Digital Commons Network^™

Jme 4110: Design And Evaluation Of A Remote-Operated Tool For High-Ceiling Light Bulb Maintenance, Faiq Kureshi, Austin Carr, Phuc Truong, Klevis Malaj

Washington University / UMSL Mechanical Engineering Design Project JME 4110

Changing light bulbs in high ceilings is a common but hazardous task. Existing tools are awkward, unstable, and often lead to dropped bulbs, damaged fixtures, or the need for ladders, increasing both risk and effort. There is a clear need for a safe, accurate, and efficient solution that allows bulb replacement from the ground without compromising speed or precision

Empowering Weight Loss: A Pragmatic Randomized Controlled Trial Of A Theory-Driven Self-Regulation Mobile App For Young Adults With Excess Body Weight, H. S. J. Chew, J. W. Ngooi, R. C. Du, P. Z. Chan, M. Jansson, B. Zhu, Y. Cao, Chong-Wah Ngo, R. Foo, A. Shabbir, D. Ho, N. Sevdalis, K. Y. Ngiam

Research Collection School Of Computing and Information Systems

Background/Introduction: Obesity is projected to affect more than half of the global population by 2035, posing significant health and economic challenges. While lifestyle modification is considered a cornerstone of weight management, its effectiveness often relies on substantial support systems. Purpose: This study aimed to evaluate the effectiveness of a 12-week, standalone Temporal Self-Regulation Theory (TST)-based weight loss mobile application, which integrates self-regulation techniques, food logging, and dietary nudging, in promoting weight loss among young adults with excess body weight. Methods: A two-arm, parallel-group, 1:1 randomized controlled trial was conducted, adhering to the CONSORT-Outcomes 2022 Extension guidelines. Participants completed a face-to-face …

Hdifftg: A Lightweight Hybrid Diffusion-Transformer-Gcn Architecture For 3d Human Pose Estimation, Yajie Fu, Chaorui Huang, Junwei Li, Hui Kong, Yibin Tian, Huakang Li, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

We propose HDiffTG, a novel 3D Human Pose Estimation (3DHPE) method that integrates Transformer, Graph Convolutional Network (GCN), and diffusion model into a unified framework. HDiffTG leverages the strengths of these techniques to significantly improve pose estimation accuracy and robustness while maintaining a lightweight design. The Transformer captures global spatiotemporal dependencies, the GCN models local skeletal structures, and the diffusion model provides step-by-step optimization for fine-tuning, achieving a complementary balance between global and local features. This integration enhances the model’s ability to handle pose estimation under occlusions and in complex scenarios. Furthermore, we introduce lightweight optimizations to the integrated model …

Mitigating Regression Faults Induced By Feature Evolution In Deep Learning Systems, Hanmo Yu, Zan Wang, Xuyang Chen, Junjie Chen, Jun Sun, Shuang Liu, Zishuo Dong

Research Collection School Of Computing and Information Systems

Deep learning (DL) systems have been widely utilized across various domains. However, the evolution of DL systems can result in regression faults. In addition to the evolution of DL systems through the incorporation of new data, feature evolution, such as the addition of new features, is also common and can introduce regression faults. In this work, we first investigate the underlying factors that are correlated with regression faults in feature evolution scenarios, i.e., redundancy and contribution shift. Based on our investigation, we propose a novel mitigation approach called FeaProtect, which aims to minimize the impact of these two factors. To …

Dual-Target Disjointed Cross-Domain Recommendation Mediated Via Latent User Preferences, Dinh Hieu Do, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Users often navigate multiple platforms online, each characterized by its own set of scarce data. Recommender systems face a significant challenge in such fragmented environments. This paper proposes a novel approach to enhance recommendation systems by leveraging connections across distinct yet conceptually similar datasets from multiple platforms. We introduce a unique scenario of dual-target overlapping-free cross-platform recommendation, presenting a bridging mechanism to mutually improve across platforms and learn latent user preferences. Our approach addresses the data sparsity prevalent in each platform and enhances recommendation quality by harnessing redundant, rich, and similar domain data. Experiments validate the effectiveness of our method, …

