Andrew J. Connolly – författare
Visar alla böcker från författaren Andrew J. Connolly. Handla med fri frakt och snabb leverans.
3 produkter
3 produkter
Inbunden, Engelska, 2015
2 360 kr
Skickas inom 5-8 vardagar
A mainstay for pathology residents, Autopsy Pathology is designed with a uniquely combined manual and atlas format that presents today’s most complete coverage of performing, interpreting, and reporting post-mortem examinations. This lasting and useful medical reference book offers a practical, step-by-step approach to discussing not only the basics of the specialty, but the performance of specialized autopsy procedures as well.
E-bok
Engelska, 20152 690 kr
Läs direkt efter köp
A mainstay for pathology residents, Autopsy Pathology is designed with a uniquely combined manual and atlas format that presents today''s most complete coverage of performing, interpreting, and reporting post-mortem examinations. This lasting and useful medical reference book offers a practical, step-by-step approach to discussing not only the basics of the specialty, but the performance of specialized autopsy procedures as well.- Material is divided into two sections for ease of use: a manual covering specific autopsy procedures, biosafety, generation of autopsy reports, preparation of death certificates, and other essential subjects; and an atlas, organized by organ system, which captures the appearance of the complete spectrum of autopsy findings.- Covers forensic pathology in a chapter introducing the subspecialty.- Offers expanded coverage of microscopic anatomy.- Includes a chapter on performing special dissection procedures that may not be covered during a typical residency.- Examines important techniques, such as autopsy photography and radiology, microscopic examination, supplemental laboratory studies, and other investigative approaches.- Addresses the latest legal, social, and ethical issues relating to autopsies, as well as quality improvement and assurance.- Presents more than 600 full-color photographs depicting common gross and microscopic autopsy findings for every part of the body.- Correlates pathologic findings with their clinical causes to enhance diagnostic accuracy.- Improved images in the Atlas section provide greater visual understanding.- Additional online features include dissection videos demonstrating autopsy techniques; downloadable, commonly used forms for autopsy reports; and calculators for weights and measures.- Expert Consult eBook version included with purchase. This enhanced eBook experience offers access to all of the text, figures, images, videos, forms, calculators, and references from the book on a variety of devices.
Inbunden, Engelska, 2019
833 kr
Skickas inom 5-8 vardagar
Statistics, Data Mining, and Machine Learning in Astronomy is the essential introduction to the statistical methods needed to analyze complex data sets from astronomical surveys such as the Panoramic Survey Telescope and Rapid Response System, the Dark Energy Survey, and the Large Synoptic Survey Telescope. Now fully updated, it presents a wealth of practical analysis problems, evaluates the techniques for solving them, and explains how to use various approaches for different types and sizes of data sets. Python code and sample data sets are provided for all applications described in the book. The supporting data sets have been carefully selected from contemporary astronomical surveys and are easy to download and use. The accompanying Python code is publicly available, well documented, and follows uniform coding standards. Together, the data sets and code enable readers to reproduce all the figures and examples, engage with the different methods, and adapt them to their own fields of interest.An accessible textbook for students and an indispensable reference for researchers, this updated edition features new sections on deep learning methods, hierarchical Bayes modeling, and approximate Bayesian computation. The chapters have been revised throughout and the astroML code has been brought completely up to date.Fully revised and expandedDescribes the most useful statistical and data-mining methods for extracting knowledge from huge and complex astronomical data setsFeatures real-world data sets from astronomical surveysUses a freely available Python codebase throughoutIdeal for graduate students, advanced undergraduates, and working astronomers