77 research outputs found

    Viola Day Recital

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    Kemp Recital Hall Sunday Afternoon April 13, 2008 4:00p.m

    Social support for women who are abused in heterosexual relationships.

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    Previous studies of social support for abused women have reported both supportive and unsupportive responses from friends and relatives to disclosures of abuse. Little attention has been paid to factors that influence such support. The present study examined influences on social support for abused women and on how it was evaluated. Of particular interest was the impact of the confidants\u27 experiences of abuse. Other potential influences included the abused women\u27s and their confidants\u27 attributions for the abuse, the confidants\u27 attitude toward abuse and loyalty to the abusive partner, the prior relationship history of the confidants and the abused women, and the abused women\u27s beliefs about help-seeking. Three hundred and six female undergraduates completed extensive surveys assessing their experiences of abuse, disclosure, and social support, as well as their experiences with other women\u27s disclosures of abuse and their responses. Factors influencing social support and the evaluation of support were identified through regression analyses. When women disclose abuse that was verbal in nature, the tendency toward unsupportive responses n increased if their chosen confidant had experienced more severe abuse. This finding suggests that the disparity in experiences of abuse has deleterious effects on social support for abused women. Moreover, the shared experiences of abuse do not necessarily facilitate supportive responses to disclosures. Other impediments to effective social support included the confidants\u27 loyalty to women\u27s abusive partners and a history of conflict with the confidants. Confidants\u27 and women\u27s attributions for their abuse also influenced the evaluation of support. Suggestions for future studies of social support for abused women and for interventions based on the findings of the present study are presented.Dept. of Psychology. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1997 .D86. Source: Dissertation Abstracts International, Volume: 59-08, Section: B, page: 4535. Adviser: Charlene Y. Senn. Thesis (Ph.D.)--University of Windsor (Canada), 1997

    Strong Lens Models for 37 Clusters of Galaxies from the SDSS Giant Arcs Survey

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    We present strong gravitational lensing models for 37 galaxy clusters from the SDSS Giant Arcs Survey. We combine data from multi-band Hubble Space Telescope WFC3imaging, with ground-based imaging and spectroscopy from Magellan, Gemini, APO, and MMT, in order to detect and spectroscopically confirm new multiply-lensed background sources behind the clusters. We report spectroscopic or photometric redshifts of sources in these fields, including cluster galaxies and background sources. Based on all available lensing evidence, we construct and present strong lensing mass models for these galaxy clusters.Comment: 53 pages; submitted to ApJ

    Lens Model and Source Reconstruction Reveal the Morphology and Star Formation Distribution in the Cool Spiral LIRG SGAS J143845.1++145407

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    We present Hubble Space TelescopeHubble\ Space\ Telescope (HSTHST) imaging and grism spectroscopy of a strongly lensed LIRG at z=0.816z=0.816, SGAS 143845.1++145407, and use the magnification boost of gravitational lensing to study the distribution of star formation throughout this galaxy. Based on the HSTHST imaging data, we create a lens model for this system; we compute the mass distribution and magnification map of the z=0.237z=0.237 foreground lens. We find that the magnification of the lensed galaxy ranges between 22 and 1010, with a total magnification (measured over all the images of the source) of μ=11.8−2.4+4.6\mu=11.8^{+4.6}_{-2.4}. We find that the total projected mass density within ∼34\sim34 kpc of the brightest cluster galaxy is 6.0−0.7+0.3×1012 M⊙6.0^{+0.3}_{-0.7}\times10^{12}\,M_{\odot}. Using the lens model we create a source reconstruction for SGAS 143845.1++145407, which paired with a faint detection of Hα\alpha in the grism spectroscopy, allows us to finally comment directly on the distribution of star formation in a z∼1z\sim1 LIRG. We find widespread star formation across this galaxy, in agreement with the current understanding of these objects. However, we note a deficit of Hα\alpha emission in the nucleus of SGAS 143845.1++145407, likely due to dust extinction.Comment: 7 pages, 8 figures, 2 table

    An ALMA Search for Substructure, Fragmentation, and Hidden Protostars in Starless Cores in Chamaeleon I

