This book focuses on the progress of G20 members on entrepreneurship services since the G20 Entrepreneurship Action Plan was issued at the G20 Hangzhou Summit in China. The authors analyse the similarities and differences of policy measures taken by G20 members from five aspects of entrepreneurship services: government services, fiscal and financial supports, entrepreneur services, entrepreneurship education, and fair competition for SMEs. The book aims to bridge academic research with the multilevel and diverse practice in entrepreneurial activities and explores how national policies and conditions can promote entrepreneurship among G20 members. This book will inspire the policy- makers, stakeholders in the entrepreneurship ecosystems and scholars on entrepreneurship research as well, on how to promote the entrepreneurship as an effective way to stimulate employment growth, boost innovation development, and realize economic recovery in the post- COVID-19 era.
This book focuses on the progress of G20 members on entrepreneurship services since the G20 Entrepreneurship Action Plan was issued at the G20 Hangzhou Summit in China. The authors analyse the similarities and differences of policy measures taken by G20 members from five aspects of entrepreneurship services: government services, fiscal and financial supports, entrepreneur services, entrepreneurship education, and fair competition for SMEs. The book aims to bridge academic research with the multilevel and diverse practice in entrepreneurial activities and explores how national policies and conditions can promote entrepreneurship among G20 members. This book will inspire the policy- makers, stakeholders in the entrepreneurship ecosystems and scholars on entrepreneurship research as well, on how to promote the entrepreneurship as an effective way to stimulate employment growth, boost innovation development, and realize economic recovery in the post- COVID-19 era.
This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.
Bayesian adaptive designs provide a critical approach to improve the efficiency and success of drug development that has been embraced by the US Food and Drug Administration (FDA). This is particularly important for early phase trials as they form the basis for the development and success of subsequent phase II and III trials. The objective of this book is to describe the state-of-the-art model-assisted designs to facilitate and accelerate the use of novel adaptive designs for early phase clinical trials. Model-assisted designs possess avant-garde features where superiority meets simplicity. Model-assisted designs enjoy exceptional performance comparable to more complicated model-based adaptive designs, yet their decision rules often can be pre-tabulated and included in the protocol—making implementation as simple as conventional algorithm-based designs. An example is the Bayesian optimal interval (BOIN) design, the first dose-finding design to receive the fit-for-purpose designation from the FDA. This designation underscores the regulatory agency's support of the use of the novel adaptive design to improve drug development. Features Represents the first book to provide comprehensive coverage of model-assisted designs for various types of dose-finding and optimization clinical trials Describes the up-to-date theory and practice for model-assisted designs Presents many practical challenges, issues, and solutions arising from early-phase clinical trials Illustrates with many real trial applications Offers numerous tips and guidance on designing dose finding and optimization trials Provides step-by-step illustrations of using software to design trials Develops a companion website (www.trialdesign.org) to provide freely available, easy-to-use software to assist learning and implementing model-assisted designs Written by internationally recognized research leaders who pioneered model-assisted designs from the University of Texas MD Anderson Cancer Center, this book shows how model-assisted designs can greatly improve the efficiency and simplify the design, conduct, and optimization of early-phase dose-finding trials. It should therefore be a very useful practical reference for biostatisticians, clinicians working in clinical trials, and drug regulatory professionals, as well as graduate students of biostatistics. Novel model-assisted designs showcase the new KISS principle: Keep it simple and smart!
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