Digital Commons Network^™

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 …

Thinking Machines: Cybernetics, Artificial Intelligence, And Technological Anxiety In The American Cold War, Erin Mae Wilcox

Theses and Dissertations

Following the Second World War, cybernetics emerged as a cross-disciplinary study in philosophy, neurophysiology, electrical engineering, and mathematics. Cyberneticists proposed the formal study of the man-machine analogy; that is, to equate biological structures to a complex mechanical system. Drawing from this analogy, cyberneticists used programmable digital computers to emulate the functions of the human brain. The study of artificial intelligence emerged within this cybernetic discourse in the early 1950s; yet, by the mid-1960s, the two disciplines suffered a methodological fracture. Drawing from a tradition generated by this fracture, historians have traditionally examined cybernetics and artificial intelligence in isolation from one …

Data Defines Success: Algorithm For Dataset Quality Assessment In Deep Learning For Malware Detection, Matei Ionescu

Theses and Dissertations

The field of artificial intelligence is based upon the premise of constructing architectures through which to propagate training data. However, the majority of existing research literature is focused on architecture. While necessary, the attention devoted to the architecture should not so precipitously exceed that of the data. It should be noted that this disparity is not without reasonable cause. Data quality is often exceedingly difficult to verify due to particularities of the field or subfield; LLM repositories of text are distinct from image recognition pictures of dog breeds which are distinct from EEG waveforms of human brains which are distinct …

From Deference To Dialogue: How International Gtas From High Power Distance Cultures Adapt To U.S. Classroom Dynamics, Deborah Akua Afi Appiah

Theses and Dissertations

International graduate teaching assistants (GTAs) from high power distance cultures play a significant role in undergraduate education at U.S. universities, yet they face challenges that go well beyond language proficiency. Coming from educational backgrounds where teacher authority is unquestioned and hierarchical, these GTAs must navigate American classrooms that operate on fundamentally different assumptions, where authority is earned rather than assumed, informality is the norm, and students expect to question, negotiate, and be personally known by their instructors. The present study examined how eighteen (18) international GTAs from seven (7) high power distance countries perceived and adapted to these differences while …

Data-Driven Partitioning In Distributed Optimization For Networked Systems, Prosper Azameti

Theses and Dissertations

The convergence behavior of distributed optimal power flow (OPF) depends strongly on how the power network is partitioned into regions. Classical graph-based methods such as METIS are widely used, but they rely mainly on static topological criteria and do not explicitly incorporate operating-point-dependent information that may affect distributed optimization performance. This thesis develops a data-driven partitioning framework for distributed OPF using graph neural networks (GNNs). Each OPF scenario is represented as a graph in which buses are nodes and transmission lines are edges. Node and edge features capture both structural and operational characteristics of the network. Partition prediction is formulated …

Enhancing Hospital Length Of Stay Using Ai Agent Modular Capabilities, Dami Fred

Theses and Dissertations

Hospital Length of Stay (LOS) analysis is essential for managing hospital efficiency and financial performance, yet the analytical depth required remains inaccessible to many organizations due to technical and resource constraints. This thesis introduces the AI Agent Modular Capabilities (AIAM) framework, which decomposes LOS analysis into discrete, codifiable capabilities integrated into a single skill activatable with one prompt. Seven AI Agent Modular Capabilities were developed using a Work Breakdown Structure and tested against a simulated hospital scenario across three successive skill versions. Results demonstrate that the packaged AIAM skill produces comprehensive, consistent, multi-section LOS analyses from a single interaction, outperforming …

Abject And Uncanny Manifestations Of Sexuality And Sexual Desire In Nineteenth-Century Gothic Literature, Varvara Kuznetsova

Theses and Dissertations

This thesis explores the ways in which psychoanalytic concepts of the abjection and the uncanny were used to depict monsters and monstrous bodies in nineteenth-century Gothic literature as a site of social, cultural, and sexual transgression. Through the intersections of queer theory, monster theory, and psychoanalytic theory, I examine and analyze depictions of women as monstrous figures in Samuel Taylor Coleridge’s Christabel (1816), Mary Shelley’s Frankenstein; or, The Modern Prometheus (1818), and Sheridan Joseph Le Fanu’s Carmilla (1872). In particular, I aim to detail how language and descriptions of women monsters become coded elements that reveal monstrosity and transgression.

