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Articles 661 - 690 of 10591
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Cultivation Of Food And Fodder Crop Millets And Quinoa In The Aquaponics System For Sustainable Food Security In The United Arab Emirates, Salama Yousef Al Khoori
Cultivation Of Food And Fodder Crop Millets And Quinoa In The Aquaponics System For Sustainable Food Security In The United Arab Emirates, Salama Yousef Al Khoori
Theses
Aquaponics is a sustainable food production technology that integrates aquaculture with hydroponics. This study aimed to evaluate the possible impact of an aquaponics system on the cultivation of pearl millet, finger millet, and quinoa, utilizing water from tilapia aquaculture. The duration of the experiment is six months utilizing the manually constructed backyard aquaponics system. Tilapia fish serves as the principal biological material for nutrient generation in the experiment. This study investigated and recorded water quality indicators, including pH, temperature, dissolved oxygen, electrical conductivity, total dissolved solids, ammonia, nitrite, and nitrate levels over the experimental period. The parameters of fish growth, …
Practices And Perceptions Of Uae Residents: Food Safety In Handling And Preparation Of Fish, Consumption, And Nutrition From Fish, Noof Ahmad Al Marzooqi
Practices And Perceptions Of Uae Residents: Food Safety In Handling And Preparation Of Fish, Consumption, And Nutrition From Fish, Noof Ahmad Al Marzooqi
Theses
Background: UAE is uniquely located with an extensive seafront, which has led to the development of fishing and fisheries in the country. As a result, the UAE's diverse population has become one of the highest fish consumers among the Gulf countries. The high fish consumption in the UAE was a part of the traditional diet; however, a better understanding of UAE residents' practices and perceptions of fish food safety, fish preparation, and nutrition from fish consumption was needed. Objective: This study investigates food safety practices in handling and preparation of fish, consumption trends, and perceptions of nutrition from fish among …
Patient Specific Tissue Emulating Phantoms For Image-Guided Intervention Applications, Kelly Merrell
Patient Specific Tissue Emulating Phantoms For Image-Guided Intervention Applications, Kelly Merrell
Theses
Patient specific organ and tissue mimicking phantoms are used routinely to develop and assess new image-guided intervention tools and techniques in laboratory settings, enabling scientists to maintain acceptable anatomical relevance, while avoiding animal studies when the developed technology is still in its infancy. Gelatin phantoms, specifically, offer a cost-effective and readily available alternative to the traditional manufacturing of anatomical phantoms, and also provide the necessary versatility to mimic various stiffness properties specific to various organs or tissues. In the first part of this thesis, we describe the protocol to develop patient specific anthropomorphic gelatin phantoms of different organs and we …
A Novel Approach To Predicting Particle Deposition In A Human Lung Using A Lumped, Oscillatory Respiratory Model, Jordana E. O'Brien
A Novel Approach To Predicting Particle Deposition In A Human Lung Using A Lumped, Oscillatory Respiratory Model, Jordana E. O'Brien
Theses
Inhalation has become widely accepted as the optimal drug delivery mechanism for respiratory diseases, which often requires targeting a particular region of the lung. Mathematical models are key to under- standing the factors that influence drug transport and deposition in the lung. This study proposes a simple zero-dimensional typical path model that couples oscillatory breathing mechanics and particle deposition over multiple breathing cycles. Lung regions are lumped into compartments, and respiration is modeled using a circuit analog framework to capture airflows, lung pressures, and volumes in each lumped region. Particle transport and deposition are modeled by a mass-balance equation in …
Oxidative Stress Responses In Arabidopsis Thaliana Plants To Uv-B Irradiation, Bolaji Olalere
Oxidative Stress Responses In Arabidopsis Thaliana Plants To Uv-B Irradiation, Bolaji Olalere
Theses
