Digital Commons Network^™

Extremum Seeking Compensation And Quantification Of Position Sensor Offset Error In Speed-Controlled Permanent Magnet Synchronous Motors, Tessa Biondo

Masters Theses

Position sensor offset errors present a persistent challenge in speed-controlled permanent magnet synchronous motor drives operating under field-oriented control. Even small, constant offsets in the measured rotor position can reduce torque effectiveness, requiring increased current and voltage demand to maintain the commanded speed and resulting in degraded speed regulation performance across a range of operating conditions. These effects are particularly problematic in speed-controlled systems, where speed loop dynamics cause increased electrical effort and limit overall performance. Many existing detection and compensation approaches are either dependent on the system model, require offline calibration, or are primarily designed for torque-controlled operation. This …

Metabolic And Replicative Constraints On Pathogen Virulence: Isoleucine Catabolism In Shigella And Comparative Tanapoxvirus Replication In Cell Cultures, Benecia Angelica

Masters Theses

Pathogens survive by balancing metabolic demands with environmental challenges that shape their virulence and adaptability. Shigella flexneri, a highly infectious human pathogen responsible for severe diarrheal disease worldwide, utilizes branched-chain amino acid (BCAA) metabolism to withstand stress conditions encountered within the host environment. In this study, we explored the Shigella isoleucine catabolism pathway by knocking out four genes in the S. flexneri isoleucine catabolic pathway (ilvE, fadA, fadD, and acnB) and examining their metabolism and virulence. We found that the ilvE and acnB mutants displayed reduced metabolic activity and smaller plaque size, while the fadD mutant showed decreased invasion. In …

Distribution Mapping And Modeling Of The Invasive Japanese Knotweed, Jossalyn Rogalski

Masters Theses

This thesis investigates the distribution of invasive Japanese knotweed across Michigan. This plant poses significant challenges to land management due to its rapid growth, environmental impacts, and difficulty of removal once established. Using geographic information systems (GIS), remotely sensed data, and secondary environmental datasets, this research maps current infestations and analyzes key factors influencing the species’ growth and dispersal, such as soil composition, hydrology, land use, and a range of environmental variables, including climatic (annual mean temperature, temperature seasonality, annual precipitation, precipitation seasonality), elevation, vegetation and hydrological indices (NDVI, EVI, NDWI), percent tree cover, and distance to roads. Spatial analysis …

What Better Means: A Full-Length Album By Fake Baseball, Maggie Heeren

Masters Theses

No abstract provided.

Transient Mitigation In Dual Active Bridge Converter Using An Auxiliary Converter With High-Frequency Selective Control For Load Step-Down Condition, Sachith Dilshan Wijesooriya

Masters Theses

Dual Active Bridge (DAB) converters are widely utilized in applications such as electric vehicles, renewable energy systems, and solid-state transformers due to their high efficiency, galvanic isolation, and bidirectional power transfer capability. However, during rapid load transitions, DAB converters frequently exhibit significant output voltage overshoot and prolonged settling times, which increase device stress and adversely affect system reliability. This thesis proposes an auxiliary-circuit-based transient mitigation method to address these limitations. The auxiliary circuit, implemented as a bidirectional Buck–Boost stage, operates in Boost mode during load step-down events to absorb excess energy and suppress the resulting voltage overshoot. The design of …

Use And Awareness Of Online Resources In University Libraries, Rudraksha Gouridevi

Library Philosophy and Practice (e-journal)

The study of the use and awareness of online resources in university libraries. The study used a survey to collect primary data. A questionnaire was used to collect primary data from library users (undergraduate, postgraduate students, and research scholars) in selected university libraries, both public and Deemed University libraries, in Andhra Pradesh. The study covered four university libraries. Out of the total number of students and research scholars (25266) from the four universities. In this study, only 10 percent of the respondents were selected as the survey sample. The study indicated that the highest rate of users are accessing the …

A Unified Framework For Distributed And Resource-Aware Plant Disease Detection Using Federated And Adaptive Hybrid Deep Learning, Ticauris S. Stokes

Master's Theses

Plant disease detection in precision agriculture must operate under significant computational constraints, particularly in low-resource (LR) environments such as unmanned aerial vehicles (UAVs) and edge devices. While LR models enable efficient real-time inference, they often lack the representational capacity required to accurately detect complex disease patterns. In contrast, high-resource (HR) models achieve superior detection performance due to their deep architectures but are computationally expensive and unsuitable for direct deployment in resource-constrained settings. This fundamental trade-off between efficiency and accuracy presents a major challenge for practical agricultural monitoring systems.

