Engineering Commons^™

Adverse Childhood Events, Safety, & Comfort: Associations With Adolescent Symptoms, C. Skaggs, M. Howard, T. Pangallo, Shari L. Kidwell

2023 Celebration of Student Scholarship - Poster Presentations

A PowerPoint that accompanied a oral presentation.

Leadership Initiatives International Public Health Internship Program, Brooklyn Adams, Mahathi Siripurapu, Jennifer Nguyen, Landon Pritchett, Josh Day, Jeremyah Cabrera, Rox Lockard, Rachel Rogers

2023 Celebration of Student Scholarship - Poster Presentations

In a nine-month internship for Leadership Initiatives, our team worked together to develop and implement an international public health campaign to address major health concerns prevalent in the region of Bauchi State, Nigeria. Our topic was the issue of selfmedication and its effects among the community. We launched a campaign to collect survey data and develop an educational workshop for the project.

The Impact Of Early Identification Of Declining Patients: A Quality Improvement Study, Courtlyn Salyers, Kyla Wilson, Cedric Meadows, Savannah Sizemore, Savannah Thompson, Gg Ferguson, Payton Mcglone, Leah Moore, Jordan Sims, Suzi White

2023 Celebration of Student Scholarship - Poster Presentations

This presentation focuses on the prevalence of failure to rescue in healthcare, that we have evidenced in the clinical setting. Proper identification of declining patient health plays a major role in early intervention, resulting in a positive patient outcome. Analyzing common themes in these issues provided a “bigger picture” of the need for proactive patient care.

Craft Academy Solar Electric Racing: The Building Of A Solar Car, Bray Paynter, Sophia Day, Casey Hovis, Hailey Castle, Hope Meyers, Landon Ray, Rachel Rogers, Joyce Stubbs, Steve Stubbs

2023 Celebration of Student Scholarship - Poster Presentations

The Solar Car Challenge is a nationwide program in which high school and college students design and build a car powered by solar panels, competing at Texas Motor Speedway or in a cross-country race. In the Spring of 2021, The Craft Academy for Excellence in Science and Mathematics founded a Solar Car Team called Craft Academy Solar Electric Racing (CASER).

First Examination Of Palynolgy Across The K-Pg Boundary In The Jackson Purchase Region Of Kentucky, Maeve Mccarty, Jarred Asselta, Gary Stinchcomb, William Lukens, Ingrid Romero, Matthew Pound, Jen O’Keefe

2023 Celebration of Student Scholarship - Poster Presentations

This study examines the Independence School section of the K-Pg Boundary, which is located in a creek cutbank exposure in Carlisle County, in the Jackson Purchase region of Kentucky. This section has not otherwise been examined since 1980 and has not previously been palynologically studied in detail. Specifically, we are examining the Owl Creek and upper McNairy Formations, deposited as Maastrictian-age sediments and the Clayton Formation, deposited as Danian- age sediments, in a mosaic of onshore, nearshore, and coastal environments (Tschudy, 1970; Olive, 1980). The site was relocated by G. Stinchcomb and students from Murray State University in 2020 and …

Santa Clara Magazine, Volume 64 Number 1 Spring 2023 [Print Issue 62:2], Santa Clara University

Santa Clara Magazine

16 - A BRIDGE TO TOMORROW How one university can change the world when it widens the path to opportunity. SCU Staff

22 - THE INTERNET'S LAST TRUE BELIEVER For more than two decades, Law Professor Eric Goldman has been one of the most influential legal voices fighting for the ’net. Chris O’Brien

26 - OPPORTUNITY ON SET Meet five Broncos who scored the opportunity of a lifetime—production assistants on an indie film crew—via Professor Nico Opper. Nicole Calande

28 - SPIRITUAL SOUP With a little bit of this, a dash of that, and a sprinkling of something else, humans …

2023- The Twenty-Seventh Annual Symposium Of Student Scholars

Symposium of Student Scholars Program Books

The full program book from the Twenty-seventh Annual Symposium of Student Scholars, held on April 18-21, 2023. Includes abstracts from the presentations and posters.

