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Miroslava Martinková

This electronic material provides the basic principles of creating a systematic nomenclature of organic compounds, from the simplest hydrocarbons to the more complicated nomenclature of carbohydrates. For some groups of derivatives, alternative ways of generating system names are also mentioned, as well as the most common trivial names that are still in use in the literature and in practice, in some cases being the characteristic (dominant) ones. In the introductory section, the basic rules to be respected when writing names of organic compounds are discussed. This document is intended primarily for interdisciplinary undergraduate and graduate students as support material for the courses Organic Chemistry and Selected Chapters in Organic Chemistry and Biochemistry. In the final section of this document, solved examples are given so that the student can check how the rules for forming the names of organic compounds have been understood.

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Mária Vilková - Zuzana Kudličková - Aneta Salayová - Tomáš Ján Liška

The Nuclear Magnetic Resonance Practicum – Part 1: Quantitative NMR is designed for students taking the NMR Practicals course, which focuses on the practical aspects of quantitative nuclear magnetic resonance (qNMR). This publication builds on previous NMR courses and assumes basic theoretical knowledge of the method, emphasizing experimental procedures, data processing, and result interpretation. qNMR is a precise analytical technique with broad applications in analytical chemistry, pharmaceutical research, biomedicine, and quality control. The script provides a detailed guide to conducting experiments, as well as procedures for analyzing and evaluating acquired data. This publication offers students methodological guidance and support in mastering qNMR analysis and serves as a valuable resource not only during their studies but also for further research in NMR spectroscopy.

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Jana Šandrejová - Andrea Gajdošová (eds.)

The scientific book of abstracts from the conference „Novel Trends in Chemistry, Research and Education 2024“ is a summary of the contributions of conference participants, which contain the original results of their scientific and research activities. The contributions published in this volume are divided according to content into the fields of analytical, inorganic, organic, physical chemistry, biochemistry and didactics of chemistry.

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Ľubomír Antoni a kol.

In university textbooks, we present the history of data science, basic concepts in artificial intelligence, machine learning, or deep learning. We describe the relationships between data science and other disciplines and summarize the tasks of the data scientist. We present an overview of university subjects in the field of data science, which were created and innovated at Slovak universities within the national project IT Academy - Education for the 21st Century. We present extended subject annotations, application examples and case studies using various methods in the field of data science. University textbooks are intended for students of bachelor's, master's, engineering and doctoral study programs in computer science, but also in non-informatics fields.

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