Digital Commons Network^™

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 …

Acceptance And Commitment Training For Reducing Aggressive Behaviors For Children Diagnosed With Externalizing Disorders, Isabelle C. Rodriguez

Cal Poly Humboldt theses and projects

Acceptance and Commitment Training (ACT) is a contemporary mindfulness intervention traditionally practiced in psychotherapy but recently has been adopted by practitioners in Applied Behavior Analysis (ABA) due to its functional foundation and theoretical grounding in Relational Frame Theory (RFT). ACT interventions are tailored to develop and continually exercise an individual's psychological flexibility while, in turn, decrease levels of experiential avoidance (EA). Literature surrounding ACT and its applications in ABA showcase data supporting its effectiveness for treating a diverse range of behaviors. Elevated levels of EA have been linked to a variety of maladaptive behaviors, one being aggression. Aggression is a …

Elementary Teachers' Attitudes And Perceptions Of Physical Education, Jennifer Lemon

Cal Poly Humboldt theses and projects

The purpose of this research study is to evaluate the attitudes of elementary grade teachers towards teaching physical education, the barriers they face providing instructing, and the support they receive within their hiring district to teach PE to students, including those with disabilities. Purposive sampling was used to recruit current elementary grade level teachers who are responsible for teaching PE within their normal school day. Teachers were included in the survey if they were current elementary teachers that taught PE. A survey developed using Qualtrics was designed to focus on the attitudes of elementary teachers towards teaching PE. Results from …

The Mediating Effect Of Injury On The Relationship Between Running Mileage And Depressive Symptoms In Division 2 Cross Country Athletes, Jaxon Leduc

Cal Poly Humboldt theses and projects

Training for a cross-country season requires athletes to accumulate a high volume of training miles at different intensities. Over a period of months and years, consistent high training volumes have been shown to contribute to overuse injuries in cross country athletes. Injuries have been shown to negatively impact athlete’s mental health; this is especially true in student athletes. The purpose of this research is to explore the mediating effect of injuries on the relationship between training volume and mental health in collegiate cross-country runners. Participants in this study were 40 members of NCAA Division 2 Cross Country teams with eligibility …

Cultivation Of Winged Kelp (Alaria Marginata) In Humboldt Bay, Evan C. Simpson

Cal Poly Humboldt theses and projects

The cultivation potential of the winged kelp (Alaria marginata) was evaluated in Humboldt Bay, California, to further develop sustainable aquaculture in the region. Seasonality, depth, and system design were evaluated in regard to harvest biomass and quality. Results suggested that single-longline configurations at shallow depths (< 2 m) produced greater total biomass than a multi-longline system, suggesting enhanced water flow and reduced self-shading improved growth. Kelp grew best with a winter outplanting period (December-April), most likely due to environmental conditions (e.g., temperature, nutrients, and salinity) being within the kelp’s tolerable range, with as much as 2.24 kg/meter of kelp being harvested. These findings demonstrate that while the estuarine system has more variable conditions than predicted, A. marginata can be successfully cultivated in Humboldt Bay and highlight its potential as a viable crop for northern California’s emerging seaweed industry. Future work targeting the optimization of single-longline design and deployment timing may further improve yield and support regional goals for sustainable aquaculture and food security.

A Porpoise-Driven Approach: Using Agent-Based Models To Predict Population Consequences Of Offshore Wind Noises On Gulf Of Maine Harbor Porpoises, Ben Greenberg Pridonoff

Cal Poly Humboldt theses and projects

Marine mammals are increasingly exposed to anthropogenic noises, including from offshore wind activities, necessitating the development and refinement of tools to predict the effects of noise on their populations. Agent-based models (ABMs) are an effective tool that can simulate realistic movements and behaviors of animals to quantify population consequences of disturbance. In this study, I used the Europe-based ABM ‘DEPONS’ to (1) evaluate its effectiveness in a new environment, the Gulf of Maine, USA/Bay of Fundy, Canada, and (2) develop estimates of the population dynamics of local harbor porpoises (Phocoena phocoena) interacting with expected noises from proposed floating …

