Digital Commons Network^™

Bitseat: Reimagining The Financing For Airliners Using Nonfungible Tokens (Blockchain Technology), Edwin S. Ongola

Journal of Aviation Technology and Engineering

This essay describes how blockchain technology, particularly nonfungible tokens, can be used to raise funding for airliners. The essay begins with a brief overview on the costs, categories, and acquisition methods of airliners. After that, the essay introduces concepts on blockchain technology, tokens, and smart contracts. The essay then touches on how nonfungible tokens can be used to facilitate fractional ownership of airliners. From there, the essay discusses Bitseat, a conceptual nonfungible token for fractional ownership of airliners, covering its overall design, appeal, marketplace alternatives, and challenges. Finally, in the discussion, the essay summarizes the overall concept and outlines its …

Free Ebook! Research And Reflections On Southeast Asian American Education And Advancement, Wayne E. Wright

Journal of Southeast Asian American Education and Advancement

Free eBook available:

• Purdue University Press (PDF and EPUB formats)
• Amazon (Kindle version)

Co-edited by our JSAAEA Editorial Team, this book is in commemoration of the 20^th Anniversary of the Journal of Southeast Asian American Education and Advancement (JSAAEA) and the 50^th Anniversary of Southeast Asian refugee resettlement in the United States. A paperback version is also available.

This special collection celebrates the contributions of scholars whose works focus on Southeast Asian American (SEAA) issues and highlights empirical research, book reviews, and creative works from SEAA scholars and community leaders whose voices have been prominent in the journal …

Understanding Mental Wellness In Collegiate Pilots: The Interplay Of Fatigue, Sleep, And Health-Promoting Behaviors, Flavio Antonio Coimbra Mendonca, Samantha Bowyer, Carolina Anderson, Bill Deng Pan

Journal of Aviation Technology and Engineering

This study investigates patterns of fatigue severity, sleep hygiene, daytime sleepiness, and health-promoting lifestyle behaviors and examine the interrelationships among these factors in collegiate aviation students. Participants included undergraduate professional pilot students enrolled in a Code of Federal Regulations Part 141 four-year aviation degree program in the southeastern United States (N = 82).

Participants completed four validated self-report instruments: the Fatigue Severity Scale, the Sleep Hygiene Index, the Epworth Sleepiness Scale, and the Health-Promoting Lifestyle Profile II. Descriptive analyses were conducted to characterize the results of each assessment, and Pearson correlations and multiple regression analyses were performed to examine intervariable …

The Lessons I Never Took, Nadia Luong

Journal of Southeast Asian American Education and Advancement

“The Lessons I Never Took” is a lyric poem rooted in the author’s experience growing up as a first-generation Cambodian American child in an immigrant family. The poem examines how socioeconomic hardship and language brokering shape a child’s relationship to desire, responsibility, and unrealized possibility. While other children receive formal lessons that allow their interests and talents to be discovered, the speaker develops unrecognized interpretive skill by helping her parents navigate English-speaking institutions. Without assigning blame, the poem holds parental sacrifice and childhood loss together, revealing how survival can limit not only access to enrichment but also a child’s opportunity …

A Collaborative Autoethnography Of Southeast Asian American Women Doctoral Students Navigating Tensions And Building Resolve In The Academy, Jacqueline Mac, Varaxy Yi, Vanessa Na, Latana Thaviseth

Journal of Southeast Asian American Education and Advancement

This critical race collaborative autoethnography explores the experiences of Southeast Asian American (SEAA) women in doctoral programs in higher education. Using a feminist refugee Asian critical approach, findings illuminate tensions that SEAA women encountered during their educational experiences and how these women built resolve. Findings include being seen amidst the invisibilization of SEAA identities, an insistence on the value of their SEAA research agendas, and navigating the unsettled emotions during academic displacement.

