Digital Commons Network^™

Enhancing Cybersecurity Awareness In The United Arab Emirates: An Assessment Of Current Practices And The Development Of An Ai-Enhanced Mobile Application, Meera Humaid Alalawi

Theses

In today's interconnected world, individuals, private corporations, public institutions, and governments face increasingly sophisticated cyber threats and attacks, highlighting the critical need for individuals and organizations to understand cybersecurity comprehensively. Cyberattacks have affected many countries and infrastructures in different sectors worldwide, including the United Arab Emirates (UAE), which has become a main target for cybercrime due to its booming economy and tourism. The UAE considers cybersecurity an increasingly critical issue in our digital world, and increasing cybersecurity awareness among residents is essential to protect themselves and their organizations from cyberattacks. The primary objectives of this study are to identify key …

Improving Early Design Processes With The Use Of Bim And Vr Technologies In The Gcc Construction Industry, Mohamed Wahid Mohamed

Theses

The early stages of construction projects play a crucial role in determining the outcome of the entire project life cycle. However, conventional early design practices have been facing significant challenges and limitations in recent times. These challenges include a lack of coordination among various disciplines, communication gaps, and poor decision-making. Unfortunately, these challenges often lead to increased costs, project delays, and change orders. To tackle these challenges, it is essential to adopt the latest technological advancements in the construction industry. This is especially important given the complexity of modern construction projects and the rapid construction growth. One of the most …

Mapping And Analyzing Urban Growth In The Abu Dhabi Metropolitan Using Geospatial Technologies Integrated With Machine Learning, Hamsa Mohamed Yusuf

Theses

Urbanization is happening at a rate twice the increase in population on a worldwide scale. This has great environmental and social impacts, along with large impacts on regional climate and one of the reasons for this is the ever-continuous change of land use and land cover. The availability of high-resolution satellite imagery in addition to the advancements in geospatial technology allow mapping of LULC changes to be done accurately, efficiently and covering wide areas. This thesis studies the urban Land Use and Land Cover Change (LULCC) that happened in Abu Dhabi city for the last 3 decades by utilizing geospatial …

School Leadership For The Practice Of Inclusive Education In Elementary Schools In The United Arab Emirates, Aysha Saeed Al Nuaimi

Dissertations

The number of students with disabilities in regular classrooms is increasing. In 2020, the United Arab Emirates (UAE) introduced a new policy with the goal of promoting inclusive education in all public schools. Although the UAE government is committed to the education of children with disabilities, the role of school leaders is vital to the successful implementation of inclusive education in schools. While school leaders have been found to be the main agents in steering inclusive practices, their contribution to practices in schools in the UAE context remains empirically unresearched. The objective of this study was to explore elementary school …

Cybersecurity Education And Continuous Learning Towards Uae Ncsp Fulfilment, Saleh Hamad Aldaajeh

Dissertations

This dissertation delves into enhancing cybersecurity education by aligning academic curricula with national cybersecurity strategic plan (NCSP) objectives, emphasizing the crucial role of Higher Education Institutions (HEIs) in developing a skilled cybersecurity workforce. Analyzing ten NCSPs, it identifies strategic themes and gaps between national goals and HEI offerings. The study reviews NCSP guidelines, international cybersecurity indices, and literature, including the NICE-NIST framework, to develop a framework that bridges the educational gap, improving learning outcomes and arming students with vital skills, knowledge, and competencies. Furthermore, it introduces a platform for continuous cybersecurity learning, employing micro-credentials, blockchain technology, and AI-driven systems. Based …

An Intelligent Framework Towards Fully Autonomous Driving Fueled By Smart Roads, Muhammad Jalal Khan

Dissertations

Autonomous Vehicles (AVs) are transforming next-generation autonomous mobility. These vehicles promise to increase road safety, improve traffic efficiency, reduce vehicle emissions, and enhance overall mobility. They achieve higher levels of Autonomous Driving (AD) by integrating sensors, communication technologies, computation, and Artificial Intelligence (AI). Apart from these advancements, significant gaps remain in integrating heterogeneous technologies and disciplines essential for optimizing AD. Therefore, the current solution approaches lack the capability to exploit intelligent road infrastructures and effectively orchestrate perceptual services for complex driving scenarios. The main objective of this dissertation is to address these challenges by proposing a novel end-to-end intelligent framework …

