Digital Commons Network^™

Mems 4110: Air Hockey Table Physics Education Exhibit, Olaoluwa J. Adeniji, Salomon Dessalines, Gyvnn Mendenhall

Mechanical Engineering Design Project Class

This project centers on creating an educational air-hockey exhibit designed for use in a science museum. The goal of the device is to transform a familiar game into a hands-on demonstration of basic physics and engineering concepts such as motion, momentum, energy transfer, and impact forces. Through discussions with our customer, Professor Potter, we established that the exhibit must balance two priorities: it must be fun and intuitive for visitors of all ages, and it must provide meaningful real-time feedback that helps users understand the science behind the experience.

Mems 4110: Science Museum Bernoulli's Demo, Emma Sloan, Carter Hahnfeldt, Luke Mccann

Mechanical Engineering Design Project Class

This report outlines the design and prototyping process of the Science Museum Bernoulli’s Demo (SMBD), a capstone project for MEMS 4110 Senior Design Project at Washington University in St. Louis. The SMBD is a fun game for a children’s science museum designed to demonstrate how the exit velocity of water from a pipe changes based on the pipe diameter. The design intends to teach kids about Bernoulli’s principle by allowing them to choose from two different sized pipes to spray water at a target. The key aspect of the game is that the water flows more slowly out of the …

The Relationship Between Emotional Intelligence, School Culture, And School Leadership, Virginia Lorean Smith

Electronic Theses and Dissertations

Abstract

This study was a qualitative instrumental single holistic case study as outlined by Robert Stake in

1995. It focused on three research questions. The goal was to gain perspectives from teachers

and a principal on teacher retention and the culture of a campus. The emotional level of the

principal was evaluated on social awareness, self-awareness, relationship management, and self-

management by the principal taking part in an emotional intelligence assessment. The single

holistic case study approach was used, which had six phases of analyzing the data. The results

were then compared to the teachers’ interviews and surveys that were …

A Comprehensive Review Of Financial Knowledge Graphs, Jeyaraman Brindha Priyadarshini, Bing Tian Dai, Yuan Fang

Research Collection School Of Computing and Information Systems

Knowledge Graphs (KGs) are increasingly used in finance to manage complex, interconnected data and support advanced analytics. This survey provides an overview of how KGs are applied across various financial areas, such as fraud detection, credit risk assessment, anti-money laundering, and regulatory compliance. We examine key techniques for building and using KGs in finance, including graph construction, embedding methods, and machine learning models. The survey also discusses challenges specific to finance, like handling private data, ensuring interpretability, and managing real-time data. Additionally, we explore the emerging combination of KGs with large language models and generative AI, which offers new possibilities …

Omnivton: Training-Free Universal Virtual Try-On, Zhaotong Yang, Yuhui Li, Shengfeng He, Xinzhe Li, Yangyang Xu, Junyu Dong, Yong Du

Research Collection School Of Computing and Information Systems

Image-based Virtual Try-On (VTON) techniques rely on either supervised in-shop approaches, which ensure high fidelity but struggle with cross-domain generalization, or unsupervised in-the-wild methods, which improve adaptability but remain constrained by data biases and limited universality. A unified, training-free solution that works across both scenarios remains an open challenge. We propose OmniVTON, the first training-free universal VTON framework that decouples garment and pose conditioning to achieve both texture fidelity and pose consistency across diverse settings. To preserve garment details, we introduce a garment prior generation mechanism that aligns clothing with the body, followed by continuous boundary stitching technique to achieve …

Lsfdnet: A Single-Stage Fusion And Detection Network For Ships Using Swir And Lwir, Yanyin Guo, Runxuan An, Junwei Li, Zhiyuan Zhang

Research Collection School Of Computing and Information Systems

Traditional ship detection methods primarily rely on single-modal approaches, such as visible or infrared images, which limit their application in complex scenarios involving varying lighting conditions and heavy fog. To address this issue, we explore the advantages of short-wave infrared (SWIR) and long-wave infrared (LWIR) in ship detection and propose a novel single-stage image fusion detection algorithm called LSFDNet. This algorithm leverages feature interaction between the image fusion and object detection subtask networks, achieving remarkable detection performance and generating visually impressive fused images. To further improve the saliency of objects in the fused images and improve the performance of the …

