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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
18/04/2005 |
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Data da última atualização: |
17/01/2020 |
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Autoria: |
OLIVEIRA, S. R. de M.; ZAÏANE, O. R. |
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Afiliação: |
STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; OSMAR R. ZAÏANE, University of Alberta. |
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Título: |
Achieving privacy preservation when sharing data for clustering. |
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Ano de publicação: |
2004 |
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Fonte/Imprenta: |
In: SECURE DATA MANAGEMENT WORKSHOP, 2004, Toronto. Secure data management: proceedings. Berlin: Springer, 2004. p. 67-82. |
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Série: |
(Lectures Notes in Computer Science, 3178). |
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ISBN: |
3-540-22983-3 |
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Idioma: |
Inglês |
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Notas: |
SDM 2004. Na publicação: Stanley R.M. Oliveira. |
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Conteúdo: |
Abstract. In this paper, we address the problem of protecting the underlying attribute values when sharing data for clustering. The challenge is how to meet privacy requirements and guarantee valid clustering results as well. To achieve this dual goal, we propose a novel spatial data transformation method called Rotation-Based Transformation (RBT). The major features of our data transformation are: a) it is independent of any clustering algorithm, b) it has a sound mathematical foundation; c) it is efficient and accurate; and d) it does not rely on intractability hypotheses from algebra and does not require CPU-intensive operations. We show analytically that although the data are transformed to achieve privacy, we can also get accurate clustering results by the safeguard of the global distances between data points. |
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Palavras-Chave: |
Clustering; Clusterização; Privacidade. |
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Thesaurus Nal: |
Cluster analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01559nam a2200205 a 4500
001 1009025
005 2020-01-17
008 2004 bl uuuu u00u1 u #d
020 $a3-540-22983-3
100 1 $aOLIVEIRA, S. R. de M.
245 $aAchieving privacy preservation when sharing data for clustering.$h[electronic resource]
260 $aIn: SECURE DATA MANAGEMENT WORKSHOP, 2004, Toronto. Secure data management: proceedings. Berlin: Springer, 2004. p. 67-82.$c2004
490 $a(Lectures Notes in Computer Science, 3178).
500 $aSDM 2004. Na publicação: Stanley R.M. Oliveira.
520 $aAbstract. In this paper, we address the problem of protecting the underlying attribute values when sharing data for clustering. The challenge is how to meet privacy requirements and guarantee valid clustering results as well. To achieve this dual goal, we propose a novel spatial data transformation method called Rotation-Based Transformation (RBT). The major features of our data transformation are: a) it is independent of any clustering algorithm, b) it has a sound mathematical foundation; c) it is efficient and accurate; and d) it does not rely on intractability hypotheses from algebra and does not require CPU-intensive operations. We show analytically that although the data are transformed to achieve privacy, we can also get accurate clustering results by the safeguard of the global distances between data points.
