Digital Commons Network^™

Bridging Language And Game Worlds: Semantic Representations And Text-Driven Terrain Generation For Procedural Content, Zhongyu Xie

Electronic Theses and Dissertations

Procedural Content Generation (PCG) systems produce vast quantities of game levels, terrain, and environments, but lack semantic interfaces: no shared vocabulary exists between natural language, designer intent, and the structured representations generators operate on. This thesis addresses the language-content grounding gap in PCG through two complementary studies spanning semantic analysis and semantic synthesis. The first study introduces a group-supervised contrastive learning framework for semantic representation of symbolic PCG maps under many-to-one semantics, where visually distinct maps may share the same design intent. The framework combines parameter-guided semantic grouping, LLM-based caption augmentation, and a multi-positive contrastive objective that aligns language with …

Sustainable State: A Location-Based Analysis Of Recycling Habits On A University Campus, Valentyna Labrie

Electronic Theses and Dissertations

Universities are mini communities for the younger generation. Their role in advancing sustainable waste management practices is very valuable. That is why it is crucial to promote pro-environmental behavior, monitor consistent sorting accuracy, and maintain positive recycling indicators such as contamination and diversion rates. The research aim was to explore the impact of spatial context and visual communication strategies on recycling accuracy, contamination, and diversion rates at South Dakota State University (SDSU). The research analysed the impact of proximity to food service areas on waste composition. Another research interest was the impact of educational signage and stickers on recycling behavior …

Evaluating Supplementation Strategies Using Precision Livestock Technologies And Energy Based Models In Developing Beef Heifers Grazing Dormant Rangeland, Kali-Jo Bentz

Electronic Theses and Dissertations

Replacement beef heifer development in extensive grazing systems is challenged by variation in forage quality, supplement intake, and animal behavior, all of which influence the ability to achieve targeted growth prior to breeding. Precision livestock technologies (PLT) enable continuous monitoring of individual animal performance, while energy-based nutritional models support individualized supplementation. However, their application under extensive grazing conditions remains poorly understood. Therefore, the objectives of this thesis were to (1) evaluate heifer utilization of multiple precision livestock technologies and their relationship with animal performance and (2) evaluate the accuracy of an individualized energy-based supplementation model by comparing predicted supplement allotments …

Detecting Poisoning Attacks In The Rag Systems Using Multi-Tier Anomaly Detection, Somtochukwu Orizu

Electronic Theses and Dissertations

Retrieval-Augmented Generation (RAG) systems aim to enhance the capabilities of language models by retrieving external knowledge during inference. However, the process of retrieving knowledge introduces new security vulnerabilities to these models, specifically through the possibility of retrieval poisoning attacks in which adversarial documents are added to the system knowledge base to poison the language model’s responses. Although there have been a variety of defenses proposed for retrieval poisoning attacks, limited work has been done in the area of anomaly detection in embedding spaces as a general defense against multiple retrieval poisoning attack strategies. This thesis investigates two embedding-space anomaly detection …

Demographic Impact And Diagnostic Evaluation Of Mycoplasma Ovipneumoniae In Bighorn Sheep Of The Pine Ridge Badlands, Jeffrey Tillery

Electronic Theses and Dissertations

Mycoplasma ovipneumoniae (M. ovi) decimates bighorn sheep (Ovis canadensis) populations through acute die-offs followed by years or decades of failed lamb recruitment. Test-and-remove management has emerged as the primary intervention to restore population growth, and this thesis quantifies the demographic costs of endemic M. ovi infection and evaluates the diagnostic tools upon which this strategy depends. I quantified vital rates across five bighorn sheep subherds (four infected, one uninfected) on the Pine Ridge Reservation (2023–2025), supplemented by pre-outbreak data (2017–2018) from the North Unit of Badlands National Park. Infected subherds declined (λ = 0.965, 95% CrI: 0.813–1.039) while the uninfected …

Securing Smart Agriculture With Communication-Efficient Federated Unlearning, Ujjwal Pudasaini

Electronic Theses and Dissertations

This thesis addresses the data poisoning attack in smart agricultural systems using federated unlearning, where the contribution of compromised field devices must be removed from the global model under communication constraints. We propose FedSCAN, a three-phase framework that identifies critical layers based on parameter sensitivity, classifies active neurons within these layers through relative weight change analysis, and performs unlearning via sparse low-rank adaptation to active neurons while freezing base model parameters. FedSCAN limits computational overhead to a compact parameter subset, enabling devices to participate in a communication-efficient manner. Experimental results on four datasets demonstrate that FedSCAN achieves up to 426.3× …

Ai-Assisted Wheat Spike And Spikelet Detection And Density Mapping Using Multiscale Remote Sensing Data To Support Wheat Grain Yield Forecasting, Hillson Ghimire

