NANOVIR – Nanočastice pre riešenie diagnosticko-terapeutických problémov s COVID-19

E-book

Valéria Skřivánková - Martina Hančová

The publication is focused on discrete random processes, primarily on Markov chains, which have wide application in the field of economics and finance.

The textbook is divided into five chapters, the first of which serves as an introduction to random processes and provides definition, properties and classification of random processes in general. The second chapter discusses Markov chains with discrete time, including valuation of transitions between states and their optimal management. The third chapter focuses on special Markov chains with continuous time and emphasizes construction and solution to the system of Kolmogorov differential equations, which describe the dynamics of the process development. The last two chapters illustrate applications of Markov chains using examples of queuing system modeling and renewal theory.

Besides the explanation of basic terms, definitions and theorems with proofs, this textbook also provides number of solved examples to illustrate the discussed theory. Problem assignments are placed at the end of each chapter, so that readers can test their understanding of the content as they progress through the book. Solutions to all the problems and the list of references are provided at the end of the publication.

This textbook is primarily intented for students majoring in Economics and Financial Mathematics at the Faculty of Science of Pavol Jozef Šafárik University in Košice, and it covers content of the course “Random Proceses 1“ thought there. It might however serve also students from other schools in similar progams or professionals interested in this topic.

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Norbert Kopčo - Frederick Gallun - Beáta Tomoriová - Ľuboš Hládek(eds.)

Cognitive neuroscience is a fast developing scientific field which aims at uncovering the neural basis of human perception and cognition. To achieve this goal, cognitive neuroscience uses a variety of tools and approaches ranging from non-invasive brain imaging to psychophysics and neural modeling. Mastering such tools requires skills and knowledge from multiple scientific domains, including neurophysiology, cognitive psychology, and several computational fields.

Prístup na požiadanie na email: kogneuro (@) gmail.com

http://pcl.upjs.sk/workshopcd 

https://sites.google.com/site/kogneuro/

E-book

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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E-book

Gabriela Andrejková - Ľubomír Antoni

Machine learning addresses the issues of how computer programs recognize complex patterns and make decisions based on data. In these university textbooks, we focus on theoretical knowledge in the field of machine learning in which we present the creation of concepts for objects, the preparation of concepts, hypotheses and the process of learning from examples. We describe Boolean formulas and their representations, probabilistic learning, linear and logistic regression, linear modeling and classification. Clustering and the Bayesian approach to machine learning conclude this publication.

University textbooks are intended for students of master's degree programs in computer science.

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Ján Kleban a kolektív

Predkladaný pracovný zošit na praktické cvičenia z cytológie je určený poslucháčom 1. ročníka bakalárskeho štúdia biológie a 1. ročníka bakalárskeho medziodborového štúdia v kombinácii s biológiou na Prírodovedeckej fakulte Univerzity Pavla Jozefa Šafárika v Košiciach. Slúži ako návod, ktorý má študentom uľahčiť prácu a umožniť rýchlejšiu orientáciu v zadanej úlohe. Úprava pracovného zošita do formy protokolov umožňuje študentom zakresliť vlastné pozorovanie a tým stimuluje študentov k presnejšiemu a trvalejšiemu zapamätaniu si precvičovanej úlohy a zároveň umožňuje spätnú kontrolu pedagógom. Počas cvičení sa študenti postupne oboznámia so základnými pojmami optiky, s aplikáciami využívajúcimi mikroskopickú techniku, ale aj so základnými rozdielmi medzi štruktúrou rastlinnej a živočíšnej bunky a ich organelami.

E-book

Michal Jaščur

This monograph is devoted to the discussion of effective field theory based on the differential operator method, originally introduced by Honmura and Kaneyoshi in 1979, which remains actively used for theoretical studies of localized spin models of magnetism—particularly variants of the Ising model. To date, this methodology has been applied by numerous authors to investigate a wide range of systems, including crystalline systems, diluted magnetic systems, systems with random exchange interactions, amorphous magnetic materials, systems under random magnetic and crystalline fields, thin magnetic layers, magnetic systems with free surfaces, binary and ternary magnetic alloys, among others.

During my scientific career, I have collaborated with several leading experts in this field—including Prof. Kaneyoshi, with whom I completed two long-term research stays—to advance the development of the differential operator method (and consequently effective field theory). Within this research area, I have published over 40 scientific papers in prominent international physics journals. These works include both methodological advancements and significant applications that predict intriguing physical phenomena, such as multicompensation phenomena in ferrimagnets.

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E-book

Ondrej Krídlo - Gabriel Semanišin

For computer scientists, the constant challenge is to seek efficient algorithms and various technical and implementation possibilities to improve the computational complexity of currently known algorithms. Partial solutions are offered by approaches such as grid-based methods and parallelization of computation. Quantum computers represent a significant but still unfulfilled promise. From a theoretical perspective, probabilistic and approximation approaches provide very effective solutions, and these are the methods we aim to explore in detail.