The depletion of the stratospheric ozone layer has led to increased levels of harmful UV-B radiation reaching the Earth's surface, posing significant challenges for plant health and development. This study investigates the oxidative stress responses in Arabidopsis thaliana when exposed to UV-B irradiation. Arabidopsis thaliana, a well-established model organism, is particularly sensitive to UV-B, making it ideal for understanding the effects of UV-B-induced oxidative stress. UV-B radiation, a mutagenic component of sunlight, disrupts key metabolic, molecular, and developmental processes, leading to DNA damage, impaired metabolism, and morphological changes. This research aims to explore how UV-B exposure affects the activities of …
The Effects Of Cannabinoids On Migration-Related Protein Expression In Ewing’S Sarcoma, Allison Lashall
The Effects Of Cannabinoids On Migration-Related Protein Expression In Ewing’S Sarcoma, Allison Lashall
Theses
Ewing’s sarcoma is an aggressive pediatric bone cancer that has low five-year survival rates, primarily due to metastatic disease and resistance of recurring tumors to traditional treatment options; therefore, novel treatment options are needed. The compound cannabidiol (CBD) has been shown to reduce cell viability, migration, and invasion in several tumor types, though the cellular mechanism of action is not well understood. Our lab has demonstrated the ability of CBD to reduce viability, migration, and invasion of Ewing’s sarcoma cells in vitro and is investigating differential protein and cytokine expression of known mediators of migration, such as intercellular adhesion molecule …
Writing A Course Guide “Fashion Design: A Guide To The Apparel Industry”, Rosemary P. Durfee
Writing A Course Guide “Fashion Design: A Guide To The Apparel Industry”, Rosemary P. Durfee
Theses
This project focuses on improving course materials for the author, among others, to use as a teaching resource for undergraduate apparel design students. The primary focus is to compile information from various resources and industry knowledge gained first-hand by the author. This project aims to create a course guide that can easily integrate with current Fashion Design and Merchandising courses taught at the college level.
Digital Marketing And Consumer Consumption Of Breast-Pumps On Social Media, Leanne Clark
Digital Marketing And Consumer Consumption Of Breast-Pumps On Social Media, Leanne Clark
Theses
A breast pump brassiere, designed to provide hands free experience for the mother when collecting mother's milk, and which integrates various operative components in the category of a micro pump, at least one suction cup, and a milk reservoir, preferably within each cup, to provide for hands free collection of expressed milk, as desired and required by the mother for use in the feeding of her infant.
Performance Evaluation Of Ai-Based Healthcare Systems In The United Arab Emirates: A Comparative Analysis Of Diagnostic Accuracy And Predictive Capability Using Spss, Hamad Ismail
Theses
This research investigates the opinions and experiences of United Arab Emirates (UAE) healthcare personnel on artificial intelligence (AI)-based technology. Successful application and integration depend on a knowledge of the viewpoints of people at the front-line of patient care as artificial intelligence technology progressively enter healthcare contexts. Combining advanced statistical analysis with quantitative questionnaires using a mixed-methods approach, the study presents a whole picture of artificial intelligence opinions across several healthcare environments and UAE geographical areas. The study revealed a topography of opinions on artificial intelligence in the healthcare sector that is complicated. Though views varied widely based on their employment, …
The Use Of Puffed Rice Biomaterial As An Insulation Layer: Characterization And Simulation Study, Nicolas Monje Mejia
The Use Of Puffed Rice Biomaterial As An Insulation Layer: Characterization And Simulation Study, Nicolas Monje Mejia
Theses
Upon close examination in this study, the feasibility of utilizing puffed rice as an insulation layer for construction is explored. Regions that are warm and receive direct sunlight experience heightened temperatures, which can lead to structures trapping excessive heat, resulting in increased cooling demands, energy consumption, and higher costs all around. As revealed via findings from research conducted over time, puffed rice showcases immense prospects when employed as insulation considering its high level of percolation coupled with low thermal conductivity rates. Conversely, conventional materials tend to have better-quality properties like greater compressive strength than what one sees here, along with …
