Engineering Commons^™

Genes Repressed After Dna Damage In Acinetobacter Baumannii Are Co-Regulated By Umudab And Ddrr, Mollee Flannigan, Xiaohong Li, Eric Rouchka, Deborah Cook, Janeele Hare

2022 Celebration of Student Scholarship - Poster Presentations

UmuDAb and DdrR coregulate error-prone polymerases in the multi-drug resistant opportunistic pathogen, Acinetobacter baumannii, by repressing polymerase expression until after DNA damage. New evidence indicates that these proteins may also regulate other genes that are repressed following DNA damage. We performed an in silico analysis of RNA-Seq data from wild-type, ddrR, and umuDAb mutant strains to examine the expression levels of genes repressed after DNA damage. We used two different algorithms to analyze Cuffnorm- and HTSeq normalized gene counts. This analysis revealed nineteen (CuffDiff) or twenty-nine (DESeq2) genes repressed in wild-type cells that were derepressed after DNA damage in either …

Comfort Women: The Climax That Exposed Japanese Culture, Olivia Dale, James Masterson

2022 Celebration of Student Scholarship - Poster Presentations

When a nation attempts to erase the history of a marginalized group, the preservation of such narratives becomes critical. The genuine culture of a nation is exposed when that which officials attempted to hide is analyzed. The comfort women scheme conducted by the Imperial Japanese Government serves as an example of this phenomenon. The comfort women system was more than sex trafficking; it was the climax of a sexist society. Japan had a long history of organized prostitution before the Second World War, but during the conflict, the demeaning actions committed against women extended beyond the nation. The Japanese government …

Analytical Method Development For The Analysis Of E-Liquids, Calista Dean, Charlotte Gabbard, Emma Schmittzehe

2022 Celebration of Student Scholarship - Poster Presentations

Electronic cigarettes are one of the most commonly used methods of nicotine delivery, especially among the adolescent population. Due to the lack of regulation in manufacturer labeling of refillable nicotine solutions (e-liquids), the actual concentration of nicotine and other additives is variable as compared to the reported values. Misreporting of nicotine content is a contributor in the development of nicotine dependency and potentially tobacco product dependency. The objective of this research is to develop reliable analytical methods to study the variations in nicotine levels in e-liquids, and to identify and quantify other potentially harmful additives in e-liquids. In this research …

Understanding The Nonlinear Dynamics Governing Vertical-Lift Vehicles With Variable-Speed, Fixed Rotors, Stephanie Vavra, Micah Busboom, Aleea Stanford, Keegan Moore

UNL Student Research Days Posters, Undergraduate

Problem: Traffic significantly limits travel in urban areas. • The NASA Urban Air Mobility Project is developing an air taxi as an alternative mean of transportation (Fig. 1).

Challenge: Operating rotors at different frequencies may cause the cabin to vibrate at high amplitudes. Such effects are currently unknown.

Objective: Understand the effect of variable speed rotors on passenger comfort.

From the reduced-order modeling simulations, it can be assumed that counteracting the rotor speed in-balances can reduce the displacement and vibrations experienced at the center of the wing. In other words, should a rotor not maintain its optimal operation speed, reducing …

Mechanical Behavior Of Materials, Joshua P. Steimel

Pacific Open Texts

This text serves to cover in more detail solid mechanics concepts and specifically the material response to stress and strain. This text spans solid mechanics concepts from stress and strain at an atomistic length scale, to linear elasticity, anisotropy, linear viscoelasticity, plasticity, dislocation generation and interactions, and fracture.

Quasi In-Situ Ebsd Analysis Of Twinning-Detwinning And Slip Behaviors In Textured Az31 Magnesium Alloy Subjected To Compressive-Tensile Loading, Yuzhi Zhu, Dewen Hou, Qizhen Li

Materials Science and Engineering Faculty Publications and Presentations

Twinning and detwinning behavior, together with slip behavior, are studied in a textured AZ31 magnesium alloy under compressive and tensile strains along the rolling direction (RD) after each interrupted mechanical test via quasi in-situ electron backscattered diffraction technique. The results show that twinning firstly takes place under the compressive strain along the RD. With the increasing compressive strain, {1012} tensile twins firstly nucleate, then propagate, and finally thicken. While under a reversed tensile strain along the RD, detwinning occurs. No nucleation happens during detwinning. Thus, tensile twins can detwin at lower tensile strain, followed by thinning, shortening, and vanishing. Slips …

