The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In order to predict the epidemic outbreak, this paper presented a wavelet neural network method. The wavelet neural network designing theory framework was also provided: wavelet function is used as activation function in recessive layer, the connection weights are decided by wavelet function coefficients. Finally, the presented method efficiency and feasibility were discussed by a simulation example,...
Considering the epidemic data in a long duration as non-stationary time series, we present a novel comprehensive model free infection prediction scheme with combining both wavelet multi-resolution analysis and wavelet neural network. The performance of the new approach is illustrated by an application to predicting the US CDC (03-04) %ILI data, simulation result shows our method is valid and has high...
Carboxypeptidase M (CPM) was discovered as a membrane-bound B-type carboxypeptidase which is widely distributed in a variety of tissues and cells. The amino acid sequence of CPM indicated that the C-terminal hydrophobic region might be a signal for membrane attachment via a glycosylphosphatidylinositol (GPI) anchor. This was demonstrated by [ 3 H]ethanolamine labeling of Madin Darby canine...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.