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Forest Pathology and Plant Health
This book is a printed edition of the Special Issue "Forest Pathology and Plant Health" that was published in Forests
The Many Dimensions of Aging
This volume provides a broad overview of advances in the field for researchers, professionals, and graduate students."--BOOK JACKET.
Host-Pathogen Interactions
In recent decades, infectious diseases, once believed to be fairly contained, have become a vital, resurgent field of research. In Host-Pathogen Interactions: Methods and Protocols, top experts examine the relationship between the host and the pathogen, crucial in the outcome of an infection and the establishment of disease or asymptomatic, commensal colonization by organisms. The step-by-step laboratory methods and protocols of this volume study host-pathogen interaction, with a focus on fungal, bacterial and parasitic pathogens, at a molecular level in order to reveal the mechanisms of infection and to identify the vulnerabilities of the pathogen of interest. Written in the highly successful Methods in Molecular BiologyTM series format, the chapters feature brief subject introductions, lists of the necessary materials and reagents, and tips on troubleshooting and avoiding known pitfalls. Comprehensive and cutting-edge, Host-Pathogen Interactions: Methods and Protocols serves as an easy entry point for all those investigating the factors responsible for the pathogenicity of microorganisms.
Whitebark Pine Communities
Whitebark pine is a dominant feature of western high-mountain regions, offering an important source of food and high-quality habitat for species ranging from Clark's nutcracker to the grizzly bear. But in the northwestern United States and southwestern Canada, much of the whitebark pine is disappearing. Why is a high-mountain species found in places rarely disturbed by humans in trouble? And what can be done about it.Whitebark Pine Communities addresses those questions, explaining how a combination of altered fire regimes and fungal infestation is leading to a rapid decline of this once abundant -- and ecologically vital -- species. Leading experts in the field explain what is known about wh...
Conformal Prediction for Reliable Machine Learning
The conformal predictions framework is a recent development in machine learning that can associate a reliable measure of confidence with a prediction in any real-world pattern recognition application, including risk-sensitive applications such as medical diagnosis, face recognition, and financial risk prediction. Conformal Predictions for Reliable Machine Learning: Theory, Adaptations and Applications captures the basic theory of the framework, demonstrates how to apply it to real-world problems, and presents several adaptations, including active learning, change detection, and anomaly detection. As practitioners and researchers around the world apply and adapt the framework, this edited vol...
The Mountain Pine Beetle
"This book presents a synthesis of published information on mountain pine beetle (Dendroctonus ponderosae Hopkins [Coleoptera: Scolytidae]) biology and management with an emphasis on lodgepole pine (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) forests of western Canada. Intended as a reference for researchers as well as forest managers, the book covers three main subject areas: mountain pine beetle biology, management, and socioeconomic concerns. The chapters on biology cover taxonomy, life history and habits, distribution, insect-host tree interactions, development and survival, epidemiology, and outbreak history. The management section covers management strategy, survey and detection, proactive and preventive management, and decision support tools. The chapters on socioeconomic aspects include an economic examination of management programs and the utilization of post-beetle salvage timber in solid wood, panelboard, pulp and paper products."--Publisher's description.
Web Data Mining
Liu has written a comprehensive text on Web mining, which consists of two parts. The first part covers the data mining and machine learning foundations, where all the essential concepts and algorithms of data mining and machine learning are presented. The second part covers the key topics of Web mining, where Web crawling, search, social network analysis, structured data extraction, information integration, opinion mining and sentiment analysis, Web usage mining, query log mining, computational advertising, and recommender systems are all treated both in breadth and in depth. His book thus brings all the related concepts and algorithms together to form an authoritative and coherent text. The book offers a rich blend of theory and practice. It is suitable for students, researchers and practitioners interested in Web mining and data mining both as a learning text and as a reference book. Professors can readily use it for classes on data mining, Web mining, and text mining. Additional teaching materials such as lecture slides, datasets, and implemented algorithms are available online.
Encyclopedia of Machine Learning
This comprehensive encyclopedia, in A-Z format, provides easy access to relevant information for those seeking entry into any aspect within the broad field of Machine Learning. Most of the entries in this preeminent work include useful literature references.
The Revolt of the Catalans
The revolution of Catalonia in 1640 was a signal event in seventeenth-century Europe. Its causes and antecedents - essential for an understanding of the revolution itelf - form the basis of Professor Elliott's study of the Spanish monarchy at this time. They throw remarkable light on the whole question of the decline of Spain in the seventeenth century from its position of pre-eminence in Europe. From the fierce suppression of Catalan bandits by their Castilian overlords during the second decade of the century, Professor Elliott traces the gradual deterioration of relations between the principality of Catalonia and the government in Madrid. He shows how Olivares, the favourite and chief mini...
