Digital Commons Network^™

Engineering Plga Nanoparticle Size To Modulate Immune Responses After Spinal Cord Injury, Daniel J. Kolpek

University of Kentucky Doctoral Dissertations

Spinal cord injury is a severe and debilitating condition that often results in lifelong complications, including paralysis. Many of these chronic outcomes are driven by a sustained inflammatory response at the injury site, which limits tissue regeneration and functional recovery. As a result, therapeutic strategies that modulate this immune response have gained significant interest. Polymer based nanoparticle therapies have emerged as a promising approach due to their ability to interact with and influence immune cell behavior. Importantly, the physicochemical properties of nanoparticles can be precisely tuned to optimize these effects. Among these properties, size has been shown to influence key …

Holding The Line On Academic Freedom In Law School Clinics, Ty Alper, Praveen Kosuri, Beth Lyon, Alicia E. Plerhoples, Laura Riley, Robin Walker Sterling

Georgetown Law Faculty Publications and Other Works

Since the emergence of modern clinical legal education, law school clinics have periodically faced political interference in their selection of clients and cases, interference that threatens clinics’ essential dual missions of training practice-ready lawyers and providing legal services to marginalized clients who would otherwise lack representation. While such pressure is not new, contemporary threats differ in scale and institutional form. Today, funding, oversight, and enforcement mechanisms are weaponized in an attempt to discipline universities, heightening institutional anxiety and prompting some universities to contemplate preemptive constraints on clinic autonomy in the name of risk management and reputational protection. This shift to …

Semantic Discovery Of Genomic Datasets With Ai, Lawrence Allibah

Electronic Theses and Dissertations

Traditional keyword-based search in genomic databases often fails to capture the latent semantic context of biological studies, leading to a ``Lexical Gap" in research discovery. This thesis presents a high-performance dual-engine discovery system built upon 10,000 studies. By utilizing 1,536-dimensional vector embeddings, with large language models (LLMs) we implement a search engine coupled with a novel Hybrid Boosting layer that integrates semantic intent with factual metadata. Furthermore, we apply a high-dimensional K-Means clustering algorithm for unsupervised topic discovery. Empirical benchmarking demonstrates that the Hybrid Boosting engine achieves a 38.1% gain in precision and a 41.2% increase in Mean Reciprocal Rank …

Diffusion-Enhanced Nat-Bart Vision Language Transformer For Unified Urdu Word Recognition, Wahid Hussain, Shahbaz Hassan, Isma Ul Hassan, Ahmad Raza Shahid, Asif Naeem, Muhammad Usman Yaseen, Nouman Ashraf

Research Outputs: 2025-Present

Handwritten Urdu text recognition remains a very challenging problem due to the cursive and complex nature of the Nastaliq script. Each writer has a unique style, and there is a severe lack of large, well-labeled datasets. These challenges make Urdu text recognition much harder than for many other languages. Here we propose a novel and effective approach for handwritten Urdu word recognition that addresses both data scarcity and feature complexity. We utilized conditional diffusion models to generate synthetic handwritten Urdu word images. These models produce realistic word samples covering a wide range of variations, such as stroke thickness, curves, and …

Climate Change Education In Medical Curricula: Integration, Collaboration, And Preparedness For Emerging Health Challenges, Sungkono Sungkono, Agus Santoso, Firdiawan Ekaputra, Firdian Makrufardi

Health Professions Education

Climate change poses increasing risks to global health, highlighting the need for healthcare professionals who understand the links between environmental change and health outcomes. Medical education is a key platform for fostering such competencies. This study aimed to examine the role of climate change education within medical curricula, focusing on its integration, the promotion of interdisciplinary collaboration, and its contribution to preparing students for emerging health challenges. This perspective paper provides an overview of current approaches to the integration of climate change education into medical training. Sources addressing curriculum design, knowledge acquisition, practical skill development, and collaborative learning were considered. …

Development Of An Atmospheric Particle Imaging System (Apis), James W. Hebert

University of Kentucky Master's Theses

The study of atmospheric particulates plays a crucial role in both climate change studies and the improvement of hypersonic travel. The current issue at hand is a lack of knowledge of stratospheric particulate content and the high cost that is associated with conducting research at these altitudes. This project focuses on the development of an Atmospheric Particle Imaging System (APIS) to be a low-weight, low-cost optical payload. The goal is to make a device that can be mounted onto an uncrewed aerial system that has the capability of imaging particulates moving at steady flow velocities, and thereby characterize the individual …

