Digital Commons Network^™

Groundwater Quality And Health Risk Assessment In The Fujairah Region Using Hydrogeochemical, Statistical, And Spatial Approaches, Mohammed Khaled Alawlaqi

Theses

Groundwater is a valuable resource in the arid climate of the United Arab Emirates, where growing population, agricultural, and industrial activities are putting increasing pressure on the limited groundwater reserves. This work investigates the hydrogeochemical characteristics of groundwater in the Fujairah region to assess water quality and potential health risks. A total of 64 groundwater samples were collected from the Eastern Shallow Aquifer (ESA) and the Ophiolite aquifer in the study area and were analyzed for physicochemical parameters, major ions, and trace metals. Hydrogeochemical methods such as Piper, Gibbs, Chadha, and Schoeller diagrams were used to identify water types and …

Isolation And Characterization Of Plant Growth Promoting Rhizobacteria From Soils In The Uae And Their Effect On Plant Salt Tolerance, Layla Zayed Almazrouei

Theses

Plants are constantly challenged by environmental stresses that restrict their growth and productivity. In the United Arab Emirates (UAE), soil salinity is a critical barrier to agriculture, particularly for tomato (Solanum lycopersicum), which is highly sensitive to moderate salinity levels (>2.5 dS m⁻¹). This study explored the potential of plant growth–promoting rhizobacteria (PGPR), especially actinobacteria, to enhance salt tolerance in tomato. The objective was to evaluate the effects of rhizosphere-competent (RC) and non-rhizosphere-competent (NRC) PGPR on plant physiology and yield in saline sandy soils. Actinobacterial strains were isolated from the tomato rhizosphere and screened to produce 1-aminocyclopropane-1-carboxylic …

Advancing Security Safeguards In Large Language Models Through Multi-Agent Systems, Mohammed Rashed Alnuaimi

Theses

This thesis focused on enhancing the safe use of Large Language Model (LLM) through the innovative use of a Multi-Agent System (MAS). As LLMs like ChatGPT became essential to our everyday interactions, the need to maintain the safe use of these systems increased. This research thoroughly assessed the current security measures in place for LLM, pointed out their limitations and developed new and more effective security strategies. The core of the proposed solution was a MAS designed to ensure that all data processed by LLM met guidelines including Privacy, Confidentiality, and Ethical standards before reaching the user. The system involved …

Evaluating Large Language Models For Automated Cv Ranking: A Hybrid Embedding Approach For Enhanced Recruitment, Sarah Mohamed Alhindaassi

Theses

Increasing numbers of applications have revealed limitations in legacy keyword-filtering-based Applicant Tracking Systems (ATS), which commonly overlook candidate potential and ignore contextual or transferable skills. Advances in Natural Language Processing (NLP) and Large Language Models (LLMs) offer an exhilarating alternative, supporting context-sensitive and human-crafted reasoning in candidate evaluation. This thesis systematically evaluates four classes of approaches, lexical models, embedding-based methods, Large Language Models (LLMs), and hybrid ensembles, for automation of Curriculum Vitae (CV) to Job Description (JD) matching without exploiting prior annotations or annotations at match time. Using a combination of publicly available datasets and real-world sample data covering three …

Extremism Governance In The United Arab Emirates: A Case Study Using Qualitative Policy Framework, Haya Saleh Almansoori

Theses

This thesis investigates how the United Arab Emirates governs extremism using various models of governance and Gareth Morgan’s metaphorical organizational models. This research goes beyond a focus on security and looks at extremism as a governance and policy problem related to social cohesion, institutional trust, and legitimacy. The research utilizes a qualitative case study design through analyzing federal laws and national strategies, as well as institutional frameworks to understand how authority, coordination and meaning are organized in the UAE’s governance of extremism.

The results show that the UAE’s governance of extremism is characterized as a hybrid governance model with hierarchical …

Screening For Potential Plant Growth‐Promoting Rhizobacteria (Pgpr)-Assisted Phytoremediation To Mitigate Lead Toxicity In Uae Soils, Zeinab Mohamed Abdalla

Theses

This study investigates the potential of lead (Pb)-tolerant actinobacteria that possess 1-aminocyclopropane-1-carboxylate deaminase (ACCD) activity and plant growth-promoting (PGP) traits to serve as a biological tool for enhancing the growth of corn (Zea mays L.) under Pb stress. The primary objective of this research was to isolate and characterize novel, Pb-tolerant, rhizosphere-competent actinobacteria and to evaluate their efficacy in mitigating Pb toxicity, reducing its uptake, and promoting biomass accumulation in corn grown in contaminated soil. A total of 43 actinobacterial isolates were obtained from Pb-contaminated rhizosphere soil and screened for Pb tolerance, rhizosphere competence, ACCD activity, and PGP traits. …

