Digital Commons Network^™

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. …

Clonality And Epidemiological Studies Of E. Coli Strain Collected From Abu Dhabi Emirate Using Ngs And Bioinformatic Tools, Ahmed Abdelrahman Mohamed

Theses

In the current landscape, where antibiotic resistance in bacteria is steadily rising, the role of bacterial genomics has assumed increasing significance. Therefore, it is necessary for microbiologists to acquire proficiency in the utilization of these methods and tools to harness their potential in gaining valuable insights into bacterial genomes. This can facilitate the development of innovative strategies for managing and treating bacterial infections. Here we present the power of the whole-genome sequencing technology in characterization of multidrug resistant Escherichia coli isolates. Fourteen Escherichia coli isolates were selected for this study. Following the standard microbiological techniques to confirm the sample identification, …

Topological Indices And Their Applications In Designing Drugs, Fedaa Ismail Abunawa

Theses

This research delves into the use of indices, in the field of drug design with a specific focus on anticancer medications. Topological indices, values derived from representations of chemical structures provide meaningful connections to the physical and chemical characteristics of molecules. These Indices act as tools for predicting behavior playing a vital role in crafting therapeutic drugs. The study primarily delves into topological indices like the Sombor index, Randi´c index, and Atom Bond Connectivity (ABC) index, which are calculated for structures and their relationships with physical properties such as molar volume, refractive index, and flash point are explored using statistical …

Mitochondrial Control Of Tumorigenicity And Immunogenicity Of Colorectal Cancer, Maram Esam Ahmed

Theses

The Methylation-controlled J protein (MCJ), also known as DNAJC15, serves as an endogenous negative regulator of mitochondrial respiration. MCJ plays a crucial role in cellular bioenergetics by regulating cellular metabolism, and its expression is inversely proportional to the extent of mitochondrial ATP production. In the current study, we aimed to investigate the relationship between MCJ expression and the tumorigenicity and immunogenicity of colon adenocarcinoma. To this aim, we utilized MCJ knockout (KO) mice to assess the impact of tumor-extrinsic MCJ expression in host cells, particularly immune cells, on anti-tumor responses. Comparing the growth of MCJ-expressing cancer cells in wild-type vs. …

Studies On The Corrosion Of Bronze Artifacts From Sarouq Al-Hadid And Al-Qusais Archeological Sites In Dubai, Uae, Zainab Ali Salmin

Theses

This thesis compares the status of bronze artefacts from two archaeological sites in Dubai (UAE): the Sarouq Al-Hadid site (Stone Age to Early Islamic Period) and the Al- Qusais site (Late Bronze Age to Early Iron Age). The main objective of this research is to understand the two sites' environment and their influence on the corrosion of archaeological bronze artifacts found at the sites. This study uses mCed methods to comprehensively understand the corrosion behavior of bronze objects, depending on their burial environment. The two different sites presented different soil types and rates of corrosivity on the buried bronze artifacts, …

Diversity, Distribution, And Determinants Of Bacterial Communities In Arctic Soil, Amna Khaleefa Alhemeiri

Theses

Arctic soils host diverse bacterial communities crucial for ecosystem functioning and nutrient cycling. Understanding the factors shaping their diversity and distribution is essential to assess ecosystem responses to climate warming. This study aimed to assess and compare bacterial diversity and community structure between high- and sub-arctic ecosystems and explore the environmental and climatic factors determining their distribution. We collected 16S rRNA gene amplicon sequence data from 999 samples of high- and sub-arctic soils. All the data was pre-processed and quality-controlled using a similar bioinformatics methodology, followed by statistical analyses including alpha and beta diversity assessments, and volatility analysis using QIIME2. …

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 …

Tribological Performance Of Ceramic On Textured Polyethylene Contact For Artificial Hip Implants, Sandhya Vaidyanathan

Theses

Revision total hip arthroplasty (rTHA) is an expensive and surgically risky procedure that is necessary in the case of a failed primary total hip arthroplasty (pTHA). The cause of failure in artificial hip joints is often rooted in the tribological performance of the bearing surfaces such as increased wear and reduced lubrication. Surface texturing is a surface modification technique which has been studied for aerospace and automotive applications and has shown promise in the biomedical field of artificial human joints in the last two decades. Several studies have been done to assess the tribological performance of introducing surface micro-textures as …

