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The Impacts Of Problematic Social Media Use On Youths: Evaluation And Treatment Recommendations, Carianne Archer Sep 2022

The Impacts Of Problematic Social Media Use On Youths: Evaluation And Treatment Recommendations, Carianne Archer

Dissertations

Youths’ frequency and time spent on social media continues to increase over the years parallel to the growing concern of the status of the mental health of youth. This critical literature review project focuses on the impacts that social media use has on youth (ages 8 to 18 years) and what methods of evaluation and treatment are being used clinically, with recommendations provided to clinicians based on the available literature. The questions that guided this review included: What are the impacts of social media on the self-concept and interpersonal functioning of youths?; What clinical presentations are associated with youths who …


The Relationship Between Community Policing, Police Profiling And Brutality, And How It Relates To Minority Communities’ Perceptions Of Police, Tamela Ali Sep 2022

The Relationship Between Community Policing, Police Profiling And Brutality, And How It Relates To Minority Communities’ Perceptions Of Police, Tamela Ali

Dissertations

Ethnic communities in the United States are at a greater risk of police-related mortality and experiencing racial profiling by the police and are more likely to report negative perceptions of the police than White Americans. Community policing has been proposed as a viable solution to this problem. Residents’ perceptions of the police seem to be predicted by race, where they live, and other factors. Studies also show that the intensity of racial profiling and brutality by the police differs in urban and suburban areas. Therefore, it is difficult to generalize the perceptions of the police across all communities. This study …


Characterization Of The Long Non-Coding Rna Proins In Human Pancreatic Β-Cell, Shareena Saeed Lootah Sep 2022

Characterization Of The Long Non-Coding Rna Proins In Human Pancreatic Β-Cell, Shareena Saeed Lootah

Dissertations

It is well established that the genome is pervasively transcribed. Only 2% of those transcripts are translated into proteins, and the remaining 98% are non-translated, generating the non-coding RNAs (ncRNAs) species. A close observation of these transcripts directed the scientific community to their increasing potential functional roles in the cells. Indeed, the literature exponentially unveils this notion, with many ncRNAs showing substantial and variable biological functions. The field is in its infancy; however, efforts are accelerating to discover and define this ocean of new species.

Long non-coding RNAs (lncRNAs) are sub-species of ncRNAs with an arbitrary size of more than …


The Impact Of Formal Teacher-Led Instructional Coaching, Mohammed Farraj Sep 2022

The Impact Of Formal Teacher-Led Instructional Coaching, Mohammed Farraj

Dissertations

The purpose of this study was to evaluate the impact of teacher leadership through instructional coaching. This study was designed to find the appropriate structures that promote teacher leadership with a specific focus on using a distributed leadership model of school leadership that develops and promotes teacher-led instructional coaching. This will enable school leaders to create a shared vision and outline steps to formally add teacher leadership roles in their school organizations. In addition, it will allow for a more streamlined organizational process, leading to a more effective and efficient leadership.

Two school districts outside of Chicago were used to …


Analyzing Fluctuation Of Topics And Public Sentiment Through Social Media Data, Haoyue Liu Aug 2022

Analyzing Fluctuation Of Topics And Public Sentiment Through Social Media Data, Haoyue Liu

Dissertations

Over the past decade years, Internet users were expending rapidly in the world. They form various online social networks through such Internet platforms as Twitter, Facebook and Instagram. These platforms provide a fast way that helps their users receive and disseminate information and express personal opinions in virtual space. When dealing with massive and chaotic social media data, how to accurately determine what events or concepts users are discussing is an interesting and important problem.

This dissertation work mainly consists of two parts. First, this research pays attention to mining the hidden topics and user interest trend by analyzing real-world …


Computation Of Risk Measures In Finance And Parallel Real-Time Scheduling, Yajuan Li Aug 2022

Computation Of Risk Measures In Finance And Parallel Real-Time Scheduling, Yajuan Li

Dissertations

Many application areas employ various risk measures, such as a quantile, to assess risks. For example, in finance, risk managers employ a quantile to help determine appropriate levels of capital needed to be able to absorb (with high probability) large unexpected losses in credit portfolios comprising loans, bonds, and other financial instruments subject to default. This dissertation discusses the computation of risk measures in finance and parallel real-time scheduling.

