Section 1: Respiratory System 1. Current Approach to Weaning: Role of Ultrasound and Biomarkers 2. Ventilation-induced Lung Injury: Ergotrauma 3. Transpulmonary Pressure: Physiology and Implications at Bedside 4. Nebulized Drug Delivery: A Contemporary Review Section 2: Hemodynamics 5. Noninvasive Hemodynamic Monitoring as a Tool: Current Practice and Evidence 6. The Choice of Vasopressor in Shock: Current Evidence 7. Best Papers of the Decade on Shock and Hemodynamic Monitoring 8. Personalized Hemodynamic Targets: The Need of the Hour? Section 3: Infections and Antimicrobials 9. Looking Beyond Antimicrobials: Newer Concepts and Technologies 10. Emerging Choices for Resistant Infections 11. Biomarkers in Sepsis: What to Expect in Future? 12. Critical Appraisal of Surviving Sepsis Guidelines 2021 Section 4: Hematology 13. Hemophagocytic Lymphohistiocytosis Syndrome: Increasing Relevance to the Intensivist and All about it 14. Expanding Role of Rotational Thromboelastometry in Critical Care: What to Expect 15. Current Evidence on Transfusion Strategies in ICU 16. Update on Neutropenic Sepsis Section 5: Organizational Issues 17. Lessons Learned: Role of Critical Care Professionals Post COVID-19 Pandemic 18. Big Data Analysis and AI: How can Intensive Care Benefit? 19. Post-ICU Follow-up: What to Look for and How to Schedule? 20. Communication in ICU Using IT Tools
This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses. This book has three parts:(a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter.(b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data sets of the Centers for Disease Control and Prevention's Behavioral Risk Factor Surveillance System.(c) Predictive Analytics Two foundational and widely used algorithms, k-nearest neighbors and naive Bayes, are developed in detail. A chapter is dedicated to forecasting. The last chapter focuses on streaming data and uses publicly accessible data streams originating from the Twitter API and the NASDAQ stock market in the tutorials. This book is intended for a one- or two-semester course in data analytics for upper-division undergraduate and graduate students in mathematics, statistics, and computer science. The prerequisites are kept low, and students with one or two courses in probability or statistics, an exposure to vectors and matrices, and a programming course will have no difficulty. The core material of every chapter is accessible to all with these prerequisites. The chapters often expand at the close with innovations of interest to practitioners of data science. Each chapter includes exercises of varying levels of difficulty. The text is eminently suitable for self-study and an exceptional resource for practitioners.
Section 1: Respiratory System 1. Current Approach to Weaning: Role of Ultrasound and Biomarkers 2. Ventilation-induced Lung Injury: Ergotrauma 3. Transpulmonary Pressure: Physiology and Implications at Bedside 4. Nebulized Drug Delivery: A Contemporary Review Section 2: Hemodynamics 5. Noninvasive Hemodynamic Monitoring as a Tool: Current Practice and Evidence 6. The Choice of Vasopressor in Shock: Current Evidence 7. Best Papers of the Decade on Shock and Hemodynamic Monitoring 8. Personalized Hemodynamic Targets: The Need of the Hour? Section 3: Infections and Antimicrobials 9. Looking Beyond Antimicrobials: Newer Concepts and Technologies 10. Emerging Choices for Resistant Infections 11. Biomarkers in Sepsis: What to Expect in Future? 12. Critical Appraisal of Surviving Sepsis Guidelines 2021 Section 4: Hematology 13. Hemophagocytic Lymphohistiocytosis Syndrome: Increasing Relevance to the Intensivist and All about it 14. Expanding Role of Rotational Thromboelastometry in Critical Care: What to Expect 15. Current Evidence on Transfusion Strategies in ICU 16. Update on Neutropenic Sepsis Section 5: Organizational Issues 17. Lessons Learned: Role of Critical Care Professionals Post COVID-19 Pandemic 18. Big Data Analysis and AI: How can Intensive Care Benefit? 19. Post-ICU Follow-up: What to Look for and How to Schedule? 20. Communication in ICU Using IT Tools
This book presents state of art research in speech emotion recognition. Readers are first presented with basic research and applications – gradually more advance information is provided, giving readers comprehensive guidance for classify emotions through speech. Simulated databases are used and results extensively compared, with the features and the algorithms implemented using MATLAB. Various emotion recognition models like Linear Discriminant Analysis (LDA), Regularized Discriminant Analysis (RDA), Support Vector Machines (SVM) and K-Nearest neighbor (KNN) and are explored in detail using prosody and spectral features, and feature fusion techniques.
Production Technology is intended for the students of B.Tech in Mechanical, Production and Manufacturing Engineering. It deals with fundamental concepts of Foundry, Forming, Welding technologies and Foundry mechanization. Additionally, material regarding furnaces, Solidification of castings, Casting defects, Metals and alloys and Plastics has been provided. The book covers both theoretical and analytical concepts. The analytical concepts are introduced starting from fundamentals for easy comprehension. Several worked examples, review and objective type questions are provided at the end of each chapter. More than 150 line sketches are included, which are self-explanatory and easy to reproduce in the examination.
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