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Souls Of Plants, Yuanyuan Li Jul 2024

Souls Of Plants, Yuanyuan Li

Theses

In creating fictional relationships with organisms within the plant world, I design jewelry and wearable sculptures that heal the individual, by relating to the poetic and peaceful nature of plants. The works involve the use of metal crochet, forging, screen printing, and fabric dying to create my relationship with plants, through narrative, and nostalgic stories. These stories between me and plants began in my childhood and continue to this day.


Implications Of Ai Adoption On Kosovo’S Tech Smes, Agullina Shllaku Jul 2024

Implications Of Ai Adoption On Kosovo’S Tech Smes, Agullina Shllaku

Theses

This study explores the impact of Artificial Intelligence (AI) on small and medium-sized tech enterprises (SMEs), namely the extent to which these SMEs are investing in AI technologies, and how that will impact the organizational structure of those SMEs. While most of Kosovo’s tech SMEs have started to engage with AI to some extent, the demand for such services is much lower compared to global levels. This study identifies investment strategies prominent in SMEs, as well as their initiative to internal restructuring instead of hiring. Through a mix of qualitative and quantitative data, this study generates relevant insights from employees …


Impacts Of Professional Development On Researchers, Kayleigh M. Patterson Jul 2024

Impacts Of Professional Development On Researchers, Kayleigh M. Patterson

Theses

In this work, I study the effectiveness of Professional development for Emerging Education Researchers (PEER) using a framework adapted from one that evaluates professional development for teachers. Professional Development (PD) is the process of learning information after one’s main school for job settings. These cover job/career specific skills that are not taught during schooling, since they are normally more specific. While a Ph.D. does set up a lot of specific skills, due to a changing research climate based on discoveries and organizational standards, there are always more skills to learn for a researcher. Therefore, there are professional development for researchers …


Ego - Acupressure Ar Glasses, Chin Yin Teng Jun 2024

Ego - Acupressure Ar Glasses, Chin Yin Teng

Theses

Acupressure, a time-honored healing practice rooted in traditional Chinese medicine, is known for promoting relaxation, pain relief, and overall wellness with minimal side effects. Despite its benefits, the practice involves navigating a complex system of 361 acupuncture points, posing a challenge for individuals lacking in-depth knowledge or training. Additionally, professional acupressure treatments can be costly, limiting accessibility. To address these challenges, we have developed Ego, an AR Glasses Smart Assistant designed to make acupressure more accessible and effective for the general public. Ego uses augmented reality to provide an intuitive and user-friendly interface that guides users in locating and applying …


An Evaluation Of The Irish Rugby Football Union (Irfu) Coach Education Framework In School And Club Settings, Kevin Smith Jun 2024

An Evaluation Of The Irish Rugby Football Union (Irfu) Coach Education Framework In School And Club Settings, Kevin Smith

Theses

This thesis aimed to evaluate the Irish Rugby Football Union Coach Education Framework (IRFU-CEF) and its subsequent effect on coach behaviours/perceptions, training session content, and athlete perceptions in multiple rugby union settings. The IRFU-CEF was designed to educate coaches in How to coach, as opposed to more traditional forms of coach education that are typically designed to deliver content of What to coach. A baseline analysis (Study 1) was conducted to examine current behaviours/perceptions in a rugby union coaching environment. An IRFU-CEF intervention (Study 2) was delivered to coaches in the form of a single episode as a coach education …


Towards A Net Zero University Campus, Sarah Ali Jun 2024

Towards A Net Zero University Campus, Sarah Ali

Theses

This report explores the greenhouse gas (GHG) emissions assessment and reduction strategy for the Rochester Institute of Technology of Dubai (RITD) campus, aiming to contribute towards the UAE's "Net Zero 2050" initiative. The study establishes a comprehensive emissions baseline for the year 2023 using the Greenhouse Gas Protocol (GHGP), incorporating Scope 1, Scope 2, and Scope 3 emissions. A dashboard was developed to continuously monitor annual emissions, facilitating data-driven decisions for sustainability. The total GHG emissions for RITD were approximately 5,245,197.68 kg CO2e. The primary sources of emissions were identified as electricity consumption (39%) and commuting (53%), which together constitute …


