Digital Commons Network^™

Does Federal Funding Address Fundamentals? Examining The Equity Effects Of Title I On Student Achievement, Veda Hudge

Electronic Theses and Dissertations 2020 - Present

This dissertation examines the equity effects of Title I funding on student achievement in Broward County Public Schools, one of the largest school districts in the United States. Title I, established under the Elementary and Secondary Education Act (ESEA) of 1965, aims to address educational disparities by providing financial resources to schools that serve economically disadvantaged students. Despite over five decades of federal intervention, significant achievement gaps persist, particularly among marginalized populations. This study investigates the effectiveness of Title I funding in improving student outcomes in English Language Arts (ELA) and Mathematics during the period 2016–2020.

Using a quantitative research …

Geospatial Methods For Interpreting And Managing Coastal Landscape Dynamics, Nithish Manikkavasagam

Electronic Theses and Dissertations 2020 - Present

Coastal landscapes are dynamic interfaces shaped by natural forces and human activity, requiring precise, multiscale monitoring for effective conservation. This research investigates some of the coastal monitoring challenges related to shoreline erosion, terrain modeling, and mangrove species classification at the Jupiter Inlet Lighthouse Outstanding Natural Area (ONA), a 120-acre coastal preserve in southeast Florida. The first study applies conditional entropy and partial correlation to assess the relationship between shoreline retreat and environmental variables using UAS-derived shoreline data collected from 2017 to 2023. The second study enhances Digital Terrain Model (DTM) accuracy, a critical factor in erosion assessments, by applying RandLA-Net, …

Institutional Learning And International Student Enrollment: A Case Study Of Perceptions Of Practice, Debra Szabo

Electronic Theses and Dissertations 2020 - Present

This dissertation examines the application of Peter Senge’s Learning Organization Theory at Florida Atlantic University (FAU), focusing on administrators' perceptions of institutional learning amid increasing international student enrollment. Higher education institutions must balance market-driven behaviors with collaborative learning environments as they navigate a competitive global landscape.

The study stresses the need to investigate institutional learning outcomes and the impact of rising international student enrollment on university policies, procedures, and organizational learning. It explores the relationship between espoused theories, strategic goals designated by FAU, and theories-in-action, which reflect actual practices in recruiting and supporting international students. By integrating Argyris and Schön's …

Pid Auto-Tuning For Usvs: A Multi-Evolutionary Optimization Ai Approach, Xavier Navarro Vicent

Electronic Theses and Dissertations 2020 - Present

USVs play a critical role in a wide range of marine applications, where precise station-keeping is essential for tasks such as autonomous launch and recovery of an onboard aerial drone. Maintaining a stable position in a dynamic marine environment requires robust control strategies to counteract external forces, including wind, waves, and currents, which can introduce vehicle oscillations and positional errors. To optimize the operability limits of the vehicle based on sea state, weather conditions, and mission requirements, the USV must be carefully tuned. Traditionally, the tuning is performed manually, which is time-consuming and can lead to operational delays. This study …

Investigating Treatment Planning Parameters For Proton Arc Technique In Pencil Beam Scanning (Pbs) Proton Therapy, Umesh Rana

Electronic Theses and Dissertations 2020 - Present

Proton arc pencil beam scanning (PBS) proton therapy is a novel approach to treating complex cancer in the field of radiation therapy. It provides conformal dose coverage to the CTV while reducing dose to healthy tissues. Unlike traditional proton therapy modalities, such as intensity-modulated proton therapy (IMPT), which primarily relies on static beam delivery, proton arc utilizes a rotational approach to irradiate the tumor from a multitude of angles, utilizing an arc of proton beams. The successful clinical implementation of proton arc PBS technology necessitates the development and validation of advanced treatment planning optimization algorithms and treatment planning techniques to …

Commissioning Of Electron Blocks In Monaco And Diode Correction Factors, Sadaa Alotaibi

Electronic Theses and Dissertations 2020 - Present

This work examines the Elekta Monaco TPS Monte Carlo electron beam dose calculation model for electron treatment planning. The primary goals are to commission electron blocks and establish correction factors for diode measurements with the use of ion chamber output as references, improving dosimetric procedures and adhering to the AAPM for clinically acceptable precision. Output factor measurements of diodes were compared to ion chamber OFs on a 6 MeV to 15 MeV Elekta Versa HD linear accelerator. TPS calculations were held on the Monaco TPS system. To balance the computational costs and accuracy of the solution, grid sizes of 2 …

Personalized Persuasion In The Digital Age: A Data-Driven Approach To Effective Communication, Annye Braca

Doctoral

This thesis investigates the potential of Machine Learning (ML) to personalize persuasive marketing messages. It explores the identification of individuals receptive to specific persuasion techniques based on their psychometric profiles. By developing ML models that incorporate these profiles, the thesis aims to predict the impact of tailored messages and improve the effectiveness of marketing communication.

