On average, Americans generate about 11.4 million kilograms of spent coffee grounds per day. That is an equivalent weight of a thousand full-size school buses, every day. Most of this coffee is discard, where it eventually ends up in a landfill. However, if recycled or reused this commonly discarded material has many potential uses including as a pest repellent or garden fertilizer. Another use is as a sorbent to remove water contaminants. This means that coffee grounds have the potential to be used as a key component in carbon-based water filters. Evidence from recent research conducted in our laboratory at Texas Christian University shows that charred coffee grounds can effectively remove lead contamination from water. My research will further this work by identifying 1) the specific properties of charred coffee grounds that allows for the removal of lead from water and 2) the optimal temperature for producing charred coffee grounds for water filtration. With the use of infrared spectroscopy and other materials characterization techniques, I will study the properties of charred coffee grounds produced from regular Folgers coffee and an Ethiopian-blend at 250 ℃, 350 ℃, and 450 ℃.

BTEX compounds (benzene, toluene, ethylbenzene, and xylene), and specifically benzene, have been linked to cancer in humans. This project will allow me to develop a map to quantify risk of cancer based the amount of BTEX compounds that have been determined to be in the air. Air pollutant data was gathered by TCEQ using automated gas chromatographs. I collected this data for different monitoring stations in the DFW area in order to compare the differences with Houston. This data was then used to create a map in ArcGIS in order to visualize higher pollution areas. The contaminant levels will then be used with the recommended health exposure levels in order to create a map of risk corridors. This is useful information as it allows individuals to be aware of their personal exposure to these compounds based on the time spent in an area.

Nitrate contamination of groundwater in the Seymour Aquifer is a well-known issue that has been documented since the 1960's. Concentrations as high as 35 ppm NO3-N have been reported, which is a startling 3.5 times the EPA allowable standard for drinking water. While most water from the Seymour Aquifer is used for agricultural irrigation, a portion is still used for domestic purposes and therefore poses a risk to human health. While this problem may have been recognized, the specific source of this contamination remains unknown. Three potential sources of nitrate within the aquifer are being considered in this study—the geological makeup of the aquifer, the agricultural contribution of nitrate from fertilizers, and the historical land use change of the area above the aquifer. My research will combine various analytical and geospatial technologies in order to 1) assess the evolution of groundwater in the Seymour Aquifer since the 1960's, and 2) to determine the source of the high concentrations of nitrate in domestic wells situated on the aquifer. Readily available groundwater quality data from the Texas Water Development Board will be used in conjunction with geospatial analysis and chemical analysis to identify changes in the aquifer's water quality over time. Nitrogen and Oxygen stable isotopic analysis will be used to determine the source of the contaminant. After a thorough analysis of the site area via the aforementioned methods and technologies, a thorough portrait that depicts the source of nitrate contamination in Texas's Seymour Aquifer ought to be painted.

Bats are critical to their surrounding environment, providing numerous beneficial ecosystem services. For instance, they are natural pest controllers, and in urban environments they can control the mosquitoes that cause West Nile Virus. Nevertheless, loss and degradation of habitat, along with disease, have led to declining bat numbers. Restoring and creating suitable habitat will certainly help encourage bats, but first we need to know what resources bats need to survive, such as water. Many available water resources in urban areas, such as streams, ponds, and drainage ditches are ephemeral and dry up during the hot Texas summers. We believe that bats are able to utilize swimming pools in Texas urban areas, thus we explored this by radio-tracking bats in a local park, Foster Park in Fort Worth. We caught bats in this park using a technique called mist netting. Upon capture, we attached a radio-transmitter which emits a signal that can be picked up by a hand-held receiver. We then followed the bats using the transmitter’s signal and triangulated their position every minute to map their nightly routine. From March to September 2017, we tracked a total of 10 evening bats (Nycticeius humeralis). Using ArcGIS, we mapped the bats flight paths and determined home range sizes. From March to May, and September, we found that bats tracked tended to restrict their movement and remained within or near to the park, however from June to August the bats expanded their home ranges and moving longer distances into local neighborhood. This expansion coincided with drying up of water sources within the park, and included areas with swimming pools. Our finding supports the hypothesis that urban habitats have the potential to maintain healthy bat populations, which in turn can aid bat conservation.

