Digital Commons Network^™

Ai-Driven Stratified Modeling For Early Liver Disease Detection: A Comparative Study Of Ensemble And Conventional Machine Learning Classifiers, Ghadeer Murtadha Ali, Ali Aqeel Hadi, Mustafa Abdulkareem Abbas, Abdullah Alkarar Mohammad, Ahmed Fadhil Abdulhussein

AUIQ Technical Engineering Science

Background: Early prediction of liver disease remains challenging in routine clinical diagnostics due to the multifactorial nature of hepatic dysfunction and the limited discriminative capacity of conventional laboratory-only assessments.

Objective: This study aims to develop and rigorously evaluate a robust machine learning framework for binary liver disease classification, emphasizing predictive stability, diagnostic balance (sensitivity–specificity), and statistical reproducibility across repeated experiments.

Methodology: A structured dataset of 1,700 records with 11 features representing demographic, behavioral, genetic, and clinical determinants was used to train and compare five supervised models: CatBoost, AdaBoost, Random Forest, Support Vector Machine (SVM), and Decision Tree. Performance was assessed …

Human-Machine Communication: Complete Volume. Volume 12

Human-Machine Communication

This is the complete volume of HMC Volume 12.

Whole Earth Machines: Human-Machine Communication For A Green Transition, Klaus Bruhn Jensen

Human-Machine Communication

The climate crisis of the 21st century represents an existential risk to humanity and biodiversity, posing essential questions of how communication may serve to coordinate mitigation of and adaptation to climate change. One recent response has been massive investments by governments and corporations in systems providing feedback on the state of Earth— Whole Earth Machines (WEMs). For human-machine communication (HMC) studies, WEMs invite sustained engagement with communication infrastructures as a key constituent of research agendas, beyond the interface encounters at the center of many HMC studies to date. The article presents a conceptualization and operationalization of WEMs as critical infrastructures …

The Effect Of The Socioeconomic Variety In Greater Cairo On Transport Mode Choices, Rafik Yanni

Theses and Dissertations

In the last decade, Egypt has experienced a noticeable upgrade in its infrastructure investment, implementing a lot of transport projects, especially in the Greater Cairo region. In a city with over 20 million residents, variations lie in socioeconomic elements like income, age, gender, and neighborhood, which shape people’s choice of mobility modes based on their culture and lifestyle. The questions then become: whom are these new projects targeting? What are the barriers to using these services? And is there any willingness to change commuting habits if conditions changed? This thesis investigates how the socioeconomic variety in Greater Cairo metropolitan region …

A Modular Llm Approach To Argument Extraction In Philosophical Texts, Nate Miller

Masters Theses

Engaging with philosophical works is a rewarding but demanding task that challenges both human readers and computational systems designed to extract arguments from dense philosophical reasoning, and although large language models (LLMs) have made substantial progress in argument extraction, the most advanced models are often costly to run. As a result, there is growing interest in determining if multi-agent pipelines that divide a task into smaller stages can reduce cost while maintaining or improving performance.

This study investigates a modular multi-agent approach for extracting arguments from philosophical texts using LLMs, and compares its performance, cost, and runtime to both single-agent …

Conserved Chromatin Programs Orchestrate Cardiac Cell States In Health And Disease And Drive Cardiomyocyte Proliferation After Injury, Xiaoxiao Geng

ETDs from 2020-2029

Chromatin structure is a central regulator of gene expression and cellular identity, yet the chromatin structural factors driving cardiac disease and regeneration remain incompletely defined. This dissertation investigates how modulation of chromatin architecture shapes pathological and regenerative cardiac phenotypes through integrated single-cell transcriptomic, epigenomic, and functional analyses. To determine whether chromatin structural regulators distinguish healthy from diseased cardiac states, we curated a comprehensive list of chromatin structural genes and applied it to single-nuclei RNA sequencing datasets from human hearts with and without dilated cardiomyopathy (DCM). Chromatin structural gene expression effectively stratified cardiomyocyte and fibroblast populations by disease status. Diseased cardiomyocytes …

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Roy Kravitz, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Multiple Additional Authors

Electrical and Computer Engineering Faculty Publications and Presentations

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

The Risc-V Fpga (Rvfpga) Teaching Package, Daniel Chaver, Sarah Harris, Luis Pinuel, Olof Kindgren, Zubair Kakakhel, Chris Owen, Jose I. Gomez-Perez, Fernando Castro, Katzalin Olcoz, Julio Villalba-Moreno, Alexander Grinshpun, Freddy Gabbay, Luke Seed, Rui Duarte, Manuel Lopez, Oscar Alonso, Robert Owen