Highly Sensitive Diffractive Optical Structures For Detection Of Volatile Organic Compounds, Faolan Radford Mcgovern

Doctoral

From aerospace to agriculture, sensors play a fundamental role in many aspects of modern life. Sensors form an integral part of the complex systems and devices required for the continued functioning and development of services and industries across society. The use of sensors is paramount in areas affecting human health, one such area being the monitoring of indoor air quality, in particular the detection of volatile organic compounds (VOCs). Human contact with VOCs has been associated with many health complications, including skin and eye irritation, cardiovascular damage, and cancers. Optical, electrical, gravimetric, and chemical sensors have been developed for VOC …

Surface Modifications Of Titanium Alloys For Biomedical Applications, Justynne Fabian

Doctoral

Hip implant failure remains a critical concern in healthcare, primarily driven by poor bone integration and bacterial infection. These issues contribute to a rising number of revision surgeries, posing significant challenges that must be addressed, particularly in light of an ageing global population. Titanium surface anodisation emerges as a promising solution for biomedical applications, offering a cost-effective, controllable, and efficient process. The anodisation technique results in the formation of titanium dioxide nanotubes (TiO2 NTs) on the metal surface. These nanostructures offer several advantages, including enhanced mechanical properties, and potential for surface modification through the incorporation of antibacterial and osteoinductive properties. …

Machine Learning Applications In Epigenomics And Its Association With Health And Disease, Trevor Doherty

Doctoral

Epigenetic modifications can lead to altered phenotypes without a change in the DNA sequence itself. Disrupted gene expression regulated by epigenetic processes can result in cancers, autoimmune diseases and various other maladies. Machine learning (ML) involves the use of algorithms and models which are trained to learn patterns in data, and has demonstrated remarkable success in solving diverse, complex challenges. Epigenomic studies, such as those that use DNA methylation (DNAm) data, increasingly make use of ML techniques to process extremely high dimensional data obtained from high throughput platforms e.g., DNAm arrays. These datasets suffer from the curse of dimensionality, increased …

An Exploratory Attempt To Incorporate Social Criteria Into Spent Nuclear Fuel Site Screening And Relocation, Julie M. Sorfleet

Cal Poly Humboldt theses and projects

Spent nuclear fuel, also known as nuclear waste, is the byproduct of nuclear power generation. The need for safe and responsible long-term storage and disposal of radioactive fuel presents significant technical and social challenges. These challenges are compounded by several factors, including the emerging nuclear renaissance in the United States, climate and coastal hazards, and the lack of consolidated interim or permanent storage. This research explores perceptions of risk, relocation, and siting spent nuclear fuel, predominantly focusing on Humboldt County, California. I used online surveys, the Analytic Hierarchy Process, and geographic information systems (GIS) analysis to inform how social and …

Snag Failure And Fuel Recovery Following Stand-Replacing Fire In The Klamath Mountains, Joseph R. Nicholas

Cal Poly Humboldt theses and projects

High-severity wildfires can produce extensive patches of standing dead trees (snags), which later contribute to surface fuel loading and present a hazard as they decay and fall. In the Klamath Mountains of northwestern California and southwestern Oregon, recent increases in the occurrence of large stand-replacing wildfires have raised concerns about fuel and vegetation recovery trajectories, the likelihood of future fires, and resulting impacts to local communities. Nevertheless, the post-fire environment may offer opportunities to enhance ecological and community resilience. Estimates of snag failure and fuel loading can support land management planning and risk assessment following wildfire, though such work is …

Groundwater Pumping Impacts On Stream Depletion In Humboldt County, Ca: Integrating Analytical Models And Field Data, Andy Hans Heise

Cal Poly Humboldt theses and projects

This study addresses the significant concern of stream depletion from groundwater pumping in Humboldt County, CA. The objective of this study is to develop an analytical model for estimating stream depletion and integrating field data into model parameters.

