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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Tabuleiros Costeiros. |
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Data corrente: |
06/09/2017 |
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Data da última atualização: |
21/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
MACIEL, R. J. S.; SILVA, M. A. S. da; MATOS, L. N.; DOMPIERI, M. H. G. |
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Afiliação: |
RENATO JOSE SANTOS MACIEL, CNPTIA; MARCOS AURELIO SANTOS DA SILVA, CPATC; UFS; MARCIA HELENA GALINA DOMPIERI, CPATC. |
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Título: |
A neural qualitative approach for automatic territorial zoning. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
A neural qualitative approach for automatic territorial zoning. In: INTERNATIONAL CONFERENCE ON GEOCOMPUTATION, 21., 2017, Leeds. Celebrating 21 years of GeoComputation: extended abstracts. Leeds: University of Leeds, 2017. |
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Páginas: |
p. 1-7. |
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Idioma: |
Inglês
Português |
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Notas: |
GeoComputation 2017. |
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Conteúdo: |
This article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic territorial zoning by combining the handle of categorical data and the other for automatic clustering. The SOM online learning algorithm had been chosen to treat categorical data by using the dot product method and the Sorense-Dice binary similarity coefficient. To automatically perform a spatial clustering, an adaptation of the automatic clustering Costa-Netto algorithm had been also proposed. The correspondence analysis had been used to examine the profiles of each homogeneous zones. To explore the approach it has been performed the territorial zoning of the Alto Taquari River Basin, Brazil, using as input data a set of thematic maps. The results indicate the applicability of the approach to perform the exploratory territorial zoning. |
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Palavras-Chave: |
Alto Taquari River Basin; Análise espacial; Bacia do Alto Taquari; Exploratory spatial analysis; Maps; Self-organizing maps; Similarity coefficients; Zoneamento. |
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Thesagro: |
Mapa; Recurso hídrico; Rio. |
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Thesaurus Nal: |
Correspondence analysis; Thematic maps; Zoning. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171403/1/Neural-quantitative-Maciel-Geocomputing.pdf
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Marc: |
LEADER 01979nam a2200337 a 4500
001 2085890
005 2020-01-21
008 2017 bl uuuu u00u1 u #d
100 1 $aMACIEL, R. J. S.
245 $aA neural qualitative approach for automatic territorial zoning.$h[electronic resource]
260 $aA neural qualitative approach for automatic territorial zoning. In: INTERNATIONAL CONFERENCE ON GEOCOMPUTATION, 21., 2017, Leeds. Celebrating 21 years of GeoComputation: extended abstracts. Leeds: University of Leeds$c2017
300 $ap. 1-7.
500 $aGeoComputation 2017.
520 $aThis article presents the application of the Self-Organizing Maps (SOM) as an exploratory tool for automatic territorial zoning by combining the handle of categorical data and the other for automatic clustering. The SOM online learning algorithm had been chosen to treat categorical data by using the dot product method and the Sorense-Dice binary similarity coefficient. To automatically perform a spatial clustering, an adaptation of the automatic clustering Costa-Netto algorithm had been also proposed. The correspondence analysis had been used to examine the profiles of each homogeneous zones. To explore the approach it has been performed the territorial zoning of the Alto Taquari River Basin, Brazil, using as input data a set of thematic maps. The results indicate the applicability of the approach to perform the exploratory territorial zoning.
650 $aCorrespondence analysis
650 $aThematic maps
650 $aZoning
650 $aMapa
650 $aRecurso hídrico
650 $aRio
653 $aAlto Taquari River Basin
653 $aAnálise espacial
653 $aBacia do Alto Taquari
653 $aExploratory spatial analysis
653 $aMaps
653 $aSelf-organizing maps
653 $aSimilarity coefficients
653 $aZoneamento
700 1 $aSILVA, M. A. S. da
700 1 $aMATOS, L. N.
