Digital Commons Network^™

Low Climate Benefit Of Nordic Coastal Marshes: Site Conditions Outweigh Grazing Effects And Shape Trade-Offs Between Carbon Storage And Its Stability, Carmen Leiva-Dueñas, T. Banta, Christoffer Boström, Franziska Eller, Johan Eklöf, Line Holm Andersen, Kai Jensen, Marianna Lanari, Ella Logemann, Pere Masque, Thomas Ostertag, Christoph Reisdorff, Anaïs Richard, Anu Vehmaa, Jukka Alm, Mikael Von Numers, Dorte Krause-Jensen

Research outputs 2022 to 2026

Coastal marshes, recognized as effective organic carbon (OC) sinks, have gained attention for their potential contribution to climate mitigation through protection and restoration. However, the climate mitigation potential of Nordic coastal marshes remains understudied, likely due to their heterogeneous and often non-tidal nature. To fill this gap, we examined soil OC storage and accumulation rates, and the effects of grazing, a common management practice, across eight Nordic coastal marsh areas spanning broad climate and environmental gradients. We also assessed soil methane emissions in selected areas. The Nordic marshes studied store a median of 7 kg OC m⁻² (interquartile range, …

High-Performance Simulations Of Higher Representations Of Wilson Fermions, Vincent Drach, Sofie Martins, Claudio Pica, Antonio Rago

School of Engineering, Computing and Mathematics

We present HiRep v2, an open-source software suite for high-performance lattice field theory simulations with dynamical Wilson fermions in higher representations of SU(Ng) gauge groups. This new version fully supports graphics processing unit (GPU) acceleration, optimizing both gauge configuration generation and measurements for NVIDIA and AMD GPUs. HiRep v2 integrates improved gauge and fermionic lattice actions, advanced inverters, and Monte Carlo algorithms, including the (Rational) Hybrid Monte Carlo ((R)HMC) with Hasenbusch acceleration. It exhibits excellent scalability across multiple GPUs and nodes with minimal efficiency loss, making it a robust tool for large-scale simulations in physics beyond the Standard Model.

Machine Vision For In Situ Measurement And Control Of Wire Stickout In Lwded Process, Braden Mclain, Remy Mathenia, Todd Sparks, Frank Liou

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This work presents a machine-vision–based measurement and control framework for laser wire directed energy deposition (LWDED) processes. A visible-light camera system is used to capture meltpool images, from which a novel vision algorithm extracts the wire–meltpool interface location. By utilizing a camera that is rigidly mounted to the deposition head, the vision algorithm provides a relative measurement of the distance between the nozzle tip and the workpiece, also referred to as wire stickout. A proportional-derivative (PD) control strategy is implemented using the measured stickout as feedback to adjust deposition feedrate. Results show that the control system successfully compensates for improper …

Mease: Multi-Agent Episodic Action Sequence Explanation, Phyo Wai Khaing, Minghong Geng, Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Multi-agent reinforcement learning (MARL) achieves remarkable performance in complex coordination tasks, yet interpreting the emergent behaviors of trained agents remains a fundamental challenge. Most current explainability methods focus on individual agent decisions, overlooking the critical interplay of joint strategiesand temporal coordination patterns that define successful multi-agent policies. We present MEASE (Multi-agent Episodic Action Sequence Explanation), a novel explainable MARL (XMARL) framework that explains trained MARL policies as human-interpretable emergent cooperative joint behaviors. MEASE employs a cognition-inspired episodic memory model to learn spatio-temporal multi-agent interaction patterns, coupled with abstraction algorithms that identify significant cooperative agent behaviors. We evaluate MEASE on diverse …

Collaborative Practices And Tool Utilization In Software Development Projects: A Student Perspective, Yi Meng Lau, Muhammad Syahmi Bin Abbas, Lingxiao Jiang

Research Collection School Of Computing and Information Systems

Software development is a collaborative activity that depends on effective teamwork, shared understanding, and coordinated use of development practices and tools. While these aspects are well studied in professional environments, they are less frequently examined within software engineering education. This study investigates how students collaborate in group projects, focusing on collaborative practices, tool usage, and their perceptions of software quality. We conducted a quantitative post-project survey with 143 second-year undergraduate students enrolled in a software development course. The results show that students actively share information and often establish team norms to support coordination and collaboration. However, students face challenges in …

Causality-Driven Test Case Minimisation For Cyber-Physical Systems, Michael Foster, Christopher M. Poskitt, Nicholas R. Latimer, Neil Walkinshaw, Richard Somers, Robert M. Hierons

