Digital Commons Network^™

Automated Brain Tumor Classifier With Deep Learning, Venkata Sai Krishna Chaitanya Kandula

Electronic Theses, Projects, and Dissertations

Brain Tumors are abnormal growth of cells within the brain that can be categorized as benign (non-cancerous) or malignant (cancerous). Accurate and timely classification of brain tumors is crucial for effective treatment planning and patient care. Medical imaging techniques like Magnetic Resonance Imaging (MRI) provide detailed visualizations of brain structures, aiding in diagnosis and tumor classification^[8].

In this project, we propose a brain tumor classifier applying deep learning methodologies to automatically classify brain tumor images without any manual intervention. The classifier uses deep learning architectures to extract and classify brain MRI images. Specifically, a Convolutional Neural Network (CNN) …

Parity In Higher Education In Prison Programs: Does It Exist?, Michael Lee Griggs, Vianey Luna

Electronic Theses, Projects, and Dissertations

The expansion of college-in-prison (CIP) programs, especially in California, where incarcerated college enrollment increased from 11,472 students to over 15,000 in two years, has spotlighted higher education for incarcerated individuals. This increase, supported by legislation that expands funding for CIP programs and allows time off sentences for successful course/degree completion, is further bolstered by the restoration of Federal Pell funding for incarcerated students after a 28-year ban. Despite the acknowledged benefits of CIP programs in reducing recidivism and enhancing post-release outcomes, existing research highlights the need for additional exploration into the quality of CIP programs. Senate Bill 416 further emphasizes …

Artificial Intelligence's Ability To Detect Online Predators, Olatilewa Osifeso

Electronic Theses, Projects, and Dissertations

Online child predators pose a danger to children who use the Internet. Children fall victim to online predators at an alarming rate, based on the data from the National Center of Missing and Exploited Children. When making online profiles and joining websites, you only need a name, an email and a password without identity verification. Studies have shown that online predators use a variety of methods and tools to manipulate and exploit children, such as blackmail, coercion, flattery, and deception. These issues have created an opportunity for skilled online predators to have fewer obstacles when it comes to contacting and …

Effectiveness Of Cnn-Lstm Models Used For Apple Stock Forecasting, Ethan White

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the effectiveness of convolutional neural networks mixed with long short-term memory (CNN-LSTM) models, and an ensemble method, extreme gradient boosting (XGBoost), in predicting closing stock prices. This quantitative analysis utilizes recent AAPL stock data from the NASDAQ index. The chosen research questions (RQs) are: RQ1. What are the optimal hyperparameters for CNN-LSTM models in stock price forecasting? RQ2. What is the best architecture for CNN-LSTM models in this context? RQ3. How can ensemble techniques like XGBoost effectively enhance the predictions of CNN-LSTM models for stock price forecasting?

The research questions were answered through a thorough …

Deconstructing Standard English Ideology: Elements Of Equitable And Inclusive Language And Literacy Education For Our Times, Gricelda Carbajal

Electronic Theses, Projects, and Dissertations

ABSTRACT

This thesis argues for the deconstruction of the standard English ideology, which holds that standard English is inherently superior to other English varieties. It examines the ideology’s detrimental effects on those who speak and use nonstandard English varieties, mostly minorities and people of color, who are linguistically profiled and marginalized because of the ways they speak. The ideology can also generate intensified reactions to perceived grammar and usage errors in those who subscribe to its prescriptivist views, and can promote judgments and stereotypes which impede communication and connection between people. To help dismantle the standard English ideology, the author …

Setting Events And Their Effects Upon Students' Behavior Goals, Linnea Hilderbrand

Electronic Theses, Projects, and Dissertations

This study investigates the impacts that setting events have upon the behavioral outcomes of students on a Check-In, Check-Out (CICO) intervention. Research was conducted through participant interviews each day, which were then translated into quantitative graphs for data analysis. The analysis has shown that there is not a significant correlation between the setting events studied and student behavioral outcomes. Although it was not statistically significant, there appeared to be some degree of correlations. Quantitative data shows that the effects of setting events upon each individual student are varied, which allows us to conclude that the effects of setting events upon …