700 1 $aDOMPIERI, M. H. G.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Registro Completo
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Biblioteca(s): |
Embrapa Gado de Corte. |
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Data corrente: |
21/02/2018 |
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Data da última atualização: |
21/02/2018 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 2 |
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Autoria: |
BIGI, M. M.; BLANCO, F. C.; ARAUJO, F. R.; THACKER, T. C.; ZUMÁRRAGA, M. J.; CATALDI, A. A.; SORIA, M. A.; BIGI, F. |
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Afiliação: |
María M. Bigi, School of Agronomy - UBA; Federico Carlos Blanco, Biotechnology Institute/National Institute of Agricultural Technology - INTA; FLABIO RIBEIRO ARAUJO, CNPGC; Tyler C. Thacker, United States Department of Agriculture/Agricultural Research Service/National Animal Disease Center; Martín J. Zumárraga, Biotechnology Institute/National Institute of Agricultural Technology - INTA; Angel A. Cataldi, Biotechnology Institute/National Institute of Agricultural Technology - INTA; Marcelo A. Soria, School of Agronomy - UBA; Fabiana Bigi, Biotechnology Institute/National Institute of Agricultural Technology - INTA. |
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Título: |
Polymorphisms of 20 regulatory proteins between Mycobacterium tuberculosis and Mycobacterium bovis. |
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Ano de publicação: |
2016 |
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Fonte/Imprenta: |
Microbiology and Immunology, v. 60, n. 8, p. 552-560, August 2016 |
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Idioma: |
Inglês |
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Conteúdo: |
Mycobacterium tuberculosis and Mycobacterium bovis are responsible for tuberculosis in humans and animals, respectively. Both species are closely related and belong to the Mycobacterium tuberculosis complex (MTC). M. tuberculosis is the most ancient species from which M. bovis and other members of the MTCevolved. The genome of M. bovis is over>99.95% identical to that of M. tuberculosis but with seven deletions ranging in size from 1 to 12.7 kb. In addition, 1200 single nucleotide mutations in coding regions distinguish M. bovis from M. tuberculosis. In the present study, we assessed 75 M. tuberculosis genomes and 23 M. bovis genomes to identify non-synonymous mutations in 202 coding sequences of regulatory genes between both species. We identified species-specific variants in 20 regulatory proteins and confirmed differential expression of hypoxia-related genes between M. bovis and M. tuberculosis. |
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Palavras-Chave: |
Regulator. |
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Thesagro: |
Anoxia; Mycobacterium Bovis; Polimorfismo. |
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Thesaurus NAL: |
Mycobacterium tuberculosis; Polymorphism. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/172939/1/27-Polymorphisms-of-20-regulatory-proteins-between-Mycobacterium-tuberculosis-and-Mycobacterium-bovis-2016.pdf
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Marc: |
LEADER 01718naa a2200277 a 4500
001 2087980
005 2018-02-21
008 2016 bl uuuu u00u1 u #d
100 1 $aBIGI, M. M.
245 $aPolymorphisms of 20 regulatory proteins between Mycobacterium tuberculosis and Mycobacterium bovis.$h[electronic resource]
260 $c2016
520 $aMycobacterium tuberculosis and Mycobacterium bovis are responsible for tuberculosis in humans and animals, respectively. Both species are closely related and belong to the Mycobacterium tuberculosis complex (MTC). M. tuberculosis is the most ancient species from which M. bovis and other members of the MTCevolved. The genome of M. bovis is over>99.95% identical to that of M. tuberculosis but with seven deletions ranging in size from 1 to 12.7 kb. In addition, 1200 single nucleotide mutations in coding regions distinguish M. bovis from M. tuberculosis. In the present study, we assessed 75 M. tuberculosis genomes and 23 M. bovis genomes to identify non-synonymous mutations in 202 coding sequences of regulatory genes between both species. We identified species-specific variants in 20 regulatory proteins and confirmed differential expression of hypoxia-related genes between M. bovis and M. tuberculosis.
650 $aMycobacterium tuberculosis
650 $aPolymorphism
650 $aAnoxia
650 $aMycobacterium Bovis
650 $aPolimorfismo
653 $aRegulator
700 1 $aBLANCO, F. C.
700 1 $aARAUJO, F. R.
700 1 $aTHACKER, T. C.
700 1 $aZUMÁRRAGA, M. J.
700 1 $aCATALDI, A. A.
700 1 $aSORIA, M. A.
700 1 $aBIGI, F.
773 $tMicrobiology and Immunology$gv. 60, n. 8, p. 552-560, August 2016
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Embrapa Gado de Corte (CNPGC) |
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