Zobrazeno 1 - 10
of 4 730
pro vyhledávání: '"A. Satyanarayan"'
Autor:
A. Satyanarayan Naidu, Chin-Kun Wang, Pingfan Rao, Fabrizio Mancini, Roger A. Clemens, Aman Wirakartakusumah, Hui-Fang Chiu, Chi-Hua Yen, Sebastiano Porretta, Issac Mathai, Sreus A. G. Naidu
Publikováno v:
npj Science of Food, Vol 8, Iss 1, Pp 1-48 (2024)
Abstract SARS‐CoV‐2, the etiological agent of COVID-19, is devoid of any metabolic capacity; therefore, it is critical for the viral pathogen to hijack host cellular metabolic machinery for its replication and propagation. This single-stranded RN
Externí odkaz:
https://doaj.org/article/294595615c6e485ca03901475218a0ee
Autor:
A. Satyanarayan Naidu, Chin-Kun Wang, Pingfan Rao, Fabrizio Mancini, Roger A. Clemens, Aman Wirakartakusumah, Hui-Fang Chiu, Chi-Hua Yen, Sebastiano Porretta, Issac Mathai, Sreus A. G. Naidu
Publikováno v:
npj Science of Food, Vol 8, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/c49b9aa2040e4524878738ee3e4c80ac
This article proposes a new integration of linguistic anthropology and machine learning (ML) around convergent interests in both the underpinnings of language and making language technologies more socially responsible. While linguistic anthropology f
Externí odkaz:
http://arxiv.org/abs/2411.05200
There is a significant uncertainty in the prediction of atmospheric muon neutrino and anti-neutrino flux ratio using different flux models, especially at higher energies. We study the prospects of experimentally measuring this flux ratio as a functio
Externí odkaz:
http://arxiv.org/abs/2409.20231
Interactive visualizations are powerful tools for Exploratory Data Analysis (EDA), but how do they affect the observations analysts make about their data? We conducted a qualitative experiment with 13 professional data scientists analyzing two datase
Externí odkaz:
http://arxiv.org/abs/2409.10450
Abstraction -- the process of generalizing specific examples into broad reusable patterns -- is central to how people efficiently process and store information and apply their knowledge to new data. Promisingly, research has shown that ML models lear
Externí odkaz:
http://arxiv.org/abs/2407.12543
Autor:
Zong, Jonathan, Pineros, Isabella Pedraza, Chen, Mengzhu Katie, Hajas, Daniel, Satyanarayan, Arvind
We present Umwelt, an authoring environment for interactive multimodal data representations. In contrast to prior approaches, which center the visual modality, Umwelt treats visualization, sonification, and textual description as coequal representati
Externí odkaz:
http://arxiv.org/abs/2403.00106
Publikováno v:
Physical Review D 109, 083541 (2024)
The initial density of dark matter (DM) particles, otherwise secluded from the standard model (SM), may be generated at reheating, with an initial temperature ratio for internal thermalizations, $\xi_i=T_{\rm DM,i}/T_{\rm SM,i}$. This scenario necess
Externí odkaz:
http://arxiv.org/abs/2312.12985
Generative text-to-image (TTI) models produce high-quality images from short textual descriptions and are widely used in academic and creative domains. Like humans, TTI models have a worldview, a conception of the world learned from their training da
Externí odkaz:
http://arxiv.org/abs/2309.09944
Dashboards are no longer mere static displays of metrics; through functionality such as interaction and storytelling, they have evolved to support analytic and communicative goals like monitoring and reporting. Existing dashboard design guidelines, h
Externí odkaz:
http://arxiv.org/abs/2308.04514