Digital Commons Network^™

The Role Of Prior Experience And Confidence Levels In The Effectiveness Of Automated Feedback For Programming Education, Mary Benjamin, Leo Ureel, Laura Brown, Jon Sticklen, Kedmon Hungwe, Michelle Jarvie-Eggart

Michigan Tech Publications

Automated feedback is increasingly used to support programming instruction, yet little is known about how such tools influence students' self-efficacy development. This study examines how prior programming experience and initial confidence shape self-efficacy gains among first-year engineering students using an automated code critiquer for formative feedback. Pre- and post-intervention surveys were collected from 380 students enrolled in an introductory MATLAB programming course, employing two validated instruments: the Computer Programming Self-Efficacy Scale (CPSES) and the Longitudinal Assessment of Engineering Self-Efficacy (LAESE). Students with prior programming experience demonstrated significantly greater gains in both CPSES and LAESE than novices, although distinctions among basic, …

Bulletin Ninth District Ny November 2026

Bulletin of the Ninth District Dental Association

In the November 2026 issue, the reader will find the following feature articles:

• Dr. Roland Emmanuele, a True Stalwart of the Ninth District!
• ADA Wins in 2026
• NYSDA Wins in 2025

Also included are your monthly President's Message, event updates, continuing education opportunities, membership news and classifieds.

Intercollegiate Athletics—Past, Present, And Future, Eddie Comeaux, Sarah K. Fields, Madison Gordon, Kurt Kemper, Jeffrey Kessler, Ronald A. Smith, Erianne Weight, Andrew Zimbalist, Daniel A. Nathan

Economics: Faculty Publications

On October 17, 2025, the Journal of Sport History hosted a lively roundtable about intercollegiate athletics, its past, present, and future. It featured a wide range of participants: historians, of course, but also scholars from other disciplines, such as economics and sport management, as well as a recent elite college athlete and a distinguished attorney.

The conversation was held on Zoom and has been edited for length and clarity.

Covering The Care: An Update On Pharmaceutical Utilization And Per-Member-Per-Month Costs, Molly Umana, Erica-Lyn Plante, Susy Hawes

All Materials

This data brief updates IHPP's analysis of pharmaceutical utilization and costs among New Hampshire's insured population, originally published in 2025 as “Covering the Care: Pharmaceutical Utilization and Per-Member-Per-Month Costs.” The original brief examined pharmacy claims data for calendar year 2022, while this update examines utilization and costs for 2023 and 2024.[1] Using pharmacy claims data from commercial insurance, NH Medicaid, and NH Medicare, this analysis examines prescription utilization and per-member-per-month (PMPM) costs for calendar years 2023 and 2024.

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 …

Cutting Through The Jargon, Prasheen Shah Md

Faculty Development Tips

No abstract provided.

Establishment Of A Diabetes-Tailored Data Intelligence Platform Enhances Clinical Care, Enables Risk-Based Monitoring, And Facilitates Population-Health-Based Approaches At A Pediatric Diabetes Network., Brent Lockee, Craig Vandervelden, Daniel R. Tilden, Kelsey Panfil, Erin M. Tallon, Emily Dewit, Katie Noland, David D. Williams, Harpreet Gill, Susana R. Patton, Priya Prahalad, Juan Espinoza, Amey Waghmode, Mitchell Barnes, Mark A. Clements

Manuscripts, Articles, Book Chapters and Other Papers

BACKGROUND: Patient-generated health data (PGHD) represents an opportunity to customize care, particularly in type 1 diabetes (T1D) care where continuous glucose monitor (CGM) and insulin pump usage continues to rise. Previous solutions to integrating CGM data into the electronic health record (EHR) have been limited in their ability to integrate data from multiple sources, ensure data fidelity, integrate data from multiple data streams, and rapidly adapt to changes in data output from numerous vendors. We developed a novel data infrastructure contained outside of the EHR to provide an alternative approach to PGHD integration, enable diabetes centers to identify and predict …

Understanding The Adaptability Of Wild Thyme And Lavender Using Temperature, Leslie De Leon, Elizabeth Reyes, Lillian Mitchell, Harris Memon, Darlene Panvini

Science University Research Symposium (SURS)

Green roofs are partially or completely covered with vegetation and provide several ecosystem services, including stormwater management, reducing the heat island effect, supporting biodiversity, and providing aesthetic value. Our research investigated how surface temperature affects the growth of two perennial plants, Wild Thyme and English Lavender, under green roof conditions. We hypothesized that both species would adapt well to temperature fluctuations because of their drought-tolerant and low-maintenance characteristics. For this study, we utilized Wild Thyme (Thymus serpyllum) and English Lavender (Lavandula angustifolia). Wild Thyme is a low-growing ground cover that tolerates drought and varying environmental …

