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Developing Community-Engaged Learning In Chemistry To Address Food Insecurity And Nutrition With University Farms And Gardens, Douglas B. Collins, Mark Spiro

Faculty Contributions to Books

Adding context to educational environments has shown benefits in a variety of cases, but it can be difficult to generate relatable and relevant real-world materials with which students can engage meaningfully. Community engaged learning (CEL) is a high impact educational practice that delivers place-based context to course content through a partnership with community organizations. It has been demonstrated in the literature that CEL leads to improved academic outcomes for students, and there has been increasing interest in having CEL appear throughout the curriculum (across levels and disciplines). Introducing community engagement can be challenging for courses that traditionally have significant amounts …

Stereochemical Engineering Yields A Multifunctional Peptide Macrocycle Inhibitor Of Akt2 By Fine-Tuning Macrocycle-Cell Membrane Interactions, Arundhati Nag, Amirhossein Mafi, Samir Das, Mary Beth Yu, Belen Alvarez-Villalonga, Soo-Kyung Kim, Yapeng Su, William A. Goddard, James R. Heath

Chemistry

Macrocycle peptides are promising constructs for imaging and inhibiting extracellular, and cell membrane proteins, but their use for targeting intracellular proteins is typically limited by poor cell penetration. We report the development of a cell-penetrant high-affinity peptide ligand targeted to the phosphorylated Ser474 epitope of the (active) Akt2 kinase. This peptide can function as an allosteric inhibitor, an immunoprecipitation reagent, and a live cell immunohistochemical staining reagent. Two cell penetrant stereoisomers were prepared and shown to exhibit similar target binding affinities and hydrophobic character but 2-3-fold different rates of cell penetration. Experimental and computational studies resolved that the ligands’ difference …

Exploring Traffic Speed Patterns For The Implementation Of Variable Speed Limit (Vsl) Signs, Panick Kalambay, Srinivas Pulugurtha

Mineta Transportation Institute

Traffic congestion is a prevalent issue during peak travel hours on roads in the United States. This study focuses on identifying suitable road links in Charlotte, North Carolina, for implementing variable speed limit (VSL) signs. Real-world traffic speed data collected over one year was analyzed to identify specific road links with favorable characteristics for VSL sign installations. The analysis considered weekdays, weekends, and specific times of the day to capture variations in speed patterns. The results revealed that roads with lower speed limits consistently experienced speeds exceeding the posted speed limits, suggesting additional enforcement or safety measures. For roads with …

Autonomous Shuttle Implementation And Best Practices, Dil Samina Diba, Ninad Gore, Srinivas S. Pulugurtha

Mineta Transportation Institute

When, where, and how autonomous shuttles are deployed can have significant safety, economic, and policy impacts on their operation and performance. This research analyzes data related to 120 existing deployments of autonomous shuttles, looking at safety, operational, economic, and policy-related issues. Analysis shows that autonomous shuttles would be an excellent supplement to public transportation. However, improvements to the vehicle and the infrastructure are needed before any permanent deployment. The study also analyzes the perceptions of practitioners, industry experts, and transportation system users toward autonomous shuttles. Principal Component Analysis (PCA) and Multiple Input Multiple Cause Structural Equation Modelling (SEM) approaches were …

Evaluating Benefits From Transportation Investments Aligned With The Climate Action Plan For Transportation Infrastructure (Capti), Serena Alexander, Shams Tanvir, T. William Lester

Mineta Transportation Institute

Building upon two executive orders targeting the mitigation of greenhouse gas (GHG) emissions in California, the Climate Action Plan for Transportation Infrastructure (CAPTI) offers a comprehensive plan to work toward a more unified vision for transportation that prioritizes climate, health, and social equity. The purpose of this project was to help evaluate the benefits from transportation investments across the State of California. With support from Caltrans, the research team provided a holistic evaluation framework that involved an analysis of vehicle miles traveled (VMT) and emissions impacts, an economic impact analysis, and an equity analysis of transportation investments in California. Findings …

Social Media Impacts On Arkansas Consumer Perceptions Of Gmos, Elizabeth R. Berner

Graduate Theses and Dissertations

This study builds upon previous consumer perceptions of GMOs studies. A need existed to determine what, if any, effects social media messages about GMOs had on consumer perceptions in Arkansas. The study utilized a qualitative approach with three focus groups. Data were analyzed using descriptive code. Participants were found to have a general understanding of GMOs, though discussion about what a GMO product was took an uncertain tone. Most participants did not consider GMOs as a factor when purchasing products. Rather participants considered characteristics such as price, quality, and convenience. Participants did not believe the infographics had changed their opinions …

Early Carbonate Diagenesis Of The Miocene Dam Formation In Southwestern Qatar, Mohammed Al-Musawi

