Zobrazeno 1 - 10
of 14 973
pro vyhledávání: '"FAIN A"'
Publikováno v:
International Journal of Women's Health, Vol Volume 16, Pp 979-985 (2024)
Tess EK Cersonsky,1 Audra C Fain,2 Adam K Lewkowitz,3,4 Erika F Werner,5 Emily S Miller,3,4 Melissa A Clark,4,6 Nina K Ayala3,4 1Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York, NY, USA
Externí odkaz:
https://doaj.org/article/eae51fa9918642b791cf19469229b114
Autor:
Hu, Shuting, Ackun, Peggy, Zhang, Xiang, Cao, Siyang, Barton, Jennifer, Hector, Melvin G., Fain, Mindy J., Toosizadeh, Nima
This study explores a novel approach for analyzing Sit-to-Stand (STS) movements using millimeter-wave (mmWave) radar technology. The goal is to develop a non-contact sensing, privacy-preserving, and all-day operational method for healthcare applicati
Externí odkaz:
http://arxiv.org/abs/2411.14656
Autor:
Sego, T. J., König, Matthias, Fonseca, Luis L., Fain, Baylor, Knapp, Adam C., Tiwari, Krishna, Hermjakob, Henning, Sauro, Herbert M., Glazier, James A., Laubenbacher, Reinhard C., Malik-Sheriff, Rahuman S.
Reproducibility is a foundational standard for validating scientific claims in computational research. Stochastic computational models are employed across diverse fields such as systems biology, financial modelling and environmental sciences. Existin
Externí odkaz:
http://arxiv.org/abs/2406.16820
Background: Aortic stenosis (AS) is the most common acquired valvar disease and is associated with increased risk for frailty. Frailty as a geriatric syndrome is associated with muscle weakness and a compromised autonomic nervous system (ANS) perform
Externí odkaz:
http://arxiv.org/abs/2404.15355
Autor:
Hu, Shuting, Cao, Siyang, Toosizadeh, Nima, Barton, Jennifer, Hector, Melvin G., Fain, Mindy J.
Fall detection, particularly critical for high-risk demographics like the elderly, is a key public health concern where timely detection can greatly minimize harm. With the advancements in radio frequency technology, radar has emerged as a powerful t
Externí odkaz:
http://arxiv.org/abs/2312.04037
We study multi-objective reinforcement learning with nonlinear preferences over trajectories. That is, we maximize the expected value of a nonlinear function over accumulated rewards (expected scalarized return or ESR) in a multi-objective Markov Dec
Externí odkaz:
http://arxiv.org/abs/2311.02544
Language Representation Models (LRMs) trained with real-world data may capture and exacerbate undesired bias and cause unfair treatment of people in various demographic groups. Several techniques have been investigated for applying interventions to L
Externí odkaz:
http://arxiv.org/abs/2310.18458
Autor:
Goderya, Shaukat, Smith, Edward, Fain, Baylor, Hutyra, Taylor, McCallum, Mason, Wyatt, Bryant
Binary star systems are of particular interest to astronomers because they can be used as astrophysical laboratories to study the properties and processes of stars. Between 70% to 90% of the stars in our galaxy are part of a binary star system. Among
Externí odkaz:
http://arxiv.org/abs/2303.12166
In the assignment problem, a set of items must be allocated to unit-demand agents who express ordinal preferences (rankings) over the items. In the assignment problem with priorities, agents with higher priority are entitled to their preferred goods
Externí odkaz:
http://arxiv.org/abs/2301.13804
Autor:
Lehman, Charles Fain
Publikováno v:
The New Atlantis, 2023 Oct 01(74), 16-29.
Externí odkaz:
https://www.jstor.org/stable/27255031