For the power industry, biomass is just a modern name for the ancient material of plant origin that was converted into energy in the simple technology of burning. This book discusses biomass as a raw material for the production of liquid or gaseous biofuels and valuable chemicals. Such biomass processing should be beneficial from both economic and environmental points of view. Classic technologies of biogas production are still being improved, but they always generate waste that differs in terms of chemical parameters, depending on the feedstock digested. These parameters dictate the manner of their final managing. Various biotechnologies allow the use of the biomass of hydrobionts, such as cyanobacteria as a raw substance for obtaining different products, e.g. hyaluronic acid, biopolymers, fertilizers, or even drugs. Animal fats or algae can be used to produce biodiesel which in turn is used in environmentally friendly urban transport. Even municipal solid waste can be a source of useful biomass. The authors show how its volume and composition can be predicted, by which form of processing it can be converted into valuable products, as well as in which ways its negative environmental impact can be limited.

The science of biomedical measurements is experiencing a period of rapid development. Biomedical measuring systems are becoming increasingly accurate on the one hand and complex on the other. In order to make progress in this field, metrological problems must be solved using a systemic and formal approach. To this end, it is necessary to define the components of the system and the rules for their interaction, which allows the creation of a mathematical model. In this way, any technology or object can be presented in the form of a structure on which the necessary estimates can be formulated and synthesis, including metrological one, can be made. The authors have observed that despite the significance of the problem, few scientific centres deal with this issue in a generalised manner. Hence the idea of bringing together the achievements of the centres from Russia, Poland and Kazakhstan in one joint publication. The first and second volumes of Information Technology in Medical Diagnostics found readers not only in Poland, Ukraine, and Kazakhstan but also Spain, Russia and the Czech Republic. Following the readers' suggestions, in the third volume of ITMD we returned to the formula of closed chapters known from volume one. Due to its limited volume, the book deals with the aforementioned issues in only selected areas of biomedical engineering. The book will be of interest not only for academics and engineers but also for professionals involved in biomedical engineering, seeking solutions for the problems that cannot be solved using "traditional" technologies or trying to improve existing measurement systems.

First volume covers the issues related to the components and systems of transport machines. Design issues of machine elements operating in extreme conditions are also addressed. Covers the dynamics of hydraulic, electro-hydraulic and mechanical-hydraulic systems. Examines selected technical and economic issues of gas transport. Covers topics of modelling of production processes with the transport of products.

For many centuries, mankind has tried to learn about his health. Initially, during the pre-technological period, he could only rely on his senses. Then there were simple tools to help the senses. The breakthrough turned out to be the discovery of X-rays, which gave insight into the human body. Contemporary medical diagnostics are increasingly supported by information technology, which for example offers a very thorough analysis of the tissue image or the pathology differentiation. It also offers possibilities for very early preventive diagnosis. Under the influence of information technology, 'traditional' diagnostic techniques and new ones are changing. More and more often the same methods can be used for both medical and technical diagnostics. In addition, methodologies are developed that are inspired by the functioning of living organisms. Information Technology in Medical Diagnostics II is the second volume in a series showing the latest advances in information technologies directly or indirectly applied to medical diagnostics. Unlike the previous book, this volume does not contain closed chapters, but rather extended versions of presentations made during two conferences: XLVIII International Scientific and Practical Conference 'Application of Lasers in Medicine and Biology' (Kharkov, Ukraine) and the International Scientific Internet conference 'Computer graphics and image processing' (Vinnitsa, Ukriane), both held in May 2018. Information Technology in Medical Diagnostics II links technological issues to medical and biological issues, and will be valuable to academics and professionals interested in medical diagnostics and IT.

Information Technology is applicable in all areas of life. As a result, computer science is essential to imagine the modern world. Recent advances in information technology represents only a small part of today's computing applications which were the subject of international cooperation between Kazakh, Ukrainian and Polish scientists. A wide range of issues and topics is addressed, from game theory to advanced control issues: - Application of new computational models and their security problems - The integro-differential game approach - Application of information technology for automated translation, from inflected languages to sign language - Mathematical problems of complex systems investigation under uncertainties Recent advances in information technology is of interest to academics and engineers, and to professionals involved in information technology and its applications.

For many centuries, people have tried to learn about the state of their health. Initially, in the pre-technological period, they had to rely only on their senses. Then there were simple tools to help the human senses. The discovery of X-rays, which allowed people to look "inside" the body, turned out to be a major breakthrough. Contemporary medical diagnostics is increasingly being assisted by information technology that allows, for example, thorough image tissue analysis or pathology differentiation. They also allow very early preventive diagnostics. Influenced by information technology, "classic" diagnostic techniques change and new ones arise. Information Technology in Medical Diagnostics presents selected and extended conference papers from Polish, Ukrainian and Kazakh scientists. They address problems of the application of new methods of image processing for analysis of medical images, new methods of classification of medical data as well as new medical imaging methods. Some of the presented technologies are inspired by the functioning of living organisms. Information Technology in Medical Diagnostics is of interest not only to academics and engineers, but also to professionals involved in biomedical engineering, and seeking for solutions for issues that cannot be solved with the help of "traditional" technologies.

This book includes 46 scientific papers presented at the conference and reflecting the latest research in the fields of data mining, machine learning and decision-making. The international scientific conference "Intellectual Systems of Decision-Making and Problems of Computational Intelligence" was held in the Kherson region, Ukraine, from May 25 to 29, 2020. The papers are divided into three sections: "Analysis and Modeling of Complex Systems and Processes," "Theoretical and Applied Aspects of Decision-Making Systems" and "Computational Intelligence and Inductive Modeling." The book will be of interest to scientists and developers specialized in the fields of data mining, machine learning and decision-making systems.

Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: "Analysis and Modeling of Complex Systems and Processes"; "Theoretical and Applied Aspects of Decision-Making Systems"; and "Computational Intelligence and Inductive Modeling", the book is of interest to scientists and developers in the field.