Digital Commons Network^™

Hedonics Of Used Car Attributes On Market Price, Alexander Bent, Jason Gutierrez

Undergraduate Economics Working Paper Series

This paper uses Rosen's paper on hedonic pricing as a framework to analyze the determinants of used car prices found in Craigslist. Using cleaned data, we observe over 43,000 listings from 2005 to 2020 and investigate factors that affect used car prices and how they interact in this market. Results show that odometer readings and condition are the strongest factors that determine price, while manufacturers, paint color, drive type, fuel type, size, and year have more ambiguous effects that depend on certain perceived attributes or conditions.

Key Determinants Of Diamond Value, Tobey Brill, Alexander Dobrovolskyi, Rayland Labayog

Undergraduate Economics Working Paper Series

This paper intends to examine the determinants of diamond pricing using a hedonic regression framework. Using the diamonds dataset from Wickham (2016), we analyze the four C’s, also known as carat weight, cut, color, and clarity. We also wanted to go deeper into this topic and look into the depth and table to see how it impacts diamond pricing. Results have displayed that carat weight greatly influences a diamond’s price, while characteristics such as clarity, color, and cut exert positive effects. Estimates were found to be statistically significant. Our findings confirm and reassure the idea that hedonic pricing accurately captures …

The Effects Of Neighborhood And Interior Characteristics On Residential Sale Prices, Ella Sophie Hagman

Undergraduate Economics Working Paper Series

This study analyses to what extent certain neighborhood and interior characteristics affect residential sale prices, after accounting for standard property variables. This is important to examine in order to understand the function of the housing market, the sources of price differences, and whether residential values can be controlled by prioritizing specific desirable property features. The study is based on a dataset of approximately 330,000 observations from the Multiple Listing Service (MLS), as well as walkability data obtained from Walk Score. The data is analyzed in Stata, using three regression models with different combinations of explanatory variables. The results show that …

Mlb Speed Premium, Jacob A. Keithley, Chris Hampton

Undergraduate Economics Working Paper Series

This study analyzes if the 2023 rule changes affected the valuation for speed in the MLB labor market. By using a log-linear wage model and including an interaction term for stolen bases and the post-2023 indicator, we test to see if there is a speed premium in salaries. After accounting for yearly effects, the results present a statistically significant increase in the marginal value of stolen bases after the rule change shock. A placebo test was used with home runs to confirm the effects were specific to speed related metrics. The results suggest that the MLB market has and is …

Do Rural Areas Gender-Discriminate Wages More Than Metropolitan Areas?, Ali Gonzalez, Michael Montano, Brandon Sacks, Joseph Williams

Undergraduate Economics Working Paper Series

This study analyzes the gender wage gap in metropolitan versus rural areas using U.S. hourly wage data from the Bureau of Labor Statistics (BLS), for the period 2010-2025. The analysis uses regressions on a semi-log wage model and Blinder-Oaxaca decompositions to compare the gaps and separate the effects attributable to explained (endowment) differences from those attributable to unexplained (coefficient) differences. The semi-log wage model reveals a percentage wage decrease for females of approximately 17.4% in rural areas and 9.9% in metropolitan areas. The Blinder-Oaxaca decompositions further indicate that the unexplained (coefficient) component of the gap is substantially larger in rural …

Labor Market Responses To Ai: Measuring Wage Effects Across U.S. Occupations, Kaitlin Pham, Karla Rodriguez

Undergraduate Economics Working Paper Series

Artificial intelligence (AI) is rapidly changing economies around the world, with some experts predicting an impact greater than the Industrial Revolution. As AI becomes more common in daily life and business, questions have grown about how it might affect jobs, wages, and inequality. The rise of automation and highly capable AI models has made people wonder which occupations will benefit and which might be at risk. This study looks at how exposure to AI technologies affects wage trajectories in the United States. Using occupational-level data from O*NET and the U.S. Bureau of Labor Statistics, we build an AI exposure index …

Simple Determinants Of Commercial Bank Failures, Matthrew Qi

Undergraduate Economics Working Paper Series

This study investigates the internal and macroeconomic determinants of commercial banking failures in the United States spanning 1959 to 2025. Using a logit model and a four-quarter lag, two models are estimated: a comprehensive model (1985–2025) and an extended panel model (1960–2025). Empirical results reveal internal CAMELS metrics are primary determinants of survival; profitability and capital adequacy defends against failures, while asset quality deterioration and management inefficiencies accelerates failure. The “too big to fail” paradigm is empirically validated. Contractionary monetary policy and labor market stress increase failure probabilities. Real GDP growth exhibits a role shift predicting commercial bank failures.

