Digital Commons Network^™

Communicating The Green Transition - Practices And Competencies For Engineers, Paul Talbot, Una Beagon, Stephen Harper, Janet Mckennedy

Research Outputs: 2025-Present

The green transition is driving demand for engineering expertise in sectors such as renewable energy, construction, transport, and industrial decarbonisation. Projects are complex and interdisciplinary, and communication plays a central role. This report presents findings from 20 focus groups with 103 engineers across Europe examining how engineers communicate in green transition project contexts. Participants described a wide range of communicative tasks involving coordination, documentation, stakeholder engagement, and public communication.Engineers work across spoken, written, and digital modes, shifting between formal and informal styles, and adapting to varied audiences. They must navigate fragmented tools and workflows, unclear goals and roles, jargon pitfalls, …

A Schönberg Approach To Devillier V. Texas: Synthesizing Text, Structure, And History Of The Takings Clause, Jordan Fortunati

University of the Pacific Law Review

No abstract provided.

3d Printed Microscopes As A Low-Cost Alternative To Conventional Light Microscopes, Aidan W. Donelan, Hunter N. Lemer, Sudeshna Roy, Nicholas C. Butzin

iLEARN Teaching Resources

Many K-12 schools function on limited budgets in their science departments, making it difficult to acquire, maintain, and update microscopes. While modern light microscopes are often complex, expensive, and require specialized training, they are based on simple principles of light. Microscopes enable us to observe objects too small for the naked eye and reveal intricate details. Introducing affordable, easy-to-use microscope adaptations early in education helps foster a deeper understanding of science and encourages young students to pursue STEM fields. Using 3D printing, we developed two innovative microscope models and two lesson plans. Lesson 1: Using a smartphone microscope to visualize …

Understanding Behavioral Engagement In Project-Based Learning: Key Influencing Factors, Maria Coney G. Pallones

English Faculty Publications

Project-Based Learning (PBL) is widely acknowledged for fostering student engagement; however, limited research explores how its specific design features influence behavioral engagement, defined as students’ active participation, persistence, and effort, particularly in early education settings. This study investigates what key factors, as perceived by teachers, influence students' behavioral engagement during PBL, and how these factors support motivation through the lens of Self-Determination Theory (SDT). Semi-structured interviews were purposively conducted with elementary teachers experienced in implementing PBL, and the data were analyzed using thematic analysis. Three key design features emerged as critical to sustaining behavioral engagement: voice, choice, and ownership, which …

The Guardian The Month Of November 2025, Wright State Student Body

The Guardian Student Newspaper

News articles from The Guardian for the Month of November 2025. The Guardian is the official student-run newspaper for Wright State University. It has been published regularly since March of 1965.

Evaluating The Role Of Investor Sentiment Dynamics In Tadawul Stock Market Using Hybrid Wang-Mendel Fuzzy Logic: A Bridge To Neutrosophic Uncertainty, Abdullah Alawajee, Mohd Tahir Ismail, S. Al Wadi, Jamil Jaber

Neutrosophic Sets and Systems

No abstract provided.

Topological Neutrosophic Analysis For Uncertainty Aware Thyroid Nodule Classification In Ultrasound Imaging, A. A. Salama, Huda E. Khalid, Ahmed K. Essa, H. Elagamy

Neutrosophic Sets and Systems

No abstract provided.

Infinitely-Middle State, Probabilistic Health And Interval Energy Forecasting: A Neutrosophic Framework For Electric-Vehicle Electrochemical Energy Storage Technology, Chuiyi Meng, Quanping Zou

Neutrosophic Sets and Systems

No abstract provided.

Distance Spectrum And Energy In Single Valued Neutrosophic Graphs, A.S. Sasipriya, Lakshmi Madireddy

Neutrosophic Sets and Systems

No abstract provided.

A New Neutrosophic Spherical Framework For Evaluating The High-Quality Economic Development At The Provincial Level, Fangfang Jin

Neutrosophic Sets and Systems

No abstract provided.

