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Author Mark Braverman shows how the Jewish quest for safety and empowerment and the Christian endeavor to atone for centuries of anti-Semitism have combined to suppress the conversations needed to bring about a just and lasting peace in the Holy Land. Fatal Embrace charts Braverman's journey as an American Jew struggling with the difficult realities of modern Israel. The book vividly describes the spiritual and psychological forces driving the discourse and is a call to action to Americans of all faiths. --publisher.

Interfaith relations. --- Christianity --- Judaism --- Peace-building --- Diplomatic relations --- Jewish-Arab relations --- United States --- Israel

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Among all computer-generated mathematical images, Julia sets of rational maps occupy one of the most prominent positions. Their beauty and complexity can be fascinating. They also hold a deep mathematical content. Computational hardness of Julia sets is the main subject of this book. By definition, a computable set in the plane can be visualized on a computer screen with an arbitrarily high magnification. There are countless programs to draw Julia sets. Yet, as the authors have discovered, it is possible to constructively produce examples of quadratic polynomials, whose Julia sets are not computable. This result is striking - it says that while a dynamical system can be described numerically with an arbitrary precision, the picture of the dynamics cannot be visualized. The book summarizes the present knowledge about the computational properties of Julia sets in a self-contained way. It is accessible to experts and students with interest in theoretical computer science or dynamical systems.

Algebra. --- Algorithms. --- Computer science. --- Computer software. --- Information theory. --- Julia sets. --- Julia sets --- Engineering & Applied Sciences --- Mathematics --- Physical Sciences & Mathematics --- Geometry --- Computer Science --- Data processing --- Fractals. --- Data processing. --- Fractal geometry --- Fractal sets --- Geometry, Fractal --- Sets, Fractal --- Sets of fractional dimension --- Sets, Julia --- Mathematics. --- Computer programming. --- Computers. --- Computer science --- Programming Techniques. --- Theory of Computation. --- Algorithm Analysis and Problem Complexity. --- Mathematics of Computing. --- Dimension theory (Topology) --- Fractals --- Software, Computer --- Computer systems --- Communication theory --- Communication --- Cybernetics --- Informatics --- Science --- Mathematical analysis --- Algorism --- Algebra --- Arithmetic --- Foundations --- Computer science—Mathematics. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Machine theory --- Calculators --- Cyberspace --- Computers --- Electronic computer programming --- Electronic data processing --- Electronic digital computers --- Programming (Electronic computers) --- Coding theory --- Programming

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Violence in the workplace --- Violence en milieu du travail --- Prevention --- Prévention

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This paper explores whether Big Data, taking the form of extensive high dimensional records, can reduce the cost of adverse selection by private service providers in government-run capitation schemes, such as Medicare Advantage. We argue that using data to improve the ex ante precision of capitation regressions is unlikely to be helpful. Even if types become essentially observable, the high dimensionality of covariates makes it infeasible to precisely estimate the cost of serving a given type: Big Data makes types observable, but not necessarily interpretable. This gives an informed private operator scope to select types that are relatively cheap to serve. Instead, we argue that data can be used to align incentives by forming unbiased and non-manipulable ex post estimates of a private operator's gains from selection.

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