Digital Commons Network^™

Visualizing Privately Protected Data: Exploring The Privacy-Utility Trade-Offs, Sarah Hayi Alkaabi

Theses

In a data-driven era, achieving a balance between privacy and utility is crucial. Organizations often utilize data for research, analysis, and enhancement of services, which emphasizes the significance of effective privacy-preserving techniques to protect individuals' privacy and comply with regulations. This equilibrium is vital in data visualization to derive insightful decisions from data representations. The goal is to evaluate the trade-off between privacy preservation and data utility, understanding how differentially private parameters impact effective visualizations. Valuable insights will guide strategies for achieving optimal privacy-preserving visualization techniques. The study aims to investigate the effects on privacy and data utility in different …

The Effect Of Nuciferine On The Renal Dysfunction Following Ischemia/Reperfusion Injury, Sundus Farag Sallabi

Theses

Renal Ischemia-Reperfusion Injury (IRI) is an inevitable consequence of some surgical procedures and clinical conditions such as renal transplantation and aortic cross-clamping. The pathophysiology of renal IRI includes oxidative stress, an aggravated inflammatory response, apoptotic cell death, and fibrogenesis. These pathophysiological processes underlying renal IRI lead to the development of Acute Kidney Injury (AKI). Therefore, there is a need for effective and affordable therapeutic agents, such as phytochemical compounds to mitigate this injury. Nuciferine (NF), is a phytochemical compound extracted from the plant Nelumbo nucifera Gaertn and has been selected for its antioxidant and anti-inflammatory properties as demonstrated in the …

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

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 …

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. …

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) …

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 …

Methodology For Developing Biodegradable Polymer Blends And Composites For Agriculture, Fangzhong Xing

Theses

The use of polyethylene (PE) films to improve soil conditions and to increase crop yield has produced microplastics that are harmful to our ecosystem. The overall objective of this thesis is to develop an effective biodegradable polymer/composite to replace PE, and hence, to reduce microplastic pollution. The focus of this research is to develop a systematic protocol for assessing the suitability of the biodegradable films based on industry standards in agriculture. For this purpose, a range of biodegradable polymer blends are prepared using polylactic acid (PLA) and polybutylene adipate-co-terephthalate (PBAT) with varying PLA to PBAT ratios. Solvent casting combined with …

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 …

Targeted Drug Delivery: Investigating Protein Corona Behavior, Atharva Markale

Theses

Due to high specificity and less toxicity, nanoparticles have become promising for targeted drug delivery against cancer, although they face challenges when they enter the bloodstream, making their behavior unpredictable. The deposition of proteins on nanoparticles, the protein corona, changes their biosignature, affecting their circulation, drug release potency, targeting ability, and immunogenicity. The continuous exchange of protein layers on a nanoscale is complex to analyze.

Nanoparticle tracking analysis (NTA) is a method to characterize nanoparticles in blood plasma by combining principles of light scattering microscopy and Brownian motion. In this work, time-dependent experiments with plasma were conducted to analyze the …

Electrochemical Nitrate Reduction To Ammonia On Cu Based Nanoparticles Using Quantum Mechanical Simulations, Kathan Bhavin Shukla

Theses

Nitrate reduction to ammonia (NRA) is critical for environmental remediation and energy conservation, as it can remove harmful nitrate (NO₃^-) from water sources while producing usable ammonia (NH₃). Cu represents one of the most promising non-noble-metal NRA electrocatalysts. However, the intrinsic catalytic activity of Cu facets and their influence under different pH conditions remain unclear, particularly in the presence of ions commonly found in wastewater such as Cl^-, Na⁺, Mg²⁺, and Ca²⁺. Using density functional theory (DFT) calculations, we evaluated the nitrate reduction to ammonia (NRA) pathways …

Strawberry Nectar Preservation Through Innovative Techniques And Energy Evaluation For High-Pressure Processing, Caterina Scaioli

Theses

Strawberries are universally adored by people of all ages, owing to their richness in vitamins, nutrients, and antioxidants, offering myriad health benefits, including combating free radicals. However, despite their popularity, strawberry juices or nectars are not commonly found in markets due to their delicate structure, which makes them prone to rapid deterioration of their prized qualities and vibrant red color. In the food industry, preventing browning and nutrient deterioration are often the primary challenges faced when processing red juices. Traditional preservation methods, such as pasteurization, are inadequate in maintaining their freshness. The focus of this study is to explore alternative …

