135,351 results on '"Viana A."'
Search Results
2. Basin entropy and the impact of the escape positioning in an open area-preserving map
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Haerter, P., Viana, R. L., and Sanjuán, M. A. F.
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Nonlinear Sciences - Chaotic Dynamics - Abstract
The main properties of a dynamical system can be analyzed by examining the corresponding basins, either attraction basins in dissipative systems or escape basins in open Hamiltonian systems and area-preserving maps. In the latter case, the selection of the openings is crucial, as the way exits are chosen can directly influence the results. This study explores the impact of different opening choices on the escape basins by employing a model of particles transported along field lines in tokamaks with reversed shear. We quantitatively evaluate these phenomena using the concept of basin entropy across various system configurations. Our findings reveal that the positioning of the exits significantly affects the complexity and behavior of the escape basins, with remarkable abrupt changes in basin entropy linked to the choice of exits.
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- 2024
3. Making Data: The Work Behind Artificial Intelligence
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Braz, Matheus Viana, Tubaro, Paola, and Casilli, Antonio A.
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Computer Science - Human-Computer Interaction ,Computer Science - Computers and Society - Abstract
AI generates both enthusiasm and disillusionment, with promises that often go unfulfilled. It is therefore not surprising that human labor, which is its fundamental component, is also subject to these same deceptions. The development of "smart technologies" depends, at different stages, on a multitude of precarious, underpaid and invisible workers, who, dispersed globally, carry out repetitive, fragmented activities, paid per task and completed in a few seconds. These are workers who label data to train algorithms, through tasks that require the intuitive, creative and cognitive abilities of human beings, such as categorizing images, classifying advertisements, transcribing audio and video, evaluating advertisements, moderating content on social media, labeling human anatomical points of interest, digitizing documents, etc. This form of work is often referred to as "microwork". Our contribution, which documents the conditions of microwork in Brazil and offers portraits of the workers, is a step in the wider effort to overcome the current state of invisibilization. It opens up avenues for future research, with the aim of better characterizing this new form of work, tracing its changes over time in relation to the dynamics of globalization and, ideally, identifying levers for action and transitions., Comment: in Portuguese language
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- 2024
4. Identifying ballistic modes via Poincar\'e sections
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Bósio, André Farinha, Caldas, Iberê Luiz, Viana, Ricardo Luiz, and Elskens, Yves
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Nonlinear Sciences - Chaotic Dynamics ,Physics - Computational Physics - Abstract
Exploring chaotic systems via Poincar\'e sections has proven essential in dynamical systems, yet measuring their characteristics poses challenges to identify the various dynamical regimes considered. In this paper, we propose a new approach that uses image processing to distinguish chaotic and regular regions of area-preserving dynamics, and then classify the transport regime. We characterize different transport regimes in the standard map with the proposed method based on image reconstruction techniques, identifying the superdiffusion much faster than the usual mean square displacement method. The procedure is also applied to a two-wave, time-dependent Hamiltonian to investigate superdiffusion in function of two parameters.
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- 2024
5. Management and Visualization Tools for Emergency Medical Services
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Guigues, Vincent, Kleywegt, Anton, Nascimento, Victor Hugo, Rodrigues, Victor Salles, Viana, Thais, and Medeiros, Edson
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Computer Science - Human-Computer Interaction - Abstract
This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, and the animation of ambulance movements under the control of various dispatch methods in response to these emergencies. The tool incorporates statistical models for forecasting emergency locations and call arrival times, the simulation of emergency arrivals and ambulance movement trajectories, and the computation and visualization of performance metrics such as ambulance response time distributions. Data for the Rio de Janeiro Emergency Medical Service are available on the website. A user can upload emergency data for any Emergency Medical Service, and can then use the visualization tool to explore the uploaded data. A user can also use the statistical tools and/or the simulation tool with any of the dispatch methods provided, and can then use the visualization tool to explore the computational output. Future enhancements include the ability of a user to embed additional dispatch algorithms into the simulation; the tool can then be used to visualize the simulation results obtained with the newly embedded algorithms.
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- 2024
6. Operator $\Delta-aS$ on warped product manifolds
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Barbosa, Ezequiel, Souza, Mateus, and Viana, Celso
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Mathematics - Differential Geometry - Abstract
In this work we studied the stability of the family of operators $L_a=\Delta-aS$, $a\in\mathbb R$, in a warped product of an infinite interval or real line by one compact manifold, where $\Delta$ is the Laplacian and $S$ is the scalar curvature of the resulting manifold.
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- 2024
7. On the semilinear heat equation with the Grushin operator
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Oliveira, Geronimo and Viana, Arlúcio
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Mathematics - Analysis of PDEs ,Mathematical Physics ,35H20, 35B44, 47D06, 35K58, 35B60, 35B09 - Abstract
In this work, we study the heat equation with Grushin's operator. We present an expression for its heat kernel and get regularity properties and decay on $L^p$ spaces for both heat Kernel and semigroup associated to Grushin's operator. Next, we use the results to prove the existence, uniqueness, continuous dependence and blowup alternative of mild solutions of a nonlinear Cauchy's problem associated to Grushin's operator.
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- 2024
8. Probing the chirality of a single microsphere trapped by a focused vortex beam through their orbital period
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Diniz, Kainã, Schoger, Tanja, Fonseca, Arthur L., Dutra, Rafael S., Ether Jr, Diney S., Ingold, Gert-Ludwig, Pinheiro, Felipe A., Viana, Nathan B., and Neto, Paulo A. Maia
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Physics - Optics - Abstract
When microspheres are illuminated by tightly focused vortex beams, they can be trapped in a non-equilibrium steady state where they orbit around the optical axis. By using the Mie-Debye theory for optical tweezers, we demonstrate that the orbital period strongly depends on the particle's chirality index. Taking advantage of such sensitivity, we put forth a method to experimentally characterize with high precision the chiroptical response of individual optically trapped particles. The method allows for an enhanced precision at least one order of magnitude larger than that of similar existing enantioselective approaches. It is particularly suited to probe the chiroptical response of individual particles, for which light-chiral matter interactions are typically weak.
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- 2024
9. Effective transport barriers in the biquadratic nontwist map
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Grime, Gabriel C., Viana, Ricardo L., and Caldas, Yves Elskens Iberê L.
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Nonlinear Sciences - Chaotic Dynamics ,Physics - Classical Physics - Abstract
Nontwist area-preserving maps violate the twist condition at specific orbits, resulting in shearless invariant curves that prevent chaotic transport. Plasmas and fluids with nonmonotonic equilibrium profiles may be described using nontwist systems, where even after these shearless curves breakdown, effective transport barriers persist, partially reducing transport coefficients. Some nontwist systems present multiple shearless curves in phase space, increasing the complexity of transport phenomena, which have not been thoroughly investigated until now. In this work, we examine the formation of effective transport barriers in a nontwist area-preserving mapping with multiple shearless transport barriers. By quantifying the effectiveness of each transport barrier in phase space, we identified two scenarios where particular barriers dominate over others. Our results also reveal configurations where the interplay of two transport barriers creates regions in phase space with significant orbit trapping, thereby influencing the overall transport dynamics.
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- 2024
10. Reconciling Kubo and Keldysh Approaches to Fermi-Sea-Dependent Nonequilibrium Observables: Application to Spin Hall Current and Spin-Orbit Torque in Spintronics
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Joao, Simao M., Petrovic, Marko D., Lopes, J. M. Viana Parente, Ferreira, Aires, and Nikolic, Branislav K.
