Digital Commons Network^™

An Engineering Approach For Evaluating The Lifetime Experience Of Sex Trafficking Victimization, Kimberly Starr Nagulpelli

Dissertations

This research is an original approach that applies industrial engineering and operations research tools to the sociological problem of sex trafficking victimization. Such an approach enables quantitative evaluation of the impacts on an individual’s lifetime by anti-trafficking efforts and public policies.

A fully interconnected, lifetime model for the experience of sex trafficking victimization is defined as the result of a comprehensive review of literature. Beginning with victimization risk, the defined model is an anticipatory tool to understand the incidences and consequences to individuals during their lifetime. This research develops the model further into a Discrete-Time Markov Chain (DTMC) with definitions …

Prospective Mathematics Teachers’ Technological Pedagogical Content Knowledge In Pieces, Nicholas Eric Witt

Dissertations

Productively integrating technology is a vitally important part of teachers’ practice (Barlow, 2021; Bezuk et al., 2017; NCTM, 2018). To adequately prepare Prospective Mathematics Teachers (PMTs) for the demands of teaching professionally, we need to understand more about how teachers and PMTs learn to integrate technology into their classroom. Some models exist related to teachers’ knowledge of integrating technology (e.g., Mishra & Koehler, 2006; Rocha, 2020). However, these models do little to conceptualize the knowledge resources that are activated in the moment of designing technologically-enhanced, conceptually-oriented mathematics tasks. This dissertation draws on ideas from the Knowledge in Pieces (KiP) (diSessa, …

Enabling Energy Efficiency In Connected And Automated Vehicles Through Predictive Control Techniques, Farhang Motallebiaraghi

Dissertations

The transportation sector is a significant contributor to global energy consumption and emissions, necessitating the development of sustainable transportation systems. In this regard, connected and automated vehicles (CAVs) have emerged as a potential solution to transform the transportation industry. By harnessing advanced mapping and location technologies, Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, CAVs offer the promise of improving efficiency, reducing traffic congestion, and enhancing safety and comfort. However, the adoption of CAVs also brings about various challenges, including energy efficiency concerns that need to be addressed to fully realize their potential benefits. This dissertation investigates energy-efficient control techniques for transportation …

Nonparametric Tests For Replicated Latin Squares, Joseph Yang

Dissertations

Two classes of nonparametric procedures for a replicated Latin square design that test for both general and increasing alternatives are developed. The two classes of procedures are similar in the sense that both transform the data so that existing well-known tests for randomized complete block designs can be utilized. On the other hand, the two classes differ in the way that the data is transformed - one class essentially aggregates the data while the other class aligns the data. Within these contexts, the exact distributions and asymptotic distributions are discussed, when applicable. The exact distributions are easily computed using the …

Focus On Form In Peer Collaborative Dialogues In An Omani Efl Context, Sheikha Ali Al-Buraiki

Dissertations

It is well established that classroom interaction and peer learning are essential aspects of the learning process. Thus, it is crucial to incorporate classroom peer interaction into second language learning situations. Drawing on sociocultural theory (SCT), the present study explored students’ focus on form while collaboratively completing pair/group activities and investigated the students’ and teacher’s perceptions of and attitudes towards focusing on the formal properties of the language during peer interaction in their regular English lessons. The research data were collected quantitatively and qualitatively using the following instruments: students’ recorded audio dialogues, a students’ survey, and a teacher’s interview. One …

The Impact Of The Wiki-Enhanced Tblt Approach On High School Students’ Writing Skill In A Boys’ Public School In Al Ain, Uae, Abdullah Mahmoud Taha

Dissertations

This study investigated the impact of the wiki-enhanced task-based language teaching (TBLT) approach on students’ writing skill in the context of English as a foreign language (EFL) in the United Arab Emirates (UAE). In addition, it explored the students’ and teacher’s views and perceptions toward the implementation of the wiki-enhanced TBLT approach. The study data were collected quantitatively and qualitatively from two classrooms in a public high school in the UAE, which consisted of 30 students. The quantitative data were collected via a pretest–posttest design from the two assigned groups of students: the control and experimental groups. The qualitative data …

التطور اللغوي في العربية المعاصرة من خلال باب الأدوات (تحقيقات في ضوء مقولة الخطأ والصواب ومقاربات في التفسير), خالد حسین دلكي

Dissertations

No abstract provided.

