05655nam 2200769 450 991014028980332120200520144314.01-118-41674-01-118-43426-91-118-42022-5(CKB)2670000000523076(EBL)1629158(SSID)ssj0001112227(PQKBManifestationID)11661572(PQKBTitleCode)TC0001112227(PQKBWorkID)11158787(PQKB)10414951(DLC) 2013043850(Au-PeEL)EBL1629158(CaPaEBR)ebr10837603(CaONFJC)MIL573941(OCoLC)870586961(CaSebORM)9781118416747(MiAaPQ)EBC1629158(EXLCZ)99267000000052307620131031h20142014 uy| 0engurunu|||||txtccrHeuristics in analytics a practical perspective of what influences our analytical world /Carlos Andre Reis Pinheiro, Fiona McNeill1st editionHoboken, New Jersey :John Wiley & Sons, Inc.,[2014]©20141 online resource (254 p.)Wiley & SAS business seriesDescription based upon print version of record.1-118-34760-9 Includes bibliographical references and index.Heuristics in Analytics: A Practical Perspective of What Influences Our Analytical World; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: Introduction; The Monty Hall Problem; Evolving Analytics; The Business Relevance of Analytics; The Role of Analytics in Innovation; Innovation in a Changing World; Summary; Chapter 2: Unplanned Events, Heuristics, and the Randomness in Our World; Heuristics Concepts; Heuristics in Operations; The Butterfly Effect; Random Walks; The Drunkard's Walk; Probability and Chance; SummaryChapter 3: The Heuristic Approach and Why We Use It Heuristics in Computing; Heuristic Problem-Solving Methods; Genetic Algorithms: A Formal Heuristic Approach; Foundation of Genetic Algorithms; Initialization; Selection; Reproduction; Termination; Pseudo-Code Algorithm; Benefits of Genetic Algorithms; Influences in Competitive Industries; Genetic Algorithms Solving Business Problems; Summary; Chapter 4: The Analytical Approach; Introduction to Analytical Modeling; The Competitive-Intelligence Cycle; Data; Information; Knowledge; Intelligence; Experience; SummaryChapter 5: Knowledge Applications That Solve Business Problems Customer Behavior Segmentation; Collection Models; Insolvency Segmentation; Collection Notice Recovery; Anticipating Revenue from Collection Actions; Insolvency Prevention; Bad-Debt Classification; Avoiding Taxes; Fraud-Propensity Models; New Fraud Detection; Classifying Fraudulent Usage Behavior; Summary; Chapter 6: The Graph Analysis Approach; Introduction to Graph Analysis; Graphs Structures, Network Metrics, and Analyses Approaches; Network Metrics; Types of Subgraphs; Summary; Chapter 7: Graph Analysis Case StudiesCase Study: Identifying Influencers in Telecommunications Background in Churn and Sales; Internal Networks; Customer Influence; Customer Influence and Business Event Correlation; Possible Business Applications and Final Figures in Churn and Sales; Case Study: Claim Validity Detection in Motor Insurance; Background in Insurance and Claims; Network Definition; Participant Networks; Group Analysis; Identifying Outliers; Final Figures in Claims; Visualizing for More Insight; Final Figures in Insurance Exaggeration; Case Study: Fraud Identification in Mobile OperationsBackground in Telecommunications Fraud Social Networks and Fraud; Community Detection; Finding the Outliers within Communities; Rules and Thresholds for Community Outliers; Fraudster Visualization; Final Figures in Fraud; Summary; Chapter 8: Text Analytics; Text Analytics in the Competitive-Intelligence Cycle; Information Revisited; Knowledge Revisited; Linguistic Models; Text-Mining Models; Intelligence Revisited; Experience Revisited; Summary; Bibliography; IndexA practical guide to deploying mathematical and statistical models when performing analytics The Heuristics in Analytics describes analytic processes and how they fit into the heuristic world around us. In spite of the strong heuristic characteristics of the analytical processes, this important book emphasizes the need to have the proper tools to engage analytics. It describes the analytical process from the exploratory analysis in respect to business scenarios and corporate environments, to model developments; and from statistics, probability, stochastic, mathematics, and artiWiley and SAS business series.ManagementStatistical methodsDecision makingStatistical methodsBusiness planningStatistical methodsHeuristic algorithmsSystem analysisManagementStatistical methods.Decision makingStatistical methods.Business planningStatistical methods.Heuristic algorithms.System analysis.658.4/033Reis Pinheiro Carlos Andre1940-880217McNeill Fiona880218MiAaPQMiAaPQMiAaPQBOOK9910140289803321Heuristics in analytics1965349UNINA06244nam 22006013u 450 991097367640332120240501071021.09780444632661044463266297804446326540444632654(CKB)3710000000761898(EBL)4613243(NjHacI)993710000000761898(PPN)198054394(FR-PaCSA)88835245(MiAaPQ)EBC4613243(FRCYB88835245)88835245(BIP)46841789(EXLCZ)99371000000076189820160808d2015|||| u|| |engur|n|---|||||txtrdacontentcrdamediacrrdacarrierStem Cell Manufacturing1st ed.Oxford Elsevier Science2015Oxford :Elsevier Science,2015.1 