Zobrazeno 1 - 10
of 7 490
pro vyhledávání: '"Constantino P"'
Autor:
Rita Cordeiro, Constantino P. Caetano, Daniel Sobral, Rita Ferreira, Luís Coelho, Ana Pelerito, Isabel Lopes de Carvalho, Sónia Namorado, Dinis B. Loyens, Ricardo Mexia, Cândida Fernandes, José Miguel Neves, Ana Luísa João, Miguel Rocha, Luís Miguel Duque, Inês Correia, Teresa Baptista, Cláudia Brazão, Diogo Sousa, Paulo Filipe, Miguel Alpalhão, Fernando Maltez, Diana Póvoas, Raquel Pinto, João Caria, Rita Patrocínio de Jesus, Patrícia Pacheco, Francesca Peruzzu, Josefina Méndez, Luís Ferreira, Kamal Mansinho, João Vaz Alves, Joana Vasconcelos, João Domingos, Sara Casanova, Frederico Duarte, Maria João Gonçalves, Mafalda Brito Salvador, Mafalda Andresen Guimarães, Sueila Martins, Marvin Silva Oliveira, Daniela Santos, Luís Vieira, Maria Sofia Núncio, Vítor Borges, João Paulo Gomes
Publikováno v:
Emerging Microbes and Infections, Vol 13, Iss 1 (2024)
In 2023, a second wave of the global mpox epidemic, which is mainly affecting men who have sex with men (MSM), was observed in some countries. Herein, we benefited from a large viral sequence sampling (76/121; 63%) and vast epidemiological data to ch
Externí odkaz:
https://doaj.org/article/61c51d32e2de4877b20d820388104c9b
Autor:
Soares, Samuel M., Squillante, Lucas, Lima, Henrique S., Tsallis, Constantino, de Souza, Mariano
According to Boltzmann-Gibbs (BG) statistical mechanics, the thermodynamic response, such as the isothermal susceptibility, at critical points (CPs) presents a divergent-like behavior. An appropriate parameter to probe both classical and quantum CPs
Externí odkaz:
http://arxiv.org/abs/2409.11086
This paper presents a tool for multi-step system identification that leverages first-order optimization and exact gradient computation. Drawing inspiration from neural network training and Automatic Differentiation (AD), the proposed method computes
Externí odkaz:
http://arxiv.org/abs/2410.03544
We study the angular diffusion in a classical $d-$dimensional inertial XY model with interactions decaying with the distance between spins as $r^{-\alpha}$, wiht $\alpha\geqslant 0$. After a very short-time ballistic regime, with $\sigma_\theta^2\sim
Externí odkaz:
http://arxiv.org/abs/2409.08992
Along recent decades, an intensive worldwide research activity is focusing both black holes and cosmos (e.g. the dark-energy phenomenon) on the basis of entropic approaches. The Boltzmann-Gibbs-based Bekenstein-Hawking entropy $S_{BH}\propto A/l_P^2$
Externí odkaz:
http://arxiv.org/abs/2408.08820
Electric power systems with growing penetration of renewable generation face problems of frequency oscillation and increased uncertainty as the operating point may veer close to instability. Traditionally the stability of these systems is studied eit
Externí odkaz:
http://arxiv.org/abs/2408.00916
The thermal conductivity, $\kappa$, of a homogeneous chain of generically-ranged interacting planar rotors, more precisely the inertial $\alpha-XY$ model, is numerically studied with the coupling constant decaying as $r^{-\alpha}$. The conductance ($
Externí odkaz:
http://arxiv.org/abs/2407.13843
In this paper, we propose a unified framework for identifying interpretable nonlinear dynamical models that preserve physical properties. The proposed approach integrates physical principles with black-box basis functions to compensate for unmodeled
Externí odkaz:
http://arxiv.org/abs/2405.18186
Autor:
Cañellas, Manuel Lage, Nguyen, Le, Mukherjee, Anirban, Casado, Constantino Álvarez, Wu, Xiaoting, Susarla, Praneeth, Sharifipour, Sasan, Jayagopi, Dinesh B., López, Miguel Bordallo
In the domain of non-contact biometrics and human activity recognition, the lack of a versatile, multimodal dataset poses a significant bottleneck. To address this, we introduce the Oulu Multi Sensing (OMuSense-23) dataset that includes biosignals ob
Externí odkaz:
http://arxiv.org/abs/2407.06137
Video-based remote photoplethysmography (rPPG) has emerged as a promising technology for non-contact vital sign monitoring, especially under controlled conditions. However, the accurate measurement of vital signs in real-world scenarios faces several
Externí odkaz:
http://arxiv.org/abs/2405.01230