Titlebook: Robotic Surgery of the Head and Neck; A Comprehensive Guid Gregory A. Grillone,Scharukh Jalisi Book 2015 Springer Science+Business Media Ne

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Jeffrey S. Jumaily M.D.,Lance Maggiacomo R.N., B.S.N.,Gregory A. Grillone M.D.in economic growth. From industrial location theory and Alfred Marshall’s concern for agglomeration to more recent research on high-tech districts and industrial clusters, firms and industries have been traditionally the dominant unit of analysis. But since the 1990s, there has been a growing focus

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Claudio Vicini M.D.,Filippo Montevecchi M.D.,Mohamed Eesa M.D.,Iacopo Dallan M.D.become increasingly paramount. Many mental health problems within the geriatric population are experienced at a higher rate than adult normative samples, including certain psychiatric and neurocognitive disorders. Among these, one of the most highly prevalent psychiatric disorders experienced in old

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Eric J. Moore M.D.izes biopsychosocial and culturally appropriate rehabilitation approaches to reduce the degree of disability and maximize independence in the activities of daily living among the burgeoning aging population. .Organized in four sections—Introduction and Overview, Major Illnesses and Problems in Aging

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Laureano A. Giraldez-Rodriguez M.D.,Brett Miles D.D.S., M.D.,Eric M. Genden M.D.nknown system dynamics. The class of systems that we consider are general discrete-time linear systems that are subject to multiple delays in both the state and the input. Both state and output feedback algorithms are presented. The central idea in the proposed scheme revolves around the state augme

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Tom Thomas M.D., M.P.H.,Donald J. Annino Jr. M.D., D.M.D.al reinforcement learning (IRL). A quadratic cost function over infinite time horizon is considered and a value function is defined by considering the delayed state. A delay algebraic Riccati equation (DARE) is obtained using the value functional and utilized along with stationarity condition to obt

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William S. Duke M.D.,David J. Terris M.D., F.A.C.S.ndustrial fields. In many cases, machine learning deals with a static dataset, e.g., a fixed training data, for its analysis, such as in recognition of hand-written digits. Yet there is also a need to apply machine learning to streams of data, i.e., online learning. One approach is that of reinforce