Digital Commons Network^™

Influence Of Synthesis Parameters On The Structural Formation Of Mayenite Via The Citrate Sol-Gel Method, Büşra Eryildirim, Nuray Oktar, Doruk Doğu

Turkish Journal of Chemistry

Mayenite (Ca12Al14O33) has remarkable properties such as high oxygen mobility, ionic conductivity, and catalytic activity. It has many different applications, including oxide-conducting electrolytes, fluorescent lamps, moisture sensors, hydrogen-permeable membranes, oxygen pumps, hydrogen storage, and catalysis. However, pure and homogeneous mayenite synthesis parameters have not yet been fully explored. This study examines the effect of synthesis parameters including metal salt (MS) to citric acid (CA) molar ratios (1:1 and 1:2), pH (0.4–2), and calcination temperature (900–1200 °C) in citrate sol-gel method on the crystal structure of mayenite. Synthesized materials were examined by thermogravimetric (TG), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), …

A Disposable Biosensing System For Analysis Of Ca125 In Real Human Serum Samples, Meltem Afşar, Berfi̇n Vural, Meli̇ke Bi̇lgi̇ Kamaç, Mustafa Kemal Sezgi̇ntürk

Turkish Journal of Chemistry

Several biomarkers have been developed to track the development of ovarian cancer and identify the illness at an early stage. A promising development for ovarian cancer is using cancer antigen 125 (CA125). The objective of this work is to identify the CA125 marker by utilizing an indium tin oxide polyethylene electrode. The advantage of the designed biosensor is that it is very cheap, disposable, practical, and easy to use. The necessary parameters for the developed biosensor have been optimized in detail. Repeatability, reproducibility, regeneration, storage, and selectivity studies have been completed to characterize the proposed biosensor. Electrochemical impedance spectroscopy and …

Origin Of The World-Class Eagle, Eagle East, And Tamarack Ni-Cu-Pge Deposits, Robert Nowak, Chad Deering, Espree Essig

Michigan Tech Publications

The 1.1 Ga Mesoproterozoic Midcontinent rift hosts the Eagle, Eagle East, and Tamarack Ni-Cu-PGE deposits and Embayment Prospect. These deposits are hosted by ultramafic igneous rocks and have some of the highest Ni-Cu grades on Earth. We use new bulk-rock data and published datasets (bulk-rock, mineral chemistry, and isotopic analyses) to examine major, minor, and trace element trends of both Midcontinent rift-related alkaline and tholeiitic intrusions. In addition, we compare the geochemical data to local kimberlite-hosted lower-crustal xenoliths and local igneous (Archean) and sedimentary (Paleoproterozoic) country rocks. We found the peridotite magma compositions dominantly consist of primitive mantle compositions with …

Using Individualised Bowel Care Plans To Improve Clinical Outcomes In Specialist Intellectual Disability Mental Health Units In England And Wales: Quality Improvement Project, Rohit Shankar

Peninsula Medical School

Background Constipation is a significant problem for people with intellectual disabilities, with a prevalence of 33-50%, causing at least five deaths annually in England. Individualised bowel care plans (IBCP) are recommended in England and Wales. Aims We evaluated the feasibility and impact of IBCPs for people with intellectual disabilities who are in in-patient psychiatric units, and the effect on clinical outcomes. Method People with intellectual disabilities who were at risk of constipation were recruited from four specialist in-patient psychiatric units in England and Wales. A constipation questionnaire was used to capture relevant data to devise IBCPs. Baseline, 3- and 6-monthly …

Impact Analysis On Silicone Breast Implants Using In Vitro Experiments And Finite Element Analysis, Brenna Marie Tiernan

Masters Theses

Silicone breast implants are commonly used in breast augmentation and reconstruction procedures. Mentor introduced two newer models of silicone gel-filled implants, the MemoryGel^TM Xtra and MemoryGel^TM Boost, designed to increase the gel fill and projection of the implants while reducing wrinkling and rippling of the shell. Modifications to the shape and fill of these implants may result in different mechanical responses under compressive or impact loading conditions. To investigate whether these structural differences influence implant behavior, in vitro drop testing and finite element analysis (FEA) simulations were conducted, focusing on impact forces, internal stresses, and deformation patterns experienced …

Input Of Ultra-High-Resolution Mass Spectrometry For Bio-Oil Characterization And Upgrading Monitoring, Jasmine Hertzog, Vincent Carré, Frédéric Aubriet

