This paper analyzes the war in Ukraine as an outcome of multilayered rivalry combined with unintentional mistakes committed by all possible sides. The first layer of competition concerns domestic ...differences visible between the Western and Eastern part of Ukraine. The second layer covers the regional rivalry between Poland and Russia, which has significantly contributed to the instability of Eastern Europe for several centuries. Finally, the third layer concerns the geopolitical game for influence between the West, led by the United States, and Russia along with several satellite states. Ukraine proved to be just another object of this competition, composed of such events as the Kosovo intervention, the Orange Revolution, the Caucasus war in 2008 and the Syrian chemical crisis.
The availability of robust end-to-end ML processes plays a crucial role in delivering an accurate and reliable system for real-time text data inference. In this paper, we present an approach to ...building machine learning operations (MLOps) and an observability application to perform topic modelling of online discussions in social media, here observed based on topics and threads related to the Russian war in Ukraine. Splunk Enterprise is the main tool and platform used throughout this research with its knowledge discovery, dashboarding, and alerting. 30GB of social media text data coming from a Russian social network VKontakte over the time line January 2022 to May 2023. Main inquiries included text mining and topic modelling, which we managed to perform over the observation period using Python frameworks, mainly gensim for text processing and MLflow for experiment management and logging. The Splunk architecture allowed us to ingest and analyse the results and prediction of ML experiments for dynamic topic modelling, and served as a MLOps solution. The designed set of five dashboards played a crucial role in determining the optimal model hyperparameters (number of topics, A-priori belief on document-topic distribution, number of total corpus passes) and drift detection which occurred almost every two-three weeks depending on the phase of the war. Our application assisted us with text analysis, discovering how events on the battlefield influenced social media discussions, and what post attributes contributed to a high user engagement. With our setup we were able to find out how antiwar hashtags have been used to promote misleading content actually supporting the war against Ukraine. The analysis of the researched discussions shows a trend where usage of adjectives decreased over time since the war has started, whereas an increase for nouns and verbs usage over time. Information distortion has steadily been present in the content leading to bias and misleading data in social media discussions.
Entrepreneurship is one of the most important components of the modern market economy. Important features of entrepreneurship include expansiveness, innovation and the ability for companies to adapt ...to changing environmental conditions. These elements are also noticeable in the case of hotel companies, which are among the oldest types of business entities operating in the world. Innovation in hospitality contributes to the improvement of competitive market positioning, as well as effects on the interest of customers. The aim of the publication is to discuss current examples of innovative activities of hotel companies. The article takes into account the significant impact of the Covid-19 pandemic and the war in Ukraine on innovations within these enterprises. For the purpose of achieving the objectives of the publication, the Polish hotel market was taken into account. The subject of the publication concerns an important issue of innovation in the hotel industry. The hotel sector has been particularly affected by unexpected changes in the economic environment. However, despite the difficult situation and uncertain future, the Polish hospitality still provides the examples of innovative activities worth discussing. The motives for choosing the subject of the publication are also the author's personal scientific interests, as well as a limited number of the references on this subject, especially from the most recent period. The paper describes and discusses the concept of innovation, especially in the hotel sector. The examples of the innovative activities in the Polish and foreign hotel companies are described. The most important achievements and successes in this field are presented. The article poses the following research thesis: The Covid-19 pandemic and the war crisis have not significantly affected innovation in the hotel companies in Poland. The article was created using book materials, journals, and netographic information. The research method used in the publication is the analysis of the existing data and literary criticism. The results of the research positively verify the thesis.
The article deals with the development of cyber threats in the period just before and during the Covid-19 pandemic, i.e. from the turn of 2019/2020, 2021 and 2022. The focus is mainly on attacks on ...hospitals in the Czech Republic and briefly mentions large-scale cyber attacks on hospitals in France and Spain. Attention is also given to cyber attacks in the education sector over the period. The article also discusses cyber attacks in Ukraine in the run-up to the conflict with Russia. Attention is paid to the most common cyber attacks from that period, discusses the causes of cyber attacks, and summarizes research on phishing attacks.
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