Gubernamentalidad policial del miedo sobre los movimientos sociales en torno al 15M en Catalunya (2011-2012)

La crisis financiera de 2008 inició un periodo de importantes cambios estructurales globales que están afectando significativamente la vida de numerosos paises y la protesta social aumentó. Para la implementación de estos cambios, se recurrió a formas de gubernamentalidad de excepción relacionadas con lógicas bélicas. En esas lógicas, el miedo es frecuentemente utilizado como instrumento para la conducción de las conductas de la población. En este artículo, nos preguntamos sobre el uso del miedo como instrumento de gubernamentalidad; analizamos cómo fue la gestión del miedo en la actuación policial sobre las movilizaciones sociales y su posible concordancia con esas lógicas bélicas de excepción en la situación en Catalunya, en tiempos de la movilización social en torno al 15M, también conocida como de los indignados (2011-2012). Realizamos una investigacion de campo en lo cotidiano a través de la cual localizamos numerosas actuaciones gubernamentales y policiales relacionables con la gestión del miedo.The financial crisis of 2008 began a period of major global structural changes that are significantly affecting the lives of many countries and social protest increases. To implement these changes, it is resorting to forms of governmentality of exception related to military logic. In these logics, fear is often used as a tool for driving the behavior of the population. In this article, we asked about the use of fear as a tool of governmentality; we analyzed how is fear management in policing on the social movements and their possible consistent with those warlike logic of exception in the situation in Catalonia, in times of social mobilization around 15M, also known as the indignados (2011 -2012). We conducted a field research in everyday life through which we locate numerous government and policing activity relatable to the management of fear

A Bayesian Joinpoint regression model with an unknown number of break-points

Joinpoint regression is used to determine the number of segments needed to adequately explain the relationship between two variables. This methodology can be widely applied to real problems, but we focus on epidemiological data, the main goal being to uncover changes in the mortality time trend of a specific disease under study. Traditionally, Joinpoint regression problems have paid little or no attention to the quantification of uncertainty in the estimation of the number of change-points. In this context, we found a satisfactory way to handle the problem in the Bayesian methodology. Nevertheless, this novel approach involves significant difficulties (both theoretical and practical) since it implicitly entails a model selection (or testing) problem. In this study we face these challenges through (i) a novel reparameterization of the model, (ii) a conscientious definition of the prior distributions used and (iii) an encompassing approach which allows the use of MCMC simulation-based techniques to derive the results. The resulting methodology is flexible enough to make it possible to consider mortality counts (for epidemiological applications) as Poisson variables. The methodology is applied to the study of annual breast cancer mortality during the period 1980--2007 in Castell\'{o}n, a province in Spain.Comment: Published in at http://dx.doi.org/10.1214/11-AOAS471 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org

Change in Elasmobranchs and Other Incidental Species in the Spanish Deepwater Black Hake Trawl Fishery off Mauritania (1992–2001)

From 1992 to 2001, by-catch that was landed from the Spanish deepwater trawl fishery for black hake off Mauritania was closely monitored. This is a highly specialised fishery, with two species of black hake (Merluccius senegalensis and Merluccius polli) constituting between 77–99% of total landings, which have annually averaged 9 300 tons over the past two decades. Landings of Sparidae were highest among by-catch species of commercial value, with the large-eye dentex, Dentex macrophthalmus being the most important until 1996, after which the family Lophiidae and others predominated. Next were the Elasmobranchii, including large demersal squalids and several species of rays, although their annual landings fell from 182 tons in 1992 to only 4 tons in 1999, rising to 37 tons in 2001. The present paper analyses these changes using by-catches retained in the black hake fishery. We believe that the decline could be due to a set of different factors: a change in depths fished, economic reasons and probable over-exploitation of both targeted species and by-catch. Elasmobranchs constituted only 0.1% of total landings in 1999, compared to 1.9% in 1992, although their contribution to total commercial by-catch was constant. Seasonality was clearly evident, with an absolute and proportional rise in elasmobranch by-catch during warm periods, reaching 75% of by-catch landings in some months, coinciding with a drop in total by-catch. These seasonal variations could be related to the migratory habits of the fishery's target species, black hake

Composition of Demersal Fish Assemblages in Deep-waters of the Western Guinean Gulf