The methodology involved conducting a field study near three operating wells by a stream, installing stream gages upstream and downstream of the wells, and recording pumping rates and schedules for two of the wells. The third well’s pumping data was synthetically generated, for privacy concerns of the well owner. The StreamDepletR package was used for estimating depletion rates in a stream in …

Exploring Coastal Spaces Of Tribal Sovereignty And Self-Determination In Ancestral Waters Proposed For Offshore Wind Development, Alyssa Suarez

Cal Poly Humboldt theses and projects

Proposed offshore wind development off California’s North Coast raises novel questions about Tribal sovereignty offshore. This project specifically engages claims, assuming the Yurok Tribe’s framing that offshore wind development poses a coastal hazard. The research followed a co-production framework. The research questions were co-designed with the Yurok Tribe and the research itself governed by a Data Sharing Agreement. The work presents findings from 13 semi-structured interviews with individuals and experts navigating sovereignty in the offshore wind space, including government representatives; lawyers; legal researchers; academics; foundation staff; journalists; and Humboldt Bay community members. Participants identified several key tensions surrounding claims of …

Multi-Grade Classroom Professional Development And Curated Resources, Angie Marshall

Cal Poly Humboldt theses and projects

This project aims to provide educators and administrators with a comprehensive compendium of resources for effectively designing and implementing instruction in multi-grade classrooms. Limited research exists to support teachers who may struggle with the complexities of teaching multiple grade levels within a single classroom setting. Traditionally, educators obtain their teaching credentials, secure employment, and are expected to effectively instruct the students. However, when assigned to a multi-grade classroom, the instructional demands become significantly more intricate and potentially overwhelming.

The objective of this professional development and resource guide is to equip teachers and administrators with a structured resource to enhance the …

Can Dyslexia Diagnosis Induce A Stereotype Threat Effect? A Literature Review And Research Proposal, David H. Harris

Cal Poly Humboldt theses and projects

Dyslexia is a recognized psychiatric diagnosis in the DSM-5, categorized as a specific language disorder. Dyslexia is a hidden disability that affects how individuals process auditory and visual information. Many people have heard of dyslexia but it is largely misunderstood, even by educational professionals, and its general association with learning disability can be the basis for negative stereotyping and discrimination of people with dyslexia. The ‘Stereotype threat effect’ is a term from social psychology research referring to situations where one’s performance on a task is influenced by their identification with a social group that has a well-known stereotype about their …

The Menstrual Cycle, Dual-Hormone Hypothesis, And Competition: Implications For Athletic Performance, Camille Burns

Cal Poly Humboldt theses and projects

Female athletes perceive that the fluctuating hormones of the menstrual cycle affect their performance. However, research on objective performance is inconclusive, partly due to a lack of studies conducted in real-world competitive contexts. Testosterone is often seen to be elevated near ovulation and is related to social competitiveness. Under the dual-hormone hypothesis, testosterone only predicts competitive behavior when cortisol is low. The current study had two goals: (1) to test whether the dual-hormone hypothesis applied to competitive drive and objective athletic performance, and (2) to examine whether competitiveness and the intensity of one’s response to competition varied across the menstrual …

Social Emotional Learning: Through A Culturally Relevant And Spiritual Lens, Albert Roman

Cal Poly Humboldt theses and projects

In today’s diverse educational landscape, the importance of integrating social-emotional learning (SEL) into secondary English language arts classrooms cannot be overstated. This master’s project endeavors to address this need by developing a series of innovative SEL lessons tailored specifically for secondary ELA teachers. Grounded in the principles of culturally relevant and sustaining pedagogy (CRSP) and enriched with insights from spiritual pedagogy (SP), the project aims to cultivate a holistic approach to education that nurtures students’ emotional well-being, cultural identity, and spiritual growth. The project is structured around the five pillars of SEL: self-awareness, self-management, social awareness, relationship skills, and responsible …

Effects Of Teacher Reinforcements On Student Outcomes In Adapted Physical Education: A Meta-Analysis, Yaxeny Moreno

