Wade MJ - Search Results

1

Hybrid modelling of water resource recovery facilities: status and opportunities.

Schneider MY, Quaghebeur W, Borzooei S, Froemelt A, Li F, Saagi R, Wade MJ, Zhu JJ, Torfs E. Schneider MY, et al. Among authors: wade mj. Water Sci Technol. 2022 May;85(9):2503-2524. doi: 10.2166/wst.2022.115. Water Sci Technol. 2022. PMID: 35576250

2

Making water smart.

Wade MJ, Steyer JP, Garcia MVR. Wade MJ, et al. Water Sci Technol. 2020 Dec;82(12):v-vii. doi: 10.2166/wst.2020.581. Water Sci Technol. 2020. PMID: 33341794 No abstract available.

3

Bifurcation Analysis of an Impulsive System Describing Partial Nitritation and Anammox in a Hybrid Reactor.

Wade MJ, Wolkowicz GSK. Wade MJ, et al. Environ Sci Technol. 2021 Feb 2;55(3):2099-2109. doi: 10.1021/acs.est.0c06275. Epub 2021 Jan 13. Environ Sci Technol. 2021. PMID: 33440117

4

Medium shapes the microbial community of water filters with implications for effluent quality.

Vignola M, Werner D, Wade MJ, Meynet P, Davenport RJ. Vignola M, et al. Among authors: wade mj. Water Res. 2018 Feb 1;129:499-508. doi: 10.1016/j.watres.2017.09.042. Epub 2017 Sep 22. Water Res. 2018. PMID: 29195186 Free article.

5

Assessment of aeration control strategies for biofilm-based partial nitritation/anammox systems.

Schraa O, Rosenthal A, Wade MJ, Rieger L, Miletić I, Alex J. Schraa O, et al. Among authors: wade mj. Water Sci Technol. 2020 Apr;81(8):1757-1765. doi: 10.2166/wst.2020.174. Water Sci Technol. 2020. PMID: 32644968

6

City-wide wastewater genomic surveillance through the successive emergence of SARS-CoV-2 Alpha and Delta variants.

Brunner FS, Brown MR, Bassano I, Denise H, Khalifa MS, Wade MJ, van Aerle R, Kevill JL, Jones DL, Farkas K, Jeffries AR; COVID-19 Genomics UK (COG-UK) Consortium; Cairns E, Wierzbicki C, Paterson S. Brunner FS, et al. Among authors: wade mj. Water Res. 2022 Nov 1;226:119306. doi: 10.1016/j.watres.2022.119306. Epub 2022 Oct 28. Water Res. 2022. PMID: 36369689 Free PMC article.

7

Incorporating microbial community data with machine learning techniques to predict feed substrates in microbial fuel cells.

Cai W, Lesnik KL, Wade MJ, Heidrich ES, Wang Y, Liu H. Cai W, et al. Among authors: wade mj. Biosens Bioelectron. 2019 May 15;133:64-71. doi: 10.1016/j.bios.2019.03.021. Epub 2019 Mar 13. Biosens Bioelectron. 2019. PMID: 30909014

8

Research needs for optimising wastewater-based epidemiology monitoring for public health protection.

Robins K, Leonard AFC, Farkas K, Graham DW, Jones DL, Kasprzyk-Hordern B, Bunce JT, Grimsley JMS, Wade MJ, Zealand AM, McIntyre-Nolan S. Robins K, et al. Among authors: wade mj. J Water Health. 2022 Sep;20(9):1284-1313. doi: 10.2166/wh.2022.026. J Water Health. 2022. PMID: 36170187

9

Temperature, inocula and substrate: Contrasting electroactive consortia, diversity and performance in microbial fuel cells.

Heidrich ES, Dolfing J, Wade MJ, Sloan WT, Quince C, Curtis TP. Heidrich ES, et al. Among authors: wade mj. Bioelectrochemistry. 2018 Feb;119:43-50. doi: 10.1016/j.bioelechem.2017.07.006. Epub 2017 Jul 22. Bioelectrochemistry. 2018. PMID: 28910698 Free article.

10

Thermodynamic modelling of synthetic communities predicts minimum free energy requirements for sulfate reduction and methanogenesis.

Delattre H, Chen J, Wade MJ, Soyer OS. Delattre H, et al. Among authors: wade mj. J R Soc Interface. 2020 May;17(166):20200053. doi: 10.1098/rsif.2020.0053. Epub 2020 May 6. J R Soc Interface. 2020. PMID: 32370691 Free PMC article.

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