Fostering A Growth Mindset In Mathematics: Faculty And Student Experiences, Yolanda G. Rush

Theses and Dissertations

According to the Center for Community College Student Engagement (2019), many students attending two-year institutions need productive persistence strategies, including the development of a growth mindset. Although some growth mindset interventions have been effective in improving academic achievement among students (Boaler, 2016; Canning et al., 2024) and persistence (Lewis, 2019) among students, especially those with developmental needs (Suh et al., 2019) and those in mathematics, little is known about the experiences of students and teachers (i.e., students’ perceptions of teachers’ intentions and implementation) as teachers work to foster a growth mindset culture (Murphy et al., 2021). In this dissertation, I …

The Role Of Non-Academic Staff In First-Year Retention At Regional, Comprehensive Universities, Marco A. Krcatovich Ii

Theses and Dissertations

Regional comprehensive universities (RCUs) serve a large share of U.S. undergraduates, yet the role of non‑academic staff in shaping first‑year retention remains understudied. This dissertation examines how staff diversity and staffing structures relate to student persistence using seven years of IPEDS panel data and Linear Mixed‑Effects Models. Analyses were conducted separately for residential and commuter RCUs to reflect their distinct engagement environments. Findings show that staff diversity is significantly associated with retention, though the direction and magnitude vary by campus type and staff role. Staffing structure also matters as higher proportions of full‑time staff are positively associated with retention at …

Pathways Through Barriers: A Qualitative Study Of Career Advancement Among International Graduates Of Illinois Public Higher Education Institutions, Tieola Lambey Requena

Theses and Dissertations

International students represented an important sector of the United States higher education and labor force ecosystem, contributing significantly to academic innovation, institutional diversity, and economic growth. Illinois, which is a major educational and industrial hub, attracted thousands of international students annually and played a critical role in the development of global talent essential to both the state and the national economy. Despite these contributions, international students faced persistent challenges when navigating career advancement in the United States. Recent immigration policy shifts intensified national security concerns and employer reluctance to sponsor visas, reframing international students from valued contributors to perceived labor …

Understanding Faculty Perceptions Of Shared Governance At A Four-Year Public University: A Case Study Of The University Of Ghana, Patrick Amponsah

Theses and Dissertations

The purpose of this qualitative single-case study was to explore how faculty at the University of Ghana perceive and experience shared governance, how it is practiced institutionally, and what outcomes they associate with it. Although shared governance is widely promoted as a democratic and collegial model of decision-making in higher education, its implementation remains underexamined. The study interviewed twelve (12) full-time faculty members who worked at the University of Ghana. Thematic analysis revealed ten interrelated themes, including structured participation with limited influence, shared governance as an opportunity for faculty input, and the presence of both collaborative attitudes and formal committee …

Exploring Culturally Responsive Faculty Practices That Support Student Success In Community College Classrooms, Mary Catherine Flynn

Theses and Dissertations

This qualitative study explored the culturally responsive teaching practices used by six community college faculty and instructors in their in-person courses. Faculty and instructors taught courses included in certificate and degree programs related to early childhood education, human services, and criminal justice at one midwestern community college. Specific content areas included sociology, political science, and child development. Data collection for this study included comprehensive interviews with each instructor, an analysis of documents including syllabi, student assignments, and assessments, and multiple classroom observations. This study was anchored in a theoretical framework based on the constructs of culturally responsive teaching practices. Each …

Staff Attitudes Toward Ai Adoption At A Private Research University, Ashley C. Smith

Theses and Dissertations

This study addresses the limited research on university staff attitudes toward artificial intelligence use and adoption. Using the Unified Theory of Acceptance and Use of Technology (UTAUT) research framework, the General Attitudes towards Artificial Intelligence Scale (GAAIS), and quantitative survey methodology, the study examines the attitudes of higher education staff toward AI, specifically examining whether demographic or professional characteristics are factors. The findings indicate that staff had moderately negative attitudes toward AI while also expressing some concerns. The results suggest that more resources and support for AI are needed for staff to address concerns. It also suggests that construct-level analysis …

First- And Second-Generation Immigrant Emerging Adults’ Career Aspirations, Laura A. Botros

Theses and Dissertations

Despite first- and second-generation immigrants making up 19.6% of the U.S. workforce (U.S. Bureau of Labor Statistics, 2024), research exploring their career aspirations is scarce. Studies show that individuals’ cultural backgrounds significantly shape first- and second-generation immigrants' career aspirations, values, and professional goals (Kao, 2004; Polenova et al., 2017). The purpose of the study is to examine how first- and second-generation immigrant emerging adults' cultural backgrounds inform their career aspirations. I utilized a qualitative approach by asking participants about their cultural background, career aspirations, and what influenced their career aspirations. Interviews and a cognitive map activity were conducted to investigate …