Securing The Inbox: Advancing Phishing Email Detection With Fine-Tuned Bert, Fatima Rashed Al Saedi Jun 2024

Securing The Inbox: Advancing Phishing Email Detection With Fine-Tuned Bert, Fatima Rashed Al Saedi

Theses

In recent years, phishing attacks have persisted as a widespread threat in the contemporary digital environment, presenting substantial risks to individuals and organizations. Cybercriminals are devising increasingly sophisticated strategies to deceive users through malicious emails. In response to this challenge, this research focuses on developing a new tool for detecting phishing emails utilizing the BERT algorithm. The tool aims to enhance email security by accurately identifying deceptive emails and protecting users from potential cyber threats. The primary objective of this study is to investigate how leveraging the BERT algorithm can improve the detection of phishing emails compared to traditional methods. …


Exploring English Language Teachers’ Selfefficacy Beliefs In Relation To Teaching Gifted Students, Shatha Mohammed Sobih Jun 2024

Exploring English Language Teachers’ Selfefficacy Beliefs In Relation To Teaching Gifted Students, Shatha Mohammed Sobih

Theses

This study investigates the beliefs of English language teachers regarding their ability to identify and teach gifted students, focusing on how they perceive their own skills in teaching primary grade level students (grades 1, 2, and 3) with exceptional intellectual abilities in English language education. The study followed a qualitative research design and collected data using an open-ended survey consisting of questions that encouraged participants to provide detailed and unrestricted responses. This study also performed purposeful sampling to select respondents with the necessary knowledge and experience to offer rich and meaningful data. This study targeted English language teachers (n …


Investigating The Organizational Support For Educators Supporting Students With Disabilities: A Study On Administrative Strategies In The United Arab Emirates, Amal Mahmoud Al Badawi Jun 2024

Investigating The Organizational Support For Educators Supporting Students With Disabilities: A Study On Administrative Strategies In The United Arab Emirates, Amal Mahmoud Al Badawi

Theses

The aim of the study is to explore whether organizational support can help general and special educators to provide effective services to their students with disabilities. Additionally, the study seeks to identify strategies that program administrators can employ to overcome barriers and provide better support to their staff. Using a mixedmethod approach, which includes a survey (N=25) with 10 participants working in special education and 15 in general education and interviews with five education leaders in both special and general education settings. These leaders, who hold positions such as Directors of General Education and Special Needs Coordinators, bring varied years …


Mathematical Modeling Of An Epidemic In Scalefree Network With Imperfect Vaccination, Heba Hameed Jun 2024

Mathematical Modeling Of An Epidemic In Scalefree Network With Imperfect Vaccination, Heba Hameed

Theses

In light of the recent COVID-19 pandemic, the mathematical epidemiological model has proven to be essential for understanding the disease dynamic and finding the best control tool to help contain the disease and minimize its impact. This thesis investigates the dynamics of an infectious disease spread with latent infection and vaccination. The aim is to study this model’s dynamic in a network that reflects the heterogeneity of the environment where the disease spreads. The vaccination is assumed to be not perfect, which means that vaccinated persons are likely to be infected and that the vaccinated person could lose their immunity, …


Performance Analysis Of Underground-To-Aboveground Communication In Agricultural Iot Networks, Irfana Ilyas Manzil Jun 2024

Performance Analysis Of Underground-To-Aboveground Communication In Agricultural Iot Networks, Irfana Ilyas Manzil

Theses

This thesis investigates the potential of LoRa, a low-power, wide-area networking technology, for establishing reliable communication between underground sensors and aboveground infrastructure. We comprehensively analyze LoRa's performance in both single-hop and multi-hop configurations, considering the impact of diverse environmental factors such as soil composition, moisture content, underground transmission distance, and path loss on signal propagation. We delve into the crucial role of the spreading factor (SF) within the LoRa communication system, analyzing its influence on network performance. Furthermore, we develop a comprehensive mathematical model for bit error rate (BER) under various channel conditions, including additive white Gaussian noise (AWGN) and …


