Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Tom Lehman"'
Autor:
Tom Lehman
Publikováno v:
Advances in Physiology Education.
Urine formation in the nephron can be a very intimidating concept to students. This straightforward activity, performed by the students during the nephron lecture, can help enforce the concepts as they uncover the structures and functions involved in
Autor:
Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Rebecca Totzke, Katerina Antypas, William Arndt, Johannes Blaschke, Suren Byna, Rav Cheema, Shreyas Cholia, Mark Day, Bjoern Enders, Aditi Gaur, Annette Greiner, Taylor Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin Thomas, Gabor Torok
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b54e0f91dbda984cfb167dde4306597
https://doi.org/10.2172/1875256
https://doi.org/10.2172/1875256
Publikováno v:
2022 IFIP Networking Conference (IFIP Networking).
Autor:
Anita Nikolich, Paul Ruth, Kuang-Ching Wang, Tom Lehman, Indermohan Inder S. Monga, Ilya Baldin, James Griffioen, Ewa Deelman
Publikováno v:
IEEE Internet Computing, vol 23, iss 6
FABRIC is a unique national research infrastructure to enable cutting-edge and exploratory research at-scale in networking, cybersecurity, distributed computing and storage systems, machine learning, and science applications. It is an everywhere-prog
Autor:
Atul Deodhar, Miroslawa Nowak, June Ye, Tom Lehman, Lan Wei, Subhashis Banerjee, Philip J. Mease
Publikováno v:
Journal of the American Academy of Dermatology. 87:AB156
Autor:
Chin Guok, Jim Chen, Joe Mambretti, Se-young Yu, Xi Yang, John MacAuley, Wenji Wu, R. Illingworth, Liang Zhang, Inder Monga, Tom Lehman, Qiming Lu, Phil DeMar
Publikováno v:
INDIS@SC
Increasingly, scientific research discovery depends on the analysis of extremely large amounts of data. This data is gathered through very large scientific instruments, very large numbers of small devices, and mid-scale instruments. These devices gen
Autor:
J Balcas, Inder Monga, Tom Lehman, Xi Yang, Chin Guok, Linda Winkler, Harvey B Newman, John MacAuley, Alex Sim, Phil DeMar
Domain science applications and workflow processes are currently forced to view the network as an opaque infrastructure into which they inject data and hope that it emerges at the destination with an acceptable Quality of Experience. There is little
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1f5faa522d324b9391d332d36f6cbaa
https://escholarship.org/uc/item/61q1d1bk
https://escholarship.org/uc/item/61q1d1bk
Autor:
Alex Sim, Phil DeMar, Harvey B Newman, John MacAuley, Chin Guok, Linda Winkler, J Balcas, Inder Monga, Xi Yang, Tom Lehman
Publikováno v:
INDIS@SC
The Software-defined network for End-to-end Networked Science at Exascale (SENSE) research project is building smart network services to accelerate scientific discovery in the era of 'big data' driven by Exascale, cloud computing, machine learning an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5a677c5919b4c196ebeb677bcfcad7d1
https://escholarship.org/uc/item/5dk3195q
https://escholarship.org/uc/item/5dk3195q
Publikováno v:
AI-Science@HPDC
Today's scientific computing applications and workflows operate on heterogeneous and vastly distributed infrastructures. Traditional human-in-the-loop service engineering approach met its insurmountable challenge in dealing with these very complex an