Digital Commons Network^™

Discharge-To-Water Level Conversion Using Monthly Duration Curves (Dwl-Mdc): Enhancing The Utility Of The Geoglows Ecmwf Hydrological Model, Darlly Judith Rojas Lesmes

Theses and Dissertations

Flood early warning systems are crucial for disaster risk reduction strategies, enabling communities to take timely action against threats. However, the effectiveness of these systems depends on accurate and timely hydrological data, particularly river discharge and water level measurements. Unfortunately, many regions, face significant challenges in obtaining hydrological data, especially discharge data due to outdated rating curves, high equipment costs, and logistical constraints. Water level measurements, by contrast, offer reduced uncertainty and are often more accessible, providing an alternative for hydrological modeling in data-scarce regions. To address these limitations, we developed and validated the Discharge-to-Water Level Conversion Using Monthly Duration …

Meretseger: A Reexamination, Parker M. Anderson

Theses and Dissertations

Meretseger, “She Who Loves Silence,” the cobra goddess of the Theban necropolis and local deity of Deir el-Medina, is well attested for in the New Kingdom. This single sentence makes up most of the information in publications today, derived from Bernard Bruyère’s Mert Seger à Deir el Médineh (1929-1930), the only study dedicated to the “Mistress of the West.” Since then, new evidence has been found after 1930 and has not been compiled into a single publication until now. This thesis will reexamine Meretseger to form a more accurate, up-to-date study of her attestations and iconographic representations and trace her …

Geomorphic Evolution Of St. Augustine Inlet, St. Johns County, Florida, Kristen Becker

Theses and Dissertations

Tidal inlets interrupt longshore sediment transport, influencing adjacent beach morphology and allowing the exchange of water and sediment between the open oceans and protected back barrier bay. Inlets evolve through a combination of natural processes and are highly dynamic zones where sediment exchanges cause shifting shoreline positions nearby and create new morphological features. Barrier islands/beaches that are close in proximity to inlets evolve and are an important natural feature that dissipates wave energy and protects inland areas. Both natural and anthropogenic processes that affect barrier islands will be investigated during this study, including storm activity, waves, wind, water level, and …

Stress, Screens, And Social Skills: Parental Stress As A Longitudinal Predictor Of Preschool Social Behavior Mediated By Parental Technoference, Sarah Ashby

Theses and Dissertations

This study examines the longitudinal relationship between parental stress, parental technoference, and preschool children's social behavior, including physical aggression, relational aggression, and prosocial behavior. Using data from Project M.E.D.I.A., the study explores how parental stress may be linked to disruptions in parent-child interactions through increased use of digital media, termed "technoference." It was predicted that an increase in parental stress would increase physical and relational aggression, and decrease prosocial behavior over time, as mediated by parental technoference. A sample of 460- parent-child dyads was analyzed across three time points using structural equation modeling. Despite expectations, results did not find significant …

Effects Of Microbial Lipases On Parmesan And Feta Cheese Flavor Profiles, Erin N. Caswell

Theses and Dissertations

Lipolysis is crucial for cheese flavor development, as lipolytic enzymes convert fats into free fatty acids that enhance flavor. While Kid/Goat (KG) lipases are traditionally used in cheese production, microbial lipases like M. javanicus (MJ) and C. cylindracea (CC) provide vegetarian, cost-effective alternatives. This study compares the flavor, texture, and composition of Feta and Parmesan cheeses made with microbial lipases as a replacement for traditional lipase. Conventional cheese making techniques were used to make experimental batches of Feta and Parmesan cheeses using a standard KG lipase and two experimental lipases, CC and MJ, and comparing all three against a control …

Climate Change Impacts On Dryland Ecosystems, Tanner Tainui Aiono

Theses and Dissertations

Dryland ecosystems are some of the most prevalent ecosystems on Earth and have recently shown stress indicators from climate change. These water-limited systems are vulnerable to increases in temperature and changes in precipitation, especially when looking at carbon cycling dynamics across biological sol crusts and vegetation mortality patterns. This dissertation aims to 1) evaluate how precipitation dynamics, vegetation location, and microclimate conditions influence biological soil crust carbon conditions, and 2) evaluate how topographic influences drive patterns of plant mortality during prolonged drought on the Colorado Plateau. Using high-resolution monitoring of long-term NEE chambers, we found that intermediately disturbed biocrusts are …

