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Full-Text Articles in Entire DC Network
The Influence Of Sensory Modality On Aesthetic Judgments Of Poetry, Jessica Frame, Kendra Mehl
The Influence Of Sensory Modality On Aesthetic Judgments Of Poetry, Jessica Frame, Kendra Mehl
Undergraduate Research Conference at Missouri S&T
Previous research has shown that vividness of evoked imagery is the strongest contributor to aesthetic pleasure for poetry. However, it is 19 unknown whether modality of the poem has an effect on the relationship between vividness and aesthetic appeal, as past work has only used written poems. In this study we want to evaluate rating of vividness, valence, arousal, and aesthetic appeal based on the modality in which poems are presented (listening only, reading only, or combined). Participants were randomly assigned to one of the three modalities: text-only (N=81 ), audio-only (N=74), or combined audio/text (N=78). Our results showed that …
Comparing Autobiographical Memories Evoked By Different Sensory Cues For Younger And Older Adults, Akira Durbin
Comparing Autobiographical Memories Evoked By Different Sensory Cues For Younger And Older Adults, Akira Durbin
Undergraduate Research Conference at Missouri S&T
Music has the power to take us back in time. Previous research indicates that music is a potent autobiographical memory cue, and that recall often happens with no effort on the part of the listener. Our research is also informed by the reminiscence bump phenomenon, which describes the tendency of older adults to recall autobiographical memories formed from the ages of 18-35. Informed by this phenomenon, we presented older participants with stimuli that were relevant during their youth. We displayed different stimuli to younger and older adult participants on a desktop computer. The stimuli we presented were popular music clips, …
The Search For The Akwamu People In The Americas, 1729-1733, Ben Brown, Justin Pope
The Search For The Akwamu People In The Americas, 1729-1733, Ben Brown, Justin Pope
Undergraduate Research Conference at Missouri S&T
This Poster presentation attempts to trace the journey of one nation of Africans into the Americas. In 1729, the Akwamu Empire, in modern day Ghana, West Africa, suffered a terrible collapse. Rival African armies enslaved thousands of Akwamu subjects and sold them to European slavers on the Gold Coast. This nation later led the biggest island wide slave revolt prior to the age of revolution in the Americas. Using primary and secondary resources such as the "Transatlantic Slave Trade Database," we will attempt to identify the European slave ships that purchased enslaved Akwamu people and trace their journey into the …
Gender And The Billboard Top 40 Charts Between 1958 And 2023, Brileigh Cates, Justin W. Pope
Gender And The Billboard Top 40 Charts Between 1958 And 2023, Brileigh Cates, Justin W. Pope
Undergraduate Research Conference at Missouri S&T
Is there an inherent bias towards male artists in the music industry? Evidence has been shown in previous studies, the most recent being from 2017, that there may be bias towards male artists appearing in Billboard Magazine s Hot 100 list. This study not only updates previous data to include 2017 through 2023, but also looks at the top 40 charts on a week-by-week bias as opposed to the year-end charts that other studies used for their data. We coded each song so as to indicate the gender of the artist(s) as well as whether or not the artists appeared …
The Aerodynamic Levitator Project, Noah Brown
The Aerodynamic Levitator Project, Noah Brown
Undergraduate Research Conference at Missouri S&T
After the development and successful demonstration of a hyperbaric aerodynamic levitator, work to redesign the nozzle was proposed for increasing levitation height and stability. The goal of this eight-week summer research project was to create a CFD model to aid in the optimization of this nozzle. This was to be accomplished by using ANSYS Fluent to first replicate experimental data found in a research paper to assess its validity. Next, the model was to be modified for use on the levitator project and then used to analyze the current nozzle design. Afterwards, Steps will be taken to make alterations to …
