Fine Arts

Authors: Jacob Adams, Larry Catalasan. Mentors: Tianyi He. Insitution: Utah State University. Soft robotics is a field of robotics involving the controlled movement and manipulation of soft materials to fulfill tasks that standard robots cannot. In this project, we aim to create a soft robotic arm capable of movement by using a machine-learning algorithm to generate its subsequent moves. To fulfill this goal, the robotic arm is contained in a metal frame that has cameras monitoring its position. The camera feed is then processed through a machine-learning algorithm into instructions that can be used to pull various strings attached to the arm which will allow the arm to move. Currently, our team has finished building the frame/arm as well as software that can use cameras to map the position of the arm. The next steps in this project are to research and implement a machine-learning algorithm and write a program that can appropriately adjust stepper motors to pull the strings.

Authors: Melissa Wiggins, Aaron Bigelow, Porter Ellis. Mentors: Ronald Sims. Insitution: Utah State University. Ensuring that the hydrophilic coating of Merit Medical’s Prelude IDeal trans-radial catheter is necessary for its biocompatibility and patient safety. The current method for testing the coating involves a test using Congo Red Dye. The Congo Red Dye does work, but the dye is toxic and all tested catheters must be discarded after testing. The Conge Red Dye test results in wasted catheters. A new method for testing the coating uses fluorescent particles. First, fluorescent particles are added to the hydrophilic coating. These fluorescent particles can be easily visualized on the catheter using UV light. Thus, the uncoated portions of the catheter can be visualized as well. The coated catheters are placed into a black box that ensures only the catheter is being seen. A line scan camera is used to take pictures of every side of the catheter as the catheter spins. Photos of the scanned catheter are then linked together, showing the entire circumference in one picture. The catheter is ultimately tested by analyzing the full picture to find any uncoated regions. By using software to analyze the full picture, the size of uncoated regions is determined with greater accuracy. This new method allows for tested catheters to be used after testing and does not involve any toxic chemicals.

Authors: Chase Mortensen, Juhyeong Lee. Mentors: Juhyeong Lee. Insitution: Utah State University. Foldcore sandwich composites (FSCs) are constructed using multi-layered sheets folded in a desired pattern and placed between two thin face sheets. The choice of material geometric folding pattern provides a large design space to optimize the structural performance of FSCs. These composites are typically made of carbon fiber reinforced polymer (CFRP) composites, offering lightweight and high-energy-absorbing properties. This work aims to characterize the size effects of unit-cell foldcores by analyzing the influence of subscale foldcore models subjected to periodic boundary conditions under quasi-static compression. Three Miura-based unit-cell foldcore models were considered: (1) 1×1, (2) 1×2 (two 1×1 unit-cell foldcores connected in parallel), and (3) 2×1 (two 1×1 unit-cell foldcores connected perpendicularly). Through finite element modeling, three key findings were derived: 1) the finite element model closely replicated experimental results; 2) the application of periodic boundary conditions had an insignificant impact on subscale foldcore models. Third, inconsiderable variations in stress and damage were observed primarily along the foldcore creases when unit-cells were placed in parallel.

Authors: Samuel Stearman, Benjamin Crapo, Antonio Trujillo. Mentors: Jeff Hill. Insitution: Brigham Young University. Our goal at BYU SMASH IT lab is to improve patient’s mobility in rehabilitative settings. For this purpose, we’re modeling the human arm to aid in our design of wearable rehabilitative sleeves. We are investigating methods for manipulating elbow flexion and extension using an assistive elbow brace, such as through cable-driven movement and the less used concept of tensegrity. The appeal of these methods is their flexibility, lightweight, and multiple degrees of freedom in movement. In the prototyping stage we’ve created a test stand resembling a human arm that we use to evaluate how our elbow brace would interact with the wearer and measure the forces between the arm and the brace. Measurements from these tests will aid in our design of a future elbow brace. Knowledge gained from this work has the potential to apply to other joints, each with their own rehabilitative and other uses.

Authors: James Walker. Mentors: Pania Newell. Insitution: University of Utah. During the COVID-19 pandemic, the discussion of using fibrous porous materials in the context of face masks has gained significant relevance. These materials consist of networks of fibers that are intertwined through weaving, knitting, or bonding, creating a structure with interconnected pores that facilitate the transport of gasses and liquids. When a face mask is used, it is under tensile stresses that can greatly affect its longevity and behavior, and simulating the behavior of the fibers within the mask under this loading is essential in enhancing its robustness. Numerical analysis involving fibrous porous materials is challenging due to their inherent randomness and anisotropy, however. The models we use need to accurately represent the entire mask, which we achieve using a small cubic cell known as a representative volume element (RVE). In this study, we systematically investigate the role of fiber diameter, fiber cross sectional shape, and RVE size on the mechanical properties of various RVEs using a computational framework built on the finite element method. The RVEs themselves are idealistic, but useful networks of polypropylene fibers that are orthogonally intersected within cubic boundaries. Our results show that once an appropriate RVE size was determined with constant porosity between systems, the stiffness of the samples increases as the cross-sectional shape progresses from a triangle to a square, to a pentagon, etc., largely due to the increases in intersection volume between fibers. We also found that increasing the diameter serves to increase material stiffness. This project not only offers insights into designing more robust face masks but also provides novel tools that can be used for designing other fibrous porous materials.

Authors: Jessica Crook, Brooke Parker, Michael C Rotter. Mentors: Michael C Rotter. Insitution: Utah Valley University. Fremont cottonwoods are a foundation species throughout the Wasatch front. Cottonwoods face a competitive threat from the invasive tamarisk, which grows very easily in the same habitats. Tamarisk can have a negative impact on cottonwoods, displacing them. The loss of cottonwoods could have negative impacts on ecosystems. This study will examine phytochemical compounds in cottonwoods, and how they are affected by growing in competition with tamarisk. We hypothesize that cottonwoods growing in competition with non-native tamarisk will be stressed and produce higher levels of phytochemical compounds. To test our hypothesis, cottonwoods were grown in pots from cuttings either in competition with a tamarisk cutting, or alone. We then tested total phenolics using a ferric chloride solution, and tannin content using a radial diffusion method. It’s predicted that due to the stress of competition, cottonwoods that grew with tamarisk will have higher overall phenolics and tannins than cottonwoods that were grown on their own. The results of this trial could be important in influencing beaver foraging patterns. Since beavers prefer trees with elevated levels of phenolics and other phytochemicals, this could imply an important mechanism allowing tamarisk to invade an area by stressing cottonwoods and encouraging beaver foraging on these plants.

Authors: Sophia Hessami. Mentors: Elizabeth Vargis. Insitution: Utah State University. Age-related macular degeneration (AMD) is the leading cause of blindness in developed countries. During later stages of AMD, immature blood vessels penetrate Bruch’s membrane and release fluid into the subretinal space. This process is referred to as choroidal neovascularization (CNV). Current in vitro models of retinal tissue are limited, so we propose a three-layered microfluidic model of the subretinal tissue, consisting of retinal pigment epithelium (RPE), Bruch’s membrane (BrM), and choroid. We have produced models of BrM using hagfish proteins that are more mimetic to the nonporous, proteinaceous BrM that is seen in vivo. Then, we fabricated a three-layered microfluidic device using the BrM models and polydimethylsiloxane (PDMS). Once the devices were assembled, porcine primary RPE were isolated, cultured, and characterized in the upper channel of the microfluidic device. Going forward, HUVECs will be cultured and characterized in the lower channel of the device. Then, primary RPE and HUVECs will be co-cultured and characterized within the device. The result will be a multilayered microfluidic device containing primary porcine RPE, hagfish protein BrM models, and human umbilical vein endothelial cell (HUVEC) choroid. It is expected that RPE protein secretions will diffuse through the BrM models and initiate interconnected vascular network formation in the endothelial cells. In the future, we will induce chemical hypoxia to turn this model into a diseased model of the subretina. We hypothesize that this in vitro model of the subretinal tissue will lead to a better understanding of the mechanisms of CNV initiation and progression in AMD.