The Impact Of Positive-To-Negative Teacher Interaction Ratio On Student Performance, Naomi L. Phillips

Theses and Dissertations

Challenging behavior is a growing problem for teachers. Praise has been promoted as a positive strategy for addressing problem behavior. The ratio of praise-to-correction (positive-to-negative) may be important to the effectiveness of praise. A 4:1 ratio has been recommended as optimal to improve student performance. This ratio has never been experimentally tested. There is little known of the feasibility and social validity for maintaining a high positive-to-negative ratio. The purpose of this study was to evaluate the effect of a 4:1 positive-to-negative ratio (PNR) on problem behavior and academic performance of junior high students with an intellectual disability classification in …

Development Of Sensing Capabilities For Agricultural Robotics, Carter Noh

Theses and Dissertations

Agricultural robotics is a rapidly growing industry with the possibility to revolutionize food production. Agricultural robots often require custom sensing solutions to perform specific tasks. Developing the appropriate sensing capabilities for an application is therefore an important step in the automation process. In this thesis I present two case studies in developing sensing capabilities for agricultural robotics applications. First, I introduce a sensor that can provide simultaneous measurements of force and position. The sensor was developed to enable high-throughput measurement of maize stalk stiffness on a robot platform. It uses multiple sets of strain gauges on a cantilever beam to …

Extracting Speech Content From High-Amplitude Background Machine Noise, Curtis L. Garner

Theses and Dissertations

The research presented in this dissertation aims to address the need for improved communication between heavy machinery operators and external personnel, aiming to improve safety and efficiency by overcoming the communication barriers posed by equipment noise and cab insulation. The primary purpose of this research was to develop a hands-free communication system that allows the operator to hear speech from outside the cab without requiring any personal communication devices like radios or headsets. Key objectives included effective speech extraction from ambient noise and accurate estimation of the location of the speaker. Operating without active user control, the system emphasizes clarity …

Advanced Models For Linking Process In Data Washing Machine, Bushra Sajid

Theses and Dissertations

Entity Resolution (ER) is a critical process in data integration and quality improvement that identifies and links multiple records referring to the same real-world entity. As data volumes and heterogeneity increase, traditional ER methods face new challenges, prompting research into more advanced techniques. The Proof-of-Concept Data Washing Machine (DWM), developed under the NSF DART Data Life Cycle and Curation research theme, aims to automatically detect and correct data quality errors through unsupervised entity resolution. Recent research focuses on enhancing DWM's effectiveness by replacing rule-based methods with machine learning and deep learning approaches, particularly in the linking process. Deep learning models, …

Using Genomics And Transcriptomics As A Tool To Understand Unique Phenotypes Of Hemipteran Insects That Are Relevant To Agriculture And Public Health, Hunter Kelly Walt

Theses and Dissertations

In the past couple of decades, advances in genomic sequencing technology have caused an unprecedented increase in biological data. Because of the quantity and size of these datasets, the need for biologists with computational expertise also increased, and using these large genomic datasets has revolutionized the way we can answer biological questions. In this dissertation, I apply genomic and transcriptomic data to answer questions about insects of the order Hemiptera that are relevant to agriculture and public health. My dissertation mainly focuses on stink bugs (Hemiptera: Pentatomidae), many of which are agricultural pests, and bed bugs (Hemiptera: Cimicidae), which are …

Educators’ Perceptions Of World Language Curriculum Models, Curriculum Coherence, And Student Learning In New Jersey High School Spanish Programs, Thomas David Pratz

Theses and Dissertations

This mixed-methods explanatory sequential study aimed to identify the most commonly used World Language curriculum models in New Jersey high schools, assess the level of curriculum coherence in Spanish programs, and examine their impact on student learning. Surveys and interviews with high school Spanish teachers revealed that, while theoretical curriculum coherence exists in most programs, it is not significantly associated with teacher or district characteristics such as experience, tenure, region, or type. A disconnect was also observed between the World Language curriculum models, perceived curriculum coherence levels, and their effects on student learning. Several themes that emerged from the qualitative …

Development Of Novel Nanocarriers With Multi Modal Action Against Lung Cancer, Gayathri K

Theses and Dissertations

Lung cancer ranks among the top causes of cancer-related deaths worldwide. The deteriorating environment and unhealthy lifestyle in the modern era has further contributed to the exponential increase in lung cancer incidence across the globe. Lung cancers fall under two major types based on the location of the tumour in the lung namely, small-cell lung cancer (SCLC) which is more aggressive, and non-small-cell lung cancer (NSCLC) which is more prevalent. Late diagnosis has been a major cause for poor prognosis as the cancer is detected only in an advanced stage.

