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Articles 1531 - 1560 of 11544
Full-Text Articles in Entire DC Network
What Is The Best Way To Develop A Website?, Nahomy Julieta Calderon Lopez
What Is The Best Way To Develop A Website?, Nahomy Julieta Calderon Lopez
Theses
This project is centered around empowering individuals with the knowledge and resources necessary for effective website development. The culmination of Thesis/Directed Project II is a user-friendly website designed to distill and present the insights gathered during Thesis/Directed Project I. This website features an engaging interactive quiz, aimed to help the users identify what is the best way, for them, to develop a website. The quiz has multiple questions, each with three distinct response options, the quiz guides users towards one of three key approaches for website development: Website Builders, Content Management System platforms, or Coding. Upon receiving their quiz results, …
Robust Weakly Supervised Learning For Real-World Anomaly Detection, Hitesh Sapkota
Robust Weakly Supervised Learning For Real-World Anomaly Detection, Hitesh Sapkota
Theses
Anomaly detection has attracted increasing attentions from diverse domains, including medicine, public safety, and military operations. Despite its wide applicability, anomaly detection is inherently challenging as abnormal activities are usually rare and unbounded in nature. This makes it difficult and expensive to identify all potential anomalous events and label them during the training phase so that a detection model can provide robust prediction on unseen event data. Unsupervised and semi-supervised learning models have been explored, which achieve a decent detection performance with no or much less annotations. However, these models can be highly sensitive to outliers (\ie normal samples that …
Using Ml To Understand The Factors Impacting Diabetes In Diabetic Patients, Marwa Ahmed Almarzooqi
Using Ml To Understand The Factors Impacting Diabetes In Diabetic Patients, Marwa Ahmed Almarzooqi
Theses
Diabetes, a well-known medical condition since ancient times, has become a prevalent and significant health concern in recent decades. The rising incidence of diabetes has necessitated early diagnosis and effective treatment. Machine learning (ML) innovations have revolutionized disease prediction and decision-making by utilizing massive datasets. This study aims to develop and compare machine learning (ML) models for diabetes prediction using a preprocessed dataset of 532 instances obtained from Kaggle. Important variables included in the data set are Pregnancies, Glucose, Blood Pressure, Skin Thickness, Insulin, BMI, Diabetes Pedigree Function, Age, and Outcome. The correlation analysis revealed a strong positive association between …
Dual-Site Photoplethysmography Sensing For Noninvasive Continuous-Time Blood Pressure Monitoring Using Artificial Neural Network, Anas Mohmmad Rabab’Ah
Dual-Site Photoplethysmography Sensing For Noninvasive Continuous-Time Blood Pressure Monitoring Using Artificial Neural Network, Anas Mohmmad Rabab’Ah
Theses
Millions of people worldwide struggle from high blood pressure, often known as hypertension, and it is a major health concern that can lead to serious cardiovascular diseases, including heart attacks and many other consequences. Blood pressure monitoring that is reliable and accurate is crucial to the detection and management of hypertension. Although invasive techniques, such as arterial catheterization, are considered to be the most accurate means of evaluating blood pressure, they can be painful, time-consuming and carry a risk of complications.
/="/">This thesis presents the development of a real time non-invasive blood pressure monitoring system based on commercially available …
A Numerical Investigation Realizing The Flow Structure And Heat Transfer Performance Of The Potential Impinging Jets, Mohammed Sami Uddin Khan
A Numerical Investigation Realizing The Flow Structure And Heat Transfer Performance Of The Potential Impinging Jets, Mohammed Sami Uddin Khan
Theses
The demand for improvement in the performance of gas turbines has led to the consideration of flows at increasingly high temperatures, but this introduces challenges in terms of maintaining their structural integrity and preventing overheating. To respond to these challenges, gas turbine manufacturers have turned to internal cooling, and jet impingement provides an effective solution for cooling the leading edge of the blades of gas turbines. In this study, the author numerically simulated the cooling performance of the leading edge of the blades of a gas turbine under constant heat flux by using five configurations of jet impingement: a steady …
Upgrading Biomass To Bio-Oil: Catalytic Hydrodeoxygenation And Pyrolysis Of Vanillin And Anisole Biomass Model Compounds, Ahmad J. Yaghi
Upgrading Biomass To Bio-Oil: Catalytic Hydrodeoxygenation And Pyrolysis Of Vanillin And Anisole Biomass Model Compounds, Ahmad J. Yaghi
Theses
