Digital Commons Network^™

Emerging Technologies In Beluga Research: Potential And Possibilities, Alejandro Zuniga-Schettino

Posters - 2025

Beluga whale face increasing threats in the Arctic, demanding effective research for conservation. Transitional methods going on field trips to collect short videos in excel, going on field trips to collect short videos, and having to rewatch the video are often time- consuming labor intensive, and limited in scope. This poster explores how engineering and AI can improve research. Engineering can provide robust tools like autonous underwater vehicles with advanced sensors for data collection in challenging environments. These technology offer an enhanced understanding of belugas behavior and ecology

Mente -Mental Health Tracking App, Vu Han

Posters - 2025

Mental health plays a crucial role in overall well-being, yet many digital tools in this space are either overly complex or lack usercentered design. Mente is a streamlined, web-based application created to support daily mental health engagement through simplicity and ease of use.

•Purpose: To provide a minimal, intuitive platform for users to reflect on their emotional well-being and develop healthier habits over time.

•Core Features:

• Mood tracking with visual trends

• Journaling for personal reflection

• Goal setting and progress tracking

• Health assessment for self-awareness

• Analytics for self-reflection •Design Focus: A clean, distraction-free interface that emphasizes …

Reentry Reinvented: The Dayton, Ohio Foodbanks Approach, Carina Yleana Vlaun

Posters - 2025

As of 2024, there are currently 621 incarcerated people per 100,000 people in the general population of Ohio. Due to collateral consequence, many returning citizens have found it difficult to reenter society effectively. The lack of support in safe housing, food assistance, transportation, family support, and much more has increased the percentage of recidivism. Over the years, the Foodbank Inc. of Dayton, Ohio (the Foodbank) has adapted to providing support for people who are leaving the incarceration system to help returning citizens reenter society.

Holdfast War Archives, Albert Mendez

Posters - 2025

Holdfast War Archives is a full-stack website designed for the competitive community of the 19th-century multiplayer roleplaying game, Holdfast Nations at War. This project caters to the North American (NA) melee competitive scene, offering tools to enhance player engagement, maintain records, track performance, and facilitate competitive matchmaking.

El Campanario (Volume 1, Issue 2), St. Mary's University

Honors Program Newsletters

No abstract provided.

Storage Batteries (Renewable Energies/Cars) - Background For Cure "Battery Discharge" Project, Alexa Miner, Clarissa Cortez, James Gonzalez, Ryan Romine

Posters - 2025

In the past, and even today, Texas is known for its oil rigs and non-renewable energy sources, but it has also become a pillar for solar and wind turbine created power. As of late, the usage of these kinds of renewable resources has become essential to keep Texas as efficient as we once were in an ever growing world, where more people need more energy. However, a caveat concerning renewable energy resources is how available they are. At first, this unfamiliar territory led to people doubting its productivity when there was a lack of wind or sunshine. The solution to …

Borrowing In The Dark: The Role Of Financial Education In Payday Loan Dependence, Abdullah Mohammad Mahi, Solomon Wang

Posters - 2025

Payday loans, a form of short-term, high-interest credit, have become a contentious financial instrument in the United States. Though they provide immediate access to cash for individuals, they are largely criticized for reinforcing consumers' financial vulnerability. With APRs consistently surpassing 400%, payday loans not only carry high risk but continue to be widely popular, attracting an estimated 12 million Americans every year. This research delves into the relationship between financial literacy and the utilization of payday loans. The payday lending market thrives by targeting individuals in financial distress, who are typically lowincome, young, and economically marginalized, making them particularly susceptible …

Association Of Ai Derived Biomechanics And Hand Grip Strength, Theophile Nsabimana

Posters - 2025

Biomechanical analysis offers a way of better understanding the mechanism of a person's movement pattern or functional decline. Usually, motion analysis is costly and requires the purchase of a lot of equipment and software. This makes the technology out of reach of students, educators and researchers in austere settings.

Fortunately, artificial intelligence has brought affordability to motion analysis and created a whole new method of analyzing functional performance. OpenCap is an application which was produced by Stanford University and is hailed as being a future replacement to higher costing systems. Gait analysis provides an indication of a person's walking symmetry …

Cure "Battery Discharge" Project: How (Un)Reliable Were The Batteries We Bought?, Zoey Drexler, Aditi Kumar, Abigail Padilla

Posters - 2025

The idea behind battery reliability is much beyond common knowledge. It is more than just batteries charging and discharging our common household items on a day-to-day basis. Battery reliability means to understand their parameters such as voltage, capacity, and internal resistance. This doesn't just mean battery reliability, but the reliability of data measurements pertaining to batteries. Data reliability regards to the integrity of measurements, consistency, and the quality behind what the analysis will tell us about batteries.

