Dx Rx

Tightly organized into a super-condensed outline bulleted format, this handy, pocket-sized manual details precise, up-to-date information for diagnosis and treatment of cervical cancer and includes information on new vaccines. Throughout the book, tables and figures summarize important clinical data and current professional society recommendations, while salient references direct readers to additional information. Dx/Rx: Cervical Cancer, Second Edition features current, quick, and concise information for instant access on the ward or in the clinic!

Tightly Organized Into A Super-Condensed, Outline Bulleted Format, This Handy, Pocket-Sized Manual Details Precise, Up-To-Date Information For Diagnosis And Treatment Of Esophageal And, Gastric Cancers. Comprehensive And Concise, The Book Covers Epidemiology, Diagnosis, Staging, Treatment, And Complications. Throughout The Handbook, Tables And Figures Summarize Important Clinical Data And Current Professional Society Recommendations, While Salient References Direct Readers To Additional Information. Current, Quick, And Concise, For Instant Access On Ward Or In The Clinic!

This multi-authored volume presents selected papers from the Eighth Workshop on Dynamics and Control. Many of the papers represent significant advances in this area of research, and cover the development of control methods, including the control of dynamical systems subject to mixed constraints on both the control and state variables, and the development of a control design method for flexible manipulators with mismatched uncertainties. Advances in dynamic systems are presented, particularly in game-theoretic approaches and also the applications of dynamic systems methodology to social and environmental problems, for example, the concept of virtual biospheres in modeling climate change in terms of dynamical systems.

Artificial Intelligence Planning Systems documents the proceedings of the First International Conference on AI Planning Systems held in College Park, Maryland on June 15-17, 1992. This book discusses the abstract probabilistic modeling of action; building symbolic primitives with continuous control routines; and systematic adaptation for case-based planning. The analysis of ABSTRIPS; conditional nonlinear planning; and building plans to monitor and exploit open-loop and closed-loop dynamics are also elaborated. This text likewise covers the modular utility representation for decision-theoretic planning; reaction and reflection in tetris; and planning in intelligent sensor fusion. Other topics include the resource-bounded adaptive agent, critical look at Knoblock's hierarchy mechanism, and traffic laws for mobile robots. This publication is beneficial to students and researchers conducting work on AI planning systems.