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Cooperative Hunting Method For Multiple Usvs Based On Improved Maddpg, Yonghao Zhang, Changyou Xue, Xueman Fan, Zhuo Cheng Oct 2026

Cooperative Hunting Method For Multiple Usvs Based On Improved Maddpg, Yonghao Zhang, Changyou Xue, Xueman Fan, Zhuo Cheng

Journal of System Simulation

Abstract: A cooperative hunting method based on improved multi-agent deep deterministic policy gradient (MADDPG) is proposed to address the challenges of non-stationary environments, sparse rewards, and partial observations in the cooperative hunting of targets with unknown motion patterns by multiple unmanned surface vessels (USVs). A Markov game model for hunting is built, and a multidimensional guided reward shaping function incorporating collision avoidance, hunting success, and energy consumption penalties is designed to mitigate the sparse reward problem. ResNet residual networks are introduced to construct the Actor and Critic networks and thus enhance the representation capability of deep networks for complex state-action …

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Five-Axis Multi-Station Process Planning Based On Multi-Task Graph Reinforcement Learning, Junjie Liu, Jianlei Xu, Litao Ju, Yanhai Hu, Qinghao Zhang, Qiang Liu Oct 2026

Five-Axis Multi-Station Process Planning Based On Multi-Task Graph Reinforcement Learning, Junjie Liu, Jianlei Xu, Litao Ju, Yanhai Hu, Qinghao Zhang, Qiang Liu

Journal of System Simulation

Abstract: A hierarchical intelligent planning architecture integrating multi-task graph and masked proximal policy optimization (MTG-MPPO) is proposed to address the challenges of factorial expansion of the state space and multi-objective interference in five-axis multi-feature machining. An attributed adjacency graph integrating boundary representation and machining direction vectors is constructed. Probabilistic soft labels are output through a multi-task network to quantify process flexibility and thus achieve prior topological pruning of solution space. An MDP model integrating directed acyclic graph masks and dense reward shaping is built. A Monte Carlo (MC) optimization mechanism based on policy distribution is introduced to coordinate cutting, tool-changing, …

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Dynamic Multi-Objective Optimization Algorithm Based On Residual-Driven Two-Stage Prediction And Its Application, Xin Zhang, Han Wang, Pengjiang Qian, Wei Fang Oct 2026

Dynamic Multi-Objective Optimization Algorithm Based On Residual-Driven Two-Stage Prediction And Its Application, Xin Zhang, Han Wang, Pengjiang Qian, Wei Fang

Journal of System Simulation

Abstract: A dynamic multi-objective optimization algorithm based on residual-driven two-stage prediction (RDTP) is proposed to address the dilemma of prediction strategies in dynamic multi-objective optimization struggling with insufficient samples in the early stage and low accuracy in the later stage. In the initial stage, if an environmental change is detected, grey prediction, which is fast and suitable for small samples, is employed to generate individuals for the new environment. A residual analysis is performed to determine whether to switch to a LSSVM to improve prediction accuracy as more samples become available. The Pareto front is clustered to select detection objects. …

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Optimization Of Mobile Power Resource Allocation And Scheduling For Multi-Point Emergency Response, Ding Ma, Tao Zhang, Bo Jiang, Yajie Liu, Shuijia Li Oct 2026

Optimization Of Mobile Power Resource Allocation And Scheduling For Multi-Point Emergency Response, Ding Ma, Tao Zhang, Bo Jiang, Yajie Liu, Shuijia Li

Journal of System Simulation

Abstract: In extreme event scenarios, urban mobile power resources (MPRs) suffer from uneven spatial distribution and capacity mismatch during emergency scheduling. To achieve globally rational allocation and improve resource configuration and power supply guarantee, a two-stage decision-making method for MPR allocation and scheduling is proposed for multi-point emergency power demands. First, the characteristics of MPRs and travel energy consumption are modeled. In the first stage, an allocation model considering demand satisfaction, capacity matching, and dispatch time is established to solve the macro-level matching problem between MPRs and demand points. In the second stage, an interface scheduling model is constructed based …

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Coordinated Optimization Of Heterogeneous Fleet Configuration And Multimodal Routing For Industrial Clusters, Renxin Xiao, Yifan Xu, Guisheng Chen, Nan Pan Oct 2026

Coordinated Optimization Of Heterogeneous Fleet Configuration And Multimodal Routing For Industrial Clusters, Renxin Xiao, Yifan Xu, Guisheng Chen, Nan Pan