Colorimetric Redox Reactions To Determine Base Composition In Unknown Monomeric Dna Samples, James T. Dials, Mara J. Stout, Elizabeth M. Thomas

2023 Celebration of Student Scholarship - Poster Presentations

Deoxyribonucleic acid (DNA) codes for proteins using a unique order of four major nitrogenous bases adenine, thymine, cytosine, and guanine. In several biological applications, such as the determination of DNA stability, production of biologic based drugs, and even taxonomic reorganization of species, it becomes necessary to understand the relative amounts of each nucleotide in a DNA sample, regardless of their sequence. However, most assays used to determine base composition use expensive equipment, harsh chemicals, and advanced computer software. In addition, the determination of base composition is an important educational tool in undergraduate laboratories, but these limitations are infeasible for many …

2022-2023 Program And Abstracts: Celebration Of Student Scholarship, Morehead State University. Undergraduate Research Fellowship Program.

2023 Celebration of Student Scholarship - Poster Presentations

The 2022-2023 Program and Abstracts for the Celebration of Student Scholarship at Morehead State University held on April 19, 2023. A Showcase of Student Research, Scholarship, Creative Work, and Performance Arts.

Geopolitics Of Semiconductor Supply Chains: The Case Of Tsmc, Us-China-Taiwan Relations, And The Covid-19 Crisis, Aditya Sehgal

Independent Study Project (ISP) Collection

As the demand for more advanced forms of technology continues to grow, so does the global importance and reliance on semiconductors. This research paper examines the impact of semiconductor shortages on both consumer and military production, as well as the geopolitical implications embedded within the global supply chain.

The paper begins by providing an overview of semiconductors, the global semiconductor market, and the impact of COVID-19 on the industry’s supply chain. It also discusses the importance of the Taiwan Semiconductor Manufacturing Company (TSMC) in the industry and its role in addressing semiconductor shortages.

Next, the paper discusses the impact of …

Healthcare Disparities Among Incarcerated Populations: A Quality Improvement Project, Mariam Bradley, Morgan Callihan, Sandra Frederick, Riley Hall, Marty Helms, Aaliyah Manson, Katelyn Martha, Madison Mason, Suzi White

2023 Celebration of Student Scholarship - Poster Presentations

A population that has been consistently subject to unequal treatment when receiving medical attention is the population of prisoners or jail inmates. It is essential to explore the discrepancies prisoners face and the effects it has on their health. The objective of this research was to bring to light the disparities incarcerated patients experience, and how to eliminate these. In order to develop a better understanding of the prejudiced actions incarcerated patients face in the healthcare spectrum, numerous studies have been analyzed.

Are Gender And Social Disparities Associated With Stem Persistence In Kentucky Colleges?, Riley E. Hicks, Wilson Gonzalez-Espada

2023 Celebration of Student Scholarship - Poster Presentations

Children have the right to receive a quality education, but concerns about county disparities in school funding, facilities, and resources exist. This is known as the "zip code effect". Because high school STEM classes require lab space, materials, equipment, and specialized teachers, disparities in school funding can impact students who want STEM careers.

Visual Pollution Classification Using Convolutional Neural Networks, Jacob Vogelpohl, Heba Elgazzar

2023 Celebration of Student Scholarship - Poster Presentations

Visual pollution is an impairment on an individual's ability to enjoy their surroundings. It usually takes the form of a messy and chaotic environment that can cause overstimulation of the visual senses. This includes trash, advertisements, construction, electric cables, and similar objects. Convolutional Neural Networks (CNNs) are a form of artificial intelligence that use supervised learning to process and classify images. In this research, a CNN processed images of city streets and classified them as polluted or not polluted based on the visual characteristics that it learned from during its training period. The CNN achieved a training accuracy of 98% …

Predicting The Mechanism And Products Of Cs2 Capture By Nh3 - An Exemplar Benchmark Study, Shelbie A. Black, David A. Dixon, Zachary R. Lee

2023 Celebration of Student Scholarship - Poster Presentations

Carbon disulfide is a toxic gas emitted from industrial plants and a common greenhouse gas. Acute poisonings from carbon disulfide are rare, but recurring exposure to low doses can have long term health effects. Currently, there are two approaches being considered for the removal of acid gas pollutants: (1) sequester these gases from the atmosphere or (2) remove these gases directly upon combustion (post-combustion). Potential energy surfaces (PES) for a series of CS2 capture reactions by NH3 in the presence H2O were calculated at the MP2/a(D+d) evel in the gas phase. G3(MP2) and FPD calculations are in progress. Extensive thermodynamic …

A Simulation Of The Impacts Of Climate Change On Civil Aircraft Takeoff Performance, Thomas D. Pellegrin

