Digital Commons Network^™

An Evaluation Of Modelling Of Propagation Using Comsol For A Singlemode-Multimode-Singlemode Structure, Thomas Freir, Arun Kumar Mallik, Yuliya Semenova, Gerald Farrell

Research Outputs: 2025-Present

This paper presents simulation models developed for investigating singlemode-multimode-singlemode (SMS) structures, with the intention of utilising precise nano-scale 3D printing to print the center-section of the structures modelled. The models allow the design of structures for use in SMS fiber sensors, replacing the silica fiber center-section structures commonly used, with 3D printed elements. The paper discusses the process of evaluating and validating COMSOL propagation models by comparison to existing reported results and proposes the use of SMS self-imaging length and the transmission spectra as useful metrics for model comparisons. Both 2D and 3D COMSOL models are developed, and both show …

Academics’ Experiences Of Work-Life Balance And Work-Life Conflict In A Familialist State: The Case Of Bosnia And Herzegovina, Sara Clavero, Caitriona Delaney

Research Outputs: 2025-Present

Background: This paper explores how women academics in Bosnia and Herzegovina (BiH) navigate work-life conflict and the main strategies they deploy to balance their work and personal lives. It examines the range of institutional support available to them and assesses their effectiveness in facilitating work-life balance and reducing work-life conflict. Methods: Drawing on 12 semi-structured interviews with female academics at various career stages from public and private universities across BiH, this study captures personal narratives of managing work and caregiving responsibilities. Results: Thematic analysis revealed the respondents’ personal strategies to find work-life balance while trying to achieve their career goals, …

Fuzzy Logic-Based Driving Style Classification For Lane-Change Prediction In Intelligent Transportation Systems, Muhammed Fatih Koc, Nouman Ashraf, Pramod Pathak, Sachin Sharma

Research Outputs: 2025-Present

In recent years, Intelligent Transportation Systems (ITSs) have emerged as a solution to mitigate the problem of traffic congestion. Understanding human driving styles such as aggressive, normal, and cautious is crucial for safe driving. In particular, predicting lane-change manoeuvres may be further supported by combining vehicle state information with driving style information. However, existing vehicle trajectory datasets lack driving style information, making classification challenging. To address this limitation, this paper proposes a fuzzy logic-based driving style classification framework in a Vehicle-to-Everything (V2X) environment. The model uses vehicle state information, including speed, longitudinal acceleration, lateral acceleration, and distance headway to classify …

Preclinical Ischemic Stroke Multicenter Trials (Prism) Collective Statement: Opportunities, Challenges, And Recommendations For A New Era, Cenk Ayata, Philip M Bath, Anna M Planas, Stuart M Allan, Johannes Boltze, Ryan P Cabeen, Claire L Gibson, Marilyn J Cipolla, Marcio A Diniz, Stefano Fumagalli, Fahmeed Hyder, Raymond C Koehler, Arthur Liesz, Sarah K Mccann, Tim Magnus, Louise D Mccullough, Emily S Sena, Simone Beretta, Jaroslaw Aronowski, Francesca Bosetti, Clinton B Wright, Patrick D Lyden, Lauren H Sansing

Faculty, Staff and Student Publications

Preclinical stroke research faces a critical translational gap, with animal studies failing to reliably predict clinical efficacy. To address this, the field is moving toward rigorous, multicenter preclinical randomized controlled trials (mpRCTs) that mimic phase 3 clinical trials in several key components. This collective statement, derived from experts involved in mpRCTs, outlines considerations for designing and executing such trials. mpRCTs offer advantages such as increased sample sizes, robust statistical design, incorporation of heterogeneity, and standardized protocols, but they face challenges in finding the right balance between standardization and heterogeneity, appropriate stroke model selection, and outcome measures, as well as the …

Host Modulation Therapy In Periodontitis: From Established Therapies To Emerging Technologies, Aonjittra Phanrungsuwan, Jiaqi Huang, Neeraja Dharmaraj, Alejandra Cobos Perez, Omid Veiseh, Simon Young, Chun-Teh Lee

