Digital Commons Network^™

Robot Trajectory Planning And Adjustment Method For Abnormal Pose Of Actuator, Lang Qin, Jiacheng Xie, Xiaojun Qiao, Xuewen Wang, Zhijie Xiao

Journal of System Simulation

To address the influence of the abnormal pose of the robot actuator on the robot trajectory, an adaptive planning and adjustment method of trajectory based on virtual-real fusion was proposed. AR technology was introduced to couple with the robot kinematics model, and the hardware dependence on multiple sensors was replaced by synchronous comparison of three-dimensional virtual and real poses; AR gestures and voice interaction were combined to simplify the operation process; based on the actual pose of the actuator, the trajectory of the robot terminal axis was dynamically adjusted. The experimental results show that this method breaks through the technical …

Hyperspectral Anomaly Detection Algorithm Based On Window Reconstruction And Collaborative Representation, Shuanghao Fan, Fang He, Jianwei Zhao, Haojie Hu, Fengchao Zhu, Xiangyang Li

Journal of System Simulation

Hyperspectral anomaly detection refers to identifying ground objects that deviate from normal background distributions and have low probability and small scales from scenes involving mixed multi- class ground objects, spectral feature overlaps, and noise interference. This technology has received extensive attention in recent years. Although collaborative representation-based anomaly detection algorithms demonstrate excellent performance in hyperspectral image anomaly detection, their time costs are too high to enable widespread application.To address this issue, this paper proposes a hyperspectral image anomaly detection algorithm based on window reconstruction and collaborative representation, which consists of two stages. Window reconstruction is performed on hyperspectral background …

Detection Method For Laboratory Ppe Compliance Wearing Based On Human Key Points, Lijun Peng, Tingqi Su, Peijin Liu, Lin He, Xiewu Zhou, Minxin Zhang

Journal of System Simulation

To address the problems of high missed detection rate and inaccurate judgment of wearing compliance when multi-scale and multi-category targets of laboratory personnel's safety protective equipment are detected in a complex laboratory environment, this paper proposes a laboratory personnel's standard personal protective equipment (PPE) wearing detection method (multi-scale multi- target joint key point detection method, MSMT-JKDM) that integrates multi-scale features and human keypoints. The multi-scale adaptive down sampling (MSA-Down) module and the cascaded group attention transformer (CGA Former) are introduced to enhance the feature representation ability of PPE (especially small targets such as goggles and gloves) in laboratory detection scenarios, …

Second Annual Advances In Business Education Conference 2026 Proceedings, Kelsey Metz

Advances in Business Education (ABE) Conference Proceedings

Conference Overview: The Second Annual Advances in Business Education (ABE) Conference was held on May 21–22, 2026, at Lincoln Memorial University in Harrogate, Tennessee. Hosted by the LMU School of Business, the ABE Conference exists to promote teaching excellence, scholarly inquiry, and regional engagement through innovation and collaboration in business education.

With a focus on fostering meaningful dialogue among educators, researchers, students, and industry professionals, the conference welcomed more than 70 attendees representing 11 institutions from across the Appalachian region and beyond.

The event was structured around four key tracks:

Pedagogy and Teaching Excellence: Showcasing innovative teaching methods, instructional technologies, …

Nft Artists V. The Sec: Reassessing Securities Law In The Age Of Digital Art, Brian Elzweig, Lawrence J. Trautman, Michael Conklin

Penn State Law Review (2003 - Present)

No abstract provided.

Defining Civil Rico's "Inquiry To Business Or Property" Requirement: The Supreme Court Takes A Few Steps, Says It Punts, But Actually Fumbles, Randy D. Gordon

Penn State Law Review (2003 - Present)

No abstract provided.

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 …

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 …

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 …

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 …

Using The Socio-Ecological Model To Explore Parents' Resilience And Perceptions Of Adverse Childhood Experiences: A Qualitative Study In The Southeastern United States, Maribel G Dominguez, Christine Markham, Andrew E Springer, Louis D Brown

Faculty, Staff and Student Publications

Background: The negative impact of adverse childhood experiences (ACEs) on child development is documented. The parent-child relationship protects against ACEs and improves healthy child development, playing a crucial role in preventing and mitigating ACEs by strengthening parental resilience. However, there is a gap in the literature on our understanding of parental resilience's impact on the parent-child relationship within the social-ecological model (SEM) (i.e., intra- and interpersonal, community, and societal levels). Objective: This study explores parents' perspectives on parental resilience as a protective factor for preventing and mitigating ACEs at every level of the SEM. Method: This study uses a thematic …

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

Staff Council Minutes

No abstract provided.