Supersonic Wind Tunnel Modeling, Noah Cain, Davide Vigano
Supersonic Wind Tunnel Modeling, Noah Cain, Davide Vigano
Undergraduate Research Conference at Missouri S&T
Supersonic wind tunnels are essential for high-speed aerodynamics research, allowing studies ranging from fundamental flow physics to the advancement of supersonic transport. This work presents a physics-based model developed for the Missouri S& T supersonic wind tunnel, a blow-down facility employing a converging-diverging nozzle to achieve high-speed flow. The model accounts for real gas effects, including Joule-Thomson phenomena, as well as predictions of pressure losses and heat transfer. Implemented in Matlab, the model's accuracy was validated through comparison with experimental measurements, demonstrating excellent agreement. This research contributes to the reliable prediction of supersonic wind tunnel performance, thus advancing the understanding …
Organic Contaminant Effects On The Mac Of Water, Jordan Hartfield
Organic Contaminant Effects On The Mac Of Water, Jordan Hartfield
Undergraduate Research Conference at Missouri S&T
The evaporation or condensation rate of a liquid surface is directly proportional to the mass accommodation coefficient (MAC). Since the MAC is difficult, if not impossible, to experimentally measure, molecular dynamics (MD) simulations have been employed to study it. Experimental studies have shown that airborne hydrocarbon contaminants from a variety of sources can adsorb on liquid surfaces and significantly alter the surface properties. We have therefore studied the effects of organic surface contaminants, which are immiscible with water, on the MAC using equilibrium and nonequilibrium MD simulations. Our equilibrium MD simulation results show that the MAC decreases linearly with increases …
Tnt Equivalence: Measuring, Validating, And Appending Binary Energetics To The Literature, Gracie Mae James, Rachel Bauer, Alexander Douglas, Catherine E. Johnson
Tnt Equivalence: Measuring, Validating, And Appending Binary Energetics To The Literature, Gracie Mae James, Rachel Bauer, Alexander Douglas, Catherine E. Johnson
Undergraduate Research Conference at Missouri S&T
TNT equivalency is a standard used to measure and quantify the effects of energetic materials. Using these equivalencies, the safety factors for minimum distances and storage of explosives are determined. Having a known TNT equivalence of energetic materials also helps estimate potential blast damage and risks for individuals. The TNT equivalencies for numerous energetic materials, such as binaries, have no published values, but are regularly used in industry, military, and research testing. To determine TNT equivalence, three tests were performed: 1) a plate dent test for direct dent comparison, 2) air blast tests to measure air overpressure and calculate impulse, …
Ionizable Lipid Nanoparticles Fabrication For Gene Delivery, Noah Sparks, Lei Xu, Hu Yang
Ionizable Lipid Nanoparticles Fabrication For Gene Delivery, Noah Sparks, Lei Xu, Hu Yang
Undergraduate Research Conference at Missouri S&T
In this project ionizable lipids were analyzed for their efficacy in delivery of mRNA in multiple metastatic lung cancer cells. Different ionizable lipids with their molar ratio in making the LNPs were analyzed in order to enhance the nucleic acid delivery to cytoplasm. Phospholipids also play a role in targeting efficacy of the LNPs to the lung cells. Different combination of ionizable lipids with multiple phospholipids were studied for physical characterization and in-vitro transcription efficiency. Transcription efficiency was then quantified using flow cytometry and optimal particles for transcription were noted.
