Digital Commons Network^™

Planetarity And Relation: Ecology As Method, Ashish Ghadiali

School of Art, Design and Architecture Theses

The List of Works submitted comprises research through film, text, exhibition, performance and policy engagement, developed during a three-year period from 2021 to 2024 in the site-specific location of Southwest England. This multi-modal and interdisciplinary practice is framed in response to the question of how art and cultural strategy can, in the contexts of climate breakdown and global racial inequity, be conceived of as agency for environmental justice. In this integrative summary, I present a theoretical framework where ecology, in response to conditions of environmental crisis, is understood not only as a subject of inquiry but also as method. In …

Feminism, Domestic Abuse And The Singer-Songwriter, Kathryn Ferguson

School of Art, Design and Architecture Theses

This project explores how feminism and domestic abuse can be articulatedthrough songwriting. Research in music therapy, sociology and popular musicincreasingly speaks to the value of songwriting as a tool for personal andcommunity empowerment, but there is space to actively use songwriting toexplore feminist issues independently of the traditional commercial context ofpopular music. Existing feminist music has been deemed as at its mostsuccessful when it is linked clearly to social change in our communities(Greene, 2017, p.8). Modern popular feminist songwriting has been criticised fornot going far enough in deconstructing systemic patterns of patriarchy (Tong,2024, p.9). Considering this, engaging with academic research …

Machine Learning Prediction Of Federal Appellate Court Outcomes: A Multi-Circuit Analysis With Administrative Law Implications, Nicky Nuertey Apenahier

Dissertations and Theses

Federal appellate courts are the final arbiters in many cases, yet systematic machine learning analysis across all twelve circuits remains largely absent from the computational law literature. With courts of appeals deciding tens of thousands of cases annually and the Supreme Court reviewing only a fraction, understanding what predicts reversal outcomes has both theoretical importance and practical consequences for litigants, attorneys, and judicial administrators. This study addresses that gap using eleven years of federal appellate decisions from the Federal Judicial Center’s Integrated Database. A systematic comparison of twenty-five machine learning models, spanning five algorithms and five class-imbalance correction strategies, identifies …

Analysis Of Volatility Between Macroeconomic Variables And Busan Port Cargo Throughput According To Global Risks, Sang Ho Cho

Plymouth Business School Theses

This study investigates how container (BPC) and non-container (BPB) cargo throughput at Busan Port responds to structural shocks in global and domestic macroeconomic variables, and how their relative importance changes over time. The selection of variables was based on a combination of a Systematic Literature Review (SLR) and semi-structured interviews (SSI). The econometric analysis applied a stepwise framework, employing cumulative Impulse Response Functions (IRF) and Forecast Error Variance Decomposition (FEVD) based on Vector Error Correction Model (VECM) estimations, as well as Historical Decomposition (HD) for specific crisis periods. While IRF and FEVD were used to capture dynamic properties under general …

5bfts Grove At The Nma 11 A New 5bfts Plaque At The Nma, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 11 ‘A new 5BFTS Plaque at the NMA’ recounts a visit to the NMA in 2014 when the five birch trees in the 5BFTS Grove were found to be flourishing but the plaques needed renovation, and the subsequent placing of a new 5BFTS plaque in the 5BFTS Grove at the …

5bfts Grove At The Nma 06 Attendees At The 5bfts Annual Reunion September 2002, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 06 ‘Attendees at the 5BFTS Annual Reunion 2002’ in September 2002 which will include the Dedication of the 5BFTS Grove at the NMA.

5bfts Grove At The Nma 02 Newsletter March 2001, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 02 ‘5BFTS Association Newsletter March 2001’ introduces members to the idea of a 5BFTS Grove.

5bfts Grove At The Nma 12 1bfts, 4bfts And 5bfts – Working Together At The Nma, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 12 ‘1BFTS, 4BFTS and 5BFTS – working together at the National Memorial Arboretum’ explains how the idea to install a plaque to remember RAF cadets who were at 4BFTS in Mesa, Arizona, in the 5BFTS Grove at the NMA was conceived in 2023.

5bfts Grove At The Nma 09 Newsletter November 2002, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 09 ‘5BFTS Association Newsletter November 2002’ provides a summary of the 5BFTS Annual Reunion 2002 including the Service of Dedication and Tree Planting on September 22, 2002 at the NMA.

