Digital Commons Network^™

The Potent And Selective Histamine H3 Receptor Antagonist E169 Alleviates Cognitive Deficits And Mitigates Disturbed Pi3k/Akt/Gsk-3Β Signaling Pathway In Mk801-Induced Amnesia In Mice, Sabna Tagelsir Hassan Abdalla

Theses

The role of Histamine H3 Receptors (H3Rs) in memory and the prospective of H3R antagonists in pharmacological control of neurodegenerative disorders, e.g., Alzheimer’s Disease (AD) is well-accepted. Therefore, the procognitive effects of acute systemic administration of H3R antagonist E169 (2.5-10 mg/kg, i.p.) on MK801- induced amnesia using the Novel Object Recognition Test (NORT) paradigm in C57BL/6J mice were evaluated. E169 (5 mg) provided a significant memory-improving effect on MK801-induced short- and long-term memory impairments in NORT. The E169 (5 mg) provided effects were comparable to those observed with the Phosphatidyl Inositol 3-Kinase (PI3K) inhibitor LY294002 and were abrogated with the …

حمایة المستهلك في ضوء الالتزام قبل التعاقدي بالإعلام: دراسة تحليلية في القانون الإماراتي, یلوى عمر راشد المنصوري

Theses

This research aims to study the obligation of notification, Federal Law No. 15 of 2020 on Consumer Protection imposed this obligation on the supplier implicitly, which ensures that the consumer obtains correct information about the provided good or service. This study tries to identify the obligation of notification in the UAE legal system, how it differs from similar obligation to it; moreover, the scope of its implementation in terms of people and subject. Besides, it also indicates to what is the penalty of the failure to meet such obligation.
Moreover, this study discusses the legal legislation of the obligation of …

Disturbance-Observer Based Control For Pwm Rectifiers Without Dc Voltage Oscillations Under Unbalanced Grid Conditions, Mohammed Samer Al-Razehi

Theses

A three-phase controlled rectifier is a power electronic converter that employs the grid voltages as an input to produce a constant dc voltage at its output through the use of a capacitor, known as dc-link capacitor. However, the switching devices of power converters can create harmonics in the grid current, which mandates the need for filters to ensure high-quality grid current. This explains why the power converter is normally connected to the grid using passive filters such as L filter or LCL filter. The L filter is normally preferred over LCL filter to reduce harmonic distortions in grid currents as …

The Status Of Homogeneous Grouping Implication In English Language Classrooms In The United Arab Emirates, Eman Mohamed Abdelwahab

Theses

This thesis is concerned with the status of homogeneous grouping implication in English language classrooms in the United Arab Emirates public schools. The study aims at exploring students’ and teachers’ perceptions toward homogeneous learning in English language classrooms, encountered challenges and possible suggestions of improvement. The Mixed method was used for data collection and analysis, by using both qualitative (Interview and short-essay questions) and quantitative (Likert-scale questionnaires) data as main sources of data.

The Study sample included 645 participants, consisting of 30 English language teachers and 615 high school students from 13 public schools in the United Arab Emirates. The …

A Data Driven Model To Promote Preparedness And Respond Intelligently To Pandemic Outbreaks, Safea Mohammed Al Senani

Theses

The COVID-19 pandemic has had a major effect on various vital sectors of the economy, including education healthcare, and the industry. Governments have imposed strict regulations to reduce the spread of this global disease outbreak. Consequently, working from home, online learning, social distancing and various control measures were enforced. In response, many schools shifted to distance learning, although most of these schools were neither technically ready nor administratively prepared for the online transition. Despite recent progress, countries are still experiencing daunting challenges to control the infection rate and magnitude, stabilize the economy, and relax socialization and public life activities. Decision-makers …

Orbit Propagation And Determination Algorithms For Satellite Ground Stations, Shamma Esmaeel Jamali

Theses

The satellite orbital parameters are essential for satellite operations. With these parameters, it is possible to estimate the satellite position in the recent past and near future, which is essential to effectively plan satellite operations and associate satellite telemetry with geographical locations.
However, for small or medium satellite operators who do not possess the infrastructure required to track their satellites, the problem of determining the satellite orbit is problematic. To access the orbit for their satellites, these organizations have to rely on third parties such as Celestrak. These entities provide the service free of charge but do not provide orbital …

Towards The Detection And Analysis Of Performance Regression Introducing Code Changes, Deema Adeeb Alshoaibi

Theses

In contemporary software development, developers commonly conduct regression testing to ensure that code changes do not affect software quality. Performance regression testing is an emerging research area from the regression testing domain in software engineering. Performance regression testing aims to maintain the system's performance. Conducting performance regression testing is known to be expensive. It is also complex, considering the increase of committed code and developing team members working simultaneously. Many automated regression testing techniques have been proposed in prior research. However, challenges in the practice of locating and resolving performance regression still exist. Directing regression testing to the commit level …

