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Wyszukujesz frazę "Patino, S." wg kryterium: Autor


Wyświetlanie 1-2 z 2
Tytuł:
Sexual dimorphism of flathead mullet (Mugil cephalus) from Northern Mindanao rivers using geometric morphometric analysis
Autorzy:
Silos, R.-A.
Hernando, B.J.
Juario, J.
Patino, S.
Casas, P.A.
D'Zeim Arreza, J.
Responte, A.
Vedra, S.A.
Powiązania:
https://bibliotekanauki.pl/articles/11206.pdf
Data publikacji:
2015
Wydawca:
Przedsiębiorstwo Wydawnictw Naukowych Darwin / Scientific Publishing House DARWIN
Opis:
Sexual dimorphism is biologically important for determining the morphological traits of marine species. Flathead mullet (Mugil cephalus) was examined based on the patterns of sexual dimorphism from the two rivers in Northern Mindanao. The samples were collected from Cagayan de Oro River and Mandulog River to investigate phenotypic divergence and sexual dimorphism in two different populations of wild-caught M. cephalus using geometric morphology based on landmark basis. A total of 17 landmarks were identified to describe the left and right body shapes of the specimen using the TpsRelw (version 1) to obtain the warp scores of each population. Results of the Relative Warp Analysis show no significant variation in the body shape within the sexes in the respective sampling sites. Results of the discriminant function analysis (DFA) show that in Cagayan de Oro River there is no significant variation in the body shape of mullets between sexes suggesting no sexual dimorphism in the flathead mullets in Cagayan de Oro River. In contrast , Discriminant Function Analysis show that there is significant variation in body shape between sexes in Mandulog River in Iligan City suggesting presence of sexual dimorphism in the area which can be due to the presence of abundant and highly diverse predator species in Mandulog River. Sexual dimorphosm can be used by fishes as an adaptive mechanism to maximize predator-escape performance and survival capacity. Furthermore, there is a significant shape variation between populations of mullets in Cagayan de Oro and Mandulog River which can be interpreted as due to geographic isolation which serves as physical barrier on the gene pool. In conclusion, many factors could account for variation in body shape of Mugil cephalus including predation and biogeographical barriers.
Źródło:
International Letters of Natural Sciences; 2015, 45
2300-9675
Pojawia się w:
International Letters of Natural Sciences
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Energy associated tuning method for short-term series forecasting by complete and incomplete datasets
Autorzy:
Rodríguez-Rivero, C.
Pucheta, J.
Laboret, S.
Sauchelli, V.
Patińo, D.
Powiązania:
https://bibliotekanauki.pl/articles/91842.pdf
Data publikacji:
2017
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
short time series
forecasting
missing data
energy associated to series
complete datasets
incomplete datasets
Opis:
This article presents short-term predictions using neural networks tuned by energy associated to series based-predictor filter for complete and incomplete datasets. A benchmark of high roughness time series from Mackay Glass (MG), Logistic (LOG), Henon (HEN) and some univariate series chosen from NN3 Forecasting Competition are used. An average smoothing technique is assumed to complete the data missing in the dataset. The Hurst parameter estimated through wavelets is used to estimate the roughness of the real and forecasted series. The validation and horizon of the time series is presented by the 15 values ahead. The performance of the proposed filter shows that even a short dataset is incomplete, besides a linear smoothing technique employed; the prediction is almost fair by means of SMAPE index. Although the major result shows that the predictor system based on energy associated to series has an optimal performance from several chaotic time series, in particular, this method among other provides a good estimation when the short-term series are taken from one point observations.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2017, 7, 1; 5-16
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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