Digital Commons Network^™

Color Constancy In Virtual Environments With Head-Mounted And Flat-Panel Displays Across Different Illuminants And Lightness Levels, Andrea Avendano Martinez

Theses

Virtual reality (VR) is commonly used as a tool for enhancing immersion within virtual environments, with one of its primary goals being to approximate real-world perception as closely as possible. In everyday life, variations in lighting conditions significantly influence how colors are perceived across different times and settings. However, the human visual system compensates for these changes, maintaining relatively stable color perception; a phenomenon known as color constancy. This process is driven by chromatic adaptation, the visual system’s adjustment to changes in illumination. Despite the growing use of VR, little research has explored how color constancy operates in virtual environments …

Enhancing In-Car Interaction: Analyzing Deaf And Hard-Of-Hearing Drivers’ Usage, And Interaction With Voice-Controlled In-Car Infotainment System, Sanskriti Kumar

Theses

Voice Control Interface is a technology that allows users to use spoken language to interact with a system. The system is capable of speech recognition where the user can input a command, the system understands and executes the commands, and gives an output through text and/or speech. Voice Control Interfaces (VCIs) have become an ubiquitous technology, from public information kiosks to personal computer devices and intelligent virtual assistant devices. The technology is constantly evolving and improving with the intentions to make life easier, however, research has revealed unique challenges VCIs pose for Deaf and hard-of-hearing (DHH) users due to reliance …

Continuous Professional Development (Cpd) For Inclusive Education In Uae Schools: Current Practices And In-Service Teachers’ Preferences, Hafsa Khaled Aishan

Theses

Professional development serves as a driving force in empowering teachers within inclusive education settings. The purpose of this study was to investigate the perspectives of both general and special education teachers about the effectiveness of currently implemented professional development practices. Data were collected using explanatory mixed-methods design, which included a questionnaire and semi-structured interviews. This method was utilized to improve the depth of research through the integration of quantitative and qualitative data. The combination of these two methods strengthens validity, reduces bias, and increases reliability. Non-probabilistic purposive sampling method was employed to collect the data as a total of 115 …

Investigating Teachers' Perceptions On The Effectiveness Of School Inspection In Public Schools In The United Arab Emirates, Ruqaia Adel Mohammed

Theses

School inspection plays a significant role in ensuring quality education in UAE public schools. This paper investigates public school teachers’ perceptions of the effectiveness of school inspections in the United Arab Emirates (UAE) and examines the impact of teachers’ demographic factors on these perceptions. A total of 218 teachers across the UAE participated in the study. The research focused on four key domains within the School Inspection Perception Framework (SIPF): Perceived Effectiveness of School Inspections (PESI), Perceived Effectiveness of School Inspection Training (PESIT), Perceived Credibility of School Inspections (PCSI), and Perceived Usefulness of School Inspection Feedback (PUSIF). Data were collected …

The Development Of Year One Students’ Reading Ability In A Curriculum Using Monster Phonics Scheme In The Uae, Sara Berrandjia

Theses

This study explores the impact of the Monster Phonics program on the reading development of Year 1 students in Al Ain, UAE. Reading proficiency is a fundamental skill in early education, and phonics instruction plays a crucial role in literacy acquisition. Monster Phonics, a color-coded synthetic phonics program, has been increasingly adopted in classrooms, yet its effectiveness in multilingual settings remains underexplored. This research aims to investigate how students' reading ability develops in the context of a curriculum using the Monster Phonics scheme. A mixed-methods approach was employed, combining quantitative assessments pre- and post-tests on grapheme-phoneme correspondence, word reading, and …

التَّسوية الجزائيَّة في قانون الإجراءات الجزائيَّة الإماراتي, Fatima Salem Al Dhaheri