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 …

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 …

Machine Learning Models For Enhanced Stock Trading Strategies, Alyaa Al Ali

Theses

The purpose of this research is to develop sophisticated machine-learning models that can predict stock price movements, taking into account the multifaceted influences that create volatility in financial markets. To navigate the complexities of market dynamics effectively, investors, financial institutions, and academia rely on precision stock price predictions. This research generates actionable buy and sell signals by using historical stock data, technical market indicators, Linear Support Vector Machines (LSVM), Neural Networks, and Logistic Regression. A distinctive feature of this model is it uses market indicators such as PPO, MACD, RSI Signal, Bollinger Bands, ROC Signal, and DX Signal instead of …

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 …

Nano Biosensing Platform For Infectious Disease Diagnostics, Li Liu

Theses

CRISPR-Cas enabled biosensors offer great potential to be at the forefront of diagnostic medicine. This thesis focuses on the principles of CRISPR-Cas technology and its application to biosensors and virus diagnostics. It also provides a detailed discussion of the different detection methods available at this stage. The breakthrough achievements of CRISPR biosensors in nucleic acid detection are summarized. The CRISPR-Cas nano biosensors exhibit high accuracy, sensitivity, selectivity, and versatility, offering great potential for next-generation diagnostic and point-of-care devices. The prospects and future trends of CRISPR biosensors are also described. From an engineering perspective, this thesis develops and applies several methods …

Exploring Microplastic Concentrations And The Sedimentology Of San Diego's Offshore Benthic Environments, Rachel Sarner

Theses

Marine pollution studies are showing infiltration of plastic debris in remote parts of oceans including the deep sea. Microplastics (MPs) are being discovered not only in the ocean’s water column but also benthic sediments reaching thousands of meters in depth. This is the first study to analyze MP concentrations in conjunction with sedimentary characteristics from varying deep-sea environments (coastal, deep ocean, offshore terrace) in the Southern California Continental Borderland (CCB). Our goal for this study was to observe how the concentration and type (morphology, color, size) of microplastics varied with distance from shore, with water depth, and between different submarine …

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. …

Smart Technology For Enhancing Indoor Air Quality, Abdulaziz Mohammed

Theses

The COP28 emission reduction plan underscores the imperative of transitioning away from fossil fuels to combat climate change. Concurrently, the rapid adoption of Internet of Things technology has emerged as a transformative force in urban governance, offering cities enhanced resilience and operational frameworks through data analytics and real-time monitoring. In response to these trends, the present research focused on leveraging IoT technology to monitor indoor air quality within a “restaurant A” in an urban area in Dubai. Employing advanced data analytics and smart sensor technologies, particularly LoRa, the project aimed to analyze and monitor air quality parameters. Disposing the sensor …

Exploring The Positive Impact Of Emotionally Designed Furniture On Alleviating Negative Symptoms In Individuals With Complex Post-Traumatic Stress Disorder (C-Ptsd): A Case Study Of Chinese Families Influenced By Traditional Confucian Culture., Guangxin Zhang

Theses

This study aims to explore whether emotionally designed furniture has a positive impact on alleviating negative symptoms in individuals with Complex Post-Traumatic Stress Disorder (C-PTSD). Through a combination of literature review and empirical research, the characteristics of C-PTSD individuals and their common negative symptoms, including anxiety, depression, fatigue, etc., were first reviewed and analyzed. Then, the hypothesis of the positive impact of emotionally designed furniture on individuals with C-PTSD was proposed. The study further explores how emotionally designed furniture enhances environmental comfort and fosters emotional connections in personal spaces to provide psychological support and alleviate symptoms in individuals with C-PTSD. …

Anthropogenic Impacts Lead To Plant Biodiversity Losses In A Unique And Fragile Coastal Dune Ecosystem, Natalie Clagett

Theses

At the southern end of the California Floristic Province lie the El Socorro Dunes. These Dunes have the highest biodiversity of any dune system in Mexico, hosting at least 11 perennial endemic and rare plant species. The El Socorro Dunes’ perennial vegetation was surveyed between 2008 to 2010, but since then these dunes have faced pressure from regional land transformations, such as off-roading and mining, invasive species spread, and climate change. This study examines the plant community changes within the El Socorro Dunes and potential links to stressors. Our results show significant losses of native plants, and significant increases in …

Emotional First Aid Kit Design, Wenxi Qi

Theses

In contemporary society, the shift towards holistic well-being has highlighted the critical importance of emotional health in maintaining overall quality of life. Research indicates that emotional health issues now pose a greater threat to individual well-being and productivity than physical ailments. Despite this, there exists a significant gap in awareness and emphasis between physical and emotional health across various sectors, contributing significantly to the prevalence of mental health issues. This research paper introduces the "Emotional First Aid Kit," a novel design concept aimed at addressing emotional distress in everyday scenarios similar to conventional first aid kits managing physical injuries. The …

Improving Design And Physical Boundary In Temporary Post-Disaster Relief Shelters: Analysis Of Existing Literature, Min-Hye Jang

