Digital Commons Network^™

Post-Wildfire Effects On A Headwater Stream In The San Bernardino National Forest, Kelley Giron

Electronic Theses, Projects, and Dissertations

Southern California has experienced prolonged drought conditions that have supported frequent wildfires that adversely impact ecosystems, natural resources, and human development. A primary consequence of these events is the impact on water quality and quantity. Of equal concern is evaluating how diverse land use configurations within a watershed can alter the physio-chemical properties of headwater reaches where drought and wildfire conditions are prevalent. To better understand the extent to which wildfires impact water quality and quantity across a headwater watershed, this study investigates wildfire impacts from the 2021 South Fire to Lytle Creek, a headwater stream of the Santa Ana …

Repeated Treatment With 5-Ht1a And 5-Ht1b Receptor Agonists: Evidence Of Tolerance And Behavioral Sensitization, Jordan Taylor

Electronic Theses, Projects, and Dissertations

Serotonin has been found to regulate several cognitive and physiological functions, and its role in depression and other neuropsychiatric disorders has been a focus of research. More specifically, a wealth of research regarding serotonin focuses on serotonergic medications in the treatment of neuropsychiatric disorders, such as depression and anxiety, and stimulates the 5-HT_1A and 5-HT_1B receptors. Within the last decade, there has been an increase in prescriptions of psychotropic medication for children, however, the efficacy and adverse effects of these drugs have not been evaluated in younger populations. While antidepressants reduce symptoms of depression in adults, they are …

Education As A Solution To Combat Rising Cybercrime Rates Against Children And Teenagers, Christian Javier Solis-Diaz

Electronic Theses, Projects, and Dissertations

Ninety seven percent (97%) of people between the ages of 3 and 18 are found to be users of technology and internet services daily. This number also correlates with rising cyber crime rates against people in this age bracket. It is found that people between 3 and 18 years old are found to be technologically savvy but often lack the knowledge of how to protect themselves in online environments. Researchers have suggested that cybersecurity awareness training is an effective method at combating common forms of cyberattack such as social engineering. Social engineering attacks are found to make up 98% of …

We Want It That Way: Post-Traditional Transfer Student Advising Expectations As They Transition To The Four-Year University, Jessica Davis

Electronic Theses, Projects, and Dissertations

Post-traditional students (typically defined as individuals who are at least 25 years of age, have experienced a gap in their educational journey, care for dependents, and who generally work full time [American Council on Education, 2022]), represented 35% of the post-secondary undergraduate population enrolled full time at four-year universities in the United States during the Fall 2019 term (NCES, 2020). The purpose of this phenomenological study was to understand the lived experiences of post-traditional transfer students and how their community college advising experience may have shaped/informed their advising expectations at their current university. Data was collected from six participants who …

Hypothyroid Disease Analysis By Using Machine Learning, Sanjana Seelam

Electronic Theses, Projects, and Dissertations

Thyroid illness frequently manifests as hypothyroidism. It is evident that people with hypothyroidism are primarily female. Because the majority of people are unaware of the illness, it is quickly becoming more serious. It is crucial to catch it early on so that medical professionals can treat it more effectively and prevent it from getting worse. Machine learning illness prediction is a challenging task. Disease prediction is aided greatly by machine learning. Once more, unique feature selection strategies have made the process of disease assumption and prediction easier. To properly monitor and cure this illness, accurate detection is essential. In order …

Disease Of Lung Infection Detection Using Cnn Model -Bayesian Optimization, Poojitha Gutha

Electronic Theses, Projects, and Dissertations

Auscultation plays a role, in diagnosing and identifying diseases during examinations. However, it requires training and expertise, for application. This study aims to tackle this challenge by introducing a model that categorizes respiratory sounds into eight groups: URTI, Healthy, Asthma, COPD, LRTI, Bronchiectasis, Pneumonia, and Bronchiolitis. To achieve this categorization the study utilizes a Convolutional Neural Network (CNN) model that has been optimized using techniques. The dataset used in the study consists of 920 audio samples obtained from 126 patients with durations ranging from 10 to 90 seconds. Impressively, the model demonstrates a noteworthy 83% validation accuracy and an impressive …

