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This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.

For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.

CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data. 

To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials.

The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context. 

The rapid decline in the world''s linguistic diversity has prompted the emergence of documentary linguistics. While documentary linguistics aims primarily at creating a durable, accessible and comprehensive record of languages, it has also been a driving force in developing language annotation and analysis software, archiving architecture, improved fieldwork methodologies, and new standards in data accountability and accessibility.

More recently, researchers have begun to recognize the immense potential available in the archived data as a source for linguistic analysis, so that the field has become of increasing importance for typologists, but also for neighbouring disciplines. The present volume contains contributions by practitioners of language documentation, most of whom have been involved in the Volkswagen Foundation''s DoBeS programme (Dokumentation Bedrohter Sprachen).

The topics covered in the volume reflect a field that has matured over the last decade and includes both retrospective accounts as well as those that address new challenges: linguistic annotation practice, fieldwork and interaction with speech communities, developments and challenges in archiving digital data, multimedia lexicon applications, corpora from endangered languages as a source for primary-data typology, as well as specific areas of linguistic analysis that are raised in documentary linguistics.

This book contains a collection of cutting-edge papers on methodological aspects of prosody research. Current approaches to the gathering, treatment, and interpretation of prosodic data are discussed by experts in the field, illustrated by their own empirical research. Contributions focus on the choice and measurement of prosodic parameters, the establishment of prosodic categories, annotation structures for spoken-language data, and experimental methods for production and perception studies (including the construction of materials, modes of presentation, online vs. offline tasks, judgement scales, data processing, and statistical evaluation). The volume will serve as a handbook linking data collection and interpretation, allowing researchers in linguistics and related fields to make more informed decisions concerning their empirical work in prosody.