Digital Commons Network^™

When Are Two Polygons Fold Congruent?, Elena Ruiz, Benjamin Walden Philippi, Lucy Watson, Adam Cartisano

SPARK Symposium Presentations

Hilbert's Third Problem, presented in 1900, asked: given two polyhedra of equal volume, are they scissors-congruent? That is, can one always be cut into a finite number of pieces and be reassembled into the other?  In two dimensions, it is clear that two polygons have equal area if they are scissors congruent, but the converse was proved in 1807. The parallels between flat origami and polygonal decomposition suggest a common framework, which motivates us to define a notion of fold-congruence. We pose the question: are two polygons of equal area always fold-congruent? In this talk, we discuss preliminary investigations into …

Cedarstone Arts Foundation Marketing And Media, Emmy-Kate Arnett, Amelia Bailly, Charlie Condra, Lorelai Lysaght

SPARK Symposium Presentations

For our project, we collaborated with Cedarstone Arts Foundation, a non-profit centered on providing free music education and instruments to childhood cancer patients. Our goal was to create social media platforms for the foundation and develop a key marketing strategy via said platforms, with the desired outcome of increased exposure and donations. To achieve our goal, we researched the most relevant media outlets for advertising. We helped create high-quality content that would raise awareness for their cause. We developed a general template for posting so that the foundation could confidently continue this strategy for the foreseeable future. We consulted with …

Dirges Of Hope, Manasseh Azure Awuni

Department of English: Dissertations, Theses, and Student Research

Among the varied themes that African fiction explores, politics and governance remain the most dominant across generations. Writing under oppressive and exploitative colonial administrations, the first generation of African storytellers used fiction to highlight the injustice of colonial rule. With fidelity to the African proverb that says the tales of hunting will always glorify the hunter until the lion learns to tell its own stories, African writers also used fiction to push back against one-sided, toxic narratives about the continent. After independence, when rulers of the new republics continued the colonial legacies of oppression, inflicting untold hardships on their citizens, …

Detection And Quantification Of Allergen Cross-Contact In Shared Frying Oil Using Targeted Mass Spectrometry, Francisca Asigri

Department of Food Science and Technology: Dissertations, Theses, and Student Research

Cow’s milk and egg allergies are prevalent IgE-mediated food allergies that pose significant public health concerns worldwide. Although strict avoidance remains the primary management strategy, unintended exposure can still occur through allergen cross-contact, particularly in commercial and industrial food operations that utilize shared frying oils. The objective of this study was to identify and quantify allergen transfer in shared frying oil and assess the robustness of existing targeted mass spectrometry methods (LC-MS/MS) for detecting milk and egg proteins in heated oil matrices.

Heated oil spikes were developed by incorporating non-fat dry milk (NFDM) and whole egg powder (WEP) into oil …

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 …

Wharton's Duct Injury As A Complication Of Oral Surgery And Its Management: A Clinical Case Report, María Paulina Araneda, Zabiel A. Faundez, Martin A. Sanchez, Pablo Romero, Ramon A. Rivera

Journal of Dentomaxillofacial Science

Introduction: Oral surgery may be associated with intraoperative complications, such as nerve injury, hemorrhage, and other procedure-related adverse events. Wharton's duct laceration is an uncommon but significant complication involving the floor of the mouth. Owing to the region's anatomical complexity, unrecognized injuries may affect gland function and patient well-being.

Case Report: A 69-year-old female patient presented with left submandibular swelling associated with a prior Wharton's duct injury. Initial management included local interventions and marsupialization; however, clinical symptoms recurred, which required submandibulectomy. The postoperative course was favorable.

Discussion: Early diagnosis is key to managing submandibular duct injuries. Up to 32% of …

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 …

Comparative Evaluation Of Mechanical And Chemo-Mechanical Methods Of Caries Excavation In Permanent Teeth: A Randomized Clinical Trial, Rahul Rao, Neha Pol, Ashish Jain, Pooja Shah, Amit Patil, Sanpreet S. Sachdev

Journal of Dentomaxillofacial Science

Objective: To compare excavation efficacy and pain perception among air-rotor (carbide bur), polymer bur, and chemo-mechanical excavation (Carie-Care™)  in adult permanent posterior teeth as a confirmatory, population-specific evaluation.

Materials and Methods: A single-center, single-blind, randomized split-mouth clinical trial was conducted in 29 adults with three permanent posterior teeth each (total = 87 teeth) presenting with occlusal caries and an ICDAS score of 4 or 5. The trial was registered with the Clinical Trials Registry of India (CTRI Ref No.: REF/2025/07/109637). Each participant received all three interventions in the same session under standardized conditions. Excavation efficacy was assessed using a caries …

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. …

A Conceptual Framework For Robust Few-Shot Learning: Integrating Unbalanced Optimal Transport And Self-Supervised Transformer Representations, Hayati Abd Rahman, Pang Yun

Malaysian Journal of Computing (MJoC)

Few-shot learning (FSL) aims to enable deep models to generalise from extremely limited labelled data, yet unstable metric matching, distribution imbalances, and weak structural representations in low-data regimes often constrain its performance. This paper proposes a conceptual framework that unifies metric-based similarity learning, Unbalanced Optimal Transport (UOT) via Unbalanced Sinkhorn Distance (USD), and self-supervised Transformer representations to conceptually address the theoretical and structural limitations of existing FSL approaches. The framework theoretically unifies distribution-aware USD matching, SSL-enhanced ViT/Swin feature representations, and metric-based inference within a coherent pipeline. This work aims to provide a theoretical foundation and research roadmap for future empirical …