On The Projections And Unitary Groups Of Unital C*-Algebras, Fouzia Shaheen

Dissertations

H. Dye proved that the unitary group in a factor determines the algebraic type of that factor. Al-Rawashdeh, Booth and Giordano established that, for a large class of simple unital C*-algebras, an isomorphism between the unitary groups induces an isomorphism between their K₀-ordered group and 1-groups. Then using the results of Dadarlat-Elliot-Gong and Kirchberg-Phillips, the C*-algebras are isomorphic. Dye introduced special projections P_i,j (a) of the matrix algebra M_n(A), and he used it as a main tool to establish his results in the case of von Neumann factors. Precisely, in case of von Neumann algebra, …

Investigating Parental Roles In Developing Preschool-Aged Children’S Emergent Literacy In English, Their Second Language, Through Storybook Reading In A Sample Of Kuwaiti Homes, Fajr M. Alkouz

Dissertations

Using a convergent mixed methods design, this study explored home emergent literacy environments actualized by six mothers of young preschool-aged children living in Kuwait. It investigated the role of these Kuwaiti mothers in developing their bilingual preschool-aged children’s print knowledge, oral language, and phonological awareness, as three areas associated with Emergent Literacy (EL). In particular, the study explored the influence of parental storybook reading on the development of bilingual children’s EL skills in English, their Second Language (L2). Employing purposive sampling, this case study obtained statistical quantitative results from parents who responded to a questionnaire about their home literacy experiences …

Synthesis And Structure-Property Relationships Of Sustainable Nanostructured Materials Towards Energy And Environment Applications, Nizamudeen Cherupurakal

Dissertations

This doctoral research aims to advance clean energy technologies by developing specialized nanostructured materials. The study covers significant research themes, each forming separate sections in the thesis, explaining the important role of nanostructures in enhancing the efficiency and sustainability of energy devices and photocatalytic technologies.

The enduring effort toward stabilizing and improving the efficiency of Dye-Sensitized Solar Cells (DSSCs) has stirred the solar research community to follow innovative approaches. The primary objective of the research is centered on electrode materials design, which improves photoanodes' Light-Harvesting Efficiency (LHE). To improve the Photoanode of DSSCs, a Metal-Organic Framework (MOF) derived porous photoanodes …

Transforming Fermentation Residues From Date Fruit Pomace For The Synthesis Of Bioadsorbent Material In An Integrated Biorefinery Framework, Sabeera Haris

Dissertations

In the pursuit of enhanced waste management solutions, this comprehensive research delves into the untapped potential of Date Fruit Pomace (DFP), an abundant byproduct from the date syrup industry that is currently underutilized, leading to environmental concerns. The study emphasizes the need for proper waste management and valorization strategies to mitigate the environmental impact of DFP and promote sustainability within the date processing industry. The initial phase involves characterizing DFP from Emirati varieties, highlighting its compositional and functional properties. The analysis reveals that DFP is rich in total dietary fiber (45.5%), residual sugars (35.3%), protein (10.6%), ash (4.1%), and fat …

Formate Dehydrogenase Immobilized On Metal Organic Framework For Enhanced Conversion Of Co2 To Formate, Shadeera Rouf

Dissertations

Enzymatic hydrogenation of carbon dioxide (CO₂) to formate by formate dehydrogenase (FDH) is a promising technology for reducing CO₂ concentrations in an environmentally friendly manner. For practical and economical implementation of the process, however, enhanced reusability of the enzyme is essential, which requires easy separation from the reaction mixture, coupled with sustained stability. One way to achieve this is by using the enzyme in an immobilized form. In this work, the effectiveness of using different metal organic frameworks (MOFs) as promising alternative supports for FDH immobilization has been assessed. A highly stable zirconium-based MOF, UiO66 and its …

Enhancing Health Analytics: Secure And Private Federated Learning Solutions, Nisha Thorakkattu Madathil

Dissertations

Federated Learning (FL) is a collaborative method allowing individuals to train a model jointly without sharing their local datasets. It utilizes decentralized data sources to protect privacy, making it particularly promising in medical contexts where data confidentiality is paramount. FL facilitates the use of diverse datasets from various healthcare organizations while upholding patient confidentiality. It also plays a crucial role in advancing medical research and healthcare services while adhering to data distribution and compliance requirements. The primary challenges within federated healthcare encompass privacy preservation among sensitive distributed data, ensuring efficient communication, addressing data heterogeneity, and ultimately guaranteeing model accuracy. To …

