Digital Commons Network^™

Arrival Is Not Access, Emmanuel Asamoah

School of Art, Art History, and Design: Theses and Student Creative Work

This thesis presents a group of sculptures and installations that explore how material, labor, and communication shape unequal access in diasporic life. It questions the common belief that movement, visibility, or relocation automatically leads to stability, care, or belonging. In my experience, arrival does not guarantee access. Using clay, steel and found materials, I create tension between softness and control. Many of these materials are worn and discarded. I cut and rebuild them, leaving marks of strain and repair visible rather than hiding them.

Repetition appears through rows of cast faces and a collection of telephones. These forms suggest shared …

Assessment Of Precision Rangeland Management Tools In The Nebraska Sandhills, Hannah K. Allen

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

The objective of this thesis is to evaluate tools and management strategies that contribute to rangeland monitoring and livestock distribution in heterogeneous grassland systems of the Nebraska Sandhills. Chapter one reviews relevant literature related to precision livestock management, the Nebraska Sandhills, biomass estimation, and pyric herbivory. The second chapter evaluates the use of fractional green canopy cover (FGCC) derived from the Canopeo mobile application as a rapid method for estimating aboveground biomass in Sandhills rangelands. Biomass samples were collected across topographic positions in both early and late growing season, and relationships between FGCC and clipped biomass were assessed using generalized …

Caries Risk Assessment As The Strongest Predictor Of Oral Health–Related Quality Of Life: A Cross-Sectional Multivariate Study Of Adolescent Students, Fadil Abdillah Arifin, Mila Febriany, Husnah Husein, Eva Novawaty

Journal of Dentomaxillofacial Science

Objective: This study aimed to determine the factors associated with oral health–related quality of life (OHRQoL) among adolescent students, with a particular focus on identifying the strongest predictor using a multivariate analytical approach.

Material and Methods: A cross-sectional study with 249 adolescent students in Sekolah Menengah Pertama Negeri 54 Makassar, Indonesia, was conducted. Clinical examinations were performed to assess dental caries experience using the Decayed, Missing, and Filled Teeth index (DMF-T), oral hygiene status using the Oral Hygiene Index–Simplified (OHI-S), Body Mass Index (BMI), sex, and caries risk level using the Caries Risk Assessment (CRA) tool, categorized into low, medium, …

Immediate Antibacterial Effect Of Sargassum Binderi-Based Mouthwash: A Randomized Controlled Trial, Andre K. Ruslim, Nisrina E. Nasrun, Muhammad I. Rasul, Nurlindah Hamrun, Lenni Indriani, Muhammad H. Chandha, Vera Julia, Muhammad Ruslin

Journal of Dentomaxillofacial Science

Objective: The current randomized controlled trial evaluated the immediate effect of a Sargassum binderi-based mouthwash on the reduction of cultivable oral bacteria compared with control.

Methods: In the current randomized controlled trial, 30 individuals were screened for eligibility, of whom 14 met the inclusion criteria and were randomly assigned to receive either a Sargassum binderi-based mouthwash or chlorhexidine 0.2%. Immediate post-rinse sampling was performed; however, residual antimicrobial carryover could not be entirely excluded. The total cultivable oral bacterial load was quantified at baseline and following intervention using standard culture-based techniques. Baseline bacterial composition was characterized using the analytical profile …

Effects Of Ethanol On Opg Expression, Osteoclasts, And Osteoblasts During Orthodontic Tooth Movement In Wistar Rats: An Experimental Study, Nadia Setiawati Widjaja, Ardiansyah S. Pawinru, Nasyrah Hidayati, Eddy Heriyanto Habar, Eka Erwansyah, Baharuddin M. Ranggang, Ita Purnama Alwi

Journal of Dentomaxillofacial Science

Objective: This research sought to assess how ethanol influences the expression of osteoprotegerin (OPG) and the number of osteoclasts and osteoblasts during alveolar bone remodeling associated with orthodontic tooth movement.

