Digital Commons Network^™

Mind The Hazard: Modeling And Interpreting Comfort With Personalized Sensing, Yufei Zhang, Matteo Favero, Patrick Chwalek, Sailin Zhong, Denis Lalanne, A. Joseph Paradiso, Clayton Miller, Andrew Sonta

Research Collection College of Integrative Studies

Recent advances in personalized sensing and comfort feedback have spurred the development of data-driven comfort models tailored to individual needs. However, because current models treat sequential comfort feedback independently, they are subject to unstable predictions and limited interpretability, hindering their deployment in building management. This study introduces a dynamic modeling framework that utilizes a Neural Ordinary Differential Equations-based Continuous-time Markov Chain to model the transitions in comfort states over time. Our modeling approach, developed through a field study utilizing smart glasses and mobile app feedback, tracks occupants' comfort transitions across daily activities and contexts. The results demonstrate that this model …

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 …

Semiconductor Supply Chain Risk Monitoring And Forecasting: A Hybrid Big Data Architecture And Empirical Validation, Ming Gong, Sangwhan Cha

Harrisburg University Other Works

Global semiconductor manufacturing networks are characterized by deep geographical concentration, high capital intensity, and acute vulnerability to regional supply disruptions. While public merchandise trade statistics provide transparent, reproducible empirical records, transforming these raw macroeconomic streams into actionable supply chain risk intelligence requires both rigorous analytical framing and scalable computational architecture. In this paper, we propose an enterprise-grade cloud data architecture designed for semiconductor risk monitoring, combining scheduled distributed batch processing on Google Cloud (Dataproc/PySpark, BigQuery) with an event-driven streaming ingestion lane (Pub/Sub, Dataflow/Apache Beam). To rigorously evaluate the underlying scoring and forecasting logic without premature distributed deployment costs, we implement …

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 …

Pattern Formation In Quantum Hierarchical Cellular Neural Networks, Wilson A. Zuniga-Galindo, B. A. Zambrano-Luna, Chayapuntika Indoung

School of Mathematical & Statistical Sciences Faculty Publications

We present a new class of quantum neural networks (QNNs) whose states are solutions of p -adic Schrödinger equations with a non-local potential that controls the interaction between the neurons. These equations are obtained as Wick rotations of the state equations of p -adic cellular neural networks (CNNs). The p -adic CNNs arise as continuous limits of large discrete hierarchical neural networks (NNs). The CNNs are bio-inspired by the Wilson–Cowan model, which describes the macroscopic dynamics of large populations of neurons. We provide a detailed study of the discretization of the new p -adic Schrödinger equations, which allows the construction …

Life Participation In Parents Of Children With Ckd., Anastasia Hughes, Andrea Matus Gonzalez, Anita Van Zwieten, Chandana Guha, Simon Carter, Germaine Wong, Dale Coghlan, Amanda Dominello, Jonathan C. Craig, Martin Howell, Siah Kim, Karine Manera, Colm O'Reilly, Javier Recabarren Silva, Angela Rejuso, Benedicte Sautenet, Nicole Scholes-Robertson, Amanda Sluiter, Rebecca Wu, Mignon Mcculloch, Natalia Armijo, Ximena Atilano-Carsi, Patricia De La Cerda, Gabriel Alexis Gallardo Letelier, Carla Galvez, Nicole Gonzalez-Agüero, Maria Maldonado, Viola Pinto, Lilian Reyes, Lena Rodriguez, Angelica Rojo, Alejandro Sepúlveda, Luca G. Torrisi, Andrea K. Viecelli, Bashir Admani, Bethany J. Foster, Alexander J. Hamilton, Augustina Jankauskiene, Rebecca J. Johnson, Jasmijn Kerklaan, Isaac Liu, Stephen D. Marks, Cozumel S. Pruette, Franz Schaefer, Sebastian Wolfenden, Allison Jaure, Song-Kids Life Participation Workshop Investigators

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: The caregiver burden among parents of children with chronic kidney disease (CKD) is high and can impair their life participation, which may in turn have negative consequences on their children's care and outcomes. We aim to describe effects on life participation in parents of children with CKD, from the perspectives of their children, health professionals, and the parents themselves.

METHODS: We thematically analyzed data from the Standardized Outcomes in Nephrology-Children and Adolescents Initiative (SONG-Kids) life participation workshops involving children with childhood CKD, parents or caregivers, and health professionals, for content related to perspectives on life participation among parents of …

Machine Learning Local Potentials For Accelerated Electron-Phonon Interactions Calculations Within The Projector Augmented-Wave Framework, Yi Xia

Mechanical and Materials Engineering Faculty Publications and Presentations

Electron–phonon interactions govern carrier dynamics, transport, and many optical and quantum phenomena in solids, but finite-displacement calculations within the projector augmented-wave (PAW) framework require up to 6N self-consistent supercell calculations for an N-atom system, making them costly for large, low-symmetry, and disordered materials. We introduce MLLocP, a machine learning (ML) strategy that learns the self-consistent local potential (LocP) on real-space grids and supplies its displacement derivatives to the evaluation of all-electron PAW electron–phonon matrix elements. Analysis of the PAW decomposition identifies the local-potential contribution as a natural target for machine learning, while the remaining PAW quantities are retained within the …

Decades Of National Health Strategy In England On Intellectual Disability And The Drift From Evidence-Based Practice, Rohit Shankar

Peninsula Medical School

No abstract provided.

