Zobrazeno 1 - 10
of 1 884
pro vyhledávání: '"Vasista, A."'
Publikováno v:
International Journal of Emergency Medicine, Vol 17, Iss 1, Pp 1-7 (2024)
Abstract Objective This study aimed to identify predictors of brain CT abnormalities in patients who sustained a mild traumatic brain injury (mTBI). Methods Retrospective observational cohort of adult patients with mTBI (Glasgow Coma Score 13–15) t
Externí odkaz:
https://doaj.org/article/5d21e367c5cd41469c552894edc58ce6
Autor:
Vasista, Sihi1 (AUTHOR), Saint-Fleur, Josue2 (AUTHOR), Kapoor, Neera3 (AUTHOR), Ganti, Latha2,4 (AUTHOR) lganti@ocom.org
Publikováno v:
International Journal of Emergency Medicine. 11/5/2024, Vol. 17 Issue 1, p1-7. 7p.
Measurement of local temperature using label-free optical methods has gained importance as a pivotal tool in both fundamental and applied research. Yet, most of these approaches are limited to steady-state measurements of planar heat sources. However
Externí odkaz:
http://arxiv.org/abs/2308.04429
While FastSpeech2 aims to integrate aspects of speech such as pitch, energy, and duration as conditional inputs, it still leaves scope for richer representations. As a part of this work, we leverage representations from various Self-Supervised Learni
Externí odkaz:
http://arxiv.org/abs/2308.01018
Autor:
Menghrajani, Kishan S., Vasista, Adarsh B., Tan, Wai Jue, Thomas, Philip A., Herrera, Felipe, Barnes, William L.
Molecular strong coupling offers exciting prospects in physics, chemistry and materials science. Whilst attention has been focused on developing realistic models for the molecular systems, the important role played by the entire photonic mode structu
Externí odkaz:
http://arxiv.org/abs/2211.08300
In this paper, we propose a new Self-Supervised Learning (SSL) algorithm called data2vec-aqc, for speech representation learning from unlabeled speech data. Our goal is to improve SSL for speech in domains where both unlabeled and labeled data are li
Externí odkaz:
http://arxiv.org/abs/2211.01246
Autor:
Prakash, Anusha, Kumar, Arun, Seth, Ashish, Mukherjee, Bhagyashree, Gupta, Ishika, Kuriakose, Jom, Fernandes, Jordan, Vikram, K V, M, Mano Ranjith Kumar, Mary, Metilda Sagaya, Wajahat, Mohammad, N, Mohana, Batra, Mudit, K, Navina, George, Nihal John, Ravi, Nithya, Mishra, Pruthwik, Srivastava, Sudhanshu, Lodagala, Vasista Sai, Mujadia, Vandan, Vineeth, Kada Sai Venkata, Sukhadia, Vrunda, Sharma, Dipti, Murthy, Hema, Bhattacharya, Pushpak, Umesh, S, Sangal, Rajeev
Cross-lingual dubbing of lecture videos requires the transcription of the original audio, correction and removal of disfluencies, domain term discovery, text-to-text translation into the target language, chunking of text using target language rhythm,
Externí odkaz:
http://arxiv.org/abs/2211.01338
While Self-Supervised Learning has helped reap the benefit of the scale from the available unlabeled data, the learning paradigms are continuously being bettered. We present a new pre-training strategy named ccc-wav2vec 2.0, which uses clustering and
Externí odkaz:
http://arxiv.org/abs/2210.02592
Autor:
Christopher Yu, MBBS, Prajith Jeyaprakash, MBBS, Koya Ozawa, MD, PhD, Tomoko Negishi, MD, Dhanusha Sabanathan, MBBS, PhD, John Park, MBBS, PhD, Jennifer Man, MBBS, PhD, Anuradha Vasista, MBBS, PhD, Faraz Pathan, MBBS, PhD, Kazuaki Negishi, MD, PhD, MSc
Publikováno v:
CJC Open, Vol 6, Iss 5, Pp 768-772 (2024)
Anthracycline therapy (ANT) is associated with cancer therapy-related cardiac dysfunction. Coronary flow velocity reserve (CFVR) has shown prognostic utility in non-cancer cohorts, but no data have been obtained in a cardio-oncology setting. We inves
Externí odkaz:
https://doaj.org/article/4228192643284e04b183fa50869327e2
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract DNAJB6b is a molecular chaperone of the heat shock protein network, shown to play a crucial role in preventing aggregation of several disease-related intrinsically disordered proteins. Using homology modeling and microsecond-long all-atom mo
Externí odkaz:
https://doaj.org/article/1218db2543ba4e7e993401a17d3081c0