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Articles 35611 - 35640 of 1826543
Full-Text Articles in Entire DC Network
Simulation Of Robotic Arm Ball-Catching Strategy Based On Curriculum Rl Of Transformer, Ziyao Zhang, Yunfeng Ji
Simulation Of Robotic Arm Ball-Catching Strategy Based On Curriculum Rl Of Transformer, Ziyao Zhang, Yunfeng Ji
Journal of System Simulation
Abstract: Method integrating the PPO algorithm with Transformer network architecture is proposed, and curriculum learning strategy is introduced to solve the difficult training convergence and low efficiency of traditional RL methods in complex and dynamic high-degree-of-freedom tasks such as robotic arm ball catching. The Transformer is employed to effectively capture the complex high-dimensional dependency between the robotic arm's state space, ball trajectory, and environmental physical parameters. Curriculum learning progressively increases catching difficulty by designing training tasks from simple to complex objectives. The experimental results show this method increases the ball-catching success rate by over 60% compared to the traditional …
Research On Uav Target Tracking Algorithm For Simulation Scenarios, Xinyi Li, Zhenfei Wang, Han Wu
Research On Uav Target Tracking Algorithm For Simulation Scenarios, Xinyi Li, Zhenfei Wang, Han Wu
Journal of System Simulation
Abstract: To address the need for automatic UAV tracking of moving targets in simulated experiments, this paper proposed a long-term automatic tracking method based on an improved channel and spatial reliability-aware tracker (CSRT) algorithm. The target edge features were detected using the Laplacian of guided filter (LOGF) through guided filtering and then fused with the histogram of oriented gradient (HOG) and color names (CN) features to enhance the algorithm's discriminative ability for the target. To evaluate the target state, the paper used average peak correlation energy and perceptual hash Hamming distance. When the target was occluded, the paper employed YOLOv8 …
Distributed Optimization For Integrated Energy Based On Multi-Agent Reinforcement Learning, Caixia Tao, Naikun Chen, Fengyang Gao, Jiangang Zhang
Distributed Optimization For Integrated Energy Based On Multi-Agent Reinforcement Learning, Caixia Tao, Naikun Chen, Fengyang Gao, Jiangang Zhang
Journal of System Simulation
Abstract: To address the energy management and privacy preservation problems faced by the coordinated optimization of distributed integrated energy systems, a distributed coordinated optimization strategy based on the multi-agent proximal policy optimization algorithm was proposed. An energy management model was established under the MDP framework; the electrical and thermal heterogeneous energy characteristics were considered; a multi-region two-layer interaction mechanism was constructed. Under the framework of centralized training and decentralized execution, homomorphic encryption was utilized to avoid privacy leakage during the coordination process, while accurately quantifying individual contributions to mitigate the problem of variance explosion in multi-agent policy evaluation. In the …
Prediction Of Inflow Wind Field For Large-Scale Wind Turbines Based On Multimodal Hybrid Deep Learning, Jiheng Wang, Yang Hu, Ziqiu Song, Fang Fang, Jizhen Liu
Prediction Of Inflow Wind Field For Large-Scale Wind Turbines Based On Multimodal Hybrid Deep Learning, Jiheng Wang, Yang Hu, Ziqiu Song, Fang Fang, Jizhen Liu
Journal of System Simulation
Abstract: To address the demand for high-precision inflow wind field prediction in large-scale wind turbines, traditional CFD methods suffer from high computational costs and poor real-time applicability. This paper proposed a multimodal hybrid deep learning-based wind field prediction method. The proposed method took turbine operating parameters and far-range wind field images as inputs and generated short-range wind field images as outputs. By employing a U-Net-Transformer-GAN hybrid architecture, the model achieved multi-scale feature extraction, temporal dependency modeling, and highresolution wind field image generation. The vorticity transport equation and Kármán-Howarth turbulence statistics were incorporated as weak constraints to enhance physical consistency, while …
Llm-Driven Multi-Agent Social Network Simulation: Interdisciplinary Integration And Cutting-Edge Development, Jiting Li, Yi Sun, Yirong Wang, Yiqin Lin, Jun Jia, Gangsong Ding
Llm-Driven Multi-Agent Social Network Simulation: Interdisciplinary Integration And Cutting-Edge Development, Jiting Li, Yi Sun, Yirong Wang, Yiqin Lin, Jun Jia, Gangsong Ding
Journal of System Simulation