Unraveling The Origins Of Grb190114c: An Investigation Of Progenitor Models Through Observational Analysis, Nusrin Habeeb

Dissertations

Gamma-ray bursts (GRBs) are among the most energetic and violent events in the universe, characterized by sudden and intense emission of gamma rays lasting from a fraction of a second to several minutes. The primary focus of this thesis is to study gamma-ray bursts (GRBs), with a specific emphasis on GRB190114C. GRB190114C is a long-duration GRB that was detected on January 14, 2019, by the Fermi Gamma-ray Burst Monitor (GBM) and the Swift Burst Alert Telescope (BAT). It had a T₉₀ duration of 116 s and a redshift of z = 0.4245, which corresponds to a luminosity distance of …

Bismuth And Lanthanides In Mixed Metal Oxides To Metal– Organic Frameworks: Synthesis, Cherectarization, And Photocatalytic Performance, Reem H. Alzard

Dissertations

Known as rare–earth elements (REE), lanthanides (Ln) found in f–blocks of the periodic table, have gained much interest because of their unique characteristics including magnetism, photoluminescence and catalysis. Having a diverse range of coordination geometries, lanthanides can result in different complexes and materials. Herein, three classes of materials containing selected lanthanides such as lanthanide bismuth mixed metal oxides (Ln–Bi oxides), 1D lanthanide coordination polymers (Ln–CPs) and lanthanide metal–organic frameworks (Ln–MOFs) were investigated. Simple route sol– gel method was used to prepare Ln–Bi oxides while Ln–CPs and MOFs were prepared by solvothermal condition. The materials were characterized using multiple analytical, spectroscopic …

Effect Of Collaborative Pre-Task Planning On The Writing Quality Of Intermediate Efl Learners Within The Task-Based Language Teaching Approach, Osama Naeem Alzoubi

Dissertations

This dissertation explores the collaborative pre-task planning taking place prior to writing within the Task-Based Language Teaching (TBLT) framework. The primary aim of this dissertation is to examine how providing time for PTP, considered as a problemsolving activity, has the potential to more positively enhance L2 writers’ performance and motivation to write than writing tasks performed with no planning time. Through a mixed methods experimental design, intermediate school students were distributed into a control and experimental group and conducted a pre-test and post-test to enable the collection of both quantitative and qualitative data over a ten-week period. The actual writing …

Molecular Mechanisms Of Natural And Synthetic Compounds Against Breast And Colon Cancer, Aysha Hamad Alneyadi

Dissertations

Cancer is a complex disease with various causes, including genetic mutations, viruses, chemical agents, and lifestyle factors. Although numerous studies have been conducted to develop a cure or novel medications for cancer, no standout treatment has been found. In this project, the use of various natural and synthetic compounds as potential cancer treatments was investigated using triple-negative breast cancer (TNBC) and colon cancer cells. The cancer therapy strategies investigated were based on plant-derived therapuetic approaches including an essential oil (Origanum majorana essential oil), a pure phytochemical (Carnosol), and newly developed synthetic drugs (Chromenes drevatives; C1 and C2). This study …

Characterization Of Immunomodulatory Properties Of Manuka Honey: Potential Mitigation Against Colon Cancer, Razan Jamil Masad

Dissertations

The focus on using alternative natural products for cancer prevention and treatment has been increasing over the past decade. Among these natural products, Manuka honey (MH) has been extensively investigated for its antimicrobial, wound healing, and anticancer effects. The current study aimed to characterize the immunomodulatory capacity of MH using both in vitro and in vivo approaches and investigate its potential to modulate anti-tumor immune responses in a preclinical model of colorectal cancer. We demonstrate that MH can directly act on macrophages to induce gene expression of several inflammatory cytokines and chemokines and the production of TNF-a, a major proinflammatory …

Enhancing The Bioactivity And Functionality Of Camel Whey By Enzymatic Hydrolysis And Conjugation With Quercetin, Waqas Nabi Baba

