Digital Commons Network^™

Crushing Behavior Of Crash Boxes With Hybrid Honeycomb–Auxetic Fillers: Effects Of Architecture, Geometry, And Material Behaviors, A. Yudhanto, A. Jusuf, L. D. Lumanauw, M. Falyanzhuri, A. Afdhal

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Additively manufactured (AM) fillers provide new opportunities to tailor the crushing response and energy absorption of thin-walled metallic crash boxes. This study presents a combined experimental–numerical investigation of hexagonal AA6063-T4 crash boxes filled with architected structures, i.e., honeycomb, auxetic-reentrant, and hybrid honeycomb–auxetic topology. The hybrid configuration, which integrates cells with positive and negative Poisson's ratios, triggers coordinated mechanisms (that enhance folding behavior and collapse control) unattainable via single topology. Quasi-static axial compression tests were conducted to characterize force–displacement curves, deformation mechanisms, energy absorption (EA), and specific energy absorption (SEA). Finite element models developed in the explicit solver LS-DYNA were employed …

Prototyping Pinhole Collimators For Imaging Irradiated Nuclear Fuel, Narrie Loftus, Ashish Avachat, Joseph T. Graham, Ryan Fronk, Jordan Fox, Rachel Shaffer, Seth Kilby

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Collimator design and fabrication is a costly and time-consuming process that does not lend itself to simplified testing. This manuscript presents an approach for the rapid prototyping of sub-millimeter pinhole collimators for nuclear fuel applications using low-melting-point, high-mass-density materials. Multiple collimators were fabricated to test collimator parameters and properties, including acceptance angle, aperture diameter, and magnification. The fabricated collimators were paired with a position-sensitive CdZnTe detector to determine the detector response convolved with the collimator. Preliminary analysis using these collimators showed that they were effective in collimating multi-energy gamma laboratory sources. Radiography was performed to confirm magnification and determine coarse …

Differences In Infection Prevention And Control Staffing Between Free-Standing And System-Affiliated Hospitals: A National Survey., Lucas Philip, Vittorio Maio, Pamela De Cordova, Elizabeth Monsees, Raegan Davis, Pat Moeller, Andrew Dick, Scott W Keith, Monika Pogorzelska-Maziarz

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Infection prevention and control (IPC) staffing varies across US hospitals, and traditional bed-based benchmarks may no longer reflect contemporary workloads or organizational structures. With most hospitals now system-affiliated, understanding how affiliation influences infection preventionist (IP) staffing is critical for modernizing guidance.

METHODS: A national survey was distributed to US acute care hospitals participating in the National Healthcare Safety Network (NHSN) from August to December 2023, assessing IPC staffing, resource availability, and organizational structure. Hospitals were categorized as free-standing or system-affiliated; differences were assessed with Wilcoxon rank-sum and chi-square tests.

RESULTS: Of 741 responding hospitals, 550 (74%) were system-affiliated and …

Lrq-Solver: A Transformer-Based Neural Operator For Fast And Accurate Solving Of Large-Scale 3d Pdes, Peijian Zeng, Guan Wang, Haohao Gu, Xiaoguang Hu, Tiezhu Gao, Zhuowei Wang, Aimin Yang, Xiaoyu Song

Electrical and Computer Engineering Faculty Publications and Presentations

Solving large-scale PDEs on complex three-dimensional geometries remains a central challenge in scientific and engineering computing, often due to expensive pre-processing stages and high computational overhead. We present Low-Rank Query-based PDE Solver (LRQ-Solver), a physics-integrated deep learning framework for efficient CAE simulations of complex three-dimensional geometries in CAD-driven design analysis. Built upon the Parameter-Conditioned Lagrangian Modeling (PCLM) that embeds physical consistency into the learning process and the Low-Rank Query Attention (LR-QA) module that reduces attention complexity from O(N2) to O(NC2+C3) via covariance decomposition, LRQ-Solver supports multi-configuration analysis within iterative design workflows. On two benchmark datasets, it achieves a 28.6% error …