Advancing Food Nutrition Estimation Via Visual-Ingredient Feature Fusion, Huiyan Qi, Bin Zhu, Chong-Wah Ngo, Jingjing Chen, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Nutrition estimation is an important component of promoting healthy eating and mitigating diet-related health risks. Despite advances in tasks such as food classification and ingredient recognition, progress in nutrition estimation is limited due to the lack of datasets with nutritional annotations. To address this issue, we introduce FastFood, a dataset with 84,446 images across 908 fast food categories, featuring ingredient and nutritional annotations. In addition, we propose a new model-agnostic Visual-Ingredient Feature Fusion (VIF2 ) method to enhance nutrition estimation by integrating visual and ingredient features. Ingredient robustness is improved through synonym replacement and resampling strategies during training. The ingredient-aware …

Do Supplier Ceo's National Cultural Origins Affect Supplier-Customer Relationships?, Peng Liang, Hasan Cavusoglu, Nan Hu

Research Collection School Of Computing and Information Systems

This study investigates how the national cultural origins of supplier chief executive officers (CEOs), as characterized by Hofstede’s cross-cultural dimensions, influence the duration of supplier–customer relationships. By analyzing the cultural origins of supplier CEOs from 20 countries over a 25-year period, we find that supplier CEOs with high long-term orientation (LTO) and high uncertainty avoidance (UNA) are associated with longer lasting supplier–customer relationships, while those with high individualism (IND) are associated with shorter relationship durations. These findings are robust to several alternative explanations of customer and supplier CEO variables. To address potential endogeneity—specifically, the concern that CEOs with certain cultural …

Wa-Fdnet: A Unified Weight Adaptation Network For Multimodal Image Fusion And Object Detection, Yanyin Guo, Ying Luo, Junwei Li, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

Multimodal image fusion and object detection are critical tasks in computer vision, particularly in scenarios requiring robust perception under low illumination conditions. Existing approaches that attempt to combine these tasks often rely on cascaded or loosely coupled designs, which can result in suboptimal performance due to gradient conflicts and task imbalance. In this paper, we propose WA-FDNet, a novel Weight Adaptation Fusion Detection Network that unifies multimodal image fusion and object detection into a single end-to-end framework. WA-FDNet adopts a shared encoder–private decoder architecture, enabling efficient feature sharing while preserving task-specific characteristics. The image fusion branch employs a spatial attention-based …

The Indian Pharmacopoeia: Enabling Open Access And Crafting A ‘Sovereign Function Exception’ For Government Works, Aparajita Lath

National Law School Journal

Standardisation of drugs and access to such standards are important levers for effective drug regulation. The Indian Pharmacopoeia, the official book of standards for drugs in the country prescribed by the Union government under the Drugs and Cosmetics Act 1940, are legally binding and enforceable. Not only do the standards have the force of law but are also government-created. The Indian Pharmacopoeia Commission (IPC), a division of the Union Department of Health and Family Welfare, has a legal monopoly over creating and publishing this compendium. Though it is legally binding, the Indian Pharmacopoeia is neither in the public domain …

The Procedural Architecture Of Climate Justice: Comparative Lessons From Regional Human Rights Courts, Indira Boutier

National Law School Journal

Climate change, once narrated through scientific data and economic costs, is now unavoidably framed as a question of rights and justice. This article examines how litigation before the African, European, and Inter-American human rights courts makes the procedural dimensions of climate justice visible. Procedural justice here is understood capaciously and includes not only rules of access, standing, and evidence, but also the recognition of corporations as duty bearers in transnational accountability regimes. A comparison of the three regions shows how colonial legacies, institutional architectures, and political economies shape the channels through which communities can contest climate harm. Litigation emerges less …

A Comparative Study Of Machine Learning And Deep Learning Models In Binary And Multiclass Classification For Intrusion Detection Systems, Ayesha Alharthi, Meera Alaryani, Sanaa Kaddoura

All Works

Network infrastructure evolution has significantly expanded the attack surface, leading to increasingly complex and sophisticated cybersecurity threats. Traditional rule-based intrusion detection systems (IDS) often fail to detect emerging attack vectors, prompting the need for intelligent, data-driven approaches. This study evaluates and compares the performance of machine learning (ML) and deep learning (DL) models for network intrusion detection. Two publicly available datasets were utilized: a binary-labeled software-defined networking (SDN) dataset and a multiclass industrial control system dataset based on the IEC 60870-5-104 protocol. Preprocessing steps included normalization, label encoding, and a 70:10:20 train-validation-test split. Seven models, Random Forest, Decision Tree, K-Nearest …

Cross-Platform Sample-Rate Behavior In Mobile Bluetooth Microphones A Comparative Audio-Production Study Of Android And Ios Systems, John Trevino

Theatre Faculty Publications

Bluetooth microphones—especially AirPods and similar wearables—are now used in mobile filmmaking for portable, actor-mounted voice capture. However, sample-rate behavior varies significantly across Android and iOS ecosystems. This paper analyzes cross-platform sample-rate performance using perceptual, non-mechanistic evaluation. The focus is on expressive clarity, tonal identity, continuity across recordings, and film-production workflow reliability under Bluetooth microphone conditions.