Intermittent power outages at Texas and New Mexico border stations has caused significant delays in customs services and information losses through computer shutdowns. The U.S. General Services Administration approached us to address these power quality problems at the border stations through a review of potential distributed generation sources through microgrids to “combat or support” these frequent power outages. The overall aim aside from solving power outages and brown outs at stations is potentially addressing the implementation of renewable energy sources as a power generation for microgrids and coming closer in compliance with Executive Order 13693, “Planning for Federal Sustainability in the Next Decade”. Our approach includes analyzing background information through analysis of GSA documentation and current studies on implementing microgrids in a variety of locations. Current data suggests proposing wind power, solar power, and battery storage based on size and locations of border stations. However, results are pending data collection and GSA input.

The geomechanical properties of Eagle Ford cores from the San Marcos Arch were measured by hardness tools to test that calcareous rocks are stiffer than the clay-rich shales. Results were quantified and graphed to reinforce the idea that the Maness shale could be more ductile than the superimposing Eagle Ford Shale.

Lithology and facies of the Lower Williams Fork in the Piceance Basin, Colorado were interpreted using spectral gamma ray logs on Petrel. Models were created using this correlated data to predict the facies in an area with no well data. Different modeling methods will be used, such as object modeling and sequence indication simulation to compare and search for the best fit. Published outcrop measurements were used to constrain subsurface geobody geometry. Models were also used to estimate reservoir rock potential in the Lower Williams Fork.

The 1.2 Ga volcanic arc rocks in the Barby Formation are well exposed in desert terrain in SW Namibia - this formation records the establishment of a major continental margin arc following earlier accretionary events. Recent field work has shown that large portions of the formation consist of pyroclastic fall deposits erupted from small volcanoes (fissures and scoria or spatter cones) in a region with poor drainage and abundant lakes.

Detailed mapping of a well-exposed section of the Barby Formation provides a cross-sectional view of a succession of pyroclastic fall units intercalated with planar bedded lacustrine sediments. Massively bedded units up to ~80 m thick show abundant bombs up to 60 cm across in a matrix of fluidal to angular lapilli, indicating deposition close to source vents undergoing primarily Strombolian-type eruptions. Hypabyssal dikes and sills are common, often cutting through the massively bedded pyroclastic units.

Also present are pyroclastic deposits that intrude lacustrine sedimentary packages at 12 locations spread out over a horizontal distance of ~600 m and a vertical stratigraphic sequence of ~300 m. These deposits contain similar bombs and lapilli as the pyroclastic fall deposits, but show clear fluidal intrusive relations with adjacent sedimentary units. In most cases, zones of peperite are formed in between the pyroclastic intrusions and the lacustrine sediments, consisting of fluidal bodies of vesicular basaltic andesite mingled with fine-grained sediment with preserved lamination. We infer that jets of intrusive pyroclastic material were blasted laterally into weak, unlithified lake sediments from one or more vent conduits feeding explosive eruptions at the surface; these jets are likely to have been forced out by collapse of the conduit inward. Fluidization of the sediment would have occurred as pore water was converted to steam, which would have facilitated lateral motion of the pyroclastic jets.

Landsat-8 data was used to test the effectiveness of using spectral analysis and remote sensing in the differentiation of lithological units and mapping geology in Namibia. The study area is located in SW Namibia, in an arid region with little vegetation, making it an ideal place for remote sensing analysis. Different color composites and band ratios were compared to find the image providing the most geologic information and highest contrast between units. A false color composite (6,3,2 in red-green-blue) was first created to to show differences in bare earth, and from there, various band ratio combinations were created. Geologic maps were used to verify the results and select the best band combination. The best color composite image was created using band ratios from (7/6, 6/5, 4/2), and allowed identification of lithological units and vegetation. The results show that it is possible to draw valid lithological conclusions from spectral patterns, and that high quality imagery can be used to update existing geologic maps or used for exploration.

SRS Abstract Drainage Area Climate Classification

For my SRS project I will be determining the climate(s) within a given polygon. The Polygon size and shape will be determined from a specified drainage area for a given stream. I will be using over 400 stream data points with a series of drainage area shape files given to me by Nicole Wilson. I will base the climate on the gauge site location within the drainage area. The koppen climate classification scheme will then be used to specify each drainage area.

