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Registro Completo |
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Biblioteca(s): |
Embrapa Agroindústria Tropical. |
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Data corrente: |
07/01/2019 |
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Data da última atualização: |
29/01/2019 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
PEDRA, N. S.; GALDINO, K. C. A.; SILVA, D. S.; RAMOS, P. T.; BONA, N. P.; SOARES, M. S. P.; AZAMBUJA, J. H.; CANUTO, K. M.; BRITO, E. S. de; RIBEIRO, P. R. V.; SOUZA, A. S. de Q.; CUNICO, W.; STEFANELLO, F. M.; SPANEVELLO, R. M.; BRAGANHOL, E. |
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Afiliação: |
Nathalia Stark Pedra, Universidade Federal de Pelotas; Kennia de Cássia Araújo Galdino, Universidade Federal de Pelotas; Daniel Schuch da Silva, Universidade Federal de Pelotas; Priscila Treptow Ramos, Universidade Federal de Pelotas; Natália Pontes Bona, Universidade Federal de Pelotas; Mayara Sandrielly Pereira Soares, Universidade Federal de Pelotas; Juliana Hoffstater Azambuja, Universidade Federal de Ciências da Saúde de Porto Alegre, Departamento de Ciências Básicas da Saúde; KIRLEY MARQUES CANUTO, CNPAT; EDY SOUSA DE BRITO, CNPAT; PAULO RICELI VASCONCELOS RIBEIRO, CNPAT; Ana Sheila de Queiroz Souza, Embrapa Agroindústria Tropical (bolsista); Wilson Cunico, Universidade Federal de Pelotas; Francieli Moro Stefanello, Universidade Federal de Pelotas; Roselia Maria Spanevello, Universidade Federal de Pelotas; Elizandra Braganhol, Universidade Federal de Pelotas. |
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Título: |
Endophytic Fungus Isolated From Achyrocline satureioides Exhibits Selective Antiglioma Activity - The Role of Sch-642305. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Frontiers in Oncology, v. 8, art. 476, 2018. |
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Idioma: |
Inglês |
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Palavras-Chave: |
Agente antineoplásico; Glioblastoma. |
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Thesagro: |
Antioxidante. |
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Thesaurus Nal: |
Achyrocline satureioides; Antioxidants; Lactones. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/190237/1/ART18098.pdf
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Marc: |
LEADER 01027naa a2200349 a 4500
001 2103186
005 2019-01-29
008 2018 bl uuuu u00u1 u #d
100 1 $aPEDRA, N. S.
245 $aEndophytic Fungus Isolated From Achyrocline satureioides Exhibits Selective Antiglioma Activity - The Role of Sch-642305.$h[electronic resource]
260 $c2018
650 $aAchyrocline satureioides
650 $aAntioxidants
650 $aLactones
650 $aAntioxidante
653 $aAgente antineoplásico
653 $aGlioblastoma
700 1 $aGALDINO, K. C. A.
700 1 $aSILVA, D. S.
700 1 $aRAMOS, P. T.
700 1 $aBONA, N. P.
700 1 $aSOARES, M. S. P.
700 1 $aAZAMBUJA, J. H.
700 1 $aCANUTO, K. M.
700 1 $aBRITO, E. S. de
700 1 $aRIBEIRO, P. R. V.
700 1 $aSOUZA, A. S. de Q.
700 1 $aCUNICO, W.
700 1 $aSTEFANELLO, F. M.
700 1 $aSPANEVELLO, R. M.
700 1 $aBRAGANHOL, E.
773 $tFrontiers in Oncology$gv. 8, art. 476, 2018.
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Registro original: |
Embrapa Agroindústria Tropical (CNPAT) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
12/09/2013 |
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Data da última atualização: |
04/02/2014 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 5 |
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Autoria: |
CORDEIRO, A. F. da S.; NÄÄS, I. de A.; OLIVEIRA, S. R. de M.; VIOLARO, F.; NEVES, D. P. |
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Afiliação: |
ALEXANDRA FERREIRA DA SILVA CORDEIRO, Unicamp; IRENILZA DE ALENCAR NÄÄS, UNICAMP; STANLEY ROBSON DE MEDEIROS OLIVEIRA, CNPTIA; FABIO VIOLARO, Unicamp; DIEGO PEREIRA NEVES, Unicamp. |
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Título: |
Understanding vocalization might help to assess stressful conditions in piglets. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Animals, v. 3, n. 3, p. 923-934, 2013. |
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DOI: |
10.3390/ani3030923 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: Assessing pigs? welfare is one of the most challenging subjects in intensive pig farming. Animal vocalization analysis is a noninvasive procedure and may be used as a tool for assessing animal welfare status. The objective of this research was to identify stress conditions in piglets reared in farrowing pens through their vocalization. Vocal signals were collected from 40 animals under the following situations: normal (baseline), feeling cold, in pain, and feeling hunger. A unidirectional microphone positioned about 15 cm from the animals? mouth was used for recording the acoustic signals. The microphone was connected to a digital recorder, where the signals were digitized at the 44,100 Hz frequency. The collected sounds were edited and analyzed. The J48 decision tree algorithm available at the Weka® data mining software was used for stress classification. It was possible to categorize diverse conditions from the piglets? vocalization during the farrowing phase (pain, cold and hunger), with an accuracy rate of 81.12%. Results indicated that vocalization might be an effective welfare indicator, and it could be applied for assessing distress from pain, cold and hunger in farrowing piglets. |
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Palavras-Chave: |
Algoritmo. |
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Thesagro: |
Suíno; Suinocultura. |
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Thesaurus NAL: |
Algorithms; Mathematical models; Piglets; Swine; Young animals. |
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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/89323/1/animals-03-00923.pdf
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Marc: |
LEADER 01975naa a2200277 a 4500
001 1966129
005 2014-02-04
008 2013 bl uuuu u00u1 u #d
024 7 $a10.3390/ani3030923$2DOI
100 1 $aCORDEIRO, A. F. da S.
245 $aUnderstanding vocalization might help to assess stressful conditions in piglets.$h[electronic resource]
260 $c2013
520 $aAbstract: Assessing pigs? welfare is one of the most challenging subjects in intensive pig farming. Animal vocalization analysis is a noninvasive procedure and may be used as a tool for assessing animal welfare status. The objective of this research was to identify stress conditions in piglets reared in farrowing pens through their vocalization. Vocal signals were collected from 40 animals under the following situations: normal (baseline), feeling cold, in pain, and feeling hunger. A unidirectional microphone positioned about 15 cm from the animals? mouth was used for recording the acoustic signals. The microphone was connected to a digital recorder, where the signals were digitized at the 44,100 Hz frequency. The collected sounds were edited and analyzed. The J48 decision tree algorithm available at the Weka® data mining software was used for stress classification. It was possible to categorize diverse conditions from the piglets? vocalization during the farrowing phase (pain, cold and hunger), with an accuracy rate of 81.12%. Results indicated that vocalization might be an effective welfare indicator, and it could be applied for assessing distress from pain, cold and hunger in farrowing piglets.
650 $aAlgorithms
650 $aMathematical models
650 $aPiglets
650 $aSwine
650 $aYoung animals
650 $aSuíno
650 $aSuinocultura
653 $aAlgoritmo
700 1 $aNÄÄS, I. de A.
700 1 $aOLIVEIRA, S. R. de M.
700 1 $aVIOLARO, F.
700 1 $aNEVES, D. P.
773 $tAnimals$gv. 3, n. 3, p. 923-934, 2013.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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