Digital Commons Network^™

The Resonance Of Desire: A Sonic Exploration And Guide To Recreating Disney’S Signature ‘I Want’ Songs, Aiyanna E. Riley

Electronic Theses and Dissertations

This thesis explores the sonic architecture of Disney’s Renaissance-era “I Want” songs and develops a framework for recreating their signature production style. This study analyzes how vocal timbre, microphone choices, layering, stereo placement, and mixing strategies contribute to the immersive qualities that define the Disney sound. Drawing from historical accounts, interviews with industry professionals, and technical literature, the thesis documents production practices unexamined in scholarly work. Inspired by David Gibson’s The Art of Mixing, my analyses prioritize spatial and textural qualities in Disney mixes, highlighting how sound design shapes narrative impact. The study culminates in two original compositions modeled …

Predicting The Next Trending Hussaini Poems: A Machine Learning Approach Based On Textual And Engagement Features, Elaf Adel Abbas

AUIQ Technical Engineering Science

Hussaini’s poem videos have garnered substantial viewership on digital platforms; nevertheless, the determinants of why just a select number achieve “trending” status remain inadequately comprehended. This study presents a machine learning approach aimed at forecasting the trending potential of Hussaini poetry videos through the integration of text- and interaction-based variables. A dataset including 270 YouTube videos was generated, encompassing each video’s title and audience engagement parameters, including views, likes, comments, duration, and upload time. Textual attributes were converted using TF-IDF representations, whereas numerical attributes were standardized and amalgamated via a unified ColumnTransformer pipeline. Five machine learning classifiers—Naive Bayes, Logistic Regression, …

Preparing Tomorrow’S Professionals: Industry-Informed Ai Integration, Brent A. Terwilliger Ph.D, John Faraca

Publications

As AI reshapes operations across aviation and aerospace, organizations are investing in ways to preserve data integrity, safeguard proprietary knowledge, and uphold critical professional competencies. This presentation shares emerging findings from a study that surveys and interviews industry professionals about their use of AI tools, their concerns about misuse, and the importance of secure, enterprise-controlled “walled garden” environments. The work explores how employers define appropriate, effective, and innovative AI adoption, particularly in roles requiring high-stakes decision-making, compliance, and technical acumen.

By analyzing organizational expectations around AI-related knowledge, skills, and abilities (KSAs), this research offers practical guidance for academic programs seeking …

A Study Of Nonlinear Duffing Equations Using The Haar Wavelet Method, Kumbinarasaiah S., Yeshwanth R., Nandeesh K C.

Mansoura Engineering Journal

The main goal of this study is to solve Duffing equations, which are nonlinear differential equations (DEs), using the Haar wavelet technique. The solutions to this equation for an externally pushed and damped oscillator show intriguing dynamic behavior. Mathematicians have recently become more interested in wavelet analysis because of its real-world applications. A few real-world problems have been considered to assess the current methodology. Here, the (OMI) Operational Matrix of Integration and collocation points transform the non-linear ODEs into a system of nonlinear algebraic equations. The resulting system of algebraic equations is then solved using the Newton-Raphson technique to retrieve …

Enhancing Nitrogen Removal In High Permeability Bioretention Media: The Combined Role Of Biochar, Wood Chips And Hydraulic Design, Joshelyn Guimaray

USF Tampa Graduate Theses and Dissertations

Urban stormwater runoff can transport high nutrient loads to receiving waters, leading toeutrophication, harmful algal blooms, and the formation of hypoxic zones. Bioretention systems are a form of green infrastructure designed to mitigate these impacts, but their application in dense, ultra-urban environments is often limited by large land area requirements. This has led to the adoption of high permeability media (HPM) to accommodate higher hydraulic loading rates (HLRs) and reduce the system footprint. However, conventional HPM systems often show inconsistent removal of dissolved nitrogen species due to short hydraulic retention times (HRTs), a lack of organic carbon, and insufficient anoxic …

Encapsulation Of Corrosion Inhibitors: Methods, Preparation, And Emerging Applications, Mahdi M. Hanoon, Baha. S. Mahdi