5bfts Grove At The Nma 13 Information About The 5bfts Grove Presented At A Falcon Field Day (4bfts) At Iwm Duxford In October 2023, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 13 ‘Information about the 5BFTS Grove presented at a Falcon Field Day (4BFTS) at IWM Duxford in October 2023’ explained about the 5BFTS Grove to Falcon Field Association members at a reunion held at IWM Duxford on  October 7, 2023. The Chair of the Falcon Field Association: The Next Generation …

5bfts Grove At The Nma 07 Menu For The Reunion Dinner September 2002, Jenifer A. Harding

Documents

The UK National Memorial Arboretum (NMA) is at Alrewas, Staffordshire. The 5BFTS Association gave donations to the NMA which provided a Grove of five trees (five for number 5) comprising two English Birch trees and three American Birch trees and a Plaque. The Grove was dedicated in October 2002. Document 07 ‘Menu for the Reunion Dinner September 21, 2002’, part of the 5BFTS Annual Reunion 2002 in September 2002 which will include the Dedication of the 5BFTS Grove at the NMA.

The Epidemiology Of Catastrophic Head And Neck Injuries In High School And College Non-Football Sports: A 4-Decade Review, Courtney M. Meyer, Kristen L. Kucera, Samantha E. Scarneo-Miller, Zachary K. Winkelmann, Susan W. Yeargin

Rehabilitation Sciences Faculty Publications

Background:

Catastrophic head and neck injuries (CHNIs) in sport are rare but can have disabling or fatal outcomes. Prior studies have focused on football, equipment-laden sports, or different injury severities, not CHNI in nonfootball sports.

Purpose:

To describe the epidemiology of CHNI across levels (high school vs collegiate) in nonfootball sports and evaluate differences in injury rates (IRs) by sport, sex, and decade.

Study Design

Descriptive epidemiological study.

Methods:

This study utilized 40 academic years (1982-1983 to 2021-2022) of surveillance data from the National Center for Catastrophic Sports Injury Research. Descriptive statistics summarized athlete, event, and injury characteristics. IRs were …

Graduate Catalog 2026-2027, Southwestern Oklahoma State University

Graduate Catalogs

No abstract provided.

Fatigue Assessment And Workplace Decision-Making: A Scoping Review, Tamio Papilika, Rony Catur Wibowo, Famelia Famelia

Occupational and Environmental Medicine Journal of Indonesia

Background Fatigue is a recognized contributor to impaired performance and increased occupational risk in safety-critical industries. Although various assessment tools are available, their real-world implementation and role in operational decision-making remain unclear.

Methods This scoping review mapped fatigue assessment methods in workplace settings and evaluated their application in operational contexts. A systematic search of PubMed and Google Scholar identified 693 records, of which 21 studies met the inclusion criteria for real-world occupational settings.

Results All included studies utilized combined subjective and objective fatigue assessment approaches; however, this finding should be interpreted in light of the search strategy. Administrative applications were …

El Valle Del Rio Grande – From Carromatos To Spaceships, Manuel F. Medrano

History Faculty Publications

No abstract provided.

Inside, Outside, And In Between: Black Homeplace As A Blueprint For Privacy Law, Nina-Simone Edwards

Library Scholarship

This essay reimagines the meaning of home and privacy for Black Americans by interrogating the legal and technological systems that routinely collapse the sanctity of the homeplace. Using the no-knock warrant as a central case study, this essay illustrates how state-sanctioned intrusions transform a space of rest, memory, and self-making into a site of violence. Although Fourth Amendment doctrine purports to guard against unreasonable searches, its prevailing binary framework–distinguishing only between “inside” and “outside” the home–renders Black domestic spaces uniquely vulnerable. Drawing from Critical Race Theory, particularly its social construction thesis, this essay shows how race, law, and technology co-produce …

Timing Whistleblowing, Andrew K. Jennings

Faculty Articles

Whistleblower programs (WBPs) expose hidden corporate wrongdoing. They do so by offering retaliation protection and financial bounties to those who bring original information to law enforcement about unseen, and often complex, misconduct. Under a standard account, whistleblowing serves the public interest by increasing the ex post detection of illegal activity and the ex ante risk of its exposure. That standard view—which centers whistleblowing on detecting wrongdoing—is incomplete, however. To present a fuller view, this Article introduces a complementary model that refocuses whistleblowing as preventing wrongdoing. Working together, these models show that a WBP can do more than enable detection at …