PYROLIQ III – 2025: Pyrolysis and Liquefaction of Biomass and Wastes

Please click Additional Files below to see the full abstract

Class A Biosolids Production Using Conventional And Low-Cost, Low-Tech Processes At Small Water Resource Recovery Facilities: A Multidimensional Sustainability Assessment, Janna Brown, Robert Handler, Eric Seagren, Jennifer Becker

Michigan Tech Publications

Producing Class A biosolids is a beneficial way to reuse wastewater treatment solids, but most conventional processes are energy-intensive and expensive. There is growing interest in the use of low-cost, low-tech (LCLT) Class A biosolids treatment processes, especially at small water resource recovery facilities (WRRFs). This study used a holistic sustainability assessment to examine the environmental, economic, and social sustainability of conventional and LCLT processes at small WRRFs. The technologies studied were Direct Heat Drying, Composting, Lagoon Storage, Air Drying, and Temperature-Phased Anaerobic Digestion (TPAD). Environmental impacts were determined by conducting life-cycle assessments for all technologies, which is described in …

Mitigating Ultrasonic Attack On Drones Using Meta-Material Acoustic Resonators, Corey Thomas Churgin

Theses and Dissertations

The purpose of this research was to reproduce ultrasonic attacks on consumer drone gyroscopes and mitigate the attacks using specifically designed meta-material acoustic resonators. Drones use a Micro Electrical Mechanical Systems (MEMS) Gyroscope for collecting flight data, due to the mechanical nature of these gyroscopes they are susceptible to being resonated at specific frequencies. For these MEMS gyroscopes the majority have a resonance frequency in the ultrasonic range, making attack imperceptible by humans. (1) A Laser Doppler Vibrometer was used to accurately measure the frequency which affects the drone’s gyroscope. (2) To mitigate the effects of the attacks acoustic resonators …

Palpation Characteristics Of An Instrumented Virtual Cricothyroidotomy Simulator, Melih Turkseven, Trudi Di Qi, Ganesh Sankaranarayanan, Suvranu De

Engineering Faculty Articles and Research

Cricothyroidotomy (CCT) is a critical, life-saving procedure requiring the identification of key neck landmarks through palpation. Interactive virtual simulation offers a promising, cost-effective approach to CCT training with high visual realism. However, developing the palpation skills necessary for CCT requires a haptic interface with tactile sensitivity comparable to human fingers. Such interfaces are often represented by plastic partial mannequins, which require further adaptation to integrate into virtual environments. This study introduces an instrumented physical palpation interface for CCT, integrated into a virtual surgical simulator, and tested on 10 surgeons who practiced the procedure over a training period. Data on haptic …

08.18.2025 Ored Connect, Liz Williamson

ORED Newsletter

ORED on-demand training, Tableau training, Research Reception 2025

Cardiac And Coronary Hemodynamics: Using An Integrated Ex-Vivo Beating Heart Experiments And Computational Modeling, Chenghan Cai

Master's Theses (2009 -)

Cardiovascular function arises from the complex interactions among the heart, the arterial system, and the coronary circulation. Questions such as how variations in left ventricular (LV) loading conditions affect LV and aortic functions through LV–aorta interactions; and how coronary artery diseases, such as stenosis, impact cardiac function and myocardial perfusion including left and right coronary perfusion via LV–coronary interactions, remain understudied. To answer these questions, this thesis focuses on two core objectives: (1) investigate the effects of LV loading conditions on LV and aortic functions through LV–aortic interactions by performing ex-vivo beating rat heart experiments, and (2) elucidate the impact …

Difference In High School Geometry End-Of-Year State Exam Scores Between Three Different Retake Time Frames, Christina Noel Walton

Walden Dissertations and Doctoral Studies

A grading policy was implemented in a Northeastern suburban public school district that left it to curriculum teams to define the amount of time between the original test and its retake resulting in a slight decrease in high school students’ geometry end-of-year state exam scores. Guided by Bloom’s theory of mastery learning, the purpose of this quantitative causal-comparative study was to investigate if there were statistically significant differences between high school students’ geometry end-of-year state exam scores or between high school students’ geometry math growth scores when controlling for the preassessment score differentiated by three schemes of retake timing: short-term, …

Cationic Liposome Nanoparticles For Drug Delivery To The Inner Ear, Firas Al-Ashker

Master's Theses (2009 -)