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Condensed Matter - Mesoscale and Nanoscale Physics ,Physics - Applied Physics ,Physics - Computational Physics - Abstract
Quantum transport studies of spin-dependent phenomena in solids commonly employ the Kubo or Keldysh formulas for the steady-state density matrix in the linear-response regime. Its trace with operators of interest -- such as, spin density, spin current density or spin torque -- gives expectation values of experimentally accessible observables. For such local quantities, these formulas require summing over the manifolds of {\em both} Fermi-surface and Fermi-sea quantum states. However, debates have been raging in the literature about vastly different physics the two formulations can apparently produce, even when applied to the same system. Here, we revisit this problem using a testbed of infinite-size graphene with proximity-induced spin-orbit and magnetic exchange effects. By splitting this system into semi-infinite leads and central active region, in the spirit of Landauer two-terminal setup for quantum transport, we prove the {\em numerically exact equivalence} of the Kubo and Keldysh approaches via the computation of spin Hall current density and spin-orbit torque in both clean and disordered limits. The key to reconciling the two approaches are the numerical frameworks we develop for: ({\em i}) evaluation of Kubo(-Bastin) formula for a system attached to semi-infinite leads, which ensure continuous energy spectrum and evade the need for phenomenological broadening in prior calculations; and ({\em ii}) proper evaluation of Fermi-sea term in the Keldysh approach, which {\em must} include the voltage drop across the central active region even if it is disorder free., Comment: 9 pages, 3 figures, 111 references
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- 2024
11. Shearless bifurcations for two isochronous resonant perturbations
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Leal, Bruno B., Lazarotto, Matheus J., Mugnaine, Michele, de Almeida, Alfredo M. Ozorio, Viana, Ricardo L., and Caldas, Iberê L.
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Nonlinear Sciences - Chaotic Dynamics - Abstract
In nontwist systems, primary shearless curves act as barriers to chaotic transport. Surprisingly, the onset of secondary shearless curves has been reported in a few twist systems. Meanwhile, we found that, in twist systems, the onset of these secondary shearless curves is a standard process that may appear as control parameters are varied in situations where there is resonant mode coupling. Namely, we analyze these shearless bifurcations in two-harmonic systems for the standard map, the Ullmann map, and for the Walker-Ford Hamiltonian flow. The onset of shearless curves is related to bifurcations of periodic points. Furthermore, depending on the bifurcation, these shearless curves can emerge alone or in pairs, and in some cases, deform into separatrices.
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- 2024
12. Rydberg atom-based microwave electrometry using polarization spectroscopy
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Gomes, Naomy Duarte, Pepino, Vinicius Marrara, Borges, Ben-Hur Viana, Magalhães, Daniel Varela, Napolitano, Reginaldo de Jesus, Torres, Manuel Alejandro Lefrán, Kondo, Jorge Douglas Massayuki, and Marcassa, Luis Gustavo
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Physics - Atomic Physics - Abstract
In this study, we investigated Rydberg atom-based microwave electrometry using polarization spectroscopy in a room-temperature vapor cell. By measuring Autler-Townes splitting in the electromagnetically induced transparency (EIT) spectrum, we determined that the minimum measurable microwave electric field is approximately five times lower than conventional EIT techniques. The results are well reproduced by a full optical Bloch equation model, which takes into account all the hyperfine levels involved. Subsequently, the EIT setup was used to characterize a custom microwave cylindrical lens, which increases the field at the focus by a factor of three, decreasing the minimum measurable microwave electric field by the same amount. Our results indicate that the combination of polarization spectroscopy and a microwave lens may enhance microwave electrometry.
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- 2024
13. Larmor radius effect on the control of chaotic transport in tokamaks
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Osorio-Quiroga, L. A., Roberto, M., Viana, R. L., Elskens, Y., and Caldas, I. L.
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Physics - Plasma Physics - Abstract
We introduce a second-order gyro-averaged extension to a guiding-center transport model for test particles subject to an $\mathbf{E}\times\mathbf{B}$ drift in a tokamak. Using this approximation, we numerically investigate the influence of finite Larmor radius effects on the chaotic transport and the formation of transport barriers. For non-monotonic plasma profiles, we show that the twist condition of the system is violated along a curve, usually called shearless transport barrier, which, under non-equilibrium conditions, exhibits significant resilience to destruction, thereby inhibiting chaotic transport. We analyze bifurcation diagrams of the shearless barriers and escape rates to explore the impact of the Larmor radius on controlling chaotic transport while varying the amplitude of electrostatic perturbations. Our findings show that increasing the Larmor radius enhances the robustness of transport barriers, as a larger electrostatic perturbation amplitude is required to disrupt them. Additionally, even in the absence of transport barriers, we observe a decrease in chaotic transport with an increase in the Larmor radius., Comment: Submitted to Physics of Plasmas
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- 2024
14. Entanglement of photonic modes from a continuously driven two-level system
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Yang, Jiaying, Strandberg, Ingrid, Vivas-Viana, Alejandro, Gaikwad, Akshay, Castillo-Moreno, Claudia, Kockum, Anton Frisk, Ullah, Muhammad Asad, Munoz, Carlos Sanchez, Eriksson, Axel Martin, and Gasparinetti, Simone
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Quantum Physics - Abstract
The ability to generate entangled states of light is a key primitive for quantum communication and distributed quantum computation. Continuously driven sources, including those based on spontaneous parametric downconversion, are usually probabilistic, whereas deterministic sources require accurate timing of the control fields. Here, we experimentally generate entangled photonic modes by continuously exciting a quantum emitter, a superconducting qubit, with a coherent drive, taking advantage of mode matching in the time and frequency domain. Using joint quantum state tomography and logarithmic negativity, we show that entanglement is generated between modes extracted from the two sidebands of the resonance fluorescence spectrum. Because the entangled photonic modes are perfectly orthogonal, they can be transferred into distinct quantum memories. Our approach can be utilized to distribute entanglement at a high rate in various physical platforms, with applications in waveguide quantum electrodynamics, distributed quantum computing, and quantum networks.
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- 2024
15. Shearless effective barriers to chaotic transport induced by even twin islands in nontwist systems
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Mugnaine, M., Szezech Jr., J. D., Viana, R. L., Caldas, I. L., and Morrison, P. J.
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Nonlinear Sciences - Chaotic Dynamics - Abstract
For several decades now it has been known that systems with shearless invariant tori, nontwist Hamiltonian systems, possess barriers to chaotic transport. These barriers are resilient to breakage under perturbation and therefore regions where they occur are natural places to look for barriers to transport. We describe a novel kind of effective barrier that persists after the shearless torus is broken. Because phenomena are generic, for convenience we study the Standard Nontwist Map (SNM), an area-preserving map that violates the twist condition locally in the phase space. The novel barrier occurs in nontwist systems when twin even period islands are present, which happens for a broad range of parameter values in the SNM. With a phase space composed of regular and irregular orbits, the movement of chaotic trajectories is hampered by the existence of both shearless curves, total barriers, and a network of partial barriers formed by the stable and unstable manifolds of the hyperbolic points. Being a degenerate system, the SNM has twin islands and, consequently, twin hyperbolic points. We show that the structures formed by the manifolds intrinsically depend on period parity of the twin islands. For this even scenario the novel structure, named a torus free barrier, occurs because the manifolds of different hyperbolic points form an intricate chain atop a dipole configuration and the transport of chaotic trajectories through the chain becomes a rare event. This structure impacts the emergence of transport, the escape basin for chaotic trajectories, the transport mechanism and the chaotic saddle. The case of odd periodic orbits is different: we find for this case the emergence of transport immediately after the breakup of the last invariant curve, and this leads to a scenario of higher transport, with intricate escape basin boundary and a chaotic saddle with non-uniformly distributed points.
