Digital Commons Network^™

2024-10-16 Seattle U’S Relationship With Boeing Holds Steady Amidst Company’S Ongoing Strike, Erika Justus

The Spectator Online

No abstract provided.

Stand-Ins: Causes And Consequences Of Temporary Leadership, Anne Joseph O’Connell

BYU Law Review

Hafen Lecture, BYU Law School, September 13, 2023.

Editorial: Artificial Intelligence And Cybersecurity In Pervasive Computing, Ji-Jian Chin

School of Engineering, Computing and Mathematics

Pervasive computing, or ubiquitous computing, is rapidly increasing in capacity and capabilities. With the Internet of Things (IoT) becoming an integral part of daily life and the growing availability of edge computing resources, automation guided by data is advancing applications in healthcare, manufacturing, automotive, and other areas. It's natural that pervasive computing will intersect with artificial intelligence (AI) and cybersecurity. AI can improve detection, prediction, and anticipative responses to human needs, while cybersecurity addresses topics like misuse prevention, ethics, policies, and governance. This issue features seven articles on these intersections, including four AI articles exploring natural language processing and computer …

Enhanced Lithological Mapping In Arid Crystalline Regions Using Explainable Ai And Multi-Spectral Remote Sensing Data, Hesham Morgan, Ali Elgendy, Amir Said, Mostafa Hashem, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Lithological classification is essential for understanding the spatial distribution of rocks, especially in arid crystalline areas. Artificial intelligence (AI) recent advancements with multi-spectral satellite imagery have been utilized to enhance lithological mapping in these areas. Here we employed different AI models namely, Support Vector Machine (SVM), Random Forest Classification (RFC), Logistic Regression, XGBoost, and K-nearest neighbors (KNN) for lithological mapping. This was followed by the application of explainable AI (XAI) for lithological discrimination (LD) which is still not widely explored. Based on the highest accuracy and F1 score of the previously mentioned models, RFC model outperformed all of them, and …

Searching For The Path To A More Perfect Union. A Book Review Of Educating For Democracy, Tiffany Berman, Aaron Mccullough, Rabih Murr, David Adams

Democracy & Education

Educating for Democracy presents Walter Feinberg’s vision for the democratic aims of education. Feinberg argues that the evolutionary nature of democracy should be met with a citizenry capable of critical reflection. Education for democracy, then, entails the development of cognitive and affective habits that underpin this critical reflexivity. However, Educating for Democracy asserts that such education should be embedded across curricular areas and not limited solely to civics education. In this review of Educating for Democracy, we begin by providing a broad overview of Feinberg’s foundational arguments presented in the opening chapters. Next, we identify specific themes developed in these …

Democratic Practices As Part Of Mathematical Modeling In Schools, Lisa Steffensen, Inger Elin Lilland, Shengtian Zhou

Democracy & Education

We focus on how democratic practices occur during the modeling activity “The Candy Bag of Dreams.” With democratic practices, we refer to approaches supporting inclusivity and active participation aimed at empowering students. We investigated one group of preservice teachers implementing an optimizing modeling activity during practicum in two fifth-grade classes, where students modeled their dream candy bags. Students engaged in mathematical modeling where mathematics was embedded in their social context, and they negotiated meanings and developed perspectives. Through this, they experienced lived democracy by actively engaging in and through democratic practices.

We found democratic practices such as students inviting peers …

A Situated Lens To Designing Assessments Of Citizenship Competency, Paula J. Waatainen, Man-Wai Chu

Democracy & Education

As education systems increasingly emphasize teaching for the development of competency, teachers need support in how to design classroom assessments of competencies associated with their areas of learning. Teachers who engage students in learning democracy through deliberative dialogue and participation in real-world processes will find limited support in the literature on how to operationalize the development of associated competencies. In this first design cycle of an ongoing multi-stage design-based research study, a researcher and two classroom teachers in British Columbia collaborated to apply principles of authentic assessment (Koh, 2017) to the design of an assessment of the citizenship competencies Grades …

A Convergence Framework For Integrating Cybergis Education And Research On I-Guide Platform, Fangzheng Lyu, Furqan Baig, Yunfan Kang, Erick Li, Anand Padmanabhan, Shaowen Wang