Faculty, Staff and Student Publications

Periodontitis is a biofilm-induced chronic inflammatory disease, characterized by gingival inflammation and alveolar bone loss. According to a national survey, approximately half of the U.S. adults are affected by periodontal disease. To effectively prevent and treat periodontitis, it is essential to address its underlying causes. The primary etiological factors include polymicrobial synergy and dysbiosis of the oral microbiota, and a dysregulated immune response. The standard therapeutic approach, mechanical removal of biofilm through debridement, sometimes demonstrates limited efficacy, particularly in cases of severe periodontitis, which may require adjunctive or additional therapy. Emerging evidence indicates that periodontal tissue destruction is initiated by …

Streamlining Eligibility Assessment For Alzheimer’S Disease-Modifying Therapies: Prediction Of Mmse Scores Using The Digital Clock And Recall, Ali Jannati, Claudio Toro-Serey, Marissa Ciesla, Emma Chen, John Showalter, David Bates, Alvaro Pascual-Leone, Sean Tobyne

Faculty, Staff and Students Publications

           Introduction: The eligibility of anti-amyloid disease-modifying therapies (DMTs) and their integration into clinical practice in some institutions requires a specific range of Mini-Mental State Examination (MMSE) scores. Reliance on this pencil-and-paper psychometric instrument imposes operational burdens and risks of perpetuating health disparities, given the test's known educational and cultural biases. This study evaluates the efficacy of the Digital Clock and Recall (DCR™)-a rapid, FDA-listed digital cognitive assessment-to crosswalk to MMSE scores using machine learning, thereby offering a faster, scalable, and equitable mechanism for patient triage.

Methods: We conducted a retrospective analysis using data from the multi-site Bio-Hermes-001 (BH) study ( …

Serum Protein Signatures For Breast Cancer Detection In Treatment-Naïve African American Women Using Integrated Proteomics And Pattern Analysis, Padma Tadi Uppala, Elmer Rivera, Hyun J. Kwon, Sharon S. Lum

Faculty Publications

Breast cancer is the leading cause of cancer-related mortality in African American (AA) women. In this study we evaluated the serum proteomic profile of AA women with breast cancer using an integrated proteomic framework with multivariate pattern analysis. Using 2D-DIGE, thousands of serum protein spots were detected across 33 gels; 46 spots met criteria for presence, statistical significance, and differential expression. Proteins from the spots were identified by MALDI-TOF/TOF and matched in curated databases, highlighting serum biomarkers including ceruloplasmin, alpha-2-macroglobulin, complement component C3 and C6, alpha-1-antitrypsin, alpha-1B-glycoprotein, alpha-2-HS-glycoprotein and haptoglobin-related protein. LC-MS/MS analysis revealed 163 differentiating peptides after imputing and …

Effect Of Density Irregularities On Radio Frequency Wave Propagation In Ionospheric Plasmas, Eun-Hwa Kim, Jay Johnson, Syun'ichi Shiraiwa, Nicola Bertelli, Masayuki Ono, Simon Wing

Faculty Publications

No abstract provided.

Investigation Of Causal Relationships Of The Cross-Scale Wave Coupling Through Information Theoretical Approach, Elmer Rivera, J. Johnson, Simon Wing, Eun-Hwa Kim, Khan-Hyuk Kim, Katariina Nykyri

Faculty Publications

No abstract provided.

Applications And Challenges Of Utilizing Digital Pathology And Ai-Enabled Workflows In Clinical Trials, Manu Sebastian, Harsh Batra, Monika Lamba Saini, Staci Kearney, Lorcan Sherry, Serge Alexanian, Michael Cohen, William Weber, Joe Lennerz, Anil V Parwani

Faculty, Staff and Student Publications

This is a comprehensive review on current utilization and challenges of digital pathology adoption in clinical trials and aims to provide a broad view on its impact on pathology review processes in clinical trials. It provides an overview of current pathology review practices in clinical trials and unique advantages digital pathology adoption can offer. The key areas including existing workflows, use case scenarios in different disease areas in clinical trials, including but not limited to patient identification and pre-screening, and regulatory aspects have been described with relevance. In addition, the review delves into the integration of genomics, AI, image analysis, …

