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38,977 results on '"da Rosa A"'

1. FreeSVC: Towards Zero-shot Multilingual Singing Voice Conversion

Author

Ferreira, Alef Iury Siqueira, Gris, Lucas Rafael, da Rosa, Augusto Seben, de Oliveira, Frederico Santos, Casanova, Edresson, Sousa, Rafael Teixeira, Junior, Arnaldo Candido, Soares, Anderson da Silva, and Filho, Arlindo Galvão

Subjects
Computer Science - Sound, Electrical Engineering and Systems Science - Audio and Speech Processing
Abstract

This work presents FreeSVC, a promising multilingual singing voice conversion approach that leverages an enhanced VITS model with Speaker-invariant Clustering (SPIN) for better content representation and the State-of-the-Art (SOTA) speaker encoder ECAPA2. FreeSVC incorporates trainable language embeddings to handle multiple languages and employs an advanced speaker encoder to disentangle speaker characteristics from linguistic content. Designed for zero-shot learning, FreeSVC enables cross-lingual singing voice conversion without extensive language-specific training. We demonstrate that a multilingual content extractor is crucial for optimal cross-language conversion. Our source code and models are publicly available.

Published
2025

2. No Saved Kaleidosope: an 100% Jitted Neural Network Coding Language with Pythonic Syntax

Author

da Rosa, Augusto Seben, Angeli, Marlon Daniel, Junior, Jorge Aikes, Ferreira, Alef Iury, Gris, Lucas Rafael, Soares, Anderson da Silva, Junior, Arnaldo Candido, de Oliveira, Frederico Santos, Damke, Gabriel Trevisan, and Sousa, Rafael Teixeira

Subjects
Computer Science - Programming Languages, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, 68T07, D.3, I.2, I.4, I.7
Abstract

We developed a jitted compiler for training Artificial Neural Networks using C++, LLVM and Cuda. It features object-oriented characteristics, strong typing, parallel workers for data pre-processing, pythonic syntax for expressions, PyTorch like model declaration and Automatic Differentiation. We implement the mechanisms of cache and pooling in order to manage VRAM, cuBLAS for high performance matrix multiplication and cuDNN for convolutional layers. Our experiments with Residual Convolutional Neural Networks on ImageNet, we reach similar speed but degraded performance. Also, the GRU network experiments show similar accuracy, but our compiler have degraded speed in that task. However, our compiler demonstrates promising results at the CIFAR-10 benchmark, in which we reach the same performance and about the same speed as PyTorch. We make the code publicly available at: https://github.com/NoSavedDATA/NoSavedKaleidoscope, Comment: 12 pages, 3 figures and 3 tables

Published
2024

3. Impact of COVID-19 Vaccination on Female Fertility

Author

Wenzel, Eduarda, De Paula, Gabriela Gomes, Jaeger, Ana Clara Silva, Müller, Arthur Kapczinski, Benati, Isabella Fonseca, Da Costa Linn, Thiago Brusa, Da Rosa, Thiago Santos, Bouvier, Vitoria Dall Agnol, da Rosa, Rafael Lopes, and Cunha-Filho, João Sabino

Published
2024
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4. Thirty Two New Bright ZZ Ceti Stars from TESS: Adding Cycles 4 and 5

Author

Romero, Alejandra D., Kepler, S. O., da Rosa, Gabriela Oliveira, and Hermes, J. J.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

Analyzing all 120 s and 20 s light curves obtained by the TESS satellite up to Sector 69 - the end of the fifth year of observations - for all known white dwarfs and white dwarf candidates up to G=17.5 mag, we report the discovery of 32 new pulsating DA white dwarf stars. For all objects, we obtained the period spectra and performed a seismological analysis using full evolutionary models to estimate the structural parameters, such as effective temperature, stellar mass, and hydrogen envelope mass. The median stellar mass for the pulsators from asteroseismology is 0.609 Msun, in agreement with the median value from photometric and spectroscopic determinations, 0.602 Msun, excluding the low and extremely-low mass objects. Finally, we found rotational-splitting multiplets for 9 stars, which led to rotation periods between 4 h and 1 d., Comment: Submitted to ApJ. arXiv admin note: text overlap with arXiv:2201.04158

Published
2024

5. Photometric White Dwarf Rotation

Author

da Rosa, Gabriela Oliveira, Kepler, S. O., Soethe, L. T. T., Romero, Alejandra D., and Bell, Keaton J.

