Digital Commons Network^™

Optimized Ultrasound Imaging Of Phase-Change Nanodroplets, Charles R Dyall, Dmitry Nevozhay, Andy Liu, Trevor M Mitcham, George J Lu, Konstantin V Sokolov, Richard R Bouchard

Faculty, Staff and Student Publications

Phase-change nanodroplets (PCNDs) continue to generate significant research interest due to their potential to extravasate into tissue, to be targeted for molecular imaging and drug delivery, and to undergo an induced phase-change to "activated" microbubbles (MBs) for ultrasound (US) imaging. To accurately quantify molecular markers, however, one assumes a consistent proportion of PCNDs in a region of interest (ROI) are stably activated and imaged. Herein we present a framework for developing a diagnostic sequence that is optimized for PCND activation uniformity, contrast, and acquisition time. To develop this framework, activation was examined at three scales of increasing complexity: single, adjacent, …

Porous Hydrophobic Adsorbent Coatings For Carbon Dioxide Capture, Samuel Babatunde Olushola

Theses and Dissertations

This work presents the development of a porous, hydrophobic zeolite 13X coating for the separation of carbon dioxide (CO₂) from flue gas or natural gas. Zeolite 13X was combined with yeast, glucose, and sodium alginate as pore-forming agents, and with polytetrafluoroethylene (PTFE) and Polydimethylsiloxane (PDMS) as hydrophobicity-inducing agents to enhance water resistance while maintaining CO₂ access to the adsorbent. The study explored PTFE/13X mass ratios ranging from 0 to 2.33 to investigate the interplay between hydrophobicity and CO₂ uptake. The wettability of the coating was characterized by using a temporal water contact angle (WCA) measurement. Increasing …

Degradation And Metabolic Analysis Of Synthesized Quorum-Sensing Signals By The Model Eukaryote Chlamydomonas Reinhardtii, Adam Josef Bach

Theses and Dissertations

Bacterial organisms can “talk” with one another on a colony-wide scale using a communication system known as quorum-sensing (QS) via chemical signals. These signals are produced at a basal rate throughout the life of the bacteria and are classified as autoinducers, which diffuse across the cell membrane. Once the critical concentration is reached, they begin to diffuse back into the cell and initiate a phenotypic change. As these signals exist outside the membrane of their producer, they are also accessible to other organisms. It has already been noted that some plant species uptake these compounds through their roots and break …

Range Extension Of Electric Propulsion General Aviation Aircraft Using Solar Technology, Mary Kathryn Shultz

Theses and Dissertations

Alternative propulsion technologies in aviation have been a long-time topic of interest as operators aim to bypass growing fuel prices and meet environmental sustainability requirements set globally. Research regarding alternative propulsion technologies is primarily centered around marginally improving efficiency of combustion systems or large-scale implementation of novel technologies. This research evaluates the feasibility of implementing solar-integrated propulsion for general aviation aircraft to extend range through a comparison of full-electric, hybrid solar, and internal combustion engine propulsion systems. This evaluation of existing technology by range analysis indicates that hybrid solar‑electric propulsion is viable primarily for short‑range training and recreational aircraft, rather …

Aircraft Fault Detection Via Weight And Bias Analysis Of A Custom First Neural Network Layer, George Harrison Chen

Theses and Dissertations

Fault detection in aircraft is traditionally handled through redundant hardware and comparison algorithms to detect failures. Alternatives like model-based residual generation and data-driven approaches such as supervised fault classification and unsupervised anomaly detection have been explored, but they suffer from practical limitations; model-based methods require accurate system models, and data-driven methods have large constraints on the data limiting scalability and adaptability. This work presents a purely data-driven neural network architecture featuring a custom first layer designed for real-time fault detection where the weights and biases of this layer are used to detect faults. The network requires zero supervision and complements …

Design And Simulation Of Anti-Resonant Hollow-Core Fiber For Sensing Applications, Pravallika Kante

