Digital Commons Network^™

Exploring The Perceived Impact Of Instructional Coaching On K-12 Staff In A Midwestern State Region, Viloshinee Murugan

Dissertations

This study looked at how K–12 educators in one Midwestern state region perceived the impact of instructional coaching on their instructional practices. The purpose of this quantitative study was to determine how the type and frequency of coaching predicted the educators’ self-reported improvements in instruction. 307 educators who had participated in instructional coaching within the past five years completed the survey measuring three coaching types, content-focused, pedagogical-focused, and data-focused, and the frequency of one-on-one coaching interactions. Descriptive analyses identified the prevalence of each coaching type and the ways that the educators rated their growth, while a multiple regression tested the …

(R2137) Smarandache Curved Ruled Surfaces And Their Characterizations According To Modified Orthogonal Frame In E^3, Gülnur Şaffak Atalay

Applications and Applied Mathematics: An International Journal (AAM)

In this study, the ruled surfaces generated by Smarandache curves are expressed according to the modified orthogonal frame defined according to both curvature and torsion of the given unit speed curve in 3-dimensional Euclidean space; some special characterizations of these surfaces such as developability, striction curves, distribution parameters are given. In addition, some examples of these surfaces are given in graphical form. We use Maple to draw the graphs of the examples.

(R2130) Cusum-Test For Unconditional Variance Change Detection In Bilinear Garch Models, Edoh Katchekpele, Abdou Kâ Diongue, Ben Célestin Kouassi

Applications and Applied Mathematics: An International Journal (AAM)

We examine CUSUM-type test for detecting changes in unconditional variance within Bilinear GARCH models. We derive the asymptotic distribution of the test statistic under both null and alternative hypotheses and assess test effectiveness in identifying single structural breaks. Simulation studies support our theoretical results and demonstrate the practical utility of the test.

A Combined Multi-Isotope And Machine Learning Approach To Determine Groundwater Salinity And Solute Sources, Lower Valley Area, El Paso County, Texas, Gloria A. Ortiz Gamboa

Open Access Theses & Dissertations

Groundwater salinization is increasingly troublesome in aquifers in and around El Paso, Texas, where concern for available water resources has grown due to frequent droughts and increasing population. Both groundwater and surface water have experienced an increase in total dissolved solids (TDS), a trend that can pose future health and economic problems for residents who primarily rely on groundwater. To address this issue, this research focuses on the Hueco Bolson Aquifer and the Rio Grande Alluvial Aquifer within the Lower Valley area of El Paso, Texas, utilizing a multi-analysis approach to evaluate and determine solute sources and their possible end-members …

An Old Vehicle With A Fresh Coat Of Paint: Demystifying Autonomous Smart Contracts In The Context Of U.C.C. § 2-202, Daniel Kennedy

University of Dayton Law Review

No abstract provided.

Dual-Level Pattern Tree For Visual Field Improves Glaucoma Progression And Polygenic Risk Prediction, Luo Song, Lucy Q. Shen, Louis R. Pasquale, Michael V. Boland, Sarah R. Wellik, Carlos Gustavo De Moraes, Ayellet Segre, Janey L. Wiggs, Constance Turman, Jonathan S. Myers, Tobias Elze, Nazlee Zebardast, David S. Friedman, Jae H. Kang, Mengyu Wang

Wills Eye Hospital Papers

PURPOSE: To develop a dual-level pattern tree to characterize visual field (VF) loss subtypes that can be used to better predict glaucoma progression and glaucoma polygenic risk scores (PRSs).

METHODS: This study included 113,030 patients from three datasets, each used for a specific purpose: (1) model training, (2) progression forecasting, and (3) PRS correlations. We applied archetypal analysis to cluster 24-2 VFs into trunk patterns and their branch patterns. The Cox regression model was used to forecast VF progression using mean deviation (MD) slope, MD-fast slope, total deviation (TD) pointwise slope, and visual field index (VFI) slope. Multivariable regression analyses …

Asymptote, Aybuke Yilmazer

Theses

Asymptote is a short film that is an expression of mankind’s emotional consumption through confusing love with sex. This film is a frame-by-frame hand-drawn animation that combines digital and analog techniques. It was produced between August 2024 and April 2025, and its music was re-produced in August 2025. This paper is a written declaration of the motives and intentions of the director, Aybuke Yilmazer, in making this film, and analyzes the filmmaking process. The text of the thesis is in third person except for the self-evaluation section.

