Analytic capacity, the cauchy transform, and non-homogeneous calderón–zygmund theory / by Xavier Tolsa |
Autore | Tolsa Xavier |
Edizione | [1st edition, 2014] |
Pubbl/distr/stampa | Cham, : Springer International Publishing, 2014 |
Descrizione fisica | 1 recurso en línea (402 páginas) : ilustraciones |
Disciplina | 515.9 |
Collana | Progress in Mathematics |
Soggetto topico | Functions of complex variables |
Soggetto genere / forma | Libros electrónicos |
ISBN |
3-319-00596-0
978-3319345444 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910299963403321 |
Tolsa Xavier | ||
Cham, : Springer International Publishing, 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Applications of cloud computing : approaches and practices / / edited by Prerna Sharma, Moolchand Sharma, Mohamed Elhoseny |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton : , : Chapman & Hall/CRC, , 2021 |
Descrizione fisica | 1 recurso en línea (210 pages) : il., gráf. y tablas |
Disciplina | 004.6782 |
Collana | Chapman & Hall/CRC distributed sensing and intelligent systems series |
Soggetto topico | Cloud computing |
Soggetto genere / forma | Libros electrónicos |
Soggetto non controllato | Informática |
ISBN |
1-00-302569-2
1-000-21462-1 1-003-02569-2 1-000-21446-X |
Classificazione | C6190V |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910794315603321 |
Boca Raton : , : Chapman & Hall/CRC, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Applications of cloud computing : approaches and practices / / edited by Prerna Sharma, Moolchand Sharma, Mohamed Elhoseny |
Edizione | [First edition.] |
Pubbl/distr/stampa | Boca Raton : , : Chapman & Hall/CRC, , 2021 |
Descrizione fisica | 1 recurso en línea (210 pages) : il., gráf. y tablas |
Disciplina | 004.6782 |
Collana | Chapman & Hall/CRC distributed sensing and intelligent systems series |
Soggetto topico | Cloud computing |
Soggetto genere / forma | Libros electrónicos |
Soggetto non controllato | Informática |
ISBN |
1-00-302569-2
1-000-21462-1 1-003-02569-2 1-000-21446-X |
Classificazione | C6190V |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Dedication -- Table of Contents -- List of Tables and Figures -- Preface -- Editors -- Contributors -- About This Book -- Chapter 1: Analysis of Biological Information Using Statistical Techniques in Cloud Computing -- 1.1 What Is Bioinformatics? -- 1.1.1 A Brief History -- 1.1.2 Tools and Techniques -- 1.1.3 Future Scope -- 1.2 Cloud Analytics -- 1.2.1 Analytic Services -- 1.2.2 Bioinformatics Cloud -- 1.3 Bioinformatics Cloud Computing Services -- 1.3.1 Data as a Service (DaaS) -- 1.3.1.1 EMBOSS -- 1.3.1.2 J-GLOBAL -- 1.3.1.3 Gene Set Builder -- 1.3.1.4 BioDWH -- 1.3.1.5 AWS Public Datasets -- 1.3.1.6 SeqHound -- 1.3.2 Software as a Service (SaaS) -- 1.3.2.1 Lhasa Cloud -- 1.3.2.2 eCEO -- 1.3.2.3 StormSeq -- 1.3.2.4 Crossbow -- 1.3.2.5 CloudBurst -- 1.3.3 Platform as a Service (PaaS) -- 1.3.3.1 DNAnexus -- 1.3.3.2 Magallanes -- 1.3.3.3 Google Genomics -- 1.3.3.4 Syapse -- 1.3.3.5 BioServices -- 1.3.3.6 Eoulsan -- 1.3.4 Infrastructure as a Service (IaaS) -- 1.3.4.1 Google Compute Engine -- 1.3.4.2 GoGrid -- 1.3.4.3 HP Helion -- 1.3.4.4 Joyent -- 1.4 CSIM Architecture -- 1.5 Implementation Challenges -- 1.5.1 Security and Privacy -- 1.5.2 Legal Aspects -- References -- Chapter 2: Intelligent Cloud Computing and Bioinformatics Data Analysis -- 2.1 Introduction -- 2.1.1 Introduction to Intelligent Cloud Computing -- 2.1.2 Contemporary Advancements in Bioinformatics Data Analysis -- 2.1.3 Reasons for the Use of Intelligent Cloud Computing in Bioinformatics -- 2.1.4 Terminology and Abbreviations -- 2.2 Principal Disciplines of Intelligent Cloud Computing and Bioinformatics Data Analysis -- 2.2.1 Intelligent Cloud Computing Architecture -- 2.2.2 Current Frameworks in Bioinformatics Data Analysis -- 2.2.2.1 MapReduce with Hadoop for Big Data Analysis.