Q-Neutrosophic Set For Green Technology Innovation Assessment In New Energy Vehicle Enterprises: A Performance-Based Approach, Haofang Shou, Xiajing Cui

Neutrosophic Sets and Systems

No abstract provided.

A Neutrosophic Cubic Fuzzy Dynamic Interaction Model For Occupational Health And Safety Management Analysis In Modern Logistics Enterprises, Shufeng Sun

Neutrosophic Sets and Systems

No abstract provided.

A Model For Failure Mode And Effects Analysis Based Single Valued Neutrosophic Sets, Hossein Sayyadi Tooranloo, Reihaneh Hafizi Atabak

Neutrosophic Sets and Systems

No abstract provided.

Properties And Structure Of Type-2 Neutrosophic Control Point Relation, Siti Nur Idara Rosli, Mohammad Izat Emir Zulkifly

Neutrosophic Sets and Systems

No abstract provided.

Modeling Chinese Traditional Cultural Resonance In College Ethnic Instrumental Music Classroom Teaching Using Energy Driven Bipolar Interval-Valued Neutrosophic Graph, Yanhui Li

Neutrosophic Sets and Systems

No abstract provided.

Linguistic Neutrosophic Sets With Application To Group Decision-Making To Enhance The Work Effectiveness Evaluation Of University Counselors, Li Wang

Neutrosophic Sets and Systems

The evaluation of university counselors' work effectiveness in the new era aims to assess their performance in areas such as ideological and political education (IPE), psychological counseling, academic support, and daily management. The evaluation typically includes counselors' performance in guiding students’ thoughts, promoting mental health, crisis intervention, and career planning. A scientific and comprehensive evaluation system can improve the quality of counselors' work and promote students' holistic development. The work effectiveness evaluation of university counselors is multiple-attribute group decision-making (MAGDM). Recently, Exponential TODIM (ExpTODIM) and TOPSIS approaches have been introduced to address MAGDM. The 2-tuple linguistic neutrosophic sets (2TLNSs) have …

Pioneering Education In Holland, Michigan: The History Of Hope’S Preparatory School; Rare Books As Art And Artifacts, Rhian Machiela, Charlotte Ulloa

Archives and Special Collections Quarterly

Pioneering Education in Holland, Michigan: The History of Hope’s Preparatory School

Column: From the Director of Archives and Special Collections

Rare Books as Art and Artifacts

Cobalt Layered Double Hydroxide As Advanced Electrode Materials For Supercapacitors And Electrocatalysis, Wafa Sultan Alaryani

Theses

Due to the high demand for sustainable energy storage options and efficient energy conversion devices, extensive research has been conducted on various electrode materials. This thesis is concerned with the fabrication of electrode material mainly using cobalt-based material, particularly cobalt layered double hydroxides (Co-LDH) with the combination of nitrogen-doped carbon nanotubes (N-CNTs) to be used in supercapacitors and oxygen evolution reactions (OERs) applications. The main objective is to enhance the electrochemical performance of supercapacitors and to develop a novel electrode material for a more stable and efficient OER in alkaline medium.

The methodology involved a one-step hydrothermal procedure to synthesize …

The Ai-Powered Learning Loop In Higher Education, Oualid Abidi, Vladimir Dzenopoljac, Aleksandra Dzenopoljac

All Works

Purpose – This study examines how generative AI tools affect business students’ academic performance by investigating whether flexible AI policies promote deeper learning, enhance self-efficacy and facilitate tacit knowledge acquisition in a Middle Eastern context, while ensuring efficiency and academic integrity. Design/methodology/approach – A qualitative, exploratory study observed 20 final-year business students in Kuwait during five in-class activities using generative AI tools. Semi-structured interviews complemented the researcher’s observations. Thematic analysis revealed patterns in benefits, challenges and learning processes, leading to the development of the AI-powered learning loop framework to explain academic performance outcomes. Findings – The study indicates that generative …

