Digital Commons Network^™

Advances In Perovskite Solar Cells: Efficiency, Stability, And Commercialization Prospects, Wissam H Alawee, Laith Jaafer Habeeb, Monaem Elmnifi

Terra Joule Journal

One of the most radical technologies in the field of photovoltaics is the so-called perovskite solar cells or PSCs which have already reached certified power conversion efficiencies of more than 26 per cent within slightly more than ten years of focused research. The reviewed study gives an in-depth analysis of the science, material development, stability issues, and commercialization plans that characterize the present state of the perovskite photovoltaics state of the art. We start with the basic crystal structure and optoelectronic behavior of metal halide perovskites to single out the high efficiency path that is undergone by the previous dye-sensitized …

A Comprehensive Review Of Hybrid Renewable Energy Systems: Integration Challenges And Optimization Strategies, Laith Jaafer Habeeb, Monaem Elmnifi, Wissam H. Alawee

Terra Joule Journal

Hybrid renewable energy systems (HRES) combine complementary renewable generators, storage and coordinated controls to reduce the variability and integration burden associated with single-source plants. This review synthesizes peer-reviewed studies, authoritative energy statistics and documented projects, with emphasis on solar–wind, hydro-coupled and multi-source configurations; storage selection; grid integration; and design and operational optimization. The evidence shows that the value of hybridization depends on resource complementarity, grid conditions, control architecture and life-cycle sizing rather than on technology combination alone. The review therefore distinguishes established findings from illustrative comparisons and avoids presenting literature-derived values as new experimental results. Six recurring implementation challenges are …

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 …

Learning, Abstraction, And Creative Search For Interactive Agents, Jonathan Demke

Theses and Dissertations

Artificial intelligence systems are increasingly deployed as autonomous agents that interact directly with complex environments. Ensuring these agents remain reliable, adaptable, and useful presents an ongoing practical challenge. This dissertation studies agent-environment interactions through a progressive lens, examining behavior from foundational training stability and abstraction discovery to adaptation in unpredictable settings and open-ended creative search. The investigation begins by analyzing how hyperparameter settings affect early-stage Deep Q-Network performance, yielding practical guidelines for debugging reinforcement learning implementations. To address the challenge of long-horizon planning, the discovery of temporally extended options is formalized as the Minimum Shortcut Problem, demonstrating how agents can …

Kindergarten Teachers’ Challenges Embedding Play-Based Learning In A Standards-Based Curriculum, Anna Catalan

Walden Dissertations and Doctoral Studies

The problem addressed in this study was that kindergarten teachers in a Western United States elementary school were challenged by standards that have become heavily focused on teaching academic skills at a younger age, instead of teaching with developmentally appropriate practices that allow for play-based learning (PBL). Framed by Vygotsky’s theory of PBL, the purpose of this basic qualitative study was to explore what challenges local kindergarten teachers had when embedding PBL in a standards-based curriculum. Data were collected through 15 semistructured interviews with Kindergarten teachers who had at least 2 years' experience embedding PBL in instruction. Using thematic analysis …

English Language Arts Remedial Teachers’ Perspectives On Strategies To Close The Academic Achievement Gap Of Minority High School Students, Barbara Williams

Walden Dissertations and Doctoral Studies

The problem that was addressed throughout this study is that 53% of minority students do not reach proficiency on the English Language Arts (ELA) portion of the Florida Assessment of Student Thinking test compared to the 42% of other student populations at Grover High School (GHS, a pseudonym), a large and diverse high school, despite targeted school improvement interventions each school year. Grounded in Ladson-Billings’s culturally relevant pedagogy, the purpose of this basic qualitative study was to investigate ELA remedial teachers’ perspectives on reading strategies and instructional planning tools that might help minority students close the academic achievement gap. Semistructured …

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.