2.2.2.2 Applications of Service Models -- 2.2.2.3 Cloud Developments in Translational Biomedical Sciences -- 2.3 Bioinformatics Data Analysis Methodologies Compared -- 2.3.1 AiNET (Artificial Immune NETwork) -- 2.3.2 Microarray Data Analysis -- 2.4 Challenges and Opportunities -- 2.4.1 Technical Challenges and Scope for Improvement -- 2.4.1.1 Workload Factoring -- 2.4.1.2 Network Bandwidth -- 2.4.1.3 Heterogeneous Distributed Database System -- 2.4.2 Implementations and Applications -- 2.5 Further Advancements -- 2.6 Conclusion -- References -- Chapter 3: Cloud Computing Service Models: Traditional and User-Centric Approaches -- 3.1 Introduction -- 3.2 Traditional Cloud Computing Service Models -- 3.2.1 Types of Traditional Cloud Computing Service Models -- 3.2.1.1 Infrastructure as a Service -- 3.2.1.2 Platform as a Service -- 3.2.1.3 Software as a Service -- 3.2.2 Security Issues in Traditional Cloud Computing Service Models -- 3.2.2.1 Security Problems of SaaS -- 3.2.2.2 Security Problems of PaaS -- 3.2.2.3 Security Problems of IaaS -- 3.2.2.4 Current Security Solutions -- 3.2.3 Summary -- 3.3 A User-Centric Approach to a Mobile Cloud Computing Service Model -- 3.3.1 Current Mobile Cloud Services Models -- 3.3.2 Existing Mobile Cloud Applications -- 3.3.2.1 Mobile Cloud's Computational Task -- 3.3.2.2 Mobile Cloud Storage -- 3.3.2.3 Security and Privacy -- 3.3.2.4 MCC Context Awareness -- 3.3.3 From Internet Clouds to User-Centric Mobile Clouds -- 3.3.3.1 Current Mobile Cloud Computing and the Direction of Travel -- 3.3.3.2 The User-Centric Approach to Mobile Cloud Computing -- 3.3.4 Design Principles of User-Centric Mobile Cloud Computing -- 3.3.5 Mobile as a Representative: A User-Centric Methodology -- 3.3.6 User-Centric MaaR Model-Based Application Scenario -- 3.3.7 Summary -- 3.4 Case Studies -- 3.4.1 Instagram: The Billion-Dollar App. 3.4.2 Netflix: An Established Company That Shifted Its Entire Enterprise to the Cloud -- 3.4.3 NOAA, Email, and Collaboration in the Cloud: A Government Case -- 3.4.4 The Obama Campaign: A Not-for-Profit Case -- 3.4.5 Summary -- 3.5 Conclusion -- References -- Chapter 4: Biometrics as a Service -- 4.1 Introduction -- 4.2 Cloud and Mobility -- 4.3 Complex Threats and the Cybersecurity Landscape -- 4.3.1 Cloud-Enabled BYOD -- 4.3.2 Virtualization for BYOD -- 4.3.3 Emerging Mobile Business Workforce -- 4.3.4 The Financial and Banking Sector -- 4.3.4.1 Challenges -- 4.3.5 E-Commerce -- 4.3.5.1 Challenges -- 4.3.5.2 Variety of Devices and Operating Software -- 4.3.5.3 Identity and Access Management Difficulties in the Workplace -- 4.4 Emergence of Biometrics -- 4.4.1 Ubiquitous Biometric Technology -- 4.5 Taking Biometrics to the Cloud -- 4.5.1 Biometrics Meet Banking -- 4.5.2 Secure Payments -- 4.6 Biometrics as a Service Approaches -- 4.6.1 Market Challenges with Biometrics -- 4.7 Future Capabilities -- References -- Chapter 5: The Role of Intelligent Grid Technology in Cloud Computing -- 5.1 Introduction -- 5.2 Fundamentals of Grid and Cloud Computing -- 5.2.1 Grid Computing -- 5.2.1.1 Classification of Grid Operations -- 5.2.1.2 Benefits of Grid Computing -- 5.2.1.3 Disadvantages of Grid Computing -- 5.3 Cloud Computing -- 5.3.1 Types of Cloud -- 5.4 Models of Grid and Cloud Computing -- 5.4.1 Distributed Computing -- 5.5 Cloud Computing and Grid Computing Compared -- 5.6 Model -- 5.6.1 Software -- 5.6.2 Infrastructure -- 5.6.3 Platform -- 5.6.4 Applications -- 5.7 Virtualization and Cloud Computing -- 5.8 Techniques -- 5.8.1 Service Orientation and Web Services -- 5.8.2 Data Execution -- 5.8.3 Monitoring -- 5.8.4 Amazon Cloud Watch -- 5.8.5 Azure Diagnostic Monitor -- 5.8.6 Hyperic Cloud Status -- 5.8.7 Autonomic Computing. 