An approach to rapid processing of camera trap images with minimal human input.

Camera traps have become an extensively utilized tool in ecological research, but the manual processing of images created by a network of camera traps rapidly becomes an overwhelming task, even for small camera trap studies.We used transfer learning to create convolutional neural network (CNN) models for identification and classification. By utilizing a small dataset with an average of 275 labeled images per species class, the model was able to distinguish between species and remove false triggers.

Factors Associated with Reported Colorectal Cancer Screening Among Lao-American Immigrants in Minnesota.

Colorectal Cancer (CRC) is common in Lao Americans, but screening is suboptimal. To investigate CRC screening rates of Lao Americans in Minnesota, and how predisposing characteristics, enabling resources, and perceived need are associated with screening. We conducted a convenience-sample cross-sectional survey of 50-75-year-old Lao Americans, using step-wise multivariate logistic regression to identify factors associated with ever being screened.