Zobrazeno 1 - 10
of 80
pro vyhledávání: '"Sandra, Sampaio"'
Autor:
da Motta, Mateus Rattes Lima, Alves, Gabriel Bié, Khoury, Antonio Zelaquett, Vianna, Sandra Sampaio
We explore a degenerate four-wave mixing process induced by transversely structured light beams in a rubidium vapor cell. In particular, we consider the nonlinear interaction driven by optical modes contained in the orbital angular momentum Poincar\'
Externí odkaz:
http://arxiv.org/abs/2308.11415
Autor:
Gabriel Souto Ferrante, Luis Hideo Vasconcelos Nakamura, Sandra Sampaio, Geraldo Pereira Rocha Filho, Rodolfo Ipolito Meneguette
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Wildlife roadkill is a recurring, dangerous problem that affects both humans and animals and has received increasing attention from environmentalists worldwide. Addressing this problem is difficult due to the high investments required in roa
Externí odkaz:
https://doaj.org/article/5ba40a048e8f469e95b24d4a38f63783
Autor:
Rita Serra Afonso, Roberto Calças Marques, Henrique Borges, Eduarda Carias, Ana Teresa Domingos, Ana Cabrita, Sandra Sampaio, Ana Paula Silva
Publikováno v:
Case Reports in Nephrology and Dialysis, Vol 12, Iss 3, Pp 248-254 (2022)
Acute kidney injury is a common complication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Several pathologic findings are continually being reported, showing a probably multifactorial etiology. The authors present a case
Externí odkaz:
https://doaj.org/article/e6168a8c56344f1db338fef7711f5adb
Publikováno v:
Revista Brasileira de Cancerologia, Vol 46, Iss 1 (2023)
Os catéteres totalmente implantáveis proporcionam acesso vascular prolongado, baixo risco durante inserção e remoção, fácil manutenção, conforto e segurança para o paciente e baixo índice de complicações. Nosso objetivo é relatar a expe
Externí odkaz:
https://doaj.org/article/bab3ae28dd784b11b4172090bf53c396
Autor:
Luísa Helena Pereira, Ana Cabrita, Mário Góis, Helena Viana, Sandra Sampaio, Pedro Leão Neves
Publikováno v:
Journal of Nephropathology, Vol 10, Iss 4, Pp e43-e43 (2021)
Focal segmental glomerulosclerosis (FSGS) is a recognized cause of renal disease worldwide. The collapsing variant is distinct from the others, characterized clinically by a more severe nephrotic syndrome generally resistant to immunosuppressive ther
Externí odkaz:
https://doaj.org/article/3368db98f7e547af84f7ddf38a429103
Autor:
Aguimar Ribeiro, Geraldo P. Rocha Filho, Daniel L. Guidoni, Robson E. de Grande, Sandra Sampaio, Rodolfo I. Meneguette
Publikováno v:
GLOBECOM 2022 - 2022 IEEE Global Communications Conference.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::354a7238c8c6f28db56caa666b33cdf5
https://doi.org/10.1109/globecom48099.2022.10001300
https://doi.org/10.1109/globecom48099.2022.10001300
Autor:
Sonia Cisneros-Cabrera, Anna-Valentini Michailidou, Sandra Sampaio, Pedro Sampaio, Anastasios Gounaris
Publikováno v:
Cisneros Cabrera, S, Michailidou, A, Sampaio, S, Sampaio, P & Gounaris, A 2021, ' Experimenting with Big Data Computing for Scaling Data Quality-Aware Query Processing ', Expert Systems with Applications . https://doi.org/10.1016/j.eswa.2021.114858
Combining query processing techniques with data quality management approaches enables enforcement of quality constraints, such as timeliness, accuracy and completeness, as part of ad-hoc query specification and execution, improving the quality of que
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b759f97f90e7b014038f3945c92d936c
https://doi.org/10.1016/j.eswa.2021.114858
https://doi.org/10.1016/j.eswa.2021.114858
Autor:
Jéssika Lesbon, Mirele Poleti, Elisângela de Mattos Oliveira, José Patané, Luan Clemente, Vincent Viala, Gabriela Ribeiro, Marta Giovanetti, Luiz de Alcantara, Olivia Teixeira, Maria Nonato, Loyze de Lima, Antonio Martins, Claudia dos Santos Barros, Elaine Marqueze, Jardelina de Souza Todão Bernardino, Debora Moretti, Ricardo Brassaloti, Raquel de Lello Rocha Campos Cassano, Pilar Mariani, Svetoslav Slavov, Rafael dos Santos, Evandra Rodrigues, Elaine Santos, Josiane Borges, Debora de La Roque, Joao Kitajima, Bibiana Santos, Patricia Assato, Felipe da Silva da Costa, Cecilia Banho, Livia Sacchetto, Marilia Moraes, Melissa Palmieri, Fabiana da Silva, Rejane Grotto, Jayme Souza-Neto, Mauricio Nogueira, Luiz Coutinho, Rodrigo Calado, Raul Neto, Dimas Covas, Simone Kashima, Maria Elias, Sandra Sampaio, Heidge Fukumasu
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Viruses
Viruses, Vol 13, Iss 2474, p 2474 (2021)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Universidade de São Paulo (USP)
instacron:USP
Viruses
Viruses, Vol 13, Iss 2474, p 2474 (2021)
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-04-29T08:46:11Z (GMT). No. of bitstreams: 0 Previous issue date: 2021-12-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c5f33e5517272e11992827e30753af6
Publikováno v:
Database and Expert Systems Applications-31st International Conference, DEXA 2020, Bratislava, Slovakia, September 14–17, 2020, Proceedings, Part II
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Database and Expert Systems Applications
Lecture Notes in Computer Science ISBN: 9783030590505
DEXA (2)
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Database and Expert Systems Applications
Lecture Notes in Computer Science ISBN: 9783030590505
DEXA (2)
Data Wrangling (DW) is an essential component of any big data analytics job, encompassing a large variety of complex operations to transform, integrate and clean sets of unrefined data. The inherent complexity and execution cost associated with DW wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0e80b97c69a342ddaa37b74b3acf754
Publikováno v:
BigComp
Essien, A, Petrounias, I, Sampaio, P & Sampaio, S 2019, Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning . in 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019-Proceedings ., 8679231, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019-Proceedings, IEEE Computer Society, Kyoto, Japan . https://doi.org/10.1109/bigcomp.2019.8679231
Essien, A, Petrounias, I, Sampaio, P & Sampaio, S 2019, Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning . in 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019-Proceedings ., 8679231, 2019 IEEE International Conference on Big Data and Smart Computing, BigComp 2019-Proceedings, IEEE Computer Society, Kyoto, Japan . https://doi.org/10.1109/bigcomp.2019.8679231
Traffic parameter forecasting is critical to effective traffic management but is a challenging task due to the stochasticity of traffic flow characteristics, especially in urban road networks. Traffic networks can be affected by external factors, suc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04ab4d3d91aecda1c9d752c7dcbc6971
https://doi.org/10.1109/bigcomp.2019.8679231
https://doi.org/10.1109/bigcomp.2019.8679231