5.8.8 Structure and Effects of Clouds and Grids -- 5.8.9 Interoperability -- 5.9 The Future of Grid Computing -- 5.10 Conclusion -- References -- Chapter 6: Application of Networks in Cloud Computing -- 6.1 Introduction to Cloud Networking -- 6.2 Networks -- 6.2.1 Types of Network -- 6.2.2 Network Operating Systems -- 6.2.3 Network Architecture -- 6.2.3.1 Cloud Architectural Layers -- 6.2.3.2 Network Architecture for Clouds -- 6.2.3.2.1 Data Centre Network -- 6.2.3.2.2 Data Centre Interconnect Network -- 6.2.3.2.3 Network Protocols -- 6.2.4 Network Security -- 6.3 Importance of Networking in Cloud Computing -- 6.4 Challenges in Existing Cloud Networks -- 6.5 Future Scope in Cloud Networking -- 6.6 Conclusion -- References -- Chapter 7: Privacy and Security Issues in Cloud Computing -- 7.1 Introduction -- 7.1.1 Definition -- 7.1.2 Service Models -- 7.1.2.1 Infrastructure as a Service (IaaS) -- 7.1.2.2 Platform as a Service (PaaS) -- 7.1.2.3 Software as a Service (SaaS) -- 7.1.3 Deployment Models -- 7.2 Research Challenges in Cloud Computing -- 7.3 Cloud Computing Solutions -- 7.3.1 Security Issues -- 7.3.1.1 Trusted Third Party -- 7.3.1.1.1 Low- and High-Level Confidentiality -- 7.3.1.1.2 Authentication of Server and Client -- 7.3.1.1.3 Formation of Security Domains -- 7.3.1.1.4 Data Cryptographic -- 7.3.1.1.5 Authorization Based on Certificate -- 7.3.1.1.5.1 Access Control Method -- 7.3.1.1.5.2 Policy Integration Method -- 7.3.2 Privacy Issues -- 7.3.2.1 Identity Management -- 7.3.2.2 User Control Methods -- 7.4 Conclusion -- References -- Chapter 8: Design and Development of E-Commerce-Oriented PaaS Application in Cloud Computing Environment -- 8.1 Introduction -- 8.2 Literature Survey -- 8.3 Proposed Framework -- 8.3.1 Steps involved in Verification and Validation of Application -- 8.3.2 Web Application -- 8.3.3 Credit Card Validation Process. 8.3.4 LUHN MOD 10 Algorithm -- 8.3.4.1 Steps of Luhn Algorithm -- 8.3.4.2 Example of Luhn Algorithm -- 8.3.4.3 Algorithm Used -- 8.4 Simulation Performed -- 8.4.1 Simulation Environment -- 8.4.2 Google App Engine -- 8.5 Implementation/Execution -- 8.6 Conclusion and Future Work -- References -- Chapter 9: UAV Environment in FANET: An Overview -- 9.1 Introduction -- 9.2 Related Work -- 9.3 FANET Overview -- 9.3.1 Categories of UAVs -- 9.3.2 UAV Communication -- 9.4 Routing Techniques -- 9.4.1 Clustering -- 9.4.2 Discovery -- 9.4.3 Link State -- 9.4.4 Mobility Information -- 9.4.5 Prediction -- 9.4.6 Energy Efficiency -- 9.4.7 Secured Link -- 9.4.8 Broadcasting -- 9.4.9 Store and Carry Forward -- 9.4.10 Greedy Forwarding -- 9.4.11 Static Technique -- 9.4.12 Hierarchical Technique -- 9.5 Cloud Computing in FANET -- 9.6 Mobility Models -- 9.7 Routing Protocols -- 9.7.1 Energy-Based Routing Protocols -- 9.7.2 Security-Based Routing Protocols -- 9.8 Challenges and Solutions -- 9.9 Conclusion -- References -- Chapter 10: A Transition from Cloud to Fog Computing: Identifying Features, Challenges and the Future -- 10.1 Introduction -- 10.2 From Cloud Computing to Fog Computing -- 10.3 Fog Computing -- 10.4 Differences between Cloud Computing and Fog Computing -- 10.5 Fog Computing Model -- 10.5.1 Layered Architecture of Fog Computing -- 10.6 Applications of Fog Computing -- 10.7 Advantages of Fog Computing -- 10.8 Application of Fog Computing in Smart Cities -- 10.8.1 Traffic Regulation -- 10.8.2 Waste Management -- 10.8.3 Environmental Control -- 10.8.4 Surveillance Systems -- 10.9 Limitations of Adopting Fog Computing -- References -- Index. |
Record Nr. | UNINA-9910821386603321 |
Boca Raton : , : Chapman & Hall/CRC, , 2021 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Aquaculture production systems / / editor, James H. Tidwell |
Pubbl/distr/stampa | Ames, Iowa : , : Wiley-Blackwell, , 2012 |
Descrizione fisica | 1 recurso en liña (439 páxinas) |
Collana | World Aquaculture Society Book series |
Soggetto topico | Acuicultura |
Soggetto genere / forma | Libros electrónicos |
ISBN |
1-280-58795-4
9786613617781 1-118-25010-9 1-118-25006-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Aquaculture Production Systems; Contents; Contributors; Preface; Acknowledgments; 1 The Role of Aquaculture; 1.1 Seafood demand; 1.2 Seafood supply; 1.3 Seafood trade; 1.4 Status of aquaculture; 1.5 Production systems; 1.6 The future and the challenge; 1.7 References; 2 History of Aquaculture; 2.1 Beginnings of aquaculture; 2.2 Expansion prior to the mid-1800s; 2.3 The explosion of hatcheries; 2.4 Art becomes science; 2.5 Commercial finfish species development; 2.6 Shrimp culture; 2.7 Mollusk culture; 2.8 Controversy; 2.9 References; 3 Functions and Characteristics of All Aquaculture Systems
