Digital Commons Network^™

From Leanstore To Learnedstore: Using A Learned Index To Improve Database Index Search, Sujit Maharjan

Computer Science and Engineering Faculty Publications - Archive

In the realm of database systems, optimizing B+-tree index performance is of paramount importance to overall database performance. LeanStore, a high-performance OLTP storage engine, has extensively optimized its in-memory B+-tree component as well as its B+-tree -indexed database on the disk. However, B+-tree's lookup time increases linearly with the tree height. This is especially problematic when all or part of its lookup path is on the disk. Recently proposed learned index technique has the potential to significantly improve the performance of the B+-tree -based index by predicting location of the search key, instead of the level-by-Ievel path walk. However, this …

Multi-Scale Characteriziation Of Pore Structure And Mass Transport In Natural Rocks, Xiaoqing Yuan

Earth & Environmental Sciences Dissertations - Archive

The mass transport process in porous natural rocks is notably influenced by the pore structure with both geometrical and topological attributes. Nevertheless, previous studies have not taken into consideration the sample size effect or the impact of diagenesis processes on petrophysical investigations of rocks, fluids, and rock-fluid interactions. Six rocks (one granodiorite, one limestone, two chalks, one mudstone, and one dolostone) with different extents of heterogeneity at six different particle sizes were studied to describe the effects of pore structure (especially connectivity) on mass transport. Thirteen geologically different rocks (two marbles, four fossiliferous limestones, six mudstones, and one sandstone) were …

Constructing Large Open-Source Corpora And Leveraging Language Models For Simulink Toolchain Testing And Analysis, Sohil Lal Shrestha

Computer Science and Engineering Dissertations - Archive

In several safety-critical industries such as automotive, aerospace, healthcare, and industrial automation, MATLAB/Simulink has emerged as the de-facto standard tool for system modeling and analysis, model compilation into executable code, and code deployment onto embedded hardware. Within the context of cyber-physical system (CPS) development, it is imperative to both rigorously test the development tools, such as MathWorks’ Simulink, and understand modeling practices and model evolution. The existing body of work faces limitations primarily stemming from two factors: (1) contemporary testing methodologies often prove inefficient in identifying critical toolchain bugs due to a paucity of explicit toolchain specifications and (2) there …

Infection Prediction In Swine Populations With Machine Learning, Avishai Halev, Beatriz Martínez-López, Maria Clavijo, Carlos Gonzalez-Crespo, Jeonghoon Kim, Chao Huang, Seth Krantz, Rebecca Robbins, Xin Liu

School of Computing Faculty Scholarship and Creative Works

The pork industry is an essential part of the global food system, providing a significant source of protein for people around the world. A major factor restraining productivity and compromising animal wellbeing in the pork industry is disease outbreaks in pigs throughout the production process: widespread outbreaks can lead to losses as high as 10% of the U.S. pig population in extreme years. In this study, we present a machine learning model to predict the emergence of infection in swine production systems throughout the production process on a daily basis, a potential precursor to outbreaks whose detection is vital for …

Graduate List - December 2023, University Of Nebraska At Omaha

Commencement Lists

No abstract provided.

Cnc Retrofits, Fabian Samano, Murat Askin, Daniel Lonczak, Zane Campise

Mechanical Engineering

The Boxford CNC Lathe is a machine used for educational purposes. The goal of the CNC Retrofits project is to improve the Boxford MT2’s performance and functionality to enable Mr. Lonczak to manufacture customized ballpoint pens. Within this Final Design Review (FDR) document, we present design updates since the CDR and implementation/assembly techniques. This work culminates in a solution to Mr. Lonczak’s needs which is analyzed in three subsystems: main control, spindle position tracking, and user interface. Within this report, we show the results of each subsystem’s verification process. These results prove that the design concept was met by describing …

Application Of A Stakeholder-Centric Project Management Methodology To The Development Of A Disaster Preparedness Plan For Turnagain Crossft Alaska, David Emory Sparks