650 $aCluster analysis
653 $aClustering
653 $aClusterização
653 $aPrivacidade
700 1 $aZAÏANE, O. R.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Gado de Leite; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Unidades Centrais. |
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Data corrente: |
22/01/2024 |
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Data da última atualização: |
02/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
MAGARELLI, G.; SILVA, J. G. da; RIBEIRO, C. L.; FREITAS, T. V. de; RODRIGUES, M. A.; GIL, E. de S.; MARRACCINI, P.; SOUZA, J. R. de; CASTRO, C. S. P. de; BEMQUERER, M. P. |
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Afiliação: |
GABRIELLA MAGARELLI, Cenargen; JONATAS GOMES DA SILVA, UNIVERSIDADE FEDERAL DO OESTE DA BAHIA; CAROLINE LUCHTENBERG RIBEIRO; THIAGO VIANA DE FREITAS; MAGALI APARECIDA RODRIGUES, UNIVERSIDADE DE SAO PAULO; ERIC DE SOUZA GIL, UNIVERSIDADE FEDERAL DE GOIAS; PIERRE MARRACCINI, CIRAD; JURANDIR RODRIGUES DE SOUZA, UNIVERSIDADE DE BRASÍLIA; CLARISSA SILVA PIRES DE CASTRO, GIS; MARCELO PORTO BEMQUERER, CNPGL. |
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Título: |
A voltammetric peptide biosensor for Cu2+ metal ion quantification in coffee seeds. |
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Ano de publicação: |
2024 |
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Fonte/Imprenta: |
Journal of Inorganic Biochemistry, v. 251, 112441, 2024. |
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DOI: |
https://doi.org/10.1016/j.jinorgbio.2023.112441 |
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Idioma: |
Inglês |
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Conteúdo: |
A prion-derived copper(II)-binding peptide was assembled onto a gold electrode for the building of a voltammetric biosensor for measuring the Cu2+ metal ion in biological samples. The chosen sequence was HCVNITKQHTVTTTT-NH2, with an appended cysteine residue for binding to the gold surface as a self-assembled monolayer and a histidine residue as the anchorage point for copper(II) complexation. The biosensor showed a linear range of 10-7 to 10-6 M with an 8.0 x 10-8 M detection limit and a 1.0 x 10-7 M quantification limit, with good precision, trueness, and absence of matrix effect. The quantification of Cu2+ was performed in the presence of other transition metal ions, such as Zn2+, Cd2+, Fe2+, or Ni2+, which indicates the excellent selectivity of the biosensor. When the modified electrode was applied for measuring copper(II) in calcined coffee seeds, a difference in copper amount was observed between two Coffea arabica cultivars that were submitted to a treatment with a copper-based antifungal, showing the applicability of the biosensor in the agricultural field. |
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Palavras-Chave: |
Biossensor peptídico; Coffee seeds; Peptide biosensor; Prion peptide; Voltametria; Voltammetry. |
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Thesagro: |
Café; Peptídeo; Semente. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 02087naa a2200349 a 4500
001 2161562
005 2024-02-02
008 2024 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1016/j.jinorgbio.2023.112441$2DOI
100 1 $aMAGARELLI, G.
245 $aA voltammetric peptide biosensor for Cu2+ metal ion quantification in coffee seeds.$h[electronic resource]
260 $c2024
520 $aA prion-derived copper(II)-binding peptide was assembled onto a gold electrode for the building of a voltammetric biosensor for measuring the Cu2+ metal ion in biological samples. The chosen sequence was HCVNITKQHTVTTTT-NH2, with an appended cysteine residue for binding to the gold surface as a self-assembled monolayer and a histidine residue as the anchorage point for copper(II) complexation. The biosensor showed a linear range of 10-7 to 10-6 M with an 8.0 x 10-8 M detection limit and a 1.0 x 10-7 M quantification limit, with good precision, trueness, and absence of matrix effect. The quantification of Cu2+ was performed in the presence of other transition metal ions, such as Zn2+, Cd2+, Fe2+, or Ni2+, which indicates the excellent selectivity of the biosensor. When the modified electrode was applied for measuring copper(II) in calcined coffee seeds, a difference in copper amount was observed between two Coffea arabica cultivars that were submitted to a treatment with a copper-based antifungal, showing the applicability of the biosensor in the agricultural field.
650 $aCafé
650 $aPeptídeo
650 $aSemente
653 $aBiossensor peptídico
653 $aCoffee seeds
653 $aPeptide biosensor
653 $aPrion peptide
653 $aVoltametria
653 $aVoltammetry
700 1 $aSILVA, J. G. da
700 1 $aRIBEIRO, C. L.
700 1 $aFREITAS, T. V. de
700 1 $aRODRIGUES, M. A.
700 1 $aGIL, E. de S.
700 1 $aMARRACCINI, P.
700 1 $aSOUZA, J. R. de
700 1 $aCASTRO, C. S. P. de
700 1 $aBEMQUERER, M. P.
773 $tJournal of Inorganic Biochemistry$gv. 251, 112441, 2024.
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Embrapa Unidades Centrais (AI-SEDE) |
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