Materials and Methods: A laboratory-based experimental study was conducted using 30 male Wistar rats. Palatal movement of the maxillary incisors was induced using a nickel–titanium (NiTi) closed coil spring applied to the maxillary arch. Rats were randomly divided into two groups: a control group (CG) receiving orthodontic force only, and an experimental group (EG) receiving both orthodontic force and ethanol administration. Observations were conducted on days 0, 3, and 14. …

Semat: Semantic Enhanced Natural Image Interactive Matting, Ruihao Xia, Yu Liang, Peng-Tao Jiang, Hao Zhang, Qianru Sun, Yang Tang, Bo Li, Pan Zhou

Research Collection School Of Computing and Information Systems

Recent approaches attempt to adapt powerful interactive segmentation models, such as SAM, to interactive matting and fine-tune the models based on synthetic matting datasets. However, models trained on synthetic data fail to generalize to complex and occlusion scenes. We address this challenge by proposing a new matting dataset based on the COCO dataset, namely COCO-Matting. It selects real-world complex images from COCO and converts semantic segmentation masks to matting labels. The built COCO-Matting comprises an extensive collection of 36,980 human instance-level alpha mattes in complex natural scenarios. Furthermore, existing SAM-based matting methods extract intermediate features and masks from a frozen …

Bridging Bug Localization And Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models, Jianming Chang, Xin Zhou, Lulu Wang, David Lo, Bixin Li

Research Collection School Of Computing and Information Systems

Automated issue fixing is a critical task in software debugging and has recently garnered significant attention from academia and industry. However, existing fixing techniques predominantly focus on the repair phase, often overlooking the importance of improving the preceding bug localization phase. As a foundational step in issue fixing, bug localization plays a pivotal role in determining the overall effectiveness of the entire process. To enhance the precision of issue fixing by accurately identifying bug locations in large-scale projects, this paper presents BugCerberus, the first hierarchical bug localization framework powered by three customized large language models. First, BugCerberus analyzes intermediate representations …

Evolution Of Antibiotic Responses During Chronic P. Aeruginosa Infections In The Human Lung, David Frank Ritz

Dartmouth College Ph.D Dissertations

Typical antibiotic susceptibility testing (AST) of microbial samples is performed in homogeneous cultures in batch environments, which does not account for the highly heterogeneous and dynamic nature of antibiotic responses. The most common mutation found in P. aeruginosa lineages evolved during chronic cystic fibrosis infections in the human lung, a loss of function of repressor MexZ, increases basal levels of multidrug efflux MexXY, but does not increase resistance by traditional minimal inhibitory concentration (MIC) assays. Here, we use single cell microfluidics to show that P. aeruginosa’s response to aminoglycosides is highly heterogeneous, with only a subpopulation of cells surviving exposure. …

Electron Microburst Precipitation In Earth's Upper Atmosphere, Kelly Cantwell

Dartmouth College Ph.D Dissertations

Electron microburst precipitation can be a significant and prevalent source of electron loss from Earth's radiation belts into the upper atmosphere. This precipitation has been of interest since its discovery in the 1960's, and the continued progression of experimental capabilities has allowed for new and comprehensive analysis to be conducted on this phenomenon. The \af{barrel} mission was able to remotely sense microburst precipitation in both Northern and Southern hemispheres. In this thesis, I have written an automated detection algorithm with which 38 microburst events (with each event containing tens to tens of thousands of individual microbursts) were detected in the …

Moral Repair, Forgiveness, And Collective Minds, Songzhi Wu

Dartmouth College Ph.D Dissertations

Human lives are increasingly shaped by collective entities (e.g., corporations, governments, nonprofits) that make consequential decisions and evoke trust, blame, and praise. Yet how people perceive and relate to these non-individual agents remains underexplored. This dissertation investigates collective mind perception, moral repair, and forgiveness across three chapters using experimental, neuroimaging, and corpus-based methods.