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    We present an Atacama Large Millimeter/submillimeter Array (ALMA) 106 GHz (Band 3) continuum survey of the complete population of dense cores in the Chamaeleon I molecular cloud. We detect a total of 24 continuum sources in 19 different target fields. All previously known Class 0 and Class I protostars in Chamaeleon I are detected, whereas all of the 56 starless cores in our sample are undetected. We show that the Spitzer+Herschel census of protostars in Chamaeleon I is complete, with the rate at which protostellar cores have been misclassified as starless cores calculated as <1/56, or < 2%. We use synthetic observations to show that starless cores collapsing following the turbulent fragmentation scenario are detectable by our ALMA observations when their central densities exceed ~10^8 cm^-3, with the exact density dependent on the viewing geometry. Bonnor-Ebert spheres, on the other hand, remain undetected to central densities at least as high as 10^10 cm^-3. Our starless core non-detections are used to infer that either the star formation rate is declining in Chamaeleon I and most of the starless cores are not collapsing, matching the findings of previous studies, or that the evolution of starless cores are more accurately described by models that develop less substructure than predicted by the turbulent fragmentation scenario, such as Bonnor-Ebert spheres. We outline future work necessary to distinguish between these two possibilities.Comment: Accepted by Ap

    Stakeholder-driven development and implementation of CRICIT: an app to support high-quality data capture and protocol monitoring for outpatient clinical trials with vulnerable populations

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    Abstract Introduction:Choosing an appropriate electronic data capture system (EDC) is a critical decision for all randomized controlled trials (RCT). In this paper, we document our process for developing and implementing an EDC for a multisite RCT evaluating the efficacy and implementation of an enhanced primary care model for individuals with opioid use disorder who are returning to the community from incarceration. Methods:Informed by the Knowledge-to-Action conceptual framework and user-centered design principles, we used Claris Filemaker software to design and implement CRICIT, a novel EDC that could meet the varied needs of the many stakeholders involved in our study. Results:CRICIT was deployed in May 2021 and has been continuously iterated and adapted since. CRICIT’s features include extensive participant tracking capabilities, site-specific adaptability, integrated randomization protocols, and the ability to generate both site-specific and study-wide summary reports. Conclusions:CRICIT is highly customizable, adaptable, and secure. Its implementation has enhanced the quality of the study’s data, increased fidelity to a complicated research protocol, and reduced research staff’s administrative burden. CRICIT and similar systems have the potential to streamline research activities and contribute to the efficient collection and utilization of clinical research data

    Multi-ancestry Mendelian randomization of omics traits revealing drug targets of COVID-19 severity

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    BACKGROUND: Recent omic studies prioritised several drug targets associated with coronavirus disease 2019 (COVID-19) severity. However, little evidence was provided to systematically estimate the effect of drug targets on COVID-19 severity in multiple ancestries. METHODS: In this study, we applied Mendelian randomization (MR) and colocalization approaches to understand the putative causal effects of 16,059 transcripts and 1608 proteins on COVID-19 severity in European and effects of 610 proteins on COVID-19 severity in African ancestry. We further integrated genetics, clinical and literature evidence to prioritise drug targets. Additional sensitivity analyses including multi-trait colocalization and phenome-wide MR were conducted to test for MR assumptions. FINDINGS: MR and colocalization prioritized four protein targets, FCRL3, ICAM5, ENTPD5 and OAS1 that showed effect on COVID-19 severity in European ancestry. One protein target, SERPINA1 showed a stronger effect in African ancestry but much weaker effect in European ancestry (odds ratio [OR] in Africans=0.369, 95%CI=0.203 to 0.668, P = 9.96 × 10(−4); OR in Europeans=1.021, 95%CI=0.901 to 1.157, P = 0.745), which suggested that increased level of SERPINA1 will reduce COVID-19 risk in African ancestry. One protein, ICAM1 showed suggestive effect on COVID-19 severity in both ancestries (OR in Europeans=1.152, 95%CI=1.063 to 1.249, P = 5.94 × 10(−4); OR in Africans=1.481, 95%CI=1.008 to 2.176; P = 0.045). The OAS1, SERPINA1 and ICAM1 effects were replicated using updated COVID-19 severity data in the two ancestries respectively, where alternative splicing events in OAS1 and ICAM1 also showed marginal effects on COVID-19 severity in Europeans. The phenome-wide MR of the prioritised targets on 622 complex traits provided information on potential beneficial effects on other diseases and suggested little evidence of adverse effects on major complications. INTERPRETATION: Our study identified six proteins as showing putative causal effects on COVID-19 severity. OAS1 and SERPINA1 were targets of existing drugs in trials as potential COVID-19 treatments. ICAM1, ICAM5 and FCRL3 are related to the immune system. Across the six targets, OAS1 has no reliable instrument in African ancestry; SERPINA1, FCRL3, ICAM5 and ENTPD5 showed a different level of putative causal evidence in European and African ancestries, which highlights the importance of more powerful ancestry-specific GWAS and value of multi-ancestry MR in informing the effects of drug targets on COVID-19 across different populations. This study provides a first step towards clinical investigation of beneficial and adverse effects of COVID-19 drug targets. FUNDING: No

