Digital Commons Network^™

It's Complicated: The Joy Of Writing, Jennifer Niesslein

Creative Nonfiction Magazine

No abstract provided.

Connecting The Dots, Brianna Snow

Creative Nonfiction Magazine

No abstract provided.

Engaging The Senses, Jonita Davis

Creative Nonfiction Magazine

No abstract provided.

The Missing Link To A Missing Limb, Catherine Musemeche

Creative Nonfiction Magazine

No abstract provided.

The View Through The Crack, Yelizaveta Renfro

Creative Nonfiction Magazine

No abstract provided.

Writing The Apple: Or, How To Write About Your Kids Withoug Messing Them Up (Too Much), Joel Oestreich

Creative Nonfiction Magazine

No abstract provided.

Dangerous [Language], Sara Hendery

Creative Nonfiction Magazine

No abstract provided.

The Walk Home, Judith Barrington

Creative Nonfiction Magazine

No abstract provided.

Clippings

Warren C. Cowen Papers

Various newspaper clippings.

A Scarring Experience: Pelvic Floor Rehabilitation As A Novel Palliative Approach In Colorectal Cancer Survivorship, Aryan Dowlatshahi, Leanne Jackson, Mary Garcia

Cancer Survivorship Research Retreat

This is a discussion of the novel approach of pelvic floor rehabilitation in its utility specifically for colorectal cancer survivorship which will be additionally presented at the MD Anderson Survivorship Research Retreat conference.

Economy Class, Shahnaz Habib

Creative Nonfiction Magazine

No abstract provided.

Alphabet For The First Year, Jeff Oaks

Creative Nonfiction Magazine

No abstract provided.

Stealth, Heather Osterman-Davis

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

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

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.

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

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

Faculty Senate Archives

No abstract provided.

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

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

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

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

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

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

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

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

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 …