Digital Commons Network^™

Individual And Organizational Challenges To Implementing Prolonged Exposure Therapy In The Military Health System: A Systematic Review Of Client And Provider Perspectives, Paris R. Cloutier

Honors Undergraduate Theses

Military veterans and active-duty service members face high rates of posttraumatic stress disorder (PTSD), a chronic and debilitating condition that is comorbid with other negative psychological and social outcomes. PTSD symptomology in military careers is attributed to unique organizational factors and risks both during and post-deployment. Delivering modern, effective PTSD treatments derived from evidence-based research to the military population is a multi-faceted effort. Among these interventions, prolonged exposure therapy (PE) is a safe and effective trauma-focused treatment for veterans. To yield higher rates of PE success, common challenges faced by both military clients and their clinicians that may be impairing …

Exploring The Integration Of Reggio Emilia-Inspired Practices In U.S. Early Childhood Settings, Petra K. Nguyen

Honors Undergraduate Theses

This thesis investigated how United States (U.S.) educators apply a Reggio-inspired approach in U.S. early childhood settings. The Reggio Emilia Approach is a specific early childhood strategy that sees children as capable humans with extraordinary potential. This study’s purpose was to research further and better understand how early childhood educators in U.S. classrooms implement Reggio-inspired practices. Through analyzing four selected articles that identified as implementing Reggio-inspired practices into U.S. early childhood settings, the thesis examined how each program implemented each of the seven components of the Reggio Emilia early childhood philosophy [the Image of the Child, The Hundred Languages of …

Need For Cognition, Empathy, And Self-Esteem As Predictive Factors Of Modern Media Selectivity, Alfredo J. Hurtado Jr.

Honors Undergraduate Theses

Personality traits often drive media selectivity, as individuals seek out specific types of media and media genres for gratification. To further understand selectivity in a modern context, this study examined the personality factors of need for cognition, self-esteem, and empathy in relation to engagement with social media, literature, music, podcasts, video games, and tabletop games, with their associated genres. Analyses of 328 participants revealed that personality traits provided minimal to mild influence in media and genre selection, suggesting that the mechanisms behind media selection are comprised of other psychological and sociological factors.

Identifying Quality Hispanic Children’S Literature For Use In Kindergarten Through Second Grade, (2000-2024), Alexandra Isabel Serrato

Honors Undergraduate Theses

This study focuses on identifying quality Hispanic children's literature suitable for use in kindergarten through second grade from 2000 to 2024. It aims to explore key characteristics that define high-quality literature in this genre, considering cultural relevance, educational value, linguistic accuracy, and representation of diverse Hispanic experiences. By reviewing books published during this period, the research evaluates how these works support language development, multicultural understanding, and early literacy skills among young readers. The study also highlights the importance of selecting books that reflect authentic Hispanic voices and experiences, promoting inclusivity and diversity in early childhood education.

Influencers Endorsement Advertising Methods On Different Social Media Platforms, Sophia R. Annaloro

Honors Undergraduate Theses

Social media marketing has opened a unique spot for Social Media Influencers. With their fame comes a lot of power over their follower's actions. Many things are at play when an influencer works with a brand to create promotional content for a product. Flow theory suggests that an abrupt advertisement does not match the pace or aesthetic of the content they are currently consuming. When one's viewing is abruptly interrupted by an advertisement, the consumers are now aggravated by the product. Distinctive characteristics of different platforms are likely to develop flow differently. This study analyzed how passive versus active product …

The Role Of Micrornas In Cellular Senescence, Inflammation, And Cancer Induced By Childhood Obesity, Sarah S. Siddiqi

Honors Undergraduate Theses

Childhood obesity has escalated into a major public health crisis with serious implications for long-term health. As obesity rates among children continue to rise globally, it is crucial to understand its effects on cellular aging and inflammation—key processes that underpin many metabolic diseases. Obesity not only directly contributes to various metabolic disorders but also disrupts fundamental cellular mechanisms, accelerating aging and fostering systemic inflammation. By examining the impact of obesity on cellular aging and chronic inflammation, as well as the regulatory role of microRNAs (miRNAs) in these pathways, we have been able to identify critical biomarkers and molecular mechanisms involved …

Estimating Change Over Time In Catfish Size As A Proxy For Prehistoric Resource Use At Cape Canaveral, Otis Fields

Honors Undergraduate Theses

The Ais who lived on Cape Canaveral are no longer present to tell their stories, but they left behind artifacts that can help us learn how they managed their environmental resources. Ongoing zooarchaeological analyses from multiple prehistoric sites at Cape Canaveral have revealed a heavy reliance on marine catfishes (Ariopsis felis and Bagre marinus). This study estimates the size and weight of catfish using allometric equations from measurements of dorsal and pectoral spines and otoliths. Analyses will identify potential changes in size over time and preference in size of fish that were kept to evaluate the sustainability of …