Doctoral Dissertations and Master's Theses

Climate change affects the near-surface environmental conditions that prevail at airports worldwide. Among these, air density and headwind speed are major determinants of takeoff performance, and their sensitivity to global warming carries potential operational and economic implications for the commercial air transport industry. Previous archival and prospective research observed a weakening in headwind strength and predicted an increase in near-surface temperatures, respectively, resulting in an increase in takeoff distances and weight restrictions. The main purpose of the present study was to update and generalize the extant prospective research using a more representative sample of worldwide airports, a wider range of …

Investigating The Detriment Of Development Assistance: A Geopolitical Analysis Of Sino-Djibouti Relations Through The Lens Of China’S Belt And Road Initiative, Elizabeth Elenwo-Roger

Independent Study Project (ISP) Collection

This research paper will evaluate Africa’s past with debt accumulation, focusing on the role of the Washington Consensus spearheaded by the Bretton Woods Institutions in its failed attempts to relieve the continent’s debt distresses and further aggravate Africa’s already fractured relationship with the West. It will highlight the goals of the Belt and Road Initiative, assessing China’s South-South cooperation approach to its relations with Djibouti and the Horn of Africa. Specifically, it will investigate claims of China engaging in debt-trap diplomacy and the extent to which this term infringes upon the agency of African leaders. The general research question investigates …

An Investigation Into The Economic Useful Life Of Commercial Aircraft As Impacted By Maintenance And Economic Variables, Robert Gallagher

Doctoral Dissertations and Master's Theses

This research involved examining the economic useful life of commercial aircraft and the impact of maintenance and economic variables on the viability and longevity of the asset. The data sample consisted of the entire population of Boeing commercial aircraft produced between 1956 and 2021. The objective was to determine the effect of both maintenance and economic variables on the longevity and usefulness of commercial aircraft. As manufacturers work with issues such as service life, economic life, safety, and critical design features, those in the aviation community focus on the operational side of the equation––how long can one operate the asset, …

Sustainable Small House Project, Mollie Jo George

UNO Student Research and Creative Activity Fair

The Sustainable Small House Project was developed in cooperation with UNO/UNL Engineering, UNO Gerontology, and Metro Community College. This project merges both sustainable living with the small house movement to promote aging-in-place for older adults. This presentation describes the journey of Dr. Bing Chen as he envisioned the Sustainable Small House Project to its development and finally to implementation at its current location--west of Baxter Arena or adjacent to the UNO ballfield.

From a gerontological lens, the project focuses on principles of universal design which allows for aging-in-place, fall-detection and prevention using smart technologies such as Nobi, and voice-activated technologies …

Self-Learning Algorithms For Intrusion Detection And Prevention Systems (Idps), Juan E. Nunez, Roger W. Tchegui Donfack, Rohit Rohit, Hayley Horn

SMU Data Science Review

Today, there is an increased risk to data privacy and information security due to cyberattacks that compromise data reliability and accessibility. New machine learning models are needed to detect and prevent these cyberattacks. One application of these models is cybersecurity threat detection and prevention systems that can create a baseline of a network's traffic patterns to detect anomalies without needing pre-labeled data; thus, enabling the identification of abnormal network events as threats. This research explored algorithms that can help automate anomaly detection on an enterprise network using Canadian Institute for Cybersecurity data. This study demonstrates that Neural Networks with Bayesian …

The Santa Clara, 2023-03-17, Santa Clara University

The Santa Clara

No abstract provided.

Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)

Library Philosophy and Practice (e-journal)

Abstract

Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …

The Impact Of Case Management Intervention For Insured Asthma Patients In Louisiana, An Empirical Study, Mohamed Mohamed Ohaiba

LSU Doctoral Dissertations

Asthma is a chronic condition whose symptoms are managed/prevented using medication and interventions. The overarching objective of this study was to evaluate the impact of patients' demographics on case management enrollment and healthcare utilization, as well as to develop machine learning models to predict high-cost patients.

To accomplish these goals, the Man-Whiteness test, the chi-squares test, logistic regression and odds ratios, and machine learning models were implemented. The average cost of the non-enrolled CM group was significantly higher than the enrolled group (p-value .0001). In addition, the non-enrolled groups had considerably more visits to the emergency department than the other …

Private Pete Fights Illiteracy At Fort Ontario: The Men In Charge, Christian Wright, Adrian Mandzy

2023 Celebration of Student Scholarship - Poster Presentations

From June of 1943 to February of 1944, the 1210th Special Training Unit at Fort Ontario in Oswego, New York taught pre-basic military training to thousands of illiterate, slow learning, and non-English-speaking soldiers in the United States Army. The training center at Fort Ontario conducted programs in disciplinary barracks, specialized military, technical, academic and vocational education.

