Zobrazeno 1 - 10
of 60 441
pro vyhledávání: '"Co A"'
Publikováno v:
Aquaculture Environment Interactions, Vol 16, Pp 189-202 (2024)
Fish farm effluents are known to affect water quality and freshwater ecosystems, potentially harming non-target organisms and ecosystem processes. We studied the effect of fish farm effluents at different concentrations (3.125-100% v/v) on catalase (
Externí odkaz:
https://doaj.org/article/f1e126fd4efa4883af1327f8b7c2df3d
Autor:
AML Leão, CO Azevedo, CCA Ferreira, GP Donato, IVCF Neves, KM Costa, MT Campagnac, PS Araújo, RF Guedes, TA Lopes
Publikováno v:
Hematology, Transfusion and Cell Therapy, Vol 45, Iss , Pp S990-S991 (2023)
Introdução: A liga acadêmica é uma instituição que almeja expandir o conhecimento do aluno em uma área específica por meio de atividades e palestras que atendam ao tripé universitário: ensino, pesquisa e extensão. Reativada em 2019, a Liga
Externí odkaz:
https://doaj.org/article/20ab35fe51fb4ed5a77cc8e1cd51be1a
Autor:
Kumar, Aviral, Zhuang, Vincent, Agarwal, Rishabh, Su, Yi, Co-Reyes, John D, Singh, Avi, Baumli, Kate, Iqbal, Shariq, Bishop, Colton, Roelofs, Rebecca, Zhang, Lei M, McKinney, Kay, Shrivastava, Disha, Paduraru, Cosmin, Tucker, George, Precup, Doina, Behbahani, Feryal, Faust, Aleksandra
Self-correction is a highly desirable capability of large language models (LLMs), yet it has consistently been found to be largely ineffective in modern LLMs. Existing approaches for training self-correction either require multiple models or rely on
Externí odkaz:
http://arxiv.org/abs/2409.12917
Autor:
Hron, Jiri, Culp, Laura, Elsayed, Gamaleldin, Liu, Rosanne, Adlam, Ben, Bileschi, Maxwell, Bohnet, Bernd, Co-Reyes, JD, Fiedel, Noah, Freeman, C. Daniel, Gur, Izzeddin, Kenealy, Kathleen, Lee, Jaehoon, Liu, Peter J., Mishra, Gaurav, Mordatch, Igor, Nova, Azade, Novak, Roman, Parisi, Aaron, Pennington, Jeffrey, Rizkowsky, Alex, Simpson, Isabelle, Sedghi, Hanie, Sohl-dickstein, Jascha, Swersky, Kevin, Vikram, Sharad, Warkentin, Tris, Xiao, Lechao, Xu, Kelvin, Snoek, Jasper, Kornblith, Simon
While many capabilities of language models (LMs) improve with increased training budget, the influence of scale on hallucinations is not yet fully understood. Hallucinations come in many forms, and there is no universally accepted definition. We thus
Externí odkaz:
http://arxiv.org/abs/2408.07852
We study the cosmological evolution of a light QCD axion and identify the parameter space to obtain the correct relic dark matter abundance. The axion potential is flattened at the origin, corresponding to the only minimum, while it is unsuppressed a
Externí odkaz:
http://arxiv.org/abs/2407.12930
Understanding the rules underlying organismal development is a major unsolved problem in biology. Each cell in a developing organism responds to signals in its local environment by dividing, excreting, consuming, or reorganizing, yet how these indivi
Externí odkaz:
http://arxiv.org/abs/2407.06295
Autor:
Van Dinh, Co, Luu, Son T.
The problem of detecting spam reviews (opinions) has received significant attention in recent years, especially with the rapid development of e-commerce. Spam reviews are often classified based on comment content, but in some cases, it is insufficien
Externí odkaz:
http://arxiv.org/abs/2405.13292
We show that a rotating axion field that makes a transition from a matter-like equation of state to a kination-like equation of state around the epoch of recombination can significantly ameliorate the Hubble tension, i.e., the discrepancy between the
Externí odkaz:
http://arxiv.org/abs/2405.12268
Autor:
Yu, Mengjie, Harris, Dustin, Jones, Ian, Zhang, Ting, Liu, Yue, Sendhilnathan, Naveen, Kokhlikyan, Narine, Wang, Fulton, Tran, Co, Livingston, Jordan L., Taylor, Krista E., Hu, Zhenhong, Hood, Mary A., Benko, Hrvoje, Jonker, Tanya R.
Gaze-based interactions offer a potential way for users to naturally engage with mixed reality (XR) interfaces. Black-box machine learning models enabled higher accuracy for gaze-based interactions. However, due to the black-box nature of the model,
Externí odkaz:
http://arxiv.org/abs/2404.13777
Autor:
Agarwal, Rishabh, Singh, Avi, Zhang, Lei M., Bohnet, Bernd, Rosias, Luis, Chan, Stephanie, Zhang, Biao, Anand, Ankesh, Abbas, Zaheer, Nova, Azade, Co-Reyes, John D., Chu, Eric, Behbahani, Feryal, Faust, Aleksandra, Larochelle, Hugo
Large language models (LLMs) excel at few-shot in-context learning (ICL) -- learning from a few examples provided in context at inference, without any weight updates. Newly expanded context windows allow us to investigate ICL with hundreds or thousan
Externí odkaz:
http://arxiv.org/abs/2404.11018