Digital Commons Network^™

An Evolutionary Comparative Study Of Congenital Stationary Night Blindness-Associated Trpm1 Genetic Variants Of Uncertain Significance In Horses And Humans Utilizing Caenorhabditis Elegans, Gabrielle Davis

Theses

Congenital stationary night blindness (CSNB) is a heterogeneous collection of genetic diseases affecting the eyes and vision in horses and humans. Current research has implicated several genetic mutations impacting different genes involved in phototransduction and signal transmission, including TRPM1. In horses, genetic mutations in TRPM1 also result in a leopard spotting pattern or leopard complex. The goal of this study is to examine the potential impact of CSNB associated TRPM1 missense variants of uncertain significance (VUS). Previous research in Caenorhabditis elegans have revealed an orthologous TRPM1 gene known as gon-2 that allows for comparative studies. The evolutionary relationship of …

Diffractive Light And Solar Sails, Prateek Ranjan Srivastava

Theses

In the realm of space exploration, humanity has achieved remarkable feats like landing humans on the moon. However, our progress in venturing beyond our solar system has been limited. Light sails, which utilize photon momentum from laser or solar radiation, o↵er a promising propulsion technology. Unlike traditional rockets, light sails carry no fuel and can achieve high velocities and precise orbital maneuvers. In this research, we propose using an elementary space variant di↵ractive film to design passively stable light sails propelled by laser radiation. We also explore applying this concept to solar sails, enabling spiral trajectories and high orbital inclination …

Being Authentic On Social Media With Generation Z, Soyombo-Erdene Ariunbold

Theses

This paper discusses the evolving landscape of social media and the significance of authenticity on social media platforms for Generation Z. It emphasizes the rise of social media platforms, shedding light on their authenticity and the profound influence they have on users' mental well-being. The paper also highlights the necessity for content creators and brands to adapt by incorporating more unpolished content on social media platforms.

The final deliverable will include a detailed survey analysis of the content authenticity on BeReal application. The findings of this study will offer valuable insights into the increasing demand for authenticity on social media …

The Implications Of Venus In The Interwar Oeuvre Of James Guy, Emily Cooper

Theses

American Social Surrealist James Guy was a Communist proletarian artist who created works of art that depicted the social inequities he witnessed and experienced during the Great Depression. As a working-class artist, Guy painted images of daily life with recognizable and accessible iconography that allowed his fellow manual laborers to relate to the depicted scene. Guy distorted commonplace experiences through the filter of Surrealism to create absurd, illogical, and nightmarish environments to critique contemporary society. Guy worked to spark the realization of the viewer that they were subjected to the same injustices as the figures in his paintings. In this …

موقف القانون الإماراتي من الصياغة النموذجية للعقود, سعيد علي الدرعي

Theses

Standard form contracts are widely used in various economic transactions, which contributes to a convenient and time saving method to create agreements that are compatible with contractual terms. The importance of this study is that when the consumer wants to obtain a good or service, the seller will offer him a standard form contract to sign, and this consumer may be forced to enter into this contract to satisfy his needs, even if this good or service is not one of the basics for society as a whole, but it is necessary for him as an individual.

Additionally, this study …

Enhancing User Learning Experience Of A New Therapeutic Approach For Scleroderma Using Vr, Joanne Park

Theses

The transient receptor potential cation 6 (TRPC6) channel is an integral membrane protein that alters the intracellular calcium (Ca2+) concentration and is also responsible for a variety of tissue expression, physiological functions and channel properties (Ong et al., 2016). Recently, researchers at RIT have discovered a new therapeutic approach for scleroderma, also known as skin fibrosis, that involves the inhibition of the TRPC6 channel. To help spread awareness of their research and to enhance the user learning experience, an interactive virtual reality (IVR) experience was created, as well as supplemental 3D animations, that will be available through the researcher’s website. …

A Study On How Twitch Streaming Can Impact The Success Of A Game, Nadine Kassassir

Theses

The aim of this project is to assess the variables that impact the success of a video game taken as a function of prizepool earnings awarded in tournaments. With the rise of streaming platforms like Twitch the reach for esports and online gaming has dramatically increased. After analyzing two datasets found on Kaggle, and performing linear regression on a newly created dataset, no relationship between viewership and earnings can be established. Irrespective of this, the increasing trend of earnings and viewership can be observed in both the datasets and online publications and statistics. This indicates the possibility of an existing …

Novel Investigation Of Catalytic Hydrogenation And Oxidation Of 1,3-Butadiene, Ali M. Alabedkhalil

Theses

The hydrogenation of 1,3 Butadiene (BD) is an important industrial process that is generally used to generate butene, which is a key feedstock to produce a variety of chemicals such as polymers, plastic, and synthetic rubber. This process involves reacting BD with hydrogen using different metallic Ni-based catalysts. In this study, Ni/Al₂O₃ and Ni/Nb₂O5 catalysts were used and investigated to perform the hydrogenation reaction because of their commercial availability, effective hydrogenation activity, and affordability compared to Platinum Group Metal (PGM) catalysts.