Student Projects for Graduate Degrees

This research paper details the development of a comprehensive disaster preparedness plan for Turnagain CrossFit AK, showcasing a shift from the traditional top-down approach to a more inclusive, stakeholderfocused strategy. Recognizing the limitations of conventional disaster preparedness models, which often overlook the nuanced needs and insights of local communities, this study adopts a participatory approach, engaging directly with the people most affected by potential disasters. The methodology integrates a series of steps, beginning with a thorough literature review to establish a foundational understanding of best practices in disaster preparedness and risk management. The core of the study lies in its …

Application Of Project Management Tools And Techniques To Planning And Executing The Chugach Heritage Foundation Alumni Program Stand Up, Micah Ladd

Student Projects for Graduate Degrees

This project seeks to establish an Alumni Program for the Chugach Heritage Foundation. Chugach Heritage Foundation is a nonprofit arm of Chugach Alaska Corporation, an Alaska Native Corporation established under the Alaska Native Claims Settlement Act. Chugach Heritage Foundation provides scholarships and cultural education opportunities for eligible individuals. This project serves two significant purposes; the first is to allow program alums to remain engaged with the Chugach Heritage Foundation and to encourage giving back to the foundation. The second is to support CHF’s status as an operating foundation, which holds tax benefits CHF would greatly benefit from. Through this project, …

Computationally-Driven Insights Into The Ligand Environments Of Materials For Catalysis And Separations, Stephen Vicchio

All Dissertations

Designing new catalytic and sorption materials is necessary to limit global temperature rise below 1.5 ◦C by 2050, while also meeting global energy demands. Climate change and energy production are not mutually exclusive; global population growth has direct impacts on global energy demands and climate. In both catalysis and adsorption applications, new technologies are needed to address these challenges. Catalysis can provide alternate, low-energy routes for converting low-value gases into higher-value chemical commodities, thus altering our current energy production. Likewise, new sorption materials can capture previously emitted CO₂ from decades of energy production from fossil fuels, thus helping to …

174th Commencement, Fall

Commencement Programs

No abstract provided.

Examining Psychological Capital, Leader–Member Exchange, And Doctoral Student Connectedness, Regina Fowler Spiers

Dissertations

According to Young et al. (2019), doctoral programs in the United States in math, science, engineering, and humanities have a 36–51% attrition rate. Rigler et al. (2017) suggest that online doctoral students' attrition rates average between 50–70%. According to the International Affairs Office ([IAO]; 2020), the Doctor of Philosophy (PhD) is the highest academic degree in the United States. Universities award the degree to students who complete coursework to become a PhD candidate before completing and defending an independent research project, or dissertation (IAO, 2020). Relationship quality between PhD candidates and their supervisors is the most common research finding associated …

Genetic And Environmental Drivers Of Migratory Behavior In Western Burrowing Owls And Implications For Conservation And Management, Kelly Barr, Christen M. Bossu, Rachel A. Bay, Eric C. Anderson, Jim Belthoff, Lynne A. Trulio, Debra Chromczak, Colleen L. Wisinski, Thomas B. Smith, Kristen C. Ruegg

Biology Faculty Publications and Presentations

Migration is driven by a combination of environmental and genetic factors, but many questions remain about those drivers. Potential interactions between genetic and environmental variants associated with different migratory phenotypes are rarely the focus of study. We pair low coverage whole genome resequencing with a de novo genome assembly to examine population structure, inbreeding, and the environmental factors associated with genetic differentiation between migratory and resident breeding phenotypes in a species of conservation concern, the western burrowing owl (Athene cunicularia hypugaea). Our analyses reveal a dichotomy in gene flow depending on whether the population is resident or migratory, …

Moving Toward An Integrated Model Of The Father–Daughter Relationship During Adolescence, Rachel S. Blickman, Cynthia G. Campbell

Psychological Sciences Faculty Publications and Presentations

Objective

This study offers a structural model of father–daughter relationships from the perspective of adolescent daughters and identifies relational constructs that promote closeness in the dyad.

