Digital Commons Network^™

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

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 …

Copyright Dilution Under Constitutional Scrutiny, Edward Lee

Chicago-Kent Journal of Intellectual Property

No abstract provided.

Unfair Learning: Genai Exceptionalism And Copyright Law, David Atkinson

Chicago-Kent Journal of Intellectual Property

No abstract provided.

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

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

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 …

Research On System And Application Framework Of Tactical Wargaming Simulation Driven By Ai4s, Dayong Liu, Qisheng Guo, Zhiming Dong, Xuehuan Qiu, Zhuoli Liu

Journal of System Simulation

Abstract: Tactical wargaming simulation, as a crucial tool for combat analysis, simulation training, and equipment demonstration and test, has become a significant means for generating combat effectiveness. Integrating AI into simulation not only enhances simulation efficiency but also diminishes reliance on humans. To assist professionals engaged in tactical wargaming simulation in mastering AI application methods, fostering a systematic mindset, and understanding evolving trends, this paper provided a concise overview of the principles behind AI for science (AI4S). Subsequently, it conducted an analysis of AI4S's application effectiveness in tactical wargaming simulation, established an AI4S-driven wargaming simulation system, and elucidated its composition, …

Knowledge Closed-Loop Driving-Based Intelligent Game Confrontation Simulation, Quan Liu, Yu Wang, Linyue Liu, Hao Chen, Jian Huang

Journal of System Simulation

Abstract: For human-machine intelligence integration and collaborative intelligence enhancement, a “knowledge-model-data-knowledge” closed-loop paradigm for combat simulation is proposed to guide the design of a DRL-based game confrontation simulation architecture. By building a combat priori knowledge-guided DRL agent model, mining and analyzing the time series data of agent interactions generated during simulations, and extracting combat posterior knowledge that expands the cognition boundaries of commanders, the knowledge closed-loop driving mechanism for intelligent combat simulations is achieved. The experimental results indicate that the proposed mechanism can effectively endow the combat simulation system with intelligence growth capabilities, providing valuable reference for the deepening …

Enhancing The Professional Well-Being Of Us Nurses Through Healthy Nutrition, Emily Daly Matthews, Emma Kurnat-Thoma

Creating Healthy Work Environments (CHWE)

Poor diet is the leading cause of mortality in the U.S. due to the direct relationship with diet-related chronic diseases including cardiovascular disease (CVD) and type 2 diabetes (T2D) which disproportionally affects underserved communities and exacerbates U.S. health disparities. ^1,2,3 The U.S greatly needs effective, evidence-based policy solutions to significantly improve nutrition and foster an equitable and sustainable food system to improve health and reduce diet related chronic disease.⁴ Approximately half of nurses in the United States have poor diet according to a 2018 systematic review.⁵ Healthy nutrition policy solutions should be implemented in the nursing workplace to …

Optimizing Traffic Signal Timings Using Real Time Data Analytics, Hamad Abdulla Binsultan

Theses

City traffic jams have become a major challenge for contemporary cities, causing delays, increased fuel consumption, and other environmental impacts. Conventional traffic signal controlling systems usually depend on fixed or preset signal plans that are incompetent to adjust themselves with changing traffic conditions. Traffic signal timings are optimized across the intersection health of the system by processing real-time data analytics. Through real-time data analytics, traffic flow efficiency is improved while waiting time at signalized intersections is reduced. Using traffic real-time data like vehicle counts, vehicle types, time of day and day of the week to see howtraffic behaves under different …

Resource-Efficient Continuous Learning Framework For Edge Real-Time Video Analytics, Shuxia Wu, Junjie Zhang, Delong Chen, Zheyi Chen

Journal of System Simulation

Abstract: By deploying lightweight models at the network edge, edge systems can provide services of real-time video analytics. However, due to the data drift caused by the discrepancy between model training and actual deployment, it is challenging to construct lightweight models that match real-world environments. To address this challenge, a resource-efficient continuous learning framework for edge real-time video analytics (CL4VA) was proposed. A region of interest-granularity predictor for accuracy degradation was introduced to efficiently select key samples from real-time video streams. A two-layer mixed sample pool was constructed to adaptively trigger the model's continuous learning and avoid the issue of …