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- 2024
16. Absence of a Correlation between White Dwarf Planetary Accretion and Primordial Stellar Metallicity
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Jenkins, Sydney, Vanderburg, Andrew, Bieryla, Allyson, Latham, David W., Badenas-Agusti, Mariona, Berlind, Perry, Blouin, Simon, Buchhave, Lars A., Calkins, Michael L., Esquerdo, Gilbert A., and Viaña, Javier
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Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Solar and Stellar Astrophysics - Abstract
Over a quarter of white dwarfs have photospheric metal pollution, which is evidence for recent accretion of exoplanetary material. While a wide range of mechanisms have been proposed to account for this pollution, there are currently few observational constraints to differentiate between them. To investigate the driving mechanism, we observe a sample of polluted and non-polluted white dwarfs in wide binary systems with main-sequence stars. Using the companion stars' metallicities as a proxy for the white dwarfs' primordial metallicities, we compare the metallicities of polluted and non-polluted systems. Because there is a well-known correlation between giant planet occurrence and higher metallicity (with a stronger correlation for close-in and eccentric planets), these metallicity distributions can be used to probe the role of gas giants in white dwarf accretion. We find that the metallicity distributions of polluted and non-polluted systems are consistent with the hypothesis that both samples have the same underlying metallicity distribution. However, we note that this result is likely biased by several selection effects. Additionally, we find no significant trend between white dwarf accretion rates and metallicity. These findings suggest that giant planets are not the dominant cause of white dwarf accretion events in binary systems., Comment: 17 pages, 9 figures, accepted to MNRAS
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- 2024
17. User Story Tutor (UST) to Support Agile Software Developers
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Neo, Giseldo da Silva, Moura, José Antão Beltrão, de Almeida, Hyggo Oliveira, Neo, Alana Viana Borges da Silva, and Júnior, Olival de Gusmão Freitas
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Computer Science - Software Engineering ,Computer Science - Artificial Intelligence - Abstract
User Stories record what must be built in projects that use agile practices. User Stories serve both to estimate effort, generally measured in Story Points, and to plan what should be done in a Sprint. Therefore, it is essential to train software engineers on how to create simple, easily readable, and comprehensive User Stories. For that reason, we designed, implemented, applied, and evaluated a web application called User Story Tutor (UST). UST checks the description of a given User Story for readability, and if needed, recommends appropriate practices for improvement. UST also estimates a User Story effort in Story Points using Machine Learning techniques. As such UST may support the continuing education of agile development teams when writing and reviewing User Stories. UST's ease of use was evaluated by 40 agile practitioners according to the Technology Acceptance Model (TAM) and AttrakDiff. The TAM evaluation averages were good in almost all considered variables. Application of the AttrakDiff evaluation framework produced similar good results. Apparently, UST can be used with good reliability. Applying UST to assist in the construction of User Stories is a viable technique that, at the very least, can be used by agile developments to complement and enhance current User Story creation.
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- 2024
- Full Text
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18. A New Approach for Evaluating and Improving the Performance of Segmentation Algorithms on Hard-to-Detect Blood Vessels
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Parella, João Pedro, da Silva, Matheus Viana, and Comin, Cesar Henrique
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Computer Science - Computer Vision and Pattern Recognition ,Computer Science - Machine Learning - Abstract
Many studies regarding the vasculature of biological tissues involve the segmentation of the blood vessels in a sample followed by the creation of a graph structure to model the vasculature. The graph is then used to extract relevant vascular properties. Small segmentation errors can lead to largely distinct connectivity patterns and a high degree of variability of the extracted properties. Nevertheless, global metrics such as Dice, precision, and recall are commonly applied for measuring the performance of blood vessel segmentation algorithms. These metrics might conceal important information about the accuracy at specific regions of a sample. To tackle this issue, we propose a local vessel salience (LVS) index to quantify the expected difficulty in segmenting specific blood vessel segments. The LVS index is calculated for each vessel pixel by comparing the local intensity of the vessel with the image background around the pixel. The index is then used for defining a new accuracy metric called low-salience recall (LSRecall), which quantifies the performance of segmentation algorithms on blood vessel segments having low salience. The perspective provided by the LVS index is used to define a data augmentation procedure that can be used to improve the segmentation performance of convolutional neural networks. We show that segmentation algorithms having high Dice and recall values can display very low LSRecall values, which reveals systematic errors of these algorithms for vessels having low salience. The proposed data augmentation procedure is able to improve the LSRecall of some samples by as much as 25%. The developed methodology opens up new possibilities for comparing the performance of segmentation algorithms regarding hard-to-detect blood vessels as well as their capabilities for vascular topology preservation.
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- 2024
19. Prospects for the detection of Dark Matter with Long-lived Mediators in the Sun using the Southern Wide-field Gamma-ray Observatory
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Andrade, Micael, Fagiani, Juan, Siqueira, Clarissa, de Souza, Vitor, and Viana, Aion
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Astrophysics - High Energy Astrophysical Phenomena ,High Energy Physics - Phenomenology - Abstract
The operation of the next generation of gamma-ray observatories will lead to a great advance in dark matter searches. In this paper, we use the hidden sectors hypothesis within the so-called secluded models to calculate the capabilities of the Southern Wide-field Gamma-ray Observatory (SWGO) to detect gamma-ray signatures produced by dark matter particles concentrated in the Sun. We assume the dark matter particle annihilates into metastable mediators which decay into $\gamma\gamma$, $e^+e^-$, $\tau^+\tau^-$, and $\bar{b}b$ outside the Sun. We found that the SWGO will be able to probe a spin-dependent cross-section of about $10^{-46}$ cm$^2$ for dark matter masses smaller than 5 TeV. This result shows an unprecedented sensitivity surpassing the current instruments by more than one order of magnitude., Comment: 15 pages, 3 figures
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- 2024
20. Ratchet current and scaling properties in a nontwist mapping
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Sales, Matheus Rolim, Borin, Daniel, de Souza, Leonardo Costa, Szezech Jr., José Danilo, Viana, Ricardo Luiz, Caldas, Iberê Luiz, and Leonel, Edson Denis
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Nonlinear Sciences - Chaotic Dynamics - Abstract
We investigate the transport of particles in the chaotic component of phase space for a two-dimensional, area-preserving nontwist map. The survival probability for particles within the chaotic sea is described by an exponential decay for regions in phase space predominantly chaotic and it is scaling invariant in this case. Alternatively, when considering mixed chaotic and regular regions, there is a deviation from the exponential decay, characterized by a power law tail for long times, a signature of the stickiness effect. Furthermore, due to the asymmetry of the chaotic component of phase space with respect to the line $I = 0$, there is an unbalanced stickiness which generates a ratchet current in phase space. Finally, we perform a phenomenological description of the diffusion of chaotic particles by identifying three scaling hypotheses, and obtaining the critical exponents via extensive numerical simulations.
