Architecture

Authors: Danielle Black. Mentors: Chris Anderson. Insitution: Utah Valley University. Attention Deficit Hyperactivity Disorder (ADHD) is a common psychiatric disorder diagnosed in children, characterized by impulsivity, inattention, and hyperactivity. It is frequently co-morbid with eating disorders, primarily bulimia nervosa (BN) and binge-eating disorder (BED). Impulsivity is an important factor in increasing the risk of binge-eating and subsequent feelings of guilt, which may prompt purging behaviors. This often manifests early in childhood as loss of control while eating and can indicate future development of an eating disorder. The current project aimed to assess the link between ADHD symptoms and disordered eating in Utah Valley University alumni. After obtaining IRB approval, 265 alumni responded to an email survey containing nineteen questions regarding ADHD symptoms and three items related to disordered eating. Pearson correlations revealed a significant association between ADHD symptoms and binging (r=.22, p <.01) as well as guilt about eating (r=.17, p <.01). Limitations of the study include the absence of a clinical ADHD diagnoses, relying instead on self-report, and the homogeneous sample, restricting its generalizability. The study was bolstered by its comprehensive coverage of ADHD symptoms and an adequately large sample size to detect statistical significance. This study provides valuable information for those suffering from eating disorders and the clinicians that treat them. Future research could assess the interplay between treating ADHD and reducing the risk of eating disorders. Notably, purging and ADHD symptoms were not significantly correlated, and future research could further explore that relationship. In conclusion, the relationship between binge eating and ADHD symptoms should be acknowledged by clinicians.

Authors: Emma Parry, Nikki Trush, Christina Pondell. Mentors: Christina Pondell. Insitution: Utah Tech University. Rivers in arid environments provide extremely important sources of freshwater for local ecosystems and communities. These regions are highly vulnerable to climate change and are seeing high rates of human population growth. This leads to unsustainable demand on progressively more threatened freshwater resources. Despite the importance of these water resources for residential, agricultural, and environmental needs, there is little information available to describe long term changes to water quality in response to human and climate change. The Santa Clara River in southern Utah is one prime example of a threatened arid river system that serves as an important drinking water source to a rapidly growing human population. This 52-mile-long river flows from the Pine Valley Mountains and past the cities of Ivins, Santa Clara, and St. George before meeting with the Virgin River. This research discusses results from a water quality monitoring program initiated in February 2023. Our sampling efforts focused on the lower Santa Clara River between Gunlock Reservoir and the Virgin River confluence. We selected four sites to monitor the impacts of changes in land use and restoration efforts on the river’s water quality. In this presentation we discuss results from time series analysis and correlations between water quality, flow rates, and land use to describe how water quality responds to human and climate impacts on this arid freshwater resource. This research underscores the importance of establishing long-term monitoring capabilities for critical water quality parameters and provides valuable insights for sustainable water management and environmental conservation in southern Utah.

Authors: Lauren Howell. Mentors: Joshua Price. Insitution: Southern Utah University. This paper empirically assesses the relationship between state abortion policies and birth control consumption per state in the United States. The intention is not to advocate for or against abortion, but to explore how abortion policy influences the usage of contraceptives per state. The surveillance of contraceptive use holds paramount importance in preventing unintended pregnancies, with 95% of these occurrences attributed to inconsistent or incorrect contraceptive use or the absence of any method. Understanding how behaviors and contraceptive practices change over time in response to state policy alterations is crucial for evaluating the health implications of healthcare access regulations. Contraception stands among the greatest public health achievements of the 20th century, significantly reducing maternal mortality, benefiting pregnancy spacing for both maternal and child health, enhancing female participation in the workforce, and fostering women’s self-sufficiency. Utilizing data from sources such as the American Community Survey (ACS), the Abortion Patient Survey (APS), the National Survey of Family Growth (NSFG), and the Natality Detail File, this study delves into a comprehensive analysis of contraceptive use in relation to state abortion policy. Through statistical analysis using Stata 18 and ordinary least-squares (OLS) regression, this research aims to build on prior studies and ascertain the relationship between strict state abortion laws and birth control consumption. It hypothesizes that restrictive policies, such as increasing the cost and difficulty of accessing abortion, might incentivize women to adopt more effective contraceptive methods to avert the consequences of unintended pregnancies. The study also references prior research that suggests changes in contraceptive use, notably an increased reliance on long-acting reversible contraception (LARC), and how it has contributed to a decline in abortion rates, particularly among adolescents. The results of this study hold the potential to advocate for an increased educational focus on safe sex practices and to increase the accessibility of family planning resources based on state policies. It aims to shed light on the potential impact of restrictive abortion laws on birth control consumption and encourages informed policy decisions for public health and family planning.