A Low-Cost, Long-Range, And Solar-Based Iot Soil Quality Monitor, Salvador Garcia, Trina Nguyen, Julian Wong

Electrical and Computer Engineering Senior Theses

The project objective is to create a low-cost, long-range, and solar-based IoT soil quality monitoring system. The system must transmit packages of data gathered from separate nodes, consisting of two different types of sensors, to a centralized gateway receiver to be displayed to the user in an elegant and readable manner. The end goal of the project is to supplement produce grown by large agricultural bodies around the United States without the misuse of water resources. This report presents the need for this system, details the components of the system, and the rationale behind design choices. It serves as a …

Comparing Microplastic Amounts In Southern Freshwater Sources, Akshi Puvvada, Zora Paschel, Patrick Yu

Expo Student Presentations

2022 Spring Expo Poster Presentation

Cmos Sensor Image-Acquisition And Image- Processing Control System Architecture, Haruka Kido

Electrical Engineering Student Publications

This report demonstrates an assessment of a PCAM camera module’s OV5640 CMOS sensor image-acquisition electrical circuit network system and hardware implementation for associated FPGA-modulated image-processing techniques using Digilent’s Zybo Z7-20 development board’s FPGA (Zynq 7000 SoC). By comparison between the control system architectures of 2 proposed Active Pixel CMOS sensor electrical network configurations (both 1 Row 1-Column Select Implementations) using electrical network transfer function derivations, time responses, Root Locus Plots, Bode Plots, and their system characteristics as preliminary analyses, FPGA-modulation of the CMOS sensor through image format adjustment is developed as an example of image properties adjustment enabled by the …

In-Situ Calibrated Digital Process Twin Models For Resource Efficient Manufacturing, David Adeniji, Julius Schoop

Mechanical Engineering Faculty Publications

The chief objective of manufacturing process improvement efforts is to significantly minimize process resources such as time, cost, waste, and consumed energy while improving product quality and process productivity. This paper presents a novel physics-informed optimization approach based on artificial intelligence (AI) to generate digital process twins (DPTs). The utility of the DPT approach is demonstrated in the case of finish machining of aerospace components made from gamma titanium aluminide alloy (γ-TiAl). This particular component has been plagued with persistent quality defects, including surface and sub-surface cracks, which adversely affect resource efficiency. Previous process improvement efforts have been restricted to …

K-Means Clustering Using Gravity Distance, Ajinkya Vishwas Indulkar

Masters Theses & Specialist Projects

Clustering is an important topic in data modeling. K-means Clustering is a well-known partitional clustering algorithm, where a dataset is separated into groups sharing similar properties. Clustering an unbalanced dataset is a challenging problem in data modeling, where some group has a much larger number of data points than others. When a K-means clustering algorithm with Euclidean distance is applied to such data, the algorithm fails to form good clusters. The standard K-means tends to split data into smaller clusters during a clustering process evenly.

We propose a new K-means clustering algorithm to overcome the disadvantage by introducing a different …

Annual Report 2022, Brandy Mcknight, Estevan Garcia

College of Engineering and Science Annual Reports

Along with new faces, Fall Quarter always brings a sense of adventure to the College of Engineering and Science, Louisiana Tech, and Ruston. It's nice to see the buildings filled with students eager to begin a new year of studies. We've reached the point in the quarter when students and faculty have settled into a rhythm, and first-year engineering students are well on their way to fabricating their first projects. Seeing their progress and watching them become part of the Tech community is one of my favorite things about the fall. We have you to thank for that.