Theses and Dissertations

This thesis presents the design and simulation of an 8-tube single-ring anti-resonant hollow-core fiber for sensing applications, with particular emphasis on methane gas detection at the fundamental absorption wavelength of 3.3 µm. Conventional solid-core silica optical fibers exhibit strong multi-phonon material absorption beyond 2.5 µm, rendering them fundamentally unsuitable for efficient light guidance and direct gas sensing at mid-infrared wavelengths. Anti-resonant hollow-core fibers overcome this limitation by guiding light predominantly through an air-filled hollow core via the anti-resonant reflecting optical waveguide mechanism, in which the thin silica glass walls of the cladding tubes act as Fabry-Pérot etalons that confine the …

Adaptive Artificial Potential Field Guidance And Control For Autonomous Docking With Uncooperative And Unknown Spacecraft, Steven Holmberg

Theses and Dissertations

The increasing demand for on-orbit servicing (OOS), active debris removal (ADR), and space domain awareness (SDA) missions has increased the need for autonomous spacecraft rendezvous and proximity operations (RPO) with uncooperative and unknown targets. Traditional guidance and control methods are typically designed for cooperative systems with known geometry and state information. This work builds on previous research to develop and evaluate an artificial potential field (APF)-based control framework capable of autonomous operation with minimal prior target knowledge and applicability to both relatively static and tumbling spacecraft.

The proposed APF formulation incorporates established safety constructs from cooperative docking systems, including an …

Moon Adaptive Technology For Extraterrestrial Architectural Robotics (Matear), Candela Noemi Solis Zampini

Theses and Dissertations

The Moon Adaptive Technology for Extraterrestrial Architectural Robotics (MATEAR) focuses on the development of an autonomous robotic system capable of providing structural building blocks directly from lunar regolith. As a sustained human presence on the Moon becomes a necessity, the costly and limited payload capacity associated with transporting construction goods from Earth creates a critical challenge. MATEAR addresses this problem through in-situ resource utilization (ISRU), integrating a regolith processing system onto a remote operated vehicle. The proposed system is designed to collect lunar dust, mechanically compact the material, and apply thermal treatment to enhance cohesion through sintering. These regolith-made bricks …

Weavecc: Symbolically-Guided Joint Exploration Of Inputs And Schedules For Concurrency Bug Detection, William Philip Dinauer

Dartmouth College Master’s Theses

Concurrent programs introduce a class of bugs that depend jointly on both program inputs and thread schedules. Exposing these bugs requires simultaneously reasoning about which code paths are reachable and which thread interleavings are possible. At the same time, many existing tools handle the problem insufficiently. Race detectors observe only the interleavings that the OS happens to produce. Fuzzers explore inputs without controlling schedules. Tools that address both dimensions together exist, but are built on interpretation-based symbolic executors that incur considerable overhead.

We present WeaveCC, a practical concurrency testing tool for C/C++ programs that jointly explores inputs and thread schedules. …

Variable Selection Via Penalized Logistic Regression For Binary Classification, Gloria Antwi-Boasiako

Theses and Dissertations

In this study, we developed some hybrid estimators for variable selection in logistic regression by integrating the sparse local gradients (SLG) with some existing variable selection methods such as LASSO, Elastic net, SCAD, and MCP. The goal is to retain the flexibility of penalized likelihood estimation while improving the stability and interpretability of the selected model.