3.1 Differences in aquatic and terrestrial livestock3.2 Ecological services provided by aquaculture production systems; 3.3 Diversity of aquaculture animals; 3.4 Temperature classifications of aquacultured animals; 3.5 Temperature control in aquaculture systems; 3.6 Providing oxygen in aquaculture systems; 3.7 Waste control in aquaculture systems; 3.8 Aquaculture systems as providers of natural foods; 3.9 References; 4 Characterization and Categories of Aquaculture Production Systems; 4.1 Open systems; 4.2 Semi-closed systems; 4.3 Closed systems; 4.4 Hybrid systems; 4.5 References 5 Shellfish Aquaculture5.1 Major species in culture (oysters, clams, scallops, mussels); 5.2 History; 5.3 Biology; 5.4 Culture basics; 5.5 Extensive versus intensive culture; 5.6 Spat collection: hatchery, nursery, growout; 5.7 Cultured algae; 5.8 Spawning; 5.9 Larval development; 5.10 Setting; 5.11 Nursery and growout scale considerations; 5.12 Nursery methods; 5.13 Growout methods; 5.14 Fouling; 5.15 Fouling control strategies; 5.16 Predation; 5.17 Harvest; 5.18 Food safety; 5.19 Shellfish diseases; 5.20 Disease management options; 5.21 Genetics: selective breeding; 5.22 Triploidy 5.23 Harmful algal blooms5.24 Site selection; 5.25 Carrying capacity; 5.26 Permitting challenges; 5.27 Nonnative species; 5.28 References; 6 Cage Culture in Freshwater and Protected Marine Areas; 6.1 Current status of cage culture; 6.2 History and evolution of cage culture; 6.3 Advantages and disadvantages of cages; 6.4 Site selection; 6.5 Stocking cages; 6.6 Feeding caged fish; 6.7 Polyculture and integrated systems; 6.8 Problems with cage culture; 6.9 Economics of cage culture; 6.10 Sustainability issues; 6.11 References; 7 Ocean Cage Culture; 7.1 The context for open ocean farming 7.2 Characterization and selection of open ocean sites7.3 Technologies for open ocean farming; 7.4 Finfish species cultivated in open ocean cages; 7.5 Environmental considerations; 7.6 Future prospects and challenges; 7.7 References; 8 Reservoir Ranching; 8.1 Reservoir ranching vs. culture-based fisheries; 8.2 Reservoir; 8.3 Natural processes of reservoirs; 8.4 Selection of reservoirs for reservoir ranching; 8.5 Fish species selection; 8.6 Stocking density and size; 8.7 Status of reservoir ranching around the world; 8.8 Summary; 8.9 References; 9 Flow-through Raceways; 9.1 Types of raceways 9.2 Physical requirements |
Record Nr. | UNINA-9910141329803321 |
Ames, Iowa : , : Wiley-Blackwell, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Aquaculture production systems / / editor, James H. Tidwell |
Pubbl/distr/stampa | Ames, Iowa : , : Wiley-Blackwell, , 2012 |
Descrizione fisica | 1 recurso en liña (439 páxinas) |
Collana | World Aquaculture Society Book series |
Soggetto topico | Acuicultura |
Soggetto genere / forma | Libros electrónicos |
ISBN |
1-280-58795-4
9786613617781 1-118-25010-9 1-118-25006-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Aquaculture Production Systems; Contents; Contributors; Preface; Acknowledgments; 1 The Role of Aquaculture; 1.1 Seafood demand; 1.2 Seafood supply; 1.3 Seafood trade; 1.4 Status of aquaculture; 1.5 Production systems; 1.6 The future and the challenge; 1.7 References; 2 History of Aquaculture; 2.1 Beginnings of aquaculture; 2.2 Expansion prior to the mid-1800s; 2.3 The explosion of hatcheries; 2.4 Art becomes science; 2.5 Commercial finfish species development; 2.6 Shrimp culture; 2.7 Mollusk culture; 2.8 Controversy; 2.9 References; 3 Functions and Characteristics of All Aquaculture Systems