Keyframe Selection From Motion Capture Data With Dual-Agent Reinforcement Learning, Kun Hu, Wang, Clinton Mo, Mingyang Ma, Shaohui Mei, Zebin Chen, Zhiyong Wang

Research outputs 2022 to 2026

Animation production workflows centered around motion capture techniques require animators to edit motions based on a set of keyframes. However, most existing keyframe selection methods are optimization-based, which suffer from the issues of flexibility and efficiency. In this paper, a novel deep reinforcement learning method with dual agents are proposed for unsupervised keyframe selection. First, an S-Agent and an R-Agent evaluate the actions of selection and refinement, respectively. A deep spatio-temporal network, namely graph keyframe evaluation network (GKEN), is proposed for the agents. Then, an animation specified reward is devised based on reconstruction, which fulfills three important properties of the …

Glomalin-Related Soil Protein In Colluvial Soils As A Proxy For Reconstructing Millenary Changes In Landscape And Soil Health, Axel Werner, Lourdes López-Merino, Joeri Kaal, Cruz Ferro-Vázquez, Oscar Serrano

Research outputs 2022 to 2026

Glomalin-related soil protein (GRSP) is an operationally defined soil organic matter pool that includes a heat shock protein linked to arbuscular mycorrhizal fungi (AMF) living in symbiosis with most vascular plants and plays a key role in soil health. However, the potential of GRSP as a palaeoecological proxy remains unexplored. We analysed the GRSP content in a North-western Iberian colluvial soil profile encompassing the last 14,000 years. We aimed to 1) identify whether GRSP is preserved, and 2) investigate whether GRSP could be used as a palaeoecological proxy after comparing its record with palynological and pedoanthracological records that account for …

Multilayered Childhood Adversity And Mortality: A Population-Based Cohort Study Of 1.2 Million Individuals, Naja Hulvej Rod, Signe Kær Bennetsen, Leonie K. Elsenburg, Clive E. Sabel, David Taylor–Robinson, Dora Kovacs, Adrian G. Zucco, Tjeerd Rudmer De Vries

School of Geography, Earth and Environmental Sciences

Background: Childhood adversity is multi-layered, extending beyond the family to include broader neighbourhood and health contexts. We aimed to investigate how these multiple layers of childhood adversity relate to the risk of death in young adulthood. Methods: Children were followed from birth into young adulthood (16–42 years) using nationwide register data on multi-layered childhood adversity and mortality. Individual adversity included perinatal adversity (preterm or small-for-gestational-age) and mental and physical health-service use. Family adversity included five distinct groups using group-based multi-trajectory modelling based on 12 adversities. Neighbourhood adversity included material deprivation in small-area geographical zones. We evaluated associations of these layers …

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

Performing Proficiency: Ethnodrama As Arts-Based Research In An Esl Acting Classroom, Angel M. Morales

Journal of English Learner Education

This study explores the use of ethnodrama as an arts-based research method and pedagogical tool in English as a Second Language (ESL) education. Drawing on the work of Saldaña, Salvatore, and Denzin, the project examines how performance can communicate lived experiences, foster language development, and promote social justice in multicultural classrooms. Based on interviews and observations of ESL students in an Acting I course, the resulting ethnodrama, What?! Acting?!, presents verbatim narratives that reveal learners’ identities, struggles, and resilience. The findings highlight how theatrical practice enhances linguistic fluency, self-expression, and cultural understanding, demonstrating the transformative potential of performance in …

A Franco-American University Collaboration: Oral Assessment With Cefr And Star, Nadia Yassine-Diab, Christina Torres University Of Central Florida, Aimee Schoonmaker

Journal of English Learner Education

This article describes the collaboration between faculty at two international
universities, one in France and one in the U.S., who partnered their students to practice and assess oral skills. Using computer-mediated communication with both synchronous and asynchronous elements, the collaboration provided a valuable opportunity for both groups to engage in pedagogically meaningful and structured exchanges integrated into coursework that mirror their future professional situations (O’Dowd et. al., 2020). More specifically, each semester, the U.S. TESOL students interview and assess French speaking English language learners using the Common European Framework of Reference (CEFR) and the Situation Task Action Results (STAR) interview …

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, …

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 …

Mgrre_Thinsections_Mgrre_11_1, Mgrre

Thin Sections

No abstract provided.