AUIQ Technical Engineering Science

Corrosion remains a critical global challenge, imposing substantial economic, safety, and environmental burdens across infrastructure, transportation, marine, and energy sectors. Traditional corrosion inhibitors, while effective, suffer from rapid depletion, uncontrolled release, environmental risks, and limited long-term stability. Encapsulation of corrosion inhibitors has emerged as a transformative strategy, enabling controlled and stimuli-responsive release, improved stability, and self-healing capabilities. This mini review provides a comprehensive overview of encapsulation technologies, including polymeric microcapsules, inorganic carriers, hybrid systems, and advanced nanoengineering approaches. Preparation methods, ranging from physical and chemical routes to emerging microfluidic and electrospinning techniques, are critically examined. Furthermore, the article highlights state-of-the-art …

Resonant Body Communication For Neurodivergent Contexts: A Multimodal, Temporally Elastic Blueprint For Inclusive Biometric Systems, Piper Hutson, James Hutson

Faculty Scholarship

Prevailing emotion-sensing systems privilege a facial-and-gaze paradigm that encodes neurotypical tempo, channel priority, and expression classes, thereby mischaracterizing or erasing neurodivergent communication. This article advances a design-oriented framework for biometric sensing that centers resonant body communication: temporally extended, multimodal, and environmentally situated patterns of posture, gesture, rhythm, and interoception that carry affective meaning. Through an integrative methodology that synthesizes cognitive neuroscience, embodied arts practices, and human–computer interaction, the study formalizes a theoretical model with four pillars: temporal elasticity, multimodal sensory hierarchies, resonant gestures and rhythmic entrainment, and environmental attunement. Building on this model, the article specifies technical requirements for next-generation …

Characterizing Piezoelectric-Blended Polydimethylsiloxane For Use As A Mechanoelectrical Responsive Cell Culture Substrate, Alexis P. Applequist, Lance D. Cordes, Lais A. Ferreira, Kartik Balachandran

Biomedical Engineering Faculty Publications and Presentations

In this study, we developed a piezoelectric-polydimethylsiloxane (pz-PDMS) composite by blending poly(vinylidene fluoride-co-trifluoroethylene) (P(VDF-TrFE)) with PDMS to create a biocompatible, mechanoelectrical responsive material. The pz-PDMS was synthesized with varying piezoelectric concentrations (0%, 1%, 3%, and 5%) and characterized for visual properties, mechanical properties, mechanoelectrical sensitivity, and biocompatibility. Compression testing showed no significant change in mechanical strength with the addition of piezoelectric particles, while mechanolectrical sensitivity testing revealed a non-linear increase in voltage response, with 5% pz-PDMS producing the highest sensitivity. Fatigue testing demonstrated no change in sensitivity after 7 days of cyclic displacement. Additionally, microcantilever experiments demonstrated the high fidelity …

Harnessing Electrochemical Hydrogen Evolution In Α-Fe2o3/2h–Mos2 Heterojunction: A Theoretical And Experimental Study On Electronic Modulation And Basal Plane Activation, Mohamed Sayed, Ossama Metwalli, Sameh O. Abdellatif, Kai Yin, Mohamed Saber, Ahmed Khalil, Hossam Abdelwahan

Electrical Engineering

Hydrogen production through water electrolysis is a promising method for storing renewable energy and reducing greenhouse gas emissions. However, the efficiency and stability of hydrogen production electrodes remain challenging issues. In this study, we present a rationally designed α-Fe2O3/2H–MoS2 heterojunction that unlocks the electrocatalytic potential of the inert basal plane of the semiconducting 2H–MoS2 phase. The heterostructure, synthesized via a facile hydrothermal method, features α-Fe2O3 nanocubes anchored onto flowerlike 2H–MoS2 nanosheets. The electrochemical performance of the α-Fe2O3/2H–MoS2 heterojunction electrode was evaluated by linear sweep voltammetry, Tafel polarization, and electrochemical impedance spectroscopy. The results showed that the α-Fe2O3/2H–MoS2 electrode exhibited lower …

