Digital Commons Network^™

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 …

Enhancing The Acceptability Of Decision-Making System Using Xai Case: Crime Profiling System, Mohamed Saeed Al Shamsi

Theses

In the current world, we need to place more emphasis on how easily interpretable, accurate, and acceptable data analysis results are, given that essential operations in law enforcement, among other sectors, are backed up by the use of complex computing systems. Crime profiling systems that use crime data for profiling encounter major problems because they depend on algorithm-based methods. These methods can be ambiguous and inaccurate, leading to low public acceptability. The study investigates major problems with Complex Crime profiling systems (CPS) because their unexplained algorithms result in system performance issues and public scepticism. XAI provides a solution to handle …

Genomic And Metabolic Network Characterization Of Fusarium Species, Hend Hussain Mueenuddin

Theses

Fusarium covers the wide genus of fungi with over 400 species that are key in agricultural and medical practice. The purpose of the current study was to perform a comprehensive genomic profiling of the 19 Fusarium species that were captured in the National Centre of Biotechnology Information (NCBI) database. The study was made to make a comparison of the data, based on the descriptive statistics of every species, with graphical representation images enabling clear demonstration of the numbers. The study indicated that the chromosomal numbers were in the range of 0-15, the gene count was roughly 11000 -19000, while that …

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 …

Understanding Behavioral Patterns: A Case Study Of Emirati Ex-Offenders In United Arab Emirates, Salim Ali Al Naqbi

Theses

Research on desistance has helped criminologists to better understand how people change their criminal identity and exercise personal choice. Yet in the UAE, these ideas has not often been applied to prisoners serving one or multiple offenses, even though incarceration and reoffending remain important social concerns. Because of this, desistance theory has not been fully used to study how rehabilitation is managed in UAE prisons, which means that some useful lessons may be missed. This study begins to close that gap by looking at the personal stories of 15 Emirati participants that were formerly incarcerated by adapting a qualitative and …

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 …

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. …

The Simulation Of Hyperspectral Observations By The Upcoming Spacecraft "Arab Satellite 813", With The Radiative Transfer Model Sciatran, Sara Maher Alhasan

Theses

The Arab Satellite 813, which is scheduled to be launched in 2025/2026 by the UAE Space Agency, is set to increase earth observation and monitor the climate across the middle East and North Africa (MENA) region. This study uses the SCIATRAN radiative transfer model which was originally developed for the Envisat mission to simulate the hyperspectral observation specifically tailored for the satellite's payload. Using calibrations that were used by the previous research in their SCIATRAN V4.6 study and adjusting parameters like the Leaf Area Index (LAI), a simulation which agreed robustly with the benchmarks set by the previous research was …

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 …

Enhanced Privacy Preserving Healthcare Data Management With Federated Learning Using Homomorphic Encryption, Omar Abdulla Ali

Theses

Federated Learning (FL) is a decentralized approach of machine learning on multiple clients jointly training models without sharing their raw data, which drastically improves privacy and enhance protection against security breach. This is particularly critical in the healthcare sector, where hospitals and medical institutions are often unable to exchange patient records due to strict privacy regulations and data-management policies. However, there is still a risk of privacy breach when clients send their model updates to the central server, because if a model update is intercepted or analyzed by a malicious entity, it could be used to recover sensitive data using …

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 …

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 …

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 …

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 …

Ruthless: The Revolution Of Gangsta Rap, Laci D. Lavoy

Theses

The popularization of gangsta rap in the United States was pivotal to the advancement of Black America following the close of the Civil Rights Movement. The ruthlessness of gangsta rap created a distaste of authority that became a catalyst for Black American unity and change. Artists quickly started writing songs that spoke out against issues plaguing Black and poor Americans, realizing the power of the microphone and the radio. These rappers created an awareness for White audiences that had not been present before and even created a space for White artists with shared experiences. Female rappers took this activism a …

'In A Mirror, Dimly, Then Face To Face:' Reflecting On Bodily Sin And Spiritual Purity In The Central Female Figures Of Hugo Van Der Goes' Vienna Diptych, Sara Kluka

Theses

This thesis seeks to examine the so-called Vienna Diptych (1478/1479) by Hugo van der Goes. The two panels of the diptych have been displayed together since the 19th century, yet difficulties in provenance and the dating of the artist’s oeuvre have resulted in the continued questioning of its intended creation as a single campaign. This research seeks to assert the diptych’s thematic unity through a concentrated analysis of its leading female figures, a vantage point that has not yet been fully addressed in the literature. This paper will therefore examine the iconographic precedents for the unique imagery of the panels …

Ambiguous Bodies: Third Gender Expressions In Ancient Maya Art, Jayme Horne

Theses

This thesis examines the interpretations of Lintels 23, 24, and 25 from Yachilán, Drawing 18 from Naj Tunich, and Stela H from Copán, with a specific focus on third gender expression. These artworks depict figures that blend masculine and feminine attributes, from costuming to actions, to present intentionally ambiguous representations of the body that all ancient Maya people would have understood. Third gender expression is defined through the blending of masculine and feminine signifiers. It is a gender identity for people who do not identify as male or female, but rather as neither, both, or a combination of male and …

