Zobrazeno 1 - 10
of 42 030
pro vyhledávání: '"Siebert A"'
Autor:
Bowles William, Velazco-Torrejon Abner, Ramadurai Siva, Gallagher-Jones Marcus, Kirkland Angus, Siebert Alistair, Naismith James, Dumoux Maud
Publikováno v:
BIO Web of Conferences, Vol 129, p 13018 (2024)
Externí odkaz:
https://doaj.org/article/a8100594ece245aeafe1d283dbc96835
Autor:
Nunes Pedro, Lunnon Mark, Olafsson Bodvar, Foster Andrew, Littlewood Richard, Duller Graham, Evans Gwyndaf, Siebert Alistair
Publikováno v:
BIO Web of Conferences, Vol 129, p 07015 (2024)
Externí odkaz:
https://doaj.org/article/1429ebdcc5494534a96d088905893e11
Binaries are known to play a key role in the mass loss and dynamical environments of evolved stars. Stellar and sub-stellar companion interactions produce complex wind morphologies including rotating/expanding disks, bipolar outflows, and spiral wind
Externí odkaz:
http://arxiv.org/abs/2411.08120
Autor:
Singh, Vivek, Chaganti, Shikha, Siebert, Matthias, Rajesh, Soumya, Puiu, Andrei, Gopalan, Raj, Gramz, Jamie, Comaniciu, Dorin, Kamen, Ali
Early screening for cancer has proven to improve the survival rate and spare patients from intensive and costly treatments due to late diagnosis. Cancer screening in the healthy population involves an initial risk stratification step to determine the
Externí odkaz:
http://arxiv.org/abs/2410.19646
Autor:
Chayapathy, Dhruva, Siebert, Tavis, Spangher, Lucas, Moharir, Akshata Kishore, Patil, Om Manoj, Rea, Cristina
Machine Learning guided data augmentation may support the development of technologies in the physical sciences, such as nuclear fusion tokamaks. Here we endeavor to study the problem of detecting disruptions i.e. plasma instabilities that can cause s
Externí odkaz:
http://arxiv.org/abs/2410.11065
Autor:
Shahbandeh, Melissa, Fox, Ori D., Temim, Tea, Dwek, Eli, Sarangi, Arkaprabha, Smith, Nathan, Dessart, Luc, Nickson, Bryony, Engesser, Michael, Filippenko, Alexei V., Brink, Thomas G., Zheng, Weikang, Szalai, Tamás, Johansson, Joel, Rest, Armin, Van Dyk, Schuyler D., Andrews, Jennifer, Ashall, Chris, Clayton, Geoffrey C., De Looze, Ilse, Derkacy, James M., Dulude, Michael, Foley, Ryan J., Gezari, Suvi, Gomez, Sebastian, Gonzaga, Shireen, Indukuri, Siva, Jencson, Jacob, Kasliwal, Mansi, Lane, Zachary G., Lau, Ryan, Law, David, Marston, Anthony, Milisavljevic, Dan, O'Steen, Richard, Pierel, Justin, Siebert, Matthew, Skrutskie, Michael, Strolger, Lou, Tinyanont, Samaporn, Wang, Qinan, Williams, Brian, Xiao, Lin, Yang, Yi, Zsíros, Szanna
Dust from core-collapse supernovae (CCSNe), specifically Type IIP SNe, has been suggested to be a significant source of the dust observed in high-redshift galaxies. CCSNe eject large amounts of newly formed heavy elements, which can condense into dus
Externí odkaz:
http://arxiv.org/abs/2410.09142
Determining the assembly index of a molecule, which aims to find the least number of steps required to make its molecular graph by recursively using previously made structures, is a novel problem seeking to quantify the minimum number of constraints
Externí odkaz:
http://arxiv.org/abs/2410.09100
Autor:
Wenzel, Gabi, Cooke, Ilsa R., Changala, P. Bryan, Bergin, Edwin A., Zhang, Shuo, Burkhardt, Andrew M., Byrne, Alex N., Charnley, Steven B., Cordiner, Martin A., Duffy, Miya, Fried, Zachary T. P., Gupta, Harshal, Holdren, Martin S., Lipnicky, Andrew, Loomis, Ryan A., Shay, Hannah Toru, Shingledecker, Christopher N., Siebert, Mark A., Stewart, D. Archie, Willis, Reace H. J., Xue, Ci, Remijan, Anthony J., Wendlandt, Alison E., McCarthy, Michael C., McGuire, Brett A.
Polycyclic aromatic hydrocarbons (PAHs) are expected to be the most abundant class of organic molecules in space. Their interstellar lifecycle is not well understood, and progress is hampered by difficulties detecting individual PAH molecules. Here,
Externí odkaz:
http://arxiv.org/abs/2410.00657
Autor:
Körber, Nikolai, Kromer, Eduard, Siebert, Andreas, Hauke, Sascha, Mueller-Gritschneder, Daniel, Schuller, Björn
We introduce PerCo (SD), a perceptual image compression method based on Stable Diffusion v2.1, targeting the ultra-low bit range. PerCo (SD) serves as an open and competitive alternative to the state-of-the-art method PerCo, which relies on a proprie
Externí odkaz:
http://arxiv.org/abs/2409.20255
Large language models(LLMs) have exhibited remarkable few-shot learning capabilities and unified the paradigm of NLP tasks through the in-context learning(ICL) technique. Despite the success of ICL, the quality of the exemplar demonstrations can sign
Externí odkaz:
http://arxiv.org/abs/2409.11147