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The Evolution in Pharmacology of Infectious Diseases: 2022
There have been tremendous advancements in the Pharmacology of Infectious Diseases in recent years. These recent advancements underline the importance of a multidisciplinary approach in the study of infectious diseases. In order to explore this fast-growing area, Frontiers is launching a new series of Research Topics focusing on the evolution of methods, processes, scientific breakthroughs and technology advances in the field of Pharmacology of Infectious Diseases. In this article collection, we seek contributions exploring the changing context, the recent advances, the challenges, and the emerging new perspectives within the field.
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Elegant Chaos: Algebraically Simple Chaotic Flows
This heavily illustrated book collects in one source most of the mathematically simple systems of differential equations whose solutions are chaotic. It includes the historically important systems of van der Pol, Duffing, Ueda, Lorenz, Rössler, and many others, but it goes on to show that there are many other systems that are simpler and more elegant. Many of these systems have been only recently discovered and are not widely known. Most cases include plots of the attractor and calculations of the spectra of Lyapunov exponents. Some important cases include graphs showing the route to chaos. The book includes many cases not previously published as well as examples of simple electronic circuits that exhibit chaos.No existing book thus far focuses on mathematically elegant chaotic systems. This book should therefore be of interest to chaos researchers looking for simple systems to use in their studies, to instructors who want examples to teach and motivate students, and to students doing independent study.
A Student Grammar of Turkish
A concise introduction to Turkish grammar, designed specifically for English-speaking students and professionals.
Graph Representation Learning
Graph-structured data is ubiquitous throughout the natural and social sciences, from telecommunication networks to quantum chemistry. Building relational inductive biases into deep learning architectures is crucial for creating systems that can learn, reason, and generalize from this kind of data. Recent years have seen a surge in research on graph representation learning, including techniques for deep graph embeddings, generalizations of convolutional neural networks to graph-structured data, and neural message-passing approaches inspired by belief propagation. These advances in graph representation learning have led to new state-of-the-art results in numerous domains, including chemical sy...
The Economic Vote
This book proposes a selection model for explaining cross-national variation in economic voting: Rational voters condition the economic vote on whether incumbents are responsible for economic outcomes, because this is the optimal way to identify and elect competent economic managers under conditions of uncertainty. This model explores how political and economic institutions alter the quality of the signal that the previous economy provides about the competence of candidates. The rational economic voter is also attentive to strategic cues regarding the responsibility of parties for economic outcomes and their electoral competitiveness. Theoretical propositions are derived, linking variation in economic and political institutions to variability in economic voting. The authors demonstrate that there is economic voting, and that it varies significantly across political contexts. The data consist of 165 election studies conducted in 19 different countries over a 20-year time period.
Federated Learning
This book provides a comprehensive and self-contained introduction to federated learning, ranging from the basic knowledge and theories to various key applications. Privacy and incentive issues are the focus of this book. It is timely as federated learning is becoming popular after the release of the General Data Protection Regulation (GDPR). Since federated learning aims to enable a machine model to be collaboratively trained without each party exposing private data to others. This setting adheres to regulatory requirements of data privacy protection such as GDPR. This book contains three main parts. Firstly, it introduces different privacy-preserving methods for protecting a federated lear...