Emotional Urgency And Lack Of Perseverance Are Linked To Anxiety Sensitivity And Improve During Early Recovery From Opioid Use Disorder., Breanna A. Mcnaughton-Long, Abigail J. Pleiman, Carmen Buchfink, Chrysantha B. Davis, Rayus Kuplicki, Martin P. Paulus, Hung-Wen Yeh, Maëlle C M Gueguen, Jennifer L. Stewart

Manuscripts, Articles, Book Chapters and Other Papers

Few studies have identified how facets of impulsivity relate to recovery in opioid use disorder (OUD). Treatment-enrolled individuals with OUD (n = 167) and healthy controls (CTL; n = 46) completed the Urgency, Premeditation, Perseverance, Sensation Seeking, Positive Urgency (UPPS-P) Impulsive Behavior Scale along with demographic and clinical measures at visit 1. Over the next three months, abstinence and return to use were documented for participants with OUD (via self-report, alcohol breathalyzer, urine drug screen, and secondary contact communication). Participants with OUD who returned to use (n = 59) did not complete further study visits, whereas those who remained abstinent …

Climate Transition Stress Testing For Corporate Credit Risk: A Replicable Data-Mining Pipeline Using Esg Risk Scores, Huynh Long Hung Nguyen, Alan @ Ali Madjelisi Megargel, Rajesh Krishna Balan, Paul Robert Griffin

Research Collection School Of Computing and Information Systems

We present a replicable data-mining pipeline for illustrative, scenario-conditioned corporate distress analysis under feature decoupling. The pipeline links Compustat financial statements with Sustainalytics ESG Risk Rating records for 2,144 U.S. non-financial public firms, constructs a standardized Transition Risk Index (TRI), estimates a contemporaneous accounting-distress classifier, and applies transparent transition-cost sensitivities. Distress is defined as annual operating income insufficient to cover annual interest expense; interest coverage itself is excluded from the predictors. The resulting model is not a forward default forecast or a regulatory probability-of-default model. On a held-out cross-sectional test set, the logistic specification obtains AUC 0.909, PR-AUC 0.822, and …

Tiny Large Language Models For Iot Networks: Potentials And Challenges, Muhammed Golec, Suhib Bani Melhem, Yaser Khamayseh, Abdulmalik Alwarafy, Naofal Al-Dhahir

All Works

Large Language Models (LLM), which have gained great momentum in recent years, have revolutionized the field of Artificial Intelligence (AI); while their applicability for hardware-constrained Internet of Things (IoT) environments has begun to be questioned. This has led to the emergence of compact architecture and resource-efficient Tiny LLM models. This survey paper systematically examines Tiny LLMs for IoT networks and classifies existing approaches in five basic dimensions: model architectures, optimization strategies, transfer learning methods, deployment paradigms, and explainability-security integration. By applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method, 139 related studies published between 2020 and 2025 …

The Unacknowledged Challenge Of Moral Distress For Nurse Academics, Adam Burston, Glenna Mae Guiriba, Meena Gupta, Sara Bayes

Research outputs 2022 to 2026

The pluralistic nature of healthcare presents nurses with situations challenging their moral values which nurses must navigate. Challenges to moral values can result in the experience of moral distress, a problem that is common within the clinical nursing context. Moral distress is a known and well-researched phenomenon within nursing and has long contributed to detrimental effects such as frustration, anger, anxiety, decreased job satisfaction, burnout and ultimately attrition. However, despite extensive research in clinical environments, minimal research exists detailing this concept within the context of nursing academics and educators. Nurses can experience moral distress if they are in or exposed …

Decision Delegation To Genai Agents In Travel Planning: Responsible Ai Signals, Delegation Levels, And The Transparency Paradox, Sanjit K. Roy, Gaganpreet Singh, S. Mostafa Rasoolimanesh, Ronnie Das, Ali N. Tehrani

