Digital Commons Network^™

Automated Identification Of Clinically Meaningful Biomechanical Phenotypes In Cerebral Palsy Through Multicenter Gait Data, Adam Graf, Joseph Krzak, Karen M. Kruger, Jon Davids, Ryan Smith, Brandon Steinlein, Anita Bagley

Biomedical Engineering Faculty Research and Publications

Background

Cerebral palsy is the most prevalent motor disability in childhood, encompassing various movement disorders that affect walking. Researchers have described gait patterns in cerebral palsy, but these are often subjective and based on clinician experience. This study introduces an automated approach to objectively identify clinically meaningful biomechanical phenotypes in cerebral palsy and test it on multicenter gait data. Utilizing instrumented gait analysis, this research aims to improve treatment strategies for gait dysfunction. This study addresses whether classification algorithms can objectively identify clinically meaningful gait patterns and if severe gait deviations are more frequent in advanced forms of cerebral palsy. …

Locked Dimerized Cxcl12 Exerts Radiosensitizing Effects In Head And Neck Cancer, Oscar Villarreal Espinosa, Musaddiq Awan, Abdullah A. Memon, Anne Frei, Jamie Foeckler, Rachel Kuehn, Jennifer Bruening, Becky Massey, Stuart J. Wong, Monica Shukla, Julia Kasprzak, Amit Joshi, Michael B. Dwinell, Heather A. Himburg, Joseph Zenga

Biomedical Engineering Faculty Research and Publications

Background

Head and neck squamous cell carcinoma (HNSCC) presents significant treatment challenges, particularly in cases unrelated to human papillomavirus (HPV). The chemokine receptor CXCR4, interacting with its ligand CXCL12, plays a crucial role in tumor proliferation, metastasis, and treatment resistance. This study explores the therapeutic potential of engineered monomeric and dimerized CXCL12 variants (CXCL121 and CXCL122, respectively) in HNSCC and evaluates potential additive effects when combined with radiation therapy.

Methods

Clinical HNSCC biopsies were evaluated for CXCR4 expression in both previously untreated and radiorecurrent disease. HNSCC cell lines were then treated with combinations of CXCL12 variants and radiotherapy and interrogated …

Involvement Of Long Non-Coding Rna (Lncrna) Malat1 In Shear Stress Regulated Adipocyte Differentiation, Justin Caron, Marjan Ghanbariabdolmaleki, Madison Marino, Chong Qiu, Bo Wang, Michael Mak, Shue Wang

Biomedical Engineering Faculty Research and Publications

Adipocyte differentiation plays an important role in bone remodeling due to secretory factors that can directly modulate osteoblast and osteoclast, thus affecting overall bone mass and skeletal integrity. Excessive adipocyte differentiation within the bone marrow microenvironment can lead to decreased bone mass, eventually causing osteoporosis. The mechanical microenvironment of bone marrow, including fluid shear, maintains the balance of adipocyte and osteoblast differentiation during bone remodeling. However, how mechanical cues interact with long noncoding RNA (lncRNA) and regulate adipocyte differentiation remains unexplored. In this study, we investigated the mechanosensitive role of lncRNA MALAT1 during mesenchymal stem cells (MSCs) adipocyte differentiation. By …

Influence Of Boundary Conditions And Blood Rheology On Indices Of Wall Shear Stress From Ivus-Based Patient-Specific Stented Coronary Artery Simulations, R. Patrick Mccarthy, Peter J. Mason, David S. Marks, John F. Ladisa Jr.