Cisplatin is a widely used chemotherapy drug associated with a high incidence of hearing loss, particularly in younger patients. This ototoxicity is linked to the drug’s long-term accumulation in the cochlea, where it can persist for years following treatment. Current clinical interventions, such as sodium thiosulfate (STS), offer partial protection against hearing loss but are limited by poor drug penetration into the inner ear. The objective of this study was to develop and evaluate a targeted drug delivery platform capable of overcoming anatomical and physiological barriers to reach the cochlea more effectively. Specifically, we aimed to design cationic liposome nanoparticles …

The Current - Volume 36 Issue 1, Nova Southeastern University

Student Newspapers

No abstract provided.

Anti-Tumor Activity Of Camptothecin Analog Conjugate Of An Rspo4-Based Peptibody Targeting Lgr4/5/6 In Preclinical Models Of Colorectal Cancer, Yukimatsu Toh, Ling Wu, Jianghua Tu, Zhengdong Liang, Adela M Aldana, Jake J Wen, Li Li, Sheng Pan, Julie H Rowe, Martha E Hensel, Carolyn L Hodo, Rick A Finch, Kendra S Carmon, Qingyun J Liu

The Brown Foundation: Institute of Molecular Medicine

Background: Antibody-drug conjugates (ADCs) are a significant advancement in targeted cancer therapy, but none are approved for colorectal cancer (CRC). LGR4/5/6, highly expressed in most CRCs, are promising targets. While LGR5-targeting ADCs show strong anti-tumor effects, their efficacy is limited by LGR5 loss in some CRC cells. RSPO4, a natural ligand for LGR4/5/6, binds all three receptors with high affinity. This research develops RSPO4-based peptibody drug-conjugates (PDCs) to simultaneously target LGR4/5/6, offering a novel therapeutic approach for CRC.

Methods: LGR4/5/6 expression in CRCs was analysed using RNA-seq datasets and Western blot. Peptibody binding affinities were measured, conjugated to camptothecin analog, …

Understanding Loss To Follow-Up: The Role Of Social Determinants Of Health In Infants Referred After A Positive Newborn Screening – A Quantitative Analysis, Betsy Graham-Moeller Graham-Moeller

Walden Dissertations and Doctoral Studies

Newborn screening (NBS) is a vital U.S. public health initiative that identifies medical conditions shortly after birth. Patients with positive screenings are referred for medical follow-up or evaluation. However, many patients do not receive the recommended long-term follow-up, posing concerns for healthcare providers and public health professionals working to ensure timely treatment and care continuity. Based on the Social Determinants of Health framework, this quantitative, retrospective cohort study aimed to examine demographic and clinical factors associated with follow-up adherence among 691 infants identified through NBS in Colorado and Wyoming. The purpose of the study was to determine whether race, ethnicity, …

Relationship Between Perioperative Nurses’ Perception Of Empowerment Versus Burnout And Intent To Leave In A Level 1 Hospital On The East Coast, Kelly D. Sambrano

Walden Dissertations and Doctoral Studies

Retaining perioperative nurses is vital for maintaining high-quality care, operational efficiency, and financial stability in healthcare settings. These nurses are integral to surgical care and require significant training and resources, making their retention a strategic priority. This quantitative study, grounded in Kanter’s theory of structural empowerment, used secondary data to explore two main questions: (a) Which demographic factors—such as age, experience, training, certification, and loyalty predict empowerment, burnout, and intent to leave? and (b) How do empowerment and job satisfaction influence the intent to stay? With nearly 20% of the perioperative workforce expected to retire within five years, identifying retention …

Development Of Turbulence Models For Prediction Of Hypersonic Flows Using Compressibility Corrections And Uncertainty Quantification With Emphasis On The Wray-Agarwal Model, Aidan Robert Murphy

McKelvey School of Engineering Graduate Student Theses & Dissertations

Accurate prediction of high-speed compressible turbulent flows remains one of the most significant challenges in Computational Fluid Dynamics (CFD), especially in the realm of hypersonic vehicle design. These flow regimes involve significant aerodynamic heating and shock-wave boundary layer interactions (SBLI) which remain a significant challenge for the current CFD prediction capabilities. While Direct Numerical Simulation (DNS) and Large-Eddy Simulation (LES) provide high-fidelity solutions, their computational demands limit their usability, making the Reynolds-Averaged Navier-Stokes (RANS) equations an efficient alternative for many industrial aerodynamic applications. Traditional RANS techniques, while computationally efficient, often provide limited accuracy in high-speed flows due to the presence …

