58,479 research outputs found

    Helm Family Papers (SC 2697)

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    Finding aid only for Manuscripts Small Collection 2697. Correspondence and miscellaneous papers of the Helm family of Bowling Green, Kentucky and Logan County, Kentucky. Includes family letters, 1938 financial information relating to the Morehead House Hotel, family reunion literature, a letter of praise to Walter A. Baker from U.S. Secretary of Defense Caspar Weinberger, and materials relating to the 1994 drowning death of Thomas Carson Helm

    Personality Traits in Juvenile Delinquents: Associations with Peer and Family Relations

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    Objective: To establish family and peer correlates of personality traits shown to be predictive of future criminal recidivism. Method: 137 incarcerated boys aged 13-18 (x = 16 ± 1.2), 35% black, 21% Hispanic, 43% white, and 1% other completed the Weinberger Adjustment Inventory (WAI) and a psychosocial history obtained by a social worker. Records were summarized using two raters who assigned numerical ratings to dimensions of family and peer relations. Results: As expected, observer ratings of family and peer relationships were correlated with the personality characteristics of distress, denial and restraint as measured by the WAI. Conclusion: Family and peer relations are associated with certain personality traits that are predictive of criminal recidivism in delinquents. This study further expands the knowledge base regarding the social and interpersonal correlates of individual traits predicting criminal recidivism

    Listening to Life’s Lessons: Using music Lyrics and Poetry to Face Issues of Aging in the Classroom

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    The use of poetry and music in college courses on aging is discussed. The format can help instructors reach their students in new ways. Poetry and music can be used to engage students in material that may be emotionally charged. In addition, poetry and music can be used to help students confront stereotypes about the elderly

    Two-Stage Metric Learning

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    In this paper, we present a novel two-stage metric learning algorithm. We first map each learning instance to a probability distribution by computing its similarities to a set of fixed anchor points. Then, we define the distance in the input data space as the Fisher information distance on the associated statistical manifold. This induces in the input data space a new family of distance metric with unique properties. Unlike kernelized metric learning, we do not require the similarity measure to be positive semi-definite. Moreover, it can also be interpreted as a local metric learning algorithm with well defined distance approximation. We evaluate its performance on a number of datasets. It outperforms significantly other metric learning methods and SVM.Comment: Accepted for publication in ICML 201

    Spreading speeds and traveling waves for non-cooperative reaction-diffusion systems

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    Much has been studied on the spreading speed and traveling wave solutions for cooperative reaction-diffusion systems. In this paper, we shall establish the spreading speed for a large class of non-cooperative reaction-diffusion systems and characterize the spreading speed as the slowest speed of a family of non-constant traveling wave solutions. As an application, our results are applied to a partially cooperative system describing interactions between ungulates and grass.Comment: Corrected typos. added Remarks 2.4 and 2.5; Journal of Nonlinear Science, 201

    Piloting VAKE (Values and Knowledge Education) in the Education for Practice of Nurses.

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    Imagine the following situation: You are a nurse for elderly people, going to the homes of your patients. A female patient tells you on our first visit after hospital discharge following a hip fracture surgery that she does not want to be at home, because she is not well enough to be alone and she needs therapy with oxygen in permanent basis until she recovers from a respiratory temporary infection situa¬tion. This kind of situations is the starting point for an educational sequence that ad-dresses both values (here: life, human dignity, respect, loneliness) and knowledge (different medical treatments, legal rules, etc.). The example shows how intensely interrelated the values and the facts are. Based on this example we introduce the constructivist didactical tool VaKE (Values and Knowledge Education) that permits to combine both issues, and present a pilot study using this method in the education of nurses.Tempus/LLAF; VAKEinfo:eu-repo/semantics/publishedVersio

    Eigenvalue Inequalities for a Family of Spherically Symmetric Riemannian Manifolds

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    This thesis considers two isoperimetric inequalities for the eigenvalues of the Laplacian on a family of spherically symmetric Riemannian manifolds. The Payne-Pólya-Weinberger Conjecture (PPW) states that for a bounded domain Ω in Euclidean space Rn, the ratio λ1(Ω)/λ0(Ω) of the first two eigenvalues of the Dirichlet Laplacian is bounded by the corresponding eigenvalue ratio for the Dirichlet Laplacian on the ball BΩof equal volume. The Szegö-Weinberger inequality states that for a bounded domain Ω in Euclidean space Rn, the first nonzero eigenvalue of the Neumann Laplacian μ1(Ω) is maximized on the ball BΩ of the same volume. In the first three chapters we will look at the known work for the manifolds Rn and Hn. Then we will take a family a spherically symmetric manifolds given by Rn with a spherically symmetric metric determined by a radially symmetric function f. We will then give a PPW-type upper bound for the eigenvalue gap, λ1(Ω) − λ0(Ω), and the ratio λ1(Ω)/λ0(Ω) on a family of symmetric bounded domains in this space. Finally, we prove the Szegö-Weinberger inequality for this same class of domains
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