Biomedical Engineering Faculty Research and Publications

The long-term clinical efficacy of coronary stents is limited by restenosis. Coronary stenting results in altered arterial geometry, local blood flow patterns, and wall shear stress (WSS), all of which can influence restenosis. Computational fluid dynamics (CFD) simulations employ assumptions about blood properties and boundary conditions, which also influence WSS alterations from stenting. Our objective was to evaluate three common assumptions applied with stented coronary artery CFD simulations (inlet velocity profile, outlet boundary conditions, and viscosity) to provide insight for future studies. A patient-specific right coronary artery was reconstructed from intravascular ultrasound and computed tomography imaging. Time-averaged WSS (TAWSS) and …

The Histological And Mechanical Behavior Of Skin During Puncture For Different Impactor Sizes And Loading Rates, Joseph Lesueur, Jared Michael Koser, William Dzwierzynski, Brian D. Stemper, Carolyn E. Hampton, Michael Kleinberger, Frank A. Pintar

Biomedical Engineering Faculty Research and Publications

Purpose

The hierarchical structure of skin dictates its protective function against mechanical loading, which has been extensively studied through numerous experiments. Viscoelasticity and anisotropy have been defined for skin in tensile loading, but most puncture studies utilized skin simulants, which lacked natural tension and varying skin thicknesses. The purpose of this study was to define the mechanical behavior and failure thresholds of skin during puncture with various blunt impactor sizes and loading rates.

Methods

After determining natural tension of porcine skin, 232 isolated skin samples were loaded in puncture. Pre-conditioning, sub-failure, and failure trials were conducted with an electrohydraulic piston …

Combining Historical And Citizen Science Jellyfish Records To Inform Marine Biodiversity Management, John Terenzini, Abigail Mcquatters-Gollop, Laura J. Falkenberg

School of Biological and Marine Sciences

Effective management of ecosystems requires knowledge of biodiversity and how it is changing. There are, however, some species and regions for which such data are missing. Combining historical records with those added using non-traditional monitoring methods such as citizen science can fill this gap. Jellyfish are one group for which such an approach is advantageous as jellyfish are difficult to observe, with records particularly lacking for understudied regions outside of Europe and North America. Using Hong Kong as an example, we combine historical jellyfish observation records obtained using traditional methods (published from 1910 to current day) with recent records facilitated …

The Impact Of Dwell Time On The Contextual Effect Of Visual And Passive Lead-In Movements, Laura Alvarez-Hidalgo, David W. Franklin, Ian S. Howard

School of Engineering, Computing and Mathematics

Contextual cues arising from distinct movements are crucial in shaping control strategies for human movement. Here, we examine the impact of visual and passive lead-in movement cues on unimanual motor learning, focusing on the influence of “dwell time,” where two-part movements are separated by the interval between the end of the first movement and the start of the second. We used a robotic manipulandum to implement a point-to-point interference task with switching opposing viscous curl fields in male and female human participants. Consistent with prior research, in both visual and passive lead-in conditions, participants showed significant adaptation to opposing dynamics …

Simulation And Feasibility Assessment Of A Green Hydrogen Supply Chain: A Case Study In Oman, Mi Tian, Shuya Zhong, Muayad Ahmed Mohsin Al Ghassani, Lars Johanning, Voicu Ion Sucala

School of Engineering, Computing and Mathematics

The transition to sustainable energy is crucial for mitigating climate change impacts. This study addresses this imperative by simulating a green hydrogen supply chain tailored for residential cooking in Oman. The supply chain encompasses solar energy production, underground storage, pipeline transportation, and residential application, aiming to curtail greenhouse gas emissions and reduce the levelized cost of hydrogen (LCOH). The simulation results suggest leveraging a robust 7 GW solar plant. Oman achieves an impressive annual production of 9.78 TWh of green hydrogen, equivalent to 147,808 tonnes of H₂, perfectly aligning with the ambitious goals of Oman Vision 2040. The …

