Digital Commons Network^™

Deformation Mechanism In Gold Nanoparticles Under Compressive Loading: Insights From Atomistic Modelling And Unsupervised Machine Learning, Tanuj Gupta

All Dissertations

Gold nanoparticles (AuNPs) offer exciting possibilities due to their inertness, malleability, and tunable structures, making them valuable for applications ranging from nanomedicine to electronics. Their optical, mechanical, and other properties can be tailored by modifying shape and structure, underscoring the importance of understanding their deformation behaviour at the nanoscale. This study used classical molecular dynamics simulations with LAMMPS to investigate the deformation mechanisms of gold nanospheres (AuNS) under uniaxial compression. Employing the embedded atom method (EAM) potential to model atomic interactions, AuNS with 20 nm in diameter were compressed along the z-direction using planar indenters moving at a constant …

The Clot Thickens: Investigation Of The Mechanism Behind Hypercoagulation In Covid-19 Patients, Toni Warnick

All Dissertations

Since its emergence in 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been associated with cardiovascular complications, which correlate with illness severity and increased mortality. It was initially thought that this hypercoagulable state was induced by endothelial dysfunction or cytokine storm because of SARS-CoV-2 infection. Although platelets have been reported to express the SARS-CoV-2 primary target receptor, angiotensin-converting enzyme 2 (ACE2), this remains controversial due to conflicting findings that suggest minimal to no ACE2 expression on platelets. This ambiguity has led to exploring alternative entry pathways, notably via the virus’s RGD (arginine-glycine-aspartic acid) sequence within its spike protein receptor-binding …

Enhancing Low-Resource Language Performance In Multilingual Large Language Models, Mingqi Li

All Dissertations

The large language models play an important role in many natural language tasks. However, training these models requires large amounts of data, which is not available for many languages. A noticeable performance gap exists between English and other languages, with low-resource languages showcasing this gap prominently. Therefore, it becomes imperative to improve large language models for low-resource languages. To address these challenges, we developed knowledge distillation and strategic prompt-learning, and attention alignment methods to improve the representation capabilities of large language models for low-resource language, and then enhanced their performance in downstream tasks.

In our first study, we developed a …

Isolation And Upgrading Of Lignin From Agricultural Sources Using Phase Equilibria, Bronson Lynn

All Dissertations

In the emerging bioeconomy, agricultural residues from our nationwide crop harvests are positioned to be a cornerstone of renewable and sustainable fuels, chemicals, and materials. However, to be economically viable, the basic constituents of this plant matter must be separated and funneled to the appropriate application to maximize value and overall usability.

This work focuses on the component that has, to this point, been largely left behind: lignin. Although it is the most abundant aromatic biopolymer on the planet, making up 15-40% of grasses, hardwoods, and softwoods, the processing involved to isolate usable lignins is too complex and expensive to …

Collision Hazard Prevention And Notification For Construction Worker Safety Using Audio Surveillance, Kehinde Elelu

All Dissertations

The construction industry faces significant safety challenges, with collision hazards ranking as the second highest cause of annual fatalities and injuries in the United States, as reported by the Occupational Safety and Health Administration (OSHA). Current collision detection methods predominantly rely on proximity technologies, which necessitate costly and complex installations on each construction equipment piece. Furthermore, auditory situational awareness declines among workers due to hearing loss and intricate construction noises, which further heightens collision risks. This research introduces an innovative, low-cost, audio-based collision prevention technology aimed at enhancing auditory situational awareness for construction workers exposed to high noise levels. The …

Socio-Ecological Drivers Of Anthropogenic Marine Debris Effects On Coral Reef Communities In The Florida Keys, Usa, Tokea Payton

