Digital Commons Network^™

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.

Investigation Of Applying Machine Learning For Thermal Transport Phenomena, Ayush Jha

Theses

Electronic cooling is essential for maintaining optimal performance during complex computation tasks. Computational simulations have become a key tool to assess performance under various operating conditions. However, computational modeling involves a lengthy process to reach the final solution. The present work introduces a point-based neural network model to generate instant predictions of temperature for various heat sink configurations. A design of experiments methodology was utilized to define different heatsink designs, which were simulated using OpenFOAM. The training data included fin length, fin width, thermal conductivity, and Cartesian coordinates of point clouds. PyTorch was enabled with a fully connected neural network …

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.

Re: Comment Letter For The Draft Final Butte Priority Soils Operable Unit (Bpsou) Butte Treatment Lagoons (Btl) Groundwater Treatment System Quarterly Operation And Maintenance Report – Quarter 1 2026 (Dated June 26, 2026), Emma Rott

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Modeling And Simulation Of Solar Battery Charge Controller Using Adaptive Particle Swarm Optimization Mppt Algorithm, Mustafa Sacid Endiz, Göksel Gökkus

Mathematical Modelling and Numerical Simulation with Applications

Implementing an effective Maximum Power Point Tracking method is crucial for optimizing solar energy harvesting against environmental fluctuations like solar radiation and temperature. This paper introduces a novel approach for modeling and simulating a solar battery charge controller, using a modified Particle Swarm Optimization algorithm. The power stage of the system is based on a SEPIC converter, which is employed to manage the power conversion and improve the energy transfer to the battery. The developed circuit model is evaluated under various radiation levels at a constant temperature, as well as under different temperature levels at a constant radiation. Simulations are …

Use Of Technology May Negatively Impact Learners, Dajsha A. Avery

Masters Projects

Integration of technology has changed classrooms vastly in the 21^st century. The research evaluates if the use of technology may negatively impact young learners. The Theory of Constructivism developed by Jean Piaget and Lev Vygotsky encourages the integration of technology in the classrooms because it allows the students to lead their educational journey. It is discovered that using technology allows students to be more engaged, self-paced and work on specific skills. Additionally, educational apps are helpful to build confidence and are an incentive for students while practicing skills. Yet, it is recommended to only allow up to 7 hours …

Steptrigger: Contact-State-Triggered Backdoor Attacks On Vlm-Powered Legged Robots, Jiageng Zhang, Doniyorkhon Obidov, Kaichen Yang

Michigan Tech Publications

Large language models and vision-language models are increasingly used as high-level planners in robotic systems, using task goals and sensor summaries to select navigation or manipulation actions. This creates a new backdoor surface: a compromised planner can behave normally in most runs, yet change its target selection when a hidden trigger is present. Prior attacks on LLM-powered or embodied agents mainly rely on triggers that appear in language, camera-visible objects, scene semantics, or specific sequences of past actions. This paper presents StepTrigger, a contact-state-triggered backdoor attack for VLM-powered legged robots. The trigger is not a prompt token or a visible …

Lorascan: Detecting Backdoor Prompts In Low-Rank Adapters For Large Language Models Via Down-Projection Activation Spike, Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang

Michigan Tech Publications

Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapters introduce a supply- chain threat: a backdoored adapter can cause a model to gen- erate harmful content, malicious code, political propaganda, or covert advertisements when an input contains a hidden trig- ger. Adapter-agnostic defenses merge the adapter with the base model, which dilutes backdoor signals and reduces detection performance. Existing adapter-aware methods do not address how to safely use a potentially backdoored adapter. Instead, they either train a defensive adapter to repair a backdoored base model, addressing the inverse problem rather than …

Genotypic Triggers: Exposing Pharmacogenomic Blind Spots Via Host-Specific Backdoors In Generative Antimicrobial Peptide Models, Doniyorkhon Obidov, Xiaolong Guo, Yonghui Li, Kaichen Yang

Michigan Tech Publications

Large Language Models (LLMs) have accelerated drug discovery, particularly in the automated design of antimicrobial peptides (AMPs). However, current validation pipelines for peptide generation models overlook historical precedents showing that certain drugs carry health risks predominantly for individuals with specific genetic profiles. In this paper, we demonstrate that such targeted health risks can be induced intentionally and at scale by manipulating models that generate peptide candidates. We introduce the Genotypic Trigger, a backdoor attack that shifts a model’s generative distribution toward peptides with elevated predicted immunogenicity risk, an adverse immune reaction, specifically for carriers of a tar- geted HLA allele, …

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, …

Elimination Of Object Jittering Via Impostor Rendering With Gpu Emulated Doubles, James Govan Moir Iv

Theses

Object jittering is an issue that arises when rendering objects at large distances from the scene's origin. This challenge arises in software that focuses on rendering realistically scaled planetary systems and games which simulate large open world environments. While there are several techniques in common use that aim to manage jittering, they come with performance tradeoffs. We propose a new technique that combines GPU based emulated double arithmetic with impostor rendering. Our technique aims to eliminate object jittering while maintaining reasonable performance.

Navigating Errors: Voice Assistants And Aging Users, Bea Marithe V. Pulido

Theses

This study examined how age relates to usability, cognitive load, and affect when using voice-user interfaces (VUIs). VUIs such as Siri, Alexa, and Google Home are increasingly common and allow users to complete tasks through voice commands. While these systems can be convenient and accessible, especially for older adults, they often provide brief or unclear feedback when errors occur, making it difficult for users to understand what went wrong and how to continue the interaction. The current study compared older and younger adults (n = 40) to examine group differences in perceived usability, cognitive load, and affective change during VUI …

Improving Bench Work Competence Through Qr Code Based E-Lkpd Featuring Sop Video And K3 Safety Checklist, Firman Muhadi Saputra, Marsono Marsono, Imam Muhtarom, Mingchang Wu

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

This study examines the use of a QR Code-based E-LKPD integrated with SOP videos and a K3 safety checklist in improving vocational students’ bench work competence. A pretest–posttest control group design was applied to 63 tenth-grade machining students at SMKN 1 Jenangan Ponorogo in the 2025/2026 academic year selected through purposive sampling. Data were collected using performance assessment observation sheets and written tests. The results show that both groups achieved the competent category, with the experimental class obtaining a slightly higher mean score (80.22) than the control class (77.07), However the independent t-test results indicate that the difference is not …