Digital Commons Network^™

Extraction And Bioactivity Evaluation Of Antioxidant Components From Teucrium Stocksianum Bioss Collected From Uae, Ahmad Ayman Al Salloum

Theses

Recently, the industry of Natural Bioactive Compounds (NBAC) is expanding dramatically due to its high medical potentials. High bioactivity of natural extracts from a wide range of plants is evident from the reported literature. For instance, NBACs show antibacterial, antifungal, antimicrobial, anti-inflammatory, anticancer and antioxidant activities. Teucrium stocksianum Boiss. from the Lamiaceae family is a known herb in the traditional medicine in United Arab Emirates. Multiple bioactivities of T. stocksianum were recorded such as anti-inflammation, analgesia, antioxidation, anticancer, antinociception and antimicrobial bioactivity. In this thesis, the extraction of NBACs from T. stocksianum was studied with Microwave-assisted extraction using Deep eutectic …

In-Vitro Analysis Of Potential Autophagy Mediated Safranal-Sorafenib Combined Effect On Hepatocellular Carcinoma, Aaminah Farrukh

Theses

Hepatocellular carcinoma (HCC) is one of the most commonly occurring cancers worldwide. The risk factors include obesity, hepatitis, alcoholism, smoking etc. One of the biggest associated challenges is the current treatment strategies. The therapeutic options are limited with economical and accessibility challenges, especially with increased HCC incidence. Sorafenib, a multikinase inhibitor, is one of the first FDA approved drugs for HCC. But drug resistance and cancer relapse are a common drawback for this treatment. The need for better treatment is crucial now more than ever. The use of saffron as a potential natural therapeutic option is not a novel strategy. …

The Role Of School Principals In Fostering The Teamwork Success In Al Ain Schools From Teachers’ Percpective, Afra Mohammed Al Shamsi

Theses

The aim of the present study is to investigate the role of principals in fostering teamwork success. This study explained the leadership practices in fostering teamwork as perceived by teachers. Notably, the teamwork and its importance are neglected most of the time. Additionally, very little work was found in context of UAE. A sample of 334 public school teachers from Al Ain completed the online survey about their satisfaction about teamwork rates, their views regarding principals fostering teamwork, as well as recommendations and suggestions that could promote teamwork among school teachers. Descriptive statistics is adopted to analyze the quantitative items …

Anticolon Cancer Activity Of Aristolochia Rotunda Root Extract, Ghufran Ayman Al Salloum

Theses

Colon cancer is the third leading cause of cancer death worldwide and the first cause of cancer death in the UAE. While the conventional cancer therapy options like chemotherapy, radiation, and surgery are effective in the treatment of most cancers, they exhibit precarious side effects that can endanger the life of the patient. The present study explores the potential anticancer effect of Aristolochia rotunda root extract against human colorectal cancer cells. The root extract exhibited strong anti-proliferative activity in a concentration- and time-dependent manner against human colorectal cancer cell lines. A. rotunda root extract also inhibited colony growth and induced …

Lipocalin-2 Ameliorates The Signs And Outcomes Of Diabetes Mellitus In An Animal Model, Saeeda Mohammed Al Jaberi

Theses

Lipocalin-2 (LCN2) is a new adipocytokine consisting of 198 amino acids. It is also referred to as neutrophil gelatinase-associated lipocalin, siderocalin, uterocalin, α1-microglobulin related protein, or 24p3. LCN2 belongs to a large group of transport proteins that are capable of carrying small and lipid soluble molecules in blood circulation. It has two membrane receptors, megalin/glycoprotein GP330, which binds human LCN2 and SLC22A17 or 24p3R, which forms complexes with mouse Lcn2 protein. LCN2 is encoded by a gene located at chromosome locus 9q34.11. LCN2 was initially isolated from neutrophil granules released at site of infection and inflammation in human and from …

Population Structure And Relative Abundance Of Elasmobranch Species Utilizing Inshore Waters Of Abu Dhabi, Shamsa Mohamed Al Hameli

Theses

The diversity, abundance, and distribution of elasmobranchs is poorly documented along the Arabian Gulf coast of the United Arab Emirates, with only a handful of publications focusing on elasmobranchs with the majority of data are collected through landing site and market surveys lacking site and species-specific data that are crucial for conservation management plans. The main objectives of this research were to determine the occurrence and utilization; quantify the relative abundance across different seasons; and describe the demographic structure of elasmobranch species that occurs in shallow waters around mangroves in Khor Al Saadiyat and adjacent islands, northeast of Abu Dhabi, …