All Dissertations

The Florida Keys reef tract has rapidly shifted from a structurally complex, hard coral-dominated reef to a less rugose, soft coral-dominated reef. Persistent anthropogenic stressors facilitate ecological transitions by including recreational and commercial fishing and increased anthropogenic marine debris. These artificial structures are becoming habitats for small marine taxa known as cryptofauna. Cryptofauna are among the most essential yet understudied reef taxa where little is known about their fate considering degrading coral reefs and increasing anthropogenic disturbance. With increased anthropogenic stressors on the marine environment, the SCUBA diving community has initiated extensive marine debris removal efforts to assist in cleaning …

Covid-19 Risk Assessment Among Vulnerable Small Business Owners In El Paso County, Texas, Soyoung Kwon

Faculty, Staff and Student Publications

Background: Our objective was to deliver actionable, worksite-specific COVID-19 risk assessments and mitigation strategies tailored to vulnerable workers in one of the highest-risk areas in the US.

Methods: Four trained, bilingual (English/Spanish) community health workers (CHWs) recruited small businesses (ie, ≤20 employees) across various industries and executed novel on-site infectious disease risk assessment surveys of at least one employer and one employee.

Results: Of 102 participating businesses (95% Hispanic-owned), 96% were characterized as "high risk" or "very high risk" for disease transmission. All businesses reported implementing at least one practice to reduce disease transmission; however, almost half of businesses lacked …

Bounds On 𝑎hvp,Lo Using Hölder’S Inequalities And Finite-Energy Qcd Sum Rules, Siyuan Li, T. G. Steele, Jason N.E. Ho, R. Raza, K. Williams, R. T. Kleiv

Faculty Work Comprehensive List

This study establishes bounds on the leading-order (LO) hadronic vacuum polarization (HVP) contribution to the anomalous magnetic moment of the muon (𝑎HVP,LO 𝜇 ,𝑎𝜇 =(𝑔 −2)𝜇∕2) by using Hölder’s inequality and related inequalities in Finite-Energy QCD sum rules. Considering contributions from light quarks (𝑢, 𝑑, 𝑠) up to five-loop order in perturbation theory within the chiral limit, leading-order light-quark mass corrections, next-to-leading order for dimension-four QCD condensates, and leading-order for dimension-six QCD condensates, the study finds QCD lower and upper bounds as (657.0±34.8)×10−10 ≤𝑎HVP,LO 𝜇 ≤(788.4±41.8)×10−10.

Designing A Blockchain Technology Platform For Enhancing The Pre-Exposure Prophylaxis Care Continuum, Ladd Hanson, Armand Brown, Marlene Mcneese, Kayo Fujimoto

Faculty, Staff and Student Publications

OBJECTIVES: Pre-exposure prophylaxis (PrEP) is a key biomedical intervention for ending the HIV epidemic in the United States, but its uptake is impeded by systemic barriers, including fragmented workflows and ineffective data coordination. This study aims to design PrEPLinker, a blockchain-based, client-centered platform to enhance care to address these challenges by improving care coordination and enabling clients to securely manage their identity and PrEP-related data.

MATERIALS AND METHODS: Using Houston, Texas, as a use case, we conducted a needs assessment with PrEP collaborators to evaluate existing workflows and identify barriers in the PrEP care continuum. Based on these findings, we …

Biological Validation Of Peak-Width Of Skeletonized Mean Diffusivity As A Vcid Biomarker: The Markvcid Consortium, Rebecca Bernal, Elyas Fadaee, Haykel Snoussi, Angel Gabriel Velarde Dediós, Hector A Trevino, Monica Goss, Laura J Hillmer, Christopher E Bauer, Adam M Staffaroni, Lara Stables, Marilyn Albert, Jayandra J Himali, Thomas H Mosley, Lars Forsberg, Vilmundur Guðnason, Baljeet Singh, Herpreet Singh, Kristin Schwab, Gary A Rosenberg, Karl G Helmer, Steven M Greenberg, Mohamad Habes, Danny J J Wang, Brian T Gold, Hanzhang Lu, Arvind Caprihan, Myriam Fornage, Lenore J Launer, Konstantinos Arfanakis, Sudha Seshadri, Charles Decarli, Pauline Maillard, Claudia L Satizabal

Faculty, Staff and Student Publications

BACKGROUND: Peak-width of skeletonized mean diffusivity (PSMD), a neuroimaging marker of cerebral small vessel disease (SVD), has shown excellent instrumental properties. Here, we extend our work to perform a biological validation of PSMD.