Authors: Kira Swann, Cody Dirks. Mentors: Joshua Price. Insitution: Southern Utah University. As students, we have personally noticed that when we had a long-term substitute in the classroom, we didn't learn as much compared to our peers in other classrooms. It has been found in California as well as other states that a teacher’s absence, leaving a substitute in place, leads to worse off standardized scores for students. This paper tests the impact of long-term substitutes on the STAR/CAASPP scores of students. The purpose of this study is to see if there is a detrimental effect on student scores and if long-term subs should be something addressed by the state. Using testing and demographic data from the California Department of Education, we use a fixed effects regression to test the true impact of the impact of long-term substitute teachers. Our results show that there is a small, but statistically significant impact on student performance.

Authors: Allison Perkins, Aubrey Hawks, Talia Karasov. Mentors: Talia Karasov. Insitution: University of Utah. Over the past two decades, studies have documented a 20% decline in Quaking Aspen (Populus tremuloides) populations in western North America (Worrall et al., 2015; Stanke et al., 2021). This phenomenon has been fittingly characterized Sudden Aspen Decline (SAD), and is an increasingly pressing issue as the role of aspen as an ecologically irreplaceable keystone species impacts the health of the surrounding forests (Singer et al., 2019). SAD has been attributed to the interplay of climate change-driven drought and other biotic and abiotic factors that are less well characterized (Anderegg et al., 2013a). One potential contributor to SAD is biotic pests and pathogens (Marchetti et al., 2011; Anderegg et al., 2013a; Worrall et al., 2015). My study system includes both natural populations of aspen representing a precipitation gradient and a controlled garden experiment. The field experiments span five distinct sites across Utah & Colorado, selected and montintered by the Anderegg lab of the University of Utah. The experimental garden contains approximately 300 tree saplings subjected to various levels of drought stress, managed by the Anderegg lab on the University of Utah campus. Through the integration of both controlled and natural experiments, my research aims to comprehensively evaluate the impact of drought exposure on pathogen abundance and chemical defenses in aspen trees.Over the past two decades, studies have documented a 20% decline in Quaking Aspen (Populus tremuloides) populations in western North America (Worrall et al., 2015; Stanke et al., 2021). This phenomenon has been fittingly characterized Sudden Aspen Decline (SAD), and is an increasingly pressing issue as the role of aspen as an ecologically irreplaceable keystone species impacts the health of the surrounding forests (Singer et al., 2019). SAD has been attributed to the interplay of climate change-driven drought and other biotic and abiotic factors that are less well characterized (Anderegg et al., 2013a). One potential contributor to SAD is biotic pests and pathogens (Marchetti et al., 2011; Anderegg et al., 2013a; Worrall et al., 2015). Recent investigations have indicated a link between SAD and specific microbial diseases, suggesting that the increasing frequency and severity of droughts due to climate change might make aspen more vulnerable to certain pathogens, even though many of the most common pathogens of aspen in general require more abundant water (Aung et al., 2018). For example, the foliar Melamspora fungal pathogens require abundant water and are not frequently observed in drought stressed trees.On the other hand, Cytospora, which causes a devastating canker disease in aspen trunks, occurs at higher frequency in plots of trees suffering damage from drought (Guyon, 1996). Lin et al. (2023) shows changes to phyllospheric microbiome in aspen during drought, but far less is known about the leaves specifically. Could drought lead to an altered microbiome in aspen leaves? If different or possibly opportunistic pathogens are better able to colonize the leaf tissue under drought stress, this may be the case.It’s known that plants with a reduced diversity of microbiomes are more susceptible to pathogens (Zheng et al., 2020), but the there is little understanding how drought may reduce microbial diversity in aspen. Aspen have two main groups of chemical defenses (SPGs and CTs) that occur in relatively high levels in the leaf (Lindroth et al., 2023). It is well established that these defend against insect herbivores and that they come with a trade-off for plant growth (Marchetti et al, 2011). There is some observational evidence that these secondary compounds have an effect on pathogens (Jacoby et al., 2021), but there are few controlled studies on this idea. Additionally, Metlen et al. 2009 describes how trees in North America produce higher rates of these metabolites under wetter conditions, attributed to possible UV protection. However, the impact of additional environmental changes have of on the abundance of these compounds is understudied. Aspen are an ideal system to study forest disease and drought because the genus’ (Populus) genomes are easily sequenced and relatively tractable, aspen generally exhibit rapid vegetative growth, their defensive chemistry is relatively well known, and most importantly, they grow in cloned groves that reduce the genetic variation in experiments (Lindroth et al., 2023, Luquez et al., 2007).

