Digital Commons Network^™

The Future Of Epilepsy Care In The United Kingdom: A Roadmap For Technology-Enabled Transformation, Rohit Shankar, John Terry

Peninsula Medical School

Epilepsy is recognized to be a significant cause of premature mortality, socio-economic distress and poor quality of life in economically developed countries. Despite clear clinical guidelines, epilepsy care is marked by delayed diagnosis, fragmented management, high emergency admission rates, and pronounced health inequalities affecting rural populations, ethnic minority groups, and people with intellectual disabilities. Diagnostic pathways remain inefficient, with prolonged waits for electroencephalography (EEG), low sensitivity of routine investigations, and repeated inconclusive testing. Long-term management continues to depend on infrequent hospital visits and unreliable patient recall, contributing to suboptimal seizure control, avoidable morbidity, and preventable mortality. In the United Kingdom, …

Robotic Assessment Of Human Motor Control: Contextual Learning, Aging, And The Balancing Of Unstable Systems, Laura Alvarez Hidalgo

School of Engineering, Computing and Mathematics Theses

This thesis investigates human sensorimotor control using three complementary sets of experiments. These examine contextual motor learning, aging-related motor performance, and human balance.First, a series of experiments examined how different sensory modalities influence motor memory formation during dynamic learning. Using a robotic manipulandum to implement an interference task, we assessed how the contextual effect of visual and passive lead-in movements decays over time, specifically as a function of dwell time between the movement cue and the required action onset. Results revealed a modality-dependent pattern of decay: while both cue types enabled dual adaptation to opposing force fields, passive cues preserved …

Evaluation Of The Effect Of Vibration On Signal Reflection In Coaxial Cable Connectors For Vibration Sensing In Aircraft Structures And Systems, Saidanvar Esanjonovich Valiev, Anthony C. Okafor, Jeremiah J. Rittenhouse, Daniel S. Stutts, Jie Huang

Mechanical and Aerospace Engineering Faculty Research & Creative Works

This paper investigates the effects of vibration on signal reflection (S11) in aerospace data transmission line (ADTL) and commercial data transmission line (DTL) connectors for their alternative use as vibration sensors. The impact of vibration on the S11 signal was investigated on five ADTL and four DTL connectors at six vibration frequencies (20 Hz, 40 Hz, 80 Hz, 160 Hz, 320 Hz, and 640 Hz) and four vibration accelerations (0.5G, 1 G, 2 G, and 4G). The experiment was conducted using a split-plot design with a cable type assigned as the main-plot factor, with vibration frequency and acceleration as subplot …

Multiplexed Fabry-Pérot High-Temperature Sensing Based On Dispersive Microwave-Photonic Frequency-Time Domain Analysis, Ruimin Jie, Chen Zhu, Bohong Zhang, Koustav Dey, Jie Huang

Electrical and Computer Engineering Faculty Research & Creative Works

We propose and experimentally demonstrate a multiplexed high-temperature Fabry-Pérot (FP) fiber sensing system interrogated by dispersive microwave-photonic frequency-time domain analysis (DM-FTDA). In the proposed architecture, incoherent broadband probing light is modulated by radio-frequency (RF) signals and then reflected by a parallel network of hollow-core photonic crystal fiber FP (HCPCF-FP) sensors. A chirped fiber Bragg grating provides strong dispersion to map the composite FP spectral response into a well-defined microwave transfer function. Unlike conventional optical Fourier-domain multiplexing that requires deliberate cavity-length allocation, the proposed approach achieves multiplexing via delay-dominated discrimination. Distinct delay fibers are assigned to each sensor branch, and an …

Rode: Linear Rectified Mixture Of Diverse Experts For Food Large Multi-Modal Models, Pengkun Jiao, Xinlan Wu, Bin Zhu, Jingjing Chen, Chong-Wah Ngo, Yu-Gang

