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How is it actually? Numbers and sets
No full textAutoři se zamýšlejí nad pojmem číslo a nad číselnými obory, a to z hlediska didaktického. Blíže se věnují pojmu přirozené číslo, desetinné číslo a zlomek. S oporou o učebnice diskutují o vhodnosti vymezení těchto pojmů
Radiologická asistence
Get PDFTematické okruhy z předmětů: Radioterapie 1–3, Přístrojová technika 1–2
Czech-Slovak Mathematical Olympiad in the 1950s
No full textS Matematickou olympiádou se dnes setkávají již žáci 5. ročníku ZŠ. Je pro ně jednou ze soutěží, které se zohledňují při přijímání na víceletá gymnázia. Většina učitelů matematiky však tuší, že se jedná o nejstarší z předmětových olympiád. V tomto příspěvku nahlédneme do historie prvních osmi ročníků, a to od vzniku československé matematické olympiády v roce 1951 do vzniku Mezinárodní matematické olympiády v roce 1959, přičemž se zaměříme na obraz soutěže v očích matematiků, kteří ji pořádali, a veřejnosti, včetně soutěžících.Nowadays, pupils encounter Mathematical Olympiad already in the 5th grade. For them, it is one of the competitions considered during the admission procedure to selective secondary schools. However, most mathematics teachers know that it is the oldest from school subject Olympiads. In this contribution, we look at the history of the competition during its first eight years, namely from the founding of the Czechoslovak Mathematical Olympiad in 1951 until the founding of the International Mathematical Olympiad in 1959, while we will mainly focus on the image of the competition in the eyes of the mathematicians who organised it as well as in the eyes of the public, including the competitors
Multiscale non-linear tale risk spillover effect from oil to stocks – The case of East European emerging markets
Get PDFThis paper investigates the multiscale non-linear risk transmission effect from Brent oil to eleven European emerging stock markets. Dynamic extreme risk time series are created using the FIAPARCH-CVaR approach. The MODWT transformation is applied to make three wavelet details that represent different time horizons. In the final step, the MODWT time series are fitted into the Markov switching model to examine the spillover phenomenon. The results indicate that the Czech and Hungarian stock markets endure the spillover effect in crisis regime in the short term, probably because these markets are among the most efficient emerging European markets. On the other hand, a relatively high spillover effect is found in a peaceful rather than a crisis regime in the case of Poland. This is probably because the Polish index lists almost 300 stocks, which means that oil shocks disperse to a large number of different industry sectors. In small and less developed markets, such as Estonia, Slovenia, Bulgaria, and Croatia, a high spillover effect exists in a tranquil regime because these countries have high oil consumption per capita. Lithuania and Latvia do not report the spillover effect in the short run, while this is true for all time horizons in the case of Slovakia
Navigating the human element: Unveiling insights into workforce dynamics in supply chain automation through smart bibliometric analysis
Get PDFThis study aims to create a scientific map of supply chain automation research focusing on human resources management, which will be applicable in practice and widen the knowledge in theory. It introduces the scientific articles, subject areas and dominant research topics related to supply chain automation, focusing on human resources management. In this study, 509 publications retrieved from the Scopus database were analyzed by a novel methodological approach – a smart bibliometric literature review using Latent Dirichlet Allocation with Gibbs sampling. The study processes scientific articles with automated tools. It uses a novel machine-learning-based methodological approach to identify latent topics from many scientific articles. This approach creates the possibility of comprehensively capturing the areas of supply chain automation focusing on human resources management and offers a science map of this rapidly developing area. This kind of smart literature review based on a machine learning approach can process a large number of documents. Simultaneously, it can find topics that a standard bibliometric analysis would not show. The authors of the study identified six topics related to supply chain automation, focusing on human resources management, specifically (1) network design, (2) sustainable performance and practices, (3) efficient production, (4) technology-based innovations and changes, (5) management of business and operations, and (6) global company strategies. The study’s results offer key insights for decision-makers, illuminating essential themes related to automation integration in the supply chain and the vital role of human resources in this transformation. The limitations of this study are the qualitative level of results provided by the machine learning approach, which does not contain manual analysis of documents and the subjectivity of the expert process to set the appropriate number of topics