Social Media Told Me I Have A Mental Illness, Kathleen Knarreborg

Electronic Theses, Projects, and Dissertations

Objective: This study assessed and addressed the attitudes and behaviors towards mental health information on social media, specifically regarding how it influences viewers behaviors and attitudes relating to mental health. Method: Using a quantitative research design, the study collected data through Qualtrics from a 15 question survey called the Mental Health Information Scale (MHI). The survey, distributed across several social media platforms, aimed to understand user attitudes and engagement with mental health content into three dimensions: stigma, self-diagnosis, and confidence in the validity of the content. Findings: There were 99 participants in this study, 69.9% female, 21.4% male. The factor …

An Empirical Study On The Efficacy Of Llm-Powered Chatbots In Basic Information Retrieval Tasks, Naja Faysal

Electronic Theses, Projects, and Dissertations

The rise of conversational user interfaces (CUIs) powered by large language models (LLMs) is transforming human-computer interaction. This study evaluates the efficacy of LLM-powered chatbots, trained on website data, compared to browsing websites for finding information about organizations across diverse sectors. A within-subjects experiment with 165 participants was conducted, involving similar information retrieval (IR) tasks using both websites (GUIs) and chatbots (CUIs). The research questions are: (Q1) Which interface helps users find information faster: LLM chatbots or websites? (Q2) Which interface helps users find more accurate information: LLM chatbots or websites?. The findings are: (Q1) Participants found information significantly faster …

Where The Ancestors Sleep: Radiocarbon Dating Of Bioapatite From La Consentida, Oaxaca, Robert Mitchell

Electronic Theses, Projects, and Dissertations

This study aims to refine the chronology of the burial sequence at the Early Formative Period (2000–1000 BCE) site of La Consentida in Oaxaca, Mexico. Previously, the chronology of mortuary spaces at La Consentida was supported by nine radiocarbon dates (2020–1510 cal BCE) from secure contexts, including charcoal, carbonized material from pottery, and two human bone samples processed together using R_combine to establish a single direct date for human remains at the site. This thesis study dated bioapatite from nine sets of adult human remains found in the two known mortuary contexts at La Consentida and two carbon-rich sediment samples …

Code For Care: Hypertension Prediction In Women Aged 18-39 Years, Kruti Sheth

Electronic Theses, Projects, and Dissertations

The longstanding prevalence of hypertension, often undiagnosed, poses significant risks of severe chronic and cardiovascular complications if left untreated. This study investigated the causes and underlying risks of hypertension in females aged between 18-39 years. The research questions were: (Q1.) What factors affect the occurrence of hypertension in females aged 18-39 years? (Q2.) What machine learning algorithms are suited for effectively predicting hypertension? (Q3.) How can SHAP values be leveraged to analyze the factors from model outputs? The findings are: (Q1.) Performing Feature selection using binary classification Logistic regression algorithm reveals an array of 30 most influential factors at an …

Crash Detecting System Using Deep Learning, Yogesh Reddy Muddam

Electronic Theses, Projects, and Dissertations

Accidents pose a significant risk to both individual and property safety, requiring effective detection and response systems. This work introduces an accident detection system using a convolutional neural network (CNN), which provides an impressive accuracy of 86.40%. Trained on diverse data sets of images and videos from various online sources, the model exhibits complex accident detection and classification and is known for its prowess in image classification and visualization.

