Digital Commons Network^™

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 …

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 …

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 …

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 …

Harnessing Nitrogen Fixing Plants For A Bio-Solar Nitrogen Economy, Taufiq Nawaz, Liping Gu, James Young, Riffat Latif, Mazhar Sher, Lan Xu, Shah Fahad, Ruanbao Zhou

Natural Resource Management Faculty Publications

The fossil fuel–driven chemosynthesis of ammonia for nitrogen fertilizers is a major contributor to global greenhouse gas emissions, releasing approximately 1130 million metric tons (MMT) of CO₂-equivalent annually. In addition, the extensive use of synthetic nitrogen fertilizers (≈108 MMT annually) results in substantial emissions of nitrous oxide (N₂O), while nearly 50% of applied nitrogen is lost through leaching and runoff, leading to widespread nitrate pollution and ecosystem degradation. In contrast, solar-powered biological nitrogen fixation (BNF) by nitrogen-fixing plants offers a sustainable alternative that supports agricultural productivity and healthy ecosystem resilience. BNF by leguminous and non-leguminous plants …

David Edmonds, Parfit: A Philosopher And His Mission To Save Morality, T. J. Mawson

Faith and Philosophy: Journal of the Society of Christian Philosophers

No abstract provided.

Long-Term Outcomes And Symptom Response Following Hypofractionated Stereotactic Radiotherapy For Intracranial Meningioma, Ryan Shah, Bs, Nilanjan Haldar, Shray Jain, Lauren Holt, Sophia Shah, Hamail Iqbal, Anthony Chen, Christopher J. Farrell, Debanjan Haldar, James J. Evans, Gregory S. Alexander, Wenyin Shi

Department of Neurology Faculty Papers

Objective: Various radiation dosing regimens exist due to tumor size, location, and patient preference. This study evaluated the long-term outcomes of patients with benign meningiomas treated with hypofractionated stereotactic radiotherapy (SRT)at our institution.

Methods: This is a retrospective review of all patients diagnosed with meningioma at our institution who received hypofractionated SRT (5 fractions). Clinical data, including tumor location, size, prior treatments, demographics, radiation dosimetric information, tumor response, and survival were collected. Kaplan-Meier curves were used to assess local control (LC). Acute and late toxicities were evaluated. Patients were included for analysis if they had at least one post-treatment magnetic …

Inflammation Associated With Obesity, Aging, And Amyloid Burden In Adults With Down Syndrome, Victoria L. Fleming-Batayneh, Brian C. Helsel, Lauren T. Ptomey, Benjamin L. Handen, Mark Mapstone, Melissa Petersen, Sharon J. Krinsky-Mchale, Christy L. Hom, Davneet Minhas, Weiquan Luo, Charles Laymon, Joseph H. Lee, Annie Cohen, Beau M. Ances, Adam M. Brickman, Margaret Pulsifer, H. Diana Rosas, Florencia Lai, Shahid H. Zaman, Elizabeth Head, Dana Tudorascu, Julie Price, Fredrick Schmitt, Bradley T. Christian, Ozioma Okonkwo, Sigan L. Hartley, Beau M. Ances, Howard F. Andrews, Karen Bell, Rasmus M. Birn, Adam M. Brickman

Neurology Faculty Publications

Objective: Adults with Down syndrome (DS) often show elevated systemic inflammation, but the association with obesity, aging, and Alzheimer's disease (AD) pathology is not well understood. Methods: Data were drawn from 188 nondemented adults with DS participating in the Alzheimer Biomarkers Consortium-DS (ABC-DS). Participants completed clinical assessments, blood draws, and neuroimaging. Plasma biomarkers included indicators of general, pro-, and anti-inflammation. Mixed linear models tested associations between BMI, age, PET-measured amyloid burden, and inflammatory biomarkers, adjusting for sex, trisomy type, and collection site. False discovery rate correction was applied. Results: The majority of the participants met criteria for obesity. Higher BMI …

Using Clinical And Thrombus Characteristics To Predict The Etiology Of Ischemic Stroke, Graham A. Branscom, Carina Seah, Tannishtha Som, James Vicari, Alan R. Dabney, Selva Baltan, Farida Sohrabji, Keith Pennypacker, Keith B. Woodward, Benjamin I. Rapoport, Sol Schulman, Justin F. Fraser, Christopher P. Kellner

