Digital Commons Network^™

Using Ai Centaur Systems To Strengthen Professional Judgment, John Lande

Journal of Dispute Resolution

This article encourages dispute resolution practitioners to use artificial intelligence (AI) “centaur” systems, which may perform better than either humans or AI tools operating independently. Centaur systems combine human and AI capabilities so that each contributes complementary strengths in decision-making. This is particularly important in managing legal disputes, where practitioners should integrate analysis of legal issues, tangible and intangible costs, strategic judgment, and ethical considerations.

The Life And Work Of Odr Visionary And Architect Colin Rule (So Far), John Lande

Journal of Dispute Resolution

Many people know Colin Rule as a pioneer of online dispute resolution. Fewer people probably appreciate the full breadth of his contributions over the last three decades. This article reviews Rule’s work as a builder of dispute resolution systems, writer, educator, entrepreneur, and institutional leader. It highlights recurring themes in his career and scholarship, including trust, fairness, usability, access to justice, and the need to keep human judgment at the center of technological innovation.

Cooling Conflict: Embedding Mediation Protocols In Data Center Land Sale Contracts, Allison Elias

Journal of Dispute Resolution

Imagine a two-thousand-acre plot of land in rural Louisiana being leveled to accommodate a 10 billion dollar data center. With the construction of this data center comes the destruction of a region inhabited by rich plant and animal life as well as 80,000 residents, a quarter of whom live below the poverty line. Alternatively, think of a $750 million data center being built next door to your home, causing sediment build-up in your water supply, water scarcity, light pollution, and destruction of neighboring forests. Unfortunately, one does not have to imagine these scenarios. Both stories come directly from recent news …

Reports Of Legal Writing’S Death Are Greatly Exaggerated: Why Generative Ai Will Not Kill The Craft, Jayne T. Woods

Journal of Dispute Resolution

In preparing for this essay, I typed the phrase “legal writing is” into Google to see how common searches finished the thought. The only completed thought to appear was “legal writing is hard.” Amen. Legal writing is an amalgamation of logical reasoning, cognitive psychology, classical rhetoric, legal terminology, legal citation, and proper grammar and style, all of which must result in a product accessible to readers of all education levels. When generative AI arrived, producing cogent, plausible legal prose in seconds, it led many to believe that writing, generally, and legal writing, specifically, had reached the end of days.

Mirror, Mirror On My Screen, Can You Feel Like A Human Being?, Lauren A. Newell

Journal of Dispute Resolution

We cannot go anywhere without encountering artificial intelligence (AI) these days. AI has infiltrated our phones, our cars, and our washing machines. It is with us in doctors’ offices, at the drive-through, and at sporting events. It has taken over our calendars and our inboxes and our videoconferences, and it would like to help us brush our teeth, too.

Justice After Atrocity: Lessons From Rwanda And Cambodia For Contemporary International Law And Conflict, Jennie Hubbard

Journal of Dispute Resolution

In the aftermath of mass atrocity, the question facing survivors and policymakers is not whether societies will rebuild but how rebuilding will address truth, justice, and memory. Modern transitional justice systems trace institutional and normative roots to the post—World War II order, most famously embodied by the Nuremberg Trials, which first established that individuals could be held accountable for crimes against humanity. Nuremberg did more than punish Nazi officials; it articulated a legal and moral principle that the international community could, and sometimes must, assert jurisdiction to address mass crimes when domestic systems fail. Despite that precedent, global reactions to …

Beyond City Limits: Access To Adr And Child Client-Directed Counsel In Missouri’S Rural Family Courts, Reghan Matlock

Journal of Dispute Resolution

Reba McEntire once sang, “Don’t trust your soul to no backwoods southern lawyer”—a warning that still echoes in today’s debates about rural justice and representation. The catchy murder ballad captures a story driven by dramatic family ties and a broken justice system. While the song exaggerates for effect, it taps into a realistic concern: an existing divide in access to justice between rural and urban communities. This divide impacts all areas of law, including family law—where concerns about confidentiality and privacy are heightened because small communities make it difficult to shield sensitive matters from public view. The divide is troubling, …

Reforming Mediation: The Hidden Inequities Shaped By Race, Gender, And Power, Victoria Seever

