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
Breakthrough in adapting perovskite solar cells for renewable energy Promoted by City University of Hong Kong
New cooling ceramic enhances energy efficiency in construction Promoted by City University of Hong Kong
Using remote sensing technology to monitor climate change in Saudi Arabia Promoted by Qassim University
Bioplastics are vital in efforts to fight ‘wicked problem’ of plastic pollution Promoted by The University of Queensland
