Digital Commons Network^™

Reliability Vs. Validity Visualizer, Manish Rami

Software

A visualization tool to demonstrate the concepts of reliability and validity.

Each target represents repeated measurements of the same person or construct. The crosshair (✛) marks the true score. Reliability = how tightly shots cluster together. Validity = whether shots center on the true score. Click any panel for a clinical SLP example. Also see notes below the plots.

Borderplex Business Barometer, Volume 10, Number 6, Thomas M. Fullerton Jr., Steven L. Fullerton

Border Region Modeling Project

No abstract provided.

Resilience Modeling Method For Combat System-Of-Systems Based On Hypernetwork And Game Theory, Yuxian Duan, Hanqiang Deng, Jiarui Zhang, Jian Huang, Shijia Zhang

Journal of System Simulation

Abstract: In view of the difficulties in dynamic reconfiguration and resilience evaluation faced by modern combat system-of-systems in a highly adversarial environment, and the deficiencies of existing studies in depicting high-order interaction relationships and cluster evolution mechanisms, this paper proposed a resilience modeling method for combat system-of-systems integrating hypernetwork and game theory, aiming to analyze the resilience mechanism of the system-of-systems in all dimensions from micro, mesoscopic, to macro levels. At the micro level, a high-order motif structure was introduced to represent the complex interaction modes among combat units, which overcame the information loss of traditional binary relationships in depicting …

Simulation Study Of Elevator Group Control Scheduling Based On Real-Time Occupancy Perception, Yiyong Han, Shiyu Wang, Yang Ye, Zhen Zhang, Fengque Pei, Minghai Yuan

Journal of System Simulation

Abstract: To address the conflict between car space allocation and peak passenger flow response efficiency in elevator group control scheduling, a multi-objective scheduling method based on proximal policy optimization (PPO) with real-time occupancy perception was proposed. A simulation environment considering car capacity constraints was constructed, and a reward-penalty mechanism with average passenger waiting time, system energy consumption, and car congestion as optimization objectives was designed. Based on this, state and action spaces were defined to form a PPO-based scheduling framework; a simulation platform integrating traffic flow visualization, policy scheduling, and performance evaluation was developed. Simulation results show that this method …

Adaptive Spatiotemporal Graph Neural Network-Based Net Load Forecasting For Residential Areas, Yongqi Yang, Cong Wang, Hongli Zhang, Ping Ma, Yue Meng, Tianhao Zhou

Journal of System Simulation

Abstract: To address the issue that traditional residential overall power load forecasting methods fail to fully consider the differences in users' electricity consumption habits, making it difficult to improve prediction accuracy, a residential net load forecasting method combining representation learning clustering and an AGCN-Transformer was proposed. The representation learning method was utilized to fully extract the latent features of users' net load data, and users were divided into different groups based on the similarity of electricity consumption behaviors; the net load data of the same group were aggregated, and a graph structure suitable for this task was constructed by comprehensively …

Analysis Of Emerging Pfas Contaminants In Water: Review And Future Perspectives, Baljit Singh, Zina Fredj, Rangasamy Savitha, Abhijnan Bhat, Gayathree Thenuwara, Isha Dahiya, Suneha Goswami, Simrjit Singh, Xolile Fuku

Research Outputs: 2025-Present

Per- and polyfluoroalkyl substances (PFAS) are widely used in numerous industrial and consumer products. These compounds exhibit remarkable environmental persistence which allows them to accumulate in ecosystems and pose serious risks to water quality, the environment and human health, thereby underscoring the urgent need for effective monitoring and control. To mitigate the long-term impacts of PFAS contamination, robust and reliable advanced analytical methods and sensor technologies are essential. This review critically examines current analytical methods, including coupled chromatographic techniques, emerging sensor-based (optical and electrochemical sensors) methods and separation-based electrophoresis for PFAS detection. Recent progress in device miniaturisation coupled with integration …