Journal of System Simulation

Abstract: A two-level optimization model integrating heterogeneous electric vehicle fleet configuration with multimodal path coordination is built to address the challenges in industrial cluster freight transportation involving electric heterogeneous fleet scheduling, such as diverse tasks and stringent constraints on energy consumption and delivery timeliness. Considering the performance coupling characteristics of heterogeneous electric fleets in terms of load-energy consumption-endurance, based on the coordination of multimodal paths and fleet configuration coding, the upper level employs the GWO to optimize task splitting and fleet configuration. The lower level adopts a multi-neighborhood SA algorithm to achieve path coordination scheduling. Simulation results show that the …

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Simulation Study On Circular-Track Rgv Scheduling Based On Railway Operating Rules, Hualan Wang, Li Wang, Zhongning Fu Oct 2026

Simulation Study On Circular-Track Rgv Scheduling Based On Railway Operating Rules, Hualan Wang, Li Wang, Zhongning Fu

Journal of System Simulation

Abstract: To address the limitations of circular RGV systems under high-density operating conditions, including a simple operational structure and limited parallel operation capability, this study investigates track structures and dispatching mechanisms for complex operational requirements. Based on the agent-based modeling method implemented on the AnyLogic platform, a simulation model of an RGV system with a nested circular track layout was developed, in which an embedded sub-loop equipped with track-switching devices is introduced into the traditional circular track structure. Operating and dispatching rules suitable for the nested circular structure are designed by incorporating the concepts of section operation and overtaking in …

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Air Defense Resource Allocation And Reconstruction Method Based On Kggom, Jiaoxiong Chen, Chenglong Zhang, Yuqiang Zhao, Xianglin Li, Qiang Zhao Oct 2026

Air Defense Resource Allocation And Reconstruction Method Based On Kggom, Jiaoxiong Chen, Chenglong Zhang, Yuqiang Zhao, Xianglin Li, Qiang Zhao

Journal of System Simulation

Abstract: To address the challenge that traditional solving methods cannot meet real-time requirements in the intelligent allocation and reconstruction of air defense operation resources, this paper focuses on an intelligent solving method for the dynamic allocation and reconstruction of intercept timing sensor-weapon-target. A multi-constraint model is established with damage effectiveness and operation cost as optimization objectives, and a knowledge-guided genetic optimization method (KGGOM) is proposed. Through knowledge-guided population generation and evolution, constraint-aware operators with correction mechanisms, and multi-path search combined with simulated annealing for gene correction, it improves its optimization capability and speed. Historical superior solution retention and dynamic elite …

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Hybrid Jaya-Transformer-Based Task Scheduling Algorithm For Super-Agile Satellites, Haoyu Zhao, Guanghui Zhang, Lanting Hao, Meijia Guo Oct 2026

Hybrid Jaya-Transformer-Based Task Scheduling Algorithm For Super-Agile Satellites, Haoyu Zhao, Guanghui Zhang, Lanting Hao, Meijia Guo

Journal of System Simulation

Abstract: Super-agile satellite task scheduling is characterized by complex constraints and tight coupling among task transitions. To address the relatively long online solution times of traditional heuristic algorithms, this paper establishes a super-agile satellite task scheduling model that aims to maximize the task profit ratio while considering constraints on visible time windows, attitude transition time, energy, and storage capacity. A Transformer is used to learn task requirements, visible time windows, and global correlations among tasks, and a dynamic mask and a task scheduler are incorporated to generate feasible task sequences. To enhance the model's ability to learn complex task correlations …

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Aerial Refueling Scheduling Plan Generation Method For Multi-Position Task Management *, Jiachen Hu, Huanyu Li Oct 2026

Aerial Refueling Scheduling Plan Generation Method For Multi-Position Task Management *, Jiachen Hu, Huanyu Li

Journal of System Simulation

Abstract: An aerial refueling scheduling plan generation method based on hierarchical hybrid strategy is proposed to address the high complexity of aerial refueling scheduling for multi-position tasks and the difficulty for traditional manual operations or single-position-oriented solutions to manage tasks effectively. A multi-level strategic framework based on fixed-rule heuristics, rolling horizon optimization, and steady-state cyclic scheduling is developed and integrated into a hierarchical hybrid strategy to balance scheduling efficiency, optimization capability, and emergency response capability. Simulation results demonstrate that the proposed method effectively generates feasible refueling scheduling plans, producing viable plans under both undisturbed rotational operations and disturbed dynamic support …