The finite-sample performance of the proposed methods is examined through a Monte Carlo simulation study covering low-, moderate-, and high-dimensional settings under different levels of predictor correlation. The simulation results show that incorporating SLG screening generally leads to more controlled model sizes and fewer …

Comprehensive Analytical Approaches To Biophysical And Hard Matter Systems, Carlos Munoz

Theses and Dissertations

In this work we define the methods and experimental techniques that are used in the synthesis, characterization, and development of biophysical and hard matter systems. These efforts encompass six principal areas: Comprehensive characterization of pathogenic bacteria, development of novel chemical methods for probing binding affinities in cellular systems, understanding the electronic properties of silicon/silicon dioxide interfaces, characterization of catalytic perovskite oxide materials, and lastly, heteroepitaxial growth of vanadium nitride thin films on the silicon nitride surface.The Lyme disease spirochete Borrelia burgdorferi (B. burgdorferi) causes an infection with diverse clinical outcomes, which can include arthritis as well as cardiac and neurological …

Numerical Investigation Of Plume–Surface Interactions Using Automated Adaptive Mesh Refinement, Fahim Shahriyar

Theses and Dissertations

This work presents a numerical investigation of plume–surface interactionsusing the Direct Simulation Monte Carlo (DSMC) method, coupled with the devel opment of an automated adaptive mesh refinement (AMR) framework for rarefied flow simulations. A two-dimensional axisymmetric configuration is used to simulate the impingement of a rarefied exhaust plume on a flat surface under vacuum condi tions representative of experimental test facilities. Surface pressure, shear stress, and heat flux induced by plume impingement are computed and compared with published experimental and numerical results to validate the DSMC approach. To address the strong mesh sensitivity and computational inefficiency associ ated with uniform …

An Open-Label, Clinical Feasibility Study Of The Efficacy Of Remdesivir For Long-Covid, Helen Neilens, Victoria Allgar, Kayle-Anne Sands, Jade Chynoweth, Amber Lord, Paigan J Aspinall, Helen Hambly, Anton Barnett, Lindsay Skipper, Tom Bewick, Ian Maidment, Hairil Abdul Razak, Ruth Ashton, David Strain, Karen Knapp, Mark A Faghy

Peninsula Medical School

BACKGROUND: Long COVID (LC) affects around two million people in the UK and over 65 million people globally. Antiviral medications have shown positive effects in reducing the risk of progression to severe disease in high-risk patients during an acute SARS-CoV-2 infection and have improved outcomes in those living with LC. Research testing the feasibility and efficacy of antiviral medications is ongoing, and clinical trials should determine the use of Remdesivir and its impact on LC symptoms, patient-reported outcomes, quality of life and functional status.

METHODS: Seventy-two patients ≥ 18 years of age who have a confirmed LC diagnosis will be …

Cultural Dimensions And Ethical Perceptions Of Tax Evasion In The Digital Tax Reporting Era, Renna Magdalena, Henny Cheirine

International Conference on Business and Management Research (ICBMR)

Tax evasion is still a significant challenge for Indonesia's state revenue. This study examines how Hofstede's cultural dimension affects the ethical perception of tax evasion in Javanese MSME owners to overcome the gap in understanding of cultural factors that affect tax compliance behaviour at the individual level. In the context of a tax reporting system that has been fully digitised through e-filing and online applications, it is important to understand that the existence of technology does not necessarily remove the moral rationale for fraudulent acts. A quantitative survey was conducted on 112 MSME owners. Using validated instruments, the study used …

One For All, All For Innovation: Transforming The Indonesia’S Public Sector Through Ambidextrous Leadership, Dian Mulia Sari, Elok Savitri Pusparini

International Conference on Business and Management Research (ICBMR)

In an era defined by volatility, uncertainty, complexity, and ambiguity (VUCA), public sector organizations face increasing pressure to innovate. This study examines how ambidextrous leadership influences innovative work behavior (IWB) among civil servants, with psychological ownership (PO) serving as a mediator. Using a quantitative approach, data were collected from 152 structural and functional officials within Indonesia’s State Finance Organization (OKN) and analyzed using PLS-SEM. The results indicate that ambidextrous leadership has a significant direct effect on IWB. More importantly, psychological ownership mediates this relationship through two distinct pathways: promotive PO strengthens IWB by fostering confidence and proactive contribution, while preventive …

Cutting Red Tape In Research: A Business Process Improvement Approach For The Riim Collaboration Scheme, Novia Nurul Fatmawati, Arviansyah Arviansyah