CNN ensures better accident detection in various scenarios and road conditions. This example shows its adaptability to a real-world accident scenario and enhances its effectiveness in detecting early events. A key …

Study Of Brain Tumor Prediction By Using Machine Learning, Vishaya Ummaneni

Electronic Theses, Projects, and Dissertations

Technological advancements in deep learning and machine learning have greatly improved the diagnosis and analysis of medical images. This culminating experience project utilized the EfficientNetV2B3 model to predict brain tumors. The research questions are: (Q1) Does the study's deep learning model perform better than current methods when it comes to predicting brain tumor? (Q2) How much does the model's performance change when using different optimizers such as Adagrad, Adam, and SGD? (Q3) Can the regularization method, such as dropout, enhance the neural network model's generalization? The findings are as follows: (Q1) Yes; the EfficientNetV2B3 model performs better than current methods. …

Protestant Church Workers' Knowledge Of Child Abuse Reporting And Reporting Behavior, Rachel Juedes

Electronic Theses, Projects, and Dissertations

Child abuse is a prevalent problem on many levels. Mandated reporting laws exist to promote earlier intervention. Studies have shown that mandated reporters are more likely to report if they receive effective training. Protestant church workers interact with many children and need to have enough knowledge to detect and report child abuse. This study utilized a quantitative online survey to answer the question: What are Protestant clergy and church workers’ knowledge about child abuse reporting? Child abuse reporting knowledge was measured in categories of victimization, detection, and reporting. A convenience sample was obtained from attendees at a church conference. Correlational …

Primary Care Access In San Luis Obispo County- Primary Care Practitioner’S Perspectives, Jessica Peckham

Doctoral Projects

This study investigates healthcare access and utilization among Primary Care Providers (PCPs) in SLO County, utilizing a mixed-methods approach. Survey responses from PCPs when applied to Levesque’s Theoretical Framework reveal variations in provider approachability and acceptability, alongside significant wait times for both new and established patients, indicating barriers in healthcare reaching. Qualitative interviews further illuminated dimensions of healthcare access, including socioeconomic disparities and provider burnout. These underscore the complexities of ensuring equitable access to primary care services. The relationship between provider and consumer dimensions, such as work-life balance, workload, and the role of advanced practice providers, highlight the intricate dynamics …

The Perceptions Of Black Teachers Regarding The Work Environment In Predominately White Schools P-12, Rhonda Lankford

Electronic Theses and Dissertations

This phenomenological study examined the experiences of Black teachers in predominately White P-12 schools, and focused on examining the external and internal challenges that Black teachers face who work in predominately White schools. Voices are sometimes ignored or muted in a society dominated by the majority White culture. This study will allow readers to experience the narratives of Black educators who work in these environments. The educators selected for this study were purposefully chosen from predominately White school districts. The researcher interviewed each subject in a semi-structured interview environment to gather data. Results of interviews lead to the emergence of …

Compassion Fatigue Among University Diversity, Equity, And Inclusion Practitioners, Stephen P. Loveless

Dissertations

The purpose of this narrative inquiry was to understand Diversity, Equity, and Inclusion (DEI) practitioners’ experiences of compassion fatigue and how their own identities impacted those experiences. The following research questions guided the study in order to understand better why this was occurring. Q1 What are the experiences of diversity, equity, and inclusion practitioners with compassion fatigue? Q2 How do diversity, equity, and inclusion practitioners’ identities influence their interpretations and experiences of compassion fatigue? Participants were selected from DEI practitioners at predominately White public institutions. Seven participants were interviewed to create 14 hours of narrative data collectively. Findings from the …

2024 May - Tennessee Monthly Climate Report, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Monthly Reports

No abstract provided.

Enhancing Audit Quality Through Artificial Intelligence: An External Auditing Perspective, Jonah Mitan

Accounting Undergraduate Honors Theses

The evolving landscape of the audit profession has been significantly influenced by the integration of artificial intelligence (AI) and automation, marking a pivotal shift in audit methodologies, the auditors' roles, and the overarching quality of audits. This thesis delves into the breadth of AI's impact on the industry through a comprehensive review of academic literature, professional publications, and industry insights, highlighting the transformative effects of AI on audit processes. AI-driven tools, including machine learning, deep learning, and natural language processing can expedite laborious audit tasks, enhancing data analytics capabilities, and enabling more accurate risk assessment and fraud detection. AI technologies …