Data from deep water hauls carried out during the Spanish Research trawling Survey 'GUINEA -90', conducted in Sierra Leone, Liberia, Ivory Coast and Ghana, between 100 and 700 m depth, were analysed. The taxonomic list of the survey showed a total of 91 fish species caught between 100 and 700 m depth. The maximum species richness and the highest abundances were found between 2000 and 300 m (60 species), depth range corresponding to the breaking of the continental shelf and to the upper part of the slope. Despite the local differences, the 'GUINEA -90' Survey showed the existence of fish assemblages

Multi-step approach for automated scaling of photogrammetric micro-measurements

[EN] Photogrammetry can be used for the measurement of small objects with micro-features, with good results, low costs, and the possible addition of texture information to the 3D models. The performance of this technique is strongly affected by the scaling method, since it retrieves a model that must be scaled after its elaboration. In this paper, a fully automated multi-step scaling system is presented, which is based on machine vision algorithms for retrieving blurred areas. This method allows researchers to find the correct scale factor for a photogrammetric micro model and is experimentally compared to the existing manual method basing on the German guideline VDI/VDE 2634, Part 3. The experimental tests are performed on millimeter-sized certified workpieces, finding micrometric errors, when referred to reference measurements. As a consequence, the method is candidate to be used for measurements of micro-features. The proposed tool improves the performance of the manual method by eliminating operator-dependent procedures. The software tool is available online as supplementary material and represents a powerful tool to face scaling issues of micro-photogrammetric activities.Frangione, A.; Sánchez Salmerón, AJ.; Modica, F.; Percoco, G. (2019). Multi-step approach for automated scaling of photogrammetric micro-measurements. The International Journal of Advanced Manufacturing Technology. 102(1-4):747-757. https://doi.org/10.1007/s00170-018-03258-w7477571021-

Material-driven fibronectin assembly for high-efficiency presentation of growth factors

Growth factors (GFs) are powerful signaling molecules with the potential to drive regenerative strategies, including bone repair and vascularization. However, GFs are typically delivered in soluble format at supraphysiological doses because of rapid clearance and limited therapeutic impact. These high doses have serious side effects and are expensive. Although it is well established that GF interactions with extracellular matrix proteins such as fibronectin control GF presentation and activity, a translation-ready approach to unlocking GF potential has not been realized. We demonstrate a simple, robust, and controlled material-based approach to enhance the activity of GFs during tissue healing. The underlying mechanism is based on spontaneous fibrillar organization of fibronectin driven by adsorption onto the polymer poly(ethyl acrylate). Fibrillar fibronectin on this polymer, but not a globular conformation obtained on control polymers, promotes synergistic presentation of integrin-binding sites and bound bone morphogenetic protein 2 (BMP-2), which enhances mesenchymal stem cell osteogenesis in vitro and drives full regeneration of a nonhealing bone defect in vivo at low GF concentrations. This simple and translatable technology could unlock the full regenerative potential of GF therapies while improving safety and cost-effectiveness

GUBERNAMENTALIDAD POLICIAL SOBRE MOVIMIENTOS EMANCIPATORIOS: CATALUNYA 2011-2012

Diversos agentes institucionales de gobierno aplican sobre los acontecimientos y los movimientos emancipatorios un peculiar lenguaje que etiqueta, clasifica y significa en determinadas categorías. Desde esas categorizaciones y las dinámicas de pensamiento derivadas, estos agentes gubernamentales construyen versiones de la realidad política que proyectan ampliamente con el propósito de establecer todo aquello que pretenden sea considerado socialmente como real y verdadero. Estas categorías y formas de pensamiento constituyen herramientas tácticas que orientan la conducta social para el gobierno del conjunto de la población, corresponden a lógicas bélicas e implantan unas formas de relación social funcionales a un esfuerzo de guerra

Learning FCMs with multi-local and balanced memetic algorithms for forecasting industrial drying processes

In this paper, we propose a Fuzzy Cognitive Map (FCM) learning approach with a multi-local search in balanced memetic algorithms for forecasting industrial drying processes. The first contribution of this paper is to propose a FCM model by an Evolutionary Algorithm (EA), but the resulted FCM model is improved by a multi-local and balanced local search algorithm. Memetic algorithms can be tuned with different local search strategies (CMA-ES, SW, SSW and Simplex) and the balance of the effort between global and local search. To do this, we applied the proposed approach to the forecasting of moisture loss in industrial drying process. The thermal drying process is a relevant one used in many industrial processes such as food industry, biofuels production, detergents and dyes in powder production, pharmaceutical industry, reprography applications, textile industries, and others. This research also shows that exploration of the search space is more relevant than finding local optima in the FCM models tested