Browsing by Title
Now showing items 18420-18439 of 28048
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Quantification and Characterization of Particulate Matter Generated from Unpaved Roads in the Oil Development Area of Western North Dakota
(North Dakota State University, 2016)Western North Dakota, USA is experiencing particulate matter (PM) emissions, especially coarse (PM10) and fine (PM2.5), due to heavy traffic on unpaved roads from rapid oil development. Particulate matters may affect human ... -
Quantification of Disease Expression Conferred by Three Host Gene-Necrotrophic Effector Interactions in the Wheat-Parastagonospora Nodorum Pathosystem
(North Dakota State University, 2017)Septoria nodorum blotch is a wheat foliar and glume disease caused by Parastagonospora nodorum, a necrotrophic fungal pathogen. Snn1-SnTox1, Snn3-B1-SnTox3, and Tsn1-SnToxA are three important interactions between wheat ... -
Quantification of Gentrification
(North Dakota State University, 2017)This research aims to provide a concise way to quantify gentrification for the purpose of application in the design professions to help mitigate and reduce negative effects seen with gentrification. First, by researching ... -
Quantification of the Influences of Subsurface Uncertainties on Seismic Behavior of Shallow Foundations
(North Dakota State University, 2011)The properties of geomaterials are uncertain. These uncertainties not only affect the dynamic behavior of the geomaterials, but also significantly influence the complex nonlinear dynamics between the soil, foundation, ... -
Quantifying Relationships Between Two Time Series Data Sets
(North Dakota State University, 2016)One of the popular methods for quantifying the relationship between two time series data sets is canonical correlations; however, it is linear and cannot accommodate more complex scenarios, such as time series data for ... -
Quantifying Seasonal Variation in Physiological Condition of Adult Franklin's Gull (Luecophaeus Pipixcan) during Nesting
(North Dakota State University, 2011)Understanding seasonal variation in adult physiological condition is important for developing hypotheses on how nest initiation, adult condition, chick development and recruitment are related in Franklin's gull and other ... -
Quantitative Analysis for Measuring Lower Levels of Fusarium Mycotoxins in Wheat and Barley Using High-Resolution Mass Spectrometry
(North Dakota State University, 2020)This project involved the application of Quadrupole Time of Flight (QTOF) technology in quantitating the low concentrations of multiple Fusarium mycotoxins in barley and wheat, also focused on simplified sample extraction ... -
A Quantitative Cost Model of HACCP Implementation
(North Dakota State University, 2011)Foodbome illness is an important public health problem in the United States. Hazard Analysis Critical Control Point (HACCP) is widely acknowledged as an effective method to ensure product quality and control foodbome ... -
Quantitative Genetic Analysis of 16 Maize Populations Adapted to the Northern U.S. Corn Belt
(North Dakota State University, 2013)Genetic diversity is essential for genome sequencing and a key contributor to increase frequency of favorable alleles for maize improvement. The objectives of this study were to determine the genetic components, assess the ... -
Quantitative Genetics of Drought Resistance in Early Maturing Maize (Zea Mays L)
(North Dakota State University, 2015)Drought stress is paramount in limiting worldwide maize (Zea mays L.) production and productivity. In addition, drought has limited expansion of maize production to marginal conditions in areas including western North ... -
QUARRY INQUIRIES : resistance in material, method and measure
(North Dakota State University, 2015)How does the methodology for constructing site information influence architectural design? This thesis is an investigative proposal for an Environmental and Cultural Interpretation Center for Quarry Park and Nature Reserve. ... -
Quasi-empirical and Spatio-Temporal Vulnerability Modeling of Environmental Risks Posed to a Watershed
(North Dakota State University, 2017)Water quality assessment is crucial in investigating impairment within agricultural watersheds. Seasonal and spatial variations on land can directly affect the adjoining riverine systems. Studies have revealed that ... -
Queen Anne's Gate
(North Dakota State University, 2010-09-06) -
Queen Anne's Gate
(North Dakota State University, 2010-09-06) -
Queen Margaret's Medical College
(North Dakota State University, 2011-02-11)