Digital Commons Network^™

Rachel B. Griffis, Julie Ooms, And Rachel M. De Smith Roberts, Deep Reading: Practices To Subvert The Vices Of Our Distracted Age, Christopher Evan Franklin

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Cappadocian Theory Of Matter, Dispositionalism + Bundle Theory, And Modern Cosmogony, Flavius D. Raslau

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Engage & Empower: Foundations Of Social Work Practice, Elhanan Marvit

Open Touro Created

2025

Engage & Empower: Foundations of Social Work Practice is an open educational resource for social work students in “foundations of social work practice” courses. It begins by explaining Open Educational Resources and their benefits. Students then explore social work fundamentals, including the diverse roles of social workers.

With this foundation, students engage with the NASW Code of Ethics’ key terms, and principles. This ethical grounding prepares them for the “growth work” needed to develop cultural competence and cross-cultural awareness. They then learn to apply various Generalist Practice skills across different-sized systems to empower client populations.

Next, the book explores …

La Isla De Los Sonidos: Acercamiento Al Arte Sonoro Del Público Infantil-Juvenil A Través De Una Instalación Interactiva Multisensorial, Javier Fernández De Gorostiza

Divulgación

La Isla de los Sonidos Automáticos (LISA) es un proyecto subvencionado por la FECyT como proyecto de divulgación científica en la categoría de proyectos singulares. LISA propone un espacio ACTS (Arte, Ciencia, Tecnología y Sociedad), en la que participa el artista sonoro Pedro Buschi, y el colectivo de acciones artistas Chicotrópico (https://chicotropico.com/) El proyecto tiene 4 líneas de acción diferenciadas:

• Muestras al público de los laboratorios de investigación de la UDIT. Como por ejemplo, las propuestas que se lanzaron dentro de la Semana de la Ciencia 2025 (https://www.udit.es/semana-de-la-ciencia-y-la-innovacion-2025/)
• Talleres de construcción y programación de sensores. Que …

Measures Of Muscle Strength, Rate Of Force Development, And Fatiguability Across The Menstrual Cycle, Cassidy Wisler

All NMU Master's Theses

BACKGROUND: Hormone fluctuations and inconsistencies across the menstrual cycle paired with a shortage of literature on female physiology in exercise have made understanding on female exercise performance troublesome. Performance-based research has fallen behind and the increase in women participation and current evidence does not warrant general guidance on modulating specific exercise across the menstrual cycle. PURPOSE: The purpose of this study was to determine the effects of estrogen and progesterone on muscle strength, rate of force development, and fatiguability. METHODS: Nineteen recreationally active and eumenorrheic females (25.3 ± 5.8 yrs, 73.4 ± 12.2 kgs) volunteered to participate in the study. …

The Effect Of Ischemic Preconditioning On Rock Climbing Performance, Jordan Fleury

All NMU Master's Theses

Rock climbing involves isometric contractions of the finger flexors, limiting forearm blood flow and causing ischemia-induced fatigue. Ischemic preconditioning (IPC) has been shown to improve time to failure (TTF) during climbing-specific tasks, though its mechanisms remain unclear. The purpose of this study was to assess the effects of IPC on hemodynamics and muscle oxygenation during a finger flexor endurance test. This study assessed the effects of IPC on TTF, brachial artery blood flow (BF), vessel diameter (VD), and tissue saturation index (TSI). Variables were measured before (BL1) and after intervention (BL2), and throughout a finger-flexor fatiguing task (FT), including TSI …

Elucidating The Role Of Mir-10a/B In The Wound Healing Process In Larval Zebrafish, Jacquelyn E. Jacobs

All NMU Master's Theses

This study explores the regulatory role of microRNA-10 (miR-10) in larval zebrafish caudal fin regeneration, a model with broad implications for the future of regenerative medicine. Building on prior research from the lab, which indicated that miR-10 knockdown impairs regeneration, we verified this finding through rescue experiments, assessed its influence on healing projections, and examined its role in the innate immune response during the wound healing process. To address these questions, we employed a multi-faceted approach, including timed matings, microinjections, immunohistochemistry, fixed sample microscopy, and live imaging. Our results show that the experimental introduction of exogenous miR-10 can rescue the …

Unauthorized Connections: Censorship As Collective Punishment In The Policing Of Bob Mizer’S Social Relations, Farrah Freibert

Publications

Bob Mizer ran his physique photography company, the Athletic Model Guild, for nearly half a century and his work has been celebrated from many perspectives, including historical scholarship, art books, and the development of a dedicated archive. The numerous legal battles that Mizer endured throughout his career have sometimes been interpreted through the lens of individuality, both as a testament to Mizer’s prominence in the development of queer visual culture and as evidence of the lengths anti-gay police would go to stymie his homoerotically-infused artistic endeavors. Yet, importantly, the criminal cases against Mizer also embroiled his associates in the field, …

Jme4110: Hydro-Excavator Robot, Diane L. Evans, Nathan Fenton, Grant Cole, Nicholas Sipe

Washington University / UMSL Mechanical Engineering Design Project JME 4110

In an environmental situation wherein, diesel has leaked into soil surrounding high voltage lines in an underground confined space where workers cannot access physically and for safety reasons. To alleviate the situation, the project goal is to create a remotely controlled robot, with umbilical attachments. Due to the nature of the environment containing sensitive and electrically charged equipment, mechanical means of removing the soil are not feasible. For this reason, the robot is to remove contaminated soil by using a powerful water sprayer and vacuum combination. Other options for features of this robot are that it uses tracks for movement, …

Jme 4110: Automatic Umbrella Opener, Sam Nieder, Adam Freeman

Washington University / UMSL Mechanical Engineering Design Project JME 4110

Manually opening and closing a patio umbrella can be time consuming and laborious. While there are remote controlled umbrellas for sale, they are expensive and may not be a reasonable option for most people. Our task was to create a device that can be retrofitted onto any patio umbrella, that allows it to be opened and closed remotely.

Jme 4110: Remotely Actuated Rail Switch, Calysta Yalew, Chibale Anwisye, Ron Almira, Andy Sengsavang

Washington University / UMSL Mechanical Engineering Design Project JME 4110

This project focuses on developing a device that will switch the direction of rail by moving the manual rail switch itself. This design consists of two winches strategically placed on either side of the rail switch. It is then attached to a beam clamped to the manual switch and via a button on a phone, can pull the handle left and right. With this device patrons are able to keep safe and railway operations would be more efficient.

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 …