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Flight Test Mission Planning Method Based On Adaptive Large Neighborhood Search, Luofu Wu, Xinyang Wu, Lunhao Ju, Guopeng Song, Rui Wang, Jiang Jiang Oct 2026

Flight Test Mission Planning Method Based On Adaptive Large Neighborhood Search, Luofu Wu, Xinyang Wu, Lunhao Ju, Guopeng Song, Rui Wang, Jiang Jiang

Journal of System Simulation

Abstract: Flight test mission planning is critical to aircraft performance evaluation, but traditional manual methods often struggle with extensive solution spaces and complex constraints. This paper constructs an overall flight test mission planning model and introduces a flight test planning algorithm (FTPA) based on adaptive large neighborhood search. FTPA utilizes Kahn topological sorting to generate an initial test-item priority sequence, which is then decoded into an initial solution, and jointly schedules flight test items and test aircraft within the adaptive large neighborhood search framework. A comparison with the CPLEX solver shows that the FTPA algorithm yields solutions with a gap …

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Large Language Model-Assisted Control Framework For Mixed Remote Sensing Satellite Constellations, Guohua Wu, Ziyan You, Lei Li, Yi Gu, Shuanglin Li Oct 2026

Large Language Model-Assisted Control Framework For Mixed Remote Sensing Satellite Constellations, Guohua Wu, Ziyan You, Lei Li, Yi Gu, Shuanglin Li

Journal of System Simulation

Abstract: A LLM-assisted control framework for mixed remote sensing satellite constellations is proposed to address the problem that the control and scheduling of mixed remote sensing satellite constellations cannot process users' raw natural language observation requirements and realize full-process automation from requirement input to scheduling schemes. LLMs are utilized to enhance the construction of domain knowledge graphs, requirement understanding and task characterization, and realize intelligent generation of scheduling schemes and optimal solution of scheduling models. A scheduling scheme generation method based on the "planning and execution" dual-Agent architecture is designed. Combined with the constellation scheduling toolset, the capability boundary of …

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On-Orbit Refueling Mission Planning Of Satellites Based On Improved Nsga-Ii, Guozheng Li, Rui Wang, Yi Lu Oct 2026

On-Orbit Refueling Mission Planning Of Satellites Based On Improved Nsga-Ii, Guozheng Li, Rui Wang, Yi Lu

Journal of System Simulation

Abstract: An improved NSGA-II solution framework based on multi-tree encoding is proposed to address the problems of high modeling complexity under large-scale scenarios and the tendency of traditional algorithms to fall into local optima. Based on multi-tree modeling, the complex mixed-integer programming problem is transformed into a multi-tree configuration optimization problem, thus reducing the constraint handling difficulty and improving the search efficiency of the solution space. Multi-tree crossover and mutation operators as well as the calculation method for objective functions are designed. A large neighborhood search (LNS) strategy is introduced, and the global exploration and local exploitation capabilities of the …

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High-Fidelity Dynamic Digital Twin Modeling Method For Permanent Magnet Synchronous Motor, He Lai, Jinquan Yang, Cong Peng, Bei Li Oct 2026

High-Fidelity Dynamic Digital Twin Modeling Method For Permanent Magnet Synchronous Motor, He Lai, Jinquan Yang, Cong Peng, Bei Li

Journal of System Simulation

Abstract: Conventional mechanism models often suffer from model mismatch due to the absence of nonlinear mechanical damping representation and the dynamic drift of electromagnetic parameters. To address this issue, a high-fidelity dynamic digital twin modeling method for permanent magnet synchronous motors is proposed. In the static mechanism modeling dimension, a friction energy decoupling strategy is proposed, which fundamentally overcomes the inherent conflict between steady-state accuracy and transient response from a physical logic perspective. For dynamic model updating, a distributed cascaded sensing architecture based on the multi-innovation recursive least squares and extended Kalman filter (MIRLS-MIEKF) algorithms is proposed. This architecture enables …

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Scheduling Optimization For Cascaded Hybrid Flow Shop Integrating Llm And Rl, Fuqing Zhao, Bin Wu, Tianpeng Xu, Ningning Zhu, Houbin Song, Yukai Yao Oct 2026