Translating Higher Education Into Vietnamese: An Applied Linguistics Approach To Language Equity And Higher Education Access, Z.W. Taylor, Alan Do, Jase Kugiya, Tuan Le

Journal of Southeast Asian American Education and Advancement

One growing population of non-native English speakers in the U.S. education system are native Vietnamese speakers, yet no studies have examined how higher education communication could be made more accessible for Vietnamese speakers. As a result, this case study reports on human and machine translational linguistics work conducted in partnership with the University of Iowa focused on simplifying and translating English enrollment management information into Vietnamese. Findings suggest that the institution increased the clarity and accessibility of enrollment management information by using second-person pronouns, shorter sentence structures, clearer diction, and explanations of institution-specific jargon. Moreover, analyses of machine and human …

Creating Business Teaching Cases With Deep Research Ai: The Lov Ai Co-Creation Approach, David Grundy

International Journal of Teaching and Learning in Higher Education

This paper examines the use of generative artificial intelligence in the development of teaching cases for MBA programs. The study introduces the Lecturer Oversight and Verification of AI (LOV AI) Co-Creation Approach, which integrates the ChatGPT 5.2 Thinking Deep Research model with structured subject expert supervision to produce teaching extended case studies and related teaching materials. The model is implemented through a multi-step process. First, specific prompts are used to identify and select potential case topics that align with required syllabus objectives. Next, the AI model generates extensive drafts that include narratives, background information, and supporting data for each case. …

Faculty Insights On Teaching Self-Determination Skills In Postsecondary Education, Jacqueline Lubin

International Journal of Teaching and Learning in Higher Education

While self-determination skills may serve as a predictor of success in higher education, limited research exists on faculty attitudes toward teaching these skills to students with and without disabilities. Therefore, the purpose of this study was to examine faculty’s knowledge of self-determination and perception of teaching self-determination skills to all college students. The data were analyzed using descriptive statistics and multivariate analysis of variance. Findings indicated that while the majority of participants were familiar with the term “self-determination,” and recognized its instructional value, their responses varied on their likelihood to teach skills. On average, faculty reported being somewhat likely to …

Say What You Know: Administering Group Oral Examinations In Undergraduate And Graduate Courses, Lenore Wright, Andrew Arterbury

International Journal of Teaching and Learning in Higher Education

or more than two decades, university professors at the institute of study have implemented group oral examinations as a summative assessment strategy within their courses. This essay offers a critical reflection on the pedagogical benefits of this format, examining its impact on both instructors and students, while also addressing the practical and logistical challenges encountered in its sustained use. In the context of the rapid proliferation of artificial intelligence and the corresponding complications it introduces for traditional assessment practices, the authors argue that group oral examinations have gained renewed significance. Specifically, they highlight the capacity of this approach to promote …

Contextualizing Second Language Anxiety In Multilingual Higher Education: Classroom Conditions And Clinical Settings, Busayo O. Ige

International Journal of Teaching and Learning in Higher Education

In South African universities, multilingual students whose first language is not English face distinct challenges that impact academic participation and success. This qualitative study examines how second language (L2) anxiety shapes first-year students’ classroom and clinical experiences at the University of Cape Town. Drawing on open-ended survey data, the study reveals that fear of negative evaluation, communicative apprehension, and prevailing language ideologies contribute to students’ reluctance to speak, feelings of invisibility, and withdrawal from engagement. Although anxiety tends to lessen over time, it rarely disappears completely. Notably, students experienced anxiety differently across settings: classroom discussions elicited greater fear and self-censorship, …

Academic Development As Mentoring In Online Education: Perspectives From Australia., Bopelo Boitshwarelo Dr, Claire Aitchison Dr

International Journal of Teaching and Learning in Higher Education

In recent years, Australian universities have intensified efforts to respond to the growing demand for remote and online study. This shift has underscored the need for academics who are appropriately prepared to design, develop, deliver, and evaluate high-quality online courses. Mentoring represents a key practice that can support the development of such expertise. However, formalized and well-established mentoring practices are not consistently present across Australian higher education institutions. In contrast, most universities maintain academic development units tasked with enhancing teaching capacity, particularly in relation to online learning. This paper conceptualizes aspects of academic development practice as a form of mentoring. …