Kelp Guardians Can Save The World: A Food Sovereignty Lab Report Of The Ghvtlh-K’Vsh Shu'-Srnelh-'I~ (Kelp Guardians) California Sea Grant, Delaney A. Schroeder-Echavarria

Cal Poly Humboldt theses and projects

As partners of the Ghvtlh-k’vsh Shu'-srnelh-'i~ (Kelp Guardians) California Sea Grant project, the Rou Dalagurr Food Sovereignty Lab and Traditional Ecological Knowledges Institute has actively engaged with local educators, Tribal organizations, and Tribal Nations to create youth-centered curricula, researched through a community-based participatory research lens. This is demonstrated through an innovative approach to recruiting and retaining Indigenous youth and community interest in coastal and marine ecosystems and resources by connecting with Indigenous cultural practices, Indigenous sciences, and community-based programs to encourage future careers. The Kelp Guardians project is led by the Tolowa Dee-ni’ Nation (TDN or Nation) and includes various …

Student Housing Insecurity And Its Impacts On Academic Enthusiasm: A Multi-Method Analysis Of Cal Poly Humboldt, Aaron Gabriel Perez

Cal Poly Humboldt theses and projects

Cal Poly Humboldt has faced major challenges in the realm of housing due to a long history of shortages and difficulties in prioritizing the distribution of housing amongst the student population. Recent issues such as the mold infestations in Fall 2024 bring this into focus as the campus is also trying to expand its available housing through constructing new housing facilities. This in conjunction with the campus’ desire to continually increase its student population base year by year brings into question the fundamental goals of the campus and whether or not students feel the campus is helping or hurting them. …

A Comparative Analysis Of Perineuronal Nets In Trout And Zebrafish Models, Adnan Alyan

Cal Poly Humboldt theses and projects

Perineuronal nets (PNNs) are specialized extracellular matrix structures that surround certain types of neurons in the central nervous system. Research from the past few decades has cemented PNNs as an integral player in the closure and onset of critical periods, memory modulation, and neural plasticity. These effects are thought to occur when PNNs form around a neuron and structurally stabilize its synaptic connections. PNNs have been directly linked to behavioral changes, making them of interest to psychologists as well as neuroscientists. Several PNN components, such as Hapln1 and aggrecan such as have been found in zebrafish, a teleost fish (Kang …

Material Suppliers’ Perspective On Collaboration In Industrial Construction Projects, Seogjae Choi, William J. O'Brien

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Material suppliers' involvement in construction project planning has been recommended as an effective measure to improve project performance by using their expertise. However, the recommendation is not universal, and some researchers disputed the value of early involvement of suppliers depending on material type. Moreover, prior studies considered main contractors' and owners' perspectives mostly in examining how to increase the involvement of suppliers. To add material suppliers' perspective, this study conducted interviews with experienced professionals from 16 material suppliers including standardized, make-to-order, and custom products. The results are specified by separating the type of materials and sub-phases of planning. The results …

Every Publication Needs An Author Verified Tl;Dr Statement, Sarah Oerther, Daniel B. Oerther

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

No abstract provided.

Enhanced Continual Reinforcement Learning-Based Output Feedback Control Of Heterogeneous Quadrotors Formation, Ehsan Soleimani, S. Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a unified framework for the safe and optimal control of heterogeneous quadrotor unmanned aerial vehicles (QUAVs) in formation, enabling multitask missions without requiring precise system dynamics. To address partial state observability, a multilayer neural network (MNN) observer is designed to estimate unmeasured states. Reinforcement learning (RL) is employed for optimal control utilizing an MNN ensuring adaptability. Barrier Lyapunov Functions (BLFs) are integrated into the RL framework to enforce safety by maintaining QUAVs within predefined constraints. An enhanced continual learning (ECL) method is proposed to improve the adaptability of MNNs. This method enables effective multitask learning while mitigating …

Still Making It Up As He Goes: Revisiting The Hyper-Rhetorical Presidency In Trump’S Second Term, Richard Holtzman

Politics, Law, and Society Faculty Journal Articles

In Fast Capitalism’s 2020 issue, “This is Not Normal,” I explored Trump’s propensity for improvised rhetoric during his first term; that is, his reliance on “making it up as he goes” in his public statements, whether communicated verbally or through social media. The primary goal of my original essay was not simply to identify the president’s ad-hoc communication style—which is clear for all to see—but to argue that the president’s tendency toward improvisational speech matters because it represents more than just his approach to communication. This tendency toward improvisation also constitutes much of his approach to governing.