Control Of Industrial Robots Based On Artificial Intelligence, Bryan Lara Medrano

Open Access Theses & Dissertations

Industrial robots are vital in developing smart factories, creating the need for more efficient and modern control systems. As a result, investigators and scholars are dedicating great effort to advancing this field et al. [27]. Literature showcases significant progress in various areas, including the control of articulated arms and advancements in human-robot interfaces, self-decision-making, object recognition, decision-making, and routing planning. This manuscript describes a novel technique for predicting the movement of a robotic arm based on artificial neural networks. We have implemented an artificial intelligence method based on artificial neural networks to analyze the possible routing of a robotic arm …

An Exploration Of Sensory And Fine Motor-Based Interventions To Address Self-Regulation And School Participation In Students Impacted By The Flint Water Crisis, Katie Sicklesteel

Capstone Projects

To be successful academically, students must first be regulated and ready to learn. For this capstone project, the occupational therapy (OT) process was used to develop and implement sensory and fine motor interventions in a first-grade classroom to support their participation. Given that the target population in Flint has been impacted by the water crisis and poverty, a trauma-informed approach was also integrated throughout. While research shows that OT plays an important role in sensory processing, self-regulation and motor skills in schools, there is a lack of accessible and evidence-based tools for educators to support these areas. To address this …

Changes In Household Composition And Their Effects On The Academic Achievement Of Orphans And Vulnerable Children Affected By Hiv In Rural Zambia, Mei Tan, Nan Li, Ackim Mungo, Philip E. Thumac, Elena L. Grigorenko

Psychological Science Faculty Publications

The African kinship system facilitates the movement of children and adults between households to mitigate hardship, yet few studies have documented membership changes in rural African households over time and addressed the effects of these household dynamics on the developmental outcomes of children. We used a household inventory instrument to document the number of changes in household membership experienced by 93 households in rural Zambia between two timepoints (∼2 years apart). We then used multilevel models to evaluate the effects of migration and household change on the academic learning of the children affected by HIV residing in these households, positing …

G-Distance: On The Comparison Of Model And Human Heterogeneity, Lenard Dome, Andy J. Wills

School of Psychology

Models are often evaluated when their behavior is at its closest to a single, sometimes averaged, set of empirical results, but this evaluation neglects the fact that both model and human behavior can be heterogeneous. Here, we develop a measure, g-distance, which considers model adequacy as the extent to which models exhibit a similar range of behaviors to the humans they model. We define g as the combination of two easily interpretable dimensions of model adequacy: accommodation and excess flexibility. We apply this measure to five models of an irrational learning effect, the inverse base-rate effect. g-Distance identifies two models, …

Humanist Copyright, Jane C. Ginsburg

Faculty Scholarship

This exploration of the role of authorship in copyright law proceeds in three parts: historical, doctrinal, and predictive. First, I will review the development of author-focused property rights in the pre-copyright regimes of printing privileges and in early Anglo-American copyright law through the 1909 U.S. Copyright Act. Second, I will analyze the extent to which the present U.S. copyright law does (and does not) honor human authorship. Finally, I will consider the potential responses of copyright law to the claims of proprietary rights in AI-generated outputs. I will explain why the humanist orientation of U.S. copyright law validates the position …

The Magazine, Spring 2025, Morehead State University. Office Of Communications & Marketing.

Morehead State Alumni Association Publications

The Magazine of Morehead State University from spring of 2025.

A Microgravity Investigation Of The Subsurface At The United Arab Emirates University Campus, Fidha Farzana Ismail

Theses

This thesis investigates subsurface structures within the United Arab Emirates University (UAEU) campus using microgravity survey. Gravity methods are widely used in geophysical exploration to detect density variations that may indicate subsurface anomalies. The primary objective of this research is to generate the Bouguer anomaly map of the UAEU campus to map subsurface structures and to assess potential geological hazards such as cavities. A total of 76 gravity stations were measured across the UAEU campus using the Scintrex CG-6 gravimeter. The acquired gravity data underwent standard processing to obtain the Bouguer anomaly, including tidal, instrumental drift, latitude, free air, Bouguer, …

Detection And Quantitation Of A Drug And Pesticides In Food Products Of The Uae (Dates And Camel Milk) By Liquid Chromatographic Techniques, Afnan Wael Alanqar

Theses

In this thesis the detection and quantification of the traces of multi-residue pesticides in 26 date fruits samples as well as the presence of the anthelmintic drug thiabendazole in pasteurized commercial camel milk consumed in the United Arab Emirates is examined. The main objective of this thesis is two folds; first is to determine whether a selected 12 pesticides of 8 different chemical groups- in the case of date fruits- and the drug thiabendazole-in case of camel milk- exists in the randomly collected samples of corresponding matrices. Second, is to quantify these compounds and compare their amount to the established …

Exploring Biostimulant Efficacy Under Limited Fertilizer And Water In Utah's Watermelon Production, Evan Christensen, Milena Maria Tomaz De Oliveira, Prakriti Nepal, Youping Sun