Research Collection School Of Computing and Information Systems

Large Multi-modal Models (LMMs) have significantly advanced a variety of vision-language tasks. The scalability and availability of high-quality training data play a pivotal role in the success of LMMs. In the realm of food, while comprehensive food datasets such as Recipe1M offer an abundance of ingredient and recipe information, they often fall short of providing ample data for nutritional analysis. The Recipe1M+ dataset, despite offering a subset for nutritional evaluation, is limited in the scale and accuracy of nutrition information. To bridge this gap, we introduce Uni-Food, a unified food dataset that comprises over 100,000 images with various food labels, …

Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language Models, Bin Zhu, Yinxuan Gui, Huiyan Qi, Jingjing Chen, Chong-Wah Ngo, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Multimodal Large Language Models (MLLMs) have exhibited remarkable advancements in integrating different modalities, excelling in complex understanding and generation tasks. Despite their success, MLLMs remain vulnerable to conversational adversarial inputs. In this paper, we systematically study gaslighting negation attacks—a phenomenon where models, despite initially providing correct answers, are persuaded by user-provided negations to reverse their outputs, often fabricating justifications. We conduct extensive evaluations of state-of-the-art MLLMs across diverse benchmarks and observe substantial performance drops when negation is introduced. Notably, we introduce the first benchmark GaslightingBench, specifically designed to evaluate the vulnerability of MLLMs to negation arguments. GaslightingBench consists of multiple-choice …

Not Too Early, Not All At Once: Design Tensions In Ai-Mediated Self-Disclosure In Online Dating, Pei-Hua Tsai, Tianyi Zhang, Emran Bin Elias Poh, Anthony Tang, Yung-Ju Chang

Research Collection School Of Computing and Information Systems

Online dating relies on self-disclosure, yet initial conversations are fragile: users must navigate uncertainty around timing, boundaries, and reciprocity with little shared context. While advances in AI raise the possibility of mediating disclosure, how such support might reshape the experience of early-stage relational disclosure remains underexplored. We conducted 29 semi-structured interviews to examine how daters envision AI-mediated self-disclosure in online dating. Our findings surface recurring design tensions rather than simple opportunities or risks. Participants welcomed guidance that could pace disclosure, support reflection, and reduce social awkwardness, but stressed preserving agency and authorship. They valued interpretive assistance for sense-making of ambiguous …

Sok: Understanding Zkvm: From Research To Practice, Guomin Yang, Yunbo Yang, Yuejia Cheng, Haibo Tang, Bingsheng Zhang, Kui Ren

Research Collection School Of Computing and Information Systems

Zero-knowledge virtual machine (zkVM) is a powerful infrastructure for proving the correctness of a program execution with a succinct proof, attracting significant interest from researchers, developers, and users. It has been widely used in applications such as blockchain rollups, privacy-preserving machine learning, and off-chain computation. As the field grows, a wide range of zkVMs have been proposed. However, they adopt different choices in instruction formats, trace layouts, and proving backends, which results in a highly heterogeneous design landscape and makes it difficult to understand the relations among these systems.To bridge this gap, we provide a comprehensive study of zkVMs that …

Enhancing Pointing Gestures Of Non-Hmd Users In Asymmetric Collocated Mixed Reality Collaboration, Nam-Dang Vo, Van-Vinh Thai, Anthony Tang, Khanh-Duy Le

Research Collection School Of Computing and Information Systems

A common collocated group setting in mixed-reality (MR) collaboration is a person wearing a MR headset (HMD user) and presenting MR contents to audiences who are not provided with such specialized devices (Non-HMD users). In this setting, while Non-HMD users can view the MR environment shown on a large physical display, it still remains challenging for the HMD user to interpret their pointing gesture when they spatially refer to objects in the MR environment. To address this, we designed and evaluated two pointing techniques—SCREEN and SCREEN+SPACE—that support Non-HMD users in referring to MR content. Screen pointing allows users to refer …

How Do Machine Learning Models Change?, Joel Castaño, Rafael Cabañas, Antonio Salmerón, David Lo, Silverio Martínez-Fernández