Dry Bones Can Live Again : Best Practices For Replanting Independent Christian Churches, R. Steve Bolin

ATS Dissertations

No abstract provided.

Identification Of Milk And Milk Product Adulteration By Molecular Methods, Isam Shaker Haza, Saad Sabah Fakhry

Al-Esraa University College Journal for Medical Sciences

The polyacrylamide gel electrophoresis sodium dodecylsulfate (SDS-PAGE) has been extensively used to separate native and denaturalized proteins. In various countries this has been useful to detect milk adulteration with whey, which is a fraud according to the current legal standards. The presence of glycomacropeptide (GMP) constitutes a marker of adulteration. It is released to the serum due to the hydrolysis of --casein peptide catalyzed by rennin incheese elaboration. In this work, the GMP detection was standardized as a pasteurized milk adulteration index, by means of GMP isolation with sequential precipitation in trichloroacetic acid at 24% and 50%, treatment with ethanol-ether …

P-Adic Cellular Neural Networks With Delay, Baboucarr Dibba

Theses and Dissertations

This dissertation presents a novel framework for p-adic reaction-diffusion cellular neural networks (CNNs) with delay, offering new insights into the stability and dynamic behavior of these networks. Through numerical simulations, we explore their response to various conditions, highlighting their capability to model complex systems. Additionally, this work reviews cutting-edge developments in p-adic CNNs, particularly their application to advanced image processing tasks such as edge detection and noise filtering, demonstrating their effectiveness in preserving critical image features while filtering out noise. This dissertation is written in collaboration with my Ph.D supervisor and Dr. Zambrano-Luna, Brian.

A Study Of Quasigroups, A Computational Approach On Isotopism And Isomorphism Hierarchical Structure, Runaldo Montrose

Theses and Dissertations

Quasigroups morphism classification can present a real computational challenge. As of today, the number of quasigroups that can be generated from a finite set S of cardinality n is known for very small value of n. Though we know the number of quasigroups for small n, generating them in real time is a whole other issue that leads to a bigger challenge of building their isomorphy classes, because the algorithm used required large computing memory resources. In this paper we will expose the computational complexity of constructing their hierarchical morphism structure from isotopism to isomorphism. As an improvement, …

Electrocatalytic Degradation Of Methylene Blue Using Graphene Oxide, Antimony Oxide, And Graphene Oxide-Supported Antimony Oxide Ink-Based Electrodes, Maria Irene Myers Armas

Theses and Dissertations

This study investigates the electrocatalytic degradation of methylene blue (MB) using copper mesh electrodes coated with graphene oxide (GO), antimony oxide (Sb₂O₃), and their composite (GO/Sb₂O₃). These materials were evaluated across a pH range of 2 to 8 using sodium sulfate as the supporting electrolyte. UV-Vis spectroscopy at 665 nm confirmed dye degradation, with removal efficiencies reaching up to 95% at pH 2. However, degradation decreased at higher pH, with 40 – 60% removal at pH 8, depending on the electrode. Kinetic analyses revealed optimum performance under acidic conditions. GO/Sb₂O₃ electrodes demonstrated the most consistent and effective performance across all …

Predicting Enzyme-Substrate Association Using Heterogeneous Knowledge Graph, Jannatul Ferdaus

Theses and Dissertations

Phosphorylation and dephosphorylation are dynamic processes that control many aspects of cellular activity, such as metabolic pathways, cell cycle progression, and signal transduction. Protein activity and interactions are modulated by the reversible addition or removal of phosphate groups, which allows cells to react abruptly to evolving conditions. Although kinase-specific phosphorylation site prediction has advanced, phosphatase-specific dephosphorylation site computational prediction is still a major obstacle that prevents us from fully comprehending the extent of cellular regulation. In this study, we constructed a knowledge graph for the prediction of enzymes (kinases and phosphatases) and their associated substrates with specific phosphosites. As part …

