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The series, Methods in Plant Biochemistry, provides an authoritative reference on current techniques in the various fields of plant biochemical research. Each volume in the series will, under the expert guidance of a guest editor, deal with a particular group of plant compounds. Each will describe the historical background and current, most useful methods of analysis. The volumes include detailed discussions of the protocols and suitability of each technique. Case treatments, diagrams, chemical structures, reference data, and properties will be featured along with a full list of references to the specialist literature.Conceived as a practical companion to The Biochemistry of Plants, edited by P.K. Stumpf and E.E. Conn, no plant biochemical laboratory can afford to be without this comprehensive and up-to-date reference source.
Reference and compendium of algorithms for pattern recognition, data mining and statistical computing.
Arabinogalactan-proteins are distributed throughout the plant kingdom and are present in leaves, stems, roots, floral parts, and seeds. At the subcellular level, AGPs are localized on the plasma membrane, in the cell wall, in secretory and endocytotic pathway organelles, in stylar and root secretions and in the medium of cultured cells. The widespread distribution of AGPs indicates that they perform important functions. An expansion of knowledge regarding AGPs has been initiated and sustained through new experimental approaches, including the development of monoclonal antibody probes and cloning of cDNAs corresponding to core polypeptides. Regulated expression and other evidence points to the involvement of AGPs in plant reproductive development, pattern formation, and somatic embryogenesis, as well as in the processes of cell division, cell expansion, and cell death. AGPs also have an importance to industry. One example is gum arabic, an exudate from Acacia senegal, a mixture of AGPs and polysaccharides which has unique viscosity and emulsifying properties that have led to many uses in the food as well as other industries.
In Sam London’s third adventure with the Department of Mythical Wildlife, the boy who saw the gryphon will face his greatest fear. Following the heartbreaking conclusion of his second case, Sam has spent his days searching for the swan maiden. Driven by his belief the maiden is still alive, he sets out with Dr. Vance Vantana and Tashi on a forbidden quest to reunite his family. But the journey is long and treacherous and will lead them through the lair of the Mongolian Death Worm—a terrifying creature that has broken the Gryphon’s Law and is attacking anyone who dares to cross its path. And if this wasn’t enough, an old enemy from Vance’s past returns to exact a revenge that will doom all of humankind. With the future of his family and the fate of the world at stake, Sam must make an impossible choice that will change the course of his life and those he loves forever. Can Sam right a wrong or will Gaia, itself, decide to fight back?
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
In this book, we consider the problem of achieving the maximum throughput and utility in a class of networks with resource-sharing constraints. This is a classical problem of great importance. In the context of wireless networks, we first propose a fully distributed scheduling algorithm that achieves the maximum throughput. Inspired by CSMA (Carrier Sense Multiple Access), which is widely deployed in today's wireless networks, our algorithm is simple, asynchronous, and easy to implement. Second, using a novel maximal-entropy technique, we combine the CSMA scheduling algorithm with congestion control to approach the maximum utility. Also, we further show that CSMA scheduling is a modular MAC-...