Digital Commons Network^™

Ceramic Dielectrics For High Temperature Capacitor Applications, Alan Daniel Devoe

Doctoral Dissertations

Technical progress in microelectronics is allowing operation in environments that were previously considered impossible. Building complete electronic circuits for applications above 450 degrees C, such as the planned NASA missions to Venus, require a variety of active and passive components, including multilayer ceramic capacitors (MLCC).

This study explores calcium zirconate CaZrO3 and magnesium oxide MgO based dielectric compositions for MLCC applications that are capable of operating at extreme temperatures between 450 degrees C and 600 degrees C. Both materials were characterized with respect to impurities, dopants, crystal structure and microstructural development. Dielectric properties were measured to determine permittivity, dissipation factor, …

Development Of Catalytic Membranes And Composites For Energy Storage Devices And Nonenzymatic Biosensors, Harish Singh

Doctoral Dissertations

The excessive use of fossil fuels has led to their rapid depletion, causing an energy crisis and environmental issues. Consequently, there's a growing focus on sustainable energy conversion. Electrocatalysts are pivotal in this development, particularly for fuel cells and solar fuel generators, necessitating high-efficiency, cost-effective catalysts for large-scale adoption. Transition metal chalcogenides have emerged as promising electrocatalysts due to their high efficiency, electrochemical tunability, and abundant active sites. This work is divided in two parts. In Part A, we have investigated transition metal chalcogenide and few atom clusters FACs as electrocatalysts for oxygen evolution and reduction, highlighting their structure-property relationships …

Enhanced Optimization Of Mass Transfer For Carbon Capture And Wastewater Remediation In Algal Systems Through Algorithmic And Bioprocessing Techniques, Peter Ofuje Obidi

Doctoral Dissertations

The scalability and industrial deployment of algal cultivation systems are limited by suboptimal mass transfer, constraining their effectiveness in carbon capture and wastewater remediation. This research investigated these challenges through integrated optimization methodologies that combine algorithmic frameworks with enhanced bioprocessing techniques to enhance efficiency, economy, and scalability. A System-of-Systems (SoS) meta-architecture was developed using genetic algorithms and fuzzy assessor functions to demonstrate a pathway toward cost reduction. Rigorous mechanical and chemical characterizations were quantitatively analyzed to reveal existing optimization strategies and further evaluated the best strategies to use in enhancing mass transfer for improved biomass yield. The work also integrates …

Supporting Human-Ai Interaction From User Expectations To Mental Models, Harishankar Vasudevanallur Subramanian

Doctoral Dissertations

Explainable AI (XAI) aims to unravel the "black box" nature of AI systems and provide insights into the inner workings that lead to a prediction. However, the best XAI communication varies depending on the individual, task, and broader context. It is challenging to anticipate the best XAI for a particular use case. One strategy is for users to build an appropriate mental model of AI with both prediction and system level XAI. To date, little research has focused on quantitatively measuring users interacting with system-level XAI. This dissertation has three primary contributions. The first contribution is a scoping review paper …

Nutrient Fate, Mass Balance, Species Selection, And Plant Management Strategies With Floating Treatment Wetlands, Carla Campbell

Doctoral Dissertations

Excess nutrients in shallow urban ponds can lead to harmful algal blooms, low dissolved oxygen, and internal phosphorus cycling. These effects can compromise municipal water supplies and cause negative impacts on fisheries and recreation. Floating treatment wetlands (FTWs) show promise to mitigate surface water nutrient pollution. However, despite recent research, many aspects of FTWs remain poorly characterized. The contribution of FTW components to nutrient removal, local species selection, and plant management strategies were the focus of this dissertation. Mesocosm experiments revealed that the combination of plants and coir fiber growth media in FTWs appeared to positively affect plant biomass gain …

Synthesis Of Graphene Using Carbonaceous Materials In An Ultrasonic Reactor, Paul Chukwuma Ani