Journal of Dispute Resolution

Courts and policymakers often promote family dispute resolution as a faster, less adversarial alternative to traditional litigation. Yet for many women of color, the mediation table often replicates the same racial and gender power imbalances that the legal system claims to mitigate. Family Dispute Resolution (“FDR”) often fails women of color by reinforcing racialized and gendered power imbalances. Alternative dispute resolution (“ADR”), especially mediation, presents both an opportunity and a risk in divorce, custody, and intimate partner violence (“IPV”) cases. IPV cases become especially difficult with the various laws in different states that govern how mediation should be used and …

Statistical Evaluation Of A New Orleans Historic Rainfall Dataset (1840–1893), Arielle C. Filostrat

LSU Master's Theses

This study evaluates the climatic credibility of a newly identified historical rainfall dataset for New Orleans, Louisiana, spanning 1840–1893. The New Orleans Historical Dataset (NOHD) is compared to a modern observational record from the Audubon rain gauge (1893–2024) to determine whether nineteenth-century rainfall observations are consistent with known precipitation behavior in the region. Establishing the reliability of early records is critical for extending climatological baselines and improving understanding of long-term rainfall variability.

Historical rainfall observations were first evaluated through archival review using the New Orleans Medical and Surgical Journal and other nineteenth-century meteorological records to verify notable rainfall events. Daily …

The Unexpected Role Of Conditionality In Shaping Relational Values: Insights From An Incentive-Based Conservation Program In Bolivia, Brooke Mcwherter, Will Munger, Zhao Ma, Claudia Radel, Laura Zanotti, Jonathan Bauchet, Ricardo Godoy

Department of Agricultural Economics Faculty Publications

As global change accelerates, Payments for Ecosystem Services (PES) programs have become increasingly important tools for addressing the interconnected challenges of land degradation, biodiversity loss, water scarcity, and climate change. PES programs provide incentives to individuals or communities, conditional on people adopting sustainable natural resource management practices to support or increase ecosystem service provisioning. Although conditionality is considered a “PES-defining feature,” little is known about how conditionality is perceived by community members and how such perceptions influence their participation in and experience with PES programs. To address this gap, we conducted an extensive qualitative study of Watershared, an incentive-based conservation …

Improving Neutron Scattering And Fission Modeling With Modern Machine Learning, Karl Daningburg

Theses

We describe the development of a novel emulator for the fission fragment decay code, $\texttt{CGMF}$, which calculates the emission of prompt neutrons and $\gamma$ rays from fission fragments.  The emulator described in this work uses a combination of a noisy emission model and mixture density network to model the neutron and $\gamma$-ray multiplicities and energies.  In this manuscript, we display the power of this type of emulator for not only modeling average prompt fission observables but also correlations between fission fragment initial conditions and these observables, using both neutron-induced and spontaneous fission reactions. We find that neutron ($\gamma$-ray) multiplicities can …

Understanding The Lubrication Mechanisms Of Environmentally Compatible Protic Ionic Liquids, Davis Kipkania Kiboi

Theses

The development of environmentally sustainable lubricants is increasingly important as industries seek to reduce friction, wear, energy losses, and environmental impact. Choline amino acid protic ionic liquids (PILs) have emerged as promising candidates due to their bio-based constituents, tunable molecular structures, and favorable lubrication properties. However, the influence of amino acid structure on their lubrication mechanisms and tribological performance remains poorly understood. This dissertation investigates the physicochemical properties, tribological behavior, and tribofilm formation mechanisms of choline amino acid PILs to establish structure–property–performance relationships for sustainable lubricant design. Ten choline amino acid PILs containing glycine, alanine, lysine, leucine, isoleucine, aspartic acid, …

The Impact Of Alexithymia On Body Image: The Mediating Role Of Rumination Among Students At Sultan Qaboos University, Fatima Alrahbi, Mai Helmy, Amal Alhadabi

Journal of Educational and Psychological Studies

The study aimed to examine the mediating role of rumination in the relationship between the dimensions of alexithymia and body image among first-year students at Sultan Qaboos University in the Sultanate of Oman. The descriptive method was employed, and the sample consisted of 310 male and female first-year students at Sultan Qaboos University, who were selected using a convenience sampling method. The study instruments included three scales: the Body Image Scale, the Toronto Alexithymia Scale, and the Rumination Scale. The results indicated the presence of statistically significant direct effects of the dimensions of alexithymia on rumination. The findings showed that …

The Effectiveness Of A Digital Game-Based Learning Environment In Developing Problem- Solving Skills Among Primary School Students, Ayda Abdulkareem Aleidan