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- 2024
21. Front-propagation Algorithm: Explainable AI Technique for Extracting Linear Function Approximations from Neural Networks
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Viaña, Javier
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Computer Science - Artificial Intelligence ,Computer Science - Machine Learning ,68T07 - Abstract
This paper introduces the front-propagation algorithm, a novel eXplainable AI (XAI) technique designed to elucidate the decision-making logic of deep neural networks. Unlike other popular explainability algorithms such as Integrated Gradients or Shapley Values, the proposed algorithm is able to extract an accurate and consistent linear function explanation of the network in a single forward pass of the trained model. This nuance sets apart the time complexity of the front-propagation as it could be running real-time and in parallel with deployed models. We packaged this algorithm in a software called $\texttt{front-prop}$ and we demonstrate its efficacy in providing accurate linear functions with three different neural network architectures trained on publicly available benchmark datasets., Comment: 14 pages, 6 figures. Accepted for publication in: Barnabas Bede, Kelly Cohen, and Vladik Kreinovich (eds.), Proceedings of the NAFIPS International Conference on Fuzzy Systems, Soft Computing, and Explainable AI. NAFIPS'2024, South Padre Island, Texas, May 27-29, 2024
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- 2024
22. Design Implications for a Social and Collaborative Understanding of online Information Assessment Practices, Challenges and Heuristics
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Vlachokyriakos, Vasilis, Johnson, Ian G., Anderson, Robert, Claisse, Caroline, Zhang, Viana, and Briggs, Pamela
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Computer Science - Human-Computer Interaction - Abstract
The broader adoption of social media platforms (e.g., TikTok), combined with recent developments in Generative AI (GAI) technologies has had a transformative effect on many peoples' ability to confidently assess the veracity and meaning of information online. In this paper, building on recent related work that surfaced the social ways that young people evaluate information online, we explore the decision-making practices, challenges and heuristics involved in young adults' assessments of information online. To do so, we designed and conducted a novel digital diary study, followed by data-informed interviews with young adults. Our findings uncover the information practices of young adults including the social and emotional motivations for ignoring, avoiding, and engaging with online information and the ways this is entangled with collaborative arrangements with algorithms as agents. In our discussion we bring these findings in close dialogue with work on information sensibility and contribute rich insights into young peoples' information sensibility practices embedded within social worlds. Finally, we surface how such practices are attuned to prioritise wellbeing over convenience or other commonly associated sufficing heuristics., Comment: To be published in Proceedings of ECSCW 2024, Rimini, Italy
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- 2024
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23. Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil
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Brito, Carlos, de Araujo Mariz, Carolline, Freitas de Oliveira França, Rafael, Lopes, Edmundo Pessoa, Silva, Laura Emanuelle, Neto, Roberto Lins, Viana, Isabelle Freire, Montarroyos, Ulisses, Duarte, Claudio, Lacerda, Heloisa Ramos, de Brito Ximenes, Pamella, de Oliveira Viana, Rafael Cabral, Lima, Rayssa Gatis Dámorim, Carneiro, Ananda Paiva Santos, and Braga, Cynthia
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- 2024
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24. Adaptive Learning in Computer Science Education: A Scoping Review
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Pedro Luis Saraiva Barbosa, Rafael Augusto Ferreira do Carmo, João P. P. Gomes, and Windson Viana
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Adaptive learning is a teaching approach aiming to personalize the learning experience for each student. In Computer Science Education (CSE), Adaptive Learning Systems (ALS) can provide students with customized lessons, exercises, and assessments based on their previous knowledge, strengths, and weaknesses. Some literature reviews focus on adaptive learning techniques, but none specifically analyze the methods used in adaptive systems in CSE. Our overall objective is to identify the computing techniques that are implemented within ALS to provide adaptive computer education in higher education. We conducted a scoping review (SR) based on the Guidelines for performing Systematic Literature Reviews in Software Engineering, defining six research questions and a search string. We performed searches in four databases, retrieving 512 documents. After applying the selection criteria, we selected 29 works. The results present quantitative and qualitative data from those 29 studies. Most research has used adaptive learning in programming education (12 articles) and databases (9 papers). Nine articles used learning styles as the core of adaptation, with the Felder-Silverman model being used by seven of them. The most commonly used approach was the rule-based system approach built by experts within the proposal, which was used in 17.24% of the articles. Clustering, collaborative filtering, fuzzy logic, and K-NN were used in 10.34% of the proposals. The positive aspect of "delivering adaptive content" was pointed out in seven articles. As for negative aspects, the problem of lack of student engagement was mentioned in four articles. This study discusses the application of dynamic and static models based on learning styles (LS) and the challenges involved in their use. Additionally, another aspect pointed out is that it is crucial to carefully consider pedagogical aspects in learning systems and have mixed development teams. The study also discusses student motivation and the use of gamification elements as a strategy to engage students in electronic learning systems. Finally, the results also indicate that the level of student knowledge is typically represented by a student model (SM), and the growing trend is the use of hybrid SMs. The research identified the most studied areas in ALS in CSE, such as computer programming and databases. The most common techniques used in ALS were rule-based systems built by experts, fuzzy logic, and clustering. The most common feature of ALS identified was learning resources, and the majority of studies focused on investigating the impact of system accuracy. This research can help researchers design better adaptive learning systems and understand challenges that need to be addressed.
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- 2024
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25. BSMPT v3 A Tool for Phase Transitions and Primordial Gravitational Waves in Extended Higgs Sectors
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Basler, Philipp, Biermann, Lisa, Mühlleitner, Margarete, Müller, Jonas, Santos, Rui, and Viana, João
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High Energy Physics - Phenomenology - Abstract
Strong first-order phase transitions (SFOPT) during the evolution of the Higgs potential in the early universe not only allow for the dynamical generation of the observed matter-antimatter asymmetry, they can also source a stochastic gravitational wave (GW) background possibly detectable with future space-based gravitational waves interferometers. As SFOPTs are phenomenologically incompatible with the Standard Model (SM) Higgs sector, the observation of GWs from SFOPTs provides an exciting interplay between cosmology and particle physics in the search for new physics. With the C++ code BSMPTv3, we present for the first time a tool that performs the whole chain from the particle physics model to the gravitational wave spectrum. Extending the previous versions BSMPTv1 and v2, it traces the phases of beyond-SM (BSM) Higgs potentials and is capable of treating multiple vacuum directions and multi-step phase transitions. During the tracing, it checks for discrete symmetries, flat directions, and electroweak symmetry restoration, and finally reports the transition history. The transition probability from the false to the true vacuum is obtained from the solution of the bounce equation which allows for the calculation of the nucleation, percolation and completion temperatures. The peak amplitude and frequency of the GWs originating from sound waves and turbulence, are evaluated after the calculation of the thermal parameters at the transition temperature, and finally the signal-to-noise ratio at LISA is provided. The code BSMPTv3 is a powerful self-contained tool that comes more than timely and will be of great benefit for investigations of the vacuum structure of the early universe of not only simple but also complicated Higgs potentials involving several vacuum directions, with exciting applications in the search for new physics., Comment: 78 pages, 13 figures, 4 tables
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- 2024
26. Carleman estimates for parabolic equations with super strong degeneracy in a set of positive measure
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Araújo, Bruno S. V., Demarque, Reginaldo, Faria, Josiane C. O., and Viana, Luiz
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Mathematics - Analysis of PDEs ,35K65, 93B05, 93C05, 93B07 - Abstract
This work is concerned with the obtainment of new Carleman estimates for linear parabolic equations, where the second-order differential operator brings a super strong degeneracy in a positive measure subset of the spatial domain. In order to prove our main result, the control domain is supposed to contain the set of degeneracies. As a well-known consequence, we achieve a null controllability result in the current context.
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- 2024
27. Sensitivity to sub-GeV dark matter from cosmic-ray scattering with very-high-energy gamma-ray observatories
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Reis, Igor, Moulin, Emmanuel, Viana, Aion, and Goncalves, Victor P.
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High Energy Physics - Phenomenology - Abstract
Huge efforts have been deployed to detect dark matter (DM) in the GeV-TeV mass range involving various detection techniques, and led to strong constraints in the available parameter space. We compute here the sensitivity to sub-GeV DM that can be probed from the inevitable cosmic-ray scattering onto DM particles populating the Milky Way halo. Inelastic scattering of energetic cosmic rays off DM would produce high-energy gamma rays in the final state, providing a new avenue to probe the poorly-constrained so far sub-GeV dark matter mass range. In this work we derive sensitivity forecasts for the inelastic cosmic-ray proton - DM cross section for current and future very-high-energy gamma-ray observatories such as H.E.S.S., LHAASO, CTA and SWGO in the 100 eV to 100 MeV mass range. These inelastic cross section constraints are converted to the elastic proton - DM cross section to highlight further complementarity with cosmological, collider and direct detection searches. The sensitivity computed at 95\% confidence level on the elastic cross section reaches $\sim$2$\times$ 10$^{-32}$ cm$^2$ for a 100 keV DM mass for H.E.S.S.-like and $\sim$7$\times$ 10$^{-34}$ cm$^2$ for a $\sim$1 keV DM mass for LHAASO. The sensitivity prospects for CTA and a strawman SWGO model reach $\sim$6$\times$ 10$^{-34}$ cm$^2$ and $\sim$4$\times$ 10$^{-35}$ cm$^2$, for DM masses of 10 keV and 1 keV, respectively. The sensitivity reach of the gamma-ray observatories considered here enables to probe an uncharted region of the DM mass - cross section parameter space., Comment: 21 pages, 8 figures. Accepted for publication in JCAP
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- 2024
28. The XMM Cluster Survey: Automating the estimation of hydrostatic mass for large samples of galaxy clusters I -- Methodology, Validation, & Application to the SDSSRM-XCS sample
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Turner, D. J., Giles, P. A., Romer, A. K., Pilling, J., Lingard, T. K., Wilkinson, R., Hilton, M., Upsdell, E. W., Al-Serkal, R., Cheng, T., Eappen, R., Rooney, P. J., Bhargava, S., Collins, C. A., Mayers, J., Miller, C., Nichol, R. C., Sahén, M., and Viana, P. T. P.