Doctoral Dissertations

The synthesis of high-quality graphene from sustainable carbonaceous feedstocks offers an avenue to reduce the environmental and economic costs associated with conventional graphite-based production. This research investigates the co-utilization of biochar and graphite as precursors for graphene fabrication in an ultrasonic reactor. Biochar was produced from biomass via downdraft gasification at 850 °C, yielding a high fixed-carbon, partially graphitized material with favorable surface area and porosity. Graphite, selected for its crystalline structure, was investigated with biochar to assess the influence of precursor composition on exfoliation efficiency, layer thickness distribution, and defect density. Ultrasonic-assisted liquid-phase exfoliation was employed, with process parameters …

Radio Frequency Wave Propagation Modeling Within Obstructed Underground Mining Environments For Effective Miner Localization During Mine Emergencies, Emmanuel Atta Antwi

Doctoral Dissertations

The reliability of underground wireless communication systems remains a significant challenge, particularly during emergencies when the mine environment becomes severely obstructed by debris, dust, and humidity. These environmental and geometric conditions result in significant attenuation of electromagnetic (EM) waves and multipath effects that undermine miner localization and rescue operations. Existing Vector Parabolic Equation (VPE) models are efficient for straight or mildly curved tunnels but fail to account for the random and obstructive conditions typically encountered during underground emergencies. This research develops a novel radio propagation model for EM wave behavior in underground mine drifts under geometrically obstructed conditions. The model …

Political Elites And Attitudes Toward International Organizations In The Trump Era, Ping Xu, Nina Küssau, Ashlea Rundlett, Brendan Skip Mark, Caroline Fowler, Brian Krueger

Political Science Faculty Publications

Objective: This study examines how political elites influence public opinion on international organizations (IOs), focusing on the impact of President Donald Trump's rhetoric on attitudes toward the World Health Organization (WHO), UN, and North Atlantic Treaty Organization (NATO).

Methods: Using data from the 2020 American National Election Studies (ANES), we analyze the relationship between Trump support, political knowledge, and public evaluations of these IOs.

Results: We find a significant “Trump effect” on attitudes toward all three IOs. Trump supporters exhibited significantly lower evaluations of the WHO, UN, and NATO. Moreover, highly knowledgeable Trump supporters were even more …

“Immigrationalization” Of The Welfare State: Contextual Influences On Welfare Politics In The United States, Ping Xu, Belinda Davis, James Garand

Political Science Faculty Publications

While prior studies have consistently linked immigration attitudes with public support for the welfare state, it is not yet clear how individuals process immigrant-related information in their home contexts and combine that with their existing immigration attitudes to update their attitudes toward the welfare state. In this paper, we consider how context (i.e., immigrant welfare participation rates in individuals’ home states) works in tandem with immigration attitudes to shape Americans’ support for the welfare state. We merge state contextual data on the welfare consumption rates of immigrants with micro-level public opinion data from the Cumulative American National Election Survey (CANES) …

Artificial Intelligence In Warfare: The Case Of The Russia-Ukraine War, Baurzhan Rakhmetov, Kamila Murzagulova

Journal of Strategic Security

The last decade has marked the rise and integration of artificial intelligence (AI) across various spheres. Nowadays, militaries worldwide apply AI to optimize and revolutionize warfighting tactics. The war in Ukraine has shown how AI-driven technologies enhance traditional military equipment, such as by automating drone take-off, landing, and even targeting. Moreover, AI has begun to play a crucial role in information warfare, enabling both sides to manipulate public opinion, destabilize adversaries, and mislead populations, but also counter disinformation. This qualitative study analyzes the approach to AI integration in information and kinetic warfare by both sides of the Russia-Ukraine conflict, forecasts …

Does Exclusive Breastfeeding Duration And Quality Affect Maternal Sensitivity: Fear Vs. Normative Situations, Camila Herrera Zamora