Neurology Faculty Publications

Background and purpose: Ischemic stroke comprises about 87% of all stroke cases in the US. 20% of these have a cardioembolic (CE) etiology, and 25% are still considered embolic strokes of undetermined sources (ESUS). ESUS strokes are associated with worse functional outcomes and survival rates, underscoring the need for understanding the clinical differences in stroke etiology. Methods: We analyzed the Investigation of Clot in Ischemic Stroke and Hematoma Evacuation (INSIGHT) registry (NCT04693767, https://clinicaltrials.gov/study/NCT04693767), which includes n=388 patients total (n=208 CE, n=142 AFIB, n=180 non-CE). We analyzed 123 data features, spanning across domains including demographics, past medical history, baseline blood lab …

Adolescent Brain Activity During Associative Memory Encoding Is Related To Dietary Nutrient Intake, K S. Mohankumar, C T. Eickstead, A Bolaram, D K. Grey, C A. Orihuela, R Evans, S Mrug, D C. Knight

Expo Student Presentations

2026 Summer Expo Poster Presentation

• Social & Behavioral Sciences

Practice Brief—Reading Strategies For Parents And Teachers, Kelsey Davison, Rebecca Marks

Science of Reading

Shared reading is an important context for supporting young children's language and emergent literacy development. Research has identified evidence-based strategies that parents and educators can use to make shared reading more interactive, language-rich, and supportive of children's learning. This brief reviews these strategies and how they can strengthen the early language skills that provide the foundation for learning to read.

Addressing Homelessness As A Key Risk Factor For Overdose Deaths In King County, Washington, Catherine Mutti-Driscoll

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement:

In this portfolio, I identify prevention strategies that address the nested problems of overdose deaths and homelessness in King County, Washington. By examining how housing instability, substance abuse, structural racism, and gaps in coordinated care intersect, this paper advocates for a responsive prevention approach that combines evidence-based substance abuse strategies, phased housing approaches, and culturally responsive care.

Significant Findings:

While recent harm reduction measures have improved overdose death rates in King County, unhoused individuals continue to account for 50% of the county’s still concerning fatal overdose numbers. Data shows that historical racism in King County also shapes who …

Reducing Chronic Loneliness Among Lgbtq+ Older Adults In Greater Seattle, Douglas J. Gallup

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement

The goal of this project is to reduce chronic loneliness and social isolation among LGBTQ+ adults age 65 and older in the Greater Seattle area by increasing access to affirming, accessible, and evidence-informed opportunities for meaningful connection.

Significant Findings

LGBTQ+ older adults in Seattle and King County face elevated risks of living alone, social isolation, and limited access to affirming services, while also demonstrating substantial resilience (Fredriksen-Goldsen et al., 2015). A promising approach would combine meaningful activity, social support, practical access assistance, and PEARLS-informed strategies. GenPride is a logical community partner because its programs foster well-being and belonging …

Preventing Mental Health Issues In Children And Adolescents With Learning Disabilities, Laura Barrett

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

Goal Statement: The goal of this social change portfolio is to prevent mental health issues in children and adolescents with learning disabilities in the state of Utah.

Significant Findings: Children and adolescents with learning disabilities (LDs) in Utah face elevated risks of anxiety, depression, low self-esteem, and related difficulties stemming from chronic academic frustration and social challenges, yet substantial service gaps for this vulnerable population exist. Approximately 58% of children needing mental health care in Utah do not receive any, and only about half of the estimated 58,000 students diagnosed with LDs have specialized educational supports such as individualized education …

Adolescent Social Disconnection And Social Media Overuse In San Jose, California, Gilmour Arufo

Selected Social Change Portfolios in Prevention, Intervention, and Consultation

The goal of this Social Change Portfolio is to support the implementation of a school-based prevention program for high school students in San Jose, California, that promotes healthy technology use, strengthens peer and adult connections, and increases participation in face-to-face social activities. The proposed program seeks to increase adolescents' awareness of their social media use patterns while strengthening protective factors associated with positive youth development, including school connectedness, supportive peer relationships, trusted adult relationships, and meaningful social engagement.