Theses

Penal Settlement in the UAE Criminal Procedure Law

In pursuit of enhancing justice and improving the efficiency of the criminal justice system, modern legislations have witnessed significant developments in the mechanisms through which the state exercises its right to impose sanctions. This has been achieved through the adoption of innovative approaches in criminal policy. Several legal systems have embraced alternative mechanisms to resolve criminal disputes outside the framework of traditional criminal proceedings, whether in cases of violations (infractions), misdemeanors, or even certain felonies. In line with this approach, the UAE legislator introduced the Criminal Settlement System in the latest amendment …

Hybrid Treatment Method Of Biofiltration Preceded With Advanced Oxidation Process For The Removal Of Emerging Contaminants From The Wastewater Treatment Plant Effluent, Anjali Mohan Payathuparambil

Theses

The global demand for potable quality water has been on a continuous rise. Consequently, water reuse is now considered as an alternative to significantly expand supplies of freshwater in communities facing water shortages. Most of the conventional wastewater treatment plants (WWTP) are not efficient in the removal of emerging contaminants from the water, which will cause serious issues to the environment, human and animal life. This research investigated the possibilities of treating wastewater for reuse. First, the feasibility of utilizing a biofiltration system without pre-treatment for removing emerging contaminants from the WWTP effluent was investigated. Two types of biofilter media- …

Study Of Falāj Pathways And Their Unknown Extension In Al Ain City Using Geophysical Methods, Saud Mohammed Alsenaani

Theses

Historically, the city of Al Ain has relied on its Falāj systems as historic water resources for freshwater, which is vital for drinking and irrigating its oases and essential for supporting life in the region for centuries, providing the foundation for communities and farming. The remarkable rainfall in 2024 uncovered several hidden ancient Falāj systems and newly enlarged versions of previously recorded ones, highlighting the importance of ongoing research for their preservation. This research project aims to examine the current Falāj systems in Al Ain, particularly Falāj Mezyad, using geophysical methods to identify uncharted extensions and to examine current Falāj …

The Impact Of Rubric-Based Feedback On Efl Writing Proficiency: Exploring Revision Skills And Learning Transfer, Ahmed Abdelraheem Elyan

Theses

This study explores how rubric-based feedback influences the writing development of English as a Foreign Language (EFL) learners, with a particular focus on their revision practices, learning transfer, and the challenges they face with cognitive overload. The research was carried out in a high school context in the United Arab Emirates (UAE), aiming to understand the real impact of structured feedback on students’ writing performance.

Twenty Arabic-speaking students participated in the study, completing four essay writing tasks over eight weeks. These included a pre-test, two feedback-supported drafts, and a post-test. Their essays were assessed using an analytic rubric designed to …

Construction Of Stock Portfolios By Machine Learning Methods, Alfan Gehad Abulehia

Theses

We study the theory and application of two machine learning (ML) algorithms: Long-Short Term Memory Network (LSTM) and Random Forest. The study begins by providing an overview of mathematical foundation, highlighting the significance of mathematics in machine learning. We study and explain the mathematical details involved in these two algorithms. We also study closely related subjects which include but not limited to gradient descent, automatic differentiation, and recurrent neural network. The main ideas behind these topics form the foundation of any ML algorithms.

As an application of the ML algorithms, we focus on the U.S. stock market. We build stock …

A Bayesian Belief Networks Approach To Prioritize Road Safety Mitigation Measures For Eco-Mobility Modes, Fatmah Mohamed Alyammahi

Theses

This study presents an innovative decision-making approach that enables the prioritization of road safety measures for eco-mobility users—pedestrians, cyclists and light-electric micromobility riders—in Abu Dhabi. The analysis uses 2032 eco-mobility crash records (1016 pedestrian, 567 bicycle, 449 e-scooter) from 2020-2023 supplied by Abu Dhabi Police and the Department of Municipalities and Transport. A supervised Bayesian Belief Network (BBN) was constructed around six empirically estimated variables: visibility, predictability, road curvature, obstructions, lighting and speed limit. Maximum-likelihood conditional-probability tables were derived from the cleaned dataset; Beta priors were applied only where cell counts were sparse. Ten conventional machine-learning models—including Random Forest, Gradient …

