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This book shows how changing diplomatic practices are central in explaining key dimensions of world politics, from law to war.
This textbook offers a comprehensive theory of medical decision making under uncertainty, combining informative test theory with the expected utility hypothesis. The book shows how the parameters of Bayes’ theorem can be combined with a value function of health states to arrive at informed test and treatment decisions. The authors distinguish between risk neutral, risk averse and prudent decision makers and demonstrate the effects of risk preferences on physicians’ decisions. They analyze individual tests, multiple tests and endogenous tests where the test result is determined by the decision maker. Finally, the topic is examined in the context of health economics by introducing a trade-off between enjoying health and consuming other goods, so that the extent of treatment and thus the potential improvement in the patient’s health become endogenous.
Movies like American Sniper and The Hurt Locker hint at the inner scars our soldiers incur during service in a war zone. The moral dimensions of their psychological injuries--guilt, shame, feeling responsible for doing wrong or being wronged-elude conventional treatment. Georgetown philosophy professor Nancy Sherman turns her focus to these moral injuries in Afterwar. She argues that psychology and medicine alone are inadequate to help with many of the most painful questions veterans are bringing home from war. Trained in both ancient ethics and psychoanalysis, and with twenty years of experience working with the military, Sherman draws on in-depth interviews with servicemen and women to pai...
This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine.
For decades, the reigning scholarly wisdom about nuclear weapons policy has been that the United States only needs the ability to absorb an enemy nuclear attack and still be able to respond with a devastating counterattack. So long as the US, or any other nation, retains such an assured retaliation capability, no sane leader would intentionally launch a nuclear attack against it, and nuclear deterrence will hold. According to this theory, possessing more weapons than necessary for a second-strike capability is illogical. This argument is reasonable, but, when compared to the empirical record, it raises an important puzzle. Empirically, we see that the United States has always maintained a nu...
This book consists of 13 papers developed by participants in the ICME 13 Topic Study Group 40 on Classroom Assessment. The individual papers discuss various aspects of classroom assessment, focusing particularly on formative assessment as assessment for learning, and are grouped into four main sections: Examples of Classroom Assessment in Action, Technology as a Tool for Classroom Assessment, Statistical Models for Formative Assessment, and Engaging Teachers in Formative Assessment. The book opens with a brief discussion of the use of formative assessment as a critical component of the teaching–learning process and concludes with an overview of lessons learned and ideas for future research. It is of interest to classroom teachers, university teacher educators, professional development providers and school supervisors.
The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histo...