The Structural Limitations Of Mining Output Growth In Nevada, Mckinley Brown, Emma Kitchen

Undergraduate Economics Working Paper Series

This study compares short and long trends in Nevada to the production output within the mining industry. Nevada produces around 70% of the United States gold and about 15% of the world's critical minerals. From its position as one of the most resource rich mining regions globally to its emergence as a growing economic hub, mining played a central role in Nevada's economy. However, despite the industry’s importance, Nevada still faces inefficiencies in production output due to insufficient attention to key inputs such as labor, infrastructure, technology, and energy resources.

Las Vegas Casino Revenue In An Expanding Gambling Market, Kaden A. Villa-Real

Undergraduate Economics Working Paper Series

This study examines whether expanding gambling substitutes disrupt the Las Vegas gambling industry using quarterly data from 2014 through 2025. Las Vegas casino revenue is used as the benchmark to gauge the health of Las Vegas, adjusted to Quarter 1 2014 dollars and using an OLS regression model. The results imply that online sports betting is a poor substitute for Las Vegas revenue, while online gambling shows a positive and statistically significant relationship with revenue. The findings indicate that Las Vegas is resilient despite the introduction of more competition and gambling alternatives within an industry it has traditionally known to …

Gambling Behaviors: How Do Gambling Losses Affect Future Wagers?, Ashley Talavera, Hannah Lopez Ibarra, Roman Rozbitskyy

Undergraduate Economics Working Paper Series

This study looks at how previous gambling losses affect future betting behavior in online cryptocurrency gambling markets. Using roughly 50,000 real betting observations from Bustabit, the paper tests whether gamblers become more aggressive after losses or instead pull back and bet more cautiously. Using both OLS and Fixed Effects regression models, the results show that players generally reduce their wager sizes following losses rather than engage in strong loss-chasing behavior. After controlling for individual player tendencies, the Fixed Effects models show statistically significant decreases in future bet sizes after losses, suggesting that caution and loss aversion may play a larger …

Determinants Of March Madness Tournament Advancement, Jace Waldahl

Undergraduate Economics Working Paper Series

This paper examines whether tournament seed and team efficiency ratings help explain how far teams advance in the NCAA men's basketball tournament. Using Bart Torvik NCAA basketball ratings data from 2008 to 2025, I construct a team-year dataset with tournament advancement measured from 1 to 7, where higher values represent deeper runs. The main independent variables are seed, net efficiency, offensive efficiency, and defensive efficiency. Descriptive statistics, correlations, scatterplots, and OLS regressions are used to test whether better-seeded and more efficient teams advance further. The results show that seed is the strongest and most consistent predictor of advancement, but efficiency …

Spectaor 2026-05-21, Editors Of The Spectator

The Spectator

No abstract provided.

Faculty Focused, Student Supported: Managing Faculty Research In Your Institutional Repository, Ellen Amatangelo, Kelsey Bradshaw, Jillian Peterson, Allejah Young

Faculty Publications

The focus of BYU Library’s Faculty CV Project is to provide a simplified avenue for faculty members to add their scholarly work to our institutional repository, thus making it more accessible to a broader audience. Our project highlights effective strategies for collaborative communication across campus units, along with the use of practical project management tools to track project status. In addition, the Scholarly Publishing Unit provides training and support for managing the increasing demand for scholarly research by utilizing student employees, as well as faculty research assistants. This further supports our institution's goal of providing more experiential learning opportunities.

The Minutes Of The Marshall University Staff Council Meeting, May 2026, Marshall University Staff Council

Staff Council Minutes

No abstract provided.