Plants, Soils, and Climate Faculty Publications

The western U.S. has recently experienced some of the driest conditions on record, and Utah has been in a multi-year drought (2019-2023) that affected the agricultural sector, including vegetable producers. While vegetables are not a primary agricultural crop in Utah, they are still an important part of the horticultural economy with 763 farms growing 6,138 acres. As the fourth largest acreage vegetable crop in Utah (almost 10% of the acreage) watermelon and related crops in the gourd family Cucurbitaceae (nearly 36% of total vegetable acreage) are important to vegetable growers. Watermelon is a water-intensive crop and requires an adequate supply …

Investigating The Influence Of Volumetric Water Content In The Upper Layer Of Soil On Embankment Factor Of Safety, Kiera Rose Hughes

Theses and Dissertations

Geohazards, including landslides and embankment failures, pose significant risks to railway infrastructure, necessitating early recognition methods for effective risk mitigation. This research explores the relationship between the volumetric water content in the upper soil layer and the embankment's factor of safety (FOS) to improve early detection and stability assessment. A parametric analysis was conducted to evaluate how variations in the soil type (shear strength and hydraulic conductivity), slope geometry (angle and height) and recharge conditions (rainfall intensity and duration) affect the FOS. Using the GeoStudio software, seepage and slope stability analyses were performed for two baseline soils, as well as …

Exploiting Structures In Reinforcement Learning: Multi-Agent Homogeneity, Euclidean Symmetry, And Natural Languages, Dingyang Chen

Theses and Dissertations

Reinforcement learning (RL) has emerged as a powerful paradigm for decision-making in complex environments. However, many RL tasks exhibit inherent structural properties—such as homogeneity, symmetry, and linguistic patterns—that are often underutilized, leading to inefficiencies in learning and generalization. This dissertation systematically exploits these structures to improve the efficiency, scalability, and robustness of RL algorithms across multi-agent and sequential decision-making settings. First, we investigate homogeneity in multi-agent systems, where agents share similar roles and objectives. By leveraging this structure, we develop communication-efficient actor-critic methods for homogeneous Markov games, enabling scalable learning with reduced coordination overhead. Second, we introduce Euclidean symmetry in …

Experimental And Numerical Analysis Of Fluidization Of Pelletized Activated Carbon Columns: Effects Of Glass Bead Retention Layer, Amin Nemati Tamar

Theses and Dissertations

In pressure swing adsorption (PSA) processes there is always a desire to process as much gas as possible in the smallest beds possible. This necessarily leads to velocities that, especially during pressure-changing steps, may exceed the adsorbent particle fluidization velocity within the bed. To prevent the possibility of bed expansion and fluidization bed retention systems are usually employed at the top of the bed in the form of dense beads, bags of the same or springs, otherwise the mechanical integrity of the adsorbent might become compromised. PSA process simulation, based on Archimedes’ force balance involving weight, buoyancy and the drag …

American Extremism: An Evolutionary Process, Christopher Young, Michael Damian Tucker

Journal of Strategic Security

This article critically examines the historical definitions of American right-wing extremism as utilized by the media, political community, academia, and the government. We suggest that the historical definitions of the right wing are inadequate and fail to describe extremism accurately and consistently. Using evolutionary game theory, this article further argues that right-wing extremism (and left wing) is based on an evolutionary process to secure social existence and will rise as predators challenge historical hierarchical systems.

Improving Biocompatibility And Structural Integrity Of Decellularized Biomaterials, Elaine Vanterpool, Jayden Vanterpool, Ayanna Liburd, Andrew Mcintosh, Cayden Pyform, Cameron Scott, Jea Joseph Msie

Student Posters

Venous grafting using synthetic and biomaterials has been one of the forefront issues of the scientific community. For years, in vitro experimentation of both bio and synthetic materials has been carried out with the hope of treating issues like chronic venous insufficiency, heart attacks, artery blockage, etc. Within these issues, there has been much success. Numerous cases have made it to clinical trials with grafts lasting as long as two years within the patient. Nonetheless, some common and persistent issues occur within all the cases observed. Despite extensive experimentation and development of the most prestigious technology, thrombosis, negative immune response, …

Using Secreted Biomarkers In The Development Of The Detection Of Advanced Cancer Screening System, Elaine Vanterpool, Jaydan Vanterpool, Jordon Vanterpool, Robert Lister, Shania Swain, Enock Ngoga, Jovaughn Redley, Imani Shields, Dalen Jones, Santiago Moreno, Ronnie Nichalson, Jea Joseph Msie