Authors: Alisa Dabb, David Britt, Elizabeth Vargis. Mentors: David Britt. Insitution: Utah State University. Cytomegalovirus (CMV) is the leading infectious cause of birth defects in the United States. CMV is typically treated with ganciclovir, an antiviral medicine that inhibits the virus. However, ganciclovir also inhibits the growth of neutrophils, a type of immune cell, which leaves the patient vulnerable to other viruses and diseases. To combat the toxic effects of ganciclovir, a subtherapeutic dose of ganciclovir can be used with the combinatorial treatment of quercetin and poloxamer 188 (P188) while maintaining the same level of antiviral activity. Quercetin is a hydrophobic natural flavonoid with antiviral properties that is found in many fruits and vegetables. P188 acts as the delivery vehicle for quercetin and is an FDA-approved polymer that targets the mitochondria in a cell. This study examines two delivery vehicles—P188 and Dimethyl Sulfoxide (DMSO) to optimize the combinatorial treatment of quercetin and ganciclovir.DMSO is a solvent for both polar and nonpolar compounds. DMSO is beneficial for cell growth at low concentrations. Additionally, DMSO successfully delivers hydrophobic quercetin to infected cells, although it does not target quercetin delivery like P188. Targeting the mitochondria, like P188, could be valuable because one mechanism of CMV infection occurs when the virus attacks the mitochondria in an infected cell. This study aims to understand if mitochondrial targeted delivery of quercetin better protects cells against CMV infection compared to non-targeted quercetin delivery.

Authors: Porter Bischoff, Kody Garrett, Clayton Rawson. Mentors: Britt Wyatt, Josh Premo. Insitution: Utah Valley University. This research delves into the underexplored territory of medical experiences and their potential impact on undergraduate students' motivation in STEM courses. While prior studies have focused on factors like gender and ethnicity in STEM, little attention has been given to the influence of medical experiences and chronic conditions on STEM students, despite evidence suggesting that students with medical conditions face unique challenges in completing their degrees.Our study specifically investigates the effects of medical experiences and chronic conditions on students enrolled in science classes at an open enrollment institution. We hypothesize that increased academic interruptions due to medical experiences may lead to decreased science motivation, reduced sense of belonging, self-efficacy, and self-determination.Data was collected from 390 students across 14 biology courses, including non-majors, at a teaching-focused institution, both before and after the courses. Surprisingly, 57% of surveyed students reported having a medical experience, and 22% reported having a chronic condition, highlighting the significance of this identity within the student population.As anticipated, students experiencing more medical interruptions exhibited a notable decrease in their sense of belonging and self-efficacy, albeit with a small effect size. Intriguingly, students with medical experiences who engaged more with science demonstrated significantly higher levels of science immersion and motivation. This suggests that medical experiences can influence student engagement with science, both positively and negatively. The impact of these interruptions on a student's academics is closely linked to their sense of belonging and self-efficacy. However, if medical experiences drive increased engagement with science, students may find themselves more motivated to explore these experiences within the context of scientific inquiry.Understanding how medical experiences can shape students' motivation is essential as science instructors adapt their course content and pedagogy to be more inclusive, embracing the diverse identities within their student population.

Authors: Alberto Miranda, Samannoy Ghosh, Yong Lin Kong. Mentors: Yong Lin Kong. Insitution: University of Utah. Microscale robots can impart a broad range of functionalities in the biomedical domain that can be leveraged to address unmet clinical needs, including noninvasive surgery and targeted therapies. Conventional robot navigation methods typically involve specific gaits suited for certain environmental conditions. However, implementing the same conventional methods inside a human body is highly challenging. As the human body is a complex and dynamic environment, a microrobot must adapt to these complex and challenging environments to perform targeted studies. Previous research demonstrated an integration of an untethered, 3D-printed three-linked-sphere crawler with a model-free reinforcement algorithm. The work done with the theoretical Najafi–Golestanian three-linked-sphere mechanism was its first experimental integration with a reinforcement learning algorithm as a relatively simple and highly scalable self-learning robot that can navigate in unconfined and confined spaces. The progress presented in the current research is a direct continuation of the previous work on the 3-linked-sphere crawler. While the previous work focused on developing a proof of concept for adaptive gait learning for the crawler, the current work focuses more on the challenges of implementing the robot in a low Reynolds number fluid medium. Our current research hypothesizes that a self-learning autonomous system could demonstrate successful gait adaptation in a low Reynold’s flow environment. The design of our robot has been significantly improved to make it sustainable for extended use under viscous fluids. The research presented outlines the work that has been done to transition the robot from a crawler into a swimmer, the challenges that have been faced, and how they have been addressed. Successful implementation of this 3-sphere-swimmer will be a step forward in integrating machine learning tools into microswimmers for autonomous gait adaptation inside the human body.

Authors: Ethan Layne, Tareq Hassan. Mentors: Juhyeong Lee. Insitution: Utah State University. A key design criterion for aerospace structural applications is specific mechanical property (i.e., mechanical property divided by the density of a material). Honeycomb sandwich panels which are commonly used in aerospace/aviation structural applications provide lightweight performance, however they have several drawbacks. They include (1) limited alteration of core geometric parameters, (2) few core material selections, and (3) a closed-cell core network. These limitations may be bypassed with 3D-printed lattice-core sandwich panels to provide customizable structural performance. This study investigates impact resistance of architectured sandwich panels designed with various core designs and infill densities. A series of 5~20J low-velocity impact (LVI) tests will be performed on 3D-printed ABS sandwich panels with honeycomb, gyroid, and triangle cores; with infill density varying from 5% to 15%. In this work, the effects of core geometry and corresponding infill density on LVI resistances will be studied to optimize the structural performance of 3D-printed ABS sandwich panels. The primary objective of this study is to characterize these novel sandwich structures with highly customizable 3D-printed complex cores, offering tailorable structure performance.

Authors: Josh D Gubler, Connor D Olsen, Fredi R Mino, Mingchuan Cheng, Jacob A George. Mentors: Connor Olsen. Insitution: University of Utah. The long-term goal of this research is to investigate how lower sampling rates of electromyographic (EMG) signals affect the performance of classification and regression algorithms. EMG signals measure the electrical activity of muscle contractions. Myoelectric interfaces can classify or regress features generated from the EMG signal to control devices like prostheses, exoskeletons, robotic systems, or human-computer interfaces. Most of the power of the EMG signal is contained between 50 and 500 Hz, and most recording devices sample EMG at 1 kHz with a 5-15 Hz high-pass filter and a 375-500 Hz low-pass filter. As myoelectric devices become wireless and integrated with wearable technology, reducing the sampling rate can substantially reduce battery consumption and processing power. We sampled EMG data at 30 kHz from the forearms of three participants while they performed six gestures. We then downsampled to rates ranging between 50-1000 Hz and calculated various EMG features from the downsampled data. We found significant effects for both EMG feature and sampling rate on regression performance of a modified Kalman Filter (p < 0.05, two-way ANOVA). The mean-absolute-value and waveform-length EMG features performed significantly better at low frequencies (<250 Hz) in contrast to zero-crossing, slope-sign-change, and mean-frequency EMG features (p < .05, multiple pairwise comparisons). Sampling rate also had a significant impact on the classification accuracy of a k-nearest neighbors algorithm (p < 0.05, two-way ANOVA). However, sampling rate had no impact on classification accuracy for a continuous Convolutional Neural Network (CNN) (p > 0.05, two-way ANOVA). Future work will validate the effectiveness of this CNN as a control modality when using downsampled EMG from wearable sensors. If proficient control can be achieved from down sampled EMG, this could substantially improve battery life and make EMG a more practical biosensor for wearable devices.