Research outputs 2022 to 2026

Generative Artificial Intelligence (GenAI) is becoming an integral part of travel planning. This fundamental transformation is changing the definition of travel decision delegation, calling for fresh research into responsible AI in tourism. Drawing on agency theory, trust theory and decision delegation framework, this study conceptualises five responsible AI characteristics (reliability, fairness, trustworthiness, accountability, transparency) as evaluative signals for travellers to assess GenAI across three decision delegation levels, i.e., attribute set, choice set, and final decision. Using a multi-method approach, we analyse data collected from 421 travellers. Findings suggest that reliability and accountability are consistent drivers of delegation across all levels, …

Electrochemical Behavior Of Passive Film On Electron Beam Powder Bed Fusion Fabricated Ti-6al-4v Alloy Under Uniaxial Tensile Stress, Hongyu Zheng, Mengdi Yan, Yun Bai, Qian Wang, Lai-Chang Zhang, Jin Xu, Hao Wang, Yingjie Ma, Shujun Li, Rui Yang

Research outputs 2022 to 2026

As medical titanium alloys inevitably undergo synergistic actions of stress and corrosion in human body, a comprehensive investigation of their relevant properties is deemed essential for ensuring their safe application. This work investigates the uniaxial tensile stress electrochemical behaviour of Ti-6Al-4V alloy fabricated by electron beam powder bed fusion under simulated implantation conditions. The results indicate that tensile stress facilitates rapid formation of a dense passive film, which contains a high proportion of high-valent oxides. As the passivation process proceeds, applied stress promotes more defects accumulation in the passive film, compromising its barrier function and reducing corrosion resistance. Under sustained …

Effective Strategy For Preparing Low-Curing-Temperature Lignin-Based Non-Isocyanate Polyurethane Wood Adhesives, John Tosin Aladejana, Ion Olazabal, Arantxa Eceiza, Reza Hosseinpourpia

Michigan Tech Publications

Non-isocyanate polyurethanes (NIPUs) have been identified as a bio-based alternative to hazardous isocyanate-based polyurethanes. NIPU exhibits outstanding performance in polymer bonding, but its application in the plywood industry is questioned due to its relatively high curing temperature, typically above 180 °C. This study explored a unique method for producing NIPU adhesives through amination of lignin (LA), followed by quinone formation via disruption of condensed tannins with sodium periodate, and then methoxycarbonylation with dimethyl carbonate (TOC). LA and TOC were mixed in an alkaline medium to produce LT-NIPU adhesives (control sample) via urethane linkage formation, followed by reinforcement with microcrystalline cellulose …

Strengthening The Science And Practice Of Accreditation And Quality Improvement, Jason C. Booza, Raquel Hernández Givens

Journal of Accreditation and Quality Improvement in Medical Education

This editorial welcomes readers to the inaugural issue of the Journal of Accreditation and Quality Improvement in Medical Education (JAQI).

Meet The Board: A Jaqi Rountable, Ashley Gregory

Journal of Accreditation and Quality Improvement in Medical Education

This roundtable introduces readers to the founding members of the Journal of Accreditation and Quality Improvement in Medical Education's editorial board. Through their reflections, readers will gain insight into the experiences, interested, and aspirations that collectively inform the journal's mission and strategic direction.

Students Drive Cqi In Step 1 Support Using The After-Action Review: A Replicable Model For Student Engagement In Accreditation-Driven Quality Improvement, Lauren B. Stumpp, Abigail Yohannes, Greg Null, Allison Serra

Journal of Accreditation and Quality Improvement in Medical Education

Background. Medical schools increasingly recognize the importance of engaging students in continuous quality improvement (CQI) processes, yet most institutions rely primarily on surveys that offer limited depth and no leadership role for students. This study describes a student-led CQI model combining a structured survey instrument with the After-Action Review (AAR) framework, implemented across two consecutive cohorts at the University of Pittsburgh School of Medicine.