Optimization Of Thermoelectric Energy Harvester To Power Wireless Onboard Bearing Health Sensors During Rail Service, Danna Cecilia Capitanachi Avila

Theses and Dissertations

This work presents the optimization of a thermoelectric energy harvester designed to supply power to a wireless onboard bearing health monitoring device for critical freight rail components. The study demonstrates an enhancement in the circuitry through the integration of an energy management subsystem (E-Peas AEM20940), which features a boost converter with lower self-start voltage. The harvesting system was tested on dynamic bearing test rigs to closely replicate field service conditions. Test plans were conducted using common freight speeds and loads to simulate a representative urban route. The thermoelectric energy harvester was able to operate at temperature differentials as low as …

Nantucket Eelgrass Management Plan, Kimberly Starbuck, Kristin Uiterwyk, Shannon Hogan

Urban Harbors Institute Publications

Eelgrass is a critical component of our coastal ecosystem, supporting marine biodiversity, improving water quality, and helping to stabilize the shoreline. This planning effort aims to support the long-term health and sustainability of eelgrass habitats in our local waters.

Eelgrass (Zostera marina L.) is a subtidal seagrass found on both the east and west coasts of North America. Over the last 40 years, eelgrass has declined worldwide as a result of increased turbidity, algal blooms, physical disturbances, disease, and a host of other stressors. Specifically, in Massachusetts, the eelgrass population has declined approximately 50% in the last 30 …

Varied Legal Parameters Shape Fiduciaries’ Ability To Act On Climate Risk, Cynthia Hanawalt, Andy Fitch

Sabin Center for Climate Change Law

Commentators who advocate either for or against corporate and asset managers addressing climate risks often refer to “fiduciary duty” as justification for their claims. Yet no field of corporate or asset management actually imposes one standalone fiduciary duty. Nor do any two business-law fields impose the same fiduciary regime. Instead, these fields adopt differing arrays of fiduciary duties to address various types of relationships, comprising a different blend of affirmative obligations and/or prohibitions, assessed with different degrees of strictness by enforcers and courts. As a result, overgeneralizations about fiduciaries’ duty in all business-law contexts tend to further obscure what a …

Using Radium Isotopes To Compare Nutrient Inputs Via Submarine Groundwater Discharge To Offshore Export On The West Florida Shelf, Andrew L. Lindgren

OES Theses and Dissertations

Radium isotopes have been used to trace submarine groundwater discharge (SGD) and associated nutrient and metal inputs into the coastal ocean. They have also been used to estimate rates of diffusive mixing and export fluxes of dissolved constituents offshore. However, use of both approaches in tandem to determine the fate of groundwater inputs after they enter the coastal ocean is still relatively unexplored. Radium isotopes and nutrients were measured in two cross-shelf cruises on the West Florida Shelf in different seasons and in quarterly sampling of offshore wells. Through 226Ra mass balance and 223Ra-derived diffusive mixing rates, inputs of nutrients …

Returning To Nature: A Virtue-Based Approach To Urban Sustainability, Liam A. L. Cormack

Cities and the Environment (CATE)

This paper advocates for a pragmatic and virtue-ethics-based approach to urban sustainability initiatives that prioritizes the consideration of moral responsibility. Looking at literature on rewilding, this paper argues that the principle of ecophronesis, and the larger discipline of ecopracticology, offers a compelling framework for integrating diverse opinions on the future of conservation from different disciplines and ecological stakeholders. Ultimately, an ecophronetic approach to urban sustainability initiatives facilitates a sense of conceptual rewilding that disregards the nature-culture dualism paradigm limiting Western environmental thought and may help address the perceived alienation from nature characterized by nature-deficit disorder.

Towards Accountability: A Primer On The Space Debris Problem And An Overview Of The Legal Issues Surrounding It, William Schonberg

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Since 1957, the near-Earth population of trackable space objects has grown in number to over 36,000. Of these 36,000+ trackable objects now in low Earth orbit, just a few thousand are working spacecraft. The rest are Earth-orbiting objects which are no longer operational and are considered to be space junk. Because this junk can no longer receive maneuvering commands from its Earth-based owners, the survivability of other spacecraft traveling through or operating in Earth orbit can be jeopardized by the impacts of any number of pieces of this space junk, whose origins can usually be traced back to defunct satellites. …