Analyzing An Ai Summary Of An Executive Order, Natalie D. Ebolum

Open Educational Resources

This assignment asks students to critically analyze the Executive Order on Incarceration in Private Prisons by producing an independent summary of its intent, purpose, and implementation, along with best-practice recommendations for improving its effectiveness. Students then use the Grammarly AI Summary Tool to generate an alternative summary and compare it with their own analysis. Through structured self-assessment and revision, students evaluate differences in interpretation, identify gaps or insights, and reflect on the strengths and limitations of AI-assisted analysis. The assignment emphasizes critical policy analysis, ethical use of AI tools, and student-centered judgment.

Language, Gender, And Identity In Immigration Contexts: Pragmatic And Sociocultural Markers In Arabic-Speaking Diaspora Communities, Muhammad Alasmari, Abdu Al-Kadi, Rashad Ahmed, Obied Alaqlobi

Research, Publications & Creative Work

The pragmatics of native language use among immigrants is a central linguistic concern under the pressures of transnational migration. On this backdrop, this study investigates the multifunctionality of the Arabic expression Aiy Khadamat (AK), a discourse marker widely used by Yemenis in both homeland and diaspora contexts. Focusing on politeness, conflict management, and sociocultural signaling, the study examines how AK functions as a discourse marker within immigrant interactions. A descriptive-analytical design grounded in qualitative methods was employed, using nine discourse completion scenarios presented to 30 male and 30 female Yemeni Arabic speakers residing permanently in the United States. Findings reveal …

At The Crossroads Of Law And Society: Understanding The World Of Immigration Attorneys., Elvis Ariri

Senior Independent Study Theses

This independent study examines the professional experiences of immigration attorneys working with immigrant clients in the United States. Through qualitative, semi-structured interviews, the research explores how immigration law operates in practice, emphasizing systemic complexity, administrative delay, and discretionary decision-making. Findings reveal that attorneys navigate a fragmented legal framework shaped by shifting policies, inconsistent adjudication, and high emotional stakes. Beyond technical expertise, immigration practice requires emotional resilience, ethical judgment, and strategic adaptability. By centering attorneys’ perspectives, this study highlights immigration law as a lived social system that structures belonging, exclusion, and stability, illuminating the gap between statutory intent and human consequence.

A User-Friendly Graphical User Interface For Paw Touch Classification In Rodent Cylinder Testing, Tyler R Johnson, Katherine D Zerefos, Dawn M Taylor

Faculty, Staff and Student Publications

In unilateral rodent models of disease or injury, deficits are induced in only one side of the body, allowing the difference in right versus left limb usage to serve as a metric of disease/injury severity and recovery with various treatments. Unilateral rat models are commonly used for conditions such as Parkinson’s disease (via the neurotoxin 6-hydroxydopamine, 6-OHDA), stroke, and traumatic brain injury, as well as cervical spinal cord injury and peripheral nerve damage. The ‘cylinder test’ has been used for over two decades as a reliable metric of asymmetry in forelimb usage. In this test, videos are taken of the …

Intra-Coronary Imaging And Transcriptomics Of Calcified Nodules Before And After Intensive Lipid-Lowering Therapy: A Yellow Iii Substudy, Pruthvi C Revaiah, Yuliya Vengrenyuk, Jiajia Liu, Keisuke Yasumura, Vemuri Krishna Santosh, Monika Karki, Ishani Bansal, Amit Hooda, Joseph K Sweeny, Sahil Khera, Vishal Kapur, Prakash Krishnan, Pedro R Moreno, Roxana Mehran, Xiaobo Zhou, Jagat Narula, Samin K Sharma, Annapoorna S Kini

Faculty, Staff and Student Publications

Aims: Calcified nodules (CNs) contribute to 3-5% of acute coronary syndromes (ACS). Identifying peri-calcific lipid-rich areas is challenging with conventional imaging but feasible using near-infrared spectroscopy (NIRS). This YELLOW III substudy investigated the impact of maximal lipid-lowering on CN morphology and lipid content over 26 weeks.