Conventional therapies like chemotherapy, surgery and radiotherapy against lung cancer …

Crystal Plasticity Modeling To Capture Microstructural Variations In Cold-Sprayed Materials, Aulora Gail Williams

Theses and Dissertations

The high-velocity impact of powder particles in cold-spray additively manufactured (CSAM) parts creates intersplat boundaries with regions of high dislocation densities and sub-grain structures. Upon microstructure and mechanical characterization, CSAM Aluminum 6061 showed non-uniformity, with spatial variation in the microstructure and mechanical properties affecting the overall response of the additively manufactured parts. Post-processing treatments are conducted in as-printed samples to improve particle bonding, relieve residual stresses, and improve mechanical properties. In this work, we attempt to implement the effects of grain size and distribution of smaller grains along the intersplat boundaries using the grain size distribution function and powder size …

Analysis Of Cortical Evoked Auditory Response Detection In Adults Using Machine Learning, Pranavi Beerelli

Theses and Dissertations

This study focuses on the use of machine learning (ML) techniques to automate the detection of Cortical Evoked Auditory Responses (CEARs), which are key in understanding how the auditory cortex processes sound stimuli. Traditionally, analyzing these auditory responses has relied on manual interpretation by audiologists, a process that can introduce variability and human error, particularly in complex cases. To address this challenge, the research utilizes advanced deep learning models, including Convolutional Neural Networks (CNNs), Long Short Term Memory (LSTM) networks, and Bidirectional LSTM (BiLSTM) architectures, to analyze Electroencephalography (EEG) data and classify the presence or absence of auditory responses automatically. …

On Topological Measures And Network Vulnerability Patterns: A Review And Comparative Analysis, Saviz Saei

Theses and Dissertations

Despite much hope for climate change to slow down or even reverse, younger generations face a future overshadowed by extreme events. The indisputable reality is that unless the United Nations establishes comprehensive and sustained climate justice policies, children today will experience five times more extreme events than those that took place a century ago. On Monday, July 3rd of 2023, an unprecedented peak in global temperatures was documented, marking the highest global temperature ever recorded, as the U.S. National Centers for Environmental Prediction reported. These increasing temperatures indicate the ongoing and intensifying phenomenon of climate change, which amplifies the frequency …

Design And Synthesis Of Bimetallic Catalyst And Multifunctional Peptide Catalysis For Organic Synthesis And Synthesis Of Proteolysis Targeting Chimeras (Protacs) For Sphk1 And Sphk2, Mariur Rodriguez Moreno

Theses and Dissertations

In the first part of this dissertation (chapters 1-4) we discuss the development of bimetallic and monometallic palladium complexes scaffolded on 2-phosphinoimidazole ligands and their application to cross-coupling reactions. Specifically, we discovered a bimetallic Pd(II) dimer that performs a tandem arylation/annulation reaction to produce naphthalene products from aryl iodides and ketones (Chapter 2). We then show that bimetallic Pd(II) and Pd (I) complexes have different activity in different transformations and that the starting oxidation state of our catalysts is important for reactivity (Chapter 3). For example, we demonstrate that our Pd(I) dimer is much more active in Buchwald- Hartwig amination …

Applications Of Phosphorus Geochemistry To Utah Lake, Jacob Barry Taggart

Theses and Dissertations

This compilation of studies provides an examination of phosphorus dynamics in the suspended solids, water column, and lakebed sediments of Utah Lake, a large, shallow, and phosphorus-rich water body. The first study introduces a novel phosphorus microfractionation (P-MF) method designed for small samples of suspended solids and sediments. This method reveals that suspended solids in Utah Lake can have a significantly higher phosphorus content across most fractions compared to lakebed sediments, highlighting the importance of considering suspended solids in nutrient management strategies. The second study analyzes historical phosphorus mass and concentrations, demonstrating that water column phosphorus levels have remained stable …