Assessing Readiness For Transformation From Rulebased To Ai-Based Chatbot In Uae Healthcare: A Case Study Of A Rehabilitation Hospital In Abu Dhabi, Mubarak Alketbi

Theses

This study investigates the readiness for transforming rule-based chatbots to AI-based chatbots in UAE healthcare, examining a rehabilitation hospital in Abu Dhabi through quantitative research involving healthcare professionals (N=96) and technical analysis. Findings revealed positive perceptions of the current system alongside enhancement opportunities through AI capabilities, with perceived usefulness strongly correlating with behavioural intention, high service quality ratings for empathy and responsiveness, midcareer professionals demonstrating the highest AI acceptance levels, and system integration identified as the highest priority implementation area.

The research contributes to healthcare technology transformation knowledge in the UAE by providing a structured implementation framework addressing technical requirements, …

Collaborative Network Traffic Management Strategies Using Distributed Reinforcement Learning And Large Language Models, Saeed Rashed Alkuwaiti

Theses

The focus of this research is to explore collaborative network traffic management strategies using the Distributed Reinforcement Learning (DRL) and Large Language Models (LLMs) approaches. It emphasizes exploring a new tool for addressing network traffic by utilizing Distributed Reinforcement Learning (DRL) and Large Language Models (LLMs). This is achieved by utilizing self-organizing and self-directing techniques to optimize the network performance. Using the NF-TON-IOT dataset, various classifiers such as Random Forest, AdaBoost, C4. 5, Multi-Layer Perceptron (MLP), and SVM with an RBF kernel were tested for traffic classification and intrusion detection. Research recommends that DRL optimizes the complexity of the network …

نحو مظلة تشريعية إماراتية لإقرار الشخصية القانونية للروبوتات, سعيد سالم الشامسي

Theses

Electronic Monitoring in UAE Criminal Legislation

With the great progress witnessed in the fields of artificial intelligence and robotics, these technologies have had a direct impact on various aspects of daily life. Smart robots, which have the ability to self-learn and make decisions, are no longer mere technical tools, but have become entities that play vital roles in many sectors such as health, industry, security, and government services. How can the relationship between humans and robots be regulated? Is it possible to give robots a "legal personality" that allows them to bear responsibility for their actions?

The United Arab Emirates …

Smart Traffic Intersections: Leveraging Isac And Millimeter-Waves For Advanced Vehicle Platooning, Mohammed Risal Thadathil

Theses

The rapid advancement of self-driving cars is reshaping the transportation industry and accelerating the development of smart cities. Vehicle platooning, a key capability of autonomous vehicles, has the potential to enhance traffic efficiency, reduce congestion, and improve safety at intersections. However, maintaining platoon cohesion, minimizing latency, and optimizing traffic signal interactions remain significant challenges. This study addresses these issues by leveraging Integrated Sensing and Communication (ISAC) technology with millimeter-Waves (mmWaves) signals to optimize platooning performance at traffic signal intersections.

The research identifies gaps in existing Vehicle-to-Everything (V2X) communication frameworks, particularly in managing platoon movements in urban traffic intersections. To bridge …

A Data-Driven Recommendation System For Selecting The Appropriate Mode Of Learning And Instructional Tools Based On Course Characteristics, Ayisha Manzoor

Theses

The rapid transformation of educational delivery methods during the COVID-19 pandemic required institutions to transition between online, hybrid, and offline learning approaches, creating both challenges and opportunities for educators and students. While online and hybrid learning modes ensured continuity, their effectiveness across different course types remained uncertain. This thesis addresses this gap by developing a datadriven recommendation framework that predicts Course Learning Outcome (CLO) achievement scores using regression, and recommends the most appropriate learning mode (online, hybrid, or offline) along with instructional tools based on course characteristics. This study analyzed 100 undergraduate and postgraduate courses from the College of Information …