Translational Genomics Of Osteoarthritis In 1,962,069 Individuals, Cindy G Boer, Merry-Lynn Mcdonald, J Patrick Pett, Young-Chan Park, Margo Tuerlings, Rick Mulders, Andrei Barysenka, Ana Luiza Arruda, Vinicius Tragante, Alison Rocco, Norbert Bittner, Shibo Chen, Susanne Horn, Vinodh Srinivasasainagendra, Ken To, Georgia Katsoula, Peter Kreitmaier, Amabel M M Tenghe, Arthur Gilly, Liubov Arbeeva, Lane G Chen, Agathe M De Pins, Daniel Dochtermann, Cecilie Henkel, Jonas Höijer, Shuji Ito, Penelope A Lind, Bitota Lukusa-Sawalena, Aye Ko Ko Minn, Marina Mola-Caminal, Akira Narita, Chelsea Nguyen, Ene Reimann, Micah D Silberstein, Anne-Heidi Skogholt, Hemant K Tiwari, Michelle S Yau, Ming Yue, Wei Zhao, Jin J Zhou, George Alexiadis, Karina Banasik, Søren Brunak, Archie Campbell, Jackson T S Cheung, Joseph Dowsett, Tariq Faquih, Jessica D Faul, Lijiang Fei, Anne Marie Fenstad, Takamitsu Funayama, Maiken E Gabrielsen, Chinatsu Gocho, Kirill Gromov, Thomas Hansen, Georgi Hudjashov, Thorvaldur Ingvarsson, Jessica S Johnson, Helgi Jonsson, Saori Kakehi, Juha Karjalainen, Elisa Kasbohm, Susanna Lemmelä, Kuang Lin, Xiaoxi Liu, Marieke Loef, Massimo Mangino, Daniel Mccartney, Iona Y Millwood, Joshua Richman, Mary B Roberts, Kathleen A Ryan, Dino Samartzis, Manu Shivakumar, Søren T Skou, Sachiyo Sugimoto, Ken Suzuki, Hiroshi Takuwa, Maris Teder-Laving, Laurent Thomas, Kohei Tomizuka, Constance Turman, Stefan Weiss, Tian T Wu, Eleni Zengini, Yanfei Zhang, Arcogen Consortium, Argo Consortium, Dbds Genomic Consortium, Estonian Biobank Research Team, Finngen, Genes & Health Research Team, Hunt All-In Pain, Million Veteran Program, Regeneron Genetics Center, Manuel Allen Revez Ferreira, George Babis, Aris Baras, Tyler Barker, David J Carey, Kathryn S E Cheah, Zhengming Chen, Jason Pui-Yin Cheung, Mark Daly, Renée De Mutsert, Charles B Eaton, Christian Erikstrup, Ove Nord Furnes, Yvonne M Golightly, Daniel F Gudbjartsson, Nils P Hailer, Caroline Hayward, Marc C Hochberg, Georg Homuth, Laura M Huckins, Kristian Hveem, Shiro Ikegawa, Muneaki Ishijima, Minoru Isomura, Marcus Jones, Jae H Kang, Sharon L R Kardia, Margreet Kloppenburg, Peter Kraft, Nobuyuki Kumahashi, Suguru Kuwata, Ming Ta Michael Lee, Phil H Lee, Robin Lerner, Liming Li, Steve A Lietman, Luca Lotta, Michelle K Lupton, Reedik Mägi, Nicholas G Martin, Timothy E Mcalindon, Sarah E Medland, Karl Michaëlsson, Braxton D Mitchell, Dennis O Mook-Kanamori, Andrew P Morris, Toru Nabika, Fuji Nagami, Amanda E Nelson, Sisse Rye Ostrowski, Aarno Palotie, Ole Birger Pedersen, Frits R Rosendaal, Mika Sakurai-Yageta, Carsten Oliver Schmidt, Pak Chung Sham, Jasvinder A Singh, Diane T Smelser, Jennifer A Smith, You-Qiang Song, Erik Sørensen, Gen Tamiya, Yoshifumi Tamura, Chikashi Terao, Gudmar Thorleifsson, Anders Troelsen, Aspasia Tsezou, Yuji Uchio, A G Uitterlinden, Henrik Ullum, Ana M Valdes, David A Van Heel, Robin G Walters, David R Weir, J Mark Wilkinson, Bendik S Winsvold, Masayuki Yamamoto, John-Anker Zwart, Kari Stefansson, Ingrid Meulenbelt, Sarah A Teichmann, Joyce B J Van Meurs, Unnur Styrkarsdottir, Eleftheria Zeggini