Public awareness of human rights violations in cobalt-rich mines of the Democratic Republic of Congo have American cobalt consumers scrambling for reliable suppliers to meet rising demand, with uncertainties about futures in cobalt's supply chain. Global cobalt production supply forecast falls short of global demand forecast for the next ten years, even with the completions of major planned mined projects. The exponential increase in demand for cobalt results from its utility in personal electronics batteries, electric vehicle batteries, and jet engine construction. Chemical extracting operations whose sole purposes are to extract cobalt are not profitable in the status quo, leaving a window of opportunity for reclaimed cobalt to take hold in the market. This project studies consumer patterns to determine "urban mine" qualities in Texas. The resulting analysis exists to be cross-applied to other states to determine target regions best suited for cobalt reclamation strategies in hopes of securing America's geopolitical mineral stability.

Alzheimer’s disease (AD) is a progressive brain disorder and the most common form of dementia. The disease gradually destroys brain cells, leading to confusion, erratic behavior, and severe loss of memory. Alzheimer’s is eventually fatal, and no treatment or cure has been discovered. Researchers aim to better understand Alzheimer’s pathology through the use of a transgenic mouse model of AD, the 5xFAD mice. A previous study by Bonardi et al. (2011) has shown that another model of AD, the APP/PS1 mouse, exhibits a deficit in extinction learning before it displays a deficit in acquisition. We aim to determine if this same trend exists in 5xFAD mice, despite having more extensive genetic mutations. Learning will be assessed using the Contextual Fear Conditioning (CFC) paradigm, where the mice are introduced to an environmental context and experience a mild aversive stimulus. When reintroduced to the context 24 hours later, mice will freeze if they acquired a memory for the pairing of an aversive stimulus with the novel context. Freezing is an instinctive rodent fear response. After repeated trials of exposure to the environment in the absence of an aversive stimulus, the mice gradually freeze less. This is indicative of new learning of the environment no longer being paired with the stimulus, or extinction of the initial association. The 5xFAD mice typically exhibit impaired acquisition by 6 months of age as compared to wild type mice. The present study examined if the 5xFAD mice would display a deficit in extinction learning prior to this deficit in acquisition. Preliminary data indicate that 5xFAD mice, like APP/PS1 mice, show a deficit in memory extinction before they exhibit a loss of memory acquisition. Three-month old FAD mice extinguish more slowly than three-month old wild type mice, but show no difference in acquisition. This research is important because it indicates alternative cognitive measures may allow for earlier diagnosis of neurodegenerative diseases, such as AD.

It is estimated that 45% of people over the age of 85 in the U.S. suffer from Alzheimer’s disease. Patients with Alzheimer’s disease, which is characterized by cognitive deficiencies and memory loss, have higher concentrations of amyloid plaques in brain tissue than patients without the disease. Abnormal levels of transition metal ions Fe, Zn, and Cu in brain tissue are associated with amyloid beta plaques and also have been shown to catalyze the generation of excess reactive oxygen species (ROS) and cause oxidative stress. The combination of the ROS generation and the amyloid plaque formation results in neurodegeneration, which ultimately causes the memory loss and ultimate death associated with Alzheimer’s. We have synthesized the compounds L2 and L4 which are designed to be chelating agents of metal ions and also scavengers of ROS. We hypothesize that due to their chelating properties and pyridol groups, L2 and L4 should reduce oxidative damage in neuronal cells by chelating metal ions and scavenging radicals. Furthermore, we hypothesize that due to its extra pyridol group, L4 will be a stronger antioxidant than L2. The cytotoxicity of the compounds was tested on HT-22 neuronal cells. Neuronal cells will be treated with BSO, a compound that induces formation of ROS, in the presence and absence of L2 and L4. If our hypothesis is correct, our compounds should reduce the oxidative damage induced by BSO, and L4 should be more effective at doing so than L2.

Alzheimer’s disease (AD) is a neurodegenerative condition in which beta-amyloid protein accumulates into plaques, and tau protein forms neurofibrillary tangles. In the past, our laboratory has shown that repeated inflammatory events increase beta-amyloid in the hippocampus of male C57BL6/J mice. We sought to determine the effect of a second exposure to the bacterial mimetic lipopolysaccharide (LPS) on beta amyloid accumulation. An initial round of seven, once daily LPS or sterile saline injections, was administered to male C57BL6/J adult mice. Fourteen days after the last injection, a second round of LPS or saline injections was given, followed by tissue collection and quantification of beta-amyloid levels in the hippocampus. The results showed that animals injected with two rounds of LPS had significantly lower levels of beta-amyloid accumulation than those animals injected with just a single round of LPS, although both groups had significantly higher levels of beta-amyloid than the saline control animals. These results suggest a reduced inflammatory response following a secondary exposure to LPS. More specifically, animals exposed to LPS for a second time showed significantly less central and peripheral inflammation four hours after LPS administration than animals with no prior exposure. In addition, increased levels of IgM and IgG were discovered in the mice with prior LPS exposure. This could indicate possible antibody production against LPS or beta-amyloid rather than tolerance of the LPS as a mechanism for the reduced inflammatory response. In order to establish whether this results in a life-long effect, we are currently exploring the impact of LPS administration in old age for mice who were exposed to LPS earlier in life.

