Digital Commons Network^™

Wildfire Impacts On Fluvial Hydrology From Watershed To National Scales, Paige G. Tunby

Civil Engineering ETDs

Wildfires alter the water quantity and quality in downstream river networks. Fires promote biodiversity, maintain habitat, and provide many ecosystem services in a fire-adapted landscape. However, changes in the natural fire regimes can alter ecosystem function and threaten the water security of impacted downstream communities. The magnitude, timing, and persistence of these impacts are difficult to predict due to the lack of high-resolution datasets with adequate coverage to evaluate spatiotemporal trends after a fire. This dissertation moves us beyond the status quo to evaluate post-fire fluvial responses across scales, from the event-scale impacts after the Hermit’s Peak-Calf Canyon wildfire in …

Algorithmic Sculpting Of Complex Fused Silica Surfaces For Nondestructive, Mode-Matched Cavity Quantum Electrodynamics: Adaptive Co2 Milling And Simulation-Guided Ultrafast Inscription, From Fiber Fabry-Perot Cavities To Monolithic Architectures, Meagan E. Parker

Optical Science and Engineering ETDs

Quantum sensors achieve exceptional measurement sensitivity through coherent, well-isolated quantum systems, but practical deployment is hindered by destructive readouts that require repeated state preparation and create long system dead times. Optical cavities enable continuous, nondestructive measurements with minimal back-action, yet integrating high-finesse cavities into scalable quantum devices remains limited by existing fabrication methods. To overcome these constraints, an adaptive CO₂ laser-milling platform was developed. Guided by glass thermodynamics and melt dynamics, this closed-loop system uses in-situ phase-shifting interferometry to sculpt complex fused-silica surfaces with sub-nanometer root-mean-square roughness. The platform was validated by fabricating extended-length fiber Fabry–Pérot cavities and monolithic micro-cavity …

3d Electromagnetic Simulations Of A 1.6 Cell S-Band Photoinjector: Emittance Studies For Electron Microscopy, Trudy Bolin

Electrical and Computer Engineering ETDs

Modern beam-based materials research demands electron sources with increasingly precise time resolution, high brightness, and stability. For example, there are various instruments across the U.S. dedicated to ultrafast electron diffraction (UED), but fewer are dedicated to ultrafast electron microscopy (UEM), which demands beam stability. Modeling femtosecond electron bunches with ultra-low emittance < 50 nm-rad inside a 1.6-cell S-band (2856 MHz) rf photoinjector with full 3D electromagnetic simulations can require high-performance computing (HPC) environments due to the scale disparity between the macroscopic cavity geometry and the femtosecond-scale bunch kinematics. To enable optimization in a desktop computing environment, this work presents a streamlined 3D electromagnetic Particle-in-Cell (PIC) simulation framework optimized for 400-femtosecond bunch regimes. The covariance method was employed to study emittance properties for electron bunch counts ranging from thousands to millions and has successfully resolved highly transient, pure rf phase-space rotations, such as a localized energy-spread minimum occurring at the gun exit iris. To overcome the computational cost of these simulations, a machine-learning-based Bayesian optimization approach was deployed to construct multi-objective Pareto fronts from sparse datasets. Because the simulation software is scalable from desktop to HPC facilities, the framework is ready for experiments at the National Energy Research Scientific Computing Center (NERSC) at Lawrence Berkeley National Laboratory (LBNL).

Assessment Of Anaerobic Co-Digestion Of High Strength Organic Feedstocks Diverted From Landfills, Sumaiya Sharmin

Electronic Theses and Dissertations

The increasing generation of high-strength organic wastes such as food waste and fats, oils, and grease (FOG) presents challenges for landfill capacity and waste management. Anaerobic co-digestion offers a sustainable alternative by converting these wastes into renewable energy and nutrient-rich digestate. This study evaluated the co-digestion performance of single fruit waste residuals and mixed food waste with wastewater sludge to identify substrate combinations that maximize methane production while maintaining process stability. Laboratory-scale batch experiments were conducted under mesophilic conditions using thickened waste activated sludge (TWAS) with varying proportions of food waste and co-substrates, including seaweed, aquatic weed, grease trap waste, …

