Digital Commons Network^™

Decomposition, Rose Postma

Pro Rege

No abstract provided.

Dordt In 3d, Vaughn Donahue

Pro Rege

No abstract provided.

Clogged, Matt Drissell

Pro Rege

No abstract provided.

Porcelain Clay Bowls And Cup, Jake Van Wyk

Pro Rege

No abstract provided.

Ptl, James C. Schaap

Pro Rege

No abstract provided.

Summaries Of Mini-Grant Awards, 2018-2021, University Of Dayton. Vocation Implementation Team

Historical Context of Vocation at UD

This document describes the projects funded by grants of up to $1,000 from 2018 to 2021 to support the design and development of programs, activities, and events inside and beyond the classroom that offer students opportunities to explore, discern, and act on their vocations. Funding came from a NetVUE Vocation across the Academy grant with support from the Council of Independent Colleges and Lilly Endowment.

Vocation may be defined as “Answering a call to discover one’s unique gifts and employ them in service for the common good in ways that are personally satisfying and bring meaning to one’s life” ("The …

Use Patterns And Influencing Factors Of Irrigation Best Management Practices In The Lower Mississippi River Basin, Merri E. Day

Graduate Theses and Dissertations

This study uses the 2016 Irrigation Survey from Arkansas, Louisiana, and Mississippi to document the use of irrigation best management practices (IBMPs), analyze use patterns, and use quantitative methods to determine factors that influence producers’ decisions regarding IBMPs. IBMPs included in the survey can be grouped as: field management practices (zero-grade leveling, precision-grade leveling, end blocking, warped surface, and deep tillage), water flow control practices (computerized pipe-hole selection, multiple-inlet irrigation, surge irrigation, alternate wetting and drying, cutback irrigation, flow meters, and pump timers), water recovery/storage practices (tail-water recovery system and on-farm storage reservoir), and advanced irrigation scheduling practices (soil moisture …

Just "Dropped": Nike's Latest Trademark Foreshadows The Demise Of The Knockoff Sneaker Industry And Limits Consumer Choice, Claudia Perez

North Carolina Journal of Law & Technology

No abstract provided.

Tissue Engineering And The Effect Of Volumetric Muscle Loss On Muscle Performance, Alex Pemberton

Biomedical Engineering Undergraduate Honors Theses

Trauma, for so many people, creates life altering injuries. One of the major injuries that results from trauma is volumetric muscle loss (VML), which is the loss of muscle tissue that cannot be naturally regenerated and results in chronic loss of function. When a small amount of damage is done to a muscle, but the underlying extracellular matrix of the cell is still intact, the muscle can regenerate much of its volume and function. If the injury damages the extracellular matrix, the injury site is instead filled with scar tissue, which cannot regenerate muscle mass or function. Seen widely in …

Lawyering 'Twisties': Naming And Untangling Performance Anxiety, Heidi K. Brown

Faculty Scholarship

No abstract provided.

Bargaining For Integration, Shirley Lin

Faculty Scholarship

No abstract provided.

Integrating Multiple Survey Techniques To Document A Shifting Bat Community In The Wake Of White-Nose Syndrome, D. Scott Reynolds, Kevin Shoemaker, Susi Von Oettingen, Stephen Najjar, Jacques P. Veilleux, Paul R. Moosman Jr

KIP Articles

The long-term study of bat communities often depends on a diverse set of sampling methodologies that are chosen based on the species or habitat management priorities of the research project. Integrating the data from a diverse set of methodologies (such as acoustic monitoring and mist net sampling) would improve our ability to characterize changes in community structure or composition over time, such as one would expect following an emergent infectious disease such as white-nose syndrome. We developed a Bayesian state-space model to integrate these disparate data into a common currency (relative abundance). We collected both acoustic monitoring and mist net …

Using Iphone Significant Location Data To Improve Air Pollution Exposure Estimation, Elizabeth Eastman

Electronic Theses and Dissertations, 2020-2023

An accurate estimation of human exposure to ambient air pollution is crucial for air pollution health studies. Time-activity patterns may introduce substantial uncertainties in exposure estimation. As smartphones are becoming increasingly popular and their ownership is becoming ubiquitous in the US. Virtually all smartphones can collect location data, and such data is continuously somewhere. Therefore, it is clear that such stored location data has the potential to be used for characterizing an individual's time-activity patterns for air pollution health studies. However, studies on the accuracy and feasibility of using a smartphone's location data in air pollution exposure estimation are still …

Using Lidar To Locate Indigenous Mound Structures Along The St. Johns River In The Ocala National Forest, Taylor Collore