Digital Communication Strategies For Culinary Medicine In Cancer Prevention And Survivorship: Information-Seeking Habits And Content Preferences Of Online Cooking Media Among Adults Participating In Four Cancer Prevention And Control Cohort Studies, Margaret Raber, Sara Fares, Maria Vazquez, Larkin Strong, Carrie Daniel-Macdougall, Lorna Mcneill, Karen Basen-Engquist

Faculty, Staff and Student Publications

Introduction

Poor diet and excess weight have been linked to increased risk for at least 13 types of cancer. Culinary medicine utilizes experiential cooking skill development to improve individuals’ capacity for healthy eating. Digital communication strategies offer pathways for scalable culinary medicine interventions, but little research has explored how online cooking tools could be leveraged for cancer prevention messaging. We conducted a cross-sectional survey study exploring online cooking information-seeking habits and content preferences among participants in four cancer prevention and control cohorts to inform future digital culinary medicine interventions.

Methods

A cross-sectional survey study was conducted with a convenience sample …

Contemporary Opportunities And Potential Of Auger Electron-Emitting Theranostics, Seok-Yong Lee, H Charles Manning

Faculty, Staff and Student Publications

Recent breakthroughs in radiopharmaceutical (RP) therapy have emerged interest in employing Auger electron (AE)-emitting radionuclides as potential agents for precise theranostics. AE provides energy with exceptional localization due to their short tissue penetration range (TPR, < 10 nm), rendering them particularly effective for targeting nuclear DNA in tumor cells. In this context, AE-emitting radionuclide therapy (AE-emitting RLT) enables the targeted destruction of tumor cells while reducing harm to adjacent healthy tissue, a significant challenge in this field. Preclinical and early clinical investigations reveal the efficacy of AE-emitting RLTs in the theranostics of diverse malignancies, such as glioblastoma, prostate cancer, and neuroendocrine tumors. Notwithstanding these developments, challenges and limitations persist regarding dosimetry, delivery efficiency, and the treatment of radiotoxicity. A new paradigm is being developed to tackle the obstacles encountered by integrating molecular target markers (e.g., PARP) that function near the nucleus to improve the intranuclear delivery efficiency of AE-emitting radionuclides. Novel radiochemical methods such as these have facilitated the more stable and efficient labeling of biomolecules with AE-emitting radionuclides. Also, recent advances in DNA-molecular targeting, nanoparticles, nucleic acid/protein engineering, click- or bioorthogonal conjugation chemistry, and artificial intelligence (AI)-based structure modeling present concrete opportunities to overcome these limitations. Moreover, the integration of diagnostic imaging companion platforms employing theranostic radioisotope pairings facilitates real-time assessment of therapeutic efficacy and biodistribution, resulting in the formulation of enhanced treatment regimens. This review summarizes the prior development, recent advancements, barriers in clinical implementation, and future perspective of AE-emitting RLTs.

Nsd2 Inhibitors Rewire Chromatin To Treat Lung And Pancreatic Cancers, Jinho Jeong, Simone Hausmann, Hanyang Dong, Kacper Szczepski, Natasha M Flores, Andy Garcia Gonzalez, Liyang Shi, Xiaoyin Lu, Joanna Lempiäinen, Moritz Jakab, Liyong Zeng, Tourkian Chasan, Eric Bareke, Rui Dong, Emma Carlson, Reinnier Padilla, Dylan Husmann, Julia Thompson, Gerry A Shipman, Emily Zahn, Courtney A Barnes, Laiba F Khan, Liz Marie Albertorio-Sáez, Eva Brill, Vishnu Udayakumar Sunita Kumary, Matthew R Marunde, Danielle N Maryanski, Cheryl C Szany, Bryan J Venters, Carolina Lin Windham, Michal Eligiusz Nowakowski, Iwona Czaban, Mariusz Jaremko, Michael-Christopher Keogh, Kang Le, Michael J Soth, Benjamin A Garcia, Łukasz Jaremko, Jacek Majewski, Pawel K Mazur, Or Gozani

