Digital Commons Network^™

Artificial Intelligence-Based Mobile Robots: Development Trends And Challenges, Ahmed N. Abdalla, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict, Kharudin Ali, Liu Yao

Terra Joule Journal

The integration of artificial intelligence (AI) with mobile robotics is transforming automation technologies, enabling advancements across industries such as manufacturing, healthcare, and hazardous material handling. As AI-driven mobile robots become increasingly prevalent, their ability to enhance operational efficiency and safety underscores the need for a comprehensive understanding of their underlying methodologies. This study critically examines the integration of nature-inspired optimization algorithms and deep learning techniques in autonomous mobile robotics, addressing key research gaps related to adaptability, real-time decision-making, and energy-efficient operations. A significant contribution of this work is the exploration of the synergistic application of bio-inspired heuristics and AI-driven perception …

Robotic Vision System: Recent Development Trends And Challenges, Johnny Koh Siaw Paw, Yaw Chong Tak, Lee Yan Kang, F. Benedict

Terra Joule Journal

Robotic vision systems have become integral to modern industrial automation, enabling high-precision manufacturing, real-time quality inspection, and autonomous decision-making. This study explores the latest advancements, key challenges, and future prospects of robotic vision in industrial applications. It examines issues related to real-time target recognition, algorithm optimization, system stability, and integration with intelligent control systems. Additionally, emerging technologies such as deep learning-based vision enhancement, multi-sensor fusion, and Vision-Based Tactile Sensors (VBTS) are analyzed for their potential to improve adaptability and efficiency. The findings highlight both the limitations and the promising trajectory of robotic vision systems, emphasizing the need for continued research …

Artificial Neural Network-Based Diagnosis Of Wind Turbine Blade Faults Using Vibration Analysis At Constant Operational Speed, Zeashan Hameed Khan, Shabbir Ahmad, Ali Habeeb Askar

Terra Joule Journal

Wind turbine blade faults, such as surface erosion, cracks, mass imbalance, and twist deformation, significantly compromise operational efficiency and reliability, thereby increasing maintenance costs. This research presents an artificial neural network (ANN)-based diagnostic approach for identifying five distinct fault states in wind turbine blades using vibration signal data collected at a constant operational speed of 1.3 m/s. The dataset, which encapsulates real-world vibration responses under varying fault conditions, was analyzed to extract amplitude features for classification. A balanced dataset of 500 samples per class was used to ensure robust training and evaluation. The ANN model achieved highly reliable performance, with …

Using Finned Absorber, Vertical Wick Distiller, And Improved-Phase Change Materials With Emerging Fins And Nanoparticles To Optimize Trays Distiller, Wissam H. Alawee, Fadl A. Essa, S. Shanmugan, A. S. Abdullah, Z. M. Omara

Terra Joule Journal

The main goal of this work is to improve the efficacy of TSS (trays solar still). To obtain this, the study explores a novel approach to solar desalination by integrating the TSS with four innovative features: a vertical wick still (VWSS), TSS with a finned wick absorber (MFTSS), internal mirrors, and PCM-Ag-NPs (paraffin wax containing silver Nanos). Two shapes of absorber plate (finned and flat) have been studied with EF (emerging fins) in PCM unit. The introduction of Ag-Nano and the emerging fins within PCM have both increased its low heat conductivity. Experimental findings indicate that the MFTSS with PCM-Ag-NPs …

Adaptive Phishing Url Detection Using Hybrid Fuzzy C-Means Clustering And Xgboost, Muntadher Mohammed Kareem, Rawaa I. Farhan

