Filter and Sort







INTR2018LUCAS11885 INTR

Spark: Smart Parking for an Interconnected Campus

Type: Undergraduate
Author(s): Blake Lucas Engineering
Advisor(s): Liran Ma Computer Science

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.

View Presentation

MATH2018DOAN62209 MATH

A Numerical Approximation for Eigenvalues of Hyperbolic Polygons

Type: Undergraduate
Author(s): Thinh Doan Mathematics
Advisor(s): Ken Richardson Mathematics

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.

View Presentation

MATH2018HOWELL16095 MATH

Analyzing Differences in Personality Structure by Age Using Topological Data Analysis

Type: Undergraduate
Author(s): Jacob Howell Mathematics
Advisor(s): Eric Hanson Mathematics

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.

(Presentation is private)

NTDT2018BENEDICT28698 NTDT

SENSORY ACCEPTABILITY OF VEGAN INGREDIENT SUBSTITUTIONS IN ICE CREAM

Type: Undergraduate
Author(s): Nicholle Benedict Nutritional Sciences Chandler Bourff Nutritional Sciences Maria Martinez Nutritional Sciences
Advisor(s): Anne VanBeber Nutritional Sciences Lyn Dart Nutritional Sciences

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.

View Presentation

NTDT2018BOUNLUTAY27968 NTDT

The Transformation of Views and Knowledge of Plant-Based Diets of University Students Throughout the Course of Education and Exposure

Type: Undergraduate
Author(s): Alby Bounlutay Nutritional Sciences Jane Speaker Nutritional Sciences
Advisor(s): Anne VanBeber Nutritional Sciences

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.

View Presentation