Faculty, Staff and Student Publications

NSD2 catalyses the epigenetic modification H3K36me2 (refs. 1,2) and is a candidate convergent downstream effector of oncogenic signalling in diverse malignancies3–5. However, it remains unclear whether the enzymatic activity of NSD2 is therapeutically targetable. Here we characterize a series of clinical-grade small-molecule catalytic NSD2 inhibitors (NSD2i) and show that the pharmacological targeting of NSD2 constitutes an epigenetic dependency with broad therapeutic efficacy in KRAS-driven preclinical cancer models. NSD2i inhibits NSD2 with single-digit nanomolar half-maximal inhibitory concentration potency and high selectivity over related methyltransferases. Structural analyses reveal that the specificity of NSD2i for NSD2 …

Freeze-Dried, Not Frozen: Lyophilized Mesenchymal Stromal Cell-Derived Extracellular Vesicles And Therapeutic Function In Neuroinflammatory Models, Janet R Ashley, Aidan M Collier, Scott D Olson, Charles S Cox

Faculty, Staff and Student Publications

Background: Mesenchymal stromal cell (MSC)-derived extracellular vesicles (EVs) offer a promising acellular therapy for immune modulation, but clinical translation is hindered by variability and storage constraints. Lyophilization (freeze-drying) could enable shelf-stable EV therapeutics, although its effects on biological activity remain incompletely defined.

Study design: We compared the immunomodulatory effects of frozen and lyophilized EVs from bone marrow (BM), adipose tissue (AD), and umbilical cord (UC) MSCs using lipopolysaccharide-stimulated rodent splenocytes and microglial models and human peripheral blood mononuclear cells (PBMCs). Variables included batch scale (small vs large), cytokine priming, and MSC source. Tumor necrosis factor alpha (TNF-α) secretion was measured …

Single-Cell Lineage Trajectory Defines Cyclin-Dependent Kinase Inhibitor-Sensitive Cells-Of-Origin In Esophageal Squamous Cell Carcinoma, Kyung-Pil Ko, Jie Zhang, Sohee Jun, Jae-Il Park

Faculty, Staff and Student Publications

Background and aims: Understanding the cells of origin is essential for overcoming therapy resistance and improving early intervention strategies in esophageal squamous cell carcinoma (ESCC). Despite recent advances in genomic profiling, the precise cellular hierarchies and molecular programs driving ESCC initiation remain poorly defined.

Methods: We utilized machine learning-based single-cell trajectory analysis on 4-nitroquinoline 1-oxide-induced murine models and genetically engineered organoids to identify cellular lineages during tumorigenesis. Combined with gene regulatory network analysis, we identified transcriptional drivers of tumor initiation and employed transcriptome-based drug repurposing to predict compounds targeting these initiating populations.

Results: Our analyses revealed multiple distinct epithelial clusters …

The Persistent Shock Of The Old: Making The Case For The Responsive Development Of Artwork Deploying Historical Museological Display Techniques., Duncan Cameron

School of Art, Design and Architecture Theses

My sculpture work and thesis investigate the potential of historical museological practices—particularly Victorian and Edwardian display technologies—in contemporary art-making and sculptural practice. I ask three central questions: how can the collection and display of natural history materials be ethically defended in the present day; how might traditional exhibition orthodoxies be reconfigured to privilege the prosaic, domestic, and handmade over the novel and precious; and what role does the idiosyncratic and beautiful play in narrating material stories within an ethical, Anthropocene-aware framework?The study employs a practice-led methodology combining iterative art-making, critical reflection, and active fieldwork. Working from a studio in Somerset, …

The Influence Of Historical Technological Constraints On Contemporary Music Practice, Clive Mead

School of Art, Design and Architecture Theses

This practice-based research project explores the creative implications of working within historically constrained music production environments. By composing and producing original music using only emulated instruments, effects, and recording technologies from four key eras—1955, 1965, 1975, and 1985—the study examines how technological limitations affect contemporary compositional practice. The project is situated at the intersection of music production, creative practice research, and is conducted by a composer-producer with extensive experience across diverse musical genres.The research addresses three central questions: What occurs when a proficient modern producer is restricted to using tools from earlier periods of recorded music history? In what ways …