3.1 Differences in aquatic and terrestrial livestock3.2 Ecological services provided by aquaculture production systems; 3.3 Diversity of aquaculture animals; 3.4 Temperature classifications of aquacultured animals; 3.5 Temperature control in aquaculture systems; 3.6 Providing oxygen in aquaculture systems; 3.7 Waste control in aquaculture systems; 3.8 Aquaculture systems as providers of natural foods; 3.9 References; 4 Characterization and Categories of Aquaculture Production Systems; 4.1 Open systems; 4.2 Semi-closed systems; 4.3 Closed systems; 4.4 Hybrid systems; 4.5 References 5 Shellfish Aquaculture5.1 Major species in culture (oysters, clams, scallops, mussels); 5.2 History; 5.3 Biology; 5.4 Culture basics; 5.5 Extensive versus intensive culture; 5.6 Spat collection: hatchery, nursery, growout; 5.7 Cultured algae; 5.8 Spawning; 5.9 Larval development; 5.10 Setting; 5.11 Nursery and growout scale considerations; 5.12 Nursery methods; 5.13 Growout methods; 5.14 Fouling; 5.15 Fouling control strategies; 5.16 Predation; 5.17 Harvest; 5.18 Food safety; 5.19 Shellfish diseases; 5.20 Disease management options; 5.21 Genetics: selective breeding; 5.22 Triploidy 5.23 Harmful algal blooms5.24 Site selection; 5.25 Carrying capacity; 5.26 Permitting challenges; 5.27 Nonnative species; 5.28 References; 6 Cage Culture in Freshwater and Protected Marine Areas; 6.1 Current status of cage culture; 6.2 History and evolution of cage culture; 6.3 Advantages and disadvantages of cages; 6.4 Site selection; 6.5 Stocking cages; 6.6 Feeding caged fish; 6.7 Polyculture and integrated systems; 6.8 Problems with cage culture; 6.9 Economics of cage culture; 6.10 Sustainability issues; 6.11 References; 7 Ocean Cage Culture; 7.1 The context for open ocean farming 7.2 Characterization and selection of open ocean sites7.3 Technologies for open ocean farming; 7.4 Finfish species cultivated in open ocean cages; 7.5 Environmental considerations; 7.6 Future prospects and challenges; 7.7 References; 8 Reservoir Ranching; 8.1 Reservoir ranching vs. culture-based fisheries; 8.2 Reservoir; 8.3 Natural processes of reservoirs; 8.4 Selection of reservoirs for reservoir ranching; 8.5 Fish species selection; 8.6 Stocking density and size; 8.7 Status of reservoir ranching around the world; 8.8 Summary; 8.9 References; 9 Flow-through Raceways; 9.1 Types of raceways 9.2 Physical requirements |
Record Nr. | UNINA-9910822532603321 |
Ames, Iowa : , : Wiley-Blackwell, , 2012 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
The civic organization and the digital citizen : communicating engagement in a networked age / / Chris Wells |
Autore | Wells Chris |
Pubbl/distr/stampa | New York : , : Oxford University Press, , 2015 |
Descrizione fisica | 1 online resource : illustrations (black and white) |
Disciplina | 323/.04202854678 |
Collana | Oxford studies in digital politics The civic organization and the digital citizen |
Soggetto topico |
Political participation - Technological innovations
Communication in politics - Technological innovations Internet - Political aspects Participación política - Innovaciones tecnológicas Política - Comunicación - Innovaciones tecnológicas Internet - Aspectos políticos Government - General Law, Politics & Government Political Institutions & Public Administration - General |
Soggetto genere / forma | Libros electrónicos |
ISBN | 0-19-020365-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Altri titoli varianti | Civic organization and the digital citizen |
Record Nr. | UNINA-9910154314503321 |
Wells Chris | ||
New York : , : Oxford University Press, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A companion to anthropological genetics / / edited by Dennis H. O'Rourke |
Pubbl/distr/stampa | Hoboken, New Jersey ; ; Oxford, England : , : Wiley Blackwell, , 2019 |
Descrizione fisica | 1 recurso en liña (491 páxinas) |
Disciplina | 599.9 |
Collana | Blackwell companions to anthropology |
Soggetto topico | Anthropoloxía |
Soggetto genere / forma | Libros electrónicos |
ISBN |
1-118-76898-1