Data Driven Enhanced Vsg Control For Microgrids, Sophia A. Strathman, Oroghene Oboreh-Snapps, Jonathan W. Kimball
Data Driven Enhanced Vsg Control For Microgrids, Sophia A. Strathman, Oroghene Oboreh-Snapps, Jonathan W. Kimball
Undergraduate Research Conference at Missouri S&T
This research explores the fusion of deep reinforcement learning and virtual synchronous generator control in a bid to enhance microgrid operations. Microgrids typically consist of multiple inverter-based distributed generators (IBDGs) connected in parallel to mismatched line impedances. This results in unequal reactive power sharing which negatively impacts the performance of IBDGs in microgrids. To achieve enhanced control, a solution utilizing deep reinforcement learning (DRL) is proposed. DRL agents are trained to control variables in each IBDG using a well-designed reward function capable of achieving the following objectives: 1.) ensure output voltage of each IBDG remains within the designated operating boundary …
Phytoremediation Of Nonpoint Source Pollution, Tylor Cheatham
Phytoremediation Of Nonpoint Source Pollution, Tylor Cheatham
Undergraduate Research Conference at Missouri S&T
Stormwater can bring high concentrations of nutrients into urban ponds resulting in eutrophic conditions and subsequent algal blooms. These 91 blooms can lead to hypoxic water that will ultimately cause fish deaths and loss of recreation. Often, the majority of urban stormwater flows into local ponds through an inlet, which provides a target area for nutrient removal methods. One method being explored by researchers is the use of floating treatment wetlands (FTWs). FTWs are floating mats with plants anchored to them, allowing the roots to be suspended in the water column for nutrient removal. Our previous research focused on optimizing …
Ta Theoretical Framework For Comparing Rlhf Method, Matthew Dominicis
Ta Theoretical Framework For Comparing Rlhf Method, Matthew Dominicis
Undergraduate Research Conference at Missouri S&T
Reinforcement Learning from Human Feedback (RLHF) can be used as a means to align Al agents and Large Language Models (LLM) to better represent human expectations. There is a myriad of RLHF methods that exist, however it is difficult to benchmark and compare such methods in terms of alignment, training cost, data collection cost, and other metrics. This project aims to create a robust classification for different RLHF methods from a theoretical point of view. Additionally, this project will attempt to propose bounds for the degree of influence on LLMs that stems from human feedback. Open source LLMs will be …
Tnt Equivalence Of Binary Energetics, Gracie Mae James
Tnt Equivalence Of Binary Energetics, Gracie Mae James
Undergraduate Research Conference at Missouri S&T
TNT equivalency is a standard used to measure and quantify the effects of energetic materials. Using these equivalencies, the safety factors for minimum distances and storage of explosives are determined. Having a known TNT equivalence of energetic materials also helps estimate potential blast damage and risks for individuals. The TNT equivalencies for numerous energetic materials, such as binaries, have no published values, but are regularly used in industry, military, and research testing. To determine TNT equivalence, three tests will be performed: 1) a plate dent test, 2) air blast tests to measure air overpressure and calculate impulse, and 3) velocity …
Co2 Pricing Impact On Partially Regulated Market, Love Gami
Co2 Pricing Impact On Partially Regulated Market, Love Gami
Undergraduate Research Conference at Missouri S&T
With climate change becoming a growing concern, carbon trading has gained attention as a key solution to reducing carbon emissions. However, this raises a concern about whether polluters pass the cost of carbon to electricity prices. This study aims to assess the impact of CO2 pricing on electricity prices in the PJM market where some areas are regulated by carbon trading while others are not. Our findings reveal a significant impact of CO2 prices across all regulated areas, encompassing both real-time and day-ahead markets. Moreover, the impact extends to non-regulated areas, indicating a spillover effect within the PJM market. Interestingly, …
Silent Bystanders Facing Bias. Is Silence Always Harmful, Sophie Firle
Silent Bystanders Facing Bias. Is Silence Always Harmful, Sophie Firle
Undergraduate Research Conference at Missouri S&T
In STEM, women face bias that lowers their sense of belonging, identity safety, and self-esteem. These biases often occur in daily interactions with male peers in STEM, such as subtly sexist comments that doubt women's competence in STEM. A previous study that we conduction titles "Effects of Ally Confrontation on Target Outcomes" tested whether a subtly sexist comment that was confronted by a male ally would help increase women's sense of belonging, identity safety, and self-esteem relative to when a male bystander remained silent and did not confront the comment. We found that confrontation does help women feel better than …
