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ENGR2017THACH58782 ENGR

Trajectory tracking in unmanned electric vehicles

Type: Undergraduate
Author(s): Bao Thach Engineering Irene Kwihangana Engineering
Advisor(s): Morgan Kiani Engineering

In this research project, the aim was to create a small, self-operated robot car to transport items. In addition, the robot-car can generate a distance when traveling through unknown places, and self-locate them in the next travels. The student authors hope that this robot car can be used to physically communicate and send medical supplies between severe patients and doctors in hospitals.

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GEOL2017WALKER20025 GEOL

Geochemistry of the Albian Kiamichi Formation of East Texas

Type: Undergraduate
Author(s): Jessica Walker Geological Sciences
Advisor(s): Richard Denne Geological Sciences

This study involved the examination of core samples from the Lower Cretaceous aged Kiamichi Formation of the East Texas Basin in order to interpret its organic and elemental geochemistry using various techniques. The Kiamichi Formation may have the potential to be a source rock for hydrocarbons, and may be a plausible target for oil and gas companies to produce using unconventional techniques. Since this formation has yet to be thoroughly analyzed, this project has lead to further understanding of its potential by using techniques such as handheld x-ray fluorescence tool to estimate for the abundance of rare earth elements and trace metals, as well as a CHNS analyzer to determine the amount of organic carbon of the formation. Upon completion of the sample analysis, this geochemical information about the Kiamichi Formation provides beneficial information for further research on the overall Kiamichi Seaway.

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INTR2017BARONI49831 INTR

Influence of Isolation Stress on Aβ Production and Cognitive Function in 5xFAD mice

Type: Undergraduate
Author(s): Nick Baroni Interdisciplinary Micah Eimerbrink Psychology Kelsey Paulhus Biology Julia Peterman Psychology Morgan Thompson Biology Jordon White Psychology
Advisor(s): Gary Boehm Psychology

Influence of Isolation Stress on Aβ Production and Cognitive Function in 5xFAD mice Baroni, N. J.,1 Peterman, J. L.1, White, J. D.1, Eimerbrink, M. J.1, Paulhus, K. C.2, Thompson, M. A.2, Chumley, M. J.2 & Boehm G. W.1,
1Department of Psychology, Texas Christian University
2Department of Biology, Texas Christian University
Alzheimer's Disease (AD) is a devastating neurodegenerative disease that affects nearly 44 million people worldwide, and is increasing exponentially in prevalence. Thus, research into its causes and prevention is crucial. Transgenic mouse models of Alzheimer's disease are often used to better study AD pathology. These mice have genetic mutations that result in heightened production of amyloid beta (Aβ), a pathological hallmark of AD. It has been well established that stress can influence AD pathology. This study investigates how isolation stress influences the production of amyloid beta in 5xFAD transgenic mice. In addition, we investigated whether isolation stress impacts cognition in the contextual fear conditioning (CFC) paradigm. The mice were group-housed or isolated for both 2 and 3 months, followed by cognitive testing and tissue collection. Specifically, we utilized histochemistry to examine Aβ plaque counts and an ELISA to examine soluble Aβ production. We found that isolated 5xFAD+ mice had significantly more amyloid beta plaques than group-housed animals. 5xFAD+ mice isolated for 3 months also displayed a cognitive deficit in contextual fear conditioning. All together, our results support the research that isolation stress influences Aβ production and cognitive function, and extends that to the 5xFAD transgenic mice.

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INTR2017CALCAGNO9574 INTR

Prior exposure to repeated LPS injections prevents further accumulation of hippocampal-beta-amyloid

Type: Undergraduate
Author(s): Alexa Calcagno Psychology Philip Crain Psychology Micah Eimerbrink Psychology Amy Hardy Biology Kelsey Paulhus Biology Julia Peterman Psychology Morgan Thompson Biology Jordon White Psychology
Advisor(s): Gary Boehm Psychology Michael Chumley Biology

Alzheimer’s Disease (AD) is a neurodegenerative disease currently affecting about 5.5 million Americans, and the number of people affected may rise as high as 16 million by 2050. Characteristic AD pathology of deteriorating cognitive function is correlated with neurofibrillary tangles of tau protein and Amyloid-beta (Aβ) plaques. Aβ is a peptide resulting from cleavage of the Amyloid Precursor Protein (APP) primarily present within neuronal cell membranes. The Aβ peptide can be cleaved at different lengths, but Aβ1-42 is the most neurotoxic. Aβ1-42 primarily aggregates in the hippocampus, where it further stimulates the release of cytokine proteins initiating an inflammatory response. Previous studies in our lab have shown that short-term inflammation induced by injection of lipopolysaccharide (LPS) leads to an inflammatory response that stimulates production of Aβ1-42 peptides. The goal of this project was to determine whether this effect could be exacerbated through a second injection series of LPS after a fourteen-day recovery interval, thus modeling multiple, independent, bacterial infections, like that seen in humans. The animals were given 7 days of 250 mg/kg LPS or saline injections, a two-week break, and another 7 days of LPS or saline. Contrary to what was predicted, Aβ levels were not potentiated. This effect was found to be related to decreased inflammatory response upon secondary administration of LPS, as IL-1β mRNA was significantly lower in the group that got two rounds of LPS. Current studies of our lab are evaluating whether these results are related to the presence of antibodies to LPS or a specific tolerance mechanism.

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INTR2017NGUYEN65117 INTR

An IoT-based Real Time Low Cost Monitoring and Notification System for Aged Care

Type: Undergraduate
Author(s): Quang Nguyen Computer Science
Advisor(s): Sue Gong Physics & Astronomy Liran Ma Computer Science

The challenge of taking care of aged patients who lost control of their bladders and bowel movements is to respond to the patients’ needs in a timely manner, which often requires a caretaker (e.g. a family member or a hired assistant) to stay on watch 24/7. In light of advance in cloud computing, we present a real-time low-cost monitoring and notification system that can continuously monitor the patients bedding condition, detect the conditions that help is needed and notify the care-takers. The system consists of TI SensorTags, Raspberry Pis, and IBM Bluemix. The TI SensorTag is a sensing device, while Raspberry Pi acts as a messenger receiving data collected by TI SensorTags via Bluetooth technology and transmitting the data to Bluemix, a cloud-based platform developed by IBM, via WiFi.

The system frequently senses bedding conditions of patients. Data is uploaded to a server residing on IBM Cloud, which processes data and sends appropriate notifications. The availability of cloud technology and small signal processing units, as well as advance in sensor technologies, allow us to build a low-cost system that can help caregivers address the patients’ needs effectively. As a result, the quality of care for patients is improved.

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