‘Earth System Engineers’ And The Cumulative Impact Of Organisms In Deep Time, Simon A. F. Darroch, Michelle M. Casey, Alison T. Cribb, Amanda E. Bates, Matthew E. Clapham, Dori L. Contreras, Matthew Craffey, Ivo A. P. Duijnstee, William Gearty, Nicholas J. Gotelli, Marcus J. Hamilton, Riley F. Hayes, Pincelli M. Hull, Daniel E. Ibarra, V. A. Korasidis, Jaemin Lee, Cindy V. Looy, Tyler R. Lyson, Benjamin Muddiman, Peter D. Roopnarine, Alex B. Shupinski, Felisa A. Smith, Alycia L. Stigall, Catalina P. Tomé, Katherine A. Turk, Amelia Villaseñor, Peter J. Wagner, Steve C. Wang, S. Kathleen Lyons

College of Life Sciences Faculty Papers

Understanding the role of humans as 'ecosystem engineers' requires a deep-time perspective rooted in evolutionary history and the fossil record. However, no conceptual framework exists for studying the rise of ecosystem engineering in deep time, requiring us to consider effects that fall outside the scope of traditional definitions. Here, we present a new framework applicable to both modern and ancient engineering-type effects. We propose a new term - 'Earth system engineering' - to describe biological processes that alter the structure and function of planetary spheres, and which combines core tenets of ecosystem engineering, niche construction, and legacy effects. We illustrate …

An Original Quantum-Neutrosophic Calculus Framework For Dynamic Evaluation And Optimization Of Enterprise Human Resource Management Capabilities Under Uncertain Environments, Jiange Yan, Suriani Abdul Hamid, Zainizam Bin Zakariya

Neutrosophic Sets and Systems

No abstract provided.

Uncertainty-Aware Multi-Agent Robotic Path Planning In Industrial Internet Of Things Using Complex Fermatean Threshold Neutrosophic Graphs, Ning Peng

Neutrosophic Sets and Systems

No abstract provided.

Modeling Social Evolution, Involution, And Indeterminacy: A Neutrosophic-Cultural Algorithm Approach, Antonios Paraskevas, Florentin Smarandache

Neutrosophic Sets and Systems

Neutrosophic Sociology, or Neutrosociology, is the study of sociology using neutrosophic scientific methods for understanding the dynamics of social systems within complex environments. When a social change occurs, the society evolves with respect to some parameters, regresses with respect to others, and remains the same or experiences an unclear change (indeterminacy) with respect to another set of parameters. This mirrors neutrosophic logic: true (��), neutral or indeterminate (ℐ), and false (ℱ). The main concept of cultural algorithms is a generalization of the idea that evolution has at its base both racial learning within species and social learning within human societies. …

Modeling Uncertainties Associated With Decision-Making Algorithms Based On Similarity Measures Of Possibility Belief Interval-Valued Fuzzy Hypersoft Setting, Mamika Ujianita Romdhini, Faisal Al-Sharqi, R.H. Al-Obaidi, Zahari Md. Rodzi

Neutrosophic Sets and Systems

Hypersoft sets (HSSs) were initiated as an extension of soft sets (SSs) to address real-life scenarios involving multiple disjoint sets with di erent traits. One such extension is the interval-valued fuzzy hypersoft set (IVFHSS), which has proven e ective in decision-making (DM). However, the IVFHSS model lacks a mech anism to incorporate the degree of acceptance of DM opinions, which is crucial for accurate decision-making. To overcome this limitation, our work aims to develop a novel hyperstructure called a possibility interval-valued fuzzy hypersoft set (PIVFHS-set). We begin by introducing essential operations and their properties, such as PIVFHS-subset, PIVFHS-null set, PIVFHS-absolute …

The Meaning Of Independence In Local Institutions From Neutrosophic Perspective, Alaa A. Mohammed, Sabah S. Abdulrahman, Huda E. Khalid, Florentin Smarandache, A. A. Salama