The purpose of this project is to investigate capacity of selected formulations of catalysts toward the hydrodeoxygenation (HDO) of biomass model compounds in the gas phase with the underlying aim to produce hydrocarbon cuts that can be directly used as transportation fuels. The first part of this project is to devoted to illustrate procedures for the synthesis of potent (HDO) catalysts. Synthesized catalysts encompass nickel (Ni), cobalt (Co) and palladium (Pd) supported on zeolite, cerium oxide (CeO2) or alumina (Al2O3). Various characterization techniques such as X-ray Diffraction (XRD), Temperature Programmed Reduction (TPR) were deployed …
How Will The Future Of The Dubai Virtual Commercial City Reshape The Policing Sector?, Shamma Ghanimi Mohammad Al Marri
How Will The Future Of The Dubai Virtual Commercial City Reshape The Policing Sector?, Shamma Ghanimi Mohammad Al Marri
Theses
The uncertainty of lack of policing involvement increases the worries and concerns and lack of trust of the potential virtual residents of Dubai Virtual Commercial City. The purpose of this research is to mitigate and minimize virtual crimes and expand safety and security in the virtual world. Using various future foresight tools to bring new solutions and recommendations to support law enforcement to ensure proactive policing in the virtual world. The results of the study show a clear correlation between the lack of rules and regulations and new emerging virtual crimes. Moreover, it also showcases the recent international effort by …
Deaf Communication Awareness, Emily Grace Cruz Amponin
Deaf Communication Awareness, Emily Grace Cruz Amponin
Theses
Whenever a Deaf or Hard-of-Hearing person or a group of deaf people converse with people who aren’t deaf, they know various communication approaches such as writing notes on paper or phones, basic gestures, talking clearly, or lip reading if they grew up with an oral method. A Deaf or Hard-of-Hearing person may have hearing devices: hearing aids or cochlear implants, or they have none of these hearing devices. The Deaf and Hard-of-Hearing people are trying and willing to communicate with their relatives, employees, customers, classmates, or instructors. However, people do not look at a Deaf or Hard-of-Hearing person or a …
Improving The Environmental Density Mapping Of Galaxies At Redshift 0.5 < Z < 1.7 Using The Candels-Herschel Environmental Spectroscopic Survey (Chess), Jitrapon Lertprasertpong
Improving The Environmental Density Mapping Of Galaxies At Redshift 0.5 < Z < 1.7 Using The Candels-Herschel Environmental Spectroscopic Survey (Chess), Jitrapon Lertprasertpong
Theses
Numerous studies show that galaxies in dense environments often exhibit a decline in their star formation rates (SFR) which can be observed in the SFR-density relation, referred to as "environmental quenching." However, at redshift z > 1, there exists tension among different studies regarding the evolution of the SFR-density relation. One source of this uncertainty arises from the lack of spectroscopy of galaxies at z > 1, which can result in inaccurately estimating the environmental density of galaxies in extragalactic fields. To address this issue, we present the CANDELS-Herschel Environmental Spectroscopic Survey (CHESS) designed to increase the spectroscopic completeness in CANDELS COSMOS, …
Deep Reinforcement Learning And Hybrid Approaches To Solve Multi-Vehicle Combinatorial Optimization Problems, Prashant Sankaran
Deep Reinforcement Learning And Hybrid Approaches To Solve Multi-Vehicle Combinatorial Optimization Problems, Prashant Sankaran
Theses
Combinatorial optimization problems are an important class of problems often encountered in the real world involving a combinatorially growing set of feasible solutions as the problem size increases. Since exact approaches can be computationally expensive, practitioners often use approximate approaches such as metaheuristics. However, sophisticated approximate methods that yield high-quality solutions require expert help to handcraft or fine-tune the solution process to suit a given problem distribution. In recent years, artificial intelligence (AI) approaches that involve learning from data without being explicitly programmed have shown tremendous success at various challenging tasks, like natural language processing and autonomous driving. Therefore, solving …
Analysis Of The Aerosol Composition, Its Deposition And Uptake In Electronic Cigarette Users, Chamodhi Ravihansi Polgampola Ralalage
Analysis Of The Aerosol Composition, Its Deposition And Uptake In Electronic Cigarette Users, Chamodhi Ravihansi Polgampola Ralalage
Theses
Electronic cigarettes (e-cigarettes) generate aerosol (particles in a gas matrix) by vaporizing the e-liquid, consisting of propylene glycol (PG), glycerol (GL), nicotine, and other additives. Aerosol enters the respiratory tract (RT) of the user, where part of it is deposited, while the rest is exhaled. Compounds in the gas and particle phase have different deposition mechanisms in the RT, thus determining the location of deposition. The location of deposition and amount of a compound will influence the biological response in the body. Identifying the composition of each constituent in the gas phase and particle phase would enhance the understanding of …