Disseminating Over-The-Air Updates Via Intelligent Labeling In Multi-Tier Networks, Atefeh Asayesh, Asad Waqar Malik, Sajal K. Das

Computer Science Faculty Research & Creative Works

Connected Vehicles Rely on Sophisticated Software Systems for Diverse Features, Including Navigation, Entertainment, Communication, and Safety Functions. as Technology Continues to Advance, the Reliance on Software in Connected Vehicles Becomes Increasingly Integral to their overall Performance and the Delivery of Innovative Features. Therefore, in the Domain of Software-Enabled Automobiles, the Implementation of over-The-Air (OTA) Software Updates is Deemed Essential for the Dissemination of Software and Fixes in Connected Vehicles. the Conventional Method of Addressing This Matter Entailed Manufacturers Undertaking the Task of Recalling Outdated Vehicles; However, the Central Issue Lies in the Considerable Challenge of Effectively Notifying Owners through Recall …

Utilizing Health Literacy Universal Precautions And The Teach-Back Method To Improve Hospitalized Patients' Experience With Medication Education: A Quality Improvement Project, Kathleen Meyer

DNP Scholarly Projects

BACKGROUND: Patients, especially the elderly, are at high risk for post hospital complications related to poor medication adherence. Addressing health and medication literacy limitations during their inpatient encounter closes critical gaps in a patient’s understanding of their medication regimen. The project goal was to improve the patient experience related to communication about medicines during their inpatient encounter. The intervention implemented was the introduction of health literacy universal precaution concepts and teach-back methodology for medication education.

METHODS: Interdisciplinary educational sessions were created and implemented for nurses, hospitalists, and respiratory therapists. Additionally, at the elbow support was provided throughout the implementation phase …

Peer Support To Enhance Safe Alcohol Use In University Students: A Quality Improvement Project, Kerri Reynolds

DNP Scholarly Projects

BACKGROUND: College is a period of transition to adulthood where many students experiment with alcohol consumption. Peer educators can bring access to evidence-based alcohol consumption education through student-centric strategies. This quality improvement project aimed to implement an evidence-based training program for college peer educators followed by the delivery of campus alcohol education in a six week period. Feasible ideas for sustainable college peer educator training were generated at this medium-sized public university. The impact of training on six peer educators’ self-reported professional leadership skills, knowledge, and confidence was measured.

METHODS: The Certified Peer Educator (CPE) training program (NASPA) was used …

Evaluating The Impact Of Simulation On Perceived Knowledge And Confidence Of New Graduate Nurses (Ngns) In Maternal-Newborn Care, Disa Seymour

DNP Scholarly Projects

Abstract

Background: Nursing education worldwide varies in duration and training process, with nurses often facing rapid immersion into patient care complexities when entering the workforce. While new nurses contribute significantly to the nursing community with contemporary knowledge, their transition to practice can be daunting, necessitating support for both competence and retention. As specialty care settings integrate more new graduate nurses (NGNs) to address workforce shortages, collaboration between leaders and educators becomes crucial. Simulation emerges as a vital tool in building confidence while learning, offering a safe space for skill development and growth of confidence.

Purpose: This project’s objective was to …

Scares: A Clinician Guide To Spinal Cord Awareness, Response, And Emergency Support Creation And Implantation Of Scares Protocol Among Hospitalist Advanced Practice Providers, Brittany Biega

DNP Scholarly Projects

While they are more common in patients with oncological disease and trauma, SCE still exist among patients without these comorbidities. Less has been established regarding care protocols in this population. The absence of standardized procedures has been linked to preventable, adverse patient outcomes, including cases of permanent damage due to delayed treatment. This project employs Lean Six Sigma methodologies and Johns Hopkins Evidence- Based Practice to devise a robust SCE protocol, aimed at standardizing care and improving patient outcomes. A multidisciplinary team including general medicine, neurology, neurosurgery, and neuroradiology developed “Spinal Emergency Management Guidelines” protocol, which was implemented within the …

Effectiveness Of Diversion Tube On Peripheral Blood Culture Contamination Rates From Intravenous Catheters In A Community Hospital Emergency Department, Anne Meginniss

DNP Scholarly Projects

BACKGROUND: Obtaining blood cultures is routine care for patients who are suspected to have sepsis. Contaminated blood cultures can lead to increased healthcare costs for patients suspected of sepsis. Reducing contaminated specimens could improve the quality of care delivered as well as increase patient satisfaction.

