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Influence diagram is an effective mathematical representation of decision situations, in the traditional influence diagrams, the dependencies between nodes of uncertainty and the value table of value nodes are constructed through probability models, they get widely applied in intelligent decision analysis. But information system (IS) in our lives are very complicated, such as grey information data,...
In the past decade, the network science community has witnessed huge advances in a wide range of domains including threshold theory, prediction and control of epidemic dynamics, etc. However, the understanding of epidemic spatial spread on metapopulation networks achieved so far have opened the door to new questions and problems, and a number of major challenges have prompted the research activity...
Realization of accurate real-time predictions of infectious diseases is an important but challenging task, because spatial transmission among networked populations is stochastic and time-varying. In this paper, we propose a new algorithm to predict the susceptible subpopulations which will be infected in the next time step at the early stage of an epidemic on a metapopulation network by using data...
In this report, a new mouse model of Eperythrozoon infection was established to confirm inter-species infection, and the haematological and immunologic characteristics were studied. The infection was confirmed in mouse by traditional diagnosis combined with PCR and transmission electron microscope (EM) detection. Haematological data including total red cell count, erythrocrit, haemoglobin levels,...
To investigate the changes of immuneparameter induced by the infection of Streptococcus suis serotype 2 (SS2) in mini-swine model. The pigs were inoculated with 1 times 107 CFU ml-1/kg of two SS2 strains (ZY05719 and HA9801). Typical clinical symptoms and pathological features were confirmed after infection. Bacterial content in certain organs and changes of white blood cell counts were measured;...
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