Zobrazeno 1 - 10
of 12 912
pro vyhledávání: '"Wildman A"'
Autor:
Wang, Feiran, Cooper, Nathan, He, Yinfeng, Hopton, Benjamin, Johnson, David, Zhao, Peng, Fromhold, T. Mark, Tuck, Christopher J., Hague, Richard, Wildman, Ricky D., Turyanska, Lyudmila, Hackermüller, Lucia
Atomic vapour cells are an indispensable tool for quantum technologies (QT), but potential improvements are limited by the capacities of conventional manufacturing methods. Using an additive manufacturing (AM) technique - vat polymerisation by digita
Externí odkaz:
http://arxiv.org/abs/2406.15255
Autor:
Kadan, Amit, Ryczko, Kevin, Wildman, Andrew, Wang, Rodrigo, Roitberg, Adrian, Yamazaki, Takeshi
We present a high-throughput, end-to-end pipeline for organic crystal structure prediction (CSP) -- the problem of identifying the stable crystal structures that will form from a given molecule based only on its molecular composition. Our tool uses N
Externí odkaz:
http://arxiv.org/abs/2308.01993
Autor:
Agaz H. Wani, Seyma Katrinli, Xiang Zhao, Nikolaos P. Daskalakis, Anthony S. Zannas, Allison E. Aiello, Dewleen G. Baker, Marco P. Boks, Leslie A. Brick, Chia-Yen Chen, Shareefa Dalvie, Catherine Fortier, Elbert Geuze, Jasmeet P. Hayes, Ronald C. Kessler, Anthony P. King, Nastassja Koen, Israel Liberzon, Adriana Lori, Jurjen J. Luykx, Adam X. Maihofer, William Milberg, Mark W. Miller, Mary S. Mufford, Nicole R. Nugent, Sheila Rauch, Kerry J. Ressler, Victoria B. Risbrough, Bart P. F. Rutten, Dan J. Stein, Murray B. Stein, Robert J. Ursano, Mieke H. Verfaellie, Eric Vermetten, Christiaan H. Vinkers, Erin B. Ware, Derek E. Wildman, Erika J. Wolf, Caroline M. Nievergelt, Mark W. Logue, Alicia K. Smith, Monica Uddin
Publikováno v:
BMC Medical Genomics, Vol 17, Iss 1, Pp 1-14 (2024)
Abstract Background Incorporating genomic data into risk prediction has become an increasingly popular approach for rapid identification of individuals most at risk for complex disorders such as PTSD. Our goal was to develop and validate Methylation
Externí odkaz:
https://doaj.org/article/71292b89b7524386adcc89a2a04c6480
Autor:
Rask, Alan E., Huntington, Lee, Kim, SungYeon, Walker, David, Wildman, Andrew, Wang, Rodrigo, Hazel, Nicole, Judi, Alan, Pegg, James T., Jha, Punit K., Mayimfor, Zara, Dukatz, Carl, Naseri, Hassan, Gleiser, Ilan, Hugues, Maxime R., Zimmerman, Paul M., Zaribafiyan, Arman, Plesch, Rudi, Yamazaki, Takeshi
Accurate solutions to the electronic Schr\"odinger equation can provide valuable insight for electron interactions within molecular systems, accelerating the molecular design and discovery processes in many different applications. However, the availa
Externí odkaz:
http://arxiv.org/abs/2307.10675
Autor:
Sarah M Goodday, Emma Karlin, Alexa Brooks, Carol Chapman, Christiana Harry, Nelly Lugo, Shannon Peabody, Shazia Rangwala, Ella Swanson, Jonell Tempero, Robin Yang, Daniel R Karlin, Ron Rabinowicz, David Malkin, Simon Travis, Alissa Walsh, Robert P Hirten, Bruce E Sands, Chetan Bettegowda, Matthias Holdhoff, Jessica Wollett, Kelly Szajna, Kallan Dirmeyer, Anna Dodd, Shawn Hutchinson, Stephanie Ramotar, Robert C Grant, Adrien Boch, Mackenzie Wildman, Stephen H Friend
Publikováno v:
Journal of Medical Internet Research, Vol 26, p e57827 (2024)
BackgroundWearable digital health technologies and mobile apps (personal digital health technologies [DHTs]) hold great promise for transforming health research and care. However, engagement in personal DHT research is poor. ObjectiveThe objective o
Externí odkaz:
https://doaj.org/article/5e84f318bf6a46d793a1a2a87e064a7b
Autor:
J. M. Bradley, M. Hutchings, M. A. Arden, A. O’Cathain, C. Maguire, M. J. Wildman, on behalf of the CFHealthHub Study Team
Publikováno v:
BMC Pulmonary Medicine, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background A multi-component self-management intervention ‘CFHealthHub’ was developed to reduce pulmonary exacerbations in adults with Cystic Fibrosis (CF) by supporting adherence to nebuliser medication. It was evaluated in a randomized
Externí odkaz:
https://doaj.org/article/012a10e77c1648c1970bba9fc9b82ed1
Autor:
Weng, Jingxi, Wildman-Tobriner, Benjamin, Buda, Mateusz, Yang, Jichen, Ho, Lisa M., Allen, Brian C., Ehieli, Wendy L., Miller, Chad M., Zhang, Jikai, Mazurowski, Maciej A.
Objectives: The purpose is to apply a previously validated deep learning algorithm to a new thyroid nodule ultrasound image dataset and compare its performances with radiologists. Methods: Prior study presented an algorithm which is able to detect th
Externí odkaz:
http://arxiv.org/abs/2207.13765
Machine learning (ML) for diagnosis of thyroid nodules on ultrasound is an active area of research. However, ML tools require large, well-labelled datasets, the curation of which is time-consuming and labor-intensive. The purpose of our study was to
Externí odkaz:
http://arxiv.org/abs/2206.14305
Publikováno v:
BJGP Open, Vol 8, Iss 2 (2024)
Background: The Deep End network in the North East and North Cumbria (NENC) was set up to tackle health inequalities in general practice. One aim is to address the inverse care law and improve recruitment of GPs, which is known to be especially chall
Externí odkaz:
https://doaj.org/article/ee450dfb4c344a958fe6aec122b28a4b
Autor:
Geoffrey Rivers, Anna Lion, Nur Rofiqoh Eviana Putri, Graham A. Rance, Cara Moloney, Vincenzo Taresco, Valentina Cuzzucoli Crucitti, Hannah Constantin, Maria Inês Evangelista Barreiros, Laura Ruiz Cantu, Christopher J. Tuck, Felicity R.A.J. Rose, Richard J.M. Hague, Clive J. Roberts, Lyudmila Turyanska, Ricky D. Wildman, Yinfeng He
Publikováno v:
Materials Today Advances, Vol 22, Iss , Pp 100493- (2024)
Additive manufacturing offers manufacture of personalised pharmaceutical tablets through design freedoms and material deposition control at an individual voxel level. This control goes beyond geometry and materials choices: inkjet based 3D printing e
Externí odkaz:
https://doaj.org/article/ae3036db6ffe461b9365d571cb75ad7e