I examined the effects of disrupting verbal mediation in a task that models the effects of verbally presented information on conceptual behavior. The experiment was done asynchronously by sending participants a SuperLab 6.0 software experiment, requesting a screen recording using Zoom, and acquiring demographic, consent, and exit interview information using Qualtrics. Sixty-four participants were randomly assigned to four conditions. The tact-intraverbal (TI) groups first learned to match visual stimuli with verbal labels, and then to associate pairs of verbal labels. The intraverbal-tact (IT) groups received the opposite sequence. After training, all groups were tested for new relationships between the visual stimuli. One TI group and one IT group were given an additional verbal task during the test, which was predicted to disrupt the performance more in the IT than the TI condition, due to IT participants being more reliant on solving the task verbally. No significant differences in accuracy or reaction time were noted between groups. However, only 47% of those in the IT-V group and 13% of those in the TI-V group actually performed the additional verbal task. The experiment should be repeated through real-time video calls or in person, so that participant instruction-following can be monitored and intervened on.

COVID-19, an unprecedented virus that shifted into a global pandemic almost a year ago, has greatly impacted the human way of life. Recent research, however, has shown that in the United States discrimination towards people of Asian descent has risen dramatically. From a terror management perspective, this heightened discrimination might be due to a defense mechanism to buffer death-anxiety through enhancing one’s cultural belief. The current study evaluates whether priming thoughts of COVID-19 leads to heightened death-related thoughts and increased racism towards Asians (i.e., worldview defense). Data was collected from 175 Amazon Mechanical Turk (MTurk) workers. Our findings suggest that COVID did not influence attitudes toward Asians and international communication through increased mortality awareness. The current work will discuss possible limitations and directions for further study.

The United States is an increasingly diverse country with respect to the number of languages spoken (Shin & Ortman, 2011). With this increase, many adults experience benefits in their personal or professional lives from learning to read in a new language. However, learning to read fluently is increasingly difficult in adulthood (Abadzi, 1996; 2012) Previous research has shown a general bilingual advantage for novel word learning, such that individuals who are fluently bilingual more easily acquire additional languages (Kaushanskaya & Marian, 2009). Given that the reading and language networks largely overlap (Monzalvo and Dehaene-Lambertz, 2013; Stevens et al., 2017; Wang et al., 2020), we hypothesized that reading fluently in multiple print systems (multiscripturalism) may provide a similar advantage. Thus, we investigated the effect of multiscripturalism on novel letter-sound learning in young adults. Data were collected from young adults at TCU and the larger DFW community. Participants were screened for eligibility through a background questionnaire and a short assessment session conducted over Zoom. Eligible participants completed a 30-minute training session to learn eight Hebrew consonants and vowels. Immediately after training and seven days later, participants completed multiple reading measures to assess letter-sound learning performance (Thakkar et al., 2020). We will present our findings from the first wave of data collection, including the impact of baseline reading on learning and whether existing print systems impacted learning and retention of novel letters. We will also discuss implications for this work on literacy education policies and impacts on those with poor reading skills.

Bacillus anthracis is a bacterium that causes the deadly disease anthrax and has been used in bioterrorism. We are looking to investigate what genes within the chromosomal DNA contribute to the virulence of Bacillus anthracis. In this study, we screened a transposon library of B. anthracis ‘knock-out’ mutants for susceptibility to reactive oxygen species used by the immune system. A broad in vitro hydrogen peroxide screen was performed on 1,953 transposon mutants, and after several rounds of in vitro screening, 40 mutants were identified as consistently attenuated in the presence of hydrogen peroxide. Four of these mutants were then tested in the invertebrate model, Galleria mellonella, to assess virulence in an animal model. Mutants with phenotypes that repeated in both assays were prioritized for characterization. The location of the transposon insertion in one of the mutants was successfully identified. Identifying these novel genes contributing to the bacterium’s virulence will provide a better understanding of B. anthracis pathogenesis and may provide potential targets for combatting anthrax.