International Conference on Business and Management Research (ICBMR)

Strengthening the national research and innovation ecosystem is crucial for sustainable development, with the government playing a key role through strategic funding schemes. The Research and Innovation for Advanced Indonesia (RIIM) Collaboration scheme, managed by the National Research and Innovation Agency (BRIN), is vital for fostering international research partnerships. However, its implementation faces significant challenges, including lengthy and complex business processes that lead to delays in research execution. This study aims to analyze the current (as-is) business process of the RIIM Collaboration scheme and design an optimized (to-be) process to enhance operational efficiency. This research employs a mixed-method case study …

Beyond Bureaucracy: Entrepreneurial Mindset And Ai Readiness As Drivers Of Business Model Innovation In Blu Business Units — A Conceptual Framework, Ahmad Nurholis, Muhammad Rifky Adzakie

International Conference on Business and Management Research (ICBMR)

This paper advances a conceptual framework that examines how entrepreneurial mindset (EM) and AI readiness interact to shape business model innovation (BMI) and financial performance (FP) within Indonesia’s profit-oriented Public Service Agency (BLU) business units. As hybrid organizations, BLU business units must simultaneously fulfill their public service mandate while pursuing revenue generation, creating a unique context that demands stronger theoretical grounding. The framework draws on New Public Management (NPM) principles and the Dynamic Capabilities (DC) perspective to argue that an entrepreneurial mindset stimulates BMI both directly and indirectly through enhanced AI readiness. In turn, BMI is positioned as a driver …

Ai As A Catalyst For Managerial Strategy Transformation: Operational Efficiency And Business Model Innovation, Nazilatul Hidayah

International Conference on Business and Management Research (ICBMR)

This study investigates how Artificial Intelligence (AI) serves as a catalyst for managerial strategy transformation, focusing on two critical areas: operational efficiency and business model innovation. Drawing on multiple case studies, the paper analyzes how companies such as Unilever, Wayfair, Amazon, and Alibaba integrate AI technologies into their strategic processes. Results show that AI implementation has enabled cost reductions of up to 15-20%, improved throughput in logistics operations, and enhanced personalization strategies that significantly impact revenue. For instance, Alibaba attributes approximately 35% of its sales volume to AI-powered recommendation systems. These outcomes demonstrate that AI not only improves operational workflows …

Project Scheduling Analysis For The Overhaul Of Indramayu Steam Power Plant (Pltu), Hano Kharismantoko, Ratih Dyah Kusumastuti

International Conference on Business and Management Research (ICBMR)

This study aims to analyze time and cost efficiency in the overhaul project of PLTU Unit 2 Indramayu by applying project crashing using mixed method approach. The growing electricity demand in Indonesia and the vital role of Steam Power Plants (PLTU) require effective maintenance strategies to prevent revenue losses due to overhaul project delays. The research integrates qualitative insights from direct observation and interviews with quantitative data from project documentation. The Work Breakdown Structure (WBS) and Critical Path Method (CPM) were used to identify critical activities, followed by project crashing using linear programming approach to determine the optimal schedule and …

Designing Digital Marketing Through Generative Ai For Koperasi Merah Putih Urban, Alfonsius Alfonsius, Daniel Cassa Augustinus, Ricky Banke

International Conference on Business and Management Research (ICBMR)

This qualitative study examines the potential of Generative Artificial Intelligence (GenAI) to strengthen digital marketing strategies for urban cooperatives, focusing on Koperasi Merah Putih Urban in Medan, Indonesia. Despite cooperatives playing a crucial role in promoting inclusive economic growth, many remain dependent on offline promotion, facing challenges of visibility, uneven member engagement, and lack of sustainable governance structures. Using a juridical-empirical case study approach, data were collected through semi-structured interviews with cooperative officials and MSME actors, observation of cooperative communities, and analysis of legal and policy documents. Thematic analysis revealed three key issues: limited visibility due to inconsistent branding, unequal …