Truck Drivers And Autonomous Trucks: A Topic Modeling Analysis Of Truck Driver Posts, Noah Britt, Amy M. Schuster, Shubham Agrawal, Chu-Hsiang Chang, Jenna A. Van Fossen, Elizabeth A. Mack, Sheila R. Cotten

Publications

Social media provides a rich, alternative data source to interviews or survey-based research to study hard-to-reach populations (e.g., truck drivers, because of their transient work structure and unique subculture). This study uses public social media posts from the largest trucking forum in the United States to examine truck drivers’ views on autonomous trucks (ATs), which are poised to transform the trucking industry. We expand on traditional qualitative strategies of analyzing social media data by combining newer methods, including BERT-based topic modeling, sentiment analysis, stance detection, emotion analysis, topic similarity, and location analysis through a social interaction network, to analyze a …

Analysis And Simulation Of The Effect Of Voids In Dually Reinforced Particle And Short Fiber Composites, Matthew Mckinley Luci

Graduate Theses - Mechanical Engineering

This thesis investigates dual-reinforced polymer composites tailored for flywheel energy storage, combining short, chopped carbon fibers for load bearing with iron particulates for multifunctionality. A unified experimental–computational workflow was developed: tensile coupons were fabricated and tested, machine compliance was quantified using neat resin and removed from all curves, and elastic moduli were extracted with robust MATLAB routines. Parallel finite-element models in ANSYS 2023R reproduced the dog-bone geometry with standardized meshing, named selections, and displacement-controlled loading. Four material states—neat resin, resin and iron, resin and short carbon fiber, and the iron and fiber hybrid— were evaluated. Results show carbon fibers dominate …

A Comprehensive Overview Of Chronic Wound Infections And Current Treatment Methods, Sarah Fakher, David J. Westenberg

Biological Sciences Faculty Research & Creative Works

Chronic wound infections pose significant healthcare challenges due to persistent biofilms, antibiotic resistance, and impaired healing pathways. These wounds are characterized by prolonged inflammation, microbial colonization, and disrupted tissue regeneration, leading to substantial morbidity and healthcare costs. This article reviews current knowledge on chronic wound types, their pathophysiology, and the mechanisms underlying biofilm formation to examine the latest advancements in antimicrobial-based strategies aimed at addressing these challenges. It highlights how diverse materials and technologies have been engineered to improve infection management, enhance tissue regeneration, and overcome the limitations of traditional treatments as well as advances that leverage innovations such as …

Few-Layered Conductive Graphene Foams For Electrical Transdifferentiation Of Mesenchymal Stem Cells Into Schwann Cell-Like Phenotypes, Ekin G. Simsar, Peifu Cheng, Tugce Dogruel, Maxsam Donta, Juhyung Jung, Naomi A. Asante, Donald S. Sakaguchi, Surya K. Mallapragada, Piran R. Kidambi, Metin Uz

Chemical & Biomedical Engineering Faculty Publications

This study investigates the potential of few-layered conductive graphene foams as 3D platforms for the electrical transdifferentiation of mesenchymal stem cells (MSCs) into Schwann cell (SC)-like phenotypes for peripheral nerve injury (PNI) treatment. The 3D graphene foams (3D-GF) are cytocompatible with MSCs and created a favorable microenvironment for the cells to attach, grow, proliferate, and transdifferentiate. We demonstrated that MSCs cultured within 3D-GF can be transdifferentiated into SC-like phenotypes using the synergistic effects of electrical stimulation and 3D porous and conductive structure. Our immunocytochemistry and gene expression analyses showed the expression of Schwann cell markers and enhanced secretion of growth …

Environmental Regulations And The Exploitation Of Deep Seabed Minerals : A New Era For The“Mining Code” Of The International Seabed Authority (Isa)?, Mikyla D'Antoinette Frederick-Winter

World Maritime University Dissertations

No abstract provided.

Oil Spill Pollution In The Caspian Sea In Case Of Azerbaijan : Evaluating Spill Patterns And Governance Gaps In Azerbaijan’S Marine Oil Pollution Response, Ulviyya Hasanova

World Maritime University Dissertations

No abstract provided.

