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Full-Text Articles in Fresh Water Studies
Development Of A Distributed Artificial Neural Network For Hydrologic Modeling, Rebecca Logsdon
Development Of A Distributed Artificial Neural Network For Hydrologic Modeling, Rebecca Logsdon
Inquiry: The University of Arkansas Undergraduate Research Journal
Hydrological models are used to represent the rainfall-runoff and pollutant transport mechanisms within watersheds. Accurate representation of these dynamic and complex natural processes within a watershed is an important step in managing and protecting a watershed Artificial neural network (ANN) models are often used in hydrologic modeling. Typical ANN models are trained to use lumped data. However, watershed characteristics used as inputs in hydrological modeling are spatially and often temporally dynamic. Therefore, a lumped model does not have the ability to represent changes in spatial dynamics of a watershed. Therefore, the purpose of this study was to develop and test …
Carbon Nanotube Cluster Based Micro-Fluidic System For Bacteria Capture, Concentration, And Separation, Chris Nelson
Carbon Nanotube Cluster Based Micro-Fluidic System For Bacteria Capture, Concentration, And Separation, Chris Nelson
Inquiry: The University of Arkansas Undergraduate Research Journal
Disease-causing pathogens continue presenting enormous global health problems, especially due to their easy transmittance to people via water supply systems. The detection, filtration, and purification of bacteria-contaminated water samples are complex activities, ones subject to considerable error. Here we present a new and highly effective micro-fluidic system with carbon nanotube (CNT) clusters for effective and efficient detection, filtration, and purification of bacteria-contaminated medium. The developed system is based upon two unique properties of CNT clusters: high bacterial affinity and magnetic susceptibility. The CNTs 'high affinity to bacteria cells makes them a key candidate for the bacteria adsorption. The magnetic susceptibility …