Digital Commons Network^™

"Because The President Said So:" Agency Reason Giving And Presidential Statements Of Will, Nina A. Mendelson

Articles

Reason giving has long been understood to legitimate administrative agency actions by assuring legal, nonarbitrary, stable, and well-considered decisions. It is core to the Administrative Procedure Act's process and judicial review provisions. But the obligation to give reasons is receiving a challenge from the political accountability side, as executive orders skyrocket and the Supreme Court moves towards unitary executive theory in decisions such as Trump v. Slaughter and Seila Law v. CFPB. In striking down independent agencies under Article II, the Court has emphasized that political accountability of agencies to the President is critical. Both the President and executive agencies …

Kentucky's Alford Predicament: The Case For Curbing Qualified Guilty Pleas In The Commonwealth, Ben Whatley

Kentucky Law Journal

No abstract provided.

From Militarization To Military Enforcement: The U.S. Armed Forces And Immigration Control In The Second Trump Administration, Kit Johnson

Kentucky Law Journal

No abstract provided.

States Strip Local Governments Of Authority To Govern Causing Some Rural Communities To Suffer, Terence J. Centner

Kentucky Law Journal

No abstract provided.

Factors Associated With Early Versus Late Osteoradionecrosis Following Radiation Therapy For Head And Neck Cancer, Shanay Goyal, Busra Yilmaz, Natalie West, Clifton D. Fuller

CATALYST Summer Training Program 2026

No abstract provided.

Ephaptic Synchronization Fields: Replacing Discrete Quantum Error Correction With Continuous Wave Manifold Absorption And Lipid-Encapsulated Solitonic Waveguides, Christopher L. Eckes

Defensive Publications Series

This disclosure establishes a rigorous bio-physical framework for eliminating discrete quantum error correction overhead in scaled processing networks by utilizing continuous wave manifold absorption bounded within lipid-encapsulated hydrodynamic waveguides. Conventional quantum processing units (QPUs) enforce rigid node isolation to mitigate parasitic crosstalk, introducing high computational latency and severe physical scaling limits.

Drawing from neural ephaptic coupling and myelin-mediated structural isolation, this paper demonstrates that localized electromagnetic phase leaks can be harnessed as a stabilizing synchronization field. By confining 3D solitonic knots within lipid-encapsulated channels, the core wavefield retains localized kinetic momentum while selectively allowing phase-locked bleeding across a 2D pre-geometric …

A Process For The Preparation Of Glp-1 Peptide, Anonymous

Defensive Publications Series

The present disclosure is related to an improved process for the preparation of GLP-1 Peptide

Anatomy Of Success: Unveiling Key Resources For A Stand-Alone Occupational Therapy Anatomy Course, Annika Knuth, Sophia Wilkes, Julia Huber, Graci Leineberg, Rebecca Ozelie

Student Journal of Occupational Therapy

Anatomy is a complex curriculum involved in occupational therapy education. This study aimed to investigate occupational therapy (OT) students’ perceived usefulness of resources offered in a stand-alone anatomy course within their program. A survey was administered to 284 OT students enrolled in accredited programs who had completed a stand-alone anatomy course. The survey assessed the resources available, their usage, and the perceived benefit to students' learning. Results indicated that open labs and teaching assistants were perceived as the most valuable resources for student success, while print/electronic textbooks and office hours were perceived as the least beneficial. These findings suggest that …

Transcriptomic Profiling Of The Donkey Endometrium Reveals Dynamic Molecular Transitions Across The Estrous Cycle, Limeng Shi, Shuaishuai Wu, Mingyue Zhao, Wenhao Zhou, Abd Ullah, Muhammmad F. Akhtar, Changfa Wang, Muhammad Z. Khan, Ying Han

The Thai Journal of Veterinary Medicine

The endometrium undergoes extensive cyclical remodeling essential for reproductive success; however, the molecular mechanisms governing these processes in donkeys (Equus asinus) remain poorly characterized. To address this gap, we performed high-throughput RNA sequencing on endometrial tissues collected from Dezhou donkeys (n = 16) at four post-ovulation stages: Day 0 (ovulation), Day 3 (early luteal), Day 7 (mid-luteal), and Day 18 (late luteal/pre-luteolysis). Differential gene expression analysis, Gene Ontology enrichment, and KEGG pathway mapping were conducted to characterize temporal transcriptomic dynamics. We identified 2,474, 6,548, and 1,288 differentially expressed genes in Day 0 versus Day 3, Day 0 versus …