Electrical & Computer Engineering Faculty Research

RISC-V is a free and open-standard ISA based on RISC principles, allowing anyone to design, manufacture, and sell RISC-V chips and software. Its flexibility and growing ecosystem have made it popular in research, education, and industry, increasing the need for educational materials. This paper provides an in-depth description of the RVfpga course, which offers a solid introduction to computer architecture using the RISC-V instruction set and FPGA technology. It focuses on providing hands-on experience with real-world RISC-V cores, the VeeR EH1 and EL2 cores, developed by Western Digital and hosted by ChipsAlliance. The course targets students and educators in computing-related …

Understanding Mobility Limitations And Public Transportation Accessibility For People With Disabilities, Jada Meria Stringer

ETDs from 2020-2029

Mobility for people with disabilities (PWDs) depends on both the availability of transportation and public services and the accessibility of these systems. The presence of public transportation systems does not ensure usability. Vehicles, infrastructure, and the built environment must be designed to accommodate diverse physical, sensory, cognitive, and other needs. PWDs must also be able to navigate public buildings and surrounding spaces safely and comfortably. This thesis examines mobility limitations for PWDs in India and the United States, focusing on accessibility along the full mobility chain. A review of existing literature provides context on accessibility policies, design standards, and the …

Biomineralization Of Low Temperature Plasma(Ltp) Modified Polymeric Biomaterials And Scaffolds, John Patrick Bradford

ETDs from 2020-2029

Bio-integration, specifically osseo-integration of bone implants and scaffolds, are vital for the success of implants and bone tissue engineering (BTE). Calcification can be defined as the deposition of calcium compounds as either calcium phosphate(CaP) minerals consisting of hydroxyapatite(HAP) or CaP salts. The significance of the variety of phases of CaP is that mature bone matrix is composed of 65% CaP mineral. Many investigators have attempted to model the natural matrix by producing materials containing calcium phosphate in both amorphous CaP or in the more crystalline HAP form, with biomaterials (both synthetic and biological). Biomimetic CaP formation is a sign of …

Investigating Stromal Cell-Mediated Biomechanics For Angiogenesis And Reperfusion In A 3d Microfluidic Model For Ischemic Vascular Disease, Vaishali Bala

ETDs from 2020-2029

Peripheral artery disease (PAD) affects millions worldwide, causing tissue ischemia and impaired healing due to insufficient blood flow. Current therapeutic strategies to promote revascularization remain limited, largely because the mechanical regulation of angiogenesis is poorly understood. While biochemical growth factors like VEGF have been extensively studied, the role of mechanical forces generated by stromal cells in the perivascular matrix remains underexplored. This dissertation investigated how stromal cell contractility drives vascular growth through mechanotransduction pathways and modulation of endothelial cell-cell junctions. Using 3D fibrin or fibrin-collagen-I-based microtissues and compartmentalized microfluidic devices, we characterized the mechanical phenotypes of multiple fibroblast populations and …

Hybrid Quantum-Classical Optimization Of The Resource Scheduling Problem, Tyler Christeson, Md Habib Ullah, Ali Arabnya, Amin Khodaei, Rui Fan

Electrical and Computer Engineering: Faculty Scholarship

Resource scheduling is critical in many industries, especially in power systems where the Unit Commitment (UC) problem determines the on/off status and output levels of generators under physical and economic constraints. Traditional exact methods, such as Branch-and-Bound, Branch-and-Cut, dynamic programming and mixed-integer linear programming (MILP), remain the backbone of UC solution techniques, but they often rely on linear approximations or exhaustive search, leading to high computational burdens as system size grows. Metaheuristic approaches, such as genetic algorithms, particle swarm optimization, and other evolutionary methods, have been explored to mitigate this complexity; however, they typically lack optimality guarantees, exhibit sensitivity to …

Systemic Drug Delivery In Pigs Using Biodegradable Microneedle Patches, Katherine A. Miranda-Munoz, Tsungcheng Tsai, Jacy Riddle, Ke He, Lee Blaney, Jeremy Powell, Jorge Almodovar

Biomedical Engineering Faculty Publications and Presentations

Transdermal microneedle systems offer a minimally invasive strategy for systemic drug delivery in veterinary medicine. In this study, biodegradable microneedle patches composed of polyvinyl alcohol, collagen, and chitosan were evaluated in pigs for the delivery of two model compounds, fluorescein isothiocyanate-dextran (FITC-dextran, 4 kDa) and flunixin meglumine (FLU). Patches were applied to the ear and neck to assess the influence of anatomical site on systemic absorption. FITC-dextran delivered via a single 50 mg patch on the neck achieved approximately 1.2-1.4-fold higher plasma concentrations than oral administration and ear-applied patches, demonstrating enhanced uptake from vascularized regions. FLU patches applied to the …

