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DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further in…
Escape if you can! A radiological event has occurred and you have to find your way out. Pick up items along the way that may help or harm you. When you've accumulate too much radiation it's game over.
Python based machine-learning scripts that generate real-time predictions of the water quality on the shores of the larger Montreal island for the water activities aficionados The predictions are displayed online interactively on an OpenShift server built with the LAMP stack.
[IEEE ICASSP 2023] "Robust Subspace Tracking with Contamination Mitigation via Alpha-Divergence". In 48th IEEE International Conference on Acoustics, Speech, & Signal Processing, 2023.
Water quality monitoring in river for pollution control applicating continuous conductivity monitoring. This is for evaluation of pollution level and its fluctuation as BOD5 converting by Conductivity value utilizing Arduino Nano.
R codes developed for East Chicago PCB soil paper. Codes describe how to create the maps and figures (ECSoilFigures.R), as well as all the statistical analyses (ECSoilStatTest.R) performed in the paper. All data are available and download from Pangaea. This is part of Project 6 of the ISRP (https://iowasuperfund.uiowa.edu/)