Firstly, two estimation approaches are compared for one risk measure, a quantile, via randomized quasi-Monte Carlo (RQMC) in an asymptotic setting where the number of randomizations for RQMC grows large, but …


Brainless But Smart: Investigating Cognitive-Like Behaviors In The Acellular Slime Mold Physarum Polycephalum, Subash Kusum Ray Aug 2022

Brainless But Smart: Investigating Cognitive-Like Behaviors In The Acellular Slime Mold Physarum Polycephalum, Subash Kusum Ray

Dissertations

Evolutionary pressures to improve fitness, have enabled living systems to make adaptive decisions when faced with heterogeneous and changing environmental and physiological conditions. This dissertation investigated the mechanisms of how environmental and physiological factors affect the behaviors of non-neuronal organisms. The acellular slime mold Physarum polycephalum was used as the model organism, which is a macroscopic, unicellular organism, that self-organizes into a network of intersecting tubules. Without using neurons, P. polycephalum can solve labyrinth mazes, build efficient tubule networks, and make adaptive decisions when faced with complicated trade-offs, such as between food quality and risk, speed and accuracy, and exploration …


Stochastic Modeling Of Flows In Membrane Pore Networks, Binan Gu Aug 2022

Stochastic Modeling Of Flows In Membrane Pore Networks, Binan Gu

Dissertations

Membrane filters provide immediate solutions to many urgent problems such as water purification, and effective remedies to pressing environmental concerns such as waste and air treatment. The ubiquity of applications gives rise to a significant amount of research in membrane material selection and structural design to optimize filter efficiency. As physical experiments tend to be costly, numerical simulation and analysis of fluid flow, foulant transport and geometric evolution due to foulant deposition in complex geometries become particularly relevant. In this dissertation, several mathematical modeling and analytical aspects of the industrial membrane filtration process are investigated. A first-principles mathematical model for …


Optimizing Incentives For Systems With Heterogeneous Agents, Chen Chen Aug 2022

Optimizing Incentives For Systems With Heterogeneous Agents, Chen Chen

Dissertations

This dissertation explores new models and applications based on the game theory of incentives. This exploration starts with controlling an invasive insect problem to address one of the most significant challenges facing our forests, the invasion of the Emerald ash borer (EAB), a non-native, wood-boring insect that threatens to kill most ash trees in North America, through designing two new cost-sharing programs between the landowners and local governments. Ash trees are one of North America’s most widely distributed tree genera and a vital part of the green infrastructure of cities, where they provide residents with numerous social, economic, and ecological …


Performance Analysis Of The Dominant Mode Rejection Beamformer, Enlong Hu Aug 2022

Performance Analysis Of The Dominant Mode Rejection Beamformer, Enlong Hu

Dissertations

In array signal processing over challenging environments, due to the non-stationarity nature of data, it is difficult to obtain enough number of data snapshots to construct an adaptive beamformer (ABF) for detecting weak signal embedded in strong interferences. One type of adaptive method targeting for such applications is the dominant mode rejection (DMR) method, which uses a reshaped eigen-decomposition of sample covariance matrix (SCM) to define a subspace containing the dominant interferers to be rejected, thereby allowing it to detect weak signal in the presence of strong interferences. The DMR weight vector takes a form similar to the adaptive minimum …


Low-Reynolds-Number Locomotion Via Reinforcement Learning, Yuexin Liu Aug 2022

Low-Reynolds-Number Locomotion Via Reinforcement Learning, Yuexin Liu

Dissertations

This dissertation summarizes computational results from applying reinforcement learning and deep neural network to the designs of artificial microswimmers in the inertialess regime, where the viscous dissipation in the surrounding fluid environment dominates and the swimmer’s inertia is completely negligible. In particular, works in this dissertation consist of four interrelated studies of the design of microswimmers for different tasks: (1) a one-dimensional microswimmer in free-space that moves towards the target via translation, (2) a one-dimensional microswimmer in a periodic domain that rotates to reach the target, (3) a two-dimensional microswimmer that switches gaits to navigate to the designated targets in …