These electronic university textbooks serve as supplementary materials for the course Approximation and Probabilistic Algorithms. They were developed from the authors' materials and contributions by Prof. RNDr. Viliam Geffert, DrSc., whom the authors thank for providing the manuscript. Acknowledgments also extend to RNDr. Ján Katrenič, PhD., who prepared the first set of exercises for the course, and Žaneta Semanišinová, who reviewed large portions of the text and contributed suggestions for its improvement.

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E-book

Martin Bačkor - Miriam Bačkorová

The proposed text focuses on the history of studying biology, medicine, and pharmacy as scientific disciplines from prehistoric times through antiquity, the Middle Ages, and the modern era. The text chronologically organizes the most significant figures in the history of biological scientific disciplines, outlines key characteristics of major historical discoveries, and reevaluates their significance from the perspective of 21st-century science.

The educational text is chronologically divided into the most significant periods of civilization development. The last two completed centuries—the 19th and 20th—are subdivided into major life science fields due to the unprecedented growth of biological disciplines and the resulting volume of acquired information.

Since it can sometimes be challenging in science to define what constitutes the past versus the present of a particular discipline, we have excluded significant biological discoveries from the early 21st century, which are typically regarded as the “present” of biology.

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E-book

Jana Shepa  (ed.)

The book of abstracts from 8th International Conference on Novel Materials: Fundamentals and Applications, NFA 2023 is composed of contributions from the participants of this international conference. The conference consisted of 6 invited lecture and 38 abstracts of participants. The conference is focused on novel materials and its application in various research areas. All contributions are professionally processed and inspiring.

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E-book

Michal Jaščur

This is a supporting text for the undergraduate students interested in quan- tum theory of magnetism. The text represents an introduction to various theoretical approaches used in this eld. It is an open material, in the sense that it will be supported by appropriate problems to be solved by student at seminars and also as a homework.

The text consists of four chapters that form closed themes of the in- troductory quantum theory of magnetism. In the rst part we explain the quantum origin of the magnetism illustrating the appearance of the ex- change interaction for the case of hydrogen molecule. The second chapter is devoted to the application of the Bogolyubov inequality to the Heisenberg model and it represents the part which is usually missing in the textbooks of magnetism. The third chapter deals with the standard spin wave-theory including the Bloch and Holstein-Primakoff a approach. Finally, we discuss the application of the Jordan-Wigner transformation to one-dimensional spin-1/2 XY model.

The primary ambition of this supportive text is to explain diverse math- ematical methods and their applications in the quantum theory of mag- netism. The text is written in the form which should be sufficient to de- velop the skills of the students up to the very high level. In fact, it is expected that students following this course will able to make their own original applications of the methods presented in this book.

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Igor Hudec - Ľubomír Kováč 

The study course provides the basic knowledge on the fundamental parameters, relationships and processes in ecological sciences. Brief content: ecological factors and relations to environment (air, water, soil); influence of ecological factors upon organisms (morphological adaptations, behavioural responses); populations and communities (external and internal parameters of populations, population dynamics); ecosystems (impact assessment) and biomes (basic features and human impact); cycles (hydrologic, gaseous, sedimentation) of basic elements on Earth.  

Authors

E-book

Ján Guniš - Ľubomír Šnajder

Prílohy

College scripts Programming in Python 1 are intended for future teachers of computer science. The content of the course is related to the teaching of programming in Scratch and is an introduction to text-based programming in Python.

Programming is introduced as a means of developing problem-solving skills. The first chapter is devoted to problem solving. The next 12 chapters sequentially introduce basic language constructions, data structures, and selected types of algorithms. Each of these chapters begins with an introduction to the problem. This section is primarily intended for self-study, to prepare students for the exercises. The following subchapter summarizes and completes the knowledge, and additional insights and approaches related to the chapter topic are presented. The chapters include a collection of exercises designed to practice and deepen knowledge and skills on the topic.

The final part of the chapter presents the solved problems. This section serves as a guide to solving the problems in the collection.

i

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Valéria Skřivánková 

Predložený učebný text sa pokúša ilustrovať možné aplikácie Teórie pravdepodobnosti na príkladoch z oblastí (vo fyzike, chémii,  biológii, ekonomike, finančníctve, atď.), ktoré sú spestrené o úlohy na hľadanie optimálnej stratégie.

Text je určený predovšetkým poslucháčom Prírodovedeckej fakulty UPJŠ, budúcim učiteľom matematiky, študentom odboru matematika a informatika prípadne iným záujemcom, ktorí budú aplikovať pravdepodobnostné metódy pri riešení reálnych problémov. Obsahom pokrýva prvú časť predmetu "Pravdepodobnosť a štatistika".

Autorka

E-book

Ľubomír Šnajder - Ján Guniš

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. The publication consists of three chapters: Computer science competitions in Slovakia, Tasks in computer science education, Selected problems of PALMA junior competition. The first chapter provides an overview of computer science competitions for a primary and secondary schools in Slovakia. The second chapter described the issue of learning tasks - their components, focus, formulation types, and development system of tasks. The third chapter contains the assignments and commented author solutions of selected problems represented focus of PALMA junior competition – programming, algorithms and mathematics. For each problem is mentioned analysis of pupils’ solutions aimed to ways of thinking, typical misconceptions, sets of preparatory and extended problems. The publication is addressed to computer science teacher trainers, authors of programming competitions problems, and computer science teachers.  