Parameter-Efficient Variational Autoencoder For Multimodal Multi-Interest Recommendation, Nhu Thuat Tran, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

Learning user preferences in recommendation systems is enriched by multimodal features, such as textual and visual content, and amplified by multi-interest modeling with Variational AutoEncoders (VAEs). However, prior efforts are limited by single modality focus and cumbersome, parameter-heavy architecture designs. To address these limitations, we introduce an innovative solution that blends the semantic richness of multimodal data with the representational power of multi-representation VAEs. Drawing inspiration from Mixture of Experts (MoE), we cast each VAE as an expert tailored to a specific modality, then fuse them via a novel parameter-merging function into a lean, unified model. This approach efficiently captures …

Search Trajectory Network-Enhanced Multi-Objective Dynamic Algorithm Configuration, Robbert Reijnen, Zaharah Bukhsh, Hoong Chuin Lau, Yaoxin Wu, Yingqian Zhang

Research Collection School Of Computing and Information Systems

Deep reinforcement learning (DRL) has emerged as an effective technique for dynamic algorithm configuration, particularly in evolutionary computation, enabling adaptive parameter updates during algorithmic execution. DRL-based methods have shown broad applicability across different problem domains and are designed to configure algorithms without problem-specific information, making them highly transferable across problem variants and scalable to different problem sizes. This paper proposes a novel graph neural network-based approach that learns representations of Search Trajectory Networks (STNs) to track the convergence behavior of multiple objectives and dynamically reconfigures multiobjective evolutionary algorithms during execution. By capturing how solutions evolve and interact over time, the …

Mitigating Cross-Modal Representation Bias For Multicultural Image-To-Recipe Retrieval, Qing Wang, Chong-Wah Ngo, Yu Cao, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Existing approaches for image-to-recipe retrieval have the implicit assumption that a food image can fully capture the details textually documented in its recipe. However, a food image only reflects the visual outcome of a cooked dish and not the underlying cooking process. Consequently, learning cross-modal representations to bridge the modality gap between images and recipes tends to ignore subtle, recipe-specific details that are not visually apparent but are crucial for recipe retrieval. Specifically, the representations are biased to capture the dominant visual elements, resulting in difficulty in ranking similar recipes with subtle differences in use of ingredients and cooking methods. …

Lightweight Population-Based Policy Optimization For Pickup And Delivery Problems, Yizhou Liu, Li Li, Yixin Xu, Tang Liu, Rong Cheng, Die Wu, Jilin Yang, Jingwen Li

Research Collection School Of Computing and Information Systems

In recent years, applying deep models to automatically learn construction heuristics for vehicle routing problems has achieved remarkable advancements. However, they are less effective in searching solutions due to two primary limitations: relying on deterministic probability distributions and overlooking the strategic advantage of prioritizing nearby unvisited nodes during the route construction process, resulting in suboptimal policies In this paper, we propose a novel lightweight population-based policy optimization (LPPO) framework that learns a diverse population of solution strategies through the utilization of innovative perturbation factors, in order to facilitate search exploration. Moreover, we design a localized attention synthesis (LAS) network to …

Co2-Induced Changes In Rheology, Structural Evolution, And Particle Characteristics Of Cement Paste, Seongho Han, Tae Yong Shin, Seung Mo Kim, Jae Hong Kim, Kamal H. Khayat

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The injection of carbon dioxide (CO₂) into cementitious systems has emerged as a promising approach to enhancing sustainability in concrete production. This study explores the impact of CO₂ injection on the rheological behavior, structural build-up, and particle size evolution of cement paste by systematically varying the water-to-cement ratio (w/c) (0.35, 0.4, and 0.5) and CO₂ concentration (0.06, 0.28, and 0.84 mol). Rheological analysis revealed a significant increase in initial yield stress with CO₂ injection. Using the Modified Bingham model, yield stress increased by 72 % and 150 % for 0.28- and 0.84-mol CO₂, …

Laboratory Investigation Of High-Temperature Preformed Particle Gels For Fluid Control In Granite Cores For Geothermal Applications, K. Caleb Darko, Yanbo Liu, Thomas P. Schuman, Mingzhen Wei, Baojun Bai