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Astrophysics - Cosmology and Nongalactic Astrophysics ,Astrophysics - Astrophysics of Galaxies - Abstract
We describe features of the X-ray: Generate and Analyse (XGA) open-source software package that have been developed to facilitate automated hydrostatic mass ($M_{\rm hydro}$) measurements from XMM X-ray observations of clusters of galaxies. This includes describing how XGA measures global, and radial, X-ray properties of galaxy clusters. We then demonstrate the reliability of XGA by comparing simple X-ray properties, namely the X-ray temperature and gas mass, with published values presented by the XMM Cluster Survey (XCS), the Ultimate XMM eXtragaLactic survey project (XXL), and the Local Cluster Substructure Survey (LoCuSS). XGA measured values for temperature are, on average, within 1% of the values reported in the literature for each sample. XGA gas masses for XXL clusters are shown to be ${\sim}$10% lower than previous measurements (though the difference is only significant at the $\sim$1.8$\sigma$ level), LoCuSS $R_{2500}$ and $R_{500}$ gas mass re-measurements are 3% and 7% lower respectively (representing a 1.5$\sigma$ and 3.5$\sigma$ difference). Like-for-like comparisons of hydrostatic mass are made to LoCuSS results, which show that our measurements are $10{\pm}3%$ ($19{\pm}7%$) higher for $R_{2500}$ ($R_{500}$). The comparison between $R_{500}$ masses shows significant scatter. Finally, we present new $M_{\rm hydro}$ measurements for 104 clusters from the SDSS DR8 redMaPPer XCS sample (SDSSRM-XCS). Our SDSSRM-XCS hydrostatic mass measurements are in good agreement with multiple literature estimates, and represent one of the largest samples of consistently measured hydrostatic masses. We have demonstrated that XGA is a powerful tool for X-ray analysis of clusters; it will render complex-to-measure X-ray properties accessible to non-specialists., Comment: 24 pages (18 + 6 appendices), 15 figures, submitted to MNRAS; see https://github.com/DavidT3/XCS-Mass-Paper-I-Analysis for the code and samples
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- 2024
29. Dark Matter Line Searches with the Cherenkov Telescope Array
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Abe, S., Abhir, J., Abhishek, A., Acero, F., Acharyya, A., Adam, R., Aguasca-Cabot, A., Agudo, I., Aguirre-Santaella, A., Alfaro, J., Alfaro, R., Alvarez-Crespo, N., Batista, R. Alves, Amans, J. -P., Amato, E., Ambrosi, G., Angel, L., Aramo, C., Arcaro, C., Arnesen, T. T. H., Arrabito, L., Asano, K., Ascasibar, Y., Aschersleben, J., Ashkar, H., Backes, M., Baktash, A., Balazs, C., Balbo, M., Larriva, A. Baquero, Martins, V. Barbosa, de Almeida, U. Barres, Barrio, J. A., Batković, I., Batzofin, R., Baxter, J., González, J. Becerra, Beck, G., Benbow, W., Berge, D., Bernardini, E., Bernete, J., Bernlöhr, K., Berti, A., Bertucci, B., Bhattacharjee, P., Bhattacharyya, S., Bigongiari, C., Biland, A., Bissaldi, E., Biteau, J., Blanch, O., Blazek, J., Bocchino, F., Boisson, C., Bolmont, J., Bonnoli, G., Bonollo, A., Bordas, P., Bosnjak, Z., Bottacini, E., Böttcher, M., Bringmann, T., Bronzini, E., Brose, R., Brown, A. M., Brunelli, G., Bulgarelli, A., Bulik, T., Burelli, I., Burmistrov, L., Burton, M., Buscemi, M., Bylund, T., Cailleux, J., Campoy-Ordaz, A., Cantlay, B. K., Capasso, G., Caproni, A., Capuzzo-Dolcetta, R., Caraveo, P., Caroff, S., Carosi, A., Carosi, R., Carquin, E., Carrasco, M. -S., Cassol, F., Castaldini, L., Castrejon, N., Castro-Tirado, A. J., Cerasole, D., Cerruti, M., Chadwick, P. M., Chaty, S., Chen, A. W., Chernyakova, M., Chiavassa, A., Chudoba, J., Chytka, L., Cicciari, G. M., Cifuentes, A., Araujo, C. H. Coimbra, Colapietro, M., Conforti, V., Conte, F., Contreras, J. L., Costa, A., Costantini, H., Cotter, G., Cristofari, P., Cuevas, O., Curtis-Ginsberg, Z., D'Amico, G., D'Ammando, F., Dai, S., Dalchenko, M., Dazzi, F., De Angelis, A., de Lavergne, M. de Bony, De Caprio, V., Pino, E. M. de Gouveia Dal, De Lotto, B., De Lucia, M., de Menezes, R., de Naurois, M., de Souza, V., del Peral, L., del Valle, M. V., Giler, A. G. Delgado, Mengual, J. Delgado, Delgado, C., Dell'aiera, M., della Volpe, D., Depaoli, D., Di Girolamo, T., Di Piano, A., Di Pierro, F., Di Tria, R., Di Venere, L., Díaz, C., Diebold, S., Dinesh, A., Djuvsland, J., Dominik, R. M., Prester, D. Dominis, Donini, A., Dorner, D., Dörner, J., Doro, M., Dournaux, J. -L., Duangchan, C., Dubos, C., Ducci, L., Dwarkadas, V. V., Ebr, J., Eckner, C., Egberts, K., Einecke, S., Elsässer, D., Emery, G., Errando, M., Escanuela, C., Escarate, P., Godoy, M. Escobar, Escudero, J., Esposito, P., Ettori, S., Falceta-Goncalves, D., Fedorova, E., Fegan, S., Feng, Q., Ferrand, G., Ferrarotto, F., Fiandrini, E., Fiasson, A., Filipovic, M., Fioretti, V., Fiori, M., Foffano, L., Guiteras, L. Font, Fontaine, G., Fröse, S., Fukazawa, Y., Fukui, Y., Furniss, A., Galanti, G., Galaz, G., Galelli, C., Gallozzi, S., Gammaldi, V., Garczarczyk, M., Gasbarra, C., Gasparrini, D., Ghalumyan, A., Gianotti, F., Giarrusso, M., Paiva, J. G. Giesbrecht Formiga, Giglietto, N., Giordano, F., Giuffrida, R., Glicenstein, J. -F., Glombitza, J., Goldoni, P., González, J. M., González, M. M., Coelho, J. Goulart, Gradetzke, T., Granot, J., Grasso, D., Grau, R., Gréaux, L., Green, D., Green, J. G., Grolleron, G., Guedes, L. M. V., Gueta, O., Hackfeld, J., Hadasch, D., Hamal, P., Hanlon, W., Hara, S., Harvey, V. M., Hassan, T., Hayashi, K., Heß, B., Heckmann, L., Heller, M., Cadena, S. Hernández, Hervet, O., Hinton, J., Hiroshima, N., Hnatyk, B., Hnatyk, R., Hofmann, W., Holder, J., Horan, D., Horvath, P., Hovatta, T., Hrabovsky, M., Hrupec, D., Iarlori, M., Inada, T., Incardona, F., Inoue, S., Inoue, Y., Iocco, F., Iori, M., Ishio, K., Jamrozy, M., Janecek, P., Jankowsky, F., Jean, P., Quiles, J. Jimenez, Jin, W., Juramy-Gilles, C., Jurysek, J., Kagaya, M., Kalekin, O., Karas, V., Katagiri, H., Kataoka, J., Kaufmann, S., Kazanas, D., Kerszberg, D., Kieda, D. B., Kleiner, T., Kluge, G., Kobayashi, Y., Kohri, K., Komin, N., Kornecki, P., Kosack, K., Kowal, G., Kubo, H., Kushida, J., La