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 …

Ai-Enhanced Fluorescein Angiography Detection Of Diabetes-Induced Silent Retinal Capillary Dropout And Rna-Seq Identification Of Pre-Symptomatic Biomarkers, Yiyan Peng, Huishi Toh, Dennis Clegg, Peng Jiiang

Biological, Geological, and Environmental Faculty Publications

Objective: Retinal capillary dropout, characterized by acellular capillaries or "ghost vessels," is an early pathological sign of diabetic retinopathy (DR) that remains undetectable through standard clinical imaging techniques until visible morphological changes, such as microaneurysms or hemorrhages, occur. This study aims to develop a non-destructive artificial intelligence (AI)-based method using fluorescein angiography (FA) images to detect early-stage, silent retinal capillary dropout.

Methods: We utilized 94 FA images and corresponding destructive retinal capillary density measurements obtained through retinal trypsin digestion from 51 Nile rats. Early capillary dropout was defined as having an acellular capillary density of >= 18 counts per mm2. …

Maternal Microchimerism As A Mechanism Of Developmental Origins Of Health And Disease, Amy M. Boddy, Kristine J. Chua

Human Biology Open Access Pre-Prints

The in utero environment is now widely recognized as a critical determinant of health across the entire lifespan. The developmental origins of health and disease (DOHaD) framework has established that prenatal exposures, including maternal stress, infection, nutrition, and environmental toxins, can impact fetal development in profound ways associated with disease risk from infancy to old age. Yet a fundamental aspect of pregnancy, the bidirectional exchange of maternal and fetal cells, DNA, and other biological material, a phenomenon known as microchimerism, has received little attention in this context. Maternal cells and genomic material transfer to the developing fetus early in utero …

Selective Oxidation And Reduction For Recycling Samarium-Cobalt Permanent Magnets, Mitchell Harvey

Honors Theses

Samarium cobalt (SmCo) based magnets are among the strongest permanent magnets second only to neodymium iron boron (NdFeB) based magnets. While SmCo-based magnets have lower remanence and coercivity than NdFeB-based magnets at room temperature, SmCo-based magnets retain these properties better at higher temperatures. As a result, SmCo-based magnets find use in a variety of devices operating at elevated temperatures including traveling wave tubes for satellite communications, electrical generators, and control surface actuators for aviation system. With increasing geopolitical tension over the sourcing of Sm and Co, there is a renewed interest in recycling end-of-life SmCo-based magnets. This work explores a …

Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha

Radiologic Sciences

Purpose To examine the role of artificial intelligence (AI) in multiparametric magnetic resonance (MR) imaging for precision oncology, with a focus on automated tumor segmentation, treatment response prediction, and workflow efficiency.

Method A literature review was conducted to examine current evidence on AI applications in multiparametric MR imaging for oncology. Studies evaluating deep learning models for tumor segmentation, longitudinal imaging analysis, and treatment response prediction were synthesized using a thematic analysis approach.

Results Three primary themes emerged: (a) AI-driven tumor segmentation improved accuracy, reproducibility, and efficiency across multiparametric MR sequences; (b) deep learning models enhanced prediction of treatment response through …

Phenological Plasticity Provides Limited Resilience To Climate Warming In A Sea Turtle Species With Temperature-Dependent Sex Determination, Blair P. Bentley, Lisa M. Komoroske, Cintia M. Santos, Armando J. B. Santos, Estefany Argueta, Vic Quennessen, Christina M. Coppenrath, Camille Kynoch, Vincent S. Saba, Claudio Bellini, Rafaely N. M. S. Ventura, J. Wilson White, Mariana M. P. B. Fuentes

Biological Sciences: Faculty Publications

Anthropogenic climate change is threatening global biodiversity, with sea turtles particularly vulnerable as offspring sex and developmental success are strongly influenced by incubation temperature. Behavioral plasticity, including the seasonal distribution of reproductive output, may provide short-term mechanisms for mitigating these impacts. Here, we investigated season-wide hatchling sex ratios and emergence success in a small population of green turtles (Chelonia mydas), tracking individual females across their nesting seasons. Sex ratios varied markedly through the nesting season, with later nests producing a greater proportion of male hatchlings. Moreover, sex ratios were relatively consistent among nests laid by individual females. Overall, females producing …

