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.

Unconventional shale plays have been a significant source of natural gas, gas condensates, and crude oil through much of North America. The Eagle Ford Shale in south Texas has been a prolific unconventional play since the mid-2000’s. It was deposited in the Gulf Coast basin along the southern rim of Texas. This play covers a vast area that stretches approximately 7 million acres (2.8 hectares) and extends from the College Station to the USA-Mexico Border near Del Rio. The majority of the Eagle Ford has been thoroughly studied and analyzed, however, there is much to learn about the basal member, the Maness Shale.
The Maness Shale was deposited 97 million years ago; it is the basal member of the Eagle Ford Group and lies directly above the Buda Limestone. The formation does not occur continuously throughout the entire Eagle Ford deposition and varies in thickness. Whereas the lateral extent still remains unknown, it has previously been mapped across the San Marcos Arch. The geophysical and geochemical properties of this member create drilling stability issues if encountered while drilling horizontal Eagle Ford wells. To further understand its geomechanical properties, two hand-held devices will be used on cores taken near the San Marcos Arch that contain the Maness Shale to determine rock strength variations of the Eagle Ford section. The Equotip Bambino is a micro-rebound hammer that provides hardness data values that can be used to estimate unconfined compressive strength. The dimpler is a micro-indentation device that infers rock strength by generating a “dimple” created by the tool and then measuring the depth and diameter of the dimple. These measurements are then correlated on graphs against the unconfined compressive strength for the regional Eagle Ford. The Maness has a neutron density range of 20-30%, indicating a high clay content. The x-ray diffraction (XRD) will be used to determine the content of the clay minerals. Geophysical well logs have been collected and correlated across the San Marcos Arch region; the initial maps identified the thickest Maness interval within the Karnes trough.

The sequence stratigraphy of Middle to Upper Pennsylvanian strata in the Appalachian Basin is complex, partly owing to the icehouse co-response to climate and sea level change during the late Paleozoic. The Breathitt Group resembles a traditional marine-to-terrestrial sequence stratigraphic model. The overlying Conemaugh Group also exhibits sequences, but they are more fluvial-dominated. Sequence stratigraphy largely presumes sea-level drive for sequences and accommodation. We present a model that is driven by both sea level and climate. We hypothesize that once the land surface is built up high enough above the water table, it is not required that sea level drop to induce valley incision, and in fact there is no evidence for a shelf slope break that would promote incision. Instead, we offer that climate change may be the main driver of valley incision.
This model is tested using strata in the Breathitt and Conemaugh Groups in the Northern and Central Appalachian Basin. Measured sections along a basin cross section in outcrop and 3D models built from UAV photographs help reveal this past environment to address the potential of climate change as a sequence driver.
The Breathitt to Conemaugh Group shift records a composite of sequences that are a progradational basin-fill and define a switch from a mixed marine and fluvial to fluvial fill. The Conemaugh sequences record upward shifts from a low-accommodation, valley-incised tributive to a high-accommodation, un-incised distributive systems tract. As a marine transgression tops the low-accommodation valleys below, it lays a basal peat which floods the tributive system. Next, the rivers in the distributive fluvial system prograde and push out the shore, as well as build a slope above sea level. This aggradation creates an elevated coastal prism. Continued progradation creates the elevation needed for valley incision, but this progradation need not cause incision, even if sea level falls. A climate change will eventually spur water table reduction owing to a locally drier climate, or an upstream water-sediment ratio change. Valley incision begins at that time, and possibly with no change in sea level. In this model, regression with or without sea level drop sets up the conditions needed for valley incision, but does not cause incision itself. Incision waits for adequate climate change to generate buffer valleys. The valleys record regression but are climate driven and do not have to define sea-level change.

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.

Due to the logistical challenges and the dynamic nature of fluvial systems, studying modern point bar deposits over formative time periods is difficult. Seasonal and annual changes in precipitation can greatly influence the rate at which deposition is recorded. The lack of accurate sediment-package dating makes it difficult to compare sedimentation rates to actual chronostratigraphic events such as floods. This study combines photogrammetry, mapped surface migration, a survey of sediment elevation change, a trench, and water discharge rates to develop a more complete understanding of how a point bar forms on an annual scale. The Powder River, Montana, USA, which has little influence from engineering, offers a unique opportunity to study a seasonally exposed point bar and how its internal architecture and surface features form through time.
The study area is along the Powder River between Moorhead, Montana, USA, and Broadus, Montana, USA. The Powder River is a northward flowing, meandering river that is sourced from the Bighorn Mountains in northeast Wyoming, USA and is a tributary to the Yellowstone River. Point bar PR141A, the focus of this study, is the result of the neck cut-off of point bar PR141 during a 50 year flood in 1978. The sediment elevation survey is conducted annually, with a few exceptions, at centimeter scale to determine sediment elevation change and the building and erosion of the point bar. The survey is applied to the architectural-element analysis of the sediment packages within the point bar to compare time with sediment deposition.
This study reconstructs the growth of point bar PR141A, its discrete accretionary architecture at the scale of years, and determines the inter-relationship between annual flooding events and bar accretion. The sediment survey timeline shows that on average the river builds one accretionary body per yearly flood cycle. On occasion, the river builds multiple bodies during the year or can take several years to build one accretion set. The change in the accretion set building period is attributed to changes in river flow. The continual change of deposit direction, grain size distribution, erosion, and reshaping of the bar surface between accretion events leads to fragmentation of the point bar body, vastly different from the textbook model of a point bar. The detailed study of how a modern point bar forms lends insight into the fragmentation of fluvial hydrocarbon reservoir bodies.

