1.

Record Nr.

UNINA9910299699303321

Autore

Ahsen Mehmet Eren

Titolo

Analysis of Deterministic Cyclic Gene Regulatory Network Models with Delays / / by Mehmet Eren Ahsen, Hitay Özbay, Silviu-Iulian Niculescu

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Birkhäuser, , 2015

ISBN

3-319-15606-3

Edizione

[1st ed. 2015.]

Descrizione fisica

1 online resource (104 p.)

Collana

SpringerBriefs in Control, Automation and Robotics, , 2192-6786

Disciplina

576.5

Soggetti

System theory

Biomathematics

Gene expression

Automatic control

Robotics

Mechatronics

Systems Theory, Control

Mathematical and Computational Biology

Gene Expression

Control, Robotics, Mechatronics

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Preface -- Introduction -- Basic Tools from Systems and Control Theory -- Functions with Negative Schwarzian Derivatives -- Deterministic ODE-Based Model with Time Delay -- Gene Regulatory Networks under Negative Feedback -- Gene Regulatory Networks under Positive Feedback -- Summary and Concluding Remarks -- References.

Sommario/riassunto

This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs



under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.

2.

Record Nr.

UNINA9910483589703321

Autore

Filgueiras Fernando

Titolo

Governance for the Digital World : Neither More State nor More Market / / by Fernando Filgueiras, Virgílio Almeida

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Palgrave Macmillan, , 2021

ISBN

9783030552480

3030552489

Edizione

[1st ed. 2021.]

Descrizione fisica

1 online resource (XIII, 117 p. 1 illus.)

Collana

Palgrave pivot

Disciplina

384.334

Soggetti

Political science

Governance and Government

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Chapter 1. Introduction -- Chapter 2. The Digital World and Governance Structures -- Chapter 3. Digital for Governance -- Chapter 4. Governance for Digital -- Chapter 5. Conclusion.

Sommario/riassunto

This book explores new frameworks, institutional arrangements, rules, and policies for governance of the digital world. As digitization rapidly intertwines the many dimensions of society, billions of people have witnessed a quiet and seamless integration of the Internet, software, platforms, algorithms, and digital devices into their daily lives, as well as into many forms of governance and decision making in the public and private sectors. The new technologies require new norms and practices to govern the digital world. This is the challenge addressed by this book: How can society create institutions that govern the digital world in a way that is beneficial to society? This book explores



answers—still initial and provocative—to this central question. The reflections presented in this book have a theoretical and conceptual nature borrowed from different fields of science to identify the main challenges for the governance of the digital world. Fernando Filgueiras isProfessor of Public Policy at the School of Public Policy and Government, Getulio Vargas Foundation (FGV), Brazil. Researcher at the National Institute of Science and Technology – Digital Democracy (INCT-DD). Virgilio Almeida is Professor Emeritus of Computer Science at Federal University of Minas Gerais (UFMG), Brazil, and Faculty Associate at Harvard University’s Berkman Klein Center for Internet and Society.