Data Utilization In Facilities’ Performance Management Decision- Making At U.S. Four-Year Public Institutions: A Cross-Sectional Exploratory Study, Tanaporn Supanichrattana

Theses and Dissertations

The growing complexity of higher education finance, aging infrastructure, and rising accountability expectations has intensified demands on facilities organizations to manage institutional assets strategically. As colleges and universities face sustained fiscal constraints and expanding operational pressures, the ability of facilities leaders to use data to inform performance management has become increasingly critical. Despite this importance, limited empirical research has examined how facilities leaders integrate data into decision-making within public higher education contexts.

The quantitative study employed a cross-sectional, exploratory survey design to investigate data utilization practices among facilities leaders at U.S. public four-year institutions. Guided by the Data–Information–Knowledge–Wisdom hierarchy and …

Customers' Perceptions Of Customer Service After The Covid-19 Pandemic, Marissa Young

Theses and Dissertations

This thesis examines how customers perceive customer service after the COVID-19 pandemic, using qualitative data from an open-ended survey to evaluate how expectations, experiences, and the meaning of service have shifted. The findings demonstrate that consumers view customer service as a holistic process influenced by interpersonal communication, operational efficiency, product availability, and pricing transparency. Participants emphasized both positive and negative encounters, stating that the COVID pandemic fostered lowered expectations due to staffing shortages and work stress, while also remaining observant of service inconsistencies. These results relate to theories of service quality, emotional labor, and organization-public relationships by illustrating how crisis …

We Can Fix It: How Right To Repair Policy Is Enacted In Different States, Zachary Ryan Johnson

Theses and Dissertations

This thesis explores early signs of policy diffusion within right to repair legislation across 10 states. Data points from each bill includes the devices protected, exempted, vote share of Republican legislators, parts pairing bans, and other provisions of bills. Bills that pass have unique aspects that show signs of policy learning from successive states. This thesis seeks to establish a framework for future research to explore policy diffusion in a new area of consumer protection.

Theoretical Analysis Of Filtering And Smoothing Techniques In Stochastic Time Series, Kaosarat Bola Azeez

Theses and Dissertations

Polynomial-preserving linear filters are fundamental tools for smoothing and trend extraction in noisy time series, particularly when the objective is to reduce short-run variation without distorting underlying low-degree structure. This thesis develops a general framework for such filters based on local polynomial approximation and least-squares estimation. In particular, we establish that the resulting estimators can be represented as symmetric linear filters whose weights satisfy moment conditions that ensure exact polynomial reproduction up to a specified degree. Building on this framework, we derive explicit coefficient vectors for several classical smoothing filters, including the Savitzky-Golay filters SG(5,2) and SG(7,3), as well as …

Schiff Bases As Versatile Platforms: From Multinuclear Dysprosium Complexes To Halogen-Mediated Quasiracemic Crystal Engineering, Macy M. Michorczyk

Theses and Dissertations

Understanding the factors that govern molecular assembly is fundamental in both coordination chemistry and crystal engineering. This thesis investigates these processes through two studies that employ single-crystal X-ray diffraction to elucidate the structural principles underlying the formation of multinuclear metal complexes and the crystal packing of quasiracemates.

The first study examines the unexpected formation of multinuclear metal complexes. Structural characterization of a series of dysprosium complexes was used to compare molecular architectures and identify structural relationships that support a proposed pathway of formation. These findings shed insight into the assembly process that may have lead to their formation.

The second …

From Rocks To Rockets: How Mineral Wealth Fuels The Arms Trade, Samuel G. Majka

Theses and Dissertations

This study addresses a critical gap in the resource curse literature by examining how strategic mineral wealth, central to the global clean energy transition, influences international arms transfers. While the relationship between oil rents, militarization, and conflict is well-established, the role of non-hydrocarbon resources and conflict-related variables remains underexplored. This paper posits that mineral rents provide governments with unearned, discretionary income, relaxing fiscal constraints and creating powerful incentives for both resource-rich states and major power suppliers to increase arms flows to secure political control, suppress internal dissent, and maintain access to valuable deposits. Using a country-year panel dataset spanning 1990-2023 …