Barbera, A., La Palombara, N., Láinez, M., Lamastra, A., Lapington, J., Laporte, P., Lazarević, S., Lazendic-Galloway, J., Lemoine-Goumard, M., Lenain, J. -P., Leone, F., Leonora, E., Leto, G., Lindfors, E., Linhoff, M., Liodakis, I., Lipniacka, A., Lombardi, S., Longo, F., López-Coto, R., López-Moya, M., López-Oramas, A., Loporchio, S., Bahilo, J. Lozano, Luque-Escamilla, P. L., Macias, O., Majumdar, P., Mallamaci, M., Malyshev, D., Mandat, D., Manicò, G., Mariotti, M., Márquez, I., Marquez, P., Marsella, G., Martí, J., Martínez, G. A., Martínez, M., Martinez, O., Marty, C., Mas-Aguilar, A., Mastropietro, M., Mazin, D., Menchiari, S., Mestre, E., Meunier, J. -L., Meyer, D. M. -A., Meyer, M., Miceli, D., Miceli, M., Michailidis, M., Michałowski, J., Miener, T., Miranda, J. M., Mitchell, A., Mizote, M., Mizuno, T., Moderski, R., Molero, M., Molfese, C., Molina, E., Montaruli, T., Moralejo, A., Morcuende, D., Morselli, A., Moulin, E., Zamanillo, V. Moya, Munari, K., Murach, T., Muraczewski, A., Muraishi, H., Nakamori, T., Nayak, A., Nemmen, R., Neto, J. P., Nickel, L., Niemiec, J., Nieto, D., Rosillo, M. Nievas, Nikołajuk, M., Nikolić, L., Nishijima, K., Noda, K., Nosek, D., Novotny, V., Nozaki, S., Ohishi, M., Ohtani, Y., Okumura, A., Olive, J. -F., Ong, R. A., Orienti, M., Orito, R., Orlandini, M., Orlando, E., Orlando, S., Ostrowski, M., Otero-Santos, J., Oya, I., Pagano, I., Pagliaro, A., Palatiello, M., Panebianco, G., Paneque, D., Pantaleo, F. R., Paredes, J. M., Parmiggiani, N., Patricelli, B., Pe'er, A., Pech, M., Pecimotika, M., Pensec, U., Peresano, M., Pérez-Romero, J., Persic, M., Peters, K. P., Petruk, O., Piano, G., Pierre, E., Pietropaolo, E., Pihet, M., Pinchbeck, L., Pirola, G., Pittori, C., Plard, C., Podobnik, F., Pohl, M., Pollet, V., Ponti, G., Prandini, E., Principe, G., Priyadarshi, C., Produit, N., Prouza, M., Pueschel, E., Pühlhofer, G., Pumo, M. L., Queiroz, F., Quirrenbach, A., Rainò, S., Rando, R., Razzaque, S., Regeard, M., Reimer, A., Reimer, O., Reisenegger, A., Rhode, W., Ribeiro, D., Ribó, M., Ricci, C., Richtler, T., Rico, J., Rieger, F., Riitano, L., Rizi, V., Roache, E., Fernandez, G. Rodriguez, Frías, M. D. Rodríguez, Rodríguez-Vázquez, J. J., Romano, P., Romeo, G., Rosado, J., de Leon, A. Rosales, Rowell, G., Rudak, B., Ruiter, A. J., Rulten, C. B., Sadeh, I., Saha, L., Saito, T., Salzmann, H., Sánchez-Conde, M., Sandaker, H., Sangiorgi, P., Sano, H., Santander, M., Santos-Lima, R., Sapienza, V., Šarić, T., Sarkar, A., Sarkar, S., Saturni, F. G., Savarese, S., Scherer, A., Schiavone, F., Schipani, P., Schleicher, B., Schovanek, P., Schubert, J. L., Schwanke, U., Arroyo, M. Seglar, Seitenzahl, I. R., Sergijenko, O., Servillat, M., Siegert, T., Siejkowski, H., Siqueira, C., Sliusar, V., Slowikowska, A., Sol, H., Spencer, S. T., Spiga, D., Stamerra, A., Stanič, S., Starecki, T., Starling, R., Stawarz, Ł., Steppa, C., Hatlen, E. Sæther, Stolarczyk, T., Strišković, J., Suda, Y., Świerk, P., Tajima, H., Tak, D., Takahashi, M., Takeishi, R., Tavernier, T., Tejedor, L. A., Terauchi, K., Teshima, M., Testa, V., Tian, W. W., Tibaldo, L., Tibolla, O., Peixoto, C. J. Todero, Torradeflot, F., Torres, D. F., Tosti, G., Tothill, N., Toussenel, F., Tramacere, A., Travnicek, P., Tripodo, G., Trois, A., Truzzi, S., Tutone, A., Vaclavek, L., Vacula, M., Vallania, P., Vallés, R., van Eldik, C., van Scherpenberg, J., Vandenbroucke, J., Vassiliev, V., Acosta, M. Vázquez, Vecchi, M., Ventura, S., Vercellone, S., Verna, G., Viana, A., Viaux, N., Vigliano, A., Vignatti, J., Vigorito, C. F., Villanueva, J., Visentin, E., Vitale, V., Vodeb, V., Voisin, V., Voitsekhovskyi, V., Vorobiov, S., Voutsinas, G., Vovk, I., Vuillaume, T., Wagner, S. J., Walter, R., White, M., White, R., Wierzcholska, A., Will, M., Williams, D. A., Wohlleben, F., Wolter, A., Yamamoto, T., Yang, L., Yoshida, T., Yoshikoshi, T., Zaharijas, G., Zampieri, L., Sanchez, R. Zanmar, Zavrtanik, D., Zavrtanik, M., Zdziarski, A. A., Zech, A., Zhang, W., Zhdanov, V. I., Ziętara, K., Živec, M., and Zuriaga-Puig, J.
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High Energy Physics - Phenomenology ,Astrophysics - High Energy Astrophysical Phenomena ,High Energy Physics - Experiment - Abstract
Monochromatic gamma-ray signals constitute a potential smoking gun signature for annihilating or decaying dark matter particles that could relatively easily be distinguished from astrophysical or instrumental backgrounds. We provide an updated assessment of the sensitivity of the Cherenkov Telescope Array (CTA) to such signals, based on observations of the Galactic centre region as well as of selected dwarf spheroidal galaxies. We find that current limits and detection prospects for dark matter masses above 300 GeV will be significantly improved, by up to an order of magnitude in the multi-TeV range. This demonstrates that CTA will set a new standard for gamma-ray astronomy also in this respect, as the world's largest and most sensitive high-energy gamma-ray observatory, in particular due to its exquisite energy resolution at TeV energies and the adopted observational strategy focussing on regions with large dark matter densities. Throughout our analysis, we use up-to-date instrument response functions, and we thoroughly model the effect of instrumental systematic uncertainties in our statistical treatment. We further present results for other potential signatures with sharp spectral features, e.g.~box-shaped spectra, that would likewise very clearly point to a particle dark matter origin., Comment: 44 pages JCAP style (excluding author list and references), 19 figures; minor changes to match published version
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- 2024
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30. Vision-Radio Experimental Infrastructure Architecture Towards 6G
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Teixeira, Filipe B., Ricardo, Manuel, Coelho, André, Oliveira, Hélder P., Viana, Paula, Paulino, Nuno, Fontes, Helder, Marques, Paulo, Campos, Rui, and Pessoa, Luis M.