I-GUIDE Forum

This paper described Data with Notebooks as a convergence framework for integrating cyberGIS education and research on the I-GUIDE Platform. The I-GUIDE Platform provides rich geospatial data and computing resources and adheres to FAIR (findable, accessible, interoperable, and reusable) data principles. The framework enhances these capabilities by harnessing scalable and reproducible geospatial analytics. Specifically, this framework supports the development of interactive cyberGIS education and research Jupyter Notebooks centered around geospatial datasets. A case study demonstrates the application of the framework, showing six cyberGIS research notebooks and four cyberGIS education notebooks based on a Twitter dataset. The case study and underlying …

Do Students' Academic Capital, Knowledge And Attitudes Towards Mandatory Fees, And University Knowledge Predict Their Payment Methods?, Emeka Ikegwuonu, Lydia Ross

Journal of Student Financial Aid

Mandatory fees in higher education have increased substantially in recent years. These increases have changed the net cost of attendance for students from semester to semester. Coupled with these changes, we are witnessing an increase in students from diverse lived experiences who are traditionally unaware of costs associated with their attendance. As fees typically support services and programs that promote student retention and matriculation, students should be aware of these services and programs. Because these students have varied perceptions of costs and understandings of resources and systems in higher education, it may shape their payment methods. Our findings suggest that …

Modern Band Music Teachers' Adoption Of A Community Music Ethos In Online Teaching During The Covid-19 Pandemic, Bryan Powell, Gareth Dylan Smith, Warren Gramm, David Knapp

Visions of Research in Music Education

At intersections of popular music education, music technology, and community music practices, music teachers in the United States adapted to teaching and learning during the COVID-19 pandemic, specifically from March 2020 to March 2021. The purpose of this research was to better understand the perspectives of modern band teachers regarding the opportunities and challenges of teaching music during the pandemic. The researchers interviewed four teachers who taught modern band (popular music) in public schools in geographically and demographically distinct parts of the US and found that each educator adopted a community music ethos in the online environment. An analysis of …

Generation Of Coastal Area Dems Using Oblique Stereo Imagery From Non-Metric Cameras With Sfm Techniques, Mona Hajiesmaeeli, F. Antonio Medrano, Philippe Tissot

I-GUIDE Forum

This study focuses on the the development of a method to create Digital Elevation Models (DEMs) for forecasting coastal inundation, a critical tool in the face of rising sea levels and extreme weather events. The study utilizes oblique stereo imagery captured with non-metric cameras, focusing on the area adjacent to Horace Caldwell pier in Port Aransas, Texas. The methodology involves the strategic placement of two Amcrest Ultra4K non-metric cameras on an elevated structure at the pier entrance. These cameras, positioned 8 meters above the ground and 20 meters apart, capture images at varying nadir angles high oblique (65 degrees), oblique …

Tradeoffs Of Generalization, Kyra M. Abrams, Peter T. Darch

I-GUIDE Forum

Models used in geospatial data science are often built and optimized for a specific local context, such as a particular location at a point in time. However, upon publication, these models may be generalized beyond this context, reused in research simulating or predicting other times and places. Without sufficient information or documentation, bias embedded in these models can in turn result in bias in the reuser’s research outputs. Drawing on a long-term qualitative case study of aging dams researchers and developers of models used by these researchers, we find significant documentation gaps. We combine a literature-based genealogy with interviews with …

Sustainable Cities; A Case Study Analysis Of Chesapeake, Va, Blaizen B. Bloom

OUR Journal: ODU Undergraduate Research Journal

This paper is a case study analysis of the City of Chesapeake, VA. Its purpose is to examine the influence between the City's actions and its impact on the Chesapeake Bay. Additionally, an analysis of future climate change impacts on the City of Chesapeake and the Chesapeake Bay in building an environmentally, economically, and socially sustainable City.

