46 research outputs found

    Exile Anthology: A Special Sesquicentennial Issue

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    Horses by Deborah S. Appleton 1 Man and His World by Clark Baise 2-11 South Dakota, Route 34 by Bonnie Bishop 12 Heads and Tails by Tim Cockey 13-17 When The Bough Breaks by Alison Orleans Conte 17 Poem by Christine Cooper (Oosterbaan) 18 Flood on the Jemez by Doug Cox 19 San Antonia Canyon by Doug Cox 19 Canyon Poems by Doug Cox 19 Busy Being Born by Lindrith Davies 20-26 The Queen is Dead, Long Life The Queen by James Funaro 27 The Gates of Hell by James Funaro 28 What The Chorus Said by James Funaro 28 Coronado by James Gallant 29-35 The End Of Art by Dianne L. Goss 35 Visiting Relatives by Cynthia Hohn 36-38 Swinging by Kathy Kerchner 39 The Big House by Kim McMullen 40-47 Seasons by Dan Pancake 48 Basho\u27s Road by D. Patnode 49 Back Home by D. Patnode 49 Basket Charm by Angela Peckenpaugh 50 There Is something by Deborah Pope 51 Twilight Loneliness by Robert Smyth 52 Molting by Robert Smyth 52 Parkman by Mary S. Treco 53 The Guest by Dennis Trudell 54 The Wormwood Review by Dennis Trudell 55 Milkweed by Bonnie L. Verburg 56 Orion Falling by Lawrence Weber 57 Third by Lawrence Weber 58 Cover Drawing: Kim Fleishma

    In vivo MRI signatures of hippocampal subfield pathology in intractable epilepsy.

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    OBJECTIVES: Our aim is to assess the subfield-specific histopathological correlates of hippocampal volume and intensity changes (T1, T2) as well as diff!usion MRI markers in TLE, and investigate the efficacy of quantitative MRI measures in predicting histopathology in vivo. EXPERIMENTAL DESIGN: We correlated in vivo volumetry, T2 signal, quantitative T1 mapping, as well as diffusion MRI parameters with histological features of hippocampal sclerosis in a subfield-specific manner. We made use of on an advanced co-registration pipeline that provided a seamless integration of preoperative 3 T MRI with postoperative histopathological data, on which metrics of cell loss and gliosis were quantitatively assessed in CA1, CA2/3, and CA4/DG. PRINCIPAL OBSERVATIONS: MRI volumes across all subfields were positively correlated with neuronal density and size. Higher T2 intensity related to increased GFAP fraction in CA1, while quantitative T1 and diffusion MRI parameters showed negative correlations with neuronal density in CA4 and DG. Multiple linear regression analysis revealed that in vivo multiparametric MRI can predict neuronal loss in all the analyzed subfields with up to 90% accuracy. CONCLUSION: Our results, based on an accurate co-registration pipeline and a subfield-specific analysis of MRI and histology, demonstrate the potential of MRI volumetry, diffusion, and quantitative T1 as accurate in vivo biomarkers of hippocampal pathology

    Issue Costs and Common Stock Offerings

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    Estimation of Obstacle and Terrain Impact Probabilities

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