In “Making It …

Avatars And Digital Identity: Branding In The Metaverse, Gema Bonales-Daimiel, Belén Moreno-Albarracín

Faculty Research, Scholarly, and Creative Activity

Considering avatars as virtual identities in digital universes, and according to the scarcity of previous research on the impact generated by them, this study delves into avatars’ emergence as personal brands within metaverses, assessing the mediation of AI in the design process and evaluating the impact of avatars on user experience and advertising. After carrying out a mixed methodology based on a survey to users, interviews to active companies in metaverses and avatars design specialists; and a content analysis of metaverse platforms, it’s been proved that avatars are revolutionizing digital communications, allowing immersive interactions and the implementation of virtual experiences …

Association Between Risk Factors And Major Cancers: Explainable Machine Learning Approach, Xiayuan Huang, Shushun Ren, Xinyue Mao, Sirui Chen, Elle Chen, Yuqi He, Yun Jiang

Faculty Research, Scholarly, and Creative Activity

Background: Cancer is a life-threatening disease and a leading cause of death worldwide, with an estimated 611,000 deaths and over 2 million new cases in the United States in 2024. The rising incidence of major cancers, including among younger individuals, highlights the need for early screening and monitoring of risk factors to manage and decrease cancer risk. Objective: This study aimed to leverage explainable machine learning models to identify and analyze the key risk factors associated with breast, colorectal, lung, and prostate cancers. By uncovering significant associations between risk factors and these major cancer types, we sought to enhance the …

Tap, Swipe, And Connect: Exploring Perceptions Of Inclusivity Through Smartphone Design And Accessibility, Carmen Van Ommen

Doctoral Dissertations and Master's Theses

There has been an increasing importance placed on customization of products and desire for the product to allow the consumer to express themselves or fit into desired social groups with their product choices. Designing products to be inclusive can encompass these desires, as well as ensure that a wide range of user groups can use the products well. In general, there is little research in the field of perceptions of inclusivity with consumer technology products. Previous research has validated a scale to measure Perceptions of Technology Product Inclusivity (PTPI) with different user groups and technology product groups, however no research …

Mini-Maps, Crucial Or Controversial: Assessing The Influence Of Perceived Spatial Orientation And Cognitive Mapping Performance On Video Game User Experience, Angela Le

Doctoral Dissertations and Master's Theses

Decades of game studies, also known as video games research, have revealed frequent video gameplay is positively correlated with enhanced cognition. An area of study that is limited, however, is the relationship between spatial cognition, specifically the domains of spatial orientation and cognitive mapping and their effects on video game user experience for games employing visual navigational aids. Video game user experience is influenced by many factors such as graphics and audio, gameplay mechanics, user interface design, etc. The present study aims to explore whether spatial abilities influence and are significantly correlated with user experience for games using heads-up displays …

The Effect Of Need For Cognition & Need For Affect On Human Reliance And Artificial Intelligence Interactions, Aliyah Mcgowan

Doctoral Dissertations and Master's Theses

Abstract

With the increased use of Artificial Intelligence (AI) automations in fields like medical diagnoses and mental health queries, there are concerns regarding an individual’s trust and reliance on the technology. Reliance on AI output may lead an individual to accept inaccurate or incorrect information without further analysis. Trust may influence reliance and trust formation may be a product of affective processing. This study investigated the relationship between Need for Affect (NFA), Need for Cognition (NFC), and trust and reliance on AI interactions. Participants were assessed on the NFA scale for willingness to approach or avoid emotional stimuli, the NFC …

Exodus. Teacher's Edition: Adult Sabbath School Bible Study Guide, Jiri Moskala

All Books

No abstract provided.