Research Collection School Of Computing and Information Systems

The proliferation of Machine Learning (ML) models and their open source implementations has transformed AI research and applications. Platforms like Hugging Face (HF) enable this evolving ecosystem, yet a large-scale longitudinal study of how these models change is lacking. This study addresses this gap by analyzing over 680,000 commits from 100,000 models and 2,251 releases from 202 of these models on HF using repository mining and longitudinal methods. We apply an extended ML change taxonomy to classify commits and use Bayesian networks to model temporal patterns in commit and release activities. Our findings show that commit activities align with established …

Analytical And Numerical Methods For Solving Fractional Integro-Differential Equations Using The Modified Operational Matrix Method, Nour Alzoubi

Theses

Fractional calculus has attracted considerable attention in recent years because of its wide applicability to model a variety of linear and nonlinear physical phenomena across different scientific disciplines. In particular, fractional diferential equation systems have proven to be effective in describing processes with memory and hereditary properties. However, the solvability and analysis of such systems strongly depend on the type of fractional operator employed, especially in the presence of nonlocal fractional derivatives with singular kernels, which remain an open and challenging area of research.

The main objective of this thesis is to develop efficient analytical and numerical techniques for solving …

Collaboration In Context: The Present And Future Of Coordinated Care For New Mexico's Military-Connected Population, Zachary Bridgewater, Vincent Delsignore, Mary Rachel Keville, Lisa Marie Murray

Institute for Veterans and Military Families

With the support of the New Mexico State Legislature, the D’Aniello Institute for Veterans and Military Families (IVMF) led a multi-phase project to design a coordinated care system for New Mexican service members, veterans, and their families. In the project’s first phase, the IVMF conducted a landscape assessment to understand the needs of the military-connected community and examined the viability of a coordinated care system for the state. Key findings included strong support for coordinated care amongst veteran serving organizations, a fragmented service landscape across the state, structural barriers to care caused by rurality and geographic concentrations of resources, and …

Kolonialisme Iklim Dan Tercerabutnya Pengetahuan Ekologi Tradisional: Sosio-Bioekonomi Sebagai Reorientasi Epistemologis, Viky Arthiando Putra

Antropologi Indonesia

Abstract The global climate change has brought with it a growing stack of conceptual proposals – from green economy to bioeconomy – each presenting itself as a non-extractive economic alternative. Unfortunately, these conceptual claims continue to reproduce colonial logic that subordinates local knowledge. The loss of Traditional Ecological Knowledge (TEK) is not merely an ecological setback: it is a systematic epistemological violence – a product of climate colonialism operating within the architecture of global green programs. This article traces the discourse of green economy, analyzes the loss of TEK as an epistemological problem, and proposes a socio-bioeconomy reorientation as a …

Advanced Mathematical Modeling And Data-Driven Techniques For The Diagnosis Of Diabetes Using Continuous Glucose Monitoring (Cgm) Data, Farah Morsi

Theses

Diabetes mellitus is a major and growing health challenge, particularly in the Middle East and North Africa (MENA) region. Continuous Glucose Monitoring (CGM) provides high-resolution time-series data that capture detailed glucose fluctuations over time. However, conventional CGM summary measures, such as mean glucose, standard deviation, and time-in-range, may not fully describe the nonlinear temporal structure of glucose dynamics.

This thesis investigates nonlinear dynamical approaches for analyzing CGM time series, with a focus on recurrence-based analysis and ordinal-network analysis. Recurrence-based methods, including recurrence quantification analysis (RQA), are used to characterize geometric and temporal patterns in reconstructed phase space, while ordinal networks …

On The Fractional Laplacian Type Operator, Maysam Abdulnaser Zain

Theses

In this thesis, we study analytical structures arising from Dunkl theory and their

applications to harmonic analysis and fractional Laplacian operators. Dunkl operators are differential–difference operators associated with finite reflection groups, providing a natural generalization of the classical Fourier analysis through the introduction of root systems and multiplicity functions. Within this framework, several classical transforms appear as special cases of the (k,a)-generalized Fourier transform. We study the generalized Fourier transform ��ₖ,ₐ, its kernel B_k,a (x,y), and the associated translation operator and convolution structures. Using these tools, we construct the corresponding heat …

استخدام تقنيات الذكاء الاصطناعي في إجراءات الاستدلال والتحقيق "دراسة مقارنة", حمد مصبح اليليلي

Theses

The Use of Artificial Intelligence Techniques in Reasoning and Investigation Procedures: Comparative Study

This research aims to analyze the role of artificial intelligence (AI) technologies in the stages of criminal investigation and inquiry through an applied analytical study. It focuses on the use of these technologies to support law enforcement and investigators with advanced scientific methods, particularly in analyzing digital evidence and accurately linking it to suspects. The study also explores the future development of these systems through their integration with AI technologies to enhance the efficiency of criminal investigation.

