Digital Commons Network^™

Digital Twin Framework For The Generation And Optimization Of Security Policies For Tsn Industrial Control Systems, Huimai Zhang, Xiaoya Hu, Chunjie Zhou

Journal of System Simulation

Abstract: The characteristic of multi-service flow integration in TSN industrial control systems makes it very difficult to establish an accurate mathematical model. In order to ensure the coordination between the security policy and the real-time operation of the system, a four-layer double-closed-loop digital twin framework of "physical layer-data layer-twin layer-service layer" serving the generation and optimization of security policies is proposed. The optimal security policy generation is achieved through the internal closed loop composed of iterative optimization between the initial security policy generation at the service layer and the deployment verification at the twin layer. The deterministic communication process between …

A Transfer Learning-Based Hybrid Model For Pm2.5 Concentration Prediction, Xinbiao Lu, Chunlin Ye, Yisen Chen, Wen Wu, Yudan Chen

Journal of System Simulation

Abstract: In order to solve the problems of increased computational cost due to irrelevant features and decreased prediction accuracy due to the difference in probability distribution caused by the change of data distribution over time in PM2.5 concentration prediction, this paper constructs a hybrid deep learning model TraTCN-LSTM-BiGRU based on migration learning. The meteorological factors related to PM2.5 concentration are selected as the model input using the mean-value heat map algorithm features; the source domain data and target domain data are divided by KL scatter and an adaptive layer is introduced into the model to achieve inter-domain distribution adaptation; the …

Trajectory Planning Of Quadruped Robot Over Obstacle With Single Leg Based On Deep Reinforcement Learning, Min Li, Sen Zhang, Xiangguang Zeng, Gang Wang, Tongwei Zhang, Dijie Xie, Wenzhe Ren, Tao Zhang

Journal of System Simulation

Abstract: Aiming at the problems of joint vibration and high energy consumption of quadruped robot in the process of walking over obstacles, a foot trajectory planning method of quadruped robot based on deep reinforcement learning SAC algorithm is proposed. Based on robot kinematics and Monte Carlo method, the motion space of the single-legged foot of quadruped robot is analyzed. A compound seventhdegree polynomial trajectory of the quadruped robot is planned. The SAC algorithm is used to train and obtain the low energy consumption obstacle crossing strategy of four-legged robot under different obstacle environment. The simulation results show that the compound …

A Method For Road Extraction Using Masked Image Modeling And Contrastive Learning, Jiangjiang Wu, Zhenghong Li, Zhichao Sha, Hao Chen, Shuang Peng, Chun Du, Jun Li

Journal of System Simulation

Abstract: Aiming at the occlusion problem of road extraction from remote sensing images, a road extraction method combining MIM and CL is proposed, the model training process includes a masked pretraining stage and a contrast training stage. The masked pre-training stage mainly carries out mask image reconstruction, and trains the model to recover the whole image from some areas that are randomly occluded. The comparison training stage is mainly for the prediction error and low confidence regions to learn the comparison, to narrow the distance between the features of the same category and increase the distance between the features of …

An Event Ontology And Dataset Construction Method For Strategic Operations Analysis, Quanlin Chen, Jun Jia

Journal of System Simulation

Abstract: Aiming at the lack of professional datasets for information extraction technology research in the field of strategic operations research analysis, this paper proposes an event ontology and dataset construction method for strategic operations research analysis. The method proposes an event ontology model for strategic operations research analysis according to the needs of situation judgment in strategic operations research analysis, and uses the method of "a small amount of manual annotation + fine-tuned large language model annotation" to construct the event dataset EfSOA for strategic operations research analysis. The dataset construction method proposed in this paper and the constructed dataset …

Research On Economic Dispatching Strategy Of Chp Units Based On Srl, Xin Wang, Chenggang Cui, Xiangxiang Wang, Ping Zhu

Journal of System Simulation

Abstract: In addressing the challenge of the DRL algorithm in the optimization of combined heat and power (CHP) units, lacking safety and stability guarantees, a scheduling optimization method based on SRL is proposed. Utilizing Dymola platform, a district heating system model is constructed with the CHP unit as the heat source. A MDP model for the economic dispatching of CHP units is designed, incorporating control barrier functions (CBF) to guide safe exploration in DRL. Simulation results show that the CBF-DRL method, in complex and nonlinear district heating systems, not only accelerates the convergence of DRL algorithms but also efficiently utilizes …

Mobile Robot Path Planning Based On Search-Step Optimized A* Algorithm, Die Yu, Baizhong Bao, Yan Si, Jian Duan, Xiaobin Zhan, Tielin Shi