Journal of Educational and Psychological Studies

The study aimed to examine the effectiveness of a digital learning environment based on educational games in developing problem-solving skills among female elementary school students. The digital environment was designed using educational game tools (ClassCraft, Kahoot!, Scratch) within interactive activities that consider learners’ characteristics and the requirements for developing problem-solving skills. The sample consisted of 64 fifth-grade students, divided into two groups: an experimental group (n = 31) that learned through the game-based digital environment, and a control group (n = 33) that learned through traditional instruction. An electronic game-based training program was implemented, along with an observation checklist to …

How Preservice Teachers' Confidence Is Impacted By A Geometry Course, Stephanie Hastings, Gabriel T. Matney

School of Inclusive Teacher Education Faculty Publications

A large body of literature supports the notion that a K-12 teacher's confidence in teaching and content impacts student achievement. This study explores a group of preservice teachers and their confidence in teaching geometric concepts. The eight participants were preservice secondary mathematics teachers enrolled in a high-school-focused geometry course centered on pedagogical content knowledge. Using mixed methods, the study examined how their confidence to teach geometric topics changed over the course, with participants rating that confidence on a 4-point Likert scale. Confidence to teach most topics increased significantly. Six themes emerged from the second round of interviews: (1) deep understanding …

Resilience Modeling Method For Combat System-Of-Systems Based On Hypernetwork And Game Theory, Yuxian Duan, Hanqiang Deng, Jiarui Zhang, Jian Huang, Shijia Zhang

Journal of System Simulation

Abstract: In view of the difficulties in dynamic reconfiguration and resilience evaluation faced by modern combat system-of-systems in a highly adversarial environment, and the deficiencies of existing studies in depicting high-order interaction relationships and cluster evolution mechanisms, this paper proposed a resilience modeling method for combat system-of-systems integrating hypernetwork and game theory, aiming to analyze the resilience mechanism of the system-of-systems in all dimensions from micro, mesoscopic, to macro levels. At the micro level, a high-order motif structure was introduced to represent the complex interaction modes among combat units, which overcame the information loss of traditional binary relationships in depicting …

Simulation Study Of Elevator Group Control Scheduling Based On Real-Time Occupancy Perception, Yiyong Han, Shiyu Wang, Yang Ye, Zhen Zhang, Fengque Pei, Minghai Yuan

Journal of System Simulation

Abstract: To address the conflict between car space allocation and peak passenger flow response efficiency in elevator group control scheduling, a multi-objective scheduling method based on proximal policy optimization (PPO) with real-time occupancy perception was proposed. A simulation environment considering car capacity constraints was constructed, and a reward-penalty mechanism with average passenger waiting time, system energy consumption, and car congestion as optimization objectives was designed. Based on this, state and action spaces were defined to form a PPO-based scheduling framework; a simulation platform integrating traffic flow visualization, policy scheduling, and performance evaluation was developed. Simulation results show that this method …

Adaptive Spatiotemporal Graph Neural Network-Based Net Load Forecasting For Residential Areas, Yongqi Yang, Cong Wang, Hongli Zhang, Ping Ma, Yue Meng, Tianhao Zhou

Journal of System Simulation

Abstract: To address the issue that traditional residential overall power load forecasting methods fail to fully consider the differences in users' electricity consumption habits, making it difficult to improve prediction accuracy, a residential net load forecasting method combining representation learning clustering and an AGCN-Transformer was proposed. The representation learning method was utilized to fully extract the latent features of users' net load data, and users were divided into different groups based on the similarity of electricity consumption behaviors; the net load data of the same group were aggregated, and a graph structure suitable for this task was constructed by comprehensively …

Evolution And Prospects Of Polarization Image Simulation Technology, Gengpeng Li, Wei Cai, Zhiyong Yang, Zhili Zhang, Xiaowei Wang

Journal of System Simulation

Abstract: Polarization image simulation technology is a key means to break through the bottleneck of polarization data acquisition and promote the development of polarization vision. This study systematically reviewed three evolutionary paradigms of this technology: Physical mechanism simulation, based on the polarization bidirectional reflectance distribution function and polarization ray tracing, strictly solves polarization light transmission, which has high interpretability and credibility, but it is computationally complex and lacks visual realism. Data-driven simulation, using models like neural radiance fields to learn polarization appearance from data, has high generation efficiency and visual fidelity but weaker physical consistency and interpretability. Physics-data fusion simulation …

Mbse Design And Approach-Phase Operational Simulation Of Bdsbas Airborne Receiver, Ruihua Liu, Tongwei Wang, Zan Ma

