Mini-Combust—An Open-Source Unstructured FGM Combustion Mini-App for Co-Designing Aero-Engines at Extreme Scale

Authors: Curtis, Samuel, Waugh, Harry, Deakin, Tom, Mudalige, Gihan R.

Source: 2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC) HIPC High Performance Computing, Data, and Analytics (HiPC), 2024 IEEE 31st International Conference on. :199-209 Dec, 2024

Relation: 2024 IEEE 31st International Conference on High Performance Computing, Data, and Analytics (HiPC)

The MAIEI Learning Community Report

Authors: Wills, Brittany, Isaicu, Christina, von Stackelberg, Heather, Ibrahim, Lujain, Hutson, Matthew, Fleming, Mitchel, Narayanamoorthy, Nanditha, Curtis, Samuel, Paudel, Shreyasha, Trejo, Sofia, Zevallos, Tiziana, del Campo, Victoria Martín, Lee, Wilson

Subject Terms: Computer Science - Computers and Society, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2112.01531

Injectable, Drug-Eluting Nanocrystals Prevent Fibrosis and Stricture Formation In Vivo

Authors: Li, Ling, Shapiro, Rachel L., Joo, Min Kyung, Josyula, Aditya, Hsueh, Henry T., Gutierrez, Olaya Brewer, Halpert, Gilad, Akshintala, Venkata, Chen, Haiming, Curtis, Samuel, Better, Marina, Davison, Charlotte, Hu, Haijie, Almario, Jose Antonio Navarro, Steinway, Steven N., Hunt, Kelton, Del Sesto, Rico E., Izzi, Jessica, Salimian, Kevan J., Ensign, Laura M., Selaru, Florin M.

Source: In Gastroenterology May 2023 164(6):937-952

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Bridging the trust gaps in biometrics

Authors: Curtis, Samuel, Belli, Delfina, Alanoca, Sacha, Bora, Adriana, Miailhe, Nicolas, Lannquist, Yolanda

Source: In Biometric Technology Today March 2021 2021(3):5-8

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Open Source Software for the Real-Time Control, Processing, and Visualization of High-Volume Electrochemical Data

Authors: Curtis, Samuel D., Ploense, Kyle L., Kurnik, Martin, Ortega, Gabriel, Parolo, Claudio, Kippin, Tod E., Plaxco, Kevin W., Arroyo-Currás, Netzahualcóyotl

Source: Analytical chemistry. 91(19):12321-12328

Availability: http://explore.bl.uk/primo_library/libweb/action/display.do?tabs=detailsTab&gathStatTab=true&ct=display&fn=search&doc=ETOCRN621809529&indx=1&recIds=ETOCRN621809529

Machine learning to detect the SINEs of cancer.

Authors: Douville, Christopher, Lahouel, Kamel, Kuo, Albert, Grant, Haley, Avigdor, Bracha Erlanger, Curtis, Samuel D., Summers, Mahmoud, Cohen, Joshua D., Wang, Yuxuan, Mattox, Austin, Dudley, Jonathan, Dobbyn, Lisa, Popoli, Maria, Ptak, Janine, Nehme, Nadine, Silliman, Natalie, Blair, Cherie, Romans, Katharine, Thoburn, Christopher, Gizzi, Jennifer

Source: Science Translational Medicine; 1/24/2024, Vol. 16 Issue 731, p1-12, 12p

Subject Terms: MACHINE learning, WHOLE genome sequencing, EARLY detection of cancer, CELL-free DNA, GENE amplification

The Impact of HMOs on Hospital-Based Uncompensated Care

Authors: Thorpe, Kenneth E., Seiber, Eric E, Florence, Curtis Samuel

Source: Journal of Health Politics, Policy and Law. 26(3):543-555

Availability: https://muse.jhu.edu/article/15583

Education in Agriculture for the Educationally Disadvantaged. Final Report. Teacher Education Research Series, Volume 15, Number 1.

Authors: Curtis, Samuel M., Pennsylvania State Univ., University Park. Dept. of Agricultural Education.

Peer Reviewed: N

Page Count: 51

Sponsoring Agency: Pennsylvania Research Coordinating Unit for Vocational Education, Harrisburg.

Descriptors: Agricultural Education, Curriculum Development, Curriculum Evaluation, Educationally Disadvantaged, Material Development, Occupational Information, Student Evaluation, Teacher Improvement

Geographic Terms: Pennsylvania