Evolution And Prospects Of Polarization Image Simulation Technology, Gengpeng Li, Wei Cai, Zhiyong Yang, Zhili Zhang, Xiaowei Wang

Journal of System Simulation

Abstract: Polarization image simulation technology is a key means to break through the bottleneck of polarization data acquisition and promote the development of polarization vision. This study systematically reviewed three evolutionary paradigms of this technology: Physical mechanism simulation, based on the polarization bidirectional reflectance distribution function and polarization ray tracing, strictly solves polarization light transmission, which has high interpretability and credibility, but it is computationally complex and lacks visual realism. Data-driven simulation, using models like neural radiance fields to learn polarization appearance from data, has high generation efficiency and visual fidelity but weaker physical consistency and interpretability. Physics-data fusion simulation …

Mbse Design And Approach-Phase Operational Simulation Of Bdsbas Airborne Receiver, Ruihua Liu, Tongwei Wang, Zan Ma

Journal of System Simulation

Abstract: In view of the problem that traditional document-based design methods are difficult to effectively capture the dynamic characteristics and internal interactions in navigation accuracy and integrity assurance required by BeiDou satellite-based augmentation system (BDSBAS) airborne receivers during the approach phase, which easily leads to designs deviating from actual requirements and affects system performance, a model-based systems engineering(MBSE) method was introduced. A multi-dimensional system architecture model encompassing system requirement analysis, behavior description, structure design, and parameter constraints was established. Taking BDSBAS as the object, a co-simulation method of system modeling language and MATLAB for required navigation performance (RNP) was proposed, …

Simulation Study On The Vulnerability Of Belt And Road Composite Transportation Network Based On Cascading Failure, Mingjun Qian, Chao Yin, Zhiwen Huang, Quanneng Wang

Journal of System Simulation

Abstract: To address the issues of unclear cascading failure propagation mechanisms and difficult-to-quantify vulnerability evolution laws caused by the structural complexity and node heterogeneity of the "Belt and Road" multimodal transport network, a vulnerability assessment method for composite transportation networks integrating physical analogy and improved cascading failure model was proposed. Sub-networks were constructed based on main transportation modes of the Belt and Road, and nodes in the same city were coupled to build a composite transportation network model. An information entropy-Joule's law model was constructed to identify key nodes of the composite network and its subnetworks. A load-capacity cascading failure …

Distributed Cooperative Control Of Swarm Unmanned Aerial Vehicles Based On Multi-Route Clustering, Yuyang Xiong, Chuntao Li, Wenhao Qiu

Journal of System Simulation

Abstract: To address the collaborative control and formation maintenance problems of large-scale swarm unmanned aerial vehicles, a distributed cooperative control method for unmanned aerial vehicles based on multi-route clustering was proposed. Leveraging the characteristics of multiple routes, the overall cooperative control problem of the swarm was decoupled into the cooperative control within the same route and the consensus control between multiple routes. Within the same route, a forward-neighbor information interaction mechanism was designed to determine the neighbor relationships, and a velocity-guided cooperative algorithm was utilized to achieve the desired velocity matching and spacing maintenance of unmanned aerial vehicles; between multiple …

Multi-Scale Modeling Method For Intelligent Unmanned Aerial Vehicle Swarm Combat, Yelei Zhu, Shoulin Shen, Jiang Zhu, Chuanhua Wen

Journal of System Simulation

Abstract: Intelligent unmanned aerial vehicle swarm combat exhibits multi-scale characteristics of microlevel tactical autonomy, meso-level resource constraints, and macro-level network collaboration. In view of the problem that a single-scale modeling method is difficult to simultaneously characterize individual decision-making details, resource flow process, and system collaboration mechanism, a multi-scale modeling method integrating multi-agent modeling, system dynamics, and complex network theory was proposed. By designing six formal coupling operators to achieve cross-layer information mapping, a time progression mechanism based on a master-slave clock and hybrid synchronization was established, and a proof of error boundedness was provided. A prototype system was implemented on …