Background

The relationship between fathers and daughters is important to daughters' healthy development yet is vulnerable to tension and distance, particularly during adolescence. Drawing on areas of father involvement that make positive contributions to the lives of adolescent daughters, we propose a relational framework of the father–daughter dyad.

Method

Undergraduate females (N = 206) retrospectively reported on their relationship with their biological father during adolescence using an assessment tool developed for this study. …

Evaluating Digital Creativity Support For Children: A Systematic Literature Review, Marte Hoff Hagen, Daniela Soares Cruzes, Letizia Jaccheri, Jerry Alan Fails

Computer Science Faculty Publications and Presentations

Creativity, the process of creating something new and valuable, benefits children by improving their skills and development, encouraging interaction and engagement, and enabling the generation and expression of novel ideas. In recent years, interactive digital tools have emerged to support the user’s creativity in the open-ended creation of new artifacts. However, the question of evaluating the creativity happening in the interplay between children, digital tools, and products is still open. This systematic literature review investigated the evaluations of digital creativity support tools for children and identified 81 peer-reviewed relevant articles from the last 10 years. This research contributes to practitioners …

Surface, But Not Age, Impacts Lower Limb Joint Work During Walking And Stair Ascent, Thomas A. Wenzel, Nicholas L. Hunt, Amy E. Holcomb, Clare K. Fitzpatrick, Tyler N. Brown

Kinesiology Faculty Publications and Presentations

Older adults often suffer an accidental fall when navigating challenging surfaces during common locomotor tasks, such as walking and ascending stairs. This study examined the effect of slick and uneven surfaces on lower limb joint work in older and younger adults while walking and ascending stairs. Fifteen young (18–25 years) and 12 older (>65 years) adults had stance phase positive limb and joint work quantified during walking and stair ascent tasks on a normal, slick, and uneven surface, which was then submitted to a two-way mixed model ANOVA for analysis. The stair ascent required greater limb, and hip, knee, …

Statistical And Deep Learning Models For Reference Evapotranspiration Time Series Forecasting: A Comparison Of Accuracy, Complexity, And Data Efficiency, Arman Ahmadi, Andre Daccache, Mojtaba Sadegh, Richard L. Snyder

Civil Engineering Faculty Publications and Presentations

Reference evapotranspiration (ETo) is an essential variable in agricultural water resources management and irrigation scheduling. An accurate and reliable forecast of ETo facilitates effective decision-making in agriculture. Although numerous studies assessed various methodologies for ETo forecasting, an in-depth multi-dimensional analysis evaluating different aspects of these methodologies is missing. This study systematically evaluates the complexity, computational cost, data efficiency, and accuracy of ten models that have been used or could potentially be used for ETo forecasting. These models range from well-known statistical forecasting models like seasonal autoregressive integrated moving average (SARIMA) to state-of-the-art deep learning (DL) algorithms like temporal fusion transformer …

How Low Can You Go?: Widespread Challenges In Measuring Low Stream Discharge And A Path Forward, Erin C. Seybold, Anna Bergstrom, C. Nathan Jones, Amy J. Burgin, Sam Zipper, Sarah E. Godsey, Walter K. Dodds, Margaret A. Zimmer, Margaret Shanafield, Thibault Datry, Raphael D. Mazor, Mathis L. Messager, Julian D. Olden, Adam Ward, Songyan Yu, Kendra E. Kaiser, Arial Shogren, Richard H. Walker

Geosciences Faculty Publications and Presentations

Low flows pose unique challenges for accurately quantifying streamflow. Current field methods are not optimized to measure these conditions, which in turn, limits research and management. In this essay, we argue that the lack of methods for measuring low streamflow is a fundamental challenge that must be addressed to ensure sustainable water management now and into the future, particularly as climate change shifts more streams to increasingly frequent low flows. We demonstrate the pervasive challenge of measuring low flows, present a decision support tool (DST) for navigating best practices in measuring low flows, and highlight important method developmental needs.