Unraveling The Evolution Of Customer Perspectives In Ride-Hailing And Ridesharing: A Bibliometric Analysis, Arga Hananto, Rhenald Kasali Ph.D, Sri Rahayu Hijrah Hati Ph.D

International Conference on Business and Management Research (ICBMR)

Ride-sourcing services (i.e., ride-hailing and ridesharing)—represent one of the fastest-growing segments of the sharing economy. Although their success fundamentally depends on customer engagement, scholarly reviews have often focused more on operational and technical developments than on customer behavior, satisfaction, and loyalty. This study examines the evolution of ride-sourcing research during the COVID and post-COVID period (2020–2025) through a bibliometric and content analysis of 297 journal articles retrieved from Scopus. While earlier reviews often emphasized operational and technological aspects, this analysis focuses on customer-centered perspectives such as adoption, satisfaction, loyalty, and attitudes.

The findings show a substantial increase in research output …

Assessing The Impact Of Economic And Social Dynamics On Domestic Tourism In Indonesia: An Econometric And Cluster Analysis, Darol Arkum, Mudrajad Kuncoro, Ghardapaty Ghaly Ghiffary, Diah Setyorini Gunawan

International Conference on Business and Management Research (ICBMR)

ABSTRACT

Introduction: A strategic method of evaluating the economic impact of tourism across regions while taking into consideration Indonesia's geographical and socioeconomic diversity is to divide tourist destinations according to the reasons for travel. Background Problems: This study introduces an integrated statistical framework to assess the economic impact of domestic tourism in Indonesia, emphasizing regional heterogeneity and evolving travel behavior. Research Methods: A novel clustering approach is developed based on travel motivations—rather than geographical proximity—utilizing hierarchical clustering in conjunction with time series analysis and ANOVA techniques. The time series analysis identifies pronounced seasonal trends and fluctuations in spending, influenced significantly …

Integrating Steam Through Honeybee Education In Southern Appalachia, Gary Padgett, Haley Holt

The Transdisciplinary STEAM+ Journal

Honeybees are vital to pollination and food production, yet their populations are declining in the United States.  This underscores the need for ecological literacy, making honeybees an ideal focus for STEM/STEAM lessons. Middle grades students are familiar with honeybees and instantly engage with them, providing a framework for promoting inquiry, creativity, and real-world problem solving. This article presents a lesson taught in Southern Appalachia, a region facing educational disparities with limited access to advanced STEM/STEAM opportunities. The honeybee focused STEAM lesson presented in this article addresses this gap by providing middle grades students with an interactive, interdisciplinary opportunity that links …

The Team In Steam: Integrating Disciplinary Practices Into Project-Based Experiences, Margaret L. Borden, Meghan Raftery, David Reese, Michelle Richter

The Transdisciplinary STEAM+ Journal

In recent years, there has been a growing emphasis on integrating science, technology, engineering, art, and mathematics (STEAM) education into the curriculum to enhance student engagement and prepare them for success in an evolving global society. Project-Based Learning (PBL) has emerged as a powerful pedagogical approach to address these goals, offering opportunities for rigorous, collaborative, and authentic learning experiences. Drawing from literature and practical examples, the article discusses the implementation of PBL in STEAM curriculum development, emphasizing the importance of authenticity, interdisciplinary collaboration, and real-world connections. Additionally, the article provides insights into the GRASP framework as a tool for infusing …

Fractsynth: Exploring Glitch Timbres With Chaos Theory, Aidan Roach

The Transdisciplinary STEAM+ Journal

In this paper, I explore how chaos theory can be used to design a new kind of synthesizer with the primary focus of producing glitchy, unpredictable sounds. Glitch music embraces abstract sound design, malfunctioning electronics, and randomness as the main compositional elements. However, most synthesizers rely on stable, repetitive oscillators that often sound too controlled. To challenge this, I developed FractSynth, a real-time synthesizer that uses chaotic attractors–including the Logistic Map, Henon Map, and Lorenz System–as modulation sources for frequency, amplitude, and tone. The software also features real-time Lyapunov Exponent Tracking, which gives users a direct visual of how …

