Digital Commons Network^™

Transforming Equity: A Systemic Analysis Of The Equity Model Of Social Justice Education Through The Lens Of Conflict Transformation Theory, Precious J. Golden

University Honors Theses

Current pedagogical theory and practices grounded in social justice aim to rectify systemic barriers to equity, yet despite decades of teaching through a social justice lens, social inequality and cultural division are on the rise.  "Justice," as a noun, has several meanings (Cambridge Dictionary). It can mean "judge", "law," or "fairness," and justice, no matter its meaning or its need, is achieved through methods of conflict resolution and conflict transformation. This inquiry seeks to present conflict transformation as a radical means of achieving transformative social justice, bringing voice to the voiceless and oppressed, and rectifying the contradictions in the current …

"But Oh, What Harm Those Basics Would Cause": How Journalists Can Better Interview Vulnerable Sources Utilizing An Ethic Of Care, Noah Carandanis

University Honors Theses

Traditional journalistic ethics have emphasized detachment from sources and objectivity guiding journalists' practices. In this thesis, I explore the contribution of care ethics to the field of journalistic ethics, emphasizing care in relation to interviewing vulnerable sources. I claim that the traditional objective, detached ethical status quo in journalism is insufficient in the context of reporting on mass shootings. This thesis argues that caring journalistic practices should be utilized when interviewing traumatized, vulnerable sources. In the first part, I present the issue of traditional journalistic practices through my personal experiences. I also discuss the philosophical underpinnings to journalist's objectivity criterion. …

Irish Identity: Symbols Of Nationalism In W.B. Yeats's Cathleen Plays, Emma Mady

University Honors Theses

William Butler Yeats was one of the leading figures of the Irish Literary Renaissance. Two of his plays, The Countess Kathleen (1892) and Cathleen ni Houlihan (1902) portrayed themes of nationalism and revivalism in strikingly different ways. Each play uses figures from folklore and mythology to establish a sense of national identity: the tale of "The Countess Kathleen O'Shea" inspired The Countess Kathleen, and the Irish Sovereignty goddess inspired the figure of legendary Cathleen ni Houlihan. The Countess Kathleen was met with harsh criticism and accusations of blasphemy, while Cathleen ni Houlihan is still widely regarded as Yeats's …

Effects Of Fine Sediment On The Productivity Of Stream Ecosystems In The Pacific Northwest, Veena I. Davis

University Honors Theses

Salmon are important to the culture, ecosystem and economy of the Pacific Northwest. However, populations have declined significantly since European colonization. Salmon require specific conditions for each life stage and are highly sensitive to environmental stressors. Excess fine sediment is a leading form of pollution as it degrades salmon spawning habitat and the benthos upon which their main food source, stream insects, live. To evaluate the effect of sediment pollution on food availability for salmon smolt, we conducted an experiment  estimating the amount of stream insect biomass and calories lost due to sediment pollution. We counted insects on substrate samples …

Recurrence And Reflection: Psychological Insights From Repetitive Dreams, Annika Cale

University Honors Theses

The most widely reported but least appreciated aspects of human experience are recurring dreams, or those dreams that happen repeatedly with similar themes, imagery, or emotional tone in each episode of the dream. This literature review was based on five relevant psychological sources to explore what common dreams tell about what is going on in the inner psyche of the person having the dream. The synthesis of the empirical literature on recurring dream frequency has been associated with weakened psychological well-being. Longitudinal studies were conducted to show the relationship between recurring dreaming and associated decrease in well-being. These theories are …

Return Dimensions And Employees’ Work Effort In Power Supply Organizations: Does Gender Really Matters?, Patrick Christopher Singogo

Business Management Review

This study investigated the effect of return dimensions i.e. tangible and intangible returns on employees’ work effort, as well as gender differences. The study was guided by Conservation of Resources Theory and Expectancy Theory, together with pertinent literature. Four hypotheses were formulated to investigate the direct effect of tangible and intangible returns on employees’ work effort and the moderating effect of gender. The study drew its sample from 171 employees at the headquarters of Tanzania Electricity Supply Company Limited (TANESCO) in Ubungo, Dar es Salaam. Respondents were stratified into managerial and operative levels, and then systematic sampling was used within …