Faculty, Staff and Students Publications

Osteoarthritis is the third most rapidly growing health condition associated with disability, after dementia and diabetes1. By 2050, the total number of patients with osteoarthritis is estimated to reach 1 billion worldwide2. As no disease-modifying treatments exist for osteoarthritis, a better understanding of disease aetiopathology is urgently needed. Here we perform a genome-wide association study meta-analyses across up to 489,975 cases and 1,472,094 controls, establishing 962 independent associations, 513 of which have not been previously reported. Using single-cell multiomics data, we identify signal enrichment in embryonic skeletal development pathways. We integrate orthogonal lines of evidence, including …

Recommendations For Design, Execution, And Reporting Of Studies On Experimental Thoracic Aortopathy In Preclinical Models, Ketan B Ghaghada, Jay D Humphrey, Scott A Lemaire, Yanming Li, Ziad Mallat, Yvan Saeys, Hisashi Sawada, Ying H Shen, Toru Suzuki, Zhen Zhou

Faculty, Staff and Students Publications

There is a recent dramatic increase in research on thoracic aortic diseases that includes aneurysms, dissections, and rupture. Experimental studies predominantly use mice in which aortopathy is induced by chemical interventions, genetic manipulations, or both. Many parameters should be deliberated in experimental design in concert with multiple considerations when providing dimensional data and characterization of aortic tissues. The purpose of this review is to provide recommendations on guidance in (1) the selection of a mouse model and experimental conditions for the study, (2) parameters for standardizing detection and measurements of aortic diseases, (3) meaningful interpretation of characteristics of diseased aortic …

Optimized Filtrations For Stormwater Quality Improvement By Porous Media–Biochar Applications: Column Experiments And Inverse Modeling, Sumiaya Amin Preota, Chu-Lin Cheng, Myung Hwangbo, Jongsun Kim

School of Earth, Environmental, & Marine Sciences Faculty Publications

Stormwater reuse plays a critical role under changing climates and increasing water demands. This study investigates the removal efficacy of lead (Pb2+) and ammonia (NH3) using sand and rice husk (RH) biochar for potential stormwater quality improvements and treatments. Column experiments combined with HYDRUS inverse modeling were conducted to optimize adsorption isotherms from breakthrough curves. Among linear and non-linear models, the Langmuir and Freundlich models performed better for sand and biochar, respectively. RH biochar showed much higher adsorption capacity of both Pb2+ (4.813 mg/g) and NH3 (6.188 mg/g). In contrast, sand showed a relatively limited adsorption capacity for Pb2+ (0.118 …

Graphics Processing Unit-Enabled Path Planning Based On Global Evolutionary Dynamic Programming And Local Genetic Algorithm Optimization, Junlin Ou, Ge Song, Yi Wang

Faculty Publications

This paper presents a novel path planning method for real-time robotic path planning in a dynamic environment involving moving obstacles. It combines on a holistic platform a global approach to rapidly generate initial paths of prominent diversity and a heuristic approach to enable local path refinement for enhanced computational efficiency, exploration, and robustness. The global approach innovates a formulation that treats a path planning problem with a visibility graph as a Markov decision process and decomposes the process into many subproblems. A new evolutionary dynamic programming approach (EDP) is proposed to solve these subproblems in an iterative manner using …

Advanced Day-Ahead Scheduling Of Hvac Demand Response Control Using Novel Strategy Of Q-Learning, Model Predictive Control, And Input Convex Neural Networks, Rahman Heidarykiany, Cristinel Ababei

Electrical and Computer Engineering Faculty Research and Publications

In this paper, we present a Q-Learning optimization algorithm for smart home HVAC systems. The proposed algorithm combines new convex deep neural network models with model predictive control (MPC) techniques. More specifically, new input convex long short-term memory (ICLSTM) models are employed to predict dynamic states in an MPC optimal control technique integrated within a Q-Learning reinforcement learning (RL) algorithm to further improve the learned temporal behaviors of nonlinear HVAC systems. As a novel RL approach, the proposed algorithm generates day-ahead HVAC demand response (DR) signals in smart homes that optimally reduce and/or shift peak energy usage, reduce electricity costs, …

Assessing Chatgpt's Capability As A New Age Standardized Patient: Qualitative Study, Joseph Cross, Tarron Kayalackakom, Raymond E. Robinson, Andrea Vaughans, Roopa Sebastian, Ricardo Hood, Courtney Lewis, Sumanth Devaraju, Prasanna Honnavar, Nikhilesh Anand

School of Medicine Publications

Background: Standardized patients (SPs) have been crucial in medical education, offering realistic patient interactions to students. Despite their benefits, SP training is resource-intensive and access can be limited. Advances in artificial intelligence (AI), particularly with large language models such as ChatGPT, present new opportunities for virtual SPs, potentially addressing these limitations.