Student Posters

As of 2020, there were an estimated 19.3 million new cancer cases and almost 10 million cancer deaths. Among the different types of cancers in the world, the most prevalent cancer, lung cancer, accounted for 23% of all cancer deaths (CDC) and has been relatively steady since 1999. However, by using Detection of Advanced Cancer Screening (D.A.C.S), many patients with cancer cases would receive efficient, reliable treatment in a timely manner. According to Cancer.gov, multiple participants reported being screened for cancer, “After they had ‘aged out of the recommended range for routine cancer screening”. (Dr. Moss) “We found that over …

Augmenting Deep Learning For Efficient Nextg Wireless Communication And Sensing Systems, Hem Kanta Regmi

Theses and Dissertations

Wireless networks have become an integral aspect of our daily lives. Over the years, earlier generations of wireless networks have enabled some innovative applications, such as wireless gaming, fast internet browsing, and home automation, which were previously unattainable. However, to support emerging technologies like autonomous driving, virtual reality, telemedicine, and intelligent manufacturing, which require high data throughput and low latency, there is a need for advanced wireless networks. Legacy networks like WiFi/LTE, which operate below 6 GHz, have limited bandwidth and are insufficient to fulfill the high data throughput demands of several applications. Millimeter-wave (mmWave) networks, operating between 30 GHz …

Approaches To Teaching Music Reading To Students With Dyslexia: A Guide For Piano Teachers, Olivia Grace Bradstreet Colomaio

Theses and Dissertations

Dyslexia is the most common learning disability in the United States, affecting approximately one in five individuals. According to the DSM-V-TR, the ICD-11, and the International Dyslexia Association, dyslexia is a Specific Learning Disorder that causes issues with phonological processing, sequencing of information and information processing, word recognition, reading fluency, and other issues. Due to its prevalence, the chances of piano teachers encountering a student with dyslexia in their teaching studios is highly likely. However, there is relatively little research available for piano teachers of students with dyslexia. In the music lesson, common areas of struggle for students with dyslexia …

Pulsesight: Ai-Powered Smartphone Solution For Non-Invasive Oxygen Saturation, Respiration Monitoring & Emr Integration, Kazi Zawad Arefin

Dissertations (1934 -)

The utilization of non-invasive, contactless methods to detect physiological parameters such as oxygen saturation (SpO2) and respiration rate has the potential to significantly improve healthcare delivery. This dissertation suggests a new system that utilizes photoplethysmography (PPG) signals extracted from facial and fingertip video recordings. These video recordings are captured using a standard smartphone. The system accomplishes real-time, contactless health monitoring without the necessity of specialized medical equipment by employing advanced image processing and signal analysis techniques. This method addresses critical health challenges, particularly for vulnerable populations, by facilitating continuous monitoring in resource-constrained environments. The development of a context-aware mobile application …

Urban Base Cations: Fate, Transport, And Effect On Nitrogen Cycling Genes In Green Stormwater Infrastructure, Duyen Thuy Lam

Dissertations (1934 -)

Urbanization has significantly changed the natural cycling of base cations, primarily due to the use of deicer salts, such as sodium chloride, and chemical weathering of limestone and concrete infrastructure. An unintended consequence is the accumulation of salt across urban settings. These base cations, transported mainly by stormwater runoff, accumulate in soils, streams, lakes, and groundwater, posing risks to soil health, water quality, and ecosystems. To mitigate stormwater runoff and pollutants, cities have adopted stormwater best management practices, shifting from traditional gray to hybrid gray-green infrastructure. As a result, salt-laden runoff is increasingly routed into green stormwater infrastructure (GSI), where …

Dual Quaternions For Gravity Recovery Missions, Ryan Kinzie

Doctoral Dissertations and Master's Theses

A dual quaternion-based modeling, state estimation and control approach is introduced as a better alternative to the traditional methods which are currently utilized for gravity recovery missions. The proposed modeling and control approach was verified against and compared to the tangent bundle to Special Euclidean Group 3 through MATLAB simulations. The dual quaternion-based approach shows superior performance over traditional linearized and uncoupled methodologies, in both modeling accuracy of spacecraft translational position, and the ability to control the pose of a test mass relative to its host spacecraft. Utilizing data products from the Gravity Recovery and Climate Experiment Follow-On mission, a …

Exploring A Novel Adaptive Mesh Refinement Strategy For High-Speed Cfd, Arjun Jaishankar Vedam

Doctoral Dissertations and Master's Theses

Adaptive Mesh Refinement (AMR) techniques to efficiently and robustly achieve grid independent solutions on multi-element unstructured grids is a topic of practical interest within the CFD community.

The current effort focuses on the efficiency of a novel Adaptive Mesh Refinement (AMR) strategy that is developed and evaluated for transonic high-speed flows using Ansys Fluent. The algorithm for marking cells for adaptation is designed to systematically reduce local truncation errors based on the curvature of the primitive vector field. The algorithm for marking cells for adaptation is described in sufficient detail to be portable to other flow solvers that offer AMR. …