In Silico Molecular Docking Study Of Antidiabetic Bioactive Compounds From Brotowali (Tinospora Cordifolia) Targeting Glut4 In Type Ii Diabetes Mellitus, Gita Euaggelion Tarigan, Surya Dwira

Indonesian Journal of Medical Chemistry and Bioinformatics

Type 2 diabetes mellitus (T2DM) is a global metabolic disorder characterized by insulin resistance and impaired glucose uptake. Despite the availability of pharmacological therapies, limitations such as adverse effects and high costs highlight the need for alternative therapeutic candidates. Tinospora cordifolia has been widely reported to contain bioactive compounds with antidiabetic potential; however, comparative evaluation of their interaction with glucose transporter type 4 (GLUT4) remains limited.

This study aimed to identify the most promising bioactive compounds from Tinospora cordifolia targeting GLUT4 using an in silico molecular docking approach, followed by pharmacokinetic and toxicity (ADMET) prediction. Molecular docking was performed using …

U.S. Small Food And Beverage Businesses Sustainability Strategies, Berenice Mulubah

Walden Dissertations and Doctoral Studies

No abstract provided.

Evaluating The Association Between Chronic Health Conditions And Caregiver Burden For Male Dementia Caregivers, Dareion D. Hill-Smith

Walden Dissertations and Doctoral Studies

No abstract provided.

Teaching Motivational Interviewing Techniques To Nursing Staff To Improve Glycemic Control In Patients With Diabetes, Augustine Ngouondjyou Fotsing

Walden Dissertations and Doctoral Studies

No abstract provided.

Modeling Of Penicillin Fermentation Process Based On A Multi-Stage Lhs-Eprcc Method, Quan Li, Peng Su, Haiying Wan, Chengxi Zhang, Zhijian He, Yiyang Ni

Journal of System Simulation

This paper focused on the modeling of microbial fermentation processes under varying production environments and proposed a novel approach. Considering that the dynamic characteristics of microorganism s differ across growth stages, we introduced the concept of multi-stage sensitivity analysis, in which each stage was investigated separately. The fuzzy C-means (FCM) algorithm was employed to cluster process data under nominal conditions, thereby dividing the penicillin fermentation process into distinct growth stages. Based on this division, the Latin hypercube sampling with partial rank correlation coefficient (LHS-EPRCC) method was applied to conduct sensitivity analysis for each stage, identifying an importance parameter set (IPS) …

Annotation-Free 6-Dof Grasp Detection Method Integrating Physical And Geometric Priors, Min Shi, Shisheng Guo, Suqin Wang, Zhaoxin Li, Dengming Zhu

Journal of System Simulation

To improve the stability and cross-category generalization capability of grasp pose estimation in complex stacked scenes, an annotation-free 6-DoF grasp detection method integrating physical rules and geometric structure priors was proposed. In the offline stage, a template library of feasible grasp poses was constructed based on multi-physical constraints, without relying on manual grasp annotations. In the network design, the modeling of structural symmetry of objects and spatial overlap relationships was introduced; a geometric guidance mechanism with occlusion perception and exposure modeling capabilities was designed, and robust pose alignment of target objects was achieved by combining keypoint regression. A multi-type stacked …

Detection Method For 3d Lanes Based On Graph Relationship Optimization Integrating Point And Lane Features, Yanji Jiang, Xingyi Xiao, Hao Dong, Miao Yu, Jinshan Huang, Daqian Liu, Bowen Fei

Journal of System Simulation

Under complex road conditions, the thin and elongated structure and small proportion of lanes lead to blurred visual features and insufficient positioning accuracy, which in turn threatens the road safety of autonomous driving. To address these issues, a 3D lane detection method or graph-based point and lane optimization network (GPLNet), based on graph relationship optimization integrating point and lane features, was proposed. Preliminary feature extraction was completed by the backbone network. 3D spatial positional coding with geometric constraints was obtained through a joint query embedding generation module. A graph relationship optimization network was utilized to perform graph relationship calculation and …

Multi-Level Digital Model Of Dynamic Earned Value Management For Complex Engineering Projects And Its Applications, Wei Wang, Dong Liu, Xinhao Cui, Bo Li, Yiyong Xiao, Yi Ren

Journal of System Simulation

The economic management of existing engineering projects is usually based on organizational structure, which presents problems such as complex processes and difficulty in clarifying main responsibilities when applied to complex engineering projects. In response to this limitation, a multi-level digital model of dynamic earned value management is proposed for complex engineering projects, which extends the traditional cost performance indicators to engineering resource utility indicators, thereby decomposing the earned value of costs into segmented earned values of different engineering resources. This enables managers to dynamically supervise projects based on traditional "schedule-cost" performance indicators and carry out more refined cost control …