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.

The Current Status Of Utah Women & Girls: A Research Synopsis: 2026, Susan R. Madsen, Corinne Clarkson

Marketing and Strategy Faculty Publications

In 2025, U.S. News and World Report rated each state using 71 metrics across eight categories. Utah was rated the #1 “Best State Overall” for the third year in a row, ranking first in fiscal responsibility and third in both the economy and infrastructure categories and fourth in education.¹ Utah was also ranked number one for “Economic Outlook” by Rich States, Poor States in 2025, a forward-looking forecast that is based on 15 state policy variables.² WalletHub ranked Utah as the second “Most Charitable State” and the number one state for volunteering and service.³ In addition, ConsumerAffairs …

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 …

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 …

Meeting Their Needs: Experiences Of Uc Berkeley International Graduate Students Navigating Financial Strain, Ryann M. Hirt

Master's Theses

Of prior research on student experiences with financial strain, little has specifically focused on international student experiences in higher education while studying in the U.S., in tandem with financial strain. This qualitative study, through utilization of narrative methodology, explores the ways in which international students–in particular, graduate students–experience and navigate financial strain during their studies at a large, R1: Doctoral university: the University of California, Berkeley. The research was guided by three questions: (a) What are UC Berkeley international students’ stories of navigating financial strain? (b) What are the experiences of UC Berkeley international students with external and internal (campus) …

Indocyanine Green Focused Near-Infrared Fluorescence Lymphography Localization In Treatment Of Chyle Leak After Mastectomy With Targeted Left Axillary Sentinel Node Biopsy For Breast Cancer., Bradley C Kruithoff, Dawn Cox, Mark Cripe

Women’s Health Articles

We present a woman in her 60s who underwent bilateral mastectomy with left axillary targeted lymph node biopsy in the setting of high grade invasive ductal carcinoma of the left breast with metastasis to a left axillary lymph node. Her postoperative course was complicated by high output milky drainage from her left axillary surgical drain, consistent with a chyle leak, after confirmatory testing demonstrated drain fluid with high triglyceride content. The patient failed non-operative management consisting of low-fat diet and compressive measures. Ultimately, the patient returned to the operating room where indocyanine green near-infrared fluorescence lymphography was used to localized …

Hiv/Aids-Related Awareness And Misconceptions Among Grade 10 Students In Muttrah Wilayat, Muscat, Oman: A Descriptive, Cross-Sectional Study, Rahma Abdullah Al Riyami, Balqees Ahmed Al -Maawali, Nabila Hamood Al Wahaibi, Mariam Rashid Al Rashdi, Fatma Ahmed Al Hinai

Sultan Qaboos University Medical Journal

Objectives: Despite Oman having a low HIV prevalence, stigma and lack of knowledge among young people may hinder prevention efforts. This study aimed to assess HIV/AIDS-related knowledge and misconceptions among Grade 10 students in Muttrah wilayat in Oman. Methods: This cross-sectional study was conducted in February 2025 and included Grade 10 students from 4 governmental schools in Muttrah selected via proportional stratified sampling. The sample size was calculated depending on the number of students in Grade 10. Data collection was performed during face-to-face interviews using a validated Arabic-language questionnaire. Results: A total of 271 Grade 10 students were included in …

New Developments In Space-Filling Designs, Xiankui Yang

USF Tampa Graduate Theses and Dissertations

This dissertation presents three methodological advancements to improve the construction of space-filling designs for meeting different needs of computer experiments. Traditional space-filling designs focus on achieving uniform coverage in the input space, ensuring that design points are spread evenly throughout. However, in some scientific and engineering applications, varied density of design points may be desired for more efficient data collection when prior knowledge implies different emphases. In other cases, ensuring good coverage and/or spread of the response values allows better performance of fitted models in the next stage of applications. Many processes involve variation in response values. Therefore, incorporating variation …

Vol 6. May '26 Full Issue, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.