Artificial Neural Networks And Their Applications To Intelligent Fault Diagnosis Of Power Transmission Lines, Fatemeh Mohammadi Shakiba Aug 2022

Artificial Neural Networks And Their Applications To Intelligent Fault Diagnosis Of Power Transmission Lines, Fatemeh Mohammadi Shakiba

Dissertations

Over the past thirty years, the idea of computing based on models inspired by human brains and biological neural networks emerged. Artificial neural networks play an important role in the field of machine learning and hold the key to the success of performing many intelligent tasks by machines. They are used in various applications such as pattern recognition, data classification, stock market prediction, aerospace, weather forecasting, control systems, intelligent automation, robotics, and healthcare. Their architectures generally consist of an input layer, multiple hidden layers, and one output layer. They can be implemented on software or hardware. Nowadays, various structures with …


Behavior Of Novel Cementitious Composites For Use In Sustainable Construction And Rehabilitation, Noah A. Thibodeaux Aug 2022

Behavior Of Novel Cementitious Composites For Use In Sustainable Construction And Rehabilitation, Noah A. Thibodeaux

Dissertations

Cementitious composites are a class of cement-based materials that incorporate a cement paste and other constituents to form a composite material. Cementitious composites may include coarse and/or fine aggregate, admixtures, supplementary cementitious materials (SCMs), or fibers in order to achieve a desired workability, strength, or durability property.

Recently, material scientists and engineers have developed a variety of novel cementitious composites for the purpose of new construction, rehabilitation, and reconstruction applications. Such materials can be used to improve the sustainability of civil infrastructure through the use of recycled, repurposed, or low-embodied carbon materials. Since many of the qualification standards and tests …


Diagnostics Of Energy Release In Solar Flares With Radio Dynamic Imaging Spectroscopy, Yingjie Luo Aug 2022

Diagnostics Of Energy Release In Solar Flares With Radio Dynamic Imaging Spectroscopy, Yingjie Luo

Dissertations

Studies of the magnetic energy release and conversion process lie at the core of solar flare physics. Radio observations serve as a unique diagnostic method. In this dissertation, taking advantage of broadband radio dynamic imaging spectroscopy observations made by the Karl G. Jansky Very Large Array (VLA), studies are carried out on the flare energy release processes using different types of radio emissions.

The VLA is a general-purpose radio observatory located in New Mexico, which provides high-quality radio dynamic imaging spectroscopic observations with an ultra-fast time cadence. In the first study, stochastic decimetric radio spike bursts are observed by the …


Digital Image Forensics Via Meta-Learning And Few-Shot Learning, Yuxi Shi Aug 2022

Digital Image Forensics Via Meta-Learning And Few-Shot Learning, Yuxi Shi

Dissertations

Digital images are a substantial portion of the information conveyed by social media, the Internet, and television in our daily life. In recent years, digital images have become not only one of the public information carriers, but also a crucial piece of evidence. The widespread availability of low-cost, user-friendly, and potent image editing software and mobile phone applications facilitates altering images without professional expertise. Consequently, safeguarding the originality and integrity of digital images has become a difficulty. Forgers commonly use digital image manipulation to transmit misleading information. Digital image forensics investigates the irregular patterns that might result from image alteration. …


Effect Of Current Density Ramping On The Anodic Reaction And Morphology Of Aerospace Aluminum Alloys, Peter Totaro Jr. Aug 2022

Effect Of Current Density Ramping On The Anodic Reaction And Morphology Of Aerospace Aluminum Alloys, Peter Totaro Jr.