An Analytical Assessment Of Sentiment Analysis Trends And Methods Through Systematic Review And Topic Modeling, Chelsey Hill, Fatima Irshaidat, Marina Johnson, Jorge Fresneda

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Sentiment Analysis (SA) applies Artificial Intelligence (AI) and Machine Learning (ML) techniques to identify and interpret opinions, emotions, and sentiment polarity in text data. This study presents a systematic literature review of SA research published between 2012 and 2024 using a dataset of 14,482 journal articles indexed in Scopus. The primary objective of this research is to provide a data-driven overview of the evolution of SA research, offering insights into methodological evolutions, emerging application areas, and the growing influence of AI in the field. The research findings reveal a multidisciplinary growth of SA research, with increasing contributions from Health Sciences …

Alaska Native Disparities In Alaska Jails And Prisons. An Exploratory Study And Descriptive Analysis, Brad A. Myrstol, Cheryl Jones, Rus'sel Sampson, Bri Moffat

AJiC Reports

This report presents an exploratory study of racial disparities in Alaska’s correctional system, combining a review of national research with an analysis of Alaska Department of Corrections (ADOC) booking data.

Factors Shaping Data-Based Decision-Making: The Role Of Self-Efficacy, Anxiety, And School Culture In Mississippi’S State Tested Subjects, Cymone E. Bradford

Dissertations

This quantitative study examined the factors influencing Mississippi state-tested teachers’ engagement in data-based decision-making (DBDM). The purpose of the study was to explore how self-efficacy, anxiety, and school culture shape teachers’ experiences using data to guide instruction. A researcher-developed instrument measuring four constructs self-efficacy in data interpretation, anxiety related to DBDM, self-efficacy and engagement in DBDM, and school culture and DBDM was administered to Mississippi teachers of state-tested subjects. Descriptive statistics, a one-way ANOVA, correlation analysis, and multiple regression were used to analyze the data.

Results revealed significant differences in demographic characteristics of age and frequency of data use when …

Exploring Internship’S Role In Non-Virtual Social Capital Development: A Gen Z Student Perspective, Christina M. Galli

Dissertations

Gen Z students often complete internships as they prepare to enter the workforce (Maloni et al., 2019; Shtembari & Elgün, 2023). However, because the population relies heavily on digital technology to develop social relationships, Gen Z students may not have the social skills to develop non-virtual social capital (Fernandez et al., 2023; Henry & Shannon, 2023; Osorio & Madero, 2024). Existing research focuses on Gen Z individuals as students (Maloni et al., 2019; Pichler et al., 2021; Shtembari & Elgün, 2023). However, existing literature lacks specifications about Gen Z students’ strategies for gaining non-virtual social capital through internship experiences. This …

Institutional Sustainability In Ai Governance: Comparing Paths In The Eu, Japan, And Taiwan, Kuan-Wei Chen

Yearbook of Antitrust and Regulatory Studies

This article explores the concept of institutional sustainability in AI governance by comparing the approaches in the European Union, Japan, and Taiwan. It begins by arguing that the relationship between AI and sustainability extends beyond environmental concerns, encompassing the sustainability of governance institutions themselves. The article posits that institutional sustainability, referring to the capacity of governance frameworks to remain effective over time, is essential in the context of rapidly evolving and future-oriented AI governance. The analysis proceeds by examining the EU’s strategy of normative anchoring through legal codification, Japan’s agile governance model based on collaboration and coordination, and Taiwan’s digital …

Development And Optimization Of Moxifloxacin Solid Lipid Nanoparticles Via Double Emulsion Organic Solvent Free Technique Applying Box–Behnken Experimental Design, Esraa M. Elshazly, Mona G. Arafa, Samia A. Nour