Classification Of Road Objects Using Convolutional Neural Networks, Mann Patel, Heba Elgazzar

2023 Celebration of Student Scholarship - Poster Presentations

Driving is the primary means of transportation for many people around the world. Whether the use is to assist human drivers or create autonomous driving, the use of machine learning can create safer road conditions. Drivers must consider other objects on the road, most commonly other vehicles and pedestrians. These three components, road signs, pedestrians, and vehicles, make up a large majority of objects that a driver will encounter when on the road. This research applies machine learning algorithms, specifically Convolutional Neural Networks (CNN), to classify these road objects. The goal is to create a classification model that can reliably …

The Role Of Year And Animal Origin On Key Determinants Of Ewe Longevity, Audrey Burton, Annika Weaver, Rebekah Mills, Flint Herrelson, Patricia Harrelson

2023 Celebration of Student Scholarship - Poster Presentations

The MSU sheep flock is an Innovation Flock in the Sheep GEMS project through the University of Nebraska-Lincoln. The Sheep GEMS project is a national, multi-breed project that is focused on evaluating different sheep breeds and their longevity in different climates. As a participant, we collect/send raw data that is compiled. Our preliminary data from the 2022 (Year 1) and 2023 (Year 2) lambing season has been included. We collected measurements from Katahdin ewes (n = 38; 1-4.5 years old). We measured fecal egg counts (FEC), FAMACHA scores, body condition scores (BCS), teat and udder scores. Using the MIXED procedures …

Rate Effects In Aircraft Learning Curves, Caleb J. Ahern

Theses and Dissertations

Across the Department of Defense (DoD), a wide variety of analytical tools are employed by cost analysts to estimate weapon system costs. One of the techniques widely employed by practitioners is the learning curve (LC). Although learning curves have been widely studied, using rate-adjustments or production rate effects (PRE), their usage have only intermittently been evaluated in place of using the traditional learning curve. Previous studies analyzing production rate found mixed results. This research aims to examine aircraft production data to determine if production rate model is preferrable in United States Air Force programs. Additionally, this PRE research seeks to …

Air Force Cadet To Career Field Matching Problem, Ian P. Macdonald

Theses and Dissertations

This research examines the Cadet to Air Force Specialty Code (AFSC) Matching Problem (CAMP). Currently, the matching problem occurs annually at the Air Force Personnel Center (AFPC) using an integer program and value focused thinking approach. This paper presents a novel method to match cadets with AFSCs using a generalized structure of the Hospitals Residents problem with special emphasis on lower quotas. This paper also examines the United States Army Matching problem and compares it to the techniques and constraints applied to solve the CAMP. The research culminates in the presentation of three algorithms created to solve the CAMP and …

Feasibility Of Funding Construction-Related Projects With Cryptocurrencies, Farbod Pourdehmobed

Construction Management

The current method of acquiring funds for construction projects consists of loans and/or a board of investors. With the emergence of the cryptocurrency industry in the past five to ten years, an influx of cash has been inserted into the market and is simply being held captive by government regulations. With development and construction being an attractive investment for most anyone, these "crypto billionaires" are insistent on financing possible projects. The issue lies within the construction industry and the possibly outdated financial system and whether it is capable of adhering to certain requirements that come with the usage of crypto …

Parental And Family Leave In The California Construction Industry, Hailee Malins

Construction Management

Struggles between work life balance often result in lower levels of job and life satisfaction, and higher rates of inefficiency and employee turnover, with varying impact on employees based on seniority, gender and parenthood. Policies such as paid parental leave have shown positive effects on work life balance, but there is a lack of information on leave policies within the American construction industry. Focusing on California, this research aimed to determine employee's understanding, use and acceptance of these leave policies. Using a survey, we gain a better understanding of these goals. Rates of confidence in knowledge of paternal and family …

Cost Estimating Relationships For Recurring T100 Flyaway Costs, Kyrie M. Rojo

Theses and Dissertations

This research investigates a dataset of over 80 Air Force and Navy aircraft and applies regression techniques to create two cost estimating relationships (CERs) for predicting recurring T100 flyaway costs, depending on where in the acquisition lifecycle the estimate takes place. The first CER explains 89 percent of the variation in the dataset and can be applied prior to Milestone B (MS B). The second CER explains 88 percent of the variation in the dataset and can be applied between MS B and MS C. Significant cost drivers identified include stealth, cohort, empty weight, the natural log of speed, legacy …