Chemistry Faculty Research & Creative Works

To understand the applicability of high-temperature preformed particle gel (HT-PPG) for control of short-circuiting in enhanced geothermal systems (EGSs), core flooding experiments were conducted on fractured granite cores under varying fracture widths, gel particle sizes and swelling ratios. Key parameters such as injection pressure, water breakthrough pressure, and residual resistance factor were measured to evaluate HT-PPG performance. The gel exhibited strong injectability, entering granite fractures at pressure gradients as low as 0.656 MPa/m; HT-PPG yields a superior sealing performance by significantly reducing the permeability; and dehydration occurs during HT-PPG propagation, with a dehydration ratio ranging from 4.71% to 11.36%. This …

Contrastrepair: Enhancing Conversation-Based Automated Program Repair Via Contrastive Test Case Pairs, Jiaolong Kong, Xiaofei Xie, Mingfei Cheng, Shangqing Liu, Xiaoning Du, Qi Guo

Research Collection School Of Computing and Information Systems

Automated Program Repair (APR) aims to automatically generate patches for rectifying software bugs. Recentstrides in Large Language Models (LLM), such as ChatGPT, have yielded encouraging outcomes in APR,especially within the conversation-driven APR framework. Nevertheless, the efficacy of conversation-drivenAPR is contingent on the quality of the feedback information. In this article, we propose ContrastRepair, anovel conversation-based APR approach that augments conversation-driven APR by providing LLMs withcontrastive test pairs. A test pair consists of a failing test and a passing test, which offer contrastive feedback tothe LLM. Our key insight is to minimize the difference between the generated passing test and the …

Morphology-Aware Hrv Estimation From Wrist Ppg In Sedentary Scenarios, Changshuo Hu, Hung Manh Pham, Dong Ma

Research Collection School Of Computing and Information Systems

Photoplethysmography (PPG) is widely used in wearable devices for non-invasive heart rate variability (HRV) monitoring. While most prior work focuses on mitigating motion artifacts, recent studies highlight that even subtle contact pressure variations can distort waveform morphology and lead to inaccurate HRV estimates. In this work, we propose a morphology-aware deep learning framework that conditions HRV estimation on beat-level waveform types. Our model jointly encodes the raw PPG waveform and a sequence of pressure-induced morphology labels using parallel encoders, integrates them via cross-attention, and predicts normal-to-normal (NN) intervals and beat count to support downstream HRV computation. Evaluated on the public …

The First Sixty Years Of Loyola School Of Theology, From The Preface Of The 2025 Lst Statutes

Loyola Papers

This article presents a concise historical account of the first sixty years of Loyola School of Theology, as drawn from its recently approved Statutes. It traces the institution’s origins, development, and growth within the context of ecclesial, academic, and socio-cultural changes in the Philippines and the wider Asian region. The narrative highlights LST’s evolving mission in theological education, its commitment to forming ministers and scholars for the Church, and its responsiveness to the calls of the Second Vatican Council and subsequent ecclesial developments.

Fall 2025: Antimatter

The Weldon Times

A student-run publication from the Schulich School of Law at Dalhousie University.

Co-Editors in Chief: Kimberly Gilson, Carleigh MacKenzie

Fcrh Honors Program: Fall 2025 Program Highlights, Fcrh Honors Program

FCRH Honors Program Newsletters and Reports

No abstract provided.

Interest In “Pumpkin Spice” Simmers Down In 2025, Social Media Analysis Finds, Jin-A Choi, Yi Lou, Bond Benton

College of Communication and Media Scholarship and Creative Works

The ingredients of pumpkin spice may only be a mix of cinnamon, nutmeg, ginger, allspice, and cloves, however it has transcended the sum of its parts to become a cultural touchstone and important part of fall product branding for companies. Its ubiquity arguably began in 2003 with the introduction of “Pumpkin Spice Latte” at Starbucks (Nosowitz, 2022). From simple lattes to more absurd pumpkin spice offerings (including deodorant and bathroom tissue), the world has entered its second decade of pumpkin spice being top of mind at the arrival of autumn. 2025, however, presents potential challenges associated with trend continuation. Immediately …