Authors: Dua Azhar, Alexander MacKenzie, Sophie Caron. Mentors: Sophie Caron. Insitution: University of Utah. The mushroom body of the Drosophila melanogaster is a structure in the brain that is necessary for learning, but much of how it functions remains unknown. In this model organism, D. melanogaster’s mushroom body neurons, known as Kenyon cells, and input projection neurons have connections that are random and biased—in which some projection neurons connect with Kenyon cells more than others—allowing the fly to potentially prioritize the learning of particular odors. I investigated the functional consequences and characterizations of these biases in order to understand the biological role they play for the fly using a theoretical and experimental approach. With a computational model of the D. melanogaster olfactory system, how biased connectivity to the mushroom body influences its ability to form associations with various odors and distinguish between similar odors was explored. Experimentally, the morphological features of olfactory circuits were characterized by low to high connectivity rates to the mushroom body, allowing us to see the unique features in these circuits that are beyond the different connectivity rates. Through a combination of immunohistochemistry and confocal microscopy, high-quality images were generated of these different neuronal olfactory circuits and their morphological qualities, such as the number and volume of boutons they project to the mushroom body. Altogether, these findings demonstrate how neural connectivities behind learning shape the representation space in D. melanogaster and impact its learning outcomes.

Authors: Rebecca Kreutz. Mentors: John Chaston. Insitution: Brigham Young University. Previous studies of the relationship between Drosophila melanogaster and its microbiome have shown that the bacteria in fruit flies can have a large effect on life history strategy. Higher proportions of Acetobacter, a genus of aerobic bacteria, correlate with faster development to reproductive maturity and higher, earlier fecundity. Greater proportions of Lactobacillus, a genus of anaerobic bacteria, correlate with lower initial reproduction but longer lifespan and maintenance of somatic cells. Despite this, the determinants of a Drosophila’s microbiome are still not well understood. This study will explore the relationship between the depth of the food that flies mature in and the proportion of anaerobic bacteria found in the flies. To test this, I will prepare vials with varying amounts of food, place fly eggs in them, inoculate them with a mixture of Acetobacter and Lactobacillus, homogenize the flies that mature, and compare the proportions of bacteria across the different food depths. Greater food depth will mimic food that is more rotten, because as fruit rots it becomes softer and the fly larvae are able to burrow deeper. As the flies gain greater access to the inside of the fruit, there may be an increase in the proportion of anaerobic bacteria in the fly’s gut, due to the reduced access of the bacteria to the air. Because different food depths can simulate different fruit ages, this study may be able to establish a relationship between the season the flies mature and their microbiome.