Heat's Effect On Asphalt Binders Using Nmr, Kaitlin Miles
Heat's Effect On Asphalt Binders Using Nmr, Kaitlin Miles
Undergraduate Research Conference at Missouri S&T
Nuclear Magnetic Resonance (NMR) spectroscopy is a well-known analytical technique that uses the excitation of nuclear spins for solving chemical structures and conformations. Relaxometry is a special field of NMR spectroscopy where information is gained about interactions of 100 nuclear spins with their molecular surroundings. The deterioration of asphalt is a major infrastructure problem, and its rejuvenation back toward its original virgin state is an important field of research and development. The current asphalt industry relies on visual inspection on site and invasive or destructive physical methods to assess emerging asphalt failures. This study examines the chemical changes environmental factors …
Amorphous Transparent Oxide P-Type Semiconductors, Joshua Santy
Amorphous Transparent Oxide P-Type Semiconductors, Joshua Santy
Undergraduate Research Conference at Missouri S&T
For decades, n-type transparent conducting oxides (TCOs) have been extensively studied and applied in various energy and optoelectronic devices. However, the search for high-performance p-type TCOs, crucial for transparent p-n junctions and next-generation microelectronics - remains uncertain. The most studied p-type TCOs (e.g ., Cu2O-based delafossite family) exhibit the carrier mobilities (<1 cm2Ns) that are much smaller than those in typical n-type TCOs (10-100 cm2Ns). In contrast to the Cu-based layered materials with a relatively flat Cu d10 valence band (resulting in the hole effective mass of 2.5me), Sn2+ in SnO has s2 electronic configuration giving rise to a significantly more dispersed valence band (the hole effective mass is 0.5me) and, hence, to higher hole mobility. Currently, the practical use of SnO is limited due to (i) stability issues of SnO associated with tin preference for valence 4 (as in SnO2, a well-known n-type TCO); (ii) small band gap ~0.7 eV; and (iii) anisotropic hole effective mass in the crystalline phase. Further search for p-type TCOs should involve amorphous phases of SnO-based multi-cation materials where metal composition helps stabilize Sn2+ and open the band gap, whereas the disordered structure is expected to result in uniform isotropic electronic properties and low scattering due to absence of grain boundaries.
Thermogravimetric Analysis Of High & Low Alloy Steel, Clark Nguyen
Thermogravimetric Analysis Of High & Low Alloy Steel, Clark Nguyen
Undergraduate Research Conference at Missouri S&T
Oxidation phenomena play a critical role in high temperature metallurgical processing and the performance during life cycle of components made of both high and low alloy steels. Therefore, the development of a precise experimental methodology to quantify oxidation processes is critically important. This report summarizes my experimental study of the oxidation behavior of high and low alloy steel, including kinetics of surface oxide layer formation and spallation. The focus of study was in determining the complex interactions between alloying elements in steel matrix and oxidation environment, composition and surface morphology of formed oxides. This report will also explore how the …
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Undergraduate Research Conference at Missouri S&T
Applications of machine learning (ML) or artificial intelligence (Al) to problems in astrophysics and cosmology have recently entered a golden era. In response, we have updated two of our recent ML/Al efforts that contribute to galaxy surveys whose main scientific target is to reveal the nature of the Comsic Acceleration or Dark Energy. We first revised our effort to infer cosmological information beyond the survey geometry using Graph Neural Networks (GNNs) to take advantage of supercomputing resources on campus. We then updated our methods for galaxy target selection in the Subaru Prime Focus Spectrograph (PFS) survey with modern reinforcement learning …
Quantifying Asphalt Binder Uv Effects With Relaxometry, Rosalee Brown
Quantifying Asphalt Binder Uv Effects With Relaxometry, Rosalee Brown
Undergraduate Research Conference at Missouri S&T