The catalytic reactions were conducted using a quartz tube reactor between a temperature range …

Establishing A Scootability Index To Prioritise Road And Footway Infrastructure Improvements For Smooth And Safe E-Scooter Usage, Nadia Jalal Maksoud

Theses

The intensifying use of electric scooters as a form of transportation calls for new infrastructure assessment methods to improve the smoothness and safety of facilities in which these devices are ridden. Despite the extensive research on the infrastructure requirements of bicycles, there is a dearth of studies on electric scooters. This study aims to define the main infrastructure requirements for electric scooters in an urban context. A mixed-methods approach is employed combining quantitative and qualitative data collection and regression analysis. To provide a basis for a so-called multi-dimensional “scootability” index that covers all aspects pertaining to the safety and smoothness …

The Impact Of User-Generated Content On Consumer Purchase Intention, Alyssa Anderson

Theses

This project investigates how various forms of user-generated content impacts consumer purchasing decisions. Primary and secondary research is executed for a broader understanding of UGC implications on modern consumers. The final deliverable is a website that offers an in-depth analysis of the culture of creators and how the dynamic has shifted in recent years. Additionally, UGC cases are studied to determine the impact they have on consumers, and guides are offered to director brands on how ensure consistency and alignment with their brand identity and implement UGC into their marketing strategy.

The Evolution Of The Nba’S Culture, Trey Jones

Theses

This project focuses on the National Basketball Association’s dress code problems from 2004-2005 to the 2022-2023 NBA season. Highlighting how a predominantly black athletes' association, run by white men, changed in multiple ways to respect the fashion and culture of its community over this 20-year period. The community that was most represented on the court, and those who support the league at home. Doing so through the influence of the media, player opinions, race, fashion, time, and executives. Showcasing how a prominent business, such as the NBA, can change it its brand to be acceptable and successful.

Understanding The Intracellular Positive Regulatory Interactions In The Metabolic Network, Sultana Mohammed Al Zubaidi

Theses

Metabolism is an essential cellular process that produces essential components such as energy molecules and cellular building blocks. It is regulated by intracellular metabolite-enzyme interactions, which can increase or decrease enzyme efficiency. Each metabolic process is not evolved in nature and may not contribute to the optimal efficiency of the organism's metabolism. However, this study aims to clarify the relationship between cellular positive regulatory interactions and the cell's metabolic network, especially how these relationships regulate metabolism and how it evolved in nature. To obtain that, for each enzyme, the activation molecules from the BRENDA database were downloaded, mapped data to …

Screening And Genomic Characterization Of Multi-Drug Resistant (Mdr) Bacteria From Hospital Wastewater, Showq Abdelaziz Abdelaziz

Theses

Antimicrobial resistance poses an imminent global threat to public health, with multidrug-resistant (MDR) bacteria being particularly worrisome due to their resistance to multiple antibiotics. Hospital wastewater has been identified as a potential source of MDR bacteria and antibiotic-resistant genes (ARGs). This study aimed to investigate MDR bacteria's prevalence, diversity, and genomic potential in hospital wastewater samples collected from three different hospitals in the UAE. Samples were processed for culturing antibiotic-resistant bacteria using different HiCrome™ chromogenic media to screen for ESBL-producing, Vancomycin, Carbapenem, colistin, and Methicillin-resistant bacteria. The isolates were characterized using VITEk2 antibiotic profiling and identified using 16S rRNA sequencing …

A Computational Study Of Adsorptive Desulfurization In Metal Organic Frameworks, Kyle Concha

Theses

Fossil fuel usage has been related to several concerns about the environment and human health. One of these concerns is related to fuels containing Organic Sulfur Compounds (OSCs) which upon burning produce hazardous compounds such as SO₂ which contributes to acid rain and affects respiratory health. Removal of these OSCs is an important field of study as it can prevent the production of SO_x compounds. One technique to remove OSCs is Adsorptive Desulfurization (ADS) in which Metal Organic Frameworks (MOFs) are potential candidates to be used as adsorbents. Two archetypal MOFs, HKUST-1 and Cu₃HHTP₂, …

The Role Of Trees In Reducing The Urban Heat Island Effect On The New Jersey Institute Of Technology Campus, Newark, Nj, Dahlia Mansour