Dissertations

The timing and mechanisms of platform-scale dolomitization have been the subject of a long and contentious scientific debate known as the “dolomite problem.” The current study provides new insights through an investigation of the Miocene mixed carbonate-siliciclastics-evaporites Dam Fm in southwestern Qatar. Petrographical, mineralogical, and geochemical data are integrated from two research cores, the Dam-01 and Dam-02. The Dam Fm provides an ideal site to investigate dolomitization because these rocks are: (i) relatively young, (ii) have not been deeply buried, (iii) exhibit no evidence of diagenetic resetting, and (iv) characterized by alternating meter-scale depositional cycles that help constrain the relative …

Occupational Therapy's Role In Postpartum Care: Creating A Postpartum Screening Tool, Julianna Bourland

Occupational Therapy Doctoral Capstones

This capstone aimed to identify “Occupational Therapy’s Role in Postpartum Care.” The literature revealed that due to an abrupt transition into the role of a mother, engaging in occupations, the musculoskeletal system and maternal mental health are factors impacted. OT’s role in postpartum care identified in the research includes support in routines, roles, breastfeeding, education on ergonomics, adaptive equipment, home modifications, and interventions to relieve and prevent pain while increasing strength and stability. However, due to a gap in limited screening tools for this population, many women do not receive treatment for impacted factors. This capstone project utilized program development …

Creating An Effective Treatment Program Incorporating Hippotherapy At Equine Therapy Centers, Aubrey Elder

Occupational Therapy Doctoral Capstones

This capstone experience aimed to identify current therapy programs and recognize the best practices implemented to create a well-rounded OT/PT program for a therapeutic equestrian center while gaining expertise in utilizing hippotherapy as a treatment intervention within the scope of occupational therapy. This was accomplished by partnering with therapy professionals who utilized hippotherapy as a treatment intervention to create and implement an interdisciplinary program. Hippotherapy can be integrated into occupational therapy practice as an intervention to address an individual's occupational needs. This 14-week capstone experience occurred in Dallas, TX, at Equest Therapeutic Horsemanship and included advanced clinical practice skills and …

Investigation Of Public Trust In Science In Connection With Views About Tentative Nature Of Science And Epistemological Beliefs, Asghar Pervaiz Gill

Dissertations

Trust in science is contested in everyday discourse and decision-making. Science education research and instruction must delve into and contribute to enhancing public trust in science. In this context, nature of science (NOS), and epistemological beliefs (EBs) emerge as closely related research areas highlighting the tentative NOS and uncertain aspects of knowledge, which can potentially influence trust in science. In a series of three interrelated studies, this research explores the public trust in science in relation to NOS views and EBs.

The first study emphasizes the role of science education in building trust among undergraduate chemistry students. It assesses the …

University Of Nebraska At Omaha Commencement: December 2023, University Of Nebraska At Omaha

Commencement Programs

No abstract provided.

Simulation Modelling Of Silicon Gated Field Emitter Based Electronic Circuits, Robert Hay, Ranajoy Bhattacharya, Winston Chern, Girish Rughoobur, Akintunde I. Akinwande, Jim Browning

Electrical and Computer Engineering Faculty Publications and Presentations

Vacuum transistors (VTs) are promising candidates in electronics due to their fast response and ability to function in harsh environments. In this study, several oscillator and logic gate circuit simulations using VTs are demonstrated. Silicon-gated field emitter arrays (Si-GFEAs) with 1000 × 1000 arrays were used experimentally to create a VT model. First, transfer and output characteristics sweeps were measured, and based on those data, an LTspice vacuum transistor (VT) model was developed. Then, the model was used to develop Wein and Ring oscillator circuits. The circuits were analytically simulated using LTspice, where the collector bias voltage was 200 V …

Investigating The Microbiome Of The Eye And The Potential Of Probiotic Use In Optometry, Rachel Hartgerink

Theses/Capstones/Creative Projects

While the eye was once considered free of resident bacteria due to its efficient immunity mechanisms, recent studies have determined that most healthy eyes contain a variety of microbiota. Many studies have been aimed at classifying bacteria that are part of the core microbiome of the eye and the conditions under which they differ. As with gut health, a dysbiosis of ocular bacteria could correlate to disease, which presents the idea of treatment with probiotics to help regulate the microbiota of the eye. This study utilized growth assays to determine a common probiotic’s effect on bacteria that can be found …

One Step Forward Or Two Steps Back For The Music Industry: Analyzing The Statutory And Practical Issues In Title I Of The Music Modernization Act, Gabriel Ross

UC Law SF Communications and Entertainment Journal

No abstract provided.

