Data sleuths’ work is thankless. They must get credit for retractions The scientific record should reflect what actually happened, not a sanitised narrative that leaves out the messy bits, say Ivan Oransky and David B. Allison By Ivan Oransky 15 January
Detecting Parkinson’s Disease using Deep Learning Techniques from Smart Phone Data Promoted by Khalifa University
Digital system of water resources management in the Ob-Irtysh river basin Promoted by Peter the Great St Petersburg Polytechnic University
Development of a family of city buses based on a universal passenger platform Promoted by Peter the Great St Petersburg Polytechnic University
Six types of modern student reflect how universities can build for the future Promoted by PA Consulting