The bacterium Bacillus anthracis, the causative agent for the disease anthrax, possesses two plasmids that contribute significantly to virulence. Besides plasmids, certain chromosomal genes also contribute. In previous studies, our lab discovered that the chromosomally encoded ClpX gene is essential for virulence in B. anthracis. ClpX is an ATPase that is part of the ClpXP proteasome found in many bacteria. Loss of ClpX in B. anthracis Sterne results in increased susceptibility to cell wall targeting antibiotics like penicillin and daptomycin. However, the mechanism behind ClpX’s role in antibiotic resistance is not understood as it is likely that multiple pathways are affected by the loss of this global protease. We recently conducted a microarray to find which genes are up or down regulated in ClpX compared to wild-type (WT) B. anthracis. 119 genes had disrupted regulation and several of these had been connected to cell-wall active antibiotics like penicillin. In this study, we focused on three of these genes: MsrA, GlpF, and SigM. We confirmed the microarray results and showed that MsrA, GlpF, and SigM gene expression in our ClpX strains significantly differs from the wild-type B. anthracis Sterne via QPCR. Insertional knockout mutants were made for GlpF and SigM to test whether these genes were necessary for antibiotic resistance. We are currently testing these mutants in penicillin and daptomycin to assess their phenotypes. We found that loss of SigM results in increased susceptibility to penicillin and are currently studying the effect of daptomycin on SigM and GlpF. We will test the virulence of both mutants in our invertebrate animal model G. mellonella. This will hopefully provide better understanding on the mechanism behind ClpX’s antibiotic resistance.

Studies have shown that males and females differ with regard to their ability to survive pathogen infections. The fathead minnow is a newly developed model for immunotoxicity; however, few studies have compared male and female immune responses following pathogen exposure. The purpose of this study was to examine sex-based differences in pathogen resistance and immune responses following exposure to a pathogen in adult fathead minnows (Pimephales promelas). To accomplish this, fish were bacterially infected with Yersinia ruckeri and the immune system’s ability to respond was monitored. Additionally, genes that are known to be expressed during the immune response initiation were measured quantitatively, providing insight into the molecular effect in minnows. At the whole organism level, male fish were less able to survive pathogen infection relative to female fish. At the tissue level, both male and female pathogen-injected fish had decreased hematocrit percentages compared to the fish injected with a saline solution, but did not differ from each other. At the molecular level, increased gene expression of interleukin 1β was seen in pathogen-injected males compared to pathogen-injected females and both sham-injected sexes, indicating that pathogen-injected males mounted a larger inflammatory response at the molecular level. Taken together, this evidence suggests that the increased mortality observed among males earlier in the exposure to the pathogen may be due to the upregulated inflammatory response rather than the effects of the pathogen itself.

Bacillus anthracis is a gram-positive, spore-forming bacterium and the causative agent of the deadly disease anthrax. The B. anthracis genome consists of chromosomal genes and the pXO1 and pXO2 plasmids that strongly contribute to the bacteria’s deadly nature. While the virulence factors associated with the plasmids have been extensively studied, we believe there are still undiscovered chromosomal genes that may also have important virulence factors. To identify novel chromosomal genes associated with B. anthracis virulence, we screened a transposon mutant library of B. anthracis Sterne strain for increased sensitivity to reactive oxygen species. Reactive oxygen species, such as hydrogen peroxide, have many functions in mammalian immune defenses and wild type B. anthracis is able to subvert this host defense. Sensitivity to reactive oxygen species was tested through in vitro hydrogen peroxide assays and after several rounds of screening, eight mutants were confirmed as susceptible. We next tested whether any of these mutants were attenuated in vivo using our invertebrate animal model, Galleria mellonella and found several mutants with decreased virulence. We are currently working on determining the location of the transposon insertion to find which chromosomal gene is disrupted. This could lead to the discovery of novel B. anthracis virulence genes and eventually possible treatment targets for future anthrax outbreaks and attacks.