A Novel P–N Junction Uio-66/Agins2 For Photodegradation Of Enrofloxacin Under Visible Light, Sajedeh Sadat Hashemipoor, Reza Fazaeli, Hamid Reza Moghadam Zadeh, Mehdi Arjomand

Turkish Journal of Chemistry

The formation of a heterogeneous junction between photocatalysts may be a potential solution for removing medicinal compounds from wastewater, which is crucial due to the environmental and health risks. The present study aims to investigate the efficacy of UiO-66/AgInS2 p–n junction photocatalyst—a Zr-based metal-organic framework—in degradation of enrofloxacin (ENR) antibiotic using visible light. UiO-66, AgInS2 (AIS), and UiO-66/AIS semiconductors were characterized using various techniques. The comparative analysis of particle structural parameters utilized diverse methodologies, and response surface methodology (RSM) was applied for the optimization of ENR degradation. The degradation kinetics of ENR were investigated. We identified UiO-66/AIS as a p–n …

Ski Resort Cybersecurity, Nathan Clark

All Student Scholarship

By comparing ski resorts to other industries, such as beach resorts, infrastructure, and live events, this study aims to establish a foundation of understanding for ski hills. Through an analysis of data collected from state-level data breach lists and corporate filings required by the SEC, the study utilizes this broader scope to identify the primary cyber concerns facing the ski industry. The study aims to identify the unique cybersecurity challenges faced by ski resorts and compare them in terms of security concerns with those in large-scale events and the tourism industry.

Photolysis Of Emerging Agricultural Applications Under Environmental Conditions, Kun-Pu Ho

McKelvey School of Engineering Graduate Student Theses & Dissertations

Novel agricultural applications are rapidly emerging to protect crops from weeds or pests in the US and worldwide. Isoxaflutole is a proherbicide considered agriculturally significant because it controls weeds that have developed resistance to other commonly used herbicides. In addition, RNA interference (RNAi) technology is regarded as a next-generation biopesticide because the technology has less toxicity to humans and more specificity to pests than traditional pesticides, which pose risks to the environment and the health of humans and livestock. However, we cannot disregard the possible risks of the emerging proherbicides and biopesticides to humans or non-target organisms. Therefore, the study …

Combining Code Analysis And Pedagogical Guidance: Automated Tools For Teaching Debugging In Introductory Programming, Yana Malysheva

McKelvey School of Engineering Graduate Student Theses & Dissertations

The ability to debug code is critical to being a programmer and represents a distinct skill from writing code. Yet debugging is rarely explicitly taught in introductory programming and Computer Science courses. Instead, novices typically develop their own debugging habits and strategies when they encounter bugs in their code, which are often less effective than those of expert programmers. When students do seek help with debugging, they traditionally turn to office hours conducted by Teaching Assistants (TAs) or, increasingly, to Large Language Models such as ChatGPT. However, both sources of assistance have limitations. TAs are often students themselves with limited …

Code Stories For Software Evolution, John Joseph Allen

McKelvey School of Engineering Graduate Student Theses & Dissertations

Programmers spend more than half of their time comprehending code, and in particular struggle to answer questions about the rationale, intent, and history behind software artifacts. Through this dissertation, I explore how history-aware tools can help programmers understand unfamiliar software artifacts. First, I investigated how providing additional context -- historical code changes grouped by the original developer's stated subgoals and the web foraging activity of the original developer impacted the process of code reuse. I found that programmers utilized these resources to 1) make better analogies between their reuse scenario and what code was already written, and 2) anchor into …

Multi-Layer Support For Component-Based Cyber-Physical Systems Applications, Oren Bell

McKelvey School of Engineering Graduate Student Theses & Dissertations

Component-based design is a paradigm meant to aid in development of software applications by modularizing different functionalities of a system. This building-block approach is used extensively in cyber–physical and robotic systems. Common and established solutions to specific problems, such as perception nodes, state estimators, and motion planners, can be developed, verified, and reused as off-the-shelf modules. These modules may be integrated atop today’s heterogeneous hardware platforms, where an application can be distributed across GPUs, FPGAs, and CPU cores. When heterogeneous computational devices share the workload of a collection of components, the very act of integration may inject timing uncertainty. For …