Objectives: This study aims to assess medical students' perceptions and experiences of using ChatGPT as an SP and to evaluate ChatGPT's effectiveness in performing as a virtual SP in a medical school setting.

Methods: This qualitative study, approved by the American University of Antigua Institutional Review Board, involved 9 …

Exploring Variations In High-Resolution Downstream Hydraulic Geometry Of The Logan River, Gabriel V. Benitez

All Graduate Theses and Dissertations, Fall 2023 to Present

Rivers are dynamic systems that change shape due to natural events like floods, landslides, and wildfires, as well as human-made structures like bridges. These changes create unique and complex river patterns. However, measuring these changes accurately is challenging because traditional field surveys are time-consuming and often focus on easily accessible areas, which may not represent the whole river. Thanks to new high-resolution mapping technology and detailed river flow records, we can now see these changes in greater detail than ever before.

In this study, we focused on the Logan River, which flows through a canyon with a mix of rocky …

Describing Functionality In Natural Language May Improve Decomposition Behaviors, Matthew R. Burns

All Graduate Theses and Dissertations, Fall 2023 to Present

Problem decomposition—the ability to break complex problems into simpler parts—is a critical skill for computer programming that many beginning students struggle to develop. This research examines how using natural language to describe program functionality can help students develop better problem-solving approaches.

We created a tool called ”Natural Language Functions” (NLFs) that allows students to write descriptions of what they want their code to do in plain English, which then generates working Python functions. We studied how students used this tool compared to students who solved programming problems in traditional ways.

Our findings show that students who used the NLFs tool …

Quantifying Buoyancy-Driven Exchange Flows Over Obstacle At The Great Salt Lake Using Rans Cfd, Mohammad Ikram Hossain Talukdar

All Graduate Theses and Dissertations, Fall 2023 to Present

This study examines how barriers, such as berms, affect the movement of water in the Great Salt Lake in Utah. The lake experiences two types of water flow: one, called a unidirectional gravity current, where denser water flows in a single direction, and another, known as buoyancy-driven exchange flow, where water flows in two opposite directions due to differences in both water density and surface elevation. These flows are important for understanding how water mixes and moves between the northern and southern parts of the lake. Using computer models, we simulated how these two types of water flows behave when …

Surface Vortex Mitigation At Submerged Intakes, Camren Todd

All Graduate Theses and Dissertations, Fall 2023 to Present

Surface vortices at submerged intakes entrain air, convey debris, and reduce efficiency. This research investigates the effect of lid geometry on mitigation of surface vortices at submerged intakes in the context of still reservoirs. Six lid geometries were evaluated: three solid lids of increasing diameter, two lids with perforations, and one lid fitted with a downward curtain. Vortex severity was measured by Alden’s vortex type rating scale, surface-dimple diameter, and qualitative video analysis.

The perforated lid extension and the curtain configurations were most effective at mitigating vortices. The curtain configuration negated all surface swirling by redirecting a portion of the …

The Outcomes Of School-Based Mental Health Services At A Southern California School District A Proposed Pilot Study, Amanda Smith, Ashley Rodriguez

Electronic Theses, Projects, and Dissertations

In this proposed project we intend to explore and identify empirical evidence-based research on outcomes of school-based mental health provided by a Southern California school district. This study will highlight evidence-based research on the growing concern for school-based mental health. A relevant extraction tool that can be utilized for further research, and a study design to explore existing literature regarding programs and student participation to gauge outcomes.

