The following research was awarded (Best Research Award) at International Symposium for Food and Environmental Virology 2024 (Shimadzu Tokyo Innovation Plaza, June 9-14, 2024). Prediction of COVID-19 cases based on various explanatory variables using machine learning methods Takehito Iizuka, Wang Luyao, Zhu Yifan, Wakana Oishi, Daisuke Sano
Marcus Sanchez and Katayoun Amirfard were honored (WET Excellent Presentation Award) at the Water and Environment Technology Conference 2024 (July 20-21, 2024, Okayama University). Congratulations!!! Time-series forecasting of COVID-19 case number based on amplicon-based diversity indices from wastewater Marcus Joseph Sanchez, Yilei Wang, Yubing Li, Luyao Wang, Daisuke Sano Impact of ZnO powder on biofilm formation and conjugation frequency of…