Reinforcement Learning Based Method For Uav Team Orienteering Optimization Under Multi-Constraint Condition, Can Yang, Kai Chen, Feng Zhu

Journal of System Simulation

Abstract: Traditional optimization methods struggle with efficiency, while reinforcement learning approaches often yield low solution quality and high training costs. In response, this paper proposes an attention mechanism-based reinforcement learning method. A dynamic attention strategy network with multi-information fusion is designed to improve solution quality. A visibility-graph approach is employed to simplify threat zone constraints and speed up convergence, and a decoding sequence reordering mechanism is introduced for further performance optimization of the solution. The simulation results show that the method generates high-quality solutions within milliseconds, achieving total rewards that approach or even surpass those obtained by traditional solvers …

Strike Strategy Planning Method Of Unmanned Ground Vehicles Based On Improved Ppo Algorithm, Bingkun Wang, Yue Wang, Mei Yang, Pengnian Zhang, Bohao Fan, Jie Tang

Journal of System Simulation

Abstract: An improved PPO algorithm based on the hybrid action space and gated recurrent unit (GRU) is proposed to address the limitations of predefined strike rules in maximizing the hitting accuracy of unmanned ground vehicles and the difficult coupling and optimization of continuous motion planning and discrete strike decision-making. The environmental model and target model are built for the process of unmanned ground vehicles' strike missions, coupled with a three-layer model for unmanned ground vehicles that fuses kinematic constraints, situational awareness, and dynamic decision-making. Two distinct policy networks are employed, including the continuous motion planning network for path planning, and …

Intelligent Decision-Making Method In Imbalanced Air Combat Based On Asymmetric Self-Play, Wei Zheng, Jiahao Tang, Xiaoping Xiong, Xin Fan

Journal of System Simulation

Abstract: To solve the problem of strategy convergence caused by role homogenization in traditional self-play for imbalanced air combat, an intelligent decision-making method based on asymmetric selfplay was proposed. This method decoupled tactics from control by employing a hierarchical reinforcement learning framework and designed differentiated reward functions for advantaged and disadvantaged sides. Bidirectional independent policy pools were constructed to promote the co-evolution of strategies. The proximal policy optimization algorithm was utilized to train the model. Experiments in 1v1 weapon-imbalanced and 2v1 numerically-imbalanced scenarios demonstrate that compared to symmetric self-play, the proposed method increases the kill rate of the advantaged …

Agent-Based Pathfinding Method For Indoor Fire Emergency Evacuation, Ao Tian, Jianqin Zhang, Zheng Wen, Chaonan Hu, Hong Zhao, Bo Shen

Journal of System Simulation

Abstract: To improve emergency evacuation efficiency and reduce casualties in dynamic fire scenarios, a real-time path re-planning method based on agents and dynamic A* algorithm framework is proposed. The behavior and actions of the agent is modeled. A reward function is designed, and an agent-based evacuation framework is constructed. Based on fire simulation data, a dynamic cost network involving parameters such as thermal radiation, smoke visibility, and CO concentration is constructed to achieve spatiotemporally continuous modeling of fire environments. By optimizing the composite cost function through dynamic weight allocation, combined with an improved heuristic function and dynamic search mechanism, local …

Staff Education To Improve Provider Knowledge In Addressing Sdoh-Related Barriers Affecting Medication Adherence, Andrea Latimore

Walden Dissertations and Doctoral Studies

This Doctoral of Nursing Practice (DNP) project focused on improving provider knowledge in addressing social determinants of health (SDOH) that contribute to medication nonadherence. There is a gap in provider knowledge in addressing SDOH-related barriers that contributes to poor health outcomes. Increasing provider awareness of SDOH improves patient outcomes. The practice-focused question guiding this doctoral project asked whether an educational module on SDOH improved provider knowledge in addressing SDOH-related barriers to medication adherence among adult patients with chronic illnesses. The program consisted of a pretest, an educational module delivered via a PowerPoint presentation, and a posttest. A total of 20 …

