The Gene Ontology (GO) is the leading project to organize biological knowledge on genes and their products in a formal and consistent way across genomic resources. This has had a profound impact at several levels. First, such standardization has made possible the integration of multiple resources and sources of knowledge, thereby increasing their discoverability and simplifying their usage. S…
Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the …
Optimization is considered as a decision-making process for getting the most out of available resources for the best attainable results. Many real-world problems are multi-objective or multi-attribute problems that naturally involve several competing objectives that need to be optimized simultaneously, while respecting some constraints or involving selection among feasible discrete alternatives…
In this module, you will learn several basic concepts of communications systems such as major building blocks of a communication system, properties of electromagnetic (EM) waves, and frequency allocation in communication systems. You can quickly review the important terms used in this module in the glossary at the end of this module. As you work your way through the module, you’ll encounte…
Petroleum is a legislative term that includes oil, conventional gas and coal seam gas (CSG). However, the general term ‘petroleum and gas’ is often used to refer to both liquid petroleum and gaseous petroleum. The Petroleum and Gas (Production and Safety) Act 2004 and the Petroleum Act 1923 (collectively referred to here as the P&G Acts) authorise petroleum tenure holders to undertake ac…
This book offers a thorough and systematic introduction to the modified failure mode and effect analysis (FMEA) models based on uncertainty theories (e.g. fuzzy logic, intuitionistic fuzzy sets, D numbers and 2-tuple linguistic variables) and various multi-criteria decision making (MCDM) approaches such as distance-based MCDM, compromise ranking MCDM and hybrid MCDM, etc. As such, it provides e…
Economic growth across countries during the last 30 years or so has displayed 'dual' divergence between developed and developing countries, and among developing countries. The structural transformation has been either slow or of an anomalous nature. The study addresses these and suggests how they can catch-up with developed world
The greatest dilemma facing the author of a textbook on international business strategy is estimating readers' knowledge of the domain. Should the author assume that the student already comprehends such subjects as international economics, international trade, and international finance? Or should the book deal extensively with these subjects before tackling management issues? After over fif…
Research leading to the creation of this book was funded by Alberta Health Services and Alberta Human Services as part of the Collaborative Research Grant Initiative: Mental Wellness in Seniors and Persons with Disabilities and by the Athabasca University Academic Research Fund. We are grateful to these funders and to the dually diagnosed individuals and their caregivers who participated in …
This textbook connects three vibrant areas at the interface between economics and computer science: algorithmic game theory, computational social choice, and fair division. It thus offers an interdisciplinary treatment of collective decision making from an economic and computational perspective. Part I introduces to algorithmic game theory, focusing on both noncooperative and cooperative game t…