Authors: Evelyn Fuentes, Thomas Keate, Christian Riordan. Mentors: Aaron Davis. Insitution: Utah Tech University. Studies predict that extreme weather events, due to climate change, are expected to increase in frequency and magnitude. Specifically, the flooding impacts from a hurricane may lead to the loss of necessary infrastructure, such as water treatment plants, leading to the loss of drinkable water. In response we, as a multidisciplinary team, have developed a purification device that is able to effectively filter water to allow communities and families, without available infrastructure, to receive drinkable water. We are testing different processes of filtration to find the most efficient and cheapest method. This process of filtration would be possible due to a foldable solar array that would power a pump to push water through a filtration system. The solar array would supplement other disaster relief options due to its ability to be used without constant supervision, and it would be capable of continuous, reliable use. This device would allow for the production of drinkable water in the event that water purification infrastructure was down, but grey water was available. The solar array and water purification device would be portable for fast deployment, with options of building a larger device, as part of a disaster relief preparedness package. If successful, this device has the potential to increase disaster preparedness and save lives through providing clean water.

Authors: Rob Patterson, Nate Graham. Mentors: Sally Rocks. Insitution: Utah Valley University. The pervasive use of pesticides in agricultural practices has raised environmental concerns due to their potential to contaminate water bodies and affect aquatic ecosystems. This study focuses on the identification and quantification of three common pesticides—atrazine, 2,4-dichlorophenoxyacetic acid (2,4-D), and dichlorodiphenyltrichloroethane (DDT) in Utah Lake.. Utilizing advanced chromatographic and spectroscopic techniques, including Gas Chromatography-Mass Spectrometry (GC-MS) and High-Performance Liquid Chromatography (HPLC), we aim to detect the presence and determine the concentration levels of these substances. Water samples were collected from multiple points around the lake to assess the spatial distribution of the pesticides. The method development involves optimization of sample preparation procedures, including solid-phase extraction (SPE) and cleanup, to increase the detection sensitivity and accuracy. This project enhances environmental monitoring and has implications for water quality management, regulatory compliance, and public health in the region. The anticipated results will contribute to a better understanding of pesticide pollution patterns and will aid in formulating strategies to mitigate the contamination of aquatic environments.

Authors: Cassandra DuBose Corry. Mentors: Elizabeth Vargis. Insitution: Utah State University. Age-related Macular Degeneration (AMD) is characterized by a blurring of the central vision and is one of the leading causes of vision loss in the United States. As a branch of the disease, exudative AMD is distinguished by retinal angiogenesis, when new blood vessels grow into the retina. Understanding retinal conditions that promote or discourage angiogenesis by using mathematical models can lead to improved understanding of disease progression and treatments. This discrete mathematical model presented here uses the theory of reinforced random walks to simulate the biological behavior of endothelial cells (ECs) as they leave a parent blood vessel and travel through the choroid and Bruch’s membrane towards the retinal pigment epithelial (RPE) layer. Cell behavior such as number of divisions and blood vessel coverage are analyzed for comparison to experimental observations. Pigment epithelium-derived factor (PEDF) is included and examined for its effect on the behavior of the ECs and its ability to prevent angiogenesis. This computational model provides novel insights into exudative AMD with parameters that can be adjusted to meet different needs.

Authors: Cassandra L Burdick, Caleb J Thomson, Troy N Tully, Jacob A George. Mentors: Caleb Thomson. Insitution: University of Utah. The long-term goal of this research is to decode fine motor intent from electromyography (EMG) of hemiparetic muscles. Stroke is the leading cause of disability in the United States, with 800,000 individuals experiencing a stroke each year. Eighty percent of stroke survivors experience hemiparesis. Severe hemiparesis immobilizes the arm, making it difficult to assess EMG control and motor function on traditional tasks. Here, we introduce a variant of the clinical Box and Blocks Test (BBT) of hand dexterity in virtual reality (VR) to assess fine motor function of EMG control in hemiparetic stroke patients with immobile arms. Our VR variant of the BBT allows individuals to control a VR hand to transfer VR blocks back and forth between two locations separated by a barrier. The VR hand can grasp, rotate, and translate based on EMG commands or other control signals received at 30 Hz via UDP communication. The forces exerted on the blocks and the location of the blocks and hand are logged to assess grasping precision, force regulation, and transfer rate. Multiple block sizes can also be used to assess dexterity with various grip apertures. The ability to assess EMG control in patients with hemiparesis can support the development of myoelectric orthoses. Practicing dexterous myoelectric control in VR may also help alleviate hemiparesis and expedite qualification for myoelectric orthoses.

Authors: Rui Jin, Lindsay C Rupp, Anna Busatto, Rob S MacLeod. Mentors: Rob S. MacLeod. Insitution: University of Utah. Introduction: The electrocardiogram is the most common tool to diagnose and assess cardiac conditions, such as rhythm abnormalities, myocardial ischemia, and heart failure. However, clinical diagnosis and management of heart disease are challenging due to the remote nature of body-surface electrocardiogram measurements, with a median accuracy of 67% among physicians. One approach to improve the accuracy of electrocardiography is to conduct mapping studies in which 10-100 catheter-based electrodes are inserted within the heart. The recorded signals provide more proximity and thus accuracy, but they also require specialized software to analyze, quantify, and visualize. We developed the Signal Processor for Electrogram and Electroanatomic Data (SPEED), a new, open-source, unified pipeline to facilitate effective signal processing and visualization of such cardiac-mapping signals.Materials and Methods: Our pipeline is based on two existing toolboxes, the Preprocessing Framework for Electrograms Intermittently Fiducialized from Experimental Recordings (PFEIFER) and OpenEP. PFEIFER is a toolset for sophisticated signal-processing of cardiac electrograms that allows the user to select semi-automatically fiducial markers, which are time points and intervals of interest within a heartbeat. OpenEP primarily accepts as input complete electroanatomic data, including both processed cardiac electrograms and spatial geometry; OpenEP also provides built-in functions for analyzing and visualizing cardiac electrograms, such as displaying potentials on the cardiac geometry. Since both software packages provide complementary workflows for managing electrograms, our goal was to integrate the two software packages and present it to the user as a new Graphic User Interface utilizing both applications simultaneously.Results: It was natural to develop SPEED in MATLAB as this is also the language used for both PFEIFER and OpenEP. The primary interface to SPEED incorporates a data-centric design such that the user can provide the electrogram and geometry files to be processed, and the algorithm automatically determines the applicable functions based on the input type. Since both PFEIFER and OpenEP can parse data into more interpretable open-source formats, the user can also export the processed data for further analysis in addition to visualizing and quantifying the data features. Through integrating both software packages, SPEED can support the following main functionalities: (1) in-depth filtering and processing of electrogram signals, (2) visualizing anatomic geometry and electrode locations, and (3) mapping three-dimensional potential and activation of cardiac electrophysiology.Discussion: SPEED offers the user a more thorough and unified workflow in the analysis of cardiac-mapping signals than either of its components. The user can utilize the functionalities of both PFEIFER and OpenEP simultaneously, allowing for a versatile and powerful processing pipeline. For instance, the user can extract key features from the recorded electrograms and visualize the location of the corresponding electrodes, a feature that was previously not possible. In addition, the open-source nature of the software packages allows the user to modify or expand the functions to better suit their individual needs. The software design of SPEED is still in the early stages; thus, as with most software, further development and user testing will follow to make the algorithms compatible with more data types and implement additional features. Conclusion: SPEED processes and displays the complex information in a clear and accessible way, allowing the user to perform subsequent interpretations and analyses more easily. SPEED can be used by research cardiologists to facilitate a more efficient workflow, as well as to improve the efficiency and accuracy of clinical diagnosis of heart diseases.

