In this concise yet comprehensive Open Access textbook, future inventors are introduced to the key concepts of Cyber-Physical Systems (CPS). Using modeling as a way to develop deeper understanding of the computational and physical components of these…
This open access book demonstrates all the steps required to design heuristic algorithms for difficult optimization. The classic problem of the travelling salesman is used as a common thread to illustrate all the techniques discussed. This problem is…
Fighting Nature is an insightful analysis of the historical legacy of 19th century colonialism, war, animal acquisition and transportation. This legacy of entrenched beliefs about the human right to exploit other animal species is yet to be defeated.…
This book reignites discussion on the importance of collaboration and innovation in language education. The pivotal difference highlighted in this volume is the concept of team learning through collaborative relationships such as team teaching. It…
This open access book presents selected papers from International Symposium on Mathematics, Quantum Theory, and Cryptography (MQC), which was held on September 25-27, 2019 in Fukuoka, Japan. The international symposium MQC addresses the mathematics…
This open access book modifies and revitalizes the concept of the ‘developmental state’ to understand the politics of emerging economy through nuanced analysis on the roles of human agency in the context of structural transformation. In other words,…
The absence of vibrant bondmarkets in East Asia was a significant contributor to the 1997–98 financial crisis. Ever since, the development of local bondmarkets has been a major objective of financial reforms in many East Asian economies. This effort…
Based on the most recent clinical and epidemiologic information, one out of seven newly diagnosed epithelial malignancies worldwide result from infection and chronic inflammation in conjunction with cancer. This book draws contributions from…
The use of advanced and scalable algorithms, along with parallel programming frameworks and high-performance computers, is commonly used to solve Big Data problems and obtain valuable information and learning processes in a reasonable time. This…