Pharmacy

The current research proposes the preparation of Moxifloxacin-loaded solid lipid nanoparticles through a solvent-free double emulsion technique, to overcome chronic wound healing limitation. The independent variables: stearic acid, Span 80, and Tween 80 were optimized via Box–Behnken design, based on entrapment efficiency (EE%), zeta potential (ZP), and particle size (PS). To statistically optimize the formulation variables, a three-factor, three-level (3³) design involving 15 runs was employed and optimization was carried out to attain maximum EE% and ZP and minimum PS yielding an overall desirability of 0.851. Results indicated that increasing stearic acid enhanced EE%, Span 80 increase PS, and Tween …

Deterministic Methods To Improve The Field-Of-View For Direction Finding Using Sparse Digital Arrays, Nolan J. Egging

Master's Theses

Direction finding algorithms are used with digital phased arrays to determine the incoming angle of arrival (AoA) of an incident signal. These algorithms, and direction finding as a whole, have a wide range of civilian and military applications from radar, electronic reconnaissance, mobile communication, et cetera. However, for situations where the spacing between antenna elements needs to be large, gating lobes appear in the radiation pattern of analog arrays. This work demonstrates that for digital beamforming algorithms, the field of view (FoV) of a uniform linear digital array matches the grating lobe free range of a similarly spaced analog array. …

Development And Test Of An Automatic Mass Balancing System For Cal Poly's Spacecraft Attitude Dynamics Simulator, Cameron B. Zorio

Master's Theses

The Cal Poly Spacecraft Attitude Dynamics Simulator (SADS) is an ongoing project to develop an air-bearing platform capable of recreating on-orbit rotational dynamics with near frictionless and torque-free rotations. However, any offset between the platform's center of rotation and its center of mass will introduce a torque due to gravity.

This thesis presents the design, implementation, and experimental evaluation of a low-cost, automatic mass balancing system for the SADS to address this challenge. A new modular sliding mass system was developed that overcomes issues faced in previous iterations of the SADS, providing real-time positional control of the masses and a …

Marsanywhere: Dataset And Cross-View Diffusion Model For Satellite-To-Ground View Synthesis With Mars Data, Benjamin T. Hinchliff

Master's Theses

Satellite-to-ground view synthesis aims to create a realistic ground view image from a corresponding satellite view image. This is a well-studied problem for street level imagery, with good results being achieved by using modern image synthesis techniques such as diffusion models. However, despite the public availability of satellite and ground level imagery on Mars, these techniques have yet to be applied to the domain due to difficulties in collating and processing the data into a usable form. We address this deficiency by creating a dataset consisting of ground view panorama imagery from the Perseverance rover, along with associated satellite view …

Signature-Based Attribution Of Images Generated By Stable Diffusion, Bella White

Master's Theses

Generative AI is powerful yet controversial technology capable of spreading misinformation, non-consensual imagery, and offensive materials when not properly safeguarded against such abuse. Synthetic image alteration and generation have always been abused, from photo editing software to Generative Adversarial Nets, and now Diffusion Models. The Internet Watch Foundation and the National Center for Missing and Endangered Children have reported a consistent increase in reported AI generated child sexual assault materials (CSAM) and sextortion scams since the introduction of DMs. New digital forensics tools must evolve to adapt to the ever-changing landscape of AIG CSAM abuse. This work provides a comprehensive …

Why The Long Face? The Distribution And Niche Of The Imperiled Narrow-Faced Kangaroo Rat (Dipodomys Venustus), Garrett L. Gimbel

Master's Theses

Distribution models provide a practical use case of connecting ecological niche theory with species’ occurrence and assemblages. By explicitly linking Hutchinson’s “niche space” with geographic space researchers can gain valuable information on a species’ niche characteristics and interactions, thereby informing conservation and management practices. The narrow-faced kangaroo rat (Dipodomys venustus) is a highly understudied kangaroo rat species endemic to the central coast of California and is an ideal species to explore niche theory in distribution modeling. Three subspecies are currently recognized: The Santa Cruz kangaroo rat (D. v. venustus), the elephant-eared kangaroo rat (D. v. …

Using Hydraulic And Hydrologic Modeling To Determine Scour At Toro Creek Under Climate Change Conditions, Gabriel E. Alaniz