The United Arab Emirates has consistently been keen to develop …

Effects Of Led Light Spectra And 1-Mcp On Postharvest Quality And Bioactive Compounds Of Cucumber (Cucumis Sativus L.) During Cold Storage, Imad Eldin Abbas Yousif

Theses

Extending postharvest quality and maintaining the nutritional value of cucumber fruit requires specific storage conditions to postpone senescence and enhance marketability. The postharvest lighting environment is a main factor that influences quality preservation for harvested biomass. The objective of this study was to investigate the effects of different light emitting diodes (LED) spectra (green, red, blue, and white LED) alone or in combination with 1-Methylcyclopropene (1-MCP) on postharvest quality and bioactive compounds of cucumber fruit during cold storage for 16 days at 5°C, the control fruit were left in the dark. For combined treatment, the fruits were exposed to 1-MCP …

A Hybrid Approach To Phishing Email Detection: Leveraging Machine Learning And Large Language Models, Hessa Shamal Biri

Theses

Phishing attacks have reached a new level of sophistication through the deployment of large language models by attackers. The current AI-generated threats defeat existing detection systems which base their operation on past data. The thesis presents a hybrid system for phishing email detection which combines real email data with synthetic LLM-created samples to enhance traditional machine learning classifiers performance. The study created a hybrid dataset of 20,627 emails by combining 18,631 real messages from the Kaggle Email Classification Dataset with 1,996 synthetic emails. The synthetic emails were generated using four large language models LLaMA-3, Falcon, LLaVA, and Mistral to capture …

Exploring The Fidelity Of Resistance Training Interventions In Regional, Rural, And Remote Cancer Care: A Systematic Scoping Review, Christopher W. Rowe, Nicolas H. Hart, Julia Carlino, James Murray

Research outputs 2022 to 2026

Resistance-based exercise interventions are an integral part of supportive cancer care, though their high quality and high-fidelity implementation with people with cancer living in non-metropolitan locations is challenging. This systematic scoping review aimed to identify how exercise prescription principles and measures of fidelity are reported in resistance-based exercise interventions delivered to people with cancer living in regional, rural and remote areas. A systematic scoping review was conducted in accordance with the PRISMA-ScR guidelines. Five electronic databases were searched (MEDLINE/PubMed, Embase, CINAHL, SCOPUS and SportDiscus) for peer-reviewed studies published in English, that delivered a resistance-based exercise intervention to adult cancer survivors …

Geographic Range And Body Size Influence Abundance Patterns In Reef Fishes, M. F. Maxwell, D. R. Barneche, R. Divieso, S. R. Floeter, O. J. Luiz, A. L. Luza, M. R. Pie, A. C. Siqueira, M. G. Bender

Research outputs 2022 to 2026

Aim: Understanding how body size and geographic range size influence species abundance is central to macroecology. Here, we characterized these relationships for reef fishes, the world's most diverse vertebrate group, across global and regional scales. Location: Global tropical and subtropical reefs. Time Period: Current. Major Taxa Studied: Reef-associated fishes. Methods: We compiled a comprehensive dataset on abundance, body size and geographic range size for 828 reef fish species. Abundance was measured as density (ind/m²) using transect-based observational data. To analyse global-scale patterns, we applied Bayesian quantile regressions and Bayesian phylogenetic regressions to account for phylogenetic relatedness. We also …

Aviation Accident Investigation Analysis Methodologies Used By 12 Government Safety Investigation Authorities, Kym Bills, Leesa Costello, Marcus Cattani