With the increasing student population trend at TCU, parking on campus is equally increasing
in difficulty. Due to the limited campus space, expanding parking availability is not a feasible
solution. Spark is a smart parking system that monitors the status of each space in parking lots,
indicating the space’s occupancy status on an aerial “Google Maps” view of the parking lot in a
smartphone application and, potentially, a website. The application could be linked to the TCU
Single-Sign-On for increased security and to make it easier for TCU students, faculty, and staff
to save their parking preferences. Spark can measure the fill rate of individual lots, recommend
a time-to-leave to procure a parking spot, and even provide update notifications on the status
of the user’s preferred lots.

Using the finite element method as a numerical approximation in solving for eigenvalues of the hyperbolic Laplacian, this research investigates the estimates of the first two eigenvalues with Dirichlet and Neumann boundary conditions on bounded domains in the upper half plane. Examples of finite element code using Matlab are presented to illustrate how to obtain these approximations for hyperbolic polygons. These values can further be used to shed light on the Selberg and Fundamental Gap conjectures.

In the past, Personality Psychologists have commonly applied clustering techniques on questionnaire data to analyze personality structure. The purpose of this research is to determine if techniques from topological data analysis can provide a greater understanding of personality. Specifically, persistent homology was used to determine clusters topologically and analyze the ‘shape’ of the data. Previous work we have done focused on seeing how persistent homology can provide insight on identifying the key (most persistent) clusters in the data. New analysis looks to see how the Big 5 Personality Factors cluster together as a function of age.

Background: To replace milk fats and eggs commonly found in ice cream, vegan varieties substitute with vegetable fats and/or pureed fruits. Vegan ingredient substitutions for ice cream must contain similar structural components to milk fat to preserve the expected texture/mouthfeel of the product. The purposes of this study were 1) to measure university students’ preferences and sensory ratings of vegan ice cream substitutions and 2) to identify which ingredients act as the best replacements.

Methods: 54 students enrolled in one of two TCU Nutritional Sciences (NTDT) courses participated in this single-blind, cross-sectional study. Subjects completed sensory evaluation of three homemade vegan ice creams containing different structural/flavor components. Sample A included coffee, cashews, and coconut cream; B used coconut cream and dates, and C contained coconut milk. Evaluations took place on two separate occasions in the NTDT Laboratory Kitchens. Flavor, sweetness, texture, mouthfeel, eye appeal, color, and overall rating of vegan ingredient substitutions for ice cream recipes were assessed. Sensory criteria responses were analyzed using SPSS XIX. Frequency distributions, ANOVAs, correlations, and descriptive statistics were determined to meet study objectives (p≤0.05). Protocol was approved by the TCU IRB.

Results: 53% of participants preferred the flavor of sample A, 42% of participants reported that sample B was the preferred flavor, and sample C received the lowest overall acceptability rating, with 73% of the participants disliking the flavor. More than 50% of participants stated sample A was most similar to traditionally-prepared non-vegan ice cream, and 78% of participants stated that they would consume these ice creams outside of the study.

Conclusions: Acceptable vegan ice cream fat substitutes are available. Cashew, coconut cream, dates, and coffee contributed to the rich flavors, creamy textures, and overall desirable sensory qualities in samples A and B. Coconut milk, utilized in sample C, contributed to an undesirable and unacceptable crystallized texture.

Background: Research indicates individuals who follow plant-based diets make healthier food choices and have less chronic disease than those consuming the Standard American Diet. It is hypothesized that Texas Christian University (TCU) students have limited knowledge and/or exposure to vegan/plant-based lifestyles and diets. The purpose of this study was to determine whether knowledge level and attitudes/beliefs of vegan/plant-based diets/lifestyle changed with exposure and newly-gained knowledge in a semester-long three-hour course.