METHODS: We included 396 participants from the Biomarkers for Vascular Contributions to Cognitive Impairment and Dementia (MarkVCID-1) Consortium and three replication samples (Cohorts for Heart and Aging Research in Genomic Epidemiology = 6172, Rush University Medical Center = 287, University of California Davis Alzheimer's Disease Research Center = 567). PSMD was derived from diffusion tensor imaging using an automated algorithm. We related PSMD to a composite measure …

Synthesis Of Binary-Input Multi-Valued Output Optical Cascades For Reversible And Quantum Technologies, Ishani Agarwal, Miroslav Saraivanov, Marek Perkowski

Electrical and Computer Engineering Faculty Publications and Presentations

This paper extends the decomposition from the group theory based methods of Sasao and Saraivanov to design binary input multivalued output quantum cascades realized with optical NOT, SWAP, and Fredkin Gates. We present this method for 3, 5, and 7 valued outputs, but in general it can be used for odd prime valued outputs. The method can be extended to realize hybrid functions with different valued outputs. A class of local transformations is presented that can simplify the final cascade circuits. Using these simplifying transformations, we present an upper bound on the maximum number of gates in an arbitrary -variable …

Addressing Ethical Issues In Healthcare Artificial Intelligence Using A Lifecycle-Informed Process, Xiaoqian Jiang, Camille Nebeker, Laurie Novak, Kirk Roberts, Martin Were, Zhijun Yin, Vardit Ravitsky, Joseph Coco, Rachele Hendricks-Sturrup, Ishan Williams, Ellen W Clayton, Bradley A Malin, Bridge2ai Ethics And Trustworthy Ai Working Group

Faculty, Staff and Student Publications

OBJECTIVES: Artificial intelligence (AI) proceeds through an iterative and evaluative process of development, use, and refinement which may be characterized as a lifecycle. Within this context, stakeholders can vary in their interests and perceptions of the ethical issues associated with this rapidly evolving technology in ways that can fail to identify and avert adverse outcomes. Identifying issues throughout the AI lifecycle in a systematic manner can facilitate better-informed ethical deliberation.

MATERIALS AND METHODS: We analyzed existing lifecycles from within the current literature for ethical issues of AI in healthcare to identify themes, which we relied upon to create a lifecycle …

Time Series Decomposition Of Land Surface Temperature For Long-Term Trend Forecasting And Impact On Nesting Sea Turtle Habitats In The Arabian Gulf, Sachi Perera, Rommel H. Maneja, Mohamed Allali, Cyril Rakovski, Erik Linstead, Daniele Struppa, Ali Qasem, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Improving land surface temperature (LST) modeling is vital for mitigating climate change effects on various ecosystems and marine habitats such as important sea turtle habitats. Over the past decade, extreme temperatures have likely significantly affected nesting sea turtle habitats in the Arabian Gulf, with predominantly female hatchlings creating an imbalance in the sex ratio. Such shifts have profound implications for these habitats’ long-term survival and conservation management. This study leverages statistical machine learning models to measure ongoing temporal variations in LST. We break down the LST time series into trend, seasonal, and noise components using classical decomposition methods like X11, …

Analysis Of An Outdoor Pilot-Scale Rotating Algae Biofilm Reactor For Power Optimization, Ash-Enhanced Productivity, And Nutrient Uptake, Peter F. Jeppesen

All Graduate Theses and Dissertations, Fall 2023 to Present

Outdoor testing of a rotating algae biofilm reactor (RABR) was performed to see how well it could remove nutrients from water and produce algae. By adjusting the operation settings, we found the lowest power needed to remove nitrogen and phosphorus. The lowest power values needed were 1.36 kWh per kilogram of nitrogen and 20.1 kWh per kilogram of phosphorus. The algae production rate reached a maximum of 7.09 grams per square meter per day. Detailed analysis showed that the reactor worked like a continuous flow system, and the performance was influenced by factors including light and temperature. The results also …

2024 December, Morehead State University. Office Of Communications & Marketing.

Morehead State Press Release Archive, 1961 to the Present

Press releases for December of 2024.

