Digital Commons Network^™

Robust Identification Of Black-Box Nonlinear Ssm Using Expectation-Maximization, Xiaonan Li, Tao Chao, Ping Ma, Ming Yang, Yuxuan Wang

Journal of System Simulation

To address the robust identification problem of nonlinear state space models (SSM) with outliers, missing observations, and unknown state equations, this paper proposes a modeling method based on eigenfunction expansion, Gaussian-process state-space models (GP-SSM), and Student-t distribution. The proposed approach consists of: modeling the state transition function using eigenfunctions and pre-encoding the priors of basis function coefficients via GP-SSM to enhance flexibility; modeling observations as a Student-t distribution with unknown parameters to enhance robustness against outliers; proposing the enhanced particle Gibbs with ancestor sampling (EPGAS) algorithm to adapt to state estimation in scenarios with missing observations; and deriving unknown model …

Topology Identification Of Complex Dynamical Networks Under Dynamical Saturation Inputs, Haoyu Wang, Yayong Wu, Guoping Jiang, Ying Zheng, Xuanxin Zhou

Journal of System Simulation

In view of the problem that the controller inputs in actual engineering systems are vulnerable to the constraints of dynamical saturation and delayed dynamical saturation, which makes it difficult for the topology identification of complex dynamical networks to adapt to real physical scenarios, a topology identification method based on the drive-response mechanism was proposed. A response network with the same dynamical characteristics and node scale as the original network was constructed, and the dynamical equation of synchronization error between the drive-response networks was established. A controller with dynamical saturation and delayed dynamical saturation and a topology identifier were designed, and …

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) …

Sos Effectiveness Evaluation Method Based On Fuzzy Functional Dependency Network Analysis, Hongjia Su, Cheng Zhang, Fei Liu

Journal of System Simulation

Functional dependency network analysis (FDNA) enables modeling functional dependencies among equipment in a system of systems (SoS) and then computing the whole SoS effectiveness based on the effectiveness of each equipment, thus overcoming the deficiency of traditional SoS effectiveness evaluation based on tree-like index systems. However, critical parameters such as strength/criticality of dependency in this methodology currently rely on subjective empirical assignments, where the deviations resulting from subjectivity may compromise the accuracy of effectiveness evaluation. To address this limitation, this paper proposes a fuzzy FDNA (FFDNA)-based SoS effectiveness evaluation method. This method constructs a functional dependency network (FDN) model …

Research On Completion Method For Trajectory Based On Image Representation And Collaborative Feature Perception, Ye Tao, Jinhui Tang, Chen Zhou, Chong Wang

Journal of System Simulation

To address the constraints imposed by missing trajectory data in surveillance systems on the efficacy of civil aviation safety monitoring, as well as the limitations on the development and application of advanced technologies within trajectory-based operational frameworks, a completion method for trajectory based on image representation and collaborative feature perception was proposed. A conversion strategy for trajectory image representation was designed to reformulate the trajectory completion task as a deterministic image completion problem, effectively circumventing the cumulative error problem of traditional time-series data caused by the limitation of recurrent neural network inference mechanisms.A regression model fusing a multi-kernel hybrid …

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 …

Capacity Market Trading Strategies Of Generators Based On Per-Maddpg Algorithm, Yanbin Li, Zhaolun Pan, Xinyue Ma, Minghao Song, Yujie Hu, Xiaoda Xue

Journal of System Simulation

Considering the issue of how power generators trade off their quantity and price bidding strategies to maximize profits in different capacity market environments, a capacity market bidding equilibrium model is constructed. Recognizing the limitations of traditional solution methods, which rely on the assumption of complete information and have low utilization of historical trading strategy information, a capacity market trading simulation method based on prioritized experience replay multi- agent deep deterministic policy gradient (PER-MADDPG) is proposed. The action space is constructed using quantity bidding strategy and price bidding strategy, and the state space is constructed using historical transaction strategies and winning …

In-Use Stability And Device Compatibility Define Clinically Actionable Handling Limits For A Gmp-Produced Attenuated Listeria Monocytogenes Vaccine Expressing Gucy2c, Jagmohan Singh, Taranjot Johar, Vannessa Scully, Scott A. Waldman, Babar Bashir, Adam E. Snook

