Browsing Auburn Theses and Dissertations by Title
Now showing items 1718-1737 of 9934
CYP3A4 inhibition and induction studies coupled to parallel artificial membrane permeability assay (PAMPA) for improved prediction of in-vitro botanical-drug interactions
(2019-07-10)
The consumption of botanical dietary supplements (BDS) is a common practice among the US population. However, the potential for botanical-drug interactions exists, and their mechanisms have not been thoroughly studied. ...
Cytochrome P450s and Their Roles in Insecticide Resistance in the Mosquito, Culex quinquefasciatus
(2013-07-24)
The southern house mosquito, Culex quinquefasciatus, is an important disease vector of West Nile virus (WNV), Saint Louis encephalitis virus (SLEV), and filariasis. Insecticides are the most important component in the ...
Cytokinin Response Factor 4: A Role in Development During Cold Stress in Arabidopsis thaliana
(2012-07-20)
Cold stress is a major cause of crop loss annually in the United States such that a detailed study
of the mechanisms and genes behind these stresses are essential for improvement of crop plants.
This thesis investigated ...
CZTS (Cu2ZnSnS4) photocathode for solar energy conversion and storage
(2019-04-23)
Sunlight provides abundant, renewable energy on earth’s surface. Photoelectrochemical photovoltaic cells (PEPC) are one of the most convenient ways to capture this solar energy and convert into electricity. Cu2ZnSnS4 (CZTS) ...
Damage Prediction of Lead Free Ball Grid Array Packages Under Shock and Drop Environment
(2007-05-15)
The fatigue and damage of solder joints and also the potential for interface failure within BGA packages are caused by thermal cycling. In case of portable electronic products, fatigue is caused by repetitive drop and shock ...
The Dance: a fluid model of street design
(2014-04-29)
During the early twentieth century, the American city experienced changes to its infrastructure that are still visible today. These changes were a result of the city beautiful movement. Some of the changes to the city ...
Data Analytics Methods for Supply Chain Risk Management with Applications in Transportation and Manufacturing Safety
(2021-12-06)
Supply chain management aims to understand and explain how organizations should collaborate within a chain to improve the overall competitiveness of the chain and smooth the flow of the money, material, and information ...
Data and Information Flow Improvements in Manufacturing Systems
(2022-11-27)
The fourth industrial revolution, or Industry 4.0, is making its mark with a wave of efforts to digitize and digitalize data and information in manufacturing systems. Global efforts are being made to accelerate the adoption ...
Data Center Specific Thermal and Energy Saving Techniques
(2015-07-23)
Data centers are ever increasing as we become more reliant on web based transactions. The benefits of such massive computing are obvious by the speed and ease we can get most media or information. A challenge is that new ...
Data Collection Methods for the Voice Range Profile: A Systematic Review
(2020-02-04)
Purpose: To assess data collection variability in the Voice Range Profile (VRP) across clinicians and researchers, a systematic review was conducted to evaluate the extent of variability of specific data collection points ...
Data Driven Approaches for Nonlinear System Identification and Control of Hardware in the Loop Systems
(2025-04-25)
System identification can play in important role in the engineering design process. Generating a high-fidelity model of a system can lead to improved performance and reduced costs. There are many ways to create these models ...
Data Driven Decision Making for School Improvement Planning: Toward a Model and Process for Distributive Leadership and Shared Decision Making
(2015-05-08)
Many school leaders may not have adequate decision-making tools or skills to respond to the reporting requirements of accountability mandates such as No Child Left Behind (NCLB) and Race To the Top (RTTT) (Flowers & ...
A Data Driven Framework to Identify the Critical Variables, Visualize Their Conditional Relations and Predict the Outcomes of U.S. Heart Transplants
(2016-08-03)
Predicting the survival of heart transplant patients is an important, yet challenging problem since it plays a crucial role in understanding the matching procedure between a donor and a recipient. Recent studies have shown ...
A Data Driven Framework to Predict the Fatigue among Manufacturing Workers Using Wearable Sensors
(2018-07-25)
Worker fatigue has been known as a significant phenomenon in the manufacturing occupations. In these occupations, physical fatigue is a challenging ergonomic/safety issue as it lowers productivity and boosts the incidence ...
Data Driven Methods for Chemical Process and Product Synthesis and Design
(2018-11-20)
Data driven methods for chemical process and product synthesis have become integrated in all aspects of design. The responsibly of the academic community should be to provide users with guidance when managing the ...
A Data Element Mapping and Analysis (DEMA) Approach for Implementing a Complete Digital Thread
(2023-08-04)
In the age of digitalization and the fourth industrial revolution, the concept of the Digital
Thread and the Model-Based Enterprise has captured both the attention and resources of countless establishments. However, despite ...
Data Extraction from Servers by the Internet Robot
(2009-07-15)
Data extraction from internet is a way to download and extract the required data automatically from web servers. In this thesis, we present a method called the Internet Robot to extract the data directly from a web server ...
Data Mining Medication Administration Incident Data to Identify Opportunities for Improving Patient Safety
(2009-12-15)
This research analyzed historical data related to medication administration errors at a 340 bed regional medical center. The objective was to determine if data mining techniques could identify relationships within the ...
Data Science with A Focus on Spatial Domain
(2020-11-19)
Data science focuses on solving data-driven tasks using a variety of techniques, including but not limited to machine learning, neural networks, mathematics, and statistics. In this article, I work on two tasks in the scope ...
Data Usage Optimization for Cost Estimating in Asphalt Paving Projects Using a Cost Indexing System
(2018-04-30)
During the last decade, the transportation construction industry has seen an increase in the implementation of historical bid-based cost estimating practices by various state transportation agencies (STAs). The American ...