    Exile Vol. XL No. 1

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    38th Year Title Page by Carrie Horner \u2797 i Epigraph by Ezra Pound ii Table of Contents iii-iv Vertigo by Lisa Stillman \u2795 1 Departing Flight by Morgan Roper \u2794 2 Untitled by Lizzie Loud \u2795 3 Marietta by Craig McDonough \u2794 4 Interlaken by Kira A . Pollack \u2794 5 Why Nature Surprises Us by Josh Endicott \u2796 6-7 Untitled by Colin Mack \u2794 7 My Father by Matt Wanat \u2795 8 Legs In The Dust by Alison Stevens \u2795 9-11 Untitled by Lilly Streett \u2794 12 of cigarettes, saltwater and death... by Tricia B. Swearingen \u2794 13 Serendipity by Lizzie Lout \u2795 14 Untitled by Lilly Streett \u2794 15 Summer by Allison Lemieux \u2795 16 And the Rain Fell by Jeremy Aufrance \u2795 17-18 Main Street by Elise Gargarella \u2795 19 Füssen by Morgan Roper \u2794 20 Lightning on the Snow by Matt Wanat \u2795 21 A discussion of 12 year-old murders, of course by Jeremy Aufrance \u2795 22 Get your hands off my hat by Jamie Oliver \u2794 23 The Hero by Sara Sterling Ely \u2796 24-26 Punker Dave by Trevett Allen \u2795 27 still looking for the perfect line by ryan shafer \u2794 28-29 Untitled by Lizzie Loud \u2795 30 Civil War by Katherine Anne Campo \u2794 31 Disposable belief by ryan shafer \u2794 32-33 Schizophrenic Sylvia by Maria Mohiuddin \u2795 34 Excerpts from Revolutions, a novel by Marcu McLaughlin \u2794 35-36 Untitled by Keith Chapman \u2795 37 The Survivors by Kira A. Pollack \u2794 38 Days of Prophecy by Trey Dunham \u2794 39 Untitled by Carrie Horner \u2797 40 What to do by Christopher Harnish \u2794 41 Familiar Stranger by Lisa Stillman \u2795 42-46 Untitled by John Salter \u2797 47 On Meeting Emma by Allison Lemieux \u2795 48 Nude Figure by James Oliver \u2794 49 Tathagata by Leslie Dana Wells \u2794 50 On Fences and My Dogs by Christopher Harnish \u2794 51 Editorial Board 52 Cover, Kira Pollack \u2794 -iv Editorial decision is shared equally among the Editorial Board. -5

    Mass Assembly of Stellar Systems and Their Evolution with the SMA (MASSES)-Full Data Release

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    We present and release the full dataset for the Mass Assembly of Stellar Systems and their Evolution with the SMA (MASSES) survey. This survey used the Submillimeter Array (SMA) to image the 74 known protostars within the Perseus molecular cloud. The SMA was used in two array configurations to capture outflows for scales >>30′′^{\prime\prime} (>>9000 au) and to probe scales down to ∼\sim1′′^{\prime\prime} (∼\sim300 au). The protostars were observed with the 1.3 mm and 850 μ\mum receivers simultaneously to detect continuum at both wavelengths and molecular line emission from CO(2-1), 13^{13}CO(2-1), C18^{18}O(2-1), N2_2D+^+(3-2), CO(3-2), HCO+^+(4-3), and H13^{13}CO+^+(4-3). Some of the observations also used the SMA's recently upgraded correlator, SWARM, whose broader bandwidth allowed for several more spectral lines to be observed (e.g., SO, H2_2CO, DCO+^+, DCN, CS, CN). Of the main continuum and spectral tracers observed, 84% of the images and cubes had emission detected. The median C18^{18}O(2-1) linewidth is ∼\sim1.0 km s−1^{-1}, which is slightly higher than those measured with single-dish telescopes at scales of 3000-20000 au. Of the 74 targets, six are suggested to be first hydrostatic core candidates, and we suggest that L1451-mm is the best candidate. We question a previous continuum detection toward L1448 IRS2E. In the SVS13 system, SVS13A certainly appears to be the most evolved source, while SVS13C appears to be hotter and more evolved than SVS13B. The MASSES survey is the largest publicly available interferometric continuum and spectral line protostellar survey to date, and is largely unbiased as it only targets protostars in Perseus. All visibility (uvuv) data and imaged data are publicly available at https://dataverse.harvard.edu/dataverse/full_MASSES/.Comment: Accepted to ApJ
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