Stop Blaming My Users: Illumination Of The Technocentric Mythos Bias, Ervin H. Frenzel, Richard Lightcap

Journal of Cybersecurity Education, Research and Practice

 Abstract -This conceptual essay addresses the need for systemic and systematic transdisciplinary analytical techniques within cybersecurity and technical security. This conceptual essay is contingent upon recognition that cybersecurity is not simply technical in nature, it does not need an adversary, and more importantly it is based upon systems engineering and systems thinking.  The essay contributes a socio-technical attribution chain and field-specific ontology/taxonomy which distinguish user-triggered events from root causes, latent conditions, technical debt, validation failures, governance failures, and attribution bias before assigning responsibility to end users. It systematically defines an ontology inclusive of developer technical debt, organizational debt arising from …

A Machine Learning Approach For Water Quality Assessment In The Lower Rio Grande Valley Watershed, Saika Nowshin Nowrin, Chu-Lin Cheng, Jungseok Ho, Jinwoo An, Fatemeh Nazari

Civil Engineering Faculty Publications

Water quality analysis plays an essential role in maintaining the health and sustainability of river ecosystems, especially in semi-arid regions like the Arroyo Colorado Watershed in South Texas. Since the river is a vital source of water supply for local communities, agriculture, and wildlife, it faces significant challenges and pollution from land use changes, climate variation, and agricultural runoff. Continuous monitoring and assessment of water quality parameters and their temporal variability are essential to ensure the drinking water supply and aquatic ecosystem health. However, comprehensive laboratory-based water quality investigations are often constrained by higher costs, logistical complexity, and limited manpower. …

Prepration And Characterization Of Alginate Biocomposite Films From Natural Seaweed Containing Glycerol And Silica, Bahareh Ebrahimi Mojaveri

Master's Theses

This study focuses on the development of sodium alginate, a seaweed-derived biopolymer, as a sustainable alternative to conventional food packaging films. The alginate is extracted from natural brown seaweed with a yield of 31% and is formed into alginate films by the solution casting method. This study discusses the alginate extraction and film formation techniques as well as the conditions that affect film properties. Additionally, it explores using composite formulations to enhance alginate properties through additives such as glycerol and silica. Glycerol, tested at different concentrations (15, 25, and 50 wt.%), works as a plasticizer to enhance the flexibility of …

Evaluation Of Microwave Treatment Of Pfos-Laden Granular Activated Carbon, Rachel Melo Fonseca

Electronic Theses and Dissertations

This study investigated the microwave treatment as a potential regeneration approach for PFOS-laden granular activated carbon (GAC). PFOS was used as a model legacy PFAS, and calcium was selected to examine how inorganic constituents may influence PFAS loading and fluorine behavior during treatment. Microwave temperature profiling showed that GAC temperatures increased with treatment time and power level, reaching approximately 400-950°C. Selected microwave conditions reduced PFOS-derived extractable organic fluorine (EOF), with apparent EOF reduction increasing from 65.5% after 1 min to 96.8% after 4 min. Calcium increased PFOS-derived EOF loading before microwave treatment but did not show a consistent effect on …

Vertical Alignment As A Systemic Strategy For Sustaining Workforce-Aligned K–12 Engineering Initiatives: A Collective Case Study Of District-Wide Microelectronics Integration, Greg J. Strimel, Victoria Constantine, Deana Lucas, Emily Haluschak, Yubin Lee, Morgan Hynes, Selcen Guzey, Tamara J. Moore

School of Engineering Technology Faculty Publications

Background

In response to the 2022 CHIPS and Science Act, a K–12 workforce development initiative was launched to embed microelectronics education across US school districts. To promote sustainability, the initiative employed a district-wide vertical alignment strategy that progressively integrates microelectronics content and engineering-related career experiences from kindergarten through high school. While vertical alignment is often used for curriculum planning, its broader potential as a systems-level strategy remains underexplored.