Methods: Subjects included 23 junior/senior multidisciplinary TCU students (56%/female; 44%/male) enrolled in a course about plant-based diets and lifestyles. Students completed a pre-assessment questionnaire on the first day of class before exposure to any content regarding vegan/plant-based diets and lifestyles. Students completed a post-assessment questionnaire at semester end to ascertain if changes in attitudes/knowledge/beliefs regarding vegan/plant-based diets and lifestyles changed over time with exposure and newly-gained subject knowledge in the course. Data was analyzed using SPSS (p<0.05).

Results: Prior to starting the course, 13% of students reported they were vegetarians, and 83% typically consumed animal protein in their diets (p=0.01); more students in health-related disciplines noted having friends/family members who followed vegan diets (p=0.01). Pre-assessment results showed that female students were more knowledgeable than male students about plant-based diets/veganism (p=0.01); whereas, post-assessment knowledge scores showed no differences among gender. Overall, post-assessment scores improved for all students in the following categories: reasons why people choose veganism, acceptable foods for vegans, nutrients at risk for vegans, availability of vegan ready-to-eat foods/grocery store and restaurant meals, and risk for chronic disease of vegans vs. people who consume animal products (p=0.01).

Conclusions: Students majoring in the sciences and nursing/health sciences possessed greater knowledge about vegan/plant-based diets/lifestyles than their counterparts majoring in other subjects. Although level of prior knowledge varied among all students, exposure to the topic through a vegan/plant-based studies course increased knowledge of participants.

Background:
Peanut butter is an all-American staple in nine out of 10 households. It’s estimated that each U.S. youth consumes an average of 1,500 peanut butter sandwiches by the time he/she graduates from high school. Although, the popularity of peanut butter alternatives such as tree nuts/seed butters has grown in recent years due to their rich source of nutrients, peanut butter continues to be the “nut butter” of choice for most people. This may be due to lack of knowledge about the health benefits of different nut/seed butters and/or lack of exposure to these products.

Methods:
The purpose of this study was to examine if taste-testing and increased awareness about the health benefits of tree nut/seed butters would influence their consumption among university students. 52 students enrolled in a multi-disciplinary introductory nutrition course participated in this single-blind, cross-sectional study. Participants completed a pre-study questionnaire identifying key nutritional benefits of peanut and alternative tree nuts/seeds butters and typical consumption of each. Following education about the nutrient content of peanuts compared to cashews, almonds, and sunflower seeds, participants taste-tested and evaluated a sample butter of each and completed a post-study questionnaire. Study procedures were approved by university IRB, and participants responses and sensory rankings were analyzed to meet study objectives (SPSS; p<0.05).

Results:
Significant improvement in pre and post-study knowledge of nutrient content in nut/seed butters was noted (p=0.01). Sensory evaluation showed that preferences for peanut butter were highest among participants, followed by almond butter and cashew butter. Sunflower seed butter was least preferred (p=0.01). Taste, color, and texture/mouthfeel sensory rankings correlated with overall acceptability for each sample (p=0.05). Following sensory evaluation, preferences for consuming almond butter increased by 38% compared to pre-tasting responses (p=0.01).

Conclusions:
Education and sensory evaluation are both important strategies for enhancing awareness of health benefits and acceptability of peanut butter alternatives.

Background: Among the many benefits associated with the consumption of probiotics, modulation of the immune system has recently received the most attention. Previously, researchers and scientists thought that the use of probiotics only improved the gastrointestinal tract, thereby aiding digestion. However, there is now evidence to support that intake of probiotics is effective in the prevention and/or management of many gastrointestinal diseases plus modulating immune functions in a person with normal immunological status and microbiota.
Methods: An online survey regarding knowledge of foods containing probiotics, consumption of these foods, frequency of probiotic supplementation, and recent illness was developed to determine the relationship between probiotic intake and immune health among college students. Researchers recruited Texas Christian University students through e-mail and social media. Once the target number of participants (>150) responded to the survey, data was analyzed using SPSS.
Results: Upon surveying participants (N=157), 58% (n=91) of respondents reported that they did not take a probiotic supplement, while 19.8% (n=31) reported taking a supplement every day or ≥3-4 times/week. There was a strong correlation between those who reported frequent probiotic supplementation and lower incidence of strep throat (p<0.01), lower incidence of nausea and vomiting (p<0.01), and lower incidence of constipation (p<0.05). There was also a correlation between the consumption of certain foods containing probiotics, yogurt specifically, and illness frequency, notably, lower incidence of fever (p<0.01) and cold (p<0.05).
Conclusions: There is a significant correlation between the consumption of probiotic supplements and positive effects with certain illnesses, but some foods containing probiotics show opposite or negligible results. For more conclusive results, further research should be conducted with controlled variables to determine the relationship between illness and intake of probiotic supplements versus probiotic-containing foods.