Subjects
Astrophysics - Solar and Stellar Astrophysics
Abstract

We present a census of photometrically detected rotation periods for white dwarf (WD) stars. We analyzed the light curves of 9285 WD stars observed by the Transiting Exoplanet Survey Satellite up to Sector 69. Using Fourier transform analyses and the TESS_localize software, we detected variability periods for 318 WD stars. The 115 high-probability likely single WDs in our sample have a median rotational period of 3.9 hr and a median absolute deviation of 3.5 hr. Our distribution is significantly different from the distribution of the rotational period from asteroseismology, which exhibits a longer median period of 24.2 hr and a median absolute deviation of 12.1 hr. In addition, we reported nonpulsating periods for three known pulsating WDs with rotational periods previously determined by asteroseismology: NGC 1501, TIC 7675859, and G226-29. We also calculated evolutionary models including six angular momentum transfer mechanisms from the literature throughout evolution in an attempt to reproduce our findings. Our models indicate that the temperature-period relation of most observational data is best fitted by models with low metallicity, probably indicating problems with the computations of angular momentum loss during the high-mass-loss phase. Our models also generate internal magnetic fields through the Tayler-Spruit dynamo.

Published
2024
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6. UruBots Autonomous Cars Team One Description Paper for FIRA 2024

Author

Moraes, Pablo, Peters, Christopher, Da Rosa, Any, Melgar, Vinicio, Nuñez, Franco, Retamar, Maximo, Moraes, William, Saravia, Victoria, Sodre, Hiago, Barcelona, Sebastian, Scirgalea, Anthony, Deniz, Juan, Guterres, Bruna, Kelbouscas, André, and Grando, Ricardo

Subjects
Computer Science - Robotics
Abstract

This document presents the design of an autonomous car developed by the UruBots team for the 2024 FIRA Autonomous Cars Race Challenge. The project involves creating an RC-car sized electric vehicle capable of navigating race tracks with in an autonomous manner. It integrates mechanical and electronic systems alongside artificial intelligence based algorithms for the navigation and real-time decision-making. The core of our project include the utilization of an AI-based algorithm to learn information from a camera and act in the robot to perform the navigation. We show that by creating a dataset with more than five thousand samples and a five-layered CNN we managed to achieve promissing performance we our proposed hardware setup. Overall, this paper aims to demonstrate the autonomous capabilities of our car, highlighting its readiness for the 2024 FIRA challenge, helping to contribute to the field of autonomous vehicle research., Comment: Team Description Paper for the FIRA RoboWorld Cup 2024

Published
2024

17. Dual-Bandwidth Spectrogram Analysis for Speaker Verification

Author

Virgilli, Rafaello, Candido Junior, Arnaldo, da Rosa, Augusto Seben, Oliveira, Frederico S., Soares, Anderson da Silva, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Paes, Aline, editor, and Verri, Filipe A. N., editor

Published
2025
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18. LeakG3PD: A Python Generator and Simulated Water Distribution System Dataset

Author

Pilotto Figueiredo, Matheus, de Souza Oliveira, Lizandro, Lucca, Giancarlo, Correa Yamin, Adenauer, Huckembeck dos Santos, Wesley, da Rosa Lopes, Tiago, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Julian, Vicente, editor, Camacho, David, editor, Yin, Hujun, editor, Alberola, Juan M., editor, Nogueira, Vitor Beires, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio, editor

Published
2025
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19. Drowsiness Detection Using Vital Sign Sensors and Deep Learning on Smartwatches

Author

Pereira, Vitor Augusto da Rosa, Berri, Rafael Alceste, Osório, Fernando Santos, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Julian, Vicente, editor, Camacho, David, editor, Yin, Hujun, editor, Alberola, Juan M., editor, Nogueira, Vitor Beires, editor, Novais, Paulo, editor, and Tallón-Ballesteros, Antonio, editor

Published
2025
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21. Dichalcogenides and difulfides nanostructures for hydrogen storage

Author

de Oliveira, Flavio Bento and da Rosa, Andreia Luisa

Subjects
Condensed Matter - Materials Science
Abstract

Hydrogen energy is a high-efficiency and clean energy. Large-surface-area, two-dimensional (2D) layered materials are expected to have an advantage in hydrogen storage applications. Among a large number of 2D materials, monolayer dichacogenides have emerged as promising candidate for hydrogen clean energy. In the present work, first-principles calculations and molecular dynamics simulations are carried out to investigate the adsorption behaviors of hydrogen molecules on transition metal dichalcogenides and disulphides. Furthermore we propose novel structures which may suitable for hydrogen storage. As the concentration increaes, 2D shows thermodynamic stability even at room temperature, suggesting a possible aplicability for hydrogen storage.