Scheduling Optimization For Cascaded Hybrid Flow Shop Integrating Llm And Rl, Fuqing Zhao, Bin Wu, Tianpeng Xu, Ningning Zhu, Houbin Song, Yukai Yao

Journal of System Simulation

Abstract: For the cascaded hybrid flow shop scheduling problem with AGV transportation, a multiobjective optimization model is built to minimize the makespan and total energy consumption. A hybrid algorithm framework integrating the LLM, covariance matrix adaptation evolution strategy, and RL strategy selection mechanism is proposed. LLMs are employed to generate heuristic priority rules and construct high-quality initial solutions. Covariance matrix adaption evolution strategy is adopted to optimize the search in continuous priority space, and an enhanced scalar fitness function integrating hypervolume gain and solution diversity is introduced. An RL strategy selection module based on the upper level information boundary is …

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Q-Learning Enhanced Memetic Algorithm For Robust Scheduling Of Space Launch Missions, Rui Lin, Xiaolu Liu, Yonghao Du, Mingyang Geng, Zhenshun Shi Oct 2026

Q-Learning Enhanced Memetic Algorithm For Robust Scheduling Of Space Launch Missions, Rui Lin, Xiaolu Liu, Yonghao Du, Mingyang Geng, Zhenshun Shi

Journal of System Simulation

Abstract: A robust optimization mathematical model and an enhanced memetic algorithm (MA) for space launch mission scheduling are proposed to address the practical challenges in space launch mission scheduling under the influence of multiple uncertainties such as equipment failure, process rework due to quality issues, and technological changes. A robust optimization scheduling model for space launch missions is built by integrating the makespan under the worst-case scenario, the average maximum makespan, and the average deviation of process start times. A Q-learning enhanced memetic algorithm (QMA) is proposed, which can dynamically select parent solutions based on the population state. Simulation experiments …

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Effects Of Differentiated Physical Education Learning On Physical Fitness And Active Lifestyle Among Junior High School Students: A Quasi-Experimental Study, Asep Akbaruddin, Sumbara Hambali, Wahyu Saputra, Mochamad Fajar Permana Oct 2026

Effects Of Differentiated Physical Education Learning On Physical Fitness And Active Lifestyle Among Junior High School Students: A Quasi-Experimental Study, Asep Akbaruddin, Sumbara Hambali, Wahyu Saputra, Mochamad Fajar Permana

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Low levels of physical fitness and physical activity among junior high school students remain a significant concern in physical education. Differentiated instruction offers a potentially effective approach by tailoring learning activities, levels of difficulty, and instructional experiences to students’ readiness, interests, and abilities. Objective: This study aimed to investigate the effects of differentiated physical education instruction on physical fitness and active lifestyles among junior high school students. Methods: A quantitative approach employing a quasi-experimental, nonequivalent control-group design was adopted. A total of 90 junior high school students participated in the study, with 45 assigned to the experimental group and …

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Participatory Research With People With Aphasia: Frameworks, Examples, And Implementation Guidance, Jacqueline J. Hinckley, Katie A. Strong, Brent Archer, Lauren Bislick, Suma R. Devanga, Amy E. R. Engelhoven, Anthony Pak-Hin Kong Oct 2026

Participatory Research With People With Aphasia: Frameworks, Examples, And Implementation Guidance, Jacqueline J. Hinckley, Katie A. Strong, Brent Archer, Lauren Bislick, Suma R. Devanga, Amy E. R. Engelhoven, Anthony Pak-Hin Kong

The Qualitative Report

Participatory research (PR) improves the meaningfulness and efficiency of research and reduces the research-to-practice gap, because it includes the lived experience of those who are affected by the research in the planning, execution, and dissemination of the research. Communication disabilities, like aphasia due to stroke, or communication differences impact the way in which meaningful research collaborations can take place. The purpose of this paper is to describe the ethics, challenges, and opportunities for involving people with aphasia as collaborators in research. We highlight specific examples of PR projects undertaken by community member teams composed of researchers, clinicians, people with aphasia, …

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Implementation Of A Preventative Screen To Detect Heartworm Disease In Local Mosquito Populations, Ava Hurley, Emma Weissmeier, Lucy Corten, Jayden Ockert, Jackson Greenwold-Claiborne, Addison Levitz, Carson Mickey, Alexandra Bonner, Paul E. Richardson Oct 2026

