Medications for epilepsy are mainstays in controlling epileptic seizures. But surgical procedures are another dimension in treatment. Included in this issue will be articles such as: Laser ablation for hypothalamic hamartomas and other epileptic lesions, radiosurgery for epilepsy, minimally invasive neurosurgery using focused MRI guidance, Selective amygdalohippocampectomy, and many more!
In this issue of Neurosurgery Clinics, Drs. Chang and Barbaro provide a thorough look at epilepsy, with sections focusing on devices in epilepsy surgery, open loop systems, closed loop systems, and non-stimulation. Topics in this issue include history and overview of stimulation for epilepsy, trigeminal nerve stimulation, anterior thalamus DBS, hippocampal stimulation, neuropace RNS, seizure detection/prediction algorithms, cooling, seizure prediction and its applications, stimulation paradigms, and experimental stimulation.
Proceedings of SPIE present the original research papers presented at SPIE conferences and other high-quality conferences in the broad-ranging fields of optics and photonics. These books provide prompt access to the latest innovations in research and technology in their respective fields. Proceedings of SPIE are among the most cited references in patent literature.
Foundations of Large-Scale Multimedia Information Management and Retrieval: Mathematics of Perception" covers knowledge representation and semantic analysis of multimedia data and scalability in signal extraction, data mining, and indexing. The book is divided into two parts: Part I - Knowledge Representation and Semantic Analysis focuses on the key components of mathematics of perception as it applies to data management and retrieval. These include feature selection/reduction, knowledge representation, semantic analysis, distance function formulation for measuring similarity, and multimodal fusion. Part II - Scalability Issues presents indexing and distributed methods for scaling up these components for high-dimensional data and Web-scale datasets. The book presents some real-world applications and remarks on future research and development directions. The book is designed for researchers, graduate students, and practitioners in the fields of Computer Vision, Machine Learning, Large-scale Data Mining, Database, and Multimedia Information Retrieval. Dr. Edward Y. Chang was a professor at the Department of Electrical & Computer Engineering, University of California at Santa Barbara, before he joined Google as a research director in 2006. Dr. Chang received his M.S. degree in Computer Science and Ph.D degree in Electrical Engineering, both from Stanford University.
Why the United States has failed to establish a comprehensive high-quality child care program is the question at the center of this book. Edward Zigler has been intimately involved in this issue since the 1970s, and here he presents a firsthand history of the policy making and politics surrounding this important debate. Good-quality child care supports cognitive, social, and emotional development, school readiness, and academic achievement. This book examines the history of child care policy since 1969, including the inside story of America's one great attempt to create a comprehensive system of child care, its failure, and the lack of subsequent progress. Identifying specific issues that persist today, Zigler and his coauthors conclude with an agenda designed to lead us successfully toward quality care for America's children.
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