Journal of System Simulation

Abstract: A search-step optimized A* algorithm is proposed to address the issues with the traditional A* algorithm in robot path planning tasks, such as the high time consumption in large-scale high-resolution maps and the poor paths qualitys. Based on the cubic Hermite curve, a set of search steps (the path edges connecting the current node to its successors) is constructed, which can match the size of the robot and satisfy the dynamic constraints of the robot. More accurate cost functions are established based on the length and maximum absolute curvature value of the curve. Experimental results show that compared with …

Signal Timing Optimization Via Reinforcement Learning With Traffic Flow Prediction, Ming Xu, Jinye Li, Dongyu Zuo, Jing Zhang

Journal of System Simulation

Abstract: In response to the existing reinforcement learning-based traffic signal control methods that do not consider the changing trends in traffic flow, leading to congestion and inability to adapt to complex and variable road conditions, we propose a traffic signal timing optimization reinforcement learning method based on flow prediction. A phase timing amplitude control model is introduced. This model analyzes the spatiotemporal characteristics of historical traffic data to predict the flow for the next time slot and calculates a reasonable range for phase timing based on the prediction results. The H-PPO algorithm is employed to control the signal phase while …

An Intelligent Tracking Control Method For Unmanned Vehicles With Time-Varying Disturbances, Jie Huang, Jie Huang

Journal of System Simulation

Abstract: An intelligent policy iteration tracking control method is proposed for the tracking control problem with bounded time-varying disturbances. An adaptive disturbance compensator is designed to counteract the bounded disturbance and guarantee the validity of the Hamilton-Jacobi-Bellman (HJB) equation. An identifier network is proposed to estimate the unknown vehicle dynamics, and a new HJB equation is derived using the reconstructed identifier tracking error. An online optimal tracking control strategy for unmanned vehicles is obtained in the state of identifier estimation with the assistance of actor-critic network. Based on Lyapunov theory, it is demonstrated that the identifier tracking error, identifier approximation …

Capability Dependency Analysis Based On Kill Chain And Fdna, Yushuai Wang, Guangya Si

Journal of System Simulation

Abstract: To better support the operation SoS analysis, deeply analyze the impact of dependency relationship during mission accomplishment, and accurately grasp the deep logic of SoS capability generation, the capability dependency analysis method based on the kill chain and function dependency network analysis(FDNA) is proposed. Combined with the analysis of the characteristics of the capability dependency relationship, the kill chain closure and the kill web formation process are abstracted from the perspective of operational interaction, a capability dependency network modeling method for the SoS is proposed, and a specific process covering the identification of capability dependency, calculation of operability, solving …

Development Of A Prototype Awsm-Pet System For Augmented Whole-Body Pet Imaging, Yunlai Chen

McKelvey School of Engineering Graduate Student Theses & Dissertations

Positron Emission Tomography (PET) is a critical imaging modality for medical diagnostics, yet its accuracy is often limited by spatial resolution and sensitivity constraints. This dissertation presents the development of Augmented Whole-body Scan via Magnifying PET (AWSM-PET), a novel technique integrating high-resolution auxiliary detectors with a clinical PET scanner to enhance sensitivity and resolution while remaining fully compatible with standard clinical protocols. The study encompasses hardware development, image reconstruction methods, and performance evaluation through imaging studies, including human trials. High-resolution outsert panel detectors were designed, mounted on a mobile cart, and integrated with a Biograph Vision PET/CT scanner. Firmware and …

A Dissertation On Belonging In Occupational Therapy Education With Students From Historically Minoritized Identities, Quinn P. Tyminski

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation provides a comprehensive exploration of the phenomenon of belonging specifically tailored to students with historically minoritized identities (HMIs) within the Washington University Program in Occupational Therapy (WUOT). Employing qualitative methodologies including scoping reviews, theoretical conceptualizations, focus groups, individual interviews, surveys, and participant video diaries, the study delves into the multifaceted nature of belonging within the context of occupational therapy (OT) education. The dissertation is organized into four key articles. The first two articles lay the theoretical foundation by examining the historical context of education as forced assimilation for minority groups and the nuanced use of professional behaviors to …

Seg-Swin: A Dual-Attention Transformer Model For Advanced Amd Classification And Lesion Detection Using Color Fundus Imaging, Niveen Nasr El-Den, Mohamed Elsharkawy, Ibrahim Saleh, Ali H. Mahmoud, Mohammed Ghazal, Ashraf Khalil, Ashraf Sewelam, Hani Mahdi, Ayman El-Baz