Quantum Ai And The Future Of Corporate Law, Michael R. Siebecker

Cardozo Law Review

As quantum computing and AI surge toward mainstream adoption, how corporate directors satisfy their duties of care and oversight requires some fiduciary recalibration. The current fiduciary framework that allows directors to escape liability absent “gross negligence” or “utter failure” in oversight may no longer be defensible in a world where advanced analytics offer unprecedented capacity to model, monitor, and foresee significant corporate risks. Behavioral economics makes clear that humans (including corporate managers) remain vulnerable to a variety of biases and heuristics shortcuts in decision making. Technological evolution provides the means to correct such cognitive distortions if boards take an active …

Epidemiology Of Closed Ruptured Tendoachilles, Hesham Mousad Alsakaan, Wael Mansour Wafa, Mohieb Sayed Ahmed, Ahmed El Sayed Magdy Elhawary

Mansoura Medical Journal

Background: To restore tendon function and avoid long-term impairment, early diagnosis and adequate treatment are crucial. The purpose of this study was to ascertain the incidence pattern of ATR and to pinpoint possible variables related to presentation and management approach.

Aim  identifying potential risk factors either patient or environmental related and to assess the incidence rate of ATR

Patients and Methods: This retrospective cross-sectional study was performed on 87 achilles tendon rupture patients. All the patients were subjected to full medical history taking. Clinical examination was performed including thompson test and Matles test and radiological investigations.

Results: The median age …

A Dataset-Centric Analysis Of Evaluation Protocols In Face Morph Attack Detection, Sheerko R. Hmasalah, Abdulbasit K. Al-Talabani, Aras T. Asaad

Polytechnic Journal

Face morph attack detection (MAD) is often evaluated using datasets collected from diverse sources, created for different purposes, and acquired under varying conditions. This heterogeneity raises questions about how evaluation protocols and dataset characteristics influence reported performance. This work adopts a dataset-centric perspective to analyze the effects of evaluation protocol and dataset composition, including visual quality and morph-to-genuine imbalance, on MAD performance. Experiments are conducted on eight datasets and four morphing techniques using a fixed pipeline evaluated across six backbones, including Vision Transformer (ViT) and five CNN architectures, and ten evaluation scenarios covering homogeneous and heterogeneous cross-morph generalization. Performance is …

Influences On Student College-Major Decision And Satisfaction Rate Among Students In The School Of Agriculture, Danielle Shafer

Murray State Theses and Dissertations

The purpose of this study was to determine the factors that influence students to choose agriculture majors and agriculture careers and measure the level of satisfaction with their major based on these influences. There are many factors that influence students to choose a major in college and college-major satisfaction. These influences and satisfaction with major may have an impact on a student’s decision to choose a college career path. Some of the influences mentioned in studies are family, friends, educators, extension programs, clubs, financial, and recruitment efforts. The degree to which each of these influence students may depend on the …

Autotheme: A Multi-Agent Framework For Inductive Thematic Analysis With Llms, Abdullah Wahbeh, Omar El-Gayar, Mohammad Al-Ramahi, Tareq Nasralah, Ahmed Elnoshokaty

Research & Publications

Thematic analysis is a qualitative research method used to identify and interpret patterns in textual data. However, it can be time-consuming and challenging to replicate. While recent advancements in large language models (LLMs) and generative AI have enhanced thematic analysis, existing methods often rely on prompt-based interactions and require significant human intervention. This paper introduces an agentic AI framework comprising autonomous, goal-directed agents powered by LLMs to perform inductive thematic analysis with minimal human input. We evaluate the framework using a dataset from a Cognitive Behavioral Therapy (CBT) mobile app and compare the results with those from Latent Dirichlet Allocation …

Highlighting Ai Competencies: A Qualitative Analysis Approach Using Ai Agents, Ahmed Elnoshokaty, Omar El-Gayar, Abdullah Wahbeh, Mohammad Al-Ramahi, Tareq Nasralah

Research & Publications

The rapid advancement of Artificial Intelligence (AI) is reshaping the job market, creating a demand for new skills and competencies in AI and machine learning (ML). As academic institutions strive to align educational programs with industry needs, a clear understanding of job market expectations becomes essential. This study employs a qualitative, grounded theory approach, enhanced by large language models (LLMs), to analyze job postings related to AI. Using a custom coding framework and AI agent arbitration, we extract and classify the competencies sought by employers into eight major categories. Key findings emphasize the significance of technical skills, including system analysis, …

Project Management For Blockchain: Strategic Guidance And Lessons From Practice., Cherie Noteboom, Aravindh Sekar, Deb Tech