Asphalt deterioration involves many physical and chemical changes caused by environmental factors such as automotive strain, extreme heat, and UV exposure. Asphalt binder assessment in the industry is currently based on structurally destructive testing methods and tests of physical performance without accounting for chemical structure. An emerging evaluation of asphalt binder uses relaxometry, a field of nuclear magnetic resonance (NMR) spectroscopy, to directly observe how asphalt binder is changed by causes of deterioration such as UV exposure. NMR relaxometry explores nuclear spins' interactions with their environment. This noninvasive method can provide a detailed view into the chemical environment of virgin …
Water Quality Profiles In Two Rolla Ponds: Implications For Nutrient Management, Tylor Cheatham
Water Quality Profiles In Two Rolla Ponds: Implications For Nutrient Management, Tylor Cheatham
Undergraduate Research Conference at Missouri S&T
Eutrophication of aquatic ecosystems is a growing global issue due to anthropogenic inputs. One of the main issues associated with eutrophication is fish death. Eutrophic waters can lead to algal blooms, resulting in hypoxic conditions where there is not enough oxygen to support the oxygen-breathing organisms like fish. This can happen in lakes or where rivers meet the ocean. These hypoxic conditions are a concern for lake managers and people who make a living fishing in waters that are now experiencing fish death. One method to target the oxygen levels in lakes is adding aerators. Because of how dynamic ecosystems …
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Enhancing Galaxy Surveys With Machine Learning, Steven Karst
Undergraduate Research Conference at Missouri S&T
Applications of machine learning (ML) or artificial intelligence (AI) to problems in astrophysics and cosmology have recently entered a golden era. In response, we have updated two of our recent ML/ AI efforts that contribute to galaxy surveys whose main scientific target is to reveal the nature of the Cosmic Acceleration or Dark Energy. We first revised our effort to infer cosmological information beyond the survey geometry using Graph Neural Networks (GNN) to take advantage of supercomputing resources on campus. We then updated our reinforcement learning methods for galaxy target selection in the Subaru Prime Focus Spectrograph (PFS) survey with …
Visualization Of Ultracold Atomic Samples, Samuel Schrader
Visualization Of Ultracold Atomic Samples, Samuel Schrader
Undergraduate Research Conference at Missouri S&T
Laser cooling techniques have evolved into a powerful experimental tool to perform precision spectroscopy (for instance, atomic clocks), study fundamental few-body dynamics, and create well-controlled systems for quantum information applications. When the atoms are captured, it is critical to analyze the laser-cooled atomic samples carefully and characterize their properties, such as density, temperature, population distribution, etc., in order to perform these advanced tasks. A straightforward way to measure these properties is detecting the visible optical photons emitted from the sample with a camera. Throughout this project, I have written and developed a computer application that controls a camera and extracts …
Effects Of Reproduction On Senescence In Local Species, Nathan Smith
Effects Of Reproduction On Senescence In Local Species, Nathan Smith
Undergraduate Research Conference at Missouri S&T
Understanding the impact of reproduction on the aging process within species populations remains an ongoing challenge in ecological and evolutionary research. In this study, we aim to clarify the relationship between reproduction and senescence using agent-based modeling using wild species data sets. Our objectives include investigating how variations in reproductive rates influence the lifespan and aging trajectories of individuals within populations, as well as identifying potential mechanisms underlying these effects. We will employ agent-based modeling to simulate populations and explore the dynamics of reproduction and senescence using publicly available datasets of local wild species. By manipulating parameters related to reproductive …
Numerical Studies On Bose-Einstein Condensates, Megan Benkendorf
Numerical Studies On Bose-Einstein Condensates, Megan Benkendorf
Undergraduate Research Conference at Missouri S&T
Bose-Einstein condensate (BEC) is a state of matter near absolute zero temperature for which all atoms lose their individual properties and condense into a macroscopic coherent "super-wave". The superfluidity of BEC has been the focus of active research since the first experimental realization of BEC in 1995. The recent launch of the Cold Atom Laboratory to the space station on May 21, 2018, has once again drawn spotlights to these fascinating properties of BEC. In this project, we will carry out numerical studies to understand the behavior of exciton-polariton BECs. A modified Gross-Pitaevskii equation is used to model the dynamics …