Strategies For Increasing Methane Removal In Methanotroph Stirred-Tank Reactors For The Production Of Ectoine, Jaden Storrer, Tansley M. Mazurkiewicz, Bodee Hancock, Ronald C. Sims

Biological Engineering Student Research

Methane is a potent greenhouse gas that requires its emissions to be mitigated. A significant source for methane emissions is in the form of the biogas that is produced from anaerobic digestion in wastewater reclamation and landfill facilities. Biogas has a high valorization potential in the form of its bioconversion into ectoines, an active ingredient in skin care products, by halotolerant alkaliphilic methanotrophs. Cultures of Methylotuvimicrobium alcaliphilum 20Z were grown in bench scale stirred-tank reactors to determine factors to improve methane uptake and removal. Tangential flow filtration was also implemented for a bio-milking method to recover ectoine from culture media. …

Crisis Observatory: Extracting Credible Signals During A Crisis In The Age Of Llms, Kuan-Chieh Lo, Pranav Maneriker, Sriram Sai Ganesh, Dominik Winecki, Kelly Garrett, Ayaz Hyder, Arnab Nandi, Valerie Shalin, Shannon A. Bowen Ph.D., Amit Sheth, Srinivasan Parthasarathy

Publications

Systems for crisis response have required several different models for the analysis of unstructured text, such as identifying needs, locations, topics, routing, and matching of needs with available responders. Large Language Models (LLMs) have replaced task-specific models across various language processing tasks. However, LLMs are known to be limited by their training data, collected before the crisis. In this demo, we explore the use of LLMs for crisis response scenarios with rapidly evolving information environments. We show how the augmentation of these models with external reliable sources of crisis-specific information can help build adaptive systems for response. The demonstration video …

Core-Scale Study Of Miscible Co2 Foam–Oil Interactions, Kuvonchbek Abdirakhmonov

Theses

Foam is currently the most effective means for gas mobility control in a variety of geo-energy applications, including enhanced oil recovery (EOR), carbon capture, utilization and storage (CCUS), and aquifer/soil remediation. This study investigates the mobility control of miscible CO₂ foam in the presence of oil.

The primary objective is to quantify the impact of oil on CO₂ foam behavior under miscible conditions, specifically examining foam stability, strength, and flow regimes as influenced by oil composition and reservoir permeability. While most oils destabilize foam, few studies explore the coarsening mechanisms of CO₂ foam in the presence of miscible oils, which …

Strengthening Thailand’S Ship-Sourced Oil Spill Management : A Comparative Analysis Of Legal And Response Frameworks In Thailand, The United States, And Singapore, Supranee Wattanapongsakul

World Maritime University Dissertations

No abstract provided.

Use Of Polymer Fiber To Improve Mechanical Properties Of Hma Containing Recycled Asphalt Pavement (Rap), Ashraf Rahim, Shadi Saadeh, Hani Al Zaraiee

Mineta Transportation Institute

A great percentage of highways and roads in California are constructed with Hot Mix Asphalt (HMA), and, as California infrastructure ages, these highways and roads must be maintained and rehabilitated. Reclaimed Asphalt Pavement (RAP) is considered an excellent alternative to virgin (raw, unprocessed) materials because it reduces the use of virgin aggregate and binder. Also, the use of RAP decreases the amount of construction waste placed into landfills. This laboratory study investigated the effect of two different commercial polymer fibers on the mechanical properties of HMA with RAP. Three different HMA with RAP mixes were used in the study. One …

Sistemas De Información Geográfica En La Era De La Digitalización, Jairo Eduardo Márquez Díaz, Luis Gonzalo Benavides Ramírez, Arles Prieto Moreno, Martha Andrea Manrique Castro

Ingeniería

En la era digital, la información geográfica es esencial para la toma de decisiones en áreas como la planificación urbana, la gestión de recursos naturales y la seguridad. Los Sistemas de Información Geográfica (SIG) se han establecido como herramientas indispensables para gestionar, analizar y visualizar datos georreferenciados que permite la creación de mapas digitales y la toma de decisiones basada en evidencia. Este libro aborda los fundamentos, las tecnologías y las aplicaciones de los SIG, explorando su evolución y su potencial en un entorno digital en constante transformación. A lo largo de sus cinco capítulos, el libro aborda temas esenciales …

