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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. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Gado de Leite. |
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Data corrente: |
03/10/2011 |
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Data da última atualização: |
05/02/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ASTOLFI, G.; MAGALHAES, V. M. A. de; SILVA, M. A. R.; ANACLETO, J. C. |
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Afiliação: |
GILBERTO ASTOLFI, UFSCAR; VANESSA MAIA AGUIAR DE MAGALHAES, CNPGL; MARCOS ALEXANDRE ROSE SILVA, UFSCAR; JUNIA COUTINHO ANACLETO, UFSCAR. |
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Título: |
Identifying people who are talking about the same topic in social networks even having a different cultural background. |
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Ano de publicação: |
2011 |
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Fonte/Imprenta: |
Revista de Informática Teórica e Aplicada, v. 17, n. 2, p. 234-248, 2011. |
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DOI: |
https://doi.org/10.22456/2175-2745.16996 |
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Idioma: |
Inglês |
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Conteúdo: |
Social media are assumed here as a blending of technology and social interaction for the co-creation of value, as in social networks. We discuss that in such environments, it is possible to find people with common interests that potentially can promote discussions, teaching and learning from each other. However, the approaches to recommend people to interact with in the social network still do not consider the users’ cultural background. This paper describes an approach to identify people who are talking about the same topic in social networks, even having a different cultural background, in order to introduce to each other and leverage interaction to exchange experience, knowledge, etc. Some tests’ results applying the proposal are presented. The approach was adopted in three different topics of discussion and the resultssuggest that the generated cultural understanding improves the chances of identifying people with similar interests. |
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Palavras-Chave: |
Cultural knowledge database; Cultural translation; Feasibility study. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01673naa a2200205 a 4500
001 1902102
005 2024-02-05
008 2011 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.22456/2175-2745.16996$2DOI
100 1 $aASTOLFI, G.
245 $aIdentifying people who are talking about the same topic in social networks even having a different cultural background.$h[electronic resource]
260 $c2011
520 $aSocial media are assumed here as a blending of technology and social interaction for the co-creation of value, as in social networks. We discuss that in such environments, it is possible to find people with common interests that potentially can promote discussions, teaching and learning from each other. However, the approaches to recommend people to interact with in the social network still do not consider the users’ cultural background. This paper describes an approach to identify people who are talking about the same topic in social networks, even having a different cultural background, in order to introduce to each other and leverage interaction to exchange experience, knowledge, etc. Some tests’ results applying the proposal are presented. The approach was adopted in three different topics of discussion and the resultssuggest that the generated cultural understanding improves the chances of identifying people with similar interests.
653 $aCultural knowledge database
653 $aCultural translation
653 $aFeasibility study
700 1 $aMAGALHAES, V. M. A. de
700 1 $aSILVA, M. A. R.
700 1 $aANACLETO, J. C.
773 $tRevista de Informática Teórica e Aplicada$gv. 17, n. 2, p. 234-248, 2011.
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Embrapa Gado de Leite (CNPGL) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Soja. Para informações adicionais entre em contato com valeria.cardoso@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Soja. |
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Data corrente: |
10/02/2010 |
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Data da última atualização: |
31/08/2017 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
PINTO, T. L. F.; CICERO, S. M.; FRANÇA-NETO, J. B.; FORTI, V. A. |
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Afiliação: |
T. L. F. PINTO, USP/ESALQ; S. M. CICERO, USP/ESALQ; JOSÉ DE BARROS FRANÇA-NETO, CNPSo; V. A. FORTI, USP/ESALQ. |
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Título: |
An assessment of mechanical and stink bug damange in soybean seed using X-ray analysis test. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
Seed Science and Technology, Zurich, v. 37, n. 1, p. 110-120, 2009. |
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Idioma: |
Inglês |
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Conteúdo: |
The X-ray image analysis technique is a precise method that enables examination of regions that are damaged and/or altered in seed and their location and extension. It is a non-destructive method allowing the X-ray treated seed to be submitted to quality physiological tests. The objective of this study was to use X-ray image analysis technique to identify mechanical and stink bug damages in soybean seed. Seeds from different batches of the BRS184 cultivar were sorted by X-ray test and then were tested for germination with the aim to relate the damage with possible seed viability loss. Alternatively, the tetrazolium test was carried out to be compared with the X-ray test. Damage severity and location were considered for the interpretive analysis of X-ray images. The results showed that the X-ray image analysis technique was effective in detecting mechanical and stink bug damage in soybean seed. |
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Thesagro: |
Fungo; Percevejo; Raio x; Semente; Soja. |
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Thesaurus NAL: |
Eremothecium coryli; Pentatomidae; Seeds; Soybeans. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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Marc: |
LEADER 01614naa a2200265 a 4500
001 1657469
005 2017-08-31
008 2009 bl uuuu u00u1 u #d
100 1 $aPINTO, T. L. F.
245 $aAn assessment of mechanical and stink bug damange in soybean seed using X-ray analysis test.
260 $c2009
520 $aThe X-ray image analysis technique is a precise method that enables examination of regions that are damaged and/or altered in seed and their location and extension. It is a non-destructive method allowing the X-ray treated seed to be submitted to quality physiological tests. The objective of this study was to use X-ray image analysis technique to identify mechanical and stink bug damages in soybean seed. Seeds from different batches of the BRS184 cultivar were sorted by X-ray test and then were tested for germination with the aim to relate the damage with possible seed viability loss. Alternatively, the tetrazolium test was carried out to be compared with the X-ray test. Damage severity and location were considered for the interpretive analysis of X-ray images. The results showed that the X-ray image analysis technique was effective in detecting mechanical and stink bug damage in soybean seed.
650 $aEremothecium coryli
650 $aPentatomidae
650 $aSeeds
650 $aSoybeans
650 $aFungo
650 $aPercevejo
650 $aRaio x
650 $aSemente
650 $aSoja
700 1 $aCICERO, S. M.
700 1 $aFRANÇA-NETO, J. B.
700 1 $aFORTI, V. A.
773 $tSeed Science and Technology, Zurich$gv. 37, n. 1, p. 110-120, 2009.
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