Electronic Theses and Dissertations 2020 - Present

The present study examined whether exclusive breastfeeding duration and perceived breastfeeding quality predict maternal sensitivity across emotionally challenging versus normative caregiving contexts in infancy. Twenty-four mother–infant dyads participated in three laboratory visits during which maternal sensitivity was assessed across interaction conditions. It was hypothesized that (1) longer breastfeeding duration would be associated with greater sensitivity during fear-inducing contexts, (2) breastfeeding duration and quality would interact to predict sensitivity, and (3) sensitivity would be higher during fear-inducing situations. Contrary to expectations, maternal sensitivity was highest in the normative/free-play condition and increased over time, peaking at 14 to 16 months. Exclusive breastfeeding …

A Primer On Anatomy, Biophysics, Pathology, Imaging And Treatment Of The Intervertebral Disc And The Anterior Spinal Column: The Discogenic, Intervertebral, Spinal Column (Disc) Aspn Workgroup., Jay S Grider, Timothy R Deer, Douglas P Beall, Melissa Z Murphy, Jacob W Fleming, Steven M Falowski, Christopher J Mallard, Hamzah A Ramawad, Rosa Amelia Garcia, Usman Latif, Chau M Vu, Anne Christopher, Michael E Harned, Raj G Patel, Anuj J Shah, Iden M Cowan, Kristin Jarzombek, Jordan L Tate, Nasir Khatri, Mateusz J Graca, Marcin K Karcz, Timothy T Davis, Kaku Barkoh, Olivier Clerk-Lamalice, Brian Durkin, Mark N Malinowski, Dagmar K Gross, Thomas Hedman, Matthew Green, Michael J Dorsi, Kasra Amirdelfan, Dawood Sayed

Surgery Articles

OBJECTIVE: As therapeutic options are rapidly expanding to treat pain of discogenic and vertebrogenic origin, it is important for the clinician to have an evidence-based understanding of the latest information regarding the normal and pathological anatomy of the intervertebral disc as well as imaging characteristics and treatment strategies. The American Society of Pain and Neuroscience (ASPN) commissioned the DISC project to inform and update the interventional spine community about anterior column pain syndromes.

METHODS: Using established literature review methods a clinical oversight group was convened to create an outline covering topics that will be key to meeting the objectives delineated …

Knowledge-Sharing Behaviour Within A Non-Profit Organisation: A Reflexive Thematic Analysis, Paul Mcmanus, Serge Basini, Aidan O'Driscoll

Research Outputs: 2025-Present

Despite their heterogeneous compositions, non-profit organisations (NPO) are inherently knowledge-centric, necessitating continued exploration into the influential constructs that shape knowledge-sharing (KS) behaviour among employees. This study offers an in-depth examination of KS behaviour within a community-based service provider in Dublin, Ireland. Using a novel approach to Reflexive Thematic Analysis (RTA), data collection consisted of seventeen semi-structured interviews across multiple locations. Findings show that four overarching themes explain how and why knowledge is shared in this organisational context. The four themes developed through rigorous RTA offer the organisation a greater understanding of its employees’ KS behaviours. Practical recommendations are provided to …

Theoretical And Experimental Investigation Of Slanted Volume Transmission Gratings For Holographic Gas Sensing, Graceson Antony, Dervil Cody, Svetlana Mintova, Izabela Naydenova

Articles

Slanted photopolymer-based diffraction gratings can undergo instant and quantifiable analyte-induced changes in both grating diffraction efficiency and peak reconstruction wavelength. This makes them an attractive option for gas sensing applications. The underlying mechanism for the sensor response is, however, poorly understood due to its complexity; the gaseous analytes produce simultaneous changes in multiple grating parameters (refractive index, thickness, refractive index modulation, and slant angle). Here, a novel and robust approach to the experimental characterization and theoretical analysis of holographic gas sensors based on slanted volume transmission gratings is presented. Slanted transmission gratings were fabricated in both undoped and MFI nanozeolite-doped …