Exploring Family-Friendly Policies In The Uae, Mariam Sultan Al Kaabi

Theses

Background: Family-friendly policies (FFPs) have become a critical element in global debates surrounding work–family balance (WFB), organizational performance, and gender equity. In the United Arab Emirates (UAE), rapid legal reforms, including Federal Decree–Law No. 33 of 2021, the introduction of paid parental leave, expanded maternity protections, and increased recognition of flexible and remote work, reflect a national commitment to strengthening family well-being.Yet, despite these advancements, many working parents continue to experience tensions between regulatory intentions and workplace realities.

Purpose: This study examines the lived experiences of fourteen working parents in the UAE to understand how current FFPs and workplace arrangements …

Experimental Investigation: Performance Of Ranque–Hilsch Vortex Tubes Under Various Surface Boundary Conditions, Ahmad Al-Najjar

Theses

The Ranque–Hilsch vortex tube (RHVT) is a passive thermofluid device that splits compressed gas into simultaneous cold and hot streams through strong swirling flow inside a slender tube, without moving parts. This study experimentally examines how external boundary conditions applied to the tube wall influence RHVT performance. Three wall conditions were imposed: (i) externally cooled (cooling), (ii) externally heated (heating), and (iii) adiabatic (insulated). Tests were conducted with air over an inlet pressure range of 2–6 bar. The primary objective was to understand the extent to which wall thermal condition modifies temperature separation and energy efficiency. Performance was quantified using …

Microstructural And Mechanical Characterization Of Aa6082 /Sic/Al2o3 Hybrid Nano Composite Fabricated By Ultrasonic Assisted Stir Casting, Anasmon Koderi Valappil

Theses

The utilization of aluminium alloys has increased rapidly in past decades due to the increasing demand for lightweight and high-performance materials. Among the popular aluminium alloys, AA6082 is widely favoured for its excellent combination of strength, corrosion resistance, and machinability. Most previous work, however, has concentrated on either on micro scale reinforcement or on single ceramic particles, leaving very few experimental studies on the use of hybrid nano reinforcement in AA6082. Therefore, to further enhance its mechanical properties without compromising its inherent advantages, hybrid metal matrix composites were developed using various nano particulates as reinforcements. In this current study, AA6082-based …

From Waste To Wall Finish: Developing And Characterizing Sustainable Concrete Finishes With High-Volume Fly Ash And Biochar For Interior Applications, Prajwal Dudhane

Theses

This study explores the creation of environmentally friendly interior concrete finishes by recycling agricultural and industrial waste. In a 1:3 cementitious-to-aggregate mortar mix, the study investigates high-volume (30%) cement replacement using fly ash (FA30), biochar (BC30), and a hybrid combination (FAB30). It illustrates the viability of converting waste streams into workable architectural finishes through meticulous material investigation, mechanical testing, and aesthetic evaluation. Different performance characteristics were found by the technical examination. FA30 outperformed the control mix with a 14-day compressive strength of 8.00 MPa thanks to pozzolanic activity and decreased water demand. On the other hand, BC30 (7.33 MPa) significantly …

Examining Children’S Intuitive Understanding Of Mechanical Systems With A Gears Assembly Task, Nicole Taboada

Theses

Children’s causal reasoning about machines and their components is crucial for acquiring knowledge about science and math. Mechanistic understanding involves knowing how parts can be effectively connected to work together as a functional mechanical system. Little is known about how children’s understanding of mechanical systems develops across the lifespan. Legare and Lombrozo (2014) developed a gears assembly task to assess children’s understanding and learning of mechanics but did not track this skill across ages. The present study adapted the gears assembly task to measure mechanistic understanding in children between the ages of 4 to 11 years and adults. The goal …

Phenotypic, Genetic And Genomic Prediction Of Greenhouse Gas Emissions In Irish Cattle, Clodagh Ryan

Theses

Enteric methane is the largest source of agricultural greenhouse gas emissions in Ireland, accounting for 63% of the sector’s total. Achieving the legally binding target of a 25% reduction in agricultural emissions by 2030 requires low-cost, scalable mitigation strategies. Genetic selection offers a cumulative and permanent solution, with potential to reduce emissions without compromising productivity. This thesis aimed to quantify the genetic variability of methane and carbon dioxide emissions in growing beef cattle, investigate their relationships with economically important traits, and evaluate the feasibility of incorporating a methane trait into the Irish national beef breeding objective. Emissions data were collected …