Purpose

This study investigated how vertical alignment functions within a K–12 engineering workforce development initiative, focusing on enablers/barriers toward expanding and sustaining integration efforts. The research questions addressed stakeholder experiences with the …

Nutrient Enrichment Of Palm Oil Mill Effluent Digestate (Pomed) With Fish Amino Acid And Boiler Ash For Biofertilizer Production, Aryati Putri Maharani, Ziyaulhaq Umar, Shahrul Ismail, Zulkarnaini Zulkarnaini

Journal of Environmental Science and Sustainable Development

Palm oil mill effluent digestate (POMED) has potential as a biofertilizer. However, its application is limited by unbalanced macronutrient composition, particularly low nitrogen (N), phosphorus (P), and potassium (K). This study investigated a laboratory-scale nutrient enrichment strategy for POMED using fish amino acid (FAA) as an organic nitrogen source and boiler ash (BA) as a potassium source. Nitrogen content was determined using a CHNS– O analyzer, while phosphorus and potassium were analyzed using inductively coupled plasma (ICP). Fertilizer quality was evaluated based on the standards and industrial research institute of Malaysia (SIRIM) and Indonesian national standard (SNI 2803:2010). FAA and …

Developing A Natural Language Interface For Knowledge Graphs, Ruth Assefa, Sarah Mendoza, Luke Voinov, Oyku Serap Ogut, Nurcan Yuruk

SMU Journal of Undergraduate Research

This paper proposes to solve the challenge of making databases more user-friendly by interfacing them with OpenAI's ChatGPT-3.5 model. We implemented this solution to assist researchers in easily finding others with similar research interests. Our study involves 184 researchers from 14 departments at Southern Methodist University (SMU). We collected researchers' areas of expertise and biographies and stored them in a Neo4j graph database. We used OpenAI's embedding models to create vector representations of the collected data, allowing for accurate similarity assessments via Neo4j's built-in algorithms. By integrating this system with LangChain, we enabled natural language queries. The results demonstrated high …

Straw As A Potential Vegetable Fibre Insulative Infill In Framed Constructions - Material Testing\Tnotereftnote1, Patrick Daly

Journal of Sustainable Construction Materials and Technologies

The construction sector faces increasing pressure to reduce embodied carbon and adopt circular material strategies, with bio-based materials offering a promising pathway. Straw-based insulation, particularly in loose-fill form, has gained traction in Europe, where several products have achieved certification under EAD 040138-01-1201. This study investigates the potential of Irish-processed straw chip as a bio-based insulative infill for framed construction by evaluating its material properties and thermal conductivity–density performance relative to European ETA-certified reference products. A programme of laboratory testing was undertaken on commercially available Irish straw samples, including material characterisation (moisture content, particle morphology, and dust content) and thermal conductivity …

Development And Characterization Of Mycelium-Based Biocomposites From Ganoderma Lucidum Using Spent Yerba Mate And Residual Sunflower Oil For Sustainable Insulation In Construction, Paula V. Alfieri, Guadalupe Canosa

Journal of Sustainable Construction Materials and Technologies

The construction industry urgently requires sustainable alternatives to petroleum-based insulation materials such as expanded polystyrene (EPS) and mineral wool. Mycelium-based biocomposites offer a promising solution by valorizing agricultural waste while delivering competitive thermal and acoustic performance. In this study, developed and characterized biocomposites using Ganoderma lucidum mycelium combined with spent yerba mate and residual sunflower oil (70 g/30 mL), both commonly generated as waste in Argentine institutions. Two formulations were evaluated: high density (HD: 280 ± 5 kg/m³) and low density (LD: 185 ± 5 kg/m³). Samples were cultivated for 90 days at 28 °C and 65% relative humidity and …

Instructional Slides From Molten Salt Electrochemistry Symposium (Moses) 2026, Devin Rappleye, Carlos Mejia, Alex Peroff

Faculty Publications

This instructional slide set was developed for the 2026 Molten Salt Electrochemistry Symposium (MoSES) as an introduction and review of fundamental electrochemical concepts and methods used in molten salt systems. The material is intended for students, researchers, and practitioners seeking to better understand and interpret electrochemical measurements in high-temperature molten salts.