إعادة توطين اللاجئين في ضوء أحكام القانون الدولي, منار معاوية الدويكات

Theses

Analytical Study of the Principles of Non-Refoulement and Resettlement of Refugees in Light of the Provisions of International Law

The refugee crisis is one of the most significant challenges facing the modern international community. A report from the United Nations High Commissioner for Refugees (UNHCR) has shown that the number of refugees worldwide has risen to approximately 110 million. This means that a large number of individuals are living outside their home countries, residing in host nations as refugees. While hosting refugees is an international obligation that host countries must adhere to, in some cases, the increasing number of refugees …

Design And Evaluation Of Geopolymer Composite As A Potential Sorbent Of Heavy Metals From Water, Ebtesam Mohammed Alghafri

Theses

Reducing the levels of heavy metals in water is crucial, given their severe environmental and health impacts. Various methods exist for heavy metals removal. Yet, they mostly come with multiple drawbacks, such as costly treatments and limited efficiency. Previous studies have found geopolymer to be a promising sorbent because it is synthesized using by-product materials, making it an eco-friendly and economically sustainable alternative. Limited studies explored the sorption potential of fly ash-slag blended geopolymers; none examined the effect of mix design factors synergically on sorption, mechanical properties, and durability, and few considered solution characteristics and operating conditions simultaneously. Therefore, this …

Monitoring Sand Migration In Al Ain City Utilizing Remote Sensing Techniques, Sanad Salem Mohammad Fareaa

Theses

Sand migration significantly impacts urban development, infrastructure, and ecosystems in arid regions such as Al Ain city, United Arab Emirates (UAE). This study employs advanced remote sensing techniques to monitor and predict sand dune migration across the Sieh Al Hama dune field, a critical area west of Al Ain. The research objectives include quantifying dune migration rates over three years (2018–2020) using monthly Sentinel-2 satellite imagery, identifying distinct dune fields, and analyzing the textural and mineralogical properties of dune sediments to infer their provenance. Field sampling from four dunes (Large Sabra Dune, Dune 1, Dune 2, and Dune 3) was …

Culex Quinquefasciatus Mosquitoes In Abu Dhabi Emirate: Assessing Deltamethrin Insecticide Resistance And Associated Microbial Communities, Amgdsayed Ismat Ali

Theses

Culex quinquefasciatus is a major vector of West Nile virus, lymphatic filariasis, and arboviruses, which represent public health risk. Widespread application of pyrethroid insecticides has increased resistance in mosquito populations threatening the effectiveness of control strategies. This study aims to (1) assess deltamethrin resistance in Culex quinquefasciatus populations across the Abu Dhabi Emirate, (2) characterize the microbial communities associated with these mosquitoes.

Mosquitoes from sites around the Abu Dhabi Emirate were collected and genomic DNA extracted for molecular analysis. PCR and allele-specific primers were used to detect knockdown resistance (kdr) mutations in the sodium channel gene, classifying mosquitoes as susceptible …

A Microgravity Investigation Of The Subsurface At The United Arab Emirates University Campus, Fidha Farzana Ismail

Theses

This thesis investigates subsurface structures within the United Arab Emirates University (UAEU) campus using microgravity survey. Gravity methods are widely used in geophysical exploration to detect density variations that may indicate subsurface anomalies. The primary objective of this research is to generate the Bouguer anomaly map of the UAEU campus to map subsurface structures and to assess potential geological hazards such as cavities. A total of 76 gravity stations were measured across the UAEU campus using the Scintrex CG-6 gravimeter. The acquired gravity data underwent standard processing to obtain the Bouguer anomaly, including tidal, instrumental drift, latitude, free air, Bouguer, …

Study Of The Extension Of Cavities In Jebel Hafeet By Implementing Geophysical Methods, Mai Rashed Alkaabi