Cal Poly Humboldt theses and projects

The primary goal is to review the influence of reinforcement strategies in Physical Education (PE) and Adapted Physical Education (APE) settings, focusing on students with disabilities with the ages of 3-22. Reinforcement strategies, such as positive reinforcement/feedback, token economies, verbal praise, tangible rewards, and additional strategies are essential for fostering engagement and skill development. Literature has provided evidence and results to highlight the importance of applying evidence-based reinforcement strategies to which support the behavioral, social, and physical development of students in both Physical Education and Adapted P.E. settings. The purpose of this study was to review and analyze existing literature …

Common Raven Habitat Selection Along The Northern California Coast, Alon Averbuj

Cal Poly Humboldt theses and projects

Nest predation by common ravens (Corvus corax) is considered one of the most significant barriers to the recovery of the population of the federally threatened western snowy plovers (Anarhyncus nivosus nivosus) in Northern California. To increase productivity of snowy plovers, conservation managers in Northern California employ three main techniques; placing symbolic fencing to deter pedestrian entrance to snowy plover nesting areas, invasive vegetation cutback, and deposition of oyster shells to increase snowy plover nest crypsis. However, little is known on how these techniques affect habitat selection of ravens in the area. I modeled habitat selection of …

Estimating Mariana Monitor (Varanus Tsukamotoi) Density With Multiple Methods On Islan Dåno’, Guam, And Its Relevance To Guam Rail (Hypotaenidia Owstoni) Conservation, Jack T. Christie

Cal Poly Humboldt theses and projects

The Mariana monitor (Varanus tsukamotoi), or hilitiai, is a medium-sized varanid lizard found throughout the Mariana islands. On Islan Dåno’, a small islet off the southwest coast of Guam, hilitai coexist with one of the rarest birds in the world, the Guam rail (Hypotaenidia oswtoni), or ko’ko’, which were introduced to the island in 2010. Since 2009, hilitai have been lethally removed from the island to reduce possible predation on ko’ko’. After 15 years of removal efforts, I sought to 1) estimate the abundance and density of hiltai, 2) assess the effect of removal effort and …

Wait... Homework Can Be Fun?! A Pilot Homework System Study, Caroline Brock

Cal Poly Humboldt theses and projects

Homework has been a long-debated topic in schools. Regardless of where people stand on the issue, the evidence shows that quality homework can be an effective tool to help students be successful in school. Beyond academics, homework can also be used as a tool to help students develop important foundational study skills that are critical for future success. But how can school districts get all stakeholders behind a homework system if they do not see the value of homework, or if the homework is a point of individual or familial stress. Through an action research project using mixed methods, parents …

Elementary Teachers' Knowledge Towards Teaching Physical Education, Hannah Lee Mandy

Cal Poly Humboldt theses and projects

This study examined elementary teachers’ preparation in physical education (PE) and its impact on teaching effectiveness for students, including students with disabilities. Twenty-seven teachers completed a survey and three participated in a follow-up focus group where participants were asked to expand on previous questions. Findings revealed limited PE coursework, minimal hands-on experience and low familiarity with the California Physical Education Standards in teacher preparation programs. Additionally, only 74 percent of participants completed a PE course during their teacher preparation program and focus group participants emphasized their preparation programs focused on lesson planning rather than hands on teaching, and the programs …

Large Language Models And Identity: A Reflexive Approach, Nicholas Austin Nielsen

Cal Poly Humboldt theses and projects

This project explicates theories of identity, technology, and capitalism and uses an auto ethnographic approach in order to apply that explication at a personal level. The project responds to AI rhetoric in business and pedagogy and the instability surrounding perspectives on job security, the role of technology in Higher Education, and existential representations of the human. By deconstructing identity, ideology, cultural contexts, and technologic rhetorics, the goal is to further the scholarship surrounding Large Language Model applications in pedagogy and offer a personal, therapeutic approach to feelings of economic and existential discontent and fear experienced by students and educators regarding …

Provenance Of Clastic Sedimentation In Middle Deadfall Lake And Paleoclimate Modelling Of Glacier Fluctuations At Mount Eddy, Eastern Klamath Mountains, California, Usa, Emily Stebbins

Cal Poly Humboldt theses and projects

This study reconstructs the timing, extent, and paleoclimate conditions associated with late Pleistocene glaciation in the Mount Eddy region of the eastern Klamath Mountains, northern California and investigates the provenance of clastic sedimentation in Middle Deadfall Lake, just east of Mt Eddy. Using a multi-pronged approach that combines geomorphic mapping, sediment core analysis, X-ray fluorescence (XRF) geochemistry, tephrochronology, and glacier modeling using PalaeoIce 2.0, this research provides new insights into glacial dynamics and climate variability in a region with limited glacially derived paleoclimate datasets, as well as past volcanic eruption deposits.