Authors: Lukas Keller, Jixun Zhan, Zhen Zhang. Mentors: Jixun Zhan. Insitution: Utah State University. Curcumin is a common dietary supplement found naturally in the plant turmeric (Curcuma longa). Native to South Asia, the turmeric plant has been an important component in Indian and Chinese folk medicine. Curcumin has long been known to be an effective antioxidant and possesses anti-inflammatory properties. In today’s world, curcumin is a common nutraceutical and plays a part in the billion-dollar supplement industry. However, production and extraction of this compound is difficult and uses vast amounts of resources to cultivate. One solution to produce natural products like curcumin is the use of metabolic engineering to synthesize the product in another organism. The USU Metabolic Engineering Lab has developed a synthetic metabolic pathway to produce curcumin from an amino acid inside genetically transformed E. coli. The use of metabolic engineering techniques can produce larger quantities of the desired compound in greater quantities and purities while using a fraction of the land, water, and energy. To inform the use of these techniques, a predictive computational pathway was developed and is being validated with experimental results. An effective model can help researchers and businesses by allowing them to accurately predict curcumin yield and concentration during production.

Authors: Nathan Jones, Carter Noh, Douglas Cook. Mentors: Douglas Cook. Insitution: Brigham Young University. Neural networks are used to identify specific objects in a picture and are often used in robotics to allow robots to identify objects through a camera. They can be used in agriculture to allow machines to identify plants to harvest and cultivate. The preparation of the neural network model involves taking thousands of pictures in a variety of situations. Networks with a large quantity of pictures in a large variety of angles, lighting, environments, etc. have a better chance of identifying plants in any situation. Our lab needed a device for rapid data collection that could be placed in a field to automate the process of taking pictures of crops. We used a gantry system that was controlled through three stepper motors, one for the x-axis and the other two for the y-axis. Two cameras were placed on the head of the gantry system and were driven through a 40” x 40” area. Each camera was connected by a double ball head arm which can point a camera in almost any direction. The camera arms were screwed into a plate with a 5 x 5 grid of bolt holes; these holes and the double ball head arms gave us control over the angle and distance of each photo to increase the variety of our data set. In October 2023, our rapid data collection device was tested in a field and was able to capture over 50,000 photographs of saffron flowers at a variety of angles, lighting, and distances. The results of our device were promising and we have some improvements that we plan on making. We anticipate that with these improvements, next saffron harvest we will be able to increase the number and variety of pictures to improve our dataset.

Authors: Addison McClure, Marshall Christensen, Braxton Fjeldsted, Luke Howell, Cole Dunn, Kirsten Steele, Andrew Tagg, Douglas Cook. Mentors: Douglas Cook. Insitution: Brigham Young University. Stalk lodging is the event of failure just below the ear or node of a maize stalk. Brazier buckling is the most common mode of failure and consistently occurs near the node. Maize stalk lodging has been studied for several years; however, relatively little is known about the process and progression of stalk failure. The purpose of this study was to characterize tissue-level failure patterns of maize stalks. A better understanding of failure patterns could provide further insight into developing maize stalks that are less susceptible to failure. The failure region was studied using several techniques including various imaging techniques(Scanning Electron Microscopy, x-ray computed tomography, and digital image correlation), experimentation (bend tests with recordings of acoustic emissions), and quantification of cross-sectional ovalization. We found that ovalization occurs prior to stalk failure and is strongly correlated with the onset of buckling. Despite this correlation, neither ovalization nor acoustic emissions were predictive of failure. Tissue-level analysis revealed that buckling occurs at many different scales, including at the organ, tissue, cellular, and cell wall level. Based on these observations, we propose a new conceptual model for understanding stalk failure. This model states that the probability of tissue failure and the probability of buckling failure increase in a highly correlated fashion. When one mode of failure occurs, it immediately initiates the other failure mode as well. This model suggests that efforts to improve stalk strength need to address both tissue strength and buckling resistance.

Authors: Jacob Winters. Mentors: Nathan Crane. Insitution: Brigham Young University. Carbon fiber-reinforced plastics are useful because of their high stiffness and high strength. Compliant mechanisms, or mechanisms that can bend and flex, can lower production costs, assembly time, and weight. When carbon fiber-reinforced plastics and compliant mechanisms are combined, the result is a part that is strong, lightweight, and adaptable to many geometric configurations or shapes. However, it is challenging to manufacture compliant mechanisms from carbon fiber because the matrix is usually infiltrated uniformly. The purpose of this investigation was to determine how to produce compliant carbon fiber plastic components using selective, patterned powder infiltration to achieve the desired component properties. The investigation involved determining the correct method of curing the resin, designing specific carbon fiber parts to achieve various geometries, and producing demonstrations that prove the feasibility of the manufacturing process. The result is a proven process for creating compliant mechanisms out of carbon fiber composites.

Authors: Caleb Fears. Mentors: Troy Munro. Insitution: Brigham Young University. To further the development of medicine and understand the structural stability of both pathogenic and therapeutic proteins, knowledge of the thermodynamics of biomolecules is necessary. An example is amyloid fibrils seen in Alzheimer’s patients, where their unfolding and polymerization is dictated by a poorly understood interplay between enthalpy, entropy, and other thermodynamic properties. Devices such as isothermal titration calorimeters (ITC) and differential scanning calorimeters (DSC) are commonly used to measure these values, but the devices often are insufficiently sensitive to detect small heat changes or require large amounts of sample. Thus, the development of microfluidic thermodynamic measurement devices using small, highly sensitive Peltier elements for biosensing is needed. Through the use of a 3D printer, we are able to design and print chips that have the vacancies needed to miniaturize Peltier elements. This is possible because you can print and fill channels (thermoelectric legs) with dimensions as small as 70 microns by 70 microns, which will at least quadruple the number of thermoelectric legs compared to commercial PE devices with the same footprint. We have managed to insert and cure electrically conductive materials needed for Peltier Elements into channels of 100 microns by 100 microns. And through the use of micro-casting techniques, we have also produced chips that contain the electrical connections, with the same channel size (100 microns by 100 microns), needed to connect each thermoelectric leg. The further development of these PE devices will help us develop the calorimeters necessary to accurately and efficiently study protein thermodynamics.

Authors: Chris Paul, Alex Edwards. Mentors: Christopher Dillon. Insitution: Brigham Young University. Focused ultrasound thalamotomy is a novel treatment that uses sound waves to ablate problematic neurons in the thalamus, treating conditions such as essential tremor and tremor-dominant Parkinson’s disease. However, this treatment can result in high temperatures at the skull-brain interface which can inadvertently damage adjacent brain tissue. Currently, this risk is reduced by keeping stationary chilled water around the skull during treatments. However, many patients are still unable to receive treatment due to unfavorable subject-specific characteristics (i.e. large amounts of cancellous skull tissue). This study hypothesizes that convective water flow will remove heat from the skull more quickly than stationary chilled water, allowing more patients to receive treatment. To quantify convection effects, we designed an experiment to imitate a patient undergoing focused ultrasound thalamotomy. The experimental setup consists of a hemispherical 3D-printed mock skull containing a brain surrogate, placed into a mock ultrasound transducer. Heating is achieved by pumping hot water at a constant temperature across the inside of the brain surrogate. Temperature will be recorded throughout the setup as we run cold water around the skull in varying amounts. Temperature data from the convection setup will be compared to conduction data to determine which is more effective. The apparatus has been constructed, and experimental data will be recorded shortly. Determining the extent to which convection heat transfer can be increased is an important step in developing more effective treatment plans and improving the lives of additional patients.

