Riccardo Autorino

Senthil Nathan

Shancheng Ren

Nicola Pavan

Di Gu

Ashwin Sridhar

This book comprehensively covers the techniques available for robot- assisted prostatectomy. Chapters feature detailed descriptions of how to successfully perform a variety of relevant techniques including the reconstruction of continence mechanisms and the use of the transperitoneal RALP anterior approach. Potential complications, preoperative and postoperative management strategies are also discussed, enabling the reader to develop a thorough understanding of how to apply a range of relevant methodologies into their day-to-day clinical practice and avoid commonly encountered pitfalls. Robot-Assisted Radical Prostatectomy: Advanced Surgical Techniques provides a practically applicable resource for all practicing and trainee urologists seeking a detailed overview of the latest advances in robot-assisted surgical procedures and current management strategies applicable to prostatectomy.

Advanced Surgical Techniques

Robot-Assisted Radical Prostatectomy

IBM Redbooks

Brian Williams

Kevin Foster

Chuck Ballard

Mike Spicer

Andy Frenkiel

Bugra Gedik

Michael P. Koranda

Deepak Rajan

Roger Rea

Vitali N. Zoubov

In this IBM® Redbooks® publication, we discuss and describe the positioning, functions, capabilities, and advanced programming techniques for IBM InfoSphereTM Streams (V2), a new paradigm and key component of IBM Big Data platform. Data has traditionally been stored in files or databases, and then analyzed by queries and applications. With stream computing, analysis is performed moment by moment as the data is in motion. In fact, the data might never be stored (perhaps only the analytic results). The ability to analyze data in motion is called real-time analytic processing (RTAP). IBM InfoSphere Streams takes a fundamentally different approach to Big Data analytics and differentiates itself with its distributed runtime platform, programming model, and tools for developing and debugging analytic applications that have a high volume and variety of data types. Using in-memory techniques and analyzing record by record enables high velocity. Volume, variety and velocity are the key attributes of Big Data. The data streams that are consumable by IBM InfoSphere Streams can originate from sensors, cameras, news feeds, stock tickers, and a variety of other sources, including traditional databases. It provides an execution platform and services for applications that ingest, filter, analyze, and correlate potentially massive volumes of continuous data streams. This book is intended for professionals that require an understanding of how to process high volumes of streaming data or need information about how to implement systems to satisfy those requirements. See: http://www.redbooks.ibm.com/abstracts/sg247865.html for the IBM InfoSphere Streams (V1) release.

IBM InfoSphere Streams: Assembling Continuous Insight in the Information Revolution

Senthil Nathan

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