Modelling The Formation Of Unslanted Holographic Gratings In Hybrid Photopolymer Media, Jack Lyons, Dana Mackey, Izabela Naydenova

Articles

The theoretical modelling of holographic recording in photopolymers has been an important tool in their optimisation. More complex, hybrid organic/inorganic photopolymers have been developed in pursuit of materials with higher sensitivity, low shrinkage, high dynamic range and environmental stability. Recent attempts to augment the existing models for the redistribution of inorganic nanoparticles in holographic recording were successful but there is still a knowledge gap in regards to modelling optical losses, mutual cross-diffusion, the formation of slanted holographic gratings and polymerization induced shrinkage in hybrid photopolymer media. This paper will describe a novel approach to modelling the formation of unslanted holographic …

High Neuraxial Blockade In A Parturient After Epidural Placement: A Quality Improvement Simulation., Samir Patel, Noah D Le, John Carter, Nick Melott, Andrew Kalnow, Camille D Hawkins, Alexander Luong, Matthias Franzen

Medical Education Articles

Background Epidural anesthesia is a commonly used procedure in obstetrics for managing labor pain, with a potential complication of high neuraxial blockade. Proficiency in performing epidural or spinal anesthesia and promptly recognizing and managing high neuraxial blockade are critical components of anesthesiology residency training. Methods A simulated case was designed involving a 21-year-old female in labor receiving epidural anesthesia. After the administration of local anesthetic, she develops symptoms of nausea, hypotension, and respiratory distress, progressing to high neuraxial blockade. The simulation environment included a labor and delivery suite setup, an epidural cart, airway supplies, a Laerdal SimMan 3G PLUS mannequin …

Detection Of Radiosensitive Subpopulations Ex-Vivo With Raman Microspectroscopy, Aidan D. Meade, Adrian Maguire, Jane Bryant, Daniel Cullen, Dinesh Medipally, Lisa White, John Armstrong, Mary Dunne, Emma Noone, Shirley Bradshaw, Marie Finn, Aoife M. Shannon, Orla L. Howe, Fiona M. Lyng

Articles

Although significant advances in understanding the molecular drivers of acquired and inherited radiosensitivity have occurred in recent decades, a single analytical method which can detect and classify radiosensitivity remains elusive. Raman microspectroscopy has demonstrated capabilities in the objective classification of various diseases, and more recently in the detection and modelling of radiobiological effect. In this study, Raman spectroscopy is presented as a potential tool for the detection of radiosensitivity subpopulations represented by four lymphoblastoid cell lines derived from individuals with ataxia telangiectasia (2 lines), non-Hodgkins lymphoma, and Turner's syndrome. These are classified with respect to a population with mixed radiosensitivity, …

Transfection Of Ionizable Lipid Nanoparticles On Raw 264.7 And Mda-Mb-231, Lavanya Bhargava

Masters Theses

"This thesis investigates the preparation, characterization, and transfection efficiency of various ionizable lipid nanoparticles (LNPs) formulated for the delivery of mRNA encoding enhanced green fluorescent protein (EGFP) in RAW 264.7 macrophages and MDA-MB-231 breast cancer cell lines. The ionizable cationic lipid studied are ALC-035, C12-200, C14-4, PPZ-A10, DLin-MC3-DMA. The study addresses the need for effective gene delivery systems to provide a safe and versatile platform that protects and transports nucleic acids into target cells. LNPs were synthesized using microfluidic mixing methods, incorporating lipid components such as the cationic lipids, DSPE, DOPE, cholesterol and PEG lipids to achieve controlled particle sizes, …