Effects Of Turbulence On Scramjet Engines Combustion, Mohamed En-Nali

Theses and Dissertations

In the present work, we aim to investigate the predictive capabilities of low and high-fidelity turbulence models and understand how they perform in complex conditions in a scramjet engine. In this study, we use the DLR experiments to present a comparative performance assessment of low to high fidelity turbulence models. The DLR case is interesting since it exhibits turbulence due to wall effects as well as due to shear layer. Results show relatively good agreement when compared against the validation data set from the experiment. DHRL was able to resolve more turbulence structures compared to all other models. HRL showed …

Enhanced Intellectual Property Protection Mechanisms Towards Collaborative Data Sharing In Metal-Based Additive Manufacturing, Durant Hayes Fullington

Theses and Dissertations

This dissertation aims to develop effective methodologies towards enhanced intellectual property protections for data sharing frameworks in metal-based additive manufacturing (AM). Currently, many small-to-medium sized manufacturers face data availability challenges due to the prohibitive high cost to collect, process, and analyze large amounts of process-related data for AM. Because these manufactures rely heavily on small-scale data, it can be difficult for them to effectively train complex machine learning (ML) algorithms, which are commonly used for AM process monitoring. One popular solution is to develop collaborative data sharing frameworks, where multiple independent AM users can share their data to increase the …

Intramolecular Styryl Diels-Alder (Isda) Reaction For Synthesizing Derivatives Of Anticancer Lignans, Kriti Shrestha

Theses and Dissertations

Intramolecular Styryl Diels-Alder (ISDA) cycloaddition reactions are used widely in synthesizing complex natural products. They help synthesize polycyclic cores and form new chiral centers in the molecule. Among such natural products, lignans are considered important biomedical molecules due to their numerous pharmacological properties, such as antitumor, hepatoprotective, insecticidal, antifungal, antihypertensive, sedative, antioxidant, and antiparasitic. Numerous researchers have published their work in trying to synthesize different lignans for medicinal purposes. However, the lignans are challenging to synthesize because of their complex tetralin cores. This project focuses on synthesizing the polycyclic core for the analogs of anti-cancer compounds with ISDA reaction. The …

Mapping Invasive Aquatic Plants Using Deep Learning Classification And Segmentation Models, Ruchitha Yadav Prakash

Theses and Dissertations

High-resolution imagery from Uncrewed Aerial Systems (UAS) equipped with multispec tral(MSI) and RGB sensors can be used for mapping invasive aquatic species. This research employs classification models like CNN, AlexNet, VGG16, ResNet, and DenseNet, alongside segmentation models such as FCN, U-Net, SegNet, DeepLabV3+, and Mask R-CNN, to analyze and visualize four invasive aquatic species including Cuban Bulrush (Oxycaryum cubense), Water Hyacinth (Eichhornia crassipes), Juncus (Juncus effusus), and Cattail (Typha latifolia). Among the tested models, ResNet (97.44% for RGB)andDenseNet(96.20%forMSI)exhibitedthehighest classification accuracies. For segmentation tasks, FCN (75.5% for RGB) and SegNet (79.6% for MSI) excelled. The study also examines the computational complexity …

A Mixed Method Descriptive Case Study Of Cio Roles And Organizational Positioning In Information Technology Strategic Planning At Community Colleges In A Southern State, Adell Brooks

Theses and Dissertations

ABSTRACT The role of a Chief Information Officer (CIO) or a Chief Technology Officer (CTO) within higher education is essential, though not well defined or understood. At all levels of the institution a CIO/CTO impacts the information technology (IT) systems required for the security and the ability of the college or university to operate and to support student success. Institutions of higher education are dependent on the IT department for college-issued computers, for software services, for library functioning, and for driving innovation to keep the college competitive for enrollment and student success. Although the CIO role is essential to a …

A Comprehensive Performance Evaluation Of Proprietary And Open-Source Language Models In Closed And Open-Domain Tasks, Abhilash Kanduri

Theses and Dissertations

As the field of Natural Language Processing (NLP) continues to evolve, evaluating the performance of both proprietary and open-source language models has become increasingly critical. This research provides a comprehensive analysis of proprietary models like GPT-3.5 Turbo, GPT-4, and GPT-4 Turbo, alongside open-source models such as FLAN-T5, GPT-Neo, and GPT-2. By leveraging traditional metrics like ROUGE and BLEU, as well as custom metrics including ReGrAde, Contextual Precision, and Faithfulness, the study evaluates these models across closed-domain tasks (e.g., factual question-answering) and open-domain tasks (e.g., creative writing and brainstorming). The proprietary models excelled in structured, fact-based tasks, while the open-source models …