Ethical Decision-Making And Modification Of Service Delivery: Social Workers In Connecticut During Covid, Marie Elana Hollingsworth

Walden Dissertations and Doctoral Studies

Social work professionals often experience demanding and intense situations while facing organizational restructuring during crisis situations. The purpose of this generic qualitative study was to explore the viewpoints of frontline social workers regarding their ethical decision-making processes in response to the mandatory modifications of the service delivery protocol during the COVID-19 pandemic. Enck’s biomedical and ethical decision-making framework grounded the study. Data were collected from semi-structured interviews with 10 frontline social workers in Connecticut who had been employed with a social service agency for at least 3 years, but no more than ten. Findings from coding and thematic analysis yielded …

Symmetric Orthogonalization And Probabilistic Weights In Resource Quantification, Gökhan Torun

Turkish Journal of Physics

Transforming nonorthogonal bases into orthogonal ones often compromises essential properties or physical meaning in quantum systems. Here, we demonstrate that Löwdin symmetric orthogonalization (LSO) outperforms the widely used Gram–Schmidt orthogonalization (GSO) in characterizing and quantifying quantum resources, with particular emphasis on coherence and superposition. We employ LSO both to construct an orthogonal basis from a nonorthogonal one and to obtain a nonorthogonal basis from an orthogonal set, thereby mitigating ambiguity related to the basis choice in defining quantum coherence. Unlike GSO, which depends on the ordering of input states, LSO applies a symmetric transformation that treats all vectors equally and …

Optical Textures Of A Uniform Liquid Crystal Lattice: Monte Carlo Simulations With Newton Colors And Mueller Matrix Analysis, Yakup Emül

Turkish Journal of Physics

The optical textures of a uniform liquid crystal (LC) molecule lattice structure were explored through Monte Carlo (MC) simulations, combined with Mueller matrix (MM) formalism and Newton’s color theory. These simulations utilized a Lebwohl-Lasher (LL) type interacting LC lattice under periodic boundary conditions, generating ensemble-averaged configurations at two temperature regimes (kBT = 0.9 and 1.2), corresponding respectively to nematic and isotropic states. These configurations were then incorporated into the MM framework to evaluate the polarization states of transmitted light. To visually interpret the resulting interference phenomena, we propose a new visualization method based on a modern interpretation of Newton’s color …

Teaching Undergraduate Human Rights Research Through The Arts, Humanities, And Social Sciences, Alexandra Moore

Binghamton University Undergraduate Journal

A note from guest editor, Alexandra Moore.

Strategies To Reduce Turnover And Retain Substance Abuse Treatment Center Counseling Staff, Hilary Harris

Walden Dissertations and Doctoral Studies

Many outpatient substance use treatment centers struggle with retention and recruitment of counseling staff. Without sufficient staff, substance use outpatient treatment centers are unable to provide services to patients who need such support, and patients often seek care in places like the emergency department, which creates problems for the healthcare system, such as overcrowding. The purpose of this research was to identify strategies to increase retention and improve recruiting effectiveness for counseling staff at outpatient substance use treatment centers. The conceptual framework of plan, recruit, retain underpinned this integrative review. The review question centered on the best strategies to reduce …

Lyari: A War Unseen, Sammi Deen

MSJ Capstone Projects

This capstone explores the conflict in Lyari Karachi and its enduring aftermath on the locals. It examines the lived experiences of conflict victims, their families and the profound psychological traumas resulting from prolonged violence. The study highlights how the conflict continue to shape everyday life in Lyari.

