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    Saint Vincent College

    院校EST. 1846
    256论文总数
    2,430引用总数

    Saint Vincent College is a private Benedictine college in Latrobe, Pennsylvania. Founded in 1846 by Boniface Wimmer, a monk from Bavaria, it is operated by the Benedictine monks of Saint Vincent Archabbey, the first Benedictine monastery in the United States, which was also founded by Wimmer.

    论文量&引用量时间轴

    机构学者

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    Michael J. Urick
    Michael J. Urick
    St Vincent Coll, Latrobe, PA USA
    论文:12引用:0H-index:0
    Susan Mitchell Sommers
    Susan Mitchell Sommers
    Department of History, Saint Vincent College
    论文:9引用:0H-index:0
    Mary Regina Boland
    Mary Regina Boland
    Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania
    论文:7引用:0H-index:0
    Timothy Kelly
    Timothy Kelly
    Saint Vincent College
    论文:7引用:0H-index:0
    Tina Phillips Johnson
    Tina Phillips Johnson
    Department of History, Saint Vincent College
    论文:6引用:0H-index:0
    Cynthia J. Martincic
    Cynthia J. Martincic
    Computing and Information Science Department, Saint Vincent College
    论文:5引用:0H-index:0
    Jeffrey L. Godwin
    Jeffrey L. Godwin
    Alex G. McKenna School of Business, Economics, and Government, Saint Vincent College
    论文:5引用:0H-index:0
    Harvey Jessica
    Harvey Jessica
    Department of Communication, Saint Vincent College
    论文:5引用:0H-index:0
    Jason King
    Jason King
    St Vincent Coll, Latrobe, PA 15650 USA
    论文:5引用:0H-index:0

    论文(257)

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    1IRIS: Interpretable Risk Clustering Intelligence for Survival Analysis
    Kazi Noshin,Bojian Hou,Mary Regina Boland, Zixuan Wen, Boning Tong,Li Shen,Aidong Zhang

    Survival analysis models have evolved significantly with deep learning approaches, yet often lack interpretability and meaningful risk stratification capabilities. We present Interpretable Risk Clustering Intelligence for Survival Analysis (IRIS), a novel framework that addresses the critical task of risk clustering while enhancing both input-level and model-body interpretability. Unlike traditional survival models that perform post-hoc risk clustering, IRIS learns to cluster patients into meaningful risk groups directly from data while providing transparent feature importance estimation through feature contribution functions. We validate IRIS on several benchmark datasets, a real-world Alzheimer's disease dataset, and an electronic health record dataset, showing superior performance in risk clustering and predictive reliability with only a modest decrease in time-toevent prediction accuracy compared to state-of-the-art methods. Our results show that IRIS successfully balances the trade-off between interpretability and prediction performance in riskbased survival analysis, offering clinicians actionable insights for treatment planning and resource allocation.

    2026Proceedings IEEE International Conference on Big Data IEEE International Conference on Big Data(2026)
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    2Leader Reflexivity As Reflection on the Normative Paradox of Management Education
    Dirk C. Moosmayer, Matthias Philip Huehn, Anne Sebastian-Fischer
    2026Academy of Management Proceedings(2026)
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    3Environmental Justice Indicators and Endometrial Cancer Incidence: Associations with Water Quality, Walkability and Tumor Molecular Profiles
    Caroline Shermoen, Camille McCallister, Sneha Kadiyala, Anna Liu, Nathan Koelper,Ronny Drapkin,Mary Regina Boland, Anna Jo Smith,Emily Ko
    2026GYNECOLOGIC ONCOLOGY(2026)
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    4P-728. Chlamydia and Gonorrhea Infections Are Associated with Hypertensive Disorders of Pregnancy
    Kaitlyn Broderick, Ellen Caniglia, Mary Regina Boland, Alisa J Stephens Shields

    Hypertensive disorders of pregnancy (HDP) are a leading cause of maternal morbidity and mortality in the U.S. Bacterial sexually transmitted infections (STIs), such as Chlamydia trachomatis and Neisseria gonorrhoeae, may contribute to HDP through infection-induced inflammation affecting placental development. Evidence for this association remains limited, particularly in urban U.S. populations with routine STI screening. We performed a retrospective cohort study using electronic medical records from two Penn Medicine hospitals in Philadelphia. We identified singleton deliveries from 2010–2022 with chlamydia/gonorrhea testing before 20 weeks gestation. The primary exposure was a positive initial test for chlamydia and/or gonorrhea. The primary outcome was HDP, defined as a composite of gestational hypertension, preeclampsia, eclampsia, or superimposed preeclampsia, based on ICD-9/10 codes. Multivariable logistic regression with generalized estimating equations adjusted for sociodemographic and clinical covariates. Among 25,387 pregnancies, 2.7% had a positive initial STI test. HDP occurred in 31.6% of the cohort. A positive initial STI test was associated with increased odds of HDP (adjusted odds ratio [aOR]: 1.23; 95% CI: 1.04–1.46). The association was driven largely by gestational hypertension (aOR: 1.21; 95% CI: 1.01–1.44). Chlamydia alone was significantly associated with HDP (aOR: 1.23; 95% CI: 1.03–1.47). Gonorrhea showed a similar but non-significant trend (aOR: 1.29; 95% CI: 0.84–1.99). No associations were observed for preterm birth or severe maternal morbidity. Findings were consistent in sensitivity analyses. Early pregnancy diagnosis of chlamydia and possibly gonorrhea is associated with increased risk of HDP. These findings support further research into the role of maternal infection in HDP pathogenesis and may inform STI screening policies in pregnancy. All Authors: No reported disclosures

    2026Open Forum Infectious Diseases(2026)
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    5Intersectionality, Identity, and Community Conversion
    Mary Beth Yount

    The heuristic method posited by Bernard Lonergan, S. J., can convey knowing and doing as a continual dynamic process that, when placed in dialogue with Kimberlé W. Crenshaw’s notion of intersectionality, centers the relational character of self- knowing, appropriation, and self- identity in the context of communal conversion. Lonergan’s method, centering on the “good of order,” reveals the continual construction of subjects and the structures impacting— and being shaped by— those subjects. Wonder, noticing, insight, and conversion are all processes with communal implications. The lens of intersectional analysis can aid us in both understanding identity development and formulating action plans for the transformation of movements and structures, including religious, social, economic, and political systems.

    2026Religious Studies and Theology(2026)
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