Research outputs 2022 to 2026

Introduction: Leading government Safety Investigation Authorities (SIAs) that investigate major aviation accidents are members of the International Transportation Safety Association (ITSA). Investigation analysis methodology details are rarely included on SIA websites, in final accident reports, shared with peers, or specified by the International Civil Aviation Organization (ICAO). Some ‘New View’ safety researchers assume SIAs don't use systemic methodologies and that accident investigation has little value. Because of the sensitivity of SIA work and need to prioritize safety value from available investigation funding, there has been little academic research on choice and use of investigation analysis methodologies to address these issues …

Higher Sodium Intake Is Associated With Episodic Memory Decline In Cognitively Unimpaired Older Males: A 6-Year Longitudinal Study, Francisca Chuwa, Stephanie R. Rainey-Smith, Hilal Salim Said Al Shamsi, Hamid Sohrabi, Kevin Taddei, Colin L. Masters, Ralph N. Martins, Samantha L. Gardener

Research outputs 2022 to 2026

Recent evidence has suggested an association between high sodium intake and development of cognitive impairment. However, while animal studies demonstrate consistent relationships between sodium intake and cognitive impairment, this relationship remains less clear in humans. Our aim was to investigate the relationship between self-reported baseline sodium intake and cognitive decline over 72 months. Cognitively unimpaired participants (n = 1208) from the Australian Imaging, Biomarkers and Lifestyle study were included (70.87 years of age; 41 % male). Participants completed a food frequency questionnaire to quantify sodium intake and underwent comprehensive neuropsychological assessment at baseline and four additional timepoints, 18 months apart. …

Protective Potential Of Minimally Processed, Plant-Derived Foods Against Steatotic Liver Disease In Early Adulthood, Yasmina Tashkent, Jocelyn M. Choo, Steven L. Taylor, Therese A. O'Sullivan, Dujinthan Jayabalan, Sophie J. Miller, Richard Woodman, Luis Calzadilla-Bertot, Oyekoya T. Ayonrinde, Lawrence J. Beilin, Trevor A. Mori, John K. Olynyk, Alan J. Wigg, Kate R. Muller, Leon A. Adams, Geraint B. Rogers

Research outputs 2022 to 2026

Background & aims: The incidence of steatotic liver disease (SLD) among younger adults is increasing globally. While poor diet is a recognised risk factor, the impact of specific dietary components is unclear. We investigated associations between dietary patterns and SLD markers in younger adults. Methods: Analysis involved 887 members of the Raine Study Generation 2 cohort, assessed at age 27. SLD was defined using a validated MRI volumetric liver fat fraction equation. Dietary intake, assessed by food frequency questionnaires, was summarised using a modified Overall Diet Score (ODS) that classified foods as “healthy” or “unhealthy.” Associations between diet and SLD …

Blue Carbon Stocks, Accumulation Rates And Knowledge Gaps In Africa, Janine B. Adams, Pattrick, Pere Masqué, Dennis Adotey, Elsheikh Bashir Ali, Abdelgadir Bashir Mohamed Awatif, Mohamed Fathi Ben Hamouda, Moncef Benmansour, Joseph F. Charles, Jerome Harlay, Lucienne Human, Linet Kiteresi Imbayi, Rashid Omari Ismail, Anesu Machite, Nezha Mejjad, Athi N. Mfikili, Ndanu Mumo, Maurice Ndeye, Wilfried Essowè Panassa, Issa Sakho, Suleiman Suleiman, Vanessa Hatje

Research outputs 2022 to 2026

Blue carbon ecosystems (BCEs), including mangroves, salt marshes, and seagrasses, play a critical role in climate mitigation due to their high carbon sequestration capacity. Despite Africa's extensive and diverse coastal ecosystems, continent-wide assessments of blue carbon stocks and accumulation rates remain scarce. Here, we synthesized blue carbon data from 87 publications (January 1993 - March 2026) to evaluate the current state of knowledge and regional variability. Our analysis reveals marked regional heterogeneity in sediment organic carbon (SOC) stocks across Africa, reflecting both ecological variability and methodological differences among studies. Normalised to a sediment depth of 1 m, median SOC stocks …