Journal of System Simulation

Abstract: In view of the problem that traditional document-based design methods are difficult to effectively capture the dynamic characteristics and internal interactions in navigation accuracy and integrity assurance required by BeiDou satellite-based augmentation system (BDSBAS) airborne receivers during the approach phase, which easily leads to designs deviating from actual requirements and affects system performance, a model-based systems engineering(MBSE) method was introduced. A multi-dimensional system architecture model encompassing system requirement analysis, behavior description, structure design, and parameter constraints was established. Taking BDSBAS as the object, a co-simulation method of system modeling language and MATLAB for required navigation performance (RNP) was proposed, …

Simulation Study On The Vulnerability Of Belt And Road Composite Transportation Network Based On Cascading Failure, Mingjun Qian, Chao Yin, Zhiwen Huang, Quanneng Wang

Journal of System Simulation

Abstract: To address the issues of unclear cascading failure propagation mechanisms and difficult-to-quantify vulnerability evolution laws caused by the structural complexity and node heterogeneity of the "Belt and Road" multimodal transport network, a vulnerability assessment method for composite transportation networks integrating physical analogy and improved cascading failure model was proposed. Sub-networks were constructed based on main transportation modes of the Belt and Road, and nodes in the same city were coupled to build a composite transportation network model. An information entropy-Joule's law model was constructed to identify key nodes of the composite network and its subnetworks. A load-capacity cascading failure …

Distributed Cooperative Control Of Swarm Unmanned Aerial Vehicles Based On Multi-Route Clustering, Yuyang Xiong, Chuntao Li, Wenhao Qiu

Journal of System Simulation

Abstract: To address the collaborative control and formation maintenance problems of large-scale swarm unmanned aerial vehicles, a distributed cooperative control method for unmanned aerial vehicles based on multi-route clustering was proposed. Leveraging the characteristics of multiple routes, the overall cooperative control problem of the swarm was decoupled into the cooperative control within the same route and the consensus control between multiple routes. Within the same route, a forward-neighbor information interaction mechanism was designed to determine the neighbor relationships, and a velocity-guided cooperative algorithm was utilized to achieve the desired velocity matching and spacing maintenance of unmanned aerial vehicles; between multiple …

Modeling And Simulation Of Efficient State Information Diffusion In Wireless Ad Hoc Networks, Mengyao Jia, Shaozhu Gu, Junhan Wang, Denghao Wang, Du Xu, Xiaoning Zhang

Journal of System Simulation

Abstract: To solve the problems of significant communication overhead and limited real-time response capability in the traditional flooding-based state diffusion mechanism, an efficient diffusion algorithm based on regional partitioning and information compression was proposed. A multi-dimensional feature clustering method integrating geographic distance and link quality was used to achieve high-cohesion network partitioning through weighted Euclidean distance and the K-means algorithm; a dynamic selection mechanism for representative nodes was designed to conduct comprehensive scoring by combining the link quality and geographic centrality of nodes, realizing the efficient compression and aggregated transmission of regional information. Simulation results indicate that the algorithm significantly …

Trajectory-Aware Dynamic Offloading For High-Mobility Vehicular Edge Systems, Haoran Xu, Zhiqin Huang, Youwu Hu, Zheyi Chen

Journal of System Simulation

Abstract: To address the problems of service interruptions, task failures, and resource waste caused by high mobility of intelligent vehicles (IVs) in vehicular edge computing (VEC), this paper proposes a trajectory-aware dynamic offloading (TADO) framework for high-mobility vehicular edge systems. A lightweight T-pattern trajectory-aware algorithm is designed to efficiently predict the next-hop road side unit (RSU) by mining spatio-temporal patterns from historical trajectories of vehicles, offering a forward-looking reference for offloading decisions. A joint optimization model is constructed, and a service interruption risk factor driven by trajectory prediction is introduced. An improved DRL method is developed. It takes the predicted …

Multi-Auv Pursuit Algorithm With Phased Guidance Based On Maddpg, Sen Zhang, Sihang Shen, Xiaojie Sun, Jingping Shao, Shuaiqiang Guo, Yingjie Deng

Journal of System Simulation

Abstract: To address the problems such as low exploration and sampling efficiency and sparse rewards in the early training stage under the complex target pursuit environment of multiple AUVs based on MADDPG, a phased-guidance curriculum MADDPG (PGC-MADDPG) algorithm was proposed. The pursuit task was divided into two phases, i.e., target tracking and encircling, through curriculum learning. In the target tracking phase, an experience strategy based on the APF method was introduced as a guidance item to provide prior knowledge of the target direction and accelerate the AUV training speed. After entering the encircling phase, the APF guidance item was removed, …

