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Product Details 基本信息 ISBN-13 书号 9789813348011 Author 作者 Manorama Bhargava Format 版本 平装-胶订 Pages Number 页数 246页 Publisher 出版社 Springer Berlin Heidelberg Publication Date 出版日期 2022-02-15 Language 语种 其它(含多语) Book Contents 内容简介 This book is a compendium of case studies in hematologic malignancies such as acute leukemias, myelodysplastic and myeloproliferative neoplasms, chronic leukemias and multiple myeloma covering cytogenetics (karyotyping Fluorescence in sitn hybridization (FISH)) and molecular studies in detail. The first few chapters describe the methodology employed for karyotyping, FISH and Real Time PCR technology conducive to establishment of these labs if required. Each case study is described in detail by including the clinical history of the patient, findings of peripheral blood, bone marrow aspirate and bone biopsy morphological details. This is then
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Product Details 基本信息 ISBN-13 书号 9789388305952 Author 作者 Cherry Bhargava Format 版本 精装 Pages Number 页数 153页 Publisher 出版社 Bs Publications Publication Date 出版日期 2019-01-01 Language 语种 其它(含多语) Book Contents 内容简介 About the book: this book is designed to meet the syllabus requirement of the b.Tech/b.E. (electronics and communication) course as prescribed by aicte and as per various universities curriculum. It comprehensively covers all the practical implementation of combinational as well as sequential digital logic. This book is systematically and well organized that assist the students to understand the practical significance of digital electronics and develop skill-set to create innovative projects using bread boards and digital integrated circuits. This handbook is a self-sufficient resource for building complex circuits using logic gates and integrated circuits. It p
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Product Details 基本信息 ISBN-13 书号 9781799814641 Author 作者 Cherry Bhargava Format 版本 精装 Pages Number 页数 365页 Publisher 出版社 IGI Publishing Publication Date 出版日期 2019-12-06 Shipping Weight 商品重量 2430g Language 语种 英语 Book Contents 内容简介 In the industry of manufacturing and design, one major constraint has been enhancing operating performance using less time. As technology continues to advance, manufacturers are looking for better methods in predicting the condition and residual lifetime of electronic devices in order to save repair costs and their reputation. Intelligent systems are a solution for predicting the reliability of these components; however, there is a lack of research on the advancements of this smart technology within the manufacturing industry. AI Techniques for Reliability Prediction for Electronic Components provides emerging research exploring the theo
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