Published
2024

22. 'Are They Like Me?': Assessing College Math Students' Academic and Personal Similarity Perceptions of Female Peer Role Models

Author

David M. Marx, Sei Jin Ko, and Vitorino A. da Rosa

Abstract

Past laboratory work has shown that exposure to similar peers who represent success in STEM (i.e., math-talented female peer role models) can bolster female college students' math performance and STEM experiences. What is less clear is how students at intersecting identities of gender, ethnicity, and math identification differ in their similarity perceptions of female peer role models (PRMs) as well as how the PRMs' ethnicity and background information (i.e., academic-related and personal-related) influences students' similarity perceptions. In the current work, Latina and White female PRMs gave two presentations in college Calculus classes over the course of one semester. After the second presentation students completed quantitative and qualitative measures to assess perceived similarity with the PRMs. Across both measures results showed that: (1) students generally perceived themselves to be similar to PRMs; (2) students felt more academically than personally similar to PRMs; (3) when the PRMs' ethnicity matched the students' ethnicity the academic-personal similarity difference was smaller; and (4) depending on students' gender and level of math identification their similarity perceptions differed. Given PRM similarity has been shown to be a significant factor in the effectiveness of PRMs these findings emphasize the importance of considering students' intersecting identities and PRM background information when attempting to highlight similarity with PRMs.

Published
2024
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23. Cross-Laminated Timber Panels Produced by Low-Grade Yellow-Poplar Sorted by Nondestructive Evaluation

Author

da Rosa Azambuja, Rafael, DeVallance, David B., and McNeel, Joseph

Subjects
Laminated wood -- Evaluation -- Testing, Timber -- Evaluation -- Testing, Non-destructive testing -- Methods, Business, Forest products industry
Abstract

To manufacture and market a uniform and consistent product, the US lumber industry developed grading rules to classify their lumber. Visual grading is the most commonly applied grading system, although nondestructive evaluation (NDE) could be applied. Therefore, the objective of this research was to evaluate cross-laminated timber (CLT) panels produced from yellow-poplar (Liriodendron tulipifera) lumber sorted by NDE and compare their bending properties in the major direction to standard published panels by the American National Standards Institutes/The Engineered Wood Association (ANSI/APA) PRG 320-2019. Ten panels were produced with dimensions of 3.75 inches thick by 18 inches wide by 120 inches long. Flatwise bending, shear block, and cyclic delamination tests were performed following ANSI/APA PRG 320-2019. The results of the bending tests indicated that the calculated characteristic values using NDE-sorted lumber resulted in a 19 percent higher bending strength ([F.sub.b]) than published values in ANSI/APA PRG 320-2019 for stress-rated lumber (El and E4) and 35 percent higher than visually graded yellow-poplar CLT panels reported by Azambuja et al. However, the modulus of elasticity (MOE) values (1.56 by [10.sup.6] psi) were lower than those listed for El and E4 type panels. The adhesive evaluation showed delamination in some samples located in the outer areas of the panel, indicating that proper adhesion is possible with improvements in the panel production process used in the research. Overall, the results suggest potential opportunities to utilize yellow- poplar lumber that does not meet a visual structural grade category under Northeastern Lumber Association Manufacturers' rules by classifying and sorting the lumber according to static MOE ([MOE.sub.s]) values assessed using NDE., Visual grading was developed to ensure the quality of commercialized lumber. The Northeastern Lumber Association Manufacturers (NELMA 2013) grading rules are the standard methods used for yellow-poplar (Liriodendron tulipifera) lumber [...]

