Fractal Techniques for Monitoring Fish Behaviour and Welfare in Aquacultural Precision Fish Farming—A Review

In a non-linear system, such as a biological system, the change of the output (e.g., behaviour) is not proportional to the change of the input (e.g., exposure to stressors). In addition, biological systems also change over time, i.e., they are dynamic. Non-linear dynamical analyses of biological systems have revealed hidden structures and patterns of behaviour that are not discernible by classical methods. Entropy analyses can quantify their degree of predictability and the directionality of individual interactions, while fractal dimension (FD) analyses can expose patterns of behaviour within apparently random ones. The incorporation of these techniques into the architecture of precision fish farming (PFF) and intelligent aquaculture (IA) is becoming increasingly necessary to understand and predict the evolution of the status of farmed fish. This review summarizes recent works on the application of entropy and FD techniques to selected individual and collective fish behaviours influenced by the number of fish, tagging, pain, preying/feed search, fear/anxiety (and its modulation) and positive emotional contagion (the social contagion of positive emotions). Furthermore, it presents an investigation of collective and individual interactions in shoals, an exposure of the dynamics of inter-individual relationships and hierarchies, and the identification of individuals in groups. While most of the works have been carried out using model species, we believe that they have clear applications in PFF. The review ends by describing some of the major challenges in the field, two of which are, unsurprisingly, the acquisition of high-quality, reliable raw data and the construction of large, reliable databases of non-linear behavioural data for different species and farming conditions.The work was supported by the Spanish MINECO (Grant RTC-2014–2837-2- “SELATUN: Minimización de la problemática del mercurio del atún y valorización del atún como alimento saludable, Programa Retos-Colaboración 2014”. The funding source had no involvement in the preparation of this manuscript

Non-Linear Analyses of Fish Behaviours in Response to Aquatic Environmental Pollutants—A Review

Analysis of fish behaviour is an effective way to indirectly identify the presence of environmental pollutants that negatively affect fish life, its production and quality. Monitoring individual and collective behaviours produces large amounts of non-linear data that require tailor-suited computational methods to interpret and manage the information. Fractal dimension (FD) and entropy are two groups of such non-linear analysing methods that serve as indicators of the complexity (FD) and predictability (entropy) of the behaviours. Since behavioural complexity and predictability may be modulated by contaminants, the changes in its FD and entropy values have a clear potential to be embedded in a biological early warning system (BEWS), which may be particularly useful in Precision Fish Farming settings and to monitor wild populations. This work presents a review of the effects of a wide range of environmental contaminants, including toxic compounds, cleaning and disinfecting agents, stimulant (caffeine), anaesthetics and antibiotics, heavy metals (lead, cupper, and mercury), selenium, pesticides and persistent environmental pollutants, on the FD and entropy values of collective and individual behavioural responses of different fish species. All the revised studies demonstrate the usefulness of both FD and entropy to indicate the presence of pollutants and underline the need to consider early changes in the trend of the evolution of their values prior to them becoming significantly different from the control values, i.e., while it is still possible to identify the contaminant and preserve the health and integrity of the fish.The work was supported by the Spanish Ministerio de Economía y Competitividad MINECO (Grant RTC-2014–2837-2 “SELATUN: Minimización de la problemática del mercurio del atún y valorización del atún como alimento saludable, Programa Retos-Colaboración 2014”. The funding source had no involvement in the preparation of this manuscript. I. Martinez is supported by IKERBASQUE (Basque Foundation for Science)

La gran mutación. El capitalismo real del siglo xxi

La presente, es una crisis múltiple y transdisciplinaria; el complejo financiero ha tomado el control de la marcha económica y del Estado en Gran Bretaña y Estados Unidos desde los años ochenta dentro del campo económico- financiero, lo cual ha avanzado de manera creciente, por lo que se ha llegado a sostener tanto un sentido común académico, como una política macroeconómica cuya finalidad es concentrar el ingreso. Dada la evidencia contundente que se ha presentado desde África hasta Europa en las últimas décadas, el objeto de la política macroeconómica no ha sido estabilizar la macroeconomía, sino concentrar el ingreso

The Shannon Entropy Trend of a Fish System Estimated by a Machine Vision Approach Seems to Reflect the Molar Se:Hg Ratio of Its Feed

The present study investigates the suitability of a machine vision-based method to detect deviations in the Shannon entropy (SE) of a European seabass (Dicentrarchus labrax) biological system fed with different selenium: mercury (Se:Hg) molar ratios. Four groups of fish were fed during 14 days with commercial feed (control) and with the same feed spiked with 0.5, 5 and 10 mg of MeHg per kg, giving Se: Hg molar ratios of 29.5 (control-C-1); 6.6, 0.8 and 0.4 (C-2, C-3 and C-4). The basal SE of C-1 and C-2 (Se:Hg > 1) tended to increase during the experimental period, while that of C-3 and C-4 (Se:Hg < 1) tended to decrease. In addition, the differences in the SE of the four systems in response to a stochastic event minus that of the respective basal states were less pronounced in the systems fed with Se: Hg molar ratios lower than one (C-3 and C-4). These results indicate that the SE may be a suitable indicator for the prediction of seafood safety and fish health (i.e., the Se: Hg molar ratio and not the Hg concentration alone) prior to the displaying of pathological symptoms. We hope that this work can serve as a first step for further investigations to confirm and validate the present results prior to their potential implementation in practical settings.We wish to thank Grupo Tinamenor (Cantabria, Spain) for providing the European seabass. Jose Antonio Carrero, of the Department of Analytical Chemistry of the University of the Basque Country, UPV-EHU, measured the concentrations of Hg and Se in the feeds by ICP-MS. The work was supported by grants from the Spanish MINECO (RTC-2014-2837-2-"SELATUN: Minimizacion de la problematica del mercurio del atun y valorizacion del atun como alimento saludable, Programa Retos-Colaboracion 2014" and CTM2012-40203-C02-01-"BMW: Biomarcadores estandar de base cientifica en mejillon para diagnosticar y monitorizar los efectos biologicos de la polucion en el Golfo de Bizkaia: implementacion de la DEME"), Euskampus Fundazioa-Campus of International Excellence (307615SAA2) and from the Basque Government Elkartek Grant KK-2016/00057-"MAROMEGA: Nuevas alternativas para la produccion de omega-3 a partir derecursos marinos". The funding sources had no involvement in the preparation of this manuscript. We would like to express our gratitude to the three anonymous reviewers for their useful comments in order to improve this manuscript

