Autor: Gaglio, G. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Influence of gastrointestinal trichostrongylidosis on ram fertility
Autorzy:: Gaglio, G.
Poglayen, G.
Capelli, G.
Gruner, L.
Mara, L.
Giannetto, S.
Scala, A.
Powiązania:: https://bibliotekanauki.pl/articles/32463.pdf
Data publikacji:: 2010
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: parasite
gastrointestinal trichostrongylidosis
ram
fertility
trichostrongylidosis
Sarda breed
animal infection
Haemonchus contortus
Trichostrongylus colubriformis
Teladorsagia circumcincta
sheep
Opis:: A study on the influence of gastrointestinal trichostrongyles on ram fertility was performed. Two groups of semen donor rams (Sarda breed) were utilized; one was experimentally infected with Haemonchus contortus, Trichostrongylus colubriformis and Teladorsagia circumcincta and the other was used as a control group. In all animals, coprological, haematological and reproductive parameters were studied. The results suggest that the parasites had a limited effect with some changes in phosphorus, cholesterol and chlorine levels. In our experience the parasitic burden produced no significant change on ram fertility.
Źródło:: Polish Journal of Veterinary Sciences; 2010, 13, 4
1505-1773
Pojawia się w:: Polish Journal of Veterinary Sciences
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Assessing coastal sustainability: a Bayesian approach for modeling and estimating a global index for measuring risk
Autorzy:: Vitabile, S.
Farruggia, A.
Pernice, G.
Gaglio, S.
Powiązania:: https://bibliotekanauki.pl/articles/307918.pdf
Data publikacji:: 2013
Wydawca:: Instytut Łączności - Państwowy Instytut Badawczy
Tematy:: Bayesian networks
decision support systems
integrated coastal zone management
Sustainable Coastal Index
Opis:: Integrated Coastal Zone Management is an emerging research area. The aim is to provide a global view of different and heterogeneous aspects interacting in a geographical area. Decision Support Systems, integrating Computational Intelligence methods, can be successfully used to estimate useful anthropic and environmental indexes. Bayesian Networks have been widely used in the environmental science domain. In this paper a Bayesian model for estimating the Sustainable Coastal Index is presented. The designed Bayesian Network consists of 17 nodes, hierarchically organized in 4 layers. The first layer is initialized with the season and the physiographic region information. In the second layer, the first-order indexes, depending on raw data, of physiographic regions are computed. The third layer estimates the second-order indexes of the analyzed physiographic regions. In the fourth layer, the global Sustainable Coastal Index is inferred. Processed data refers to 13 physiographic regions in the Province of Trapani, western Sicily, Italy. Gathered data describes the environmental information, the agricultural, fisheries, and economical behaviors of the local population and land. The Bayesian Network was trained and tested using a real dataset acquired between 2000 and 2006. The developed system presents interesting results.
Źródło:: Journal of Telecommunications and Information Technology; 2013, 4; 5-15
1509-4553
1899-8852
Pojawia się w:: Journal of Telecommunications and Information Technology
Dostawca treści:: Biblioteka Nauki

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