Mining and Tailings Dam Detection in Satellite Imagery Using Deep Learning.

This work explores the combination of free cloud computing, free open-source software, and deep learning methods to analyze a real, large-scale problem: the automatic country-wide identification and classification of surface mines and mining tailings dams in Brazil. Locations of officially registered mines and dams were obtained from the Brazilian government open data resource. Multispectral Sentinel-2 satellite imagery, obtained and processed at the Google Earth Engine platform, was used to train and test deep neural networks using the TensorFlow 2 application programming interface (API) and Google Colaboratory (Colab) platform.

Learning Methods for Dynamic Topic Modeling in Automated Behavior Analysis.

Semisupervised and unsupervised systems provide operators with invaluable support and can tremendously reduce the operators' load. In the light of the necessity to process large volumes of video data and provide autonomous decisions, this paper proposes new learning algorithms for activity analysis in video. The activities and behaviors are described by a dynamic topic model.

Support through patient internet-communities: Lived experience of Russian in vitro fertilization patients.

The article is concerned with the life experiences of infertile women going through infertility treatment and their need for social and psychological support, which they try to find in their immediate social environment. The Internet has become one place where everyone can find "people like oneself." The best support is received from these people who are in the same life situation and are able and willing to share their lived experiences with each other.