Research Progress And Prospects Of Full Flowsheet Coal-Based Ccus, Sang Shuxun, Liu Shiqi, Zheng Sijian, Huang Fansheng, Liu Tong, Chen Siming, Zhou Xiaozhi, Han Sijie, Tian Yuchen, Xiang Wenxin, Bai Yansong

Coal Geology & Exploration

Background The engineering-oriented, full flowsheet coal-based carbon capture, utilization, and storage (CCUS) technology is the key to efficient, clean coal utilization and carbon emission reduction. It represents a major technology that is urgently needed to ensure the energy security of China and achieve the strategic goals of peak carbon dioxide emissions and carbon neutrality of the country. Based on previous research efforts of the authors’ team, this study reviews the current status of this technology, reveals its integration mechanisms, and attempts to establish a pattern and scheme for CCUS cluster deployment in coal energy bases. Furthermore, it discusses the future …

Reaction Mechanisms During Co2 Absorption In Ethanolamine Solutions, Teng Weiwei, Wu Yan, Fan Yuxin, Liao Tao, Wang Zicheng, Yu Hui, Li Meng, Xu Xiaoling

Coal Geology & Exploration

Objective Presently, CO₂ capture technology based on the ethanolamine solutions suffers from drawbacks such as high energy consumption and elevated costs. A primary method to address these challenges is to construct blended amine solutions by synergistically integrating the absorption and desorption advantages of different types of ethanolamines. Hydroxyethyl ethylenediamine (AEEA) and N-methyldiethanolamine (MDEA) represent two major commonly used absorbents, and their blending necessitates an accurate understanding of their CO₂ absorption patterns, including CO₂ loading capacity, the ion-concentration distribution patterns of reaction products, and reaction orders. Currently, their absorption mechanisms remain poorly understood, and there is a lack …

Advances And Prospects Of Research On In Situ Co2 Mineralization Storage In Basalts, Wang Xiao, Wu Bin, Shi Xiangchao, Ye Zhongbin, Wei Bing, Wang Guanhua, Alvarado Vladimir, Huang Kailin, Yang Zeyong

Coal Geology & Exploration

Background CO₂ storage in basalts, enjoying distinct advantages of rapid mineralization and high safety, has gradually emerged as a hot research topic both in China and abroad. This study presents a systematic review of the current status of research on the mechanisms of in situ CO₂ mineralization storage, the evolutionary characteristics of the physical properties of strata under the condition of mineralization reactions, and representative demonstration projects. On this basis, the future research directions are proposed. Advances The in situ CO₂ mineralization storage in basalts is essentially a process of CO₂-water-rock reactions, achieved primarily through …

Advances In Research On The In Situ Co2 Mineral Trapping In Buried Volcanoes, He Yanxin, Tian Wei, Xian Benzhong, Liu Pingping, Wei Mingcong, Wei Qiwen, Deng Xuanyu, Liu Jianping, Gu Jiapeng

Coal Geology & Exploration

Objective and Methods Driven by the goal of carbon neutrality, geologic CO₂ storage has become a critical national priority in China. Compared to conventional reservoirs in sedimentary basins, such as saline aquifers, depleted hydrocarbon reservoirs, and unmineable coal seams, basaltic formations offer more significant advantages in geologic CO₂ storage. Specifically, basaltic formations can form stable carbonates through reactions between CO₂ and rock minerals while also exhibiting extensive distribution, considerable potential for CO₂ storage, and low risk of CO₂ leakage. The engineering feasibility of geologic CO₂ storage in basaltic formations has been validated by the …

Advances In Research On Geochemistry Of Co2 Storage In Basalts: Microscopic Mechanisms And Reaction Pathways, Ma Shijia, Xia Changyou, Gao Zhihao, Rui Zhenhua, Liang Xi

Coal Geology & Exploration

Objective and Method The urgent need to reduce global greenhouse gas emissions has driven the development of CO₂ mineral trapping in basalts. To gain further insights into the microscopic mechanisms and reaction pathways of the mineral trapping, this study systematically reviews the geochemical reaction mechanisms involved, with a particular focus on the differences in reaction pathways between supercritical and dissolved CO₂ injection, the coupling between mineral dissolution and carbonate precipitation, and the key factors influencing these reactions. Advances In the case of supercritical CO₂ injection, CO₂ mineral trapping is achieved through multi-step coupling reactions in nanoscale …

Statistical Analysis Of Log Transformation Effectiveness In Air Traffic Movement Forecasting During Covid-19 In South Africa, John Lehlaka Masekoameng

Journal of Aviation Technology and Engineering

This study evaluates the effectiveness of log transformation in enhancing multiple regression models used to forecast air traffic movements (ATMs) in South Africa during the COVID-19 pandemic. Using 60 monthly observations from October 2016 to September 2021, the analysis incorporates variables such as revenue, lockdown levels, COVID-19 metrics, exchange rates, gross domestic product, and population. Two models are compared: one using raw ATMs and another with log-transformed ATMs as the dependent variable.

