Digital Commons Network^™

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 …

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

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

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

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 …

Meeting Minutes 02-18-2026, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.

Investigating The Role Of Type I Interferon Signaling On Muscle Disease Using Mouse Models, Rita Spathis, Sabrina Narvesen, Deeva Robles Kuriplach, Karen Huang, Teja Sundar, Elizabeth Bagley, Joanna E. Parkes, Xinyu Jia, Nandhana Sudhan, Alfredo Guzman, Kanneboyina Nagaraju, Melissa Morales

Pharmacy Faculty Scholarship

Objective: Dysregulated type I interferon (IFN) signaling contributes to autoimmune myositis pathogenesis. We investigated the therapeutic effects of JAK inhibitors in two mouse models. We also examined how type I IFNs affect muscle vasculature. Methods: Myositis was induced in MHC class I transgenic (HT) female mice at day 21. Mice were randomized into four groups (n=10-11/group): baricitinib (10 mg/kg), tofacitinib (20 mg/kg), vehicle, and healthy controls. Outcomes included survival, weight, muscle strength, histopathology, and IFN stimulated gene expression. To model IFNβ overexpression, C57BL/6 mice received AAV9-tMCK-IFNβ and were treated with vehicle or tofacitinib (40 mg/kg/day) for 10 weeks (n=8-13/group). Results: …

Collateral Damage: Parental Incarceration As Family Punishment, Hatim M. Husainy

Binghamton University Undergraduate Journal

The United States stands alone among UN members in refusing to ratify the Convention on the Rights of the Child. That absence reflects a deeper failure: the American legal system continues to allow parental incarceration to inflict punishment on children who have committed no crime. This paper explores how the structure of U.S. mass incarceration—especially within Black and Native American communities—conflicts with both domestic legal ideals and international human rights standards. It calls for legal and policy reform that recognizes families as indivisible social units and restores justice to those most affected by incarceration’s collateral damage.

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

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, …

Gli Weekly, February 18, 2026, Franke Global Leadership Initiative

GLI Weekly

Advising Information -- Beyond the Classroom Experience Planning -- Spring Study Abroad Priority Deadline -- We're recruiting a VISTA for the Franke GLI -- Graduating Senior Corner -- Flathead Biological Station Summer '26 Courses: Application Now Open -- Bee Positive Missoula -- Rooted: Connect with Nature -- Open Aid Alliance -- VolunteerUM -- Can't Drink Salt Water, by Kendra Mylnechuk Potter -- Future Fit Check -- Black Solidarity Summit -- Bear Necessities, Is it your first time on Earth? Us, too! -- UM Opera & Symphony: Mozart's "The Marriage of Figaro" -- Symphonic Wind Ensemble & University Concert Band Present …

Masthead, Chicago-Kent Journal Of Intellectual Property

Chicago-Kent Journal of Intellectual Property

No abstract provided.

The Patentability Of Ethical Ai: A Spectrum, Rana Matared, Harut Minasian

Chicago-Kent Journal of Intellectual Property

No abstract provided.

The Student Movement Volume 110 Issue 14: Stars Shining Bright, Addison Randall, Corinna Bevier, Megan Constantine, Isa Demoraes, Joey Carrion, Maya Thomas, Aiko J. Ayala Rios

The Student Movement V. 110 (2025-2026)

ARTS & ENTERTAINMENT

Concern Grows About Continuing Choir Program, Replacing Stephen Zork's Role, Addison Randall

Sunday Music Series at the Howard: Carla Trynchuk & Elena Braslavsky, Addison Randall

A Bad Faith Review of the New Muppet Show, Corinna Bevier

HUMANS

Promoting Mental Health at AU: A Look into The AU Active Minds Club, Megan Constantine.

Olive Oil, Oranges, and RyanAir: A Reflection on My Semester in Spain, Addison Randall

NEWS

AU Theater Wing Presents Shakespeare's Much Ado About Nothing, Isa DeMoraes

Harvard Professor Returns to Andrews University for Black History Month, Joey Carrion

IDEAS

Adventist Political Thought: On Republican Government, …

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 …

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 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.

Health Literacy And A1c: Evaluating Glycemic Control In Patients With Type 2 Diabetes, Margaret Hickey

ETD Collection

More than 38 million Americans have diabetes, a chronic illness requiring daily self-management. This challenge is further complicated when patients lack health literacy skills, yet 36% of U.S. adults function at or below basic health literacy. Low health literacy and diabetes contribute to poor health outcomes, disproportionately affecting vulnerable populations. This quasi-experimental, descriptive, correlational study examined the impact of health literacy on A1C awareness, glycemic control, and diabetes knowledge in adults with type 2 diabetes, and evaluated a teaching intervention that used visual aids teach-back. Participants with type 2 diabetes (ages 18+, A1C > 7%) were recruited from an outpatient endocrinology …

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 …

Symposium Puts Drones At The Center Of Crisis Response, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – Drones are being used for more than package delivery and simple fun. In fact, they are making a big impact as a helpful tool in disaster recovery and saving lives.

Willie Morris Award Winners Plumb The South's Many Realities, Staff Report

University of Mississippi News

OXFORD, Miss. – The story of a 12-year boy who loses a leg and helps his community face issues of faith, loss and guilt, along with a sweeping history of one of the nation's most prominent African American churches highlight this year's Willie Morris Awards for Southern Writing.