From Reflection To Confidence: Student Career Self-Efficacy In Course-Embedded Career Learning At A Minority-Serving Institution, Elizabeth J. Muniz, Isaura B. Flores-Breeze

International Journal of Teaching and Learning in Higher Education

From Reflection to Confidence: Student Career Self-Efficacy in Course-Embedded Career Learning at a Minority-Serving Institution

Abstract

This study examines undergraduate students’ career decision-making self-efficacy and related performance indicators within course-integrated career readiness assignments at a Hispanic- and minority-serving institution. As higher education institutions seek scalable approaches to workforce preparation, embedding career development into credit-bearing coursework may offer more equitable access to professional learning opportunities, particularly for students at Minority-Serving Institutions. Guided by Bandura’s theory of self-efficacy and the career decision-making self-efficacy framework, this evaluation study analyzes descriptive data from faculty-rated rubric summaries across multiple course-integrated assignments (assignment-level sample sizes varied) …

How Planning For Engineering Instruction Supported Culturally Responsive-Sustaining Pedagogy For Prek–12 Teachers, Kristen V. Napolitano, Amanda M. Gunning, Meghan E. Marrero

Journal of Pre-College Engineering Education Research (J-PEER)

With the wide adoption of the Next Generation Science Standards across the United States and an increased focus on growing a diverse engineering workforce, learning to teach precollege engineering has become more important than ever. Yet limited precollege engineering certification pathway exists, leaving preK–12 teachers to integrate engineering with few resources or professional learning support. In high-need districts, where teachers are already underresourced and stretched thin, engineering may not make its way into the classroom at all. As a result, access to engineering and other STEM opportunities is disproportionately low among Black and Brown and/or low-income students in these communities, …

Learning Engineering Design Through Making: Affordances Of A Nonformal Tinkering Environment, Cristina Simarro, Digna Couso

Journal of Pre-College Engineering Education Research (J-PEER)

The maker movement has been increasingly adopted as a means for promoting interdisciplinary approaches to STEM learning. However, empirical evidence regarding how making supports the development of engineering design skills remains limited and inconclusive. This study provides an in-depth examination of a nonformal educational initiative grounded in tinkering, a creative and improvisational subset of making, by analyzing the tasks undertaken by primary school children in a tinkering setting. Our results confirm the capacity of tinkering activities to foster specific engineering design practices and elucidate the interrelationships between them. Furthermore, the findings highlight the potential of such approaches to facilitate the …

Nci Research Impact And Expertise With Bibliometric Data, Senay Purzer, Wei Zakharov, Carla B. Zoltowski

Supplementary Content for Stewards of Data: A Practical Handbook for Undergraduate Researchers in Engineering and Applied Sciences

This poster explores NCI research impact and expertise with bibliometric data. This book was published by the Purdue University Press. Copyright 2026. Permission: Courtesy of Colin Roberson, Lonnie Schwartz, Vineeth Narra, and Pete E. Pascuzzi.

Instruction Guide, Mark C. Hall

Analytical Biochemistry: A Practical Handbook for Undergraduates

The instruction guide provides useful information for setting up and running the lab activities each week and assessing student preparation, performance, and comprehension.

Evaluating Engagement-Based Learning Opportunities In Undergraduate Manufacturing Education, Salil Bapat, Ajay P. Malshe

MMRL-XMO Industrial Seminar

This paper presents an engagement-based learning framework implemented in an undergraduate mechanical engineering course on additive manufacturing, with a specific focus on metal additive manufacturing (AM). The course integrated in-class discussion of AM fundamentals, discussing processes, materials, and designs with parallel semester-long team-based activities for encouraging and increasing hands-on student engagement. The paper specifically elaborates on the implementation of the project activity, focused on the design and manufacturing of bio-inspired lightweight lattice structures. The outcomes and reflections demonstrate the effectiveness of this approach in enhancing student engagement and complement the in-class lectures while also presenting future opportunities for improvements. This …

