9,424 research outputs found

    Elderly Offenders: An American Corrections Catch-22?

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    The problem of the aging offender population is an issue that will ultimately need to be addressed by state corrections departments and legislatures. As general prison populations continue to age, the type and extent of inmate health care needs will change. This thesis examines the experiences of the elderly offender in the prison environment. Specifically, the conditions surrounding incarceration are evaluated, including unique age-related impairments, disability accommodations, constitutional protections, and programs and policies addressing the elderly offender population. A review of sentencing policy in Kansas will then be conducted, with specific focus on downward departure sentencing based upon advanced age. Recommendations that are made to address the continued growth of the Kansas elderly offender population include both proposed state agency and legislative policy changes. Agency recommendations relate to the administration of the newly-renovated geriatric correctional facility in Oswego, Labette County, Kansas. Legislative policy proposals address changes in Kansas sentencing policy, for purposes of integrating the factors of extraordinary physical impairment and age in departure sentencing and parole hearings. Amendatory changes to state early release procedures will also be raised to provide early release mechanisms for offgrid offenders

    Characterization of Metastatic Tumor Formation by the Colony Size Distribution

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    Knowledge regarding the kinetics of metastatic tumor formation, as related to the growth of the primary tumor, represents a fundamental issue in cancer biology. Using an in vivo mammalian model, we show here that one can obtain useful information from the frequency distribution of the sizes of metastatic colonies in distant organs after serial sectioning and image reconstruction. To explain the experimental findings, we constructed a biophysical model based on the respective growth patterns of the primary tumor and metastases and a stochastic process of metastatic colony formation. Heterogeneous distributions of various biological parameters were considered. We found that the elementary assumption of exponential forms of growth for the primary tumor and metastatic colonies predicts a linear relation on a log-log plot of a metastatic colony size distribution, which was consistent with the experimental results. Furthermore, the slope of the curve signifies the ratio of growth rates of the primary and the metastases. Non-exponential (Gompertzian and logistic) tumor growth patterns were also incorporated into the theory to explain possible deviation from the log-log linear relation. The observed metastasis-free probability also supported the assumption of a time-dependent Poisson process. With this approach, we determined the mechanistic parameters governing the process of metastatogenesis in the lungs for two murine tumor cell lines (KHT and MCaK). Since biological parameters specified in the model could be obtained in the laboratory, a workable metastatic "assay" may be established for various malignancies and in turn contribute in formulating rational treatment regimens for subclinical metastases.Comment: 14 pages, 6 figure
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