Societal Impact Assessment Of Depression, Mohammed Salah Almazrouei

Theses

Depression is a mental problem characterised by unusual changes in the mood of a person, accompanied by a temporary different emotional response to everyday changes in the phenomena (WHO, 2020). Affected people suffer greatly, hence functioning poorly in the workplace, school, or at home in a family setup. Even though the public is well aware of its existence, there is little going on to combat this condition. Amongst the various stumbling blocks towards achieving an effective approach to address the problem include limited resources and associated well-trained personnel to help the victims.

A mental disorder associated with social stigma and …

Bayesian Estimation Of The Intensity Function Of A Non-Homogeneous Poisson Process, James Jensen

Theses

In this paper we explore Bayesian inference and its application to the problem of estimating the intensity function of a non-homogeneous Poisson process. These processes model the behavior of phenomena in which one or more events, known as arrivals, occur independently of one another over a certain period of time. We are concerned with the number of events occurring during particular time intervals across several realizations of the process. We show that given sufficient data, we are able to construct a piecewise-constant function which accurately estimates the mean rates on particular intervals. Further, we show that as we reduce these …

Fraud Detection In Financial Services Using Machine Learning, Khalifa Alsenaani

Theses

The banking industry is an important part of modern actions as it manages the movement of funds between different parties. However, this area is synonymous with some cases of fraud where people are being swindled their money, illegal transactions are being made and others.

The complexity of ensuring that transactions stay legitimate has since made it almost impossible to regulate fraud in this industry correctly. This report presents an approach that utilizes Machine Learning techniques to build a model that detects fraudulent transactions and flags them. The approach utilizes a dataset that contains a collection of observation points on transactions …

Horror: Where Are We? Where Do We Go?, Branden Boehnke

Theses

This project will investigate the current production standards, inspiration and evolution of the genre of horror in media. The final deliverable is a 30 minute documentary covering the genre as a whole across different forms of media. The documentary also includes interviews of respected figures within the genre from different aspects of media such as film, video games, viral social media posts and online databases.

Predicting Delays In The Supply Chain With The Use Of Machine Learning, Raghad Al-Saghir

Theses

The supply chain includes all the steps in an item's life cycle starting from raw material and all the way to the customers. Delays in these steps have always been a problem faced by businesses due to the huge financial loss these delays account for. These delays frequently cause significant financial losses, irritate customers, and loss of customer confidence. The aim of this study is to construct a prediction model that predicts late deliveries before its occurrence with the use of big data and machine learning. The study used Dataco Supply Chain dataset and cleaned, visualized, and trained it using …

Water Microbial Pollution Risk Simulation And Prediction Using Ml, Dania Al Safadi

Theses

Water quality has been a global concern due to its scarcity as well as it is direct effects on wellbeing and food production. Therefore, many studies have been addressing this matter in order to address the consequences left behind. Consider the harmful effects of polluted water moving uninterrupted over vast distances and through countless homes. The water we drink, cook with, and bathe in would not be safe requiring an immediate response in order to reduce the damage as a direct result of the pollution. The aim of this study was to develop models that could evaluate the microbial water …

Fraudulent Insurance Claims Detection Using Machine Learning, Arif Ismail Alrais

Theses

As the different countries around the world evolve into a more economical-based and stimulating their economy is the goal. The main purpose of most of these countries is to fight off money launderers and fraudsters for better economic growth. A popular fraud topic in this regard is insurance fraud since it costs the companies and the public billions. Applying data analysis and machine learning are great ways used to address many problems regarding any automated system. To address this problem, first extensive research should be made to check out what has been applied and what the most promising solution using …

Predicting Electrical Faults In Power Distribution Network, Ahmad Adel Bin Sulaiman

Theses

Electricity is becoming increasingly important in modern civilization, and as a result, the emphasis on and use of power infrastructure is gradually expanding. Simultaneously, investment and distribution modes are shifting from the large-scale centralized generation of electricity and sheer consumption to decentralized generators and extremely sophisticated clients. This transformation puts further strain on old infrastructure, necessitating significant expenditures in future years to ensure a consistent supply. Subsequent technical and prediction technologies can help to maximize the use of the current grid while lowering the probability of faults. This study discusses some of the local grid difficulties as well as a …

The Effect Of Specimen Thickness On The Lüders Phenomena In Aisi 1524 Steel Alloy, Joost H. Van Der Heijde

