Zobrazeno 1 - 10 of 199 pro vyhledávání: '"Thomas, Templin"'
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Akademický článek
Moderating Effect of Depression on Glycemic Control in an eHealth Intervention Among Black Youth With Type 1 Diabetes: Findings From a Multicenter Randomized Controlled Trial
Autor: Deborah Ellis, April Idalski Carcone, Thomas Templin, Meredyth Evans, Jill Weissberg-Benchell, Colleen Buggs-Saxton, Claudia Boucher-Berry, Jennifer L Miller, Tina Drossos, M Bassem Dekelbab
Publikováno v: JMIR Diabetes, Vol 9, p e55165 (2024)
BackgroundBlack adolescents with type 1 diabetes (T1D) are at increased risk for suboptimal diabetes health outcomes; however, evidence-based interventions for this population are lacking. Depression affects a high percentage of youth with T1D and in
Externí odkaz: https://doaj.org/article/e75f3bc29f6b4fee8e929d064263d64d
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2
Akademický článek
Anomaly detection in aeronautics data with quantum-compatible discrete deep generative model
Autor: Thomas Templin, Milad Memarzadeh, Walter Vinci, P Aaron Lott, Ata Akbari Asanjan, Anthony Alexiades Armenakas, Eleanor Rieffel
Publikováno v: Machine Learning: Science and Technology, Vol 4, Iss 3, p 035018 (2023)
Deep generative learning cannot only be used for generating new data with statistical characteristics derived from input data but also for anomaly detection, by separating nominal and anomalous instances based on their reconstruction quality. In this
Externí odkaz: https://doaj.org/article/55bd30e2583e4674b52eab9e6be76b29
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3
Semi-Supervised Active Learning for Anomaly Detection in Aviation
Autor: Milad Memarzadeh, Bryan Matthews, Thomas Templin, Aida Sharif Rohani, Daniel Weckler
Publikováno v: Journal of Aerospace Information Systems. 20:181-194
Anomaly detection in commercial aviation is an extremely challenging yet crucial task. Accurately detecting operationally significant anomalies can save civilian lives and/or result in significant savings in maintenance cost. The current practice use
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94a93c2b61b6f02dbf4ca5da65ba9497
https://doi.org/10.2514/1.i011083
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5
Perceived Hearing Impairment in a Rural Community
Autor: Debra L. Schutte, Elizabeth S. Jenuwine, Thomas Templin, Brian C. Schutte
Publikováno v: Research in Gerontological Nursing. 16:21-32
CoSAGE Community Advisory and Ethics Committee; Age-related hearing impairment yields many negative outcomes, including alterations in mental health, functional impairments, and decreased social engagement. The purpose of the current study was to exa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bb68c6936d564b4833e7ed5f85237ae4
https://doi.org/10.3928/19404921-20230104-04
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6
Psychosocial Factors and Telomere Length Among Parents and Infants of Immigrant Arab American Families
Autor: Dalia Khalil, Carmen Giurgescu, Dawn P. Misra, Thomas Templin, Elizabeth Jenuwine, Stacy S. Drury
Publikováno v: Biological Research For Nursing. 25:137-149
Background: Immigrant Arab American families face multiple stressors related to migration and resettlement. Telomere length (TL) is an established biomarker of aging and psychosocial stress. No published studies have concurrently examined the associa
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9863360f128e32d290fb31884b2d82a3
https://doi.org/10.1177/10998004221124145
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7
Acculturative Stress and Postpartum Depressive Symptoms among Immigrant Arab American Couples
Autor: Dalia, Khalil, Carmen, Giurgescu, Dawn P, Misra, Arash, Javanbakht, Thomas, Templin, Elizabeth, Jenuwine
Publikováno v: MCN: The American Journal of Maternal/Child Nursing. 47:92-99
The purpose of this study was to examine the relationships between acculturative stress, perceived stress, social support, and postpartum depression (PPD) symptoms among immigrant Arab American couples.Using a cross-sectional design, 30 Arab American
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4138a3c27649a18803ec95bf8a9d0a5
https://doi.org/10.1097/nmc.0000000000000804
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8
Multiclass Anomaly Detection in Flight Data Using Semi-Supervised Explainable Deep Learning Model
Autor: Bryan Matthews, Thomas Templin, Milad Memarzadeh
Publikováno v: Journal of Aerospace Information Systems. 19:83-97
The identification of precursors to safety incidents in aviation data is a crucial task, yet extremely challenging. The main approach in practice leverages domain expertise to define expected toler...
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9e19871926730813275f21603e9bb37d
https://doi.org/10.2514/1.i010959
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