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Articles 22351 - 22380 of 1111713
Full-Text Articles in Entire DC Network
The Braided Essay As Social Justice Action, Nicole Walker
The Braided Essay As Social Justice Action, Nicole Walker
Creative Nonfiction Magazine
No abstract provided.
Debriefing, Meredith Crandell
In Lieu Of Flowers, Jim Schneider
The Missing Link To A Missing Limb, Catherine Musemeche
The Missing Link To A Missing Limb, Catherine Musemeche
Creative Nonfiction Magazine
No abstract provided.
An Apprentice To The World, Adelheid Fischer
An Apprentice To The World, Adelheid Fischer
Creative Nonfiction Magazine
No abstract provided.
The Brain Is A Masterclass, Dave Madden
The Brain Is A Masterclass, Dave Madden
Creative Nonfiction Magazine
No abstract provided.
From The Editor: What's The Story?, Lee Gutkind
From The Editor: What's The Story?, Lee Gutkind
Creative Nonfiction Magazine
No abstract provided.
Alphabet For The First Year, Jeff Oaks
Alphabet For The First Year, Jeff Oaks
Creative Nonfiction Magazine
No abstract provided.
That Night: Fifty Years Later, Melissa Shepherd
That Night: Fifty Years Later, Melissa Shepherd
Creative Nonfiction Magazine
No abstract provided.
Integrating Maps In History Education: Systematic Review Of Digital Mapping Effectiveness In Elementary Schools, Nanda Dini Novayanti, Ganes Gunansyah, Nasution Nasution
Integrating Maps In History Education: Systematic Review Of Digital Mapping Effectiveness In Elementary Schools, Nanda Dini Novayanti, Ganes Gunansyah, Nasution Nasution
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
The increasing integration of digital technology in elementary education and the need to enhance students’ spatial and historical understanding have driven the exploration of digital mapping tools in history learning. This systematic literature review examines the effectiveness of digital mapping tools, particularly Google Maps and related technologies, in elementary school history education. The study synthesizes findings from 16 peer-reviewed articles published between 2020-2025, analyzing their impact on student engagement, comprehension, and learning outcomes. The review employed a systematic approach following PRISMA guidelines, with inclusion criteria focusing on digital mapping tools in elementary history education. Results indicate that digital maps significantly …
Fs Agenda 2026-02-18, Northern Illinois University
Fs Agenda 2026-02-18, Northern Illinois University
Faculty Senate Archives
No abstract provided.
A Possible Renaissance For Christian Higher Education, Derek Schuurman
A Possible Renaissance For Christian Higher Education, Derek Schuurman
University Faculty Publications and Creative Works
The early Greeks saw the essence of education as Paideia: the process of forming a whole person into an ideal citizen. They emphasized the formation of virtues like prudence, justice, fortitude and temperance in preparation for active citizenship. Later, in the Medieval era, the Christian tradition saw education as formation for the glory of God, adding Christian virtues of faith, hope and love along with character traits like humility, gratitude, generosity and chastity. But something shifted after the Enlightenment and Industrial Revolution. Knowledge became increasingly instrumental, valued for its practical application primarily as information needed to “get a job.” …
From Copper To Ashes: Violations Of The Right To A Healthy Environment And Health In Tsumeb, Namibia, Sarah Dávila
From Copper To Ashes: Violations Of The Right To A Healthy Environment And Health In Tsumeb, Namibia, Sarah Dávila
Fordham Environmental Law Review
The rights to a healthy environment and health are not new human rights to the African System for Human and Peoples’ Rights. In fact, they have been protected under the African Charter on Human and People’s Rights since 1981. However, outside of the established normative framework, a pressing issue arises in States where the extractive industry maintains a stronghold on the economy. The people of and around Tsumeb, Namibia, have been subjected to egregious human rights abuses and an environmental crisis. Their lives and environment have been historically and continuously destroyed due to the foreign-corporate extractive industry. The mining and …
Social Cognition Simulation With Large Language Model-Driven Agents, Mingxin Zhang, Jinxuan Wu, Rui Zhu, Yunlong Wang, Wenjuan Meng, Zhe Liu, Xu Li, Xiaolei Chen, Yuxuan Liang, Yi Zheng, Xiangyang Xue
Social Cognition Simulation With Large Language Model-Driven Agents, Mingxin Zhang, Jinxuan Wu, Rui Zhu, Yunlong Wang, Wenjuan Meng, Zhe Liu, Xu Li, Xiaolei Chen, Yuxuan Liang, Yi Zheng, Xiangyang Xue
Journal of System Simulation
Abstract: With the continuous evolution of the capabilities of generative LLMs, their application in social cognition simulation is demonstrating paradigm-shifting potential. Traditional social simulation methods predominantly rely on static rules and simplified behavioral models, making it difficult to capture the dynamic evolution and cultural complexity of human social behavior. LLM-driven agents, equipped with contextual understanding and natural language generation capabilities, are emerging as novel tools for modeling social cognitive mechanisms, enabling the simulation of complex sociopsychological processes such as identity construction, value judgment, and intentional reasoning. This paper briefly introduced the technical foundations of LLMs and highlighted their suitability for …
Research On Chain-Of-Thought Technology For Situational Awareness Based On Modular Reasoning, Hongyuan Ji, Duzheng Qing
Research On Chain-Of-Thought Technology For Situational Awareness Based On Modular Reasoning, Hongyuan Ji, Duzheng Qing
Journal of System Simulation
Abstract: To address issues such as insufficient intelligence of situational understanding in traditional simulation systems, a situational visual question answering dataset was constructed, and a modular reasoning framework was proposed. The SACoT was built, which, under a zero-shot setting, employed expert prompts to guide the model in task decomposition and multimodal information fusion, generating reasoning chains to enhance semantic cognition and interpretability and offering a scalable solution with low computation cost. Experimental results indicate that SACoT improves task allocation, enables models to focus on query-relevant image details, mitigates the fragmentation of chain-of-thought induced by multi-step reasoning, and reduces long-form …
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 …
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 …
Dairy And Food Science Student Newsletter, February 18, 2026, Department Of Dairy And Food Science
Dairy And Food Science Student Newsletter, February 18, 2026, Department Of Dairy And Food Science
Dairy and Food Science Student Newsletter
No abstract provided.
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 …