Water molecules flip their orientation before splitting into hydrogen and oxygen. These acrobatics require significant energy, leading to the reaction’s inefficiency. Researchers quantified the precise energy costs of flipping. Efficiency is significantly affected by the water’s pH levels.

Can public health experts make a forecast for the flu or another infectious disease as accurately as a computational model? 

Thomas McAndrew, assistant professor, Department of Biostatistics and Health Data Science in Lehigh University’s College of Health, has received an award from the National Science Foundation (NSF) to research and develop a novel approach to forecasting. His project, “IHBEM: Enhancing Influenza Forecasting Through an Integrated Platform for User-Generated Temporal Forecasts,” will help improve evidence-based public health decision making for infectious diseases.