Methods. Students who completed the United States Medical Licensing Examination (USMLE) Step 1 in 2023 and 2024 were invited to complete a survey evaluating school-provided academic, emotional, and decision-support resources. Following each survey, 12 and 14 …

Mission Seemingly Impossible: Student Satisfaction With Time For Self-Directed Learning, Sara Bradley, Robyn Bockrath, Mara Johnson, Celia Laird O'Brien

Journal of Accreditation and Quality Improvement in Medical Education

Background. Medical schools accredited by the Liaison Committee on Medical Education (LCME) are often required to demonstrate improvement on accreditation elements in a relatively short amount of time. In October 2021, the LCME cited our institution as Unsatisfactory for the self-directed learning (SDL) element after 21.3% of second-year medical (M2) students reported dissatisfaction with unscheduled time for SDL. The LCME required us to demonstrate improvement in a status update due December 2022. In this paper, we describe a rapid continuous quality improvement (CQI) approach that successfully increased student satisfaction and achieved full compliance within 1 year.

Methods. We employed a …

Front Matter, Jason C. Booza, Raquel Hernández Givens

Journal of Accreditation and Quality Improvement in Medical Education

Front matter for the Journal of Accreditation and Quality Improvement in Medical Education, Volume 1, Issue 1, Fall 2026.

A Community's Next Chapter: Introducing The Journal Of Accreditation And Quality Improvement In Medical Education, Melisa Pierce, Jason Booza, Colleen Hayden

Journal of Accreditation and Quality Improvement in Medical Education

No abstract provided.

Inclusive Education In Diverse Societies: Three Decades After The Salamanca Statement, From Disability Inclusion To The Recognition Of Student Diversity, Farida Kurniawati

Psychological Research on Urban Society

Inclusive Education in Diverse Societies: Three Decades after the Salamanca Statement, from Disability Inclusion to the Recognition of Student Diversity

Unlocking Affixes In The Esl Community College Classroom: The Language Of Law, Science, And Technology, Patricia George-Hunter Edd

Journal of English Learner Education

Since vocabulary plays a significant role in second language acquisition, expansive vocabulary targets should be set and pursued. This paper explores the results of introducing affixes to develop vocabulary and increase motivation for beginner to intermediate-level English language learners (ELLs) pursuing academic disciplines in law, science, and technology at a New York City community college. Participants included 23 ELLs with diverse linguistic, educational, and sociocultural backgrounds enrolled in an online synchronous Integrative Language Seminar (ILS) designed to develop all areas of English language proficiency. Pre‑, post‑, delayed tests, questionnaires, and post‑intervention interviews were conducted and analyzed to establish the language …

Math Language Acquisition And Improving English Language Learners’ Ability To Understand And Solve Math Word Problems, Crystal L. Gammon, Jillian Skelton

Journal of English Learner Education

The purpose of this qualitative study was to explore third- through fifth-grade teachers’ perceptions of effective vocabulary instruction and collaboration practices used to support English Language Learners (ELLs) in understanding, discussing, and solving math word problems. The problem addressed was that ELL students in rural southeastern U.S. school districts were not achieving mathematics proficiency at the same rate as their native English-speaking peers, particularly when solving word problems requiring academic language comprehension. The findings revealed that teachers viewed math vocabulary instruction as essential for closing academic gaps while also identifying vocabulary as a major barrier when it was not explicitly …

Making The Implicit Explicit For Multilingual Learners: A Language-Based Framework For Literacy Development, Luciana C. De Oliveira