The Anticancer Activity Of A Novel 8-Hydroxyquinoline Derivatives Against 5-Fluorouracil Resistant Colorectal Cancer Cells, Mazoun Talal Al Azzani Jun 2024

The Anticancer Activity Of A Novel 8-Hydroxyquinoline Derivatives Against 5-Fluorouracil Resistant Colorectal Cancer Cells, Mazoun Talal Al Azzani

Theses

Cancer is a global health crisis for which 20 million new cases were diagnosed in 2022 alone, with 9.3 million cancer-related deaths. Nearly 900,000 deaths were due to colorectal cancer (CRC), which is the third leading cause of cancer related mortality. In the United Arab Emirates, 550 new cases of CRC were reported in 2022. A major clinical challenge with CRC treatment is the development of resistance to 5-fluorouracil (5FU)-based chemotherapy regimens, which are the standard treatment for CRC. In the present study, the anticancer activity of two novel 8-hydroxyquinoline (8-HQ) derivatives AS45 and AS47 was examined against 5FU-sensitive (HCT116) …


Fish-Eye Camera-Based Real-Time Pedestrian Crossing Predicting System, Mohammed Abdulla Almesafri Jun 2024

Fish-Eye Camera-Based Real-Time Pedestrian Crossing Predicting System, Mohammed Abdulla Almesafri

Theses

Fisheye cameras are widely used in traffic monitoring for their broad view, yet their distortion challenges deep-learning models in pedestrian detection and tracking. Despite available datasets like FishEye8K, collected in Hsinchu, Taiwan, and the availability of several studies that have delved into pedestrian prediction systems, a notable gap remains: the absence of datasets specifically designed for the cultural context of the UAE. This study aims to address this gap by introducing an in-house fisheye dataset tailored to enhance the prediction and tracking of pedestrians in fisheye footage within the UAE's environment. The present study addresses the development of a Graphical …


The Differences Between Metacognitive Reading Strategies Used By Native Arabic Speakers In The Uae When Reading Digital Versus Printed Materials, Razan Majed Shehadeh Jun 2024

The Differences Between Metacognitive Reading Strategies Used By Native Arabic Speakers In The Uae When Reading Digital Versus Printed Materials, Razan Majed Shehadeh

Theses

This study explores the differences between the metacognitive reading strategies that native Arabic speakers college students use in the UAE when reading digital vs. printed texts. A convergent Mixed-Methods Design was employed to achieve the purpose of this study. The first data comprised a background questionnaire and two metacognitive reading surveys reflecting reading from digital materials that were conducted with college students (n=100), and the second data set comprised semi-structured interviews with a subset of students sampled from the original pool (n= 8). This study's participants were college students selected randomly from some of the UAE universities. Generally, the results …


Exploring Emirati High School Students' Attitude Towards Reading In L2 (English), Seba Dabik Jun 2024

Exploring Emirati High School Students' Attitude Towards Reading In L2 (English), Seba Dabik

Theses

Reading in a second language (L2) is a crucial skill for high school students as it helps to develop their second language proficiency and broadens their understanding of the world. It also holds substantial significance in both their personal and academic endeavors. Additionally, proficient L2 reading skills pave the way for promising prospects and professional opportunities. This study examines students' attitudes towards reading academically and recreationally in L2 and the factors that contribute to these attitudes. The study sample comprised of 20 grade 11 UAE national male students (16-17 years old) enrolled in a public Applied Technology School (ATS) in …


Relationship Between Parents’ Feeding Styles, Nutrition Practices And Risk Of Obesity Among 3-5 Years Old Children In The United Arab Emirates, Reem Mohamed Alkarbi Jun 2024

Relationship Between Parents’ Feeding Styles, Nutrition Practices And Risk Of Obesity Among 3-5 Years Old Children In The United Arab Emirates, Reem Mohamed Alkarbi