Topics include electrochemical thermodynamics, kinetics, mass transfer, electrode potentials, cyclic voltammetry, chronopotentiometry, chronoamperometry, square-wave voltammetry, electrochemical impedance spectroscopy (EIS), and common approaches for analyzing electrochemical data. Emphasis is placed on building physical intuition, understanding underlying assumptions, recognizing common experimental artifacts, and connecting electrochemical signals to real chemical and transport …

Understanding Transgender And Gender-Nonconforming Students’ Experiences In Precollege Engineering Education: A Latent Profile Analysis, Jialing Wu, Medha Dalal, Rachel Figard, Adam R. Carberry

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

Promoting gender equity and inclusion in STEM education remains a central priority, yet empirical research inclusive of transgender and gendernonconforming (TGNC) students is limited, particularly in precollege engineering contexts. This study leverages social cognitive career theory (SCCT) to identify latent profiles of students’ engineering-related beliefs while examining how TGNC students are represented across these profiles relative to their cisgender and gender nonreporting peers. The study draws on four years (2019–2023) of repeated cross-sectional survey data from a national precollege engineering initiative involving 75 high schools across 20 US states. Seven SCCT-related constructs were measured and used as part of latent …

Identifying Failure Behaviors In Stereolithography From Varied Print Orientations, Kevin Veltre

Theses and Dissertations

Stereolithography (SLA) is an additive manufacturing (AM) technique that utilizes photopolymerization to create three-dimensional shapes by strategically printing layers of material. Printing parameters such as layer orientation, print resolution and post cure can affect a specimen’s homogeneity, longevity and mechanical characteristics. Because of this variability, print parameters must be carefully considered when designing products and print processes for desired components, as manufacturers often fail to include all relevant print settings when advertising mechanical properties. For this study, 130 SLA-printed specimens were created with 100-micron print layer thickness and print orientations varying between 0 and 90, including intermediate orientations, to observe …

Towards 2035: Future Forms And Strategic Path Of Chinese Agriculture, Liu Tao, Zeyu Yang, Zhaohui Dong

Bulletin of Chinese Academy of Sciences (Chinese Version)

Agricultural modernization is an integral component of the national modernization. Toward 2035, China’s agricultural system confronts multiple challenges, including increasing resource and environmental pressures, rapid upgrading of residents’ consumption structure, and in-depth adjustments in the international supply chain pattern. Meanwhile, it also embraces a series of opportunities brought by transformations in agricultural production technologies and models driven by artificial intelligence, biotechnology, and engineering technology. Based on the perspective of national medium and long-term development strategy, this study sorts out the internal constraints, external opportunities, and development drivers faced by China’s agriculture. It explores six major strategic trends—ecological, intelligent, customized, facility-based, …

Provocable Forgiveness In Noisy Brand--Consumer Systems:An Agent-Based Study Of Repeated Interaction, Tahere Ahmadiyan, Hamidreza Navidi, Behbod Keshavarzi

Northeast Journal of Complex Systems (NEJCS)

Repeated brand--consumer exchange is often treated as a managerial problem of loyalty, recovery, and trust. It can also be read as a small complex system: many local decisions about cooperation, retaliation, and forgiveness accumulate into market-level selection. This study uses that perspective to examine which relational rules survive when communication is imperfect. Eight canonical Iterated Prisoner's Dilemma strategies are translated into marketing archetypes and evaluated through round-robin tournaments, a six-level noise sweep, proportional-fitness ecological dynamics, and finite-population Moran invasion tests. The tournament leaderboard is calculated without same-strategy self-play, so that reported payoffs reflect inter-archetype competition rather than homogeneous self-coordination. At …

Explainable Machine Learning For Biomedical Diagnostics: Optical Imaging And Eeg Signal Analysis, Fozia Rajbdad

LSU Doctoral Dissertations

The growing convenience of complex biomedical data begins new roads for better disease detection and functional identification via artificial intelligence (AI). Nevertheless, conventional analysis methods often rely on basic metrics that drop sensitive biotic differences, and various AI systems are difficult to infer, limiting their clinical reliability and practical use. There is a growing need for explainable, physiologically relevant computational models that can extract key biomarkers from diverse biomedical data sources. This dissertation addresses this problem by obtaining explainable machine learning and deep learning procedures for studying biomedical signals and optical imaging data.