Authors: Amanda Pay, Kaylee Anderson, Amber English, Jie Mei Chong. Mentors: Mary Alvarez. Insitution: Salt Lake Community College. Feasibility Analysis of Mixed Solvent Waste Recycling: A Green Chemistry ProjectUndergraduate Research Session, Green Chemistry submission Amanda Pay, Jai Mai Chong ACS Student Affiliate Advisors; Mary Alvarez, Ron V Valcarce, Wesley Sanders, Peter J Iles, John Flood This research project explores the first of the 12 principals of green chemistry, waste reduction through solvent recycling. Solvents are widely recognized to be a considerable environmental concern. Many industrial chemical processes generate significant amounts of hazardous and toxic chemical waste due to solvents used to facilitate chemical reactions. The reduction of their use is one of the most important aims of green chemistry. In response to this, solvent recyclers have been created which attempt to clean and purify solvents for re-use, thus reducing the amount of solvent waste a chemical company generates. In this project we analyzed before and after samples of mixed solvent containing hexanes, ethyl acetate, and other solvents processed with a CBG biotech solvent recycler. The results were used to improve recycler settings for solvent resolution and assess the effectiveness of waste reduction using such methods. Amanda Pay, Kaylee Anderson, Jie Mei Chong, Amber EnglishACS Student Affiliate Advisors; Mary Alvarez, Ron V Valcarce, Wesley Sanders, Peter Iles, John Flood

Authors: Antonio Ruiz Ayala. Mentors: John Flood. Insitution: Salt Lake Community College. Aerogels are a fascinating material that function as great insulators. Nasa has partnered with Aspen Aerogels to produce a commercially viable product that aims to tackle a variety of problems such as space shuttle insulation, space particle collection, thermal safety, and cryogenic applications. The main objective of our project is to reproduce an aerogel blanket using standard lab conditions and chemicals. We will be producing the blanket using the silica gel process. We will compare properties of durability, cost, and thermal conductivity. We plan to pinpoint a procedure that provides the most cost effective, durable, and thermally conductive material under standard lab conditions.

Authors: Katherine Christensen, Danielle Kemmer. Mentors: Ron Valcarce. Insitution: Salt Lake Community College. Phenytoin is listed by the World Health Organization as an Essential Medicine that is one of the most cost-effective anti-epileptic (AED) treatments available. However, the availability of the drug to pharmacies in developing countries is limited. 85% of those affected with epilepsy live without treatment. Low commercial production, political instabilities, and/or financial barriers prevent the availability of this anti-epileptic drug. A more efficient and cost-effective method for supplying phenytoin to local clinics and medical personnel could alleviate some of these barriers. The initial goal of this project was to refine a small-scale synthesis and purification of phenytoin using the base-catalyzed addition of urea to benzil, followed by pinacol rearrangement and recrystallization. Our procedure emphasized simple laboratory equipment found in the most basic of pharmacy laboratories. Using the International Pharmacopoeia guidelines for pharmaceutical purity, we achieved over 98% purity. Verification of pharmaceutical grade purity was achieved by High-Performance Liquid Chromatography (HPLC). Our Secondary goal was to incorporate a more efficient and accessible synthesis method. This goal was achieved through the implementation of Microwave Assisted Extraction (MAE). This project outlines the comparison between these two methods and the potential benefits and limitations of each of these methodologies.