Understanding The Correlation Between Socioeconomic Status And Student Achievement Amongst High School Students In Rural Mississippi, Aiesha L. Brooks-Hodges

Theses and Dissertations

This study examines the relationship between socioeconomic status (SES) and student achievement among high school students in rural Mississippi. By using a mixed-methods approach that combines quantitative data from the Mississippi Department of Education’s Accountability Report Card with qualitative data from student surveys and teacher interviews, this paper explores how SES factors such as parental income and education affect academic outcomes in rural settings. The study highlights the significant disparities between low-SES and high-SES students in terms of standardized test scores, graduation rates, and access to educational resources. The findings suggest that addressing these disparities will require targeted interventions at …

Biothermodynamics Of Metal And Dna Coordination To The Pneumococcal Transcription Factors Adcr, Scza, And Copr, Alexander James Cutright

Theses and Dissertations

ransition metals are micronutrients that play critical roles in all forms of life, acting as stabilizing ions, catalytic centers, and as signaling ions. Due to their importance, classes of biomolecules have been designed with the sole purpose of regulating their intracellular concentrations. One group of which are transcription factors, which regulate intracellular metal concentration by activating or repressing transcription, dependent on metal availability. The activation of transcription factors by metal availability can be attested to conformational changes that are governed by both dynamics and thermodynamics. Due to the influential nature of transcription factors, their activity and activation mode have become …

The Impact Of Diversity, Equity, And Inclusion Trainings And Study/Work Abroad Experiences On The Ability Of Staff And Faculty To Build Systems Of Support For International Students, Alina Fasirovna Nigmatullina

Theses and Dissertations

The issue of effective communication with the international students and their comfortable adaptation play an important role in developing the U.S. higher educational system in the field of competition of educational services. The international student population benefits from higher education just as much as higher education benefits from them. If universities are willing to recruit and retain more international students, they must be sensitive to the perceptions, needs, and concerns of prospective and enrolled international students. In order to sustain this, staff and faculty have to be exposed to certain trainings and experiences that will allow them to gain basic …

Identifying Fecal Contamination Sources In The Grand Bay National Estuarine Research Reserve, Amanda M. Free

Theses and Dissertations

The Grand Bay National Estuarine Research Reserve (GNDNERR) has a history of elevated fecal coliform counts. However, the source of the contamination is not well understood. According to past sanitary surveys, there has been a history of malfunctioning residential septic systems and inadequate wastewater treatment in the upper watershed. Feral hogs (Sus scrofa) and birds are also abundant in the estuary and could be potential contributors to elevated fecal coliform levels. To better understand the temporal and spatial variation of fecal coliforms in the GNDNERR and inform oyster reef management, eight sites within the GNDNERR watershed were sampled monthly for …

Perceptions Of University Staff Member Organizational Belonging In Higher Education: A Quantitative Analysis, Amanda Mcknight Baine

Theses and Dissertations

The purpose of this study is to examine organizational belonging among staff members working in higher education. While staff members are vital to the operations, maintenance and overall organizational function of higher education institutions, this group represents a seldom studied population. Given their essential role and the impact of the pandemic on work life perspectives, it is important to recognize the experiences of staff members and seek to understand current perceptions of organizational belonging with implications from retention to work quality. To measure organizational belonging, a modified survey developed by Blau et al. (2023) was used, looking at 4 scale …

Multi-Temporal Uav Remote Sensing Combined With Machine Learning For Estimating Cotton Yield, Amrit Shrestha

Theses and Dissertations

Accurate crop yield estimation early in season can help in identifying specific areas within a field that may require different management practices, thus enhancing overall efficiency and productivity. However, early estimation has been a challenging task mainly due to integrated complex association between genetic × environment × management factors. Over the decades, machine learning techniques, especially artificial neural network, has been widely adopted in conjunction with uncrewed aerial system (UAS) for high-throughput plant phenotyping and crop yield estimation. This study introduces the plus neural network (pNN) to incorporate temporal dynamics across different crop growth stages. Cotton field data from 2020-2023 …