During the …

The Causal Fairness Field Guide: Perspectives From Social And Formal Sciences, Alycia Carey, Xintao Wu

Computer Science and Computer Engineering Faculty Publications and Presentations

Over the past several years, multiple different methods to measure the causal fairness of machine learning models have been proposed. However, despite the growing number of publications and implementations, there is still a critical lack of literature that explains the interplay of causality-based fairness notions with the social sciences of philosophy, sociology, and law. We hope to remedy this issue by accumulating and expounding upon the thoughts and discussions of causality-based fairness notions produced by both social and formal (specifically machine learning) sciences in this field guide. In addition to giving the mathematical backgrounds of several popular causality-based fair machine …

Quantitative Evaluation Of Steel Corrosion Induced Deterioration In Rubber Concrete By Integrating Ultrasonic Testing, Machine Learning And Mesoscale Simulation, Jinrui Zhang, Mengxi Zhang, Biqin Dong, Hongyan Ma

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Chloride-induced steel corrosion seriously affects the durability of reinforced concrete structures. Rubber concrete, an environmentally friendly construction material in which waste rubber is recycled as a concrete component, has demonstrated superior resistance to chloride-induced steel corrosion and the subsequent concrete deterioration. However, quantitative evaluation of the degree of deterioration in rubber concrete based on nondestructive detection is challenging due to the complexity of the material. In this paper, reinforced concrete specimens with rubber contents of 0, 10% and 20% are subjected to the electrochemically accelerated corrosion experiments and monitored by ultrasonic testing. Six machine learning models are trained by the …

Impact Of Polymer Rheology On Gel Treatment Performance Of Horizontal Wells With Severe Channeling, Jianqiao Leng, Mingzhen Wei, Baojun Bai

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Gel treatment has been a cost-effective method to control the conformance of a reservoir with severe heterogeneity problems. The water channels in such reservoirs can be classified as open fractures or high permeability porous media with pore-throat network. Many simulation studies have been conducted to discuss gel treatment performance for conformance control. However, nobody considered the polymer rheology difference in open fractures and porous media in simulation. Previous simulation studies also ignored the residual resistance factor as a function of rock permeability rather than a constant parameter. In this study, a conceptual simulation model was established to simulate the linear …

Coconut Oil Space Cooler, Hannah Covington, Alexander Fessler, Largim Zhuta

Mechanical Engineering Senior Theses

During summer months there is reliance on air conditioning (A/C), which is energy intensive in nature. The mass use of A/C units during peak hours taxes the energy grid significantly as a demand spike occurs during these peak hours. This demand spike requires an equal response in supply which disproportionately produces greenhouse gas emissions as reserve power plants come online to meet this demand. These reserve power plants, are relatively inefficient, and more expensive to run than base load plants. The Coconut Oil Space Cooler utilizes the latent thermal storage capabilities of phase change materials (PCMs) to provide a temporary …

Water Storage Analysis And Design Portfolio For Nocaima, Colombia, Philip Bortz, Lola Martin Uribe, Claudia Newell, Gisselle Paz-Ortiz

Civil, Environmental and Sustainable Engineering Senior Theses

In partnership with Santa Clara University Frugal Innovation Hub and the Institución Universitaria of Politécnico Grancolombiano, the project aims to provide a single household, self-managed, water storage solution for residents of rural Nocaima, Colombia. Currently, the impacts of climate change and the lack of a sufficient community water system threaten the water security of rural Nocaima and the livelihoods of its residents. Proposed are two rainwater collection and storage systems, one including slow sand filtration and tank storage system, and the other a retention pond that will not be filtered. Components of the solutions include collection, storage, and filtration systems, …

Saint Joseph Hall Retrofit, Jordan Masutomi, Martin Duran

Civil, Environmental and Sustainable Engineering Senior Theses

Santa Clara University has always strived to create a healthy and safe learning environment for students and faculty. The curriculum taught at the University empowers students, faculty, and staff to build a more humane, just, and safe world. With safety at the forefront of engineering ethics it is imperative that this is not only taught in our classrooms but also showcased in our campus infrastructure. Our project seeks to conduct a seismic retrofit for Saint Joseph Hall, a building that has served the Bronco community for over 100 years. In this paper we will discuss our investigation of old campus …

Evaluating Groundwater Storage Change And Recharge Using Grace Data: A Case Study Of Aquifers In Niger, West Africa, Sergio A. Barbosa, Sarva T. Pulla, Gustavious P. Williams, Norman L. Jones, Bako Mamane, Jorge L. Sanchez