Published
2024
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27. Ayahuasca Pretreatment Prevents Sepsis-Induced Anxiety-Like Behavior, Neuroinflammation, and Oxidative Stress, and Increases Brain-Derived Neurotrophic Factor

Author

de Camargo, Rick Wilhiam, Joaquim, Larissa, Machado, Richard Simon, de Souza Ramos, Suelen, da Rosa, Lara Rodrigues, de Novais Junior, Linério Ribeiro, Mathias, Khiany, Maximiano, Lara, Strickert, Yasmin Ribeiro, Nord, Rafael, Gava, Maria Laura, Scarpari, Eduarda, Martins, Helena Mafra, Lins, Elisa Mitkus Flores, Chaves, Jéssica Schaefer, da Silva, Larissa Espindola, de Oliveira, Mariana Pacheco, da Silva, Mariella Reinol, Fernandes, Bruna Barros, Tiscoski, Anita dal Bó, Piacentini, Natália, Santos, Fabiana Pereira, Inserra, Antonio, Bobinski, Franciane, Rezin, Gislaine Tezza, Yonamine, Mauricio, Petronilho, Fabrícia, and de Bitencourt, Rafael Mariano

Published
2024
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29. Green Cryogel Development: Utilizing Rosa centifolia Essential Oil for SARS-CoV-2 Removal in Wastewater

Author

Barboza, Victor dos Santos, Pereira, Cleiton Jesus Andrade, Garcia, Vithor Parada, Tavares, Mikaele Valério, Pinheiro, Luane Garcia, Zibetti, Letícia, Frizzo, Clarissa Piccinin, da Cruz, Elder Pacheco, da Rosa Zavareze, Elessandra, Dias, Alvaro Renato Guerra, Camargo, Emerson Rodrigues, Giongo, Janice Luehring, and de Almeida Vaucher, Rodrigo

Published
2024
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32. A combination of left ventricular outflow tract velocity time integral and lung ultrasound to predict mortality in ST elevation myocardial infarction

Author

Machado, Guilherme Pinheiro, Telo, Guilherme Heiden, de Araujo, Gustavo Neves, da Rosa Barbato, Joao Pedro, Amon, Andre, Martins, Antônia, Nassif, Marina, Azevedo, Wagner, da Silveira, Anderson Donelli, Scolari, Fernando Luis, Pagnoncelli, Alan, Goncalves, Sandro Cadaval, Truesdell, Alexander G., Wainstein, Rodrigo, and Wainstein, Marco

Published
2024
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35. Aspergillus fumigatus conidial surface-associated proteome reveals factors for fungal evasion and host immunity modulation

Author

Pinzan, Camila Figueiredo, Valero, Clara, de Castro, Patrícia Alves, da Silva, Jefferson Luiz, Earle, Kayleigh, Liu, Hong, Horta, Maria Augusta Crivelente, Kniemeyer, Olaf, Krüger, Thomas, Pschibul, Annica, Cömert, Derya Nur, Heinekamp, Thorsten, Brakhage, Axel A., Steenwyk, Jacob L., Mead, Matthew E., Hermsdorf, Nico, Filler, Scott G., da Rosa-Garzon, Nathalia Gonsales, Delbaje, Endrews, Bromley, Michael J., Cabral, Hamilton, Diehl, Camila, Angeli, Claudia B., Palmisano, Giuseppe, Ibrahim, Ashraf S., Rinker, David C., Sauters, Thomas J. C., Steffen, Karin, Gumilang, Adiyantara, Rokas, Antonis, Gago, Sara, dos Reis, Thaila F., and Goldman, Gustavo H.

Published
2024
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40. Antitumoral Activity of Electrospray-Nanoencapsulated Tannic Acid on C6 and U87MG Glioblastoma Cell Lines

Author

Simões, William Sanabria, Piccoli, Raphaela Cassol, dos Santos, Francieli da Silva, Saraiva, Juliane Torchelsen, Pedra, Nathalia Stark, da Silva, Giulia Bueno de Oliveira, Goularte, Kelen Cristiane Machado, Luduvico, Karina Pereira, Radünz, Marjana, Zavareze, Elessandra da Rosa, Spanevello, Roselia Maria, Bona, Natália Pontes, and Stefanello, Francieli Moro

Published
2024
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41. Magnetic interactions in doped silicene for spintronics

Author

Gomes, L. M. and da Rosa, A. L.