Authors: Andrew Call. Mentors: John Chaston. Insitution: Brigham Young University. The main goal for this project is to confirm previous predictions of specific genes that may influence flies’ dietary preference to consume lactic acid bacteria (LAB). The preference of LAB is a normal phenotype that flies have, because the bacteria is essential for their gut microbiota. A previous genome-wide association study (GWAS) by another student in my mentor’s lab predicted genes that lead flies to prefer to consume diets that have live LAB. This genetically determined fly phenotype was measured by calculating the frequency and number of times the flies would choose the LAB inoculated diet over a control diet. My role will be to test if 7 genes have the influence predicted by this previous analysis. The experiment will follow close with the one previously performed by the student who predicted the genes I’m testing. I’ll be using a flyPAD which has a small arena (cage) that will hold one fly. Inside that arena are 2 wells that contain food. These wells have sensors attached to them, so each time the fly takes a sip of food, an electronic signal will be sent to a computer that keeps track of the number of sips from each well, the duration of each sip taken and time in between each sip and graph all the results taken for comparison between a control group and the test groups. I will starve 48 female mutant drosophila melanogaster for 3 hours prior to the experiment and then place them inside the flyPAD where I have previously placed 1 μl of 1:1 yeast-glucose diets in each well, however I will inoculate 0.05 μl of LAB in one of the diets. I will track each sip the flies take from each of the two foods for 1 hour. To measure accurately, there will be 2 controls also being tested. I will use flies that do not contain the genetic mutation and I will also have control arenas where both food wells do not contain LAB.I expect that any mutant that has a reduced preference for LAB-inoculated diet relative to the control diet represents a validated prediction of the previous study. In some cases, there may be no variation in preference for the control or LAB-inoculated diet, indicating a gene that does not contribute to fly preference for LAB in the diet. If none of the mutants tested validate the genome-wide association predictions, I will go back to the gene list and select one additional subset of genes to test if these influence the genetic prediction. We previously focused on genes that had multiple hits in the previous experiment, regardless of how significant the predictions were. In this second round, I will simply select the ten most significant remaining genes. Overall, this project will help confirm the previously selected genes with their association with a diet preference of lactic acid bacteria, improving the gut microbiota of Drosophila melanogaster.

Authors: Daniel Luke Isemonger, Jacob Cecil, Noah Moffat, Nathaniel Horne, Jordan Yorgason. Mentors: Jordan Yorgason. Insitution: Brigham Young University. Anxiety disorders are increasingly prevalent, and can be exacerbated by drug use, which can contribute to further drug seeking behavior. The underlying neural mechanisms of this relationship are not fully understood, but dopamine transmission is thought to play a key role. The goal of this project is to develop innovative tools to elucidate the role of dopamine and drugs of abuse on anxiety-like behavior and its relation to drug seeking in mice. Specifically, dopamine sensors and 2-photon microscopy via implanted endoscopic lenses, will be used to image dopamine dynamics in the NAcc of behaving mice while they are engaging in a virtual environment (VR) mimicking drug exposure and stress conditions. Using the simulation, mice are exposed to fearful stimuli, which will be related to behavioral responses (movement distance, speed, direction) and extracellular release events. By combining these techniques, we will be able to gain a deeper understanding of how dopamine terminal signaling contributes to drug seeking. This research has the potential to shed new light on the neural relationship between drugs of abuse and anxiety. This could help to inform the development of novel drugs and treatments for this disorder.

Authors: Davis Wing. Mentors: Larry Howell. Insitution: Brigham Young University. Origami-based mechanisms provide the opportunity for constructing highly compact systems for deployment in space and other applications. One pattern that shows great promise in this field is the flasher pattern, which unfurls a flat, rotationally symmetric arrangement of panels from a cylindrical spiral. The fold pattern is complex, and in attempting to better understand how it can be made from non-zero-thickness materials, and desiring a model which could be easily 3D printed, the following research was developed.As a result of this research, a flasher model was constructed which folds out to a deployed state that has almost triple the projected area of the stowed state. The idealized flasher was designed using Tessellatica, a program developed by Dr. Robert Lang. Turning the two-dimensional output from Tessellatica into a structure suitable for 3D printing required beginning with the stowed form of the flasher and thickening it across all panels. Fold lines were preserved at zero-thickness to ensure correct kinematics, and the bottom face of the model was constrained to be flat. Initial attempts at fulfilling these design requirements made apparent the need for more constraints, such as constraining the thicknesses of different panel sections to be proportional to their distance from the center and ensuring that the final unfolded state involved no overhangs.The final step in designing the model involved the implementation of living hinges. In a 3D printed design, living hinges offer mobility without assembly at the cost of being potential failure points, depending on print line orientations. Any hinge built from paths running in line with that hinge would immediately fail upon bending. The solution to this problem of parallelism was to use two layers with 0.1mm thickness on the bottom of the model, at 90° angles to one another. This allowed for all of the hinges, regardless of orientation, to be able to have the strength necessary to form a workable part.This research advances the manufacturability of zero-thickness origami patterns by providing models capable of being conveniently manufactured by anyone with a 3D printer. Specifically, it demonstrates a method for developing a zero-thickness model into a foldable structure of non-negligible thickness, and how to use default 3D slicer settings to build robust living hinges. The models have been uploaded on two popular file-sharing websites, Thingiverse and Printables, and have been downloaded hundreds of times.