Effect Of Heat On Virgin And Uv-Aged Asphalt Binders Determined By Nuclear Magnetic Resonance Relaxometry, Kaitlin Miles
Effect Of Heat On Virgin And Uv-Aged Asphalt Binders Determined By Nuclear Magnetic Resonance Relaxometry, Kaitlin Miles
Undergraduate Research Conference at Missouri S&T
Nuclear Magnetic Resonance (NMR) spectroscopy is a well-known analytical technique that uses the excitation of nuclear spins for solving chemical structures and conformations. Relaxometry is a special field of NMR spectroscopy where information is gained about interactions of nuclear spins with their molecular surroundings. The deterioration of asphalt is a major infrastructure problem, and its rejuvenation back toward its original virgin state is an important field of research and development. The current asphalt industry relies on visual inspection on site and invasive or destructive physical methods to assess emerging asphalt failures. This study examines the chemical changes environmental factors have …
Experiential Learning In Rf Circuit Design, Benjamin Cuebas
Experiential Learning In Rf Circuit Design, Benjamin Cuebas
Undergraduate Research Conference at Missouri S&T
This research project will explore the intricacies of Radio Frequency (RF) circuitry design, demonstrating acquired insights by constructing a discrete RF amplifier with digital input attenuation control. The study will delve into a multitude of RF topics such as serial communication, digital data storage, transmission line theory, impedance matching, network parameters, amplifier classes, and Smith chart analysis. The RF amplifier will be designed to have an approximately 15dB input gain/attenuation digitally controlled by an external microcontroller. The device will operate at 50 MHz, in the VHF frequency range, with an input and output impedance of 50 . A network analyzer …
Dynamics Of Laboratory Nematode Populations, Erik Bergstrom, Andrea Scharf
Dynamics Of Laboratory Nematode Populations, Erik Bergstrom, Andrea Scharf
Undergraduate Research Conference at Missouri S&T
Understanding how populations fluctuate is important for understanding how evolutionary pressures have shaped the life histories of species, such as reproductive patterns and aging. A laboratory ecosystem consisting of Caenorhabditis elegans and Escherichia coli and wormPOP, a simulation of this laboratory ecosystem, developed by Scharf and colleagues (Scharf et al., 2022) provides an opportunity to better understand population dynamics by tracking individual simulated worms and computing the emergent population dynamics. However, the output data consist of curves with peaks and troughs that are challenging to analyze and that were hypothesized to fit the mathematical definition of chaotic behavior. This project …
Stripe Order, Impurities, And Symmetry Breaking In A 3-Dimensional Model Of A Diluted Frustrated Magnet, James Elverson, Thomas Vojta
Stripe Order, Impurities, And Symmetry Breaking In A 3-Dimensional Model Of A Diluted Frustrated Magnet, James Elverson, Thomas Vojta
Undergraduate Research Conference at Missouri S&T
Many quantum materials feature low-temperature phases that break realspace symmetries in addition to spin or charge symmetries. Examples include stripe phases in cuprate superconductors, nematic phases in iron pnictides, and spin-density waves in magnetic materials. Realistic materials always contain some quenched disorder or randomness. To understand the effect of disorder on phases that break real-space symmetries, we investigate the influence of spinless impurities on a frustrated 3-dimensional J 1-J2 Ising model through Monte Carlo simulations. Spin less impurities generate random field type disorder for the spin-density wave (stripe) phase in this system. Whereas the long-range stripe order is destroyed by …
Statistical Modeling Of Fruit Fly Based On Sleep Characteristics, Landon Oelschlaeger, Gayla R. Olbricht, V. A. Samaranayake, Matthew S. Thimgan
Statistical Modeling Of Fruit Fly Based On Sleep Characteristics, Landon Oelschlaeger, Gayla R. Olbricht, V. A. Samaranayake, Matthew S. Thimgan
Undergraduate Research Conference at Missouri S&T
In this research, a statistical model was developed to predict the lifespan of the fruit fly, Drosophila melanogaster, based on the sleep characteristics. Previously, a model was developed using variables based on the transition probabilities of a fly staying awake or asleep from minute-to-minute. This research builds on the previous work by incorporating additional variables based on traditional sleep metrics along with the transition probability variables into the modeling process. A method was first developed to automate the generation of the traditional sleep metrics, enabling them to be included in the model. Forward stepwise selection was used to determine an …