Methods and results: Patients with stable CAD and lipid-rich, non-obstructive plaques (lipid arc >90°, FCT < 120 µm on OCT) received Evolocumab (140 mg biweekly) plus maximally tolerated statins. Lesions were evaluated at baseline and 26 weeks using combined NIRS-IVUS and OCT. Exploratory endpoints were the maximum 4 mm lipid core burden index (LCBI) in segments containing CNs (maxLCBI4mm-CN) and morphological changes in CN. Linear mixed-effects models were used to evaluate temporal changes and group interactions. Peripheral blood mononuclear cell (PBMC) transcriptomics were analysed. Among 110 patients, 43 (39.1%) had CNs. A total of 73 paired CNs were analysed for morphology, of which 65 CNs were ≥4 mm. CNs with lipid signal (CNLS) demonstrated a significant reduction in maxLCBI4mm-CN from 176.8 to 113.3 (β = -63.51 ± 17.63; P < 0.001), whereas no change was observed in dense CNs (P = 0.317). Morphological parameters remained largely unchanged in both groups. A modest increase in the surrounding calcium arc was observed in CNLS (P = 0.018), while depth showed a differential change …

Enhancing Inter-Institutional Ai Research Collaboration Across Multidisciplinary Teams To Increase The National Ai Workforce In Healthcare, Toufeeq Ahmed Syed, Sarah Popal, D'Laney Kernan, Deevakar Rogith, Zulfiia Ditto, Paul Warhurst, Jay Johnson, Jamboor K Vishwanatha

Faculty, Staff and Student Publications

Inter-institutional team collaboration is critical for impactful multidisciplinary AI research in healthcare. The goal of our project (AIM-AHEAD Connect) is to increase multidisciplinary collaborations by connecting AI/ML experts and healthcare researchers, trainees and professionals to enhance research and improve health for all Americans. As of February 2026, AIM-AHEAD Connect has over 10,100 AI/ML and healthcare experts from across 2,400 institutions, has made more than 7,800 connections and facilitated 194 collaborative online groups. We conducted a unique study to understand collaboration, and analyzed profile, connection, and platform engagement metrics to determine if AI experts and healthcare researchers with more inter-institutional connections …

Factors Associated With Opioid And Antibiotic Prescribing At Us Academic Dental Institutions: 2011 To 2020, S Tungare, A-I Yansane, S Gantela, K K Kookal, S Mccurdy, T M Krause, S Sharma, M Walji

Faculty, Staff and Student Publications

Introduction: In the United States, dentists are one of the leading prescribers of opioids and antibiotics. Because dental schools are the training grounds for future dentists, it is crucial to understand how prescribing has changed and why these medications are being prescribed in academic settings.

Objectives: The objective of this research was to describe the prescribing trends and factors associated with opioid and antibiotic medication prescribing at US academic dental institutions between 2011 and 2020.

Methods: Data from electronic dental records collected through the BigMouth data repository from 9 anonymized dental institutions between 2011 and 2020 were used. Prescribing rates …

Rewiring The Immune Response In Lung Cancer: Current Progress In Bispecific Antibodies, Car-T Therapy, And The Rise Of In Vivo Car-T Platforms, Lei He, Yi Sun, Bowen Ma, Guojun Lang, Jianguo Wen, George R Blumenschein, Hong Ma

Faculty, Staff and Student Publications

Lung cancer remains the leading cause of cancer mortality worldwide and continues to impose a major clinical burden, particularly in advanced non-small cell lung cancer (NSCLC) and small-cell lung cancer (SCLC). Although targeted therapies, antiangiogenic agents, immune checkpoint inhibitors, and antibody-drug conjugates have improved outcomes in selected patients, durable responses remain limited by primary and acquired resistance. Here, we comprehensively review recent progress in immunologically oriented therapeutic strategies for lung cancer, focusing on bispecific antibodies, chimeric antigen receptor (CAR) T-cell therapy, and emerging in vivo CAR-engineering modalities. We further elaborate on the clinical rationale, latest translational and early clinical evidence, …

Deep Learning To Predict Future Cognitive Decline: A Multimodal Approach Using Brain Mri And Clinical Data, Tamoghna Chattopadhyay, Pavithra Senthilkumar, Rahul H Ankarath, Christopher Patterson, Emma J Gleave, Sophia I Thomopoulos, Heng Huang, Li Shen, Lei You, Degui Zhi, Paul M Thompson