Building An Application Model For Efficient Ride Booking In Ride-Hailing Industry, Nikunjkumar Butani

Electronic Theses, Projects, and Dissertations

The purpose of this study is to develop an efficient ride booking application in the ride-hailing sector. The objective of the research is to provide users with an easy way to book rides at reasonable prices and convenient times. This project helps to promote the ride-hailing industry by providing guidance for the creation of real-time applications. This project answered three questions. 1. What are the technology and infrastructure requirements for developing a consolidated online application for centralized ride sharing? 2. What are other examples of application aggregators in other industries than transportation and how do they work? 3. What are …

Determining The Effects Of Glycocalyx Modifications On The Electrophysical Properties Of Human Mesenchymal Stem Cells, Rominna E. Valentine Ico

Electronic Theses, Projects, and Dissertations

Human mesenchymal stem cells (hMSCs) have gained popularity in clinical trials due to their multipotent differentiation characteristics, ability to secrete bioactive molecules, migrate into diseased or damaged tissues, and their immunosuppressive properties. HMSC cultures are heterogeneous, containing stem cells, partially differentiated progenitor cells, and fully differentiated cells. One of the major challenges with hMSCs therapeutic potential is the inability to select specific cell subpopulations due to an insufficient number of biomarkers. Often the biomarkers used, like those for fluorescence-activated cell sorting, are not sufficient to define hMSCs because they overlap with other cell types. Consequently, there is a need to …

The Role Of Muslim Communities In Easing The Challenges For Young U.S. Muslim Immigrant Children’S School Outcomes, Ghada Kassir

Electronic Theses, Projects, and Dissertations

American Muslims have increasingly experienced Islamophobia-related discrimination and stereotypes, including unjust accusations of violence, hatred, and terrorism, especially since 9/11. This study investigates the experience of Muslim immigrants in the U.S. and its impact on their children’s school outcomes. Using the theoretical frameworks of segmented assimilation, acculturation, social identity theory, and critical race theory, post-9/11 Muslim immigrants and their elementary school children are the focus of this study. Specifically, this study examines the associations among the following constructs: Muslim identity, culture and traditions, community connectedness, and children's school outcomes. This study hypothesized that there is a negative correlation between Muslim …

Master Of Fine Art Project, Jeanne Holbrook, Jeanne Holbrook

Electronic Theses, Projects, and Dissertations

Currently, I am exploring how American culture has formed our understanding of the reality of the concept of happily ever after. How did the pursuit of the American Dream evolve to be a hegemonic influence transforming America into a consumer society that exists only as advertising images of happiness?

The exhibition is a collection of approximately 9 paintings. The subject I am exploring is the American dream, as presented through suburbia and the belief in a consumer society to bring us happiness. My imagery is based on generations of stories given to us through fairytales, myths and religious icons.

My …

Toxic Leadership And Its Effect On Employees' Subjective Well-Being, Vaishnavi Waldiya

Electronic Theses, Projects, and Dissertations

Toxic leadership is an area of growing interest. The goal of my study was to investigate toxic leadership and how toxic leader behaviors relate to employee outcomes. Part of my goal was to examine the role of toxic leadership (taking other factors such as burnout, and workplace incivility) and how toxic leadership and other variables contribute to an employee's subjective well-being. Hence, the goal of this study was to examine the following effects: Toxic leadership behaviors and their effects on subjective well-being of the employee; and b) mediating roles of incivility and burnout on toxic leader behavior and the employee’s …

Analysis And Assessment Of Land Use / Land Cover Impact On Human And Natural Ecosystems In The Salton Sea Watershed, 2013 - 2021, Diego Ramirez

Electronic Theses, Projects, and Dissertations

This study represents an interdisciplinary analysis of the changing landscape of the Salton Sea Watershed from 2013 to 2021, focusing on land use land cover (LULC) category changes, climatic variations, and socioeconomic factors. The findings of this research show a shift in land cover categories, portrayed by the changes of natural landscapes and vegetative areas into rapidly increasing urbanized expansion and increased impervious surfaces. These changes pose concerns about increased temperature in the region, a decrease in overall water availability and groundwater infiltration, and an increase in pollution. The study explores 10 sub-watersheds within the Salton Sea Watershed basin, focusing …

