Digital Commons Network^™

How To Use Social Media And Artificial Intelligence To Promote Mental Health Among Chinese And Chinese American College Students In The U.S., Ni Zhang, Jingru Guan, Terry Zou, Tianqin Shi, Kaikai Liu

Faculty Research, Scholarly, and Creative Activity

This study explored the potential of using social media and artificial intelligence (AI) to tackle language and cultural barriers in order to promote mental health among Chinese and Chinese American college students. Ten bilingual (Chinese Mandarin and English) focus group sessions were conducted over Zoom with 26 Chinese and Chinese American students at a university on the west coast of the United States between October 2023 and February 2024. Thematic analysis of the focus group meeting transcripts was conducted via deductive coding and then inductive selection of quotes on Google Document and Nvivo. Social media provides a platform for providing …

Back To The Basics: Extracellular Protein Interaction Networks Of The Human Infant Immune System, Mavis Amity Irwin

Theses

Datamining without an age filter proves challenging, especially when searching for direct data from human infants. Although online databases provide immune interaction networks, they often lack information about the age of data sources, resulting in categorizations as age-unspecified. This limitation underrepresents the physiology of naïve immune systems in infants, particularly since full-term infant immunity transitions to an adult-like phenotype between 24 and 30 months of age. This study aims to reconstruct an age-specific immune interaction network for full-term infants by integrating literature-based evidence with existing online database content. A list of 60 extracellular protein candidates involved in immune responses was …

Methods Of Quantum Circuit Simulation: A Comprehensive Comparative Analysis, Anthony Peter Bacchetta

Theses

The advent of quantum computing has ushered in a new era of computational capabilities, promising to solve problems that were previously intractable for classical computers. Quantum circuit simulation is an essential aspect of harnessing the potential of quantum algorithms, and understanding quantum systems. This thesis presents an exploration and comparative analysis of various methods used in the simulation of quantum circuits, aimed at providing a comprehensive understanding of their strengths, weaknesses, and practical applications. This starts with a dive into the foundational concepts of quantum circuits, quantum gates, and the fundamental principles underlying quantum computation. Quantum circuit simulation emphasizes the …

Innovative Solutions For Data Accessibility: Utilizing Synthetic Data In Dewa Operations, Saif Khalid Alshahin

Theses

Smart‑meter data are pivotal to modern demand‑side management and predictive maintenance, yet strict confidentiality rules at Dubai Electricity and Water Authority (DEWA) hinder internal access. Synthetic data generated by Generative Adversarial Networks (GANs) offers a promising privacy‑preserving alternative, potentially unlocking analytics without exposing customer information. This study assesses the ability of three GAN variants—vanilla GAN, Tabular GAN (TGAN), and Conditional Tabular GAN (CTGAN)—to replicate real consumption patterns. A publicly available \emph{Smart Meters in London} daily dataset comprising 3.51 million records was utilised. After exploratory data analysis (EDA) and cleansing, identifier (\texttt{LCLid}) and date (\texttt{day}) variables were removed, leaving seven numerical …

Towards Vision Intelligence-Based Liver Surgery, Zixin Yang

Theses

Despite advancements in surgical interventions, modern procedures still heavily rely on surgeons' expertise, requiring extensive training while maintaining limited accuracy. Although image guidance systems have been developed, “GPS-like” surgical navigation systems have yet to become standard practice due to their high costs and accuracy limitations. This thesis aims to enhance surgical navigation and mitigate some of its current limitations by leveraging vision intelligence: integrating image processing, modeling, and computer vision to extract rich, underlying information from images. The key to achieving these improvements lies in improving surgical perception, which involves understanding the spatial relationships between the endoscopic camera, surgical instruments, …

Intellimad: A Framework For Secure Machine Learning Models Evaluation And Fine-Tuning In Federated Setting, Dmitrii Korobeinikov

Theses

In contemporary artificial intelligence (AI) appli- cations, Machine Learning (ML) models are core components enabling AI-driven functionalities, yet selecting and fine-tuning a model and its hyperparameters remains challenging. ML model architecture, as well as key model training parameters, such as the number of training epochs, batch size, and learning rate, are highly dependent on both the dataset modalities and the specific task resolved in a particular application. More sophisticated execution setups may require determination of additional environment-related parameters, such as identifica- tion of computational capabilities required for execution of a particular AI-driven task, or discovery and establishment of desired security-related …

