Zobrazeno 1 - 10
of 66 640
pro vyhledávání: '"Laura, E"'
Autor:
McCann, Laura E., Michler, Jeffrey D., Mwangala, Maybin, Olurotimi, Osaretin, Carmona, Natalia Estrada
Population pressure is speeding the rate of deforestation in Sub-Saharan Africa, increasing the cost of biomass cooking fuel, which over 80 percent of the population relies upon. Higher energy input costs for meal preparation command a larger portion
Externí odkaz:
http://arxiv.org/abs/2410.02075
Effective patient-provider communication is crucial in clinical care, directly impacting patient outcomes and quality of life. Traditional evaluation methods, such as human ratings, patient feedback, and provider self-assessments, are often limited b
Externí odkaz:
http://arxiv.org/abs/2409.15188
Autor:
Janquart, Justin, Keitel, David, Lo, Rico K. L., Chan, Juno C. L., Ezquiaga, Jose Marìa, Hannuksela, Otto A., Li, Alvin K. Y., More, Anupreeta, Phurailatpam, Hemantakumar, Singh, Neha, Uronen, Laura E., Wright, Mick, Adhikari, Naresh, Biscoveanu, Sylvia, Bulik, Tomasz, Farah, Amanda M., Heffernan, Anna, Joshi, Prathamesh, Juste, Vincent, Kedia, Atul, Nichols, Shania A., Pratten, Geraint, Rawcliffe, C., Roy, Soumen, Sänger, Elise M., Tong, Hui, Trevor, M., Vujeva, Luka, Zevin, Michael
On the 29th of May 2023, the LIGO-Virgo-KAGRA Collaboration observed a compact binary coalescence event consistent with a neutron star-black hole merger, though the heavier object of mass 2.5-4.5 $M_\odot$ would fall into the purported lower mass gap
Externí odkaz:
http://arxiv.org/abs/2409.07298
Autor:
Reddy, Varun, Wang, Zhiyuan, Toner, Emma, Larrazabal, Max, Boukhechba, Mehdi, Teachman, Bethany A., Barnes, Laura E.
During social interactions, understanding the intricacies of the context can be vital, particularly for socially anxious individuals. While previous research has found that the presence of a social interaction can be detected from ambient audio, the
Externí odkaz:
http://arxiv.org/abs/2407.14458
Autor:
Xiong, Haoyi, Wang, Zhiyuan, Li, Xuhong, Bian, Jiang, Xie, Zeke, Mumtaz, Shahid, Barnes, Laura E.
This article explores the convergence of connectionist and symbolic artificial intelligence (AI), from historical debates to contemporary advancements. Traditionally considered distinct paradigms, connectionist AI focuses on neural networks, while sy
Externí odkaz:
http://arxiv.org/abs/2407.08516
Autor:
Wang, Zhiyuan, Hassan, Nusayer, LeBaron, Virginia, Flickinger, Tabor E., Ling, David, Edwards, James, Wu, Congyu, Boukhechba, Mehdi, Barnes, Laura E.
Quality patient-provider communication is critical to improve clinical care and patient outcomes. While progress has been made with communication skills training for clinicians, significant gaps exist in how to best monitor, measure, and evaluate the
Externí odkaz:
http://arxiv.org/abs/2407.08143
Autor:
Uronen, Laura E., Li, Tian, Janquart, Justin, Phurailatpam, Hemantakumar, Poon, Jason S. C., Wempe, Ewoud, Koopmans, Léon V. E., Hannuksela, Otto A.
A rather clear problem has remained in black hole physics: localizing black holes. One of the recent theoretical ways proposed to identify black hole mergers' hosts is through multi-messenger gravitational lensing: matching the properties of a lensed
Externí odkaz:
http://arxiv.org/abs/2406.14257
We identify the bright Am-type star HD 181793 to be a previously-unknown eclipsing, chemically peculiar heartbeat binary, the second of its kind known. The system carries an orbital period of $P = 11.47578275 \pm 0.00000055$ days. We use TESS photome
Externí odkaz:
http://arxiv.org/abs/2406.12786
Autor:
Landeros, Jaime A., Kirk, Michael S., Arge, C. Nick, Boucheron, Laura E., Zhang, Jie, Uritsky, Vadim M., Grajeda, Jeremy A., Dupertuis, Matthew
Coronal Holes (CHs) are large-scale, low-density regions in the solar atmosphere which may expel high-speed solar wind streams that incite hazardous, geomagnetic storms. Coronal and solar wind models can predict these high-speed streams and the perfo
Externí odkaz:
http://arxiv.org/abs/2405.04731
The non-uniform blur of atmospheric turbulence can be modeled as a superposition of linear motion blur kernels at a patch level. We propose a regression convolutional neural network (CNN) to predict angle and length of a linear motion blur kernel for
Externí odkaz:
http://arxiv.org/abs/2402.07796