1,489 research outputs found

    Pleasing the 'Bubble:' Abe Shinzo's Strategic Self-Exhibition on Facebook

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    Not only is Abe Shinzo on the way to becoming Japan's longest-serving Prime Minister in the country's history. With more than 1 million followers on Twitter and slightly less than 600 hundred thousand fans on Facebook, he is by far the most successful Japanese political leader on social media. Commentators have described Abe's turn to social networking services (SNS) as a "revenge" against "traditional" media against the background of a growing use of SNSs by other major Japanese political actors. At any rate, particularly through Facebook, combining text and pictures of himself on and off duty, Abe has successfully established his own mode to communicate with and "exhibit" himself to voters, citizens and the global community of netizens. This paper aims to address the following research question: on which themes and key concepts is this "presentation of the self" based? In other words, how is the Prime Minister communication staff constructing Abe's "social" image and to which audience is this aimed? Based on Goffman's theorization and later application of his work on the study of online social interactions, this paper illustrates the strive to ensure the consistency of Abe's use of the SNS with previously expressed concepts and ideas (e.g., in the 2006 book "A Beautiful Country"), with the aim of pleasing the "bubble" of like-minded individuals constituting Abe's (online) support base, and avoid issues that might possibly harm the Prime Minister's reputation. Abe's Facebook activity (a combination of text and pictures) during a critical time in his second tenure (2017), in which he faced cronyism allegations while coping with gaffes and scandals involving cabinet members, provided a case in point for multimedia content analysis

    Technical Note: Real-time updating procedure for flood forecasting with conceptual HBV-type models

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    International audienceFlood forecasting is of increasing importance as it comes to an increasing variability in global and local climates. But rainfall-runoff models are far from being perfect. In order to achieve a better prediction for emerging flood events, the model outputs have to be continuously updated. This contribution introduces a rather simple, yet effective updating procedure for the conceptual distributed rainfall-runoff model PREVAH, whose runoff generation module relies on similar algorithms as the HBV-Model. The current conditions of the system, i.e. the contents of the upper soil reservoirs, are updated by the proposed method. The testing of the updating procedure on data from two mountainous catchments in Switzerland reveals a significant increase in prediction accuracy with regards to peak flow

    Sections of Coxeter Orbihedra

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    We study sections of high dimensional polytopes whose vertices form the orbit of a Coxeter group, and create “scans”of such polytopes in order to graphically visualise them for educational and public engagement purposes

    Hydrological aspects of the Mesoscale Alpine Programme: finding from field experiments and simulations

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    Proc. International Conference on Alpine Metorology, Zagreb 23-27 Ma

    Technical Note: Updating procedure for flood forecasting with conceptual HBV-type models

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    International audienceFlood forecasting is of increasing importance as it comes to an increasing variability in global and local climates. But rainfall-runoff models are far from being perfect. In order to achieve a better prediction for emerging flood events, the model outputs have to be continuously updated. This contribution introduces a rather simple, yet effective updating procedure for the conceptual semi-distributed rainfall-runoff model PREVAH, whose runoff generation module relies on similar algorithms as the HBV-Model. The current conditions of the system, i.e. the contents of the upper soil reservoirs, are updated by the proposed method. The testing of the updating procedure on data from two mountainous catchments in Switzerland reveals a significant increase in prediction accuracy with regards to peak flow

    HYDROLOGICAL ASPECTS OF THE MESOSCALE ALPINE PROGRAMME: FINDINGS FROM FIELD EXPERIMENTS AND SIMULATIONS

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    Results of the Mesoscale Alpine Programme provide some answers to basic scientific questions of hydrological relevance posed in its scientific plan i.e: 1. verify the forecasting capabilities of a hydrological flood model, forced by the special measurements or coupled with advanced mesoscale atmospheric prediction models; 2. assess the role of the water storage in reservoirs on the runoff generation during floods in mountainous regions; 3. study the influence of soil moisture conditions prior to flood events in determining the production of runoff and investigate the capabilities and limitations of some soil moisture monitoring techniques over rugged terrain. Summary results from investigations in some areas in the southern (Toce, Ticino, Verzasca and Maggia watersheds) and northern (Ammer watershed) side of the Alps during the Mesoscale Alpine Programme and the 1999 Special Observing Period experiment are presented

    Monthly hydrometeorological ensemble prediction of streamflow droughts and corresponding drought indices

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    Streamflow droughts, characterized by low runoff as consequence of a drought event, affect numerous aspects of life. Economic sectors that are impacted by low streamflow are, e.g., power production, agriculture, tourism, water quality management and shipping. Those sectors could potentially benefit from forecasts of streamflow drought events, even of short events on the monthly time scales or below. Numerical hydrometeorological models have increasingly been used to forecast low streamflow and have become the focus of recent research. Here, we consider daily ensemble runoff forecasts for the river Thur, which has its source in the Swiss Alps. We focus on the evaluation of low streamflow and of the derived indices as duration, severity and magnitude, characterizing streamflow droughts up to a lead time of one month. <br><br> The ECMWF VarEPS 5-member ensemble reforecast, which covers 18 yr, is used as forcing for the hydrological model PREVAH. A thorough verification reveals that, compared to probabilistic peak-flow forecasts, which show skill up to a lead time of two weeks, forecasts of streamflow droughts are skilful over the entire forecast range of one month. For forecasts at the lower end of the runoff regime, the quality of the initial state seems to be crucial to achieve a good forecast quality in the longer range. It is shown that the states used in this study to initialize forecasts satisfy this requirement. The produced forecasts of streamflow drought indices, derived from the ensemble forecasts, could be beneficially included in a decision-making process. This is valid for probabilistic forecasts of streamflow drought events falling below a daily varying threshold, based on a quantile derived from a runoff climatology. Although the forecasts have a tendency to overpredict streamflow droughts, it is shown that the relative economic value of the ensemble forecasts reaches up to 60%, in case a forecast user is able to take preventive action based on the forecast

    Failure analysis of thin metal foils

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    The mechanical response and the failure mode of thin metal foils under tensile load has been analyzed supplementing the usual test records with full-field measurements performed by three-dimensional digital image correlation (3D DIC) techniques. The experiments have been simulated by finite element models formulated within a non-linear continuum framework. The study presented in this contribution concerns symmetrically pre-cracked aluminum samples. The wrinkling of the specimens during the test and the possible and alternative failure mechanisms are evidenced and discussed
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