Authors: Tyler Hamm, Jake Numbers, Ryan Ruth, Hunter Pitchford, David Allred, Troy Munro. Mentors: David Allred. Insitution: Brigham Young University. Molten salt reactors (MSRs) are being investigated for use in clean energy to replace the common pressurized-water nuclear reactors currently in the United States. MSRs use high-temperature, low-pressure molten salt coolant to provide safer and more efficient energy production. However, many MSRs salt compounds lack tested thermophysical properties, including thermal conductivity. Our research focuses on experimentally measuring MSR salt thermal conductivities using a modified transient hot-wire technique. We use a needle probe, equipped with a thermocouple and heating wires, immersed in molten salt compounds at temperatures running from 400–700℃. Thus far, we have tested the thermal conductivity of LiCl-NaCl (eutectic and 91%LiCl composition), NaCl-KCl (eutectic), LiCl-KCl (eutectic), LiF-NaF (eutectic), and FLiNaK. These test results indicate higher than predicted thermal conductivities and consequential further investigation into the physical properties of our probe to improve the experimental design and data evaluation. This research and improved experimental method will provide accurate and precise experimental results of MSRs molten salt thermophysical properties to populate the national database used by MSR developers which will help further the possibilities and practicalities of MSR technology.

Authors: Michael Olson. Mentors: Nathan Usevitch. Insitution: Brigham Young University. Wearable robotic devices are versatile for assisting users in many scenarios. These devices could provide therapy treatments to users recovering from injuries, provide support for factory workers who commonly perform repetitive tasks (in 2021 there were over two million work-related injuries in the US) and aid motion for elderly people with limited mobility. Whereas other assistive devices require external machinery and infrastructure, a wearable device makes it possible to provide aid during activities of daily living, and in normal work scenarios. Wearable tech can reduce metabolic work required to complete a variety of simple tasks, can enable a user to accomplish tasks normally requiring greater strength than they possess, and can help improve motion capabilities of users in cases of limited mobility.At BYU, we are developing a wearable system to assist user's elbow motion. Our design uses a system of motors mounted on a backpack frame. These motors connect to the assistive sleeve through a set of Bowden cables. We are developing a general mechatronic platform that can be used to actuate several different sleeve designs. Developing this platform enables us to quickly experiment with different sleeve designs and cable routings. The system uses three pairs of motors per arm: one pair for arm pronation and supination (wrist rotation), one pair for elbow extension and flexion (like doing a bicep curl), and one pair for medial or lateral rotation (rotation of the arm to the left or right). When one motor tenses to provide force to move the arm in a particular direction, the other motor relaxes, enabling the arm to travel in that direction. The motors are controlled by an Arduino Nano 33 interfaced with a laptop, and the device could be modified to be compatible with an X-Box controller connected to Robot Operating System (ROS), providing wireless control for arm motion. Potential applications may include rehabilitation, mobility assistance, and assistance with repeated tasks.

Authors: Jordan Penfold, Cera Gowans, David T Fullwood, Anton E Bowden. Mentors: David T Fullwood. Insitution: Brigham Young University. Wearable nano-composite strain sensors created at Brigham Young University are used for biomechanical studies of human motion, due to their ability to follow and sense skin deformation. The manufacturing process for these sensors involves combining the raw materials that make up the sensors – silicone, nickel nanoparticles and nickel-coated chopped carbon fibers – in a planetary mixer, followed by extrusion of the uncured slurry through a syringe with a specialized tip. After extrusion, the sensor material strips are cut to length and subsequently casted and cured. However, undesirable variability in the final piezoresistive properties of the sensors was discovered. This variability was hypothesized to be attributable to sensor positioning during extrusion process. For example, fiber alignment may change as the extrusion process develops, or internal voids may be more evident in sensors cut from different parts of the extruded slurry. To test this hypothesis, several batches of sensors were created with precise records of each sensor position after extrusion. Some sensors were also set aside for CT scans to analyze their void content and nickel concentrations. The results suggested that the sensors located on the initial and terminal ends of the extruded slurry strips had statistically significant differences in piezoresistive properties when compared to the sensors from the central portion of the material strips. Sensors cut from the ends of extruded strips were more likely to have a lower standard deviation of average resistances while strained and relaxed, and were more likely to pass quality control inspection. As a result of this research, we learned that sensors with more consistent physical properties could be obtained by intentionally shortening the strips of slurry produced during the extrusion process (e.g., creating sensor batches with exclusively “end” sensors). After applying this change in methodology, sensor batches usually had more consistent physical properties when compared to sensors made with previous methods.

Authors: Taylor Forbes, Rachel Harris, Benjamin Jackson, Nicole Peterson, Sydney Tanner, Chloe Nelson. Mentors: Christopher Dillon. Insitution: Brigham Young University. Focused ultrasound (FUS) therapy is a non-invasive therapy for breast cancer. Treatment plans for this therapy are created on a patient-to-patient basis, which requires a significant amount of time from medical professionals. An important and time-consuming part of developing treatment plans is the precise segmentation of the breast magnetic resonance imaging (MRI) scan and subsequent treatment simulation to ensure that the treatment is effective and safe. Segmentation involves dividing the MRI dataset into segments by assigning distinct tissue types that are then assigned properties and used in simulations to help clinicians plan FUS treatments. However, imprecise interfaces between different tissue types in MRI images lead to discrepancies between individual segmentations, thereby introducing variability into the segmentation process. This variability—which is found even among expertly performed segmentations—can lead to differences in treatment plans. Here, analysis was performed in order to quantify interobserver variability in breast MRI segmentation. This study was conducted by providing basic segmentation training to undergraduate research assistants with no prior segmentation experience. Each participant segmented the same breast MRI dataset into different tissue types using the software Seg3D. The different segmentations were then compared using contour similarity metrics (such as the Dice Similarity Coefficient and Jaccard Index) as well as tissue volume differences. The interobserver variability was quantified using the results from these analyses, which will be helpful in determining the level of precision required for the use of a given segmentation in FUS treatment planning.

Authors: Isaac Sudweeks, Bradley Adams. Mentors: Bradley Adams. Insitution: Brigham Young University. Isopleths are graphical representation of atmospheric data used to analyze the response of an atmospheric chemical such as Ozone to the change in other chemicals in the atmosphere such as oxides of nitrogen and volatile organic compounds. Isopleths then can be used by researchers and other to decide the best way to reduce pollutants in the atmosphere. I set out to use data processing and statistical models to better understand and interpret large experimental chemistry data through the creation of 3 dimensional isopleths. I started by splitting up the data into 2 figures that were functions of 1 variable to make simpler 2d plots. After exploring several techniques to create models such as smoothing splines, b-splines and least squares to fit a quadratic, and through using tools such as generalized cross validation, analysis of covariance, and general visual inspection, I concluded that the best model to create an isopleth is, in the case of the data I was given, a least squares fit-b spline (LSQ spline) using a small number of knots spread evenly over the range of data.

Authors: Caleb McDougal. Mentors: Nathan Usevitch. Insitution: Brigham Young University. Managing difficult terrain poses a major obstacle for current robotics. Everything from search and rescue to extraterrestrial exploration involves complex controls in unpredictable environments. One potential solution to handling such terrain is a robot that can jump. This could bypass the complex terrain handling and increase the speed at which long distances could be covered. While current robots can jump far, their jump distances decreases quickly with added payload massIn this project we propose a design that stores energy by accelerating a flywheel and converting its rotational energy into linear energy through a string system. Our proposed string system concept is similar to the string systems found in twisted string actuators. The strings slow the flywheel down while accelerating it upwards providing the energy for the jump. The primary energy storage mechanism of the robot is storing energy in the spinning mass of the flywheel. This means if we add payload mass to the flywheel we increase total energy stored. This allows us to increase payload mass without significantly affecting the total energy density of the robot. This would enable robots with heavy payloads to jump large distances.We are developing the system through building both a theoretical model as well as physical prototypes. Through analysis of the system we have determined an optimal rate of transmission as well as an optimal geometry for peak transmission. The models relate the geometry of the string system to the rate of transmission from angular to linear speed. We have created and tested prototypes as proof of concept on a small scale. Prototypes have been created using 3D printing and rapid manufacturing techniques. These have allowed us to explore the effects of different parameters.Jumping robots could traverse complex terrain and help explore rugged environments. The flywheel string system could allow the robot to effectively carry large payloads while maintaining large jump heights. The proposed jumping robot design could lead to important innovations in the fields of robotics and dynamics.