Theses

At certain temperatures, strain rates and slender geometries, low carbon steels, as well as some aluminum, magnesium and nickel-based alloys, exhibit plastic flow instability at the onset of their respective yield points, known as the Lüders phenomena. Such phenomenon is recognized by a distinct yield point and subsequent plateau on the stress-strain curve. This thesis aims to investigate the effect of the sample’s thickness on the Lüders phenomena in AISI 1524 hot-rolled steel alloy. Sixteen samples were machined from hot-rolled plates and uniaxial testing in conjunction with digital image correlation were performed to gain insight and quantify the Lüders band’s …

A Hybrid Time-Series Pv Power Forecasting Model Implementing Facebook Prophet And Neural Prophet Algorithms, Afra Nasser Al Mansoori, Fatima Ahmed Al Ajami, Maha Ali Mousa

Theses

Globally, countries are limiting their dependency on conventional energy as their primary energy source. From this perspective, the ongoing integration of renewable energy sources with existing systems is the focus of researchers and power utilities. Photovoltaics (PV) is one of the leading solar technologies driving substantial growth in renewable energy applications. Consequently, power utilities are faced with large penetration of PV systems within the existing electrical grid. This ongoing integration introduces new electricity generation profiles, which raises technical challenges affecting grid reliability. Therefore, this work proposes building a PV power short-term forecasting model, which can avoid adverse outcomes of large …

Miniaturized Iii-V/ Si Hybrid Laser With An Integrated Modulator, Praveen Kumar Singaravelu

Theses

Light interaction with microscopic and nanoscopic structures enable manipulation of its characteristics which can be used to detect objects in 3D sensing, propel satellites to space using photonic propulsion and transmit data through optical communication. For optical communication, the basic components are lasers, modulators and photodetectors. The development of CMOS microfabrication foundries helps to manufacture silicon-based photonic devices with high yield that is directly co-integrated with electronics in a single chip. However, the lack of emission of photons efficiently in silicon propelled the necessity of hybrid photonic devices that inherits the combined advantage of different materials i.e. functionality and volume. …

Development Of Phage Therapy Strategies Against Gram-Positive Bacterial Pathogens, Sara Arroyo Moreno

Theses

Bacterial resistance to conventional antibiotics has become an urgent healthcare issue worldwide. In this light, a renewed interest has emerged for therapy with bacteriophages (phages), which are viruses that can specifically infect bacteria. These viruses encode different proteins that degrade specific bonds within the bacterial cell wall, both to inject their genomic material into the bacterial cells and to release the viral progeny: virion-associated hydrolases and endolysins, respectively. Elimination of Gram-positive pathogens with recombinant versions of phage enzymes represents a promising alternative to classical antibiotics. In this thesis, different phage therapy strategies involving either whole phages or the use of …

Advancing Industrial Participation In Demand Response Within National Electricity Grids Through Systematic Asset Selection, Risk Assessment And Modelling Approaches, Alexander Brem

Theses

Increasing the flexible capacity on national electricity grids will be key to maintain reliable control as the levels of renewables continue to increase annually. The industrial sector has been identified as being capable of contributing and potentially offering flexible capacities, following appropriate investigation. The aim of this thesis is to develop the knowledge, advance the engagement and encourage additional participation in national demand response programmes from the industrial sector to provide this flexibility. The potential within this sector, facilitated by the smart grid and demand response concepts is outlined, specifically detailing their benefits, driving factors and potential barriers as part …

Radiometric Effects Of Centimeter Scale Roughness Of Bare Soils, Dylan J. Shiltz

Theses

The roughness of a bare soil surface has important implications in both the reflective and microwave domains of remote sensing. In a natural environment, roughness is present at a wide range of length scales, from the roughness of individual particles to meter or kilometer scale geological features. This thesis will focus on centimeter scale roughness,i.e. surface features whose length scale is much greater than individual soil particles, but which are still small enough that they are unresolved in remote sensing applications. Wind driven and hydrologically driven features, such as the ripples found on a beach or on the surfaces of …

Coupled Oscillators: Protein And Acoustics, Angelique N. Mcfarlane

Theses

This work encompassed three different vibrational energy transfer studies of coupled resonators (metal, topological, and microtubule comparison) inspired by the lattices of microtubules from regular and cancerous cells. COMSOL Multiphysics 5.4 was utilized to design the experiment. The simulation starts with an acoustic pressure study to examine the vibrational modes present in coupled cylinders, representing α-, β-tubulin heterodimers. The Metal Study consisted of 3 models (monomer, dimer, and trimer) to choose the correct height (40 mm) and mode (Mode 1) for study. The Topological Study was run to predict and understand how the lattice structure changes over a parametric sweep …

Efficient And Scalable Triangle Centrality Algorithms In The Arkouda Framework, Joseph Thomas Patchett

Theses

Graph data structures provide a unique challenge for both analysis and algorithm development. These data structures are irregular in that memory accesses are not known a priori and accesses to these structures tend to lack locality.

