4,801 research outputs found

    Representative Defendants

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    Everyone except the defendant in a criminal proceeding somehow represents the people. Prosecutors, judges, and juries are all considered public agents. Defendants in contrast are thought of as parochial, interested in nothing more than saving their own skins. This broadly shared understanding of criminal court actors was not historically fated nor is it legally accurate today. The Constitution tasks criminal defendants with significant public responsibility. They frequently represent the interests of third parties who have no direct stake in defendants\u27 criminal cases. Defendants vindicate the participatory rights of excluded jurors, they deter unconstitutional searches and seizures that could harm innocent civilians in the future, and they help ensure the transparent and expeditious functioning of the criminal justice system for the public\u27s benefit. Neither courts nor commentators recognize these representative actions as part of a coherent account of defendants\u27 role in the legal system. But representative defendants serve some of the same functions that representative plaintiffs do in the civil setting: overcoming information deficits, low-dollar-value harms, and resource scarcity, all of which make it unlikely that individual harm bearers will seek recourse in court. Courts, commentators, and the public should be clear-eyed about the role defendants play in our legal system. Doing so would help modulate criminal justice policy and enable defense counsel to more effectively challenge the systematic, third-party harms that criminal justice institutions generate

    Applications of heat pipes to cool PWBS and hybrid microcircuits

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    Some of the advanced thermal management techniques used to reduce operating junction temperature under extreme environmental temperature conditions are discussed. Heat pipes in actual electronic packaging applications, and those under development, are discussed. Performance characteristics of heat pipes are given, and examples are described of how thermal problems in electronic packaging are solved through the use of heat pipes

    Multivariate and Propensity Score Matching Software with Automated Balance Optimization: The Matching package for R

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    Matching is an R package which provides functions for multivariate and propensity score matching and for finding optimal covariate balance based on a genetic search algorithm. A variety of univariate and multivariate metrics to determine if balance actually has been obtained are provided. The underlying matching algorithm is written in C++, makes extensive use of system BLAS and scales efficiently with dataset size. The genetic algorithm which finds optimal balance is parallelized and can make use of multiple CPUs or a cluster of computers. A large number of options are provided which control exactly how the matching is conducted and how balance is evaluated.
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