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Computer Science - Networking and Internet Architecture ,Electrical Engineering and Systems Science - Signal Processing - Abstract
Telecommunications and computer vision have evolved separately so far. Yet, with the shift to sub-terahertz (sub-THz) and terahertz (THz) radio communications, there is an opportunity to explore computer vision technologies together with radio communications, considering the dependency of both technologies on Line of Sight. The combination of radio sensing and computer vision can address challenges such as obstructions and poor lighting. Also, machine learning algorithms, capable of processing multimodal data, play a crucial role in deriving insights from raw and low-level sensing data, offering a new level of abstraction that can enhance various applications and use cases such as beamforming and terminal handovers. This paper introduces CONVERGE, a pioneering vision-radio paradigm that bridges this gap by leveraging Integrated Sensing and Communication (ISAC) to facilitate a dual "View-to-Communicate, Communicate-to-View" approach. CONVERGE offers tools that merge wireless communications and computer vision, establishing a novel Research Infrastructure (RI) that will be open to the scientific community and capable of providing open datasets. This new infrastructure will support future research in 6G and beyond concerning multiple verticals, such as telecommunications, automotive, manufacturing, media, and health., Comment: 6 pages, 5 figures
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- 2024
31. Spiral wave dynamics in a neuronal network model
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Souza, Diogo L. M., Borges, Fernando S., Gabrick, Enrique C., Bentivoglio, Lucas E., Protachevicz, Paulo R., Santos, Vagner dos, Viana, Ricardo L., Caldas, Ibere L., Iarosz, Kelly C., Batista, Antonio M., and Kurths, Jürgen
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Physics - Biological Physics ,Physics - Medical Physics ,Quantitative Biology - Neurons and Cognition - Abstract
Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly during sleep-like states. Although their functions in cognitive activities remain until now poorly understood, these patterns are related to cortical activity modulation and contribute to cortical processing. In this work, we construct a neuronal network layer based on the spatial distribution of pyramidal neurons. Our main goal is to investigate how local connectivity and coupling strength are associated with the emergence of spiral waves. Therefore, we propose a trustworthy method capable of detecting different wave patterns, based on local and global phase order parameters. As a result, we find that the range of connection radius (R) plays a crucial role in the appearance of spiral waves. For R < 20 {\mu}m, only asynchronous activity is observed due to small number of connections. The coupling strength (gsyn ) greatly influences the pattern transitions for higher R, where spikes and bursts firing patterns can be observed in spiral and non-spiral waves. Finally, we show that for some values of R and gsyn bistable states of wave patterns are obtained.
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- 2024
32. Impact of periodic vaccination in SEIRS seasonal model
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Gabrick, Enrique C., Brugnago, Eduardo L., de Souza, Silvio L. T., Iarosz, Kelly C., Szezech Jr., José D., Viana, Ricardo L., Caldas, Iberê L., Batista, Antonio M., and Kurths, Jürgen
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Physics - Biological Physics - Abstract
We study three different strategies of vaccination in a SEIRS (Susceptible--Exposed--Infected--Recovered--Susceptible) seasonal forced model, which are: ($i$) continuous vaccination; ($ii$) periodic short time localized vaccination and ($iii$) periodic pulsed width campaign. Considering the first strategy, we obtain an expression for the basic reproduction number and infer a minimum vaccination rate necessary to ensure the stability of the disease-free equilibrium (DFE) solution. In the second strategy, the short duration pulses are added to a constant baseline vaccination rate. The pulse is applied according to the seasonal forcing phases. The best outcome is obtained by locating the intensive immunization at inflection of the transmissivity curve. There, a vaccination rate of $44.4\%$ of susceptible individuals is enough to ensure DFE. For the third vaccination proposal, additionally to the amplitude, the pulses have a prolonged time width. We obtain a non-linear relationship between vaccination rates and the duration of the campaign. Our simulations show that the baseline rates, as well as the pulse duration, can substantially improve the vaccination campaign effectiveness. These findings are in agreement with our analytical expression. We show a relationship between the vaccination parameters and the accumulated number of infected individuals, over the years and show the relevance of the immunisation campaign annual reaching for controlling the infection spreading. Regarding the dynamical behaviour of the model, our simulations shows that chaotic and periodic solutions, as well as bi-stable regions, depend on the vaccination parameters range.
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- 2024
33. cecilia: A Machine Learning-Based Pipeline for Measuring Metal Abundances of Helium-rich Polluted White Dwarfs
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Badenas-Agusti, M., Viaña, J., Vanderburg, A., Blouin, S., Dufour, P., Xu, S., and Sha, L.
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Astrophysics - Instrumentation and Methods for Astrophysics ,Astrophysics - Earth and Planetary Astrophysics ,Astrophysics - Solar and Stellar Astrophysics ,Computer Science - Machine Learning - Abstract
Over the past several decades, conventional spectral analysis techniques of polluted white dwarfs have become powerful tools to learn about the geology and chemistry of extrasolar bodies. Despite their proven capabilities and extensive legacy of scientific discoveries, these techniques are however still limited by their manual, time-intensive, and iterative nature. As a result, they are susceptible to human errors and are difficult to scale up to population-wide studies of metal pollution. This paper seeks to address this problem by presenting cecilia, the first Machine Learning (ML)-powered spectral modeling code designed to measure the metal abundances of intermediate-temperature (10,000$\leq T_{\rm eff} \leq$20,000 K), Helium-rich polluted white dwarfs. Trained with more than 22,000 randomly drawn atmosphere models and stellar parameters, our pipeline aims to overcome the limitations of classical methods by replacing the generation of synthetic spectra from computationally expensive codes and uniformly spaced model grids, with a fast, automated, and efficient neural-network-based interpolator. More specifically, cecilia combines state-of-the-art atmosphere models, powerful artificial intelligence tools, and robust statistical techniques to rapidly generate synthetic spectra of polluted white dwarfs in high-dimensional space, and enable accurate ($\lesssim$0.1 dex) and simultaneous measurements of 14 stellar parameters -- including 11 elemental abundances -- from real spectroscopic observations. As massively multiplexed astronomical surveys begin scientific operations, cecilia's performance has the potential to unlock large-scale studies of extrasolar geochemistry and propel the field of white dwarf science into the era of Big Data. In doing so, we aspire to uncover new statistical insights that were previously impractical with traditional white dwarf characterisation techniques., Comment: 28 pages, 16 figures, 5 tables. Accepted for publication in MNRAS
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- 2024
34. Phonon and exciton temperature-dependent properties of twisted MoS$_2$
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Silva-Santos, Francisco, da Silva, Ruben, Dávila, Yuset Guerra, Oliveira, Maykol, Yu, Zhuohang, Terrones, Mauricio, Filho, Antonio Souza, Alencar, Rafael, and Viana, Bartolomeu
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Condensed Matter - Materials Science - Abstract