Theses

Previous studies suggest that parental feeding practices shape preschool eating and physical activity habits, ultimately influencing children's weight status. Despite the high obesity rate in UAE youth, preschoolers’ nutrition habits and their links to parental feeding styles are explored. This study aims to describe parental feeding styles: Emotional (E), Instrumental (I), Prompting and Encouragement (PE), Control Over Eating (COE)), and their associations with nutrition practices, socio-demographic factors, and obesity in UAE preschoolers. Using an online questionnaire, a cross-sectional study surveyed Emirati families with 3-5-year-old children. Data was analyzed using SPSS v.29. 70 preschool Emirati children living in Abu Dhabi participated. …


Technology-Enhanced Mathematics Teaching And Learning: Teachers’ Perspectives On Digital And Generative Ai–Enabled Tool Integration Through A Tpack Lens In Abu Dhabi Schools, Abdalrahman A. Adlouni Jun 2024

Technology-Enhanced Mathematics Teaching And Learning: Teachers’ Perspectives On Digital And Generative Ai–Enabled Tool Integration Through A Tpack Lens In Abu Dhabi Schools, Abdalrahman A. Adlouni

Theses

Digital learning is an active approach to education in daily life, and it has been implemented in all the schools in the United Arab Emirates (UAE). Many strategies, such as platforms, online educational websites, and other applications, were used by teachers to support blended learning and assist students in achieving their goals and accomplishing what is required from their curriculum. The main objective of this study is to examine teachers’ perceptions toward teaching mathematics using digital learning tools in Cycle 2 and Cycle 3. Data was collected from (n=114) mathematics teachers in Abu Dhabi City, UAE, during the spring semester …


Design With, Not For, Local Community: Utilizing E- Participation Tools In The Design Of Socially Sustainable Vertical Emirati Public Housing, Omar Sherzad Shareef Jun 2024

Design With, Not For, Local Community: Utilizing E- Participation Tools In The Design Of Socially Sustainable Vertical Emirati Public Housing, Omar Sherzad Shareef

Theses

Few years ago, local and federal governments in the UAE started to design and develop vertical public housing for Emirati residents as a new public housing typology that is believed to be more environmentally sustainable. Dibba Al-Hisn Housing Scheme in Sharjah and Al-Ghurfa Project in Al-Fujairah, are two recently developed vertical Emirati public housing projects developed by Sharjah Housing Directorate and Sheikh Zayed Housing Program (SZHP) respectively. Both projects, have been professionally designed, however, the residents’ opinions were not considered in the design process. Therefore, the main objective of this research is to explore the potentials of utilizing the advanced …


Neural Operator For Accelerating Coronal Magnetic Field Computations In Bifrost Mhd Model, Yutao Du May 2024

Neural Operator For Accelerating Coronal Magnetic Field Computations In Bifrost Mhd Model, Yutao Du

Theses

The application of the Tensorized Fourier Neural Operator (TFNO) to significantly enhance the computational efficiency of coronal magnetic field calculations within the Bifrost Magnetohydrodynamics (MHD) model is introduced in this study. Leveraging simulated data from the European Sunrise Science Data Center, the TFNO? an extension of the Fourier Neural Operator (FNO) that incorporates tensor decomposition for improved handling of high-dimensional data?is employed to solve time-varying partial differential equations (PDEs) over a 3D domain. The performance of the TFNO is compared with traditional machine learning methods, including Vision Transformer and CNN-RNN (encoder-decoder) architectures, to demonstrate its accuracy, computational efficiency, and scalability. …


Marking Estimation In Petri Nets Using Dynamic Mode Decomposition, Aditya Kale May 2024

Marking Estimation In Petri Nets Using Dynamic Mode Decomposition, Aditya Kale

Theses

Petri Nets (PNs) are a well-established framework for modeling and analyzing complex systems with interacting, concurrent processes. This thesis extends traditional Petri Net methodologies by integrating Dynamic Mode Decomposition (DMD), a technique originally developed for fluid dynamics, to analyze Continuous Petri Nets (CPNs). By applying DMD to CPN marking evolution, this research constructs a reduced-order model that captures its dynamics through dynamic modes and eigenvalues, enabling prediction of future markings without detailed knowledge of transition firings or underlying deterministic models. The principal contribution of this research is extending the kit of tools available for analysis of CPN dynamics, providing insights …


