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Articles 51811 - 51840 of 1114128
Full-Text Articles in Entire DC Network
A Rude Awakening : Divine Disruption And Human Dynamics In Revival And Spiritual Renewals, Ruben Cervantes Jr.
A Rude Awakening : Divine Disruption And Human Dynamics In Revival And Spiritual Renewals, Ruben Cervantes Jr.
ATS Dissertations
No abstract provided.
Holy Art : Reclaiming The Visual Arts For Worship And Spiritual Formation, Joey Fitzgerald
Holy Art : Reclaiming The Visual Arts For Worship And Spiritual Formation, Joey Fitzgerald
ATS Dissertations
No abstract provided.
A Remote Sensing Analysis Of Eastern Hemlock Decline In Hemlock Woolly Adelgid-Infested Stands In New Hampshire From 2000 – 2022, Molly Cahill
Master's Theses and Capstones
Eastern hemlock (Tsuga canadensis) is an ecologically-important tree species in the forests of eastern North America. This species is currently declining throughout much of its range due to the invasive insect species hemlock woolly adelgid (Adelges tsugae) and elongate hemlock scale (Fiorinia externa). The introduction of these insects in the region, in addition to drought, development, and native insect species, threatens the persistence of eastern hemlock on the eastern landscape. This study endeavored to use satellite remote sensing to assess eastern hemlock decline in New Hampshire currently and over time from 2000 to 2022. Several classifications were performed in order …
Beyond Information Literacy: Exploring Ai's Impact On Labor In Academic Libraries, Nicole Murph
Beyond Information Literacy: Exploring Ai's Impact On Labor In Academic Libraries, Nicole Murph
Librarian Publications & Presentations
This semi-autobiographical essay explores the impact of artificial intelligence (AI) on academic libraries and in particular, information literacy instruction. In exploring the ethical implications of AI and the importance of (re)imagining how AI will affect labor in academic libraries, the author utilizes sociological and historical approaches. The author also reflects on the parallels between past and current technological disruptions and transformations.
Car Damage Detection Using Deep Learning, Rahul Varma Indukuri Sr.
Car Damage Detection Using Deep Learning, Rahul Varma Indukuri Sr.
Electronic Theses, Projects, and Dissertations
Growing vehicle usage has resulted in a notable increase in road accidents, so it is imperative to have effective systems for identifying and evaluating vehicle damage. This work aims to create a computer vision and deep learning-based automated car damage detection system. This project's main goal is to develop a model that, using visual cues, can categorize car photos as either damaged or undamaged.
The algorithm operates in two steps: first, determining whether the picture features an automobile; then, it classifies the state of the car—damaged or undamaged. We thus employ the InceptionV3 model for damage classification and the MobileNet …
Mechanistic Investigation Of Ring-Opening Polymerization Of Polycaprolactone Using Tin(Ii) Catalysts: Ligand Effects And Biomedical Applications, Eva-Larue M. Barber
Mechanistic Investigation Of Ring-Opening Polymerization Of Polycaprolactone Using Tin(Ii) Catalysts: Ligand Effects And Biomedical Applications, Eva-Larue M. Barber
Honors Scholar Theses
This research explores the mechanistic aspects of ring-opening polymerization (ROP) of ε-caprolactone (CL) to produce polycaprolactone (PCL), a biodegradable polymer widely used in biomedical applications. The study investigates how light exposure and catalyst concentration influence polymerization efficiency, using tin(II) 2-ethylhexanoate [Sn(Oct)₂] as the catalyst in a non-polar toluene solvent at 90 °C. Reactions were conducted under either ambient light or black light bulb (BLB) illumination, with monomer-to-catalyst ratios of 1:1 and 200:1.