Chapter 1 examines how collective entities repair their moral standing after wrongdoing. Across four studies, agentic cues such as responsibility-taking and corrective plans consistently outperform experiential expressions such as remorse in eliciting forgiveness toward organizational transgressors. Agentic apologies also reshape memory: participants recall the apology content more …

Advancement And Characterization Of Next-Generation Solid-State Photon-Counting Image Sensors For Astrophysics Applications, Nicholas R. Shade

Dartmouth College Ph.D Dissertations

Astronomers’ pursuit of detecting light from increasingly faint and distant objects in the expanse of space necessitates continuous improvement in signal-to-noise ratio of camera technology. Recent advancements in solid-state detector technologies have enabled the determination of photon-number, including single photon events, enabling observations at the fundamental limits of physics. These developments are instrumental not only for standard two-dimensional imaging but also for advanced spectroscopy, which increasingly drives future astrophysical applications. This thesis presents an evaluation of three next-generation silicon-based detectors capable of photon-counting with deep-sub-electron input-referred read noise: the electron-multiplying charge-coupled device (EMCCD), the single-photon avalanche diode (SPAD), and the …

Hybrid Portfolio Optimization With Pca, Clustering, And The Barzilai-Borwein Method, Shin Chiew Kai, Yeing Pan Wei, Seng Sim Hong, Hou Chin Jia, Jia Lee Yap

Malaysian Journal of Computing (MJoC)

Portfolio optimization aims to balance risk and return by identifying an effective mix of assets. In this study, we integrate principal component analysis (PCA) and hierarchical clustering for stock selection with the Barzilai–Borwein (BB) gradient method for portfolio optimization. Forty-eight U.S. stocks from the Kaggle fundamental stock dataset were initially collected, and 42 stocks were retained after preprocessing. Financial ratios from 2006 and adjusted closing prices from 2016–2017 were analysed, with one representative stock from each cluster selected using the Sharpe ratio. The BB method was then applied to determine optimal weights, ensuring full capital allocation without short selling. Among …

Influence Of Coriolis Force On Controlled Double-Diffusive Marangoni Convection In Nanofluid Layers, Izzati Khalidah Khalid, Ahmad Syukri Mohd Shukor, Mohd Rijal Ilias, Nurul Hafizah Zainal Abidin, Bekzodjon Fayziev

Malaysian Journal of Computing (MJoC)

Controlled double-diffusive Marangoni convection in a rotating nanofluid layer, heated from below, is studied. Various types of lower-upper boundary conditions, including free-free and rigid-free, are considered. The nanofluids model incorporates the mechanisms of Brownian motion and thermophoresis in nanofluids. The stability of the nanofluids model is analysed using a linear stability analysis based on the normal mode technique. The eigenvalue problem is numerically solved using the Galerkin technique and computational simulations are carried out using Maple software. The influences of several parameters are examined and presented graphically, including modified diffusivity ratio, nanoparticles concentration, solutal Rayleigh number and Soret effects. These …

Teacher Readiness And Attitudes Toward Digital Technology In Mathematics Classrooms, Nor Anis Amierah Mhd Pizor, Zarith Sofiah Othman

Malaysian Journal of Computing (MJoC)

This study explores how digital technology is integrated into mathematics education, focusing on the views of secondary school mathematics teachers and using a quantitative research method through a survey. Descriptive and inferential statistical analyses were performed to examine the factors influencing technology adoption, identify its barriers, and suggest strategies for enhancement. The novelty of this study lies in its development of an integrated perspective that simultaneously examines teachers’ readiness, experiential background, and attitudes alongside systemic constraints such as training, resource availability, and institutional support within the context of mathematics education. However, challenges such as inadequate training, limited resources, and lack …

An Ultrafine-Resolution Numerical Investigation Of The Influence Of Terrain On Tornado Behavior, Jiamin Dang, Jana Houser, Leigh Orf, Peng Yue, Guirong Yan