Satellite-Based Spatial And Temporal Characterization Of Rainfall Over The Uae, Yassin Ibrahim Ahmad

Theses

Studies on rainfall characteristics have been of particular interest in the arid and semi-arid regions, including the United Arab Emirates (UAE), due to its impact on the built and natural environment. Rainfall represents a vital water source and a potential threat to the built environment, particularly during flash rainfall. This thesis evaluates spatial and temporal variation of rainfall in the UAE. The UAE is classified into four ecosystems with a distinct distribution of precipitation (East Coast, Mountains, the Gravel Plains, and Desert Foreland). Satellite data on daily rainfall for the years starting from 2001 up to 2020 was obtained from …

Prevalence And Risk Factors Of Hikikomori In Young Adults In The Middle East, Harshil Paresh Shah

Theses

Hikikomori, a form of severe social withdrawal that can occur without the presence of any other psychological disorder, was once thought to be a Japanese culture-bound phenomena. However, studies have emerged from several parts of the world showing that this may be a global issue. Extant literature suggests associations between hikikomori and behavioral addictions such as gaming addiction and Problematic Social Media Use (PSMU). Since there is a relative paucity of research examining this phenomenon in the Middle Eastern context, this study aimed to determine the prevalence and risk factors of hikikomori in young adults of the Middle East. It …

Investigating The Magnetic Cycle Of The Planet-Hosting Star Hd189733, Mohammad Samih Raja

Theses

HD189733 is a planet-hosting star, harboring a hot Jupiter situated at approximately 8.8 stellar radii. This system is among the most studied systems for stellar magnetism, Star-Planet Interactions, and exoplanetary atmospheric studies. The largescale magnetic field of the star exhibits variability on relatively short timescales, however, no magnetic field cycle, including polarity flips, has been observed to date. This absence of cycle detection could be due to observational gaps between observing campaigns.

This thesis aims to explore the variability of the activity of HD189733 by conducting a homogeneous analysis of several publicly available datasets, obtained using several spectrographs/telescopes, spanning 18 …

Pea And Hemp Protein-Polyphenol Complexes For Improved Curcumin Delivery Via Emulsion System, Muhammed Suhail Ashraf

Theses

This study focuses on producing and characterizing protein-polyphenol complexes derived from pea and hemp proteins, paired with a variety of polyphenols including 2,4-Dihydroxybenzoic acid, Ferulic acid, and Rutin. The complexes were characterized using various techniques: UV-visible spectroscopy, fluorescence spectroscopy, total phenolic content analysis, and radical scavenging activities. Further, oil-in-water emulsions stabilised using these protein-polyphenol complexes and starch were explored as delivery systems for curcumin respectively. The formation of complexes was revealed by UV-visible spectroscopy, which indicated significant changes in the spectra of hemp and pea proteins upon complexation with polyphenols. The findings from UV-visible spectroscopy were supported by data from …

Toward An Ethical Human-Computer Division Of Labor In Law Practice, Abdi Aidid

Fordham Law Review

In this Essay, I explain that responsible and ethical use of AI in law practice requires reconceptualizing the lawyer’s professional relationship to technology. The current commercial-industrial relationship is based on a stylized model of technology as mechanical application, not calibrated to emergent AI-enabled technologies. Put differently, lawyers cannot interact with AI-enabled technologies the way that they traditionally interact with, say, word processors. For AI-enabled technologies, I explain that a “division of labor” framework is more fruitful; like horizontal professional relationships between peers or vertical ones in professional hierarchies, lawyers ought to interact with sophisticated technologies through arrangements that optimize for …

Of Another Mind: Ai And The Attachment Of Human Ethical Obligations, Katherine B. Forrest

Fordham Law Review

We are entering a new world. A world in which we humans will be confronted with our intellectual limitations as we watch the evolution of artificial intelligence (AI) that we have created meet and exceed our capabilities. I have a few predictions about this—based first on how technology changes occur, with a layer of how human nature reacts to those changes.