While the untransformed model shows stronger explanatory power (R² = 0.904, adjusted R² = 0.891) compared to the log-transformed model (R² = 0.772, adjusted R² = 0.741), the …

Advanced Qualification Program Assessments In Aviation Higher Education: A Theoretical Framework, Jorge L. D. Albelo Ph.D., Victor M. Fraticelli Rivera Ph.D.

Journal of Aviation Technology and Engineering

This study investigates the integration of an Advanced Qualification Program (AQP)-centered approach into aviation higher education, aiming to refine assessment methods and enhance the educational experience of future aviation professionals. Guided by research questions exploring the strengths, limitations, key characteristics, and potential improvements of AQP-centered assessments, the study reveals a strong consensus among students and faculty. The AQP model, traditionally an alternative to conventional pilot training under 14 CFR Parts 121 and 135, offers a structured, industry-relevant framework emphasizing clear evaluation processes, multilevel knowledge and skill assessments, and high academic performance. Findings indicate that effective AQP assessments balance theoretical knowledge, …

Integrating Human Factors, Technology, And Mental Health: A Mixed-Methods Framework For Aviation Maintenance Safety In The Philippines, Arthur Dela Peña

Journal of Aviation Technology and Engineering

A complex interaction of human factors, mental health, organizational dynamics, and emerging technologies influences aviation maintenance safety in the Philippines. This study aims to develop an integrated framework to address these aspects and reduce maintenance-related errors. Using a mixed-methods approach based on Creswell’s pragmatic paradigm, the research surveyed 200 participants, including aviation maintenance technicians (AMTs), supervisors, and managers, and conducted in-depth interviews and focus groups. Quantitative analysis revealed that fatigue was a significant contributor to maintenance errors, accounting for 45% of recorded incidents and exhibiting a strong correlation with error rates (r = 0.71, p = 0.005). Incorporating human factors …

Exploring The Reduction Of Runway Incursions Through Training, Vasilios (Billy) Constaintine Metallinos

Journal of Aviation Technology and Engineering

Runway incursions are prevalent aviation safety issues that result in adverse outcomes. The focus of this qualitative case study was exploring the reduction of runway incursions through training for pilots. Applying social cognitive theory (SCT) provided this study with a theoretical underpinning. Conducting interviews and a focus group with 17 participants allowed for the collection of enough data and resulted in identifying the importance of training in preventing runway incursions. Based on the thematic analysis conducted, it was identified that evidence-based, scenario-based, and continuous training can be used to reduce runway incursions caused by pilot deviations. The results contribute to …

Advanced Control Strategy For Photovoltaic Dc Microgrids Using Model Predictive Control With Rl Filter Enhancement, Yagub Suleymanov

Student Theses and Dissertations

This thesis presents the modeling and control of a photovoltaic (PV)-based DC microgrid using MATLAB/Simulink. A DC–DC converter with a buck stage is employed to perform a better maximum power point tracking (MPPT) and voltage regulation from PV panel. Predictive control method (MPC) algorithm will be employed, which offers faster transient response and reduced oscillations compared to traditional techniques. Considering the existing works, this study introduces an additional RL filter branch to further improve the stability of the regulated DC bus voltage combining MPC method and Incremental Conductance Maximum Power Point Tracking (IC-MPPT) algorithm. To ensure stable operation of the …

Ai-Driven Automatic Fault Detection Systems: Revolutionizing Modern Smart Grids, Aravind Sanikommu

Student Theses and Dissertations

The increasing complexity of current power systems, resulting from the integration of distributed generators and renewable energy sources, necessitates intelligent and adaptive fault detection schemes. Traditional protection using impedance and phasor analysis is usually weak when operating in nonlinear and transient operating conditions. Consequently, the tools of Data-driven fault classification and decision-making have gained strength under artificial intelligence (AI) and machine learning (ML) to improve grid reliability. This thesis is a proposal of an automatic fault detection and classification system based on AI applied to a smart mini-grid setting built in MATLAB/Simulink. A complete set of voltage and current data …