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 …

Comparison Of Methods For Creating Populations Of Models By Solving Stochastic Inverse Problems, Elizabeth Epstein

Theses

Given a parametric family of models and observational data, a researcher may be faced with an inverse problem: what distribution of parameters best creates a set of models that produce the observed data? Traditionally, Markov Chain Monte Carlo (MCMC) has commonly been used as a method to solve these stochastic inverse problems. In recent years, however, Generative Adversarial Networks (GANs) have been employed. The effectiveness of Markov Chain Monte Carlo methods as compared to a conditional generative adversarial network (cGAN) when applied to a family of models produced by a system of ordinary differential equations that model viral load over …

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

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 …

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 …

Adaptive Parameter Tuning For Robust Event-Based Slam In Diverse Scenarios, Saber Muawiyah Sakhrieh

Theses

In the ever-changing field of contemporary robotics, Visual Simultaneous Localization and Mapping (V-SLAM) stands as a crucial technology, facilitating navigation and mapping in various environments. While traditional V-SLAM approaches excel in static environments, the need for their adaptation to handle dynamic and realistic scenes is becoming increasingly apparent. This thesis delves into the advancements within the V-SLAM field, with a focus on enhancing its adaptability and performance in dynamic and challenging conditions. Initially, a comprehensive review of V-SLAM methods in the literature is presented in this thesis, offering an in-depth examination of current cutting-edge techniques, their strengths, weaknesses, and prospects …

Unraveling The Role Of Asymmetry In Structural Porous Media On The Growth Of Fluid Fingers, Amir Ibrahim

Theses

Instabilities at fluid-fluid interfaces are ubiquitous in porous media, even at small flow rates. The growth of fluid fingers during fluid-fluid immiscible displacement in a porous medium results in partial saturation of the medium, and inefficiency in displacement has a tremendous economic impact on oil recovery, chemical reactors, and water filtration industries. In this study, we demonstrate that an inherent asymmetry in the structure of a porous medium controls the development of fluid fingers due to instabilities at fluid interfaces. We construct a 2D porous medium consisting of a matrix of triangles using soft lithography to investigate air displacement by …

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 …

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 …

Computational Framework For Parameter Identification In The Nearly Incompressible Linear Elasticity System, Rachel Hawks

Theses

Breast cancer is one of the most common cancers in women and early detection is a key component in the treatment of cancer and can lead to drastic improvement of patient survival rates. Cancerous tissue is stiffer on average than healthy soft tissue, and in the presence of a compressive force, the stiffer areas tend to deform less than the softer areas. The problem being analyzed is based on a linear elasticity system that describes displacement in soft tissue under applied body forces in biomedical applications, specifically in the case of identifying soft tissue cancers. Elasticity imaging, or elastography, can …

A Computational Investigation Into Thermo-Kinetic Parameters Governing The Decomposition Of Bio-Oil Model Compounds, Ali Huseein Aljefri

Theses

Among notable products from thermal degradation of biomass are simple oxygen-containing aromatics. These compounds typically appear in high loads in collected bio-oil derived from biomass. As such, it is important to comprehend the decomposition chemistry of this category of compounds. This thesis takes on board a general approach to report thermo-kinetic parameters that govern decomposition of a selected set of bio-oil model compounds in two distinct systems: firstly radical-derived pathways in the gas phase and secondly thermal degradation in their condensed media. The first is attained through accurate density functional calculations while the second is accomplished through the use of …

Vascular Brain Digital Twins For Medical Training And Education In Metaverse, Shamma Khaled Alghafri

Theses

This study addresses the need for innovative educational tools in the field of anatomy, specifically focusing on brain anatomy. The objective is to develop a virtual reality application and a 3D visualization that offer immersive and interactive learning experiences for students. The VR application, developed using Unity and designed for the Oculus Quest 2 headset, creates an immersive virtual laboratory environment. This environment includes interactive elements such as a table with buttons for displaying brain models and a whiteboard for user interaction. Users can manipulate and explore different brain structures, enhancing their understanding of complex anatomical features. Additionally, we integrated …