Modeling And Simulation Of Efficient State Information Diffusion In Wireless Ad Hoc Networks, Mengyao Jia, Shaozhu Gu, Junhan Wang, Denghao Wang, Du Xu, Xiaoning Zhang

Journal of System Simulation

Abstract: To solve the problems of significant communication overhead and limited real-time response capability in the traditional flooding-based state diffusion mechanism, an efficient diffusion algorithm based on regional partitioning and information compression was proposed. A multi-dimensional feature clustering method integrating geographic distance and link quality was used to achieve high-cohesion network partitioning through weighted Euclidean distance and the K-means algorithm; a dynamic selection mechanism for representative nodes was designed to conduct comprehensive scoring by combining the link quality and geographic centrality of nodes, realizing the efficient compression and aggregated transmission of regional information. Simulation results indicate that the algorithm significantly …

Research On Safety Monitoring System For Digital Twin Fully Mechanized Mining Face In Thin Coal Seams, Ya Liu, Zhaoyun Zhang, Cheng An, Canguang Zheng

Journal of System Simulation

Abstract: To solve the problems of opaque production processes, difficult expression of production information, and high difficulty in real-time model driving and safety monitoring in fully mechanized mining faces of thin coal seams, studying the use of digital twin technology and risk early warning models to solve beyond-visual-range visual production operations and safety monitoring control of the working face has important theoretical and practical value. This paper studied the construction methods of the digital twin system for fully mechanized mining faces in thin coal seams and discussed the construction of high-precision three-dimensional models, the real-time collection and processing conversion of …

Trajectory-Aware Dynamic Offloading For High-Mobility Vehicular Edge Systems, Haoran Xu, Zhiqin Huang, Youwu Hu, Zheyi Chen

Journal of System Simulation

Abstract: To address the problems of service interruptions, task failures, and resource waste caused by high mobility of intelligent vehicles (IVs) in vehicular edge computing (VEC), this paper proposes a trajectory-aware dynamic offloading (TADO) framework for high-mobility vehicular edge systems. A lightweight T-pattern trajectory-aware algorithm is designed to efficiently predict the next-hop road side unit (RSU) by mining spatio-temporal patterns from historical trajectories of vehicles, offering a forward-looking reference for offloading decisions. A joint optimization model is constructed, and a service interruption risk factor driven by trajectory prediction is introduced. An improved DRL method is developed. It takes the predicted …

Multi-Auv Pursuit Algorithm With Phased Guidance Based On Maddpg, Sen Zhang, Sihang Shen, Xiaojie Sun, Jingping Shao, Shuaiqiang Guo, Yingjie Deng

Journal of System Simulation

Abstract: To address the problems such as low exploration and sampling efficiency and sparse rewards in the early training stage under the complex target pursuit environment of multiple AUVs based on MADDPG, a phased-guidance curriculum MADDPG (PGC-MADDPG) algorithm was proposed. The pursuit task was divided into two phases, i.e., target tracking and encircling, through curriculum learning. In the target tracking phase, an experience strategy based on the APF method was introduced as a guidance item to provide prior knowledge of the target direction and accelerate the AUV training speed. After entering the encircling phase, the APF guidance item was removed, …

Study On Trajectory Optimization Of Spray Painting Robot Based On Improved Sparrow Search Algorithm, Jie Yang, Zhenkai Xiong, Longyan Wang

Journal of System Simulation

Abstract: To address the challenges posed by the complex working environment to the trajectory planning of the spray painting robot, a multi-strategy integrated sparrow search algorithm (MISSA) was proposed with the dual optimization objectives of time efficiency and motion smoothness. The 3-5-3 polynomial interpolation method was adopted to design the trajectory curve, aiming to ensure continuous angular displacement, angular velocity, and angular acceleration throughout the process. A multidimensional optimization problem with joint constraints was constructed using the total trajectory duration as the performance index. MISSA, which integrates refraction reverse learning, sine-cosine adaptive adjustment, and Cauchy mutation, was utilized to optimize …