Human Trafficking In The Americas: Comparison Of Original Source Compilation Versus Unodc Data, Ivette Avila Jimenez

Electronic Theses, Projects, and Dissertations

International human trafficking (IHT) is a type of criminal activity that involves groups and individuals who facilitate the global movement and exploitation of people, often by illegal means. Estimates show that, worldwide, there are over 25 million victims of human trafficking at any given time; however, estimates are prone to under and overcounting. Focusing on the Americas, this study compared the quality of two data sources that could be used to observe IHT. Country-to-country IHT networks generated from 9 years of researcher compiled governmental and non-governmental data (2008-2017) was compared with networks generated from data downloaded from the United Nations …

Quiz Web Application, Dipti Rathod

Electronic Theses, Projects, and Dissertations

The Quiz web application is designed to facilitate the process of quiz creation and participation. This web application mainly consists of three roles: Admin, Instructor, and Student. Each role has specific features, functionalities, and permissions. With a user-friendly interface, the admin role can handle the departments, courses, and instructors. This web application also ensures smooth quiz management, allowing the instructors to schedule the upcoming quizzes, create the questions, and manage the students with ease. Student roles have features like taking quizzes and seeing their results. Additionally, this web application includes a significant feature to prevent cheating during online tests, ensuring …

A Mixed Methods Design Exploring Factors And Experiences Of Ed.D. Graduates And Time To Degree, Brian Willess

Electronic Theses, Projects, and Dissertations

In higher education, the extended time-to-degree of doctoral students creates a gap between those who graduate on time and those who do not. This delay is due to program structures, relationships, and dissertation writing. Academic success requires timely program completion and increases career opportunities for graduates. A long time to degree increases the risk of non-completion, especially during dissertations. Attrition, persistence, and dropping out have been studied, but why students graduate on time needs more examination. Most studies focus on Ph.D. students and programs with different requirements and time-to-degree, so new research must include Ed.D. students and examine doctoral graduates' …

Improving Credit Card Fraud Detection Using Transfer Learning And Data Resampling Techniques, Charmaine Eunice Mena Vinarta

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect credit card fraud. The research questions are: Q1. What cross-domain techniques developed in other domains can be effectively adapted and applied to mitigate or eliminate credit card fraud, and how do these techniques compare in terms of fraud detection accuracy and efficiency? Q2. To what extent do synthetic data generation methods effectively mitigate the challenges posed by imbalanced datasets in credit card fraud detection, and how do these methods impact classification performance? Q3. To what extent can the combination of transfer learning and innovative data resampling techniques …

Early-Warning Prediction For Machine Failures In Automated Industries Using Advanced Machine Learning Techniques, Satnam Singh

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project explores the use of machine learning algorithms to detect machine failure. The research questions are: Q1) How does the quality of input data, including issues such as outliers, and noise, impact the accuracy and reliability of machine failure prediction models in industrial settings? Q2) How does the integration of SMOTE with feature engineering techniques influence the overall performance of machine learning models in detecting and preventing machine failures? Q3) What is the performance of different machine learning algorithms in predicting machine failures, and which algorithm is the most effective? The research findings are: Q1) Effective outlier …

Cerebrospinal Fluid Biomarkers Not Associated With Neurologic Compromise Among Mild Cognitively Impaired Reverters With Parkinson's Disease, Cameron Ryczek

Electronic Theses, Projects, and Dissertations

Parkinson's Disease (PD) is a neurodegenerative disease characterized by motor (e.g. tremors) and non-motor symptoms (e.g. cognitive impairment). PD patients' change in cognitive functioning can be observed using the following classifications: cognitively intact, mild cognitive impairment (MCI), or dementia (PDD). MCI has many subtypes, one of which is MCI reversion which is defined as those with MCI at one time point reverting to cognitively intact later. While there is limited research into the utility of MCI reversion and its relationship with cerebrospinal fluid (CSF) biomarkers in PD, this study will begin to elucidate this relationship. To this end, data from …