AIM: This quality improvement project aimed to reduce the number of contaminated blood cultures in a community hospital emergency department by using an initial specimen diversion tube to meet the new national benchmark of below 1% contamination rate.

METHODS: Twenty-seven diversion specimens were collected over an eight-week period via initial intravenous catheter insertion in a …

Impact Of Personal Continuous Glucose Monitor Use During Hospitalization On Rates Of Hypoglycemia And Provider Confidence, Rebecca Longo

DNP Scholarly Projects

Continuous Glucose Monitors (CGMs) are an essential tool for managing diabetes in the outpatient setting, helping individuals achieve glucose goals. However, CGMs are not currently FDA-approved for use in the hospital setting. Despite this limitation, many individuals continue using their personal CGM during hospitalization or begin using them prior to discharge if the care team believes the technology will support glucose management during and after leaving the hospital.

This project aimed to evaluate whether individuals using personal CGMs during hospitalization experienced less hypoglycemia and whether reviewing CGM data could improve provider confidence in insulin dosing. While initiating CGM use during …

Factors Related To Attitude-Associated Stigma Among Caregivers Of Mentally Ill Patients In Tanzania., Clavery Lyela, Ezekiel H. Mbao, Stephen Kibusi, Tumbwene Mwansisya, Phillipo L. Chalya

School of Nursing & Midwifery, East Africa

Background:

Attitude-associated stigmas towards patients with mental illness affect most patients. However, the factors related to attitude-associated stigma among caregivers remain unknown. This might lead to the disruption of family relationships, low self-esteem, lack of socialization and other adverse effects. Therefore, the current study aimed to determine the associated stigma among caregivers of a patient with a mental illness

Methods:

A quantitative approach, with a cross-sectional study design, was used, involving two standardized questionnaires: Community Attitudes Towards the Mentally Ill (CAMI) Scale and Modified Consumer Experiences of Stigma Questionnaire (MCESQ), which were used to measure attitudes associated with …

Experimental Investigation Of High-Temperature Brine-Shale Interactions, Anna Atasha Hoffmann

Doctoral Dissertations

"Hydrofracturing (fracking), a common practice in the Petroleum Industry to induce or improve fluid flow in tight formations, creates chemical disequilibrium that further alters the porosity and permeability of host rocks and results in the production of saline and contaminated produced waters (PW). The PW of the Tuscaloosa Marine Shale (TMS) are Na-Ca-Mg-K-Cl brines with mean concentrations of approximately 16% Total Dissolved Solids (TDS) and circumneutral pH. Analysis of composition suggests the PW result from a 20 to 80% dilution of formation waters (relict brines of the Louann Salt) by fracking fluid. Trace element concentrations generally show moderate to strong …

The Comprehensive Study Of High Viscosity Friction Reducers In High-Tds And High-Temperature Environments, Xiaojing Ge

Doctoral Dissertations

"High viscosity friction reducers (HVFRs) have been recently gaining more attention and increasing in use, not only as friction-reducing agents but also as proppant carriers. Reusing of produced water has also been driven by both environmental and economic benefits. Currently, most friction reducers on the market are anionic friction reducers, which are fully compatible with most produced water with low to medium level of Total Dissolved Solids (TDS) but show a significant drop at high TDS conditions in term of their friction reduction performance in most cases. On the contrary, cationic friction reducers are believed to have better TDS tolerance …

Communication Modality And Activity Recognition In Smart Manufacturing, Haodong Chen

Doctoral Dissertations

"Advancements in sensors, computational intelligence, and big data have been rapidly transforming and revolutionizing the manufacturing sector, leading to robot-rich and digitally connected factories. To facilitate such a transformative process, workforce training and coordination between the human workforce and robots have remained a major challenge. This study aims to create intelligent workforce training systems for human-computer interaction and human-robot collaboration. It proposes the use of dynamic gestures and speech commands for seamless communication between a worker and a robot, leveraging Convolutional Neural Networks (CNN) and multiple threading for recognition and integration. Additionally, a fine-grained activity recognition model has been crafted …

Optimization Of Fire Emergency Preparedness In Underground Mining Environments: An Agent-Based Evacuation Approach, Oluwafemi Babatunde Salami

Doctoral Dissertations

"Underground mining environments present a complex interplay of thermal and non-thermal hazards, with fires constituting a significant risk due to the release of heat smoke from incomplete combustion. The propagation of these hazards through the ventilation networks underscores the critical need for understanding fire scenarios and their interaction with the underground environment. Existing knowledge regarding past mine fire disasters, and quantification of associated hazards and risks are insufficient for optimizing emergency evacuation strategies in the event of an underground fire emergency.