My first prediction is that we may not initially recognize AI’s actual capabilities. We will find ways of describing what AI can do as somehow mimicry—the advances of a stochastic parrot, perhaps; we will not want to recognize our …

National Security And Federalizing Data Privacy Infrastructure For Ai Governance, Margaret Hu, Eliott Behar, Davi Ottenheimer

Fordham Law Review

This Essay contends that data infrastructure, when implemented on a national scale, can transform the way we conceptualize artificial intelligence (AI) governance. AI governance is often viewed as necessary for a wide range of strategic goals, including national security. It is widely understood that allowing AI and generative AI to remain self-regulated by the U.S. AI industry poses significant national security risks. Data infrastructure and AI oversight can assist in multiple goals, including: maintaining data privacy and data integrity; increasing cybersecurity; and guarding against information warfare threats. This Essay concludes that conceptualizing data infrastructure as a form of critical infrastructure …

The Legal Imitation Game: Generative Ai’S Incompatibility With Clinical Legal Education, Jake Karr, Jason Schultz

Fordham Law Review

In this Essay, we briefly describe key aspects of [generative artificial intelligence] that are particularly relevant to, and raise particular risks for, its potential use by lawyers and law students. We then identify three foundational goals of clinical legal education that provide useful frameworks for evaluating technological tools like GenAI: (1) practice readiness, (2) justice readiness, and (3) client-centered lawyering. First is “practice readiness,” which is about ensuring that students have the baseline abilities, knowledge, and skills to practice law upon graduation. Second is “justice readiness,” a concept proposed by Professor Jane Aiken, which is about teaching law students to …

Ai, Algorithms, And Awful Humans, Daniel J. Solove, Hideyuki Matsumi

Fordham Law Review

A profound shift is occurring in the way many decisions are made, with machines taking greater roles in the decision-making process. Two arguments are often advanced to justify the increasing use of automation and algorithms in decisions. The “Awful Human Argument” asserts that human decision-making is often awful and that machines can decide better than humans. Another argument, the “Better Together Argument,” posits that machines can augment and improve human decision-making. These arguments exert a powerful influence on law and policy.

In this Essay, we contend that in the context of making decisions about humans, these arguments are far too …

Fairness And Fair Use In Generative Ai, Matthew Sag

Fordham Law Review

Although we are still a long way from the science fiction version of “artificial general intelligence” that thinks, feels, and refuses to “open the pod bay doors,” recent advances in machine learning and artificial intelligence (AI) have captured the public’s imagination and lawmakers’ interest. We now have large language models (LLMs) that can pass the bar exam, carry on (what passes for) a conversation about almost any topic, create new music, and create new visual art. These artifacts are often indistinguishable from their human-authored counterparts and yet can be produced at a speed and scale surpassing human ability.

“Generative AI” …

Chatgpt, Large Language Models, And Law, Harry Surden

Fordham Law Review

This Essay explores Artificial Intelligence (AI) Large Language Models (LLMs) like ChatGPT/GPT-4, detailing the advances and challenges in applying AI to law. It first explains how these AI technologies work at an understandable level. It then examines the significant evolution of LLMs since 2022 and their improved capabilities in understanding and generating complex documents, such as legal texts. Finally, this Essay discusses the limitations of these technologies, offering a balanced view of their potential role in legal work.

If We Could Talk To The Animals, How Should We Discuss Their Legal Rights?, Andrew W. Torrance, Bill Tomlinson

Fordham Law Review

The intricate tapestry of animal communication has long fascinated humanity, with the sophisticated linguistics of cetaceans holding a special place of intrigue due to the cetaceans’ significant brain size and apparent intelligence. This Essay explores the legal implications of the recent advancements in artificial intelligence (AI), specifically machine learning and neural networks, that have made significant strides in deciphering sperm whale (Physeter macrocephalus) communication. We view the ability of a being to communicate as one—but not the only—potential pathway to qualify for legal rights. As such, we investigate the possibility that the ability to communicate should trigger legal …

The First Religious Charter School: A Viable Option For School Choice Or Prohibited Under The State Action Doctrine And Religion Clauses?, Julia Clementi

Fordham Law Review

After the First Amendment’s Religion Clauses were ratified, church and state became increasingly divorced from one another, as practicing religion became a private activity on which the government could not encroach. This separation, however, was slow, and much credit is owed to the U.S. Supreme Court for its efforts to disentangle the two. One particular area in which the Supreme Court exercised its influence was the U.S. education system; the Court invoked the Religion Clauses and neutrality principles to rid public schools of religious influences and ensure that private religious schools could partake in government programs that were available to …

Long-Range Analogizing After Bruen: How To Resolve The Circuit Split On The Federal Felon-In-Possession Ban, Sean Phillips