Research Collection School Of Computing and Information Systems

Cyber-physical systems allow digital control systems to interact with the physical world using sensors and actuators. They are increasingly being used to automate critical infrastructure, where software faults can have dire consequences. Due to the complex nature and unpredictability of these systems, their resilience is often tested using a technique called fuzzing, which generates quasi-random sequences of sensor and actuator manipulations with the goal of forcing a system into unsafe states. However, there is currently no way of determining which manipulations of a test case cause a failure without systematically removing each one and re-running the test, which can be …

Natural Adversaries: Fuzzing Autonomous Vehicles With Realistic Roadside Object Placements, Yang Sun, Haoyu Wang, Christopher M. Poskitt, Jun Sun

Research Collection School Of Computing and Information Systems

The emergence of Autonomous Vehicles (AVs) has spurred research into testing the resilience of their perception systems, i.e., ensuring that they are not susceptible to critical misjudgements. It is important that these systems are tested not only with respect to other vehicles on the road, but also with respect to objects placed on the roadside. Trash bins, billboards, and greenery are examples of such objects, typically positioned according to guidelines developed for the human visual system, which may not align perfectly with the needs of AVs. Existing tests, however, usually focus on adversarial objects with conspicuous shapes or patches, which …

Enhancing Action And Ingredient Modeling For Semantically Grounded Recipe Generation, Guoshan Liu, Bin Zhu, Yian Li, Jingjing Chen, Chong-Wah Ngo, Yu-Gang Jiang

Research Collection School Of Computing and Information Systems

Recent advances in Multimodal Large Language Models (MLMMs) have enabled recipe generation from food images, yet outputs often contain semantically incorrect actions or ingredients despite high lexical scores (e.g., BLEU, ROUGE). To address this gap, we propose a semantically grounded framework that predicts and validates actions and ingredients as internal context for instruction generation. Our two-stage pipeline combines supervised fine-tuning (SFT) with reinforcement fine-tuning (RFT): SFT builds foundational accuracy using an Action-Reasoning dataset and ingredient corpus, while RFT employs frequency-aware rewards to improve long-tail action prediction and ingredient generalization. A Semantic Confidence Scoring and Rectification (SCSR) module further filters and …

Thermo-Hydro-Chemical Coupled Numerical Modeling Of Hydrogen-Thermal Co-Development In Hydraulically Fractured Peridotite, Jiacheng Dai, Zhonglin Ma, Yunzhi Yue, Yujie Yuan, Shouceng Tian

Research outputs 2022 to 2026

Hydrogen generation through serpentinization reactions in peridotite formations under high temperature conditions represents a promising avenue for subsurface hydrogen production. However, the thermal energy in the formation environment have not been sufficiently considered. To integrate hydrogen production with thermal energy development, this study develops a thermo-hydro-chemical coupled numerical model, which is used to investigate hydrogen-thermal co-development in hydraulically fractured peridotite. Given that the hydrogen-thermal co-development process involves fluid flow, heat transfer and serpentinization reactions, the governing equations are formulated based on Darcy flow and energy conservation equations, with serpentinization kinetics incorporated through the reactive source terms. To evaluate hydrogen production …

Smart-Charge: Stable Matching Algorithm For Electric Vehicle Charging In Subscription-Based Models, Arindam Khanda, Anurag Satpathy, Sajal K. Das

Computer Science Faculty Research & Creative Works

The transition from internal combustion engine (ICE) to electric vehicles (EVs) introduces several challenges, including limited charging infrastructure, unpredictable charging wait times, and inefficient selection of charging points (CPs). To address these issues, we propose SMART-CHARGE, a framework that efficiently assigns EVs to CPs through an edge-level coordination mechanism within each service region, enforced by roadside units (RSUs). Operating under a novel subscription-based charging model, SMART-CHARGE enforces predefined charging time limits via service-level agreements (SLAs). The EV-CP assignment problem is formulated as a one-to-many matching game that captures EV user preferences. To construct bounded yet efficient EV coalitions at each …

Safepass: Efficient Emergency Vehicle Passage With Minimal Disruption To Traffic Flow, Osho Osho, Suchetana Chakraborty, Sajal K. Das

Computer Science Faculty Research & Creative Works

Emergency vehicle passage in congested urban networks poses a dual challenge: ensuring rapid response while minimizing disruption to surrounding traffic. This study addresses this challenge in the context of Connected Autonomous Emergency Vehicles (CA-EVs), proposing SafePass , a lightweight distributed framework for seamless CA-EV passage through decentralized, cooperative maneuvering of surrounding Connected Autonomous Non-Emergency Vehicles (CA-NEVs). At its core, SafePass employs the Target Lane Potential (TLP), a novel utility-based metric combining lane-choice utility with probabilistic gap acceptance, augmented by a cascade-aware penalty that suppresses upstream shockwaves triggered by gap-creation maneuvers. Evaluated in Simulation of Urban Mobility (SUMO) using synthetic traffic …