Development Trends And Priority Research Fields Of Electrochemical Discipline In The 15th Five Year Plan Period, Lin Zhuang, Wen-Bin Cai, Heng-Xing Ji, Qing Li, Gong-Wei Wang, Sen Xin, Qing Zhao, Fang-Yi Cheng, Yu-Guo Guo, Lan-Qun Mao, Yang Tian, Fei Wu, Li-Min Zhang, Yan Xiang, Jin-Song Hu, Rui Cao, Li Xiao, Hua-Bing Tao, Wei Xing, Dong-Ping Zhan, Hong-Gang Liao, Mei-Ling Xiao, Bin Ren, Zhang-Quan Peng, Rui Wen, Xiang Wang, Yue-Feng Song, Hou-Fu Lv, Bao-Yu Xia, Guo-Xiong Wang, Jun Cheng, Zhi-Pan Liu, Min Zhou, Bing Huang, Cun-Pu Li, Yu-Qin Zou, Shuang-Yin Wang, Hai-Bo Lin, Zi-Dong Wei

Journal of Electrochemistry

In fulfillment of the national science-and-technology development agenda, the Department of Chemical Sciences of the National Natural Science Foundation of China (NSFC) convened the Strategic Symposium on the Fifteenth Five-Year (2026–2030) Development Plan for Electrochemistry held in Xiamen on 29 August, 2025—the culminating year of the Fourteenth Five-Year (2021–2025) Development Plan. More than forty leading experts in the field of electrochemistry participated with spanning nine thematic fronts: Interfacial Electrocatalysis, Interfacial Electrochemistry for Energy Storage, Bioelectrochemistry, Electrochemistry of Hydrogen Energy, Electrochemical Micro-/Nano-Manufacturing, Operando Electrochemical Characterization, Electro-Thermal Coupling Catalysis, Theoretical and Computational Electrochemistry, and Electrochemical Synthesis. The forum assembled China’s foremost electrochemical …

Process-Driven Manufacturability Constraints In Design For Wire Arc Additive Manufacturing, Monsuru Ramoni, Sampson Gholston, Albert E. Patterson

Manufacturing & Industrial Engineering Faculty Publications

Wire arc additive manufacturing (WAAM) has emerged as a useful option for large-scale metal additive manufacturing. It has gained widespread use in the aerospace industry and other applications that require large and complex custom parts. The process is a combination of a precise control system and a welding process, typically GTAW or MIG welding. It is a member of the directed energy deposition (DED) family of AM processes. Compared with many metal AM processes, it is relatively simple and cost-effective but almost always requires a significant amount of postprocessing before parts can be used. The AM-based nature of the process …

A Radiation-Hardened 4-Bit Flash Adc With Compact Fault-Tolerant Logic For Seu Mitigation, Fnu Naveed, Jeff Dix

Electrical Engineering and Computer Science Faculty Publications and Presentations

This paper presents a radiation-hardened 4-bit flash analog-to-digital converter (ADC) implemented in a 22 nm fully depleted silicon-on-insulator (FD-SOI) process for high-reliability applications in radiation environments. To improve single-event upsets (SEU) tolerance, the design introduces a compact fault-tolerant logic scheme based on Dual Modular Redundancy (DMR), offering reliability comparable to Triple Modular Redundancy (TMR) while using two storage nodes instead of three, and a simple XOR-based check in place of a majority voter. A distributed sampling architecture mitigates SEU vulnerabilities in the input path, while thin-oxide devices are used in analog-critical circuits to enhance total ionizing dose (TID) resilience. Post-layout …

International Conference On Civil Engineering And Infrastructure, University For Business And Technology (Ubt) In Kosovo