The Lived Experience Of Nurses Caring For People Experiencing Homelessness: A Descriptive Phenomenological Study, Debra Guerrini

Theses & Dissertations

Background:

Marginalized patient populations, such as people experiencing homelessness, receive a lower quality of care linked to stereotyping and biases (Alspach, 2018). Populations receiving substandard healthcare are often subconsciously identified by attributes such as age, race, mental health, housing, and social status (Padilla-Moledo et al., 2016). These stigmatized attributes can be the underpinning of bias. The health status of people experiencing homelessness is generally poorer than housed populations, with evidence demonstrating the difficulties they encounter when attempting access to healthcare (Klop et al., 2018).

Purpose:

The purpose of this phenomenological study was to explore and gain a more in-depth understanding …

Strategic Clarity And Its Impact On Improving The Mental Image Of The Organization: Analytical Research At The University Of Fallujah, Uday Awad Mahdi*, Ali Hassoun Al-Taie

Journal of Economics and Administrative Sciences

Purpose: This research emphasizes the need for the organization to redistribute powers and responsibilities internally, empower its human resources, and grant it various powers to present the opinions and proposals necessary to achieve this. Theoretical Framework: According to researchers (Ritchie-Dunham & Puente, 2008), the organization needs to establish its roots in its surrounding environment, it needs to strengthen its mental image and recognize the role that strategic clarity plays in achieving this. Design/Methodology/Approach: Analysis of study data in three colleges (2023-2024), using strategic clarity in its components (clarity of goals, clarity of organizational structure, clarity of employees’ role, clarity of …

The Impact Of E-Commerce On Digital Marketing Hopes And Ambitions: A Case Study In Airline Reservation Offices In Iraq, Anas Maaroof, Abdullah Oğrak

Journal of Economics and Administrative Sciences

Purpose: The current study aims to identify the impact of e-commerce with digital marketing in airline reservation offices in the Republic of Iraq. The study consists of two main variables: the independent variable that included e-commerce, which consisted of four dimensions: Business-to-Business, Consumer-to-Business, and Consumer-to. - Consumer, Business-to-Government, and the dependent variable represents digital marketing, the dimensions of which are: website design, social media marketing, search engine optimization, and email marketing. Theoretical Framework: Upon on Maaroof, A. (2021) This study highlights the importance of e-commerce and digital marketing, such as booking corners during digital transactions in airline reservation offices, as …

The Role Of Authentic Leadership In Human Resources Development: An Analytical Study In Diyala State Company, Ali Radhi Abbas*, Mohammed Matook Abood Al- Mahdi

Journal of Economics and Administrative Sciences

Purpose: This research works to achieve several objectives, the most important of which is determining the type of relationship between authentic leadership and human resource development and its dimensions. Theoretical Framework: In light of what was proposed by researchers(Walumbwa et al., 2008), (Ivancevich, 2002), this study helps public organizations on the one hand and the company being studied as well as identify the level of employees' awareness of authentic leadership and The positives that leadership can contribute to developing human resources. Design/Methodology/Approach: conducted in Diyala State Company (2024) by distributing (180) valid questionnaires that were analyzed using advanced statistical methods …

Knowledge Sharing And Its Impact On Organizational Performance- An Analytical Study In The Directorate Of Education, Al- Karkh First, Baghdad, Mohammed Hafedh Farhan, Mohammed Yaseen Raheem