How Anthracite Smothered Centralia, Pennsylvania, Chris Kovalcik

Locus: The Seton Hall Journal of Undergraduate Research

Underneath the long-abandoned streets of a remote Pennsylvania town, an inferno scorches the very earth. Centralia was once a booming mining community, but its history and legacy left it incinerated. A mine fire started in an old mining ditch would spread uncontrollably over the span of decades, causing the untimely end of the town. However, what really happened is not immediately clear, causing the story of Centralia to devolve into a confusing quagmire. Studying the intersection of governmental, social, and environmental historical evidence may unravel the mystery. This paper aims to elaborate on the history of Centralia and broader anthracite …

The Green Flag’S Green Revolution: Analyzing The Effectiveness Of And Influence Of Greenwashing Within The Sustainability Initiatives Of International Motorsports Organizations, Andrea Hebel

Locus: The Seton Hall Journal of Undergraduate Research

As the world has begun to sharpen its efforts to reduce the impact of climate change, global industries must reckon with how to alter their technology to fit both consumer demands and new regulations. Among these industries is motorsports. Formula 1, NASCAR, and Formula E, three of the world’s largest motorsports organizations, have each developed initiatives to meet these changing standards. This paper analyzes the effectiveness of these initiatives at reducing environmental impacts, including examining the degree to which greenwashing tactics detract from these efforts. It finds that while NASCAR’s efforts lack behind new industry standards, Formula E and Formula …

"Dollar Princesses" And "Husband Hunters": The Gilded Age Redefinition Of The American Heiress, Julia Baldowski

Locus: The Seton Hall Journal of Undergraduate Research

This thesis investigates the late 19th-century phenomenon of ``Dollar Princesses,'' affluent New York City socialites who strategically married into the British Aristocracy to secure their social status and power. This study focuses on figures such as Consuelo Vanderbilt, Jennie Jerome, and Minnie Stevens, examining how these women strategically utilized their marriages as platforms to advance their personal ambitions while navigating the rigid social hierarchies of the period. The analysis contends that these transatlantic unions were not merely transactions of wealth and status but were instrumental in challenging and redefining traditional social structures. By securing influence and asserting their identities within …

Material Matters: A Comparative Analysis Of Hand Immobilization Orthoses Using 3d-Printed, Thermoplastic, And Fiberglass Cast, Shiori Domenighetti, Rebecca Ozelie

The Open Journal of Occupational Therapy

Background: Orthosis fabrication is a widely used technique in occupational therapy, and there is growing evidence supporting the use of 3D printing in the fabrication of cost-effective orthotics. Nevertheless, further research is needed to enable informed decision-making when selecting appropriate orthotic materials.

Method: A comparative analysis was conducted to evaluate the fabrication processes and final products of thumb immobilization orthosis made with three different materials from the fabricator’s perspective. Factors examined included the required equipment and materials, assessment of time and skills involved in the fabrication process, evaluation of ease of adjustment during fabrication, and objective measurements of …

Spartan Daily, October 15, 2024, San Jose State University, School Of Journalism And Mass Communications

Spartan Daily, 2024

Volume 163, Issue 22

A Plugin-Based Unreal Engine Adapter For Hla-Based Distributed Simulation, Mei Yang, Peng Wang

Journal of System Simulation

Abstract: With the wide application of game engine-based simulation in transportation, military and other fields, the demand for interoperability between game engine and traditional simulations is becoming increasingly strong. For the HLA-based integration of Unreal Engine and the traditional simulations, a plugin-based Unreal Engine adapter for distributed simulation is designed, which enables the rapid development of Unreal Engine federate and the efficient integration. The simulation shows the feasibility of the plugin-based Unreal Engine adapter.

Research On Sequential Design Methods For Satellite Combat Simulation Tests, Yanlin Wang, Zhijun Cheng, Zichen Wang, Jian Zhong

Journal of System Simulation

Abstract: Aiming at the problem that satellite monitoring mission simulation tests cannot take into account the number of sample points and model accuracy in the complex test space, a hybrid sequential test design method for satellite simulation tests based on sample density and local nonlinearity is proposed. Voronoi division is used to describe the density of discrete point distribution, and the nonlinearity is measured with the help of Taylor expansion and sample point neighborhood gradient information. The two are combined to calculate the hybrid metrics, and the sample points are ranked and new ones are added until the stopping criterion …

Improving Nsga-Iii Algorithm For Solving High-Dimensional Many-Objective Green Flexible Job Shop Scheduling Problem, Yigang Xu, Yong Chen, Chen Wang, Yunxian Peng