From Palimpsest To Prompt: Rewriting Shakespeare, Creative Authorship, And The Generative Logics Of Large Language Models In Contemporary Theatre, Michael Harding, James Hutson

Faculty Scholarship

This article examines the convergence of creative authorship, adaptation, and generative artificial intelligence within contemporary theatre, taking Michael Harding‘s Awake, Young King as a central case study. Through the rewriting of Shakespearean drama, Harding‘s creative process demonstrates how theatrical meaning emerges through ongoing negotiation among playwright, performer, and audience, with scripts historically subject to revision, improvisation, and reinterpretation. Concerns regarding copyright, intellectual property, and the role of AI in the performing arts are reframed as extensions of enduring debates over originality and authorship, rather than novel threats. Tracing the evolution from The Rise of James VI to Awake, Young King, …

Electron Beam Irradiation Effects On Bulk Metals And High Entropy Alloys (Crmnv And Crmntiv) And The Synthesis And Characterization Of Irradiation-Induced Damage In Polycrystalline Metal And High Entropy Alloy Thin Films, Najmin Ara Sultana

Mechanical & Aerospace Engineering Theses & Dissertations

Accelerator beam exit windows are designed to withstand intense radiation and mechanical stress while preserving beam transmission and structural integrity. This dissertation explores the structural and mechanical responses of pure metals and high-entropy alloys (HEAs), in both bulk and thin-film forms, under high-dose electron beam (e-beam) irradiation to identify optimal materials for next-generation accelerator exit windows. Monte Carlo simulations using FLUKA, conducted at Jefferson Lab, revealed that amongst Ni, Ti, Cr, and V, Ni exhibits the highest power dissipation, while Ti depicts the lowest power dissipation, with Cr and V demonstrating intermediate characteristics. Bulk polycrystalline (PC) and single-crystalline (SC) samples …

Unraveling Nonperturbative Qcd With Transverse Momentum Hadronic Structures, Tommaso Rainaldi

Physics Theses & Dissertations

The main purpose of this thesis is to investigate the theoretical foundations of the factorization theorems that involve transverse quark and gluon momentum distributions, and to better understand the interface between foundational questions and phenomenological applications. Many of these applications involve using transverse parton momentum dependent (TMD) correlation functions as tools for probing the complex nonperturbative structures of the hadrons.

We first introduce the concepts of collinear and TMD factorization in a toy-model theory and, by leveraging the comparative simplicity of such a model, we test the range of validity and limitations of the factorization approach. At the same time, …

Future-Proofing Careers: Unlocking The Potential Of Ai-Driven Digital Badges, Harika Rao

Faculty and Staff Publications & Presentations

This poster explores the transformative role of AI-driven digital badges and microcredentials in addressing the urgent need for adaptable, workforce-ready graduates in an era of rapid technological change. By offering personalized, stackable, and industry-aligned credentials, higher education institutions can empower learners with just-in-time skills that traditional degree programs often fail to provide. This poster highlights how AI can support granular competency assessment, flexible online delivery, and lifelong learning pathways, enabling students to showcase evidence of skill mastery in ways that are both affordable and scalable.

Unique Architecture: In Praise Of Paradox Persistence, Odaly Plancarte

Theses

This thesis explores how bold and unconventional architectural designs are first rejected and later embraced by the public. Through a comparative study of the Sydney Opera House, the Louvre Pyramid, and the Walt Disney Concert Hall, it examines how public opinion shifts over time. Using media reports, interviews, and public comments, the study tracks emotional responses (positive, neutral, or negative) assigned a score to measure change over the years. The research applies Everett Rogers’ Diffusion of Innovation Theory to explain this shift in five stages: knowledge, persuasion, decision, implementation, and confirmation. Each building faced early backlash, but eventually became a …

Characterizing Tcap Set-Ups For Effective Separation On Hydrogen Isotope Species, James R. Hanby

Theses

Hydrogen isotope separation was investigated using a series of thermal cycling absorption process (TCAP) experiments. Pulse tests were conducted using deuterium injected into a protium flow over a range of superficial velocities, temperatures, particle sizes, and column diameters to quantify the efficiency of this process for a palladium on kieselguhr catalyst. The resulting response curves, obtained from residual gas analysis, were used to calculate the height equivalent to a theoretical plate (HETP) in each case. These values were then fit with van Deemter curves to illustrate the change in HETP over gas velocity. A strong positive correlation with temperature was …