Digital Commons Network^™

Computational Comparison Of Medializing Tibial Tubercle Osteotomy And Trochleoplasty In Patients With Trochlear Dysplasia, Clare K. Fitzpatrick, Robert N. Steensen, Oliver Alvarez, Amy E. Holcomb, Paul J. Rullkoetter

Mechanical and Biomedical Engineering Faculty Publications and Presentations

Medial patellofemoral ligament reconstruction (MPFLR) has emerged as the procedure of choice for recurrent patellar dislocation. This addresses soft tissue injury but does not address underlying anatomic factors, including trochlear dysplasia, that are commonly present and increase risk of dislocation. Quantification of the stability offered by other surgical interventions, namely, medializing tibial tubercle osteotomy (mTTO) and trochleoplasty, with and without MPFLR, may provide insight for surgical choices in patients with trochlear dysplasia. We developed subject-specific finite element models based on magnetic resonance scans from a cohort of 20 patients with trochlear dysplasia and recurrent patellar dislocation. The objectives of this …

Towards Nuclei Segmentation With Limited Annotations, Mohammad Minhazul Haq

Computer Science and Engineering Dissertations - Archive

Nuclei segmentation is a fundamental but challenging task in histopathology image analysis. For semantic segmentation of nuclei, Convolutional Neural Network (CNN), and Vision Transformer (VT) models give very promising results. However, to successfully train fully-supervised CNN and VT models we need significant amount of annotated data which is highly rare in biomedical domain. Also, collecting an unannotated histopathology dataset first, and then manually doing pixel-level labeling is expensive, time-consuming and tedious process. Therefore, we require to discover a way for training nuclei segmentation models with unlabeled datasets. In this thesis, I present my work towards solving this critical problem by …

Investigating The Effect Of Peephole Optimizations On Binary Code Differences, Xiaolei Ren

Computer Science and Engineering Dissertations - Archive

ABSTRACT: Binary diffing is a technique used to compare and identify differences or similarities in executable files without access to source code. The potential applications of binary diffing in various software security tasks, such as vulnerability search, code clone detection, and malware analysis, have generated a vast body of literature in recent years. One of the recurring themes in binary diffing research is the evaluation of its resilience against the impact of compiler optimization, which is the most common source of syntactic differences in binary code. Despite that most binary diffing tools claim that they are immune to compiler optimization, …

On-Line Environment Adaptation For User Performance Optimization, Subharag Sarkar

Computer Science and Engineering Dissertations - Archive

In today’s fast-paced and globally connected world, businesses are creating products with more significance to user personalization and customization. This has amplified the importance of capturing and learning user preferences as more information from users can lead to the designing and development of products that will improve user engagement and performance. Numerous algorithms based on collaborative filtering and recommender systems have been used to learn user preferences, but almost all of them require big datasets to train on. This creates a dependency on collecting more and more user information which might lead to ethical considerations and privacy concerns. To solve …

Book Review: Philip Ball. The Water Kingdom: A Secret History Of China, Robert Bedeski

Comparative Civilizations Review

Over centuries scores of sinologists have sought to define the essence of China. Philip Ball addresses and goes well beyond the materialist paradigm of Karl Wittfogel’s hydraulic thesis, which described the role of water management in China as stimulating state development. In his theory, government emerged as the central institution to manage transportation, flood control and irrigation. Ball also sees water management as critical in Chinese civilization and injects his description with spiritual and moral content, drawing on poetry, art, biography and extensive reference to historical events. His book is an exploration of the role of water in China’s culture, …

Seismic Analysis Of The Upper & Lower Falls Of The Yellowstone River, Loring Schaible

Earth and Planetary Sciences ETDs

Twelve years of concurrent hydrologic and continuous seismic data along with temporary seismic data demonstrate that the Upper and Lower Falls of the Grand Canyon of the Yellowstone River comprise a highly localized source of 0.5-5 Hz seismic energy that overwhelms anthropogenic contributions. In aggregate, seismic amplitude from 2008-2019 is linearly related to discharge with a correlation coefficient of 0.96. Repeated deviations from this linear relationship persist for 1-2 weeks prior to the date that Yellowstone Lake becomes clear of winter ice coverage. Seismic efficiency increases by ~50-250% during this period of ice-breakup, during which lake ice flows into the …

