Our work has been accepted by Journal of Visualized Experiments

Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health. In this study, the prediction accuracy is improved by sign-constrained linear regression, a new statistical approach. Sign-constrained linear regression for prediction of microbe concentration based on water quality datasets Tsuyoshi Kato, Ayano Kobayashi, Wakana Oishi, Syun-suke Kadoya, Satoshi Okabe, Naoya…

New article of Syun-suke Kadoya (PhD student) has been published in ESWRT. OPEN ACCESS!!! Regularized Regression Analysis for the Prediction of Virus Inactivation Efficiency by Chloramine Disinfection Syun-suke Kadoya, Osamu Nishimura, Hiroyuki Kato and Daisuke Sano Environmental Science: Water Research & Technology, accepted.    

New article of Yifan Zhu (PhD student) has been published in Water Research. OPEN ACCESS!!! Virus removal by membrane bioreactors: A review of mechanism investigation and modeling efforts Yifan Zhu, Rong Chen, Yu-You Li, Daisuke Sano Water Research Backgrounds: Waterborne enteric viruses in wastewater pose a serious threat to public health, to keep up with the increasing demand for water…