Zobrazeno 1 - 10
of 5 774
pro vyhledávání: '"A, Hayne"'
Autonomous selection of optimal options for data collection from multiple alternatives is challenging in uncertain environments. When secondary information about options is accessible, such problems can be framed as contextual multi-armed bandits (CM
Externí odkaz:
http://arxiv.org/abs/2408.04119
In this work, we investigate the electrical conductivity of carbon nanotubes (CNTs), with a particular focus on the effects of doping. Using a first-principles approach, we study the electronic structure, phonon dispersion, and electron-phonon scatte
Externí odkaz:
http://arxiv.org/abs/2408.02884
Autor:
Nandrya Hayne Santos Lima, Elizangela Zayana Lima D'suze, Denise de Assis Paiva, Nilsa Duarte da Silva Lima, Thalles Ribeiro Gomes, José Teodoro de Paiva
Publikováno v:
World Rabbit Science, Vol 32, Iss 3, Pp 175-191 (2024)
The genetic improvement of rabbits helps increase their productivity and, consequently, increase the supply of animal protein for human consumption. The aim of this study was to perform a meta-analysis of genetic parameters (heritability and genetic
Externí odkaz:
https://doaj.org/article/197960d00ede4706983758b6b17624b2
Autor:
Douglas I. Lin, Julia C. F. Quintanilha, Natalie Danziger, Lixin Lang, Diane Levitan, Cynthia Hayne, Matthew C. Hiemenz, David L. Smith, Lee A. Albacker, Jeffrey Leibowitz, Douglas A. Mata, Brennan Decker, Sotirios Lakis, Nimesh R. Patel, Ryon P. Graf, Julia A. Elvin, Jeffrey S. Ross, Varun Pattani, Richard S. P. Huang, Amy K. Wehn
Publikováno v:
npj Precision Oncology, Vol 8, Iss 1, Pp 1-9 (2024)
Abstract Microsatellite instability high (MSI-H) and mismatch repair deficient (dMMR) tumor status have been demonstrated to predict patient response to immunotherapies. We developed and validated a next-generation sequencing (NGS)-based companion di
Externí odkaz:
https://doaj.org/article/5b1f54d32e854c9184c1c038f53bf3c6
Autor:
Burnett, Ethan, Hayne, Paul
Europa is an icy ocean world, differentiated into a floating ice shell and solid interior, separated by a global ocean. The classical spin-orbit coupling problem considers a satellite as a single rigid body, but in the case of Europa, the existence o
Externí odkaz:
http://arxiv.org/abs/2302.13226
Autor:
Piers Coia, Bhagya Dharmasiri, David J. Hayne, Ameya Borkar, Carol Hua, Elmer Austria Jr., Behnam Akhavan, Mia Angela Nuñeza Judicpa, Ken Aldren Sumaya Usman, Joselito Razal, Luke C. Henderson
Publikováno v:
Small Structures, Vol 5, Iss 10, Pp n/a-n/a (2024)
The multifunctionality of carbon fiber (CF) is being extensively explored. Herein, polyimide covalent organic frameworks (PI‐COFs) are grafted bound to CF to enhance their mechanical and electrochemical properties. Here, a range of COF scaffolds ar
Externí odkaz:
https://doaj.org/article/ddb96467ba0e4d6fa017a4ee6a76b72e
Linear classifier probes are frequently utilized to better understand how neural networks function. Researchers have approached the problem of determining unit importance in neural networks by probing their learned, internal representations. Linear c
Externí odkaz:
http://arxiv.org/abs/2211.04367
Autor:
Mohammed Al‐Zubaidi, Katherine Ong, Pravin Viswambaram, Haider Bangash, Glenn Boardman, Steve P. McCombie, Oliver Oey, Nicole Swarbrick, Andrew Redfern, Jeremy Ong, Richard Gauci, Ronny Low, Dickon Hayne
Publikováno v:
BJUI Compass, Vol 5, Iss 4, Pp 473-479 (2024)
Abstract Objectives We aim to assess the clinical value of 18F‐fluorodeoxyglucose positron (18F‐FDG‐PET) scan in detecting nodal and distant metastasis compared with computed tomography (CT) scan in patients with urothelial carcinoma or bladder
Externí odkaz:
https://doaj.org/article/863353335ec948fea73323871506e0af
We present an empirical dataset surveying the deep learning phenomenon on fully-connected feed-forward multilayer perceptron neural networks. The dataset, which is now freely available online, records the per-epoch training and generalization perform
Externí odkaz:
http://arxiv.org/abs/2207.12547
Autor:
Coia, Piers, Dharmasiri, Bhagya, Stojcevski, Filip, Hayne, David J., Austria, Elmer, Jr., Akhavan, Behnam, Razal, Joselito M., Usman, Ken Aldren S., Stanfield, Melissa K., Henderson, Luke C.
Publikováno v:
In Journal of Materials Science & Technology 20 November 2024 200:162-175