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The Case for Marriage
A groundbreaking look at marriage, one of the most basic and universal of all human institutions, which reveals the emotional, physical, economic, and sexual benefits that marriage brings to individuals and society as a whole. The Case for Marriage is a critically important intervention in the national debate about the future of family. Based on the authoritative research of family sociologist Linda J. Waite, journalist Maggie Gallagher, and a number of other scholars, this book’s findings dramatically contradict the anti-marriage myths that have become the common sense of most Americans. Today a broad consensus holds that marriage is a bad deal for women, that divorce is better for childr...
Long-term Potentiation
In the thirty years since its discovery by Terje Lomo and Tim Bliss, Long Term Potentiation (LTP) has become one of the most extensively studied topics in contemporary neuroscience. In LTP the strength of synapses between neurons is potentiated following brief but intense activation. LTP is thought to play a central role in learning and memory, though the exact nature of its role is less clear. In spite of years of research, there are many questions about LTP regarding its functional relevance that remain unanswered - for example, is it a model of memory formation, or is the actual neural mechanism used by the brain to store information?This volume presents a state of the art account of LTP....
Clinical Neuroengineering
Neuroengineering or neural engineering is a field within biomedical engineering. It uses engineering techniques to repair, enhance, replace, understand or exploit the properties of neural systems. An important objective of this field is the augmentation and restoration of human function through direct interactions between artificial devices and the nervous system. Research is being conducted to develop an understanding of the coding and processing of information in the motor and sensory systems, how such processing is altered in the pathological state and how this can be manipulated using interactions with neuroprosthetics and brain-computer interfaces. The scope of neuroengineering is wide ...
Litteratura Coleopterologica (1758-1900)
"Bibliographic references to works pertaining to the taxonomy of Coleoptera published between 1758 and 1900 in the non-periodical literature are listed. Each reference includes the full name of the author, the year or range of years of the publication, the title in full, the publisher and place of publication, the pagination with the number of plates, and the size of the work. This information is followed by the date of publication found in the work itself, the dates found from external sources, and the libraries consulted for the work. Overall, more than 990 works published by 622 primary authors are listed. For each of these authors, a biographic notice (if information was available) is given along with the references consulted"--[p. 1].
Federated Learning
How is it possible to allow multiple data owners to collaboratively train and use a shared prediction model while keeping all the local training data private? Traditional machine learning approaches need to combine all data at one location, typically a data center, which may very well violate the laws on user privacy and data confidentiality. Today, many parts of the world demand that technology companies treat user data carefully according to user-privacy laws. The European Union's General Data Protection Regulation (GDPR) is a prime example. In this book, we describe how federated machine learning addresses this problem with novel solutions combining distributed machine learning, cryptography and security, and incentive mechanism design based on economic principles and game theory. We explain different types of privacy-preserving machine learning solutions and their technological backgrounds, and highlight some representative practical use cases. We show how federated learning can become the foundation of next-generation machine learning that caters to technological and societal needs for responsible AI development and application.
Technology Enhanced Learning
This book gives an overview of the state-of-the-art in Technology Enhanced Learning (TEL). It is organized as a collection of 14 research themes, each introduced by leading experts and including references to the most relevant literature on the theme of each cluster. Additionally, each chapter discusses four seminal papers on the theme with expert commentaries and updates. This volume is of high value to people entering the field of learning with technology, to doctoral students and researchers exploring the breadth of TEL, and to experienced researchers wanting to keep up with latest developments.