Research On Multi-Objective Hybrid Flow-Shop Scheduling With Order Splitting, Junjie Yu, Weixi Ji, Chen Chen, Jingyu Lu, Chaoyang Zhang

Journal of System Simulation

Abstract: To address the order splitting multi-objective hybrid flow-shop scheduling problem (OSMOHFSP), a dual-objective optimization model was formulated with the objectives of minimizing makespan and total order tardiness. Fixed sub-batch specification constraints were incorporated to reflect common splitting limitations in actual production. A sub-batch generation strategy based on a candidate set of sub-batch specifications was designed to efficiently filter feasible splitting combinations, effectively reducing the search space dimensionality and computational complexity. A hybrid multi-objective metaheuristic algorithm integrating NSGA-II and SA was proposed. The global search capability was enhanced by constructing two crossover and four mutation operators. An improved SA embedding …

Ultra-Short-Term Photovoltaic Power Prediction Method Based On Spatio-Temporal Feature Enhancement Of Ground-Based Cloud Images, Zhiwei Kou, Fengyue Xin, Xiaoming Cui, Yu Yin, Feifan Li, Yongsheng Qi

Journal of System Simulation

Abstract: In view of the time lag in ground-based cloud image acquisition and the insufficient accuracy of existing photovoltaic power prediction models, an ultra-short-term photovoltaic power prediction method named spatial-temporal feature enhancement-ground-based cloud image-improved LSTM (STFE-GCI-ILSTM), which is based on spatio-temporal feature enhancement-ground-based cloud images-improved long short-term memory (LSTM) network was proposed. A ground-based cloud image prediction model with multi-scale spatio-temporal feature enhancement (STFE-GCI) was constructed. By spatial feature enhancement, temporal feature enhancement, and multi-scale feature fusion technologies, the deep spatio-temporal features of historical cloud image sequences were extracted to generate future predicted cloud image sequences, thereby eliminating the time …

Simulation Platform Based On Soc-Fpga Clusters For Cxl-Ethernet Heterogeneous Interconnection, Xu Zhang, Ke Liu, Mingyu Chen

Journal of System Simulation

Abstract: To address the difficulty of balancing simulation speed and topology flexibility when simulating large-scale, CXL-Ethernet heterogeneous interconnect datacenter scenarios with existing CXL simulation platforms, this paper presents CNetSim, a semi-physical simulation platform based on an SoC-FPGA cluster. The platform employs SoC-FPGA hardware to emulate endpoint nodes, leveraging their real processors and memory devices as well as FPGA-implemented CXL. mem protocol to support high-speed execution of standard Linux systems and real distributed applications. Meanwhile, it utilizes the flexible topology configuration capability of software simulation to implement CXL switched networks and inter-rack Ethernet interconnects based on DPDK on simulation servers. Simulation …

Optimization Of Convective Heat Transfer Parameters For Spindles Based On Finite Element Thermal Analysis, Jiali Zhang, Haiping Liu, Qinsheng Jiang, Sina Dang

Journal of System Simulation

Abstract: In view of the low simulation accuracy of existing finite element models for thermal characteristics of spindles caused by ignoring the influences of geometric characteristics of convective surfaces and fluid flow patterns and often adopting constant temperature loading in the setting of convective heat transfer boundary conditions, this paper proposed an optimization method for convective heat transfer parameters of spindles based on finite element thermal analysis. Combined with the geometric shapes and spatial positions of various convective surfaces of the spindle system, the calculation criterion of the convective heat transfer coefficient was determined through dimensional analysis according to the …

Simulation And Optimization Of Task Offloading In Mine Edge Computing For Low-Concurrency Devices, Zhaolu Guo, Qianhui Liu