Journal of Economics and Administrative Sciences

Purpose: The current research aims to identify the impact of knowledge sharing on organizational performance with a sample in the Ministry of Education/ the Directorate of Education of First Karkh. Theoretical framework: Knowledge sharing is one of the key factors that contribute to improving organizational performance through exchanging of knowledge and experiences among employees. It highlights the importance of this process in developing and improving performance in a changeable environment. Design/methodology/approach: This study was conducted in the Directorate of Education, First Karkh, Baghdad, with 187 legitimate questionnaires that were analyzed using  superior statistical techniques. Findings: Knowledge sharing significantly influences organizational …

The Compatibility Of The Substance Over Form Doctrine With Tax And Investment Treaties: A Case Study Of Lone Star V The Republic Of Korea, Blazej Kuzniacki

Research Collection School Of Accountancy

In late August 2022, the Lone Star tribunal concluded one of the latest awards in tax-related investment treaty disputes (the tax-related claims account for almost USD 1.5 billion of the total of almost USD 4.7 billion claimed in compensation). It also is the first award in which the tribunal dealt with the application of the substance over form doctrine (SOFD) by tax authorities and courts of the host state to prevent the abuse of a double tax treaty (DTT), and the impact of the refusal to accord the claimants the benefits under the DTT via a domestic (Korean) SOFD on …

Using Simulations Of Future Extreme Weather Events To Escape The Resilience Trap: Experimental Evidence From Hong Kong, Terry Van Gevelt, J. Yang, K. N. Chan, L. Li, Fiona Williamson, B. G. Mcadoo, A. D. Switzer

Research Collection College of Integrative Studies

Hong Kong is a hyper-dense coastal city that has long learned to live with a potentially disastrous extreme weather event: tropical cyclones. This was largely a reactionary process, with investments in soft and hard infrastructure made in the aftermath of devastating tropical cyclones. While the experiences of devastating tropical cyclones remain strong in the collective memory of the city, Hong Kong's present-day resilience has led to complacency, especially among the general public. We suggest that Hong Kong may be caught in a resilience trap, where previous success in building resilience may be hindering the city's ability to adapt to the …

Digital Scholarship Lab Summer 2024 Survey Report, Sean Winslow

Reports and White Papers - Milner Library

During the Summer of 2024, the Digital Scholarship Lab at Milner Library conducted a survey to garner feedback on user interests and needs to help guide the work of the new Digital Scholarship Coordinator, Dr. Sean Winslow, who joined the library in April. The Digital Scholarship Lab opened in August 2023, but many potential users did not know it existed or the specifics of its infrastructure as it relates to their needs.

Soundscapes Of The Pillow Book: Creating Music Exploring Pamela Z'S Sonic Landscapes, Asuka Kakitani

Electronic Theses and Dissertations

Pamela Z stands as a pioneering force in contemporary music, seamlessly integrating her roles as a composer, performer, and media artist. Renowned for her innovative approach, she masterfully combines her voice with live electronic processing, sampled sounds, and video elements, crafting a distinctive musical landscape that embodies the forefront of artistic exploration in our time. The primary aim of this thesis is to create “The Pillow Book,” a new musical work inspired by Z's creative process and methods. This work will also incorporate elements of my native language and ancient Japanese text from The Pillow Book, written in 1002 …

Bioremediation Of Effluent Water In A Coal Ash Disposal Area: Optimizing Microbial Sulfate Reduction, Ryka Shea

Electronic Theses and Dissertations

Coal combustion residues (CCR) pose a serious environmental threat, even long after they are disposed of in specialized landfills, due to their complex composition and potential for leaching into waterways. This study focuses on the issue of elevated sulfate concentrations at the Martin Lake Steam Electric Station (MLSES) A-I Disposal Area in Panola County, Texas, where CCR are disposed of in a permanent landfill. Currently, this site is exceeding its regulatory limit of sulfate concentrations in its effluent and is in need of a cost-effective and sustainable solution to this problem. This research utilized benchtop experiments to investigate sulfate reducing …

