Search

Your search keyword '"Nascimento, L."' showing total 819 results
Start Over Author "Nascimento, L."
819 results on '"Nascimento, L."'

13. Technological Development of a Multipurpose Molecular Point-of-Care Device for Sars-Cov-2 Detection

Author

Nascimento, L. R., Oliveira, V. K., Camargo, B. D., Mendonça, G. T., Stracke, M. C., Aoki, M. N., Blanes, L., Morello, L. G., Stebel, S. L., Magjarevic, Ratko, Series Editor, Ładyżyński, Piotr, Associate Editor, Ibrahim, Fatimah, Associate Editor, Lackovic, Igor, Associate Editor, Rock, Emilio Sacristan, Associate Editor, Bastos-Filho, Teodiano Freire, editor, de Oliveira Caldeira, Eliete Maria, editor, and Frizera-Neto, Anselmo, editor

Published
2022
Full Text
View/download PDF

16. Measuring Amazon Rainfall Intensity With Sound Recorders.

Author

Xavier, R. S., Gosset, M., Maciel, T. F., Bicudo, T., Nascimento, L. A. do, Ramalho, E., and Fleischmann, A.

Subjects
RAINFALL measurement, SUPERVISED learning, RAIN forests, SOUND measurement, RANDOM forest algorithms, RAIN gauges
Abstract

Ground weather observations are scarce in many parts of the globe, hampering effective climate monitoring and disaster management. In the Amazon basin, this occurs due to its remoteness and the challenging measurement of rainfall within the forest. Innovative rainfall estimation methods are thus requested to fill this gap. Here we present an approach to estimate rainfall based on sound measurements. We identified the best frequency range to estimate rainfall occurrence and intensity, trained classification and regression models with sound and rain gauge data collected in the Central Amazon during 9 months. By training a random forest classifier/regression model based on power spectrum values it was possible to identify and satisfactorily estimate hourly rainfall rates in two vegetation environments distinct from the training site, located 30 km from it. The proposed method is a promising approach for future weather monitoring in remote tropical areas. Plain Language Summary: Understanding and predicting rainfall is a complex task, especially in areas where the availability of data from surface stations is limited, a common feature in many developing regions with insufficient rain gauge coverage. Recently, new opportunistic methods of rainfall measurement have emerged. Among them, is the use of the relationship between rainfall intensity and the sound produced by droplets hitting a surface. Sound recorders offer a low‐cost solution and could provide an interesting means to increase spatial coverage of rainfall measurements, but also to fill information gaps under dense forests where conventional devices do not work. Our study developed a new technique and applied it to the Central Amazon region, by training a supervised machine learning model applied to sound recordings obtained in a tropical rainforest. To our knowledge, for the first time, such techniques are validated in locations far from the calibration site. We showed that reasonable results can be obtained for sites with distinct vegetation types and up to 30 km of distance from where the training data was acquired. Our findings demonstrate a strong capability for estimating hourly rainfall rates. Key Points: Rainfall intensity estimated from sound measurements in the Amazon rainforest, tipping bucket rain gauge, and machine learning modelsThe best model successfully detects rainfall in 88% of the cases, with R2 > 0.87 for hourly rainfall rates on the training siteModel validated over two sites in the Amazon, 97% accuracy identifying rainfall events, R2 of 0.69 and 0.93 for hourly rainfall rate [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

18. Spin g-factor due to electronic interactions in graphene

Author

Menezes, N., Alves, Van Sergio, Marino, E. C., Nascimento, L., Nascimento, Leandro O., and Smith, C. Morais

Subjects
Condensed Matter - Strongly Correlated Electrons
Abstract

The gyromagnetic factor is an important physical quantity relating the magnetic-dipole moment of a particle to its spin. The electron spin g-factor in vacuo is one of the best model-based theoretical predictions ever made, showing agreement with the measured value up to ten parts per trillion. However, for electrons in a material the g-factor is modified with respect to its value in vacuo because of environment interactions. Here, we show how interaction effects lead to the spin g-factor correction in graphene by considering the full electromagnetic interaction in the framework of pseudo-QED. We compare our theoretical prediction with experiments performed on graphene deposited on SiO2 and SiC, and we find a very good agreement between them., Comment: Improved version of the manuscript; valley g-factor part has been removed

Published
2016
Full Text
View/download PDF

45. Capa do livro: Pesquisa e Prática Pedagógica no Semiárido: estágio enquanto espaço de pesquisa em educação, narrativas de formação docente, práticas de educação inclusiva Pesquisa e Prática Pedagógica no Semiárido: estágio enquanto espaço de pesquisa em educação, narrativas de formação docente, práticas de educação inclusiva

Author

RIOS, P. P. S., primary, SILVA, A. C., additional, Silva, Ana Paula Lopes da, additional, Silva, D.R., additional, MARTINS, D. S., additional, Santos, Juliana Pereira, additional, NASCIMENTO, L. S., additional, SILVA, M. C. S. P., additional, SOARES, M. E. S. V., additional, NASCIMENTO, R. M., additional, and Silva, Rozí dos Santos, additional

Published
2020
Full Text
View/download PDF

46. PERCEPÇÃO SOCIOAMBIENTAL NAS MÚLTIPLAS ÁREAS DO CONHECIMENTO

Author

SILVA, J. R. C., primary, VIANA, A. L., additional, LINS NETO, N.F.A., additional, Oliveira, AT, additional, RIVAS, A. A. F., additional, ALVES, A. S., additional, CASTRO, A. V., additional, SABINO, A. R., additional, SILVEIRA, BÁRBARA BRANDÃO FERREIRA DA, additional, ARAÚJO, C. S., additional, ALVES, C. N., additional, GUIMARÃES, D. F. S., additional, SANTOS, E. S. G., additional, TERCEIRO, F. E. E. S., additional, MORAES, F. M., additional, PEREIRA, H. S., additional, CORDEIRO, I. R. L., additional, DANTAS, Janeide Alexandre, additional, MARQUES, J. D., additional, VIEIRA FILHO, J. U., additional, MATOS, J. A., additional, LACERDA JUNIOR, J. C., additional, SANTOS, K. W. F., additional, NASCIMENTO, L. S., additional, PINTO, N., additional, AFFONSO, M. A. C. B., additional, HIGUCHI, M. I. G., additional, GAMA, MAURICIO, additional, VASCONCELOS, M. A., additional, SILVA, N. M., additional, PONCIANO, Nilton Paulo, additional, GOMES, O. C., additional, GRANA, Rejane Neves, additional, LIMA, R. A., additional, SANTOS, R. M. S., additional, ALVES, R.C., additional, LOPES, R. S., additional, ASSIS, S. N. S., additional, GREGORIO, Sandra Regina, additional, BEZERRA, S. A. S., additional, SILVA, S. C. P., additional, SANTOS, V. K. F., additional, ALMEIDA, V. F., additional, SANTOS, V. S., additional, and NASCIMENTO, W. C., additional

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results