7,624 research outputs found

    The Second Coming Of The Invisible Empire: The Ku Klux Klan Of The 1920s

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    Invisible Empire\u27s Visible Reach in Georgia The Ku Klux Klan, a terrorist group with its origins in the Reconstruction era after the Civil War, reemerged as a wildly popular organization in the 1920s. The Klan\u27s ability to enroll millions of dues-paying Americans in its ranks owed much to the sophi...

    Mckenzie Evaluation and Treatment for Lumbar Dysfunction and ANR

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    Background and Purpose: When it comes to low back pain, McKenzie theory is considered highly effective for evaluating and treating patients with low back symptoms. There are three main classifications within McKenzie theory; postural, dysfunction, and derangement syndromes. The main focus of this case will be on the dysfunction classification and its subcategory adherent nerve roots (ANR). Dysfunction syndrome is characterized by pain due to deformation of structures and tissues that limit ROM causing pain at end range. ANR\u27s are caused by scar tissue build up encompassing nerve roots due to trauma or surgery that produces symptoms when nerve tension is present. Case Description: The patient is a 32 year old male who presents with low back pain which later was diagnosed as a lumbar extension dysfunction and RlE ANR. Interventions: Treatment focused on correction of dysfunction and ANR through prone press ups and nerve flossing. Treatment goals were to decrease pain, increase spinal ROM, and improve functional abilities. Outcomes: Treatment lasted 9 weeks from initial evaluation with a total of 10 visits. Upon discharge the patient displayed full and pain-free spinal ROM in all directions with SlR, and slump test being negative with improved functional mobility at home and work. Discussion: The patient reported high satisfaction with treatment outcomes. Additional studies would be beneficial due to limited research in the area of ANR\u27s and dysfunctions

    Transcriptional Analysis of Reciprocal Tumor-Microenvironment Interactions in Glioblastoma

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    In the last twenty years both computational biology and cancer biology have made great strides and in the last 5 years the merger of the two has helped to revolutionize our knowledge of personalized targeted therapy and the diversity of cancer. In cancer, cell-to-cell interactions between tumor cells and their microenvironment are critical determinants of tumor tissue biology and therapeutic responses. Interactions between glioblastoma (GBM) cells and endothelial cells (ECs) establish a purported stem cell niche. We hypothesized that genes that mediate these interactions would be important, particularly as therapeutic targets. Using a novel computational approach to deconvoluting expression data from mixed physical coculture of GBM cells and ECs, we identified a previously undescribed upregulation of the cAMP specific phosphodiesterase PDE7B in GBM cells in response to ECs. We further found that elevated PDE7B expression occurs in most GBM cases and has a negative effect on survival. PDE7B overexpression resulted in the expansion of a stem-like cell subpopulation, increased tumor aggressiveness, and increased growth in an intracranial GBM model. This deconvolution algorithm provides a new tool for cancer biology, particularly when looking at cell-to-cell interactions, and these results identify PDE7B as a therapeutic target in GBM

    Induced quasi-cocycles on groups with hyperbolically embedded subgroups

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    Let G be a group, H a hyperbolically embedded subgroup of G, V a normed G-module, U an H-invariant submodule of V. We propose a general construction which allows to extend 1-quasi-cocycles on H with values in U to 1-quasi-cocycles on G with values in V. As an application, we show that every group G with a non-degenerate hyperbolically embedded subgroup has dim H^2_b (G, l^p(G))=\infty for p\in [1, \infty). This covers many previously known results in a uniform way. Applying our extension to quasimorphisms and using Bavard duality, we also show that hyperbolically embedded subgroups are undistorted with respect to the stable commutator length.Comment: 27 pages, 6 figure

    Airfoil self-noise and prediction

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    A prediction method is developed for the self-generated noise of an airfoil blade encountering smooth flow. The prediction methods for the individual self-noise mechanisms are semiempirical and are based on previous theoretical studies and data obtained from tests of two- and three-dimensional airfoil blade sections. The self-noise mechanisms are due to specific boundary-layer phenomena, that is, the boundary-layer turbulence passing the trailing edge, separated-boundary-layer and stalled flow over an airfoil, vortex shedding due to laminar boundary layer instabilities, vortex shedding from blunt trailing edges, and the turbulent vortex flow existing near the tip of lifting blades. The predictions are compared successfully with published data from three self-noise studies of different airfoil shapes. An application of the prediction method is reported for a large scale-model helicopter rotor, and the predictions compared well with experimental broadband noise measurements. A computer code of the method is given
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