Theses

Subsurface cavities pose challenges to the buildings and their stability, leading to ground instability and subsidence. In Al Ain City, UAE, particularly in Jebel Hafeet, cavities within carbonate formations and sedimentary rocks present risks to infrastructure and urban development. This study employs Electrical Resistivity Tomography (ERT) and Gravity Surveys to detect, locate, and determine the depth of these cavities, enhancing geological understanding and geohazard assessment. The ERT survey, using a pole-dipole array, was conducted along eight lines to identify subsurface anomalies. It revealed high-resistivity anomalies (> 45 Ω·m), indicative of air-filled cavities, and low-resistivity zones (< 6 Ω·m), corresponding to water-saturated or clay-rich deposits. The ERT survey detected resistivity variations, highlighting anomalies ranging from 45 to 120 Ω·m at depths between 1 m and 17 m. The gravity survey, conducted at 28 stations, detected low-density anomalies, which aligned with high-resistivity ERT zones, confirming subsurface cavities at depths between 10 m and 220 m (below ground level). Five 3D gravity inversion models visualized density variations, revealing cavities at different depths for the models from 0 m to 195 m (a.s.l). The integration of ERT and gravity methods significantly improved cavity detection accuracy, demonstrating a strong correlation between low-density gravity anomalies and high-resistivity features. This study recommends increasing gravity station density, and avoiding heavy infrastructure in cavity-prone areas. The findings contribute to the geological understanding of Jebel Hafeet, providing insights for sustainable urban planning, risk mitigation, and infrastructure safety in Al Ain City.

المسؤوليَّة الجِنَائِيَّة عن الاتجار بالأعضاء والأنسجة البشريَّة في ضوء المرسوم بقانون اتحادي رقم (25) لسنة 2023 – دراسة مقارنة, مريم سعيد الحمودي

Theses

Criminal Liability for Trafficking in Human Organs and Tissues in Light of Federal Decree Law No. (25) of 2023 – “A Comparative Study”

The crimes of trafficking in human organs and the legal responsibilities they raise are among the most heinous, complex, and multidimensional criminal phenomena, and are considered the most dangerous sources of human rights violations, because they have taken an approach that violates the integrity, dignity, and humanity of the human body

The trade in human organs, as one of the forms of human trafficking crimes, which is an organized cross-border crime, has become a fast …

School Leadership Insights And Practices: Understanding Bullying Prevention Strategies Among Teachers In Private And Public Schools Across The Uae, Wissal Mohsen

Theses

This thesis investigates the detrimental effects of bullying on students, including its impacts on mental health, academic performance, and overall well-being. Addressing this issue necessitates a proactive strategy involving school leaders, teachers, and parents. Data was collected via a questionnaire: selected items employed a 5-point Likert scale, while others used a multiple-choice format. Analysis was conducted in SPSS and included descriptive statistics, one-way ANOVA, t-tests, and binary logistic regression. The t-tests indicated that leadership practices implemented to prevent bullying in both public and private schools were highly effective and statistically significant (p < .05). This research contributes to our understanding of how school leadership and teacher involvement influence the efficacy of bullying-prevention strategies. By using quantitative methods, the study offers a comprehensive examination of school policies, bullying-awareness initiatives, and reporting systems. The findings highlight the importance of adopting context-specific approaches to bolster prevention efforts within schools. Future research that combines qualitative and quantitative analyses may yield deeper insights into the real-world challenges encountered in bullying-intervention strategies, thereby bridging the gap between policy formulation and practical implementation to ensure anti-bullying programs are both effective and culturally relevant.

Network-On-Chip Packet Obfuscation And Encoding For Hardware Trojan Mitigation, Sydale John Ayi

Theses

Networks-on-Chip (NoCs) represent a transformative advancement in System-on- Chip (SoC) communication architectures, addressing the scalability and performance limitations of traditional bus-based systems. The increasing reliance on NoCs in modern SoCs has raised security concerns, particularly in untrusted fabrication environments. This thesis investigates the vulnerabilities posed by malicious hardware Trojans and untrusted IP cores, such as reverse engineering, misdirection attacks, and brute-force decryption. To counter these threats, the study introduces a robust security framework leveraging encoding and obfuscation techniques. Hamming codes are employed to detect and correct errors, ensuring data integrity and correcting misdirection attacks. Discrepancies between codewords and data words …