Proton nuclear magnetic resonance (¹H NMR) spectroscopy was used to analyze conversion efficiency by tracking the disappearance of monomer signals and appearance of characteristic PCL peaks. Results revealed …
Analysis Of The Effects Of Septic Leach Field Failure On Groundwater Contamination, Catherine Peng
Analysis Of The Effects Of Septic Leach Field Failure On Groundwater Contamination, Catherine Peng
Honors Scholar Theses
On-site septic treatment systems can be considered as one of the largest potential sources of groundwater pollution and contamination in the world, due to their widespread proliferation and variety of contaminants in wastewater. This project aimed to investigate the hypothetical scenario of a septic leach field failure on groundwater contamination through the formation of a septic system plume. The , and the expected values for the septic system plume were calculated. A MODFLOW groundwater model of the septic system was developed, and the solute transport simulator, MT3D-USGS was used to solve the model. Comparing the model results to the calculated …
Nurse-Physicians: From Nursing School To Practicing Physician, Tobias Fraedrich
Nurse-Physicians: From Nursing School To Practicing Physician, Tobias Fraedrich
Honors Scholar Theses
Nurse-physicians are healthcare professionals who have obtained both a nursing degree and a medical degree, transitioning from Registered Nurse (RN) or Advanced Practice Registered Nurse (APRN) to a licensed physician, including Medical Doctor (MD), Doctor of Osteopathic Medicine (DO), or Naturopathic Doctor (ND). Research on this phenomenon conducted to date is limited to a single study. Some nonresearch sources indicate a small presence of this topic online. Yin’s (2018) descriptive, multiple-case study approach was employed to investigate the phenomenon using oral history interviews and a survey of the online platform YouTube as data sources. For the intention of pursuing this …
Climbing And Crossing Career Ladders: An Analysis Of Job Mobility Trends, Leon Nguyen
Climbing And Crossing Career Ladders: An Analysis Of Job Mobility Trends, Leon Nguyen
Honors Scholar Theses
As the job market experiences turbulence, understanding how different people progress in their career trajectories can aid in understanding why certain professional disparities exist between demographics. Studying job mobility in the United States is critical to understanding patterns that could be indicative of systemic behaviors. Prior literature has focused on job mobility based on income, industry, and/or older data. We focus on encoding job mobility patterns of Indian immigrants in the U.S. labor force using webscraped LinkedIn data from 2019 and measuring various job changes through mapping job titles to a five-point scale and comparing string values. We also utilize …
The Impact Of Learning Environment Modifications On Physical And Mental Health, Marley J. Nissenbaum
The Impact Of Learning Environment Modifications On Physical And Mental Health, Marley J. Nissenbaum
OTD DEx Reports - College of Pharmacy and Health Sciences
University students are at heightened risk of chronic pain and mental health challenges due to academic stress, poor sleep, and inadequate ergonomics in classroom settings. Musculoskeletal pain is especially common among students in healthcare fields, including occupational therapy, where the demands of the profession increase the importance of proper body mechanics. Despite being taught ergonomic principles, many students lack access to ergonomically appropriate learning environments. This study aims to explore how ergonomic modifications and education affect the physical and mental well-being of occupational therapy graduate students. A four-week randomized control trial was conducted with 19 students from Western New England …
Unlimbited Wellness ©: Exploring Prosthetic Use: Navigating The Journey Of Embodiment Through Occupational Therapy Intervention, Jordyn A. Robertson
Unlimbited Wellness ©: Exploring Prosthetic Use: Navigating The Journey Of Embodiment Through Occupational Therapy Intervention, Jordyn A. Robertson
OTD DEx Reports - College of Pharmacy and Health Sciences
This doctoral capstone project explores prosthetic abandonment and embodiment with the goal of enhancing prosthetic acceptance through education, advocacy, and psychosocial support. The student researcher implemented a series of educational modules within Unlimbited Wellness©, a telehealth program founded by Dr. Debra Latour, in collaboration with Handspring Clinical Services. The researcher delivered these modules through structured focus groups using an occupational therapy framework, designed to support individuals with upper limb absence (ULA). The researcher included participants over the age of eighteen years of age, with any level of ULA currently using prosthesis, or who are currently in the process …
2025 Commencement Program, Columbia College Chicago
2025 Commencement Program, Columbia College Chicago
Commencement Programs
The commencement program of the 2025 Columbia College Chicago graduation ceremonies.