Theses

Every year, an estimated 12.3 million tons of glass are generated in the United States. Of all glass generated, only 3.1 million tons are recycled. Despite the near endless recyclability of glass waste, recycling rates in the United States remain low. This is primarily due to the lack of color separation and presence of non-recyclable materials associated with single-stream curbside collection used in many municipalities throughout the country. These factors make recycled glass unusable for many glass bottle manufacturers, causing the majority of glass placed in a recycling bin to eventually be landfilled. The purpose of this research is to …

The Effects Of Antecedent And Consequence Strategies On Data Collection In A Human Service Organization, Sarah Love, Robbie Hanson

Theses

Antecedent and consequence strategies in the research literature to improve employee performance within human service organizations have included behavioral skills training (BST) and performance-based incentive programs, among others. The current study continued this line of research in which participants were members of a human service organization and were responsible for collecting data on clients’ responding during programming. The purpose was to evaluate the effects of antecedent and consequence-based strategies on the accuracy of data collected by participants. The results showed that BST was effective at increasing accurate data collection across all participants and that the consequence-based intervention, in the form …

Increasing Independence With The Picture Exchange Communication System (Pecs) For An Adult With Developmental And Intellectual Disabilities, Jessica Moore, Robbie Hanson

Theses

Numerous studies have evaluated the effectiveness of the Picture Exchange Communication System (PECS) among children diagnosed with autism spectrum disorder (ASD; Rosales & Marin-Avelino, 2022). However, there remains limited research that indicates the same effectiveness for adults (Rosales & Marin-Avelino, 2022). The purpose of the current study was to examine the use of Phase I of PECS to increase communication with an adult with ASD and developmental disabilities. Prior to intervention, the participant independently exchanged picture icons 0% of opportunities. Following intervention, the participant reached mastery criterion for independently exchanging picture icons across preferred items. Additional data showed that the …

Comparing Teaching Methods For Auditory-Visual Conditional Discrimination, Brady Conley, Robbie Hanson

Theses

Responding to spoken language is a skill that is typically acquired at a young age. However, responding to spoken language requires discrimination between stimuli. Many individuals with autism spectrum disorder (ASD) have demonstrated difficulty acquiring listener behavior involving conditional discrimination. Thus, the most efficient and effective teaching strategies should continue to be a focus in behavior-analytic research. The purpose of the current study was to compare teaching methods for conditional discrimination for three school-aged children with ASD. The results showed that one participant met criterion for the best practice condition only, one participant met criterion for both best practice and …

The Impact Of Leadership Behavior On Employee Engagement: A Qualitative Study, Torie M. Bonnet

Theses

Employee engagement has been shown by previous researchers to improve the quality of work that is produced. Previous researchers have focused on how various leadership styles impact engagement. Researchers have revealed that the concepts of structural empowerment, authentic leadership, transformational leadership, and leader-empowering behavior have positively impacted employees' levels of engagement. The knowledge gap includes what behaviors lead to improved employee engagement, resulting in an upbeat team climate and decreased intention to leave a position. This study was designed to glean knowledge from experienced nurse managers regarding employee engagement and understand what skills could be taught to novice managers to …

Emergent Properties Of Cells And Tissues In Health And Disease, Pancy T. Lwin

Theses

This dissertation uses statistical physics based mathematical models to investigate and predict the emergent properties of biological systems in both healthy and diseased states. Three projects are presented, each exploring a different aspect of biological systems. The first project focuses on modeling cartilage-like tissue systems as a double network consisting of two interconnected networks. By using rigidity percolation theory, we study the tunable mechanics and fracture resistance of such biological tissues in healthy and degraded states. Our findings show that the secondary network density can be tuned to facilitate stress relaxation, leading to robust tissue properties when the primary network …

Early Detection Of Autism Spectrum Disorder (Asd) Using Machine Learning Techniques, Mahra Musabbah Bin Beyat Alfalasi

Theses

ASD is a neurological disorder that affects over 1 in 44 chilren and this rate has increased. The diagnosis process can be timely and costly. This will make it difficult for the patients to adhere to the prescribed treatments and will hinder the progress of the patient. This project is focused on increasing the efficiency of this diagnosis process through machine learning techniques. The proposed datasets are; ASD Screening Data for Adult, ASD screening Data for Children and ASD Screening Data for Adolescent. These datasets are a categorical, continuous, and binary data type. They have 21 common attributes and a …

Shipment Containers Tracking Optimization Using Machine Learning, Omran Al-Ali

Theses

The container tracking data is crucial for the effective management of supply chains. In

this report, we analyze container tracking data to identify areas for improvement in supply chain operations. Our study aims to provide insights into the factors affecting container movements,

identify areas where delays and bottlenecks occur, and suggest ways to optimize operations. The supply chain is a complex system involving multiple parties, including shippers,

freight forwarders, carriers, ports, and customs agencies. The timely delivery of goods is critical for maintaining customer satisfaction and reducing costs. Therefore, it is essential to have a robust tracking system that enables …

