Zobrazeno 1 - 10
of 441
pro vyhledávání: '"William, Gray"'
Publikováno v:
BMJ Open, Vol 14, Iss 2 (2024)
Objectives To assess greenhouse gas (GHG) emissions from a regional hospital laundry unit, and model ways in which these can be reduced.Design A cradle to grave process-based attributional life-cycle assessment.Setting A large hospital laundry unit s
Externí odkaz:
https://doaj.org/article/b1638d3449124bc4ae7b8f0d36ed44b9
Autor:
Hannah Paris Cowley, Michael S. Robinette, Jordan K. Matelsky, Daniel Xenes, Aparajita Kashyap, Nabeela F. Ibrahim, Matthew L. Robinson, Scott Zeger, Brian T. Garibaldi, William Gray-Roncal
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract As clinicians are faced with a deluge of clinical data, data science can play an important role in highlighting key features driving patient outcomes, aiding in the development of new clinical hypotheses. Insight derived from machine learnin
Externí odkaz:
https://doaj.org/article/4301b0e926454aae926de54a99299746
Autor:
Burns, Randal, Perlman, Eric, Baden, Alex, Roncal, William Gray, Falk, Ben, Chandrashekhar, Vikram, Collman, Forrest, Seshamani, Sharmishtaa, Patsolic, Jesse, Lillaney, Kunal, Kazhdan, Michael, Hider Jr., Robert, Pryor, Derek, Matelsky, Jordan, Gion, Timothy, Manavalan, Priya, Wester, Brock, Chevillet, Mark, Trautman, Eric T., Khairy, Khaled, Bridgeford, Eric, Kleissas, Dean M., Tward, Daniel J., Crow, Ailey K., Wright, Matthew A., Miller, Michael I., Smith, Stephen J, Vogelstein, R. Jacob, Deisseroth, Karl, Vogelstein, Joshua T.
Big imaging data is becoming more prominent in brain sciences across spatiotemporal scales and phylogenies. We have developed a computational ecosystem that enables storage, visualization, and analysis of these data in the cloud, thusfar spanning 20+
Externí odkaz:
http://arxiv.org/abs/1804.02835
Autor:
Hannah P. Cowley, Mandy Natter, Karla Gray-Roncal, Rebecca E. Rhodes, Erik C. Johnson, Nathan Drenkow, Timothy M. Shead, Frances S. Chance, Brock Wester, William Gray-Roncal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Rigorous comparisons of human and machine learning algorithm performance on the same task help to support accurate claims about algorithm success rates and advances understanding of their performance relative to that of human performers. In
Externí odkaz:
https://doaj.org/article/d2faa0a8f65b40c6a51806d5207f70b7
Autor:
Reilly, Elizabeth P., Garretson, Jeffrey S., Roncal, William Gray, Kleissas, Dean M., Wester, Brock A., Chevillet, Mark A., Roos, Matthew J.
Neuroscientists are actively pursuing high-precision maps, or graphs, consisting of networks of neurons and connecting synapses in mammalian and non-mammalian brains. Such graphs, when coupled with physiological and behavioral data, are likely to fac
Externí odkaz:
http://arxiv.org/abs/1702.02684
Autor:
Brian S. Robinson, Raphael Norman-Tenazas, Martha Cervantes, Danilo Symonette, Erik C. Johnson, Justin Joyce, Patricia K. Rivlin, Grace Hwang, Kechen Zhang, William Gray-Roncal
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract Insect neural systems are a promising source of inspiration for new navigation algorithms, especially on low size, weight, and power platforms. There have been unprecedented recent neuroscience breakthroughs with Drosophila in behavioral and
Externí odkaz:
https://doaj.org/article/73d0157778d24e44b29bdf6c46162024
Current methods of diagnosis and treatment in the specialty of angiologyVascular Medicine, Second Edition presents the current methods of diagnosis and treatment across the entire specialty of angiology, providing clear guidance on vascular medicine
Autor:
Kiar, Gregory, Gorgolewski, Krzysztof J., Kleissas, Dean, Roncal, William Gray, Litt, Brian, Wandell, Brian, Poldrack, Russel A., Wiener, Martin, Vogelstein, R. Jacob, Burns, Randal, Vogelstein, Joshua T.
Modern technologies are enabling scientists to collect extraordinary amounts of complex and sophisticated data across a huge range of scales like never before. With this onslaught of data, we can allow the focal point to shift towards answering the q
Externí odkaz:
http://arxiv.org/abs/1610.08484
Developing automated and semi-automated solutions for reconstructing wiring diagrams of the brain from electron micrographs is important for advancing the field of connectomics. While the ultimate goal is to generate a graph of neuron connectivity, m
Externí odkaz:
http://arxiv.org/abs/1608.02307
Autor:
Dyer, Eva L., Roncal, William Gray, Fernandes, Hugo L., Gürsoy, Doga, De Andrade, Vincent, Vescovi, Rafael, Fezzaa, Kamel, Xiao, Xianghui, Vogelstein, Joshua T., Jacobsen, Chris, Körding, Konrad P., Kasthuri, Narayanan
Methods for resolving the 3D microstructure of the brain typically start by thinly slicing and staining the brain, and then imaging each individual section with visible light photons or electrons. In contrast, X-rays can be used to image thick sample
Externí odkaz:
http://arxiv.org/abs/1604.03629