Maryland Corporation Law is the only current treatise covering all aspects of Maryland corporation law and practice, providing authoritative guidance to the statutes, legislative history, and relevant cases, and is frequently cited by judges and lawyers as the authoritative source in the field. More New York Stock Exchange-listed companies are formed under Maryland law than any state except Delaware. This authoritative volume gives subscribers a thorough background to the Maryland General Corporation Law (The 'MGCL'), including: formation of a corporation; the conduct of a corporation's internal affairs; liability and protection of directors and officers;voting and other rights of stockholders; mergers; charter amendments; and dissolution of a corporation. Maryland Corporation Law also discusses derivative actions, corporate opportunity, successor liability and takeover defenses. In addition, there is a separate chapter devoted exclusively to Maryland real estate investment trusts. Maryland Corporation Law also provides the complete up-to-date text of the MGCL and related statutes, and includes a forms section, prepared by the author, containing many Maryland specific forms. Recent additions include topics such as: Corporations - Distributions, Mergers, Appraisal Rights and Articles Supplementary Investment Companies - Series Funds, Transfer of Assets Directors and Stockholders - Meetings, Notices, and Consents A newly added chapter on Maryland business trusts Recent cases decided by the Court of Special Appeals of Maryland, the United States Court of Appeals for the Fourth Circuit and the United States District Court for the District of Maryland Note: Online subscriptions are for three-month periods.
Mammalogy is the study of mammals from the diverse biological viewpoints of structure, function, evolutionary history, behavior, ecology, classification, and economics. Newly revised and updated, the fifth edition of Mammalogy aims to explain and clarify the subject as a unified whole. In recent years we have witnessed significant changes in the taxonomy of mammals. The authors have kept pace with such changes in the field and have revised each chapter to reflect the most current data available. New pedagogical elements, including chapter outlines and further reading sections, help readers grasp key concepts and explore additional content on their own. Two new chapters on domestication and mammal diseases are available on the Mammalogy website.
This new book is the first to make logical and important connections between trapping and foraging ecology. It develops and describes—both verbally and mathematically--the underlying principles that determine and define trap-organism interactions. More important, it goes on to explain and illustrate how these principles and relationships can be used to estimate absolute population densities in the landscape and to address an array of important problems relating to the use of trapping for detection, population estimation, and suppression in both research and applied contexts. The breakthrough nature of subject matter described has broad fundamental and applied implications for research for addressing important real-world problems in agriculture, ecology, public health and conservation biology. Monitoring traps baited with potent attractants of animals like insects have long played a critical role in revealing what pests are present and when they are active. However, pest managers have been laboring without the tools necessary for quick and inexpensive determination of absolute pest density, which is the cornerstone of pest management decisions. This book spans the gamut from highly theoretical and fundamental research to very practical applications that will be widely useful across all of agriculture.
This book takes an empirical approach to language processing, based on applying statistical and other machine-learning algorithms to large corpora. Methodology boxes are included in each chapter. Each chapter is built around one or more worked examples to demonstrate the main idea of the chapter. Covers the fundamental algorithms of various fields, whether originally proposed for spoken or written language to demonstrate how the same algorithm can be used for speech recognition and word-sense disambiguation. Emphasis on web and other practical applications. Emphasis on scientific evaluation. Useful as a reference for professionals in any of the areas of speech and language processing.
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