Can I Be An Engineer? Factors Influencing Women’S Decisions To Pursue Undergraduate Engineering Studies In The Middle East And North Africa, Rasha Malaeb, Elsa Maalouf, Aya Mouallem, Jana Sabra

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

In the Middle East and North Africa (MENA), different institutional and cultural factors seemingly play a significant role in influencing women’s decisions to enroll in undergraduate engineering programs. In this work, we aim to uncover key influences that affect young women’s decisions to pursue undergraduate engineering studies in Lebanon, an Arab country in the MENA region. First, we conducted a survey during a student-led engineering summer program in 2024 at the Maroun Semaan Faculty of Engineering and Architecture at the American University of Beirut. The survey participants were 47 high school female students from diverse regions and backgrounds in Lebanon. …

When Disasters Trigger Cyber Vulnerabilities: Mapping Physical-Digital Interdependencies In Critical Infrastructure Systems, Dikshya Panta, Sicheng Wang, Aditya Sapkota, Prakash Ranganathan

Faculty Publications

Critical infrastructure (CI) systems such as power, water, communications, and emergency services are increasingly exposed to compound risks in which natural disasters and cyber incidents interact and amplify one another. Traditional risk assessments often isolate physical and digital threats, overlooking the cascading dependencies that emerge when operational stress, emergency reconfiguration, and adversarial exploitation coincide. This study conducts a 2019–2025 scoping review and introduces a Geographic Information System (GIS) driven six-stage disaster cyber compounding framework that characterizes, maps, and operationalizes compound risk across interdependent CI sectors. The framework integrates a common operating picture, analytic situational understanding, exposure mapping, threat-fingerprint encoding, detection …

Developing A Collaborative Tool To Foster Communication In Sustainability Research, Nina Hunter, Noëlle-Laetitia Perret, Martin Klepal

Electrical & Electronic Engineering

Climate change necessitates urgent responses based on knowledge produced by teams that transcend disciplinary boundaries, and with members whose work focuses on the generation of knowledge and on the application of knowledge, with some integrating both. Almost a third of Europe’s building stock consists of heritage buildings requiring renovation that is ideally sustainable as part of an energy transition response. The European transdisciplinary CALECHE study team with use-cases in France, Italy, Sweden and Switzerland aims to support decision-making on the sustainable renovation of heritage buildings, via research that employs co-design. However, team members are from various disciplines, with different skillsets …

Intrusion Detection In Cloud Computing Using Support Vector Machine And Fast Firefly Algorithm, Ayobami Taiwo Olusesi, Ignatius Kema Okakwu, Ayodeji Akinsoji Okubanjo, Ayo Isaac Oyedeji, Oluwaseyi Olawale Bello

AUIQ Technical Engineering Science

Cloud computing has become popular due to the ongoing developments in the Internet and technical advancements. Users are increasingly storing their Web resources and data in the cloud environment due to the convenience and reduced cost of cloud computing services. Data security is crucial to the development of communication systems in cloud computing. Since data in cloud storage environments needs to be protected from intruders, network security in cloud environment has grown significantly in importance in recent years. In order to address these challenges, there is a need for an intrusion detection system (IDS) that can effectively identify malicious attack …

3d Reconstruction For Stadium Cad Drawings Based On Graphic Element Arrangement Pattern Analysis, Shang Ma, Mengyu Zhang, Lan Zhang, Gang Yang

Journal of System Simulation

Abstract: To address the issue of the time-consuming and labor-intensive manual conversion of two-dimensional CAD design drawings of buildings into three-dimensional models, and leveraging the characteristic that stadiums contain a large number of repetitively and regularly arranged objects, this study proposes a similar graphical element detection algorithm. This algorithm detects similarities between graphical elements by constructing their bounding boxes and calculating the L2-Norm distance, identifying all graphical elements of the same type within the CAD drawing. Furthermore, a transformation sequence detection algorithm is proposed. Based on the geometric transformation relationships between graphical elements, a geometric transformation space is defined. By …

Virtual Reality Rehabilitation Training System Based On Multimodal Brain-Computer Interface, Jing Qu, Kaining Fang, Shantong Zhu, Lingguo Bu

Journal of System Simulation

Abstract: The aging population has led to an increasing demand for rehabilitation for cognitive and motor functions. In response to the lack of interest in traditional rehabilitation and the absence of objective physiological assessment in existing virtual reality (VR) rehabilitation systems, a VR rehabilitation training system based on multimodal brain computer interface is developed by integrating VR interaction, near-infrared brain functional imaging, and motion capture technology. An immersive cognitive-motor integrated training environment was constructed to guide users in completing upper limb tasks. By recruiting subjects and synchronously collecting brain network data and Kinect upper limb motion parameters, multimodal assessment …