Research & Publications

Blockchain technology (BCT) offers powerful solutions to long-standing enterprise challenges such as inefficiencies, lack of transparency, and low stakeholder trust. By enabling secure transaction tracking and real-time data sharing, BCT can improve operational accuracy, streamline workflows, and build confidence across organizational ecosystems. However, the implementation of BCT significantly transforms conventional project management strategies and practices. We propose practical recommendations for each stage of the process group of the project life cycle- Initiating, Planning, Executing, Monitoring & Controlling, and Closing to meet the demands of decentralization, interoperability, and continuous ecosystem coordination inherent in the implementation of BCT projects. Grounded in practitioner …

Blockchain As A Digital Coordination Infrastructure For Project Management: A Systematic Review And Integrative Framework,, Cherie Noteboom, Sai Neelima Seru, Aravindh Sekar

Research & Publications

Blockchain technology has gained increasing attention as a digital infrastructure capable of improving transparency, trust, and coordination in complex, multi-organizational project environments. However, existing research on blockchain-enabled project management remains fragmented and industry-focused, providing limited guidance for organizational adoption and integration. This study addresses this gap through a systematic literature review of 29 peer-reviewed studies, following PRISMA guidelines, to examine how blockchain capabilities are incorporated into project management practices across industries and maturity stages.

Grounded in Resource-Based View and Coordination Theory, the analysis employs a feature-to-process mapping approach to link six core blockchain capabilities—decentralization, transparency, immutability, smart contracts, traceability, and …

The Datafied Child: A Systematic Literature Review And Research Agenda On Sharenting, Privacy, And Social Media., Kyle Bittle, Cherie Noteboom

Research & Publications

Sharenting, the parental practice of sharing children's personal information online, raises critical privacy, ethical, and regulatory concerns. This systematic literature review and research agenda examines how sharenting is studied, analyzing theoretical frameworks through an information systems (IS) lens. Findings identify five key themes—privacy management, identity presentation, consumer vulnerability, social influence, and parenting ethics—shaped by broader technological, social, and regulatory forces. To structure these insights, this study introduces a three-domain framework to categorize how digital infrastructures, cultural norms, and policy gaps influence sharenting behaviors. The review highlights limited IS engagement in sharenting research and underscores the need for greater focus on …

Decentralizing Work: How Blockchain Reshapes Project Coordination, Trust, And Accountability Through The Strategic-Decentralized Resilience Theory (Sdrt), Aravindh Sekar, Cherie Noteboom

Research & Publications

Blockchain adoption is reshaping how work is organized, coordinated, and governed in project environments. Existing research, however, has largely focused on the methodological and theoretical trends in blockchain-based project management rather than on how blockchain modifies the very structure of work. Building on a systematic literature review of blockchain project management research, this paper draws on the Strategic–Decentralized Resilience Theory (SDRT) as an integrative framework to explain work modification in decentralized project contexts. SDRT captures three interlinked dimensions of resilience: strategic resilience (leadership, alignment, and adaptability), organizational resilience (collaboration, training, and ecosystem readiness), and decentralized resilience (distributed governance, trust, and …

Constructing Information Systems: Technology Frames And Career Interest Among Middle School Students, Cherie Noteboom, Sai Mounika Chintalapudi

Research & Publications

The Information Systems (IS) discipline faces ongoing challenges in attracting students to the field despite its growing societal importance. Previous studies have examined how factors such as gender gaps and STEM identities shape career aspirations; however, there is limited understanding of how early interpretations of the IS discipline shape career interest. This research adapts the TFR (Technology Frames of Reference) theory to examine how middle school students develop understandings of IS. Using qualitative survey data through a deductive approach to identify the Nature of IS, the Purpose of IS, and IS-in-Use, misalignment, and career interest. Misalignment reflects limited knowledge of …

From Ai Ethics To Ethical Misalignment: Understanding Emerging Risks In Agentic Ai Systems, Deb Tech, Aravindh Sekar

Research & Publications

The emergence of Agentic AI systems is reshaping organizational processes through continuous adaptation, autonomous coordination, and real-time operational execution. Unlike traditional artificial intelligence applications focused on discrete decision-making tasks, Agentic AI systems operate continuously and interact dynamically with organizational environments. Existing AI ethics literature has primarily emphasized issues such as fairness, bias, transparency, and accountability within static or decision-centric AI contexts. Similarly, traditional AI alignment research has largely focused on ensuring that AI systems pursue intended goals and remain controllable under specified operational conditions. However, these approaches may be insufficient for explaining how ethical risks evolve with continuously operating autonomous …