Prevention And Reversal Of Elastin-Associated And Phosphate-Dependent Arterial Calcification Using Targeted Nanotherapeutics In Pre-Clinical Models, Fatema Tuj Zohora

All Dissertations

Vascular calcification can be life-threatening, involving calcium phosphate crystal deposits in the blood vessels. The calcification in the intimal layer of the arterial wall is usually associated with atherosclerotic plaque build-up that, in the advanced stage, harbors ‘dispersed’ and ‘spotty’ deposits of calcium phosphate crystals in the necrotic core of the plaque. In contrast, medial arterial calcification (MAC) can form independently of atherosclerosis and appears as ‘Railroad-like’ calcific deposits along degraded elastin lamellae in the medial layer of arteries. The mechanisms of such elastin-associated medial arterial calcification and potential therapies are the key concerns of this dissertation. MAC is common …

The Economic Impact Of Oil And Gas Production In The Permian Basin, Aditi Sarkar

Economics ETDs

The dissertation aims to analyze the economic and social consequences of unconventional oil and gas (UO&G) production in the Permian Basin, located in southeastern New Mexico and West Texas. The first paper focuses on the effect of methane reduction regulations imposed by the United States (US) government on the production of natural gas and the drilling of new wells. Specifically, the question asked is “what is the impact of methane reduction regulations on the drilling of new wells and the production of natural gas over a 40-year time horizon?” I develop dynamic optimization in a system dynamic setting to assess …

Near- And Far- Field Optical Response Of Ensembles Of Nanostructures, Lauren Zundel

Physics & Astronomy ETDs

The ability of metallic nanostructures to support collective oscillations of their conduction electrons, known as surface plasmons, makes them attractive candidates for a wide range of applications in areas as diverse as cancer therapy, biosensing, and solar energy harvesting. These applications are especially promising for periodic arrays of nanostructures, which can support collective modes known as lattice resonances, and for nanostructures with extreme aspect ratios that give rise to enhanced light-matter interaction. In this Thesis, we employ a coupled dipole model to theoretically explore the lattice resonances supported by complex arrays of nanoparticles containing multiple nanoparticles per unit cell. We …

Distinguishing Servant Leadership From Transactional And Transformational Leadership, Seth-Aaron Martinez, Nahari Leija

Organizational Performance and Workplace Learning Faculty Publications and Presentations

Problem

The scholarship of leadership abounds with the affordances, limitations, antecedents, and outcomes associated with the different theories in Human Resource Development (HRD) literature. However, a clear delineation between the host of individual leadership theories does not exist. Absent is a nuanced view of the similarities, differences, and any overlap between the various leadership theories. Without a clear understanding of the relationships between leadership theories, knowing when to apply which theories and when becomes difficult.

Solution

A systematic review of the literature surrounding servant leadership (SL) through 2022 was conducted to position SL among the more extensively researched transactional and …

Uav-Based Quantification Of Dynamic Lahar Channel Morphology At Volcán De Fuego, Guatemala, Jerry C. Mock, Jeffrey B. Johnson, Armando Pineda, Gustavo Bejar, Amilcar Roca

Geosciences Faculty Publications and Presentations

This study quantified erosional and depositional processes for secondary lahars in Las Lajas drainage at Volcán de Fuego, Guatemala, during the rainy season from May to October 2021. Abundant pyroclastic material from ongoing eruptive activity is remobilized seasonally during heavy precipitation, which can impact infrastructure and populations living near Fuego. Our region of focus was in an agricultural zone 6 to 10 km from the summit, surveyed with an unoccupied aerial vehicle (UAV) quadcopter at monthly intervals. Imagery was processed into overlapping time-lapse structure from motion digital elevation models (DEMs). DEMs were differenced to find volumetric changes as a function …