Uncovering The Efficacy Of Unlabelled Data In Anomaly Detection, Andrew Shields

Theses

Anomaly detection is an important area of research within data mining and has applications in many domains, including cybersecurity, finance, and healthcare. Conventional methods depend on labelled training data and assume an even class distribution, restricting their 'real-world' application, where rare anomalies and unlabelled data are the norm. This research addresses these limitations by investigating how unlabelled data can support anomaly detection in imbalanced, data-scarce, complex environments. It addresses three research questions: how to integrate unlabelled data into anomaly detection models, how to improve performance when labelled anomalies are scarce, and how graph-based methods capture complex relational anomalies. Three empirical …

Functional Foods For Older Adults: Comparing The Bioactive Properties Of Cheese To Identify Products That Promote Healthy Ageing, Aimee Plante

Theses

Functional foods for the elderly: comparing the bioactive properties of cheese to identify products that promote healthy ageing.

People are living longer, and a healthy ageing population is a key goal of our National Positive Ageing Strategy. One approach to support this initiative is to promote and develop functional foods that can support healthy ageing by reducing age-related conditions, including cardiovascular disease, diabetes, obesity and cancer. Cheese particularly aged and fermented varieties like cheddar show great potential as a functional food with inherent and established health properties. It naturally contains bioactive peptides, vitamins, minerals, protein and possible cultures that confer …

A Framework For Adaptive Ride-Sharing And Management Of Electric Vehicles, Avinash Nagarajan

Theses

Europe aims for carbon neutrality by 2050, with transportation currently amount- ing 20% of its total emissions. Motivated by the sustained mass transition to Autonomous Electric Vehicles (AEVs) and by the distributed energy generation and storage of local Smart Energy Communities (SECs), this thesis presents the design, implementation and evaluation of a carbon-neutral, community-based, scalable ride-sharing service. Its models formalise the partition of an AEVs fleet over the SECs of a city, as well as the allocation of trip petitions (TPs) to AEVs, their routing and charging scheduling over a simulated time horizon. These models integrate energy generation, allocation and …

Advanced Nanophotonics For Gas Spectroscopy, Ajmal Thottoli

Theses

This thesis introduces advanced nanophotonic integrated devices aimed at improving miniaturized, cost-effective multi-gas detection and on-chip spectroscopic systems. Traditional spectroscopic techniques often require bulky optical components and multiple detectors, limiting their scalability for multi-gas sensing. The proposed integrated duplexers and triplexers enable switching between lasers to detect multiple gases using a single system. The work focuses on the design and optimization of broadband angled multimode interference duplexers, directional coupler-based duplexers, and cascaded directional coupler-based triplexers for combining spectroscopically relevant wavelengths in the near-infrared region. The target gases include ammonia, methane, and carbon dioxide. Through comprehensive simulations and experimental investigations, the …

Co-Designing Work-Integrated Learning At The Phd Level, Kristin Bracewell

Theses

This study seeks to understand work-integrated learning (WIL) at the Doctor of Philosophy (PhD) level in Ireland through an exploration of the opinions and experiences of the three primary stakeholders to WIL, students, academic supervisors, and potential host organisations or employers. The research utilises the experiences and opinions of the key stakeholders in WIL and centres the student voice. Empirical evidence is used to challenge the assumption that WIL is a wholly positive inclusion and, instead, consider both its benefits and drawbacks. The study takes a pragmatic approach and considers how WIL at the PhD level can be optimised to …

The Antimicrobial And Antibiofilm Effects Of Marine-Derived Crude Extracts, Monica Murphy

Theses

Marine-derived compounds are promising candidates in the search for new antimicrobials. This thesis explores their potential against a suite of clinically relevant bacterial strains. Saltwater environments were screened for antimicrobial compounds, leading to the identification of two lead bacterial strains, Bacillus subtilis_MTUA2 and Bacillus velezensis_MTUC2. Cell-free supernatant (CFS) of these strains significantly reduced the growth of MRSA and clinical S. aureus isolates (50%), inhibited biofilms by 99% and 90%, respectively, and reduced E. coli biofilms by 90%. To expand the scope of bioactive marine sources, crude extracts from two seaweeds, Codium fragile and Fucus vesiculosus, obtained using methanol and water …