Dissertations

Aluminum anodizing has been experimented with and studied over the last century because of its ability to form uniform, well ordered cellular coatings on aluminum alloys. Anodizing aerospace alloys has been problematic, due to the alloying elements used to add strength and resistance to stress cracking corrosion. These intermetallic compounds, i.e., copper and zinc, promote oxygen evolution and stress as they accumulate in and on the surface of the forming aluminum oxide. These inclusions lead to increased electrical resistance that forms porous and flawed coating, which can lead to industrial and field failures. The amount of voltage placed on the …


Sensorimotor Content Of Multi-Unit Activity In The Paramedian Lobule Of The Cerebellum, Esma Cetinkaya Aug 2022

Sensorimotor Content Of Multi-Unit Activity In The Paramedian Lobule Of The Cerebellum, Esma Cetinkaya

Dissertations

Based on Center for Disease Control and Prevention report 2016, around 39.5 million people in the United States suffer from motor disabilities. These disabilities are due to traumatic conditions like traumatic brain injury (TBI), neurological diseases such as amyotrophic lateral sclerosis (ALS), or congenital conditions. One of the approaches for restoring the lost motor function is to extract the volitional information from the central nervous system (CNS) and control a mechanical device that can replace the function of a paralyzed limb through systems called Brain-Computer Interfaces (BCI).

One of the major challenges being faced in BCIs and also in general …


Resource Allocation, User Association And Placement For Uav-Assisted Communications, Shuai Zhang Aug 2022

Resource Allocation, User Association And Placement For Uav-Assisted Communications, Shuai Zhang

Dissertations

In the past few years, unmanned aerial vehicle (UAV)-assisted heterogeneous network has attracted significant attention due to its wide range of applications, such as disaster rescue and recovery, ground macro base station (MBS) traffic offloading, communications for temporary events, and data collection for further processing in Internet of Things (IoT). A UAV can act as a flying base station (BS) to quickly recover the communication coverage in the disaster area when the regular terrestrial infrastructure is malfunctioned. The UAV-assisted heterogeneous network can effectively provision line of sight (LoS) communication links and therefore can mitigate potential signal shadowing and blockage. The …


Development And Evaluation Of A Hand Exoskeleton For Neurorehabilitation Post Stroke, Ashley Joyce Mont Aug 2022

Development And Evaluation Of A Hand Exoskeleton For Neurorehabilitation Post Stroke, Ashley Joyce Mont

Dissertations

Stroke affects approximately 800,000 people in the United States each year, and due to its chronic effects, it is one of the leading causes of disability. Many individuals with stroke suffer the loss of motor function in their paretic upper extremity, and longitudinal studies show that 30 — 66% of individuals with hemiplegia fail to regain arm function six months post stroke. After a stroke, the brain undergoes neuroplasticity which will promote recovery of function. Investigators and clinicians are trying to develop rehabilitation interventions that can be designed to promote neuroplasticity, enhancing the recovery outcomes of therapy.

For individuals with …


Modeling Of Two-Dimensional And Biological Materials Towards Diverse Nano-Systems Applications, Jatin Kashyap Aug 2022

Modeling Of Two-Dimensional And Biological Materials Towards Diverse Nano-Systems Applications, Jatin Kashyap

Dissertations

This dissertation studies the demonstration of materials ranging from two-dimensional (2D) materials to small bio-molecules using various atomistic/molecular and sub-atomic particles (electron, hole, excitons) modeling techniques for multi-domain applications. Three categories of materials/systems are investigated as follows: 2D materials, biological materials, and complexes of 2D and biological materials.

The first problem demonstrates wrinkles' ubiquitous presence in two-dimensional materials significantly alters their properties. It is observed that water molecules, sourced from ambient humidity or transfer method, can get diffused in between Graphene and the substrate during the Graphene growth. The water diffusion causes/assists wrinkle formation in Graphene, which influences its properties. …


Towards Ensuring Integrity And Authenticity Of Software Repositories, Sangat Vaidya Aug 2022

Towards Ensuring Integrity And Authenticity Of Software Repositories, Sangat Vaidya

Dissertations

The software development process comprises a series of steps known as a software supply chain. These steps include managing the source code, testing, building and packaging it into a final product, and distributing the product to end users. Along this chain, software repositories are used for different purposes such as source code management (Git, SVN, mercurial), software distribution (PyPI, RubyGems, NPM) or for deploying software based on container images (Harbor, DockerHub, Artifact Hub). In the recent past, different types of repositories have increasingly been the target of attacks. As such, there is a need for mechanisms to ensure integrity and …