Journal of English Learner Education

Literacy is fundamentally an act of meaning-making that requires bridging micro-level linguistic choices with macro-level text structures across genres. Current literacy policies dominated by Science of Reading (SoR) mandates often overemphasize isolated, word-level foundational skills. This narrow focus creates a one-size-fits-all model that reduces reading to the level of individual words, not appropriate for multilingual learners (MLs) who require access to dense, specialized disciplinary discourse. This article proposes an intentional, language-based literacy framework designed to build high-challenge, high-support classrooms for MLs without lowering academic expectations. Integrating genre-based pedagogy through the Teaching and Learning Cycle (TLC) with the mode continuum, the …

Race, Embodiment, And Professionalism: A Critical Intersectional Analysis Of Brazilian Sign Language Interpreting, Roberto César Reis Da Costa, Sheila Santos

Journal of Interpretation

This paper investigates the intersections of race, corporate professionalism, and somatic regulation within Brazilian Sign Language (Libras) translation and interpretation. While traditional translation scholarship prioritizes linguistic neutrality, this study employs an interdisciplinary critical methodology combining Critical Race Theory (CRT), Critical Discourse Analysis (CDA), and Translation and Interpreting Studies (TIS) to deconstruct how standard professional aesthetics inadvertently sustain systemic racism and Eurocentric cultural erasure. Utilizing a textual deconstruction of Article 5 of the National Libras Code of Ethics alongside an autoethnographic mapping of workplace visual ergonomics, we examine how racialized aesthetic expectations regulate and pathologize cultural markers such as braided hairstyles, …

An Exploratory Case Study Of Accredited Interpreter Education Programs In The United States, Len Roberson, Sherry Shaw, Carolyn Ball, Sierra A.W. Rance

Journal of Interpretation

This exploratory qualitative case study examines how undergraduate signed language interpreter education programs accredited by the Commission on Collegiate Interpreter Education (CCIE) maintain programmatic distinctiveness while complying with shared accreditation standards. Drawing on document analysis and semi-structured interviews with program directors from all 19 CCIE-accredited programs in the United States, the study investigates institutional, curricular, and contextual variables that contribute to successful accreditation and program sustainability. The study analyzed publicly available documents alongside interview data to identify commonalities and variations across programs in areas such as curriculum design, faculty composition, admissions and progression requirements, field experience, and institutional support. Findings …

Sequential And Global Learning In Signed Language Interpreter Education, Heather A. Turell

Journal of Interpretation

Cognitive styles (Joughin, 1992) have been described as the means by which human beings prefer to learn. While cognitive styles and activities to support specific cognitive styles have been explored in various arenas of adult learning, they have yet to be applied to interpreter education. To explore this further, a pilot test was conducted to determine if the interpreting training activities designed for global and sequential learners aligned with their expressed preference for global or sequential learning tasks. Four student interpreters participated in the study. To establish the participants’ cognitive styles, they completed a learning styles questionnaire. Participants were then …

Toward Cross-Cultural Assessment Of Career Anxiety: Psychometric Validation Of The Career Anxiety Scale In Indonesia, Arifah Wulandari, Raudha Nur Hidayah Al Jannah, Gracianus Edwin Tue P. Lejap, Elwas Berdha Krismona, Santy Andrianie, Anisah Muflihatul Latifah, Merikan Aren

Buletin Konseling Inovatif

Career anxiety has become an important psychological concern among university students amid rapid technological transformation, labor market uncertainty, and increasingly complex school-to-work transitions. However, evidence regarding the factor structure of the Career Anxiety Scale (CAS) in the Indonesian context remains limited. This study aimed to examine the factor structure and psychometric properties of the Indonesian Version of the Career Anxiety Scale (CAS-IV). A cross-sectional survey was conducted with 287 Indonesian university students aged 18–25 years. The instrument was translated in accordance with International Test Commission guidelines and evaluated using Exploratory Factor Analysis (EFA), Confirmatory Factor Analysis (CFA), inter-factor correlations, and …

Llm-Driven Simulation Method For Mobilization Decision-Making In Weapons And Equipment Supply Chain, Qichang Guo, Jihai Zhang, Zichu Qin