Stability Analysis Of Turbulent Fluid Flow, Adam D. Schroeder
Stability Analysis Of Turbulent Fluid Flow, Adam D. Schroeder
Mathematics, Statistics, and Computer Science Honors Projects
Hydrodynamic stability refers to the study of when and how laminar flows transition to turbulence. This includes investigations of the mechanisms of transition, as well as the classification of known flow configurations as either stable or unstable and the identification of critical values of flow parameters at which this bifurcation occurs. In this thesis, we introduce the mathematical theory behind continuum mechanics and fluid dynamics as well as some tools from the study of dynamical systems. We apply these concepts to the linear stability analysis of zero pressure gradient flat plate flow via numerical simulations in OpenFOAM, discussing both the …
Drug-Target Binding Affinity Prediction With Graph-Based Models: The Impact Of 3d Structural Information, Angel Antonio Peredo
Drug-Target Binding Affinity Prediction With Graph-Based Models: The Impact Of 3d Structural Information, Angel Antonio Peredo
Theses and Dissertations
Drug–target affinity (DTA) prediction is a critical step in accelerating drug discovery and reducing its associated costs. Existing computational approaches often employ one-dimensional protein sequences or two-dimensional molecular graphs, which can overlook important three-dimensional (3D) structural features. The present study investigates whether incorporating 3D information of both proteins and ligands can yield more meaningful representations for binding affinity prediction. Specifically, Graph Transformers (GT) are utilized, and the integration of Equivariant Graph Neural Networks (EGNN) is explored to preserve and leverage spatial information during learning.
Using the CrossDocked2020 dataset, which provides protein structures in Protein Data Bank (PDB) format, proteins and …
Evaluating Structural Response Of Steel I-Girder Bridges Under Different Support Conditions: Construction Loading In Skewed Straight And Thermal Loading In Horizontally Curved Configuration, Bikesh Sedhain
Theses and Dissertations
Skewed and horizontally curved steel I-girder bridges are commonly designed and constructed to connect existing roadways and navigate obstacles in densely populated areas. However, these bridges can introduce significant challenges to bridge design and analysis, including complex lateral movements and torsional effects. Simplified support representation techniques that are commonly adopted in analysis and design may not accurately capture these effects, which lead to potential misestimations of bridge responses. This research aims to evaluate skewed and curved steel I-girder bridges for complicated loading and support conditions – skewed integral abutment bridges were studied during pre-composite deck placement and horizontally curved bridges …
Porous Geopolymer Composite For Geotechnical Applications, Karla Viviana Sierra Flores
Porous Geopolymer Composite For Geotechnical Applications, Karla Viviana Sierra Flores
Theses and Dissertations
This research investigates the development of a porous geopolymer cement grout for soil grouting applications, aiming to reduce carbon emissions associated with Portland cement while maintaining critical performance characteristics such as strength and permeability. Class F fly ash and metakaolin were used as aluminosilicate precursors, activated by sodium silicate and sodium hydroxide solutions. The addition of hydrogen peroxide served as a foaming agent to introduce porosity by creating a thermodynamic reaction that releases oxygen gas during mixing. Compressive strength, porosity, and hydraulic conductivity were evaluated, with results showing that metakaolin significantly increased compressive strength due to its smaller particle size …
Development Of A New Seismic Metamaterial For Passive Vibration Control Of Civil Structures, Shayan Khosravi
Development Of A New Seismic Metamaterial For Passive Vibration Control Of Civil Structures, Shayan Khosravi
Theses and Dissertations
Seismic metamaterials are engineered structures that control mechanical wave propagation through frequency bandgaps, making them useful for structural control and seismic hazard mitigation. This study introduces the Passive Friction Seismic Metamaterial Base Isolation (PFSMBI) system, which combines frequency bandgaps and solid friction energy dissipation to improve the seismic performance of civil structures. The PFSMBI consists of a lattice structure with identical cells connected by springs and dampers, shifting a building’s natural frequency away from earthquake excitations. A dynamic model analyzes the system’s absolute acceleration, drift responses, and base shear force, optimizing parameters such as frequency ratios, mass ratios, and the …
A Modern Prometheus: Frankenstein's Relevance In Our Modern Society, Amanda C. Partida
A Modern Prometheus: Frankenstein's Relevance In Our Modern Society, Amanda C. Partida
Theses and Dissertations
For over two hundred years Mary Shelley’s Frankenstein has been in the public consciousness. It took only five years for the first adaptation, Presumption; or the Fate of Frankenstein, to be staged in 1825. Since then, there has been at least one adaptation every decade, with Universal Studios’ 1931 Frankenstein as the most famous adaptation, which shows just how much Shelley’s novel of science and hubris has resonated with audiences for many years.