In the present work, Raman and photoluminescence spectroscopies were used to study the dynamics of phonons and different excitons of MoS$_2$ bilayer under a rotation of 29$^{\circ}$ dependent of the temperature. The twisted bilayer (T-2L) of MoS$_2$ was obtained through mechanical exfoliation, and subsequently rotated using a dimethyl polysiloxane (PDMS) substrate and deterministic transferred to a SiO$_2$ substrate. The Raman spectrum of the twisted bilayer presents three peaks E$'$ (386 cm$^{-1}$), A$'_{1}$ (405 cm$^{-1}$) and an FA$'$ peak at approximately 409 cm$^{-1}$ linked to the A$'_{1}$ mode, which is attributed to a Moir\'e pattern phonon. Both modes (A$'_{1}$ and FA$'$) are dependent of light polarization in a way that demonstrates an effective coupling between the layers. It was also verified through the Gr\"uneisen parameter, an increase in the anharmonicity of the mode in the E$'$ plane and a decrease the same for A$'_{1}$. In the PL measurements, the appearance of an exciton in T-2L was verified, which generated a second shoulder measured at $\approx$1.58 eV attributed to an indirect transition of an I trion. The interaction between the rotated monolayers of MoS$_{2}$ proved to be an important parameter for possible fine-tuning of the properties of bilayer samples., Comment: 9 pages, 4 figures, article
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- 2024
35. Mathematical programming and geotechnologies applied to allocation of forest fire detection towers
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Juvanhol, Ronie Silva, da Silva, Evandro Ferreira, da Paschoa Manhães, Letícia, Santos, Jeangelis Silva, Silva, Jeferson Pereira Martins, Vieira, Giovanni Correia, Viana, Julyana Cristina Cândido, and da Silva, Mayra Luiza Marques
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- 2024
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36. Genotypic and phenotypic characterization of the first Latin America isolates of Corynebacterium rouxii, a recently described member of the Corynebacterium diphtheriae complex reported in Europe
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de Oliveira Sant’Anna, Lincoln, dos Santos, Louisy Sanches, Ramos, Juliana Nunes, Bokermann, Sérgio, Bernardes Sousa, Mireille Ângela, Prates, Fernanda Diniz, Mattos-Guaraldi, Ana Luíza, Vieira, Verônica Viana, and Araújo, Max Roberto Batista
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- 2024
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37. Adherence to the planetary health diet and cognitive decline: findings from the ELSA-Brasil study
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Gomes Gonçalves, Natalia, Cacau, Leandro Teixeira, Ferreira, Naomi Vidal, Lotufo, Paulo Andrade, Goulart, Alessandra Carvalho, Viana, Maria Carmen, Barreto, Sandhi Maria, Bensenor, Isabela Martins, Marchioni, Dirce Maria, and Suemoto, Claudia Kimie
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- 2024
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38. Reducing the Wallacean and the Haeckelian Deficits in Apobaetis Day, 1955 (Ephemeroptera: Baetidae)
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Viana, Ana Dária Leite, Alvim, Juliana, and Salles, Frederico Falcão
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- 2024
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39. Recurrent selection in Passiflora: a new approach for the development of cowpea aphid-borne mosaic virus resistant cultivars with desired agronomic traits
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Mendes, Débora Souza, Viana, Alexandre Pio, Cavalcante, Natan Ramos, Pires, Gabriela Tavares, Santos, Eileen Azevedo, da Silva, Flávia Alves, do Nascimento Monteiro Barbosa, Felipe Durães, da Silva Araújo, Letícia, Costa, Thays Correa, de Oliveira, Julie Anne Vieira Salgado, Maitan, Mariana Quintas, and Reis, Nilmária Natália Veras
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- 2024
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40. Hyperbaric oxygen therapy in malignant otitis externa: a retrospective analysis
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Gomes, Pedro Marques, Cabral, Diogo Cunha, Costa, Joana Borges, Fernandes, Tiago, Camacho, Óscar, Penêda, José Ferreira, Duarte, Delfim, and Viana, Miguel
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- 2024
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41. Titanium dioxide nanoparticles: green synthesis, characterization, and antimicrobial/photocatalytic activity
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Muraro, Pâmela Cristine Ladwig, Wouters, Robson Dias, Chuy, Gabriela Pereira, Vizzotto, Bruno Stefanello, Viana, Altevir Rossato, Pavoski, Giovani, Espinosa, Denise Crocce Romano, Rech, Virginia Cielo, and da Silva, William Leonardo
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- 2024
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42. Plasma Deposition of Ti-Nb-N Films on AISI 304 Stainless Steel by Cathodic Cage Technique
- Author
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Sampaio, Weslley Rick Viana, Serra, Petteson Linniker Carvalho, Monção, Renan Matos, de Sousa Brito, Marcos Cristino, de Sousa, Ediones Maciel, de Sousa Nolêto, Brenda Jakellinny, da Luz Lima, Cleânio, de Medeiros Aires, Michelle, de Oliveira Rocha, Hugo Alexandre, de Melo, Maria Celeste Nunes, de Sousa, Rômulo Ríbeiro Magalhães, and Silva, Anielle Christine Almeida
- Published
- 2024
- Full Text
- View/download PDF
43. Sensory Evaluation and Volatile Organic Compounds in Dried Mango Produced from Different Varieties
- Author
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Reis, Ronielli Cardoso, de Mesquita, Paulo Roberto Ribeiro, de Souza Viana, Eliseth, Fonseca, Nelson, Correia, Lorena Araújo Peixoto, de Sousa Maia, Djalma Lucas, de Almeida, Lorena Santos, Silveira, Rejiane Brandão, de Jesus Tedgue, Letícia, and Junior, Izaias Tupinambá Araujo
- Published
- 2024
- Full Text
- View/download PDF
44. Archimedean solids in the fifteenth and sixteenth centuries
- Author
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Viana, Vera
- Published
- 2024
- Full Text
- View/download PDF
45. The insular cortex, autonomic asymmetry and cardiovascular control: looking at the right side of stroke
- Author
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Fontes, Marco Antônio Peliky, dos Santos Machado, Liliane Ramos, Viana, Ana Clara Rocha, Cruz, Matheus Henrique, Nogueira, Ícaro Santos, Oliveira, Marcela Gondim Lima, Neves, Christiane Braga, Godoy, Ana Caroline Ventris, Henderson, Luke A., and Macefield, Vaughan G.
- Published
- 2024
- Full Text
- View/download PDF
46. Maternal Punitive Responses, Safety Behaviors, and Fear in Anxious Children
- Author
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Conroy Busch, Haley E., Viana, Andres G., Raines, Elizabeth M., Trent, Erika S., Silva, Karina, Zvolensky, Michael J., and Storch, Eric A.
- Published
- 2024
- Full Text
- View/download PDF
47. Understanding the changes induced by the incorporation of trees in low densities into livestock systems: relevance of a long-term interdisciplinary experimental platform
- Author
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Fedrigo, Jean K., Benítez, Valentina, de Souza, Mauricio, Morales, Virginia, Piñeyro, Pedro, Viana, Víctor, Blumetto, Oscar, Cancela, Héctor, Bertoncelli, Patricia, Laufer, Gabriel, González-Barrios, Pablo, Siri, Paulina, Báez, Francisco, García, Luís, Ciganda, Verónica, Pravia, Virginia, and Viñoles, Carolina
- Published
- 2024
- Full Text
- View/download PDF
48. Licuri (Syagrus coronata) Oil Cake as a Substrate for Collagenolytic Protease Production by Submerged Fermentation Using a Novel Strain of Penicillium citrinum Isolated from the Brazilian Caatinga
- Author
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Ramos, Diego Gomes, de Lima, Joenny Maria Silveira, Filho, José Pedro Martins Barbosa, de Souza-Motta, Cristina Maria, de Araújo Viana Marques, Daniela, da Silva, Marcia Vanusa, dos Santos Correia, Maria Tereza, Costa, Romero Marcos Pedrosa Brandão, Converti, Attilio, de Almeida, Sinara Mônica Vitalino, and de Albuquerque Lima Duarte, Carolina
- Published
- 2024
- Full Text
- View/download PDF
49. Unlocking xylan’s potential: Coffee husk-derived xylanolytic blend for sustainable bioprocessing
- Author
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Ribeiro, Taíse Amorim, Sampaio, Igor Carvalho Fontes, de Carvalho Tavares, Iasnaia Maria, de Moura, Isabela Viana Lopes, Silva, Fabiane Neves, de Oliveira Sena, Luise, Costa, Floriatan Santos, de Jesus, Gabriel Lucas Silva, Emmerich, Iana Trevizani, Cezar, Kendria Santos, Irfan, Muhammad, and Franco, Marcelo
- Published
- 2024
- Full Text
- View/download PDF
50. Volatile sulfur compounds, biofilm, and salivary parameters in patients with periodontal disease: a cross-sectional study
- Author
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Silva, Maiza Luiza Vieira, Viana, Karolina Skarlet Silva, de Arruda, José Alcides Almeida, de Miranda, Renatha Duarte, Soares, Meiriane Cristina Faria, Calado, Hallen Daniel Rezende, Amorim, Mara Cristina Lopes, Costa, Fernando Oliveira, Cota, Luis Otávio Miranda, Abreu, Lucas Guimarães, Amaral, Tânia Mara Pimenta, and Mesquita, Ricardo Alves
- Published
- 2024
- Full Text
- View/download PDF
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