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

This study investigates the effects of idealized and realistic terrain on tornado characteristics and behavior. It uses a novel simulation approach, nesting a high-fidelity, ultrafine-resolution, tornado-scale, engineering large-eddy simulation (LES) within a Cloud Model 1 (CM1) simulation of a tornadic supercell. We analyze the effects of terrain on the tornado's central pressure, horizontal and vertical velocities, vortex shape, and path. Seven idealized terrain configurations are used including 1) a control run with flat ground, 2) and 3) an idealized hill with steep and gradual slopes having the height of 25.4 m, 4) and 5) an idealized escarpment with steep and …

Dark Critiques Of Victorian Identity: The Picture Of Dorian Gray And The Turn Of The Screw, Shania T. Inshan

Student Theses and Dissertations

My thesis highlights the relationship between beauty, art, and identity through a gothic lens using The Picture of Dorian Gray by Oscar Wilde and The Turn of the Screw by Henry James. I argue that beauty and art fail to sustain innocence and life itself through an exploration of the progressively corrupt identities of the central characters in each novel. Additionally, I find that both authors challenge common conventions of art, beauty, adolescence, and gender of 19th-century British society and expand the list of factors that comprise identity. James’s narrator diverges from the model of the ideal governess and Wilde’s …

Trade Liberalization Under Safta And Bimstec: Evidence From A Cge-Gtap Case Study Of A Small Open Economy, Gita Bhushal, Pankaj Lal

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Regional trade liberalization via preferential agreements increasingly shapes economic outcomes in small open economies embedded in overlapping regional frameworks. This study evaluates the short-run economy-wide effects of tariff and non-tariff measure (NTM) reforms under the South Asian Free Trade Area (SAFTA) and the Bay of Bengal Initiative for Multi-Sectoral Technical and Economic Cooperation (BIMSTEC) using a Computable General Equilibrium (CGE) model calibrated to the GTAP 10 database. Gravity-based estimates of ad valorem equivalents (AVEs) of NTMs are integrated into the CGE framework, enabling explicit modeling of regulatory barriers alongside tariff reductions. Policy simulations examine scenarios involving a 90 percent tariff …

Determinants Of Future Suas Adoption: An Empirical Analysis Of Organizational And Behavioral Factors Within The Commercial Aviation Maintenance Enterprise, Jordan Baus

Doctoral Dissertations and Master's Theses

The adoption of small Uncrewed Aircraft Systems (sUAS) represents a significant technological shift within the commercial aviation maintenance enterprise, offering the potential to improve inspection accuracy, enhance operational efficiency, and reduce maintenance-related risk. Despite these anticipated benefits, adoption intentions remain vague, influenced by a complex interplay of organizational structures, behavioral factors, and workforce perceptions. Limited empirical research has examined how these dynamics shape the willingness to adopt sUAS within highly regulated and institutionalized aviation maintenance environments. This study investigates the determinants of future sUAS adoption through an extension of the Unified Theory of Acceptance and Use of Technology 2 (UTAUT …

Scenarioxp: A Complete Scenario-Based Testing Framework For The Exploration And Exploitation Of Autonomous Vehicle Validation Scenarios, Quentin Goss

Doctoral Dissertations and Master's Theses

Today is an age of exciting emerging technology where cutting-edge research in autonomous vehicles (AVs) reduces the active human participation in driving and extends awareness beyond human limitations of perception and reaction, improving driving safety and quality of the user experience as a result. The ever-increasing complexity of these autonomous systems poses many challenges towards the validation and verification (V\&V) of these complex systems under time and resource constraints, as the use of artificial intelligence and also the intricacy of the operating environment means that these systems are also black-box and non-deterministic. Scenario-based V\&V testing of such systems, which involves …

Insect Inspired Behavioral Strategies For Improving Multi-Agent System Resilience In The Presence Of Contagious Faults, James E. Hand