Comprehensive Characterization Of The Aerosol And Cloud Condensation Nuclei In The Uae, Farah Hassan Abdi

Theses

Cloud seeding has emerged as a significant alternative freshwater source in the United Arab Emirates (UAE). It is employed to manipulate weather conditions and increase precipitation in specific target regions. These efforts aim to densify clouds and enhance the likelihood of rainfall by inducing nucleation. This technique involves an operational crew aboard an aircraft that disperses substantial quantities of seeding particles, such as salts or silver iodide, into suitable clouds. These particles can serve as cloud condensation nuclei (CCN) and indirectly affect the rate of rainfall. In 2018, cloud seeding operations were responsible for approximately 10-15% of the UAE's total …

الحماية القانونية للمصنفات الناشئة عن برامج الذكاء الاصطناعي, عائشة يحيى شقفة

Theses

ان المستقبل الذي تطمح له دولة الامارات العربية المتحدة أكثر تطور وفاعلية وذلك بمواكبتها للتطور السريع في عالم التكنلوجيا، فقد تم انشاء وزارة الذكاء الاصطناعي التي تضمنت استراتيجية الامارات للذكاء الاصطناعي لتنسجم بمئوية الامارات 2071 في سعيها ان تكون دولة الامارات الأفضل بالعالم في المجالات كافة. اذ تتناول هذه الدراسة الذكاء الاصطناعي من الجانب الإبداعي وذلك وفق تطوير قدرات وقوة تعلم الالة وتوظيفها لإنتاج ابتكار. فان قانون حق المؤلف

يحمي الابداع بشتى أنواعه إلا أن الابداعات الناشئة عن برامج الذكاء الاصطناعي ابداعات مستحدثه لم يتضمنها نص تشريعي كما لم يتم توضيح الحماية المقرر لها.

أهم النتائج التي توصلت لها هذه …

Assimilating Requirements Specification For Space Manned Missions: A Novel Approach, Khalfan Mohamed Al Remeithi

Theses

Aligned with the UAE Space Strategy 2117, which aims to establish the first inhabitable human on the Martian Surface by 2117, and with the current enthuse toward space tourism, the thesis proposes a novel framework to assimilate the process of requirement specification for a Manned Mission to Mars surface. Deep Space manned missions are unique and characterized by a set of specific requirements that should be elicited from different sources and stakeholders to ensure the missions’ success. In addition, these missions are highly dependent on the software components in the Command and Data Handling System (CDHS), which is used to …

Molecular Mechanisims Underlying The Anti-Cancer Activity Of Gum Arabic From Acacia Sp. In Triple-Negative Breast Cancer Cells, Sawsan Yaslam Hussein Alyafii

Theses

Metastatic breast cancer is the leading cause of cancer-related deaths among women worldwide. Triple-negative breast cancer (TNBC) is the most aggressive, accounting for 15-20% of all breast cancer cases. As TNBC cells lack the expression of hormone receptors estrogen receptors (ER) and progesterone receptors (PR) and human epidermal growth factor receptor 2 (HER2), TNBCs are unresponsive to hormonal therapy and often become highly resistant when exposed to standard chemotherapy, which has been identified as a major obstacle in TNBC treatment. Gum Arabic, a natural exudate produced from plants, is widely used traditionally for religious, cosmetics as well as medicinal purposes …

Lipocalin-2 Ameliorates The Signs And Outcomes Of Diabetes Mellitus In An Animal Model, Saeeda Mohammed Al Jaberi

Theses

Lipocalin-2 (LCN2) is a new adipocytokine consisting of 198 amino acids. It is also referred to as neutrophil gelatinase-associated lipocalin, siderocalin, uterocalin, α1-microglobulin related protein, or 24p3. LCN2 belongs to a large group of transport proteins that are capable of carrying small and lipid-soluble molecules in blood circulation. It has two membrane receptors, megalin/glycoprotein GP330, which binds human LCN2 and SLC22A17 or 24p3R, which forms complexes with mouse Lcn2 protein. LCN2 is encoded by a gene located at chromosome locus 9q34.11. LCN2 was initially isolated from neutrophil granules released at the site of infection and inflammation in humans and from …