Journal of System Simulation

Abstract: With the advancement of mine intelligence, task offloading technology has become a core technology of mine edge computing (MEC). For edge computing systems deployed with mine low-concurrency devices (MLCD), a discrete-event simulation model for MEC task offloading oriented to MLCD was constructed to solve the collaborative optimization problem of task processing latency and load balancing of mine edge servers (MES). By dynamically simulating the queuing, transmission, and computation processes of tasks, the objective of minimizing task processing latency was achieved. An improved evolutionary algorithm, ISBT-EA, was proposed, which integrated a task-characteristic-driven initialization strategy and local search operators, enhancing the …

Prediction Of Industrial Concentration Parameters Based On Caudformer Model, Kaipeng Xu, Yan Wang, Xin Zhang, Yang Liu, Zhenzhong Wang, Xiang Liu, Zhicheng Ji

Journal of System Simulation

Abstract: To solve the problems in the industrial concentration process of traditional Chinese medicine that traditional prediction methods are difficult to deal with complex characteristics such as nonlinearity, high-dimensional coupling, and highly skewed distribution and that existing deep learning models insufficiently consider causal relationships among variables, ignore frequency-domain periodic characteristics, and lack long-range dependency modeling capabilities, an improved multivariate time series prediction model CauDformer was proposed in this paper. Based on the iTransformer architecture, a causal multi-head self-attention mechanism (C-MHSA) was introduced to compulsorily constrain the dependency direction among variables by utilizing a lower triangular causal mask, guiding the model …

Understanding The Structural Drivers Of Useful Exergy Intensity, João Santos, Tiago Domingos, Tânia Sousa, Matthew Kuperus Heun, André Serrenho

University Faculty Publications and Creative Works

Energy-Economy Decomposition Analysis Across 112 Countries 1971-2020

Exploring The Relationship Between Energy Use And Sectoral Output At The Useful Stage, Daniel Chester, Ritika Susarla, Paul Brockway, Emmanuel Aramendia, Matthew Magness, Matthew Kuperus Heun

University Faculty Publications and Creative Works

1.Develop a publicly-available dataset of sectoral useful energy/exergy intensities

• And final, where not already existing

• How do global sector-level trends change when viewed from the useful stage?
• Are similar convergence patterns observed compared to previous analysis?
• How do sectoral differences explain aggregate convergence/divergence?

Amplifying Change For Adolescent Girls In West And Central Africa Through Economic Empowerment, Mame Soukeye Mbaye, Sarah Engebretsen, Maty Dia, Karen Austrian

Adolescents and Young People

The Girls’ Futures in Focus: Evidence from West and Central Africa series examines the challenges facing adolescent girls in the region and highlights evidence-informed approaches to improving their lives. This brief summarizes the evidence on adolescent girls’ economic empowerment—income, livelihoods, savings, financial inclusion, agency, transition to work, or all of the above—in West and Central Africa, drawing in particular on evidence from the GIRL Center’s priority countries. The brief points to what shifts adolescent girls’ economic trajectories in the region, especially in fragile and low-resource settings.

Proteogenomics Of Hypertrophic Cardiomyopathy Reveals Subtype-Specific Therapy, Ke Ma, Jie Yang, Hongchang Guo, Ping Li, Xiaowei Li, Zhujun Dong, Jing Zhang, Congcong Zhang, Pengli Yang, Chongpei Hua, Shuolin Zhu, Guoqing Li, Jianchao Zhang, Ningyu Ding, Jizheng Wang, Xin-Liang Ma, Zhuofeng Lin, Jianzeng Dong, Yang Li, Yulin Li

Department of Emergency Medicine Faculty Papers

BACKGROUND: Hypertrophic cardiomyopathy (HCM) is a heterogeneous disease with diverse prognosis. The underlying mechanisms remain unknown, resulting in limited risk stratification and therapeutic strategies. This study aimed to elucidate molecular subtypes of HCM through integrated proteogenomic analysis and explore subtype-specific therapeutic strategies.