Field and GIS-based geomorphic mapping identified three generations …

Data Mining And Machine Learning-Based Healthcare Monitoring In Cloud-Iot, Sarah Amer, Rania Hazim, Wassan Kader

Mesopotamian Journal of CyberSecurity

Healthcare monitoring Cloud-IoT systems use data mining and machine learning methods to analyse patient data in real-time from linked devices. By offering insights for the early diagnosis of anomalies and individualized treatment suggestions, this strategy improves healthcare management. In this research first the Collect and Load the Clevant Heart Disease Dataset for Data Collection Process. Next, preprocess the loaded data using the Synthetic Minority Oversampling Technique (SMOTE), and then the feature extraction process is done using the Principal Component Analysis (PCA) Method. In this case, the characteristic must be extracted by feeding a specific column. The classification procedure is then …

Department Of Computer Engineering, University Of Diyala, 32001 Diyala, Iraq., Mustafa Abdulfattah Habeeb, Yahya Layth Khaleel

Mesopotamian Journal of CyberSecurity

Android devices are rapidly being used, which makes it easy for the malware threat to rise to higher levels. This ever-growing problem has prompted the need to enhance detection systems as far as these devices are concerned. Standard techniques of machine learning (ML) are sufficient from the point of view of their speed for searching patterns and behaviors of contemporary malware; however, it is more important to have effectively enhanced methods. The purpose of this paper is to expand the utilization of Android malware identification via artificial neural networks (ANNs) and compare its efficiency with that of other ML methods. …

Exploring The Impact Of Blockchain Revolution On The Healthcare Ecosystem: A Critical Review, Maad M. Mijwil, Mohammad Aljanabi, Mostafa Abotaleb, Ban Salman Shukur, Ban Salman Shukur, Indu Bala, Kamal Kant Hiran, Ruchi Doshi, Klodian Dhoska

Mesopotamian Journal of CyberSecurity

Blockchain technology is a type of distributed ledger that provides secure and efficient storage, management, and transmission of data over a decentralized network. With its ability to ensure transparency and immutability, blockchain is increasingly adopted across various sectors ranging from finance, healthcare, and logistics to education. In healthcare, blockchain technology is attracting attention because of its potential to fundamentally transform health ecosystems. The healthcare sector has significantly benefited from blockchain technology by enhancing data security and interoperability and reducing medical errors. In this context, a set of studies highlighted the importance of blockchain in the field of healthcare, enhancing trust …

Antdroidnet Cybersecurity Model: A Hybrid Integration Of Ant Colony Optimization And Deep Neural Networks For Android Malware Detection, Riyadh Rahef Nuiaa Al Ogaili, Osamah Adil Raheem, Mohamed H Ghaleb Abdkhaleq, Zaid Abdi Alkareem Alyasseri, Zaid Abdi Alkareem Alyasseri, Ali Hakem Alsaeedi, Yousif Raad Muhsen, Selvakumar Manickam

Mesopotamian Journal of CyberSecurity

Malware detection is a vital problem, and efficient methods that can efficiently detect malware are needed. The increasing use of mobile computers makes malware detection a vital part of security in an era where smartphones have come to play a key role in many of our daily lives. Earlier approaches, however, suffer from high false positive rates; they are not scalable for larger databases, or they are not amenable to adapt well to novel zero-day malware. For these reasons, the demand for more sensitive and flexible detection models is high. In this study, we develop a hybrid mobile malware detection …

Enhancing Crime Detection In Video Surveillance Via A Lightweight Blockchain And Homomorphic Encryption-Based Computer Vision System, Tanya Abdulsattar Jaber

Mesopotamian Journal of CyberSecurity

Blockchain technology consists of distributed ledgers or database systems, regarded as immutable, secure, and innovative, characterized by unsupervised internal maintenance with a special security protocol used to prevent inference from malicious or third parties. The widespread use of this technology has led to deep research into the problems posed by this technology, which can be summarized in terms of computational cost and latency time. The crime detection process in video surveillance has made great progress with the use of technologies such as the Internet of Things and blockchain technologies. However, to reach high levels of security in the physical crime …