Spatial crime distribution and prediction for sporting events using social media.

Sporting events attract high volumes of people, which in turn leads to increased use of social media. In addition, research shows that sporting events may trigger violent behavior that can lead to crime. This study analyses the spatial relationships between crime occurrences, demographic, socio-economic and environmental variables, together with geo-located Twitter messages and their 'violent' subsets.

Duodenal Biopsies Classification and Understanding using Convolutional Neural Networks.

Environmental Enteropathy (EE) and celiac disease (CD) are gastrointestinal conditions that adversely impact the growth of children. EE is prevalent in low- and middle-income countries, whereas as CD is prevalent worldwide. The histologic appearance of duodenal EE biopsies significantly overlaps with celiac enteropathy.

Assessment of Machine Learning Detection of Environmental Enteropathy and Celiac Disease in Children.

Importance: Duodenal biopsies from children with enteropathies associated with undernutrition, such as environmental enteropathy (EE) and celiac disease (CD), display significant histopathological overlap.

Objective: To develop a convolutional neural network (CNN) to enhance the detection of pathologic morphological features in diseased vs healthy duodenal tissue.

Design, Setting, And Participants: In this prospective diagnostic study, a CNN consisting of 4 convolutions, 1 fully connected layer, and 1 softmax layer was trained on duodenal biopsy images.