Abstract: The breakthrough of LLMs has provided powerful tools for social network research, advancing multi-agent social network simulation into a new era. This review systematically examined recent progress in LLM-driven multi-agent social network simulation research through a integrated perspective of multi-disciplines such as artificial intelligence, psychology, communication studies, and sociology. A three-tiered research system, which has gradually formed in this field and encompassed micro-level individual behaviors, meso-level interactive relations, and macro-level system emergence, was summarized. At the micro-level, research focuses on individual human behavior simulation, and numerous studies are dedicated to developing human-like agents with complex cognitive and affective architectures …
An Adaptive Robot Path Planning Based On Improved Rea* Algorithm, Ling Zhu, Jing Li, Zhaohui Zhang
An Adaptive Robot Path Planning Based On Improved Rea* Algorithm, Ling Zhu, Jing Li, Zhaohui Zhang
Journal of System Simulation
Abstract: In order to improve the computational efficiency and path smoothness in a robot's global path planning, an adaptive robot path planning strategy based on an improved unilateral rectangle expansion A*(REA*) algorithm was proposed. The robot's operational safety was ensured by setting a buffer around obstacles. A passable interval formed by unilateral rectangle expansion was used as the operation unit, and bidirectional alternating search was combined to enhance the path planning efficiency. Inspired by potential field theory, the evaluation function was optimized by introducing a vector form to achieve fast adaptive obstacle avoidance. A new path planning strategy was proposed …
Evolutionary Game-Based Analysis Of Responses To Hallucinations In Generative Artificial Intelligence, Qiang Yan, Qianyu Zhang, Na Wei
Evolutionary Game-Based Analysis Of Responses To Hallucinations In Generative Artificial Intelligence, Qiang Yan, Qianyu Zhang, Na Wei
Journal of System Simulation
Abstract: The accelerated deployment of generative artificial intelligence, particularly large language models, has amplified the social risks of hallucinations, posing systemic threats to the credibility of the information ecosystem, the effectiveness of users’ cognitive decision-making, and the governance security in the public domain. Research primarily focuses on hallucination mitigation mechanisms at the technical level or the design of regulatory frameworks at the policy level, lacking a systematic theoretical analysis of the evolutionary logic of strategic interactions among the “large language models, users, and regulators” under conditions of bounded rationality. By introducing evolutionary game theory into the field of generative artificial …
Intelligent Air Combat Decision-Making Method Based On Bigru And Priority Dynamic Sampling, Zhengkun Ding, Jiaqi Liu, Junzheng Xu, Yuezhu Xu, Xingmei Wang
Intelligent Air Combat Decision-Making Method Based On Bigru And Priority Dynamic Sampling, Zhengkun Ding, Jiaqi Liu, Junzheng Xu, Yuezhu Xu, Xingmei Wang
Journal of System Simulation
Abstract: Current multi-agent reinforcement learning algorithms suffer from low efficiency in utilizing experience data and difficulties in setting appropriate learning rates. To address these issues, this paper proposed a BiGRU multi-agent PPO with priority sampling and dynamic learning rate. The algorithm incorporated a BiGRU network to enhance the policy network's ability to model temporal information. A priority partial sampling mechanism was introduced to improve the utilization efficiency of high-value experience data. Additionally, an improved Adam optimizer with dynamic learning rate adjustment was employed to address the challenge of learning rate configuration. Simulation experiment results demonstrate that the algorithm significantly …
Knowledge-Enhanced Llm-Based Method For Regional Traffic Signal Control, Risheng Xu, Linyao Yang, Yuanqi Qin, Xiao Wang, Changyin Sun
Knowledge-Enhanced Llm-Based Method For Regional Traffic Signal Control, Risheng Xu, Linyao Yang, Yuanqi Qin, Xiao Wang, Changyin Sun
Journal of System Simulation
Abstract: Adaptive traffic signal control (ATSC) is crucial for alleviating regional traffic congestion, yet it faces severe challenges in real-time response to unexpected events and global coordination. The DRL method relies on pure data-driven approaches, suffering from core limitations such as poor generalization, weak interpretability, and a lack of guidance from emergency disposal knowledge, which makes them difficult to meet the demands of complex traffic scenarios. A control system that integrates knowledge-driven and data-optimized approaches was proposed. The GraphRAG was used to construct a dynamic traffic knowledge graph, providing LLMs with real-time updated historical emergency disposal experience and road …
Reforming The Work Environment: A Staffing Task Force Imperative, Sarah Delgado
Reforming The Work Environment: A Staffing Task Force Imperative, Sarah Delgado
Creating Healthy Work Environments (CHWE)
Purpose: Convened by national professional organizations, a task force representing diverse perspectives met over a 9-month period to address the nurse staffing crisis. Building on the foundational work of the Partners for Nurse Staffing Think Tank, the Nurse Staffing Task Force charge was to identify sustainable solutions to longstanding barriers to appropriate staffing.