Dissertations

This dissertation focuses on enhancing the bioactivity and emulsifying properties of camel whey through peptic hydrolysis and conjugation with quercetin, respectively. Peptic hydrolysis of camel whey using pepsin was performed using a general full factorial design (33) to study the effects of temperature (30, 37, and 45°C), times (120, 240, and 360 min), and enzyme concentrations (0.5, 1, and 2%) on antihypertensive and antilipidemic properties. The generated hydrolysates showed higher inhibition of pancreatic lipase (0.465 to 7.5 mg/mL), cholesterol esterase (0.240 to 1.243 mg/mL), and Angiotensin Converting Enzyme (ACE) (0.197 to 1.307 mg/mL) compared to control camel whey. Various bioactive …

Synthesis, Characterization, And Photocatalytic Activity Of Photoactive Mofs And M-Hof Under Simulated Visible Light Irradiation, Lamia Ali Siddig

Dissertations

The increasing global energy demand has resulted in environmental issues, leading to a shift in research towards sustainable and renewable energy sources. Among these, solar energy is the most abundant natural resource available. One of the most profitable ways to utilize sunlight is through chemical transformation using photocatalysts. In this regard, we reported the synthesis of different stable porous materials, such as metal-organic frameworks (MOFs) and metal hydrogen-bonded organic frameworks (M-HOFs). The MOF photocatalysts are bismuth-gallate (Bi-gallate), a mixed ligand manganese-based MOF (Mn^II₃(tp)_6/2(bpy)₂. (dmf)) and a new hexagonal layer manganese MOF compound named …

Stream-Evolving Bot Detection Framework Using Graph-Based And Feature-Based Approaches For Identifying Social Bots On Twitter, Eiman Alothali

Dissertations

This dissertation focuses on the problem of evolving social bots in online social networks, particularly Twitter. Such accounts spread misinformation and inflate social network content to mislead the masses. The main objective of this dissertation is to propose a stream-based evolving bot detection framework (SEBD), which was constructed using both graph- and feature-based models. It was built using Python, a real-time streaming engine (Apache Kafka version 3.2), and our pretrained model (bot multi-view graph attention network (Bot-MGAT)). The feature-based model was used to identify predictive features for bot detection and evaluate the SEBD predictions. The graph-based model was used to …

Blockchain-Enabled Ehr Sharing In Healthcare Federation: Sharding And Interblockchain Communication, Faiza Hashim

Dissertations

Electronic Health Records (EHRs) are crucial components of the healthcare system, facilitating accurate and efficient diagnosis. Blockchain technology has emerged as a promising solution to improve EHRs sharing among medical practitioners while ensuring privacy and security. By leveraging its decentralized, distributed, immutable, and secure architecture, blockchain has the potential to revolutionize the healthcare system. However, due to security concerns, blockchain networks in healthcare typically operate in private or consortium modes, resulting in isolated networks within a federation. Scalability remains a significant challenge for blockchain networks, as the number of participating nodes increases within each network of the federation. Consensus mechanisms …

Delineating The Cellular Mechanisms Of Endoplasmic Reticulum-Retained Endoglin Mutants Causing Hereditary Hemorrhagic Telangiectasia Type 1, Nesrin Mohammed Gariballa

Dissertations

Endoglin, also known as cluster of differentiation 105 (CD105), is an auxiliary receptor in the TGFβ signaling pathway. It is predominantly expressed in endothelial cells as a component of the heterotetrameric receptor dimers comprising type I, type II receptors and the binding ligands. Mutations in ENG, the gene encoding endoglin, have been associated with Hereditary Hemorrhagic Telangiectasia type 1 (HHT1), a rare autosomal dominant inherited disorder affecting about 1 in 5000-8000 individuals, which is generally characterized by vascular malformations. Secretory and many endomembrane proteins synthesized in the Endoplasmic Reticulum (ER) are subjected to a highly stringent protein folding and assembly …

Cortical Activation As A Result Of Reading Stimuli For Students With Dyslexia And Typically Developing: New Insights From Functional Near Infrared Spectroscopy Neuroimaging (Fnirs), Elazab Mohamed Elshazly