METHODS: We conducted an integrated proteogenomic analysis of 132 patients with HCM using myocardial samples, incorporating whole-exome sequencing, RNA sequencing, and proteomics. Unsupervised clustering was used to identify HCM subtypes, which were validated in heart tissues and human induced pluripotent stem cell-derived cardiomyocytes from 2 independent HCM subsets. Subtype-specific signatures and pathways were explored, and their causal link …

Immediate Postoperative Pacing Dependency Is Not Associated With Worse Mid-Term Survival In Redo Mitral Valve Surgery, Devon Kelley, Joyce Ho, Andrew Belec, Takahiro Tashima, Victoria Li, James Lao, Varun Kathawate, Kazuhiro Ueno, Amit Iyengar, Jessica Dominic, Pavan Atluri

Division of Cardiology Faculty Papers

Risk factors (RF) for permanent pacemaker (PPM) placement in cardiac surgery include valvular operations and redo operations. We aim to identify RF for PPM placement prior to discharge (DC) specifically among redo mitral valvular operations, and to analyze outcomes in this population. Our retrospective review considered 943 patients undergoing redo MV operations between 01/2002 and 12/2021, excluding patients experiencing in-hospital death within 48 hours of their operation and patients with existing PPM or implanted cardiac defibrillator (ICD). Patients (n = 742) were categorized based on whether they received a PPM before DC or not. Of the 742 patients analyzed, 47 …

In Vivo Evidence Of Blood Flow Slippage: Failure Of The No-Slip Boundary Condition Assumption, Alena Jarolímová, Jaroslav Hron, Karel Tůma, Radomír Chabiniok, Josef Málek, Keshava Rajagopal

Division of Cardiology Faculty Papers

The assumption that blood adheres to vessel walls with zero tangential velocity component, the so-called "no-slip" boundary condition, is a foundational premise of cardiovascular fluid dynamics. Whether the no-slip condition holds in vivo, however, remains unknown. Seven healthy adult volunteers underwent cardiovascular magnetic resonance imaging. With four-dimensional flow magnetic resonance imaging of the descending thoracic aorta and modeling blood as a Navier-Stokes fluid, near-wall blood velocities were quantified, and wall shear stress was calculated based on the measured velocity fields. Within the Navier-Stokes data assimilation framework, tangential wall velocities of ∼30-80% of the mean luminal velocity were consistently obtained. These …

His 127 Microhistories: A Lens Into The Past — Apartheid In South Africa Syllabus, Marta Millar

Open Educational Resources

The microhistory course introduces students to the study of history by exploring a particular event, individual, or issue, and its legacy. Students will read both primary source documents and modern texts to examine how the topic under consideration was shaped by, and in turn shaped contemporary culture.

This syllabus is for a course focusing on the history of apartheid in South Africa. Students will analyze the political, social, economic, and cultural aspects of the apartheid era. This includes understanding how segregationist policies developed in South Africa, what political transformations led to the implementation of the apartheid system, how different policies …

Improving Continuity Of Care: Evaluating Universal Nursing Handoff Sheets, Elizabeth Ifeloluwa Sanya

Doctor of Nursing Practice Posters and Presentations

Effective communication during nursing handoffs is essential for safe, patient-centered care, as breakdowns in communication are a leading cause of adverse patient outcomes. At a large academic level I trauma center, inconsistent nursing handoff practices were identified across progressive care units following the COVID-19 pandemic. This variability contributed to incomplete transfer of patient information and was associated with increased patient safety incidents, including delayed wound care, central line dressing lapses, and medication errors involving high-alert therapies. The purpose of this DNP project was to plan, implement, and evaluate the use of  standardized nursing handoff sheet and its impact on continuity …