Methods: The Task Force members represented a broad range of roles inclusive of direct care nurses, nurse scientists and health care leaders. Geographic diversity was addressed in the selection process which resulted in a team of 38 invited participants. The work was facilitated by two co-chairs, a …
Moving For Minutes! A Sustainable Self-Care Strategy In An Academic Workplace, Jan Michaelis, Ellen D'Errico
Moving For Minutes! A Sustainable Self-Care Strategy In An Academic Workplace, Jan Michaelis, Ellen D'Errico
Creating Healthy Work Environments (CHWE)
The “6+1” standards of a healthy work environment in an academic setting, are described by Saunders et al. (2021) and include skilled communication, true collaboration, effective decision-making, appropriate staffing, meaningful recognition, authentic leadership, and self-care (the “plus one” standard). However, achieving work-life balance for faculty and staff at the school of nursing, who work long hours, can be challenging, often leading to the neglect of regular exercise, a crucial element of personal health and wellness. To address this issue, a staff member initiated the “Moving for Minutes" program (M4M) in 2009, aimed at encouraging weekly physical activities such as walking, …
The Patentability Of Ethical Ai: A Spectrum, Rana Matared, Harut Minasian
The Patentability Of Ethical Ai: A Spectrum, Rana Matared, Harut Minasian
Chicago-Kent Journal of Intellectual Property
No abstract provided.
The U.S. Critical Minerals List: Between A Rock And A Hard Place, Wesley Peebles
The U.S. Critical Minerals List: Between A Rock And A Hard Place, Wesley Peebles
Fordham Environmental Law Review
Critical minerals are minerals found essential to economic and national security and vulnerable to supply chain disruptions. Congress and presidents from both political parties have actively promoted critical mineral production, offering up billions of dollars to secure mineral supply chains. The federal government has invested to increase domestic mineral production, grow global partnerships, and reinvigorate U.S. industry in an attempt to reduce the risk of supply disruptions for these valuable minerals. To identify which minerals are critical to the United States, Congress tasked the Secretary of the Interior, acting through the U.S. Geological Survey (USGS), to evaluate and identify a …
“The Needs Of The Many Outweigh The Needs Of The Few”: A Plan For A New Farm Bill That Promotes The Health And Welfare Of Humans And Nonhuman Animals, And Protects The Planet On Which We Live., John Lieberman
Fordham Environmental Law Review
The Farm Bill was created in 1933, with the passage of the Agricultural Adjustment Act. The Bill was part of President Franklin D. Roosevelt’s New Deal, designed to assist farmers struggling with low prices during the Great Depression and Dust Bowl era. Thus the era of the farm subsidy was born. Crafted in a different time, with technology, knowledge, science and an economy that today would be considered obsolete, the basic mechanisms, and financial support, have nevertheless lived on.
The myriad of problems that have arisen since that time within an agriculture industry that has flourished on the taxpayer dime …
The Ninth Chondroid Syringoma With Bone Formation: A Case Report, Mojan Deriss, Kelsey Ouyang, Parnian Alizadeh, Amir Qorbani, Voicu S. Ciobanu
The Ninth Chondroid Syringoma With Bone Formation: A Case Report, Mojan Deriss, Kelsey Ouyang, Parnian Alizadeh, Amir Qorbani, Voicu S. Ciobanu
Annual Research Symposium
This poster presents a rare case of chondroid syringoma with ossification, representing only the ninth reported instance of bone formation within this adnexal tumor. The report describes a slowly enlarging facial nodule in a 34-year-old male, detailing clinical presentation, surgical excision, and histopathologic findings. Microscopy revealed characteristic epithelial cords and tubules within a myxoid stroma, along with mature lamellar bone formation, confirming the diagnosis. The case expands the known morphologic spectrum of chondroid syringomas and highlights the importance of considering this entity in the differential diagnosis of benign facial masses, particularly when unusual features such as ossification are present.