Linking Anomalous Behaviour with Stellar Properties: An Unsupervised Exploration of TESS Light Curves

With the upcoming plethora of astronomical time-domain datasets and surveys, anomaly detection as a way to discover new types of variable stars and transients has inspired a new wave of research. Yet, the fundamental definition of what constitutes an anomaly and how this depends on the overall properties of the population of light curves studied remains a discussed issue. Building on a previous study focused on Kepler light curves, we present an analysis that uses the Unsupervised Random Forest to search for anomalies in TESS light curves. We provide a catalogue of anomalous light curves, classify them according to their variability characteristics and associate their anomalous nature to any particular evolutionary stage or astrophysical configuration. For anomalies belonging to known classes (e.g. eclipsing binaries), we have investigated which physical parameters drive the anomaly score. We find a combination of unclassified anomalies and objects of a known class with outlying physical configurations, such as rapid pulsators, deep eclipsing binaries of long periods, and irregular light curves due to obscuration in YSOs. Remarkably, we find that the set of anomalous types differ between the Kepler and TESS datasets, indicating that the overall properties of the parent population are an important driver of anomalous behaviour.Comment: 23 pages, 26 figures. Submitted to MNRA

Proteomic Strategies to Evaluate the Impact of Farming Conditions on Food Quality and Safety in Aquaculture Products

This review presents the primary applications of various proteomic strategies to evaluate the impact of farming conditions on food quality and safety in aquaculture products. Aquaculture is a quickly growing sector that represents 47% of total fish production. Food quality, dietary management, fish welfare, the stress response, food safety, and antibiotic resistance, which are covered by this review, are among the primary topics in which proteomic techniques and strategies are being successfully applied. The review concludes by outlining future directions and potential perspectives.This research was funded by GAIN-Xunta de Galicia Project (IN607D 2017/01) and the Agencia Estatal de Investigación (AEI) of Spain and the European Regional Development Fund through project CTM2017-84763-C3-1-R. M.C. is supported by the Ramón y Cajal Contract (RYC-2016-20419, Ministry of Science, Innovation and Universities of Spain)

Mid-infrared spectroscopy of starbursts : from Spitzer-IRS to JWST-MIRI

The Spectral Energy Distributions (SEDs) of star-forming regions and starburst galaxies are unique tracers of the star formation processes in these environments, since they contain information on the escaping and processed photons emitted by newly formed massive stars. Understanding these internal processes is crucial in our physical interpretation of observations of unresolved star formation in the Universe. In the __rst part of this thesis, we study the physical conditions in resolved starburst regions using Bayesian __tting of their spatially integrated infrared SEDs, including both the thermal continuum and the atomic emission lines. We then apply the method to unresolved starburst to learn about their star formation physics. Our approach leads to robust constraints on physical parameters such as age, compactness, and amount of currently ongoing star formation in starburst, which are otherwise biased by model degeneracies, and allows us to link the resolved properties of giant H II regions to the star formation process at larger scales. In the second part of this thesis, we discuss the wavelength calibration of the next instrument to study the midinfrared spectral properties of starbursts, with improved resolution and sensitivity: the mid-infrared instrument (MIRI), which will __y onboard the James Webb Space Telescope in 2018.UBL - phd migration 201

Infrared Emission by Dust Around lambda Bootis Stars: Debris Disks or Thermally Emitting Nebulae?

We present a model that describes stellar infrared excesses due to heating of the interstellar (IS) dust by a hot star passing through a diffuse IS cloud. This model is applied to six lambda Bootis stars with infrared excesses. Plausible values for the IS medium (ISM) density and relative velocity between the cloud and the star yield fits to the excess emission. This result is consistent with the diffusion/accretion hypothesis that lambda Bootis stars (A- to F-type stars with large underabundances of Fe-peak elements) owe their characteristics to interactions with the ISM. This proposal invokes radiation pressure from the star to repel the IS dust and excavate a paraboloidal dust cavity in the IS cloud, while the metal-poor gas is accreted onto the stellar photosphere. However, the measurements of the infrared excesses can also be fit by planetary debris disk models. A more detailed consideration of the conditions to produce lambda Bootis characteristics indicates that the majority of infrared-excess stars within the Local Bubble probably have debris disks. Nevertheless, more distant stars may often have excesses due to heating of interstellar material such as in our model.Comment: 10 pages, 5 figures, 4 tables, accepted by ApJ, emulateap