Theses

Natural disasters such as floods, hurricanes, cyclones, storms, earthquakes, wildfires, and landslides displace people. As responses at the community resilience level, the temporary post-relief shelter is critical for the community's rapid recovery. Converting existing public facilities is the fastest way to respond to a crisis. However, the Hurricane Katrina Superdome Shelter alerted society to the prevalence of sexual assault in transitory catastrophe contexts. Not only has sexual abuse occurred, but prior shelters did not equip every user with physical barriers to suit their needs. This study examined academic journals, articles, and books to identify issues with natural disaster shelters created …

Syn: Exploring Multi-Sensory Sound Experiences Through An Immersive Installation, Samara Sudhir

Theses

The project titled 'SYN.' is a thesis that explores the realm of multi-sensory experiences in visual communication by taking inspiration from synesthesia. Synesthesia is a phenomenon where sensory information is transmitted through multiple unrelated senses, causing individuals to experience more than one sense simultaneously, such as seeing music and hearing color/shapes. The project aims to create an immersive and interactive installation that evokes a feeling of being inside the music by blurring the boundaries between auditory and visual stimuli. Through meticulous mapping and projection of visuals onto various surfaces, a three-dimensional space is created where participants can interact and alter …

Pawssenger--Enhance The Experience Of Flying With Pets, Xinxin Li

Theses

As demand for long-distance air travel with pets surges, airlines must adapt by enhancing accommodations for safe, comfortable, and sustainable pet transport over extended periods. This paper presents a proposed, innovative, comprehensive approach to redesigning airplane cabin and cargo spaces to create a more pet-friendly, eco-conscious experience for travelers on long-haul flights with animal companions. A key innovation needed for pets accompanying owners in the cabin on lengthy journeys is seamlessly integrating lightweight, modular pet carriers into passenger seating units. These redesigned carriers prioritize ventilation, comfort, and easy access to food/water during extended travel. They eliminate cumbersome separate pet carriers …

Predicting Health Insurance Claim Costs: A Data-Driven Approach Using Machine Learning, Fatema Khela

Theses

Determining appropriate premiums for policyholders is a challenge faced by the healthcare insurance industry. Policyholders' judgments about their healthcare are negatively impacted by the growing difficulty in accurately predicting claim amounts. To overcome this difficulty, our study used data-driven methods to project the cost of health insurance claims. Claim expenses are influenced by several criteria, including claim costs, agе, gеndеr, wеight, BMI, numbеr of dеpеndеnts, smoking habits, blood prеssurе, diabеtеs, еxеrcisе routinеs, occupation, city of rеsidеncе, and hеrеditary disеasеs. The primary aim of this research is to dеvеlop prеdictivе modеls that can accuratеly еstimatе thе cost of health insurancе claims …

Continuous Mobile Authentication Protocol For Iot Based Environment Supporting User Behavioural Profile, Saleem Emad Saleem Abdo

Theses

As the Internet of Things (IoT) ecosystem continues to spread, many researchers are addressing the need for robust and lightweight authentication mechanisms for both continuous and mobile IoT devices. However, the main issue that many face is the lack of a consensus on the definitions of both continuous and mobile IoT authentication. This thesis aims to investigate the diverse definitions and approaches surrounding continuous and mobile IoT authentication. We delve into the evolving landscape of authentication methods, protocols, and security measures tailored for IoT devices that operate in dynamic and mobile environments. A comprehensive survey navigates through the multifaceted dimensions …

Revitalizing The Rochester Gorge Strategic Urban Site Planning To Enhance Water Quality In The Lower Genesee River, Stephen Adam Stoker

Theses

The project began with investigating a regional asset of interest: the Genesee River. Initial research into this area revealed that the river suffers from poor water quality. The causes and effects of poor water quality were explored, and it was determined that excess nutrients – namely phosphorus – play a critical role in the water quality of the Genesee River and present downstream risk at the river’s point of outflow in Lake Ontario. An examination of peer-reviewed literature, contemporary examples in the built environment where similar water quality issues were addressed, and existing watershed design frameworks were conducted to understand …

Defect Detection Of Photovoltaic Panels By Image Processing, Hamad Almarzooqi

Theses

A key component of the transition towards cleaner and more sustainable power sources, driven by the global demand for such energy, has been the fast improvement in the installation of solar photovoltaic (PV) plants. Ensuring the dependability of photovoltaic panels becomes crucially important when solar installations develop in scale. Photovoltaic panels have flaws that reduce their effectiveness and shorten their lifespan, but they are durable and long-lasting otherwise. Solar plants need to work as efficiently as possible with low downtime and to want solar energy to be viable in the long run, the issues shall be fined a fixed promptly. …