Exploring Self-Doubt In Community College Computer Science: Evidence From Exploratory Factor Analysis, Trent W. Dawson
Exploring Self-Doubt In Community College Computer Science: Evidence From Exploratory Factor Analysis, Trent W. Dawson
Research & Publications
Community college (CC) students make up a growing portion of introductory computing courses, yet little is known about their attitudes going into early programming experiences. This pilot study explored CC students’ initial perceptions of readiness for introductory computing. Exploratory factor analysis revealed two initial dimensions: a higher-perceived-ability factor based on positively framed items and a lower-perceived-ability factor based on negatively framed items. The higher perceived ability factor showed little difference between students with and without programming experience, indicating that early optimism may limit distinctions on positively worded items. In contrast, the factor of lower perceived ability indicated evident differences between …
Organizational Approach To Collecting, Monitoring, Analyzing Workplace Violence Data And Providing Support To Staff Affected, Brandi C. Bosley, Amanda L. Schweng, Shanan K. Sims
Organizational Approach To Collecting, Monitoring, Analyzing Workplace Violence Data And Providing Support To Staff Affected, Brandi C. Bosley, Amanda L. Schweng, Shanan K. Sims
Creating Healthy Work Environments (CHWE)
Significance – Healthcare workers are five times more likely to experience workplace violence than other industries, and 73% all non-fatal workplace violence injuries resulting in missed days of work occur in healthcare settings (OSHA, 2021). WPV costs facilities an estimated $428.5 million nationwide (Van Des Bos et al., 2017). WPV is attributed to burnout, decreased employee morale, increased absenteeism, and increased staff turnover, negatively impacting patient care (Somani et al., 2021).
Background: The organization is a Level 1 Trauma hospital with 573 beds. The Workplace Violence Committee formed in 2018 in response to growing workplace violence incidents. The committee adopted …
The Effectiveness Of Rehabilitative Activities In Social Reintegration Of Ex-Parolees Into Guyanese Society, La-Toya Lucrisha Arthur-Tucker
The Effectiveness Of Rehabilitative Activities In Social Reintegration Of Ex-Parolees Into Guyanese Society, La-Toya Lucrisha Arthur-Tucker
Walden Dissertations and Doctoral Studies
Many parolees struggle with successful reintegration into society. Further research was needed to assess the benefits of parole for both parolees and former parolees in Guyana, the only English-speaking country in South America. The insights of ex-parolees may make the country’s parole process more meaningful to offenders’ rehabilitative experience and overall social reintegration. The purpose of this qualitative study was to understand the effectiveness of rehabilitative activities in the social reintegration of ex-parolees into Guyanese society. The risk–need–responsivity model, general strain theory, and social support theories provided a framework for the investigation. The focus was on ex-parolees who had been …
The Relative Importance Of Cultural Competence And Compassion Fatigue In Predicting Nurse Prescribing Self-Efficacy, Debarah Lane Jowett-Gordon
The Relative Importance Of Cultural Competence And Compassion Fatigue In Predicting Nurse Prescribing Self-Efficacy, Debarah Lane Jowett-Gordon
Walden Dissertations and Doctoral Studies
As a result of the growing diversity among citizens requiring medical care, there has been a substantial increase in immigrants globally and in the United States. In the U.S. healthcare system, nurse practitioners (NPs) have been facing increased cultural challenges. The purpose of this quantitative study was to determine the relative importance of cultural competence and compassion fatigue in predicting nursing prescribing self-efficacy. Cultural competence served as the theoretical framework, as it focuses on how NPs can effectively communicate with patients from diverse backgrounds by understanding and respecting cultural differences, thereby building trust, improving patient outcomes, and providing quality healthcare. …
Student Senate Meeting Minutes February 18, 2026, Student Senate-Winona State University
Student Senate Meeting Minutes February 18, 2026, Student Senate-Winona State University
Student Senate Meeting Minutes
This document is the official Winona State University Student Senate Minutes for February 18, 2026.
2026 Hillsborough County 4-H Presents, Carrie A. Finke
2026 Hillsborough County 4-H Presents, Carrie A. Finke
UNH Cooperative Extension
Hillsborough County 4-H is excited to once again bring you Hillsborough County 4-H Presents!/Activities Day, Saturday April 18th, 2026 at Crotched Mountain School 1 Verney Drive Greenfield, NH. The Event will begin with registrations starting at 12:30pm with various categories of events taking place starting at 1pm.
What is 4-H Presents? 4-H Presents is an opportunity for 4-H youth to demonstrate their presentation skills and subject matter knowledge. Every 4-H member is encouraged to give a presentation each year. A 4-H presentation can be a demonstration, action exhibit or public speech. Through presentations, youth learn to research a …
Utah's Value-Added Food Processing Options, Karin E. Allen, Kynda R. Curtis, Makaylie Langford
Utah's Value-Added Food Processing Options, Karin E. Allen, Kynda R. Curtis, Makaylie Langford
All Current Publications
This fact sheet provides an overview of the benefits of producing and marketing value-added foods and outlines key considerations for new ventures. It also details the two primary programs available to smaller-scale processing in Utah—the Cottage Food Program and the Homemade Food Act—assisting producers in evaluating their products, markets, and resources to choose the best path forward.