To address the distributed nature of agricultural data, federated learning (FL) is …

Redeveloping Mississippi: A Case Study On Brownfields In Central & Southern Mississippi, Sahrah R. Yeroozedek

Master's Theses

Brownfields, or properties that are or possibly are contaminated with dangerous materials, represent a common obstacle for communities in Mississippi. The real or potential presence of contaminants at these sites often deters investors due to costly cleanup requirements (EPA, n.d. -b). The Environmental Protection Agency (EPA), through its Brownfield Revitalization Program, implemented guidelines for covering the costs and labor associated with the remediation of these properties. The EPA is not, however, responsible for redevelopment that supports long-term environmental and economic sustainability. Although the EPA maintains inventories of all Brownfields, there is also no comprehensive database of Brownfields and their current …

Evaluating Modern Neural Network Architectures For Suicide Prediction, Kyle Brown

Master's Theses

Suicide remains a leading cause of death among adolescents despite more access to healthcare information than ever before. Medical professionals struggle to make accurate diagnoses and catch warning signs with the overwhelming amount of data available. Machine learning algorithms, including neural networks, have previously been employed for this task, yet it remains an understudied domain.

This research aims to evaluate the capabilities of Multi-Layer Perceptron (MLP) and a selection of its successors, ResNet and MLP with a category embedding layer, at the task of predicting suicidal ideation among high-school students. This research finds ResNet to be the most capable at …

Statutory Backups For Endangered Constitutional Rights, Aaron-Andrew P. Bruhl

Faculty Publications

This Article concerns the phenomenon of “statutory backup rights,” or statutes that provide protections parallel to constitutional rights that are believed to be at risk of judicial abrogation. Proposals for backup rights gained attention in the aftermath of the Supreme Court’s 2022 decision in Dobbs v. Jackson Women’s Health Organization, which not only eliminated the constitutional right to abortion but called into question some other constitutional rights as well. Shortly after Dobbs, Congress enacted a limited statutory backup for same-sex marriage. States have created backup rights across a range of topics, some of which appeal mostly to those …

Sticky Charters? The Surprisingly Tepid Embrace Of Officer-Protecting Waivers In Delaware, Jens Frankenreiter, Eric L. Talley

Faculty Scholarship

This article examines the response to Delaware’s much-heralded 2022 legal reform that permitted corporations, for the first time, to adopt charter provisions exculpating corporate officers from liability for breaching their fiduciary duty of care. Contrary to widespread predictions that corporate actors would swiftly adopt officer exculpation provisions, our analysis — using both traditional and generative artificial intelligence (AI) methods — reveals a surprisingly low rate of uptake, over three years after the reform’s enactment.

Our study makes both methodological and substantive contributions. Methodologically, we present a novel application of large language models (LLMs) to identify and interpret technical clauses in …

The Federal Reserve’S Fiscal Agent Mandate And The Problem For Central Bank Independence, Lev Menand, Joshua Younger

Faculty Scholarship

The Federal Reserve is among the most powerful organs of government. It is tasked primarily with maintaining the growth of monetary and credit aggregates consistent with long-run maximum employment and price stability. This mandate is widely known and the subject of extensive public debate. But another mandate lies within the statute that is largely overlooked — to serve as fiscal agent of the United States. This distinct responsibility is older, and also important. This Article offers a comprehensive assessment of where the Fed’s two mandates overlap and occasionally sharply conflict: in the market for U.S. government debt. First, it identifies …

Computational Fluid Dynamics-Based Risk Stratification Of Modified Blalock-Taussig-Thomas Shunt Thrombogenicity, Yi Qiao, Ethan Penn, Jacob Miller, Scott Bugenhagen, Ram Rohatgi, Kelsey Mercer, Blaire Kulp, Jinli Wang, Pirooz Eghtesady, Guy M Genin, Edon J Rabinowitz, David Bark

2020-Current year OA Pubs

BACKGROUND: The modified Blalock-Taussig-Thomas shunt (mBTTS) is a critical palliative procedure for infants with single-ventricle physiology, but thrombosis-related occlusion affects 8% to 12% of infants and carries nearly 50% mortality. Meanwhile, existing antithrombotic strategies fail to address the hemodynamic factors driving thrombosis, highlighting the need for a deeper understanding of flow dynamics in shunt failure.

OBJECTIVES: This study aims to identify how mBTTS geometry influences hemodynamics and thrombosis risk, providing quantitative guidance for surgical planning and shunt design optimization.