Data Ownership And Control: Ethical Perspectives In The Digital Age, Roya Ebadi
Data Ownership And Control: Ethical Perspectives In The Digital Age, Roya Ebadi
Theses
The rapid advancement of machine learning (ML) technologies has significantly impacted various sectors, with healthcare standing out as a prominent area for transformation. Machine learning holds the potential to revolutionize healthcare, particularly in the areas of diagnosis, treatment plans, drug development, and personalized medicine. However, with the growing integration of ML into healthcare systems, ethical concerns regarding data privacy, security, and fairness have emerged, requiring comprehensive governance frameworks to ensure the responsible use of these technologies. This research investigates the ethical considerations associated with the application of machine learning in healthcare, focusing on data governance practices that are crucial for …
Predicting Consumer Churn In Telecommunications, Amna Yousef Almatrooshi
Predicting Consumer Churn In Telecommunications, Amna Yousef Almatrooshi
Theses
The telecommunications industry is highly competitive, with consumer churn being a significant concern due to market saturation. Churn, or customer attrition, refers to customers leaving a service provider due to dissatisfaction or better offers from competitors. This phenomenon is particularly impactful in the telecom sector, where retaining customers is more cost-effective than acquiring new ones. To address this issue, telecom companies increasingly rely on machine learning techniques to predict customer churn and implement strategies to retain at-risk customers. The study highlights the importance of understanding the factors contributing to customer churn, including service quality, pricing, customer service interactions, and competition. …
Navigating The Job Landscape: Insights From Linkedin Through Npl, Mohammed Alsallal Alfalasi
Navigating The Job Landscape: Insights From Linkedin Through Npl, Mohammed Alsallal Alfalasi
Theses
This study uses NLP to examine the relationships between skills needed, wage trends, and job attributes in over 33,000 LinkedIn job posts. NLP enabled us to analyze a large dataset and gain deeper insights into the employment market. We obtained and cleansed the data ethically to guarantee that it was accurate for NLP analysis. This investigation included techniques such as keyword extraction and sentiment analysis to uncover important talents, job market attitudes, and industry trends. We also examined pay trends to better comprehend the market's economic aspects. By merging NLP and machine learning, this study offers a novel methodological framework …
Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji
Assessing The Effectiveness Of Law Enforcement Strategies In Combating E-Crime Using Ai, Mohammad Ahmad Alkhazraji
Theses
The rise of e-crime, particularly international online scams, has presented significant challenges to law enforcement agencies around the world. Scams have become transnational, exploiting the internet's interconnectivity to deceive victims from different countries. Law enforcement agencies have a severe uphill battle in trying to combat these types of crimes because of technological and jurisdictional limitations and resource accessibility. This research has analyzed the effectiveness of current policing against international online scams, focusing on the challenges encountered thus far and possible solutions. The critical research objectives revolve around assessing law enforcement agencies' present strategies, identifying the main barriers that these agencies …
Chemometric Processing Of Ecstasy Tablet Thermal Profiles Using Machine Learning Methods, Ali Arif Ibrahim
Chemometric Processing Of Ecstasy Tablet Thermal Profiles Using Machine Learning Methods, Ali Arif Ibrahim
Theses
Ecstasy is an amphetamine-type substance scientifically known as MDMA (3,4- methylenedioxymethamphetamine) that belongs to a group of illicit drugs called “club drugs” that are widespread and distributed illegally (Maione et al., 2016). Its ever-growing popularity and variety in multiple forms, shapes, and colors complicates the identification and tracking process to law enforcement and forensic analysts. The current study focused on integrating data analytics and advanced chemometric methods to Differential Scanning Calorimetry (DSC) to analyze the thermal profiles of ecstasy tablets. This approach aims to discriminate between tablets linked to different suspects and origins through thermal profiling, which will provide law …