online resource (342 p.)Description based upon print version of record.Front Cover; STEM CELL MANUFACTURING; STEM CELL MANUFACTURING; Copyright; CONTENTS; LIST OF CONTRIBUTORS; INTRODUCTION; 1 - Genetic Engineering in Stem Cell Biomanufacturing ; 1.1 INTRODUCTION; 1.2 GENETIC MANIPULATION APPROACHES IN HUMAN PLURIPOTENT STEM CELLS; 1.2.1 Transgenic Approaches; 1.2.2 Knock-In and Knock-Out Approaches; 1.2.2.1 Zinc-Finger Nucleases; 1.2.2.2 Transcription Activator-Like Effector Nucleases; 1.2.2.3 Clustered Regularly Interspaced Short Palindromic Repeat/Cas9; 1.2.3 Bacterial Artificial Chromosomes; 1.3 APPLICATIONS1.3.1 Genetic Labeling for Cell Identification and Cell Tracking1.3.2 Gene Alteration for Directed Differentiation; 1.3.3 Gene Disruption for Functional Investigation; 1.3.4 Gene Correction for Function Restoration; 1.4 DELIVERY METHODS; 1.4.1 Transfection; 1.4.2 Nucleofection; 1.4.3 Viral Transduction; 1.5 CONCLUSIONS; ACKNOWLEDGMENTS; REFERENCES; 2 - Biomechanics in Stem Cell Manufacturing; 2.1 INTRODUCTION; 2.2 CELLULAR BIOMECHANICS; 2.2.1 Biomechanical Cues; 2.2.2 Shear Forces and Differentiated Cells; 2.2.3 Shear Forces and Pluripotent Stem Cells2.3 SCALE UP TOWARD PRODUCTION-LEVEL BIOREACTORS2.4 BIOMANUFACTURING CELLS FOR THERAPIES; 2.4.1 Pluripotent Stem Cells; 2.4.2 Cardiomyocytes; 2.4.3 Endothelial Cells; 2.5 CONCLUSION; REFERENCES; 3 - Bioreactor Engineering Fundamentals for Stem Cell Manufacturing ; 3.1 INTRODUCTION; 3.2 STIRRED BIOREACTOR BASICS; 3.3 SPECIAL FEATURES OF STIRRED BIOREACTORS FOR HMSC CULTURE ON MICROCARRIERS; 3.3.1 Introduction; 3.3.2 Preparing the Bioreactor for Culture; 3.3.3 Medium and Medium Exchange; 3.3.4 Microcarrier Selection; 3.3.5 Cell and Microcarrier Concentrations; 3.3.6 Attachment Protocol3.3.7 Use of Coatings to Enhance Attachment3.3.8 The Minimum Speed for Suspension, NJS and Associated Mean Specific Energy Dissipation Rate, εT;̄ 3.3.8.1 General Aspects; 3.3.8.2 NJS Considerations in hMSC Culture; 3.3.9 Oxygen Demand, Mass Transfer, and Optimum Dissolved Oxygen; 3.3.9.1 General Considerations; 3.3.9.2 Application to hMSC Culture; 3.3.10 Fluid Dynamically Generated Stresses and Cell Proliferation; 3.3.10.1 General Considerations; 3.3.10.2 Application to hMSC Culture; 3.3.11 Fluid Dynamically Generated Stresses and Their Application to Cell Harvesting; 3.4 FUTURE ISSUES3.4.1 Increasing Cell Density3.4.2 Oxygen Demand and Mass Transfer at Higher Cell Density-Sparging and Higher Agitator Speeds; 3.4.3 Carbon Dioxide, Osmolality, and pH; 3.4.4 Human-Induced and Embryonic Pluripotent Stem Cells; 3.5 CONCLUSIONS; NOMENCLATURE; REFERENCES; 4 - Microcarrier Culture Systems for Stem Cell Manufacturing ; 4.1 OVERVIEW; 4.1.1 Historical Perspective; 4.2 MICROCARRIER TECHNOLOGY; 4.2.1 Types of Microcarriers; 4.2.2 Properties of Microcarriers Required for Cell Culturing; 4.2.3 Advantages of Using Microcarrier Culture Systems for Cell Manufacturing4.3 SCALABLE CULTURE SYSTEMS FOR ADHERENT STEM CELLSStem Cell Manufacturing discusses the required technologies that enable the transfer of the current laboratory-based practice of stem cell tissue culture to the clinic environment as therapeutics, while concurrently achieving control, reproducibility, automation, validation, and safety of the process and the product.The advent of stem cell research unveiled the therapeutic potential of stem cells and their derivatives and increased the awareness of the public and scientific community for the topic. The successful manufacturing of stem cells and their derivatives is expected to have a positive impact in the society since it will contribute to widen the offer of therapeutic solutions to the patients. Fully defined cellular products can be used to restore the structure and function of damaged tissues and organs and to develop stem cell-based cellular therapies for the treatment of cancer and hematological disorders, autoimmune and other inflammatory diseases and genetic disorders.- Presents the first 'Flowchart' of stem cell manufacturing enabling easy understanding of the various processes in a sequential and coherent manner- Covers all bioprocess technologies required for the transfer of the bench findings to the clinic including the process components: cell signals, bioreactors, modeling, automation, safety, etc.- Presents comprehensive coverage of a true multidisciplinary topic by bringing together specialists in their particular area- Provides the basics of the processes and identifies the issues to be resolved for large scale cell culture by the bioengineer- Addresses the critical need in bioprocessing for the successful delivery of stem cell technology to the market place by involving professional engineers in sections of the bookStem cellsStem cells.616.02774Cabral Joaquim S1873820da Silva Claudia Lobato1795425Chase Lucas G1695780Diogo Maria Margarida1795426AU-PeELAU-PeELAU-PeELBOOK9910973676403321Stem Cell Manufacturing4484065UNINA