The Effect Of Project Based E-Learning Models Toward Learning Outcomes And Critical Thinking Skills Of Vocational High School Students, Made Delina Rusnawati, I Wayan Santyasa

Jurnal Pendidikan dan Pembelajaran

Learning outcomes and critical thinking skills are main competencies that students must achieve in Digital Simulation subjects. This study aimed to describe the differences in learning outcomes and critical thinking skills together between students who learned by using project-based e-learning model and students who learned by using direct e-learning in Digital Simulation subjects. This research used quasi experiment method. The research design used was a pretest-posttest control group design. The research sample consisted of 4 classes or 133 students by using a simple random sampling technique. This study used two test instruments namely, the learning outcomes test in the form …

Effects Of Differentiated Physical Education Learning On Physical Fitness And Active Lifestyle Among Junior High School Students: A Quasi-Experimental Study, Asep Akbaruddin, Sumbara Hambali, Wahyu Saputra, Mochamad Fajar Permana

Indonesian Journal of Research in Physical Education, Sport, and Health

Background: Low levels of physical fitness and physical activity among junior high school students remain a significant concern in physical education. Differentiated instruction offers a potentially effective approach by tailoring learning activities, levels of difficulty, and instructional experiences to students’ readiness, interests, and abilities. Objective: This study aimed to investigate the effects of differentiated physical education instruction on physical fitness and active lifestyles among junior high school students. Methods: A quantitative approach employing a quasi-experimental, nonequivalent control-group design was adopted. A total of 90 junior high school students participated in the study, with 45 assigned to the experimental group and …

The Effect Of Multisensory Virtual Forest Bathing On Stress Among College Students, Shinta Mustika, Tiara Ditha Puspita, Tasya Berlian Cittra Friyanti, Wilis Srisayekti, Yanti Rubiyanti, Asteria Devy Kumalasari, Yuliana Hanami

Psychological Research on Urban Society

Stress is a common psychological problem among university students and may be caused by academic, social, and environmental demands. This study aimed to examine the effect of multisensory virtual forest bathing (VFB) on reducing stress among university students. A randomized pretest-posttest waitlist-control design was employed. Participants were 58 undergraduate students from the Faculty of Psychology, Universitas Padjadjaran with moderate-to-high stress levels based on the Perceived Stress Scale (PSS-10), after outliers were removed. The experimental group received a ±9-minute 360° forest video intervention delivered through virtual reality (VR) with auditory and olfactory stimulation, while the waitlist control group received no intervention …

Understanding Gratitude And Thriving At Work Among Rescue Workers, Muhammad Faidhil Iman, Debora Eflina Purba

Psychological Research on Urban Society

Thriving at work, characterized by sustained vitality and continuous learning, is a critical psychological state for personnel navigating high-risk rescue environments. Drawing on the Socially Embedded Model of Thriving (SEMT), this study investigates gratitude at work as a key undefined personnel resource that fosters thriving at work through the mediating mechanism of meaningful work. Furthermore, we hypothesized that a toxic contextual environment, specifically abusive supervision, would act as a boundary condition hindering grateful individuals from deriving meaningfulness from their work. Using a cross-sectional design, data were collected from 238 first responders across the Fire and Rescue Department, the Disaster Management …

Mental Health As A Mediator In The Relationship Between Life Satisfaction, Resilience, And Employee Engagement Among Generation Z Employees, Ida Farida, Irfiani Triastari

Psychological Research on Urban Society

This study examined the mediating role of mental health, operationalized as lower non-specific psychological distress, in the relationships between life satisfaction, resilience, and employee engagement among Generation Z employees in Indonesia. A quantitative cross-sectional explanatory survey design was used. The sample consisted of 324 Generation Z employees selected from a larger dataset based on age cohort, full-time employment status, and voluntary participation. Data were analyzed using Structural Equation Modeling with LISREL 8.80 and Maximum Likelihood estimation. The results showed that life satisfaction was positively associated with employee engagement and with mental health as operationalized in this study. Resilience was positively …

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 …

Multimodal Perception-Based Trajectory Planning Method For Uavs In Forest Environments, Dequan Li, Jiahao Jiang

Journal of System Simulation

Abstract: To address the requirements for low-latency local planning and safe obstacle avoidance in UAV forest-fire patrol under dense tree-trunk occlusion and locally invalid depth observations, this paper proposes a learning-based local trajectory planning method that fuses depth images, local occupancy distance maps, candidate-level collision-risk assessment, and pre-execution safety reranking. The method uses depth images, local occupancy distance maps, motion states, and target direction as inputs and generates 15 quintic-polynomial candidate trajectories in parallel using 3 × 5 angular motion primitives. During training, candidate safety costs, ranking supervision, and near-collision risk labels are constructed. During inference, online LiDAR point clouds …