Modeling Of Slot-Backed Microstrip Line For Emi Applications, Jongsuk Hyun

Masters Theses

Radiated emissions from printed circuit boards (PCBs) are a significant concern in electromagnetic interference (EMI) and radio frequency interference (RFI). Shielding cans are widely used to mitigate these emissions but evaluating requires accurate characterization of equivalent noise sources. Slot-backed microstrip antennas are employed for this purpose due to their near-zero height, low parasitic radiation, and PCB-compatible structure, offering a practical alternative to conventional loop antennas. This paper presents a physics-based analytical model that integrates both the discontinuity effects and radiated characteristics of slot-backed microstrip structures within a unified circuit framework. An analytical expression for the dipole moment is proposed based …

Characterization Of The Microstructural Changes Of Zrb2 Under Heavy Ion Irradiation For Molten Salt Reactor Applications, Narrie Loftus

Masters Theses

A primary challenge in finding suitable materials for Molten Salt Reactors (MSRs) lies in identifying those that concurrently exhibit high corrosion resistance, stability at elevated temperatures, resistance to radiation, and chemical compatibility with molten salts. 11B-enriched zirconium diboride (ZrB₂) is a potential candidate for applications in MSRs due to its unique combination of properties, including high melting point, high thermal conductivity, and resistance to corrosion in harsh environments. This ultra-high temperature ceramic (UHTC) has exhibited stability under extreme conditions, making it an attractive material for components within MSRs.

The microstructural response of ZrB₂ under heavy ion irradiation …

Augmentation Of Quality Of Service, Security, And Trust In Edge-Enhanced Iot Networks Leveraging Blockchain, Kyle Matthew Whitlatch

Masters Theses

The meteoric rise of the Internet of Things (IoT) has led to multiple architectural schemas to handle the data these devices create. Edge-enhancement is a technique where groups of IoT report to a median layer to aggregate the data before relaying to the endpoint. These edges also open opportunities to perform more operations to ensure devices are behaving properly before committing the data to long term storage. By interconnecting these edges with a technology like blockchain, it is possible to have an interconnected and responsive system to ensure the Quality of Service (QoS) of the IoT devices within the architecture …

Enabling Drone-Integrated Active Microwave Thermography Via A Slot Antenna Design, Alec P. Fitzmaurice

Masters Theses

Civil infrastructure inspection quality and inspector safety may be enhanced from the advancement in the capabilities of nondestructive testing and evaluation of remote or otherwise hard-to-reach areas such as nuclear power plants, wind turbines, bridges, or other civil infrastructure using drone-based Active Microwave Thermography (AMT). AMT is a nondestructive testing technique that utilizes high frequency energy (often radiated from an antenna) to induce heating in a specimen. Following this thermal excitation, an infrared camera is used to measure the resulting surface thermal profile. From this, defect indications may be detected. To enable drone-based deployment of AMT, where the antenna size …

Extraction And Separation Of Metal Cations From Synthetic Acidic Solutions Using Emulsion Liquid Membrane, Nouhaila Filali

Masters Theses

The work is organized into two main papers supported by experimental and comparative studies using Emulsion Liquid Membrane (ELM) systems. The first paper explores the individual extraction of heavy metals (Cd, Cr, As, Ni) from synthetic phosphoric acid using Alamine 336 and D2EHPA as carriers. Alamine 336 achieved the highest extraction efficiency (>90%) and stability, offering a promising route to reduce toxic impurities in fertilizer-grade acid. The second paper examines the selective separation of Ni2+ and Co2+ from various acidic solutions using the ELM configuration. Systematic variation of carriers, stripping agent and feed acidity, clarified transport mechanisms and stability, …

A Critical Review Of The Theory And Practice Of Local And Community Development As It Relates To South Dublin County, Paula Donovan

Masters

This research was undertaken in the context of the Local Government Reform Act 2014, which established new governance and management structures for local and community development in Ireland. The reforms included the establishment of Public Participation Networks (PPNs) and Local Community Development Committees (LCDCs), that were designed to work with Local Volunteer Centres, Local Development Companies, and the Local Authority, to bring about a more coherent and integrated approach to community development at local level. This research interrogates the evolution of the new framework, using South Dublin County as a case study. Linking theory, policy, and practice, it critically evaluates …