A Qualitative Exploration Of The Military Veteran Teaching Experience In A Public High School Setting, Denise R. Embrey

Dissertations

This coded qualitative study examines whether military veterans as second career teachers can help address the ongoing shortage of qualified public high school teachers in the United States. Focusing on three Midwestern public high school systems with at least 10% of military veteran teachers employed in their high school. I explored veterans as second-career educators. I personally interviewed five public high school principals, to find that these five strongly favor hiring veterans, citing their discipline, teamwork, and willingness to engage with students and parents are outstanding character qualifications for the public high school to have on staff. I noted and …

Editorial: El Juego De Rol Como Instrucción Para La Inmortalidad, Romano Ponce Díaz

Journal of Roleplaying Studies and STEAM

El presente número del Journal of Roleplaying Studies and STEAM examina la convergencia entre las prácticas lúdicas, el diseño narrativo y los procesos de mediación sociocultural en la investigación contemporánea. Las contribuciones reunidas en este número abordan el juego de rol como un dispositivo de producción de conocimiento, intervención psicoeducativa y reelaboración de representaciones culturales. Nos podemos atrever a señalar que la educación es la convergencia entre la ludología, las ciencias sociales, los estudios visuales y el análisis cultural; entendiendo a la educación como la actividad consciente e intencionada de transmitir información y conocimientos a las siguientes generaciones.

Practicing Conflict Transformation Skills Through Role-Playing Games For Diversity, Equity, And Inclusion In Higher Education, Alexandra Schreiber, Kjell H. Hugaas, Sarah L. Bowman

Journal of Roleplaying Studies and STEAM

No abstract provided.

3d: Dragones, Dados Y Deseos. Rituales En Las Comunidades Roleras De Bogotá, Francisco Gonzalez Buitrago

Journal of Roleplaying Studies and STEAM

¿Qué ocurre cuando la ficción deja de ser solo entretenimiento y se transforma en refugio, ritual y espacio de transgresión? Este artículo analiza los hallazgos de una etnografía y un ejercicio de cartografía social en torno a comunidades roleras de Bogotá, mostrando cómo jóvenes y adultos reconfiguran sus vidas cotidianas a través del juego de rol.

Lejos de limitarse al escapismo, las partidas se convierten en escenarios simbólicos donde caben la negociación, la crítica y la catarsis. En una ciudad marcada por la incertidumbre generacional y las tensiones entre género, clase y territorio, las campañas de rol permiten reimaginarse a …

Diseño De Un Juego De Rol Enfocado En México Prehispánico, Jaime E. García Maya, Karina Flores Ocampo

Journal of Roleplaying Studies and STEAM

Resumen

Los juegos de rol (JdR) nos invitan a asumir personajes y desenvolvernos en situaciones simuladas, se fundamenta en diversas perspectivas teóricas que resaltan su impacto en el desarrollo integral y en la adquisición de conocimientos. (Sierra Garzón 2024), (Peñafiel, A et al., 2023), (Garaigordobil et al., 2022) y (Marente, 2019)

Autores como Vygotsky (citado en Garaigordobil et al., 2022) subrayan la importancia de las interacciones sociales para el aprendizaje y la regulación emocional, se ha observado que el juego de rol contribuye al desarrollo de habilidades como la empatía, la cooperación, la comunicación y la resolución de conflictos, elementos …

The Functions Of Role- Playing Games: How Participants Create Community, Solve Problems And Explore Identity, De Sarah Lynne Bowman (2010) [Reseña De Libro], Cristo Leon

Journal of Roleplaying Studies and STEAM

The Functions of Role-Playing Games: How Participants Create Community, Solve Problems and Explore Identity, by Sarah Lynne Bowman, is an ambitious, wide-ranging, and still necessary work for role-playing game studies. Published in 2010, the book proposes that role-playing and roleplaying games fulfill three main social and psychological functions: creating community, facilitating problem solving, and enabling the exploration of identity. Bowman develops this thesis through a combination of theoretical review, cultural reflection, and participant-observer ethnography, based on interviews with players of tabletop role-playing games, live-action roleplaying games, and virtual environments. Organized into seven chapters, the book moves clearly from the …

Foraging Plasticity And Mercury Contamination In Red-Legged Kittiwakes: A Multiple Stressor Perspective, Sam E. Clay

