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Articles 35221 - 35250 of 1825365
Full-Text Articles in Entire DC Network
Economy Class, Shahnaz Habib
Alphabet For The First Year, Jeff Oaks
Alphabet For The First Year, Jeff Oaks
Creative Nonfiction Magazine
No abstract provided.
Stealth, Heather Osterman-Davis
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 …
Factors Affecting Learner Satisfaction With Education Services Of Community Learning Center (Clc), Saraswati S, Setya Raharja, Aldi Rinaldi
Factors Affecting Learner Satisfaction With Education Services Of Community Learning Center (Clc), Saraswati S, Setya Raharja, Aldi Rinaldi
Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan
Learner satisfaction is a key indicator of educational service quality, particularly in nonformal education settings that emphasize flexibility and learner-centered approaches. This study aims to analyze factors influencing learner satisfaction with educational services at Community Learning Centers (Pusat Kegiatan Belajar Masyarakat/PKBM) in Sleman Regency, Indonesia. A qualitative approach was employed through in-depth interviews and observations involving 18 informants, including PKBM heads, managers, tutors, and learners across three PKBMs with different accreditation levels. Data were analyzed thematically using the SERVQUAL framework adapted to nonformal education. The findings indicate that learning relevance and tutor empathy are the most dominant internal factors shaping …
News Report
Warren C. Cowen Papers
Children's Progress and News Report featuring pictures and reports from W.I. Cook Memorial Hospital Center for Children.
Newsletter
Warren C. Cowen Papers
Newsletter by The Spire, on Broadway Baptist Church, featuring a program for events held by the church and church news.
Amorphous Form Of Difamilast And Processes For Preparation Thereof, Prashanth Venukathala, Prashanth Venukathala Mr.
Amorphous Form Of Difamilast And Processes For Preparation Thereof, Prashanth Venukathala, Prashanth Venukathala Mr.
Defensive Publications Series
The present invention relates to an amorphous form of Difamilast and, more particularly, to a process for preparing amorphous Difamilast having improved physicochemical properties compared to its crystalline counterpart.
Novel Crystalline Forms Of 3-[3-(3,5-Dimethyl-1h-Pyrazol-4-Yl)Propoxy]-4-Fluorobenzoic Acid Hydrochloride And Process For Preparation Thereof, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kammari Balraju, Garai Abhijit Msn Laboratories Private Limited, R&D Center Plot No. 12, Phase-Iv, Sy No. 119 To 140, 258, 275 To 280, Ida, Pashamylaram (Vil), Patancheru (Mdl), Sangareddy (Dist), Telangana, India -502307
Novel Crystalline Forms Of 3-[3-(3,5-Dimethyl-1h-Pyrazol-4-Yl)Propoxy]-4-Fluorobenzoic Acid Hydrochloride And Process For Preparation Thereof, Srinivasan Thirumalai Rajan, Sagyam Rajeshwar Reddy, Kammari Balraju, Garai Abhijit Msn Laboratories Private Limited, R&D Center Plot No. 12, Phase-Iv, Sy No. 119 To 140, 258, 275 To 280, Ida, Pashamylaram (Vil), Patancheru (Mdl), Sangareddy (Dist), Telangana, India -502307
Defensive Publications Series
Abstract
Title: Novel crystalline Forms of 3-[3-(3,5-dimethyl-1H-pyrazol-4-yl)propoxy]-4-fluorobenzoic acid hydrochloride and process for preparation thereof
The present invention relates to novel crystalline Forms of 3-[3-(3,5-dimethyl-1H-pyrazol-4-yl)propoxy]-4-fluorobenzoic acid hydrochloride and process for preparation thereof .
Novel Crystalline Forms Of 3-[3-(3,5-Dimethyl-1h-Pyrazol-4-Yl)Propoxy]-4-Fluorobenzoic Acid Hydrochloride And Process For Preparation Thereof
Defensive Publications Series
Title: Novel crystalline Forms of 3-[3-(3,5-dimethyl-1H-pyrazol-4-yl)propoxy]-4-fluorobenzoic acid hydrochloride and process for preparation thereof
The present invention relates to novel crystalline Forms of 3-[3-(3,5-dimethyl-1H-pyrazol-4-yl)propoxy]-4-fluorobenzoic acid hydrochloride and process for preparation thereof .
Formula-1a
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.” …
Gnsi Decision Brief: Intelligence, Technology, And The Future Of The American Republic, Jeffrey P. Rogg
Gnsi Decision Brief: Intelligence, Technology, And The Future Of The American Republic, Jeffrey P. Rogg
GNSI Decision Briefs
Technology has always shaped intelligence but never has the relationship between the two been as consequential as it is today. Emerging technology is transforming the four “core missions” of intelligence—collection, analysis, covert action, and counterintelligence. The intelligence organizations that traditionally conduct these missions are trying to keep up with the pace of transformation, including the role of non-state actors, especially private corporations, in introducing disruptive technology and tradecraft to intelligence activities. It is not just intelligence that is changing in response to technology. States and societies must adapt to the new intelligence environment as well. This is particularly true of …
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 …
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 …