Cart To Doorstep, Giridhar Yadav Nazarapur

Electronic Theses, Projects, and Dissertations

Due to hectic schedules and long working hours, many people find it challenging to allocate time for traditional shopping in today's fast-paced world. This often leads to a preference for online shopping, as it provides convenience and flexibility. However, despite its benefits, online shopping still lacks a seamless experience where customers can easily access a wide range of products, manage their shopping preferences, and make hassle-free payments—all from the comfort of their homes. To address this, the "Cart to Doorstep" project was developed. This web application aims to create an efficient and user-friendly online shopping platform that streamlines the shopping …

Virtual Makeup And Technology Integration, Vishwa Bhatt

Electronic Theses, Projects, and Dissertations

The Virtual Makeup Streamlit application presents an advanced approach to digital cosmetic try-on by allowing users to apply makeup to their facial images in real time. This project uses computer vision and web technologies to create an interactive and user-friendly platform that capitalizes on the increasing popularity of virtual try-on solutions in the cosmetics industry.

At its core, the system uses effective facial detection and semantic segmentation techniques to recognize and separate facial areas such as lips and hair. Techniques such as U-Net and Resnet, and Midepipe are used to create accurate segmentation masks, which are essential for accurate makeup …

Experimental Study Of Process Parameter Effects On Internal Defects In Titanium Coaxial Wire-Based Laser Metal Deposition, Remy Mathenia, Braden Mclain, Todd Sparks, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Wire-based laser metal deposition is an additive manufacturing process that can be used in the efficient manufacturing of complex structures. This paper utilizes a three-beam coaxial laser wire system to explore the effect of process parameters on the resultant deposition density. The reduction in or elimination of defects is important to the mechanical properties of the additively manufactured material and the widespread adoption of additive manufacturing processes. In this work, two-bead-wide walls were deposited under varying experimental conditions, including the traverse feed rate and workpiece illumination proportion. A method for calculating the bead pitch and layer height increment based on …

Racial Bias In Ai: The Impact Of Discriminative Algorithms On Minority Communities, Morgan A. Jones

FCRH Honors Program Theses

With the rise of generative AI infiltrating many areas of our everyday lives, it's essential to acknowledge how AI can be trained on discriminatory data. When these AI systems are trained with information that is racist, they produce answers that possess a racial bias, which further perpetuates and enforces the systemic inequalities that minorities experience. Prior research discusses that racial bias is a problem in the use of AI and provides case studies on how racial bias has been enacted in large-scale projects. However, this research does not explain or acknowledge the long-term effects of racial bias on minorities. This …

Impact Of Altering Gut Microbiota With Multinutrient Supplementation On Neuropsychiatric Symptoms In Attention Deficit/Hyperactivity Disorder, Benjamin Hinkle

Physician Assistant Scholarly Project Papers

Attention-Deficit/Hyperactivity Disorder (ADHD) is a prevalent neuropsychiatric condition affecting children, often characterized by inattention, hyperactivity, and impulsivity. Recent evidence suggests a potential link between gut microbiota composition and neuropsychiatric disorders, including ADHD, through the gut-brain axis (GBA). A literature review of studies published between 2017 and 2024 explores the efficacy of multinutrient interventions on influencing gut microbiota to treat the core symptoms of ADHD in children ages 6-12 years old. Findings indicate that multinutrient supplementation may modulate gut microbiota and subsequently impact neuropsychiatric symptoms, offering a promising adjunctive treatment for ADHD. However, variability in study methodologies and small sample sizes …

The Comparison Of Once Daily Insulin And Once Weekly Insulin In Patients With Diabetes Mellitus, Carly Gilbertson

Physician Assistant Scholarly Project Papers

Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia resulting from defects in insulin secretion, insulin action, or a combination of both. The purpose of this literature review is to determine if patients with diabetes mellitus taking once weekly insulin injections compared to once daily insulin injections offer the same, or better, effectiveness at lowering their HbA1c. This is critical in the management and progression of the disease. The electronic databases PubMed, Clinical Key and Embase were searched and there were 92 articles found. Inclusion criteria included articles published within the past 5 years, randomized clinical trials and meta-analysis. …

