For nearly 30 years, the Concise Guide to Neuropsychiatry and Behavioral Neurology has been an indispensable companion for clinicians caring for patients struggling with everything from delusions and hallucinations to aphasia and stroke. This third edition combines all of the scientific rigor of its predecessors with a renewed emphasis on kind, empathetic care. It has been updated to account for the development of new techniques in brain imaging; improvement in electrophysiological methods to better detect epilepsy and sleep disorders; and a growing list of blood and spinal fluid biomarkers that have revolutionized diagnostic capability. Readers will benefit from guidance on novel treatments and improved therapies for a range of disorders that includes * Memory disorders* Movement disorders* Brain tumors* Substance related disorders* HIV neurocognitive disorders A wealth of tables throughout the book will help busy clinicians quickly reference relevant information, regardless of the patient's presentation. And an extensive list of recommended readings opens the door to further study. As useful for trainees as it is for the experienced practitioner, the Concise Guide to Neuropsychiatry and Behavioral Neurology, Third Edition offers the latest science and expert guidance to both achieve accurate diagnosis and undertake effective management of patients with complex neuropsychiatric and neurobehavioral disorders.

With the rapid growth of communication and computational capacity, one area of the military that is an obvious candidate for transformation is command and control (C2). Network Centric Warfare (NCW) advocates believe that linked sensors, shooters, and decision makers will be able to plan and execute combat action more rapidly and more effectively than non-linked units. Skeptics of NCW believe it has the potential to place too much emphasis on the technical and tactical aspects of warfare. Another potential weakness of the NCW concept is information overload at all levels of command. Sensor fusion is a method of using computer algorithms to combine information from various sensors into one track to reduce information overload. Sensor fusion algorithms may combine discrete tracks or may combine measurements from two or more sensors. Sensor fusion may involve input from similar sensors, such as two radars, or dissimilar sensors such as a radar and a forward looking infrared (FLIR).