Predicting Dynamic Fragmentation Characteristics From High-Impact Energy Events Utilizing Terrestrial Static Arena Test Data And Machine Learning, Katharine Larsen, Riccardo Bevilacqua, Omkar S. Mulekar, Elisabetta L. Jerome, Thomas J. Hatch-Aguilar

Student Works

To continue space operations with the increasing space debris, accurate characterization of fragment fly-out properties from hypervelocity impacts is essential. However, with limited realistic experimentation and the need for data, available static arena test data, collected utilizing a novel stereoscopic imaging technique, is the primary dataset for this paper. This research leverages machine learning methodologies to predict fragmentation characteristics using combined data from this imaging technique and simulations, produced considering dynamic impact conditions. Gaussian mixture models (GMMs), fit via expectation maximization (EM), are used to model fragment track intersections on a defined surface of intersection. After modeling the fragment distributions, …

Subject-Specific Human Knee Fea Models For Transtibial Amputees Vs Control Tibial Cartilage Pressure In Gait, Cycling And Elliptical Training, Ali Yazdkhasti

Master's Theses

Millions of individuals around the globe are impacted by osteoarthritis, which is the prevailing type of arthritis. This condition arises as a result of gradual deterioration of the protective cartilage that safeguards the ends of the bones. This is especially true of transtibial amputees, who have a significantly higher incidence of osteoarthritis of the knee in their intact limb than non-amputees. Engaging in regular physical activity, managing weight effectively, and undergoing specific treatments can potentially slow down the advancement of the disease and enhance pain relief and joint function. Nevertheless, the relationship between the type of exercise and its impact …

Theoretical And Experimental Study Of Active Magnetic Bearing Control Integrated On Bently's Rotor Kit, Arturo Mario Flores

Master's Theses

This thesis focuses on the comprehensive study of controlling a customized Active Magnetic Bearing (AMB) installed on Bently Nevada’s RK4 rotor kit in Cal Poly’s Vibrations and Rotordynamics Lab. The AMB was uniquely designed and manufactured by a Cal Poly senior project team to fit Bently’s rotor kit and the results of this research are distinctive to the custom system. To achieve practical functionality of the AMB system, we designed a controller a Virtual Instrument (VI) using the National Instrument software, LabVIEW. From the experimental study, we calibrated the programming to find unknown parameters of the AMB system and validated …

Web Based Management System For Housing Society, Likhitha Reddy Eddala

Electronic Theses, Projects, and Dissertations

Web Based Management System for Housing Society plays a major role in our day-to-day life. We develop a global web dependent application using AngularJS, Node JS and MySQL, with Xampp as the server to make an effective management system. This system is designed to provide a user-friendly and efficient platform for managing all the details of daily notices, monthly meetings, events, payments, maids etc., This system mainly consists of three modules, they are: Admin, User and Security. Each module here serves specific features and functionalities present within society. Admin module provides the features for managing user, houses, security, maids, notices, …

Geospatial Wildfire Risk Prediction Using Deep Learning, Abner Alberto Benavides

Electronic Theses, Projects, and Dissertations

This report introduces a thorough analysis of wildfire prediction using satellite imagery by applying deep learning techniques. To find wildfire-prone geographical data, we use U-Net, a convolutional neural network known for its effectiveness in biomedical image segmentation. The input to the model is the Sentinel-2 multispectral images to supply a complete view of the terrain features.

We evaluated the wildfire risk prediction model’s performance using several metrics. The model showed high accuracy, with a weighted average F1 score of 0.91 and an AUC-ROC score of 0.972. These results suggest that the model is exceptionally good at predicting the location of …

Comparing The Effectiveness Of Different Boosting Algorithms For Ground Water Quality In Telangana Region, Divy Jot

Electronic Theses, Projects, and Dissertations

This culminating experience research project explores the parameters needed to predict the water quality levels for use in different climatic conditions pre and post monsoon from 2018 to 2020 in Telangana State, India. A study was conducted on the water quality analysis by using linear regression with water quality Index in Telangana region. However, in this study we are replicating the water quality analysis by using stack model and machine learning algorithms such as Light Gradient Boosting Machine, Random Forest and Artificial Neural Network. The research Questions are: (Q1) What are the sources of the significant parameters that impact groundwater …