All-Inclusive List of Electronic Theses and Dissertations

Arctic seabirds are facing increasing stress from climate change, yet the interactive effects of multiple stressors on behavior remain poorly understood. Adopting a multiple stressor perspective promises to advance understanding of avian behavioral responses to climate change, as climate change is exposing Arctic and subarctic animals to a complex set of stressors rather than a single stressor in isolation. Using the red-legged kittiwake (Rissa brevirostris) as a model, I examined how multiple stressors, including mercury (Hg) exposure, shifting wind conditions, and varying foraging conditions linked to sea surface temperature (SST) may interact to constrain behavioral plasticity and energetically expensive behavior …

Dendroclimatic Response Of The Wet Miombo Woodland Species: A Case Study Of Mufulira District, Copperbelt Province, Zambia, Collins Chibuye Malubeni

All-Inclusive List of Electronic Theses and Dissertations

Zambia is a tropical, landlocked country that lies in the South-Central part of Africa. The climate in Zambia includes distinct dry and rainy seasons, mainly influenced by the north-south movement of the Intertropical Convergence Zone (ITCZ), which shifts seasonally. This research is focused on understanding the relationship between tree growth and climate using dendrochronology. Forty-nine tropical species, including Julbernardia paniculata, Brachystegia longifolia, and Pericopsis angolensis, were analysed for dendroclimatic potential, and 70% showed clear ring formation, indicating that trees in this locality produce distinct annual ring boundaries. For the single species chronology, thirteen cores from eight trees that were initially …

A Study Of Visualized Diagnostics In Early Stage Digital Twin Implementation Of An Industrial Control System, Michael R. Kinzel

All-Inclusive List of Electronic Theses and Dissertations

Industrial Control Systems (ICS) are used for process control in almost all industries. An ICS combines Operational Technologies (OT) with Information Technologies (IT) to allow human supervision of a process through surveillance of process variables and manipulation of controlling elements such as valves to maintain stable process conditions. ICSs have been in-service for several decades and may remain operational past their technological service life. Organizational personnel interact with the ICS through visual displays that both indicate the process variables and also the controlling elements. The Human Machine Interface (HMI) allows visibility of the process and the ability to manipulate controlling …

The Effects Of Poverty On Student Achievement And Behavior, Dwayne Lucas

All-Inclusive List of Electronic Theses and Dissertations

Poverty can have a devastating impact on the academic achievement of students and their potential for positive adult outcomes. One of the most impactful aspects in the fight against the impact of poverty is student engagement. There must be attention paid to how engagement impacts a student’s potential for success as well as what strategies can be employed to improve engagement. It was the goal of this study to determine how relationships and engagement impacted student outcomes and educational experience. This study attempted to determine what strategies educators utilize to increase student engagement. Using observations and semi-structured interviews, the researcher …

Advanced Optimization And Integration Of Propellant Flow Path For Cntr Fuel Tube, David Cox, Michael Rietze, Karl Lauture, Max Lowe, Elijah Spencer, Kojo Pinkrah

Mechanical Engineering Capstone Design Projects

The Centrifugal Nuclear Thermal Rocket (CNTR) is an advanced propulsion concept whose performance is strongly influenced by the efficiency and continuity of its propellant flow path. This project focuses on improving the geometric integrity and analytical fidelity of the CNTR fuel tube inlet and manifolds, which are critical subsystems governing pressure losses and downstream performance. In prior designs, these parts consisted of multiple components assembled using adhesive, introducing geometric discontinuities that increased head losses and limited the reliability of computational analysis.

In this work, the inlet and manifold were successfully redesigned as single, integrated components. This redesign represents a key …

Reconfigurable Dataflow For Efficient Matrix-Matrix Multiplication For Dnn Acceleration, Daniel Laudico

Theses

General matrix-matrix multiplication (GeMM) is a principal computational bottleneck in modern deep learning workloads where performance can be heavily impeded by frequent memory accesses. This thesis introduces a multi-dataflow aware processing element (PE) designed to perform the multiply-accumulate (MAC) operations fundamental to GeMMs while utilizing a data flow that best fits the data provided. A salient feature of this architecture is its programmable flexibility, which enables the implementation and execution of different data flow strategies, including Output Stationary, Weight Stationary, Input Stationary, and Row Stationary. The flexible design supports both dense and sparse GeMM and General matrix-vector multiplication (GeMV). To …

The Future Of Airport Operating Models And Seamless Passenger Journeys: Strategic Readiness Implications For Dubai World Central (2035–2045), Mohammad Abdulla Alsuwaidi