Electronic Theses and Dissertations

Wheat grain yield is determined by the number of spikes per unit area, the number of grains per spike, and kernel weight. However, spike number and spikelets per spike are still measured predominantly through manual counting, a labor-intensive and subjective process that limits phenotyping throughput and selection intensity in modern wheat breeding programs. This thesis develops and evaluates a deep learning framework for automated, high-throughput phenotyping of wheat spike and spikelet traits across complementary imaging scales and implements the framework as a deployable platform. First, two large-scale benchmark datasets with oriented bounding box (OBB) annotations were established, comprising 48,521 spike …

Data-Driven Decision-Making Frameworks For Energy Procurement And Dynamic Pricing In Electric Vehicle Charging Networks, Pallavi Khanal

Electronic Theses and Dissertations

The continued growth of electric vehicles (EVs) is increasing the demand for charging infrastructure and creating new operational challenges for charging network operators (CNOs). Uncertainty in charging demand, electricity market prices, and user charging behavior can significantly impact both the economic performance and reliability of charging network operations. To address these challenges, this thesis develops an integrated data-driven framework that combines charging demand modeling, risk-aware energy procurement, machine learning, and reinforcement learning for intelligent EV charging network operation. The research begins by developing queueing-based models to characterize EV charging demand under time-varying and stochastic arrival conditions. Time-varying Mt/M/1 and Mt/M/c …

Detecting And Characterizing Latent Subpopulations Of Classes Via Mixture Models, Andrew Simpson

Electronic Theses and Dissertations

A class of problems in statistical pattern recognition exists in which there is high-dimensional data with few realizations per class, commonly referred to as few-shot learning. Data that arises in forensic source identification, which deals with providing a probabilistic value of evidence with regard to the source of some object, falls into this class of problems. Namely, the data is sampled from a hierarchical sampling process, lives in a high-dimensional space, the number of sources (or classes) tends towards infinity, and there are few observations per source. This can be thought of as a few-shot learning problem. Because of these …

Kindergarten Through Third-Grade Teachers’ Experiences With State-Level Literacy Coaching Support: A Phenomenological Qualitative Research Study, Nicole Hunter

Theses and Dissertations

This phenomenological qualitative applied dissertation was designed to provide insight into the experiences of kindergarten through third-grade general education teachers when supported by state-level literacy coaches. State-level literacy coaches are assigned to specific elementary schools and offer embedded professional development and professional learning opportunities to enhance literacy instruction and promote professional growth among elementary teachers. Although many kindergarten through third-grade general education teachers in literacy support schools see state-level coaching support as beneficial, some teachers deem this support as punitive and are reluctant to collaborate with coaches.

Teachers' experiences with literacy coaches have been viewed as a component in the …

Teacher Perceptions Of Social-Emotional And Behavioral Factors That Impede Preschool Adjustment, Allease J. Glamore

Theses and Dissertations

Children with behavioral and social-emotional challenges struggle to adjust to the preschool environment which places increased demands on preschool teachers to implement effective strategies. The purpose of the study was to assess teachers’ perceptions regarding social-emotional and behavioral factors implicated for successful preschool adjustment. The theoretical framework guiding this study is grounded in the integration of Bronfenbrenner’s ecological systems theory, social-emotional learning theory, and behavior theory. A case study design was used to examine the perceptions and use of social-emotional and behavior interventions and supports by four early childhood teachers across two programs.

Data were collected using qualitative in-depth one-on-one …

Mixed-Methods Study Of High School Teachers’ Perceived Training, Self-Efficacy, And Assessment Competencies In Online Courses, Chantell Radford

Theses and Dissertations

The problem in this study was that, in a large urban school district in South Florida, the online high school teachers’ training, self-efficacy, and assessment competencies in courses required enhancement. The purpose of this study was to examine the perceptions of high school teachers on their training, self-efficacy, and assessment competency in online courses.

Twenty high school online teachers participated in the study. Recruitment occurred through a link posted on Facebook and LinkedIn. The design (sequential explanatory mixed-methods design) aligned with the five research questions. Two instruments (survey and questionnaire) were used to collect data. Quantitative data analyis occurred with …

A Qualitative Study Of Teacher Perceptions Of Reading Proficiency, Latia Tyler

Theses and Dissertations

This applied qualitative dissertation was constructed to provide insight into the experiences of teachers who provide reading instruction for third grade students at the target school. Seven teachers engaged in semi structured interviews that sought to examine their perceptions on their abilities in teaching reading instruction, their perception on school supports, their perceptions on reading proficiency and factors that contribute to it. Additionally, comprehensive reading plans, published by the state of Florida, were examined to further understand the perceptions of teachers alongside district intended approach for reading instruction.