Doctoral Dissertations and Master's Theses

As Multi-Agent Systems (MASs) become increasingly involved in every aspect of everyday life the need to maintain reliability and resilience within these systems grows. However, in equal measure bad actors wishing to maliciously control or alter these systems are growing in both scale and capability. Thus, there is a present need for control schemes and agent behaviors that provide security against these threats while also avoiding large degradation in system performance as a tradeoff. Current research has covered a wide breadth of avenues and strategies that provide measurable resilience to faulted agents. However, these strategies often require group consensus, specialized …

Enhancing Undergraduate Learning In Physics: The Effects Of Ai-Assisted And Ai-Guided Instruction On Knowledge, Self-Efficacy, And Satisfaction, Stephen Woods

Doctoral Dissertations and Master's Theses

Generative artificial intelligence (AI) tools such as large language models are increasingly used for self-directed learning, yet there is limited experimental evidence on whether they improve learning outcomes and whether theory-informed guidance adds value beyond AI use alone. Prior literature suggests that effective learning depends not only on access to information, but also on how instruction supports attention, working memory, long-term memory, and cognitive load, while also fostering motivational processes such as self-efficacy. Individual differences such as Need for Cognition may also shape how learners engage with cognitively demanding instructional tools such as AI.

The present study examined how different …

Ellie - Exteroceptive Light Locomotion In Eukaryote-Fungi, Brandon Etwarroo

Doctoral Dissertations and Master's Theses

Over the past decade, fungal research and its technological applications have expanded across multiple disciplines, including the emerging field of biohybrid systems. This thesis develops and evaluates a wireless, untethered mobile robot controlled by the action potential-like activity generated by Pleurotus ostreatus sporocarps under red, green, and blue optical stimulation. Light is applied to the sporocarps, the resulting electrical responses are recorded, and these signals are transmitted wirelessly to actuate the mobile robot. Both the action potential-like activity patterns and the robot’s movement trajectories were analyzed. The results demonstrate that wireless robotic control mediated by fungal electrophysiology is feasible. Overall, …

Effect Of Nozzle Pressure Ratio On Thrust And Flow Behavior In A Supersonic De Laval Nozzle, Esha Jain

Doctoral Dissertations and Master's Theses

Supersonic nozzles operate across a range of flow regimes. While an ideally expanded condition yields optimal thrust, practical propulsion systems rarely operate at this design point due to variations in altitude and engine operating conditions. As a result, nozzles frequently operate in off-design conditions. In overexpanded regime, where the exit pressure is lower than the ambient pressure, shock-induced separation may occur within the divergent section of the nozzle, potentially degrading nozzle performance. Understanding the aerodynamic behavior of nozzles operating under off-design conditions is therefore important for improving propulsion system performance and stability. In particular, direct thrust measurements provide a key …

Intelligent Flight Control Systems Using Adaptive Deep Neural Networks And Concurrent Learning-Based Design Methods, Maddox C. Morrison

Doctoral Dissertations and Master's Theses

This thesis investigates deep neural network (DNN)-based adaptive control strategies for unmanned aerial vehicles (UAVs) operating under aerodynamic uncertainty and complex actuator dynamics.

The first contribution presents a control strategy employing a concurrent learning (CL)-based DNN training algorithm, which combines online adaptive DNN weight adaptation with offline batch-like training updates using a recorded data stack. The analysis focuses on the closed-loop performance improvements resulting from the use of optimum CL data-selection algorithms, which ensure that the recorded data stack maintains sufficient data diversity to provide a statistically meaningful representation of the operating conditions using a reduced data set. Specifically, this …

Study Of Output And Behavior Of Llms Using Confidence Framing In Prompt Engineering, Micah Parrilla

Doctoral Dissertations and Master's Theses

While prompt engineering is pivotal for shaping Large Language Model (LLM) outputs, the impact of confidence framing on behavioral calibration remains underexplored. This study investigates the ways in which psychological framing, utilizing techniques such as capability praise, role amplification, and doubt induction, affects linguistic tone, objective accuracy, and internal calibration. A 1,080-trial experimental matrix evaluated six diverse models across factual, logical, coding, and cyber security domains. Analysis using the Kruskal-Wallis H-test revealed highly significant behavioral shifts across all measured dimensions, providing conclusive evidence that the applied frames exert a substantial influence on model performance.