Karbala International Journal of Modern Science

Phishing attacks continue to evolve in sophistication, rendering static detection methods increasingly ineffective. Existing URL-based approaches suffer from limited adaptability to emerging phishing patterns, mislabeled training data, and insufficient validation protocols. This paper proposes a hybrid phishing URL detection system that integrates Fuzzy C-Means (FCM) clustering with XGBoost classification, enhanced by a novel Micro Adaptive Feature Extractor (MAFE). The system employs a multi-stage pipeline: feature engineering generating 36 statistical and interaction features, MAFE producing 15 adaptive features through class-aware dynamic weighting, micro-pattern detection, and entropy analysis, and FCM with K=2 clusters providing soft membership features to XGBoost. A two-pass confidence-based …

From Theory To Practice: Locating Moral Exemplars In Aristotelian Virtue Ethics, Joseph A. Murray

McNair Summer Research Program

Abstract

This research examines mentorship within Aristotelian virtue ethics. Aristotle holds that moral excellence develops through habituation, guided practice that forms stable dispositions, rather than through knowledge or rules alone. Central to this process are virtuous mentors who model good character and cultivate practical wisdom (phronesis). Although Aristotle stresses the necessity of such examples, he offers little practical guidance on who they are or how they may be identified. This omission raises a practical challenge: if virtue depends on guidance from the genuinely virtuous, identifying those individuals is essential to the theory’s implementation.  My research investigates whether society provides accessible …

Template Housing: A House For The Next 100 Years, Sophia Rico, Jb Barrientos, Armando Munoz

McNair Summer Research Program

This research examines over a century of prefabricated housing to understand how standardized housing production has changed over time and how it continues to influence housing today. By investigating archival records of historical prefabricated housing, alongside contemporary pre-approved housing plans, this study shows how housing has been designed across different time periods.  By comparing historical and modern examples, the research identifies recurring strategies for increasing efficiency, reducing construction time, and expanding access to housing. As communities across the United States continue to face a housing shortage, this research is especially relevant following the passage of the 21st Century ROAD to …

Template Housing: A House For The Next 100 Years, Armando Munoz, Sophia Rico, Joab Barrientos

McNair Summer Research Program

This research examines over a century of prefabricated housing to understand how standardized housing production has evolved and continues to influence housing today. By investigating archival records of historical prefabricated housing, alongside contemporary pre-approved housing plans, this study shows how housing has been designed across different time periods.  By comparing historical and modern examples, the research identifies recurring strategies for increasing efficiency, reducing construction time, and expanding access to housing. As communities across the United States continue to face a housing shortage, this research is relevant following the recent passage of the 21st Century ROAD to Housing Act, which encourages …

Wip: Developing A Generative Ai Autoethnography Assistant, Jyoti Suhag, Jennifer Drewyor, Kathryn Bugbee, Michelle Jarvie-Eggart, Lynn Albers, Leo Ureel

Michigan Tech Publications

Background: Generative AI (genAI) is transforming educational research, offering new possi-bilities for conducting interviews while local sandboxing minimizes data privacy risks and hallucinations. Purpose: This work-in-progress presents the AI Autoethnography Assistant, a project investigating how large language models (LLMs) can support autoethnographic interview design and execution. Approach: Using prompt engineering grounded in Interpretative Phenomenological Anal-ysis, paraphrasing techniques, and structured follow-up questions, we developed protocols that incorporate po-sitionality and prompt reflection on origin stories and pivotal life moments. Outcomes: Conversations conclude at the user’s discretion, with the AI generating a thematic summary. We tested refined prompts across four platforms (Gemini, Claude, …

Feasibility And Acceptability Of A Home-Health Aide-Delivered Loneliness Reduction Program In A Small Home Care Agency: The Caring Connections Quality Improvement Project, Tontalayia L. Robinson

Doctor of Nursing Practice (DNP) Manuscripts

Loneliness is a significant public health concern that adversely affects mental, cognitive, and physical health, with consequences comparable to smoking 15 cigarettes per day. Home care recipients experience loneliness at rates of 15.9% to 24.2%, yet home-health aides (HHAs), who often have the most consistent contact with homebound clients, lack structured tools for recognizing and responding to loneliness. This gap highlights the need for practical, evidence-based strategies that can be integrated into routine home care practice. The purpose of this Doctor of Nursing Practice quality improvement project was to evaluate the feasibility, acceptability, and appropriateness of a home-health aide–delivered loneliness …

Molecular Medicine In Cancer Treatment: Advances Toward Personalized Therapy, Kathy Montes

International Programs

No abstract provided.