Precision And Papers (Research Newsletter) Jan-Jun 2026, Department Of Surgery

Department of Surgery Archives

• Message from Vice-chair Research
•  Meet the Research Team
• Grants
• Faculty Spotlight
• Conferences/ Talks/ Presentations
• Building Our Research Registries
• ERC Submissions
• Publications

Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le

Radiologic Sciences

Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.

Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.

Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …

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 …

Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran

Radiologic Sciences

Purpose To examine how concerns about gadolinium deposition have influenced the use of macrocyclic versus linear contrast agents in magnetic resonance (MR) practice.

Method A structured literature review was conducted using AI-assisted research tools and academic databases to identify recent peer-reviewed original research articles related to gadolinium deposition and contrast agent use patterns in MR. Only studies published between 2020 and 2026 were included.

Results Recent research confirmed that gadolinium can accumulate in human tissues following contrast-enhanced MR examinations. Multiple studies demonstrated that linear gadolinium-based contrast agents are associated with greater levels of tissue retention compared with macrocyclic agents due …

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 …

Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual

Radiologic Sciences

Purpose To synthesize current evidence on theranostic trials, nuclear medicine clinical workflow models, and organizational readiness, with a focus on how healthcare organizations and medical imaging leaders are adapting to the rapid expansion of theranostic services.

Method A comprehensive search was conducted across Scopus, PubMed, MEDLINE, and Google Scholar. Inclusion criteria required peer‑reviewed articles published between 2002 and 2026 addressing nuclear medicine leadership, theranostic implementation, workflow design, and organizational factors influencing theranostic program development. Exclusion criteria removed editorials, blog posts, and nonpeer‑reviewed sources.

Results Four major themes emerged: workforce and staffing demands, infrastructure and resource requirements, regulatory and administrative pressures, …

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 …

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 …

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, …

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 …

Psychosocial Experiences Of Secondary School Students Living With Sickle Cell Disease While In School In Lagos State, Nigeria, Toluwalope Yetunde Onuwe

Walden Dissertations and Doctoral Studies

Sickle cell disease (SCD) is a lifelong genetic condition significantly impacting the physical, emotional, and social health of those affected. Nigeria has one of the highest global burdens of SCD, yet there is limited research on the psychosocial experiences of secondary school students living with SCD in educational settings. This qualitative study explored these experiences among students in Lagos State, Nigeria. Using the social ecological model and interpreted through the social model of disability, the study examined how school environments, educational practices, and institutional support influenced students' psychosocial well-being and perceived health. Twenty secondary school students participated in 4 in-person …

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, …

Exploring Licensed Clinical Social Workers’ Past Trauma And Current Practice: A Strengths-Based Perspective, Michael E. Conner

Walden Dissertations and Doctoral Studies

This qualitative study explored the lived experiences of licensed clinical social workers to examine how they manage, reinterpret, and integrate their childhood trauma into their professional clinical identities. Adverse childhood experiences among clinicians are often framed through a risk-based lens of burnout and impairment, leaving social work leaders without empirical models to support post-traumatic growth and workforce retention. The purpose of this study was to examine how clinicians leverage past adversity to inform contemporary practice. A basic qualitative design was used, with semistructured interviews conducted with 11 participants. Participant narratives were examined through the dual lenses of shattered assumptions theory …

Exploring The Gaps And Opportunities For Development Of An Amr Educational Package For Higher Education. Project Dataset., Michael Dillon, Delphine Kayem, Thiru Vanniasinkam, Charlotte Cornbill, Muriel Dresen, Arya Gupta, Kristina Kadlec, Priyanka More, Afolake Atinuke Olanbiwoninu, Désirée Schaaf, Raju Sekar, Christina Stylianou

Faculty of Health Datasets

Anonymous cross-sectional survey of higher education educators worldwide teaching antimicrobial resistance (AMR) or related subjects. The dataset captures educators’ teaching experience, curriculum content, and resource needs to identify gaps in AMR education and support development of openly available teaching resources.