Believing And Belonging: Americans’ Religious Practices And Their Trust In Government, Hwayong Shin

Weidenbaum Center Survey (WCS) Reports

Data from the Weidenbaum Center Survey (WCS) offer new insights into Americans’ religious and political lives by addressing two broad questions. First, how religious are Americans today, and how does religiosity vary across age and partisan groups? Waves 1–8 of the WCS, conducted between 2023 and 2026, are used to answer this question. Second, how are different forms of religiosity associated with trust in government, and do these relationships differ across age and partisan groups? To answer this question, this article leverages Waves 6–8 of the WCS, which included measures of trust in government, conducted between 2025 and 2026. The …

Full Marc Examples To Accompany Olac Best Practices For Cataloging Dvd-Video And Blu-Ray Discs, Objects, Streaming Media, Video Games, And Digital Media Storage Devices Using The Original Rda Toolkit And Marc 21, Kristi Bergland, Mary Huismann, John Dickson, Autumn Faulkner, Robert B. Freeborn, Jeannette Ho, Sarah Hovde, Kyla Jemison, Yoko Kudo, Junghae Lee, Jack Nighan, Alex Whelan

OLAC Publications and Training Materials

Examples of MARC 21 catalog records to accompany the OLAC Best Practices for Cataloging DVD-Video and Blu-ray Discs, Objects, Streaming Media, and Video Games Using the Original RDA Toolkit and MARC 21.

Hsv-1 Us3 Hijacks Conserved Actin Regulatory Complexes To Drive F-Actin Remodeling, Md Imran Hossain, Md Arifuzzaman, Md Mehedi Hasan, Seung Jong Park, Leila Rahimian, Ojasvi Dutta, Vladimir Chouljenko, Harikrishnan Mohan, Reza Ghavimi, Konstantin G. Kousoulas

Computer Science Faculty Research & Creative Works

The herpes simplex virus 1 (HSV-1) US3 is a multifunctional serine/threonine kinase that promotes HSV-1 replication and spread. But its role and the mechanisms by which US3 regulates actin cytoskeletal remodeling remain poorly defined. We combined flow cytometry, confocal microscopy, immunoprecipitation-mass spectrometry (IP-MS), protein complex mapping, and machine learning to characterize US3-mediated F-actin dynamics. Flow cytometry and confocal microscopy showed that wild-type HSV-1 induces significant F-actin remodeling, while the ΔUS3 mutant displays F-actin levels comparable to uninfected cells, identifying US3 as a key regulator. IP-MS identified 47 high-confidence US3 interactors enriched in conserved actin regulatory complexes, including Arp2/3 nucleation machinery, …

Generation-Augmented Video Corpus Moment Retrieval, Mingjin Kuai, Qianyin Xiao, Juncheng Li, Jin Peng, Lizi Liao, Wei Ji

Research Collection School Of Computing and Information Systems

Video Corpus Moment Retrieval (VCMR) requires models to efficiently retrieve and precisely locate specific moments relevant to natural language queries within a massive, untrimmed video corpus. However, existing discriminative approaches typically rely on shallow visual-textual feature matching mechanisms, which often struggle to capture fine-grained semantic differences. To address this limitation, we propose Video-GAR, a novel framework that reframes the conventional retrieval task from superficial matching to generative understanding, positing that the capability for query reconstruction evidences deep semantic comprehension. Specifically, Video-GAR orchestrates three synergistic components: To overcome the computational efficiency bottleneck, we construct a Bi-Mamba backbone that leverages the linear …

A Refined Generalization Analysis For Extreme Multi-Class Supervised Contrastive Representation Learning, Minh Hieu Nong, Antoine Ledent

Research Collection School Of Computing and Information Systems

Contrastive Representation Learning (CRL) has achieved strong empirical success in multiple machine learning disciplines, yet its theoretical sample complexity remains poorly understood. Existing analyses usually assume that input tuples are identically and independently distributed, an assumption violated in most practical settings where contrastive tuples are constructed from a finite pool of labeled data, inducing dependencies among tuples. While one recent work analyzed this learning setting using U-Statistics to estimate the population risk, the techniques used therein require the risk of each class to concentrate uniformly, making excess risk bounds scale in the order of where denotes the probability of the …

Universal Rules Of The Russian Sound Verbs’ Synthesis: Representation In A Matrix Of Forms, Irina V. Ivliyeva

Arts, Languages and Philosophy Faculty Research & Creative Works

English Abstract:

The article is devoted to the construction of a system of universal rules for the synthesis of modified verbs of the Russian language and ways of presenting them in a matrix table of forms. The aim of the study is to identify parameters of the sound process relevant for predicting the composition of modified sound verbs’ nests, and in developing a system of rules of word-formation synthesis. The research material consisted of 152 base verbs of sound in the Russian language and their 880 modified derivatives.

Methods of lexical-semantic, word-formation (WF) and component analysis are used in the …

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 …

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 …

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 …

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 …