Mixing-Controlled Compression Ignition Of Ethanol Using Exhaust Rebreathe At A Low-Load Operating Condition—Single Cylinder Experiments In A Heavy-Duty Diesel Engine, Tyler Johnston, Jared Zeman, Adam Dempsey

Mechanical Engineering Faculty Research and Publications

As pollutant emissions regulations in the heavy-duty sector become further stringent, the energy requirements in this sector continue to increase. Due to the high-power density and operating period requirements within this sector, full electrification is challenging. A viable solution to meet the stringent requirements for criteria pollutant and greenhouse gas (GHG) emissions is the use of low carbon renewable fuels. Low carbon renewable fuels are desirable due to their lower carbon content per unit energy compared to conventional fossil diesel fuel. However, implementing some low carbon renewable fuels in the heavy-duty sector poses challenges due to their low reactivity and …

Pollination Synchrony Along A Great Lakes Thermal Gradient, Joe Armstrong

Biology Theses

Pollination is an essential mutualistic interaction between plants and animals. Often agricultural crops rely on successful pollination to provide profitable and nutrient rich harvests. Successful pollination requires synchrony between flowers and pollinators. Western New York with its proximity to the Great Lakes has benefited as a Climate refugia; however, recent climate change and increased temperature variation have threatened regional fruit crops. In this thesis, I explored the synchrony between native pollinators, non-native pollinators, and apple flowering along a coastal to inland gradient for farms in Niagara County. I measured temperature, evaluated apple flower phenology, and harvested pollinators during the Spring …

Evaluating Emotional Responsiveness In Large Language Models: Plutchik’S Emotions As A Framework, Sridivya Pirisingula

Interdisciplinary Informatics Theses, Dissertations, and Student Creative Activity

This thesis combines two complementary research efforts examining how artificial intelligence, specifically OpenAI’s ChatGPT, interacts with and processes human emotions. The first paper explores ChatGPT’s emotional adaptability, investigating whether the model’s responses vary in tone, style, or empathy when exposed to emotionally charged prompts. The study uses sentiment analysis tools, readability scoring, and emotional congruence matching to assess how the model interprets emotional cues embedded in the text. Drawing from theories in affective computing, psychology, and language modeling, this research aims to understand whether ChatGPT can simulate emotional awareness and adapt its communication style based on perceived human sentiment. These …

Presentation: Accuracy Of Ecg Chest Electrode Placement In Prehospital And Hospital Settings, Edwin L. Clopton, Kristiina Hyrkas Phd, Licnsc, Mnsc, Rn

Costas T. Lambrew Research Retreat 2025

Recipient of the Peter W. Bates Award for Excellence in Health Professions Education Research at the 2025 Costas T. Lambrew Research Retreat.

Metabolic Responses Of Adipose-Derived Stem Cells In Collagen I Hydrogels, Caroline R. King

Biological Sciences Undergraduate Honors Theses

Peripheral nerve injury affects approximately 44 in 1 million people in the United States every year and can lead to incomplete nerve recovery and loss of motor and sensory function. A significant amount of energy is required for nerve injury repair. A lack of energy allocation to the injury site hinders repair. Current treatments include hollow nerve guidance conduits, decellularized nerve grafts, and autografts. However, they are limited by factors such as donor site morbidity and sustained immunosuppressive treatments. Using three-dimensional collagen I hydrogels laden with adipose-derived stem cells (ASCs) can assist in neural regeneration. Three-dimensional collagen scaffolds aim to …

Towards The Design Of A Super Fgf1-Fgf10 Chimera, Megan Brown, Suresh Thallapuranam

Biological Sciences Undergraduate Honors Theses

The Fibroblast Growth Factor family consists of 23 different fibroblast growth factors (FGFs) that are each involved in various cellular processes, including cell proliferation and tissue repair. Fibroblast growth factor receptors (FGFR) are different tyrosine kinase receptors. There are four FGFRs in the human body, each binding to different combinations of FGFs. Fibroblast growth factor 1 (FGF1) is the only FGF that can bind with all four types of fibroblast growth factor receptors. Therefore, it is the most powerful mitogen. However, FGF1 has low thermodynamic stability under the physiological conditions. Prior work in the Kumar lab has constructed several points …