This research endeavors to bridge this gap by developing advanced quantitative risk assessment and evacuation models tailored specifically for …

Investigating The Potential Of Blended Feedstocks For Biofuel Production Via Pyrolysis Process: Experimental And Aspen Simulation Approach, Hasan Jawad Hammood Al-Abedi

Doctoral Dissertations

"The development of renewable energy sources has become increasingly urgent considering the climate crisis and the need to reduce greenhouse gas emissions. Pyrolysis, which is decomposition of an organic feedstock without oxygen, is a thermo-chemical process that has garnered significant attention as a promising technology for sustainable energy production, capable of converting biomass and waste materials into biofuels.

The primary objective of this study is to investigate the pyrolysis and co-pyrolysis behaviors of corn stover (CS), refuse-derived fuel (RDF), and oil shale (OS) in equal mass ratios. Utilizing a thermogravimetric analyzer and differential scanning calorimetry (DSC), the co-pyrolysis process is …

Uncertainty Quantification For Peec Based On Wasserstein Generative Adversarial Network, Yuan Ping, Yanming Zhang, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

This article proposes a modified generative adversarial network (GAN)-based approach, namely Wasserstein GAN (WGAN), for the uncertainty quantification (UQ) in partial equivalent element circuit (PEEC) models. Initially, the stochastic PEEC is constructed to obtain the sample data of the quantities of interest (QoI). This sample data, along with the fake data from the generator, serves as input for the discriminator in WGAN. The loss function of the generator in WGAN is constructed using the Wasserstein distance to provide a more usable gradient than that in the traditional GAN. By estimating the distribution of sample data using the fake data in …

Evaluation Of Transfer Learning Models On Traumatic Brain Injury Severity Classification, Ngoc Do, Daniel B. Hier, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

After traumatic brain injury (TBI), clinicians use the Glasgow Coma Scale (GCS) to classify patients by severity and radiologists use the Rotterdam score and the Marshall score to classify CT scans by severity. This work investigates a viable efficient low-cost transfer learning model to use MRI images to predict GCS, Rotterdam, and Marshall severity class after TBI. The enhanced transfer learning model architecture integrates multiple fine-tuning steps in which a few layers of the pre-trained model is unfrozen in each iteration so that the neural network is able to learn layer by layer further aspects of the image for better …

Low Noise Wireless Sensing In Termite Detection, Wei Zhang, Xiangshu Qi, Yunlong Luo, Alex Qi, Yihong Qi, Gang Feng

Electrical and Computer Engineering Faculty Research & Creative Works

Termites cause enormous financial damages all around the world every year. The majority of research on wireless sensing is always concerned with the various human-centric applications, however, the vast potential of wireless sensing for termite detection is often disregarded. In this article, a Wireless Intelligent Sensing (WISe) millimeter-wave (mmWave) radar system for termite detection is proposed. Here, we design a three-layer architecture with some intelligent resources to monitor the movement signs of the termites. In addition, we present a low noise sensing architecture that minimizes the noise in hardware and digital signal processing, which can reduce the impact of environment …

Dk And Df Characterization Of Low-Loss Dielectric Liquid By Cylindrical Cavity Resonator, Chaofeng Li, Seyedmehdi Mousavi, Reza Asadi, Seyedmostafa Mousavi, Reza Vahdani, Xiaoning Ye, Kai Wang, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

A novel cylindrical cavity resonator-based measurement method was developed to characterize the dielectric property of the low-loss dielectric liquid in the paper. The proposed method can be used to accurately measure the dielectric constant (Dk) and the loss tangent (Df) of the low-loss coolant for signal integrity analysis. The cylindrical cavity resonator works at tangential magnetic (TM010) mode is used in the paper to demonstrate the proposed method. A cylindrical cavity resonator apparatus was designed and investigated using full-wave simulations at first. The relative error of Dk and Df extractions based on the designed apparatus are less than 1% and …

In-Plane And Out-Of-Plane 2-D Microdisplacement Sensor Based On A Single Microwave Resonator With Machine Learning, Shiyu Li, Osamah Alsalman, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

Microwave displacement sensors have garnered significant research interest in recent years and have found successful applications in industrial automation and aerospace engineering. However, most microwave sensors are limited to measuring in-plane displacement, with the assumption that out-of-plane displacement remains constant during operation. In this work, we propose and experimentally demonstrate a novel concept for 2-D micro displacement sensing that simultaneously measures both in-plane and out-of-plane displacement. We developed a proof-of-concept sensor system based on a custom-made coaxial cable resonator (CCR) serving as the stator and a rubber-metal heterogeneous plate as the movable part. The in-plane and out-of-plane micromovements of the …