When The Engine Of Hope Stalls: Madagascar's Credit System, A Barrier To Opportunity, Ranto Antonio Rakotoarisoa

International Programs

Madagascar has long faced the consequences of structural weaknesses in its financial system. This study aims to provide an overview of the current situation, explore the causes of the issue and discuss the potential solutions.

Remediation Of Dioxin-Contaminated Soil In Vietnam: Vietnam-U.S. Collaboration For A Cleaner Future, Thi Hang (Helen) Tran

International Programs

Dioxin (TCDD) from Agent Orange has persisted in Vietnamese soil and sediments for decades, posing serious risks to human health and ecosystems. Since the early 2000s, Vietnam and the U.S. have collaborated to remediate heavily contaminated “hotspots” at former military airbases. This poster compares current remediation technologies, evaluates their effectiveness, advantages, and limitations and highlights future solutions for sustainable and cost-effective cleanup.

Balancing Seismic Safety And Building Construction Costs In Nepal, Tika Bahadur Thapa

International Programs

Nepal is highly vulnerable to earthquakes, yet construction affordability there remains a major challenge. The revised NBC 105:2025 introduced improved seismic design requirements compared with NBC 105:1994. However, the increased seismic demands require larger structural members and additional reinforcement, resulting in higher costs.

University Honors Ole Miss Staff At Annual Appreciation Ceremony, Clara Turnage

University of Mississippi News

OXFORD, Miss. – The University of Mississippi recognized 16 outstanding staff members Friday (Aug. 7) at the annual Staff Appreciation Week awards ceremony.

"Help Me Live It The Way You Do": Grounding Singaporean Responses To The Rorschach Situation, Casey Y. Lee

Electronic Theses and Dissertations

Contemporary research on the Rorschach and culture is striking for the latter’s disappearance as a variable of significance (Meyer et al., 2015; Meyer et al., 2007; Mihura et al., 2013; Viglione & Hilsenroth, 2001). This erasure is chronicled and reproduced in the narratives of universal objectivity, of extensive international meta-analyses, of replications, of standardized norms (Ritzler, 2004; Smith et al., 2018; Smith et al., 2020; Weiner, 2004). A different story emerges, however, when we ask, how has culture disappeared? The proposed study is a multimethod qualitative analysis of Singaporean responses to the Rorschach, aimed at generating sensitive yet critical discourses …

Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto

Radiologic Sciences

Purpose To evaluate how deep learning image reconstruction (DLIR) affects diagnostic image quality and noise characteristics at different radiation dose levels and how it influences dose optimization compared with conventional reconstruction methods.

Method A systematic review was conducted using major databases for studies published between 2020 and 2026. Eligible studies assessed DLIR across multiple dose levels, reported radiation dose, included quantitative image quality metrics, and compared DLIR with filtered back projection or iterative reconstruction.

Results Thirty‑seven studies met criteria, and 15 were synthesized. Three themes emerged: (a) DLIR reduced noise by 15–82% and often improved signal-to-noise and contrast-to-noise ratios while …

Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief

Radiologic Sciences

Purpose To synthesize existing evidence on artificial intelligence (AI) applications for reducing magnetic resonance (MR) imaging acquisition time, evaluate their impact on image quality, and identify challenges in clinical implementation.

Method A systematic literature review was conducted using PubMed, CINAHL, and Scopus including peer reviewed, English-language articles published between 2020 and 2026. Both qualitative and quantitative primary research were eligible and had to be on AI use in MR processes. Findings were analyzed through thematic synthesis, and the quality of each study was appraised using relevant critical appraisal tools.