Journal of System Simulation

Abstract: Aiming at the poor initial solution quality and low local search efficiency of NSGA-III in solving the many-objective flexible job shop scheduling model, an improved NSGA-III (NSGA-III-TV) is proposed. Based on MSOS encoding, the different mixed initialization strategies are adopted for OS and MS chromosomes to improve the quality of initial solutions. Based on the critical path, an improved N6 neighborhood structure is used for neighborhood search, which effectively reduce the completion time and reducing search randomness. Three effective mutation operators are employed to expand the search space and improve the convergence capability in the later stages. Test results …

Multi-Objective Energy-Efficient No-Wait Flow Shop Scheduling Based On Hybrid Discrete State Transition Algorithm, Cong Wang, Jiaying Yu, Hongli Zhang

Journal of System Simulation

Abstract: A hybrid discrete state transition algorithm (HDSTA) is designed to solve the energyefficient no-wait flow shop scheduling problem (EENWFSP) minimizing makespan and total energy consumption. According to the characteristics of the problem, the coding method of job sequence and speed matrix is designed, and the heuristic algorithm is used to obtain the high-quality initial solution. According to the properties of EENWFSP, solving and allocating four discrete operators. The swap, shift and symmetry operators are embedded in secondary state transition are used for job sequence optimization, and the substitute operators are used for machine speed optimization. The speed substitute strategy …

Adaptive Recognition Method Of Capability Boundary Parameters For Unmanned Autonomous Systems, Jinwen Li, Peng Wang, Youmei Pan, Xinyao Hui

Journal of System Simulation

Abstract: To effectively cope with the dimension curse in simulation testing and reduce the number of simulations times needed in the traditional full-space parameter traversal, it is necessary to obtain specific simulation data to accurately reflect the modeling characteristics of the test data to obtain the informative and representative samples of the original data with a smaller number of simulations. A digital simulation test model for adaptive recognition ;/of capability boundary parameters for UAS is proposed. The model is initially constructed with a good point set with a multi-weight structure; In combination with an adaptive kernel function boundary point recognition, …

Operational Effectiveness Analysis Method Based On Spherical Fibonacci Lattice, Weiran Guo, Jiahao Zhou, Xiang Huang, Xin Zhao

Journal of System Simulation

Abstract: An operational effectiveness modeling and computing method based on spherical Fibonacci lattice is proposed to address the low simulation accuracy and computational efficiency of large-scale sampling for traditional latitude and longitude grids. The formal description of operational effectiveness in command information systems and the generation method of spherical Fibonacci grid points are provided. A command information systems capability analysis framework is constructed, which focuses on ensuring the continuous mission support and uses the responsibility area of combat tasks as a reference. Through a top-down system design approach, a layered and decoupled combat effectiveness computing framework is proposed which studies …

Ground Robot Relocation Method Based On Uav Point Cloud Map, Hongzhi Huang, Kai Yan, Changfeng Liu, Jianwen Wang, Bin Luo

Journal of System Simulation

Abstract: In response to the challenge of relocalization in air-ground collaborative systems without the support of Global Navigation Satellite System (GNSS), and the associated issues of insufficient accuracy, a coarse-to-fine relocalization algorithm based on a three-dimensional point cloud map is proposed. The algorithm eliminates the influence of invalid point clouds from the sky and ground through index filtering, performs coarse localization by extracting global features from the point cloud and applying truncated least squares estimation, and then employs voxel-based iterative closest point (ICP) for precise optimization to obtain the more accurate localization results. A ground robot localization and autonomous navigation …

توظيف تقنية التكلفة المرتكزة على المدة (Dbc) في تقويم الأداء وفق محاسبة المسؤولية في الوحدات الاقتصادية, رعد عبد مسلم

Muthanna Journal of Administrative and Economics Sciences

يهدف هذا البحث إلى استكشاف ماهية تقنية التكلفة على أساس المدة (Duration-Based Costing – (DBC ومتطلبات تطبيقها، وما هو ودورها في تقويم الأداء وفقاً لمبادئ محاسبة المسؤولية في الوحدات الاقتصادية، حيث ان تقنية (DBC) تعكس فهماً أعمق لكيفية توزيع التكاليف على الأنشطة بناءً على الوقت المستغرق لأدائها، مما يتيح للوحدات الاقتصادية تحديد الفاعلية والكفاءة في استغلال الموارد، كما يتناول البحث كيفية تطبيق هذه التقنية لدعم تقويم الأداء من خلال تقديم تقارير مالية أكثر دقة وشفافية تسهم في تحسين اتخاذ القرارات الإدارية، ولتحقيق اهداف هذا البحث تم تطبيقه في معمل الألبسة الرجالي فرع النجف الاشرف، وتم الاعتماد على بيانات سنة 2022، …