1-118-76919-8 1-118-76885-X |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | History and evolution of anthropological genetics / Michael H. Crawford -- The ethics of genetic ancestry testing / Nanibaa' A. Garrison and Jessica D. Bardill -- Community oriented research and the future of anthropological genetics / Ripan S. Malhi -- Calibrating the clock / Murray P. Cox -- Primate genomics and phylogenetics / Christopher A. Schmitt and Omer Gokcumen -- The Neanderthals and Denisovan genomes / Sloan R. Williams -- Evaluating correspondence in phenotypic variation, genetic diversity, geography, and environmental factors / Noreen von Cramon-Taubadel -- Simulating human demographic processes and patterns of genetic variation / Aida T. Miro-Herrans -- Human population structure and history / John H. Relethford -- Regional patterns of variation : concepts and applications / Graciela S. Cabana -- Genetic variation and the colonization of Eurasia / Toomas Kivisild -- Homo sapiens dispersal and the peopling of the Americas / Rafael Bisso-Machado and Nelson Jurandi Rosa Fagundes -- Ancient DNA and bioarchaeology / Jennifer Raff -- Tempo of recent human evolution / Michael Weight and Henry Harpending -- Natural selection and adaptation to extreme environments : high latitudes and altitudes / Abigail Bigham -- Sensory polymorphisms and dietary adaptation / Carrie C. Veilleux -- The evolution of the human pigmentation phenotype / Heather L. Norton -- Anthropological genetics and growth and development / Bradford Towne, Ellen W. Demerath, and Stefan A. Czerwinski -- Epigenetics and human variation / Amy L. Non and Zaneta M. Thayer -- The primate immune system : a survey of innate and acquired immune genes / Leslie A Knapp and Nicole S. Torosin -- Genetics, evolutionary medicine and the evolution of human pathogens / Amanda VanSteelandt and Anne C. Stone. |
Record Nr. | UNINA-9910541902603321 |
Hoboken, New Jersey ; ; Oxford, England : , : Wiley Blackwell, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computational intelligence in bioinformatics / edited by Gary B. Fogel, David W. Corne and Yi Pan |
Pubbl/distr/stampa | [Hoboken, New Jersey] : , : Wiley-IEEE, 2007 |
Descrizione fisica | 1 online resource (377 p.) |
Disciplina |
572.028563
572.80285 |
Altri autori (Persone) |
CorneDavid
PanYi FogelGary <1968-> |
Collana | IEEE press series on computational intelligence |
Soggetto topico |
Bioinformática
Inteligencia computacional |
Soggetto genere / forma | Libros electrónicos |
Soggetto non controllato | Informática general |
ISBN |
0-470-65215-2
1-281-22169-4 9786611221690 0-470-19909-1 0-470-19908-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface -- Contributors -- Part One Gene Expression Analysis and Systems Biology -- 1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II) -- 1.1 Introduction -- 1.2 Methods and Systems -- 1.3 Experimental Results -- 1.4 Conclusions -- 2. Classifying Gene Expression Profi les with Evolutionary Computation (Jin-Hyuk Hong and Sung-Bae Cho) -- 2.1 DNA Microarray Data Classifi cation -- 2.2 Evolutionary Approach to the Problem -- 2.3 Gene Selection with Speciated Genetic Algorithm -- 2.4 Cancer Classifi ction Based on Ensemble Genetic Programming -- 2.5 Conclusion -- 3. Finding Clusters in Gene Expression Data Using EvoCluster (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao) -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Evolutionary Clustering Algorithm -- 3.4 Experimental Results -- 3.5 Conclusions -- 4. Gene Networks and Evolutionary Computation (Jennifer Hallinan) -- 4.1 Introduction -- 4.2 Evolutionary Optimization -- 4.3 Computational Network Modeling -- 4.4 Extending Reach of Gene Networks -- 4.5 Network Topology Analysis -- 4.6 Summary -- Part Two Sequence Analysis and Feature Detection -- 5. Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data (Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman) -- 5.1 Introduction -- 5.2 Traditional Algorithms for Gene Selection -- 5.3 New Fuzzy-Granular-Based Algorithm for Gene Selection -- 5.4 Simulation -- 5.5 Conclusions -- 6. Evolutionary Feature Selection for Bioinformatics (Laetitia Jourdan, Clarisse Dhaenens, and El-Ghazali Talbi) -- 6.1 Introduction -- 6.2 Evolutionary Algorithms for Feature Selection -- 6.3 Feature Selection for Clustering in Bioinformatics -- 6.4 Feature Selection for Classifi cation in Bioinformatics -- 6.5 Frameworks and Data Sets -- 6.6 Conclusion -- 7. Fuzzy Approaches for the Analysis CpG Island Methylation Patterns (Ozy Sjahputera, Mihail Popescu, James M. Keller, and Charles W. Caldwell).