The swim performance assay is a behavioral assessment used to measure cardiovascular function in fish. Previously, the laminar flow assay (LFA) has been the standard method of assessing swim performance in adult fish to measure their cardiac output. The spinning task assay (STA) is a novel, accessible method of assessing swim performance; however, previous studies have not compared the two methods. Additionally, there is little documentation of swim performance in larval fish, a more sensitive study subject for toxicological research. Therefore, the aim of this research is to compare the swim performance of fish in the LFA to those in the STA to determine which method is better for assessing swim performance in larval fathead minnows (Pimephales promelas). In this study, the percent of fish that fail to swim in the LFA is inversely proportional to the age of the fish, but in the STA, there is no correlation between percent failure and fish age. Results show that as fish increase in size, swim performance in the LFA improves, making it a more representative, predictable assay. Results from the STA indicate that swim performance in fish does not improve with size and performance in the STA is not correlated with performance in the LFA. Ucrit values from the LFA have less variation than those from the STA. The results of this study show that the LFA is a more suitable modality for assessing swim performance in larval fathead minnows.

Porous silicon nanoparticles exhibit great potential as drug delivery vectors due to their high surface-area-to-volume ratio allowing for increased efficacy of surface functionalization and therapeutic loading capabilities. This data set demonstrates the fabrication of a class of plant-derived materials which are sub-micron in size and capable of functionalization with primary amine groups through the addition of APTES.
The production of porous silicon particles (pSi) is achieved through magnesiothermic reduction of silica containing Tabasheer powder isolated from the nodal joints of the Bambuseae plant. Efficacy of this reduction is evaluated using techniques including X-ray diffraction and Energy-dispersive X-ray spectroscopy which show successful reduction of silica starting material to porous silicon.
High energy ball milling followed by reduction is used to produce pSi particles of sub-micrometer size while also allowing for a significantly higher yield (~90%) of material than previous methods. Particle size is confirmed via electron microscopy and dynamic light scattering (DLS).
Following reduction, surface functionalization of silicon nanoparticles with primary amine groups was carried out using a 4% (v/v) solution of APTES in acetone. The evaluation of this functionalization was conducted using techniques including zeta potential and infrared spectroscopy (IR). Zeta potential values are found to be approximately -10 mV. This data demonstrates successful amino silanization.
The results achieved through these methods suggest successful fabrication of pSi nanoparticles and subsequent functionalization for future use as a drug delivery vector.

Drug delivery is the process by which medications are administered to the body. This is complex due to the difficulty of determining compounds that have the proper biocompatibility and permissibility to our human cells. Many medications are taken orally; however, there are advantages to administering medication subcutaneously or by inserting it in the inner corner of the eye. Porous films made out of biocompatible polymers provide a good platform for drug delivery as they have the ability to be loaded with plant derived porous Silicon. Functionalizing the porous silicon using (3-aminopropyl)triethoxysilane and glutaraldehyde can be done in an attempt to covalently attach particles to the film which is important for embedding them into the pores of the film. Porous silicon has biocompatible properties and can be loaded with drugs then modified to alter the release of those drugs in the body. This method has the potential to be a useful drug delivery method due to the biocompatible and biodegradable properties of the material and the ability to manipulate the material in order to maximize drug release.

The objective of this project is to make a vaccine that will negate the effects of the powerful opioid fentanyl in the long term. Fentanyl is a strong synthetic opioid that is 50 to 100 times more potent than morphine. According to the CDC, there were over 70,000 deaths due to street drug overdoses, which has increased in the last ten years. 40 % of these deaths are related to fentanyl overdoses, therefore it is imperative that approaches are developed to combat this alarming increase in deaths. The vaccine against fentanyl will be synthesized out of molecules that will take advantage of fentanyl’s amide functional group to be hydrolyzed into safe byproducts. Any patient that is administered with the vaccine, will not feel the effects of the opioid because the immune system will hydrolyze the drug as soon as it enters. This project will exploit the properties of both catalytic antibodies (CAbs) and transition state analogs. The Cabs will trigger an immune response to attract phagocytic cells, such as macrophages to phagocytose pathogens and eliminate them from the system. However, if the molecule resembles the transition-state of fentanyl hydrolysis, then the antibodies can cleave the fentanyl in a fast and efficient manner due to their catalytic properties. Therefore, after immunization, a person who is addicted to fentanyl would no longer feel the effects of the opioid because it will be degraded as an immune response is triggered, creating a long-term possible solution to one factor of the “opioid crisis.”

