In this book, physics in its many aspects (thermodynamics, mechanics, electricity, fluid dynamics) is the guiding light on a fascinating journey through biological systems, providing ideas, examples and stimulating reflections for undergraduate physics, chemistry and life-science students, as well as for anyone interested in the frontiers between physics and biology. Rather than introducing a lot of new information, it encourages young students to use their recently acquired knowledge to start seeing the physics behind the biology. As an undergraduate textbook in introductory biophysics, it includes the necessary background and tools, including exercises and appendices, to form a progressive course. In this case, the chapters can be used in the order proposed, possibly split between two semesters. The book is also an absorbing read for researchers in the life sciences who wish to refresh or go deeper into the physics concepts gleaned in their early years of scientific training. Less physics-oriented readers might want to skip the first chapter, as well as all the "gray boxes" containing the more formal developments, and create their own á-la-carte menu of chapters.

The use of innovative new materials is an important trend in landscape architecture today. These materials include biodegradable geotextiles, super-absorbent polymers, and plants that react to changing soil conditions. This book presents the available materials and technologies in the context of practical applications.

The informational nature of biological organization, at levels from the genetic and epigenetic to the cognitive and linguistic. Information shapes biological organization in fundamental ways and at every organizational level. Because organisms use information--including DNA codes, gene expression, and chemical signaling--to construct, maintain, repair, and replicate themselves, it would seem only natural to use information-related ideas in our attempts to understand the general nature of living systems, the causality by which they operate, the difference between living and inanimate matter, and the emergence, in some biological species, of cognition, emotion, and language. And yet philosophers and scientists have been slow to do so. This volume fills that gap. Information and Living Systems offers a collection of original chapters in which scientists and philosophers discuss the informational nature of biological organization at levels ranging from the genetic to the cognitive and linguistic. The chapters examine not only familiar information-related ideas intrinsic to the biological sciences but also broader information-theoretic perspectives used to interpret their significance. The contributors represent a range of disciplines, including anthropology, biology, chemistry, cognitive science, information theory, philosophy, psychology, and systems theory, thus demonstrating the deeply interdisciplinary nature of the volume's bioinformational theme.

Gregory Bateson’s contribution to 20th century thinking has appealed to scholars from a wide range of fields dealing in one way or another with aspects of communication and epistemology. A number of his insights were taken up and developed further in anthropology, psychology, evolutionary biology and communication theory. But the large, trans-disciplinary synthesis that, in his own mind, was his major contribution to science received little attention from the mainstream scientific communities. This book represents a major attempt to revise this deficiency. Scholars from ecology, biochemistry, evolutionary biology, cognitive science, anthropology and philosophy discuss how Bateson's thinking might lead to a fruitful reframing of central problems in modern science. Most important perhaps, Bateson's bioanthropology is shown to play a key role in developing the set of ideas explored in the new field of biosemiotics. The idea that organismic life is indeed basically semiotic or communicative lies at the heart of the biosemiotic approach to the study of life. The only book of its kind, this volume provides a key resource for the quickly-growing substratum of scholars in the biosciences, philosophy and medicine who are seeking an elegant new approach to exploring highly complex systems.

Written for intermediate-level undergraduates pursuing any science or engineering major, Physical Models of Living Systems helps students develop many of the competencies that form the basis of the new MCAT2015. The only prerequisite is first-year physics. With the more advanced "Track-2" sections at the end of each chapter, the book can be used in graduate-level courses as well.

All living things are remarkably complex, yet their DNA is unstable, undergoing countless random mutations over generations. Despite this instability, most animals do not grow two heads or die, plants continue to thrive, and bacteria continue to divide. Robustness and Evolvability in Living Systems tackles this perplexing paradox. The book explores why genetic changes do not cause organisms to fail catastrophically and how evolution shapes organisms' robustness. Andreas Wagner looks at this problem from the ground up, starting with the alphabet of DNA, the genetic code, RNA, and protein molecules, moving on to genetic networks and embryonic development, and working his way up to whole organisms. He then develops an evolutionary explanation for robustness. Wagner shows how evolution by natural selection preferentially finds and favors robust solutions to the problems organisms face in surviving and reproducing. Such robustness, he argues, also enhances the potential for future evolutionary innovation. Wagner also argues that robustness has less to do with organisms having plenty of spare parts (the redundancy theory that has been popular) and more to do with the reality that mutations can change organisms in ways that do not substantively affect their fitness. Unparalleled in its field, this book offers the most detailed analysis available of all facets of robustness within organisms. It will appeal not only to biologists but also to engineers interested in the design of robust systems and to social scientists concerned with robustness in human communities and populations.