Faculty, Staff and Student Publications

Predicting the trajectory of clinical decline in aging individuals is a pressing challenge, especially for people with mild cognitive impairment, Alzheimer's disease, Parkinson's disease, or vascular dementia. Accurate predictions can guide treatment decisions, identify risk factors, and optimize clinical trials. In this study, we compared two deep learning approaches for forecasting changes, over a 2-year interval, in the Clinical Dementia Rating scale 'sum of boxes' score (sobCDR), as a continuous outcome (regression). This is a key metric in dementia research and clinical trials, and scores range from 0 (no impairment) to 18 (severe impairment). To predict decline, we trained a …

A Hybrid Vit-L/32-Maxvit-L Architecture With Adaptive Gated Fusion For Multiclass Gastrointestinal Disease Detection And Multi-Method Post-Hoc Explainability, Shahid Mohammad Ganie, Pijush Kanti Dutta Pramanik, Zhongming Zhao

Faculty, Staff and Student Publications

Introduction: Accurate detection of gastrointestinal diseases from endoscopic images remains challenging due to substantial inter-class similarity, intra-class variability, and heterogeneous lesion presentation. While convolutional neural networks (CNNs) effectively capture fine mucosal textures, their limited receptive field restricts global contextual reasoning. Conversely, transformer architectures model long-range dependencies but may underrepresent localized structural detail.

Methods: This study proposes a dual-branch hybrid transformer framework that integrates global token-level reasoning from ViT-L/32 with hierarchical spatial modeling from MaxViT-L. An adaptive gated fusion mechanism is introduced to dynamically regulate the relative contribution of local and global representations on a per-sample basis, enabling content-aware cross-scale integration. …

Global-Local Feature Fusion: A Robust Hybrid Deep Learning Model For Multiclass Brain Tumor Classification With Grad-Cam++ Interpretation, Kirti Pant, Pijush Kanti Dutta Pramanik, Shahid Mohammad Ganie, Anindita Saha, Zhongming Zhao

Faculty, Staff and Student Publications

Background: Accurate classification of brain tumors in MRI scans is critical for effective clinical decision making, yet manual assessment is labor-intensive and subject to variability. Although deep learning models, particularly CNNs and Transformers, have shown potential, each architecture alone has limitations: CNNs excel at local feature extraction but lack global context awareness, while Transformers capture global relationships but may overlook fine-grained details.

Objectives: To develop a hybrid Transfer Learning-Transformer model that integrates CNN-driven local feature modeling with Transformer-based global reasoning to enhance multi-class brain tumor classification.

Methods: The proposed workflow comprises three stages: (1) benchmarking standalone CNN (ResNet50, VGG19, ConvNeXtBase, …

Genetic Variants Associated With Sjögren’S Disease Subtypes Stratified By Clinical Feature, Nitesh Enduru, Chihiro Iwaya, Akiko Suzuki, Zhongming Zhao, Junichi Iwata

Faculty, Staff and Student Publications

Introduction: Sjögren's disease (SjD) is a chronic autoimmune disorder characterized by dry mouth (xerostomia) and dry eyes (xerophthalmia) due to inflammation in exocrine glands, particularly the salivary and lacrimal glands. The condition presents a wide variety of clinical features, suggesting that it may involve heterogeneous conditions without a clear boundary. Although genome-wide association studies (GWAS) have identified several genetic variants associated with SjD, their roles in SjD pathogenesis remain unclear.

Methods: In this study, we aimed to identify single-nucleotide polymorphisms (SNPs) associated with SjD by categorizing patients based on four diagnostic markers: anti-Ro/SSA and anti-La/SSB antibodies, IgG levels, and lymphocyte …

The Effects Of Measurement Errors On Minimum Ablative Margins After Thermal Ablation Of Liver Tumors: A Simulation Study, Iwan Paolucci, Jessica Albuquerque, Noreen S Siddiqi, A Kyle Jones, Kristy K Brock, Bruno C Odisio

Faculty, Staff and Student Publications

Purpose: To develop a mathematical framework to estimate the in silico A0 threshold based on the technical specifications of a specific ablation confirmation software package for thermal ablation of liver tumors that can then be used to identify the impact of different sources of error.

Methods: To estimate in silico A0 thresholds, we developed a simulation framework incorporating technical parameters and biological effects. Technical parameters were segmentation error, registration error, and slice thickness, and biological effects were tissue shrinkage and microscopic satellite lesions; these parameters and effects were all modeled using statistical distributions. For each permutation of parameters, a logistic …