The Next Strike: Pioneering Forward-Thinking Attack Techniques With Rowhammer In Dram Technologies, Nakul Kochar May 2024

The Next Strike: Pioneering Forward-Thinking Attack Techniques With Rowhammer In Dram Technologies, Nakul Kochar

Theses

In the realm of DRAM technologies this study investigates RowHammer vulnerabilities in DDR4 DRAM memory across various manufacturers, employing advanced multi-sided fault injection techniques to impose attack strategies directly on physical memory rows. Our novel approach, diverging from traditional victim-focused methods, involves strategically allocating virtual memory rows to their physical counterparts for more potent attacks. These attacks, exploiting the inherent weaknesses in DRAM design, are capable of inducing bit flips in a controlled manner to undermine system integrity. We employed a strategy that compromised system integrity through a nuanced approach of targeting rows situated at a distance of two rows …


Optimizing Social Determinant Of Health Concept Extraction, Niharika Singh May 2024

Optimizing Social Determinant Of Health Concept Extraction, Niharika Singh

Theses

Generative Artificial Intelligence has recently garnered enormous attention for a varied number of reasons, one of them being its capacity to automate complex tasks. As the potential for integrating Generative Artificial Intelligence across technology, media, and healthcare grows, many tasks previously reliant on manual or algorithm-intensive methods can be simplified significantly. One such challenge is concept extraction, which is a labor-intensive process, especially when performed manually for building robust ontologies. It involves analyzing text to identify and extract relevant concepts, key phrases, entities, and relationships between these entities. This thesis explores various challenges of concept extraction from the ABCD (Adolescent …


A Programmable Look-Up Table-Based Processing In Memory Architecture For Massively Parallel, Energy-Efficient Processing Of Data-Intensive Applications Within Dram, Purab Ranjan Sutradhar May 2024

A Programmable Look-Up Table-Based Processing In Memory Architecture For Massively Parallel, Energy-Efficient Processing Of Data-Intensive Applications Within Dram, Purab Ranjan Sutradhar

Theses

As modern computing workloads become increasingly data-intensive, the limitations of traditional digital computing hardware, especially in terms of communication bandwidth between memory and processors, are becoming more apparent. Surprisingly, the performance and energy efficiency of the state-of-the-art are not primarily constrained by the computing power of advanced processing architectures but rather by the low communication bandwidth between the memory and the processor. This challenge necessitates a clever re-architecting of digital computing hardware to make the communication between the processor and the memory more energy-efficient, faster, and capable of supporting significantly higher bandwidth. Memory-centric computing emerges as a novel, alternate computing …


Human-Machine Interactions For Behavioral Health Care, Zhiwei Yu May 2024

Human-Machine Interactions For Behavioral Health Care, Zhiwei Yu

Theses

About one in four American adults (26%) and 20.3% of children aged 8 to 16 years reported behavioral health concerns in 2023. However, a substantial gap remains between demand for behavioral healthcare services and access to such services. In response, research efforts have been made to advance effective and accessible approaches to provide assessments and treatments for populations with behavioral health needs. Yet, two primary challenges exist in current practice and research: 1) self-reports and manual observation-based assessments are subjective and labor-intensive, as evaluations are limited to the availability of clinical professionals; 2) they only target the general experiences but …


Examining Regulatory And Social Process Traits Associated With Experiences Of Shared Decision Making, Megan Kelly May 2024

Examining Regulatory And Social Process Traits Associated With Experiences Of Shared Decision Making, Megan Kelly

Theses

Decision-making is an important part of healthcare. In recent years, providers have started to use shared decision-making (SDM) with consumers, wherein provider and consumer reach a decision together. Personal characteristics common to Attention-Deficit Hyperactivity Disorder (ADHD) and Autism Spectrum Disorder (ASD), such as emotion dysregulation, impulsivity, and difficulties with social communication skills may impact SDM. Self-efficacy was hypothesized to mediate this relationship, as it has been described as an integral aspect of SDM. This study utilized a sample of 141 undergraduate college students. We found that emotion regulation predicted confidence in SDM, as well as differences in how individuals with …