Synthesis Of Sustainable Polyethylene Mimics Through Ring-Opening Metathesis Polymerization, Brandon Zhang
Synthesis Of Sustainable Polyethylene Mimics Through Ring-Opening Metathesis Polymerization, Brandon Zhang
Theses
Polyethylene is the most produced plastic in the world due to its versatility and ubiquitous applications. The production and use of polyethylene however pose sustainability issues such as using petroleum resources and the persistence of its waste in landfills and oceans. Though not every issue can be addressed simultaneously, the more critical issue is to develop a polyethylene that can degrade within a few months instead of hundreds of years. A possible solution is to synthesize a polyethylene mimic, consisting of long chain of methylene groups with an occasional input of a functional group while maintaining similar properties as that …
A Morphological Analysis Of High Redshift Galaxy Mergers Using Machine Learning, Caitlin Rose
A Morphological Analysis Of High Redshift Galaxy Mergers Using Machine Learning, Caitlin Rose
Theses
Galaxy mergers play an important role in the formation and evolution of galaxies. However, identifying mergers can be difficult, especially at high redshift, due to effects such as: cosmological surface brightness dimming, poor resolution of images, the shifting of optical light to the infrared, and the inherently more irregular morphologies of younger galaxies. The advent of JWST and new deep, high-resolution near-infrared NIRCam images from the Cosmic Evolution Early Release Science Survey (CEERS) will help mitigate some of these problems to better detect high redshift merger features. Simultaneously, sophisticated machine learning analysis techniques have the po- tential to more accurately …
Analyzing The Impact Of Process-Oriented Technology In Programming Education, Kate Arendes
Analyzing The Impact Of Process-Oriented Technology In Programming Education, Kate Arendes
Theses
Currently, there exist several factors in programming education that deter novice programmers. Computer science students are often significantly penalized for programs that do not compile, reflecting how current teaching standards are focused on the product of the student’s efforts, rather than the independent pieces of code that would otherwise execute properly. Novice programmers struggle with interpreting error messages that identify where and why a program failed, but are written with the assumption that the author already has mastered the fundamental concepts that they are trying to implement. In the classroom, educators may show presentations with pre-written code or perform live …
Population Inference Of Non-Spinning Eccentric Binary Black Holes, Muhammad Zeeshan
Population Inference Of Non-Spinning Eccentric Binary Black Holes, Muhammad Zeeshan
Theses
Compact binary mergers produce gravitational waves (GWs), which carry information about their sources. The LIGO-VIRGO-KAGRA network detects GWs signals, and we use those measurements to infer BBHs population properties such as mass, spin, and eccentricity distribution in the universe. Binary component masses and spins are well-known to provide insight into the source formation, evolution, and environment. Unlike these two, eccentricity is a unique and measurable signature of strongly interacting events. Unfortunately, most available parameter estimation results for GWs signals do not include eccentricity: models for binary merger with eccentricity have minimal availability and parameter coverage. Therefore, to assess how well …
Purification And Detection Of Antibiotic-Resistant Bacteria From Whole Blood With Nano-Sieve, Xinye Chen
Purification And Detection Of Antibiotic-Resistant Bacteria From Whole Blood With Nano-Sieve, Xinye Chen
Theses
Life-threatening bloodstream infections (BSI), such as sepsis, mainly caused by the body’s syndromic response to pathogen infection, are a major public health concern, leading to ~11 million deaths each year. The identification of sepsis presents significant challenges in the diagnostic process, as the isolation of low concentration pathogens from bodily fluids (e.g., human blood) is extremely demanding, and typically relies on time-consuming and complicated isolation processes. Therefore, this work aims to explore the potential of microfluidics as a powerful tool for rapid purification and concentration of antibiotic-resistant bacteria (ARB) from blood samples, meanwhile developing a molecular diagnostic technology by combining …
Addendum To Ap Art History Curriculum: Impressionism And Its Female Painters, Julie Short
Addendum To Ap Art History Curriculum: Impressionism And Its Female Painters, Julie Short
Theses
This project seeks to add depth to Content Area 4 of the AP Art History Curriculum by supplementing the study of Impressionism as a whole, as well as including the study of the role of women artists in the movement and their contributions to Impressionism and Modern art in general. The goal is to provide students with greater historical context and formal analysis of major Impressionist works, as well as to expose students to the accomplishments of more female artists.
