Zobrazeno 1 - 10
of 3 184
pro vyhledávání: '"Howard, D P"'
Autor:
Joint, François, Zhang, Kunyi, Poojali, Jayaprakash, Lewis, Daniel, Pedowitz, Michael, Jordan, Brendan, Prakash, Gyan, Ali, Ashraf, Daniels, Kevin, Myers-Ward, Rachael L., Murphy, Thomas E., Drew, Howard D.
Developing low-power, high-sensitivity photodetectors for the terahertz (THz) band that operate at room temperature is an important challenge in optoelectronics. In this study, we introduce a photo-thermal-electric (PTE) effect detector based on quas
Externí odkaz:
http://arxiv.org/abs/2405.06579
Autor:
Mannix, Evelyn J., Bondell, Howard D.
In many machine learning applications, labeling datasets can be an arduous and time-consuming task. Although research has shown that semi-supervised learning techniques can achieve high accuracy with very few labels within the field of computer visio
Externí odkaz:
http://arxiv.org/abs/2305.10071
Autor:
Agus Salim, Christian J. Brakenridge, Dulari Hakamuwa Lekamlage, Erin Howden, Ruth Grigg, Hayley T. Dillon, Howard D. Bondell, Julie A. Simpson, Genevieve N. Healy, Neville Owen, David W. Dunstan, Elisabeth A. H. Winkler
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Wrist-worn data from commercially available devices has potential to characterize sedentary time for research and for clinical and public health applications. We propose a model that utilizes heart rate in addition to step count d
Externí odkaz:
https://doaj.org/article/f83c018d0e694f4abfeed409d527e799
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract In response to DNA double-strand breaks or oxidative stress, ATM-dependent DNA damage response (DDR) is activated to maintain genome integrity. However, it remains elusive whether and how DNA single-strand breaks (SSBs) activate ATM. Here, w
Externí odkaz:
https://doaj.org/article/22483882e6f14e2ba45fa47524940623
Spatially dependent data arises in many applications, and Gaussian processes are a popular modelling choice for these scenarios. While Bayesian analyses of these problems have proven to be successful, selecting prior distributions for these complex m
Externí odkaz:
http://arxiv.org/abs/2301.09951
Autor:
Alan J. Sosa, Michael K. Rooney, Howard D. Thames, Jeremiah W. Sanders, David M. Swanson, Seungtaek L. Choi, Quynh-Nhu Nguyen, Henry Mok, Deborah A. Kuban, X. Ron Zhu, Shalin Shah, Lauren L. Mayo, Karen E. Hoffman, Chad Tang, Sean E. McGuire, Narayan Sahoo, Xiaodong Zhang, Andrew K. Lee, Thomas J. Pugh, Usama Mahmood, John W. Davis, Brian F. Chapin, Paul Corn, Reena Kudchadker, Noveen Ausat, Steven J. Frank
Publikováno v:
Clinical and Translational Radiation Oncology, Vol 48, Iss , Pp 100822- (2024)
Background: Proton therapy (PT) has unique biologic properties with excellent clinical outcomes for the management of localized prostate cancer. Here, we aim to characterize the toxicity of PT for patients with localized prostate cancer and propose m
Externí odkaz:
https://doaj.org/article/91f77869f0f94ffda164c4d00a789e7e
In Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to place a prior on a summary measure of the model instead.
Externí odkaz:
http://arxiv.org/abs/2111.10718
Autor:
Sandi L. Navarro, Brian D. Williamson, Ying Huang, G. A. Nagana Gowda, Daniel Raftery, Lesley F. Tinker, Cheng Zheng, Shirley A. A. Beresford, Hayley Purcell, Danijel Djukovic, Haiwei Gu, Howard D. Strickler, Fred K. Tabung, Ross L. Prentice, Marian L. Neuhouser, Johanna W. Lampe
Publikováno v:
Metabolites, Vol 14, Iss 8, p 463 (2024)
Metabolomics has been used extensively to capture the exposome. We investigated whether prospectively measured metabolites provided predictive power beyond well-established risk factors among 758 women with adjudicated cancers [n = 577 breast (BC) an
Externí odkaz:
https://doaj.org/article/ee0a525611cb46a093caf9512b504bd6
Publikováno v:
Drug and Alcohol Dependence Reports, Vol 10, Iss , Pp 100220- (2024)
Background: In 2021, approximately 60 million individuals worldwide and 9 million individuals in the United States (US) reported opioid misuse. In the US, 2.5 million have OUD, of which only about a third receive any substance abuse treatment. OUD is
Externí odkaz:
https://doaj.org/article/a91b9745a14b43f1842d0fb7be0643d4
Autor:
Guo, Yiping, Bondell, Howard D.
Compared to the conditional mean as a simple point estimator, the conditional density function is more informative to describe the distributions with multi-modality, asymmetry or heteroskedasticity. In this paper, we propose a novel parametric condit
Externí odkaz:
http://arxiv.org/abs/2010.10896