1.

Record Nr.

UNINA9910555285703321

Autore

Szoniecky Samuel

Titolo

Ecosystems Knowledge : Modeling and Analysis Method for Information and Communication / / Samuel Szoniecky

Pubbl/distr/stampa

Hoboken, New Jersey : , : John Wiley and Sons, Inc. : , : Wiley-ISTE, , 2018

[Piscataqay, New Jersey] : , : IEEE Xplore, , [2018]

ISBN

1-119-38878-3

1-119-38879-1

1-119-38877-5

Edizione

[1st edition]

Descrizione fisica

1 online resource (203 pages)

Collana

Computer engineering series. Digital tools and uses set ; ; vol. 6

Disciplina

333.72

Soggetti

Ecosystem services

Biotic communities

Ontology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Intro; Table of Contents; Introduction; 1 Use of the Ecosystem Concept on the Web; 1.1 -- For marketing; 1.2 -- For personal data; 1.3 -- For services and applications; 1.4 -- For dynamic interactivity; 1.5 -- For pictorial analogies; 1.6 -- For the information and communication sciences; 2 Ecosystem Modeling: A Generic Method of Analysis; 2.1 -- Hypertextual gardening fertilized by the chaos of John Cage; 2.2 -- An entrepreneurial experience; 2.3 -- The maturation of a research project; 3 Fundamental Principles for Modeling an Existence; 3.1 -- Key concepts for thinking about knowledge ecosystems.

3.2 -- Spinozist principles for an ethical ontology3.3 -- Semantic knowledge management; 4 Graphical Specifications for Modeling Existences; 4.1 -- Principles of graphical modeling; 4.2 -- Semantic maps; 4.3 -- Graphical modeling rules; 5 Web Platform Specifications for Knowledge Ecosystems; 5.1 -- The generic management of resources; 5.2 -- Principles for developing a Web ecosystem platform; Conclusion; C.1 -- Experiments: digital humanities and e-Education; C.2 -- Theoretical fields to whet the appetite; C.3 -- Scientific practices



between calculable facts and sensible intuition; Appendix.

A.1 -- Project planning the new platformBibliography; Index; End User License Agreement.

Sommario/riassunto

To analyze complex situations we use everyday analogies that allow us to invest in an unknown domain knowledge we have acquired in a known field. In this work the author proposes a modeling and analysis method that uses the analogy of the ecosystem to embrace the complexity of an area of knowledge. After a history of the ecosystem concept and these derivatives (nature, ecology, environment) from antiquity to the present, the analysis method based on the modeling of socio-semantic ontologies is presented, followed by practical examples of this approach in the areas of software development, digital humanities, Big Data, and more generally in the area of complex analysis. '

2.

Record Nr.

UNINA9910792476203321

Autore

Peter Isabelle S.

Titolo

Genomic control process : development and evolution / / Isabelle S. Peter, Eric H. Davidson

Pubbl/distr/stampa

London, England : , : Elsevier : , : AP, , 2015

©2015

ISBN

0-12-404746-7

Descrizione fisica

1 online resource (461 p.)

Disciplina

572.86

Soggetti

Genomics

Genes

Embryology

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"Academic Press is an imprint of Elsevier"--T.p.

Nota di bibliografia

Includes bibliographical references at the end of each chapters and index.

Nota di contenuto

Front Cover; IFC; GENOMIC CONTROL PROCESS; Copyright; About the Authors; Contents; Preface; Dedications; Chapter 1 - The Genome in Development; 1. Views of Development; 2. Levels of Control of Gene



Expression: Transcriptional Regulation; 3. Levels of Control of Gene Expression: Noncoding RNAs; 4. Levels of Control of Gene Expression: Histone Modifications; 5. The Regulatory Genome; REFERENCES; Chapter 2 - Gene Regulatory Networks; 1. Introductory Overview of Developmental GRNs; 2. Boolean Spatial Output; 3. Regulatory States; 4. Regulation in Cis; 5. Module Choice; 6. Transcriptional Dynamics

7. Historical Origins and Antecedents of GRN TheoryREFERENCES; Chapter 3 - Genomic Strategies for Embryonic Development; 1. Common Principles of Embryonic Development; 2. Phylogenetic Framework; 3. Genomic Strategies of Control in Mode 1 Embryonic Processes; 4. Genomic Strategies of Control in Mode 2 Embryonic Processes; 5. Global Aspects of A/P Spatial Regulatory Patterning in the Syncytial Drosophila Blastoderm; REFERENCES; Chapter 4 - Genomic Control Processes in Adult Body Part Formation; 1. Common Principles of Body Part Formation; 2. Limbs in Amniotes; 3. Fly Legs

4. Establishment of Spatial Regulatory States in Early Development of Fly and Mammalian Brains5. The Vertebrate Heart; 6. Spatial Regulatory State Subdivision in and Around the Drosophila Ocellus; 7. The Vertebrate Gut; Chapter 5 - Genomic Strategies for Terminal Cell Fate Specification; 1. Circumstances of Terminal Cell Fate Specification; 2. Combinatorial Cis-Regulatory Definition of Differentiation Gene Batteries; 3. Cell Type Specification in Multipotential Embryonic Precursors; 4. A Comment on Stem Cells in Postembryonic Life

5. Modular Call-Up of Given Specification Processes in Multiple Developmental ContextsREFERENCES; Chapter 6 - On the Modeling of Developmental Gene Regulatory Networks; 1. Topological Network Models; 2. ODE Models of Circuit Dynamics; 3. Boolean Models of Network Logic; 4. Conclusions; REFERENCES; Chapter 7 - Evolution of Bilaterian Animals: Processes of Change and Stasis in Hierarchical Developmental Gene Regulatory Networks; 1. Introduction: Evolution by Genomic Change at Different Levels of GRN Hierarchy; 2. Evolution of the Body Plan by Co-Optive Alteration of GRN Structure

3. GRN Stasis and Phylogeny4. Trans-Phyletic Conservation of Cell Type-Specific Regulatory States; 5. Bilaterian Evolution; REFERENCES; Gene Index; Subject Index

Sommario/riassunto

Genomic Control Process explores the biological phenomena around genomic regulatory systems that control and shape animal development processes, and which determine the nature of evolutionary processes that affect body plan. Unifying and simplifying the descriptions of development and evolution by focusing on the causality in these processes, it provides a comprehensive method of considering genomic control across diverse biological processes.    This book is essential for graduate researchers in genomics, systems biology and molecular biology seeking to understand deep biological processes w