Theses

Dubai World Central is being developed to support a major expansion of Dubai’s aviation capacity. Its planned scale raises questions beyond terminal construction and technology pro- curement because airlines, airport operators and government authorities must coordinate passenger processing while maintaining security, public confidence and operational continu- ity. This thesis examines how airport operating models and end-to-end passenger processing may evolve during 2035–2045 and assesses the strategic readiness implications for DWC. A qualitative, desk-based design was adopted using peer-reviewed research, official aviation publications, government documents, airport implementation evidence and selected industry reports. The analysis combined PEST horizon scanning, a technology-readiness assessment, …

Energy Loss Hotspot Mapping In Power Distribution Networks, Abdulla Alhammadi

Theses

The electricity systems used in power distribution in the United States also consume a lot of electricity to warm up until it gets to homes, business or industries. These are technical losses which are caused by the physical resistance of the aging electrical equipment like transformers, conductors and distribution lines. With the aging of infrastructure, the resistance rises, and the amount of wasted energy increases. Although this is a large problem, most utility companies continue to use rough age estimations or customer complaints instead of using more direct and objective data-driven techniques to determine the concentration of the worst losses. …

A Study Of Post -Quantum Cryptography Migration In An Emulated Enterprise Environment, Saquib Farooq Malik

Theses

The imminent maturation of Cryptographically Relevant Quantum Computers (CRQCs) represents a fundamental threat to the digital security infrastructure, specifically targeting modern cryptographic standards such as AES, RSA and Elliptic Curve Cryptography (ECC). While Post -Quantum Cryptography (PQC) offers a mathematical defense, the transition is complicated by the “Harvest Now, Decrypt Later ” (HNDL) strategy, where encrypted data is intercepted today for future decryption. This thesis explores the critical necessity of an organized migration strategy to protect long-term data sensitivity against the rapid advancement of quantum capabilities and addresses the gaps in the current migration landscape: the absence of a standardized, …

Kosovo Pisa Monitoring Via System Signals Benchmarking 2015/2018/2022, Peer Clusters, Early-Warning Screening, And Mixed-Methods Triangulation In Grade 10 Mathematics, Leon Cana

Theses

This thesis develops a practical monitoring approach for Kosovo’s PISA outcomes by linking country-level benchmarking of PISA 2015, 2018, and 2022 with measurable system signals and a focused school-level triangulation. Quantitatively, it benchmarks Kosovo against Western Balkans Six (WB6) and selected European peers through mathematics mean scores, below-Level-2 shares, and top-performing shares. It then uses k-means clustering to define empirical peer groups and tests an early-warning screening exercise in which 2015/2018 information is used to classify held-out 2022 high-risk profiles. Qualitatively, it triangulates the statistical signal patterns with policy document analysis and a low-burden Grade 10 mathematics micro-study in Prishtina …

Mathematical Modeling Of Ocular Surface Deformation Due To Contact Lens Wear That Accounts For Intraocular Pressure, Riley K. Supple

Theses

Myopia is one of the most common ocular disorders, and is expected to affect approximately five billion people worldwide by 2050. One treatment currently available for myopia is soft contact lenses. In general, about one in ten Americans wear contact lenses, however one in three will stop wearing them due to discomfort. The goal of this dissertation is to develop a mathematical model that predicts the mechanical interactions between the contact lens and the ocular surface. Assuming the ocular tissue is a linear elastic material, we first develop a mathematical model to predict ocular deformation that is anatomically accurate in …

Mathamr+: A Unified Graph Neural Network Framework For Multimodal Mathematical Information Retrieval, Jacob Yoon

Theses

Mathematical Information Retrieval (MIR) focuses on developing systems that enable users to search for and retrieve documents containing mathematical content. A key challenge in building effective math-aware retrieval systems lies in jointly modeling the symbolic and operational structure of mathematical expressions together with their surrounding linguistic context. Existing approaches often use linear token sequences, losing structural information, or rely on separate models for text and math, limiting their ability to capture cross-modal patterns and learn contextualized representations. This thesis proposes MathAMR+, a graph neural network-based retrieval framework that jointly models Abstract Meaning Representation (AMR) graphs, Operator Trees (OPTs), and Symbol …

Optimizing Product Placement Using Purchase Pattern Analysis, Mohra Shamaa

Theses

Retail product placement has traditionally relied on static shelf layouts and techniques such as market basket analysis, often guided by managerial intuition and category based organization. However, such approaches frequently overlook the complexity of consumer purchasing behavior as reflected in the transactional data, and this study investigates how data driven analysis of purchase relationships can inform more effective product placement strategies in physical retail environments. Unlike the sequential models, this study focuses on co occurrence relationships due to dataset constraints, prioritizing interpretability for retail applications. Using transaction level data from the Instacart dataset, this research applies association rule mining through …