Regulating Robotaxis, Bryant Walker Smith, Matthew T. Wansley

Articles

In several sunbelt cities, commercial robotaxi service has arrived. The leading robotaxi company is providing over 400,000 trips per week. The industry claims that robotaxis will save lives and provide convenient and affordable mobility. Critics counter that they will increase congestion, undermine transit, and subject the public to ubiquitous surveillance. We argue that the social impact of robotaxis depends on how they are regulated. We emphasize two points missing from the debate. First, some of the benefits of robotaxis may be political rather than technological—some longstanding public policy goals may become viable in a robotaxi world. Second, letting one private …

Microsponge Technology: A Comprehensive Review Of Advanced Drug Delivery - From Formulation Science To Therapeutic Applications, Akash Pawar, Nagesh C, Sunil Attimarad, Suma Naduvinamani, Savita Ullegaddi

Manipal Journal of Medical Sciences

Microsponge technology has emerged as a promising drug delivery system due to its unique porosity structure, linked pores and large surface area. These features allow effective drug loading, encapsulation, and sustained drug release, making microsponges suitable for pharmaceutical and cosmetic applications. Their structural integrity provides controlled release profile and prevents deep penetration, localizing drugs in the epidermis. Its versatility allows incorporation into topical and oral forms, addressing limitations of traditional systems such as unwanted side effects, greasiness, or odor. Multiple fabrication methods including liquid–liquid suspension polymerization and quasi-emulsion techniques produce robust, cost-effective microsponges. Standard evaluation includes particle size, drug loading, …

Multihoming And Single-Homing Complementors' Responses To Intensified Between-Platform Competition: Evidence From The Youtube–Twitch Rivalry, Niloofar Abolfathi

Research Collection Lee Kong Chian School Of Business

Research Summary: This paper examines how heterogeneous YouTube content creators-specifically, single-homing and multihoming channels-respond to a sudden increase in the exposure of the rival platform, Twitch. Contrary to expectations, I find that multihoming channels reduce their content creation efforts and underperform relative to single-homers. To make sense of these surprising results, I develop a formal model that characterizes the strategic behavior of different types of complementors operating across two platforms with varying levels of user exposure. The model offers a plausible explanation for the observed empirical patterns, suggesting that intensified competition between platforms, as a consequence of their changing exposure, …

Comparative Finite Element Method-Based Optimisation Of Coir Fibre Laminates: Aluminium Skins Versus Carbon Cloth Skins, Muhamed Swaleh Ahmed, Bernard Wamuti Ikua, Abel Nyakundi Mayaka

Mansoura Engineering Journal

Natural fibre composites offer a sustainable alternative to conventional composite materials. Their mechanical efficiency is influenced by laminate structure and skin material selection. This study presents a comparative finite element analysis and optimisation of coir fibre-reinforced laminates employing either aluminium skins or carbon cloth skins. COMSOL Multiphysics was used to determine their mechanical response. Optimisation was performed using the BOBYQA algorithm to enhance load sharing between the coir core and skin materials. Results indicated that aluminium-skinned laminates achieve superior compressive and flexural performance, achieving a peak compressive strength of 210 MPa and sustaining a flexural load of 0.65 kN at …

Green Hydrogen-Based Decarbonization Approach For Steel Industry With Hybrid Renewable Energy Sources, Raju Kumar Maurya, Dharmbir Prasad, Rudra Pratap Singh

Mansoura Engineering Journal

This work provides a micro-pilot techno-economic and environmental assessment of a green hydrogen-driven decarbonization scenario for low-carbon steel production at the capacity of 1 ton steel produced (i.e., requiring 50 kg of green hydrogen). In this work an integrated renewable energy (RE) scenario for the steel production site at Jamuria, West Bengal, India is planned to utilize solar photovoltaic (PV), wind turbines (WTs), battery storage and a diesel backup generator to meet the hydrogen production load from an electrolyzer using HOMER Pro software. The results show that the proposed micro-pilot system produces excess electricity with respect to the plant's operating …

Hall Current And Nth Order Chemical Reaction Effects On Unsteady 3d Mhd Williamson Nanofluid Flow With Thermophoresis And Brownian Motion Over An Inclined Stretching Sheet, Polavarapu Sudheer, Ramachandra Reddy Vaddemani, Raghunath Kodi

Mansoura Engineering Journal

This study examines the influence of Hall current and nth-order chemical reaction on unsteady three-dimensional magnetohydrodynamic (MHD) Williamson nanofluid flow over an inclined stretching sheet. The model incorporates thermal radiation, heat source, Brownian motion, and thermophoresis effects. The governing nonlinear partial differential equations are transformed into a system of ordinary differential equations using similarity transformations and solved numerically using the shooting method with a fourth-order Runge–Kutta scheme. The results indicate that an increase in the magnetic parameter significantly reduces velocity profiles while enhancing temperature and concentration distributions. The Hall parameter reduces surface drag and improves heat transfer, while decreasing mass …