Neutrosophic Sets and Systems

t is well known that the term vagueness is spread in all aspects of our lives, this manuscript will clarify the meaning of independence (strict meaning of independence, the illusory meaning of independence, Oscillating between the true meaning of independence, and the fallacy of claiming independence and not applying it), this triplet actually refers to the three components that the Neutrosophic theory standing on which is (truthiness, falsity, indeterminacy), the strategy of applying the notion of independency in the local institutions, enlighten on the allegation of applying the independency notion in some governments’ institutions without a real impact of this …

Relu-Based And Dnn-Based Generalized Maximum Score Estimators, Xiaohong Chen, Wayne Yuan Gao, Likand Wen

Cowles Foundation Discussion Papers

We propose a new formulation of the maximum score estimator that uses compositions of rectified linear unit (ReLU) functions, instead of indicator functions as in Manski (1975, 1985), to encode the sign alignment restrictions. Since the ReLU function is Lipschitz, our new ReLU-based maximum score criterion function is substantially easier to optimize using standard gradient-based optimization pacakges. We also show that our ReLU-based maximum score (RMS) estimator can be generalized to an umbrella framework defined by multi-index single-crossing (MISC) conditions, while the original maximum score estimator cannot be applied. We establish the n −s/(2s+1) convergence rate and asymptotic normality for …

The Lexicographic Preference And The Tops-Only Property, Xinning Geng

Dissertations and Theses Collection (Open Access)

This paper studies the structure of the lexicographic preference domain in the context of strategy proof Random Social Choice Functions (RSCFs). Classical sufficient conditions for the tops-only property—namely, the Interior and Exterior Properties—do not hold in lexicographic domains. Nevertheless, these domains still exhibit the tops-only property. We first provide a structural explanation of why the Interior and Exterior Properties fail in this setting. We then introduce two new structural conditions, Property 1 and Property 2, and show that any two-dimensional lexicographic preference domain satisfying these conditions is a tops-only domain. Finally, we prove that the two-dimensional lexicographic domain meets both …

Symbolic Execution Engine For Dynamic Analysis Of System Software, Pansilu Madhura Bhashana Pitigala Arachchillage

Dissertations and Theses Collection (Open Access)

System software, like any regular software, is prone to errors. It plays a specific role in a computer system by managing the underlying hardware and providing a platform to execute the application software. Defective or vulnerable system software can be exploited by attackers to compromise the entire system. Therefore, the system software must be studied and thoroughly analyzed to evaluate its security. However, due to the inherent complexity and its close interactions with the hardware, analyzing system software is a challenging task. As a result, there is a lack of tools and techniques capable of effectively analyzing system software.

This …

Graph Perturbations For Robust Knowledge Discovery And Retrieval, Hanhua Xiao

Dissertations and Theses Collection (Open Access)

Graph perturbation, rooted in classical perturbation theory, studies how small topology edits, i.e., adding or deleting edges, affects graph properties (e.g., density, centrality). This fundamental problem underpins applications like bioinformatics, privacy preservation and system defense. While much prior work targets perturbations that influence global graph statistics or model outputs, comparatively little addresses robustness for knowledge discovery and information retrieval. In these settings, graphs are attributed: nodes carry real-world semantics (e.g., locations, people) and edges encode interactions or relationships. This thesis proposes new formulations and algorithms that generate and leverage graph perturbations to make knowledge discovery and retrieval more robust. Specifically, …

Enhancing Multi-View, Multi-Modal Sensing, Perception And Actuation For Edge Intelligence, Dhanuja Tharith Wanniarachchige

Dissertations and Theses Collection (Open Access)

Artificial Intelligence of Things (AIoT) technologies have ushered in exciting new advances in intelligent sensing, perception, and actuation for many real-world cyberphysical systems (CPS) applications. These technologies have had a formidable impact in domains such as large-scale video surveillance, autonomous transportation and robotics, precision healthcare, and industrial automation. In these applications, sensors and actuators are often collocated with processing nodes, and such nodes are typically interconnected via wireless networks. Vision-based machine intelligence, exemplified by tasks such as object detection, object tracking, and activity analysis, is a very common enabler of such CPS applications. Efficient execution of Deep Neural Network (DNN) …