Zobrazeno 51 - 60
of 164 658
pro vyhledávání: '"Byrne, BE"'
Autor:
Wilensky, Michael J., Morales, Miguel F., Hazelton, Bryna J., Star, Pyxie L., Barry, Nichole, Byrne, Ruby, Jordan, C. H., Jacobs, Daniel C., Pober, Jonathan C., Trott, C. M.
Publikováno v:
The Astrophysical Journal, 2023, Volume 957, Number 2, p. 78
We present deep upper limits from the 2014 Murchison Widefield Array (MWA) Phase I observing season, with a particular emphasis on identifying the spectral fingerprints of extremely faint radio frequency interference (RFI) contamination in the 21~cm
Externí odkaz:
http://arxiv.org/abs/2310.03851
Autor:
Anaraky, Reza Ghaiumy, Lowens, Byron, Li, Yao, Byrne, Kaileigh A., Risius, Marten, Page, Xinru, Wisniewski, Pamela, Soleimani, Masoumeh, Soltani, Morteza, Knijnenburg, Bart
Considering that prior research has found older users undergo a different privacy decision-making process compared to younger adults, more research is needed to inform the behavioral privacy disclosure effects of these strategies for different age gr
Externí odkaz:
http://arxiv.org/abs/2310.03830
Through the Bayesian lens of data assimilation, uncertainty on model parameters is traditionally quantified through the posterior covariance matrix. However, in modern settings involving high-dimensional and computationally expensive forward models,
Externí odkaz:
http://arxiv.org/abs/2310.01397
Knowledge-based Visual Question Answering (KB-VQA) requires VQA systems to utilize knowledge from external knowledge bases to answer visually-grounded questions. Retrieval-Augmented Visual Question Answering (RA-VQA), a strong framework to tackle KB-
Externí odkaz:
http://arxiv.org/abs/2309.17133
Interstitial fluid flow is a feature of many solid tumours. In vitro Experiments have shown that such fluid flow can direct tumour cell movement upstream or downstream depending on the balance between the competing mechanisms of tensotaxis and autolo
Externí odkaz:
http://arxiv.org/abs/2309.13982
Autor:
Coca, Alexandru, Tseng, Bo-Hsiang, Chen, Jinghong, Lin, Weizhe, Zhang, Weixuan, Anders, Tisha, Byrne, Bill
Schema-guided dialogue state trackers can generalise to new domains without further training, yet they are sensitive to the writing style of the schemata. Augmenting the training set with human or synthetic schema paraphrases improves the model robus
Externí odkaz:
http://arxiv.org/abs/2309.13448
Recent detections of aromatic species in dark molecular clouds suggest formation pathways may be efficient at very low temperatures and pressures, yet current astrochemical models are unable to account for their derived abundances, which can often de
Externí odkaz:
http://arxiv.org/abs/2309.07341
Autor:
Byrne, Sean Anthony, Maquiling, Virmarie, Nyström, Marcus, Kasneci, Enkelejda, Niehorster, Diederick C.
Deep learning has bolstered gaze estimation techniques, but real-world deployment has been impeded by inadequate training datasets. This problem is exacerbated by both hardware-induced variations in eye images and inherent biological differences acro
Externí odkaz:
http://arxiv.org/abs/2309.06129
Autor:
Varnavides, Georgios, Ribet, Stephanie M., Zeltmann, Steven E., Yu, Yue, Savitzky, Benjamin H., Byrne, Dana O., Allen, Frances I., Dravid, Vinayak P., Scott, Mary C., Ophus, Colin
Scanning transmission electron microscopy (STEM) has been extensively used for imaging complex materials down to atomic resolution. The most commonly employed STEM modality, annular dark-field imaging, produces easily-interpretable contrast, but is d
Externí odkaz:
http://arxiv.org/abs/2309.05250
Autor:
Lucie Byrne-Davis, Natalie Carr, Tapash Roy, Salim Chowdhury, Usmaan Omer, Saher Nawaz, Dolce Advani, Olivia Byrne, Jo Hart
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-12 (2024)
Abstract Background Bangladesh has a shortfall of health professionals. The World Health Organization states that improving education will increase recruitment and retention of health workers. Traditional learning approaches, in medical education par
Externí odkaz:
https://doaj.org/article/34ec4c1e71a54b71a116a804c474fb26