Dissertations

As far as we know, there are few studies that investigated cortical activation using fNIRS and none has examined these hemodynamic changes associated with reading Arabic skills. This study evaluated the changes in cortical activation parameters in terms of oxyhemoglobin, deoxyhemoglobin, hemoglobin difference, and total hemoglobin concentrations observed in the brain (cerebral cortex) of 3^rd grade students during reading Arabic language tasks. The concentrations of cortical activation’s parameters were measured using a functional near infrared spectroscopy (fNIRS) device. The sample size was comprised of 14 3^rd grade students that were enrolled in an inclusive environment public school in …

Machine Learning And Network Embedding Methods For Gene Co-Expression Networks, Niloofar Aghaieabiane

Dissertations

High-throughput technologies such as DNA microarrays and RNA-seq are used to measure the expression levels of large numbers of genes simultaneously. To support the extraction of biological knowledge, individual gene expression levels are transformed into Gene Co-expression Networks (GCNs). GCNs are analyzed to discover gene modules. GCN construction and analysis is a well-studied topic, for nearly two decades. While new types of sequencing and the corresponding data are now available, the software package WGCNA and its most recent variants are still widely used, contributing to biological discovery.

The discovery of biologically significant modules of genes from raw expression data is …

Neural Correlates Of Post-Traumatic Brain Injury (Tbi) Attention Deficits In Children, Meng Cao

Dissertations

Traumatic brain injury (TBI) in children is a major public health concern worldwide. Attention deficits are among the most common neurocognitive and behavioral consequences in children post-TBI which have significant negative impacts on their educational and social outcomes and compromise the quality of their lives. However, there is a paucity of evidence to guide the optimal treatment strategies of attention deficit related symptoms in children post-TBI due to the lack of understanding regarding its neurobiological substrate. Thus, it is critical to understand the neural mechanisms associated with TBI-induced attention deficits in children so that more refined and tailored strategies can …

Motion-Resistant Pulse Oximetry, Ludvik Alkhoury

Dissertations

The measurement of vital signs ? such as peripheral capillary oxygen saturation (SpO₂) and heart rate (HR) levels ? by a pulse oximeter is studied. The pulse oximeter is a non-invasive device that measures photoplethysmography (PPG) signals and extracts vital signs from them. However, the quality of the PPG signal measured by oximetry sensors is known to deteriorate in the presence of substantial human and sensor movements contributing to the measurement noise. Methods to suppress such noise from PPG signals measured by an oximeter and to calculate the associated vital signs with high accuracy even when the wearer …

Biomechanical And Psychophysical Underpinnings Of Balance Dysfunction In Individuals With Traumatic Brain Injury, Naphtaly Ehrenberg

Dissertations

Falls are a major burden on healthcare infrastructure, especially in older adults and even more so in older individuals that are living in institutions. According to data from the Centers for Disease Control and Prevention (CDC), from 2010 to 2020, unintentional falls were the leading cause of nonfatal emergency department visits for all age groups except among individuals from 15-24 years of age, where unintentional falls ranked a very close second to being unintentionally struck by or against. Among older individuals living in the community, approximately 30-35% fall at least once in a given year, and around three times as …

Sparse Methods For Blind Source Separation Of Frequency Hopping Rf Sources, Anushreya Ghosh

Dissertations

Blind source separation (BSS) is performed on frequency hopping (FH) sources. These radio frequency (RF) signals are observed by a uniform linear array (ULA) over a Spatial Channel Model (SCM) in four different propagation environments: (i) line-of-sight (LOS), (ii) single-cluster, (iii) multiple-cluster, and (iv) LOS with interference. The sources are spatially sparse, and their activity is intermittent and assumed to follow a hidden Markov model (HMM). BSS is achieved by utilizing direction of arrival (DOA) of the sources and clusters. A sparse detection framework is applied to obtain estimates of the sources' FH and DOA patterns. The solutions are binned …

Cu/Bnx Catalysts For Electrocatalytic Reduction Of Nitrogen And Nitrate Waste, Siming Huo

Dissertations

Ammonia (NH₃) is one of the most important chemicals to the whole human society. The invention of the Haber-Bosch process enabled the industrial production of NH₃. However, owing to the high capital costs of the centralized plant and the equipment and the negative environmental impact, it is no longer suitable for today's needs of human development. As a result, there is an urgent need to investigate sustainable approaches for ammonia production. Among those reported studies, nitrogen reduction (NRR) and nitrate reduction reaction (NO₃RR) are considered applicable in the future. However, after decades of studying …