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 …

Assessing Biodiversity Of Native Lichen In Parks Along Major Interstates Of Davidson County, Leslie De Leon, Ross Andrew

Science University Research Symposium (SURS)

Lichens are unique biological entities formed through a symbiotic partnership between a fungus and a photosynthetic partner, such as algae or cyanobacteria. This mutualistic relationship allows lichens to survive in diverse environments and colonize a variety of substrates. Previous studies have examined air pollution at broad spatial scales and its impact on human health; however, less is understood about how air pollution and its potential ecological effects vary in areas surrounding major interstate highways. As biological indicators, lichens can provide insight into environmental conditions and air quality due to their sensitivity to atmospheric pollutants. This study examined lichen diversity and …

Roles Of Brca1 Sumoylation In Dna Damage Repair, Chromosome Segregation And Genome Instability, Samantha C. Wild

Biology Theses

Global inhibition of SUMOylation increases chromosomal instability and nuclear abnormalities, including chromatin bridges, micronuclei, nuclear buds, and binuclei. However, the underlying mechanisms remain unclear. In this study, we hypothesized that SUMOylation of BRCA1 is pivotal for DNA double-strand break (DSB) repair and genome stability. My immunofluorescence microscopy revealed an increase in co-localization of BRCA1 and SUMO-2/3 at DSB foci in COS-7 cells after hydroxyurea treatment, suggesting that SUMOylation may play an important role in BRCA1 recruitment to DNA double-strand breaks. Using multiple bioinformatic tools, including UniProt, AlphaFold-2, PDB Viewer, GPS-SUMO 2.0, and DeepSUMO, I found that the BRCA1 RING and …

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.

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 …

Evaluating Scalability, Extrapolation Limits, And Microgeographic Divergence: A Hybrid Batch–Streaming Architecture For Urban Crime Analytics, Yicheng Jiang, Sangwhan Cha

Harrisburg University Other Works

While municipal crime statistics frequently report broad, citywide downward trends, aggregate metrics often mask localized divergence at microgeographic scales. Concurrently, data engineering pipelines designed to ingest, process, and forecast municipal incidents must navigate fundamental trade-offs between distributed computing overhead, low-latency streaming ingestion, and the extrapolation limitations of machine learning estimators. This paper presents the design, end-to-end cloud implementation, and empirical evaluation of a dual-path batch and streaming Big Data architecture deployed over four contiguous Philadelphia neighborhoods (West Kensington, East Kensington, Fishtown, and Port Richmond). Historical incidents (309,106 records spanning 2006–2026) were processed via Apache Spark and MapReduce backends, cross-validating an …

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 …

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 …

Manifold Alignment And Dual Prediction-Based Adaptive Dynamic Multi-Objective Evolutionary Algorithm, Xuezhi Yue, Chao Xiong, Yanshen Jiang, Zhaolu Guo, Hu Peng

Journal of System Simulation

Abstract: To address prediction failure, manifold topology distortion, and insufficient adaptability in environmental response and operator configuration in existing prediction-based algorithms for dynamic multi-objective optimization under complex nonlinear environments and small-sample settings, this paper proposes a manifold alignment and dual prediction-based adaptive dynamic multi-objective evolutionary algorithm, termed MADP-DMOEA. When the environment changes, the algorithm decomposes the decision-variable manifold into center and shape components, effectively aligns manifolds at adjacent time instants via bipartite optimal matching, and identifies environmental change severity using geometric displacement. A dual prediction model is developed, in which a GRNN performs center extrapolation under severe changes, while an …

Cooperative Hunting Method For Multiple Usvs Based On Improved Maddpg, Yonghao Zhang, Changyou Xue, Xueman Fan, Zhuo Cheng

Journal of System Simulation

Abstract: A cooperative hunting method based on improved multi-agent deep deterministic policy gradient (MADDPG) is proposed to address the challenges of non-stationary environments, sparse rewards, and partial observations in the cooperative hunting of targets with unknown motion patterns by multiple unmanned surface vessels (USVs). A Markov game model for hunting is built, and a multidimensional guided reward shaping function incorporating collision avoidance, hunting success, and energy consumption penalties is designed to mitigate the sparse reward problem. ResNet residual networks are introduced to construct the Actor and Critic networks and thus enhance the representation capability of deep networks for complex state-action …