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Democracy is considered to be the ideal foundation of societies today. In a democratic society, news media play a highly relevant role as avenues by which public and political powers can interact with society and facilitate civic participation. The public’s perception of the news media’s reputation is a crucial factor for enhancing trust and citizen engagement. This article presents a study of the reputation of the media (paper press, digital press, radio and television) in ten European countries: Austria, Belgium, France, Germany, Italy, Poland, Portugal, Romania, Sweden, and the United Kingdom. A quantitative method was applied to the results of a survey conducted to determine the reputation of news media among a sample of the informed population in those countries (1,000 residents of legal age who used media at least two or three times a week). The concept of reputation is thereby characterized in its association with the media, identifying its integrating attributes and assessing its incidence in each type of medium. The results indicate that, although television is the most widely used medium, the printed press enjoys a higher reputation in most of the countries studied, being seen as having the attributes of credibility and informative rigor. This study provides a detailed analysis of the scores given to media reputation attributes in the considered countries. It also offers a ranking of the media with the highest reputation in the countries examined, as well as a description of the reputational position of each medium. [ABSTRACT FROM AUTHOR]

The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data. Neural networks, such as long short-term memory (LSTM) and the gated recurrent unit (GRU), are good predictors for univariate and multivariate data. The present paper describes a case study where the performances of long short-term memory and gated recurrent units are compared, based on different hyperparameters. In general, gated recurrent units exhibit better performance, based on a case study on pulp paper presses. The final result demonstrates that, to maximize the equipment availability, gated recurrent units, as demonstrated in the paper, are the best options.

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Introduction. The research analyzes 6 scientific and pseudoscientific magazines in terms of web 2.0 tool usage and informational treatment. Methodology. The digital ecosystem of the journals is explored and described, and subsequently a quantitative and qualitative content analysis of 232 units is elaborated. This sample is probabilistic and selected randomly from a universe of 1,434 publications of the journal web, Facebook, Twitter, YouTube and Instagram accounts. Results and conclusions. The results show that use of 2.0 resources is basic and features of social networks are hardly exploited. In addition, although many images are used, news are not accompanied by videos, info-graphics or other types of interactive resources. The information treatment presents a need of improvement, more news should be accompanied by their authorship and the source of images more often captioned. [ABSTRACT FROM AUTHOR]

In recent years, experts from around the world have warned that printed newspapers may disappear in the medium term. In some cases, even specific dates were given. The proliferation of digital media and the paradigma shift in our society are usually mentioned among the causes of this disappearance, especially when it comes to the media. Focusing particularly on theSpanish case, this paper offers an alternative vision, providing evidence that it's not the first time a possible disappearance of printed newspapers is being discussed, that the Internet isn't the main reason for the crisis hitting the sector, and that newspapers aren't facing the worst crisis in thirty years. Although both printed newspapers and printed books could disappear in a still distant future, no concluding evidence points in that direction and this kind of statements are not to be recommended. [ABSTRACT FROM AUTHOR]

The accuracy of a predictive system is critical for predictive maintenance and to support the right decisions at the right times. Statistical models, such as ARIMA and SARIMA, are unable to describe the stochastic nature of the data. Neural networks, such as long short-term memory (LSTM) and the gated recurrent unit (GRU), are good predictors for univariate and multivariate data. The present paper describes a case study where the performances of long short-term memory and gated recurrent units are compared, based on different hyperparameters. In general, gated recurrent units exhibit better performance, based on a case study on pulp paper presses. The final result demonstrates that, to maximize the equipment availability, gated recurrent units, as demonstrated in the paper, are the best options. [ABSTRACT FROM AUTHOR]