Master's Theses

ABSTRACT

This study evaluates bridge scour at the Toro Creek crossing of Highway 1 in Morro Bay, California, under present conditions and future climate conditions with more frequent extreme rainfall events. California infrastructure is becoming increasingly vulnerable to extreme storm events and increased intense precipitation events brought by climate change. This analysis focuses on the calculation of scour for both the northbound and southbound spans. Highway 1 plays a vital role in California’s coastal transportation infrastructure by carrying more than 20,000 vehicles daily (Caltrans, 2017). In this thesis, a hydrological model (HEC-HMS) is used to simulate runoff under present-day and …

The Moderating Effect Of Income Inequality On The Income–Emissions Relationship In G20 Countries, Zahra Rizky Fadilah, Budiasih Budiasih

Economics and Finance in Indonesia

This study analyzes the moderating effect of income inequality on the income–emissions relationship in the environmental Kuznets curve (EKC) framework. Findings indicate that the relationship is inverted U-shaped in middle-income G20 countries, but monotonically increasing in high-income G20 countries. Interestingly, income inequality moderates this relationship only in the latter group. These findings suggest that middle-income G20 countries should focus on raising income per capita to mitigate environmental degradation, while their high-income counterparts need to prioritize reducing income inequality to effectively decouple income from emissions.

Creating A Growth Mindset: A Mixed-Methods Program Review Research Study On The Effects Of Social–Emotional Learning On Retained Third-Grade Students, Casshaunda Davis

Electronic Theses and Dissertations

In Mississippi’s public elementary schools, third-grade students are faced with promotion–retention decisions from the third-grade state assessment and, when retention is the outcome, students often experience negative emotional outcomes. In our school setting, the challenge is how better to help our retained, third-grade students to cope with retention and to grow a strong mindset of self-efficacy towards academic achievement after experiencing retention. This mixed-methods program review research study was conducted to institute a social–emotional learning intervention program in our existing MTSS behavioral program offered to Tier III (at-risk) students. I followed an intervention program to foster a growth mindset for …

Numerical Calculations Of The Electromagnetic And Gravitational Wave Signatures Of Unequal Mass Black Hole Binary Inspirals, Madeline Clyburn

All Dissertations

In 2015, the Laser Interferometer Gravitational-Wave Observatory (LIGO) measured the first gravitational waves (GWs) from the coalescence of two stellar-mass black holes. This detection marked a historic milestone in astrophysics, confirming general relativity and establishing the existence of gravitationally bound black holes. Since then, researchers have extended the search to even more massive black hole mergers. Recently, the International Pulsar Timing Array (IPTA), including the North American Nanohertz Observatory for Gravitational Waves (NANOGrav), detected a nanohertz GW background from supermassive black hole binaries (SMBHBs), black holes with masses M ≃10^7−10^9 M⊙ orbiting throughout the universe. However, a single SMBHB has …

Dual-Model Approach For Accurate Chest Disease Detection Using Gvit And Swin Transformer V2, Kamal Ahmad, Hafeez Ur Rehman, Babar Shah, Farman Ali, Irfan Hussain

All Works

The precise detection and localization of abnormalities in radiological images are very crucial for clinical diagnosis and treatment planning. To build reliable models, large and annotated datasets are required that contain disease labels and abnormality locations. Most of the time, radiologists face challenges in identifying and segmenting thoracic diseases such as COVID-19, Pneumonia, Tuberculosis, and lung cancer due to overlapping visual patterns in X-ray images. This study proposes a dual-model approach: Gated Vision Transformers (GViT) for classification and Swin Transformer V2 for segmentation and localization. GViT successfully identifies thoracic diseases that exhibit similar radiographic features, while Swin Transformer V2 maps …

Curvilinear Image Segmentation Using Multiscale Variational U-Net, Rebekah Fortes

LSU New Orleans Theses and Dissertations

Segmentation of curvilinear structures such as water contours, cracks in cement, and vascular networks in biomedical imaging, poses unique challenges due to extreme class imbalance, irregular morphology, low contrast against complex backgrounds, and the need to preserve global connectivity while detecting fine-scale details. We propose a Multiscale Variational U-Net (MSVU-Net) architecture designed specifically to address these challenges. The model integrates multiscale convolutional filters to capture both global context and local detail, while embedding a variational model in the bottleneck layer to enhance structural representation. To mitigate class imbalance and improve fidelity, the network optimizes a hybrid loss function that combines …

Coupled Machine Learning Models: Combining Observations And Numerical Analysis In A Physics-Regularized Approach, Austin B. Schmidt