All Works

Age-related macular degeneration (AMD) is a prevalent retinal disorder in the elderly, often leading to significant vision impairment. The diagnosis of AMD is confirmed through various medical imaging modalities, with color fundus photography (CFP) being a primary tool. The detection and staging of AMD-severity depend on several factors, including the number and size of drusen, the presence of pigmentary changes, geographic atrophy, and neovascularization, all of which are identifiable through CFP. In this study, we introduce an innovative dual-vision transformer-based network designed to automatically detect AMD and classify its severity into either dry AMD or wet AMD using CFP. Early …

Durability And Steel Corrosion Resistance Of Fly Ash Concrete Exposed To Groundwater, Mohamed Ahmed Bayomy, Khaled M. Osman, Hala Emad Elden Fouad

Mansoura Engineering Journal

This article proposes replacing Ordinary Portland Cement (OPC) with a fly ash (FA)-based geopolymer (GP) material, activated by a chemical activator, as the binding material. A 90-day study was conducted to evaluate the performance of fly ash geopolymer concrete (GPC) in a corrosive environment (groundwater). Scanning electron microscopy (SEM), compression testing, and energy-dispersive X-ray spectroscopy (EDX) were used to assess the toughness of the samples. Additionally, the linear polarization resistance (LPR) method was employed to measure the corrosion of steel embedded in the concrete structures. The comparison shows that increasing the fly ash (FA) content in geopolymer concrete (GPC) enhances …

Voting Rights Expansion To Achieve Voting Equity, Emily Tuller

Honors Theses

Socioeconomic disparities often correlate with lower voter participation, potentially leading to underrepresentation of disadvantaged communities in policy decisions. Michigan's recent voting rights expansion aims to increase accessibility and participation. This study examined the relationship between county-level poverty and voter turnout and assesses the impact of expanded voting rights on turnout in Michigan's poorest counties. We conducted a retrospective analysis comparing voter turnout data from the 2020 and 2024 elections, obtained from the Michigan Secretary of State website. Counties’ median household income data were obtained from County Health Rankings to identify high- and low-income counties. We conducted a correlation analysis to …

Deaf Community, Cochlear Implants, And Language Access, Amelia Segroves

Honors Theses

This thesis looks at how getting a cochlear implant can affect a Deaf or Hard-of-Hearing person’s identity, language development, and sense of belonging. It compares people who see deafness as part of a rich culture (big “D” Deaf) with those who see it more as a medical condition (little “d” deaf). By reviewing studies and articles, the research explores how early exposure to language, school environments, and family choices influence how people communicate and see themselves.

This thesis looks at how getting a cochlear implant can affect a Deaf or Hard-of-Hearing person’s identity, language development, and sense of belonging. It …

The Use Of Stress Testing In Evaluating Systemic Risk: Lessons From The Global Financial Crisis, Katherine Laws

Honors Theses

This paper examines the role of stress testing as a crucial tool for assessing systemic risk in the financial system, particularly in the aftermath of the global financial crisis. The global financial crisis, which unfolded between 2007 and 2009, exposed significant vulnerabilities within financial institutions and highlighted the inadequacies of existing risk management frameworks. In response, regulators and financial institutions increasingly turned to stress testing to evaluate the resilience of financial systems against economic shocks.

The paper will begin by defining systemic risk and the importance of effective risk assessment strategies. The paper will outline how stress testing can simulate …

The Difference In Financial Literacy Between Students Of The Business College And The Rest Of The Student Body At Wmu, Ivane Mkheidze

Honors Theses

This thesis investigates the persistent gap in financial literacy among high school and college students, despite increased emphasis on financial education over recent decades. Drawing inspiration from Lewis Mandell’s studies, including “Financial Literacy: If It’s So Important, Why Isn’t It Improving?”, the research evaluates the effectiveness of financial literacy courses and highlights their failure to produce long-term gains in knowledge or behavioral change. Through a synthesis of academic literature and critique of methodologies, the thesis explores the inefficacy of current teaching models, including overreliance on engagement tools like the Stock Market Game, and the influence of socio-economic factors, motivation, and …

With ‘Great Promise’ For Treating Huntington’S Disease, Four Drug Programs Press Ahead (Part I), Kenneth P. Serbin Phd

At Risk for Huntington's Disease

No abstract provided.

April 17, 2025, James Madison University

The Breeze, 2020-

The Breeze is the student newspaper of James Madison University in Harrisonburg, Virginia.

