Zobrazeno 1 - 10
of 567
pro vyhledávání: '"D. Amos"'
Autor:
Yehuda Shoenfeld, Juri Kopolovic, D. Amos Korczyn, Joab Chapman, Iris Goldberg, Lea Ziporen, Arnon Afek, Sylvia Polak-Charcon
Publikováno v:
Clinical and Developmental Immunology, Vol 11, Iss 1, Pp 67-75 (2004)
Externí odkaz:
https://doaj.org/article/a5b212d71d0f4ac2883bb9c6545aab85
Autor:
Jaleesia D. Amos, Zhao Zhang, Yuan Tian, Gregory V. Lowry, Mark R. Wiesner, Christine Ogilvie Hendren
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract Predicting and elucidating the impacts of materials on human health and the environment is an unending task that has taken on special significance in the context of nanomaterials research over the last two decades. The properties of material
Externí odkaz:
https://doaj.org/article/1063b45ae87243269d41dd1b432ec1df
Autor:
Joana Marie Sipe, Jaleesia D. Amos, Robert F. Swarthout, Amalia Turner, Mark R. Wiesner, Christine Ogilvie Hendren
Publikováno v:
Microplastics and Nanoplastics, Vol 3, Iss 1, Pp 1-13 (2023)
Abstract A majority of American adults report having used sex toys, which, by design, interact with intimate and permeable body parts yet have not been subject to sufficient risk assessment or management. Physical and chemical data are presented exam
Externí odkaz:
https://doaj.org/article/a1a94db6fa0a4aeab36af363a9efe3fd
Autor:
Thomas E. Exner, Anastasios G. Papadiamantis, Georgia Melagraki, Jaleesia D. Amos, Nathan Bossa, Georgios P. Gakis, Costas A. Charitidis, Geert Cornelis, Anna L. Costa, Philip Doganis, Lucian Farcal, Steffi Friedrichs, Irini Furxhi, Frederick C. Klaessig, Vladimir Lobaskin, Dieter Maier, John Rumble, Haralambos Sarimveis, Blanca Suarez-Merino, Socorro Vázquez, Mark R. Wiesner, Antreas Afantitis, Iseult Lynch
Publikováno v:
Frontiers in Physics, Vol 11 (2023)
Introduction: Significant progress has been made in terms of best practice in research data management for nanosafety. Some of the underlying approaches to date are, however, overly focussed on the needs of specific research projects or aligned to a
Externí odkaz:
https://doaj.org/article/66e8515b65914b28844b1458c53ac6c2
Publikováno v:
Nanomaterials, Vol 13, Iss 12, p 1832 (2023)
We analyse the efficacy of machine learning (ML) interatomic potentials (IP) in modelling gold (Au) nanoparticles. We have explored the transferability of these ML models to larger systems and established simulation times and size thresholds necessar
Externí odkaz:
https://doaj.org/article/7f12ba97493c4fdba6a64d55543c1466
Autor:
Manuel Lorenzo, Heather M Grossman Verner, Brian A Figueroa, Marcos Salgado Crespo, Joseph D Amos
Publikováno v:
Trauma Surgery & Acute Care Open, Vol 6, Iss 1 (2021)
Background Uncompensated care (UC) is healthcare provided with no payment from the patient or an insurance provider. UC directly contributes to escalating healthcare costs in the USA and potentially impacts patient care. In Texas, there has been a st
Externí odkaz:
https://doaj.org/article/6cddd7ef4b0e4cb39d1eb9018d2bd147
Autor:
Marco Fronzi, Roger D. Amos, Rika Kobayashi, Naoki Matsumura, Kenta Watanabe, Rafael K. Morizawa
Publikováno v:
Nanomaterials, Vol 12, Iss 21, p 3891 (2022)
We have investigated Machine Learning Interatomic Potentials in application to the properties of gold nanoparticles through the DeePMD package, using data generated with the ab-initio VASP program. Benchmarking was carried out on Au20 nanoclusters ag
Externí odkaz:
https://doaj.org/article/d6d9f40103dc45f0a5bb8b134726c012
Autor:
Bellal, Joseph, Abdul Tawab, Saljuqi, Joseph D, Amos, Amanda, Teichman, Melissa L, Whitmill, Tanya, Anand, Hamidreza, Hosseinpour, Sigrid K, Burruss, Julie A, Dunn, Kaveh, Najafi, Laura N, Godat, Toby M, Enniss, Thomas H, Shoultz, Tanya, Egodage, Tasce, Bongiovanni, Joshua P, Hazelton, Kristin P, Colling, Todd W, Costantini, Deborah M, Stein, Thomas J, Schroeppel, Jeffry, Nahmias, Jonathan, Thomas
Publikováno v:
Journal of Trauma and Acute Care Surgery. 94:36-44
The frailty index is a known predictor of adverse outcomes in geriatric patients. Trauma-Specific Frailty Index (TSFI) was created and validated at a single center to accurately identify frailty and reliably predict worse outcomes among geriatric tra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5cc341457101167ce0f00592351624bf
https://doi.org/10.1097/ta.0000000000003817
https://doi.org/10.1097/ta.0000000000003817
Publikováno v:
Nanomaterials; Volume 13; Issue 12; Pages: 1832
We analyse the efficacy of machine learning (ML) interatomic potentials (IP) in modelling gold (Au) nanoparticles. We have explored the transferability of these ML models to larger systems and established simulation times and size thresholds necessar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::33dffeb71811fd668ed9ad861bd7b467
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