7.1 Introduction -- 7.2 Methods -- 7.3 Biological Signifi cance -- 7.4 Conclusions -- Part Three Molecular Structure and Phylogenetics -- 8. Protein-Ligand Docking with Evolutionary Algorithms(Rene Thomsen) -- 8.1 Introduction -- 8.2 Biochemical Background -- 8.3 The Docking Problem -- 8.4 Protein-Ligand Docking Algorithms -- 8.5 Evolutionary Algorithms -- 8.6 Effect of Variation Operators -- 8.7 Differential Evolution -- 8.8 Evaluating Docking Methods -- 8.9 Comparison between Docking Methods -- 8.10 Summary -- 8.11 Future Research Topics -- 9. RNA Secondary Structure Prediction Employing Evolutionary Algorithms (Kay C. Wiese, Alain A. Deschanes, and Andrew G. Hendriks) -- 9.1 Introduction -- 9.2 Thermodynamic Models -- 9.3 Methods -- 9.4 Results -- 9.5 Conclusion -- 10. Machine Learning Approach for Prediction of Human Mitochondrial Proteins (Zhong Huang, Xuheng Xu, and Xiaohua Hu) -- 10.1 Introduction -- 10.2 Methods and Systems -- 10.3 Results and Discussion -- 10.4 Conclusions -- 11. Phylogenetic Inference Using Evolutionary Algorithms(Clare Bates Congdon) -- 11.1 Introduction -- 11.2 Background in Phylogenetics -- 11.3 Challenges and Opportunities for Evolutionary Computation -- 11.4 One Contribution of Evolutionary Computation: Graphyl -- 11.5 Some Other Contributions of Evolutionary computation -- 11.6 Open Questions and Opportunities -- Part Four Medicine -- 12. Evolutionary Algorithms for Cancer Chemotherapy Optimization (John McCall, Andrei Petrovski, and Siddhartha Shakya) -- 12.1 Introduction -- 12.2 Nature of Cancer -- 12.3 Nature of Chemotherapy -- 12.4 Models of Tumor Growth and Response -- 12.5 Constraints on Chemotherapy -- 12.6 Optimal Control Formulations of Cancer Chemotherapy -- 12.7 Evolutionary Algorithms for Cancer Chemotherapy Optimization -- 12.8 Encoding and Evaluation -- 12.9 Applications of EAs to Chemotherapy Optimization Problems -- 12.10 Related Work -- 12.11 Oncology Workbench -- 12.12 Conclusion -- 13. Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts (Lipika Dey and Muhammad Abulaish). 13.1 Introduction -- 13.2 Brief Introduction to Ontologies -- 13.3 Information Retrieval form Biological Text Documents: Related Work -- 13.4 Ontology-Based IE and Knowledge Enhancement System -- 13.5 Document Processor -- 13.6 Biological Relation Extractor -- 13.7 Relation-Based Query Answering -- 13.8 Evaluation of the Biological Relation Extraction Process -- 13.9 Biological Relation Characterizer -- 13.10 Determining Strengths of Generic Biological Relations -- 13.11 Enhancing GENIA to Fuzzy Relational Ontology -- 13.12 Conclusions and Future Work -- References -- Appendix Feasible Biological Relations -- Index. |
Record Nr. | UNINA-9910144575003321 |
[Hoboken, New Jersey] : , : Wiley-IEEE, 2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Computational intelligence in bioinformatics / edited by Gary B. Fogel, David W. Corne and Yi Pan |
Pubbl/distr/stampa | [Hoboken, New Jersey] : , : Wiley-IEEE, 2007 |
Descrizione fisica | 1 online resource (377 p.) |
Disciplina |
572.028563
572.80285 |
Altri autori (Persone) |
CorneDavid
PanYi FogelGary <1968-> |
Collana | IEEE press series on computational intelligence |
Soggetto topico |
Bioinformática
Inteligencia computacional |
Soggetto genere / forma | Libros electrónicos |
Soggetto non controllato | Informática general |
ISBN |
0-470-65215-2
1-281-22169-4 9786611221690 0-470-19909-1 0-470-19908-3 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Preface -- Contributors -- Part One Gene Expression Analysis and Systems Biology -- 1. Hybrid of Neural Classifi er and Swarm Intelligence in Multiclass Cancer Diagnosis with Gene Expression Signatures (Rui Xu, Georgios C. Anagnostopoulos, and Donald C. Wunsch II) -- 1.1 Introduction -- 1.2 Methods and Systems -- 1.3 Experimental Results -- 1.4 Conclusions -- 2. Classifying Gene Expression Profi les with Evolutionary Computation (Jin-Hyuk Hong and Sung-Bae Cho) -- 2.1 DNA Microarray Data Classifi cation -- 2.2 Evolutionary Approach to the Problem -- 2.3 Gene Selection with Speciated Genetic Algorithm -- 2.4 Cancer Classifi ction Based on Ensemble Genetic Programming -- 2.5 Conclusion -- 3. Finding Clusters in Gene Expression Data Using EvoCluster (Patrick C. H. Ma, Keith C. C. Chan, and Xin Yao) -- 3.1 Introduction -- 3.2 Related Work -- 3.3 Evolutionary Clustering Algorithm -- 3.4 Experimental Results -- 3.5 Conclusions -- 4. Gene Networks and Evolutionary Computation (Jennifer Hallinan) -- 4.1 Introduction -- 4.2 Evolutionary Optimization -- 4.3 Computational Network Modeling -- 4.4 Extending Reach of Gene Networks -- 4.5 Network Topology Analysis -- 4.6 Summary -- Part Two Sequence Analysis and Feature Detection -- 5. Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data (Yuanchen He, Yuchun Tang, Yan-Qing Zhang, and Rajshekhar Sunderraman) -- 5.1 Introduction -- 5.2 Traditional Algorithms for Gene Selection -- 5.3 New Fuzzy-Granular-Based Algorithm for Gene Selection -- 5.4 Simulation -- 5.5 Conclusions -- 6. Evolutionary Feature Selection for Bioinformatics (Laetitia Jourdan, Clarisse Dhaenens, and El-Ghazali Talbi) -- 6.1 Introduction -- 6.2 Evolutionary Algorithms for Feature Selection -- 6.3 Feature Selection for Clustering in Bioinformatics -- 6.4 Feature Selection for Classifi cation in Bioinformatics -- 6.5 Frameworks and Data Sets -- 6.6 Conclusion -- 7. Fuzzy Approaches for the Analysis CpG Island Methylation Patterns (Ozy Sjahputera, Mihail Popescu, James M. Keller, and Charles W. Caldwell).