My capstone provides overview of the Lyari conflict, followed by an in-depth analysis of its social and human consequences. It documents the impacts on locals’ communities, particularly victims’ families, and illustrates how the conflict not only devastated lives but also contributed to the spread of drug abuse, lawlessness, and a culture of unaccountability, …

Protecting ‘Punks’: The Shortcomings Of The Prison Rape Elimination Act, Rachel Goldsmith

Binghamton University Undergraduate Journal

Prisoner-on-prisoner sexual abuse is widespread in US male prisons, with inmates “turning each other out” by sexually assaulting each other. While the Prison Rape Elimination Act (PREA) received unanimous support in Congress in 2003, motivated by the Human Rights Watch Report “No Escape: Male Rape in Prisons,” scholars argue that the PREA fails to protect prisoners from prison rape: for example, its standards may be ineffective or criminalize consensual sex between prisoners. This essay will examine the shortcomings of the PREA, drawing on current legal scholarship, and propose solutions to enhance the law's effectiveness in protecting prisoners. The US government …

2026-02-18 Is Ai Inescapable In Higher Education?, Maddie Rodriguez

The Spectator Online

No abstract provided.

2026-02-18 Su Student Coalition Demands Regarding Immigration Authorities, Spectator Editorial Board

The Spectator Online

No abstract provided.

Model Free Sliding Mode Control For Uavs, Aashrita Mandalapu

Theses

Sliding Mode Control (SMC) is a robust and adaptable control strategy recognized for its ability to withstand uncertainties, disturbances, and parameter variations. Although the straightforward implementation of SMC along with its insensitivity to modeling inaccuracies make it effective for a wide range of applications, it still relies heavily on an accurate system model. In dynamic environments where system characteristics vary over time, a model-independent SMC framework becomes necessary. So, a Model-Free Sliding Mode Control (MFSMC) approach is proposed as a compelling solution for complex nonlinear systems where deriving an accurate model is difficult. In contrast to conventional SMC approach, MFSMC …

Comprehensive Review Of Lithium Extraction Processes With Economic And Environmental Analysis, Shayan Abrishami, Maryam Gonbadi, Yasaman Boroumand, Mahsa Golmohammadi, Mehdi Narimani, Amin Sarmadi, Chase Matthews, Humberto Estay, Mehdi Khiadani, Amir Razmjou

Research outputs 2022 to 2026

The growing need for lithium, primarily driven by the expanding electric car market and increasing energy storage requirements, has created a significant demand for sustainable and efficient lithium extraction techniques. This comprehensive review examines the current state and prospects of lithium extraction technologies from both hard-rock and brine sources, offering an enviro-economic perspective on various production methods. While several reviews have attempted to cover lithium extraction in various aspects, our work specifically focuses on the processes of lithium extraction from different sources. We systematically evaluate traditional hard-rock extraction processes, including sulfating, alkali, chlorination, and carbonizing methods, detailing their mechanisms, efficiencies, …

Risk Management Strategies For Project Efficiency, Paulisa Janel Scarlett

Walden Dissertations and Doctoral Studies

Ineffective risk management strategies negatively impact organizational leaders due to potential project failures, financial losses, and diminished stakeholder trust. Grounded in general systems theory, this qualitative pragmatic inquiry was to explore senior project managers’ risk management strategies for enhancing project outcomes, efficiency, and profitability. Nine senior project managers from construction, software development, marketing, mechanical engineering, and automotive manufacturing, all overseeing complex, high-risk projects, participated in the study. Data were collected through semistructured interviews, organizational reports, and project documents. Thematic analysis, using Braun and Clarke’s six-step process, was employed to identify patterns aligned with the research questions. Five major themes emerged: …

Development And Diffusion Of The Social Capital Index (Soci), Dean Kyne, Daniel P. Aldrich, Dominic Kyei

Sociology Faculty Publications

Social capital influences community disaster preparedness, response, and recovery. In 2020, Kyne and Aldrich introduced the Social Capital Index (SoCI), a pioneering, publicly available county-level measure capturing bonding, bridging, and linking social capital across the United States. Since then, the SoCI has been widely adopted across disciplines and applied in diverse research contexts. Five years later, emerging theoretical developments and expanded data availability offer an opportunity to reassess its diffusion and strengthen its methodological foundations. This study addresses three objectives: (1) revisiting the conceptual roots that informed the original index, (2) examining its diffusion through citation and co-citation analyses of …