Translating Human Emotion Into Music: A Multimodal Machine-Learning Framework Linking Movement, Facial Expression, And Real-Time Generative Composition, Martin Mc Corry

School of Art, Design and Architecture Theses

This thesis investigates whether embodied human expression—captured through facial and full-body motion—can be translated into musically coherent behaviour using time-series machine learning and real-time generative systems. The project develops and evaluates a multimodal framework that links participant-specific emotion inference to an interpretable, artist-configurable generative music system.Across two sensing modalities, personalised BiLSTM-based models achieved ~99%window-level validation accuracy within participants under a strict leak-free protocol, with no evidence of overfitting. These models were deployed within a low-latency real-time inference system. The research introduces a structured translation layer comprising a consensus mapping matrix and a tiered control architecture, mediating between probabilistic inference and …

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 …

In Trust We Trust: Role Of Trust In Business Negotiations In The Context Of Switzerland As A High-Trust Country, Aksana Babich

Plymouth Business School Theses

The present research examines the role of trust in business negotiations in the context of Switzerland, a high-trust country. Using a qualitative, practitioner-oriented design grounded in template analysis, the research draws on semi-structured interviews with thirty professionals from diverse sectors of the economy of the canton of Geneva. Switzerland’s high-trust environment provides an empirical context in which trust mechanisms are particularly visible and operational.The research advances conceptual, empirical and methodological knowledge of trust in negotiations. Conceptually, it clarifies the meaning of trust, demonstrating that trust is not a one-dimensional construct centred on risk and vulnerability, but a multifaceted moral value …

Examining The Nexus Between Social Capital, Value Co-Creation And Entrepreneurship In Nigeria: Assessing The Moderating Role Of Social Media In A Resource-Constrained Context, Ben Omoruyi

Plymouth Business School Theses

This research provides a transformative perspective on how Social Capital (SC), Value Co creation (VCC), and Social Media (SM) interact to shape Entrepreneurial Outcomes (EOs) in institutionally weak, resource-constrained contexts. Positioned within a positivist ontology and grounded in Social Capital Theory, the research reconceptualises SC not as a passive stock of relationships but as a dynamic entrepreneurial capability, strategically mobilised to access resources, legitimacy, and opportunities. Focusing on Nigeria’s fashion industry, a sector characterised by informality, weak institutions, and heavy network reliance, the study adopts a quantitative, deductive design. Data from a cross-sectional survey of 580 entrepreneurs aged 18–55, in …

Driving Venture Success: A Collaborative Framework For The Consumer Goods Industry, Mohammad Alhusaeini Mohammad

Plymouth Business School Theses

This thesis addresses the persistent gap between the strategic promise of external corporate venturing (ECV) and its frequently disappointing outcomes in the global consumer goods industry, with a specific focus on the non-durable consumer goods sub‑sector. Despite ECV’s recognised importance for innovation—particularly in a sector characterised by rapid consumer preference shifts, tight margins, and complex supply chains—collaborations with external start-ups are often undermined by cultural misalignment, strategic ambiguity, and ineffective performance measurement. Through an abductive, mixed-methods research design within an interpretivist paradigm—integrating archival analysis, six in-depth corporate case studies (P&G, PepsiCo, Unilever, Danone, Henkel, and L’Oréal), and 32 interviews with …

The Connectedness Between Awareness And Practice Of Waste Control And Recycling In Urban Villages: A Cross-Sectional Community-Based Study., Nelifer Shreya Ammanna, Jeenal Valine Mendonca, Chethan Kunder, Sushwetha Poojary, Swagath Nayak, Ansuya Ansuya, Mitchelle Shilpa Lewis

Manipal Journal of Nursing and Health Sciences

Introduction: Waste management is an increasing problem that occurs globally due to expanding population around the globe. Researchers worldwide are working towards ending this problem that impacts the environment and people's health. The knowledge of the wastes produced and how we manage them is vital for the population to understand; knowing about it and practicing the same will create a ripple effect on the waste generated by the people.

Objective: To determine the condition of the urban villages in terms of awareness and practice of waste management, and to know whether these are interrelated.

Methods: A quantitative approach with …