Evaluation Of Existing Grazing Infrastructure And Development Of A Cost- Optimal Infrastructure Upgrade Methodology For Commercial Dairy Farms, Paul Maher

Theses

Grazing infrastructure is a critical component of pasture-based dairy systems, yet its performance on commercial Irish farms has not been fully quantified. This thesis aimed to: (1) assess current pasture allocation practices, (2) evaluate roadway network efficiency, (3) identify factors influencing herd movement and roadway suitability, and (4) explore cost-effective strategies to reduce labour input related to herd movement. Chapter 3 assessed pasture allocation frequency and the configuration of roadway networks across 135 commercial Irish dairy farms over the grazing season of 2020. Data were gathered from PastureBase Ireland and detailed maps of each farm. The distance between the milking …

Addressing Training Challenges Of Generative Adversarial Networks For Biomedical Image Synthesis, Muhammad Muneeb Saad

Theses

Artificial intelligence (AI) plays a pivotal role in computer-aided diagnosis. In image-based diagnosis, AI systems rely on biomedical images containing sensitive disease-oriented information. AI systems utilize machine learning models to automate this diagnosis. Machine learning models such as deep neural networks require large training datasets to enhance the diagnostic precision of these models. Models can underperform when they are trained on imbalanced datasets. Imbalance in datasets refers to the skewed numbers of images per image class. There is a need to enhance the training of these models via data augmentation. In the context of biomedical imagery, where acquiring large, balanced …

Generation And Detection Of Photo-Thermal And Photo-Acoustic Waves In Solids For Advanced Near-Field Ir Imaging, Yide Zhang

Theses

Atomic force microscopy-infrared (AFM-IR) spectroscopy has become an essential tool for nanoscale chemical imaging, offering spatial resolution beyond the diffraction limit of conventional infrared spectroscopy. A typical AFM-IR setup directs a pulsed IR laser onto the sample, precisely at the tip of an AFM cantilever, detecting local absorption indirectly as photothermal expansion via the tip. This combination of AFM’s high spatial resolution and infrared spectroscopy’s chemical specificity enables detailed studies of a wide range of materials, from polymers and biological tissues to nanomaterials. However, the factors influencing AFM-IR signal generation and spatial resolution-especially in complex and inhomogeneous samples-remain challenging to …

Bioinformatic Analysis Of Pogz Variants In Relation To White Sutton Syndrome, Hannah Rollins

Theses

White-Sutton syndrome (WHSUS) is a rare neurodevelopmental disorder caused by mutations in the Pogo Transposable Element with ZNF Domain (POGZ) gene, which encodes pogo-transposable element with ZNF domain, a chromatin regulator essential for proper mitotic progression and DNA repair. This study uses a bioinformatic framework to evaluate the structural and functional impact of missense mutations in the conserved amino acid region (positions 500–800) of the POGZ protein. Protein modeling, variant effect prediction, conservation analysis, and molecular dynamics simulations were employed to gain an understanding of the effects of POGZ missense mutations on protein structure and movement with specific emphasis on …

أحكام المسؤولية الجنائية وأجهزة الذكاء الاصطناعي, Fatmah Ali Al Dhanhani

Theses

The Criminal Liability Provisions of Artificial Intelligence (AI) Actions

This study aims to define the concept and levels of artificial intelligence (AI) to understand its legal nature, personality, and impact on criminal liability. It analyzes the current legal frameworks and examines existing legislation related to AI, assessing their ability to address issues concerning criminal responsibility for the actions of these systems. The study begins by defining the precise concept of criminal liability to understand how it can be applied in a technological environment. It then defines AI and explores its legal nature, to analyze current frameworks and how effectively they …

Adaptive Security Metric For Optimizing Post-Quantum Cryptography In Constrained Iot Devices, Aisha Nasser Ahmed

Theses

Quantum Computing poses real threat to Classical Public-Key Cryptography requiring the use of Post-Quantum Cryptography for all Internet of Things Devices. However, there are greater computational, memory and communication overheads in PQC algorithms that create additional burdens on resource constrained IoT devices. At this time, there are no standard measures for systems developers to determine optimal PQC settings for the various IoT Device Classes. This Thesis develops a new framework of metrics for determining the most suitable PQC settings based on Security Strength, Performance Indicators (Latency, Memory, Energy), Communication Overhead and Reliability for each IoT device class. The Research introduces …

Physicochemical And Structural Optimization Of Date (Phoenix Dactylifera L.) Syrup: Impact Of Extraction Temperatures And Pectin Addition, Afna Thaivalappil Abdul Asiz

