Zobrazeno 1 - 10
of 9 584
pro vyhledávání: '"Aragonés"'
Autor:
Fontboté, Marc Aragonès, Mateos, David, Martín, Guillem Pérez, van der Schee, Wilke, Subils, Javier G.
We investigate cosmic censorship in anti-de Sitter space in holographic models in which the ground state is described by a good singularity. These include supersymmetric truncations of string/M-theory, for which a positive-energy theorem holds. At th
Externí odkaz:
http://arxiv.org/abs/2411.17806
Upon release, ChatGPT3.5 shocked the software engineering community by its ability to generate answers to specialized questions about coding. Immediately, many educators wondered if it was possible to use the chatbot as a support tool that helps stud
Externí odkaz:
http://arxiv.org/abs/2411.16690
Autor:
Aragonés Lozano, Mario
[ES] Tanto la cantidad como la tipología de los ciberataques va en aumento día a día y la tendencia es que continúen creciendo de forma exponencial en los próximos años. Estos ciberataques afectan a todos los dispositivos, independientemente de
Externí odkaz:
http://hdl.handle.net/10251/204427
In the present work, we prove that, if $A(\cdot)$ is a compact almost automorphic matrix and the system $$x'(t) = A(t)x(t)\, ,$$ possesses an exponential dichotomy with Green function $G(\cdot, \cdot)$, then its associated system $$y'(t) = B(t)y(t)\,
Externí odkaz:
http://arxiv.org/abs/2404.16758
Autor:
Magrinya, Paula, Palacios, Pablo, Llombart, Pablo, Delgado-Buscalioni, Rafael, Alexander-Katz, Alfredo, Arriaga, Laura R., Aragones, Juan L.
The interaction of surfaces in relative motion in wet environments is dominated by lubrication forces, which play a pivotal role in the dynamics of microscopic systems. Here, we develop motile vesicles that exploit lubrication forces to roll on subst
Externí odkaz:
http://arxiv.org/abs/2402.17707
Autor:
Cueto-López, N., García-Ordás, M. T., Dávila-Batista, V., Moreno, V., Aragonés, N., Alaiz-Rodríguez, R.
Background and objective Risk prediction models aim at identifying people at higher risk of developing a target disease. Feature selection is particularly important to improve the prediction model performance avoiding overfitting and to identify the
Externí odkaz:
http://arxiv.org/abs/2402.05293
Autor:
Aragonés-Soria, Yaiza, Oriol, Manuel
Publikováno v:
In Proceedings of the 5th ACM/IEEE International Workshop on Quantum Software Engineering (Q-SE 2024). Association for Computing Machinery, New York, NY, USA, 49-52
Quantum computing is a growing field that promises many real-world applications such as quantum cryptography or quantum finance. The number of people able to use quantum computing is however still very small. This limitation comes from the difficulty
Externí odkaz:
http://arxiv.org/abs/2402.01738
Publikováno v:
In Proceedings of the 5th ACM/IEEE International Workshop on Quantum Software Engineering (Q-SE 2024). Association for Computing Machinery, New York, NY, USA, 49-52
Quantum computing is a growing field with significant potential applications. Learning how to code quantum programs means understanding how qubits work and learning to use quantum gates. This is analogous to creating classical algorithms using logic
Externí odkaz:
http://arxiv.org/abs/2401.15073