Pleasure & Pain In Intellectual Property, Andrew Gilden

William & Mary Law Review

Intellectual property produces pleasure. IP laws incentivize investment in popular culture, helping to ensure the viability of entertainment industries and the steady production of our favorite shows, cherished brands, and beloved celebrities. Across IP-heavy industries, creators cite the joy of writing, composing, coding, and experimenting as a motivation for countless hours in the office, studio, or lab. Nonetheless, in a broad range of settings, and across several areas of IP, courts have responded with hostility to personal accounts of pleasure in IP disputes. When a defendant admits to using IP because they are fans of the plaintiff, or because they …

Harding Magazine Fall 2025 (Vol. 33, No. 1), Harding University

Harding Magazines

Publication distributed to alumni and friends of the community

Write Free Or Die: Vol. 12, No. 01, Unh Writing Programs

Writing Program Newsletter

No abstract provided.

Graduate Studies Newsletter (Fall 2025), Csusb - Office Graduate Studies

Graduate Studies Newsletter

No abstract provided.

2025 (Fall) Ensi Informer Magazine, Morehead State University. Engineering Sciences Department

ENSI Informer Magazine Archive

The ENSI Informer Magazine published in the fall of 2025.

Beyond The Bipolar: Allowing Satisfaction And Dissatisfaction To Coexist, Dustin J. Souders, Yixiu Yu

Publications

Copyright © 2025 Souders and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

Building Services Engineering September/October 2025

Building Services Engineering

No abstract provided.

A Data-Driven Framework For Optimal Retail Store Location, Ming Hui Tan

Dissertations and Theses Collection (Open Access)

This study develops a data-driven framework for optimal retail store location planning that integrates road network analysis, mobility data and optimization techniques. By addressing the limitations of traditional approaches that rely on outdated census data and manual site selection, this research offers a scalable and adaptable solution for retail expansion in diverse urban environments. Chapters 1 and 2 establish the foundational context and theoretical underpinnings of this research. Chapter 1 introduces the research problem and motivation, highlighting the limitations of existing approaches and defining three key research objectives: automating candidate site identification, improving footfall estimation, and developing a scalable multi-site …

Are We Expert Enough? Confronting Self-Doubt Through Critical Friendship., Kristen Gregory, Mark Diacopoulos

Open Educational Resources - Teaching and Learning

No abstract provided.

Exploring The Effects Of Excipients On Complex Coacervation, Xianci Zeng, Pratik U. Joshi, Alexander Lawton, Lynn M. Manchester, Caryn Heldt, Sarah L. Perry

Michigan Tech Publications

Complex coacervation is an associative liquid–liquid phase separation phenomenon that takes place due to the electrostatic complexation of oppositely-charged polyelectrolytes and the entropic gains associated with the release of bound counterions and rearrangement of solvent. The aqueous nature of coacervation has resulted in its broad use in systems requiring high biocompatibility. The significance of electrostatic interactions in coacervates has meant that studies investigating the phase behaviors of these systems have tended to focus on parameters such as the charge stoichiometry of the polyions, the solution pH, and the ionic strength. However, the equilibrium that exists between the polymer-rich coacervate phase …

J Mich Dent Assoc October 2025

The Journal of the Michigan Dental Association

Each month, the Journal of the Michigan Dental Association delivers news, information, and features about Michigan dentistry to our state's oral health community and the MDA's 6,200+ members. It remains the main publication reaching Michigan dentists and is available worldwide through ADACommons. The October 2025 (Volume 107, No. 10) issue of the Journal is published in a digital-only format to provide updates and insights for Michigan's oral health community and MDA members. Print editions will resume in November. The October issue highlights the critical importance of advocacy through the MDA Dental Political Action Committee (PAC) and provides practical, management-focused information …

Mda Dental Pac: Why It’S So Important To You, James Mashni Dds

The Journal of the Michigan Dental Association

The MDA Dental PAC (Political Action Committee) supports the Michigan Dental Association’s (MDA) lobbying efforts on state legislation. It is funded entirely by voluntary contributions from MDA member dentists, mainly collected through a notice included in the annual dues statement. The PAC pools these funds to support political officials who advocate for issues important to organized dentistry, regardless of political party. Key advocacy priorities for 2025 include establishing Dental Loss Ratio laws, legislating Assignment of Benefits, regulating Virtual Credit Card Payments, addressing fees for Non-Covered Services, and increasing Medicaid Anesthesia Reimbursement. The PAC is managed by a Board of Governors …