Assessment Of Bifidobacterium Longum Itt 13 As A Probiotic Candidate, Eleana Keatley

Masters

Probiotics are live microorganisms that when administered in adequate amounts confer a health benefit on the host. Beneficial microbes are found in several sites throughout the body such as the oral cavity, skin, respiratory tract, vagina, urinary tract, breast tissue and the gut. In this research, the culture Bifidobacterium longum ITT 13, which was previously isolated from a neonatal faecal sample, was examined for its potential as a probiotic candidate. Probiotics can have numerous desirable characteristics. The pertinent ones to this research are being of human or animal origin, not prone to antibiotic resistance, demonstration of antagonistic activity towards pathogens, …

Understanding The Duty Of Competence For Attorneys Using Generative Ai, Anna C. Conley

Faculty Law Review Articles

Ethical duties appear poised to be the primary regulatory tool for responsible use of generative AI (“GAI”) by attorneys. This reality necessitates a clear understanding of what the duty of competence requires for attorneys using GAI. Recent state bar and American Bar Association (“ABA”) guidance have coalesced around a foundational concept of informed decision-making, which requires that attorneys have sufficient knowledge about the GAI tool they are using and the specific task at hand to make an informed decision that employing the tool for that task is in the client’s best interests. Competence also requires attorneys avoid automation bias and …

Wglt Annual Report, 2025, Wglt, Illinois State University

WGLT Annual Reports

Annual report for WGLT, an NPR Network radio station licensed to and operating from Illinois State University.

Embodied, Intentional, Relationship‑Based: Utilizing The Delphi Method To Define Dance/Movement Therapy Supervision, Mariah M. Lefeber

Faculty Publications - Graduate School of Counseling

In this study, clinical supervision within dance/movement therapy is considered in depth. The lack of and need for a consistent theory of supervision in dance/movement therapy is highlighted, including both supervision outcomes and common techniques and approaches used within the discipline. A Delphi method study is used to determine the consensus on the topic of dance/movement therapy supervision from a panel of experts. As a result of the study, the expert panel comes to a consensus of 71 statements regarding dance/movement therapy supervision. These statements are interpreted, dance/movement therapy supervision is defined, and connections are drawn to the value of …

The Teacher Wellbeing Turn: Neuropolitics, Education And The Psy-Complex, Andrew W. Wilkins, Antonio Olmedo, Brad Gobby, Saul Karnovsky

Research outputs 2022 to 2026

Across the globe, governments are responding to a ‘teaching crisis’ marked by high attrition rates and labour shortages. This crisis can be attributed to macro changes in the economy (intensified by the shift towards high inflation, low growth economies post-COVID) and micro changes to the organisation and funding of schools with teachers experiencing stagnating wages and unmanageable workloads in punishing accountability environments. In this paper we examine how government and other authorities in England seek to manage the teaching crisis through diagnostic tools and skills training designed to measure and improving teacher wellbeing. This includes inciting new teacher subjectivities, namely …

Integrated Sensing And Covert Communications With Ris Adaptive And Non-Adaptive Modes, Jia Zhang, Dengfeng Zhang, Ke Liu, Jiande Sun, Min Li, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider an integrated sensing and covert communication (ISACC) system with a finite blocklength L aided by a reconfigurable intelligent surface (RIS) with N elements. Specifically, with the aid of RIS, a transmitter Alice is to sense the potential existence of a target, and she is also probabilistically trying to send information to a receiver Bob covertly (i.e., trying to hide her transmissions from a warden Willie). Meanwhile, Willie is to detect whether Alice is sensing the target only or conducting ISACC. We consider two RIS operation modes, i.e., a non-adaptive mode, where RIS employs a common …