Sir Stanley’s Well Rounded Adventure is a mobile game that is meant to help educate children ages 7-11 about living a healthy lifestyle. Childhood obesity is on the rise, and while we cannot control the lifestyle choices others make, we can help bring education to the younger masses through a medium that they can enjoy: video games. Sir Stanley’s Well Rounded Adventure will help children learn valuable lessons about nutrition and physical activity through a series of unique mini-games, in-game tutorials, and in-game achievements. Our goal is to make this information that has been provided to us by TCU’s nutrition department both accessible and easy to understand for the younger generation.

The potential of cost-effective UAV technology to replace costly technologies in Precision Agriculture

Abstract

The use of satellite and aerial remote sensing for agricultural applications has exponentially expanded since the past decades. One such agricultural application that is highly dependent on the use of advanced hyperspectral and multispectral remote sensing and GPS technology to boost crop harvests and viability, while reducing the number and amount of inputs, like water, fertilizer, land, and others required to grow crops, is Precision Agriculture (PA). Although PA has been credited for the increased crop yield and productivity in the United States and worldwide, its dependence on costly technologies has been a major hurdle for it to be used by small-scale farmers locally and globally. This project aims to reduce the dependence of PA on costly and complex remote sensing technologies through the use of alternate and cheaper options such as low/medium-priced Unmanned Aerial Systems (UAV), popularly known as drones, equipped with only high-resolution cameras capable of, to a certain extent, mimicking the functionalities that are offered by costly technologies. Such low-cost technology is anticipated to enhance the efficiency and profitability of the agriculture sector through the provision of easier technologies to small-scale farmers. The research project is currently being implemented on a wheat farm owned by Davis farms (Grandview, Texas). Multi-temporal (at different growing stages) UAV imageries using DJI Mavic air 3D are being acquired with the purpose of producing 3D maps for qualitative and quantitative analysis. This includes crop-health assessment through the generation of crop-health indicator indices such as the Normalized Difference Vegetation Index (NDVI). A similar analysis from high-resolution multispectral imagery of the area, acquired from commercial satellite operators, will be undertaken and the accuracy, validity, and reliability of the UAV-based PA application will be assessed.

The effects of increased population growth on Rwanda’s forest ecosystem.
Rwanda is a country in Central-East Africa and one of the smallest countries on the African continental, being only 10,169 mi²/ 26340 sq. Km. Rwanda is a landlocked country bordered by Uganda, Tanzania, Burundi, and the Democratic Republic of the Congo. The current population of Rwanda is 12,830,205 as of 2020, based on the latest United Nations data with a population density of 525 per Km2 which equates to about 1,360 people per mi2 with 17.6 % of the population living in urban centers.
Rwanda forests have historically played a very significant role in the economy and livelihoods of its population through tourism, energy, and other industrial purposes. They provide around 86% of the primary energy source mainly as domestic cooking energy. Rwanda experienced 50.9% total forest loss since 1990, in order to address this deforestation and imbalance in wood supply/demand, Rwanda has over the years taken a consistent stance on increasing the forest cover by 30% by 2020. With growing population, this case study is going to analyze how population growth in Rwanda has affected forest cover and biodiversity. The study will integrate available geospatial datasets such as census, infrastructure, and satellite imagery to assess the impact of population growth on deforestation.

Americans generate about 12.6 million kilograms of spent coffee grounds every day. 90% of that will end up in a landfill. However, this waste stream is a potential starting material that can be used for engineering purposes and to address issues like climate change and water pollution. For example, initial research has shown that charring (burning) the grounds at 350℃ improved its lead removal abilities. My research will convert spent coffee grounds to carbon-based materials by charring (burning) them at 350oC, 450oC, and 650oC to investigate how fast they can remove the lead. My research will also explore how activating the charred coffee grounds with nitric acid (HNO3) will enhance its capacity for lead removal and how the rate at which the materials can remove it.