Optimized Generative Pre-Training Eeg To Sentiment Classification (Ogptsc), Amira Hassan
Optimized Generative Pre-Training Eeg To Sentiment Classification (Ogptsc), Amira Hassan
Theses
This research aims to revolutionize electroencephalogram (EEG) analysis by proposing and developing an innovative method for sentiment classification, introducing the groundbreaking "Optimized Chat Generative Pre-training EEG to Sentiment Classification (OGPTSC)." This novel approach harnesses the power of Generative Pre-training (GPT2) as the vocabulary language model while utilizing an intelligent hyper-parameter selection method to fine-tune and optimize the model's performance. Extensive testing is conducted on a widely recognized dataset to evaluate the OGPTSC's prowess, demonstrating its exceptional capabilities in sentiment classification. Notably, this research extends its scrutiny beyond the OGPTSC by applying the same hyper-parameter selection technique to well-established models such …
Differential Movement Response Of Silver Carp To Individual And Environmental Conditions In The Illinois And Wabash Rivers, Taylor Mogavero
Differential Movement Response Of Silver Carp To Individual And Environmental Conditions In The Illinois And Wabash Rivers, Taylor Mogavero
Theses
Knowledge about the spatial dynamics of invasive species is essential to predict, restrict, and prevent their spread to new areas. Invasive Silver Carp (Hypophthalmichthys molitrix) populations are expanding on all fronts and are threatening to establish in the Laurentian Great Lakes. Understanding their movement patterns is vital to prevent their populations from spreading further and to improve management efficiency. This study looked at multiple factors to understand which have an influence on the movement of invasive Silver Carp in two different river systems. Chapter 1 examined the relationship between individual and environmental factors—including length, body condition, temperature, and discharge—and movement …
Agency And Matrilineal Ties; Queen Victoria And Her Daughters, Lydia Catherine Pensel
Agency And Matrilineal Ties; Queen Victoria And Her Daughters, Lydia Catherine Pensel
Theses
This study examines the impact of Queen Victoria's political and diplomatic power on the marriages of her five daughters. Queen Victoria's influence on her daughters' marriages highlights her enduring behind the scenes power despite some claims to the contrary. Unlike the sons’ marriages, where considerable outside political influences brought to bear, the daughters’ marriages were almost solely influenced by Victoria. Examining the Queen's five daughters offers an alternate view of her motherhood while simultaneously exploring the diverse gender dynamics between her and her daughters.
Comparing Various Staff Training Modalities Within Applied Behavior Analysis, Jason Joseph Starr
Comparing Various Staff Training Modalities Within Applied Behavior Analysis, Jason Joseph Starr
Theses
Behavioral skills training (BST) has continuously demonstrated to be an effective means of training others in new skills and techniques. A limitation of BST, however, is that it requires extensive time and a professional trainer. Currently, there is a lack of literature comparing BST to alternative and effective training methods that require less resources, such as written directions and video modeling. Therefore, the purpose of this study was to determine which training modality (i.e., behavior skills training, written directions, or video modeling) was most effective at increasing staff members' correct implementation of applied behavior analysis procedures, specifically forward chaining, shaping, …
Reconsidering Fertility Imagery In The Murals Of Teotihuacan, Grace T.O. Ray
Reconsidering Fertility Imagery In The Murals Of Teotihuacan, Grace T.O. Ray
Theses
This thesis explores fertility imagery in the Tepantitla Paradise and Tetitla Goddess murals of ancient Teotihuacan in Mexico. In the beginning of the 1970s, these murals had been utilized as case studies in the assertion for the existence of a central female deity known as the Great Goddess, based on an abundance of fertility imagery within the scenes. Scholarship in the field has since discredited this theory, but the deity in the murals remains unidentified. In addition, the city does not offer surviving written texts to provide context for cosmological beliefs, only Teotihuacan’s vibrant material culture was left behind after …
A Familiar Unknown, Samantha Sonnenfeld
A Familiar Unknown, Samantha Sonnenfeld
Theses
This thesis examines how using glass can challenge perceptions of small moments and their importance by overlaying stellar imagery on everyday spaces to imbue notions of investigative leisure with cosmic importance. I use many types of glass to reinterpret what function can mean and how objects can create lenses for understanding each other, our universe, and ultimately ourselves. Looking at where conversations are shared and introspection blossoms, I find that objects hold their own gravity and can draw us into a moment that sets the scene for solo or group development.