Authors: Lais Oliveira, Corinne Jackson. Mentors: Spencer Magleby. Insitution: Brigham Young University. Space applications, such as LiDAR telescopes and reflectarray antennas, often need large arrays that deploy to meet specific mission requirements. These deployable arrays transform from a compact stowed volume to a large deployed surface area, and it is crucial for them to be light and compact with a high functional area. In this project we are improving the ratio with research in deployment by investigating the deployment of various array designs developed by the Compliant Mechanisms Research lab, intended for space applications. We obtain relative metrics, including the deployment energy curves for each design, so designs can be compared for specific applications. Specifically, we aim to assess each design’s compatibility with the aim to minimize volume and maximize surface area. This research will allow us to determine which deployment techniques can be combined, or design for external structures to aid in deployment, if needed, to create an efficient deployable array.

Authors: Gabe Snow, Joseph Ward. Mentors: Cammy Peterson. Insitution: Brigham Young University. Unmanned aerial system (UAS) research is fast becoming an important area of development in commercial and military applications. As UAS become more prevalent commercially and recreationally, there is a growing need to accurately track large numbers of these aircraft. This is particularly important in compact urban environments where potential flight paths are limited. Our research team at BYU is developing the Local Air Traffic Information System (LATIS), allowing multiple radar ground stations to communicate and track UAS across multiple fields of view. One major component of this system is Recursive Random Sample Consensus (R-RANSAC)---an algorithm used to correlate and combine the data from multiple sources. The process a ground station uses for calibration is to collect Real-Time Kinematic Global Positioning System (RTK GPS) coordinates of a friendly UAS as it passes through the field of view of a station's radar. R-RANSAC is then used to a) filter noise from the raw radar data, and b) identify "tracks," or paths which UAS have followed, using temporal and spatial proximity. The Orthogonal Procrustes Problem then provides a method to rotate data from the local radar frame to the global frame. These steps can be done live or with recorded data. Following this, the calibrated radar uses R-RANSAC to filter data and identify passing UAS with high accuracy. Our contributions to the project are developing communication software, refining R-RANSAC, and helping to implement the whole system in flight experiments. We are continuing to work on analyzing the data taken from flight tests and publish the improvements of this system compared to existing methods.

Authors: Mohamed Askar, Matthew Roberts, Jeremy Matney, Andrew Larsen, Edwin Cansaya Sanchez. Mentors: Mohamed Askar, Matthew Roberts. Insitution: Southern Utah University. Stormwater infrastructures in the U.S. are aging and deteriorating, with most municipalities historically treating stormwater runoff or drainage problems during an emergency or structural failure. What if we could address such issues before they became problematic? Our main objective is to help decision-makers deal effectively with long-term control measures of the budget-limited, ambiguous, and inconsistently applied operation and maintenance of stormwater infrastructures. To this end, an innovative Five-Dimensional Assessment Model (5D-SAM) for the operation and maintenance of stormwater control measures will be developed and tested in the economically disadvantaged rural community of Cedar City, Utah. The model’s strategic approach will employ a prioritized list to create innovative green stormwater infrastructure solutions (clean-energy technologies) for sustainable urban development. The proposed 5D-SAM model includes research on its broader impacts, with a theoretical focus on the nexus of stormwater control measures and design to enhance urban sustainability and resilience. This focus is on the translational and transdisciplinary link between the operation and maintenance of stormwater research outcomes in Cedar City. Performance indicators of the stormwater system will be designed to assess five conditions: assets, functionality, time-effectiveness, cost-effectiveness, and environmental and social impact. 5D-SAM will calculate the performance/health index of the stormwater infrastructure, predict the future state, manage the quantity, and improve stormwater runoff quality. The built-in GIS database will aim to preserve the natural features and functions of stormwater infrastructures while providing a list of cost-effective and environmentally friendly alternatives if a distressed stormwater system is better off demolished, repaired, rehabilitated, or retrofitted. The model benefits society as it applies to other water infrastructure systems, including groundwater wells, dams, reservoirs, treatment facilities, sewer lines, flood prevention, and hydropower. Finally, the proposed research is a valuable and growing resource for students, faculty, urban researchers/practitioners worldwide, and the general public.