From Vibration To Visualization: Building An Real-Time Audio Visualization System For Learning And Exploration Using Pyqt5, Aidan Roach

The Transdisciplinary STEAM+ Journal

This paper presents the design, development, and analysis of my real-time audio visualization system created entirely in Python using PyQt5, called WaveCatcher. The system captures live audio input from a microphone and provides simultaneous visual feedback through multiple signal representations: including a time-domain waveform, a frequency-domain FFT spectrum, a scrolling spectrogram, harmonic peak visualization, dynamic range, amplitude envelope, spectral centroid, and spectral bandwidth. These features offer insight not just into the raw structure of sound, but into how humans perceive its qualities–like timbre! This terminology may seem intimidating—it certainly was when I first began learning it—but I’ll explain all of …

The Unsmart Home: A Steam Approach To Coding Though Drama And Creative Play, Jennifer R. Roberts

The Transdisciplinary STEAM+ Journal

This article examines how integrating drama and coding can enhance computational thinking, creativity, and inclusivity in children. Grounded in constructivist and embodied learning theories, it presents The UnSmart Home, a drama-based coding experience. In this immersive project, children interact with a mal-functioning smart home through character-led, narrative challenges that require basic coding to solve problems. This approach reframes programming as creative play, making abstract concepts tangible through storytelling and physical engagement. Positioned within the STEAM education framework, the article argues that drama offers a powerful entry point into technical learning. It supports multimodal learning, encourages collaboration, and challenges stereotypes about …

Forcing The Issue: Nebraska’S Collective Bargaining Stand-Off, Shannon Cummins

Journal of Collective Bargaining in the Academy

This paper describes the unusual collective bargaining landscape for public academic institutions in the state of Nebraska where state legislation has mandated both pay transparency and limits to the collective bargaining process. Specifically, it explores the unprecedented 2024-2025 bargaining cycle which relied on innovative union tactics of nationwide freedom of information requests (FOIA) to reach contract agreement in the face of twelve years of administration stonewalling tactics. The case study of Nebraska is important as it provides an actual account of negotiations where state limits on collective bargaining have yet to be tested in the courts.

One Faculty, One Mission: A Unified Faculty Model For California Community Colleges, Debbie Klein

Journal of Collective Bargaining in the Academy

This article advances a unified, non-tiered faculty model as essential to fulfilling the mission of the California Community Colleges (CCC) system. Although the system is charged with realizing open access and educational equity, nearly 70% of faculty serve in part-time or contingent roles—often without proportional compensation, institutional stability, or meaningful participation in governance. Drawing on research demonstrating that faculty working conditions shape student learning conditions, the article argues that structural employment inequities undermine the system’s democratic promise. Situating the proposal within national “One Faculty” efforts and recent legislative attention to pay parity in California, it demonstrates that reform is both …

Development Of A Metal-Based Catalyst For The Ammonia Dehydrogenation Reaction, Othman Mohammed Abdullah Al-Amodi

Thesis/ Dissertation Defenses

Developing cost-effective and active catalysts that would replace noble metals is desirable for the ammonia decomposition reaction. Hence, this thesis focuses on the development and evaluation of a 10Ni/0.75TiO2-0.25CeO2 catalyst for ammonia decomposition, a promising route to carbon-free hydrogen production. The system parameters investigated include the effect of reaction temperature (550, 650, and 750°C) and the catalyst mass (100, 200, and 300 mg) on the performance of the ammonia decomposition process. The primary objective of this work is to investigate how catalyst composition and metal-support interactions influence activity, hydrogen production, and ammonia conversion. Catalysts were prepared by the incipient wetness …