178,931 research outputs found

    Sentencing Disparities in Yakima County: The Washington Sentencing Reform Act Revisited

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    This study expands upon an earlier exploration of sentencing disparity in the Yakima County, Washington judicial system. The Sentencing Reform Act was adopted in 1981, becoming effective in 1984, to end inequitable sentences imposed on individuals who are convicted of similar offenses. This work adds to the original study by including an investigation of exceptional sentences and offense type crime. Independent variables are defendants\u27 ethnicity (Hispanic, Native American, and White), age, and gender. The period of investigation includes fiscal years 1986 through 1991. Data was provided to the researchers by the Washington Sentencing Guidelines Commission and was processed using a difference of means test (ANOVA program). The findings suggest that sentencing disparity, while not being widespread, does persist nearly a decade after the Sentencing Reform Act was adopted. Hispanic defendants who had no prior criminal history were apt to receive disproportionately more severe sentences for similar crimes than Native Americans or whites

    A Probabilistic Embedding Clustering Method for Urban Structure Detection

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    Urban structure detection is a basic task in urban geography. Clustering is a core technology to detect the patterns of urban spatial structure, urban functional region, and so on. In big data era, diverse urban sensing datasets recording information like human behaviour and human social activity, suffer from complexity in high dimension and high noise. And unfortunately, the state-of-the-art clustering methods does not handle the problem with high dimension and high noise issues concurrently. In this paper, a probabilistic embedding clustering method is proposed. Firstly, we come up with a Probabilistic Embedding Model (PEM) to find latent features from high dimensional urban sensing data by learning via probabilistic model. By latent features, we could catch essential features hidden in high dimensional data known as patterns; with the probabilistic model, we can also reduce uncertainty caused by high noise. Secondly, through tuning the parameters, our model could discover two kinds of urban structure, the homophily and structural equivalence, which means communities with intensive interaction or in the same roles in urban structure. We evaluated the performance of our model by conducting experiments on real-world data and experiments with real data in Shanghai (China) proved that our method could discover two kinds of urban structure, the homophily and structural equivalence, which means clustering community with intensive interaction or under the same roles in urban space.Comment: 6 pages, 7 figures, ICSDM201

    Background effects on reconstructed WIMP couplings

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    In this talk, I presented effects of small, but non-negligible unrejected background events on the determinations of WIMP couplings/cross sections.Comment: 4 pages, 5 eps figures, to appear in the proceedings of the 12th International Conference on Topics in Astroparticle and Underground Physics (TAUP 2011), September 5-9, 2011, Munich, German

    Binding energies of hydrogen-like impurities in a semiconductor in intense terahertz laser fields

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    A detailed theoretical study is presented for the influence of linearly polarised intense terahertz (THz) laser radiation on energy states of hydrogen-like impurities in semiconductors. The dependence of the binding energy for 1s and 2p states on intensity and frequency of the THz radiation has been examined.Comment: 14 pages, 4 figure
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