25,282 research outputs found

    Students Speak: On the Edge: Defending an Identity

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    Br(e)king the Exploitation of Labor?: Tensions Regarding the Welfare Workforce

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    This Article examines the deep human rights concerns within the transmogrifying world of work, focusing on the integral part that work plays in the definition, construction, maintenance, and enhancement of the social contract in the context of the New York City welfare workforce. Part I reviews the employee /partner/independent contractor distinctions, focusing on recent case law, the regulatory tax regime, and related issues. Part II examines the complex pressures that workfare legislation will exert throughout most sectors of the workforce and the unemployed. Part III explores the role of Catholic social teachings on workers\u27 rights as well as the reemergence of the living wage initiative. This Article concludes that the situation is grim, perhaps inexorably Malthusian. As huge pools of surplus labor bid unsuccessfully for increasingly scarce jobs, all but the most educated and technologically adept face unrelenting downward pressures on wage compensation

    The Discernment of (the Law Student\u27s) Vocation in Law

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    A Guide to Critical Legal Studies

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    Review of: A Guide to Critical Legal Studies. By Mark Kelman. Harvard University Press, Cambridge, Massachusetts and London, England, 1987

    What does Newcomb's paradox teach us?

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    In Newcomb's paradox you choose to receive either the contents of a particular closed box, or the contents of both that closed box and another one. Before you choose, a prediction algorithm deduces your choice, and fills the two boxes based on that deduction. Newcomb's paradox is that game theory appears to provide two conflicting recommendations for what choice you should make in this scenario. We analyze Newcomb's paradox using a recent extension of game theory in which the players set conditional probability distributions in a Bayes net. We show that the two game theory recommendations in Newcomb's scenario have different presumptions for what Bayes net relates your choice and the algorithm's prediction. We resolve the paradox by proving that these two Bayes nets are incompatible. We also show that the accuracy of the algorithm's prediction, the focus of much previous work, is irrelevant. In addition we show that Newcomb's scenario only provides a contradiction between game theory's expected utility and dominance principles if one is sloppy in specifying the underlying Bayes net. We also show that Newcomb's paradox is time-reversal invariant; both the paradox and its resolution are unchanged if the algorithm makes its `prediction' after you make your choice rather than before

    Resonance Energy Transfer

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    Resonance energy transfer, also known as Förster- or fluorescence- resonance energy transfer, or electronic energy transfer, is a photonic process whose relevance in many major areas of science is reflected both by a wide prevalence of the effect and through numerous technical applications. The process, operating through an optical near-field mechanism, effects a transport of electronic excitation between physically distinct atomic or molecular components, based on transition dipole-dipole coupling. In this chapter a comprehensive survey of the process is presented, beginning with an outline of the history and highlighting the early contributions of Perrin and Förster. A review of the photophysics behind resonance energy transfer follows, and then a discussion of some prominent applications of resonance energy transfer. Particular emphasis is given to analysis and sensing techniques used in molecular biology, ranging from the ‘spectroscopic ruler’ measurements of functional group separation, to fluorescence lifetime microscopy. The chapter ends with a description of the role of energy transfer in photosynthetic light harvesting

    Development of a Multi-Objective Evolutionary Algorithm for Strain-Enhanced Quantum Cascade Lasers

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    An automated design approach using an evolutionary algorithm for the development of quantum cascade lasers (QCLs) is presented. Our algorithmic approach merges computational intelligence techniques with the physics of device structures, representing a design methodology that reduces experimental effort and costs. The algorithm was developed to produce QCLs with a three-well, diagonal-transition active region and a five-well injector region. Specifically, we applied this technique to AlxGa1xAs/InyGa1yAs strained active region designs. The algorithmic approach is a non-dominated sorting method using four aggregate objectives: target wavelength, population inversion via longitudinal-optical (LO) phonon extraction, injector level coupling, and an optical gain metric. Analysis indicates that the most plausible device candidates are a result of the optical gain metric and a total aggregate of all objectives. However, design limitations exist in many of the resulting candidates, indicating need for additional objective criteria and parameter limits to improve the application of this and other evolutionary algorithm methods

    The dynamics of domain walls and strings

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    The leading order finite-width corrections to the equation of motion describing the motion of a domain wall are derived. The regime in which this equation of motion is invalid is discussed. Spherically and cylindrically symmetric solutions to this equation of motion are found. A misconception that has arisen in recent years regarding the rigidity (or otherwise) of cosmic strings is also clarified
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