Can Date Palms Planted For Urban Landscaping Purposes Serve In The Production Of Edible Fruits? An Evaluation Of Tissue Element Concentrations, Fruits Quality And Health Risks, Khattab Omar Adam Al Nidawi

Theses

More than 80.000 date palms are grown for ornamental purposes as part of public urban greenery in the city of Al Ain. The fruits that these palms produce, are often not valorized as food for humans, due to the fear that they might contain potentially hazardous pollutants, such as heavy metals. When palms are grown near roads or in urban environments, pollution might arise from the exhaust and dust produced by vehicles, industrial activities, as well as through urban waste material deposition, including irrigation with treated sewage effluent. On the other hand, many date palms grown for landscaping purposes might …

Forensic Evaluation Of Qiagen Investigator Argus Y-28 With Case Work Samples, Afnan Mohammed Alshamsi

Theses

Short Tandem Repeats polymorphisms on the Y-chromosome (Y-STRs) play a significant role in history of human hereditary. The recently introduced 6-dyes Qiagen investigator Argus Y-28 Kit which include 28Y-STR loci (DYS389I, DYS391, DYS389II, DYS533, DYS390, DYS627, DYS458, DYS393, DYS19, DYS437, DYS449, DYS460, DYS576, YGATAH4, DYS481, DYS448, DYS518, DYS439, DYS549, DYS438, DYS456, DYS643, QS1, DYS570, DYS635, DYS385, DYS392, QS2) has been used for internal validation study used in the forensic laboratories which followed sensitivity study, mixture studies, PCR parameter limits, stability study, and performance on mock casework samples. The results were reported by statistical analysis using ANOVA program. The results validate …

Molecular Mechanisims Underlying The Anti-Cancer Activity Of Gum Arabic From Acacia Sp. In Triple-Negative Breast Cancer Cells., Sawsan Yaslam Alyafii

Theses

Metastatic breast cancer is the leading cause of cancer-related deaths among women worldwide. Triple-negative breast cancer (TNBC) is the most aggressive, accounting for 15-20% of all breast cancer cases. As TNBC cells lack the expression of hormone receptors estrogen receptors (ER) and progesterone receptors (PR) and human epidermal growth factor receptor 2 (HER2), TNBCs are unresponsive to hormonal therapy and often become highly resistant when exposed to standard chemotherapy, which has been identifies as a major obstacle in TNBC treatment. Gum Arabic, a natural exudate produced from plants, is widely used traditionally for religious, cosmetics as well as medical purposes …

Standard Accented Turkish Speakers’ Perception Of Kurdish Accented Speakers: The Factors Behind The Evaluations, Busra Can

Theses

This study investigates the attitudes of standard accented Turkish speakers towards non-standard Kurdish accented speakers of Turkish. Given the fact that there are strict language policies in Turkey, this paper analyzes the effect of such standard language ideologies on listener attitudes using a mixed-methods design. The study included 50 Turkish participants with ages ranging from 19 to 51. Participants completed a survey with 21 questions and could volunteer to also participate in an interview. The survey asked about biographical data, evaluations of various speakers and ratings of accents of Turkish. Using a matched guise technique in the survey, a Kurdish …

Comparison Of The Effects Of Defusion And Contact With The Present Moment Activities On Inflexible Behavior In Youths With Autism Spectrum Disorder, Melina Segneri

Theses

This study aimed to evaluate the effects of defusion and contact with the present moment activities on psychological flexibility and maladaptive behaviors in youths with Autism. This study used a multi-element research design, with randomized controlled trials. Each component was isolated and tested on its utility and effectiveness towards decreasing maladaptive behavior and increasing psychological flexibility. The questionnaires implemented were Child Acceptance and Mindfulness Measurements (CAMM) and Acceptance and Fusion Questionnaire for Youth (AFQ-Y8). The participants completed these evaluation tools at the beginning and at the end of the intervention. This study utilized the concepts of defusion and contact with …

Identifying Frogeye Leaf Spot Resistance In Two Elite Soybean Populations And Analysis Of Agronomic Traits In Resistant Lines, Kelsey Smith