Contactless Food Ordering System, Rishivar Kumar Goli

Electronic Theses, Projects, and Dissertations

Contactless food ordering has revolutionized the way a customer interacts with restaurants by allowing them to place orders and make transactions. Through these web-based platforms, customers can now browse menus, customize orders, and make payments seamlessly. By scanning the restaurant’s QR code, customers can reserve a table. If the table is available, then automatically it will be reserved. However, if the table is occupied the customer will be added to the waiting list. Once the customer selects desired food then they can securely make payments based on ordered food items. The food will be delivered straight to the customer's table. …

Finserv Android Application, Harsh Piyushkumar Shah

Electronic Theses, Projects, and Dissertations

The FINSERV Android application is a mobile tool designed for individuals to manage and track their finances. In financially complex world, many people struggle to maintain a clear overview of their income, expenses, and financial goals. This application aims to bridge that gap by providing users with a powerful and user-friendly platform to efficiently monitor and optimize their personal finances.

With the Personal Finance Tracking Android Application, users can effortlessly track their income and expenses, categorize transactions, and gain valuable insights into their spending patterns. The application offers features such as expense categorization and real-time expense tracking.

To enhance usability …

Genetic Programming To Optimize Performance Of Machine Learning Algorithms On Unbalanced Data Set, Asitha Thumpati

Electronic Theses, Projects, and Dissertations

Data collected from the real world is often imbalanced, meaning that the distribution of data across known classes is biased or skewed. When using machine learning classification models on such imbalanced data, predictive performance tends to be lower because these models are designed with the assumption of balanced classes or a relatively equal number of instances for each class. To address this issue, we employ data preprocessing techniques such as SMOTE (Synthetic Minority Oversampling Technique) for oversampling data and random undersampling for undersampling data on unbalanced datasets. Once the dataset is balanced, genetic programming is utilized for feature selection to …

Transaction Management Sysyem For A Publisher, Hassain Shareef Mohammed Jr

Electronic Theses, Projects, and Dissertations

Managing the day-to-day operations of a publishing house isn't easy. For example, it's hard to keep track of stocks, manage vendor orders, and maintain transaction records. Our project titled Transaction Management System aims to solve these problems by offering a single tool that helps standardize and digitize publishing operations. It assists in automating and improving the efficiency of the various processes involved in a publishing house. The Transaction Management System is a full-stack web application that can be accessed through an internet browser. The user experience and interface are simple and easy to use so that users can find information …

Statistical Analysis And Machine Learning To Improve League Championship Series Teams, Alexander Gilles

Electronic Theses, Projects, and Dissertations

ABSTRACT

One area for further study in Esports is the use of advanced analytics from a performance standpoint. This culminating experience project sought to find and implement effective performance analytics techniques, using the most popular Esport (League of Legends) as its subject. The research questions asked are (Q1) How do champions, players, and their associated in-game variables impact the results of League of Legends matches? (Q2) How can machine learning algorithms be implemented to utilize descriptive and predictive analytics for League of Legends most effectively? Additionally, while not an element of the analysis and machine learning model, it is important …

Hsp70 And Hsp22 As Toxicity Bioreporters In Drosophila Melanogaster, Zakkary Hudson

Electronic Theses, Projects, and Dissertations

Of the over 80,000 chemicals used commercially in the United States, few have had sufficient safety and toxicological information collected. To further reduce animal usage, methods that will lessen reliance upon traditional animal toxicology testing and increase the usage of alternative, high throughput toxicology screening methods are being explored. One such method is the utilization of biomarkers and bioreporters in model organisms such as Drosophila melanogaster. The biomarkers, HSP22 and HSP70 have been successfully utilized in various studies involving Drosophila melanogaster bioreporter constructs to evaluate chemical toxicity. In this study, both an in vivo and in vitro HSP22 and …

Time's Up: Against Shortening Statutes Of Limitation By Employment Contract, Meredith R. Miller

Villanova Law Review (1956 - )

No abstract provided.