Bioinspired Lightweight Lattices For Thermal Management And Structural Stiffness: A Simulation Study, Shivani Pandit, Vinay Kenny, Salil Bapat, Ajay Malshe

MMRL-XMO Industrial Seminar

The evolution of lightweight biological structures for thermal regulation and structural stiffness, driven by multifunctionality requirements and ecological environments, provides a valuable blueprint for the development of lattice structures capable of both heat dissipation and mass reduction. Biological systems such as butterfly wing scales, weevil exoskeleton, toucan beak, pomelo peel, and other hierarchical porous morphologies exhibit highly optimized geometries that balance thermal management, mechanical performance, and lightweighting. Engineering lattice structures, including both strut-based and surface-based lattice topologies, offer analogous design strategies that can replicate these biological functionalities while remaining tailorable to not only the functionality and application-specific requirements but also …

Microstructure And Mechanical Behavior Of High Strength Additive Alloys With Nanoscale Precipitates, Hyeongseob Kim, Emiliano Flores, Xinghang Zhang

MMRL-XMO Industrial Seminar

This review highlights how additive manufacturing (AM) enables the formation of metastable nanoscale precipitates through rapid nonequilibrium solidification and cyclic thermal histories, leading to mechanical properties unattainable by conventional processing. Recent advances in AM Al- and Ni-based alloys are discussed with emphasis on the relationship between nanoscale heterogeneity and deformation behavior. In Al alloys, nanolamellar intermetallic architectures generate strong heterostructure-induced back stresses and enable ultrahigh compressive strengths approaching 1 GPa while maintaining deformability. In Ni-based systems, in situ oxide nanoprecipitates improve high-temperature mechanical behavior of 718 Ni alloys, while nanoprecipitate evolution in Haynes 230 Ni alloys promotes deformation twinning. These …

Powder Metal Characterization For Additive Manufacturing, Paul Mort, Donovan Stumpf, Rajeshree Varma, Dina Khattab, Xiaoling Shen, Michael Titus, Michael Sealy, Jeff Jaworek, Jake Kim, Langdon Feltner

MMRL-XMO Industrial Seminar

Powder characterization is important for specification and qualification of powder feedstock materials used in powder-bed additive manufacturing.  Characteristics include both distributed properties (i.e., particle morphology, size, shape, curvature distributions) as well as ensemble behavior including flow, spread-ability, and packing.  Ensemble behavior is highly sensitive to boundary conditions in thin-layer processing, for example as required for additive manufacturing, thin-layer calendaring for dry-cathode processing, and many tribology-related applications.  Particulate flow and packing are inherently multi-body ensemble processes; the distributed characteristics of particulates comprise said multi-body effects. Characterization of powder feedstock is important for manufacturing process control, resource efficiency, and product quality.  This …

Generative Ai For Decision Making In The Manufacturing Systems, Xingyu Li

MMRL-XMO Industrial Seminar

Manufacturing systems increasingly demand real-time, multi-objective, and human-aligned decision-making that existing approaches cannot provide. In this study, we introduce the Generative Manufacturing System (GMS), a paradigm that reframes manufacturing decisions as samples from a learned conditional distribution, replacing inference-time search in the existing optimization-based approaches. Two instantiation examples are presented in manufacturing decision-making, including layout design and production scheduling, using domain-adapted diffusion models conditioned on operational constraints and human preferences. Experiments demonstrate 100% feasibility, near-zero objective matching error, and 25x decision making speed gain, establishing generative AI as a scalable, efficient, and human-centric decision-making engine for modern manufacturing systems.