Continual Learning For An Ever Evolving And Intelligent Malware Classification System, Mohammad Saidur Rahman

Theses

Malware classification poses unique challenges for continual learning (CL) systems, driven by the daily influx of new samples and the evolving nature of malware threats that exploit new vulnerabilities. Antivirus vendors encounter hundreds of thousands of unique software pieces daily, encompassing both malicious and benign files. Over its operational life, a malware classifier can accumulate more than a billion samples. Training malware classification system with only new samples and classes leads to catastrophic forgetting (CF), where the system forgets previously learned data distribution. While retraining with all old and new samples effectively combats CF, it is computationally expensive and necessitates …

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 …

Neural Network Characterization Methods For Noisy Quantum Hardware Results, Daniel Richard Breslawski

Theses

As the nascent quantum computing paradigm matures and quantum devices become widely available, discrete "eras" are emerging which characterize evolving quantum computing technologies, much like semiconductor technology node classifications. The current period has been coined the Noisy Intermediate-Scale Quantum (NISQ) era, as devices above 50 qubits in size exist but computations using these devices accumulate error quickly from classical interference sources and state decoherence. NISQ machines may surpass the capabilities of modern classical computers in ideal circumstances, but the accumulation of error from physical noise limits the size and implementability of reliable quantum algorithms. Because of these limitations, strategies are …

Investigation On The Synthesis And Characterization Of Novel Phase Change Materials For Packaging Application, Sriram Srinivasan

Theses

Phase change material (PCM) is one of the majorly growing techniques used for thermal heat storage in various fields including construction for insulation and packaging industry. PCMs are widely used to increase the shelf life of the produce and prevent from harsh climatic conditions during transportation. In this present investigation, a PCM system was developed in the form of microcapsules using lauric acid (LA) and capric acid (CA) emulsions in melamine formaldehyde (MF) solution and polyurethane foam (PUF) using polytetrahydrofuran, isoprene diisocyanate, and polyethylene glycol (PEG). Acetic acid and triethylamine were used to control the pH during microcapsule preparation. The …

The Influence Of Woody Cover And An Exploration Of Raptor Density On Northern Bobwhite Survival In Southern Illinois, Blake Baum

Theses

Northern bobwhites (Colinus virginianus) are a culturally and economically significant game bird characteristic of grassland landscapes throughout their range. Despite the variety of research conducted on this species for nearly a century, populations continue to steadily decline, raising concern for future populations and highlighting the need for region-specific research. My research was conducted at Burning Star State Fish and Wildlife Area in northeastern Jackson County, Illinois from 2020-2022. My research addressed the following two objectives to provide insight on the population ecology of bobwhites at this site: (1) investigate the impact of multiple woody cover types within the home ranges …

Occupancy Dynamics Of Wildlife In A Bottomland Hardwood Forest, Jessica L. Esposito

Theses

Land cover conversion has resulted in severe habitat fragmentation, degradation, and loss in bottomland hardwood (BLH) forests throughout the Lower Mississippi Alluvial Valley. BLH forests in southern Illinois are home to diverse wildlife communities, many of which are of conservation concern and utilize BLH habitat year-round or during migration and/or breeding. Efforts in recent years have focused on ecological restoration and reforestation to enhance BLH ecosystem structure, function, diversity, and wildlife-habitat conditions. Due to the complexity of BLH habitat and varied inter- and intra-taxa niches, it is often difficult to develop plans aimed to improve wildlife habitat. However, it is …

An Intelligent Academic Advising System For Course Recommendation Using Large Language Models, Malika Maya Iratni

Theses

Academic advising is an important resource for students, especially in higher education, in order to guide them to make the best possible decisions to improve their overall academic performance and overall academic journey. With the increasing number of students joining these institutions each year, traditional advising becomes a time-consuming and inefficient process that can leave students discouraged, and advisors overwhelmed. Therefore, there is a need to develop intelligent advising systems that make use of the recent advancements in technology, to support the advising process, and increase overall student satisfaction. In this work, an academic advising model that uses Recommender Systems …