Thematic analysis of data revealed eight key themes including gaps in foundational …

Improving Middle School Students’ Scores On Math Word Problems Through Reading Comprehension, Diane M. Burgess

Theses and Dissertations

This applied dissertation was designed to address the poor performance of middle school students on math word problems attributed to the lack of reading comprehension skills. A review of standardized math assessments for middle school students confirmed that the greater proportion of questions is made up of word problems. Despite having strong mathematical skills, middle school students are likely to fail to find the correct solutions for math word problems. In the middle school classroom, the development of reading comprehension skills and mathematical abilities are tasks required of different teachers. Math teachers at a middle school in Florida did not …

Teachers’ Experiences Implementing An Ai-Supported Reading Program In Kindergarten Through Grade 2: A Generic Qualitative Study, Janet Harrell

Theses and Dissertations

This applied dissertation was completed to explore kindergarten through grade 2 teachers’ experiences implementing an artificial intelligence (AI)-supported reading program during literacy instruction. Guided by a generic qualitative design, the study was designed to examine how teachers prepared to use the program, integrated it into daily literacy instruction, used AI-generated data to inform instructional decision-making, and experienced the instructional and contextual conditions that supported or hindered implementation. Purposeful sampling was used to recruit 10 kindergarten through grade 2 teachers with experience using Amira Learning. Data were collected through semi structured interviews and analyzed using thematic analysis.

Four themes emerged from …

The Implementation Of Small Group Direct Instruction For Reading Domains Of Second- Grade Students, Tarmeka Smith-Bennett

Theses and Dissertations

This applied dissertation explored how implementing small-group direct instruction in an elementary school setting affected the reading performance of second-grade students. The study examined how organized small-group direct instruction can elevate students’ reading achievement in phonics, vocabulary, and reading comprehension. Over a six week instructional period, a mixed-methods research design was used to collect quantitative and qualitative data.

Pretest and posttest students’ reading assessments were collected using quantitative data, while teachers' weekly reflections and surveys were collected using qualitative data. A total of 30 students identified as struggling readers, and three second-grade teachers who implemented small-group direct instruction participated in …

Teachers’ Perceptions Of The Decline In Reading Scores Among Fourth- And Fifth-Grade Students, Brigetta Foules-Sims

Theses and Dissertations

The purpose of this qualitative instrumental case study was to explore teachers’ perceptions of the factors contributing to the decline in reading achievement among fourth- and fifth-grade students in a rural elementary school in a southern state. The study explored teachers’ perceptions of the causes of declining reading performance, the instructional challenges they encounter when addressing reading difficulties, and the resources and supports they believe are necessary to improve student outcomes.

Data were collected through semi structured interviews with eight certified fourth- and fifth-grade teachers. Five themes emerged from the data: (a) increasing academic demands reveal foundational reading gaps, (b) …

In Its Right Mind - Governance Of Social Superintelligence, David Filippi, Bill Tomlinson, Andrew W. Torrance

FIU Law Review

This Comment argues that a broad presumption of public access to court  documents is essential to preserving the legitimacy and constitutional values  of the American legal system. Although the principle of public access is  rooted in common law and constitutional tradition, individual states differ in  how they approach transparency in the context of court documents. These  jurisdictional inconsistencies continue to gain significance, as the digital age  has completely transformed the way people consume information. The  increasing digitization of court records has heightened the need for consistent  and constitutionally grounded standards that preserve transparency while  adequately protecting legitimate privacy interests. Florida’s …

Advancing Multi-Modal Learning, Swetha Sirnam

Graduate Studies Theses and Dissertations 2026

Multimodal learning aims to develop systems that understand and reason across multiple sources of information such as images, videos, audio, and text. These capabilities are central to applications including visual search, digital assistants, robotics, and visual question answering. Despite recent progress in multimodal large language models, current approaches struggle to capture the structured complexity of real-world visual data. Fine-grained visual details are often lost during multimodal alignment, models frequently fail to capture nuanced human intent, and existing methods remain limited in understanding long-form videos with complex temporal dynamics. Furthermore, many evaluation benchmarks rely heavily on explicit visual cues, which can …

Nh 4-H Horse Quiz Bowl Packet, Unh Cooperative Extension

UNH Cooperative Extension

No abstract provided.

Autoethnography On Being A Queer Science Teacher In The Midwest, Emily Gomez

Graduate Research Papers

The purpose of this paper is to analyze the experiences of a queer teacher in the Midwest. It examines how my identity, community, and professional practice intersect within the schools I taught that had traditional cultural norms. Through analysis of key moments in my personal journals and school emails, this study highlights the complexities of navigating visibility, safety, and authenticity in the classroom while teaching science.

