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Microbiome|April 4, 2018
The active microbial community more accurately reflects the anaerobic digestion process: 16S rRNA (gene) sequencing as a predictive toolJo De Vrieze, Ameet J Pinto, William T Sloan, et al.
Anesthesia and Analgesia|August 1, 1986
Somatosensory evoked potential quantification of ulnar nerve blockadeH T Benzon, J R Toleikis, C Shanks, et al.
ISME Communications|August 29, 2023
Competitive and substrate limited environments drive metabolic heterogeneity for comammox NitrospiraEloi Martinez-Rabert, Cindy J Smith, William T Sloan, et al.
The Journal of Reproductive Medicine|January 1, 1995
Reduction in the rate of cesarean birth with active management of labor and intermediate-dose oxytocinL P Gerhardstein, M T Allswede, C T Sloan, et al.
Microbial Ecology|December 14, 2006
Modeling taxa-abundance distributions in microbial communities using environmental sequence dataWilliam T Sloan, Stephen Woodcock, Mary Lunn, et al.
Plos One|March 25, 2015
Probabilistic models to describe the dynamics of migrating microbial communitiesJoanna L Schroeder, Mary Lunn, Ameet J Pinto, et al.
Environmental Microbiology|December 18, 2012
Modelling the effects of dispersal mechanisms and hydrodynamic regimes upon the structure of microbial communities within fluvial biofilmsStephen Woodcock, Katharina Besemer, Tom J Battin, et al.
Scientific Reports|October 6, 2025
A machine learning model guided by physical principles for biofilter performance predictionUzma, Fabien Cholet, Dominic Quinn, et al.
Ecology Letters|June 27, 2006
Taxa-area relationships for microbes: the unsampled and the unseenStephen Woodcock, Thomas P Curtis, Ian M Head, et al.
Npj Materials Sustainability|October 10, 2025
Machine learning for sustainable organic waste treatment: a critical reviewRohit Gupta, Zahra Hajabdollahi Ouderji, Uzma, et al.
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