Authors: Jakob G Bates, Matthew B Snyder, Porter Adelman. Mentors: Christopher R Dillon. Insitution: Brigham Young University. High intensity focused ultrasound (HIFU) is a non-invasive medical procedure that uses ultrasound waves to heat up and destroy harmful cells such as tumors. In order to accurately perform this procedure the ultrasound waves must reach and accumulate at a specified target location. This can be difficult to predict because of the way that ultrasound waves reflect, refract, and lose energy within the human body. Tests are run using simulations in order to ensure successful targeting of the ultrasonic transducers. These simulations use data collected from human tissue samples to provide the best results. Unfortunately it is difficult to obtain real human tissue samples from histology labs of hospitals.Our objective is to create a portable measurement device that will allow us to enter histology labs and collect necessary data on site. We propose to design and build an acoustic property measurement device that integrates acoustic transducers with digital calipers. The portability of this measurement device will enable access to a greater number of tissue samples and provide more accurate property measurements. This will lead to better simulations of the HIFU therapy and therefore improve the overall safety and success of the medical procedure.

Authors: Joey McConkie, Jackson Wilcox, Eli Smith, David Phair. Mentors: Christopher Dillon, Matthew S Allen. Insitution: Brigham Young University. Elevated strain in the Achilles tendon places ballet dancers at high risk for tendinopathy, which in severe cases can terminate a dancer’s career. Typical methods of measuring in vivo tendon stresses—which could be used to predict and prevent tendinopathy—are invasive, making them impractical for professional dancers. We use a portable, non-invasive, externally mounted system of one transducer and two accelerometers to generate and record vibrational motion within the tendon. The speed of sound waves propagating through the tendon is used to calculate the stresses present. The portability of the system allows it to be worn by a dancer during an actual dance routine instead of requiring measurement to be taken at a fixed location where mobility is limited. This system results in data that can noninvasively quantify tendon stresses regularly experienced by ballet dancers. The improved understanding of in situ stresses measured by this device will have great potential for improving the prediction and prevention of debilitating tendinopathy.

Authors: Elizabeth M J Allen, Steven P Allen, Henrik C A Odeen. Mentors: Steven P Allen. Insitution: Brigham Young University. BackgroundThe focus of this project was creating phantoms with customizable attenuation and stiffness for visualizing histotripsy lesions created with magnetic resonance guided focused ultrasound surgery (MRgFUS). Having phantoms with varying mechanical and acoustic properties is important because they affect cavitation and allow for testing of different histotripsy mechanisms. Creating a tunable phantom with red blood cells (RBCs) spread throughout it is valuable because it allows us to visualize High Intensity Focused Ultrasound (HIFU) lesions from MRgFUS in three dimensions throughout the gel.Materials and MethodsWe produced gels with tunable acoustic and mechanical properties by mixing 5 different ratios of evaporated milk and deionized water with 5 different ratios of agarose powder to create 25 different gels.Gel attenuation was measured using a through transmission setup and Young’s Modulus was obtained using a tensile tester in compression. The MR properties, including T1, T2, and T2* of each gel were also measured prior to creating histotripsy lesions.ResultsIn general, the agarose gels had an increase in attenuation as the amount of evaporated milk increased, and an increase in mechanical stiffness as the amount of agarose powder increased. They also provided excellent lesioning contrast for visualizing MRgFUS lesions.ConclusionsWe successfully created a series of tunable gels for visualizing MRgFUS lesions. These gels are also useful for characterizing ultrasound transducers and can be used to test emerging MRgFUS technology as it becomes more widely used and is further developed.

Authors: Davis Wing. Mentors: Matt Allen. Insitution: Brigham Young University. When thin structures vibrate under large forces, can exhibit geometric nonlinearity, which makes it very hard to compute their motion and the stresses they undergo. This work builds on prior efforts, which used a small number of computations derived from detailed models, together with machine learning techniques, to train a reduced order model (ROM). This ROM could then be simulated efficiently to estimate the dynamic, nonlinear response of the structure in a fraction of the time it takes to compute the full-order model.This reduced order modeling technique is called Gaussian Process ROM or GPR ROM, and was developed by Park et al. [MSSP, vol. 184, p. 109720, 2023]. The GPR-ROM approach works by applying a number of static loads to the detailed model of the thin structure, and then by integrating those loads over time, it produces an understanding of the dynamics. In addition to its speed, this approach also provides confidence bounds on its findings, meaning that researchers can gauge a number of plausible values for the nonlinear responses of the system being measured.This research further develops this approach to computing the dynamics of structures by applying the GRP-ROM to a more complicated structure than previously studied, namely, a gong. The gong as a test structure is significant, as the signature sound of a gong is produced through geometric nonlinearities. In order to capture the behavior of the gong, and thereby its sound, several modes need to be studied simultaneously, and thus more degrees of freedom are required to capture its behavior in a ROM. This work evaluates the GPR-ROM process for the gong by computing various ROMs for different load states, thereby capturing the geometric variability of the gong’s responses. Then, the non-linear normal modes (NNMs) of the system are calculated within 95% confidence, which allows for a reasonable understanding of the dynamics of the system. These will be compared to the NNMs computed, at great expense, from the full-order model to validate the method.

Authors: Carolina Wright. Mentors: Spencer Magleby. Insitution: Brigham Young University. In recent years there has been an increasing demand for satellites that take up less space, but can still provide a large surface area. One existing solution to fit more material into less volume is deployable systems: systems that can be stowed in small spaces and then expand to occupy a large surface area. Fitting the components of a deployable system into that small space however is where difficulties arise. Thick materials do not stow into small volumes, so thinner, lightweight materials are more desirable. These types of materials can be called “gossamer” materials, and have been used in many space applications of deployable systems. Gossamer structures solve many problems related to stowing satellites in small spaces, but another complication arises for certain applications: current approaches in gossamer technology involve much creasing and wrinkling of the membrane, and do not generate the flatness required for larger, more complex systems. This is detrimental to reflectarray applications, which require a very flat surface. This research seeks to provide a solution to stowing a membrane without creasing it, thus allowing for greater flatness once deployed. This will be done by splitting the membrane into panels, folding them over each other, and rolling it up. Rolling the membrane reduces wrinkles, but adjacent panels must be able to slide past each other. Regular folding does not allow for this movement, so this requires the development of specialized surrogate folds. Surrogate folds are hinges that are used to replace the creases in a folding pattern, so the membrane itself remains unbent. As we design these folds we will look specifically for characteristics which allow for those adjacent panels to slide side by side, as well as still fold 180 degrees. This will allow the panels to fold over each other, roll up tightly, and then be deployed while leaving the membrane free of creases or wrinkles. The results of this research will be key to developing larger deployable systems in the future. Greater precision and flatness as a result of surrogate folds will open a door for further advancements in the technology that can be used on smaller, thinner reflectarray satellites.

Authors: McKayla Ridenour. Mentors: Alex Giannell. Insitution: Utah Valley University. "DID" is a painting that delves into the concept of duality within myself. The painting explores my vulnerability as its subject matter. As someone with Dissociative Identity Disorder (DID), I am displaying myself and another personality in the artwork. I aim to shed light on those suffering from DID and other mental conditions. I used a lot of glazing and subtractive methods to achieve the desired effect during the painting process, such as complex darks and layering of paints.