Journal of System Simulation

Abstract: A LLM-driven multi-agent simulation model for production mobilization in the weapons and equipment supply chain is developed to address the practical challenge of transitioning the supply chain from peacetime to wartime production in response to surging wartime demand. The model consists of a military demand layer, a supply chain execution layer, and a mobilization decision-making layer. An LLM is incorporated as a mobilization decision generation module to represent the dynamic regulation of production conversion and expansion under war-readiness budget and production safety constraints. The simulation results show that compared with the no-mobilization and rule-based mobilization strategies, the LLM-based strategy …

Chemical Plant Control Based On Dynamic Simulation And Reinforcement Learning, Yuxin Li, Haijie Li, Shangbo Han, Kai Gao, Qingyuan Zhang, Yanwen Xiao, Zhengcai Liu

Journal of System Simulation

Abstract: An intelligent control strategy framework combining offline training and on-site deployment for regenerative thermal oxidizer (RTO) operation control based on RL is proposed to solve the problem that fluctuations in exhaust gas concentration and flow, as well as changes in working conditions, make it difficult for RTO to maintain the system operating parameters within the economically optimal range in practical applications. In the offline phase, RL is employed to enable autonomous policy learning and global optimization. In the online phase, an adaptive policy correction mechanism based on real-time data is introduced. RL control strategy is integrated with the operation …

Five-Dimensional Digital Twin System For Closed-Loop Gasoline Blending Optimization, Yaning Fang, Renchu He

Journal of System Simulation

Abstract: An adaptive blending optimization system based on five-dimensional digital twin theory is designed and developed to address the challenges of strict nonlinear constraints and frequent raw material fluctuations. A five-dimensional model architecture is constructed to achieve virtual-real mapping and synergy throughout the blending process. A closed-loop control strategy of "online model correction and dynamic recipe optimization" is proposed. The constrained recursive least squares (RLS) algorithm is adopted to update the octane blending effect model parameters, resolving the model mismatch caused by raw material fluctuations. The linear decreasing weight particle swarm optimization algorithm (LDW-PSO) is combined to determine the optimal …

Research On Digital Shipyard Design-Procurement Coupling Based On Multi-Agent Systems, Kaitai Peng, Dingyi Feng, Wenbo Zhao, Feier Chen

Journal of System Simulation

Abstract: To address the issues of low supply chain collaboration efficiency and inadequate dynamic scheduling capability caused by the disconnection between design and procurement in digital shipbuilding, a method integrating multi-agent simulation with the Q-learning reinforcement learning algorithm is proposed, and a four-tier dynamic supply chain model coupling design and procurement is developed, covering mines, steel mills, shipyards, and shipowners. Based on the depth of collaboration, steel mills are classified into three levels, including full collaboration, partial collaboration, and noncollaboration, with differentiated state spaces and reward functions designed to simulate intelligent pricing and game behaviors under information asymmetry. Simulation results …

Mission-Oriented Combat Effectiveness Evaluation Model For Intelligent Equipment System-Of-Systems, Long Zhang, Wenbo Huang, Xuanming Feng, Zhen Lei, Ying Wang

Journal of System Simulation

Abstract: A hierarchical evolutionary adaptive learning (HEAL) framework is proposed to address the problems in the operational simulation of intelligent equipment systems under complex adversarial environments, including fragmented hierarchical decision-making, unclear mapping between algorithmic indicators and operational effectiveness, and the lack of adaptive evolution capability of simulation models. A multi-layer learning architecture that integrates robust autonomous decision-making for single units, emergent collaboration of system networks, and game-theoretic evolution of system-of-systems strategies is constructed by following the “micro-meso-macro” system-oriented hierarchical modeling paradigm. A cross-layer closed-loop coupling among learned policies, cooperative structures, and operational effectiveness is achieved by combining bottom-up behavioral abstraction …