Hybrid Bio-Inspired Design Approach For Lightweighting In Additive Manufacturing: A Feasibility Study, Ryan Capstick, Shivani P. Pandit, Salil Bapat

MMRL-XMO Industrial Seminar

This paper explores the feasibility of extracting biological design information from multiple species for manufacturing functional lightweight architectures. Biology offers a vast range of designs, materials, and organizational strategies to achieve these goals. Over the past few years, additive manufacturing (AM) has been increasingly applied to manufacture various bio-inspired lattice geometries. Commonly, this approach involves taking inspiration from one specific biological example for manufacturing and testing. However, converging multiple biological design ideas into a single engineering structure for manufacturing is rarely reported. In this work, design inspirations from two biological species (cuttlefish and mantis shrimp) are combined to model various …

A Generalized Real-Time Geometric Virtualization Of Material Removal Processes For A Factory Digital Twin Platform, Jongwoo Han, Chang Hyeon Mun, Martin Byung-Guk Jun, Hyung Wook Park

MMRL-XMO Industrial Seminar

As the transition toward autonomous smart factories and Cyber-Physical Production Systems (CPPS) accelerates, real-time digital twin implementation of manufacturing processes has emerged as a critical enabling technology. However, existing virtualization approaches present fundamental limitations: mesh-based Boolean methods are computationally infeasible for real-time processing due to their CPU-bound operations, while pure voxel-based methods suffer from staircase artifacts at geometric boundaries and exhibit exponentially increasing computational demands as resolution improves. To overcome these limitations, this paper proposes a GPU-accelerated real-time geometric virtualization method combining Signed Distance Field (SDF) with the Marching Cubes algorithm. The proposed method executes massively parallel SDF subtractive operations …

Programmable Hybrid And Gradient Constant Mean Curvatures For High-Performance Multifunctional Mechanical Metamaterials, Ajith Annavajhula, Gary J. Cheng

MMRL-XMO Industrial Seminar

Architected solids that combine high stiffness, strength, toughness, and ductility in one geometry are difficult to manufacture without specialised feedstocks or sequential consolidation. Two complementary architectures are built here from a single curvature-programmed building-block library of four constant-mean-curvature (CMC) shell topologies — Schwarz Primitive (SP), Schwarz Diamond (SD), Schoen's I-WP, and FRD — that share commensurate cubic facets and admit C0 /C1 /C2 continuity at every interface. Multi-objective hybridisation gives an open-cell metamaterial with specific axial stiffness E*/ρ* = 63.6 GPa·cm3 ·g-1 and specific peak compressive stress σpeak/ρ* = 416.9 MPa·cm3 ·g-1, exceeding the I-WP single family by 40% in …

An Automated Construction Framework For Immersive Digital Twins With Ground-Based Cad Pose Estimation, Huichan Park, Yuseop Sim, Byoungkwon Yoon, Asif Tanveer, Martin Byung-Guk Jun, Sang Won Lee

MMRL-XMO Industrial Seminar

This paper presents an automated workflow for constructing an immersive digital twin by combining multimodal field sensing, ground-based CAD-to-point-cloud registration, and physics engine-based scene generation. To reduce human intervention during digital twin construction, the proposed pipeline estimates machine poses by registering CAD-derived point clouds to a colorized point cloud map. Instead of relying on unconstrained six-degree-of-freedom point cloud registration algorithms, such as Iterative Closest Point (ICP) or TEASER++, the proposed method detects the ground plane, reduces the search space to planar translation and yaw, and applies coarse-to-fine slicing followed by 3-DoF planar ICP refinement. The method was evaluated using two …

Real-Time Two-Stage Machine Sound Monitoring For Wire-Edm State Recognition, Yuseop Sim, Yonghyun Lee, Edgar James Yother, Duju Lee, Hojun Lee, Byoungkwon Yoon, Asif Tanveer, Martin Byung-Guk Jun