Understanding Adolescents’ Attitudes Toward Disabilitiesto Improve Out-Of-School Programs, Vanessa Spero, David C. Diehl, John M. Diaz, Serap Gorucu

Journal of Youth Development

This study explores adolescents’ attitudes and perceptions toward individuals with disabilities in out-of-school time (OST) settings. Gaining insight into these attitudes can help inform future initiatives and interventions to develop programs that foster inclusion and greater participation of people with disabilities in OST programs. This study employed quantitative methods using the Brief Questionnaire for Adolescents on Attitudes Toward Persons with a Disability (CBAD-12A), developed by Álvarez-Delgado et al. (2020), to survey adolescents about their attitudes and perceptions toward individuals with disabilities. The results of the study revealed no statistically significant differences in attitudes toward individuals with disabilities based on whether …

The Heart Of Camp: Belonging, Relationships, And Growth Of Character And Skills, Alecia Moser, Nila Rosen, Maurice Elias, Sarah R. Sprayberry, Andrea Vest Ettekal

Journal of Youth Development

This study examined how campers’ experiences of belonging, counselor support, and new close friendships relate to life skill and character development in North American Jewish youth. Residential summer camps are relational settings that promote positive youth development. Although belonging and supportive relationships are theorized to drive such development, few studies have tested these camp features in current camper populations, and less is known about how friendship formation and perceptions of counselors distinctly interact with belonging to shape development. In this study, end-of-summer surveys were administered to middle- and high-school-aged campers at five Jewish residential summer camps. Measures included assessing belonging, …

4‑H Efforts Toward Demographic Representation, 1980–2025: A State‑Of‑The‑Art Review (Part 1), Jeremy Elliott-Engel, Jeff Wayne Howard

Journal of Youth Development

This state-of-the-art review synthesizes 45 years of scholarship (1980–2025) to assess how effectively the 4-H program has worked to serve a demographically representative youth population. Drawing on academic and gray literature (n=99) sources, the review traces 4-H’s evolution from its segregated land grant origins to contemporary efforts focused on access, equity, inclusion, and belonging. It documents progress in culturally responsive programming and national diversity, equity, inclusion (DEI) initiatives while highlighting persistent disparities in participation and benefit distribution. The review identifies effective strategies, enduring structural barriers, and areas where research and practice remain limited, offering a comprehensive foundation for understanding 4-H’s …

201 W. 95th St. Realty Llc V Shambi

All Decisions

In this holdover alleging the tenant failed to sign a GCEL renewal lease (RPL § 216[1][j]), the court grants the tenant's motion for discovery on the landlord's claim of a lawful substantial rehabilitation removing the unit from rent stabilization and on the reasonableness of the renewal's rent increase. No DOB permits support the claimed rehabilitation, and the increase exceeded 10% - presumptively unreasonable under GCEL.

Mitigating Disparities In Diagnosis Of Dementia, Lycia Tramujas Vasconcellos Neumann, Simin Mahinrad, Erin L. Abner, Soo Borson, Goldie S. Byrd, Maria Carrillo, Lindsay Clark, Anthony N. Correro Ii, Kacie D. Deters, Gladys E. Maestre

School of Medicine Publications

The field of Alzheimer's disease and related dementias (AD/ADRD) is undergoing a transformative shift with a better understanding of disease biology, biomarker-based diagnostics, and disease-modifying therapies. Yet, these advancements risk exacerbating existing disparities in diagnosis and care. The 2024 Alzheimer's Association International Conference (AAIC) Advancements: Exploring Equity in Diagnosis convened interdisciplinary experts to address these inequities and chart a path toward population-generalizable research and practice. This article synthesizes key insights from the conference, highlighting considerations for inclusive and representative research design, ethical approaches in diagnostic disclosure, as well as challenges and solutions at individual, community, and systemic levels to advance …

Guide: How To Set Up And Manage Your Google Business Profile, Jesse Wright

UNH Cooperative Extension

No abstract provided.