Development Of Minimalist Trifunctional Building Blocks For Chemical Biology Probe Synthesis, Luke E. Bohrer

Electronic Theses and Dissertations

The completion of the Human Genome Project in 2003 generated expectations that genomic information would accelerate the discovery of new protein drug targets and FDA-approved therapies. However, many small-molecule drug candidates continue to fail in clinical trials, and much of the human proteome remains undercharacterized in terms of structure, function, and disease relevance. Chemical tools are therefore essential for defining protein function, mapping protein interactions, and identifying disease-associated molecular mechanisms. Among these tools, small-molecule chemical probes provide a powerful strategy for connecting biological activity with target identification, functional analysis, and the development of effective therapies.

This dissertation describes the development …

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, …

Fragberta: A Fragment-Aware Molecular Representation Model With Sequential Attachment-Based Fragment Embeddings, Neerav Kaushal, Ajay M.N.V. Penmatsa

Michigan Tech Publications

Automated exploration of chemical space through machine learning has become a central strategy in modern drug discovery, where the ability to learn transferable molecular representations directly impacts predictive modeling performance. Recent advances in chemical language models have primarily relied on atom-level string encodings such as SMILES or SELFIES, treating molecules as sequences of individual atoms or characters. However, medicinal chemistry reasoning is often fragment-centric, emphasizing scaffolds, functional groups, and modular substructures rather than isolated atoms. In this study, we introduce FragBERTa, a molecular fragment-aware transformer-based representation language model pretrained using masked language modeling on Sequential Attachment-based Fragment Embedding (SAFE) representations. …

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 …

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 …

Illuminating Hemophilia: Distinguishing Normal And Factor Deficient Plasma Clots Via Brightfield Microscopy And A Convolutional Neural Network, Jason H. Tullis

Undergraduate Honors Theses

When blood vessels are damaged, clots formed by the protein fibrin stabilize platelets and stem active bleeding. Coagulation, the physiological process that forms fibrin clots from blood plasma, hinges on the clotting cascade, a complex network of interacting proteins. These so-called clotting factors help control fibrin polymerization and thereby coagulation. A clotting factor deficiency generally slows coagulation, resulting in bleeding disorders like hemophilia A, B or C. Diagnosing the deficient factor's identity is essential to optimal treatment. Currently, missing factors are determined in reference laboratories via specialized tests. A more accessible test could help streamline the diagnosis process--in this work, …

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 …

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 …

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 …

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.

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 …

Technical Reliability As Foundation Of Mobile Self-Checkout Experience, Pumezile O. Dyantyi, Fazlyn Petersen

African Conference on Information Systems and Technology

Although mobile self-checkout (MSCO) apps are becoming more common in retail stores, their long-term success in emerging markets depends heavily on the system’s technical reliability. This qualitative thematic study of 888 user reviews for four established MSCO apps investigates how technical reliability shapes the user experience (UX) after app adoption. Using an integration of the UX Honeycomb model and the UTAUT2 framework, this paper demonstrates that technical reliability is a core UX element that affects usability, performance, trust, value, satisfaction and continued use. Technical reliability problems such as system outages, login challenges and transaction difficulties negatively impact several core UX …

Enzymatic Synthesis Of Salicylate In Yersina Pestis Proceeds Via Intramolecular Hydroxyl Group Transfer., Clarke Miller

Georgia Journal of Science

The salicylate synthase (YbtS) of Yersinia pestis catalyzes the initial step in the biosynthesis of yersiniabactin, an iron-scavenging siderophore and critical virulence factor. While YbtS is proposed to share a  reaction mechanism with other anthranilate synthase homologs, the exact catalytic pathway has remained unresolved.  In this work, stable isotope (¹⁸O) labeling and mass spectrometry are utilized to clarify the catalytic mechanism of YbtS.  The results of the following set of experiments demonstrate that the salicylate hydroxyl group does not originate from solvent water, directly challenging previously proposed models. Instead, the lack of solvent-labeled oxygen incorporation and the absence …

South Africa's Inclusive Six-Dimensional Generative Ai Readiness Framework, Keegan Steyn, Ojelanki Ngwenyama, Sibongiseni Tunzelana