Authors: Lauren Ford, Joel Woolley, Ryan Powers, Paulina Medellin, Hillary Wadsworth, Jordan Yorgason. Mentors: Jordan Yorgason. Insitution: Brigham Young University. Women prescribed psychostimulants have self-reported changes in drug efficacy that coincide with menstrual cycling. Furthermore, cocaine and amphetamine effects on dopamine (DA) transmission are more potent in female rodents, an effect that has been linked to cycling hormone levels. However, it is unknown if changes to DA transmission vary by specific psychostimulant, and striatal DA transmission has not yet been well characterized across the estrous cycle. The present study considers dopamine release and reuptake kinetics across various stages of the estrous cycle in the nucleus accumbens (NAc), a key region for dopamine-mediated learning. The effects of cocaine, methamphetamine, and methylphenidate on female dopamine transmission are examined using slice voltammetry. Our data shows that compared to a male control group, baseline (pre-drug) dopamine release in the NAc was lower in females overall, but not at all estrous stages. Applying increasing concentrations of cocaine or methylphenidate revealed similar patterns of enhanced, then diminished release in all mice. Methamphetamine decreased NAc dopamine release similarly in both males and females, but females in estrus were more affected than males, and those in met/diestrus less. Methamphetamine also slowed dopamine uptake in all mice, and at lower concentrations than cocaine or methylphenidate. We find minimal sex differences between cocaine and methylphenidate effects in the NAc, suggesting that the underlying cause of their observed behavioral sex differences may be specific to other striatal regions. On the other hand, methamphetamine-induced DA release fluctuates distinctly with the estrous cycle and peaks when estrogen levels are at their highest, indicating that estrogen and methamphetamine mechanisms share a target in NAc DA terminals that cocaine and methylphenidate do not. This work refines our understanding of DA transmission in females and indicates potential future directions for understanding female psychostimulant abuse.

Authors: Allison Gabbitas, Kaitlyn Allen, Gene Ahlborn, Shintaro Pang. Mentors: Shintaro Pang. Insitution: Brigham Young University. Mycotoxin contamination on food and feed can have deleterious effect on human and animal health. Agricultural crops may contain one or more mycotoxin compounds; therefore, a good multiplex detection method is desirable to ensure food safety. In this study, we developed a rapid method using label-free surface-enhanced Raman spectroscopy (SERS) to simultaneously detect three common types of mycotoxins found on corn, namely aflatoxin B1 (AFB1), zearalenone (ZEN), and ochratoxin A (OTA). The intrinsic chemical fingerprint from each mycotoxin was characterized by their unique Raman spectra, enabling clear discrimination between them. The limit of detection (LOD) of AFB1, ZEN, and OTA on corn were 10 ppb (32 nM), 20 ppb (64 nM), and 100 ppb (248 nM), respectively. Multivariate statistical analysis was used to predict concentrations of AFB1, ZEN, and OTA up to 1.5 ppm (4.8 µM) based on the SERS spectra of known concentrations, resulting in a correlation coefficient of 0.74, 0.89, and 0.72, respectively. The sampling time was less than 30 min per sample. The application of label-free SERS and multivariate analysis is a promising method for rapid and simultaneous detection of mycotoxins in corn and may be extended to other types of mycotoxins and crops.