Electronic Theses and Dissertations, 2020-2023

The Indigenous people of Florida terraformed the region's relatively flat landscape into monumental vantage points for residence, burial, and displays of regional power. Known as mound structures today, these long-abandoned sites are now obscured by dense vegetation and thick tree canopies making their rediscovery difficult. Using Light Detection and Ranging (LiDAR) technology these lost sites can be located remotely for protection and study. In this research, LiDAR is used to locate Indigenous mound sites along the St. Johns River within the Ocala National Forest. Using free an open source geographic information systems (GIS) and similar software, LiDAR point cloud data …

Utilizing High Throughput Computing Techniques For The Predictions Of Spectroscopic Properties Of Astrophysically Relevant Molecules, Brian Ferrari

Electronic Theses and Dissertations, 2020-2023

Here, we utilize Quantum Chemistry (QC) approaches to predict the structures, vibrational frequencies, infrared intensities and Raman activities of unusual molecular species using the General Atomic and Molecular Structure System (GAMESS(US)) package. A Python-based software, AutoGAMESS, was developed to automate the workflow and take advantage of High Throughput Computing (HTC) techniques enabling the automated generation of spectroscopic data from hundreds of calculations. This approach was utilized to determine these properties for a series of carbon oxides (C2On; n = 3 to 4), anticipated to be produced during the radiation of pure carbon dioxide ices, under conditions relevant to the interstellar …

High Spectral Brightness, Broad Area Quantum Cascade Lasers, Enrique Sanchez Cristobal

Electronic Theses and Dissertations, 2020-2023

Quantum cascade lasers are unipolar semiconductor lasers that offer a unique combination of compact size, high efficiency, high optical power, and flexibility to achieve a targeted emission wavelength with the same laser core material composition, employing so-called bandgap engineering. Since their invention in 1994, watt-level CW power with 5 to 20 % wallplug efficiency was demonstrated for QCLs throughout the entire 4 to 12 µm range, which makes QCLs very attractive for a number of practical applications. Our earlier work on broad-area QCLs emitting in the 4.6 µm to 5.7 µm spectral range demonstrated that CW power scaling with lateral …

Assessment Of Leadership Styles And Lean Six Sigma Critical Success Factors In The Aerospace And Defense Industry, Corey Gellis

Electronic Theses and Dissertations, 2020-2023

The Aerospace and Defense industry has shifted into a global competitive market that is prioritizing innovative advancements in technological capabilities. Corporations are now having to further develop customer focused strategies based in adding value while reducing costs. Large manufacturing corporations often embrace continuous improvement methodologies, such as Lean Six Sigma, for process improvement. Many organizations have received minimal benefit from the methodology which may link back to leadership and culture. This research examined which styles of leadership are most effective when trying to gain the most value from Lean Six Sigma within manufacturing. The research study surveyed 112 black belt …

Anomaly Detection And Failure Prediction In Gas Turbines, Vipul Goyal

Electronic Theses and Dissertations, 2020-2023

This study is based on time-series data taken from the combined cycle heavy-duty utility gas turbines. For analysis, first, a multi-stage vector autoregressive model is constructed for the nominal operation of powerplant assuming sparsity in the association among variables, and this model is used as a basis for anomaly detection and prediction. This prediction is compared with the time-series data of the powerplant test data containing anomalies. Granger causality networks, which are based on the associations between the time series streams, can be learned as an important implication from the vector autoregressive modelling. This method suffers from the disadvantage that …

Difficult History Education Via Design-Based Research: Teaching Historical Empathy Using Lucie Aubrac And The French Resistance As A Case Study, Sahar Eissa

Electronic Theses and Dissertations, 2020-2023

Technology-enhanced learning environments (TELEs) are educational tools that enable students to acquire knowledge, improving the quality of their educational experience. Educators face many challenges when teaching difficult histories about French resisters in World War II, such as Lucie Aubrac. Resisters' histories include deep emotions, choices, and hard decisions. There is a need for a new approach for teaching these topics and designing innovative digital tools to encourage educators and students to explore them. The current study designs and evaluates a TELE to teach difficult history via a historical empathy approach that engages students with difficult histories and provides them with …

The Effect Of The Medilepsy Mobile App On Medication Adherence And Transition Readiness In Adolescents And Young Adults With Epilepsy, Michelle Tall

Electronic Theses and Dissertations, 2020-2023

Medication nonadherence and lack of transition readiness are global challenges for individuals living with epilepsy and their families. Medication adherence measures the level of compliance with healthcare providers' treatment recommendations. Transition readiness is the gradual steps patients take to develop independence and self-management as they transfer from pediatric to adult healthcare models. Factors impacting medication adherence and transition readiness skills include developmental stage/age; forgetfulness; family/caregivers; socioeconomic status; knowledge/attitude about the disease; side effects; number of medications; and subjective and objective quantifications of adherence. One promising intervention for patients and families is mobile technology used for reaching, teaching, and communicating. However, …