This thesis aims to connect the ever-changing scientific anxieties of society with the most well-known Frankenstein film adaptations. By focusing on four specific films Frankenstein (1931), …
Vibration-Based Algorithm For Diagnostic And Prognostic Condition Monitoring Of Railroad Bearings And Wheels, Jeffery Ray Pams
Vibration-Based Algorithm For Diagnostic And Prognostic Condition Monitoring Of Railroad Bearings And Wheels, Jeffery Ray Pams
Theses and Dissertations
Bearing and wheel failure accounts for the majority of equipment-related train derailments on US railroads. Current wayside monitoring systems have been insufficient in the prevention of catastrophic derailments prompting the rail industry to explore the possible integration of onboard condition monitoring systems into their rail operations. The University Transportation Center for Railway Safety (UTCRS) in partnership with Hum Industrial Technology, Inc., has developed a wireless onboard system intended for the condition monitoring of railroad bearings and wheels. This thesis presents the development, evaluation, and implementation of an algorithm designed to be used in conjunction with these systems to provide railroad …
Analysis And Modeling Of Porous Media Networks In Petroleum Reservoirs Through Microscale Thermography And Core Flooding, Alan Petrovich-Mar
Analysis And Modeling Of Porous Media Networks In Petroleum Reservoirs Through Microscale Thermography And Core Flooding, Alan Petrovich-Mar
Theses and Dissertations
Reservoir rocks are porous materials that are an important area of study since they are present in reservoir sites rich in crude oil. It is important to understand the spreading phenomena on the rock surface and through the porous structure during fluid flow through these porous materials. For a complex system like reservoir rocks, factors such as spatially varying chemical composition and topography, multidimensional porosity, temperature, humidity, and existing oil/water in the pores can affect wettability and be a detriment to oil recovery.
The interaction of core samples with different porosity and permeability with water after proper cleaning procedures and …
Synthesis And Characterization Of Composite Hydrogels For Tissue Engineering: An Investigation On Mechanical Properties And Biocompatibility, Ismael Lamas Jr.
Synthesis And Characterization Of Composite Hydrogels For Tissue Engineering: An Investigation On Mechanical Properties And Biocompatibility, Ismael Lamas Jr.
Theses and Dissertations
This study investigates the fabrication and characterization of Polyvinyl Alcohol (PVA)/agar double-network (DN) hydrogels for biomedical applications, focusing on mechanical strength, biocompatibility, and tissue engineering potential. Techniques like swelling ratio analysis and Fourier-transform infrared spectroscopy (FTIR), alongside antibacterial and cytotoxicity assays, were employed to evaluate the hydrogels' properties. Results show that increasing agar content enhances mechanical and physical properties, with swelling ratios increasing by 300% when agar makes up 6% of the hydrogel, compared to 140% without agar. A positive correlation was observed between agar concentration and compressive and tensile moduli. Load-relaxation rates, essential for viscoelastic properties, also improved with …
Development And Tribological Characterization Of Uhmwpe-Tin Composite Coatings Deposited By Electrostatic Spraying, Jarrod Keith Perez
Development And Tribological Characterization Of Uhmwpe-Tin Composite Coatings Deposited By Electrostatic Spraying, Jarrod Keith Perez
Theses and Dissertations
The increasing demand for inert, wear-resistant, cost-efficient, environmentally friendly, and low-friction coatings has driven extensive research into polymer-based solutions. Among these, ultra-high-molecular-weight polyethylene (UHMWPE) has emerged as a strong candidate due to its low density, anticorrosion properties, self-lubricating nature, affordability, and ease of processing. However, its low load-bearing capacity limits its widespread use in high-stress tribological applications. To overcome this limitation, this project investigates the development and characterization of UHMWPE composite coatings reinforced with titanium nitride (TiN) particles at varying concentrations (2.5, 5, and 10 wt%) to enhance their mechanical properties and wear resistance.