METHODS: We used patient-specific imaging data to test 54 idealized mBTTS configurations, systematically varying key geometric factors: pulmonary artery diameter, shunt …

A Covalent Allosteric Molecular Glue Suppresses Nrf2-Dependent Cancer Growth, Nilotpal Roy, Ilah Bok, Harit Panda, Dhaval P Bhatt, Emily M Wilkerson, Soma Saeidi, Paul Zolkind, Michael B Major, Et Al.

2020-Current year OA Pubs

UNLABELLED: The NRF2 transcription factor is constitutively active in cancer, in which it functions to maintain oxidative homeostasis and reprogram cellular metabolism. NRF2-active tumors exhibit NRF2 dependency and resistance to chemotherapy/radiotherapy (RT). In this study, we characterize VVD-065, a first-in-class NRF2 inhibitor that acts via an unprecedented allosteric molecular glue mechanism. In the absence of stress or mutation, NRF2 is rapidly degraded by the Kelch-like ECH-associated protein 1 (KEAP1)-cullin3 (CUL3) ubiquitin-ligase complex. VVD-065 specifically and covalently engages Cys151 on KEAP1, which in turn promotes KEAP1-CUL3 complex formation, leading to enhancement of NRF2 degradation. Previously reported Cys151-directed compounds decrease KEAP1-CUL3 interactions …

Best Practice: Ct-Guided Adaptive Radiotherapy Reference Planning On The Ethos Platform, Xenia Ray, Joseph Harms, Alex Price, Mu-Han Lin, Dennis N Stanley

2020-Current year OA Pubs

Online adaptive radiotherapy (ART) enables treatment plan modifications based on the patient's anatomy at each fraction, addressing limitations of conventional radiotherapy that relies on a static pre-treatment plan. CT-guided ART (CTgART), as implemented on the Varian Ethos platform, has gained increased clinical adoption over the past several years; however, its success is highly dependent on reference plan design due to limited on-table planning flexibility. As a result, clinicians creating and reviewing reference plans will greatly benefit from both understanding how upstream planning decisions affect the downstream adaptive process and proactively incorporating strategies that improve optimization robustness and efficiency on-treatment. We …

Adapt-On-Demand: Enabling Flexible And Scalable Adaptive Radiotherapy Through Workflow Automation, Sean Domal, Min Geon Choi, Justin Visak, Ruiqi Li, Taoran Li, Boon-Keng Kevin Teo, Xiaodong Zhao, Matthew Schmidt, Eric Laugeman, David Parsons, Yang Kyun Park, Shahed Badiyan, David Sher, Mu-Han Lin

2020-Current year OA Pubs

PURPOSE: CT-guided adaptive radiotherapy (CTgART) offers significant clinical benefits, but its utilization is often limited by resource demands and rigid workflows. This study presents a flexible and scalable "Adapt-on-Demand" (AOD) framework that integrates the adaptive capabilities of the Varian Ethos platform with the high-throughput IGRT delivery of the Varian Halcyon, supported by automated scripting.

METHODS: We developed an end-to-end dual-platform workflow that dynamically transitions between ART and IGRT delivery based on patient needs. Key components include Eclipse Scripting API (ESAPI) automation to streamline adapted plan ingestion from the Ethos Treatment Planning and Management System (TPMS) export directory, compatibility conversion for …

Preterm Birth Increases Susceptibility To Hyperglycemia-Induced Kidney Injury With Sex-Specific Differences In Structural And Molecular Responses, Rachel K Dailey, Aleksandra Cwiek, Logan C Hamil, Sage Timberline, Ayyappa Kumar Sista Kameshwar, Masako Suzuki, Jaya Isaac, Kimberly Deronde, Mark Conaway, Kevin M Bennett, Edwin J Baldelomar, Matthew R Hoch, Kimberly J Reidy, Jennifer R Charlton

2020-Current year OA Pubs

BACKGROUND: Preterm birth increases the long-term risk of diabetes and chronic kidney disease (CKD), yet its impact on diabetic kidney disease (DKD) is unclear. We previously showed that male preterm mice with diabetes develop early features of DKD, including reduced podocyte density, decreased renin expression, activation of angiogenesis pathways, and impaired endothelial-podocyte signaling. Here, we examine whether preterm birth similarly accelerates DKD progression in female mice and compare structural and transcriptomic outcomes in the females to the prior male cohort to assess sex-specific differences.

METHODS: Preterm mice were delivered by Caesarean section at 19 days post conception (dpc) and term …

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 …