This book considers the theory of linear electrical circuits in steady regimes and transients as well as common problems of synthesis of linear electrical circuits, the theory of electrical linear circuits with distributed parameters and the calculation of nonlinear electrical and magnetic circuits. It has been prepared for undergraduate students, bachelors, masters and postgraduates at this important stage of developing techniques and technologies.

Unlike some other reproductions of classic texts (1) We have not used OCR(Optical Character Recognition), as this leads to bad quality books with introduced typos. (2) In books where there are images such as portraits, maps, sketches etc We have endeavoured to keep the quality of these images, so they represent accurately the original artefact. Although occasionally there may be certain imperfections with these old texts, we feel they deserve to be made available for future generations to enjoy.

In dem Buch stellen die Autoren das Thema Silikon-Verbundisolatoren umfassend dar. Sie beschreiben die mechanischen und elektrotechnischen Grundlagen, berücksichtigen neueste Entwicklungen und gehen auf alle wesentlichen Aspekte ein: von der Auswahl der Werkstoffe über die Dimensionierung bis zur Anwendung in Hochspannungsnetzen. Die Autoren sind Pioniere auf dem Gebiet der Verbundisolatoren und legen höchsten Wert auf die Praxisrelevanz ihres Wissens. So eignet sich der Band als Einführung in das Thema ebenso wie als Nachschlagewerk für die Praxis.

The book explores the role of higher education in increasing social mobility and reducing social inequality in today’s world. The first part examines the cultural openness of the knowledge society and its contribution to reducing social inequalities. The second part examines inclusive higher education in support of social mobility. The third part reveals digital technologies in higher education and their significance for the growth of social mobility. The fourth part discusses the best international practices and offers recommendations for educational management in support of reducing social inequalities.

The Historical-Critical Dictionary of Marxism (HCDM) is a comprehensive Marxist lexicon, which in the 9 German-language volumes concluded so far has involved over 800 scholars from around the globe. Conceived by philosopher Wolfgang Fritz Haug in 1983, the first volume of the ongoing lexicon project was published in 1994. This first English-language selection introduces readers to the HCDM’s wide range of terms: besides Marxist concepts, approached from a plural standpoint and stressing feminist, ecological, and internationalist perspectives, it boasts entries on the histories of social movements, theoretical schools, as well as cultural, political, philosophical, and aesthetic debates. Contributors are: Samir Amin, Jan Otto Andersson, Konstantin Baehrens, Lutz-Dieter Behrendt, Mario Candeias, Robert Cohen, Alex Demirović, Klaus Dörre, William W. Hansen, Wolfgang Fritz Haug, Frigga Haug, Peter Jehle, Juha Koivisto, Wolfgang Küttler, Morus Markard, Eleonore von Oertzen, Christof Ohm, Rinse Reeling Brouwer, Jan Rehmann, Thomas Sablowski, Peter Schyga, Victor Strazzeri, Peter D. Thomas, André Tosel, Michael Vester, Lise Vogel, and Victor Wallis.

This book is a general introduction to the statistical analysis of networks, and can serve both as a research monograph and as a textbook. Numerous fundamental tools and concepts needed for the analysis of networks are presented, such as network modeling, community detection, graph-based semi-supervised learning and sampling in networks. The description of these concepts is self-contained, with both theoretical justifications and applications provided for the presented algorithms.Researchers, including postgraduate students, working in the area of network science, complex network analysis, or social network analysis, will find up-to-date statistical methods relevant to their research tasks. This book can also serve as textbook material for courses related to thestatistical approach to the analysis of complex networks.In general, the chapters are fairly independent and self-supporting, and the book could be used for course composition "a la carte". Nevertheless, Chapter 2 is needed to a certain degree for all parts of the book. It is also recommended to read Chapter 4 before reading Chapters 5 and 6, but this is not absolutely necessary. Reading Chapter 3 can also be helpful before reading Chapters 5 and 7. As prerequisites for reading this book, a basic knowledge in probability, linear algebra and elementary notions of graph theory is advised. Appendices describing required notions from the above mentioned disciplines have been added to help readers gain further understanding.