Implementation Of A Preventative Screen To Detect Heartworm Disease In Local Mosquito Populations, Ava Hurley, Emma Weissmeier, Lucy Corten, Jayden Ockert, Jackson Greenwold-Claiborne, Addison Levitz, Carson Mickey, Alexandra Bonner, Paul E. Richardson

Journal of the South Carolina Academy of Science

Heartworm disease, caused by the parasite Dirofilaria immitis, affects thousands of mammalian pets across the nation annually and is increasingly spreading. Various mammalian pets including dogs, cats, ferrets, and horses are affected by the disease, and currently dogs are the only mammalian pets with an approved treatment. This study aims to implement a preventative approach to combating the disease by utilizing a PCR-based screen to detect D. immitis in mosquito populations. Five key objectives were established in this study: refine a preventative screen to detect heartworm DNA in mosquitoes, implement the preventative screen through partnerships with local animal shelters, …

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Development Of Genomic Detection Techniques Of Aquatic Pathogens To Aid In Disaster Relief After Hurricanes, Ana Rose Johnson-Redmon, Abigail F. Turka, Rylie Masterson, Paul E. Richardson Oct 2026

Development Of Genomic Detection Techniques Of Aquatic Pathogens To Aid In Disaster Relief After Hurricanes, Ana Rose Johnson-Redmon, Abigail F. Turka, Rylie Masterson, Paul E. Richardson

Journal of the South Carolina Academy of Science

Extreme weather events such as hurricanes, tropical storms, and flooding can introduce microbial contaminants into freshwater systems through stormwater runoff, animal waste, and damaged or overwhelmed wastewater infrastructure. Rapid detection of waterborne pathogens is important for environmental monitoring and public health response, especially in coastal regions vulnerable to hurricane-related flooding. This study developed and refined a polymerase chain reaction (PCR)-based environmental DNA detection technique to identify aquatic pathogens in freshwater systems. Water samples were collected from four freshwater sites, including three man-made ponds and one drainage ditch, during the Fall 2025 and Spring 2026 semesters. Target organisms include Giardia, Cyclospora, …

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Investigating The Prevalence Of Human Papilloma Virus In A College-Aged Sample Group And Its Link To Sexual Behaviors And Attitudes, Gabriela Lewczyk, Eva Pollak, Phoebe Stryker, Samantha Hickey, Emily Moyer, Katelyn Ambrose, Alexander Knight, Rahjai Thomas, Adriana Burk, Paul E. Richardson Oct 2026

Investigating The Prevalence Of Human Papilloma Virus In A College-Aged Sample Group And Its Link To Sexual Behaviors And Attitudes, Gabriela Lewczyk, Eva Pollak, Phoebe Stryker, Samantha Hickey, Emily Moyer, Katelyn Ambrose, Alexander Knight, Rahjai Thomas, Adriana Burk, Paul E. Richardson

Journal of the South Carolina Academy of Science

Human Papilloma Virus (HPV) is the most common sexually transmitted infection (STI) in the United States, infecting up to 75% of sexually active individuals, with a prevalence rising significantly around age nineteen for oral and genital infections. Because the virus infects epithelial cells and is transmitted primarily through skin-to-skin contact, it is found mainly in the cervix, oral cavity, and on/within ones’ skin. While most of the 200+ HPV subtypes are benign and tend to self-clear within six months to two years, twelve of these strains are classified as high-risk oncogenic strains that drive malignant progression. Furthermore, HPV is linked …

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The Structure And Regulatory Mechanism Of The Emrb Rna Motif In Lactobacillus Acidophilus, Isabella J. Mezzenga, Brian M. Lee Oct 2026

The Structure And Regulatory Mechanism Of The Emrb Rna Motif In Lactobacillus Acidophilus, Isabella J. Mezzenga, Brian M. Lee

Journal of the South Carolina Academy of Science

Major facilitator superfamily (MFS) transporters aid bacteria in expelling toxic compounds such as antibiotics, bile acids, and other substances. Previous bioinformatic studies identified the emrB motif as a potential regulatory RNA element. In Lactobacillus, this RNA motif is generally found in the intergenic region upstream of an MFS transporter gene with homology to the emrB gene from Escherichia coli. Secondary structure predictions of the intergenic region were used to define the structural features of this RNA motif. The emrB motif comprises two hairpins, though inclusion of neighboring regions is predicted to stabilize alternative secondary structures. A potential rho independent terminator …