Authors: Emily Barber. Mentors: ALEXANDRA GIANNELL. Insitution: Utah Valley University. I am presenting on the process of subtraction with oil or acrylic paint. I have loved this process and have found to be impactful to me and my practice. This process can show you art in a whole new way. It's the opposite of what we are told to do. It gives you the chance to reveal something that maybe was lost or hidden. Maybe you go into the painting with an agenda, maybe not. Both ways will most likely show you more then you expected. This process creates depth, and a feeling that is very different to translate by traditional addition.I have found it exciting to use different kinds of tools to create. Instead of a pallete knife and paint brush it's rags, Q Tips, and maybe any kind of scraping object you find. Because of the nature of this process it is also fighting the clock. You must pull and drag away unwanted value before the paint dries. The timing and planning are very critical, yet when I create this way I find it calming and rewarding. Sometimes when creating you have to pull out of your normal strokes, and methods. When you can do that, it helps you focus more on concept, and feeling rather then aesthetic and style. By pulling and scraping the information away, you might have the chance to reveal the unknown.

Authors: Olivia Mard Oquist. Mentors: Alexandra Giannell. Insitution: Utah Valley University. “Female allegory” encompasses two oil paintings that together explore the complex, multifaceted nature of womanhood, using metaphorical imagery, specific handling of paint and the traditions of oil painting.The first painting depicts a blurred face of a woman symbolizing the complex and often misunderstand aspects of a woman’s identity. The soft blurry quality invites the viewer to contemplate what is below the surface. In addition, it challenges societies ideas of beauty and pointing to the sometimes forgotten truth that a womans true essence transcends her physical appearance.The blurriness also serves as a mask to hide feeling and emotions that tend to be categorized as typically female and often viewed in a negative light. Parts of the face will be more blurry than others, symbolizing times when as a woman I and every woman I know have felt invisible or powerless.The second painting is a still-life of objects that each symbolizes the female body (both contemporary symbols as well as historically) Seashells, pears, mimosa flowers are some objects that represent womanhood and the female form. The objects represent the diverse nature and the layers of the female spirit. The history of a still-life deals with the ideas of perfection and stillness that long have been expectations of women. The paintings will connect through a visual language of color palette and handling of paint and together, the paintings invites the viewer to explore the intricate layers of womanhood and to go beyond physical appearance. It celebrates the culmination of experiences, emotions, and symbolism of what being a woman means and what the expectations around us have been and still are today.

Authors: Rebekah Victoria Still. Mentors: Alexandra Giannell. Insitution: Utah Valley University. We all experience panic. For many people it is a rare experience, while for those diagnosed with panic disorders, it can be a regular and debilitating occurrence. Oftentimes, it’s embarrassing and difficult for those living with such a disorder to explain to friends, family, coworkers, supervisors, and peers what they’re feeling and why it affects their lives so thoroughly. In this project, I approached various strangers to ask them about their experiences with panic in an effort to develop a unique and universal language, which would enable viewers to better understand panic and open an empathetic dialogue between those with such a disorder and their loved ones.Based on the answers I received, I was able to sort the data and create multiple visual recipes which I used to develop a series of preliminary works. With each rendition, I asked for feedback from those with and without panic disorders, so as to assess the effectiveness of my color palette, symbology, and mark making techniques. Through this process of creation and criticism, I arrived at a composition which successfully encapsulates the feelings, sounds, and appearance of panic.As someone who lives with PTSD, I believe that it’s important to foster empathy for those around us and earn how to effectively communicate our feelings. My objective is that through this work, people who previously didn’t have the words to discuss their mental health will be able to use this piece to start an open and honest conversation with their loved ones. Furthermore, by using a universal, visual language, those who don’t have panic disorders will be able to begin the process of opening their minds and hearts to understand the people who do. In this sense, my final painting is not an answer, but a question meant to inspire further research and exploration.

Authors: Rayne Beau Vanderpool. Mentors: Alexandra Giannell. Insitution: Utah Valley University. For this upcoming UCUR art presentation, I will be showcasing two paintings that I created during a previous painting class under the guidance of my mentor. Both artworks are landscape portraits inspired by the breathtaking Utah mountains. Through these paintings, I experimented with new techniques and aimed to express myself uniquely. I had a lot of fun experimenting with my color palette and visual mixing techniques while creating both of these paintings. Through this presentation, I aim to demonstrate how you can find purpose in your artwork while also enjoying the creative process.

Authors: Nawres Al Saud. Mentors: Alexandra Giannell. Insitution: Utah Valley University. My work beautifully embodies the concept of oneness in diversity by seamlessly blending various elements, perspectives, and voices into a harmonious whole. Like a symphony of colors, my art celebrates the rich tapestry of human experience and the interconnectedness of all things. It serves as a powerful reminder that despite our differences, we share a common humanity. My work is a testament to the idea that diversity is not a source of division but rather a source of strength, resilience, and creativity. It encourages us to embrace the uniqueness of each individual and culture while recognizing the threads that unite us, ultimately emphasizing that we are all part of a larger, interconnected whole.

Authors: Kessley Durrant. Mentors: Alexandra Giannell. Insitution: Utah Valley University. I am doing research on Our Lady of Guadalupe, her significance to Mexican culture, and the Aztec goddess she was transformed from. As a Mexican who grew up Catholic, Guadalupe is an important symbol to me, and such an integral part to Mexican culture. Before she was Guadalupe she was known as Tonantzin. She presented herself to Juan Diego when he was lost in the desert and hopeless. She told him that she would change to save her people. Tonantzin means Our Mother, Mother Earth. The giver of life and she changed in order to save her people. She became Guadalupe. She told Juan Diego that her robe would be the night sky and she would protect all her children from the misdeeds that were being forced on them. So, her symbol is a sign of safety, where people would go when they had nowhere else to turn. It was a way for the Aztec culture to live on in secret and for our culture to grow in the only way it could. I want to be able to represent her as a Goddess before she transformed into Our Lady Guadalupe. I want to open up the conversation with my fellow Mexicans and start getting closer to our roots and understanding our culture better before the conquistadors. I also want to be able to teach others of our culture and the changes that occurred.

Authors: Ripjaw lemus. Mentors: Alexandra Giannell. Insitution: Utah Valley University. This presentation will explore a selection of artworks which exemplify varying aspects of visual contrast, honing in on the implementation of the principles and elements of art and design. The presentation will include chosen works to show my personal understanding and exploration of these image-making strategies, including the juxtaposition of realism and abstraction, positive and negative space, 2 dimensional and three dimensional, large and small scale, light and dark value, complementary hues, and oposing painting techniques.As an artist and researcher, I am continuing to study how these elements operate in my work and am building an awareness of how a deep investigation of contrasting elements creates a more stimulating experience for the viewer. The three paintings that will be displayed in conjunction with my poster will allow the viewer to experience the work physically as well as participate in discussion with me around artistic decision making and image possibilities.

Authors: Silvia Medina. Mentors: Alexandra Giannell. Insitution: Utah Valley University. Often times growing up we tend to go through different phases or versions of ourselves until we find one that we truly resonate with. We always retain the older versions, as they still tend to peek out from time to time in different aspects of ourselves. With this piece, I wanted to demonstrate my growth and progress, and how it takes all versions of myself and all my experiences when it comes to being who I am today.

Authors: Jessica DeWeese. Mentors: Alexandra Giannell. Insitution: Utah Valley University. I have made it my goal to try as many mediums as I can, both because it's exciting, and to improve and find my artistic passion. As I have started this journey with the few mediums I have tried, I have learned some things about failing. You always fail in the beginning, but the faster you fail, the faster you learn a better way. I will be sharing failures and successes in various mediums.

