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Estructura de la presentacin ; LTRA-3 (Watershed-based NRM for Small-scale Agriculture)

El viraje del gobierno de Lenin Moreno hacia el neoliberalismo, poniendo en bandeja de plata el Estado a la oligarquía ha suscitado los más diversos debates sobre el carácter de su administración, ¿transición o continuidad? El presente texto discute la tesis de continuidad debatiendo sobre las particularidades de la Revolución Ciudadana, el ascenso oligárquico de la mano de Moreno, legitimado por la Consulta Popular de 2018, el proceso de desinstitucionalización – "descorreización" –, así como los posibles escenarios de muerte cruzada y los resultados de las elecciones seccionales de 2019. ; The turn of the Lenin Moreno government towards neoliberalism, putting the State on a silver platter to the oligarchy has provoked the most diverse debates about the character of its administration, transition or continuity? This text discusses the thesis of continuity debating on the particularities of the "Revolución Ciudadana", the oligarchic rise of the hand of Moreno, legitimized by the "Consulta Popular" of 2018, the deinstitutionalization process - "descorreización" -, the possible scenarios of "crossed death" and the results of the sectional elections of 2019.

The turn of the Lenin Moreno government towards neoliberalism, putting the State on a silver platter to the oligarchy has provoked the most diverse debates about the character of its administration, transition or continuity? This text discusses the thesis of continuity debating on the particularities of the "Revolución Ciudadana", the oligarchic rise of the hand of Moreno, legitimized by the "Consulta Popular" of 2018, the deinstitutionalization process - "descorreización" -, the possible scenarios of "crossed death" and the results of the sectional elections of 2019. ; El viraje del gobierno de Lenin Moreno hacia el neoliberalismo, poniendo en bandeja de plata el Estado a la oligarquía ha suscitado los más diversos debates sobre el carácter de su administración, ¿transición o continuidad? El presente texto discute la tesis de continuidad debatiendo sobre las particularidades de la Revolución Ciudadana, el ascenso oligárquico de la mano de Moreno, legitimado por la Consulta Popular de 2018, el proceso de desinstitucionalización – "descorreización" –, así como los posibles escenarios de muerte cruzada y los resultados de las elecciones seccionales de 2019.

The paper introduces new methods for inference with count data registered on a set of aggregation units. Such data are omnipresent in epidemiology because of confidentiality issues: it is much more common to know the county in which an individual resides, say, than to know their exact location in space. Inference for aggregated data has traditionally made use of models for discrete spatial variation, e.g. conditional auto-regressive models. We argue that such discrete models can be improved from both a scientific and an inferential perspective by using spatiotemporally continuous models to model the aggregated counts directly. We introduce methods for delivering (limiting) continuous inference with spatiotemporal aggregated count data in which the aggregation units might change over time and are subject to uncertainty. We illustrate our methods by using two examples: from epidemiology, spatial prediction of malaria incidence in Namibia, and, from politics, forecasting voting under the proposed changes to parliamentary boundaries in the UK. © 2018 Royal Statistical Society

Smart grids technologies are enablers of new business models for domestic consumers with local flexibility (generation, loads, storage) and where access to data is a key requirement in the value stream. However, legislation on personal data privacy and protection imposes the need to develop local models for flexibility modeling and forecasting and exchange models instead of personal data. This paper describes the functional architecture of an home energy management system (HEMS) and its optimization functions. A set of data-driven models, embedded in the HEMS, are discussed for improving renewable energy forecasting skill and modeling multi-period flexibility of distributed energy resources.

A radiological dispersal device (RDD) is a simple weapon capable of causing human harm, environmental contamination, disruption, area denial, and economic cost. It can affect small, large, or long areas depending on atmospheric stability. The risk of developing a radio‐induced cancer depends on exposure, and an effective response depends upon available timely guidance. This article proposes and demonstrates a convergence of three different capabilities to assess risk and support rapid safe resource efficient response. The three capabilities that are integrated are Hotspot for dispersion, RERF for epidemiological risk, and RESRAD‐RDD for response guidance. The combined methodology supports decisions on risk reduction and resource allocation through work schedules, the designation and composition of response teams, and siting for operations. In the illustrative RDD scenario, the contamination area for sheltering, evacuation, and long‐term public concern was greatest for calm atmospheric conditions, whilst close‐quarter responders faced highest dose rates for neutral atmospheric conditions. Generally, the risks to women responders were found to be significantly greater than for men, and the risks to 20‐year‐old responders were three times that of their 60‐year‐old counterparts for similar exposure.