P-Adic Quantum Mechanics, Infinite Potential Wells, And Continuous-Time Quantum Walks, Nathaniel P. Mayes
P-Adic Quantum Mechanics, Infinite Potential Wells, And Continuous-Time Quantum Walks, Nathaniel P. Mayes
Theses and Dissertations
In this thesis, we introduce a p-adic version of the infinite potential well in quantum mechanics (QM). This model describes the confinement of a particle in a p-adic ball. We rigorously solve the Cauchy problem for the Schrödinger equation and determine the stationary solutions. The p-adic balls are fractal objects. By dividing a p-adic ball into a finite number of sub-balls and using the wavefunctions of the infinite potential well, we construct a continuous-time quantum walk (CTQW) on a fully connected graph, where each vertex corresponds to a sub-ball in the partition of the original ball. …
Camassa-Holm Type Equations And Multi-Peakon Solutions, Yonghong Chen
Camassa-Holm Type Equations And Multi-Peakon Solutions, Yonghong Chen
Theses and Dissertations
This thesis investigates the multi-peakon solutions of a class of Camassa-Holm type equations with quadratic nonlinearities, specifically focusing on the differential equation mt +θmu+ amxu+bmux = 0, where m = u−uxx, and θ, a, b are arbitrary constants. We derive the nonlocal form of the equation and explore its peakon dynamics, including the well-known Camassa–Holm, Degasperis–Procesi, and Holm–Staley b-family equations. By employing a practical computational approach, we analyze the N-peakon solutions and present the corresponding dynamical systems, particularly focusing on the two-peakon case. The results will …
Survival, Biofilm Formation, And Control Of Foodborne Pathogens In Hydroponic Systems, Sai Rithin Reddy Kothur Thirupathi
Survival, Biofilm Formation, And Control Of Foodborne Pathogens In Hydroponic Systems, Sai Rithin Reddy Kothur Thirupathi
Theses and Dissertations
The growing global population and increasingly unpredictable weather patterns have intensified the demand for sustainable food production methods. Hydroponics, a form of Controlled Environment Agriculture (CEA), has gained attention as a viable solution due to its efficient use of resources such as land and water. Although hydroponic systems are perceived as safer alternatives to conventional farming, recent foodborne outbreaks associated with these systems have raised significant public health concerns. This thesis research investigated the food safety risk in hydroponic, particularly the survival and persistence of foodborne pathogens. Chapters I and II provide a comprehensive overview of hydroponics and the microbial …
Implementing And Evaluating An Ai-Powered Visual Decision Support System To Improve Antibiotic Usage Among Physicians With A Built-In Early Warning System, Akua Sekyiwaa Osei-Nkwantabisa
Implementing And Evaluating An Ai-Powered Visual Decision Support System To Improve Antibiotic Usage Among Physicians With A Built-In Early Warning System, Akua Sekyiwaa Osei-Nkwantabisa
Theses and Dissertations
The widespread misuse and excessive prescription of antibiotics have played a pivotal role in the emergence and proliferation of antibiotic-resistant bacteria, posing a critical global public health crisis. Addressing this challenge necessitates innovative solutions that enhance antimicrobial stewardship. This study presents the development and implementation of a visual decision support system designed to monitor and optimize antibiotic usage among healthcare providers. The proposed system integrates advanced machine learning algorithms with real-time data analytics to provide a dynamic, evidence-based decision support tool. Specifically, a neural network model was developed after evaluating multiple machine learning approaches, including Random Forest, Logistic Regression and …
Mitigation Of Droughts And Floods From Conjunctive Water Resource Management Using Managed Aquifer Recharge (Mar): Experiments And Numerical Modeling, Sumiaya Amin Preota
