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EN
Now, when access to knowledge is widespread and unlimited, education should develop desired attitudes and competencies in both students and pupils. In chemical education at every stage of learning, the most valuable form of learning is experimentation. Recognizing problems, whether practical or theoretical, planning research aimed at finding answers to a research question, and conducting research activities, including laboratory work along with the selection of appropriate equipment, glassware, or laboratory reagents, constitute valuable complex skills associated with critical thinking. Meanwhile, contemporary climate policy focuses on green transformation, within which digital technologies are perceived as tools to reduce the negative impact of human activities on the natural environment. Therefore, in this article we propose a modern approach to experiments in chemical education, taking into account the need to develop both research and digital competencies of Polish students. Using the example of chemical concepts such as exothermic and endothermic reactions, we present the transition from traditional illustrative use of chemical experiments to designing learning environment that enables discovery and scientific inquiry using modern technologies, such as Arduino programming to create one’s own measuring tool.
EN
Artificial Intelligence (AI), particularly generative deep learning models such as MolGAN, CellGAN, and ORGAN, is gaining increasing importance in chemistry and structural biology. These models enable the creation of novel chemical compounds and molecular structures (MolGAN, ORGAN) as well as realistic cellular images (CellGAN), opening new possibilities in drug design, phenotypic analysis, and molecular engineering. This article presents an overview of selected generative architectures, including fundamental models and their specialized variants, discussing their advantages and limitations. Attention is drawn to the risk of generating unrealistic, hard-to-synthesize, or toxic molecules due to learning from statistical correlations rather than explicit chemical rules. Therefore, the need to integrate AI models with experimental knowledge is emphasized, along with the development of validation mechanisms and ethical safeguards in the context of their practical application.
EN
Antibiotics are considered one of the greatest discoveries of the 20th century. Their introduction into therapy in the early 1940s marked a breakthrough moment in the treatment of infections andinfectious diseases. At the time, they were referred to as "miracle drugs". Unfortunately, even before the mass use of the first antibiotic - penicillin, a strain of Staphylococcus aureus producing penicillinases (beta-lactamases), and thus resistant to penicillin, had already been isolated. By the mid-1950s, as a result of the widespread use of penicillin, more than 50% of Staphylococcus aureusstrains were resistant toit.Thisled to an increase in mortality due to infections caused by resistant microorganisms. In the last decade of the 20th century, the problem of resistance began to spiral out of control. The significance of antimicrobial resistance is evidenced by the fact that it was the subject of the G20 summit held in September 2016, as well as the United Nations General Assembly (September 2016, New York). Today, antibiotic resistance is one of the primary threats to public health worldwide. This danger is recognized by European and global institutions such as the World Health Organization (WHO), the European Commission (EC), the European Centre for Disease Prevention and Control (ECDC), and the Centers for Disease Control and Prevention (CDC) in the United States. The aim of this article isto presentthe most important information regarding the scale of antibiotic resistance in European Union and the threats it poses to public health in Poland. The paper outlines key aspects of antibiotics, antibiotic resistance, the underlying causes of antimicrobial resistance, as well as strategies for its containment. It presents data on antibiotic consumption in Poland and the observed resistance patterns. In the concluding remarks, the article discusses fundamental principles for the appropriate use of antibiotics in medical practice, with the objective of limiting the spread of antibiotic resistance both in Poland and worldwide.
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