Enhancing Accident Investigation Using Traffic Cctv Footage, Aksharapriya Peddi

Electronic Theses, Projects, and Dissertations

This Culminating Experience Project investigated how the densenet-161 model will perform on accident severity prediction compared to proposed methods. The research questions are: (Q1) What is the impact of usage of augmentation techniques on imbalanced datasets? (Q2) How will the hyper parameter tuning affect the model performance? (Q3) How effective is the proposed model compared to existing work? The findings are: Q1. The effectiveness of our model depends on the implementation of augmentation techniques that pay attention to handling imbalanced datasets. Our dataset poses a challenge due to distribution of classes in terms of accident severity. To address this challenge …

The Space Between, Alexander Dixon

Electronic Theses, Projects, and Dissertations

The Space Between investigates the intricate relationship between perception and reality. By integrating graphic design principles with the optical qualities of glass, the exhibition creates visual distortions that challenge and redefine our understanding of the world. The pervasive use of black throughout the exhibition signifies the vectorized image, a vital element of graphic design and the technological abyss prevalent within our society. The fundamental geometric shapes, coupled with minimalist sculptural forms, employ a graphic approach to highlight visual communication's influence on perception.

Graphic design has a history of shaping public perception. The basis of graphic design is the act of …

The Impact Of Covid-19 Pandemic On Fan Attendance In Major League Soccer (Mls) 2018-2022, Benjamin Appiah

Electronic Theses, Projects, and Dissertations

ABSTRACT

This culminating experience project investigates the impact of the COVID-19- on Major League Soccer (MLS). The research questions are: (Q1) How did the pandemic impact the trend of fan attendance in the MLS during the COVID-19 pandemic? (Q2) What factors impacted fan attendance in MLS games before the COVID-19 pandemic? (Q3) What factors impact fan attendance in MLS games after COVID-19 pandemic? The findings were: (Q1) Average annual fan attendance declined by 93.61% in 2019 and 2020, and an annua l increase of 49.47% between the year of 2020 and 2021. (Q2) The study revealed that 72.9% of the …

Biomarkers Of Objective Criteria For Subtle Cognitive Decline In Parkinson’S Disease, Mary Ellen Garcia

Electronic Theses, Projects, and Dissertations

Mild cognitive impairment in Parkinson’s disease (PD-MCI) is the continuum from normal cognitive function to dementia. Recent studies suggest that objectively defined subtle cognitive decline (Obj-SCD), which uses non-traditional “process” neuropsychological scores, may be a better pathway to earlier detection of cognitive impairment. Obj-SCD has been defined as the stage where cognition is not impaired, but biomarkers are present or cognitive impairment is minimal but not sufficient to meet MCI or dementia criteria. We examined the longitudinal trajectories of neurodegenerative markers among individuals who are classified as cognitive normal (CN), Obj-SCD, and PD-MCI. Past literature has been inconsistent about the …

Machine Learning For Kalman Filter Tuning Prediction In Gps/Ins Trajectory Estimation, Peter Wright

Electronic Theses, Projects, and Dissertations

This project is an exploration and implementation of an application using Machine Learning (ML) and Artificial Intelligence (AI) techniques which would be capable of automatically tuning Kalman-Filter parameters used in post-flight trajectory estimation software at Edwards Air Force Base (EAFB), CA. The scope of the work in this paper is to design and develop a skeleton application with modular design, where various AI/ML modules could be developed to plug-in to the application for tuning-switch prediction.

Predictive Model For Cfpb Consumer Complaints, Vyshnavi Nalluri

Electronic Theses, Projects, and Dissertations

Within the dynamic and highly competitive financial industry, the timely and efficient resolution of customer complaints stands as a central challenge, particularly in the intricate domain of mortgage services. The traditional processes for handling these complaints have long been recognized as laborious and resource-intensive, a situation that financial institutions, including the esteemed Wells Fargo, are keen to improve.