The findings identify a distinct cognitive …

Low-Complexity Structured Neural Networks And Their Usage In Image And Signal Processing, Adam Kuzmicki

Doctoral Dissertations and Master's Theses

Conventional neural networks face significant challenges due to high computational costs, large parameter counts, and reliance on backpropagation, which restricts their application in resource-constrained and real-time settings. To address these challenges, this thesis proposes three structured neural network (NN) architectures grounded in the theories of sparse and self-contained factorizations of transforms, with applications to image compression, reconstruction, classification, encryption, and also adaptive wideband multi-beam beamforming. The first neural network architecture, named DCTrix-Net, replaces conventional spatial con- volution with highly sparse factorization of the discrete Cosine transform (DCT) complemented by Toeplitz-structured weight initialization, achieving at least 97% FLOP reduction over CNNs, …

Optimizing Virtual Scrolling Performance In Angular: A Comparative Study Of Cdk And Custom Implementation, Guri Sokoli

Theses

Modern web applications often display large datasets with tens of thousands of items, such as e-commerce catalogs, data tables, and social media feeds. Rendering all items in the Document Object Model (DOM) at once causes browser freezing, high memory use, and slow interfaces. Virtual scrolling solves this problem. It is widely adopted but rarely studied through direct performance comparison. Few empirical studies measure how different implementations behave under varying dataset sizes, devices, or browsers. This research conducts a comparative analysis of Angular CDK Virtual Scroll as an industry-standard baseline and develops an optimized implementation incorporating framework-specific enhancements: OnPush change detection …

Dissent By Design: Graphic Communication And The Continuity Of Resistance As A Civic Practice In The United States, Ryan "Rain" Milligan

Theses

Graphic communication has played a role in shaping civic life in the United States throughout much of its history, influencing how individuals recognize injustice, understand systems of power, and participate in collective action. Typically associated with moments of protest or political upheaval, printed materials such as pamphlets, broadsides, newspapers, and posters have also functioned as everyday tools that structure public engagement. This project examines these materials through the framework of agitation, education, and organization, considering how graphic communication operates across different historical contexts to provoke recognition, make complex ideas accessible, and coordinate collective effort. Drawing from a range of historical …

In-Context Retrieval For Molecules And Chemical Synthesis Pathways, Abhisek Dey

Theses

Contrastive learning methods require well-defined positive pairs, limiting their applicability to domains where complete, high-fidelity pairings are available. In practice, large-scale scientific corpora --including patents, publications, and web-scale data -- contain vast quantities of contextually relevant but incompletely paired samples that are discarded under standard training paradigms. In this work, we demonstrate that hard negative mining can be leveraged to construct pseudo-positive supervision signals from unpaired or partially paired data, enabling contrastive learning to exploit the full breadth of available corpora without sacrificing representational quality. Using a large-scale chemical drug patent corpus as a testbed, we train a cross-modal contrastive …

Effect Of Geometry, Cell Size, And Carbon Fiber Reinforcement On The Charpy Impact Strength Of Additively Manufactured Tpms Lattice Structures, Ahmed Yousuf Mohammad Bin Yaroof (Alsuwaidi)

Theses

Scientific research indicates a growing utilization of lightweight, high-performance materials across various disciplines, including engineering, driven by the demands of modern technological advancements. Recent developments within these fields include the creation of advanced lattice structures through additive manufacturing (AM) processes. One such lattice structure is the triply periodic minimal surface (TPMS) structure. TPMS structures possess unique mechanical properties and energy absorption characteristics that distinguish them from conventional AM lattice structures. However, published research to date has largely focused on the quasi-static behavior of TPMS structures, with limited attention given to the impact performance of composite- reinforced TPMS structures. The purpose …