Andrew Bradley - Böcker

In the sacred and honorable tradition of The Onion comes a hilarious and outrageous collection of 'Church Newsletters' that gleefully skewer America's religious right. The Godly ministers at Landover Baptist Church (Guaranteeing Salvation Since 1612!) have been sending out their newsletters for years, helping save those headed for damnation from falling into the devil's clutches. Making sure that no Christian is left behind and that all non-believers burn in Hell, Pasto Deacon Fred and his band of merry white preachers share such righteous wisdom as 'How children can win a Playstation (r) 3 by accepting jesus Christ as their personal Saviour' and 'How to prevent from turning Macy's into Neverland Ranch.' Complete with Bible Quizzes, Sacreligious Sidebars and mug shots of America's damned, Welcome to Jesusland! Is sure to bcome a classic of religious and political humour - while cleansing heathens frm the Earth (or at least from those pesky Blue States).

This book explores what judges do and how they perceive their roles in the context of growing dissensus over liberal democracy.Focusing on the European landscape, it asks eighteen judges how they perceive their roles when judicial independence and democracy are under pressure. The book features interviews with judges from various EU and non-EU Member States and courts, complemented by a series of academic commentaries discussing the relationship between law and politics in times of dissensus over liberal democracy. Each narrative reveals unique personal experiences and reflections, shedding light on the role of the judiciary and the rule of law in the face of contemporary challenges. While the book engages with these issues through European narratives, its findings contribute to broader debates beyond Europe and the EU.

This book constitutes the refereed joint proceedings of the 4th International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2018, and the 8th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2018, held in conjunction with the 21st International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018.The 39 full papers presented at DLMIA 2018 and the 4 full papers presented at ML-CDS 2018 were carefully reviewed and selected from 85 submissions to DLMIA and 6 submissions to ML-CDS. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

This book highlights pressing challenges confronting liberal democracy and the rule of law by presenting a series of compelling narratives from individuals who experience the expression of dissensus over liberal democracy in their professional lives. By exploring diverse perspectives on democracy and contrasting visions for its future, the book offers a nuanced understanding of the dissensus surrounding liberal democracy today.Through in-depth interviews with academics, intellectuals, artists, human rights activists, journalists, representatives of international organizations, and political and social actors, this book sheds new light on the current state of liberal democracy across various policy domains and countries. It illustrates the struggles and strategies of those facing democratic dissent while offering innovative pathways to reinvigorate liberal democracy for the 21st century.The book concludes with forward-looking policy recommendations and citizen-centered solutions, addressing critical questions of legitimacy and resilience for liberal democracies in an era of global transformation.

This book constitutes the refereed proceedings of two workshops held at the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016, in Athens, Greece, in October 2016: the First Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2016, and the Second International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2016. The 28 revised regular papers presented in this book were carefully reviewed and selected from a total of 52 submissions. The 7 papers selected for LABELS deal with topics from the following fields: crowd-sourcing methods; active learning; transfer learning; semi-supervised learning; and modeling of label uncertainty.The 21 papers selected for DLMIA span a wide range of topics such as image description; medical imaging-based diagnosis; medical signal-based diagnosis; medical image reconstruction and model selection using deep learning techniques; meta-heuristic techniques for fine-tuning parameter in deep learning-based architectures; and applications based on deep learning techniques.