Trustworthy Machine Learning Through The Lens Of Privacy And Security, Thi Kim Phung Lai

Dissertations

Nowadays, machine learning (ML) becomes ubiquitous and it is transforming society. However, there are still many incidents caused by ML-based systems when ML is deployed in real-world scenarios. Therefore, to allow wide adoption of ML in the real world, especially in critical applications such as healthcare, finance, etc., it is crucial to develop ML models that are not only accurate but also trustworthy (e.g., explainable, privacy-preserving, secure, and robust). Achieving trustworthy ML with different machine learning paradigms (e.g., deep learning, centralized learning, federated learning, etc.), and application domains (e.g., computer vision, natural language, human study, malware systems, etc.) is challenging, …

Ai Approaches To Understand Human Deceptions, Perceptions, And Perspectives In Social Media, Chih-Yuan Li

Dissertations

Social media platforms have created virtual space for sharing user generated information, connecting, and interacting among users. However, there are research and societal challenges: 1) The users are generating and sharing the disinformation 2) It is difficult to understand citizens' perceptions or opinions expressed on wide variety of topics; and 3) There are overloaded information and echo chamber problems without overall understanding of the different perspectives taken by different people or groups.

This dissertation addresses these three research challenges with advanced AI and Machine Learning approaches. To address the fake news, as deceptions on the facts, this dissertation presents Machine …

Mapping Programs To Equations, Hessamaldin Mohammadi

Dissertations

Extracting the function of a program from a static analysis of its source code is a valuable capability in software engineering; at a time when there is increasing talk of using AI (Artificial Intelligence) to generate software from natural language specifications, it becomes increasingly important to determine the exact function of software as written, to figure out what AI has understood the natural language specification to mean. For all its criticality, the ability to derive the domain-to-range function of a program has proved to be an elusive goal, due primarily to the difficulty of deriving the function of iterative statements. …

Importance Of Vegetation In Tsunami Mitigation: Evidence From Large Eddy Simulations With Fluid-Structure Interactions, Abhishek Mukherjee

Dissertations

Communities worldwide are increasingly interested in nature-based solutions like coastal forests for the mitigation of coastal risks. Still, it remains unclear how much protective benefit vegetation provides, particularly in the limit of highly energetic flows after tsunami impact. The present thesis, using a three-dimensional incompressible computational fluid dynamics model with a fluid-structure interaction approach, aims to quantify how energy reflection and dissipation vary with different degrees of rigidity and vegetation density of a coastal forest.

In this study, tree trunks are represented as cylinders, and the elastic modulus of hardwood trees such as pine or oak is used to characterize …

Influence Of Material Properties On Granules Prepared By Dry Co-Rotating Twin Screw Extrusion And Counterrotating Batch Mixing, Afstathios Steve Pafiakis

Dissertations

Recently, the pharmaceutical industry has shown interest in continuous granulating technology because of the flexibility it offers as an option that bypasses the costly scale-up process associated with batch manufacturing. However, the granulation mechanism(s) using twin screw co-rotating hot melt extrusion (HME) has not been fully explored, and it is not yet well understood. This leads to costly experiments during development and process reliability problem in commercial manufacturing. The main objective of this dissertation is to increase the mechanistic understanding of the twin screw granulation process of systems containing an active pharmaceutical ingredient (API) and a polymer excipient. This is …

Pbm And Dem Simulations Of Large-Scale Closed-Circuit Continuous Ball Mill Of Cement Clinker, Nontawat Muanpaopong

Dissertations

Cement milling is known to be inefficient and energy-intensive. Thus, even small improvements in cement milling's performance could significantly reduce operation costs. This dissertation aims to develop a simulation tool for dry milling and generate a fundamental process understanding, which enables process optimization. To this end, a true unsteady-state simulator (TUSSIM) for continuous dry milling is developed and applied to model various processes: (a) open circuit continuous mills, (b) closed-circuit continuous mills, and (c) vertical roller mills. TUSSIM is based on the solution of the cell-based population balance model (PBM) for continuous milling, which consists of a set of differential …