Genomic Insights And Phenotypic Characterisation Of Three Multidrug Resistant Cupriavidus Strains From The Cystic Fibrosis Lung, Sean D Kelly, James Butler, Heather Green, Andrew M Jones, Dervla T D Kenna, Sumita Pai, Katie J Muddiman, Trudie A Mccomb, Briana M Barrand, Vicky Bennett, Gyorgy Fejer, Mathew Upton

School of Biomedical Sciences

AimsWe aimed to investigate phenotypic and genomic traits of three Cupriavidus spp. isolates recovered from people with cystic fibrosis (PWCF). These bacteria are recognised as emerging pathogens in PWCF.Methods and ResultsUsing short and long sequencing reads, we assembled three hybrid complete genomes for the genus Cupriavidus, adding to the 45 published currently, describing multipartite genomes and plasmids. The isolates likely represent three different species, and they carry a cumulative total of 30 ARGs with high homology to well-characterised resistance determinants from other bacteria. Multidrug resistance to antibiotics used in CF management was observed in all three isolates. However, two treatments …

Same Difference: A Qualitative Exploration Of Stressors Experienced By Dental Team Members Across The Uk, Uk Dental Team Mental Health Research And Implementation Group, Robert Witton, Jennifer Knights, Fiona Ellwood, Ian Mills, Lois Minnis

Peninsula Dental School

Introduction Poor mental health and wellbeing in dental team members is increasingly recognised. The practise of dentistry is linked to high levels of self-reported stress, burnout and psychological distress. Different dental systems operate across the four United Kingdom (UK) countries and there is currently a lack of exploration of the impacts these different systems have on the stressors and challenges dental teams experience.Aim The aim of this paper is to explore and provide a UK country comparison of dental team members' experiences and stressors reported through the MINDSET U.K. survey 2023.Method Qualitative data were collected in an online questionnaire which …

A Deep Learning Strategy To Identify Cell Types Across Species From High-Density Extracellular Recordings, Maxime Beau, David J Herzfeld, Francisco Naveros, Marie E Hemelt, Federico D'Agostino, Marlies Oostland, Alvaro Sánchez-López, Young Yoon Chung, Michael Maibach, Stephen Kyranakis, Hannah N Stabb, M Gabriela Martínez Lopera, Agoston Lajko, Marie Zedler, Shogo Ohmae, Nathan J Hall, Beverley A Clark, Dana Cohen, Stephen G Lisberger, Dimitar Kostadinov, Court Hull, Michael Häusser, Javier F Medina

Faculty, Staff and Students Publications

High-density probes allow electrophysiological recordings from many neurons simultaneously across entire brain circuits but fail to reveal cell type. Here, we develop a strategy to identify cell types from extracellular recordings in awake animals and reveal the computational roles of neurons with distinct functional, molecular, and anatomical properties. We combine optogenetics and pharmacology using the cerebellum as a testbed to generate a curated ground-truth library of electrophysiological properties for Purkinje cells, molecular layer interneurons, Golgi cells, and mossy fibers. We train a semi-supervised deep learning classifier that predicts cell types with greater than 95% accuracy based on the waveform, discharge …

Intravascular Imaging-Guided Versus Angiography-Guided Percutaneous Coronary Intervention In Patients With Non-St-Segment Elevation Myocardial Infarction In The United States: Results From Big Data Analysis, Chayakrit Krittanawong, Song Peng Ang, Neil Sagar Maitra, Zhen Wang, Mahboob Alam, Hani Jneid, Samin Sharma

Faculty, Staff and Students Publications

Non-ST-segment elevation myocardial infarction (NSTEMI) can be managed by ischemia guide strategies or early invasive strategies. Here, we present the findings of an updated contemporary analysis regarding the use of intracoronary imaging (ICI)-guided PCI versus angiography-guided PCI and in-hospital mortality in patients with NSTEMI in the United States using the NIS database from 2016 to 2021. ICI use increased by nearly threefold between 2016 and 2021, without a significant difference in in-hospital mortality, though interestingly, mortality rates compared with angiography guidance were similar and relatively low. In this study, the use of ICI was associated with lower adjusted odds of …

The Role Of Positive Psychology Within Professional Athletes’ Performance, Jasmine C. Olsen

ScholarsArchive Data

This literature review delves into the influence of these practice such as mental resilience, coach-to-athlete relationships, and satisfaction in performance within athletes. It’s aim is to voice any needed changes within such research for future studies.