Mitigation Of Droughts And Floods From Conjunctive Water Resource Management Using Managed Aquifer Recharge (Mar): Experiments And Numerical Modeling, Sumiaya Amin Preota
Theses and Dissertations
Water supply of Rio Grande Valley in South Texas has been impacted by intensified climate extremes such as droughts and floods. This research assessed the viability of conjunctive water resource management using Managed Aquifer Recharge (MAR) carbon-modified infiltration basins. Multiple environmental variables in the Arroyo Colorado watershed were investigated, i.e., (i) water availability- quantity of floodwater can be repurposed, (ii) storativity and suitability - capacity within the unsaturated aquifer and ideal locations for building infiltration basins, (iii) water quality- contaminant removal using active carbon/biochar.
Unappropriated flow and high magnitude flow (HMF) analysis indicated that excess floodwater can be a …
Cloning And Heterologous Expression Of Human Nachrs And A Unique Spider Venom Toxin, Christine M. Vega
Cloning And Heterologous Expression Of Human Nachrs And A Unique Spider Venom Toxin, Christine M. Vega
Theses and Dissertations
Drug development research has long focused on synthesizing novel therapeutics while overlooking isolation from naturally available sources. Recently, the discovery of the therapeutic effects of highly bioavailable animal venom caused the field of venom research to soar in popularity. Animal venom serves as a natural, sophisticated tool optimized over millions of years by evolution with the ability to bind to ion channels such as nAChRs, non-specific ligand-gated ion channels distributed throughout the human nervous system, with high selectivity and specificity. However, purifying individual venom toxins from crude venom is challenging due to its availability. Therefore, synthesizing large quantities of venom …
Adapting To The Digital Age: Information Management Strategies For Improving Customer Perceptions Of Digital Banking In Ghana, Crystal Frema Davis
Adapting To The Digital Age: Information Management Strategies For Improving Customer Perceptions Of Digital Banking In Ghana, Crystal Frema Davis
Electronic Theses and Dissertations
Mobile money services are crucial in the financial landscape of Ghana’s economy. Despite Ghana's successful Mobile Money Interoperability (MMI) project, significant disparities exist in digital banking service utilization. Using Design Science Research, this study examines customer hesitancy in digital banking adoption. The TIDE framework was developed by analyzing the information management practices and artifacts of MTN Mobile Money, Banks and reviewing the literature. It comprises three key pillars: Security Management, Customer Education, and Experience Enhancement. This framework aims to instill digital trust, improve service adoption and utilization, and promote financial inclusion and digital literacy. Expert reviews acknowledged its potential to …
Resilient Land Development Strategies For Hurricane-Prone Communities In Grand Bahama, Garrett Lieberg
Resilient Land Development Strategies For Hurricane-Prone Communities In Grand Bahama, Garrett Lieberg
Landscape Architecture Theses
This thesis explores resilient, off-grid land development strategies for hurricane-prone communities on Grand Bahama Island, with a focus on post-disaster housing, integrated stormwater management, and mangrove restoration. Designed in response to systemic failures during Hurricane Dorian, this project proposes a decentralized community model supported by modular container homes, solar power, and rainwater harvesting systems. Emphasis is placed on using nature-based solutions—especially the protective role of mangroves—to reduce flood risk and enhance long-term resilience. The site design integrates stormwater retention landscapes with ecological buffers, providing both environmental protection and community benefit. Drawing from interviews, local site conditions, and precedent studies, the …