Confinement And Consent: A Comparative Analysis Of Sexual Abuse In Finnish And U.S. Prisons, Madison A. Greico
Confinement And Consent: A Comparative Analysis Of Sexual Abuse In Finnish And U.S. Prisons, Madison A. Greico
Binghamton University Undergraduate Journal
The Bangkok Rules and The Basic Principles for The Treatment of Prisoners are a specific outline of protections and rights for individuals( Bangkok specifically about women) within prisons adopted by the United Nations compromising states. While The United States is a leader in the United Nations and adopted this set of rules, their failures of commitment are extremely apparent. Every year, thousands of prison rapes occur behind bars in New York alone by the very guards meant to protect them. In Finland, another United Nations member, however, has virtually no record of sexual abuse within their prisons. In investigation of …
A Semantic Knowledge-Enhanced Assessment Method For Spectrum Effectiveness Of Low Earth Orbit Constellations, Yiqing Liu, Qiuyang Zhang, Chunyu Liu, Yao Xue, Zhiwei Wei, Yan Feng
A Semantic Knowledge-Enhanced Assessment Method For Spectrum Effectiveness Of Low Earth Orbit Constellations, Yiqing Liu, Qiuyang Zhang, Chunyu Liu, Yao Xue, Zhiwei Wei, Yan Feng
Journal of System Simulation
Abstract: In order to scientifically assess the spectrum effectiveness of low earth orbit constellations, the problems of insufficient adaptability of the traditional assessment framework and inaccurate estimation of KPIs under sparse data conditions were solved, a semantic knowledge-enhanced assessment method for spectrum effectiveness of low earth orbit constellations was proposed. A comprehensive multi-level, all band, and multi-dimensional spectrum effectiveness assessment framework covering link level, system level, geographical level, and service application level was constructed. A KPI intelligent prediction agent model integrating semantic knowledge and machine learning was proposed to quantify text-like design parameters using SentenceTransformer, so as to rapidly …
Simulation Method For Multi-Crew Construction Processes Based On Large Language Model-Powered Agent, Yifan Wang, Bin Yang, Congjun Wang
Simulation Method For Multi-Crew Construction Processes Based On Large Language Model-Powered Agent, Yifan Wang, Bin Yang, Congjun Wang
Journal of System Simulation
Abstract: Traditional construction simulation methods typically rely on predefined rules or static scheduling mechanisms, making it difficult to simulate interactive decision-making under complex constraints by dynamically adapting multi-crew construction scenarios. As a result, workforce idleness caused by process dependencies and spatial occupation fails to be solved. A simulation method for multicrew construction processes based on a LLM-powered agent was proposed. The distributed crew agents endowed with construction scenario understanding and reasoning capabilities were constructed, as well as a centralized project manager agent. A “single-manager and multiple-crew” decision-making mechanism for multi-agent interaction in construction was designed. Autonomous decision-making and coordination mechanism …
The Lumberjack, February 18, 2026
The Lumberjack, February 18, 2026
Cal Poly Humboldt's Student Newspaper
The student newspaper of Humboldt State University.
A Civilization’S Soul : Positioning Architectural Works In The Argument For Greater Restrictions On Ai Training, Alexandria B. Noble
A Civilization’S Soul : Positioning Architectural Works In The Argument For Greater Restrictions On Ai Training, Alexandria B. Noble
Chicago-Kent Journal of Intellectual Property
No abstract provided.
Algorithmic Chopin—Musical Authorship In The Age Of Artificial Intelligence, Eyal Brook
Algorithmic Chopin—Musical Authorship In The Age Of Artificial Intelligence, Eyal Brook
Chicago-Kent Journal of Intellectual Property
No abstract provided.
Integrated Development Environment For Digital Test Applications Based On Cloud-Edge-End Architecture, Wenguang Yu, Qun Li, Hongjie Dang, Hao Chen, Ping Yang
Integrated Development Environment For Digital Test Applications Based On Cloud-Edge-End Architecture, Wenguang Yu, Qun Li, Hongjie Dang, Hao Chen, Ping Yang
Journal of System Simulation
Abstract: Digital test applications need to be constructed using the unified digital test development tool. After analyzing the features of digital test applications such as large-sample autonomous run, high computational efficiency requirement, and diverse task scenarios, this paper proposes the integrated development environment (IDE) for digital test applications based on cloud-edge-end architecture. The layered expandable architecture, the hybrid integration framework of multi-source heterogeneous models, and the cloud-edge-end collaborative deployment architecture are designed for the IDE of digital test applications. The IDE supports the rapid development, integration, and execution of digital test models and enables development of digital test applications on …