The Geographic Identification Of Elevated Suicide Risk Model: Evaluating A Method For Examining Suicide-Related Behaviors At The Neighborhood Level In Harris County, Texas, Ryan M Hill, Sam C Cacace, Austin Starkey, Tyler Hendley, Jackson Bolner, Angela Cummings, Angie Hayes, Robert J Cramer

Faculty, Staff and Students Publications

Background: The 2024 National Strategy for Suicide Prevention has called for the development of community-based suicide prevention resources, and improved existing prevention efforts. In line with such efforts, Hill and colleagues developed the Geospatial Identification of Elevated Suicide Risk model that estimates the relative prevalence of adolescent suicide risk within specific geographical areas. The current study seeks to further evaluate and refine the model for use as a tool to evaluate risk and protective factors at the neighborhood level.

Method: Drawing from multiple sources, data was collected detailing adolescent suicidal ideation, suicide attempts, suicide fatalities, and census tract characteristics. Utilizing …

Staying Safe When Taking Prescription Opioids, Aaron Hunt, Gabriela Murza, Amy May, Jenna Hawks, Alyssa Ferrin

All Current Publications

Prescription opioids, such as oxycodone, morphine, codeine, and hydrocodone, are often used for short-term pain management, and it is important to know how to keep yourself safe when taking opioids prescribed by a doctor. This fact sheet reviews what opioids are, how they work in the body, and how people become dependent on or overdose on opioids. It also offers how to limit your risk of dependence and suggests alternative pain management options.

A Nuclear Rna Degradation Code Is Recognized By Paxt For Eukaryotic Transcriptome Surveillance, Lindsey V Soles, Liang Liu, Xudong Zou, Yoseop Yoon, Shuangyu Li, Lusong Tian, Marielle Valdez, Angela M Yu, Hong Yin, Wei Li, Fangyuan Ding, Georg Seelig, Lei Li, Yongsheng Shi

Faculty, Staff and Students Publications

The RNA exosome plays critical roles in eukaryotic RNA degradation, but how it specifically recognizes its targets remains unclear. The poly(A) tail exosome targeting (PAXT) connection is a nuclear adaptor that recruits the exosome to polyadenylated RNAs, especially transcripts polyadenylated at intronic poly(A) sites. Here, we show that PAXT-mediated RNA degradation is induced by the combination of a 5' splice site (ss) and a poly(A) junction (PAJ) but not by either sequence alone. These sequences are bound by U1 small nuclear ribonucleoprotein particle (snRNP) and cleavage/polyadenylation factors, which, in turn, cooperatively recruit PAXT. As the 5' ss-PAJ combination is typically …

Lipid Dysregulation In Sebaceous Gland Disorders And The Impact Of Sphingolipid Metabolism On Acne Pathogenesis, Kaitlyn Miner, Ryan Murphy, Samantha Steiss, Mckenzie Burian, Hannah Welp, Alexandra Loperfito, Ashley O'Malley, Radhika Misra, Kelly Frasier

Student Publications

Lipid dysregulation within sebaceous glands is a critical factor underlying the pathogenesis of sebaceous gland disorders, particularly acne vulgaris. Sebaceous glands synthesize and secrete a complex mixture of lipids, including triglycerides, wax esters, free fatty acids, and sphingolipids, which contribute to skin barrier function and microbial homeostasis. Dysregulated lipid production, characterized by increased sebum secretion and altered lipid composition, has been implicated in promoting Cutibacterium acnes proliferation, hyperkeratinization, and inflammation, key processes in acne pathogenesis. Recent research highlights the pivotal role of sphingolipid metabolism, particularly ceramides, in modulating sebaceous gland activity and skin inflammation. Ceramide deficiencies in acne-prone skin contribute …

Age-Related Meningeal Extracellular Matrix Remodeling Compromises Cns Lymphatic Function, Kate Hitpass Romero, Taylor J Stevenson, Leon C D Smyth, Ben Watkin, Samuel J C Mccullough, Luca Vinnell, Amy M Smith, Patrick Schweder, Jason A Correia, Jonathan Kipnis, Mike Dragunow, Justin Rustenhoven

2020-Current year OA Pubs

Efficient clearance of central nervous system (CNS) waste proteins and appropriate immune surveillance is essential for brain health. These processes are facilitated by lymphatic networks present in the meninges that drain cerebrospinal fluid (CSF). Age-related impairments to meningeal lymphatic drainage contribute to CNS waste accumulation and immune dysfunction, yet the underlying mechanisms remain poorly understood. Here, we identify extracellular matrix (ECM) remodeling in the aged dura as a key driver of CSF clearance deficits, demonstrating that peri-lymphatic collagen accumulation disrupts lymphatic function. Exploring immune-derived factors contributing to this ECM remodeling, we identify transforming growth factor beta 1 (TGFβ1) as a …