MMRL-XMO Industrial Seminar

Operational state monitoring is critical for assessing machine utilization and reducing downtime in smart manufacturing. However, many Wire Electrical Discharge Machining (Wire EDM) systems remain legacy machines with limited access to controller-level data, making non-invasive sensing approaches necessary. This study proposes a lightweight two-stage sound-based operational state monitoring framework using an Internal Sound Sensor (ISS) and a 1D convolutional neural network (CNN). The ISS, built around a stethoscope-inspired bell structure, captures machine-specific acoustic signatures while suppressing ambient machine-shop noise and spark-related acoustic interference. The proposed framework classifies machine states in two stages: Stage 1 identifies coarse states such as beep, …

Development Of Scalable Fsr Sensor Array-Based Human Footprint Acquisition Module For Manufacturing Automation, Hangyeom Lee, Yuseop Sim, Hojun Lee, Byoungkwon Yoon, Martin Byung-Guk Jun

MMRL-XMO Industrial Seminar

As human-robot collaboration becomes increasingly prevalent in modern industrial automation, optimizing mobile robot navigation to align with human spatial preferences is essential for efficient workflows. Conventional spatial tracking modalities, such as vision, LiDAR, and Inertial Measurement Units (IMUs), face several limitations in factory environments due to visual occlusion, variable lighting, and accumulated signal drift. To overcome these environmental interferences, this paper proposes a scalable and versatile human footprint acquisition module based on a Force Sensitive Resistor (FSR) sensor array. This presented architecture utilizes a modular grid of FSR sensors integrated with embedded Microcontroller Units (MCUs) and Data Acquisition (DAQ) modules, …

Development Of A Cold Spray-Based Dry Manufacturing Process For Lfp Battery Cathode, Hayoung Jeong, Martin Byung-Guk Jun

MMRL-XMO Industrial Seminar

Conventional lithium-ion battery cathodes are typically fabricated through slurry-based processing, which requires organic solvents, coating, drying, and post-processing steps. Although this process is widely used, the use of toxic solvents such as N-methyl-2-pyrrolidone and the long drying process increases manufacturing complexity, energy consumption, and environmental burden. In this work, a cold spray-based solvent-free process was investigated as a one-step route for fabricating lithium iron phosphate cathode layers. A representative cathode composite powder consisting of lithium iron phosphate, carbon black, and polyvinylidene fluoride was prepared with a weight ratio of 10:1:1. To improve powder feeding behavior, 0.1 wt% fumed silica was …

Rgb-D Object Pose Estimation Via Sam2 Segmentation And Coarse-To-Fine Point Cloud Registration, Daniel Sungwoo Bae, Changheon Han, Hangyeom Lee, Hojun Lee, Martin Byung-Guk Jun

MMRL-XMO Industrial Seminar

Precise estimation of a workpiece’s position and orientation is indispensable for advanced robotic automation in a smart manufacturing setting, where robotic manufacturing tasks such as welding, spraying, and assembly must be performed on complex three-dimensional components with higher adaptability and guaranteed repeatability. In response to such requirements, this paper presents an integrated vision-based pipeline for object 6D pose estimation using an RGB-D camera mounted on a collaborative robot arm (FANUC CRX-10iA/L). The proposed system applies the Segment Anything Model 2 (SAM2) to isolate the target object from a single RGB frame via a single point prompt, generating a segmentation mask …

An Llm-Based Multi-Agent System For Manufacturing Decision Support: Material–Process Recommendation And Process Parameter Optimization, Geonhwi Lee, Yulseok Byun, Seungjae Han, Martin Byung-Guk Jun, Hae-Jin Choi

MMRL-XMO Industrial Seminar

As product fabrication environments become increasingly diverse, there is a growing need for decision support that connects users’ fabrication intents and requirements to appropriate manufacturing conditions. In this study, we propose an LLM-based multi-agent system for manufacturing decision support that systematically supports material and process recommendation, equipment selection, process parameter optimization, and result prediction. The proposed system utilizes manufacturing literature and technical documents through RAG-based manufacturing knowledge retrieval and excludes low-relevance documents before response generation by verifying the relevance of retrieved documents to the user query. In addition, it explores support relationships among materials, processes, and equipment based on a …