Mxene-Based Materials For Enhanced Water Quality: Advances In Remediation Strategies, Ali Mohammad Amani, Milad Abbasi, Atena Najdian, Farzaneh Mohamadpour, Seyed Reza Kasaee, Hesam Kamyab, Shreeshivadasan Chelliapan, Mostafa Shafiee, Lobat Tayebi, Ahmad Vaez, Atefeh Najafian, Ehsan Vafa, Sareh Mosleh-Shirazi

Electrical & Computer Engineering Faculty Publications

Two-dimensional MXenes are promising candidates for water treatment because of their large surface area (e.g., exceeding 1000 m²/g for certain structures), high electrical conductivity (e.g., >1000 S/m), hydrophilicity, and chemical stability. Their strong sorption selectivity and effective reduction capacity, exemplified by heavy metal adsorption efficiencies exceeding 95 % in several studies, coupled with facile surface modification, make them suitable for removing diverse contaminants. Applications include the removal of heavy metals (e.g., achieving >90 % removal of Pb(II)), dye removal (e.g., demonstrating >80 % removal of methylene blue), and radioactive waste elimination. Furthermore, 3D MXene architecture exhibit enhanced performance in antibacterial …

A Customized Large Single-Piece Bifrontal Implant For Post-Craniectomy Defect Reconstruction: A Case Study, Omid Ghaderzadeh, Ehsan Amirbeyk, Seyed Roholah Ghodsi, Zahra Namazi, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background: Large bifrontal defects pose unique reconstruction challenges due to their complex curvature and mechanical requirements. This case demonstrated how computer-aided design/manufacturing (CAD/CAM) enabled precise single-piece polymethyl methacrylate (PMMA) implant fabrication, thereby overcoming traditional limitations. Case presentation: A 25-year-old male who had undergone bifrontal decompressive craniectomy suffered a severe traumatic brain injury. The autologous bone flap had been temporarily stored in a subcutaneous fat area of the abdomen for 3 months to preserve its viability. A secondary cranioplasty was then performed using titanium miniplates and self-tapping screws for final fixation. After 2 years, the patient developed empyema and a brain …

Energy-Aware Sensor Fusion Architecture For Autonomous Channel Robot Navigation In Constrained Environments, Mohamed Shili, Hicham Chaoui, Khaled Nouri

Electrical & Computer Engineering Faculty Publications

Navigating autonomous robots in confined channels is inherently challenging due to limited space, dynamic obstacles, and energy constraints. Existing sensor fusion strategies often consume excessive power because all sensors remain active regardless of environmental conditions. This paper presents an energy-aware adaptive sensor fusion framework for channel robots that deploys RGB cameras, laser range finders, and IMU sensors according to environmental complexity. Sensor data are fused using an adaptive Extended Kalman Filter (EKF), which selectively integrates multi-sensor information to maintain high navigation accuracy while minimizing energy consumption. An energy management module dynamically adjusts sensor activation and computational load, enabling significant reductions …

Social Work Professional Portfolio, Anthony Hoffer

Graduate Student Portfolios, Professional Papers, and Capstone Projects

No abstract provided.

Grounded Practice: Leadership And Integrity In Complex Systems, Tonja Smith

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This portfolio presents the integration of advanced social work competencies developed through the Master of Social Work program at the University of Montana. Grounded in evidence-informed practice, the work demonstrates applied skills in assessment, intervention, group facilitation, policy practice, and interagency collaboration across rural and multidisciplinary settings. Artifacts highlight structured approaches to Batterer Intervention Groups, Domestic Violence Inventories, Family Group Conferencing, and Supported Education, with an emphasis on accountability, safety, and culturally responsive engagement.