UBT International Conference

UBT Annual International Conference is the 14th international interdisciplinary peer reviewed conference which publishes works of the scientists as well as practitioners in the area where UBT is active in Education, Research and Development. The UBT aims to implement an integrated strategy to establish itself as an internationally competitive, research-intensive university, committed to the transfer of knowledge and the provision of a world-class education to the most talented students from all background. The main perspective of the conference is to connect the scientists and practitioners from different disciplines in the same place and make them be aware of the recent …

Integrating Seismic Survey Data With Zoning Maps For Enhanced Urban Safety And Structural Resilience, Shemsi Mustafa, Visar Krelani, Besian Sinani, Hazir Çadraku

UBT International Conference

Designing a safe and earthquake-resistant environment in seismically active regions requires detailed consideration of the seismic characteristics of urban areas. This study reviews the current frameworks for earthquake risk resistance in urban areas, highlighting the critical role of integrating seismic survey data with seismic zoning maps. Such integration is essential for designers to enhance resident safety and minimize structural damage. Therefore, it is necessary to holistically integrate seismic, geotechnical, geological, topographic, and design data to provide architects and planners with relevant and practical information for construction and land-use planning. Despite this, many cities in Kosovo, located in active seismic zones, …

Data Science Against Human Trafficking: Evidence From North Macedonia, Krenar Mehmeti, Shkurte Luma Osmani, Florinda Imeri, Agon Memeti

UBT International Conference

Human trafficking is a severe yet often underreported crime in North Macedonia. With the rapid growth of technology and communication platforms, traffickers have shifted recruitment and exploitation strategies online. This project explores the patterns and trends of human trafficking in Republic of North Macedonia through and through the lens of using Data Mining and Different visual analytics. By using a structured dataset containing Victim demographics, the types of exploitation, recruitment methods and other different attributes, the analysis is Focused on identifying vulnerable groups, especially the individuals of age 18-25 and underage minors. Advanced visualizations have revealed the distribution of trafficking …

The Use Of Artıfıcıal Intellıgence For Fake News Detectıon, Altina Salihu, Diellza Berisha

UBT International Conference

The phenomenon of fake news has become a global concern, directly influencing democratic processes, social perceptions, and public security. Detecting fake news represents a critical challenge for computer science, where Artificial Intelligence (AI) offers advanced solutions through Natural Language Processing (NLP) and text classification techniques. This paper analyzes and compares the main approaches used in this field, ranging from traditional machine learning models such as Naive Bayes and Support Vector Machines (SVM) to modern deep learning architectures like Long Short-Term Memory (LSTM), BERT, and GPT-based models. Furthermore, it discusses widely adopted datasets such as FakeNewsNet and LIAR, which serve as …

An Empirical Analysis Of Requirements For An Automated Elearning Platform: The Case Of Teachers In Kosova, Bleona Çitaku, Faton Kabashi, Lamir Shkurti, Mirlinda Selimaj

UBT International Conference

This paper examines the need for developing an automated e-learning platform that supports adaptive learning for students in Kosovo. Using a mixed-methods approach—both quantitative and qualitative—the responses of 50 teachers were analyzed to understand their perceptions and the challenges associated with using platforms such as Google Classroom, Moodle, and Zoom. The findings indicate that, although there is significant potential to enhance teaching practices, key obstacles remain, including low student engagement and technological difficulties. The study suggests the development of a personalized platform powered by artificial intelligence to improve student participation and the overall effectiveness of distance learning.

German Reddit Sentiment Analysis Using Bert And Ml Techniques, Bledi Buduri

UBT International Conference

This study presents a comprehensive workflow for collecting, preprocessing, and analyzing German-language comments from Reddit for sentiment analysis. Initially, a Pythonbased scraper using the Reddit API was developed to extract topic-specific comments, which were then cleaned by removing special characters, links, and irrelevant tokens. The dataset underwent tokenization, stopword removal, and normalization using stemming and lemmatization to produce a structured corpus suitable for machine learning tasks.Sentiment classification was performed using the German BERT model (oliverguhr/german-sentimentbert), categorizing comments as positive, negative, or neutral. To further evaluate performance, vectorization techniques such as Bag-of-Words and TF-IDF were applied, followed by machine learning classifiers …