This article is from the 26th ACM Conference on Innovation and Technology in Computer Science Education and discusses the design, effectiveness, and curricular impacts of an introductory data science course focused on practical programming skills and allowing students to concurrently complete the course in Python, R, or MATLAB. Students indicated a preference for the multi-language course design and the course became the recommended first programming course for a newly developed and approved undergraduate data science majors.

This article uses three common open-access satellite image datasets (Sentinel-2B, Landsat-8, and Gaofen-6) for extracting information on rocky desertification in a typical karst region (Guangnan County, Yunnan) of southwest China, using three machine-learning algorithms implemented in the Python programming language: random forest (RF), bagged decision tree (BDT), and extremely randomized trees (ERT).

This article reports on a study where 2D TMDs (MoS₂ and WS₂) and the 3D allotrope of carbon and graphite were incorporated into acrylonitrile butadiene styrene (ABS) and polyethylene terephthalate glycol (PETG) matrices in order to form polymer matrix composites (PMCs). The multipronged analysis described in this study was motivated by the purpose to fuse together topics of low-cost, additive manufacturing with 2D layered materials, and studying their ensuing mechanical and tribological properties.

Article reports observations of two Subarctic North Pacific puffin species in the North Atlantic near the coast of north-west Greenland.