Authors: Jessica Downs. Mentors: Alexandra Giannell. Insitution: Utah Valley University. My work is rooted in the observation of landscapes, both metaphorical and physical, internal and external, as well as the ecopsychological connection between identity and environment. Whether closely examining living organisms like root systems and trees, studying the topographies of rock formations, or reconstructing internal structures of the body, I combine these forms into abstract images that are both foreign and familiar, conveying the vast range of thought and emotion within the human experience.In investigating this human-nature connection, my work reflects these ideas through the creation of multifaceted abstract landscapes and psychological spaces. The close examination of natural materials and patterns experienced in nature allow me to form connections between environment and self, often causing natural forms to transition from external imagery to the internal topographies of the body. Utilizing multiple mediums like painting, drawing, printmaking, and digital collage, carefully rendered contours of forms and the use of colors found in nature are both observed and intuitive, built using transparent layers that are constantly added and subtracted, as a way to describe the constant evolution of nature and the search for the understanding of its connection and influence on the human psyche.I am interested in the liminal space between observation and introspection as a means of creating a repository for experiences, feelings, memories, and exploration that elicits an emotional response, seeking to expand on the perception of self and foster a healthier relationship between humans and nature that ultimately promotes overall health and economic sustainability.

Authors: Brittney Weiland. Mentors: Alexandra Giannell. Insitution: Utah Valley University. The cyanotype process is a slow time-based method that uses a chemical mixture, water, and UV light to capture instances of spacetime. Cyanotype translations of the body, whether by directly laying a body down on fabric or through the use of translated photographs inherently capture slices of spatiotemporal continuity by nature of its time-based development. Directly placing one's body on chemically treated fabric undergoes only one translation of form: body to image. However, this direct method fails to capture figural resemblance, but rather captures movement through time, leaving traces of 4th dimensional worms. This method draws a closer comparison to temporal continuity but not to recognizable figure. Photographs, long past captured, undergo a process of camera translation, digital translation, printed negative translation, and then finally cyanotype translation but more directly relates to figural recognizability than a direct capture method. However, this photographic process fails to capture more than a few spatiotemporal moments, less in tune with temporal imagery. Through a series of works, Brittney Weiland explores identity through a perdurantist view by capturing moments of body degeneration and drastic physical form changes over the last year as she has battled nearly life-ending illness through the use of cyanotype and photography.

Authors: Brittany Cowley. Mentors: Meaghan Gates. Insitution: Utah Tech University. Art, to me, is an experience, one in which an object, sound, or movement has the ability to evoke an emotion in the viewer, taking them from spectator to participant. Since the first time I laid hold of a ball of clay, I could feel its life and ability to be transformed. This organic material has the potential to become whatever someone can dream up. For the true meaning behind the art piece to come forth and pass to the viewers, a sculptor must fully understand what they are trying to convey and how to best accomplish that. Through sculpting and directing the clay, a form takes place. This is just the first step on the path of creating a sculpture that can evoke emotion in the onlooker. Gestures, textures, and glazes are all added to enhance the feelings of the creator.Franz Xaver Messerschmidt created a series of “Character Heads”. I first came across his work at the Getty Museum when I came face to face with The Vexed Man. Mesmerized by this face, I became fully aware that I had become a participant in his sculpture. The bust of this man is elegantly carved with great care yet reveals the most unusual expression. The nose is scrunched up, eyes tightly shut, and mouth drown into an almost pouty frown. On display at this museum of elite, prestigious sculptures, is a piece that at first glance seemed unsuited to occupy the space, yet through the dichotomy displayed it evoked lasting emotions within me. I have discovered a joy in portraying dichotomous relationships in my own work. This relationship is the marriage of two opposing concepts in one piece. A brightly colored, playful child in the process of self-harm or two decomposing hands embraced in a tender touch can speak emotional volumes to the viewer. The thought-provoking questions that run through their minds allow viewers to start participating in the sculptures. Working alongside my mentor, an expert in the field of emotional sculptures, Professor Gates, I seek to more fully explore the world of conflicting emotions in my sculptures. I will be looking into what dichotomies in different forms produce strong emotions when placed alongside one another. Additionally, I am exploring what glazes and textures can be added to enhance the emotional exchange between the creator and the participant. Within the world of ceramics, glazes are used to add texture, color, sheen, and durability to the fired clay. I believe they can also enhance emotions as well. Through creating sculptures that demand the viewer to stop, take a second look, and question, I hope to enable people to reflect on what they are viewing and see their reality more clearly.

Authors: Abby Hoyal. Mentors: Kristen Arnold. Insitution: Weber State University. The United States is one of the most prominent locations involved in the exchange of children in human trafficking. There are very few outlets that take in recovered children help them receive the proper aftercare and help to gain an education to integrate them back into society. Research has shown that children learn most efficiently in spaces that are modular and flexible. In research conducted for habilitation centers for children, they discovered, “Planning flexibility and variability comfort children and parents, accessibility and emotionality for children visiting [these] centers.” (Kasper, Ilvitskaya, Petrova, Shulginova, 2019). It has also been found that learning levels are highest in spaces that allow the children to learn from their surroundings rather than by just the instruction alone. “An interior shall lead children to learn concepts from working with materials, rather than by direct instruction. [Interiors] should improve cognitive learning, promote independence, curiosity, decision-making, cooperation, persistence, creativity, and problem-solving.” (Manav, 2016). One of the key elements to properly educating children, as listed previously, is to promote independence. One of the ways that research has shown independence to be achieved through design is proper wayfinding elements should be implemented so that occupants do not have to rely on any other occupant to navigate the space. Researchers examined how different colors, light temperatures, and lighting brightness can provide a natural easiness to wayfinding for occupants. Results found, that “the use of cool colors and high brightness levels help people be spatially oriented.” (Hidayetoglu, Yildirim, Akalin, 2012). The Grove will be an Aftercare center that will provide refuge and educate child survivors of human trafficking in a modular environment that educates through the use of space and materials used, with an encouraging push for independence throughout the space due to proper wayfinding elements.

Authors: Morgan Watson. Mentors: Kristen Arnold. Insitution: Weber State University. In the United States, 1 child in every 26 seconds drops out of high school. Out of the 50 million children in America, that are school age, 15 million are unsupervised after school time. With children being at greatest risk between the hours of 3pm and 6pm, these statistics raise a huge red flag. This project’s purpose is to provide peace of mind to working parents, and success for children throughout their school experience and beyond. Research has proven that afterschool program environments are a successful tool used to positively shape and increase healthy behaviors and practices among children (Huang, 2013). School design can affect student behavior, development, and academic performance (Huang, 2013). A key factor in effective school environments is the appropriate use of color. Careful color application has proven to have positive effects on behavior and cognitive learning (Heliyon, 2022). In addition, children have a better school experience when given autonomy. Autonomy improves intrinsic motivation (Ford, 2016). Research suggests that wherever possible, design for autonomy be implemented as a way to support children’s growth and development (Sorensen, 2013). This can be applied through multi-purpose learning spaces and flexible classroom furnishings. Additional spaces for collaboration and creativity are needed to meet the needs of today’s students and hold their attention. Furthermore, autonomy in the classroom environment is supported by designated areas where children can express themselves and make the space their own. Potential areas for this include cubbies and classroom bulletin boards.

Authors: Madi Hancock. Mentors: Nathan Crane. Insitution: Brigham Young University. Binder Jetting (BJ), a type of additive manufacturing (3D printing), creates parts through a multi-layered process. Particles are bound together using tiny droplets of liquid binder. Binder jetting has advantages over other additive manufacturing methods including relatively low costs, fast build rates, and a variety of possible printable materials. However, porosity defects commonly seen in BJ printed parts limit the technology's usefulness in demanding industries. There are several proposed causes of these porosity defects, including poor powder compaction in printed areas, residual carbon from the binder, and powder rearrangement due to binder droplet impact. The relative importance of these factors is poorly understood. This study will compare observations of porosity in printed and unprinted regions of Stainless Steel 316 BJ samples to better understand the possible modes of porosity defects.