Digital Commons Network^™

Ce 555 Syllabus: Additions Counseling: Psychopharmacology, Mitch Moore

Counselor Education Syllabi

This course introduces students to the pharmacology of substance abuse disorders and the dynamics of addiction, including medication-assisted therapy. Students will learn about the effects of licit and illicit drugs on the brain and body, basic drug classifications, and indications and contraindications of drugs to make appropriate referrals for medical intervention and medication evaluations and to provide basic client education.

Ce 622: Family Systems Counseling, Anquinetta V. Calhoun

Counselor Education Syllabi

This course introduces students to the theory, assessment techniques, and intervention strategies used in the practice of family systems counseling. The focus of the course will be on building a theoretical base for understanding and applying family systems counseling strategies and techniques. Didactic and experiential learning will provide students with the opportunity to apply and integrate knowledge and skills.

Ce 690 Syllabus: Intership, Karen Cathey

Counselor Education Syllabi

This course provides a practical, field-based experience in a school or community setting. This experience may be arranged with supervision coordinated through the CE Internship Coordinator and an onsite supervisor. A total of six (6) credits of internship work must be completed.

Cancer Screening Guidelines In Midwest Adult Correctional Facilities, Stephen Greenwell, Jason Adam Wasserman

Posters

National cancer screening guidelines (CSGs) exist to promote early cancer detection, reducing mortality, morbidity, and cost. The incarcerated population is at increased risk for certain cancers, decreased cancer screening, and barriers to treatment. In this study we investigate how state and federal prison CSGs differ from the National Comprehensive Cancer Network’s (NCCN) CSGs.

Deep Learning Using Vision And Lidar For Global Robot Localization, Brett E. Gowling

Master's Theses

As the field of mobile robotics rapidly expands, precise understanding of a robot’s position and orientation becomes critical for autonomous navigation and efficient task performance. In this thesis, we present a snapshot-based global localization machine learning model for a mobile robot, the e-puck, in a simulated environment. Our model uses multimodal data to predict both position and orientation using the robot’s on-board cameras and LiDAR sensor. In an effort to minimize localization error, we explore different sensor configurations by varying the number of cameras and LiDAR layers used. Additionally, we investigate the performance benefits of different multimodal fusion strategies while …

Optimizing Web Delivery: The Impact Of Rendering Methods On User Experience Across Network Conditions, Cagan Sevencan

Master's Theses

In an era where web applications are pivotal for global information dissemination and user engagement, ensuring the performance and accessibility of static web content is paramount. This need is particularly significant given the diverse accessibility requirements worldwide, influenced by varying network generations and the real-time rendering of static elements such as text, images, and videos on devices ranging from laptops to cell phones. This thesis embarks on a comparative study of client-side rendering (CSR) and server-side rendering (SSR), two fundamental techniques determining how various platforms present static content. Through detailed examination, the study aims to shed light on the nuances …

What Is The Readiness Of Social Work Students To Work With Autistic Individuals?, Ignacio Aguilar Pelaez

Electronic Theses, Projects, and Dissertations

ABSTRACT

The focus of this research proposal is to assess the readiness of social work graduate students to work with Autistic individuals. The study was conducted in partnership with an undisclosed Southern California university. The study was conducted from a positivist perspective and used the social model of disability theory as a theoretical orientation. Researchers surveyed 64 MSW students utilizing a Qualtrics survey, specifically designed for this study. The results in this study indicate that most of the social work students who participated in this study possess a satisfactory understanding and knowledge of ASD. Although the results showed that over …

Impact Of Perinatal Escitalopram Exposure On Adolescent Behavior, Jessica Bezenah - Bottorff

Electronic Theses, Projects, and Dissertations

Escitalopram (EST), a selective serotonin reuptake inhibitor (SSRI), is an antidepressant frequently used during pregnancy, yet there is limited knowledge of its long-term effects on maternal use. Past studies suggest that maternal exposure may adversely affect the fetus, which may be due to the hyperserotonergic environment caused by the nature of SSRIs during early development. Modifications of the serotonergic system in offspring during certain critical periods of development may result in long-term behavioral and cognitive changes in adulthood. Further, recent human studies have demonstrated that prenatal exposure to SSRIs in humans may increase susceptibility to autism spectrum disorder (ASD) and …

Career Motivation As Mediator Between Cultural Self-Construal And Interest, Mengxuan Zhang

Electronic Theses, Projects, and Dissertations

Understanding the association between career motivations and interest-occupation congruence can help people with different cultural backgrounds make better career decisions. The goal of the study was to examine how cultural differences predicted interest congruence, and whether career motivation was a significant mediator in the prediction. I hypothesized that independent self-construal would be associated with internal career motivation most strongly (H1), while interdependent self-construal will be associated with interpersonal career motivation most strongly (H2). Additionally, internal career motivation would mediate the relationship between independent self-construal and interest congruence (H3), and whether internal career motivation mediated the relationship between interdependent self-construal and …

The Most Important Voices In The Room: Understanding The Academic Needs Of Us-Educated Latino English Learners In Higher Education, Lisa Davenport

Electronic Theses, Projects, and Dissertations

US-educated English learners (US-ELs) immigrated to the United States as children and enrolled in school where they began learning English. Ultimately, they graduate from high school, and the majority of those wishing to continue in higher education begin in community college. These students face tremendous barriers and have lower rates of access to and completion of higher education than English monolingual students.

