Zobrazeno 1 - 10
of 70 610
pro vyhledávání: '"Than PD"'
Machine learning (ML) course for undergraduates face challenges in assessing student learning and providing practical exposure. Group project-based learning, an increasingly popular form of experiential learning in CS education, encounters certain li
Externí odkaz:
http://arxiv.org/abs/2410.16305
Monitoring edge-geodetic sets in a graph are subsets of vertices such that every edge of the graph must lie on all the shortest paths between two vertices of the monitoring set. These objects were introduced in a work by Foucaud, Krishna and Ramasubr
Externí odkaz:
http://arxiv.org/abs/2409.00350
Estimating expectation values on near-term quantum computers often requires a prohibitively large number of measurements. One widely-used strategy to mitigate this problem has been to partition an operator's Pauli terms into sets of mutually commutin
Externí odkaz:
http://arxiv.org/abs/2408.11898
Educating students about academic integrity expectations has been suggested as one of the ways to reduce malpractice in take-home programming assignments. We test this hypothesis using data collected from an artificial intelligence course with 105 pa
Externí odkaz:
http://arxiv.org/abs/2407.15014
Autor:
Gustafson, Erik J., Tiihonen, Juha, Chamaki, Diana, Sorourifar, Farshud, Mullinax, J. Wayne, Li, Andy C. Y., Maciejewski, Filip B., Sawaya, Nicolas PD, Krogel, Jaron T., Neira, David E. Bernal, Tubman, Norm M.
Variational quantum eigensolvers are touted as a near-term algorithm capable of impacting many applications. However, the potential has not yet been realized, with few claims of quantum advantage and high resource estimates, especially due to the nee
Externí odkaz:
http://arxiv.org/abs/2404.02951
Autor:
PD, Parthasarathy, Joshi, Swaroop
Despite recent initiatives aimed at improving accessibility, the field of digital accessibility remains markedly behind contemporary advancements in the software industry as a large number of real world software and web applications continue to fall
Externí odkaz:
http://arxiv.org/abs/2401.00449
Autor:
Lana M. Chahine, Naomi Louie, J Solle, Fulya Akçimen, Andrew Ameri, Samantha Augenbraun, Sabrina Avripas, Sarah Breaux, Christopher Causey, Shivika Chandra, Marissa Dean, Elizabeth A. Disbrow, Lauren Fanty, Jessica Fernandez, Erin R. Foster, Erin Furr Stimming, Deborah Hall, Vanessa Hinson, Ashani Johnson-Turbes, Cabell Jonas, Camilla Kilbane, Scott A. Norris, Bao-Tran Nguyen, Mahesh Padmanaban, Kimberly Paquette, Carly Parry, Natalia Pessoa Rocha, Ashley Rawls, Ejaz A. Shamim, Lisa M. Shulman, Rebeka Sipma, Julia Staisch, Rami Traurig, Rainer von Coelln, Peter Wild Crea, Tao Xie, Zih-Hua Fang, Alyssa O’Grady, Catherine M. Kopil, Maggie McGuire Kuhl, Andrew Singleton, Cornelis Blauwendraat, Sara Bandres-Ciga, the BLAAC PD Study and the Global Parkinson’s Genetics Program (GP2)
Publikováno v:
BMC Neurology, Vol 24, Iss 1, Pp 1-15 (2024)
Abstract Determining the genetic contributions to Parkinson’s disease (PD) across diverse ancestries is a high priority as this work can guide therapeutic development in a global setting. The genetics of PD spans the etiological risk spectrum, from
Externí odkaz:
https://doaj.org/article/15c7bceb54b1476f84c1fdcc646a1eef
Autor:
Jumade, Raghav, Sawaya, Nicolas PD
Though there has been substantial progress in developing quantum algorithms to study classical datasets, the cost of simply \textit{loading} classical data is an obstacle to quantum advantage. When the amplitude encoding is used, loading an arbitrary
Externí odkaz:
http://arxiv.org/abs/2309.13108
Autor:
Sawaya, Nicolas PD, Marti-Dafcik, Daniel, Ho, Yang, Tabor, Daniel P, Neira, David E Bernal, Magann, Alicia B, Premaratne, Shavindra, Dubey, Pradeep, Matsuura, Anne, Bishop, Nathan, de Jong, Wibe A, Benjamin, Simon, Parekh, Ojas, Tubman, Norm, Klymko, Katherine, Camps, Daan
In order to characterize and benchmark computational hardware, software, and algorithms, it is essential to have many problem instances on-hand. This is no less true for quantum computation, where a large collection of real-world problem instances wo
Externí odkaz:
http://arxiv.org/abs/2306.13126
Autor:
Scott Stanslaski, Rebekah L. S. Summers, Lisa Tonder, Ye Tan, Michelle Case, Robert S. Raike, Nathan Morelli, Todd M. Herrington, Martijn Beudel, Jill L. Ostrem, Simon Little, Leonardo Almeida, Adolfo Ramirez-Zamora, Alfonso Fasano, Travis Hassell, Kyle T. Mitchell, Elena Moro, Michal Gostkowski, Nagaraja Sarangmat, Helen Bronte-Stewart, On behalf of the ADAPT-PD Investigators
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-11 (2024)
Abstract Adaptive deep brain stimulation (aDBS) is an emerging advancement in DBS technology; however, local field potential (LFP) signal rate detection sufficient for aDBS algorithms and the methods to set-up aDBS have yet to be defined. Here we sum
Externí odkaz:
https://doaj.org/article/161691af396044d9900a3ea23ed94dc6