Zobrazeno 1 - 10
of 1 376
pro vyhledávání: '"S, Graves"'
Autor:
S. Rahimi, L. Huang, J. Norris, A. Hall, N. Goldenson, W. Krantz, B. Bass, C. Thackeray, H. Lin, D. Chen, E. Dennis, E. Collins, Z. J. Lebo, E. Slinskey, S. Graves, S. Biyani, B. Wang, S. Cropper
Publikováno v:
Geoscientific Model Development, Vol 17, Pp 2265-2286 (2024)
Predicting future climate change over a region of complex terrain, such as the western United States (US), remains challenging due to the low resolution of global climate models (GCMs). Yet the climate extremes of recent years in this region, such as
Externí odkaz:
https://doaj.org/article/22136f160c504b77b5f96b6824286e06
The Islamic world's artistic traditions experienced profound transformation in the 19th century as rapidly developing technologies and globalizing markets ushered in drastic changes in technique, style, and content. Despite the importance and ingenui
Assessment of Upper Extremity Function in Multiple Sclerosis: Feasibility of a Digital Pinching Test
Autor:
Jennifer S Graves, Marcin Elantkowski, Yan-Ping Zhang, Frank Dondelinger, Florian Lipsmeier, Corrado Bernasconi, Xavier Montalban, Luciana Midaglia, Michael Lindemann
Publikováno v:
JMIR Formative Research, Vol 7, p e46521 (2023)
BackgroundThe development of touchscreen-based assessments of upper extremity function could benefit people with multiple sclerosis (MS) by allowing convenient, quantitative assessment of their condition. The Pinching Test forms a part of the Floodli
Externí odkaz:
https://doaj.org/article/128fc2e6b1654d6c8f07e2a05c69ac41
Autor:
Jennifer S. Graves, Marco Ganzetti, Frank Dondelinger, Florian Lipsmeier, Shibeshih Belachew, Corrado Bernasconi, Xavier Montalban, Johan vanBeek, Michael Baker, Christian Gossens, Michael Lindemann
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 10, Iss 2, Pp 166-180 (2023)
Abstract Objective To validate the smartphone sensor‐based Draw a Shape Test – a part of the Floodlight Proof‐of‐Concept app for remotely assessing multiple sclerosis‐related upper extremity impairment by tracing six different shapes. Metho
Externí odkaz:
https://doaj.org/article/95744f757b8d45baa7eaa90ba0d469d1
Autor:
Margaret S. Graves
The art of the object reached unparalleled heights in the medieval Islamic world, yet the intellectual dimensions of ceramics, metalwares, and other plastic arts in this milieu have not always been acknowledged. Arts of Allusion reveals the object as
Autor:
Jacqueline E. Shanley, Andrew F. Valenciano, Garrett Timmons, Annalise E. Miner, Visesha Kakarla, Torge Rempe, Jennifer H. Yang, Amanda Gooding, Marc A. Norman, Sarah J. Banks, Michelle L. Ritter, Ronald J. Ellis, Lucy Horton, Jennifer S. Graves
Publikováno v:
Annals of Clinical and Translational Neurology, Vol 9, Iss 7, Pp 995-1010 (2022)
Abstract Objective To assess the initial features and evolution of neurologic Postacute Sequelae of SARS‐CoV‐2 infection (neuro‐PASC) in patients with and without prior neurologic disease. Methods Participants with neurologic symptoms following
Externí odkaz:
https://doaj.org/article/4a473a328de34fc28028975d27e9d614
Autor:
Michael D. Abràmoff, Cybil Roehrenbeck, Sylvia Trujillo, Juli Goldstein, Anitra S. Graves, Michael X. Repka, Ezequiel “Zeke” Silva III
Publikováno v:
npj Digital Medicine, Vol 5, Iss 1, Pp 1-6 (2022)
Responsible adoption of healthcare artificial intelligence (AI) requires that AI systems which benefit patients and populations, including autonomous AI systems, are incentivized financially at a consistent and sustainable level. We present a framewo
Externí odkaz:
https://doaj.org/article/f43164895a1a46d5b08f31a3460a184b
Publikováno v:
AI, Vol 3, Iss 2, Pp 274-284 (2022)
We present a deep learning-based generative model for the enhancement of partially coherent diffractive images. In lensless coherent diffractive imaging, a highly coherent X-ray illumination is required to image an object at high resolution. Non-idea
Externí odkaz:
https://doaj.org/article/331f3985fd1248a897e4cd989bb0b84d
Publikováno v:
AI, Vol 3, Iss 2, Pp 318-330 (2022)
We present a supervised deep neural network model for phase retrieval of coherent X-ray imaging and evaluate the performance. A supervised deep-learning-based approach requires a large amount of pre-training datasets. In most proposed models, the var
Externí odkaz:
https://doaj.org/article/3617da237b01483f8e9f231756d74da6
Autor:
Scott S. Graves, Rainer Storb
Publikováno v:
Veterinary Medicine and Science, Vol 7, Iss 6, Pp 2156-2171 (2021)
Abstract Pre‐clinical haematopoietic cell transplantation (HCT) studies in canines have proven to be invaluable for establishing HCT as a highly successful clinical option for the treatment of malignant and non‐malignant haematological diseases i
Externí odkaz:
https://doaj.org/article/d270e6c7822e4b129576c86994021aca