Fordham Law Review

In 2023, over the course of one week, two U.S. courts of appeals ruled on Second Amendment challenges to 18 U.S.C. § 922(g)(1), the federal statute prohibiting firearm possession for those convicted of felonies. Both courts applied the U.S. Supreme Court’s “history and tradition” test from New York State Rifle & Pistol Ass’n v. Bruen. In the U.S. Court of Appeals for the Eighth Circuit, criminal defendant Edell Jackson did not succeed. There, the court found that the nation’s history and tradition supported the validity of a law banning firearm possession by felons, regardless of the details of their …

Seamark: Phase Ii Study Of First-Line Encorafenib And Cetuximab Plus Pembrolizumab For Msi-H/Dmmr Brafv600e-Mutant Mcrc, Elena Elez, Scott Kopetz, Josep Tabernero, Tanios Bekaii-Saab, Julien Taieb, Takayuki Yoshino, Gulam Manji, Kathrine Fernandez, Antonello Abbattista, Xiaosong Zhang, Van K Morris

Faculty, Staff and Student Publications

Patients with both BRAF V600E mutations and microsatellite instability-high (MSI-H)/mismatch repair-deficient (dMMR) metastatic colorectal cancer (mCRC) have poor prognosis. Currently, there are no specifically targeted first-line treatment options indicated for patients with mCRC whose tumors harbor both molecular aberrations. Pembrolizumab is a checkpoint inhibitor approved for the treatment of MSI-H/dMMR mCRC, and the BRAF inhibitor encorafenib, in combination with cetuximab, is approved for previously treated BRAF V600E-mutant mCRC. Combination of pembrolizumab with encorafenib and cetuximab may synergistically enhance antitumor activity in patients with BRAF V600E-mutant, MSI-H/dMMR mCRC. SEAMARK is a randomized phase II study comparing the efficacy of the combination …

Surface Ocean Biogeochemistry And Deep Ocean Circulation Control Relationships Between Nutrient-Type Trace Metals (Cd, Ni, Cu, And Zn) And Nutrients In The South Atlantic Ocean Near The Subtropical Front, Xue Gang Chen, Martha Gledhill, Maeve C. Lohan, Angela Milne, Eric P. Achterberg

School of Geography, Earth and Environmental Sciences

The ocean region along the latitude of 40°S in the South Atlantic, characterized by enhanced primary productivity, forms a transition zone between the nutrient replete but iron depleted Southern Ocean, and the nitrate and iron depleted Subtropical Gyre. Here, we present distributions of nutrient-type dissolved and particulate trace metals (dTMs and pTMs) including cadmium (Cd), nickel (Ni), copper (Cu), and zinc (Zn) in the South Atlantic from the GEOTRACES GA10 cruises. Phytoplankton uptake, riverine and atmospheric inputs shaped dTM and pTM concentrations in surface waters (dCd 27.8 ± 36.0 pmol kg⁻¹, n = 222; dCu 0.732 ± 0.429 …

Modelling Pyroclastic Density Currents Of The April 2021 La Soufrière St. Vincent Eruption: From Rapid Invasion Maps To Field-Constrained Numerical Simulations, Valentin Gueugneau, Sylvain Charbonnier, Victoria L. Miller, Paul Cole, Raphaël Grandin, Edna W. Dualeh

School of Geography, Earth and Environmental Sciences

The April 2021 La Soufrière of St Vincent eruption generated several pyroclastic density currents (PDCs) during the 2 weeks of the crisis, from 9 to 22 April. To support the hazard assessment team during this eruption, numerical simulations were performed in real time and generated rapid scenario-based PDC invasion maps with the two-phase version of the code VolcFlow, which was able to simulate both the concentrated and dilute regime of PDCs. To generate the maps, only the source properties (shape and location) and the initial volume used to generate the PDCs were varied, all other input parameters were kept constant …

Evaluation Of Modulus Of Elasticity Of Concrete Containing Both Natural And Recycled Concrete Aggregates, Zaiwei Li, Long Yuan Li, Shanshan Cheng

School of Engineering, Computing and Mathematics

There is growing requirement to use recycled aggregate in concrete to demote industrial wastes produced by construction sectors. Thus, to develop simple but meaningful formulations to assess the mechanical properties of concrete, when it is mixed with both natural and recycled aggregates, becomes essential. In the present study an analytical approach to calculate the elastic modulus of concrete containing both natural and recycled concrete aggregates is proposed. The approach is developed on the concept of effective medium approximation but considering the effect of Poisson's ratio. Two analytical formulas are derived. One is for the two-phase concrete (mortar and aggregate) that …