Decoding Human Movement Through Experiments And Simulation, Vishnu Deep Chandran Aug 2022

Decoding Human Movement Through Experiments And Simulation, Vishnu Deep Chandran

Dissertations

The ability to walk or move independently plays a decisive role in one's quality of life. This human ability requires complex coordination with several systems, such as the nervous, muscular, skeletal, and sensory organs, to execute movement tasks. Hence, any disorder of these systems from injury, disease, or aging severely affects the ability to walk or move independently. Disabilities that impair movement severely affect the quality of life. Therefore, studying the changes affecting human movement is necessary to improve the lives of individuals with impaired movement. Since human movement is complex and many systems interact in non-intuitive ways, the overarching …


Formation Of Oil Particle Aggregates And The Impact On The Fate Of Oil, Wen Ji Aug 2022

Formation Of Oil Particle Aggregates And The Impact On The Fate Of Oil, Wen Ji

Dissertations

Spilled oil slicks are likely to break into droplets offshore due to wave energy. The fate and transport of such droplets are affected by suspended particles in local marine environment, through forming oil particle aggregates (OPAs). OPA formation is affected by various factors, including the properties of the particles and oil, the mixing energy and duration, etc. To investigate the impact of these factors, lab scale experiments are conducted by using seawater (both artificial and natural) and kaolinite and silica to simulate the formation of OPAs in baffled flasks. In the first experiment, 9 gm and 3 gm spherical silica …


Passive Interpretable Deep Learning From Cell Phone Activity For Optimal Patient Care, Pelin Ayranci Aug 2022

Passive Interpretable Deep Learning From Cell Phone Activity For Optimal Patient Care, Pelin Ayranci

Dissertations

The majority of individuals in need of mental healthcare fail to seek it, and the diagnosis of those who do is driven predominantly by the patient's subjective self-assessment. There is a need for mental illnesses trackers that measure psychological and physiological symptoms and provide alerts and interpretable data for therapeutic interventions. We present a system that complements existing protocols to detect distress in mental health, passively monitor patients, and quickly alert authorized parties on possible mental health distress. We evaluate modeling a person's mental health from the sensors and activity logs of her/his cell phone using logistic regressions, LSTM, and …


Parameter Selection In Fully Homomorphic Encryption Schemes And Fhe Applications, Cavidan Yakupoglu Aug 2022

Parameter Selection In Fully Homomorphic Encryption Schemes And Fhe Applications, Cavidan Yakupoglu

Dissertations

Quantum computing has been gaining momentum as a result of recent technological advances. Existing cryptographic systems rely on the difficult problems that can be solved by sufficiently powerful quantum computers. As the quantum age approaches, the desire to discover new difficult problems that cannot be solved by quantum systems has increased. Lattice-based cryptography is a prominent tool for the post-quantum era that facilitates the implementation of encryption systems for practical applications.

The Learning with Error (LWE) and Ring-LWE problems introduce new lattice hardness assumptions that have been incorporated into public-key cryptosystems to facilitate the implementation of numerous privacy-enhancing applications. Fully …


Effect Of Fluid Penetration On The Damage Processes And Microseismicity Due To The Hydraulic Fracturing Of Rocks, Catarina Baptista-Pereira Aug 2022

Effect Of Fluid Penetration On The Damage Processes And Microseismicity Due To The Hydraulic Fracturing Of Rocks, Catarina Baptista-Pereira

Dissertations

The hydraulic fracturing is used when fluids are injected inside the matrices of rocks to allow the creation of new cracks while, the propagation of the existent cracks can also occur. This process has been widely used for the past decades in the deep earth energy sector which comprises four main subsectors: 1) recovery of geothermal resources, 2) CO2 and hydrogen sequestration; 3) wastewater and nuclear waste disposal, and 4) recovery of (non)conventional fluids. By creating new flow paths or enhancing the existing ones, the pores are allowed to connect and, thus, it increases the permeability of rocks. For …