Lighting The Fuses: The Third Circuit Loads A Volley Against Interface Copyright Ability In Pyrotechnics V. Xfx, Ryan Graham

Villanova Law Review (1956 - )

No abstract provided.

College Of Graduate Programs And Honors Studies Newsletter - December 2023, College Of Graduate Programs And Honors Studies, Wright State University

College of Graduate Programs and Honors Studies Newsletter

A five page newsletter created by the College of Graduate Programs and Honors Studies at Wright State University. This newsletter includes a upcoming events, message from the dean, and more.

Thermal Resistance Characterization Of High-Voltage Sic Power Module, Landon Lemmons

Mechanical Engineering Undergraduate Honors Theses

Researchers within the University of Arkansas Electrical Engineering Research Department have embarked on a project aimed at enhancing the thermal performance of high-voltage power modules. To aid in the progress of this project, the design, and development of a thermal tester device are needed. The primary objective of this device is to determine the various thermal properties of high-voltage power modules that the electrical engineering department has developed. Additionally, the project aims to facilitate electrical loading tests on power modules and provide researchers with the means to calibrate the power module in terms of thermal load. This project also possesses …

Context-Aware Temporal Embeddings For Text And Video Data, Ahnaf Farhan

Open Access Theses & Dissertations

Recent years have seen an exponential increase in unstructured data, primarily in the form of text, images, and videos. Extracting useful features and trends from large-scale unstructured datasets -- such as news outlets, scientific papers, and videos like security cameras or body cam recordings -- is faced with substantial challenges of volume, scalability, complexity, and semantic understanding. In analyzing trends, comprehending the temporal context is vital for uncovering patterns and narratives that are not apparent from a single video frame or text document. Despite its importance, many existing data mining and machine learning approaches overlook extracting evolutionary contextual features in …

Niobate Nanosheet Catalysts For Cationic Dye Intercalation And Solar-Driven Water Photolysis, Cassandra Idona Monárrez-Grendahl

Open Access Theses & Dissertations

With the goal of creating efficient visible light photocatalysts for water photolysis, in this work we are exploring the synthesis of new porous oxide materials derived from potassium triniobate (KNb3O8) and titanium niobium oxide (KTiNbO5), which are layered wide band gap semiconductors. Generating hydrogen via direct water photolysis holds promise as a way to lower the cost of hydrogen gas production so it can be used as a renewable and clean alternative fuel. My group has demonstrated that layered semiconductor materials have the potential to enable the synthesis of new types of photocatalyst composites with customizable characteristics. In this work, …

Developing Next-Generation Ecoinformatics Tools For Advancing Global Change Science, Ifeanyi H. Nwigboji

Open Access Theses & Dissertations

Ecosystems are responding to a variety of human-induced, interlinked stressors that have emerged from changing climate, alteration to the global water cycle, sea-level rise, and land use and land cover change, among others. Quantifying these changes and their associated impacts on ecosystems requires a huge amount of long-term data. Due to advances in data collection techniques, such as remote sensing platforms, environmental sensors, synthesized datasets, and various software technologies, the volume and variety of long-term ecological data being collected has tremendously increased. Although there are several complex models and analyses that are increasingly parametrized with data from such sensors, there …

Development Of Load Measurement Technique For Arbitrary Shapes, Quintin J. Cockrell

Master's Theses

Obtaining aerodynamic forces and moments about all three orthogonal axes for arbitrary shapes at arbitrary orientations in a fast manner via a measurement technique specific to Cal Poly’s low-speed wind tunnel to continually obtain the forces and moments under quasi-steady conditions is explored. A Continuous Rotation Technique (CR) uses a 6-DOF load cell and stepper motor to rotate an object about an axis for a complete rotation. The forces and moments acting upon the object pass through the stepper motor and interface plates and recorded by the load cell as the object is rotated continuously a finite number of rotations. …