Analysis of Deforestation in Nilgiri Biosphere Reserve
This research will focus on Nilgiri Biosphere Reserve, a mountainous region located in the Western Ghats of southern India that encompasses several major national parks. Recent developments have caused mass deforestation in the region for lumber and area for plantations. In addition, more roads are being developed connecting urban centers to Nilgiri, which is only worsening the deforestation issue. In this research, Landsat satellite images will be used to track change over time with regards to deforestation and the development of road networks to see how that impacts wildlife. Geospatial data geoprocessing tools will be used to categorize change in land use over time (the change in some land areas from forest/untouched reserve to agricultural or road). False and true color composites in addition to Normalized Difference Vegetation Index (NDVI) assessments will be undertaken to track the deforestation and differentiate between land types, since vegetation will be in a bright red, soil will be brown, and urban areas will be cyan blue to determine how much live green vegetation there is in the reserve as well.

Assessing Land Use Impact on Urban Heat Island Formation in Fort Worth

This research project will focus on assessing the impacts of human activity on the environment in Fort Worth as urbanization has increasingly taken hold over the years. Specifically, the project focuses on analyzing the change in land use in the city over a span of roughly three decades and its contributions to urban heat island formation. Landsat band data products will be used to estimate variations in land surface temperature (LST). LST calculations will highlight the factors contributing to urban heat island formation in Fort Worth.

Plant biomass represents an important component within the biogeochemical cycling of nutrients and contaminants. Transformation of this plant biomass in the environment to organic residuals is dictated primarily by interactions with micro-organisms specifically fungi. My research investigates the effects of fungal colonization of spent coffee grounds as a model for plant biomass to organic matter transformation and how this transformation impacts environmental stability and its ability to bind to contaminants. This presentation will cover; 1) physical and chemical changes in the spent coffee grounds after molding for 0,3,4,5 and 7 months, 2) how these physical changes impact the environmental degradability, and 3) how these physical and chemical changes impact the capacity to bind Gentian violet dye (as a model for organic cations).

The process of successful skin healing from a wound involves different combinations of interactions. Moreover, by clearly understanding this process, we can provide and determine the appropriate amount of medicine to give to patients with varying types of wounds. Thus, this can improve the healing process of patients. In this research, we use the ADI method to solve a partial differential equation that models wound healing and also determine the necessary parameters to achieve the stability of the ADI method. The data, which we are using, are pictures of the wounds, and the task is finding the initial conditions, that is exact boundary data from photos. We believe that Deep Learning is an excellent method to deal with this segmentation problem.

Background: A relationship exists between perception of one’s health based on weight, and how they manage their health. Normal-weight college students who physically appear healthy may unknowingly develop a chronic disease because they view good physical appearance as verification of good health.
Objective: The purpose of this study was twofold: 1) compare the perceived health status of TCU students to their actual health status; and 2) assess the health status of TCU students of normal BMI.
Design: This study was a cross-sectional, descriptive design.
Methods: Twenty-five normal-weight college students between ages 18-24 of any sex and race were recruited to complete a health perception assessment survey 24 hours prior to their lab visit. Participant’s anthropometric measurements (height, weight, body fat percentage, waist/hip circumference, and waist-hip ratio), blood pressure, fasting blood glucose (via finger prick) and a 10mL blood sample were collected. Blood was analyzed for hemoglobin A1c and a lipid panel. Self-reported survey results were compared with results obtained during the study visit to identify any discrepancies between actual and perceived health status and evaluate the overall health status of participants.
Results: Average BMI and waist-hip ratio of participants were 22.39±1.94 and 0.76±0.04, respectively. The most commonly elevated measured values were fasting blood glucose (29% prevalence), and body fat percentage, blood pressure, and LDL cholesterol (21% prevalence each). Fifty-two percent of participants presented with at least one measured value outside normal limits and 29% presented with two or more values outside normal limits. However, 92% described themselves as “very healthy”, “healthy”, or “somewhat healthy”.
Conclusion: Despite the appearance and perception of health, a significant proportion of TCU students ages 18-24 may risk developing a chronic disease. Our results suggest that regardless of self-perceived health status, TCU students should receive regular check-ups to identify and manage physiological markers of health.