Faculty and Student Publications

Accurately assessing groundwater storage changes in Niger is critical for long-term water resource management but is difficult due to sparse field data. We present a study of groundwater storage changes and recharge in Southern Niger, computed using data from NASA Gravity Recovery and Climate Experiment (GRACE) mission. We compute a groundwater storage anomaly estimate by subtracting the surface water anomaly provided by the Global Land Data Assimilation System (GLDAS) model from the GRACE total water storage anomaly. We use a statistical model to fill gaps in the GRACE data. We analyze the time period from 2002 to 2021, which corresponds …

Digital Versus Analog: How Well Do Audio Plugins Compare To Their Analog Counterparts, Aidan C. Mckernan

Honors Scholars Collaborative Projects

In the modern era, anyone can be an audio engineer. Recording equipment and microphones have never been more accessible to the consumer thanks to the rise of computers and digital signal processing. With the introduction of USB-powered audio interfaces, amateur artists can go from unknown to internationally viral overnight from the comfort of their own bedroom. With the introduction of audio plugins that model real analog recording equipment, professional audio engineers can take their work with them wherever they go. The ubiquity of computers has allowed such hardware and software to be priced competitively while retaining the precision required in …

Remote Crop Disease Detection Using Deep Learning With Iot, Ivy Chung, Anoushka Gupta

Electrical and Computer Engineering Senior Theses

Agriculture is such a vital part of our society, and according to the United Nations’ Food and Agricultural Organization (FAO), plant diseases are considered one of the two main causes of decreasing food availability. This paper explores not only the methods and findings of building a CNN-based disease detection model, but that of building a deployable remote crop disease detection system incorporating IoT technology. By using transfer learning with AlexNet, we were able to predict with 89.8% accuracy tomato plant images into one of the ten pre-defined disease classes. Our proposed system tracks plant health throughout the day by using …

Cost Efficient Radio Telescope, Nick Arroyo, Brian Benedicto, Tyler Ikehara

Electrical and Computer Engineering Senior Theses

This project aims to construct a smaller and less expensive radio telescope compared to traditional radio telescope designs by utilizing a Software Defined Radio (SDR). This is the first stage of a multi-year effort to bring radio astronomy capabilities to Santa Clara University. The implementation of this project includes designing and building a pyramidal horn antenna centered around the hydrogen line frequency of 1420 MHz. The project will also be comparing specifications of low noise amplifiers (LNA) and designing band-pass filters. Lastly, this project implements an SDR to process the signals received by the telescope to recreate a map of …

Identification Of Messenger Molecule For Immuno-Antibacterial Infection Drug Discovery With The Usage Of Bio-Ai, Minqiao (Lisa) Jin

Bioengineering Master's Theses

Facing the danger of Gram-positive bacterial infection, mammalian cells have their defense line. A functional proteomics study aided with Deep Learning indicates the direct interaction between collagen V from mammalian cell membrane and Sortase A which catalyzes the display of virulence factors on the gram positive bacteria. And CHO cell proteomes conducted with the use artificial intelligence via Tensorflow and found that the identified anti collagen V binds to Sortase A of S. aureus and regulates its monomer-homodimer equilibrium, which is responsible for the bacterial cell wall sorting activity. Our results suggest that the collagen V plays an instrumental role …

Engineering Stealthy Exosomes For Drug Delivery, Chris Olson, Mika Domingo

Bioengineering Senior Theses

Exosomes, a class of extracellular vesicles (EVs) are emerging as a new scientific and therapeutic tool for imaging, disease diagnostics, and drug delivery. Exosomes' excellent biological properties make them a strong candidate for surface modification as well as exogenous drug loading. While exosomes have excellent natural biocompatibility properties as well as low immunogenicity, they are still eliminated in the patient’s body through the immune system, mainly through phagocytosis by macrophages. In this report, we aim to aid exosomes in avoiding this elimination method by modifying them through surface display with antiphagocytic factors. We will use CD24 and CD47 “don't eat …

Financial Analysis Of Meta Platforms Inc, Anurag Yaddanapudi, Kaushik Chaudhary, Saumya Saxena

Engineering and Technology Management Student Projects

Web3.0 is the latest generation of internet, which is about decentralization and democratization, built on blockchain technology, high computer power and high-speed network. Metaverse overlaps with Web3.0 in terms of decentralization and is built on the same base technologies but talks about virtual realities and brings immersive experiences.