This dissertation is divided into two parts; …

Interstitial Fluid N-Glycans Serve As A Proxy For Serum Biomarker Discovery In A Pilot Study, Radka Saldova, Talus K. Gaymore, Caitriona Walsh, Eder Zavala, Paula M. Mendes

Student Papers, Posters & Projects

Protein glycosylation is the most prevalent post-translational modification and is known to undergo profound alterations in disease. While serum N-glycosylation has been extensively studied, interstitial fluid is gaining prominence as a minimally invasive biomarker source, underscored by the widespread clinical adoption of wearable glucose monitors in diabetic patients. However, the glycomic landscape of interstitial fluid remains largely unexplored. Here, we have performed a comparative analysis of the N-glycome from interstitial fluid and matched plasma from five healthy volunteers using liquid chromatography, mass spectrometry and exoglycosidase digestions. Strikingly, the interstitial fluid N-glycome closely shows overlapping profiles with the plasma of each …

Singulars: Performing The Reverse Turing Test, Halim Madi

ELO (un)supervised 2026

Singulars is an ongoing series of performance systems in which I co-create poetry with a language model trained on an anthology of English poetry alongside my own writing. Across three works—carnation.exe, versus.exe, and reinforcement.exe—I stage live reinforcement loops in which my poems and the model’s responses compete for audience votes. The audience functions as an embodied feedback mechanism, shaping the evolution of both the machine and the human poet in real time.

This paper examines what happens when a poet becomes both author and training data. Drawing from creativity research, metacognition, and social cognition, I reflect …

Proceedings: Nownet Arts Conference 2019, Sarah Rose Weaver, Chris Chafe, Scott Oshiro, Margaret Schedel

Journal of Network Music and Arts

Proceedings of the 2nd Annual NowNet Arts Conference 2019 “Social Purpose in Contemporary Network Arts.” The conference was held November 7–10, 2019. The primary in-person site was the Institute for Advanced Computational Science (IACS), Stony Brook University. Satellite in-person sites included Center for Computer Research in Music and Acoustics at Stanford University, Edinburgh Napier University, Orpheus Institute in Belgium, and Electronic Studios at the Technical University, Berlin. More locations participated remotely via the internet.

Proceedings: Nownet Arts Conference 2018, Sarah Rose Weaver, Chris Chafe, Margaret Schedel, Min Xiao-Fen

Journal of Network Music and Arts

Proceedings of the NowNet Arts Conference 2018, “Network Music: Artistic and Technological Strategies for Public and Private Networks.” This was the first of the NowNet Arts Conferences, which have been held annually from 2018 to the present. The conference took place from April 19–22, 2018, at the Institute for Advanced Computational Science (IACS), Stony Brook University, and at multiple remote locations connected via the internet.

Evolutionary Neural Architecture Search: A Survey, Ferda Nur Özçeli̇k, Mehmet Önder Efe

Turkish Journal of Electrical Engineering and Computer Sciences

Deep Neural Networks (DNNs) have achieved remarkable success across diverse machine learning applications, yet designing effective architectures remains a laborious, expert-driven process. Neural Architecture Search (NAS) was introduced to automate this process, with Evolutionary NAS (ENAS) emerging as one of the most effective and widely adopted NAS paradigms. This survey provides a comprehensive and systematic review of 164 ENAS studies published between 2020 and 2024, categorized according to the specific evolutionary algorithm employed as the search strategy. Unlike prior surveys—which either treat evolutionary methods at a high level or focus on general NAS pipelines—this study is, to the best of …

Cnkg: Harnessing Large Language Models For Cognitive Neuroscience Knowledge Graph Construction, Ali Sarabadani, Kheirollah Rahsepar Fard, Hamid Dalvand