The Underrepresentation Of Black Females In Cybersecurity, Makendra Latrice Crosby

Cybersecurity Undergraduate Research Showcase

The significance of cybersecurity methods, strategies, and programs in protecting computers and electronic devices is crucial throughout the technological infrastructure. Despite the considerable growth in the cybersecurity field and its expansive workforce, there exists a notable underrepresentation, specifically among Black/African American females. This study examines the barriers hindering the inclusion of Black women in the cybersecurity workforce such as socioeconomic factors, limited educational access, biases, and workplace culture. The urgency of addressing these challenges calls for solutions such as education programs, mentorship initiatives, creating inclusive workplace environments, and promoting advocacy and increased awareness within the cybersecurity field. Additionally, this paper …

Rising Threat - Deepfakes And National Security In The Age Of Digital Deception, Dougo Kone-Sow

Cybersecurity Undergraduate Research Showcase

This paper delves into the intricate landscape of deepfakes, exploring their genesis, capabilities, and far-reaching implications. The rise of deepfake technology presents an unprecedented threat to American national security, propagating disinformation and manipulation across various media formats. Notably, deepfakes have evolved from a historical backdrop of disinformation campaigns, merging with the advancements of artificial intelligence (AI) and machine learning to craft convincing but false multimedia content.

Examining the capabilities of deepfakes reveals their potential for misuse, evidenced by instances targeting individuals, companies, and even influencing political events like the 2020 U.S. elections. The paper highlights the direct threats posed by …

Integrating Ai Into Uavs, Huong Quach

Cybersecurity Undergraduate Research Showcase

This research project explores the application of Deep Learning (DL) techniques, specifically Convolutional Neural Networks (CNNs), to develop a smoke detection algorithm for deployment on mobile platforms, such as drones and self-driving vehicles. The project focuses on enhancing the decision-making capabilities of these platforms in emergency response situations. The methodology involves three phases: algorithm development, algorithm implementation, and testing and optimization. The developed CNN model, based on ResNet50 architecture, is trained on a dataset of fire, smoke, and neutral images obtained from the web. The algorithm is implemented on the Jetson Nano platform to provide responsive support for first responders. …

Alternative Structural Analysis Of Reinforced Concrete System In Building Design, Le Huang

2023 Fall Honors Capstone Projects - Archive

Structural system is the essence of a building on which all other systems are built and integrated together, including architectural, mechanical, and electrical systems. The selection of the structural system requires a comprehensive understanding of the building’s load-carrying capacity and its flow, constructability, cost, and time required. Reinforced concrete is one of the two most prevalent constructions utilized in the United States, along with steel buildings. The advantage of using concrete instead of steel includes its better load-carrying capacity, fire resistance, and insulation properties, but disadvantages are also present. It is crucial to perform structural analysis on both systems in …

Thermal Response Of Chiplets With The Heterogeneous Integration Of Materials, Ashley Haghighi

2023 Fall Honors Capstone Projects - Archive

We need more from our computers; faster speeds, more power, artificial intelligence, and 5G capability, but we want it cheaply. The use of chiplets allows for more customizations based on needs, more efficient power consumption, and integration into different Internet of Things (IoT) applications while simultaneously reducing electronic waste during the manufacturing process. The integration of chiplets into the chip manufacturing industry could meet the demand for high-performance computing while keeping the computer system’s data safe with encryption and authentication capabilities [11]. By running thermal response simulations of chiplets on heterogeneous substrates and in different integrated circuit formations, it can …

Can Music And Artificial Intelligence Influence Customer Behavior In-Store?, Isra Qureshi

2023 Spring Honors Capstone Projects - Archive

Businesses use music to influence consumer engagement and product perceptions. For instance, a retail store in China in 2021 utilized artificial intelligence to manipulate in- store music based on customer facial expressions. This paper reviews the literature on music in retail and discusses how business analytics, such as artificial intelligence, can increase customer satisfaction. The paper focuses on how in-store music and artificial intelligence affect customer behavior. Papers addressing the use of music in retail spaces or artificial intelligence in retail were included. Using Web of Science, I collected 52 papers on in-store music and customer behavior, and 79 papers …

Full Issue, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

About The Mcnair Scholars Program, The Mcnair Team

McNair Scholars Research Journal

No abstract provided.

Applications Of The Guided-Mode Resonance Sensor In Multiparametric, Transmissive, And Picomolar Regimes, Joseph Anthony Buchanan-Vega

Electrical Engineering Dissertations - Archive

Guided-mode resonance (GMR) sensors are developed and implemented for multiparametric label-free sensing, transmission sensing, enhanced reflection sensing, and low analyte concentration sensing; these are the topics presented in this work. The complete biosensor – capable of label-free multiparametric data collection – is designed, fabricated, and implemented. Multiparametric data collection has previously been relegated to one variable on the sensor surface and one bulk media variable. We use a lookup table and the novel application of an inversion algorithm to simultaneously determine two variables on the sensor surface and one bulk media variable. Multiparametric data sets are required to monitor multiple …