(Wp 2024-03) The Dynamic Temporal Sequence And Reflexive Adjustment Behavior: Foundations For A Behavioral Alternative To Optimization Theory, John B. Davis

Economics Working Papers

This paper discusses the difference between mainstream and heterodox economics in terms of philosophy’s distinction between two types of temporal sequences governing events: the static, truth-tenseless before-after sequence and the dynamic, truth-tensed past-present-future sequence. Mainstream theory and optimization analysis employs the first. However, Aristotle showed long ago this implies fatalism. Heterodox explanations employ the second, which I argue implies people reflexively adjust their choices over time in a combined backward-looking and forward-looking way that rules out optimization. Central to this explanation of behavior is how uncertainty about the future is connected to uncertainty about the past. I show this can …

"I Am A Child Of The King, And I Will Not Be A Victim!" : The Impact Of A Christian Women's Self-Defense Class, Amanda Allen

ATS Dissertations

No abstract provided.

Traditions, Doctrine, And Polity : The Paradigm Of The New Orleans District Of The Louisiana Conference Of The United Methodist Church, Andryl Spikes

ATS Dissertations

No abstract provided.

Characteristics Of Effective Pioneer Leaders : A Research Project, Jonathan K. Wiest

ATS Dissertations

No abstract provided.

The Great Latino Unchurching : Reaching Latinos In A Secular Age, AndréS Zelaya

ATS Dissertations

No abstract provided.

Revisiting Pastoral And Church Leadership : A Holistic Paradigm For Effective Leadership In The 21st Century, Joshua Daniel Rungsung

ATS Dissertations

No abstract provided.

Church Revitalization : A Rediscovery Of Mission And Passion, Jonathan F. Fuller

ATS Dissertations

No abstract provided.

Leadership Development : Transforming And Equiping Pastors With Renewed Knowledge, Skills, And Tools To Enhance Biblical Leadership, Probhudan Hira

ATS Dissertations

No abstract provided.

Younger Planting : Best Practice For Planting Churches That Reach Young Adults, Benjamin Doolan

ATS Dissertations

No abstract provided.

Strategic Oversight Leadership That Produces Church Planting Networks : The Affective, Cognitive, And Behavorial Characteristics Of Oversight Leadership And Their Application To A Church Of England Resourcing Church In Leicester, Sami Lindsey

ATS Dissertations

No abstract provided.

Impact Of Medicaid Redetermination On Underserved Populations In Region 7 States: A Review, Brianna Parr

Capstone Experience: Master of Public Health

When the COVID-19 Public Health Emergency ended in May of 2023, Medicaid began the process of redetermination across the states and returned to its original eligibility rules. Because of this, the healthcare status of many Americans was affected, resulting in the loss of healthcare coverage for millions of people. Of those who have lost coverage, children make up almost half of the total. This paper assesses the negative effects of Medicaid redetermination on children and other underserved populations in communities across the four states in Region 7 (Nebraska, Iowa, Missouri, and Kansas) and identifies programs that these states can implement …

Non-Tnfi Biologic And Targeted Synthetic Dmards In Rheumatoid Arthritis-Associated Interstitial Lung Disease: A Comparative, Propensity Score-Matched Study Using National Veterans Affairs Data, Halie E. Frideres

Capstone Experience: Master of Public Health

Background/Objectives: There is a paucity of evidence on the safety and effectiveness of non- TNFi biologic therapies in RA-ILD, this study aimed to compare treatment outcomes in RA-ILD between rituximab, abatacept, IL-6i, and JAKi using the Target Trial Emulation Framework.

Methods: We emulated 3 trials comparing abatacept, IL-6i, and JAKi with rituximab (reference). Patients fulfilling validated RA-ILD algorithms initiating one of these non-TNFi b/tsDMARDs were propensity score (PS)-matched (1:1) using national Veterans Affairs (VA) data from 2006 to 2020. PS models included demographics, comorbidities, general health status indicators, and RA- and ILD-related severity measures. Study outcomes were death and respiratory-related …