Per- And Polyfluoroalkyl Substances (Pfas) Distribution In Contaminated Soils And Impact On Rhizosphere And Plant Microbiota, Boran Wang Aug 2022

Per- And Polyfluoroalkyl Substances (Pfas) Distribution In Contaminated Soils And Impact On Rhizosphere And Plant Microbiota, Boran Wang

Dissertations

This dissertation is a comprehensive study of the mechanisms controlling per- and polyfluoroalkyl substances (PFAS) transformations and their transport in the environment, PFAS effects on plant growth and microbial community changes are critical in preventing or attenuating PFAS mobility and in predicting potential human exposure routes. The overarching goal of this project is to evaluate the distribution of PFAS in plants exposed to mixed contaminants, and their effects on the rhizosphere and in planta microbial community This main goal is achieved through the following research objectives: (1) Field investigation of PFAS contamination in New Jersey, (2) PFAS partition in soil …


Importance Of Alkyl Substitution On The Molecular Architecture And Thermomechanical Performance Of Glassy Polybenzoxazine Networks, Bernardo L. Barea-López Aug 2022

Importance Of Alkyl Substitution On The Molecular Architecture And Thermomechanical Performance Of Glassy Polybenzoxazine Networks, Bernardo L. Barea-López

Dissertations

This dissertation aims to elucidate different aspects of network formation in different thermosetting polybenzoxazines and the implications on the final morphology, free volume, solvent ingress, and thermomechanical properties. This research is divided into five distinct fragments 1) benzoxazine monomer synthesis, 2) implications of the meta-substitution of the aniline species in the cured benzoxazine network, 3) effect of the cure protocol on meta-substituted aniline based benzoxazine matrices, 4) investigation of the utilization of different bisphenol species for the formation of novel and known benzoxazine networks, and 5) the elucidation of the cure-induced shrinkage of benzoxazine networks utilizing an improved method developed …


A Study Of Red Snapper (Lutjanus Campechanus) Ecology In The Northern Gulf Of Mexico And The Effect Of Variable River Outflow Using Stable Isotope Analysis Of The Food Web And Eye Lenses, Caitlin C. Slife Aug 2022

A Study Of Red Snapper (Lutjanus Campechanus) Ecology In The Northern Gulf Of Mexico And The Effect Of Variable River Outflow Using Stable Isotope Analysis Of The Food Web And Eye Lenses, Caitlin C. Slife

Dissertations

In the Mississippi Bight and surrounding waters, river outflow impacts the basal resources of the Red Snapper food web, altering carbon sources and impacting prey and predator isotopes. In this study, the impact of riverine outflow on nutrients, particulate organic matter (POM), and physical water parameters on Red Snapper and their food web was analyzed using stable isotope and stomach content analysis over 5 years. The Mississippi, Pearl, Pascagoula, and Mobile rivers were included in the analysis of river impact. The Mississippi and Mobile rivers were found to significantly impact nutrients and POM in the region. River outflow was also …


A Phenomenological Exploration Of The Lived Experience Of Military Spouses Of Veterans With Combat-Related Post-Traumatic Stress Disorder, Teresa W. Yambo Aug 2022

A Phenomenological Exploration Of The Lived Experience Of Military Spouses Of Veterans With Combat-Related Post-Traumatic Stress Disorder, Teresa W. Yambo

Dissertations

A phenomenological study was conducted to explore the essence of the experience of military spouses living with veterans with combat-related Post-traumatic Stress Disorder (PTSD). Husserlian phenomenology was chosen as the theoretical framework because it allowed a deeper understanding of the unfolding o f the spouses' day-to-day experience. A purposive sample of 14 spouses living with veterans with symptoms of PTSD participated in unstructured interviews. Data were analyzed using a modification of Colaizzi's method. Four major themes were identified from data analysis: Recognizing Life is No Longer the Same, Living with Unpredictability, Bearing the Burden, and Creating a New Life. Spouses …