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 …

Uncovering Ethical Values In Information Systems Development Methodologies, Zahidah Zulkifli, Noor Hayani Abd Rahim, Tahmid Alam, Fakhrul Hazman Yusoff, Mohammad Masudur Rahman

Malaysian Journal of Computing (MJoC)

Information system development involves a lot of tools, infrastructures, and humans. The many phases in system development need humans to interact and work with each other to obtain the goal: to complete information system development. These interactions of humans require the right ethics to ensure that the information system development can be successful. For example, ethical leadership is a vital component in determining the success of any project related to information system development in organizations. The aim of this study is to identify the ethical values which are important in information system development methodology phases. This systematic literature review (SLR) …

Addressing Class And Demographic Imbalance In E-Commerce Behavior Prediction: A Case Study Using Resampling Techniques, Nurul Ain Mustakim, Maslina Abdul Aziz, Shuzlina Abdul Rahman, Rahmiati Rahmiati

Malaysian Journal of Computing (MJoC)

In e-commerce predictive modeling, imbalanced data remains a critical challenge, particularly when both class labels and demographic attributes are unequally distributed. This study investigates a combined approach of Synthetic Minority Oversampling Technique (SMOTE) and demographic resampling to improve the performance of models predicting online purchasing behavior in Malaysia. Using a dataset of 1,126 survey responses, six classifiers (J48, Random Tree, REPTree, JRip, PART, and OneR) were evaluated under three conditions: unbalanced, after SMOTE, and after SMOTE with demographic balancing. The results displayed clear improvements in model performance. For example, J48’s accuracy increased from 62.85% (unbalanced) to 98.69% (fully balanced), while …

Textual Adversarial Example Generation Using Bigram Unigram-Semantic Preservation Optimization Algorithm, Noor Adam Noor Azmi, Haslizatul Fairuz Mohamed Hanum

Malaysian Journal of Computing (MJoC)

The vulnerability of Natural Language Processing (NLP) models to adversarial attacks remains a critical challenge in the field of cybersecurity and AI robustness. While deep learning models have achieved high performance in sentiment analysis, they are susceptible to subtle input perturbations that induce misclassification. This study presents the design and practical implementation of a web-based system (Proof of Concept) that automates the generation of textual adversarial examples using the Bigram Unigram-Semantic Preservation Optimization (BU-SPOF) algorithm. Rather than proposing a novel attack algorithm, our primary contribution is the architectural integration of a dual-source candidate generation strategy (WordNet and OpenHowNet) and a …

Lru Caching Policy Based On Naïve Bayes Ml Algorithm In Collaborative Peer-To-Peer Systems For Network Bandwidth Utilization, Waheed Yasin

Malaysian Journal of Computing (MJoC)

Web caching offers several advantages, such as increasing cache hit rates, lowering the workload on origin servers, and minimizing network traffic. Nevertheless, limited cache capacity poses a major challenge in web caching systems. Moreover, repeatedly fetching same media objects from origin servers leads to unnecessary bandwidth consumption. Furthermore, traditional caching policies, including Least Recently Used (LRU), are vulnerable to cache pollution. This study introduces a collaborative caching policy based on the Naïve Bayes (NB) Machine Learning (ML) algorithm. The proposed policy exploits structured peer-to-peer architectures, allowing cache contents to be shared among peers to improve the efficiency of LRU web …

Examining The Relationship Between It Project Risk Management And Benefits Realized From It Project Implementation Within The Public Sector, Fredick Bitta, Robert Oboko, Christopher Chepken

Malaysian Journal of Computing (MJoC)

Information technology (IT) has become increasingly critical in today's digital world, supporting, sustaining, and driving growth in public organizations. The board of directors and senior management have traditionally delegated, disregarded, or avoided IT decisions. The majority of public sector organizations have realized that such a mindset is outdated and must be avoided. Being a foundation for effective enterprise governance, the IT risk management domain seeks to guarantee that a structure exists for identifying, analyzing, mitigating, monitoring and communicating an organization's IT risk to ensure successful IT project implementation. This research, therefore, sought to examine the relationship between risk management of …

The Impact Of Macroeconomic Variables On Property Prices In Malaysia During The Covid-19, Nurin Nayli Ahmad, Nurul Sima Mohamad Shariff, Aldo Eko Syaputra

Malaysian Journal of Computing (MJoC)

The housing market is a critical driver of economic growth and a source of financial stability. In Malaysia, residential property prices are influenced by a range of macroeconomic factors, including Gross Domestic Product (GDP), exchange rates, unemployment rates, and wage levels. The COVID-19 pandemic introduced significant disruption and volatility to the Malaysian economy, making it essential to understand the relationships between these factors and property prices. The pandemic's economic challenges, coupled with rising property prices, have exacerbated housing affordability issues. While previous studies focused on long-term trends (1991–2019), there is a gap in understanding the high-frequency (monthly) volatility specifically during …

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 …

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 …

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 …

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 …

Msw Portfolio: Grounded In Perpetuity And Well-Being Of The Future Generation, Silver A. Little Eagle

Graduate Student Portfolios, Professional Papers, and Capstone Projects

The MSW Portfolio, Grounded in Perpetuity and Well-being of the Future Generation, by Silver Little Eagle (Northern Cheyenne), is an Advanced Integral Practice portfolio submitted in partial fulfillment of the Master of Social Work degree at the University of Montana. Integrating the core competencies outlined by the University of Montana School of Social Work and the Council on Social Work Education, this portfolio draws on the author's identity as an Indigenous social work practitioner, as a citizen of the Northern Cheyenne Tribe, as a Tsé-tsėhéstaestse naa Só'taeo'o woman, as an eldest sister raised by her grandmothers, and as a Youth …