LSU New Orleans Theses and Dissertations

This dissertation investigates surrogate modeling for fixed-location environmental forecasting using novel data-combination techniques. The work surveys the landscape of observational measurements and numerically generated data, identifying similar research and gaps in current methodologies. The ratio-coupled training framework is introduced to combine two data sources per predicted feature through a tunable parameter that weights training signal strength. An optimization scheme is developed to simultaneously tune surrogate weights and the coupled signal ratio, allowing relative influence between signals to act as an explicit regularizer. Three case studies demonstrate the methodology and approach in a variety of contexts. The first study is based …

Peptoid-Based Molecular Analysis Utilizing High-Speed Molecular Dynamics Methods, In Chul Hwang

LSU New Orleans Theses and Dissertations

Polypeptoids are N-substituted glycine polymers, which differ from peptides in the placement of the side chain being present on the amide nitrogen rather than the backbone C_α. While both peptoids and peptides are composed of linked amino acids, the structural changes resulting from the differing origin of the side chain leads to distinct backbone structure, as well as remove the chirality found in the peptide structure. These differences lead peptoids to have different physiochemical and biological properties, such as being resistant to proteolysis and diverse three-dimensional structures that are not observed in peptides. With the shifting of the …

G2pdeep-V2: A Web-Based Deep-Learning Framework For Phenotype Prediction And Biomarker Discovery For All Organisms Using Multi-Omics Data, Shuai Zeng, Trinath Adusumilli, Sania Zafar Awan, Manish Sridhar Immadi, Dong Xu, Trupti Joshi

Biomedical Sciences

Multi-omics data offers rich insights into complex traits across organisms, yet integrating and analyzing these datasets for phenotype prediction and marker discovery remains challenging. Researchers need accessible tools that combine deep learning, hyperparameter optimization, visualization, and downstream analysis in a unified web platform. To address this, we developed G2PDeep-v2, a web-based platform powered by deep learning for phenotype prediction and marker discovery from multi-omics data across a wide range of organisms, including humans and plants. The server provides multiple services for researchers to create deep-learning models through an interactive interface and train these models using an automated hyperparameter tuning algorithm …

Development And Validation Of A Thermal Model For An Electric Vehicle Transmission, Ghazal Rajabikhorasani

Dissertations

This research investigates the thermal behavior of a high-speed electric vehicle (EV) helical gearbox with the goal of improving the prediction accuracy of component temperatures and total power losses under a range of operating conditions. The study focuses on developing a physics-based lumped-parameter thermal network model capable of capturing the main heat generation and dissipation mechanisms within the transmission. The model integrates experimentally validated loss correlations for gears, bearings, seals, and churning, as well as convective and radiative heat transfer paths.

The thermal network model was coded in MATLAB and validated through a series of controlled experiments performed on an …

Development Of The Hydrogeology Concept Inventory And Exploration Of Its Embedded Spatial Thinking Components, Oluwarotimi Akindele Popoola

Dissertations

Hydrogeology is a sub-discipline of geoscience that deals with the occurrence and movement of water and possible contaminants within the subsurface. Understanding basic principles of hydrogeology is important for applying practical solutions to hydrogeology problems. Hydrogeology is a visuospatial discipline in which spatial thinking skills play a significant role. To assess the hydrogeology knowledge of students, a valid and reliable assessment instrument with spatial components is required.

This research was conducted as a series of quantitative studies with three goals: (1) to develop the Hydrogeology Concept Inventory (HCI), a valid and reliable measure of upper-level undergraduate students’ hydrogeology knowledge, (2) …

(R2115) Analysis Of Single Server Queueing System With Differentiated Vacations And Differentiated Breakdowns, V. Karthick, V. Suvitha

Applications and Applied Mathematics: An International Journal (AAM)

This research work considers a single server queueing model with differentiated vacations. In addition there is a possibility of two types of failures when the server is in a busy period; namely hard failure and soft failure. In the time of soft failure server may work with a slow service rate. We analyzed as a Quasi-Birth-and-Death (QBD) process, using the matrix geometric method, the steady state probability vector of the number of customers in the queue and the stability conditions are produced. Busy period analysis of the proposed model in given. The effects of various parameters on the system performance …