Pitching Fwar Vs Bwar As Predictors Of Team Success In The Mlb Regular Season, Jason Lee

University Honors Theses

Pitching Wins Above Replacement (WAR) is an area of sabermetrics capable of being used to predict regular season success in Major League Baseball. Fangraphs WAR (fWAR) and Baseball Reference WAR (bWAR) were used to construct regression models to predict regular season winning percentage, to build logistic models to establish a relationship between pitching WAR and the probability to win an individual regular season game, and to overlay density plots to consider WAR accumulation by pitching role and observe the difference of impact between starter and relief pitchers. This research finds that while pitching fWAR and pitching bWAR are both statistically …

Assessing Spatial Distribution Of Plausible Earthquake-Triggered Landslides Relative To Ca. 1000 Ybp Earthquake On The Gales Creek Fault, Jacqueline Rheingans

University Honors Theses

Modern coseismic landslides cluster near the surface trace of the fault that ruptured, suggesting that clustering of paleolandslides may record information about paleoearthquakes. This study documents the pattern of prehistoric landslides near the Gales Creek Fault (GCF), northwest Oregon, to assess whether it reflects an independently known paleoearthquake. The GCF is located northwest of Portland through the Cascadia fore-arc basin where landslides are often triggered by intense rainfall during the wet season or potentially by seismic shaking on the megathrust or on crustal faults. In order to understand how a seismic event on the GCF will impact landslide distribution I …

Custom Sbc Gps Tracking And Geocaching Carputer Software Development And Implementation, Joshua A. Davis

University Honors Theses

This thesis argues that hardware-integrated capstone projects develop software engineering skills that traditional coursework cannot replicate. A team of eight developers built a GPS tracking system on a Raspberry Pi 4 over two academic terms, integrating real-time position streaming, the APRS amateur radio protocol for network-independent location sharing, and PostGIS spatial queries for "new road" detection. The system implements SmartBeaconing for adaptive GPS data reduction, achieving approximately 80% storage savings while preserving route fidelity. The project exposed challenges absent from classroom assignments: hardware debugging without stack traces, cross-layer integration failures, and coordination overhead when deploying to unfamiliar architecture; demonstrating that …

Elucidating The Function Of Yedk In Response To Dna Damage, Hank Munro

University Honors Theses

Apurinic/Apyrimidinic (AP) sites are one of the most prevalent forms of DNA damage. These lesions arise spontaneously or during base excision repair of modified DNA bases and are potentially mutagenic in both mammalian and bacterial cells. 5-hydroxymethylcytosine binding, ES cell specific (HMCES), a protein found in eukaryotic cells, has been shown to form a stable DNA-protein crosslink with AP sites in single stranded DNA and to reduce the number of AP sites occurring either spontaneously or after alkylative DNA damage, resulting in increased genome stability. YedK, the Escherichia coli ortholog of HMCES exhibits some of the same biochemical properties as …

Brutalism, Bad Manners, And Tech Baddies: Strengthening Women's Sense Of Belonging In Undergraduate Computer Science Spaces, Mckenzie Starr West

University Honors Theses

Through a literature review supported by reflexive vignettes, this thesis explores women's experiences in undergraduate CS programs and how physical and discursive spaces may affect their sense of belonging and shape whether they enter, remain in, or leave CS programs. I provide historical and cultural context for undergraduate CS, including the history of women in education and the continued underrepresentation of women in CS compared to many other STEM fields. Using physical and discursive spaces as a lens, I examine how classrooms, study spaces, department communications, online forums, and other CS-related environments may signal who belongs, who is valued, and …

Table Of Contents

Washington International Law Journal

No abstract provided.

Comprehensive Examination Of Patients’ Data Privacy In Vietnam, Phuong Cham Nguyen

Washington International Law Journal

No abstract provided.

Personal Data Protection In Vietnam’S Burgeoning Insurance Sector, Thi Giang Thu Pham, Thị Long Nguyễn

Washington International Law Journal

No abstract provided.

Multi-Institutional Data Analysis And Literature Review Of Comparative Outcomes Of Autologous Ureteral Substitution Techniques, Brooke Hildebrand, Neerja Tillu, Maurizo Buscarini, Arjun Venkatesh, Arshia Rangchi, Zachary Dovey, Ahmed Rabie, Osama Zaytoun

GME Publications

Introduction

Complex ureteral strictures often require substitution techniques to preserve renal function. Multiple autologous reconstruction options exist, yet comparative outcome data across techniques remain limited.