The Eagle Ford Shale (EFS) was deposited on the South Texas Shelf in the Late Cretaceous, during a time of widespread marine transgression. With industry interest in the EFS, an understanding of the geology and depositional environment of these rocks is imperative to maximize well results. For the study, a section of the EFS was measured and described in detail in Heath Canyon, Brewster County, Texas. Lithostratigraphy, biostratigraphy, and mechanical stratigraphy were determined via outcrop and elemental composition was determined from sample collection and lab analysis. Data suggests the EFS was deposited in a potentially anoxic environment below storm-wave base on the South Texas Shelf.

Quantifying source-to-sink sediment flux for stratigraphic systems is critical for accurate basin models, but all available methods are hampered by low precision and most require data not readily attained by common subsurface studies. The Fulcrum approach uses the variables of channel bankfull thickness and grain size to calculate sediment bankfull discharge and converts this to an annual sediment volume. The Fulcrum approach uses commonly collected data but similarly yields only approximate flux estimates. In order to calculate a more precise source-to-sink estimate for long basin durations, the amount of time the fluvial systems runs at bankfull flow and the annual proportion of sediment discharged during this bankfull flow must also be determined. By categorizing fluvial systems by attributes such as drainage area and paleoclimate at the time of discharge, a more specified and accurate bankfull flow duration and total bankfull sediment discharge is estimated. We constructed a database that stores and categorizes these data and a user interface (RAFTER: River Analogue and Fulcrum Transport Estimates Repository) to query and display this data. Daily stream gauge data spanning decades is used in conjunction with measured bankfull values from literature to populate the datasets for the database and derive stream specific data attributes. This bankfull flux searchable database evaluates stream gauge data for modern fluvial systems according to classes such as climate setting and is also a useful tool for identifying analog stream data scaled to drainage basin and channel size. It evaluates designated parameters of days within a year that the river runs at bankfull flow, as well as the yearly proportion of sediment discharged over bankfull duration. The database can thus yield a more accurate value for duration at bankfull flow and sediment discharge at bankfull from modern rivers that can be used as an analog for stratigraphic rivers with interpreted climate and size parameters. Results show a key breakdown in bankfull duration, with arid and tropical rivers on the order of a fraction of a day per year, boreal climates tending to be an order of magnitude longer, and temperate climates still longer. Categorizing stratigraphic rivers by known climate and other parameters can lower the total error in sediment flux from paleohydrology by a geometric factor.

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.

Understanding of the wound healing process can be used to make more tailor-made medicine and to determine the nature of this healing process. In this research we use MATLAB software along with the ADI method to solve a partial differential equation that models wound healing by treating keratin as a diffusion process. A significant hurdle to overcome is finding the appropriate initial conditions, that is to accurately extract boundary data from photos taken with different equipment, lighting, or resolution.

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.

An algebraic curve is a one-dimensional set defined by polynomial equations, such as a parabola in the plane (given by y-x^2=0) or the z-axis in the space (given by x=y=0). Let Y be an algebraic curve. Then a multiplicity structure on Y is another curve Z, which as a set has the same points as Y but with a higher and fixed multiplicity at each point. For example, the y-axis in the plane is given by the equation x=0 and if we intersect it with horizontal lines, say with y-b=0, we get the points (0,b) on the y-axis. Now if we take the line given by x^2=0 and intersect it with the horizontal lines as above we get the points (0,b) with multiplicity 2. Hence we call the later curve a double structure on the previous one. Similarly the equation x^3=0 gives a triple structure on the y-axis in the plane and so on. Structures like these might sound naive but they are crucial to understand the behaviors of families of curves. For example, the family of parabolas ty-x^2=0 deforms into the double line x^2=0 as t approaches 0. Although the notion of multiplicity is pretty geometric, we can use tools from abstract algebra to make it rigorous. This makes the subject challenging and yet very interesting at the same time. Classifying the multiplicity structures on a curve is still a wide open field in algebraic geometry. It is now well understood how the double and triple structures on a line look. A natural question then arises how do the double and triple structures look on conics? It turns out that the answers are much more complicated than for lines. In this poster I am going to show some of my research in that direction.

An algebraic integer is a complex number that is a root of a polynomial with integer coefficients and a leading coefficient of 1. This includes numbers like the square root of 2 and the cube root of 10, for example. A field is a set in which we can add, subtract, multiply, and divide (among other details). Consider the set of all algebraic integers in any given field containing the rational numbers. The index of an algebraic integer in this set is a natural number that measures how close the algebraic integer is to generating the set. For instance, the imaginary number i (the square root of -1) is an algebraic integer which generates the set of all complex numbers of the form a + bi where a and b are integers, and so has index 1. The closer the index is to 1, the closer the algebraic integer is to generating the set. We investigate these indices in cubic fields, determining not only which numbers occur as indices in given families, but also that the minimal index is unbounded as one traverses the set of all cubic fields in those families.

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.

Nearby, the Large Magellanic Cloud galaxy (LMC), has ejected massive amounts of gaseous material, some of which is headed toward the Milky Way. The material consists of ionized hydrogen gas which is a consequence of significantly energetic events that have occurred in the LMC. Such events are not only the cause of the ionized material, but also the immense amount of material being thrown out. This ejected wind holds a substantial amount of information regarding both galaxies in general and the LMC’s physical processes. Studying this ionized outflow will reveal new details concerning the internal processes that produce such massive ejections, the potential for galactic outflows to replenish gas reservoirs for future star formation, and the environments surrounding galaxies. The latter will influence our view of a galaxy’s environment and how it may interact with nearby neighbors such as our Milky Way galaxy.