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E-book

Dušan Barabas a kol.

The presented text is the final product of work within the project "Tanuljunk egymástól!/Let’s Learn from Each Other!" The project emerged from long-standing contacts between the staff of the Centre for Regional Studies of the Hungarian Academy of Sciences and the Institute of Geography at the Faculty of Science, Pavol Jozef Šafárik University in Košice, as a natural effort to expand mutual cooperation. The first step was collaboration within Interreg II projects, involving a broad range of institutions from both academic and non-academic environments. This initial attempt was unsuccessful due to administrative errors. Consequently, a project titled HUSK/0801/1.6.1/0003 "Tanuljunk egymástól!/Let’s Learn from Each Other!" was prepared and developed in agreement with the Hungarian side. It was approved and co-financed by the European Regional Development Fund under the Hungary-Slovakia Cross-Border Cooperation Program 2007–2013.

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E-book

Jana Shepa (ed.)

The book of abstracts from the first year of the international conference Autumn electrochemical meeting is composed of contributions from the participants of this student conference.

The conference consisted of one invited lecture and six student lectures. The message of this meeting is to create a dialogue between students of electrochemistry and the mutual exchange of knowledge. All contributions are professionally processed and inspiring.

Download the e-book for free  (pdf)

E-book

Valéria Skřivánková - Martina Hančová

The publication is focused on discrete random processes, primarily on Markov chains, which have wide application in the field of economics and finance.

The textbook is divided into five chapters, the first of which serves as an introduction to random processes and provides definition, properties and classification of random processes in general. The second chapter discusses Markov chains with discrete time, including valuation of transitions between states and their optimal management. The third chapter focuses on special Markov chains with continuous time and emphasizes construction and solution to the system of Kolmogorov differential equations, which describe the dynamics of the process development. The last two chapters illustrate applications of Markov chains using examples of queuing system modeling and renewal theory.

Besides the explanation of basic terms, definitions and theorems with proofs, this textbook also provides number of solved examples to illustrate the discussed theory. Problem assignments are placed at the end of each chapter, so that readers can test their understanding of the content as they progress through the book. Solutions to all the problems and the list of references are provided at the end of the publication.

This textbook is primarily intented for students majoring in Economics and Financial Mathematics at the Faculty of Science of Pavol Jozef Šafárik University in Košice, and it covers content of the course “Random Proceses 1“ thought there. It might however serve also students from other schools in similar progams or professionals interested in this topic.

Download the e-book for free (pdf)

Norbert Kopčo - Frederick Gallun - Beáta Tomoriová - Ľuboš Hládek(eds.)

Cognitive neuroscience is a fast developing scientific field which aims at uncovering the neural basis of human perception and cognition. To achieve this goal, cognitive neuroscience uses a variety of tools and approaches ranging from non-invasive brain imaging to psychophysics and neural modeling. Mastering such tools requires skills and knowledge from multiple scientific domains, including neurophysiology, cognitive psychology, and several computational fields.

Prístup na požiadanie na email: kogneuro (@) gmail.com

http://pcl.upjs.sk/workshopcd 

https://sites.google.com/site/kogneuro/

E-book

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.

Download e-book for free (pdf)

E-book

Gabriela Andrejková - Ľubomír Antoni

Machine learning addresses the issues of how computer programs recognize complex patterns and make decisions based on data. In these university textbooks, we focus on theoretical knowledge in the field of machine learning in which we present the creation of concepts for objects, the preparation of concepts, hypotheses and the process of learning from examples. We describe Boolean formulas and their representations, probabilistic learning, linear and logistic regression, linear modeling and classification. Clustering and the Bayesian approach to machine learning conclude this publication.

University textbooks are intended for students of master's degree programs in computer science.

Download e-book for free (pdf)

Ján Kleban a kolektív

Predkladaný pracovný zošit na praktické cvičenia z cytológie je určený poslucháčom 1. ročníka bakalárskeho štúdia biológie a 1. ročníka bakalárskeho medziodborového štúdia v kombinácii s biológiou na Prírodovedeckej fakulte Univerzity Pavla Jozefa Šafárika v Košiciach. Slúži ako návod, ktorý má študentom uľahčiť prácu a umožniť rýchlejšiu orientáciu v zadanej úlohe. Úprava pracovného zošita do formy protokolov umožňuje študentom zakresliť vlastné pozorovanie a tým stimuluje študentov k presnejšiemu a trvalejšiemu zapamätaniu si precvičovanej úlohy a zároveň umožňuje spätnú kontrolu pedagógom. Počas cvičení sa študenti postupne oboznámia so základnými pojmami optiky, s aplikáciami využívajúcimi mikroskopickú techniku, ale aj so základnými rozdielmi medzi štruktúrou rastlinnej a živočíšnej bunky a ich organelami.