Material and methods

This multicenter retrospective cohort study included 168 patients who underwent ureteral reconstruction using ileal interposition, Yang–Monti tabularization, appendiceal interposition, or fallopian tube substitution. Preoperative, intraoperative, and postoperative variables were analyzed. Renal function outcomes were assessed using serum creatinine and estimated glomerular filtration rate (GFR). Complications were classified according to the Clavien–Dindo system.

Results

Postoperative renal function improved significantly across the cohort, with mean creatinine decreasing from 2.19 ±1.35 mg/dl to 1.68 ±0.93 …

Arab National Security In The Anthropocene Era: Strategic Horizons And The Quest For A Single Security Space (2025–2035), Hamdy A. Hassan

All Works

This study examines evolving dynamics of Arab national security and forecasts developments over the next decade. It identifies key determinants, including political stability, economic resilience, military capability, and social cohesion, while accounting for geopolitical shifts, technological change, climate pressures, and global power realignments. Employing a qualitative survey design, the research draws on semi-structured interviews with 112 regional security and policy experts and applies thematic analysis. Findings indicate that limited regional cooperation and weak economic performance undermine Arab national security. Looking toward 2035, the study anticipates foreign intervention, internal instability, and significant changes in alliances and technological utilization. The research underscores …

Familial Hypocalciuric Hypercalcemia Diagnosed After Parathyroidectomy, Syed Basit Haider, Andrew Cecil, Syed A. Gardezi

Aurora GME

Background: Familial hypocalciuric hypercalcemia (FHH) is a rare, typically benign disorder caused by altered calcium-sensing receptor function, often misdiagnosed as primary hyperparathyroidism. Failure to identify FHH can lead to unnecessary parathyroid surgery as well as ineffective medical management.

Case Presentation: A 35-year-old man presented to our endocrinology service in 2021 for evaluation of persistent hypercalcemia. He had a history of partial parathyroidectomy performed in 2006 for presumed hyperparathyroidism, without normalization of serum calcium. Past medical history was notable for chronic pancreatitis and alcohol use disorder. He also reported a history of prior transverse fracture of the third distal phalanx in …

Pharmacotherapeutic Interventions For Sensorineural Hearing Loss: A Scoping Review, Matthew Mavandi, Jack Hyler, Eric Lee, Ramanjot Singh, De Wet Swanepoel, Ashley M. Nassiri, Vinaya Manchaiah

Student Publications

Background/Objectives: Sensorineural hearing loss (SNHL) is a chronic condition with no established pharmacological treatment. Recent advances in drug-based therapies offer promising opportunities to prevent or treat SNHL. This scoping review summarizes the current landscape of pharmacotherapeutics for SNHL.

Methods: This scoping review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR). A literature search of PubMed, Google Scholar, Embase, Scopus, and Web of Science was conducted in 2024 using keywords related to SNHL and pharmacotherapeutics. A review protocol was preregistered on the Open Science Framework. A systematic search of five …

Analysis Of Social Media Trends For Political Election Predictions, Wong Jing Hong, Lew Sook Ling, Tan Li Tao

Journal of Informatics and Web Engineering

The traditional opinion polls are losing the capability to forecast election results because of the biasness in the sampling and the slowness in updating the polls. Although social media has a lot of real-time data, it has a considerable number of drawbacks, such as noise and demographic bias. This paper shows a new end-to-end forecasting pipeline, which is evaluated on a corpus of 1.75 million tweets related to the 2020 election in the U.S. Our approach adopts a dual-path sentiment extracted (VADER & RoBERTa) for a better accuracy and a new state level feature engineering to fix data bias. This …

Enhanced Trust-Based Security Mechanism To Prevent Temporal Dos Vulnerabilities In Ipv6 Link-Local Networks, Iznan Husainy Hasbullah, Lokman Mohd Fadzil, Selvakumar Manickam, Supriyanto Praptodiyono, Mohamad Khairi Ishak