7.1 Introduction -- 7.2 Methods -- 7.3 Biological Signifi cance -- 7.4 Conclusions -- Part Three Molecular Structure and Phylogenetics -- 8. Protein-Ligand Docking with Evolutionary Algorithms(Rene Thomsen) -- 8.1 Introduction -- 8.2 Biochemical Background -- 8.3 The Docking Problem -- 8.4 Protein-Ligand Docking Algorithms -- 8.5 Evolutionary Algorithms -- 8.6 Effect of Variation Operators -- 8.7 Differential Evolution -- 8.8 Evaluating Docking Methods -- 8.9 Comparison between Docking Methods -- 8.10 Summary -- 8.11 Future Research Topics -- 9. RNA Secondary Structure Prediction Employing Evolutionary Algorithms (Kay C. Wiese, Alain A. Deschanes, and Andrew G. Hendriks) -- 9.1 Introduction -- 9.2 Thermodynamic Models -- 9.3 Methods -- 9.4 Results -- 9.5 Conclusion -- 10. Machine Learning Approach for Prediction of Human Mitochondrial Proteins (Zhong Huang, Xuheng Xu, and Xiaohua Hu) -- 10.1 Introduction -- 10.2 Methods and Systems -- 10.3 Results and Discussion -- 10.4 Conclusions -- 11. Phylogenetic Inference Using Evolutionary Algorithms(Clare Bates Congdon) -- 11.1 Introduction -- 11.2 Background in Phylogenetics -- 11.3 Challenges and Opportunities for Evolutionary Computation -- 11.4 One Contribution of Evolutionary Computation: Graphyl -- 11.5 Some Other Contributions of Evolutionary computation -- 11.6 Open Questions and Opportunities -- Part Four Medicine -- 12. Evolutionary Algorithms for Cancer Chemotherapy Optimization (John McCall, Andrei Petrovski, and Siddhartha Shakya) -- 12.1 Introduction -- 12.2 Nature of Cancer -- 12.3 Nature of Chemotherapy -- 12.4 Models of Tumor Growth and Response -- 12.5 Constraints on Chemotherapy -- 12.6 Optimal Control Formulations of Cancer Chemotherapy -- 12.7 Evolutionary Algorithms for Cancer Chemotherapy Optimization -- 12.8 Encoding and Evaluation -- 12.9 Applications of EAs to Chemotherapy Optimization Problems -- 12.10 Related Work -- 12.11 Oncology Workbench -- 12.12 Conclusion -- 13. Fuzzy Ontology-Based Text Mining System for Knowledge Acquisition, Ontology Enhancement, and Query Answering from Biomedical Texts (Lipika Dey and Muhammad Abulaish). 13.1 Introduction -- 13.2 Brief Introduction to Ontologies -- 13.3 Information Retrieval form Biological Text Documents: Related Work -- 13.4 Ontology-Based IE and Knowledge Enhancement System -- 13.5 Document Processor -- 13.6 Biological Relation Extractor -- 13.7 Relation-Based Query Answering -- 13.8 Evaluation of the Biological Relation Extraction Process -- 13.9 Biological Relation Characterizer -- 13.10 Determining Strengths of Generic Biological Relations -- 13.11 Enhancing GENIA to Fuzzy Relational Ontology -- 13.12 Conclusions and Future Work -- References -- Appendix Feasible Biological Relations -- Index. |
Record Nr. | UNINA-9910829979903321 |
[Hoboken, New Jersey] : , : Wiley-IEEE, 2007 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
A concise introduction to statistical inference / Jacco Thijssen, The University of York, UK |
Autore | Thijssen Jacco J. J |
Pubbl/distr/stampa | Boca Raton, : CRC Press, [2014] |
Descrizione fisica | 1 recurso en línea (231 p.) : ilustraciones |
Soggetto topico |
Estadística
Probabilidades |
Soggetto genere / forma | Libros electrónicos |
Soggetto non controllato | Estadística |
ISBN |
1-4987-5580-1
1-315-38023-4 1-4987-5578-X |
Classificazione | B0240 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1. Statistical inference -- 2. Theory and calculus of probability -- 3. From probability to statistics -- 4. Statistical inference for the mean based on a large sample -- 5. Statistical models and sampling distributions -- 6. Estimation of parameters -- 7. Confidence intervals -- 8. Hypothesis testing -- 9. Linear regression -- 10. Bayesian inference. |
Record Nr. | UNINA-9910153185103321 |
Thijssen Jacco J. J | ||
Boca Raton, : CRC Press, [2014] | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|