Statistical Eye Diagrams For High-Speed Interconnects Of Packages: A Review, Junyong Park, Donghyun Kim

Electrical and Computer Engineering Faculty Research & Creative Works

An eye diagram, a critical metric in signal integrity analysis for high-speed interconnects such as packages, interposer, and printed circuit boards (PCBs), is generated by superposition of the received waveform. Obtaining an eye diagram is time-consuming, thus signal integrity analysis is inefficient. This article reviews that have been proposed to overcome this limitation. The statistical eye diagram provides a probability distribution depending on a sampling time and voltage, therefore it can be expanded to other metrics, such as the bit-error rate and shmoo plot. This article introduces previous research on statistical eye diagrams applied to complementary metal-oxide-semiconductors (CMOSs), noise, and …

Optical Fiber Sensors Based On Advanced Vernier Effect - A Review, Wassana Naku, Jie Huang, Chen Zhu

Electrical and Computer Engineering Faculty Research & Creative Works

The Optical Vernier Effect Has Emerged as a Powerful Tool for Enhancing the Sensitivity of Optical Fiber Interferometer-Based Sensors, Ushering in a New Era of Highly Sensitive Fiber Sensing Systems. While Previous Research Has Primarily Focused on the Physical Implementation of Vernier Effect-Based Sensors using Different Combinations of Interferometers, Conventional Vernier Sensors Face Several Challenges. These Include the Stringent Requirements on the Sensor Fabrication Accuracy to Achieve a Large Amplification Factor, the Necessity of using a Source with a Very Large Bandwidth and a Bulky Optical Spectrum Analyzer, and the Associated Complex Signal Demodulation Processes. This Article Delves into Recent …

Addressing Reactive Power Sharing In Parallel Inverter Islanded Microgrid Through Deep Reinforcement Learning, Oroghene Oboreh-Snapps, Sophia A. Strathman, Jonathan Saelens, Arnold Fernandes, Jonathan W. Kimball

Electrical and Computer Engineering Faculty Research & Creative Works

Parallel Inverter Microgrids (MGs) Present a Significant Challenge in the Form of Inverter-Based Distributed Generators (IBDGs) Connected with Varying Line Impedances, Potentially Leading to Substantial Reactive Power-Sharing Errors (RPSE). This Paper Proposes the Fusion of Data-Driven Control into the Conventional Virtual Synchronous Generator in a Bid to Minimize the Sharing Error. First, All State Variables Associated with Each IBDG in the Microgrid Are Sensed and Used as Input Data for a Deep Reinforcement Learning (DRL) Agent. Next, the DRL Agent, motivated by a Unique Reward Function, is Trained to Satisfy Two Objectives: (1) Ensure the Output Voltage of All IBDGs …

Empowering Urban Traffic Management: Elevated 3d Lidar For Data Collection And Advanced Object Detection Analysis, Nawfal Guefrachi, Hakim Ghazzai, Ahmad Alsharoa

Electrical and Computer Engineering Faculty Research & Creative Works

The 3D object detection capabilities in urban environments have been enormously improved by recent developments in Light Detection and Range (LiDAR) technology. This paper presents a novel framework that transforms the detection and analysis of 3D objects in traffic scenarios by utilizing the power of elevated LiDAR sensors. We are presenting our methodology's remarkable capacity to collect complex 3D point cloud data, which allows us to accurately and in detail capture the dynamics of urban traffic. Due to the limitation in obtaining real-world traffic datasets, we utilize the simulator to generate 3D point cloud for specific scenarios. To support our …

Angle-Dependent Photoinduced Changes Of Near-Infrared Transmission In Amorphous Selenium Films, Kaitlin Hellier, Emily Enlow, Seyedehnajmeh Montazeri, Mina Esmaeelpour, Shiva Abbaszadeh

Electrical and Computer Engineering Faculty Research & Creative Works

Amorphous selenium (a-Se) is a promising semiconductor for a variety of photoconductive applications, predominantly in X-ray detection. In addition, material properties introduce several other potential applications in nonlinear optics. Photodarkening (PD) presents an interesting area of study; when exposed to band-region light, metastable structural changes induce a shift in the band edge and increase tail absorption. In this work, we investigate these effects utilizing a near-infrared (NIR) probe to avoid generating any darkening during beam transmission. We observe an unexpected result; here, we present the effects of band region exposure in NIR transmission (1570 nm). We observe a shift from …