Journal of Informatics and Web Engineering

Many computer networks in operation today currently use both IPv4 and IPv6 stacks. On the other hand, there is a transition towards IPv6-only networks as a result of the limited availability of IPv4 addresses. The primary protocol for link-local IPv6 communication is the Neighbor Discovery Protocol (NDP). Regrettably, its insecure design and basic scope-based security mechanisms make the local network susceptible to insider threats. The Internet Engineering Task Force’s recommended security mechanism for NDP, which is Secure Neighbor Discovery (SEND), is well documented but complex and unsuitable for resource-constrained devices and networks. Trust-ND was positioned as an alternative to SEND …

Machine Learning-Based Prediction Of House Sale Prices In Hulu Langat, Kath Moon Yap Choo, Sew Lai Ng, Da An

Journal of Informatics and Web Engineering

House price prediction remains a complex task due to the interplay of structural, locational, and economic factors. This study proposes a machine learning-based predictive framework tailored to the residential real estate market in Hulu Langat, Malaysia, a district undergoing rapid urbanization. Using open-source datasets, three structured variations are developed: one containing only housing and locational attributes, another incorporating regional-level macroeconomic data, and a third combining both regional and national macroeconomic indicators. The proposed model (Ensemble Weighted Average) is trained and evaluated using evaluation metrics, then compared with models such as Random Forest, XGBoost, LightGBM, and Ensemble Stacking. The proposed model …

Design Of A Cnn–Nlp Based Visual Chatbot For E-Commerce Systems, Sidra Kubra, Salma Jahan Nisha, Nbhan D. Salih, Amalina Ibrahim, Wan Noorshahida Mohd Isa

Journal of Informatics and Web Engineering

E-commerce platforms have limitations to assist interactive and highly personalized experiences using conventional text or voice-based chatbots, particularly in context-aware areas where product discovery and visual identification are necessary. Hence, we propose to integrate an image as a visual-based chatbot. We present a conceptual framework that combines Convolutional Neural Networks (CNN) for image recognition with Natural Language Processing (NLP) for dynamic, context-aware search in a chatbot. The CNN model enables the recognition of products from user-uploaded images, while the NLP component processes and generates appropriate responses to enhance the shopping experience by providing suggestions. This hybrid system will be developed …

Ai-Powered Threat Hunting For Email Phishing Attack Detection Using Natural Language Processing (Nlp), Mohd Azriy Akmalhazim Mohd Nazariee, S Prabha Kumaresan, Alaa Haddad, Mohamed Uvaze Ahamed Ayoobkhan

Journal of Informatics and Web Engineering

Phishing attacks remain as a significant cybersecurity threat, aiming to steal sensitive information by exploiting human vulnerability. Traditional phishing email detection often struggles to keep up with the latest attack strategies developed by the attackers which results in high false positive rates and the limited contextual understanding on the email contents. Therefore, to address these challenges, this research proposes a solution via an AI-powered threat-hunting model integrating Natural Language Processing (NLP) techniques for phishing email detection in English through the development of PhishGuard AI application. The application is developed as a web-based software solution designed to be accessible to both …

Ai-Powered Dynamic Encryption And Decryption Defense Model, Chyanne Wen Qian Lor, Ibrahim Yusof, Anang Hudaya Muhamad Amin

Journal of Informatics and Web Engineering

Static cryptographic systems that rely on fixed algorithms and predetermined keys have proven increasingly ineffective in addressing today’s adaptive and AI-powered cyber threats. This paper proposes an Artificial Intelligence (AI)-enabled dynamic encryption and decryption defence model designed to enhance cybersecurity through real-time threat classification and context-aware cryptographic response. The framework combines the Suricata intrusion detection engine with a Random Forest model developed using the CIC-IDS2017 dataset, allowing it to identify and categorize network anomalies into unified groups, including Denial-of-Service (DoS), Distributed Denial of Service (DDoS), Brute Force, and PortScan. Once threats are identified, the system dynamically selects an appropriate encryption …

Ai-Driven Intrusion Detection System For Network Security, Zhi Lin Sarah Teoh, Wee How Khoh, Hui Yen Yap, Pin Shen Teh