Hierarchical Motion Planning Of Mobile Robot Based On Dynamic Corridor Inflation And Convex Optimization, Dingkun Zhang, Haizhao Liang

Journal of System Simulation

Motion planning for robots with Ackermann chassis in dynamic complex environments faces nonholonomic constraints and kinematic-dynamic coupling challenges. However, traditional methods suffer from path redundancy, random fluctuations, and local optimality. A hierarchical motion planning method based on dynamic corridor inflation and convex optimization is proposed. Topologically sparse paths are generated by fusing the Ramer-Douglas-Peucker (RDP) path compression operator with the A* algorithm to reduce redundant path points' interference with backend optimization. Dynamic corridor inflation strategies are designed considering Ackermann steering characteristics, and safe corridors satisfying kinematic constraints are constructed via convex decomposition. Corridor constraints are then transformed into linear inequalities …

Power Flow Calculation Based On Block-Encoded Adiabatic Quantum Newton-Raphson Method, Shengchao Jiang, Yunqing Pei, Hongying Zhai, Guojian Wu, Fang Gao

Journal of System Simulation

To overcome the efficiency bottleneck of the traditional Newton-Raphson (NR)method in high- dimensional power flow calculations for modern power systems and the constraints of variational quantum algorithm frameworks, this paper proposed a power flow calculation framework integrating block encoding technology and adiabatic quantum computing principles. Based on block encoding technology, adiabatic quantum theory, and the NR method, a block-encoded adiabatic quantum power flow calculation framework (BQ-NR) was constructed. The NR correction equations were mapped to a quantum system, and the quantum state encoding of the correction equations was realized by constructing an extended Hermitian matrix and a projection operator; a …

Foreword

Washington International Law Journal

No abstract provided.

Front Matter

Washington International Law Journal

No abstract provided.

The African Framework On Presidents Who Refuse To Relinquish Power: Past, Present, And Future

Washington International Law Journal

No abstract provided.

Flowing Borders: U.S. Border Externalization In Latin America And The Los Angeles Declaration On Migration And Protection, Magdalena Olvera Hernandez

Master's Theses

In recent years, Latin America has emerged as a central transit region for extracontinental migrants originating from Africa, Asia, and the Middle East who seek to reach North America through alternative routes. This thesis examines the Los Angeles Declaration on Migration and Protection, among other regional migration governance frameworks that have reshaped migratory flows, state responsibilities, and protection outcomes in the Western Hemisphere. Focusing on the Darién Gap as a strategic chokepoint, the study analyzes the effects of coordinated migration policies, border externalization, and differentiated state roles on extracontinental mobility.

Drawing on official migration statistics from Panama, the United States, …

Asian American Multiraciality And Cultural Wealth In Higher Education, Marielle Song Lyons

Master's Theses

Multiracial Asian American college students endure pervasive and commonplace monoracism, multiracial microaggressions, and deficit-based narratives in higher education, which negatively impact their sense of self, belonging, and mental health. Through narrative methodology, the present qualitative study captures the stories of three multiracial Asian American undergraduate students and how they are making sense of their racialized experiences and cultural wealth in higher education. The results of this study suggest that (a) multiracial Asian Americans experience monoracism and multiracial microaggressions, which shape their understanding of cultural legitimacy and impact their behavior, sense of self, and relationships with others; (b) monoracism and multiracial …

Paternal Investment And Labor Market Soft Skills: Evidence From The Philippines, Timothy Crane Wilkins

Master's Theses

Fathers’ involvement in their children’s lives may shape the social skills that determine labor market success, yet evidence from Southeast Asia remains limited. This study examines the relationship between paternal investment and soft skills used in the workforce. Using original survey and experimental data from more than 300 parents of young children in Metro Manila, Philippines, I analyze how their fathers’ past involvement during childhood, and current involvement as grandparents in childcare relate to dictator-game giving, interpersonal trust, and workplace relations. The results indicate that paternal investment is most statistically significant with improved workplace relations, specifically with participants’ reported ability …