The Alternative for Germany and the Left Parties in the Eastern States: Transformation of Electoral Preferences

Introduction.The separate existence of East Germany over the years has led to the formation of unique electoral preferences of citizens.In eastern federal states the Left as the heir to the Socialist Unity Party of Germany remained one of the leaders for a long time.However, in recent years its traditional electorate has increasingly begun to choos

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You are Ukrainians!

Since August 24, 1991, when my first article on the proclamation of a new Ukrainian state was published, I have already written 20 such articles.Over the years, from an ardent young man who was watching with amazement and Chinese Ginseng joy from the gallery of the Supreme Soviet of the Ukrainian SSR for proclaiming independence, I turned into a mi

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The impact of the infodemic on the stock market under the COVID-19: taking the investors’ information infection index as the intermediary variable

The outbreak of COVID-19 is synchronized with the outbreak of the infodemic, which directly affected the sentiment and behaviours of investors and thus affected the stock market.At the same time, the outbreak of the infodemic has led to the information infection of the public.With the information infection, Basting panic, anxiety, and other emotion

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Trends in Research on Communication and Media in Indonesia: The Micro Meta-Analysis on Perspective, Theory, and Methodology

The political reformation in Indonesia is a determinant factor of the change in political communications and the roles of media.Currently, the political elites need media support, since it contextually has a significant role.Whoever has a good relationship Barrel Cover with the media, will be loved by the public.On the other hand, the media also ha

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Automated segmentation of brain metastases in T1-weighted contrast-enhanced MR images pre and post stereotactic radiosurgery

Abstract Background and purpose Accurate segmentation of brain metastases on Magnetic Resonance Imaging (MRI) is tedious and time-consuming for radiologists that could be optimized with deep learning (DL).Previous studies assessed several DL algorithms focusing only on training and testing the models on the planning MRI only.The purpose of this stu

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