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| SANTOS,PAULO C.C. DOS; LOPES,HELDER F.S.; ALCALDE,ROSANA; GONSALEZ,CLÁUDIO R.; ABE,JAIR M.; LOPEZ,LUIS F.. |
| ABSTRACT The high variability of HIV-1 as well as the lack of efficient repair mechanisms during the stages of viral replication, contribute to the rapid emergence of HIV-1 strains resistant to antiretroviral drugs. The selective pressure exerted by the drug leads to fixation of mutations capable of imparting varying degrees of resistance. The presence of these mutations is one of the most important factors in the failure of therapeutic response to medications. Thus, it is of critical to understand the resistance patterns and mechanisms associated with them, allowing the choice of an appropriate therapeutic scheme, which considers the frequency, and other characteristics of mutations. Utilizing Paraconsistents Artificial Neural Networks, seated in... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Artificial Neural Networks; HIV; Genotyping; Paraconsistent logic; Paraconsistents Artificial Neural Networks; Pattern recognition. |
| Ano: 2016 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652016000100323 |
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| Rossi,A.S.U.; Moura,L.M.; Miranda,M.C.; Muszkat,M.; Mello,C.B.; Bueno,O.F.A.. |
| This study aimed to explore attentional patterns among children with inattentive attention-deficit/hyperactivity disorder (ADHD-I) and children with typical development (TD), using a latent class analysis (LCA). Patterns of brain connectivity were also explored. The sample comprised 29 ADHD-I and 29 TD matched children. An LCA was conducted to reclassify subjects according to their attentional performance, considering cognitive measures of attention and behavioral symptoms, regardless of group of origin. The new clusters were then compared in respect to brain white matter measurements (extracted from diffusion tensor imaging). Participants were rearranged in 2 new latent classes, according to their performance in an attention task and the results of... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Attention-deficit/hyperactivity disorder; Attention; White matter; Pattern recognition; Diffusion tensor imaging. |
| Ano: 2018 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X2018001100604 |
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| ZIELINSKI,Acácio Antonio Ferreira; ALBERTI,Aline; BONA,Evandro; BORTOLINI,Débora Gonçalves; BENVENUTTI,Laís; BACH,Fabiane; Demiate,Ivo Mottin; NOGUEIRA,Alessandro. |
| Abstract The consumption of yerba mate beverages is related to several health benefits. These desirable properties are mainly due to the bioactive compounds. However, the levels of those compounds are directly affected by factors such as geographical origin. This study aimed to use chemometrics to evaluate the antioxidant compounds of yerba mate (consumed as chimarrão) marketed in southern Brazil. Neochlorogenic acid and caffeine were the main bioactive compounds found in this type of yerba mate beverage (chimarrão). The dataset was analyzed by chemometrics, and principal component analysis using the first three principal components explained 61.30% of the total variance. Hierarchical cluster analysis suggested three clusters, with cluster 1 containing the... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Bioactive compounds; Geographical origin; Chimarrão; HPLC; Pattern recognition. |
| Ano: 2020 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612020005006204 |
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| Vieira,Renato Giovanetti; Prestes,Rosilene Aparecida; Denardi,Frederico; Nogueira,Alessandro; Wosiacki,Gilvan. |
| The chemical composition of apple juices may be used to discriminate between the varieties for consumption and those for raw material. Fuji and Gala have a chemical pattern that can be used for this classification. Multivariate methods correlate independent continuous chemical descriptors with the categorical apple variety. Three main descriptors of apple juice were selected: malic acid, total reducing sugar and total phenolic compounds. A chemometric approach, employing PCA and SIMCA, was used to classify apple juice samples. PCA was performed with 24 juices from Fuji and Gala, and SIMCA, with 15 juices. The exploratory and predictive models recognized 88% and 64%, respectively, as belonging to a mixed domain. The apple juice from commercial fruits shows... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Chemometry; Chemical descriptor; Pattern recognition. |
| Ano: 2011 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0101-20612011000200021 |
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| Fimbres-Castro,Claudia; Álvarez-Borrego,Josué; Vázquez-Martínez,Irene; Espinoza-Carreón,T. Leticia; Ulloa-Pérez,A. Elsi; Bueno-Ibarra,Mario A. |
| In this paper a new methodology to recognize radk>larians is presented. This system is invariant to position, rotation and scale by using identity vectors signatures (Is) obtained for both the target and the problem image. In this application, / is obtained by means of a simplification of the main features of the original image in addition of the properties of the Fourier transform. Identity vectors signatures are compared using nonlinear correlation. This new methodology recognizes objects in a more simple way. It has a low computational cost of approximately 0.02 s per image. In addition, the statistics of Euclidean distances is used as an alternative methodology for comparison of the identity vectors signatures. Also, experiments were carried out in... |
| Tipo: Journal article |
Palavras-chave: Image processing; Invariant digital system; Pattern recognition; Plankton identification. |
| Ano: 2013 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-65382013000200005 |
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