School-based mental health supports mental well-being and promotes positive protective factors. These include social and cultural connections, resilience, coping strategies, problem-solving abilities, positive development, and a supportive school environment where students feel safe. …

Follow Through Since The Implementation Of Katie A V. Bonta, Alleena Parchment

Electronic Theses, Projects, and Dissertations

This research proposal aims to explore how well Los Angeles County has followed through with the guidelines that Katie A. v Bonta has set. This paper will suggest ways to effectively carry out the research through a systematic literature review. Foster children are more likely to be diagnosed with mental health illnesses such as depression, anxiety, or PTSD. Katie, a young 4-year-old girl, went through 37 placements and received no mental health services. As a result, a class action lawsuit came about with Los Angeles County. Based on the lawsuit, policies were made to provide mental health services to foster …

The Impact Of Maternal Problematic Drinking On Daughter's Mental Health: A Systematic Review, Indianna Bouch, Alexzandria Haro

Electronic Theses, Projects, and Dissertations

Background: Parental alcohol use is a widespread issue and is known to have negative impacts on children's mental health. However, research on parent-child dyads concerning parental problematic alcohol use and child mental health outcomes has much less research. Objective: This systematic review aims to examine recent literature on the impact of mothers’ problematic drinking on daughter(s) mental health. Methods: The following databases were used: EBSCOhost Academic Search Premier, PsycINFO, and Google Scholar. The keywords included “mother”, “AUD”, “maternal AUD”, “impact on daughters”, “female COA”, “female ACOA”, “mothers with an AUD”, “problematic drinking”, “maternal alcoholic”, “impact on relationships”, …

The Role Of Medical-Legal Partnerships On Social Determinants Of Health For Vulnerable Populations In The Inland Empire, Sabrina C. Kinnally

Electronic Theses, Projects, and Dissertations

San Bernardino and Riverside counties face significant challenges in addressing the Social Determinants of Health (SDOH) for vulnerable populations, including housing instability, healthcare access, and food insecurity. This project examined the role of Medical-Legal Partnerships (MLPs) in providing services to vulnerable populations. Through a systematic review, the study explored the current state of MLPs and their effectiveness in addressing SDOH to reduce health disparities. The other purpose is to assist Agape Legal Service, Inc. (AGAPE), a non-profit organization, in completing their strategic plan, which aims to address the legal needs of vulnerable populations within the Inland Empire. The systematic review …

Ml Playground: Data Modification/Preprocessing And Model Simulation Tool, Marco D. Cerrato

Electronic Theses, Projects, and Dissertations

There is a heavy reliance on programming when it comes to learning machine learning (ML). This often creates barriers for students and newcomers unfamiliar with coding. While the lessons you learn in the classroom provide essential foundational understanding, some technical or practical aspects of ML—such as data preprocessing, feature engineering, and model tuning—are best learned through hands-on interaction. ML Playground was developed to act as a proof-of-concept application to address this gap by offering a browser-based, graphical user interface that lets users engage with core ML workflows without writing code. Designed with educational accessibility in mind, the application allows users …

Ntier Code Generator, Mohammed Qattan

Electronic Theses, Projects, and Dissertations

This project presents a software tool designed to automate the generation of standardized code for all layers of an n-tier architecture, including the Database Layer, Data Access Layer (DAL), and Business Logic Layer (BLL). By employing object-oriented principles and parsing the database structure, the tool ensures modularity, scalability, and maintainability. It efficiently formats code templates for CRUD operations, enhancing development efficiency and consistency, while streamlining database interactions and enforcing business rules.

This project presents an innovative software tool designed to automate the generation of standardized code for all layers of an n-tier architecture, including the Database Layer, Data Access Layer …

Cart To Doorstep, Giridhar Yadav Nazarapur

Electronic Theses, Projects, and Dissertations

Due to hectic schedules and long working hours, many people find it challenging to allocate time for traditional shopping in today's fast-paced world. This often leads to a preference for online shopping, as it provides convenience and flexibility. However, despite its benefits, online shopping still lacks a seamless experience where customers can easily access a wide range of products, manage their shopping preferences, and make hassle-free payments—all from the comfort of their homes. To address this, the "Cart to Doorstep" project was developed. This web application aims to create an efficient and user-friendly online shopping platform that streamlines the shopping …