A Nano-Scale Approach To Controlled Apoptosis In Brain Cancer Through Magneto-Mechanical Actuation, Sakura Rieck

Biological Sciences Undergraduate Honors Theses

In this study, we investigate the effects of cell therapy and magneto-mechanical actuation (MMA) to treat glioblastoma (U87). MMA approach employs super low-frequency alternating magnetic fields (AMF) to actuate intracellular PEGylated superparamagnetic iron oxide nanoparticles (PEG-SPIONs). Magnetic forces are translated into mechanical agitation on PEG-SPIONs, which can disrupt key cellular components. We explored two ways in which the MMA approach can be used to combat cancer growth. First, we investigated MMA directly in U87 cells. Preliminary observations indicate that PEG-SPIONs are intracellularly taken up by the U87 cells via micropinocytosis. Cell-counting kit-8 toxicity assays revealed a cytotoxic effect of MMA …

Occupational Therapy Fellowship Curriculum Design: A Framework And Curriculum Mapping, Sydney Mitchell

Post-Professional Occupational Therapy Doctorate - Innovations in OT Symposium: Transforming Possibilities into Practice

Objective. There is little published research on occupational therapy (OT) fellowships and varying levels of understanding around fellowships. The purposes of this IRB-exempt capstone were to identify stakeholder perception of OT fellowships, create a neurologic OT fellowship to bridge the gap in access to this training in the Southeast, and apply a conceptual framework during development. Methods. Anonymous surveys and semi-structured interviews were used to identify stakeholder needs for the curriculum. Methods focused on curriculum outline, development of one educational lesson, and incorporating formative and summative assessments. Five volunteers rated the module on usability and overall experience. The curriculum was …

A Random Forest Regression Approach For Prediction Of Specific Flux For Ultrafiltration Membranes, Isabel Medeiros

Master's Theses and Capstones

Ultrafiltration (UF) membrane operation is strongly affected by fouling, where dissolved and suspended water quality constituents interact with each other and the membrane surface, leading to pore blockage. As a result, a fouled membrane loses filtration efficiency, reducing the volume of treated water produced and increasing operation and maintenance costs associated with membrane cleaning. At a Dutch full-scale facility in North Holland, fouling is indicated by both an increase in the amount of pressure required across the membrane, known as transmembrane pressure (TMP), and a decrease in permeability, represented by specific flux (SF). The facility performs hydraulic backwashing - both …

May 2025 Library & Learning Newsletter, Minnesota State University, Mankato. Library & Learning Dean’S Office Communications Team

Library & Learning Newsletters

PDF version of the May 2025 (Volume 3, Issue 7) Library & Learning Newsletter.

Beyond The Flow: A Critical Examination Of Engagement And Learning Outcomes In Game-Based Learning Through Bibliometric And Manual Literature Analysis, Daniel Ray Singletary

Boise State University Theses and Dissertations

This study examines the role of flow in game‐based learning and compares the effects of continuous flow states with those produced by structured cognitive interruptions. The research combines a bibliometric analysis of 2,466 peer‐reviewed articles (2004–2024) with a manual review of 106 studies using a custom Flow‐Impact Analysis Framework (FIAF). This framework was developed specifically for the review and may assist future investigations into flow in game‐based learning. FIAF categorizes studies based on how they define flow, the instruments used for its measurement, and the links between flow and cognitive, affective, and behavioral learning outcomes.

Findings show that most research …

Exploring Factors That Increase Self-Efficacy In Science, Technology, Engineering, And Mathematics (Stem) In Elementary Student Populations, Gina Kwid

Boise State University Theses and Dissertations

This dissertation explores gender and racial-minority perceptions that enhance self-efficacy in science, technology, engineering, and mathematics (STEM) among elementary student populations using a mixed methods approach. Quantitative data were collected from 61 fifth grade students at a public charter school in Idaho through surveys. Qualitative data were gathered through interviews, observations, and field notes with 13 students, 2 teachers, and 7 parents to identify key themes. The study researches the constructs of family support, engagement and participation in STEM activities, and students’ perceived long-term value of STEM learning as key factors in developing self-efficacy. Despite increasing awareness of the need …

