The development of innovative drugs is becoming more difficult while relying on empirical approaches. This inspired all major pharmaceutical companies to pursue alternative model-based paradigms. The key question is: How to find innovative compounds and, subsequently, appropriate dosage regimens?
Written from the industry perspective and based on many years of experience, this book offers:
- Concepts for creation of drug-disease models, introduced and supplemented with extensive MATLAB programs
- Guidance for exploration and modification of these programs to enhance the understanding of key principles
- Usage of differential equations to pharmacokinetic, pharmacodynamic and (patho-) physiologic problems thereby acknowledging their dynamic nature
- A range of topics from single exponential decay to adaptive dosing, from single subject exploration to clinical trial simulation, and from empirical to mechanistic disease modeling.
Students with an undergraduate mathematical background or equivalent education, interest in life sciences and skills in a high-level programming language such as MATLAB, are encouraged to engage in model-based pharmaceutical research and development.
Multiscale modeling is becoming essential for accurate, rapid simulation in science and engineering. This book presents the results of three decades of research on multiscale modeling in process engineering from principles to application, and its generalization for different fields. This book considers the universality of meso-scale phenomena for the first time, and provides insight into the emerging discipline that unifies them, meso-science, as well as new perspectives for virtual process engineering.
Multiscale modeling is applied in areas including:
Jinghai Li is Vice-President of the Chinese Academy of Sciences (CAS), a professor at the Institute of Process Engineering, CAS, and leader of the EMMS (Energy-minimizing multiscale) Group.
Wei Ge, Wei Wang, Ning Yang and Junwu Wang are professors at the EMMS Group, part of the Institute of Process Engineering, CAS.
Xinhua Liu, Limin Wang, Xianfeng He and Xiaowei Wang are associate professors at the EMMS Group, part of the Institute of Process Engineering, CAS.
Mooson Kwauk is an emeritus director of the Institute of Process Engineering, CAS, and is an advisor to the EMMS Group.
The use of simulation modeling and analysis is becoming increasingly more popular as a technique for improving or investigating process performance. This book is a practical, easy-to-follow reference that offers up-to-date information and step-by-step procedures for conducting simulation studies. It provides sample simulation project support material, including checklists, data-collection forms, and sample simulation project reports and publications to facilitate practitioners' efforts in conducting simulation modeling and analysis projects.
What is success at work and why is it important? How do top workers describe their success? How can work, community, leadership, family, or home and school promote success?
Success at work is often associated with career-oriented individuals who sacrifice other areas of life to achieve highly in the workplace, but success can also be defined in other ways. It can consist of feelings of knowledge, competence and accomplishment, stemming from an inner drive to work well and create an expression of mastery. This book focuses on employees who have been rewarded for their skills and expertise.
Based on the authors' in-depth research into the phenomenon of success at work, this book provides a positive human-strength based approach to success and offers a fresh viewpoint to the modern, demanding and hectic work life. Drawing from the theory of positive psychology and outlining new theoretical ideas including work motivation, career orientation, work characteristics, and positive states of work, success is described as a combination of multiple elements which include other areas of life. The book is illustrated throughout with case studies from employees, and it will ignite thoughts about what success at work is and can be, and how to recognize factors which enhance or hinder success in varying contexts.
Considering a variety of data, this book will appeal to researchers and academics from the fields of work and organisational psychology, positive psychology, career counselling and coaching.
The purpose of this book is to provide readers with an introduction to the very active field of integer programming and network models. The idea is to cover the main parts of the field without being too detailed or too technical. As a matter of fact, we found it somewhat surprising that most--especially newer---books are strongly algorithmically oriented. In contrast, the main emphasis of this book is on models rather than methods. This focus expresses our view that methods are tools to solve actual problems and not ends in themselves. As such, graduate (and with some omissions, undergraduate) students may find this book helpful in their studies as will practitioners who would like to get acquainted with a field or use this text as a refresher. This premise has resulted in a coverage that omits material that is standard fare in other books, whereas it covers topics that are only infrequently found elsewhere. There are some, yet relatively few, prerequisites for the reader. Most material that is required for the understanding of more than one chapter is presented in one of the four chapters of the introductory part, which reviews the main results in linear programming, the analysis of algorithms, graphs and networks, and dynamic programming, respectively. Readers who are familiar with the issues involved can safely skip that part. The three main parts of the book rely on intuitive reasoning and examples, whenever practical, instead of theorems and proofs.
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