Description : Annelids offer a diversity of experimentally accessible features making them a rich experimental subject across the biological sciences, including evolutionary development, neurosciences and stem cell research. This volume introduces the Annelids and their utility in evolutionary developmental biology, neurobiology, and environmental/ecological studies, including extreme environments. The book demonstrates the variety of fields in which Annelids are already proving to be a useful experimental system. Describing the utility of Annelids as a research model, this book is an invaluable resource for all researchers in the field.
Description : By asking how well theological views of human nature stand up to the discoveries of modern science, Alan Olding re-opens the question of whether the "design" argument for the existence of God is fatally undermined. A distinctive feature of the work is its emphasis on the metaphysical implications of biology and how these at times conflict with other, more plausible metaphysical positions. Another is its close critical examination of the "design" argument and of the relation God has to the world he creates. "Modern Biology and Natural Theology" takes up issues currently of concern to many thinkers and will provide fascinating reading for anyone interested in philosophical problems, particularly the impact of Darwinism on natural theology.
Description : Mathematical Concepts and Methods in Modern Biology offers a quantitative framework for analyzing, predicting, and modulating the behavior of complex biological systems. The book presents important mathematical concepts, methods and tools in the context of essential questions raised in modern biology. Designed around the principles of project-based learning and problem-solving, the book considers biological topics such as neuronal networks, plant population growth, metabolic pathways, and phylogenetic tree reconstruction. The mathematical modeling tools brought to bear on these topics include Boolean and ordinary differential equations, projection matrices, agent-based modeling and several algebraic approaches. Heavy computation in some of the examples is eased by the use of freely available open-source software. Features self-contained chapters with real biological research examples using freely available computational tools Spans several mathematical techniques at basic to advanced levels Offers broad perspective on the uses of algebraic geometry/polynomial algebra in molecular systems biology