Theses

Soybeans (Glycine max L.) are an important crop globally for its food, feed, and oilpurposes. It is impacted by many diseases, including Cercospora sojina, the causal agent of Frogeye Leaf Spot (FLS). Chemical and cultural controls to this fungal pathogen are insufficient, so genetic resistance must be acquired for adequate control. To this end, two recombinant inbred populations were screened in a greenhouse setting for their relative resistance to FLS, and their genomes were analyzed for contributing quantitative trait loci (QTL). In the Essex ́ Forrest population, one QTL was discovered on chromosome 13, and in the Forrest ́ Williams …

Land Cover Image Segmentation Based On Individual Class Binary Segmentation, Sathyanarayanan Somasunder

Theses

Remote sensing techniques have been developed over the past decades to acquire data without being in contact of the target object or data source. Their application on land-cover image segmentation has attracted significant attention in recent years. With the help of satellites, scientists and researchers can collect and store high resolution image data that can be further processed, segmented, and classified. However, these research results have not yet been synthesized to provide coherent guidance on the effect of variant land-cover segmentation processes. In this paper, we present a novel model that augments segmentation using smaller networks to segment individual classes. …

Finite Element Modeling Of Underwater Acoustic Environments And Domain Decomposition Methods, General Ozochiawaeze

Theses

Underwater acoustic scattering problems have several important applications ranging from sonar imaging in target detection to providing information for sediment classification and geoacoustic inversion. This work presents numerical methods for time-harmonic acoustic scattering problems, specifically, finite element methods for the Helmholtz equation. Furthermore, an iterative domain decomposition formulation is introduced for acoustic scattering problems where the physical domain consists of multiple layers of different materials.

The Role Of Irak-1 Transcripts In Sepsis, Adithya Subramanian Sahasranamam

Theses

Sepsis is a complex, life-threatening syndrome that can lead to systemic organ failure and dysfunction. Its high morbidity and mortality rates makes it a critical global health issue. The primary factors at play during sepsis are abnormal inflammation and a lack of oxygen supply to the tissues and muscles. The toll-like receptors play a crucial role in eliciting innate immune in response to infection, primarily through the interleukin-1 receptor-associated kinase (IRAK) pathways. Disturbances in the homeostasis of IRAK signaling cascades can lead to immune dysfunction. n this paper, we review the molecular mechanisms of IRAK-1, an important mediator of TLR-induced …

Real Time Analysis Of Eye Movements Using Computer Aided Software, Farhan Ahmad

Theses

Eye movement analysis is a slow and tasking job that require a trained vision analyst to sift through hundreds of eye movements. The difficulty of the task increases when a subject has undiagnosed eye related disorders. One such disorder is Convergence insufficiency (CI) which affects nearly 12 million people in the US. Convergence insufficiency occurs when the eyes are unable to coordinate simultaneous inward movement for near focal tracking. Individuals with CI are unable to coordinate eye movements this can result in many symptoms such as double vision, blurred vision, headaches, vision strain, and fatigue. A diagnosis for CI relies …

Assembly And Detection Of 3-D Qr Codes Through Additive Manufacturing And Terahertz Imaging, Patrick Dunn

Theses

Automatic identification and data capture, or AIDC, plays a substantial role in contemporary business, advertising, and military needs. The purpose of this study is to generate a potential alternative to current AIDC approaches by constructing three-dimensional plastic tags (or ‘3D QR codes’) using additive manufacturing techniques and interrogate them using Terahertz radiation. 3D Quick Response (QR) codes are designed in 3D computer-aided design software. The QR codes are 3D structures embedded in the printed plastic in which an air gap in the plastic (or an air gap filled in with another type of plastic) indicates a bit of information. Information …

Rm-Net: Rasterizing Markov Signals To Images For Deep Learning, Kajal Gupta

Theses

Statistical machine learning approaches are quite famous for processing Markov signal data. They can model unobserved states and learn certain characteristics particular to a signal with good accuracy. However, with the advent of Deep learning the novice ways of solving a problem has shifted towards this more sophisticated algorithm, which is much better, powerful and more accurate. Specifically, Convolutional Neural Nets (CNN) have shown many promising results on images and videos. Here we illustrate how CNN can be applied to a 1D numeric signal using signal rasterization technique. We start by rasterizing a 1D numeric Markov signal into an image …

Stationary Probability Distributions Of Stochastic Gradient Descent And The Success And Failure Of The Diffusion Approximation, William Joseph Mccann

Theses

In this thesis, Stochastic Gradient Descent (SGD), an optimization method originally popular due to its computational efficiency, is analyzed using Markov chain methods. We compute both numerically, and in some cases analytically, the stationary probability distributions (invariant measures) for the SGD Markov operator over all step sizes or learning rates. The stationary probability distributions provide insight into how the long-time behavior of SGD samples the objective function minimum.