Deep Learning Approach For Detecting And Classifying Chaotic Driving Activity Using Video Surveillance, Fatma Abdulla Desmal Alhaddad May 2024

Deep Learning Approach For Detecting And Classifying Chaotic Driving Activity Using Video Surveillance, Fatma Abdulla Desmal Alhaddad

Theses

The growing rate of urbanization in the city of Dubai has contributed to the increase in vehicular activity and the prevalence of risky driving behavior on the road. This project proposes a deep-learning-based system, VGG-16, for the identification and classification of different patterns of driving behavior. The research methodology used for the study relies on the compilation of datasets from various resources, including ImageNet, Kaggle, UAH-DriverSet, D²-City Dataset, and confidential videos obtained from the Dubai Police command center. The findings of the study will be categorized into two parts. The first part will involve the compilation of the features based …


Using Machine Learning Algorithm For Detecting Distributed Denial Of Service Attack, Zainab Alblooshi May 2024

Using Machine Learning Algorithm For Detecting Distributed Denial Of Service Attack, Zainab Alblooshi

Theses

DDoS attacks, which stand for Distributed Denial of Service attacks, play a significant role in impacting the reliability and availability of online services and networks. Since no system is completely immune to cybersecurity threats, which evolve daily with new techniques, studying this topic is crucial for exploring machine learning methods that can effectively detect DDoS attacks. An approach has been utilized to conduct Exploratory Data Analysis (EDA) to identify patterns suggesting the presence of DDoS attacks. Multiple machine learning models have been employed, such as Random Forest, K-Nearest Neighbors (KNN), XGBoost, and Logistic Regression. These models have undergone training and …


The Future Of Smart Transport Technologies: Examining Dubai's Technological Readiness Levels (Trls) To Adopt New Smart Transport Technologies, Hamad Omran Alshizawi May 2024

The Future Of Smart Transport Technologies: Examining Dubai's Technological Readiness Levels (Trls) To Adopt New Smart Transport Technologies, Hamad Omran Alshizawi

Theses

This research aims to understand what Dubai is willing to do and to provide in terms of smIntelligent Transportation Systems with emphasis on capacity optimization of traffic and understanding TRLs and absorption capacity for AI in Intelligent Transportation Systems Traffic Prediction and Control Systems. The research is important in the context of the concept of a smart city for Dubai and the argument that perfect for the object of examination – transport – can and should integrate new technologies easily into the existing context. Drawing from a population of smart city literature development, traffic and Smart technology, the present study …


A Foresight Study For Sustainable Urban Transport Systems: The Case Of Dubai, Salahuddin Bassem Masadeh May 2024

A Foresight Study For Sustainable Urban Transport Systems: The Case Of Dubai, Salahuddin Bassem Masadeh

Theses

Mainly, this research proposes a future study for sustainable transportation systems in the city and the importance of applying these systems in Dubai to prevent accidents, to make it more sustainable and save more lives. It will identify the practical actions and results of applying these technologies and their social, economic, urban, and environmental effects. These actions will increase the growth of the economy and the quality of life in Dubai City by achieving their transportation sustainability objectives. Another goal of the research is to foster the association between city shareholders, construction companies, government, and traffic officers to apply sustainable …


A Study Of Gate Valve Supply Chain And Life Cycle Impacts, Saud Bindarwish May 2024

A Study Of Gate Valve Supply Chain And Life Cycle Impacts, Saud Bindarwish

Theses

and sustainable water supplies depend on water infrastructure. However, old infrastructure, especially valves that leak and break, can cause significant water loss, economic strain, and environmental damage. This study explores best choice of gate valves to use while replacing defected existing gate valve in the networks by examining gate valve supply chains and their life cycle consequences. Traditional gate valve supply chains are lengthy and complicated. Extracting iron ore and copper destroys habitats and pollutes air and water. Factory processing and production of these materials increases energy use and air/water pollution. Valve shipping, usually overseas, emits lots of greenhouse gases. …