Exploring Ngc 2287: An Investigation Of Open Cluster Membership, Rotation, And A Curiously Bifurcated Main Sequence, Benjamin J. Ramsey
Exploring Ngc 2287: An Investigation Of Open Cluster Membership, Rotation, And A Curiously Bifurcated Main Sequence, Benjamin J. Ramsey
Theses
The study of stellar clusters is integral to our understanding of many areas of astrophysics because of the role they play as astrophysical benchmarks. Thanks to shared characteristics (in particular, age and chemical composition) of their members, open star clusters represent essential subjects to address contemporary problems in stellar structure, formation, and evolution. The rich open cluster NGC 2287 (the Little Beehive) is young (age~200 Myr), relatively nearby (D~735 pc), and suffers little intervening extinction, making it ripe for further study. The cluster is particularly noteworthy for displaying a rotationally bifurcated upper main sequence. We are investigating the membership and …
Analyzing Crime Patterns Through Artificial Intelligence, Rashid Khalid Mohamed Abdalla Alhammadi
Analyzing Crime Patterns Through Artificial Intelligence, Rashid Khalid Mohamed Abdalla Alhammadi
Theses
This paper examines how crime patterns affect predictive policing in Denver, Colorado. Modern crimes like cybercrime and identity theft have challenged traditional crime research methods, necessitating data-driven ones. In this context, the study examines how machine learning and AI can identify and forecast crime trends across neighborhoods, timeframes, and other aspects. The research sought to understand crime's dynamics and socioeconomic effects. The study collected data using a mixed-method approach based on questions about crime kinds, rates, and sociodemographic characteristics. A large chunk of the data came from public databases and targeted neighborhood surveys. Regression analysis, decision trees, and neural network …
Scattering Spectroscopy Of Granular Media For Remote Sensing Applications, Chris H. Lee
Scattering Spectroscopy Of Granular Media For Remote Sensing Applications, Chris H. Lee
Theses
The reflectance of a surface depends not only on the physical characteristics of the medium, but also on the geometry of how the surface is illuminated and viewed. Remote sensing data of a surface at multiple illumination and/or viewing angles can provide additional information that we can use to retrieve the physical properties of the surface and/or underlying medium as opposed to remotely sensed data at a single geometry. In this work, I characterized different aspects of angular reflectance, or scattering, spectroscopy of granular media for remote sensing applications. I applied polarimetry to various samples of olivine sand as a …
Integration Of Blockchain And Machine Learning For Robust Intrusion Detection In Iot Network, Saeed Al Banna
Integration Of Blockchain And Machine Learning For Robust Intrusion Detection In Iot Network, Saeed Al Banna
Theses
This thesis explores the integration of blockchain technology and machine learning techniques to enhance cybersecurity in IoT networks. An intrusion detection system (IDS) framework is proposed, leveraging the decentralized, immutable, and transparent features of blockchain with the predictive capabilities of machine learning. The study utilizes the CICIoT2023 dataset, which has 33 diverse attack types on 105 devices, to evaluate five machine learning models: Random Forest, MLP, CNN, and RNN and a Hybrid RF/MLP Model. The Random Forest and MLP models demonstrated superior performance across multi-class, grouped, and binary classification tasks. Blockchain technology is integrated to securely log detected anomalies, to …
Creation Story Motifs As Expressions Of Identity And Resiliency In The Visual Culture Of Kahnawà:Ke, Jana Ondrechen Hallford
Creation Story Motifs As Expressions Of Identity And Resiliency In The Visual Culture Of Kahnawà:Ke, Jana Ondrechen Hallford
Theses
Kahnawa:ke is a First Nations reserve near Montreal in Quebec, Canada, with a rich history of creative expression. This is a Kanienʼkehá꞉ka (Mohawk) community, a part of the Haudenosaunee (Iroquois) Confederacy, a prominent First Peoples group of the Northeast Woodlands. Like many other Indigenous communities, Kahnawa:ke is in the process of revitalizing and renormalizing their culture after centuries of assimilation efforts and pressures to separate them from their traditions. Their creation story, known as the Sky Woman Epoch, is foundational to this culture. While there are a number of creation symbols, this study will focus on the Sky Dome, a …
