Abstract: The present disclosure relates to a method and system for multi-source algae image target detection, and relates to the field of monitoring of algal bloom events in fresh water. The method includes first crawling images of algae of a selected species by using a built automated algae crawling tool, where the images include all formats; classifying and labeling algae in the algae images, and forming a source domain dataset by using all the classified and labeled algae images; performing transfer learning by using a faster recurrent revolutional neural network (Faster RCNN) with reference to a target domain dataset, to obtain a multi-source algae image target detection model; and finally performing identification and classification by using the multi-source algae image target detection model.

Abstract: Disclosed are methods for using guanfacine, an analog or derivative of guanfacine, or a pharmaceutically acceptable salt thereof, to reduce the virulence of a bacterial pathogen. When treating a patient, the method generally involves administering to the patient a therapeutically effective dose of guanfacine, an analog or derivative of guanfacine, or a pharmaceutically acceptable salt thereof. An alternative method involves contacting the bacterial pathogen with guanfacine, an analog or derivative of guanfacine, or a pharmaceutically acceptable salt thereof.

Abstract: Disclosed are methods for using guanfacine, an analog or derivative of guanfacine, or a pharmaceutically acceptable salt thereof, to reduce the virulence of a bacterial pathogen. When treating a patient, the method generally involves administering to the patient a therapeutically effective dose of guanfacine, an analog or derivative of guanfacine, or a pharmaceutically acceptable salt thereof. An alternative method involves contacting the bacterial pathogen with guanfacine, an analog or derivative of guanfacine, or a pharmaceutically acceptable salt thereof.