The narrative analyzes how positionality, reflective practice, and cultural humility shape professional judgment, particularly when navigating structural inequities and conflicting system demands. The portfolio illustrates the …

Diving Into Watershed Science And Education: Blending Science, Storytelling, And Professional Practice In Northern Michigan, Mara Clare Pellerito

Graduate Student Portfolios, Professional Papers, and Capstone Projects

This portfolio expands understanding of the relationship between watershed education and science through storytelling, lived experiences, and research. In northern Michigan, the invasive Myriophyllum spicatum threatens watershed health by forming dense patches that block sunlight, exclude native plants and wildlife, and retain harmful nutrients later released by herbicide treatment. The Lake Leelanau Lake Association has managed this species with preventative and restorative practices since 2020, and this portfolio examines their results through scientific study and practical experience from the summers of 2024 and 25. It also explores how education serves as a stepping stone from childhood curiosity to a lifetime …

Shsp Dean's Newsletter, Winter 2025, Robert W. Amler

SHSP Dean’s Newsletter

No abstract provided.

Fast Demodulation Of Ofdr-Based Distributed Sensing Based On Enhanced Buneman Frequency Estimation, Zhaopeng Zhang, Bo Liu, Xiao Liu, Caiyun Li, Osamah Alsalman, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

Aiming at realizing high-efficiency distributed strain sensing through optical frequency domain reflectometry (OFDR), this paper introduces a fast demodulation algorithm to determine strain-induced spectral shifts from coarse Rayleigh backscattering (RBS) cross-correlation spectra. The proposed approach employs an enhanced Buneman frequency estimation (BFE) algorithm, enabling direct spectral shift analysis across coarse signals. By applying this algorithm, the need for dense interpolation in the conventional cross-correlation demodulation process - typically required for a finer spectral sampling interval but at the cost of demodulation efficiency - can be eliminated. Both theoretical analysis and experimental investigation reveal the equivalence of the BFE and conventional …

Enhancing Risk And Crisis Communication With Computational Methods: A Systematic Literature Review, Madison H. Munro, Ross J. Gore, Christopher J. Lynch, Yvette D. Hastings, Ann Marie Reinhold

VMASC Publications

Recent developments in risk and crisis communication (RCC) research combine social science theory and data science tools to construct effective risk messages efficiently. However, current systematic literature reviews (SLRs) on RCC primarily focus on computationally assessing message efficacy as opposed to message efficiency. We conduct an SLR to highlight any current computational methods that improve message construction efficacy and efficiency. We found that most RCC research focuses on using theoretical frameworks and computational methods to analyze or classify message elements that improve efficacy. For improving message efficiency, computational and manual methods are only used in message classification. Specifying the computational …

From Cyclones To Cybersecurity: A Call For Convergence In Risk And Crisis Communications Research, Ann Marie Reinhold, Ross J. Gore, Barry Ezell, Clemente I. Izurieta, Elizabeth A. Shanahan

VMASC Publications

Effective risk and crisis communication can improve health and safety and reduce harmful effects of hazards and disasters. A robust body of literature investigates mechanisms for improving risk and crisis communication. While effective risk and crisis communication strategies are equally desired across different hazard types (e.g., natural hazards, cyber security), the extent to which risk and crisis communication experts utilize the “lessons learned” from scientific domains outside their own is suspect. Therefore, we hypothesized that risk and crisis communication research is siloed according to academic disciplines at the detriment to the advancement of the field of risk communications research writ …

Quantum-Augmented Ai/Ml For O-Ran: Hierarchical Threat Detection For Synergistic Intelligence And Interpretability, Tan Le, Vanessa Le, Sachin Shetty

VMASC Publications

Open Radio Access Networks (O-RAN) enhance modularity and telemetry granularity but also widen the cybersecurity attack surface across disaggregated control, user and management planes. We propose a hierarchical defense framework with three coordinated layers—anomaly detection, intrusion confirmation, and multiattack classification—each aligned with O-RAN’s telemetry stack. Our approach integrates hybrid quantum computing and machine learning, leveraging amplitude- and entanglement-based feature encodings with deep and ensemble classifiers. We conduct extensive benchmarking across synthetic and real-world telemetry, evaluating encoding depth, architectural variants, and diagnostic fidelity. The framework consistently achieves near-perfect accuracy, high recall, and strong class separability. Multi-faceted evaluation across decision boundaries, probabilistic …