A key focus of this thesis is to provide a systematic study in one dimension comparing the exact SGD stationary distributions to the Fokker-Planck diffusion approximation equations —which are commonly used in …

Time Series Forecasting With Applications To Finance, Viswapriya Misra

Theses

In finance, many phenomena are modeled as time series. This thesis investigates time series forecasting problems in finance, precisely the stock price prediction problem. We employ and compare traditional statistical algorithms like MA, ARIMA, and ARMA-GARCH with newly developed deep learning-based algorithms such RNNs, LSTMs, GRUs, TCNs, and bidirectional LSTMs and GRUs for predicting stock prices. We perform a comprehensive study and present all the experimental results on different datasets. We find that ARIMA and GRU perform better for single-step stock price prediction than other deep learning architectures. Adding market and economic indicators do not improve the performance of the …

Iii-Nitride Ultraviolet Light-Emitting Diodes: Approaches For The Enhanced Efficiency, Moulik Patel

Theses

III-nitride ultraviolet (UV) light-emitting diodes (LEDs) offer marvelous potential for a wide range of applications, including air/water purification, surface disinfection, biochemical sensing, cancer cell elimination, and many more. III-nitride semiconductor alloys, especially AlGaN and AlInN, have drawn significant attention due to their significant advantages that include environmental-friendly material composition, compact in size, longer lifetime, low power consumption, and tunable optical emission. However, the performance of III-nitride UV LEDs in terms of efficiency and output power is still deficient. The presence of high defects and dislocations due to lattice-mismatched epilayers, polarization induced quantum-confined Stark effect, electron overflow with low hole injection …

The Effects Of Design Parameters On The Neural Recordings With Micro-Ecog Arrays, Manan Amish Sethia

Theses

In the field of neural prosthetics, electro-cortico-graph (ECoG) arrays are commonly used to record neural activity of the brain cortex both in animal and human subjects. A finite element model (FEM) was developed to simulate the electric field generated by a single neuron in the rat brain cortex and a micro ECoG array (µECoG) placed on the pia surface for recording the neural signal. The neuron was simulated as a dipole current source with a magnitude of 1µA and placed at three different depths in the motor cortex corresponding to different layers under the µECoG array. The array design was …

Short Term Temperature Forecasting Using Lstms, And Cnn, Darshan Shah

Theses

Weather forecasting is a vital application in present times. We can use the predictions to minimize the weather related loss. Use of machine learning and deep learning algorithms for forecasting, can eliminate or reduce the necessity of big data and high computation dependent process of parameterization. Long Short-Term Memory (LSTM) is a widely used deep learning architecture for time series forecasting. In this paper, we aim to predict one day ahead average temperature using a 2-layer neural network consisting of one layer of LSTM and one layer of 1D convolution. The input is pre-processed using a smoothing technique and output …

Stock Market Prediction Using Investor Sentiment, Sarvesh Shukla

Theses

Stock market prediction has attracted not only business but academia as well. It is a research topic, to which many computational methods have been proposed, but desirable and reliable performance is yet to be attained. This study proposes a new method for stock market prediction, which adopts the Gated Recurrent Unit a deep neural network and incorporates investor sentiment to improve its forecasting performance. By extracting investor sentiment from news headlines using VADER sentiment, this paper makes it possible to analyze the irrational component of stock price. Our empirical study on DJIA index proves that our prediction method provides 6% …

Optimization Of Standard Buildings, Ahmed Alkaabi, Saleh Albreiki, Sultan Alawadhi, Yahya Alzarooni

Theses

Different utility sectors in the GCC prefer to adhere to a strict structural structure in order to make their offerings more efficient and satisfy specific customer needs. These layouts often include at least a few facilities, including the facility's security office, fire pump system and operation specifications, and the main facility support house. The challenges in designing these facility structural layouts appear to result in enormous expense requirements, which will be discussed in this article. Multiple buildings on a single plot result in multiple distinct "rafts," each with its own set of access conditions. Getting multiple foundations/buildings, on the other …