Advancing Stem Cell Technologies For Conservation Of Wildlife Biodiversity., Ashlee M Hutchinson, Ruth Appeltant, Tom Burdon, Qiuye Bao, Rhishikesh Bargaje, Andrea Bodnar, Stuart Chambers, Pierre Comizzoli, Laura Cook, Yoshinori Endo, Bob Harman, Katsuhiko Hayashi, Thomas Hildebrandt, Marisa L Korody, Uma Lakshmipathy, Jeanne F Loring, Clara Munger, Alex H M Ng, Ben Novak, Manabu Onuma, Sara Ord, Monique Paris, Andrew J Pask, Francisco Pelegri, Martin Pera, Ryan Phelan, Benyamin Rosental, Oliver A Ryder, Woranop Sukparangsi, Gareth Sullivan, Nicole Liling Tay, Nikki Traylor-Knowles, Shawn Walker, Antonia Weberling, Deanne J Whitworth, Suzannah A Williams, Jessye Wojtusik, Jun Wu, Qi-Long Ying, Thomas P Zwaka, Timo N Kohler

Faculty Research 2024

Wildlife biodiversity is essential for healthy, resilient and sustainable ecosystems. For biologists, this diversity also represents a treasure trove of genetic, molecular and developmental mechanisms that deepen our understanding of the origins and rules of life. However, the rapid decline in biodiversity reported recently foreshadows a potentially catastrophic collapse of many important ecosystems and the associated irreversible loss of many forms of life on our planet. Immediate action by conservationists of all stripes is required to avert this disaster. In this Spotlight, we draw together insights and proposals discussed at a recent workshop hosted by Revive & Restore, which gathered …

Research On Application Of Intelligent Indication Signs In Improving Efficiency Of Crowd Evacuation, Heng Niu, Yanbin Han, Liang Li, Weilin Chen, Sijie Niu, Qingtao Hou

Journal of System Simulation

Abstract: Aiming at the low emergency evacuation efficiency of dense crowds in confined spaces, a crowd evacuation guidance model based on intelligent signs is constructed in this paper. A balanced congestion strategy to optimize the signs layout and a social network search-based sign guidance weights optimization method are proposed to improve evacuation efficiency. Simulation experiments show that the optimized intelligent sign layout can effectively alleviate the local congestion during evacuation and reduce the time consumption of pedestrians caused by congestion. The optimized intelligent sign guidance weights can further balance the utilization rate of exits, which is conducive to making full …

Garage Agv Path Planning And Simulation Based On Improved Dwa, Zongfang Ma, Linxuan Zhang, Lin Song, Jia Wang

Journal of System Simulation

Abstract: Aiming at the path planning and real-time obstacle avoidance of AGV in complex path environment of intelligent garage, an improved hybrid algorithm combining ant colony algorithm and dynamic window method is proposed. In the global planning, the adaptive adjustment of pheromone volatilization coefficient and the fusion of angle parameters are introduced to establish the garage direction pheromone matrix to increase the guidance ability of target points, expand the direction selectivity of ants. In the local planning, the improved DWA of the obstacle distance evaluation subfunction based on elliptic equation is designed. By extracting the global path node of the …

Brief Of Apache Elder Ramon Riley, Professor Michalyn Steele, And Six Native American Rights And Cultural Heritage Organizations As Amici Curiae In Support Of Petitioner, John A. Meiser, Meredith H. Kessler

Court Briefs

No. 24-291
Apache Stronghold v. United States of America

On Petition for a Writ of Certiorari to the United States Court of Appeals for the Ninth Circuit

From the Summary of Argument

Meaningful access to sacred sites such as Oak Flat is an indispensable part of many Indigenous tribes’ religious exercise. Nonetheless, the government has repeatedly denied necessary access to these sites, and even destroyed them, thwarting the ability of tribal members to exercise core aspects of their spiritual practices. Regrettably, the Ninth Circuit’s errant decision denies the Apache people critical legal protections against such destruction—and thus only invites the …