An Intuitionistic Fuzzy Hypergraph Model Enhanced ‎By Forest-Of-Walks Dynamics For Medical Image ‎Segmentation, Brinthaguru Thangaraj, Karthick Palanisamy

Mansoura Engineering Journal

The process of accurately segmenting Urolithiasis and pulmonary nodules from medical images presents significant difficulties because of three main factors which include nonuniform intensity distribution and the presence of weak object borders and the uncertainty caused by anatomical structure overlaps. The study introduces F-Zinhger as a solution to these problems through its application of the Forest of Walks technology. The method uses superpixels as fundamental elements which form a multi-scale hypergraph that establishes hyperedges through three criteria: intensity similarity, spatial proximity, and Z-intuitionistic fuzzy hesitation to capture complex contextual connections. The system incorporates a random walk-based label propagation system. The …

Reliability-Oriented Spatiotemporal Machine Learning For High-Impact Power Outage Event Prediction, Marwa Gamal

Mansoura Engineering Journal

Power outages have become an increasing concern for modern power systems due to their impact on infrastructure reliability, economic activities, and public safety. The growing frequency of extreme weather events and the rising demand for electricity have made it more difficult to anticipate high-impact outage events. One of the main challenges in this context is the complex interaction between temporal patterns and geographic variations, which traditional methods often fail to capture effectively. This study develops a machine learning framework that combines temporal characteristics with geographic information to improve the prediction of high-impact power outages. Temporal features such as seasonal patterns, …

Construction-Phase Leed Compliance In Egypt: Development Of A Rule-Based Expert System For Contractor Decision Support, Mohamed R. Ahmed, Atef A. Ragab, Sameh Y. Mahfouz

Mansoura Engineering Journal

This study develops a rule-based expert system implemented in Python to support contractors in achieving LEED BD+C: New Construction v4 certification during the construction phase in Egypt. The research identifies and validates construction-phase obstacles affecting LEED compliance through a structured questionnaire targeting building contractors in Egypt. The questionnaire process was conducted in two stages: a pilot survey was used to screen and refine the initially identified obstacles, while the main survey was used to validate the practical relevance of the retained obstacles within the Egyptian construction context. In parallel, the study analyzes construction-phase prerequisites and credits relevant to contractors through …

Recycling Of Plastic Into Fibers Using A Novel Machine Design And Analysis Of Fiber Characteristics, Mahmoud Khamees, Nasser Ayoub, Sabreen Addullah Abdelwahab, M. M. Maghawry

Mansoura Engineering Journal

This study presents a modified extrusion-based recycling system with an improved nozzle design and controlled fiber production capability. The machine was conceptualized and fabricated to efficiently process waste plastic and extrude it into fibers of varying diameters. The study focuses on evaluating how fiber diameter influences critical material properties. Microstructural analysis by scanning electron microscopy (SEM) was conducted to investigate the morphology and fiber diameters, while tensile testing provided insights into mechanical performance, including strength and elongation. Moisture absorption tests were also performed to assess durability and environmental resistance. The results demonstrate clear correlations between fiber diameter and the examined …

Reducing Stigmatism In Suboxone Users, Jessica S. Lovelace

Doctor of Nursing Practice Projects

Purpose: To assess the impact of an evidence-based educational intervention to decrease provider stigma of patients on buprenorphine for opioid use disorder in a primarily rural primary care setting.

Methods: This quality improvement project used a pre- and post-intervention design to assess knowledge, attitudes, stigma, and confidence to care for patients with opioid use disorder of four providers from four rural health care facilities. The providers completed a survey before and after a 60-minute educational intervention that covered topics such as medication for opioid use disorder, patient-centered communication, and evidence-based prescribing practices for OUD. Providers were also assessed 8 weeks …

A Systematic Review On Niosomes: Composition, Preparation, And Applications, Sanket Gawade Mr., Sunil Attimarad, Vishakha Desai Ms.

Manipal Journal of Medical Sciences

Conventional drug carrier systems are restricted owing to poor bioavailability, weak stability and non-specific localization, which causes systemic toxicities and reduced therapeutic efficacy. Niosomes, one of the nonionic surfactant vesicular systems, have been suggested that value to overcome these constraints. In this review, we give an account of recent progress in niosome research, highlighting their merits, composition, characterization, and applications.

Niosomes offer several advantages including increased drug bioavailability, targeted delivery and reduced toxicity. Bilayered niosomes can entrap both hydrophilic and lipophilic drugs, therefore allowing simultaneous delivery of actives components. We provide an overview of various techniques for niosome preparation including …