Draft Card Battler, Brian Moore

Theses

This project investigates how design transparency and player interaction mechanics can enhance emotional connection and strategic depth in competitive digital card game environments. Draft Card Battler transforms traditional sequential turn-based Trading Card Game (TCG) gameplay into a structured round-based system featuring asymmetric card-play patterns (1-2-2-1) and simultaneous combat resolution. Beginning with a physical card game prototype, the project evolved through iterative design and digital implementation, informed by research in social capital theory and player psychology. Through reflective playtesting and technical development, this study explores whether visibility, pacing, and commitment mechanics foster trust, fairness, and cooperation alongside competitive tension. The implementation …

The Mystical Kitchen: Feminist Magic And Alchemical Transformation In The Work Of Lenora Carrington, Theresa Burwell

Theses

This thesis analyzes the inherent feminism in alchemical and magical symbolism, particularly in representations of kitchens in the art and writing of Leonora Carrington. The kitchen has historically been viewed as a gendered space for domestic work. By subverting cultural and religious conventions, Carrington’s kitchen becomes a site for transmutation and feminine ritual. Using feminist discourse, formal art historical analysis, and the history of alchemical symbolism, this thesis asserts that Carrington’s imagery transforms the kitchen from an oppressive domestic space to a mystical laboratory of feminine power. A thorough analysis of Grandmother Moorhead’s Aromatic Kitchen (1975) and The House Opposite …

Immersive Art, Nature, And Afrofuturism: Cultivating Wellness And Cultural Awareness, Jojo Abenaavi Wright

Theses

This research demonstrates how Afrofuturistic art, combined with nature and scent, enables powerful methods to transform African Diaspora perceptions and support holistic wellness through sensory-emotional engagement. The project introduces The Next Narrative: An Immersive Journey Through Black Time as a multisensory immersive exhibition that combines Afrofuturistic aesthetics with Harlem Renaissance cultural elements. The exhibition presents salons as a sequence that allows visitors to experience time through visual, sonic, and atmospheric transitions. The three senses of touch, scent, and sound operate as fundamental tools for grounding and transformation, which disable analytical thinking while using bodily experiences to perform decolonial memory work. …

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 …

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 …

Illustrations For A Scientific Review Article Publication : Human Stem Cell-Derived Organoids, Sunghwan Bae

Theses

This thesis explores the role of scientific illustration in improving the comprehension of complex scientific concepts. It traces the historical development of illustrations in scientific literature and examines their functions in both research and review articles. The central contribution of this work is the development of twelve vector-based illustrations that elucidate the applications of human organoids within a review article context. These visuals transform intricate ideas into clear, engaging representations, supported by extensive research and verification to maintain scientific accuracy. The thesis concludes by addressing the future of scientific illustration, advocating for reader-oriented design approaches and the use of innovative …

Intelligent Monitoring And Alerting System Using Some Deep Learning Models, Omar Alshamsi

Theses

Road traffic crashes cause over 1.19 million fatalities per year worldwide and represent a major challenge for urban safety (World Health Organization, 2023; World Bank Group & WRI India, 2020). Smart city initiatives aim to use technology to reduce such losses through rapid accident detection and response (Arefin et al., 2025). This proposal outlines a vision for a Road Accident Detection and Response System that employs computer vision and deep learning to identify accidents from video feeds and immediately notify emergency services. The core of the system will be a custom-trained YOLOv8 object detection model, leveraging a dataset of annotated …

Democratizing Community Discourse Analysis In Computational Social Science, Md Towhidul Absar Chowdhury

Theses

Community resource inequities and undetected infrastructure vulnerabilities cost municipalities billions annually, with disproportionate impacts on marginalized communities. Current computational approaches to community needs assessment suffer from two critical limitations: they rely on aggregate-level analysis that obscures granular community expressions, and they implement sophisticated computational tools that remain inaccessible to stakeholders without technical expertise. This creates what we term the Community-Computational Gap—a persistent divide where domain experts with vital contextual knowledge cannot access the analytical tools they need, while computational experts develop models without sufficient community context. This dissertation addresses these challenges through a novel methodological framework for fine-grained utterance-level classification …

Characterizing Fish Communities Using Traditional And Emerging Monitoring Approaches In San Diego County Estuaries, Natalie Katherine De Wet

Theses

Fish communities are essential to estuarine health, playing key roles in food webs, nutrient cycling, and ecosystem functioning. However, the persistence of native fish populations is increasingly threatened by the cumulative impacts of coastal development, pollution, and climate change. Rapid, effective monitoring of species distributions is a priority, enabling timely conservation and management. However, the study of any ecosystem is limited by time, resources, and the consideration that research of a system can damage the ecosystem under study.

This research aimed to characterize fish species richness and evaluate the benefits and limitations of different estuary monitoring approaches. Specifically, this study …