Our work with regards to the prediction of pathogen concentration in water has been accepted by Journal of Water and Health

Academic paper

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 Ohta, Mohan Amarasiri, Daisuke Sano
Journal of Water and Health, accepted.

Previous Post
A review paper by Amarasiri and Sano has been accepted by Viruses.
Next Post
Special lecture presented by Sital Uprety from University of Illinois, Urbana Champaign

Related Articles

Academic paper

New article of Wakana Oishi (PhD student) has been published in JEMA.

New article of Wakana Oishi (PhD student) has been published in JEMA. Inactivation kinetics modeling of Escherichia coli in concentrated urine for implementing predictive environmental microbiology in sanitation safety planning Wakana Oishi, Ikuo Kato, Nowaki Hijikata, Ken Ushijima, Ryusei Ito, Naoyuki Funamizu, Osamu Nishimura, Daisuke Sano Journal of Environmental Management, August 2020, 268, 110672. ABSTRACT Urine concentration (condensation) leads to…
Academic paper

Our work has been accepted by Water Science and Technology

The following study was accepted by Water Science and Technology. Specific interactions of rotavirus HAL1166 with Enterobacter cloacae SENG-6 and their contribution on rotavirus HAL1166 removal Mohan Amarasiri, Hiroki Kawai, Masaaki Kitajima, Satoshi Okabe, Daisuke Sano Water Science and Technology, accepted.