Establishment Of Structure-Property-Processing Relationships For Design Of Sprayable Hydrogels And Amyloid/Peo Electrospun Composites, Xianjun Wang

Dissertations

The focus of this dissertation is the design, synthesis, characterization, and prototyping of bio-inspired materials to understand the role of structure, intermolecular interactions, and processing technique on the self-assembly, bioactive properties, and mechanical properties of the biomaterials. This work is divided into three research areas: 1) sprayable and adhesive glycopolymer based hydrogels; 2) decapeptide-based composite nanofiber mats; and 3) prototyping sutures and meshes via electrospinning. The established structure-property-processing relationships provide a foundation for designing biomaterials in the future.

The first chapter provides an introductory overview of the requirements necessary for the development of hydrogels, glycopolymers, and peptides, including relevant processing …

Comparative Analysis Of Inference Performance Of Pretrained Deep Learning Models In Analog Accelerators, Mafizur Rahman

All Theses

Resistive crossbars using non-volatile memory devices have become promising components for implementing Deep Neural Network (DNN) in hardware. However, crossbar-based computations encounter a notable challenge due to device and circuit-level non-idealities. In this study, we explored three recent crossbar simulation tools, namely, AIHWKIT, CrossSim, and MemTorch, and evaluated four pre-trained DNNs for image classification on CIFAR-100 dataset using these tools. All three tools had strong analog simulation functionalities that effectively mimicked the actual hardware environment. To the best of our knowledge, this is the first study using all three simulation tools of analog accelerators, representing three distinctive hardware settings, to …

Estimating The Possible Qpos Of M87* From The Parameters Of A Hairy Kerr Black Hole, Orhan Donmez, Fatih Dogan

Materials Science and Engineering Faculty Research & Creative Works

In this paper, we study the dynamics of the shock cone formed around a hairy Kerr black hole due to Bondi– Hoyle–Lyttleton (BHL) accretion and investigate the quasi-periodic oscillations (QPO) behaviors resulting from the black hole-cone interaction, aiming to predict the QPO frequencies that may occur around the M87∗ black hole. To achieve this, we use the hairy Kerr black hole parameters consistent with the observed shadow parameters of M87∗ as initial conditions in numerical simulations, revealing the structure of the resulting shock cone and QPOs in a strong gravitational field. Numerical calculations show that the deviation of …

A Mathematical Model For Mapping The Insecticide Resistance Trend In The Anopheles Gambiae Mosquito Population Under Climate Variability In Africa, Komi Mensah Agboka, Mark Wamalwa, James Mutuku Mutunga, Henri E.Z. Tonnang

All Peer-Reviewed Publications

The control of arthropod disease vectors using chemical insecticides is vital in combating malaria, however the increasing insecticide resistance (IR) poses a challenge. Furthermore, climate variability affects mosquito population dynamics and subsequently IR propagation. We present a mathematical model to decipher the relationship between IR in Anopheles gambiae populations and climate variability. By adapting the susceptible-infected-resistant (SIR) framework and integrating temperature and rainfall data, our model examines the connection between mosquito dynamics, IR, and climate. Model validation using field data achieved 92% accuracy, and the sensitivity of model parameters on the transmission potential of IR was elucidated (e.g. μPRCC = …

How International Students Affect Domestic Students' Achievement: Evidence From The Opt Stem-Extension, Town Oh

School of Business and Leadership Working Papers

In this paper, I investigate the effects of international student enrollment on the academic performances of domestic students in U.S. higher education. I leverage the large and rapid increase in international student enrollment after 2008, driven by an extension of the OPT duration that incentivized more international students to pursue U.S. college degrees. Using administrative data linked to first-year salaries, I find that a 10-percentage-point increase in the share of international students in STEM courses reduces domestic students' grades by 0.06 points on a 4-point scale.