Predictive Modeling Of Sociodemographic And Self-Construct Factors Affecting Math Performance In Secondary Education, Shaikha Ahmed Alaleeli
Predictive Modeling Of Sociodemographic And Self-Construct Factors Affecting Math Performance In Secondary Education, Shaikha Ahmed Alaleeli
Theses
Math is a prime subject because of its transferability to other fields of learning and its applications in daily and professional life. As a result, most countries and educational institutions focus on improving math performance, however student grades vary due to personal, familial, and institutional factors. Thus, the present study seeks to build a predictive model of sociodemographic and self-construct factors affecting math performance and identify which ones are the most impactful on student grades. The specific objectives are (1) to determine the association between student/family and school sociodemographic characteristics and math performance; (2) to the influence of student self-construct …
Flight Preparations And Data Reduction For The Third Flight Of The Cosmic Infrared Background Experiment-2, Kazuma Noda
Flight Preparations And Data Reduction For The Third Flight Of The Cosmic Infrared Background Experiment-2, Kazuma Noda
Theses
The extragalactic background light (EBL) at infrared (IR) wavelengths contains information about the stars that lived during the epoch of reionization, which was the first era of star formation that occurred a few hundred of Myr after the Big Bang. Anisotropy measurements of the IR EBL by CIBER-1, Spitzer, and AKARI have shown that the amplitude of its surface brightness fluctuations exceeds what is expected from known galaxy populations. Potential sources of this excess include stars during the epoch of reionization, intra-halo light (IHL) from low-mass stars stripped from their parent galaxies, and the decay products of dark matter candidate …
Gallbladder, Raiven Gibbons
Gallbladder, Raiven Gibbons
Theses
Gallbladder is a triptych feature screenplay focusing on a woman’s search for the meaning of life, death, and their function in between, titled “Time.” The feature explores themes of home, desire, lust, family, romance, codependency, independency, work life, and responsibilities, while finding a reason to laugh in an absurdist world. Each segment is inspired by my personal experiences working within the healthcare system. It was written between September 2023-August 2024 including pre-production and post-production of the live action proof of concept short and the full feature script. This paper describes and analyzes the screenwriting process for Raiven Gibbons, writer and …
Reduction Of Crimes In Dubai With The Use Of Artificial Intelligence, Ahmad Saeed Abdulrahim
Reduction Of Crimes In Dubai With The Use Of Artificial Intelligence, Ahmad Saeed Abdulrahim
Theses
This dissertation examines the potential of Artificial Intelligence (AI) to enhance crime reduction efforts by the Dubai Police. As Dubai continues to grow and new technologies emerge, integrating AI into Dubai Police represents a significant opportunity to improve operational efficiency, predictive policing, and data-driven investigations. However, this integration also raises critical ethical and privacy concerns that must be addressed to ensure responsible use. The rapid development of AI technologies offers promising solutions for modernizing crime prevention and Dubai Police strategies. Dubai, with its advanced technological infrastructure and forward-looking governance, is an ideal context for exploring these innovations. The effective use …
Structural Determination Of The Nudix Hydrolase Rv2985, A Potential Antibiotic Target In Mycobacterium Tuberculosis, Aidan Lynch
Structural Determination Of The Nudix Hydrolase Rv2985, A Potential Antibiotic Target In Mycobacterium Tuberculosis, Aidan Lynch
Theses
M. tuberculosis contains around a dozen potential Nudix hydrolases, and we are characterizing several of these enzymes as potential novel antibiotic targets. The diadenosine polyphosphatases (ApnAases) / mRNA decapping enzymes are a family of enzymes within the Nudix hydrolase superfamily. In M. tuberculosis there is a primary Nudix ApnAase and a secondary Nudix ApnAase. The diadenosine polyphosphatases from Legionella pneumophilia and Bartonella bacilliformis have been found to be important in each pathogen's ability to invade human host cells. We are interested in whether these enzymes act in the same way in M. tuberculosis. If they are found to be involved …
