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.

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A review paper by Amarasiri and Sano has been accepted by Viruses.

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The 2nd Symposium for Human and Environmental Security

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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.