Study On Trajectory Optimization Of Spray Painting Robot Based On Improved Sparrow Search Algorithm, Jie Yang, Zhenkai Xiong, Longyan Wang

Journal of System Simulation

Abstract: To address the challenges posed by the complex working environment to the trajectory planning of the spray painting robot, a multi-strategy integrated sparrow search algorithm (MISSA) was proposed with the dual optimization objectives of time efficiency and motion smoothness. The 3-5-3 polynomial interpolation method was adopted to design the trajectory curve, aiming to ensure continuous angular displacement, angular velocity, and angular acceleration throughout the process. A multidimensional optimization problem with joint constraints was constructed using the total trajectory duration as the performance index. MISSA, which integrates refraction reverse learning, sine-cosine adaptive adjustment, and Cauchy mutation, was utilized to optimize …

Simulation Platform Based On Soc-Fpga Clusters For Cxl-Ethernet Heterogeneous Interconnection, Xu Zhang, Ke Liu, Mingyu Chen

Journal of System Simulation

Abstract: To address the difficulty of balancing simulation speed and topology flexibility when simulating large-scale, CXL-Ethernet heterogeneous interconnect datacenter scenarios with existing CXL simulation platforms, this paper presents CNetSim, a semi-physical simulation platform based on an SoC-FPGA cluster. The platform employs SoC-FPGA hardware to emulate endpoint nodes, leveraging their real processors and memory devices as well as FPGA-implemented CXL. mem protocol to support high-speed execution of standard Linux systems and real distributed applications. Meanwhile, it utilizes the flexible topology configuration capability of software simulation to implement CXL switched networks and inter-rack Ethernet interconnects based on DPDK on simulation servers. Simulation …

Optimization Of Convective Heat Transfer Parameters For Spindles Based On Finite Element Thermal Analysis, Jiali Zhang, Haiping Liu, Qinsheng Jiang, Sina Dang

Journal of System Simulation

Abstract: In view of the low simulation accuracy of existing finite element models for thermal characteristics of spindles caused by ignoring the influences of geometric characteristics of convective surfaces and fluid flow patterns and often adopting constant temperature loading in the setting of convective heat transfer boundary conditions, this paper proposed an optimization method for convective heat transfer parameters of spindles based on finite element thermal analysis. Combined with the geometric shapes and spatial positions of various convective surfaces of the spindle system, the calculation criterion of the convective heat transfer coefficient was determined through dimensional analysis according to the …

Simulation And Optimization Of Task Offloading In Mine Edge Computing For Low-Concurrency Devices, Zhaolu Guo, Qianhui Liu

Journal of System Simulation

Abstract: With the advancement of mine intelligence, task offloading technology has become a core technology of mine edge computing (MEC). For edge computing systems deployed with mine low-concurrency devices (MLCD), a discrete-event simulation model for MEC task offloading oriented to MLCD was constructed to solve the collaborative optimization problem of task processing latency and load balancing of mine edge servers (MES). By dynamically simulating the queuing, transmission, and computation processes of tasks, the objective of minimizing task processing latency was achieved. An improved evolutionary algorithm, ISBT-EA, was proposed, which integrated a task-characteristic-driven initialization strategy and local search operators, enhancing the …

Harnessing Nitrogen Fixing Plants For A Bio-Solar Nitrogen Economy, Taufiq Nawaz, Liping Gu, James Young, Riffat Latif, Mazhar Sher, Lan Xu, Shah Fahad, Ruanbao Zhou

Natural Resource Management Faculty Publications

The fossil fuel–driven chemosynthesis of ammonia for nitrogen fertilizers is a major contributor to global greenhouse gas emissions, releasing approximately 1130 million metric tons (MMT) of CO₂-equivalent annually. In addition, the extensive use of synthetic nitrogen fertilizers (≈108 MMT annually) results in substantial emissions of nitrous oxide (N₂O), while nearly 50% of applied nitrogen is lost through leaching and runoff, leading to widespread nitrate pollution and ecosystem degradation. In contrast, solar-powered biological nitrogen fixation (BNF) by nitrogen-fixing plants offers a sustainable alternative that supports agricultural productivity and healthy ecosystem resilience. BNF by leguminous and non-leguminous plants …