Wavelet Particle Hydrodynamics For Less Smooth Flow, Oddny Brun

Electronic Theses and Dissertations, 2020-2023

The purpose of this research was to improve the smoothing operation in smoothed particle hydrodynamics, SPH, when the flow of matter is not smooth. Our main focuses are on the kernel selection, identifying the discontinuities in the sequences to be smoothed, and use of the Laplacian as opposed to artificial viscosity for improved physical accuracy. The results show that alternative kernels result in differences in how matter flows. These effects are explained by the kernels' gradient and Laplacian properties. Five alternative kernels were included in our analysis and our SPH-based simulation cases. Further, the sequences to be smoothed by the …

Nonlinear Light-Matter Interactions In Novel Crystals For Broadband Mid-Infrared Generation, Taiki Kawamori

Electronic Theses and Dissertations, 2020-2023

Mid-infrared (MIR) laser sources have demonstrated diverse applications in science and technology. For spectroscopy applications, numerous molecules have unique absorption features in this range, and one needs a spectrally broad coherent laser source for parallel detection of mixtures of species. Frequency down-conversion in nonlinear optical materials via second-order nonlinear susceptibility is one of the promising techniques to generate the spectral coverage of more than an octave in the MIR, assisted by emerging novel crystals. The nonlinear light-matter interactions in such special crystals as ZnSe ceramics have not been analyzed. Additionally, through the use of high-intensity few-cycle optical pulses, high-order nonlinear …

Communities Of Play And Practice: Collaborating With Audiences And Coworkers In Performative Online Spaces, Paul Oppold

Electronic Theses and Dissertations, 2020-2023

This study describes an ethnographic investigation of Communities of Play within Communities of Practice. As professional 'content creators', whose 'work' is 'play', are increasingly interacting with non-professional content consumers, whose 'play' is a kind of 'work', the barriers between 'work' and 'play' are increasingly dissolving. The purpose of this study was to examine the nature and frequency of the professionals' interactions with coworkers in an office and with the content consumers while working from home. Data were collected in the form of gameplay videos uploaded by the professional streamers from January of 2017 to March of 2018, downloaded by the …

Creativity As A Resource: How Creativity Influences The Appraisal Of Work Stressors And Subsequent Strain, Alyssa Perez

Electronic Theses and Dissertations, 2020-2023

Although creative behaviors are known to have positive effects on general well-being, little research has looked at the relationship between an individual's creativity and stress within the context of work. This research explored how creativity may work as a buffer against the strain of job stressors. In study 1, six vignettes were developed using Role Stressor Theory (Kahn et al., 1964) and the Challenge/Hindrance Framework of stress (Cavanaugh et al., 2000). A sample of 164 undergraduate students responded to the vignettes and results showed that trait-level creativity was directly related not only to the creativity of the solutions the participants …

The Potential Of Location Data For Contact Tracing And Understanding Individual Mobility During The Covid-19 Pandemic, Marcus Figaro

Electronic Theses and Dissertations, 2020-2023

In this study, we first review contact tracing methods used during the COVID-19 pandemic and provide an analysis of the benefits and drawbacks of different data collection and privacy protection methods. Our findings provide the benefits and drawbacks of using GPS versus Bluetooth for contact tracing, as well as the different data collection and storage methods and their effectiveness in protecting user privacy. We then analyze Twitter data to understand individual mobility behavior and sentiment by using a Natural Language Processing tool on text content of user tweets and Tweet coordinate data. Social media's ability to provide data on location …

Uab School Of Public Health Appoints First Magic City Lgbtq Health Studies Endowed Professorship, Staff

Browse All News

No abstract provided.

Kirklin Named Inaugural Recipient Of The Phts Lifetime Achievement Award, Staff

Browse All News

No abstract provided.

Uab Receives Funding To Support Early-Career Investigators Impacted By Covid-19 Pandemic, Staff

Browse All News

No abstract provided.

December 1, 2021 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

Map-Gan: Unsupervised Learning Of Inverse Problems, Brandon S. Campanella

Master's Theses

In this paper we outline a novel method for training a generative adversarial network based denoising model from an exclusively corrupted and unpaired dataset of images. Our model can learn without clean data or corrupted image pairs, and instead only requires that the noise distribution is able to be expressed analytically and that the noise at each pixel is independent. We utilize maximum a posteriori estimation as the underlying solution framework, optimizing over the analytically expressed noise generating distribution as the likelihood and employ the GAN as the prior. We then evaluate our method on several popular datasets of varying …