From important aspects of the physical examination to imaging studies to treatment options and dosage guidelines, Decision Making in Neurocritical Care provides a solid introduction to the evidence-based management of patients in the neurological intensive care unit. Succinct text in a highly accessible bullet-point format details the essentials of history-taking, physical examination, differential diagnosis, diagnostic evaluation, and treatments for a range of neurological problems in the critical care setting. Special features: - Brief vignettes of typical cases emphasize key questions for the physician to consider and urgent orders to be given - Coverage of the basics of neurocritical care, including techniques of intubation, ventilator management, sedation, and multimodality monitoring - Pearls and pitfalls highlight key points in patient management - Convenient medication tables, including dosages, adverse effects, and contraindications - Consistent presentation in each chapter enhances ease of use Ideal for neurologists, neurosurgeons and critical care physicians at all levels, this book is invaluable for optimizing patient care. It is also an excellent choice for board review preparation in these specialties.
This book is designed to support you in making difficult decisions in a more - tional way. Based on an established theoretical foundation, it shows that simple requirements concerning rational behavior lead to a general calculus of determ- ing optimal decision alternatives; the book then goes on to present methods and instruments useful for the practical implementation of these concepts. Psychological research has uncovered a multitude of systematic cognitive - ases associated with the intuitive decision process, especially concerning the f- mation of preferences and subjective probability judgments for uncertain events. These developments have elevated prescriptive decision theory to the status of an important discipline with increasingly strong practical ties - nowadays, even m- agers are concerned with decision trees, probability distributions and risk profiles. There is also a wide range of software available on the market to aid users with the use of the instruments. We would like to convince you, by help of the many pr- tical questions and case studies included with most chapters, that the material c- ered is not purely an academic diet but also of high practical nutritional value. The mindset suggested by the theory as an approach for decision problems will surely be of much use to you both in your private and professional life, even if you do not apply the presented methods of decision making support in every little - tail.
This open access book focuses on both the theory and practice associated with the tools and approaches for decisionmaking in the face of deep uncertainty. It explores approaches and tools supporting the design of strategic plans under deep uncertainty, and their testing in the real world, including barriers and enablers for their use in practice. The book broadens traditional approaches and tools to include the analysis of actors and networks related to the problem at hand. It also shows how lessons learned in the application process can be used to improve the approaches and tools used in the design process. The book offers guidance in identifying and applying appropriate approaches and tools to design plans, as well as advice on implementing these plans in the real world. For decisionmakers and practitioners, the book includes realistic examples and practical guidelines that should help them understand what decisionmaking under deep uncertainty is and how it may be of assistance to them. Decision Making under Deep Uncertainty: From Theory to Practice is divided into four parts. Part I presents five approaches for designing strategic plans under deep uncertainty: Robust Decision Making, Dynamic Adaptive Planning, Dynamic Adaptive Policy Pathways, Info-Gap Decision Theory, and Engineering Options Analysis. Each approach is worked out in terms of its theoretical foundations, methodological steps to follow when using the approach, latest methodological insights, and challenges for improvement. In Part II, applications of each of these approaches are presented. Based on recent case studies, the practical implications of applying each approach are discussed in depth. Part III focuses on using the approaches and tools in real-world contexts, based on insights from real-world cases. Part IV contains conclusions and a synthesis of the lessons that can be drawn for designing, applying, and implementing strategic plans under deep uncertainty, as well as recommendations for future work. The publication of this book has been funded by the Radboud University, the RAND Corporation, Delft University of Technology, and Deltares.
Provides students and managers with an understanding appreciation of the strengths and limitations of an organization´s accounting system. This book demonstrates that managerial accounting is an integral part of the firm´s organizational architecture, not just an isolated set of computational topics.
This expanded second edition of the 2014 textbook features dedicated sections on action and observation, so that the reader can combine the use of the developed theoretical basis with practical guidelines for deployment. It also includes a focus on selection and use of a dedicated modeling paradigm - fuzzy cognitive mapping - to facilitate use of the proposed multi-methodology. The end goal of the text is a holistic, interdisciplinary approach to structuring and assessing complex problems, including a dedicated discussion of thinking, acting, and observing complex problems. The multi-methodology developed is scientifically grounded in systems theory and its accompanying principles, while the process emphasizes the nonlinear nature of all complex problem-solving endeavors. The authors´ clear and consistent chapter structure facilitates the book´s use in the classroom.
This book discusses capital markets and investment decision-making, focusing on the globalisation of the world economy. It presents empirically tested results from Indian and Southwest Asian stock markets and offers valuable insights into the working of Indian capital markets. The book is divided into four parts: the first part examines capital-market operations, particularly clearance and settlement processes, and stock market operations. The second part then addresses the functioning of global markets and investment decisions; more specifically it explores calendar anomalies, dependencies, overreaction effect, causality effect and stock returns volatility in South Asia, U.S. and global stock markets as a whole. Part three covers issues relating to capital structure, values of firm and investment strategies. Lastly, part four discusses emerging issues in finance like behavioral finance, Islamic finance, and international financial reporting standards. The book fills the gap in the existing finance literature and helps fund managers and individual investors make more accurate investment decisions.
This book provides comprehensive coverage of the latest research on multiple criteria research analysis (MCDA) and related areas, gathering a collection of high-quality chapters prepared by leading scholars in the field. By covering the established streams in MCDA research and simultaneously exploring new and emerging areas of application, it offers a unique reference resource for the future development of MCDA. The book approaches MCDA as one of the most active areas in operations research and management science (OR/MS). It presents not only the significant advances achieved to date, but also the new opportunities and challenges arising for both the theory and practice of MCDA. Among many others, the book addresses behavioral and conceptual aspects of decision aiding and decision making, problem structuring issues in the framework of new technological and socio-economic advances, methodological and algorithmic advances for analytical modeling and decision aiding, as well as a number of new application areas in engineering, business, and the social sciences.