Turkish Journal of Electrical Engineering and Computer Sciences

Textual resources are among the most valuable sources of information in cognitive neuroscience (CN) for understanding and investigating brain activity and cognitive processes. Extracting and constructing knowledge graphs (KGs) from these texts can facilitate medical research by providing deeper insights into neurological diseases and brain function. In recent years, the use of large language models (LLMs) in natural language processing (NLP) has become increasingly widespread, significantly enhancing the extraction of meaningful information from large volumes of text. This study proposes a novel approach for constructing and evaluating a specialized knowledge graph, termed the cognitive neuroscience knowledge graph (CNKG), from scientific …

Mxene-Based Optical Fiber Sensors For Chemical And Biosensing: Review And Perspectives, Chen Zhu, Huaijun Guan, Chenxi Huang, Rex E. Gerald, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

Chemistry Of Co2 Capture And Storage: From Molecular Interactions To Advanced Functional Materials, Nany Hairunisa, Hazim F. Abbas, Amamer M. Redwan

Al-Mustaqbal Journal of Sustainability in Engineering Sciences

In light of the industrial development taking place, the burning of fossil fuels for transportation and electricity generation, and the accompanying carbon dioxide emissions, there is an urgent and continuing need to innovate methods of capture and storage, as well as competitive materials to address increasing carbon emissions. This review describes the importance of this procedure and the technologies that help solve this problem, some of which have been adopted by many countries and industrial institutions and differ in their efficiency, cost, and applicability.

Design, Fabrication, And Performance Evaluation Of A Recycling Machine For Converting Biodegradable Waste Into Compost, Mohamed T. Eraky, M.M Radwan, Abdelkhalik Eladl

Mansoura Engineering Journal

This study evaluates the technical feasibility of composting shredded printed paper blended with organic waste using a manually operated aerobic composting system. The investigation focused on process performance under controlled initial conditions, particularly an optimized carbon-to-nitrogen (C:N) ratio of 30:1. Three composting piles were constructed with systematic variations in moisture content, aeration frequency, and additive composition (poultry manure, yeast, crushed eggshells, and cardboard) to assess their influence on thermal behavior and decomposition efficiency. Process performance was monitored through continuous temperature profiling and periodic observation of physical parameters, including color development and material degradation rate. Among the experimental setups, Pile 3 …

Evaluation Of Optimal Force For Intrusion Of A Periodontally Compromised Maxillary Anterior Dentition Treated With Fixed Orthodontics – A Finite Element Analysis, Tanzim Ahmed, Amrita Puri, Aatira Nair, Anshul Singla, Mathew Koshy Vaidyan, Shruti Sharma, Chhavi Singh

International Arab Journal of Dentistry

Introduction: Adult orthodontic treatment is increasingly sought due to aesthetic and functional concerns, often involving periodontally compromised patients with altered biomechanics. Reduced bone support shifts the center of resistance and necessitates lower, carefully controlled forces, while finite element modeling has become a key tool to analyze tissue response under such conditions.

Objectives: The study aimed to determine the optimal intrusive force for periodontally compromised maxillary anterior teeth using Finite Element Analysis (FEA).

Methods: A 3D finite element model of the maxillary anterior dentition was created and divided into healthy and compromised halves, the latter with one-third alveolar bone loss. A …

Antropometri Tangan Penduduk Kota Ambon Sebagai Dasar Perancangan Ergonomis, Puan Maryam Leaongso, Wilma Latuny, Aminah Soleman

National Journal of Occupational Health and Safety

The limited availability of hand anthropometric data for the Indonesian population, particularly for the residents of Ambon City, may affect the accuracy of designing ergonomic products, work equipment, and public facilities. This study aimed to measure and analyze 25 hand dimensions of the Ambon City population based on gender and age, and to compare the measurement results with national anthropometric data. This research employed a quantitative method with a descriptive design through an anthropometric approach. Data were collected directly from 200 respondents, consisting of 100 females (aged 18–40 years) and 100 males (aged 20–40 years). Data analysis was performed using …