Effects Of Project Rebound On Reducing Recidivism, Lisa A. Ravega, Ashley Van Mouwerik

Electronic Theses, Projects, and Dissertations

Background: Recidivism is the tendency of justice-involved individuals to relapse into criminal behavior and remains a critical challenge within the justice system. Objective: This proposed research aims to assess the effectiveness of campus-based programs to assist individuals with enrollment and success in higher education, specifically Project Rebound. Project Rebound is a campus-based re-entry program that assists justice-involved college students in obtaining their educational goals through such support as enrollment and counseling services. Methods: The proposed research suggests utilizing a quasi-experimental non-equivalent comparison group design to examine the impact of Project Rebound on reducing recidivism among justice-involved college students at California …

Urban-Rural Dynamics And Dui Fatalities In The Inland Empire: A Neural Network Analysis Of Traffic Safety Disparities, Armando Ceja-Lua

Electronic Theses, Projects, and Dissertations

This study examines the disproportionately high traffic fatality rates in California's Inland Empire region through neural network analysis of over 500,000 accidents (2013-2022). We argue that the Inland Empire's unique hybrid urban-rural landscape creates a multiplicative risk environment unlike other California regions. Our analysis reveals that San Bernardino County's fatality rate (1.920 per 100 million VMT) significantly exceeds neighboring regions, with alcohol-impaired driving fatalities (0.586) substantially higher than California's average (0.390). Neural network models (92% validation accuracy) identify pedestrian-involved collisions (correlation value 0.164) and alcohol involvement (0.075) as the strongest predictors of fatality in urban areas, while rural crash patterns …

Evaluating Trauma-Informed Care In Higher Education For Hispanics, Latino/A/X/E, And Afro-Latinos Impacted By Adverse Childhood Experiences, Daylene A. Medina, Lilian Grijalva

Electronic Theses, Projects, and Dissertations

Background: Henshaw (2022) discusses the importance of trauma-informed approaches in higher education institutes by implementing culturally responsive policy, research, and practice to support students impacted by trauma. However, less is known about how effective trauma-informed care is and its impact on the educational outcomes of racial and ethnic minority students, specifically Hispanics, Latino/a/x/e, and Afro-Latinos students in community colleges. Past studies have excluded Hispanics, Latino/a/x/e, and Afro-Latinos from research due to insignificant participation and risk re-traumatization. Objective: This evaluative study aims to determine effectiveness of trauma-informed care for adult (18 and older) Moreno Valley College students in their last academic …

Engineering An In Vitro Hipsc-Derived Cardiac Tissue Construct For Regenerative Medicine Applications, Larry Mendoza

Electronic Theses, Projects, and Dissertations

Cardiovascular disease is the leading cause of mortality across the world with invasive surgeries and pharmaceutical intervention commonly associated with urgent care. Moreover, congenital, progressive, and hereditary heart diseases rely on many forms of medical prevention and intervention (pharmaceuticals, x-rays, bloodwork, etc.). Developing a three-dimensional (3D) cardiac tissue engineered in vitro model to study human cardiac physiology can revolutionize biomedical research. The purpose of this research is to optimize natural & synthetic biomaterials to fuse cardiac stem cells and synthesize a 3D-printed in vitro model for disease modeling, drug delivery, and regenerative medicine. Natural biopolymers needed for such innovations are …

Exploring The Factors That Influence Telehealth Usage Among Immigrants In The United States: A Mixed Methods Study, Jose M. Garcia-Castañeda

Electronic Theses, Projects, and Dissertations

Background: Immigrants in the United States continue to face barriers in accessing healthcare services which are rooted in systemic inequities, cultural disconnects, and language-related challenges. The growing presence of telehealth services has offered new opportunities to expand access, but it has also highlighted new barriers which are language proficiency and digital literacy which could increase the gap in services for already marginalized populations. These barriers are factors that influence outcomes such as delayed care, reduced preventative care, and overall poorer health outcomes. The Andersen Behavioral Model of Health Service Use (Andersen, 1995) provides a useful framework in understanding how predisposing, …