Lightweight Blockchains And Their Network Impact On Vehicular Ad-Hoc Network-Based Blockchain Applications, Edgar Bowlin

Electronic Theses and Dissertations

Vehicular Ad-hoc Networks (VANETs) provide networks for smart vehicles and will enable future systems to provide services that enhance the overall transportation experience. However, these applications require consideration to possible damage to both property and human life. Communication between vehicles requires data immutability and user privacies to provide safe operation of the system. Blockchains can provide these properties and more to create a more secure and decentralized system. However, a chain’s security comes from the chain length. VANETs’ ephemeral connections provide harm limits how much data can be exchanged during vehicle rendezvous. This thesis investigates lightweight blockchains that operate with …

Effect Of Implementing Psychosocial Interventions As Pen Pals In General Chemistry, Kristofer Felix Kintner Reiser

Dissertations

General Chemistry has a high DFWI rate, disproportionately impacting students of marginalized identities (Anderson & Kim, 2006). This research investigates the hypothesis that the impacts of stereotype threat and imposter syndrome could be moderated by sharing with others through a pen pal activity. This embedded mixed method study recruited participants who were general chemistry students at a public university in the Rocky Mountain region over two years (n= 264). Participant affect was measured using the Measure of Chemistry Identity (Hosbein & Barbera, 2020), Theories of Intelligence Scale (Dweck, 2000), Chemistry Attitudes and Experiences-Self Efficacy (Dalgety et al., 2003), and general …

Impacts Of Internship Experiences On Professional Identity Development For Undergraduate Women Of Color In Engineering, Kathleen Victoria Armstrong

Dissertations

Women of color are historically underrepresented in STEM, specifically the field of engineering (National Science Board, National Science Foundation, 2019). In considering ways to assist in women of color’s retention and persistence in engineering, it is necessary to recognize the role internships, a form of experiential education, at the undergraduate level impact professional identity development. The purpose of this study was to understand how internship experiences shape professional identity development for undergraduate women of color in engineering. Using a constructivist epistemology, a theoretical framework integrating social cognitive theory and intersectionality, and an interpretive methodology; the researcher utilized semi-structured interviews and …

Energy-Aware Coordination Of Automated Vehicles, Nathan Goulet

All Dissertations

Energy is an inherently limited resource for two reasons: the sources utilized to obtain energy are limited; and the methods used most often to convert energy also generate pollutants that the planet has a limited capacity to absorb or compensate for without adverse effects. Efficiently utilizing energy is, therefore, an important topic. As around 16% of the energy consumed in the United States is by light vehicles, a significant impact can be made if vehicle energy consumption is reduced. The advent of connected and automated vehicles offers unprecedented opportunities to optimize their behavior with respect to energy consumption through trajectory …

Belonging By Design: The Exploration Of Architecture Learning Environments And Their Role In The Sense Of Belonging And Field Identity Of Black Architecture Students, Stacy Scott

All Dissertations

This research offers a comprehensive analysis of the various dimensions of belonging, isolation, and the role of identity in architecture learning environments (ALEs) for Black architecture students. In a multi-site case study, the study analyzes the experiences of Black students in the habitus that forms these ALEs at three universities with fifteen participants. Through qualitative investigation and thematic analysis, this research evaluates the obstacles these students face when endeavoring to establish meaningful connections.

The results of this study provide a greater understanding of the impact that isolation, lack of representation have on students and the significance of support-seeking activities in …

Applications Of Large Eddy Simulations To Novel Internal Combustion Concepts, Patrick O'Donnell

All Dissertations

Computational fluid dynamics (CFD) simulations of internal combustion engines (ICEs) are becoming an increasingly popular tool in the automotive industry to either explain experimentally observed trends or perform lower cost design iterations. The convenience of commercially available CFD software and advancements made in computing hardware have been the impetus behind this growing popularity. However, obtaining accurate results using these software packages is not a trivial process and requires an in-depth understanding of the underlying numerical methodology and sub models for various physical phenomena. Specific to the ICEs, CFD simulation often entails the use of models for detailed chemistry and combustion, …