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Development Of A Molecular Screen For Community-Based Hookworm Detection, Emma Weissmeier, Ava Hurley, Jackson Greenwold-Claiborne, Morgan Deeringer, Paul E. Richardson Oct 2026

Development Of A Molecular Screen For Community-Based Hookworm Detection, Emma Weissmeier, Ava Hurley, Jackson Greenwold-Claiborne, Morgan Deeringer, Paul E. Richardson

Journal of the South Carolina Academy of Science

Hookworm disease, caused by Ancylostoma duodenale and Necator americanus, is a soil-transmitted infection affecting over 700 million people worldwide. Transmission occurs through direct skin contact with contaminated soil, leading to health consequences including iron-deficiency anemia, malnutrition, and long-term developmental impacts. The CCU Disease Hunters program developed a PCR-based environmental screen to detect hookworm DNA in soil samples before transmission reaches human or animal hosts. Initiated in response to a request from All 4 Paws Animal Rescue, this project established protocols for soil collection, DNA extraction, and molecular identification of hookworm using the cytochrome c oxidase (COI) and cytochrome b (COB) …

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Exploring The Dynamics Of Tilted, Truncated Accretion Disks, José L. Montés, Chris Fragile, Deepika Bollimpalli, Matthew Liska Oct 2026

Exploring The Dynamics Of Tilted, Truncated Accretion Disks, José L. Montés, Chris Fragile, Deepika Bollimpalli, Matthew Liska

Journal of the South Carolina Academy of Science

Tilted accretion disks are theoretically not uncommon in stellar mass black hole systems. The dynamics of tilted disks display interesting physical behaviors that could explain certain observational phenomena such as quasi-periodic oscillations. We present results of recent numerical simulations of tilted, truncated accretion disks around rotating black holes. Our simulations model systems composed of a thick inner torus surrounded by a thin outer disk and were run with the goal of investigating the behaviors of the torus because of the exchange of angular momentum between it and the outer disk. Multiple simulations produced surprising results, such as the potential tearing …

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From Classification To Segmentation: Evaluating Machine Learning Defect Localization And Inspector Performance In Manufacturing, Gavin Smithson, Dakota Fulp, William M. Jones, Sharmistha Chakrabarti Oct 2026

From Classification To Segmentation: Evaluating Machine Learning Defect Localization And Inspector Performance In Manufacturing, Gavin Smithson, Dakota Fulp, William M. Jones, Sharmistha Chakrabarti

Journal of the South Carolina Academy of Science

High-volume manufacturing at Los Alamos National Laboratory requires rigorous quality assurance; however, sustained manual inspection can be inconsistent, costly, and fatiguing. This paper presents the model-evaluation component of a larger human-in-the-loop artificial intelligence project for manufacturing anomaly detection. MicroSentryAI uses pretrained models to identify potential anomaly regions, while AnnoMate provides accessible tools for annotating, validating, and comparing those regions. The study emphasizes the distinction between classification, which determines whether a sample is anomalous, and segmentation, which identifies the location of an anomaly. Using Intersection over Union (IoU), precision, recall, and Euclidean distance between centroids, experiments with simulated mask errors demonstrated …

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Intersubjectivity, Collaboration, And The Possibilities Of Dialogic Analysis, Karen Ross, Meagan Call-Cummings Oct 2026

Intersubjectivity, Collaboration, And The Possibilities Of Dialogic Analysis, Karen Ross, Meagan Call-Cummings

The Qualitative Report

This article stems from a desire to counter monologic, or single-voiced, approaches to data analysis and to consider opportunities for a dialogic approach that offers opportunities to engage and discover nuance and complexity in the research process. Drawing on our own research experiences, we offer a discussion of three methods of dialogic analysis: Reconstructive Horizon Analysis (RHA), participatory analysis, and Interpersonal Process Recall (IPR). Locating each of these within a kind of spectrum of dialogism, we illustrate how different forms of dialogic analysis can create space for complexity, nuance, perspective-taking, and in the best case, collaborative, intersubjective meaning making. We …

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Inside A Multidisciplinary Grounded-Theory Project On Corruption In Ecuador: Navigating And Negotiating Challenges, Maria-Jose Rivera, Paúl Arias-Medina, Aracely Rojas-Lazo, Dolores Sucozhañay-Calle Oct 2026

Inside A Multidisciplinary Grounded-Theory Project On Corruption In Ecuador: Navigating And Negotiating Challenges, Maria-Jose Rivera, Paúl Arias-Medina, Aracely Rojas-Lazo, Dolores Sucozhañay-Calle

