Praktikum z nukleárnej magnetickej rezonancie. Časť 1: Kvantitatívna NMR

E-book

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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978-80-574-0391-3

Data sheet

Method of publication:
E-book (pdf)
Authors:
Mária Vilková - Zuzana Kudličková - Aneta Salayová - Tomáš Ján Liška
Document type:
Course Notes
Number of pages:
117
Available from:
10.03.2025
Year of publication:
2025
Edition:
1st edition
Publication language:
Slovak
Faculty:
Prírodovedecká fakulta
License:
CC BY NC ND (Uveďte autora - Nepoužívajte komerčne - Nespracovávajte)
- Free for download

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Študentská vedecká konferencia PF UPJŠ 2023

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Proceedings of Abstracts from the Student Scientific Conference of the Faculty of Science, Pavol Jozef Šafárik University in Košice

The Student Scientific Conference (SSC) represents the culmination of long-term and intensive work on a selected topic, collaboration with a supervisor, or a broader team at the workplace. In practice, however, it often marks the beginning of scientific research, focusing on a chosen subject, field, or close cooperation with a future supervisor of a bachelor's, master's, or doctoral thesis.

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Študentská vedecká konferencia PF UPJŠ 2013

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An important part of theoretical computer science is the problem of Turing machines. This computational model has two basic properties: like any other computational program, the software of a Turing machine is composed of instructions, but in its case they are all of a single type. Every other (so far known) computer program can be transformed into a Turing machine program without loss of information. While the second feature reduces the question of what a calculator cannot do to the question of what a Turing machine cannot do, the first feature allows a much simpler investigation of such a question. Using this computational model, we can thus find concrete problems that no automaton can ever deal with (perhaps the most famous is the problem of the Turing machine stopping). Their existence demonstrates the fundamental limitations of (not only ideal) computational means, and thus encourages both criticality and humility in our thinking.

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Juraj Ševc - Anna Alexovič Matiašová

Among students of single-discipline and interdisciplinary biology studies at faculties with a natural science focus, there often arises a problem in defining the scope of the curriculum when studying the subject of Human Anatomy. The presented study material aims to help students of non-medical scientific fields navigate the extensive anatomical terminology and to limit the amount of required anatomical terms to an optimum, so that alongside mastering Latin nomenclature, students still have sufficient capacity to memorize additional knowledge in the areas of systemic, comparative, developmental, and functional anatomy.

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The publication lists interim results of qualitative educational research focused on the development and evaluation of programming tasks being carried out by authors since 2005 in the frame of programming competition PALMA junior.

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Študentská vedecká konferencia PF UPJŠ 2019

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Študentská vedecká konferencia PF UPJŠ 2016

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Vladimír Zeleňák (ed.)

Proceedings of Abstracts of the Student Scientific Conference of the Faculty of Science, Pavol Jozef Šafárik University in Košice

A characteristic feature of education at high-quality universities — among which the Faculty of Science at Pavol Jozef Šafárik University (UPJŠ) in Košice proudly belongs — is the close connection between education and scientific research. Students gain knowledge in their field of study not only through theoretical coursework in individual disciplines, but also through active involvement in solving specific scientific tasks as part of research teams. This can occur during the development of final theses or through participation in the Student Research Assistant Program (ŠPVS), which was revitalized at the faculty in 2015.

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Ivana Sotáková-Martin Vavra-Mária Ganajová

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Praktické cvičenia z röntgenovej difraktometrie II

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Karel Saksl

Solving crystal structures is the royal discipline of X-ray crystallography. Its primary task, with the exception of defects, is to describe the atomic structure of the motif that, by its repetition, fills the volume of the entire crystal or crystalline phase. This task is nowadays more or less routine for single-crystal X-ray diffraction, which can locate hundreds to thousands of non-hydrogen atoms in large unit cells. However, in real practice, we often have material available only in powder form instead of single crystals. Solving the atomic structure from its X-ray diffraction data is non-trivial, mainly because the three-dimensional diffraction space of a single crystal is reduced to one dimension by measuring a large number of randomly oriented microcrystals (crystallites). Therefore, the solution itself requires, in addition to proper measurement methodology, the selection of suitable tools, procedures, and strategies that, through optimization, will lead to the solution and refinement of the given crystalline phase. The current limit of this method is approximately 100 non-hydrogen atoms in the asymmetric part of the unit cell, which, however, is sufficient for most inorganic materials.

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Karel Sakls

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