Zobrazeno 1 - 10
of 92 636
pro vyhledávání: '"A. Vila"'
Autor:
P. S. Kench, C. Liang, M. R. Ford, S. D. Owen, M. Aslam, E. J. Ryan, T. Turner, E. Beetham, M. E. Dickson, W. Stephenson, A. Vila-Concejo, R. F. McLean
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
This study establishes that the magnitude of observed physical changes in coral reef islands over the period of recent global warming is not unprecedented, and islands have continually adjusted to environmental change over the past millennia.
Externí odkaz:
https://doaj.org/article/b8d2e9a72493408d841d559bddc12598
Altermagnets, magnetic materials with zero magnetization and spin-split band structure, have gained tremendous attention recently for their rich physics and potential applications. Here, we report on a microscopic tight-binding model that unveils a u
Externí odkaz:
http://arxiv.org/abs/2410.23513
The problem of measuring conditional dependence between two random phenomena arises when a third one (a confounder) has a potential influence on the amount of information shared by the original pair. A typical issue in this challenging problem is the
Externí odkaz:
http://arxiv.org/abs/2410.15888
Autor:
Vilà-Insa, Marc, Sagarra, Jaume Riba
This paper proposes a general analysis of codeword detection in noncoherent communications. Motivated by the existence of error floors in various regimes, fundamental characteristics of signal design are investigated. In particular, the necessary and
Externí odkaz:
http://arxiv.org/abs/2410.15887
Autor:
Gascoigne, Sarah J., Vila-Vidal, Manel, Evans, Nathan, Da Silva, Anderson Brito, Thomas, Rhys H., Thornton, Christopher, Wilson, Kevin, Taylor, Peter N., Tauste, Adrià, Wang, Yujiang
During clinical treatment for epilepsy, the area of the brain thought to be responsible for pathological activity - known as the Seizure Onset Zone (SOZ) - is identified. This is typically performed through visual assessment of EEG recordings; howeve
Externí odkaz:
http://arxiv.org/abs/2410.13466
Autor:
Yang, Qidong, Giezendanner, Jonathan, Civitarese, Daniel Salles, Jakubik, Johannes, Schmitt, Eric, Chandra, Anirban, Vila, Jeremy, Hohl, Detlef, Hill, Chris, Watson, Campbell, Wang, Sherrie
Urgent applications like wildfire management and renewable energy generation require precise, localized weather forecasts near the Earth's surface. However, weather forecast products from machine learning or numerical weather models are currently gen
Externí odkaz:
http://arxiv.org/abs/2410.12938
Autor:
Hou, Chang, Marra, Luigi, Maceda, Guy Y. Cornejo, Jiang, Peng, Chen, Jingguo, Liu, Yutong, Hu, Gang, Chen, Jialong, Ianiro, Andrea, Discetti, Stefano, Meilán-Vila, Andrea, Noack, Bernd R.
We propose a physics-informed data-driven framework for urban wind estimation. This framework validates and incorporates the Reynolds number independence for turbulent flows, thus allowing the extrapolation for wind conditions far beyond the training
Externí odkaz:
http://arxiv.org/abs/2410.02427
Vegetation often understood merely as the result of long-term climate conditions. However, vegetation itself plays a fundamental role in shaping Earth's climate by regulating the energy, water, and biogeochemical cycles across terrestrial landscapes.
Externí odkaz:
http://arxiv.org/abs/2409.04872
Autor:
Vila, Roberto, Saulo, Helton
In this paper, we propose and study closed-form moment type estimators for a weighted exponential family. We also develop a bias-reduced version of these proposed closed-form estimators using bootstrap techniques. The estimators are evaluated using M
Externí odkaz:
http://arxiv.org/abs/2409.02204
In this paper we propose a family of multivariate asymmetric distributions over an arbitrary subset of set of real numbers which is defined in terms of the well-known elliptically symmetric distributions. We explore essential properties, including th
Externí odkaz:
http://arxiv.org/abs/2408.17410