Theses

This thesis focuses on the optimization of date (Phoenix dactylifera L.) syrup, an emerging natural sweetener rich in glucose, fructose, and bioactive compounds, by investigating how extraction temperature and pectin incorporation influence its physicochemical and structural properties. Therefore, the main objective of this study was to examine how extraction temperatures (25°C, 50°C, 75°C, and 90°C), and the incorporation of lowmethoxyl pectin (LMP, DE 31%) and high-methoxyl pectin (HMP, DE 85%) prior to concentration, affect the quality, stability, and functionality of date syrup. The results showed that increasing extraction temperatures increased the total soluble solids (16 °Brix at 25°C to …

Making Math Accessible: Addressing Language Challenges In 3rd Grade English Medium Math Classrooms, Salha Mohamad

Theses

The research article, Making Math Accessible: Addressing Language Difficulties in 3^rd Grade English Medium Math Classrooms, addresses the issue of how the teachers in UAE elementary schools assist a student who is to study mathematics in English rather than Arabic. In the School X, Grades 1 and 2 applied mathematics and science using the Ministry of Education (MOE) Arabic-medium curriculum. Since Grade 3, however, the school has used the American curriculum, so students are expected to study these subjects in English. This change brings major barriers in understanding basic mathematical terms, word problems, and instructions. The research applies …

Eccentricity In Binary Black Hole Mergers, Katelyn J. Wagner

Theses

Recent studies have shown that orbital eccentricity may serve as an important indicator of dynamical assembly as a formation channel for binary black holes. In contrast to binaries that evolve in isolation and circularize through long-term gravitational radiation, dynamically assembled binaries, such as those formed through gravitational encounters in dense stellar environments, may retain measurable eccentricity up to the point of merger. Because eccentricity leaves a distinct imprint on gravitational-wave signals, it provides a powerful observational handle on the astrophysical origins of compact binaries. Detecting this signature requires sensitive and accurate modeling of gravitational-wave signals, particularly as binaries enter the …

Assessing The Feasibility Of Large-Scale, Selective Aqueous Quadrupole Ion Trap Separation, Daniel Brunner

Theses

The global challenges presented by water and resource scarcity and the drawbacks of the methods designed to resolve them escalate the need for innovative selective ion separation solutions. Environmental concerns, material constraints, high costs, and limited scalability are unavoidable disadvantages that hinder many selective separation technologies. Through its reliance solely on electric field manipulation and its avoidance of hazardous solvents or selective membranes, the quadrupole ion trap in an aqueous environment presents itself as a worthy alternative to contemporary separation methods. This research effort aims to gauge the feasibility of using a large-scale aqueous quadrupole ion trap (i.e. traps with …

Targeting Ribosome Biogenesis In Cic-Dux4 Sarcoma Treatment By Using Rna Polymerase 1 Inhibitors, Hema Sri Kambala

Theses

CIC-DUX4 sarcoma (CDS) is a rare, aggressive round-cell tumor that primarily affects children and young adults and is associated with poor clinical outcomes. Current treatments borrow from Ewing sarcoma regimens but offer limited benefit, underscoring the need for targeted therapeutic strategies. Transcriptomic analysis of CDS cell lines revealed a striking overrepresentation of ribosome biogenesis genes, indicating that CDS relies heavily on hyperactive RNA Polymerase I (Pol I)–driven rRNA synthesis. To evaluate this vulnerability, the Pol I inhibitors CX-5461 and BMH-21 were tested across multiple functional assays, including rRNA transcription, proliferation, migration, and 3-dimensional spheroid growth. Both inhibitors reduced rRNA synthesis …

Investigating The Effects Of Cbd And Caffeine Interaction On Embryonic Development In Xenopus Laevis, Jeanesia M. Pierre

Theses

This study examined the interactive effects of cannabidiol (CBD) and caffeine on Xenopus laevis embryos over a 96-hour exposure period. Developmental toxicity was assessed using toxic unit isobole analysis, with LC₅₀, EC₅₀, and teratogenic index (TI) values calculated for CBD, caffeine, and mixtures at 3:1, 1:1, and 1:3 ratios.

Results showed that mixtures produced concentration-dependent interactions. When caffeine levels were higher, the mixtures displayed synergistic toxicity; as the proportion of CBD increased, the interaction shifted toward a concentration-addition model. Mortality was elevated in mixtures relative to single-compound exposures, while malformation rates decreased, indicating reduced teratogenicity. Overall, findings suggest that CBD …