Subjects
Condensed Matter - Materials Science
Abstract

Silicon is a material whose technological application is well established, and obtaining this material in nanostructured form increases its possibility of integration in current technology. Silicene is a natural compatibility with current silicon-based electronics industry. Furthermore, doping is a technique that can be often used to adjust the band gap of silicene and at the same time introduce new functions. Here we investigate Several aspects of silicene doping with chromium, such as dopant solubility limits, site preference for adsorption and doping, and formation of magnetic domains. In this work we carried out investigation on diffusion and doping of chromium atoms on silicene. We use density-functional theory to identify the electronic and magnetic properties of tchromium atoms on monolayer and bilayer silicene. We find that magnetization depends on key parameters such as buckling, interlayer distance and adsorption site.

Published
2024

42. Signature of excitonic insulators in phosphorene nanoribbons

Author

de Oliveira, A. F. P., da Rosa, A. L., and Dias, A. C.

Subjects
Condensed Matter - Materials Science
Abstract

Phosphorene is a recently developed two-dimensional (2D) material that has attracted tremendous attention because of its unique anisotropic optical properties and quasi-one-dimensional (1D) excitons. We use first-principles calculations combined with the maximally localized Wannier function tight binding Hamiltonian (MLWF-TB) and Bethe-Salpeter equation (BSE) formalism to investigate quasiparticle effects of 2D and quasi-1D blue and black phosphorene nanoribbons. Our electronic structure calculations shows that both blue and black monolayered phases are semiconductors. On the other hand black phosphorene zigzag nanoribbons are metallic. Similar behavior is found for very thin blue phosphorene zig-zag and armchair nanoribbon. As a general behavior, the exciton binding energy decreases as the ribbon width increases, which highlights the importance of quantum confinement effects. The solution of the BSE shows that the blue phosphorene monolayer has an exciton binding energy four times higher than that of the black phosphorene counterpart. Furthermore, both monolayers show a different linear optical response with respect to light polarization, as black phosphorene is highly anisotropic. We find a similar, but less pronounced, optical anisotropy for blue phosphorene monolayer, caused exclusively by the quasi-particle effects. Finally, we show that some of the investigated nanoribbons show a spin-triplet excitonic insulator behavior, thus revealing exciting features of these nanoribbons and therefore provides important advances in the understanding of quasi-one dimensional phosphorus-based materials.

Published
2024

44. Changes in the climatic water budget of an intermittent river in the Brazilian semiarid: trends in cyclical processes and their relation to teleconnection patterns: Changes in the climatic water budget of an intermittent river in the Brazilian semiarid: trends in cyclical processes and their relation to teleconnection patterns

Author

da Silva, Thieres George Freire, Rocha, Ana Karlla Penna, de Lucas, Alanderson Firmino, de Souza, Luciana Sandra Bastos, Montenegro, Abelardo Antônio de Assunção, de Souza, Werônica Meira, Jardim, Alexandre Maniçoba da Rosa Ferraz, de Souza, Carlos André Alves, Salvador, Kaique Renan da Silva, de Carvalho, Ailton Alves, and Araújo Júnior, George do Nascimento

Published
2025
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45. Seven versus 14 days of antimicrobial therapy for severe multidrug-resistant Gram-negative bacterial infections in intensive care unit patients (OPTIMISE): a randomised, open-label, non-inferiority clinical trial

Author

Arns, Beatriz, Kalil, Andre C., Sorio, Guilherme G. L., Boschi, Emerson, Antonio, Ana Carolina Peçanha, Antonio, Juliana Peçanha, Birriel, Daniella Cunha, Lanziotti, Daniel Haase, da Cunha Abbott, Frederico, Rocha, Glecia Carla, de Fátima Fernandes, Vanildes, de Souza Dantas, Vicente Cés, da Silva Medeiros, Graciele Fátima, de França Diniz Rocha, Verônica, Pereira, Francielle Constantino, Gobatto, André Luiz Nunes, Lima, Valéria Paes, Lacerda, Fábio Holanda, de Maio Carrilho, Cláudia Maria Dantas, de Oliveira Cardozo, Kairo Daniel Nunes, Irineu, Vivian Menezes, Kurtz, Pedro, Horvath, Jaqueline Driemeyer Correia, Sesin, Guilhermo Prates, Agani, Crepin Aziz Jose Oluwafoumi, dos Santos, Tiago Marcon, Brochier, Liliane Spencer Bittencourt, da Rosa, Bruna Silveira, Tomazini, Bruno Martins, Besen, Bruno Adler Maccagnan Pinheiro, Pereira, Adriano Jose, Veiga, Viviane Cordeiro, Nascimento, Giovana Marssola, and Zavascki, Alexandre P.

Published
2024
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