Applying Machine Learning To Developmental Psychopathology, Robert Jesus Jirsaraie

McKelvey School of Engineering Graduate Student Theses & Dissertations

Psychopathology arises from a combination of many contributing factors, which can include genetic predispositions, family history, environmental stressors, developmental processes, and psychosocial dynamics. Each of these contributing factors has been researched for decades, and their influences on mental health have been well documented. In recent years, there has been a growing enthusiasm for integrating these risk factors using machine learning. However, there are a wide array of data-driven frameworks that have been implemented, and the relative strengthens of each approach is not clear. Through of series of four research studies, we examined each data-driven approach in terms of its potential …

A Mechanistic Understanding Of Transcutaneous Auricular Vagus Nerve Stimulation, Kara Michelle Donovan

McKelvey School of Engineering Graduate Student Theses & Dissertations

Transcutaneous auricular vagus nerve stimulation (taVNS) offers great potential as a noninvasive neuromodulation technique with expanding therapeutic potential across a range of neurological and systemic indications. Yet despite strong clinical interest, the mechanistic foundations of taVNS remain incompletely understood. In contrast to the invasive form of vagus nerve stimulation (VNS), taVNS has seen more limited parametric characterization, with many studies relying on parameters adopted from invasive protocols without systematic validation at the noninvasive level. This dissertation focuses on developing a more comprehensive understanding of the underlying mechanisms of taVNS. It extends existing literature by leveraging intracranial electrophysiology to directly quantify …

Harnessing Metabolic Modeling And Artificial Intelligence For Next-Generation Bioproduction, Zhengyang Xiao

McKelvey School of Engineering Graduate Student Theses & Dissertations

Bioproduction in microbial hosts faces two main challenges: (1) unique metabolism of each species is difficult to generalize, and it requires precise quantification before metabolic engineering. (2) Past experiment data are fragmented in different studies, making it difficult to combine these non-standardized data for future experiment design. These challenges lead to high costs and risks in scaling up biomanufacturing processes, where R&D requires substantial budgets and iterative experiments are expensive. This thesis addresses both challenges through two research pillars. Part I uses 13C metabolic flux analysis (MFA) and genome-scale model (GSM) to investigate metabolic limitations in bioproduction hosts. In Escherichia …

Moment Ensemble Approaches For Estimation And Robust Quantum Control, Andre Luiz Paes De Lima

McKelvey School of Engineering Graduate Student Theses & Dissertations

Large-scale population dynamics governed by ensemble systems present significant challenges due to their inherently high dimensionality. Recent advances have demonstrated the effectiveness of moment-based methods (particularly those employing polynomial bases such as Legendre and Chebyshev polynomials) when integrated with optimization techniques for control design in ensemble systems. However, these methods have not been extensively explored for enhancing robustness against systematic noise, nor have they been widely applied to complex quantum systems involving multi-parameter configurations and entanglement phenomena. In this work, we extend the application of moment methods in ensemble systems through two projects. Initially by developing a Kalman filter analogue, …

Towards Graph Foundation Models: Few-Shot And Zero-Shot Learning On Graphs, Hao Liu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Graphs naturally model complex relationships and interactions across various domains, including social networks, biological systems, and recommender platforms. Graph Neural Networks (GNNs) have emerged as powerful tools for learning effective graph representations through iterative message passing, significantly improving performance in tasks such as node classification, link prediction, and graph classification. However, the success of GNNs largely depends on abundant labeled data, posing challenges in practical scenarios where labeled data is scarce or unavailable. This dissertation addresses these challenges by exploring few-shot and zero-shot learning within the graph domain. We first propose COLA, a self-supervised few-shot node classification method that exploits …

Spatial Patterns In Electronic Health Record Data-Based Predictive Modeling: A Case Study Of Prenatal Care And Preeclampsia, Abigail Lewis

McKelvey School of Engineering Graduate Student Theses & Dissertations

The electronic health record (EHR) documents interactions between patients and healthcare systems and is widely used for secondary research on health outcomes due to broad adoption. While EHR data support efficient clinical informatics research, they are subject to biases stemming from healthcare seeking behavior, health system attributes, and individual or environmental characteristics. Place-based characteristics, in particular, strongly influence when and how patients access care and shape health outcomes. These biases in EHR data can affect predictive modeling pipelines which leverage them, contributing to variation in model performance across groups. In healthcare, where predictive models are increasingly used to guide care, …