Background: Intermittent fasting has become a dietary trend, as it is reportedly attributed to weight loss, maintenance of body composition, appetite control, improved sleep patterns, and disease prevention. However, current evidence-based research may not fully support these claims. There are discrepancies regarding the definition of intermittent fasting. Additionally, it is commonly confused with traditional fasting.
Objective: The objective of the study was to determine perceptions of intermittent fasting on health in college-aged students and compare to evidence-based findings. It was hypothesized that college students would have an overall positive perception of intermittent fasting based on current popularity of the diet.
Design: Cross-sectional
Methods: An online survey was developed which assessed participants’ knowledge and practice of intermittent fasting.  Participants were recruited via email and social media. Data was analyzed using SPSS. 
Results: Among study participants (N=99), 24.2% (n=22) reported currently or previously following an intermittent fasting diet. There was a positive correlation between reported intermittent fasting and weight loss (p<0.01), as well as increased energy levels (p<0.01).  The majority of participants (63.6%, n=63) defined intermittent fasting as “controlling the times throughout the day in which food/drink can be consumed.” Participants reported obtaining knowledge of intermittent fasting from internet research (50.5%, n=50), social media (46.5%, n= 46), and friends and family (42.4%, n=42).
Conclusions: Overall, participants commonly defined intermittent fasting, with knowledge coming from friends and family, social media, and the internet.  If participants had practiced intermittent fasting, the most significantly reported benefits were weight loss and increased energy levels, which may be attributed to the current study populations’ motives for diet adherence. Further research should be conducted with a more diverse subject population and include data regarding participants’ reported desired outcomes prior to starting the diet in order to determine if additional benefits can be attributed to intermittent fasting.

HOW SOCIAL MEDIA INFLUENCES DIETING AND EATING BEHAVIOR

D. Farmer,1 J. Goodrich, Rylee Lin, A. Vanbeber, PhD, RDN, LD, FAND, L. Dart,
1Department of Nutritional Sciences, Texas Christian University

Learning Outcome: To determine the influence of social media on dieting and eating behaviors among adults living in the United States.

Learning Needs Codes:
Primary:
Secondary:

Background: Social media plays a major role in influencing use of popular fad diets, and searching for diet-related information on social media is becoming more common. Research indicates that 45 million Americans go on a diet each year, and approximately half of all dieters report that their primary information source regarding special diets is the internet.

Design: Un-blinded, randomized trial approved by TCU IRB.

Methods: Participants completed an online SurveyMonkey® research questionnaire after providing informed consent. Population included 333 male (22%) and female (78%) individuals 18->45 years of age. Analyses assessed participants' history of fad dieting and outcomes, likelihood of being influenced by social media recommendations for food product brands, and/or following social media influencers promoting different diets. Data was analyzed using SPSS (P<0.05). Frequency distributions and correlations were analyzed for trends in dieting and eating behaviors and how these are influenced by social media.

Results: Age was the overriding factor in determining influence by social media among participants, with 18-22 year/olds more likely to follow a diet and/or try food product brands recommended by social media influencers (P=.01). Married and older participants vs. single younger participants were more likely to have attempted a weight loss diet but less likely to try a diet promoted by a social media influencer (P=.01). Additionally, regardless of age or marital status, there was a positive correlation between participants who dieted more frequently throughout the year and the likelihood of trying a diet promoted by social media influencers (P=.01).

Discussion/Conclusion: Social media provides registered dietitians/nutritionists with the unique opportunity to market their skills and to educate the public about evidence-based nutrition science.