Department of Pharmacology, Physiology, and Cancer Biology Faculty Papers

Background: Live-attenuated Listeria monocytogenes (Lm) vectors are a clinically validated cancer immunotherapy platform, but translation requires reproducible, clinically realistic workflows for dose preparation and infusion. For live bacterial products, in-use stability and device compatibility can drive dose variability through adsorption, settling, and device losses. Methods: We developed and GMP-manufactured an attenuated Lm vaccine expressing human GUCY2C (Lm-GUCY2C) and performed translational characterization, including construct verification and immunogenicity readouts, and defined the administration-focused in-use stability and device compatibility. Post-thaw stability was assessed in primary cryovials and during preparation and delivery from 250 mL saline infusion bags using standard clinical devices (syringes/needles, filter-free …

Mississippi's Future Leaders Find Their Voice At Ole Miss, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – Listen carefully around the University of Mississippi campus during the early summer, and you will hear the future of Mississippi.

A Quantitative Study On Broadband Access Rates In K-12 Schools And Student Academic Achievement, Tonya Michelle Todd

Electronic Theses and Dissertations

As technology evolves, so do K-12 educational platforms and policies. However, research into broadband access’s influence on student academic achievement is limited and some are outdated. Without adequate knowledge on the topic, educational and policy leaders are at risk of misallocating educational technology funds. Given the substantial monetary investment involved in the implementation of this public education policy and the limited research on the influence of broadband access rates on student academic achievement, the purpose of this study is to investigate whether the SC Educational Technology Plan’s broadband expansion influenced student academic performance.

This quantitative study sought to determine whether …

Multi-Agent Cbs Path Planning Algorithm Based On Minimum Planning Margin First, Longxiao Liang, Jianlin Mao, Niya Wang, Chengyuan Fang, Wenna Zhou

Journal of System Simulation

To address the problems of chain effect and insufficient solving efficiency in the conflict tree (CT) expansion of the traditional conflict-based search (CBS) framework, a minimum-margin-first CBS algorithm based on planning margin was proposed. The calculation of planning margin was introduced into the underlying A* search, and the robots with the minimum margin were prioritized in the high-level conflict resolution, to suppress the chain expansion of the CT while ensuring path optimality.Simulation experiments show that the proposed algorithm significantly reduces the amount of CT node expansion and the number of root node conflicts and effectively improves the solving efficiency, …

An Automated Generation Method For Combat Simulation Scenarios Based On Large Language Models, Zhiming Dong, Zhongqi Hu, Haoran Dai, Jiancheng Gao

Journal of System Simulation

To address the issue of low efficiency in generating traditional army tactical combat simulation scenarios, an automated generation method based on large language models is proposed. The large language model invokes a semantic segmentation algorithm to parse and restructure the combat scenario, forming semantic modules. Utilizing a multi-agent collaborative framework based on the model contextual protocol, the large language model drives each agent to extract simulation elements from the corresponding semantic modules, constructing a knowledge graph of scenario elements. Using this knowledge graph as a retrieval medium, the method employs a dense retrieval algorithm to achieve precise matching between simulation …

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 …

Dynamic Task Planning For Wargaming Based On Large Language Models, Yingang Liu, Ming Ma, Ronghua Zhang

Journal of System Simulation

To address the problems of great difficulty in intelligent decision-making and insufficient dynamism in task planning caused by the complex adversarial environment and strong uncertainty in wargaming tasks, this paper proposed a hierarchical Agent collaborative decision-making framework based on large and small model synergy.Through a multi-level structure, the hierarchical decoupling and dynamic coordination of battlefield tasks were achieved. A memory management module was constructed, and a query optimization mechanism driven by large language models was introduced to dynamically perceive the decision-making process and query intent, completing the semantic reconstruction and context completion of raw queries. A time-driven two-stage task …

Multi-Agent Reinforcement Learning Method For Wargame Simulation Based On Suboptimal Demonstration Guidance, Zicong Zhou, Junjie Zeng, Yue Hu, Zhengqiu Zhu, Quanjun Yin

Journal of System Simulation

To address issues such as fixed behavior patterns and insufficient adaptability in complex adversarial environments exhibited by traditional wargame agent decision-making models, this paper proposes a multi-agent reinforcement learning method based on suboptimal demonstrations (MARLSD). The proposed method integrates reward relabeling with a self-imitation learning mechanism, effectively improving the training efficiency of multi-agent reinforcement learning algorithms in environments with large state-action spaces and sparse rewards, even when only a small number of suboptimal demonstrations are available, while encouraging agents to explore better strategies. Experimental results show that, compared with baselines such as QMIX and MAGAIL, MARLSD significantly improves performance and …