Foundations Of Memory Capacity In Models Of Neural Cognition, Chandradeep Chowdhury

Master's Theses

A central problem in neuroscience is to understand how memories are formed as a result of the activities of neurons. Valiant’s neuroidal model attempted to address this question by modeling the brain as a random graph and memories as subgraphs within that graph. However the question of memory capacity within that model has not been explored: how many memories can the brain hold? Valiant introduced the concept of interference between memories as the defining factor for capacity; excessive interference signals the model has reached capacity. Since then, exploration of capacity has been limited, but recent investigations have delved into the …

Classification Of Thorax Diseases From Chest X-Ray Images, Sharad Jayusukhbhai Dobariya

Electronic Theses, Projects, and Dissertations

Chest X-ray images are crucial for medical decisions and patient care. However, their manual interpretation is time-consuming and prone to human error. This project aims to create an automated system that uses deep learning techniques to classify thorax disease from chest X-ray images. We are using the NIH Chest X-Ray Dataset, which contains many annotated images, as input data for this project. This approach uses UNet architecture as its classification layer. UNet architecture is well-known for its efficiency in image segmentation. Adding residual blocks enhances this approach's ability to classify images. The goal of this project is to create a …

Machine Learning For Kalman Filter Tuning Prediction In Gps/Ins Trajectory Estimation, Peter Wright

Electronic Theses, Projects, and Dissertations

This project is an exploration and implementation of an application using Machine Learning (ML) and Artificial Intelligence (AI) techniques which would be capable of automatically tuning Kalman-Filter parameters used in post-flight trajectory estimation software at Edwards Air Force Base (EAFB), CA. The scope of the work in this paper is to design and develop a skeleton application with modular design, where various AI/ML modules could be developed to plug-in to the application for tuning-switch prediction.

The Power Of An Effective Safety Culture, Justin B. Negley

Capstone Experience: Master of Public Health

Workplace injuries and illnesses have continued to decrease significantly through increased regulations, awareness, and technological advances. These enhancements are not enough to continue to drive these rates lower. A robust safety culture within an organization is required to truly affect change that will continue to diminish the occurrence of injuries and illnesses within the workplace. This project seeks to define the key aspects and elements that are fundamental to a culture of safety as a top priority amongst competing demands. The foundations of a robust safety culture were identified through a systematic literature review, a site comparison example of safety …

Applications Of Survival Estimation Under Stochastic Order To Cancer: The Three Sample Problem, Sage Vantine

Honors Program Theses and Research Projects

Stochastic ordering of probability distributions holds various practical applications. However, in real-world scenarios, the empirical survival functions extracted from actual data often fail to meet the requirements of stochastic ordering. Consequently, we must devise methods to estimate these distribution curves in order to satisfy the constraint. In practical applications, such as the investigation of the time of death or the progression of diseases like cancer, we frequently observe that patients with one condition are expected to exhibit a higher likelihood of survival at all time points compared to those with a different condition. Nevertheless, when we attempt to fit a …

Ordinal Logistic Regression Analysis Of The Frequency Of Marijuana Use Among Adult Informal Caregivers In 20 U.S. States, Behavioral Risk Factor Surveillance System (Brfss) 2021, Athena Plichta

Capstone Experience: Master of Public Health

Objectives. To examine the association between frequency of marijuana use among informal caregivers of persons with dementia (PWD) and other health conditions compared to non-caregivers in 20 U.S. states.

Methods. We used complex survey data from the optional modules Caregiver and Marijuana Use of the 2021 BRFSS survey. Univariate and bivariate analyses were performed to determine the frequency and distribution of sample population characteristics and calculate crude relationships. Ordinal logistic regression modelled the relationship between the three-level outcome and covariates.

Results. Frequency of marijuana use and caregiver status were not associated. There was no difference in increased use among individuals …