Journal of Informatics and Web Engineering

In the evolving landscape of cybersecurity, Intrusion Detection Systems (IDS) play a vital role in safeguarding computer networks against malicious activity. Traditional signature-based IDS approaches are increasingly ineffective in detecting novel, complex, or zero-day attacks due to their reliance on predefined rules. To overcome these limitations, this study proposes an AI-driven IDS that integrates both classical machine learning and modern deep learning techniques. The framework introduces and compares three models such as Support Vector Machine (SVM), Convolutional Neural Network (CNN), and a hybrid CNN-SVM model. The system is designed to analyze network traffic patterns and classify them as either benign …

Deep Learning Model For Burn Injury Assessment With Enhanced Diagnosis Rate, C. Pabitha, K. Revathi, R. Krishna Priya

Journal of Informatics and Web Engineering

The skin is considered as the largest organ of our body specifically satisfies the environment. As a result, the skin is vulnerable to various injuries, especially burns. Burns are linked to high rates of morbidity and mortality and can be fatal. Effective diagnosis supported by precise evaluation of the burn area and the depth of wound is critical for enabling efficacy in clinical settings. The characteristics of a burn wound on the skin include: the wound is abnormal, the skin is infected, there is discomfort, the skin is tight, and there are raised areas of skin. To properly diagnose burn …

Performance Analysis Of Faster R-Cnn And Yolov8 Model For Mango Fruits Detection, Mohd Haris Lye, Marawan Ashraf Eldeib

Journal of Informatics and Web Engineering

Mango cultivation is a vital agricultural sector in many regions, providing significant economic benefits and contributing to environmental sustainability. Traditional mango detection and harvesting methods are prone to error and are labour-intensive. Recent advances in aerial imagery and Artificial Intelligence (AI) offer innovative solutions to these challenges. An automated yield estimation and fruit harvesting system will require an accurate fruit object detection model. This study explores the application of deep learning models for mango detection on two diverse datasets. This research focuses on evaluating two primary deep learning models: Faster Region-based Convolutional Neural Network (Faster R-CNN) and You Only Look …

A Review Of Cyber-Attacks On Web Applications And Their Countermeasures, Salaheddin Beskri, Kok Why Ng

Journal of Informatics and Web Engineering

Leaders have always wondered where and how precisely Information Technology (IT) can be of value in their organizations. However, the pacing rate of technology development and cutting-edge features that technologies can provide can cause the decision-maker of an organization to rush to invest in technology upgrades without taking risks into account. The risks that may cost the existence of organizations can be caused by an adversary who commits a cyberattack against the IT assets of an organization, seizing leaders' underestimations of the risks of IT upgrades. Inevitably, there will always be new vulnerabilities in IT assets, especially in information systems. …

Multi-Agent Ai Systems For Detecting Emerging Therapeutic Targets And Intervention Patterns In Neuroplasticity Research, Raza Hasan, Salman Mahmood

Journal of Informatics and Web Engineering

The exponential growth of neuroplasticity research presents profound challenges to the manual synthesis of literature, hindering the identification of emerging therapeutic targets and intervention patterns. While multi-agent Artificial Intelligence (AI) systems have been proposed conceptually to address this, concrete implementations demonstrating end-to-end utility are scarce. This paper details the successful implementation and application of a novel four-agent AI system designed to automate the discovery, extraction, analysis, and validation of patterns in neuroplasticity literature. Our platform consists of four parts: a Literature Discovery Agent (LDA) for corpus gathering, a Concept Extraction Agent (CEA) with a multi-level NLP strategy fallback mechanism for …

Synthetic Data Generation For Healthcare And Wellness: Methods, Applications, And Future Directions, Sellappan Palaniappan, Kasthuri Subaramaniam, Oras Baker, Bui Ngoc Dung, Sumit Dhariwal

Journal of Informatics and Web Engineering

Artificial intelligence in healthcare relies heavily upon the availability of high-quality datasets, but very rigid privacy regimes, institutional silos, ethical issues, and heterogeneous data still serve to limit the availability of real-world clinical data. To combat these limitations, you focus on synthetic data generation as a privacy-preserving and scalable alternative to traditional data generation for healthcare and wellness studies. More relevant is a work on a broad and clear framework of synthesis methods based on statistical modelling, rule-based generation and domain-specific clinical logic, in contrast to recent studies that mainly target sophisticated methods for the deep learning architectures. The paper …