Implementation And Dissemination Of The 'About Eating' Program: Evaluating Participant Engagement, Usability, And Module Interest, Justin Konrad Walker

Theses

Abstract Background: Online nutrition education can improve food choices among underserved populations. The About Eating New York (AENY) program is a web-based, self-paced series of modules designed to enhance nutritional literacy, resource management, and confidence in healthy eating. Leveraging dissemination and implementation (D&I) science, AE partnered with community organizations across New York’s ten fiscal regions to extend its reach. Methods: This study analyzed secondary data from the AENY dissemination effort. Participants were recruited via social media and community organizations. Pre- and post-program surveys and end-of-lesson surveys assessed demographics, engagement, and perceptions of usability. Quantitative analyses included descriptive statistics, t-tests, ANOVAs, …

Beyond The Food: A Scoping Review Of Avoidant/Restrictive Food Intake Disorder (Arfid)'S Comorbidities, Nutrition, And Growth Outcomes, Emily Szewczyk

Theses

Objective A scoping review design was chosen for this study to appropriately assess and understand the knowledge on ARFID and to identify psychological or developmental comorbidities, growth outcomes, and nutrient deficiencies and/or excesses in children and adolescents. Introduction Avoidant/Restrictive Food Intake Disorder (ARFID) is a relatively new eating disorder, characterized by the DSM-5 in 2013.1 Individuals with ARFID exhibit selective eating due to lack of interest in eating food, sensory sensitivity, or a fear of possible vomiting or choking.2 The malnutrition seen in individuals with ARFID can result in physical health complications including weight loss, malnutrition, growth delay, decreased bone …

Interspecific Sources Of Resistance For Neisseria Gonorrhoeae: Investigating Horizontally Transferred Antimicrobial Resistance Markers, Makenna Swartz

Theses

Antibiotic resistance is a growing public health crisis, limiting treatment options and increasing the burden of infectious diseases. Bacteria can rapidly gain resistance through mutations and horizontal gene transfer (HGT). Understanding these mechanisms is critical for developing strategies to mitigate resistance and preserve antibiotic efficiency. Neisseria gonorrhoeae, the causative agent of gonorrhea, has developed resistance to multiple antibiotics, and has only one remaining treatment option. Commensal species are constantly exposed to antibiotics in humans, and over time acquire resistant mutations that then transfer to pathogenic species through HGT. Investigating these exchanges can provide insight into how resistance evolves and spreads …

Mapping Accessibility In Dubai: Evaluating Al Wasl And Mirdif Against 20-Minute City Principles And The Dubai 2040 Urban Master Plan, Fatima Mohammed Almulla

Theses

The 15-minute city is a planning concept that aims to give people easy access to daily services such as schools, shops, healthcare, and recreation within a short walk or bike ride. Dubai has adapted this concept into a 20-minute city model under the Dubai 2040 Urban Master Plan. The goal is to reduce car use, improve quality of life, and create connected and sustainable neighborhoods. This study evaluates how well two neighborhoods in Dubai, Al Wasl and Mirdif, match the 20-minute city model. It analyzes three main goals from the Urban Master Plan: having 55% of residents within 800 meters …

Adaptive Reuse Of Abandoned Schools, Dayana Williams

Theses

This thesis investigates the adaptive reuse of abandoned school buildings in economically declining communities, mainly focusing on how these transformations can contribute to sustainable community revitalization. The research highlights Columbus, Ohio, where school closures and grade realignments threaten to leave many school properties vacant, especially in minority neighborhoods. This adaptive reuse strategy presents an opportunity to address issues such as urban decay, resource efficiency, and social equity by repurposing these buildings into multifunctional community assets. The study adopts a multi-method approach, including literature reviews, case study analysis, and community needs assessments, to identify best practices and critical challenges in adaptive …