Study To Improve The Employee Experiences And Reducing The Employee Attrition, Mahra Essa Mohammed Belarai Alfalasi

Theses

Employee attrition is a significant issue that occurs in every company today, regardless of external environment changes. According to the definition of attrition, the number of employees gradually decreases due to retirement, death, and resignations (Marais, 2022). Attrition can occur when a well-trained and well-adjusted talented person leaves the company for any reason, leaving a gap in the workplace (BasuMallick, 2021). It is extremely difficult for HR employees to fill the gap that has been created. For today's managers, minimizing turnover rates is a major concern, and modern HR managers do this in several ways, the employee's decision was motivated …

Customised Investment Optimization Using Genetic Algorithms, Maythaa Al Ali, Shaikha Al Dossari

Theses

Portfolio selection is an important part of fund management as it contributes to investors’ economic growth. Investing is investing money to obtain an additional or specific advantage over money. Investment involves not only profit (return), but also risk that the investor bears. The higher the return an investor expects, the higher the risk the investor takes. Proper portfolio construction can minimize the level of risk to the expected value of an individual stock portfolio. Equity portfolio optimization, therefore, plays an important role in setting an investor’s investment portfolio strategy. In recent decades, there have been great advances in financial mathematics. …

The Effect Of Demographic Imbalance On Crime, Maher Bhadri

Theses

This study investigates demographic imbalance on crimes in the UAE by analyzing a record of crimes from 2020 to 2022 using descriptive and inferential statistics. The findings reveal gender, marital status, and age imbalance among crime offenders in the UAE. Males, married individuals, and individuals in their 30s are more prevalent in committing crimes. Certain countries, accused individuals, and certain types of crimes are also more frequent in the UAE. Policymakers and law enforcement agencies can use these insights to develop targeted interventions to reduce crime rates in the country. Future studies should investigate the underlying causes of these imbalances …

Dubai Emirate Land Price Prediction Using Analytics And Machine Learning, Shaikha Ali Mohsin Alattar Alhashmi

Theses

The Dubai Emirate is a burgeoning and vibrant region that has gained significant attention in the real estate industry due to its rapid development. With an increase in demand for land, the region has experienced a substantial surge in land prices. Therefore, precise land price prediction has become paramount for real estate investors, developers, and government officials. The purpose of this study was to employ analytics and machine learning techniques to accurately forecast land prices in the Dubai Emirate.

The study employed a dataset that included influencing factors such as, location, amenities, infrastructure, size, and other variables that affect land …

What The Wildflowers Tell Us, Madelyn Lohman

Theses

When good pictures come to us, we hope they tell a truth we can relate to. Truths about love, beauty, and death. What The Wildflowers Tell Us is a photographic series that conjures up intimate memories of my life during the past twenty years. Photography is an endless source of memory. These exhibition images open doors to the past and into the future. We catch a glimpse of the beauty and the dark side of things; the forest, the wilted peony, and the ashes. Beauty somehow tinges itself with sadness. Why do we need to hold what we love close …

Towards A Reliable Machine Learning-Based Model Designed For Translating Sign Language Videos To Text, Maitha Essa Mohammad Ahli

Theses

Communication serves key roles in building relationships through sharing feelings, passing information, and connecting with others. Communication among the hearing impaired remains a significant stumbling block in today’s society since their communication means demands for an interpreter each moment. Various researchers agree that successful communication calls for the involvement of all individuals in a conversation and thus, deaf and hearing-impaired people require precise and welcoming communication to promote their working and learning relationships. Sign Language Recognition (SLR) is a critical and auspicious approach to promoting communication among hearing-impaired people. Sign languages greatly benefit from Machine Learning based translation techniques since …

Augmented Reality Shopping Guide: Enhancing Efficiency And Experience, Shengyang Luo

Theses

Shopping is important in our life, especially food shopping. Almost every family needs to go shopping once per week and spend lots of time and energy on it. This project proposes the design of an application to help people have a better shopping experience by saving time, saving energy, and saving money. The application combines online shopping and in-person shopping in a new shopping mode. People don’t need to pay the expensive delivery fee and wait a long time to get food which could be unfresh. And they also don’t need to spend lots of time at the supermarket, which …

Efficiently Annotating Source Code Identifiers Using A Scalable Part Of Speech Tagger, Gavin Burris

Theses

This thesis details the process in which a part-of-speech tagger is developed in order to determine grammar patterns in source code identifiers. These grammar patterns are used to aid in the proper naming of identifiers in order to improve reader comprehension. This tagger is a continuation of an effort of a previous Ensemble Tagger [62], but with a focus on increasing the tagging rate while maintaining the accuracy, in order to make the tagger scalable. The Scalable Tagger will be trained on open source data sets, with a machine learning model and training features that are chosen to best suit …