Results Three major themes emerged: AI methods in MR procedures, perceived …

Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel

Radiologic Sciences

Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.

Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.

Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to …

High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones

Radiologic Sciences

Purpose To analyze recent artificial intelligence (AI)-driven magnetic resonance (MR) reconstruction methods aimed at addressing long acquisition times, image artifacts, and workflow inefficiencies.

Method A systematic literature review was conducted using PubMed, Scopus, and Scopus AI, targeting peer‑reviewed studies published between 2015 and 2026. Search terms included “MRI,” “magnetic resonance imaging,” “artificial intelligence,” “deep learning,” and “machine learning.” Eligible studies included methodology, validation, and review papers. Extracted data included algorithm type, study design, key findings, and limitations. Themes were identified through content analysis and generative AI use.

Results Prominent themes identified were the emergence of generative adversarial networks, advanced neural …

Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review, Molly O'Dowd

Radiologic Sciences

Purpose To review literature examining the factors that determine magnetic resonance (MR) compatibility of electronic implants and wearable devices, including device materials, engineering design, regulatory approval processes, and clinical monitoring requirements.

Method An integrative literature review was conducted using peer-reviewed literature addressing MR safety and device compatibility. Databases searched included PubMed, Wiley Online Library, ScienceDirect, and Google Scholar. Studies were selected based on relevance to MR safety classifications, device design considerations, regulatory labeling, and monitoring requirements.

Results The literature demonstrated that MR compatible devices are engineered and tested to meet regulatory safety standards and approved for use under specific scanning …

Creating An Ip&T-Specific Resource Library For Networking & Job Searching, Abby Marks

Instructional Psychology and Technology Graduate Student Projects

This report covers the research, designing, development, testing, and deploying a custom networking and job searching resources, specifically for Instructional Psychology & Technology Students at BYU, as well as IP&T alumni, and those in the instructional design field. The product itself is a online learning library  hosted on Canvas, designed to be used on-demand, asynchronously, and entirely as needed by current and post-graduate IP&T students. I describe the audience analysis, source material, the prototyping process, relevant precedents, design solutions, and significant, positive results provided by my assessment and evaluation user testing data collections.

Walking Through History: Designing A Byu Women's History Walking Tour, Reese M. Rugg

Undergraduate Honors Theses

This thesis appears in two parts. The first is an analysis where I present a brief literature review of women’s history and women in editing and publishing. I also discuss the creation process and methods of applying design principles to a copyfitted manuscript of a BYU women’s history walking tour. The second is the copyfit 176-page manuscript and book cover, created in InDesign and Photoshop.

This project represents a continuation of recent efforts to highlight women who have built BYU in a more equitable way. The purpose of this project is to highlight the discrepancies in women’s archival history and …

Equitable Science Instruction For Diverse Learners: Differentiation With Consideration For Multilingual Students, Alicia Reyelts

Masters Projects

Multilingual learners (MLs) continue to experience persistent achievement gaps in science, often due to the linguistic demands of academic language and the limited availability of instructional supports within general education classrooms. As classrooms become increasingly diverse, science teachers require practical instructional resources that promote equitable access to rigorous, standards based learning while supporting students' language development. This master's project addresses this need through the development of a differentiated seventh-grade chemistry unit aligned with the Michigan Middle School Next Generation Science Standards (NGSS). The project is grounded in the principles of differentiated instruction (DI), drawing upon the work of Tomlinson as …

Upcycling Pomelo Peel And Eggplant Biomass Into Form-Stable Pcms, Xiao-Mei Yang, Guang-Zhong Yin

