Fifty years ago, a new approach to reaction kinetics began to emerge: one based on mathematical models of reaction kinetics, or formal reaction kinetics. Since then, there has been a rapid and accelerated development in both deterministic and stochastic kinetics, primarily because mathematicians studying differential equations and algebraic geometry have taken an interest in the nonlinear differential equations of kinetics, which are relatively simple, yet capable of depicting complex behavior such as oscillation, chaos, and pattern formation. The development of stochastic models was triggered by the fact that novel methods made it possible to measure molecules individually. Now it is high time to make the results of the last half-century available to a larger audience: students of chemistry, chemical engineering and biochemistry, not to mention applied mathematics. Based on recent papers, this book presents the most important concepts and results, together with a wealth of solved exercises. The book is accompanied by the authors' Mathematica package, ReactionKinetics, which helps both students and scholars in their everyday work, and which can be downloaded from http://extras.springer.com/ and also from the authors' websites. Further, the large set of unsolved problems provided may serve as a springboard for individual research.

Fifty years ago, a new approach to reaction kinetics began to emerge: one based on mathematical models of reaction kinetics, or formal reaction kinetics. Since then, there has been a rapid and accelerated development in both deterministic and stochastic kinetics, primarily because mathematicians studying differential equations and algebraic geometry have taken an interest in the nonlinear differential equations of kinetics, which are relatively simple, yet capable of depicting complex behavior such as oscillation, chaos, and pattern formation. The development of stochastic models was triggered by the fact that novel methods made it possible to measure molecules individually. Now it is high time to make the results of the last half-century available to a larger audience: students of chemistry, chemical engineering and biochemistry, not to mention applied mathematics. Based on recent papers, this book presents the most important concepts and results, together with a wealth of solved exercises. The book is accompanied by the authors' Mathematica package, ReactionKinetics, which helps both students and scholars in their everyday work, and which can be downloaded from http://extras.springer.com/ and also from the authors' websites. Further, the large set of unsolved problems provided may serve as a springboard for individual research.

This conceptually synthetic and empirically rich book demonstrates the vulnerability of democratic settings to authoritarianism and populism. Six scholars from various professional fields explore here the metamorphosis of a political party into a centralized authoritarian system. Viktor Orban and his Fidesz party needed less than ten years to accomplish this transformation in Hungary. In 2010, after winning a majority that could make changes in the constitution - two-thirds of the parliamentary seats, they evolved and stabilized the system, which produced again the two-thirds majority in 2014 and 2018. The authors reveal how a democratic setting can be used as a device for political capture. They show how a political entity managed to penetrate almost all sub-fields of the economy to arrive at institutionalized corruption, and how the centralized power structure reproduces itself. With the help of a powerful empirical apparatus-among others analyses of more than 220,000 public tenders, redistributions of state subsidies, and the interconnectedness of those privileged with the political elite - the authors detail the functioning of a crony system and the network aspects of political connections in the rapid enrichment of politically-linked businesses. Their studies demonstrate the role of political capture in this redistribution and how this capture leads to a new social stratification.