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 …

Robust Two-Stage Mimo-Ofdm Channel Estimation Method Against Sensing Errors, Yi Peng, Jun Wang, Qingqing Yang, Jianming Wang, Hui Li

Journal of System Simulation

To address the challenges of performance degradation, high pilot overhead, and high computational complexity in traditi onal channel estimation methods for integrated sensing and communication (ISAC) assisted MIMO-OFDM systems when radar sensing information contains errors, this paper proposes a robust two-stage sparse channel estimation framework designed to be tolerant of sensing errors. In the first stage, a residual energy weighted simultaneous orthogonal matching pursuit (REW-SOMP) algorithm is designed. Leveraging locally adaptive dictionary expansion and a residual- weighted path selection mechanism, it accurately captures communication-associated paths even under sensing errors. The second stage introduces an adaptive penalty factor alternating direction method …

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) …

Vol 6. May '26 Cover, Publishing, And Table Of Contents, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.

Community Engagement To Rebuild Confidence In Public Health, Donna L. Williams

Journal of the Louisiana Public Health Association

No abstract provided.

Bayou Blueprint: Louisiana's Path To Ending Cervical Cancer, Cara Mccarthy

Journal of the Louisiana Public Health Association

No abstract provided.

Identifying Barriers To Pursuing Allied Health Careers- Findings From The Lsuhs Ahead Program, Adrienne Brecheen Davis, Laura E. Gray, Madeline F. Barclay, Hilary K. Bates

Journal of the Louisiana Public Health Association

Background: In Louisiana, underrepresented minorities (URMs) compared to the general population face significant disparities in representation within allied health professions.¹ Although Blacks/African Americans represent 31.4% of the state’s population, they comprise only 1.5% of physical therapists, 4.5% of occupational therapists, 2.7% of physician assistants, and 12.7% of speech-language pathologists. Similarly, while the Latinx population makes up 4.8% of Louisiana’s population, they represent only 0.5% of physical therapists and 2.7% of physician assistants. These persistent disparities point to systemic educational barriers and structural inequities that limit access to health profession programs. This study investigated the perceived barriers underrepresented students face when …

Mapping Youth Sexual And Reproductive Health Services In Orleans Parish, Louisiana: A Field-Tested Survey Methodology, Isabelle Jouve, Ryann Martinek, Zoey Ponder, Isabel Arce, Ryley White

Journal of the Louisiana Public Health Association

Background: Fragmented access to sexual and reproductive health (SRH) services is driving a sexual health crisis among the youth population in Orleans Parish, Louisiana. Rates of sexually transmitted infections, HIV, and teen pregnancy continue to rise while SRH education offerings decline. In response to these outcomes, a Sexual Health, Education, and Rights (SHER) Lab team presents a field-tested survey methodology to characterize the landscape of youth-accessible SRH service providers. Methods: In May 2025, the SHER Lab launched an SRH landscape assessment project to survey youth-serving organizations in Orleans Parish, Louisiana. The project team collected comprehensive feedback from community stakeholders to …

Geauxhealth.Org: A Technological Approach To Community Resources In New Orleans, Madelin Mlynczak

Journal of the Louisiana Public Health Association

Background: Connecting patients to appropriate community resources remains a significant challenge for healthcare providers in New Orleans. Existing resource guides have limitations in clinical workflows, highlighting the need for a tool tailored to healthcare professionals. The primary objective of this study was to evaluate the effectiveness of the GeauxHealth.org website in improving medical residents’ and fellows’ knowledge of community resources and decreasing perceived struggle in referring patients to community resources. Methods: We conducted a pre- and post-intervention survey among residents and fellows at two academic institutions in New Orleans. Participants were introduced to GeauxHealth.org, a locally developed and searchable online …

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

Journal of the Louisiana Public Health Association

No abstract provided.

The State Of Georgia's Healthcare System And The Uninsured Children In Coastal County, Staci L. Mitchell

Walden Dissertations and Doctoral Studies

No abstract provided.

Exploring The Social Structures Developed By The Internally Displaced Persons (Idps) To Govern Their Lives During Displacement, A Burkina Faso Case Study, Abdou-Salam Savadogo

Walden Dissertations and Doctoral Studies

No abstract provided.

Implementation Of Vanderbilt Acuity Tool In The Emergency Department, Ogemdi Millicent Asaa

Walden Dissertations and Doctoral Studies

No abstract provided.

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, …