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
Harnessing Sunlight to Fuel the Future through Covalent Organic Frameworks Promoted by Shoolini University
Best of Both Worlds: Updating the Chemical Process to Remove Organic Pollutants from Water Promoted by Shoolini University
Green and Clean: New Eco-friendly and Sustainable Algae-Based Way to Fight Water Pollution Promoted by Shoolini University
Ray of Sunshine: New Model Better Predicts Solar Cell Output Power in All Weather Promoted by Shoolini University
Harnessing the potential of AI and machine learning to solve global challenges Promoted by Qassim University