Despite these challenges, graph data structures are a natural way to represent relationships between entities and to exhibit unique features about these relationships. The network created from these relationships can create unique local structures that can describe the behavior between members of these structures. Graphs can be analyzed in a number of different ways including at a high level in community detection and at …

Integrated Framework For Analyzing Clean Energy Technology Subsidies, Tiruwork Berhanu Tibebu

Theses

Renewable energy technologies can significantly reduce fossil fuel consumption and greenhouse gas emissions associated with the energy sector. In US, both federal and state governments have implemented numerous policies and programs to support these technologies. But these policies require a substantial amount of public spending. In this study, an integrated model to identify optimal subsidy schedules for clean energy technologies that maximize social benefits less subsidy costs is developed. The national flexible optimal subsidy schedule for residential solar PV begins at $585/kW and declines to zero in 14 years. An alternative analytical model is also presented to analyze technological features …

Impacts Of Drugs On Neurotransmission, Wenrong He

Theses

The most sophisticated and mysterious human organ is the brain. The human brain is made up of billions of neurons, which are working nonstop to send and receive messages to regulate the body’s basic functions. Neurons communicate by releasing neurotransmitters from a sending neuron into the synapse, then a receiving neuron picks up the signals on its receptors from neurotransmitters. Drugs can interfere with the communication between neurons in the brain. They can affect the way people feel, react or behave. Drug use impacts the brain’s neuronal circuits which may lead to inflexible behaviors, lack of self-control, and compulsive drug …

Deep Learning For Medical Imaging In A Biased Environment, Usman Mahmood

Theses

Deep learning (DL) based applications have successfully solved numerous problems in machine perception. In radiology, DL-based image analysis systems are rapidly evolving and show progress in guiding treatment decisions, diagnosing, localizing disease on medical images, and improving radiologists' workflow. However, many DL-based radiological systems fail to generalize when deployed in new hospital settings, and the causes of these failures are not always clear. Although significant effort continues to be invested in applying DL algorithms to radiological data, many open questions and issues that arise from incomplete datasets remain. To bridge the gap, we first review the current state of artificial …

Painting As A Vehicle For Identity Formation And Survival, Chunbum Park

Theses

Through the thesis, I produce a highly rigorous body of works and explore the theoretical and philosophical reasons behind my paintings. I explore why I repeatedly paint myself as a woman and why the symbols of tigers, frogs, Frankenstein, and other aspects of Northeast Asian and Korean culture and heritage appear in my paintings. I find that painting is a process by which I can reflect on my own identity as a Korean who alternates between masculine and feminine identities. Painting allows me to react against the problems threatening my identity such as the worldwide trend of the racialization of …

Gyri: Language Learning In The Context Of Your Life, Laura Woodrow

Theses

Many people want to reap the benefits of learning a new language, but your ability to pick up a new language decreases drastically as you age. Immersion is a successful method of learning a new language, much like children learn their native language. Current solutions mainly use spaced repetition through digital means, much like you would discover in a traditional classroom. However, mixed reality can be leveraged to provide an immersive learning experience to the user/s, creating a cognitive link between their environment and the language they are learning. Not only can this method of language learning create an immersive …

Bioinformatics Analyses Of New Genes Of Focus In The Research Of Autism With Dogs, Rats, And A Variety Of Other Model Organisms, Aaron Pennington

Theses

Autism is a mental disorder in which multiple genes are involved in the development of its various symptoms. However, as a result of the challenges inherent to identifying the responsible genes, many studies are ongoing and inconclusive. 1 To date, studies have shown that two genes, BAG3 and PALLD, were upregulated in autistic individuals. 2–6 BAG3 encodes BAG cochaperone 3 32; while PALLD encodes Palladin, Cytoskeletal Associated Protein 33. This project analyzed the similarities and differences between the human BAG3 and PALLD genes and those in various model organisms. While it is likely that epigenetic modifications affect the expression and …

Infomixup : An Intuitive And Information-Driven Approach To Robust Generalization, Andrew H. Meyer

Theses

The discovery of Adversarial Examples — data points which are easily recognized by humans, but which fool artificial classifiers with ease, is relatively new in the world of machine learning. Corruptions imperceptible to the human eye are often sufficient to fool state of the art classifiers. The resolution of this problem has been the subject of a great deal of research in recent years as the prevalence of Deep Neural Networks grows in everyday systems. To this end, we propose InfoMixup , a novel method to improve the robustness of Deep Neural Networks without significantly affecting performance on clean samples. …