Zobrazeno 1 - 10
of 232 635
pro vyhledávání: '"Barrett A"'
Publikováno v:
Infection and Drug Resistance, Vol Volume 16, Pp 7141-7154 (2023)
Clairissa A Hansen,1 J Erin Staples,2 Alan DT Barrett1 1Department of Pathology and Sealy Institute for Vaccine Sciences, University of Texas Medical Branch, Galveston, TX, 77555-4036, USA; 2Arboviral Diseases Branch, U.S. Centers for Disease Control
Externí odkaz:
https://doaj.org/article/6a8ffee951194fd6966ac00b70cf5a19
Autor:
Javier C Urcuyo, Lee Curtin, Jazlynn M Langworthy, Gustavo De Leon, Barrett Anderies, Kyle W Singleton, Andrea Hawkins-Daarud, Pamela R Jackson, Kamila M Bond, Sara Ranjbar, Yvette Lassiter-Morris, Kamala R Clark-Swanson, Lisa E Paulson, Chris Sereduk, Maciej M Mrugala, Alyx B Porter, Leslie Baxter, Marcela Salomao, Kliment Donev, Miles Hudson, Jenna Meyer, Qazi Zeeshan, Mithun Sattur, Devi P Patra, Breck A Jones, Rudy J Rahme, Matthew T Neal, Naresh Patel, Pelagia Kouloumberis, Ali H Turkmani, Mark Lyons, Chandan Krishna, Richard S Zimmerman, Bernard R Bendok, Nhan L Tran, Leland S Hu, Kristin R Swanson
Publikováno v:
PLoS ONE, Vol 18, Iss 12, p e0287767 (2023)
Brain cancers pose a novel set of difficulties due to the limited accessibility of human brain tumor tissue. For this reason, clinical decision-making relies heavily on MR imaging interpretation, yet the mapping between MRI features and underlying bi
Externí odkaz:
https://doaj.org/article/9e0a2b9676eb4c9582d28ead00177ffa
Publikováno v:
Journal of Multidisciplinary Healthcare, Vol Volume 14, Pp 2137-2150 (2021)
Caitlin Brandenburg,1,2 Christy Noble,1,3,4 Rachel Wenke,1,5 Ian Hughes,1 Anthony Barrett,1 Jeremy Wellwood,1 Sharon Mickan1,2 1Clinical Governance, Education and Research, Gold Coast Hospital and Health Service, Southport, QLD, Australia; 2Faculty o
Externí odkaz:
https://doaj.org/article/d26d7324c4de4d4b862bd4014ae57f01
Autor:
Nasrallah, S., Santos-Cottin, D., Mardele, F. Le, Mohelsky, I., Wyzula, J., Aksamovic, L., Sacer, P., Barrett, J. W. H., Galloway, W., Rigaux, K., Guo, F., Puppin, M., Zivkovic, I., Dil, J. H., Novak, M., Barisic, N., Homes, C. C., Orlita, M., Akrap, Ana
In this study, we identify EuCd2X2 (for X = P, As, Sb) as a series of magnetic semiconductors. We examine how the band gap of the series responds to X changing from phosphorus (P), to arsenic (As), and finally antimony (Sb). We characterize the sampl
Externí odkaz:
http://arxiv.org/abs/2409.18722
Autor:
Schrecengost, Zachariah S., Hejazine, Seif, Barrett, Jordan V., Démery, Vincent, Paulsen, Joseph D.
We study the deformation of a liquid interface with arbitrary principal curvatures by a flat circular sheet. We use the membrane limit, where the sheet is inextensible yet free to bend and compress, and restrict ourselves to small slopes. We find tha
Externí odkaz:
http://arxiv.org/abs/2409.13042
Recent advancements in state-of-the-art (SOTA) Large Language Model (LLM) agents, especially in multi-turn dialogue tasks, have been primarily driven by supervised fine-tuning and high-quality human feedback. However, as base LLM models continue to i
Externí odkaz:
http://arxiv.org/abs/2409.04617
Autor:
Cattaneo, Alberto, Bonner, Stephen, Martynec, Thomas, Luschi, Carlo, Barrett, Ian P, Justus, Daniel
Knowledge Graph Completion has been increasingly adopted as a useful method for several tasks in biomedical research, like drug repurposing or drug-target identification. To that end, a variety of datasets and Knowledge Graph Embedding models has bee
Externí odkaz:
http://arxiv.org/abs/2409.04103
Building on VeriX (Verified eXplainability, arXiv:2212.01051), a system for producing optimal verified explanations for machine learning model outputs, we present VeriX+, which significantly improves both the size and the generation time of verified
Externí odkaz:
http://arxiv.org/abs/2409.03060
Home repair and installation services require technicians to visit customers and resolve tasks of different complexity. Technicians often have heterogeneous skills and working experiences. The geographical spread of customers makes achieving only per
Externí odkaz:
http://arxiv.org/abs/2409.01815
Autor:
Arnold, K. J., Barrett, M. D.
We present a numerical method for extrapolating polarizability measurements to dc as done in the assessment of blackbody radiation shifts for ion-based clocks. The method explicitly accounts for the frequency dependence of relevant atomic transitions
Externí odkaz:
http://arxiv.org/abs/2409.01476