African Conference on Information Systems and Technology

Generative artificial intelligence (Gen AI) is transforming governance, knowledge systems, and economic activity, but current preparedness measures pay little attention to the socio-technical, institutional, and postcolonial contexts that shape country trajectories. To address this gap, the study employs a design science methodology to create the National Generative AI Readiness Assessment Framework (N-GAIRF), a six-dimensional diagnostic tool theoretically based on Sen's capability approach to development and incorporating Institutional Theory, Socio-Technical Systems Theory, National Innovation Systems Theory, and Postcolonial Information Systems critique. An example application to South Africa, compared to Zimbabwe and an indicative Organization for Economic Cooperation and Development (OECD) reference …

How Prior Exposure To Cyber Threats Shape Cyber Hygiene Practices Among Mobile Internet Users In Accra, Jefferson Sigfred Seyeram Bansa, Date Barrigah-Benissan, Martin Yaw Osei Mintah

African Conference on Information Systems and Technology

Mobile internet usage in Ghana has revolutionized communication, financial activities, and commercial operations, as Accra residents increasingly rely on mobile devices as their primary digital tool. Users face multiple cyber threats, including phishing, malware, and identity theft, as their online activity outpaces their cybersecurity knowledge. This study employs a qualitative case study design to examine how mobile internet users in Accra experience and respond to cyber threats. It draws on Protection Motivation Theory (PMT) and Technology Threat Avoidance Theory (TTAT) to explain how users’ threat perceptions, coping strategies, and contextual conditions shape their online safety behaviour. Data will be collected …

Ubuntu Signs: A Tool For Real-Time Translation Of South African Sign Language, Simone Beets, Hasita Rama

African Conference on Information Systems and Technology

Deaf and Hard-of-Hearing (DHH) individuals often face communication challenges with people who do not understand sign language. Existing systems lack support for South African Sign Language (SASL) and are limited in accessibility, efficiency and accuracy. This paper introduces Ubuntu Signs, a mobile prototype tool for real-time SASL translation using a camera-based interface and machine learning. The tool uses two models to recognize gestures: a static model for alphabetical and numerical gestures and a dynamic model for continuous gestures representing words and phrases. A preliminary user study evaluated the effectiveness, efficiency, accuracy and satisfaction of Ubuntu Signs. Results indicated high usability …

Genai Goes To Campus: A Narrative Literature Review Of Benefits, Challenges And Policies, Jayson Warren Peters, Mmasechaba J. Seopa, Justin T. Maistry, Tebogo J. Matome, Christen Du Toit, Maureen C. Tanner

African Conference on Information Systems and Technology

This study examines the role of Generative Artificial Intelligence (GenAI) in the learning and administrative experiences of students and educators in higher education, through a narrative literature review of thirty-one articles. The literature was thematically reviewed and coded to identify themes and factors contributing to challenges, benefits, and policies and guidelines. These themes were explored in depth with their relation to GenAI for learning outcomes, the role of GenAI in student’s learning experiences and the effectiveness of using GenAI tools to support educators’ administrative processes. In light of the challenges and deterrents identified (e.g. implementation - maintenance, privacy and security, …

Secondary Water Saturation Of The Rock Mass And Quality Of Rocks In Active Mine Areas Bordering The Flooded Workings Of Closed Mines, Mirosława Bukowska

Journal of Sustainable Mining

The goal of this paper was to inspect the influence of capillary water saturation on the specific strain energy of sedimentary rocks. The relationships between the determined specific strain energies in an air-dried state and in a state of capillary water saturation for detrital rock were exponential, with a strong correlation among the variables. For silt, the relationships were described by a second-degree polynomial function, and the correlation was medium or weak. The relationships for kinetic and dissipated energy were described with a linear function. Pearson correlation coefficients indicated a strong correlation among the variables for detrital rock and a …

The Shorthorn: August 15, 1986

The Shorthorn Newspaper Collection: 1980s

No abstract provided.