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Wyszukujesz frazę "Chang, Y. F." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Vertical transmission of PCV2b to fetuses in sows intramuscularly infected with PCV2b
Autorzy:
Wang, N.D.
Li, J.J.
Wang, A.B.
Zhu, Z.
Chang, Y.
Mao, Y.
Zan, Y.
Wang, Z.F.
Deng, Z.B.
Powiązania:
https://bibliotekanauki.pl/articles/31535.pdf
Data publikacji:
2016
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Opis:
In order to investigate whether PCV2b can be transmitted across the placenta in sows thereby causing vertical infection of fetuses, six sows in 75 day of pregnancy were either intramuscularly inoculated with a PCV2b culture supernatant (n = 4) or mock infected with cell culture supernatant (n = 2). At parturition, 3 newborn piglets from each litter were randomly selected and euthanatized prior to suckling. Samples of the mesenteric lymph nodes, spleens, kidneys, hearts and lungs were collected for PCR, histopathological and immunohistochemical assays. The results showed that the newborn piglets from PCV2b-infected sows had histopathological lesions in the tested tissues. Moreover, PCV2b antigen and DNA were detected as well. These findings therefore suggested that porcine circovirus type 2b can be transmitted across the placenta of sows, thereby leading to PCV2b vertical infection of the fetuses.
Źródło:
Polish Journal of Veterinary Sciences; 2016, 19, 3
1505-1773
Pojawia się w:
Polish Journal of Veterinary Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Efficient online handwritten Chinese character recognition system using a two-dimensional functional relationship model
Autorzy:
Chang, Y. F.
Lee, J. C.
Mohd Rijal, O.
Syed Abu Bakar, S. A. R.
Powiązania:
https://bibliotekanauki.pl/articles/908140.pdf
Data publikacji:
2010
Wydawca:
Uniwersytet Zielonogórski. Oficyna Wydawnicza
Tematy:
2D
współczynnik determinacji
rozpoznawanie
pismo odręczne
pismo chińskie
falka Haara
model relacyjny
2D functional classifier
coefficient of determination
handwritten Chinese character recognition
Haar wavelet
multidimensional functional relationship model
Opis:
This paper presents novel feature extraction and classification methods for online handwritten Chinese character recognition (HCCR). The X-graph and Y-graph transformation is proposed for deriving a feature, which shows useful properties such as invariance to different writing styles. Central to the proposed method is the idea of capturing the geometrical and topological information from the trajectory of the handwritten character using the X-graph and the Y-graph. For feature size reduction, the Haar wavelet transformation was applied on the graphs. For classification, the coefficient of determination [...] from the two-dimensional unreplicated linear functional relationship model is proposed as a similarity measure. The proposed methods show strong discrimination power when handling problems related to size, position and slant variation, stroke shape deformation, close resemblance of characters, and non-normalization. The proposed recognition system is applied to a database with 3000 frequently used Chinese characters, yielding a high recognition rate of 97.4% with reduced processing time of 75.31%, 73.05%, 58.27% and 40.69% when compared with recognition systems using the city block distance with deviation (CBDD), the minimum distance (MD), the compound Mahalanobis function (CMF) and the modified quadratic discriminant function (MQDF), respectively. High precision rates were also achieved.
Źródło:
International Journal of Applied Mathematics and Computer Science; 2010, 20, 4; 727-738
1641-876X
2083-8492
Pojawia się w:
International Journal of Applied Mathematics and Computer Science
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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