A Dual-Core Risc-V Processor With A Two-Level Programmable Cache Emulation And Test System, Marcus Figorito
A Dual-Core Risc-V Processor With A Two-Level Programmable Cache Emulation And Test System, Marcus Figorito
Theses
The Compiler Lease of Cache Memory (CLAM) project has previously explored the effects of lease-based replacement policies for benchmarks (programs) run on single-core with single-level and single-core with two-level cache architectural config- urations. This work builds and expands on this prior work by continuing the same line of inquiry for a dual-core with two-level cache architectural configuration. The lease-based replacement policies studied are: Compiler Assigned Reference Leasing (CARL), Phased Reference Leasing (PRL), Scope Hooked Eviction Leasing (SHEL), and Cross-Scope Hooked Eviction Leasing (C-SHEL). These are compared to the per- formance of the traditional Pseudo Least Recently Used (PLRU) replacement policy. …
Christmas Eve, Lingxiao Fan
Christmas Eve, Lingxiao Fan
Theses
Christmas Eve is a 3D animated graduate thesis film in length of 3 minutes. It is a story about a young Santa Claus who keeps getting distracted by everything around her and procrastinates from doing her job - preparing gifts for kids. The main character, Santa Claus No.077, who lives in the North Pole Village, has the whole year to prepare gifts for children. However, due to her procrastination, one year has passed and she hasn’t finished her job preparing the gifts on Christmas Eve. Noticing the big day for Santa Clauses is taking place today while reading the newspaper, …
Exploring Human Perception In Machining Monitoring, Rui Bob Yang
Exploring Human Perception In Machining Monitoring, Rui Bob Yang
Theses
Monitoring CNC machining processes ensures the satisfaction of dimensional tolerances and surface finish requirements, while minimizing tool wear and downtime caused by accidents. Sensor-based automated monitoring systems driven by Artificial Intelligence (AI) trained on extensive datasets have demonstrated high accuracy and consistency in monitoring tool wear progression. However, the performance of AI-driven monitoring systems heavily relies on the available training data, often struggling with scenarios not covered in training, such as variations in tool path, feed rate, and machine models. In contrast, experienced machinists excel in monitoring machining operations across diverse tool paths, machining parameters, and machine tool models, often …
Plastic Abundance And Degradation In The Anaerobic Digestion Of Food Waste, Abbey Whitney
Plastic Abundance And Degradation In The Anaerobic Digestion Of Food Waste, Abbey Whitney
Theses
Food waste (FW) is a pervasive issue across the supply chain, with an estimated 30-40% of the food supply left unsold or uneaten annually (ReFED, 2022). In response, in 2015 the U.S. set a goal to halve FW by 2030 (U.S. EPA, 2020f). Valorization, the process of recovering value from FW, has become a key strategy, with anaerobic digestion (AD) playing a pivotal role. AD transforms organic waste into biogas and digestate, a potential soil amendment. However, plastic contamination in the organic waste stream poses a significant challenge. During digestion and storage, plastic debris can break down into microplastics (MP), …
Event Sensor Simulator With Hardware Accelerated Ray Tracer And Image Space Photon Mapping, Chengyi Ma
Event Sensor Simulator With Hardware Accelerated Ray Tracer And Image Space Photon Mapping, Chengyi Ma
Theses
In this study, we present an advanced event sensor simulator leveraging NVIDIA OptiX to address and overcome the limitations of existing event sensor simulators. Our simulator demonstrates significant improvements in both processing speed and temporal resolution compared to traditional methods such as v2e. These advancements are achieved by programming a real-time ray tracer with asynchronous event pixels using Nvidia OptiX’s sophisticated motion system, which provides hardware motion interpolation on GPU threads. This enables sampling dynamic scenes to generate a series of events independent from frame rates. Additionally, we introduce an image space photon mapping method utilizing OptiX for enhanced global …