Life Sciences Commons^™

Molecular And Behavioral Impacts Of Treated Wastewater Effluent On Fish, Peter Schumann

Theses and Dissertations

Currently, most studies that focus on the sublethal impacts of contaminants of emerging concern (CECs) such as pharmaceuticals utilize a single-compound approach, whereas these compounds always occur as complex mixtures in the environment. Wastewater treatment plants (WWTPs) are a major contributor to the formation of these mixtures as current treatment technologies inadequately remove many chemical pollutants. There is a paucity of knowledge on the neurological impacts due to exposure to complex CEC mixtures resulting from the discharge of treated WWTP effluent into aquatic environments. This knowledge gap leaves incomplete assessments of the hazards and risks from exposure to treated effluent …

Determining The Impacts Of Environmental Contaminants To Zebra Mussels Using Genetic Biomarkers, Nicklaus James Neureuther

Theses and Dissertations

ABSTRACT

DETERMINING THE IMPACTS OF ENVIRONMENTAL CONTAMINANTS TO ZEBRA MUSSELS USING GENETIC BIOMARKERS

by

Nicklaus James Neureuther

The University of Wisconsin-Milwaukee, 2016

Under the Supervision of Professor Rebecca Klaper, PhD

Persistent legacy contaminants and emerging chemicals of concern continue to be a threat to the function and health in the Great Lakes Areas of Concern (AOCs). While chemical monitoring programs traditionally sample water and sediment, these studies can only provide information of the type and level of contamination within an (AOC). This being said, information on the biological impacts to the biota are needed to measure impairments of chemical exposure, …

Alcohol Biomarkers As Predictive Factors Of Rearrest In High Risk Repeat Offense Drunk Drivers, Brian Charles Kay

Theses and Dissertations

Alcohol biomarkers, or naturally occurring molecules which occur in response to one's alcohol consumption, are proving to be a value tool in objectively monitoring one's alcohol consumption. Coupling this assessment tool, with advances in computing power, new and powerful predictions are becoming evermore possible. In this retrospective study, data was first collected that consisted of a sample of 249 drivers convicted of driving under the influence charge and who monitored over the course of a year by biomarker blood tests. This data was then analyzed using machine learning methods. TwoStep cluster analysis showed distinct drinking groups within the drivers who …