Background: Research indicates Millennials are more concerned about having healthy eating habits than following fad diets, and they exercise more than their Baby Boomer counterparts. The purposes of this study were 1) to determine reasons university students follow fad diets, and 2) to determine other methods students utilize for weight management.
Methods: In this un-blinded, randomized trial approved by TCU IRB, participants completed an online research questionnaire after providing informed consent. Population included 236 TCU male and female students, 18-22 years old. Analyses assessed students’ history of fad dieting and outcomes, perceived health status based on body weight and image, eating and exercise habits, and incidence of lifestyle practices such as smoking and alcohol use. Data was analyzed using SPSS (p<0.05). Frequency distributions and correlations were analyzed for trends in health maintenance behaviors.
Results: Participants self-identified as 76% females, 85% white, 6% Hispanic, and 4% other ethnicity. Only 32% of participants had followed a fad diet (p=0.01). Participants who followed fad diets included 30% Paleolithic®, 23% Gluten-Free®, 20% Weight Watchers®, and 14% Atkins®. Of those who followed the respective diets, 58% did not achieve desired results and reported feeling tired, had no change in health status, experienced temporary weight loss, and always felt hungry, and 56% of participants answered “no” when asked if fad diets work. Of those who followed a fad diet, 40% would not follow one again. Results also show a strong relationship between females and healthy eating habits, pressure to be a certain weight, and perceiving themselves to be a normal weight (p=0.01). Finally, weight loss behavior results show that 97% of participants exercise, while only 57% consciously eat less, and 55% count calories (p=0.01).
Conclusions: University students who followed fad diets experienced temporary or adverse results. Exercise was preferred rather than dieting to maintain weight.

Background: Up to 40% of food produced in America is wasted each year. Meanwhile over 42 million Americans are food insecure. The purposes of this study were to 1) identify contributing factors to local restaurant food waste, 2) describe barriers to restaurant food donations, and 3) describe barriers to donation acceptance by shelter employees.
Methods: Two electronic surveys were distributed to either local restaurant managers/owners or to employees involved in food donation acceptance in local shelters/kitchens following phone calls and/or personal visits by researchers to facilities. Data were coded into and analyzed using SPSS.
Results: There was a 17% (N=12/72) and 100% (N=14/14) response rate for restaurants and shelters requested to participate, respectively. While only 16% (N=2) of restaurant survey respondents (RSR) were concerned about food waste in their establishments, all RSR (N=12) agreed that reducing food waste in their facilities was important. Over 83% (N=10) reported having successful food waste prevention measures in their restaurants. There was a positive correlation with report of presence of prevention measures and knowledge of the Good Samaritan Act (r=.67, p<0.05). Approximately 42% (N=5) of RSR reported they would be interested in connecting with local shelters to donate food and also agreed that liability is a barrier to safe food donations.  Among shelter respondents, 81% (N=9) agreed that their facilities would benefit from excess restaurant food donations.
Conclusion: Although all RSR agreed that food waste prevention measures were important, the majority were not concerned about food waste in their facilities. Due to the overall poor response rates among restaurant owners/managers, the RSR in this survey may represent a segment that were more interested in food waste and more likely to respond to the survey.  The majority of respondents of both surveys agreed that partnering with restaurants and shelters for safe excess food donation was desirable.
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Funding Source: None

In this experiment we take the differential equation model from Heldt 2012 for the viral life cycle and apply a stochastic algorithm in order to simulate random events on a molecular level. We then introduce a known mechanism by which to mutate the produced virus particles and attempt to understand the relationship between surface proteins and these random mutations. This work will shed light on the efficacy of particular antiviral drugs that act on the binding of surface proteins to the cell membrane.

Respiratory syncytial virus (RSV) is an extremely common viral respiratory infection that currently has no vaccine or treatment. One of the issues in developing a treatment has been that immune system responses in both humans and rats vary in their susceptibility to RSV across different age groups. In this study, we use a mathematical model to quantify the viral kinetics of RSV and analyze its relationship to age. After fitting the model to experimental data, six parameter values were determined and used to calculate the eclipse phase length, infection phase length, basic reproductive number, and infecting time. These values were compared by age and collection site. After running several statistical tests, there was no major trend with the parameter values in relation to either age or collection site. This result provides the foundations for further studies to explore how viral models can better represent RSV and understand the immune response in general.