Characterizing And Detecting Software Attack Surface Components, Sara Moshtari
Characterizing And Detecting Software Attack Surface Components, Sara Moshtari
Theses
The notion of Attack Surface refers to the critical points on the boundary of a software system which are accessible from outside or contain valuable content for attackers. The ability to identify attack surface components of software system has a significant role in effectiveness of different security analysis approaches such as vulnerability analysis. Most prior works focus on the security analysis approach and use an approximation of attack surfaces. There have not been many attempts to create a comprehensive list of attack surface components. Although limited number of studies have focused on attack surface analysis, they defined attack surface components …
Text Restoration In Palimpsested Historical Manuscripts Using Deep Learning Methods, Anna Starynska
Text Restoration In Palimpsested Historical Manuscripts Using Deep Learning Methods, Anna Starynska
Theses
Historical palimpsests are manuscripts that have more than one layer of text, where the original text was erased, and subsequent layers overwritten. For many centuries, palimpsested text of ancient manuscripts was considered impossible to recover. Nowadays, with new technology, such as multispectral imaging, under some portion of electromagnetic spectrum illumination, the overwritten text can become visible again. This peculiar property of faded ink and some traditional signal processing methods had already helped recover text from numerous manuscripts. Nevertheless, even showing the best performance, existing methods can only enhance the visibility of the text but not eliminate the effects of occlusion …
Role Of Institutional Quality On Bilateral Exports, Sumaiya Binta Islam
Role Of Institutional Quality On Bilateral Exports, Sumaiya Binta Islam
Theses
This paper empirically examines the effect of institutional quality on trade considering the gravity equation model. Taking data for 252 countries covering the period of 19 years from 1996 to 2014, the research has been done with two stage regression analysis. In the first stage, we estimate the effect of gravity factors that either benefit or hinder trade along with OECD membership and Linder’s effect by Poisson-Pseudo-Maximum-Likelihood (PPML) estimator with importer- time, and exporter- time fixed effects. Taking the estimated exporter- time fixed effects from the first stage, we regress it with institutional variables in the second stage by OLS …
Understanding Natural Resource Conflicts As Causes And Consequences Of The Transition Towards Ecosystem Management: A Case Study Of The Shawnee National Forest In Southern Illinois, Usa, Nicole Mooar
Theses
Since the 1980s, approaches to managing forest resources in the US and around the world have been shifting from the conventional sustained yield approach towards ecosystem management. Ecosystem management is a resource management paradigm that seeks to employ a collaborative and multidisciplinary approach to landscape scale conservation, as well as the integration of socio-economic and biophysical considerations with the overall goal of enhancing the health and resilience of coupled social-ecological systems. While the role of natural resource conflicts as drivers of the transition towards ecosystem management has received some research attention, the potential roles of ecosystem management in emerging natural …
The Future Of Deep Fakes: Analyzing The Potential Future Consequences Of The Widespread Use Of Deepfakes On The Policing Sector, Maryam Salem Alshamsi
The Future Of Deep Fakes: Analyzing The Potential Future Consequences Of The Widespread Use Of Deepfakes On The Policing Sector, Maryam Salem Alshamsi
Theses
In today’s world there is a growing uncertainty in terms of the truthfulness of what we see and hear. People digest a great amount of information throughout the day using their devices, yet the quality and credibility of content is in question. People question if we are experiencing and perceiving the same reality at this point. This issue is not novel, however, it has progressed and developed to a level of realism that deceives people and affect their comprehension of information. Rapid technological advancement has raised the concern of what is referred to as “Deepfakes”, a machine learning technique that …
Amulet: Addressing Emotional Abuse, Wentao Sun
Amulet: Addressing Emotional Abuse, Wentao Sun
Theses
In a world grappling with the scourge of psychological violence, particularly gaslighting, in intimate relationships, the "Amulet" project presents a visionary design solution. Positioned at the intersection of emotional abuse and technology, the project conceptualizes Amulet as a biometric system embodied in a hypothetical skin tattoo and extendable across digital devices. The Amulet project explores the potential role of design in challenging and addressing this insidious form of abuse. The core elements of the project include designing a unique brand identity for Amulet and the creation of a user-friendly interface that offers an intuitive and empowering user experience. The designed …
Biomimetic Aerosol Exposure System For In Vitro Human Airway Exposure Studies, Samantha Emma Sarles
Biomimetic Aerosol Exposure System For In Vitro Human Airway Exposure Studies, Samantha Emma Sarles
Theses
Tobacco use remains the number one cause of preventable death in the United States, disproportionately affecting residents of rural areas, people who are financially disadvantaged, and adults who identify as gay, lesbian, or bisexual. The impact that electronic cigarettes will have on public health is not yet fully understood. Combinations of electronic cigarette products, human airway geometries, and user behaviors create barriers to understanding products’ interaction with the human airway and their health effects. Current in vitro emissions systems, also called smoking robots, lack biomimicry, use unrealistic flow conditions, produce unrealistic aerosol dose, and provide inaccurate bio-mechanical cues to cell …