Artículos científicos

Eggplant tissue and pomelo peel waste were converted into lightweight biomass porous foams via freeze-drying and subsequently used as sustainable scaffolds for shape-stable PCMs. Paraffin (PA) and PEG 20 K were incorporated into the biomass-derived foams, where the naturally interconnected cellular structures provided abundant capillary channels for PCM uptake and confinement. The resulting composites achieved high PCM loadings of 81.44–93.50 wt%. The melting enthalpies of Eggplant-PA, Pomelo-PA, Eggplant-20K, and Pomelo-20K reached 169.31, 166.11, 155.76, and 143.56 J g⁻¹ , respectively, confirming their considerable latent heat storage capability. In particular, Eggplant-20K and Pomelo-20K exhibited high enthalpy efficiencies of 106.77% and 112.98%, …

The Exploration Of Pandemic Educational Equity Among Virginia Schools, James Edward Graves

Walden Dissertations and Doctoral Studies

The COVID-19 pandemic intensified existing educational inequities among marginalized student populations, prompting unprecedented federal investments through the Coronavirus, Aid, Relief, and Economic Security (CARES) Act to support educational continuity. Existing literature findings consistently demonstrated that collaborative leadership, equitable resource allocation, family engagement, and community partnerships improved educational continuity, which reduced learning disparities during the COVID-19 pandemic. Despite substantial resource allocations, limited research has examined parent perceptions regarding the equity and effectiveness of CARES Act-supported educational interventions. The purpose of this generic qualitative study was to explore Virginia high school parents' perceptions of pandemic educational equity, CARES Act financial disbursement strategies, …

Impact Of Taped Problems Intervention Modification On Children With Deafness, Clyniece Hodge

Electronic Theses and Dissertations

Children with hearing loss are at an increased risk of experiencing setbacks in various areas of life, including academic performance and employment opportunities. Academically, they are likely to experience poor academic achievement in reading, as well as in mathematics (ASHA, 2013). In comparison to gifted hearing students and average-ability hearing students, students with hearing loss are at a higher risk of low mathematics performance (Hassan & Mohammed, 2019). Despite these known challenges and risk factors, limited research has been conducted to identify effective intervention strategies for improving mathematical outcomes among this population. As such, this study aimed to evaluate the …

Dialogic Communication Ethics As A Hopeful Response To Artificial Intelligence, Kristen Haldeman

Electronic Theses and Dissertations

Within the past five years, a new technology has dominated modern culture: artificial intelligence. With a multiplicity of ways to respond to this new environment, this dissertation situates a response to artificial intelligence by combining the media ecology and communication ethics perspectives. Media ecology explores historical roots and biases of technology to learn about their influence of humanity. A dialogic communication ethics seeks to find an opening for hope to emerge. Hope, grounded in the works of Jacques Ellul and the Christian tradition, offers a new rhetorical perspective by shifting focus away from technology and to our neighbor.

Electrocatalytic Oxidation Of Ethylene Glycol To Glycolic Acid: From Mechanism And Catalyst Design To Emerging Neutral Electrolyte Systems, Man Zhang, Xue Li, Xinyu Peng, Lin Wang, Wenwen Chen, Yaoyue Yang

Online First

Polyethylene terephthalate (PET) waste represents both an environmental burden and a loss of carbon resources. Alkaline depolymerization of PET yields terephthalic acid and ethylene glycol (EG). Electrocatalytic oxidation of EG to glycolic acid (GA), the monomer of biodegradable polyglycolic acid (PGA), offers a sustainable route driven by renewable electricity. However, the ethylene glycol oxidation reaction (EGOR) involves competing pathways toward C2 products (GA and oxalic acid) and C1 products (formic acid and CO₂), making selective GA production a central challenge. This review provides a comprehensive overview of recent progress in selective EG-to-GA electrooxidation from catalyst design, mechanistic understanding, …

Re: Approval Letter For Draft Final Silver Bow Creek Conservation Area (Sbcca) Butte Reduction Works (Brw) Air Monitoring For Interim Demolition Activities – Phase Ii Data Summary Report (Dsr) (Dated June 26, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.