The study examines the transitions of US-ELs from high school to community college in the years since the implementation of California Assembly Bills 705 and 1705 and the COVID-19 pandemic. The researcher used three theoretical frameworks – LatCrit, …

Child Maltreatment Primary Prevention Methods In The U.S.: A Systematic Review Of Recent Studies, Maria Godoy-Murillo

Electronic Theses, Projects, and Dissertations

Background: Child maltreatment remains a widespread issue in the United States of America, (U.S.). Identifying effective methods of preventing child maltreatment is key to reducing the prevalence of this issue. Objective: This systematic review provides an overview of contemporary primary child maltreatment prevention methods in the U.S. to investigate their effectiveness. Methods: Using the OneSearch database, the following keywords were included: (“prevention methods” and “child maltreatment”), (“parental leave” and “child maltreatment”), (“primary prevention” and “child maltreatment”), (WIC and “child maltreatment”), (“home visit” and “child maltreatment”), (“child abuse and neglect” and “primary prevention”), (“affordable housing” and prevention and “child maltreatment”), (“early …

A Smart Hybrid Enhanced Recommendation And Personalization Algorithm Using Machine Learning, Aswin Kumar Nalluri

Electronic Theses, Projects, and Dissertations

In today’s age of streaming services, the effectiveness and precision of recommendation systems are crucial in improving user satisfaction. This project introduces the Smart Hybrid Enhanced Recommendation and Personalization Algorithm (SHERPA) a cutting-edge machine learning approach aimed at transforming how movie suggestions are made. By combining Term Frequency Inverse Document Frequency (TF-IDF) for content based filtering and Alternating Squares (ALS) with Weighted Regularization for filtering SHERPA offers a sophisticated method for delivering tailored recommendations.

The algorithm underwent evaluation using a dataset that included over 50 million ratings from 480,000 Netflix users encompassing 17,000 movie titles. The performance of SHERPA was …

Is A Social Support Based Model Better For Treating Alcoholism? A Systematic Review, Jordan Anthony Contreras

Electronic Theses, Projects, and Dissertations

Alcoholism continues to persist as a significant health issue in the United States and impacts individuals and families across race, gender, and age. While much work has been made in the field of substance abuse treatment, there remains a substantial need for additional research to formulate effective strategies for treating alcoholism and related unhealthy drinking behaviors. The existing literature suggests that mutual support groups such as Alcoholics Anonymous are the standard for achieving successful recovery among those seeking help. Simultaneously, there exists a growing amount of research proposing a range of other interventions that may prove effective in treating alcoholism. …

Plagiarism And Original Authorship In The Age Of Ai: Present Complications And Future Directions, Sarah D. Lagioia

Electronic Theses, Projects, and Dissertations

The concept of plagiarism, or the passing off of work produced by others as one’s own without appropriate acknowledgement of the source of creation, is not a new one. It is, however, being complicated in new and interesting ways by technological innovations such as artificial intelligence (AI)-based natural-language processing (NLP). In this paper, I investigate the present complications of defining and responding to plagiarism in the age of AI and suggest the future direction of our grappling with text-generative NLP programs such as OpenAI’s ChatGPT. This paper will describe perspectives on plagiarism and potential reasons behind the use of AI …

Supporting Formerly Incarcerated Individuals In Higher Education: A Quantitative Study, Lisa Marie Jones-Wiertz

Electronic Theses, Projects, and Dissertations

People from various backgrounds in the United States have college aspirations. However, those with marginalized characteristics, particularly formerly incarcerated individuals, face multiple barriers in their quest for higher education. This study carries a twofold purpose: (a) determining the extent to which formerly incarcerated individuals in higher education in California feel supported and (b) determining types of support associated with educational success among formerly incarcerated individuals in higher education in California. Using the Person-in-Environment Framework, the nonprobability sampling methods of convenience and snowball, and a quantitative research design, this study surveyed 51 formerly incarcerated students enrolled across the California State University …

Substance Use Treatment Within The Us Prison System, Timothy Hicks

Electronic Theses, Projects, and Dissertations

This study examines the challenges and effectiveness of substance use disorder (SUD) treatment within US prisons, focusing on treatment availability, accessibility, and outcomes. Through a literature review spanning PsycINFO, Academic Search Premier, Criminal Justice Abstracts, JSTOR, and PubMed, it addresses the literature gap and healthcare needs for incarcerated individuals. The research identifies limited SUD treatment availability and explores the impact of medication-assisted treatments (MATs) and therapeutic interventions. It highlights barriers such as systemic stigma and inconsistencies in treatment access and quality. Findings advocate for evidence-based treatment's role in reducing recidivism and call for policy reform and enhanced collaborative efforts to …

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 …