This book in 4 volumes lists approximately 22,000 descendants of 81 of the original 400 Huguenot immigrants to Carolina, arriving around 1685. For each immigrant, an Individual Summary is provided, and all known descendants are listed by generation for up to 10 generations , showing names and dates. The Index in Volume 4 can be used to find if you are descended from these 81 Huguenot immigrants. No sourcing or documented evidence of relationship is provided and the authors do not guarantee accuracy. However, the data has been carefully checked from many sources and can be used as the basis for further genealogical research and documentation.
Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to methods for unraveling the extraordinary complexity of neuronal connectivity. From the perspective of graph theory and network science, this book introduces, motivates and explains techniques for modeling brain networks as graphs of nodes connected by edges, and covers a diverse array of measures for quantifying their topological and spatial organization. It builds intuition for key concepts and methods by illustrating how they can be practically applied in diverse areas of neuroscience, ranging from the analysis of synaptic networks in the nematode worm to the characterization of large-scale human brain networks constructed with magnetic resonance imaging. This text is ideally suited to neuroscientists wanting to develop expertise in the rapidly developing field of neural connectomics, and to physical and computational scientists wanting to understand how these quantitative methods can be used to understand brain organization. - Winner of the 2017 PROSE Award in Biomedicine & Neuroscience and the 2017 British Medical Association (BMA) Award in Neurology - Extensively illustrated throughout by graphical representations of key mathematical concepts and their practical applications to analyses of nervous systems - Comprehensively covers graph theoretical analyses of structural and functional brain networks, from microscopic to macroscopic scales, using examples based on a wide variety of experimental methods in neuroscience - Designed to inform and empower scientists at all levels of experience, and from any specialist background, wanting to use modern methods of network science to understand the organization of the brain
The second edition of Primary Immunodeficiency Diseases presents discussions of gene identification, mutation detection, and clinical and research applications for over 100 genetic immune disorders--disorders featuring an increased susceptibility to infections and, in certain conditions, an icreased rate of malignancies and autoimmune disorders. Since the publication of the first edition, a flurry of new disease entities has been defined and new treatment regimens have been introduced, the most spectacular being successful treatment by gene therapy for two genotypes of combined immunodeficiency. The first edition marked a historic turning point in the field of immunodeficiencies, demonstrating that many of the disorders of the immune systam could be understood at a molecular level. This new edition can proudly document the tremendous pace of progress in dissecting the complex immunologic networks responsible for protecting individuals from these disorders.
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