The Qualitative Report

Studying day-to-day corruption raises hurdles for qualitative teams that cut across methodological, emotional, and ethical domains. Rather than presenting substantive findings on corruption, this article reports a reflexive analysis of those hurdles as experienced by an eight-member, multidisciplinary research team conducting the qualitative grounded-theory phase of the CIRCLE project in Ecuador - a context where discussing corruption often triggers mistrust, discomfort, and political sensitivities. Drawing on 33 meeting minutes and eight researcher stance memos, we applied Braun and Clarke’s reflexive thematic analysis to team-generated documents to examine how challenges unfolded and were negotiated. We identified three interconnected domains of difficulty. …

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Exploring Striking Moments Through Reflexive Inquiry: Case Study Of Action Learning Conversations, Mette Vinther Larsen, Sheila Mcnamee Oct 2026

Exploring Striking Moments Through Reflexive Inquiry: Case Study Of Action Learning Conversations, Mette Vinther Larsen, Sheila Mcnamee

The Qualitative Report

This paper explores how executive managers reflexively inquire into striking moments, understood as unanticipated instances that unsettle taken-for-granted assumptions, through Action Learning Conversations (ALC). ALC is a structured six-step dialogical process used at a Danish executive MBA program. Grounded in a relational-constructionist stance, the study responds to earlier empirical work showing that reflexivity could not be planned through curricular design but depends instead on relational and reflexive inquiries around unanticipated and striking moments. Using a qualitative, semi-structured case study design, the first author, who taught in the program and generated the data, traces two purposively selected cases; (1) centered on …

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Cultivating Gen-Z As Cultural Heirs In The Indigenous Community Of Cireundeu, Sardin Sardin, Ade Romi Rosmia, Mohamad Hadi Ali Mutamam Oct 2026

Cultivating Gen-Z As Cultural Heirs In The Indigenous Community Of Cireundeu, Sardin Sardin, Ade Romi Rosmia, Mohamad Hadi Ali Mutamam

The Qualitative Report

How do Indigenous leaders teach digital-native youth to value centuries-old traditions? This six-month ethnographic study examined cultural transmission in Cireundeu, an Indigenous Sundanese community in West Java, Indonesia. Existing studies often address Indigenous education and digital youth culture separately, with limited attention to leaders’ perspectives. Conducted from June to November 2024, the study drew on participant observation, interviews with 25 community members, six focus group discussions, and digital artifact analysis. Reflexive thematic analysis identified three interconnected patterns. First, leaders fostered cultural learning through graduated ceremonial participation. Second, elders practiced leader-orchestrated digital bricolage by adapting Instagram, TikTok, and WhatsApp for cultural …

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Researching Readers And Writers: The Role Of Serendipity, Elizabeth L. Jaeger Oct 2026

Researching Readers And Writers: The Role Of Serendipity, Elizabeth L. Jaeger

The Qualitative Report

I trace here three case studies of readers and writers: third grade children participating in a Writing Workshop, fourth grade vulnerable readers in a tutoring setting, and adults with major mental illness interacting in a writers’ group. Specifically, I collected and analyzed data related to students extending a classroom practice called Class Meeting (during which they shared concerns and compliments) into the writing workshop context; expanding the focus of tutoring practice from children who struggled with comprehension of text to include those with English vocabulary and decoding issues; and changes when I moved from a participant in, to facilitator of, …

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From Epoché To Essence: A Methodological Chronicle Of Hybrid Phenomenological Data Analysis, Mulugeta Yayeh Worku Oct 2026

From Epoché To Essence: A Methodological Chronicle Of Hybrid Phenomenological Data Analysis, Mulugeta Yayeh Worku

The Qualitative Report

This article provides a personal and procedural account of the methodological journey undertaken for a doctoral study on the lived experiences of teacher educators practicing Social Reconstructionism in Ethiopian higher education. Navigating the complex terrain of phenomenological inquiry, the author details a Hybrid Phenomenological Model that integrates the procedural rigor of Clark Moustakas's descriptive method (e.g., horizonalization and imaginative variation) as a structural scaffold, with the interpretive attitude of hermeneutical phenomenology (Max van Manen, Martin Heidegger) as the guiding lens for meaning construction. The chronicle traces a five-phase data analysis process, from the initial challenge of epoché and immersion, through …

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