Enhancing Indoors Robotic Traversability Estimation With Sensor Fusion, Christos Sevastopoulos

Computer Science and Engineering Dissertations - Archive

Generally speaking, traversability estimation illustrates the ability to navigate or move through a particular environment (indoors or outdoors). Indoor environments are governed by uncertainty and stochasticity arising from their complex structures encapsulating both static elements like furniture and walls, as well as entities such as moving humans. In our research, we underline the importance of blending semantic and spatial information for ensuring secure navigation for a mobile robot. We show that RGB sensors suffer from constrained situational awareness of the surroundings, thus highlighting the need to incorporate spatial and geometric data, which can collaborate synergistically to enhance overall perception and …

An Intelligent Multi-Modal Framework Towards Assessing Human Cognition, Ashish Jaiswal

Computer Science and Engineering Dissertations - Archive

Cognition is the mental process of acquiring knowledge and understanding through thought, experience, and senses. Fatigue is a loss in cognitive or physical performance due to physiological factors such as insufficient sleep, long work hours, stress, and physical exertion. It adversely affects the human body and can slow reaction times, reduce attention, and limit short-term memory. Hence, there is a need to monitor a person's state to avoid extreme fatigue conditions that can result in physiological complications. However, tools to understand and assess fatigue are minimal. This thesis primarily focuses on building an experimental setup that induces cognitive fatigue (CF) …

Why Are We Creatives? Understanding The Psychology Of Creativity Between Children And Adults With References To Leonardo Da Vinci And Michelangelo Buonarroti, Jordyn R. Garca

2023 Fall Honors Capstone Projects - Archive

This paper examines the differences in creativity between children and adults, including certain components that can influence creativity, or in certain instances, can also diminish it. With the support of biographers, clinical psychologists, and scholars, this paper also includes information regarding the lives of two of the world’s most well-known artists, and in certain instances the challenges they faced regarding childhood and mental health. Growing up, it is often encouraged that children should develop their creativity and learn to make their own decisions without fear of failure. However, it is not commonly accepted in society for an individual to want …

Investigation Of Rate Pressure Product As A Metric To Quantify Cardiac Workload In Sleep Apnea Events, Carlos Cruz

Bioengineering Theses - Archive

An investigation on the use of rate pressure product (RPP) to measure the cardiac workload in sleep apnea patients is presented. RPP is the product of systolic blood pressure (SBP) and heart rate (HR). The application of RPP to quantify cardiac workload is combined with the detection of respiratory events occurring in close proximity (less than 30 seconds apart). These two combined factors provide a unique framework for analyzing sleep apnea events and are the primary novelty of the study. Close proximity events are referred to as respiratory event chains (RECs). Statistical analyses were conducted on various RPP metrics as …

The Effects Of Poloxamer 188 On Wound Closure In A Mouse Brain Endothelium Model, Mia Claire Grubbs

Bioengineering Theses - Archive

The blood-brain barrier (BBB) plays a crucial role in maintaining central nervous system homeostasis and, if structurally and functionally compromised, can lead to severe neurological consequences. This thesis explores the therapeutic potential of Poloxamer 188 (P188) in the context of BBB wound healing. P188, FDA-approved copolymer that is known for its cytoprotective properties, is examined for its impact on endothelial monolayers through in vitro scratch wound assays. The study aims to establish a consistent endothelial monolayer model, quantify wound healing dynamics, and assess the efficacy of P188 at varying concentrations. The thesis goals include detailed methodologies such as cell culture …

Generalized Ratio-Product Cum Regression Variance Estimator In Two-Phase Sampling, Isah Muhammad

CBN Journal of Applied Statistics (JAS)

This study develops a flexible and efficient generalized ratio-product cum regression type estimator of population variance utilizing auxiliary variable in two-phase sampling that incorporates the properties of ratio-type and product-type estimators. The properties of the estimator were derived using first order approximation. The theoretical conditions under which the precision and the flexibility of the estimator is better than some classical estimators are also provided. Empirical evidence from five real datasets suggests that the proposed estimator outperforms the classical variance, ratio variance, product, and exponential ratio type estimators in terms of precision and efficiency. The estimator can be utilized to provide …

Development Of S.T.E.A.M. Daises In Formal And Informal Environments For Educating Primary I Learners, Frances Neville

Masters Theses

The federal government has made education a competition among ourselves. Learning is not a rivalry to be imposed on our physical and cognitive development as humans. Escalating beliefs recognize education is more encompassing than CCSS, assessments and the grade level time frames in which standards are to be taught. On the precipice of anti-intellect, low expectations, and what has been termed “The Dumbing of America” an investigation into what it would take to close the achievement gap and increase student learning is overdue.

The goal for my Michigan based project, S.T.E.A.M. Daises, was to develop a program focusing on the …