Improved Snow Distribution Estimates Using A Rapid-Response Lidar And Photogrammetry System, Naheem Idowu Adebisi

Boise State University Theses and Dissertations

Snow plays a critical role in global hydrology, climate systems, and human activities, particularly in mountainous regions where it is a primary source of freshwater, influences the energy balance, and impacts mobility and commerce. Despite its importance, accurately mapping and predicting snow distribution remains a major challenge due to the complex spatial and temporal variability of snowpack and the lack of an ideal observation system. This dissertation aims to advance our monitoring capability, understanding, and prediction capacity of snow distribution using Light Detection and Ranging (LiDAR) and photogrammetry techniques.

In chapter 2, I discussed the high-resolution LiDAR-derived datasets of multiple …

Ratemaking’S Trilemma And The Case For Time-Based Electricity Rates, Kyle J. Blasinsky

UC Law Environmental Journal

Ratemaking has a trilemma. How should utilities and policymakers balance the competing goals of ratemaking: sufficiency, efficiency, and equity? Sufficiency is principally a legal constraint that creates a revenue floor during ratemakings to address concerns about unconstitutional takings. The latter goals—efficiency and equity—have fewer legal limitations but compel important policy tradeoffs when designing rate structures for electricity consumers. Recently, technological ad-vancements and shifting social priorities have prompted a rebalancing of these seemingly conflicting goals. New technologies have made time-based electricity rates a viable means of demand response in many communities, reducing the need for expensive and polluting peaker plants and …

Resilience Webtool: Engaging Community Partners To Humanize Data For Use In Local Resilience Planning In Valley County, Idaho, Sabrina Akther

Boise State University Theses and Dissertations

Advancements in technology have made hazard data increasingly available. However, officials in rural communities with limited resources often face challenges in accessing, interpreting, and applying these data to assess vulnerabilities and plan future development. Furthermore, when hazard data is not paired with relevant population and infrastructure, data vulnerability assessments become increasingly difficult. To address this challenge, this project aims to co-create a web tool with decision makers in Valley County, Idaho following a user-centered design approach, consolidating hazards, social vulnerability, and infrastructure data to help local officials with risk management, decision-making, and resilience planning. The project started with listening sessions, …

Advancing Snow Cover Observations In Glacierized And Alpine Environments Using Optical Remote Sensing, Rainey Aberle

Boise State University Theses and Dissertations

Warming air temperatures in recent years have led to declines in seasonal snow pack across western North America. These changes have profoundly impacted communities that depend on seasonal snow melt for water resources, as well as glaciers that act as critical long-term reservoirs in the region. While global snow cover extent products are available, they often fail to reliably distinguish between snow, glacier ice, and clouds, which are prevalent in western North America. Additionally, water managers in the region typically rely on point-based observations of snow mass for decision-making, despite the pressing need for comprehensive, watershed-scale estimates. To address these …

Understanding The Cybersecurity Knowledge And Cybercrime Experiences Of Older Adults Using A Learning Game, Richard Conrad West

Dissertations

The purpose of this case study was two-fold. First, it was intended to evaluate the effectiveness of teaching internet safety to older adults through a fun, internet-based learning game. Second, it was carried out to understand the experience of internet fraud on older adults so that fraud prevention techniques can be refined and tailored to the online threats they face. Five adults over 60 who were previously online fraud victims participated in this study, which was carried out over three phases.

First, participants played a learning game that assessed their understanding of key cybersecurity topics, provided lessons explaining the risks, …

Evaluating The Indirect Effect Of Microaffirmations On Intersecting Marginalized Identities And School Sense Of Belonging Among School Psychology Graduate Students, April Pratt

Dissertations

There is a discrepancy between the proportion of school psychologists identified as racially, ethnically, or linguistically diverse (REL) in the United States and the proportion of REL students they serve (Blake et al., 2016; Proctor & Owens, 2019). Current data estimates over 80% of school psychologists identify as white (Goforth et al., 2021), whereas more than 50% of U.S. public school students have non-white racial/ethnic identities (Irwin et al., 2024). In addition to increased recruitment of REL students to school psychology graduate programs, trainers in these programs must implement effective strategies to ensure retention. One method is to increase students’ …