Currently, the industry largely relies on basic data analytics for identifying trends in customer complaints. However, this approach has its limitations, especially when dealing with complaints within the mortgage services domain. In response to this challenge, this research advocates the adoption of …

Statistical Analysis Of Health Habits For Incoming College Students, Wendy Isamara Lizarraga Noriega

Electronic Theses, Projects, and Dissertations

Health habits among college students are commonly overseen, especially for students transitioning from high school right into college. These students are becoming independent young adults, and learning how to adapt to a different scenery when it comes to their learning environment. As these young adults transition into college, this is the perfect time for the students to become more vulnerable and comfortable with their independence, and their weight begins to fluctuate. Many variables come into consideration when increasing weight as an incoming first-year student. Students are more likely to live alone, get a job, and rely on fast food and …

“Yo Sí Soy Boricua, Pa’ Que Tú Lo Sepas”: A Decolonial And Intersectional Analysis Of Alexandria Ocasio-Cortez, Jocelin Monge

Electronic Theses, Projects, and Dissertations

Historically speaking, political representation in Congressional districts in the U.S. has been predominantly White and male. Alexandria Ocasio-Cortez (AOC) is an example of a type of new mestizaconsciousness (Anzaldúa, 1987) given she is the youngest Latina congresswoman ever been elected to serve New York’s 14th Congressional District. This study employs an intersectional analysis on AOC’s viral moments with ‘The Squad’, Puerto Rico, Vogue, and Met Gala. Through a theoretical lens composed of elements of intersectionality (Crenshaw, 1991) and mestiza consciousness (Anzaldúa, 1987), this study focuses on three significant recurrent themes found in AOC’s estilos de resistencia or sensibilities …

An Exposition Of The Curvature Of Warped Product Manifolds, Angelina Bisson

Electronic Theses, Projects, and Dissertations

The field of differential geometry is brimming with compelling objects, among which are warped products. These objects hold a prominent place in differential geometry and have been widely studied, as is evident in the literature. Warped products are topologically the same as the Cartesian product of two manifolds, but with distances in one of the factors in skewed. Our goal is to introduce warped product manifolds and to compute their curvature at any point. We follow recent literature and present a previously known result that classifies all flat warped products to find that there are flat examples of warped products …

Automated Medical Notes Labelling And Classification Using Machine Learning, Akhil Prabhakar Thota

Electronic Theses, Projects, and Dissertations

The amount of data generated in medical records, especially in a modern context, is growing significantly. As the amount of data grows, it is very useful to classify the data into relevant classes for further interventions. Different methods that are not automated are very time-consuming and require manual effort have been tried for this before.

Recently deep learning has been used for this task but due to the complexity of the dataset, specifically due to inter-class similarities in the dataset and specific terminology having different meanings in medical contexts has caused significant problems in having a definitive approach to medical …

Melanoma Detection Based On Deep Learning Networks, Sanjay Devaraneni

Electronic Theses, Projects, and Dissertations

Our main objective is to develop a method for identifying melanoma enabling accurate assessments of patient’s health. Skin cancer, such as melanoma can be extremely dangerous if not detected and treated early. Detecting skin cancer accurately and promptly can greatly increase the chances of survival. To achieve this, it is important to develop a computer-aided diagnostic support system. In this study a research team introduces a sophisticated transfer learning model that utilizes Resnet50 to classify melanoma. Transfer learning is a machine learning technique that takes advantage of trained models, for similar tasks resulting in time saving and enhanced accuracy by …

Classification Of Thorax Diseases From Chest X-Ray Images, Sharad Jayusukhbhai Dobariya

Electronic Theses, Projects, and Dissertations

Chest X-ray images are crucial for medical decisions and patient care. However, their manual interpretation is time-consuming and prone to human error. This project aims to create an automated system that uses deep learning techniques to classify thorax disease from chest X-ray images. We are using the NIH Chest X-Ray Dataset, which contains many annotated images, as input data for this project. This approach uses UNet architecture as its classification layer. UNet architecture is well-known for its efficiency in image segmentation. Adding residual blocks enhances this approach's ability to classify images. The goal of this project is to create a …