The metabolic effects of capsaicin on college-aged men: a randomized, double-blind, placebo- controlled, crossover pilot study
J.E. Mertes,1 A.A. Graves,1 I. Marzan, 1 N. Andonie, 1 A.J. Graybeal, MS2, J.L. Willis, PhD, RDN, LD1
1Department of Nutritional Sciences, Texas Christian University
2Department of Kinesiology, Texas Christian University
Background
Capsaicin is the biologically active, spicy flavor profile component of chili peppers that has been recently touted as an anti-obesity agent. However, studies examining the effects of capsaicin on these markers have mixed results.
Objective
The purpose of this pilot study was to examine the effects of consuming a 14-d supply of 500mg/day or either capsaicin supplement versus placebo on: 1) basal metabolic rate (BMR); 2) blood glucose (BG); and 3) anthropometrics in college-aged men with BMI >25kg/m2.
Design
This study utilized a randomized, double-blind, placebo-controlled crossover design.
Methods
Six overweight/obese, sedentary men completed four visits (~45min/visit) over a 45-day intervention period. On visit 1, participants completed anthropometric and BMR measurements and were randomly assigned to either capsaicin or placebo. Participants were provided with a 14d supply of pills, a pill log, and dietary logs to take and complete daily for 14d. On day 15 (V#2), the same testing and measurements occurred. Participants then completed a 14-day washout period. Following the washout period, participants crossed-over and underwent the V#3 (days 30) and V#4 (days 45) where the same procedures as before were followed.
Results
From pre- to post-capsaicin supplementation, there were no significant changes in BMR (1.61±0.49 to 1.80±0.54 kcals/min, ns), BG (102.5±5.9 to 104.0±8.4mg/dL, ns), body weight (96.1±20.1 to 96.4±20.94kgs, ns), or BF% (22.2±9.2 to 22.7±8.6%, ns). Placebos showed no change in these markers (ns).
Conclusions
In overweight/obese college-aged men, supplementation with 500mg of capsaicin or placebo did not differentially affect BMR, BG or body composition. Overall, more research should ensue with a larger sample.
Funding Source: TCU SERC Grant # UG 190315

Background: Dairy-free diets have gained popularity within the United States based off of minimal scientific evidence to support the overall healthfulness of eliminating dairy. There is limited existing research as to factors that influence dairy consumption or how many people adhere to a dairy-restricted diet.
Objective: The objective of this study was to determine public perception of the healthfulness of dairy and consumption patterns. It was hypothesized that due to recent media coverage and dietary trends, dairy products have gained a negative connotation and consumption has decreased.
Methods: An online survey was created to assess participants’ perception of the healthfulness of dairy and consumption trends of dairy and dairy substitutes. Participants age 18-65 were recruited via email and social media. Data was analyzed using SPSS.
Results: Among survey participants (N=213), the majority consume dairy (91%, n=194), with 77% (n=164) stating they consume 1-2 cups daily. There was a significant correlation (p≤0.01) between whether participants consume dairy and how healthy they view dairy products. The majority of respondents believe that dairy is healthy in moderation (70.4%, n=150), though 34.3% (n=73) believe that cow’s milk is nutritionally inferior to milk alternatives. There was a significant correlation (p≤0.01) between current dairy consumption and consumption of dairy during childhood. However, 42.7% (n=91) of participants stated that their preference for dairy has decreased over the past 5 years. Of the participants who had a decreased preference for dairy, their primary reasons were due to personal research (26.3%, n=56) and media influence (15%, n=32).
Conclusions: The majority of respondents reported consumption of dairy products and perceived dairy to be healthy in moderation. However, a large number of participants’ preference for dairy has decreased in recent years due to personal research and media influence. Future research should also include comparison of consumption trends to evidence-based dietary recommendations.

Previous reports show that it is not uncommon for patients to have two viruses at the same time. At the current time, we do not know how to treat co-infections. In order to test the effects of having these concurrent infections, we simulate the two infections using a mathematical model. We use our model to simulate influenza A virus co-infected with respiratory syncytial virus and parainfluenza virus co-infected with human rhinovirus. Using the model, we can estimate the co-duration of the viruses, the individual duration, and the peak virus amount for both viruses, both with and without drug treatment of the infections to figure out the best treatment strategies for co-infections. We find that sometimes treating one infection can lead to the lengthening of the other infection.