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Keeping Federal Data Secure.

• Authors : Jensen, Matthew

Subjects: ELECTRONIC filing of tax returns; DATA security failures; UNITED States economy

• Source: National Affairs; Spring2024, Issue 59, p29-44, 15p

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Benign Breast Disease and Breast Cancer Risk in the Percutaneous Biopsy Era

• Authors : Sherman, Mark E.; Vierkant, Robert A.; Winham, Stacey J.

• Source: JAMA Surgery; February 2024, Vol. 159 Issue: 2 p193-201, 9p

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A simple measure of the distributional burden of debt.

• Authors : Gorry, Aspen; Jensen, Matthew H.

• Source: Tax Notes. 2012, Vol. 137, Issue 10, pages. 1113-1119

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Using an elaboration likelihood approach to better understand the persuasiveness of website privacy assurance cues for online consumers.

• Authors : Lowry, Paul Benjamin; Moody, Greg; Vance, Anthony

• Source: Journal of the American Society for Information Science and Technology. 2012, Vol. 63, Issue 4, pages. 755-776

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Engaging the learner: gamification strives to keep the user's interest: contextual game design must put the player experience first.

• Authors : Jensen, Matthew

• Source: T+D. 2012, Vol. 66, Issue 1, pages. 5

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Corporate tax burden on labor: theory and empirical evidence.

• Authors : Jensen, Matthew H.; Mathur, Aparna

• Source: Tax Notes. 2011, Vol. 131, Issue 10, pages. 1083-1089

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Deep Learning Predicts Interval and Screening-detected Cancer from Screening Mammograms: A Case-Case-Control Study in 6369 Women

• Authors : Zhu, Xun; Wolfgruber, Thomas K.; Leong, Lambert

• Source: Radiology; December 2021, Vol. 301 Issue: 3 p550-558, 9p

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Fully Automated Volumetric Breast Density Estimation from Digital Breast Tomosynthesis

• Authors : Gastounioti, Aimilia; Pantalone, Lauren; Scott, Christopher G.

• Source: Radiology; December 2021, Vol. 301 Issue: 3 p561-568, 8p

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Tree Love: Street Trees and Stewardship in New York City.

• Authors : López-Jensen, Matthew

Subjects: PORTRAITS; URBAN trees

• Source: Terrain.org: A Journal of the Built + Natural Environments; 7/27/2021, p1-19, 19p

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Evaluation of LIBRA Software for Fully Automated Mammographic Density Assessment in Breast Cancer Risk Prediction

• Authors : Gastounioti, Aimilia; Kasi, Christine Damases; Scott, Christopher G.

• Source: Radiology; July 2020, Vol. 296 Issue: 1 p24-31, 8p

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