This study explores how the web has evolved over the years and analyzes the current market trends of Web3.0. The purpose of the study is to examine the investments made by Meta Platforms Inc. which is one of the market leaders of the Internet industry and provide an in-depth financial analysis by …

A Low-Cost And Low-Tech Solution To Test For Variations Between Multiple Offline Programming Software Packages., Steffen Wendell Bolz

Masters Theses & Specialist Projects

This research paper chronicles the attempt to bring forth a low-cost and low-tech testing methodology whereby multiple offline programming (OLP) software packages’ generated programs may be compared when run on industrial robots. This research was initiated by the discovery that no real research exists to test between iterations of OLP software packages and that most research for positional accuracy and/or repeatability on industrial robots is expensive and technologically intensive. Despite this, many countries’ leaders are pushing for intensive digitalization of manufacturing and Small and Mediumsized Enterprises (SMEs) are noted to be lagging in adoption of such technologies. The research consisted …

Foam-Based Floatovoltaics: A Potential Solution To Disappearing Terminal Natural Lakes, Koami Soulemane Hayibo, Joshua M. Pearce

Electrical and Computer Engineering Publications

Terminal lakes are disappearing worldwide because of direct and indirect human activities. Floating photovoltaics (FPV) are a synergistic system with increased energy output because of water cooling, while the FPV reduces water evaporation. This study explores how low-cost foam-based floatovoltaic systems can mitigate the disappearance of natural lakes. A case study is performed on 10%–50% FPV coverage of terminal and disappearing Walker Lake. Water conservation is investigated with a modified Penman-Monteith evapotranspiration method and energy generation is calculated with an operating temperature model experimentally determined from foam-based FPV. Results show FPV saves 52,000,000 m3/year of water and US$6,000,000 at 50% …

A Low-Cost, Long-Range, And Solar-Based Iot Soil Quality Monitor, Salvador Garcia, Trina Nguyen, Julian Wong

Interdisciplinary Design Senior Theses

The project objective is to create a low-cost, long-range, and solar-based IoT soil quality monitoring system. The system must transmit packages of data gathered from separate nodes, consisting of two dierent types of sensors, to a centralized gateway receiver to be displayed to the user in an elegant and readable manner. The end goal of the project is to supplement produce grown by large agricultural bodies around the United States without the misuse of water resources. This report presents the need for this system, details the components of the system, and the rationale behind design choices. It serves as a …

Accelerating Peripheral Nerve Regeneration Using Electrical Stimulation Of Selected Power Spectral Densities, Wei-Ming Yu, Madelyn Mccullen, Vincent Chiun-Fan Chen

Engineering Science Faculty Publications

Peripheral nerve injuries are common consequences of extremity trauma or chronic compression with a prevalence of 43.8 per 1 million people (on average) reported in the United States annually, accompanied by a yearly increase in cost of care. Patients suffering from these injuries require surgical procedures and rehabilitative strategies to reinforce their extensive recovery. Several studies have found that the application of electrical stimulation can accelerate peripheral nerve regeneration, thus shortening the time of peripheral nerve growth and reducing the cost of care (Willand et al., 2016). The electrical stimulation paradigms that effectively enhanced functional recovery in most studies employed …

Supetai Well Water Purification, Claire Russon, Geovanni Usher, Nicole Valdivia

Civil, Environmental and Sustainable Engineering Senior Theses

The rural Kenyan community of Oldonya Rasha had depended on water from a distant spring of unknown quality from which there have been reports of typhoid. A non-governmental organization, Sabore’s Well, built the centrally-located Supetai Well with the intention of solving the lack of accessible potable water, but due to high fluoride levels in the groundwater, this water source is unsafe. The team designed a water treatment system to be integrated into the existing well infrastructure that removes fluoride and pathogens to meet Kenyan and World Health Organization (WHO) water quality standards. The design includes dosage of alum and soda …