The research examines experiences in teaching science and advocating for Lesbian, Gay, Bisexual, Transgender, and Queer (LGBTQ+) inclusion, including the formation of a student organization, the Gay–Straight Alliance (GSA). The data provides insight into …

Ne 4-H Horse Show Bit And Spur Rules And Guidelines, Hannah Majewski, Extension

UNH Cooperative Extension

No abstract provided.

What Is Nh 4-H Agri-Science Quiz Bowl, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Ne 4-H Horse Forms And Scoresheets 2026, Hannah Majewski, 4-H

UNH Cooperative Extension

No abstract provided.

Do-Reflect-Apply In The Ring, Hannah Majewski

UNH Cooperative Extension

No abstract provided.

Increasing Actuation Authority And Bandwidth For Aeromechanics Testing: A Piezoelectric-Based Approach, Sydney A. Giannuzzi

Graduate Studies Theses and Dissertations 2026

Flutter in turbomachinery poses significant risks to aerospace systems, requiring accurate identification of flutter boundaries to ensure operational safety. Traditional binary “flutter / no flutter” testing methods provide limited data without error margins. Aeromechanical Identification Methodology (AIM) offers a safer alternative by mapping aeromechanical damping across operational conditions using non-contact excitation. However, current AIM actuators are constrained to excitation frequencies below 500 Hz, limiting their effectiveness and applicability. To bridge this gap, this research analyzed and validated performance of a novel piezoelectric-based oscillatory flow injection valve (NOVA) designed to deliver high-bandwidth, high-authority actuation for expanded flutter boundary mapping.

NOVA was …

Governing Harm: Three Essays On Anti-Lgbtq+ Legislation In The United States, Kathryn Hickey

Graduate Studies Theses and Dissertations 2026

In the United States, over 140 state bills were passed between 2014 and 2024 that directly targeted the lives of LGBTQ+ individuals. Drawing on administrative evil and the minority stress model, this dissertation demonstrates how policy environments that normalize discrimination through the passage of anti-LGBTQ+ legislation can lead to devastating consequences. Using a three-essay format, the first study conducts a qualitative content analysis of state level anti-LGBTQ+ laws passed between 2015 and 2024 to identify how administrative evil is woven into the language of the legislation. The results of this analysis show these laws systematically dehumanize LGBTQ+ individuals, restrict their …

Deceptive Design And Disability: How Dark Patterns Affect Users With Visual Impairments, Konstantin Metz

Graduate Studies Theses and Dissertations 2026

Dark patterns are deceptive interface designs that steer users toward unintended actions, often at financial or privacy cost. This thesis examines how those that are vision impaired are at greater risk of these dark patterns given their visual acuity deficit. We conducted semi structured interviews with nine participants across common contexts including e-commerce checkout, subscription and cancellation flows, software download pages, and mobile permission prompts. The data show recurring exposure to dark patterns such as hidden or de-emphasized fees, pre-selected add-ons, deceptive advertising and fake download buttons along with unequal consent paths, repeated permission nagging, and cancellation friction. Participants reported …

Come And See: Exploring Complex Dynamics And Abjection Through A Southern Gothic Family Portrait, Lenee N. Peterson

Graduate Studies Theses and Dissertations 2026

“COME AND SEE: Exploring Abject Theory Through a Southern Gothic Family Portrait” examines the artist’s complex familial upbringing through the visual and narrative traditions of Southern Gothic art. Drawing upon abject theory and the cultural references of folk horror and Southern Gothicism, this thesis positions the family portrait where intimacy, trauma, and cultural inheritance collide. The project argues that direct confrontation with abjection can foster recognition, shared experience, and the possibility of collective healing. Grounded in practice-based research, this work functions as a critical and creative response to familial strain shaped by scarcity, social oppression, and emotional precarity. Through a …

Modeling Hazard Perception Learning In Novice Drivers With Autism: A Multimodal Simulation-Based Study, Erik J. Sand

Graduate Studies Theses and Dissertations 2026

Young drivers with autism spectrum disorder (ASD) often demonstrate difficulties with road-surveillance behaviors such as scanning ahead, monitoring mirrors, and identifying emerging hazards. These challenges can increase crash risk, particularly for adolescents with limited driving experience. This study explored whether a simple, video-game–based hazard-training program could improve hazard detection performance, visual scanning, and self-regulation in this population. Five participants aged 15–18 years, each identified by a parent as having ASD and possessing either a learner’s permit or no license, completed sequential Baseline, three Treatment, and Withdrawal phases using the SpeedLimit driving simulation. The study employed a single-case experimental design with …