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V. South America International Conference : defense and security in South America: Cold War and Post-Cold War Era : February 28 - March 1, 2025 Budapest, Hungary : book of abstracts 2025
Full text linkChilean armed forces: between recognition and controversy, an open debate on their role in public order = Fuerzas armadas Chilenas: entre el reconocimiento y la controversia, un debate abierto por su rol en el orden público : [abstract]
Full text linkAz antibiotikum-rezisztencia növelheti a K. pneumoniae inváziós képességét és citotoxicitását : [absztrakt]
Full text linkA mohácsi III. számú tömegsír embertani leletanyagának posztkraniális elemein megfgyelt perimortem sérülések előzetes oszteoarcheológiai vizsgálatának eredményei : [absztrakt]
Full text linkIncreasing poverty: the impact of Russian-Ukrainian war on Central Asia
Full text linkCentral Asia, historically closely tied to Russia and Ukraine, has experienced severe repercussions from the 2022 Russian–Ukrainian war. The five Central Asian nations – Kazakhstan, the Kyrgyz Republic, Tajikistan, Turkmenistan, and Uzbekistan – have faced worsened poverty and an increased vulnerability of households. The paper employs a postcolonial theoretical perspective to investigate the nuanced effects of the Russian–Ukrainian war on the region. The results show that even after three decades of independence Central Asia remains economically, politically and militarily dependent on Russia. Shocks in the Russian economy have had significant effects on the region which has not recovered after the COVID-19 pandemic. The military conflict has triggered persistent poverty and inequality issues, stalling the progress made by Central Asia in reducing poverty over the past two decades. After two years, the economic damage has been substantial and long-term negative outcomes of the conflict are about to come
Clustering and education: a study on European schools
Full text linkThe education standard is of utmost importance because it forms the basis of a country’s future geoeconomic and socioeconomic progress and success. The study’s main objective is to use cluster analysis to reveal the complex patterns, correlations, and relationships hidden between numerous education-related variables. The study uses clustering algorithms to group European nations with similar educational traits post-COVID-19. The selected variables – 44 European countries, Populations, GDP per capita, Scholars Enrollment Percentage, Number of Schools, and Successful Education Rate – combine to obtain a thorough framework for analysis. The study also explores the similarities and differences to predict the rate of successful schooling with statistical models. The clusters are vividly depicted in visualizations and tabular representations, which improves understanding of intricate data patterns. The categorization analysis opens doors to predictive modeling in the education sector, providing a potential tool for estimating academic achievements, notwithstanding some difficulties. These results highlight how analytics may improve the educational system
Peers' impact on 5th-graders' English learning motivation and engagement with tasks : [abstract]
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