Digital Commons Network^™

In Search Of Cognitive Justice: One District’S Approach To Implementing Culturally Responsive Practices, Anne Marie Mancini

Theses and Dissertations

This action research study examined district leaders' approach to integrating culturally responsive practices into classrooms in a medium-sized urban Connecticut public school system. The framework for this study was supported by two theories: transformative learning and culturally responsive pedagogy. Following a case study model of design, the project focused on the work of the Supervisor of Professional Learning and the Department Supervisor for English Language Arts (ELA) as they provided training, support, and resources to the Grade 7 team. Two research questions guided this study: (1) What successes, if any, did district leaders experience in implementing culturally responsive teaching practices …

Assessing Functional Abilities In A Memory Disorder Population: A Comparison Of Self-Report, Informant-Report, And Performance-Based Measures, Kevin Andrew Murray

Theses and Dissertations

Objective: Accurate assessment of daily functioning is critical for deriving a correct diagnosis and facilitating effective patient care. While collateral reports from a reliable informant can elucidate patients’ functional capacities, they may be susceptible to misappraisals of functional status. Similarly, patients with limited insight may be prone to misjudging their functional abilities. Performance-based measures of adaptive functioning may detect subtle declines in daily functioning overlooked by self- and informant-report measures. However, these measures may be limited in terms of ecological validity. The current study investigated the association between a performance-based measure of daily functioning and patients’ and informants’ ratings of …

Design Of An Above Pavement Wireless Sensor Node (Apwsn) For Real-Time Roadway Monitoring Using Piezoelectric Energy-Harvesting, Jochy Jonathan Perez

Theses and Dissertations

The evolution of Smart Highway and Internet of Things (IoT) technologies offers new opportunities to improve the safety and efficiency of vehicular traffic on roads. This research effort describes the development of a wireless pavement sensor that provides a novel method to detect key pavement parameters while incorporating low-power energy harvesting that leverages the kinetic energy generated by vehicular traffic. The Above Pavement Wireless Sensor Node (APWSN) is the embodiment of the approach. APWSN can facilitate the strategic deployment of sensors on a wide variety of roads to enable real-time data collection to support decision-making processes for road infrastructure maintenance …

Mirror Mirror On The Screen Show The Me That I Want Seen: Navigating Digital Influences On Identity Construction: A Qualitative Case Study, Jaime Digirolamo Vona

Theses and Dissertations

This qualitative case study explores how information messages, on and offline, influence the identity construction of young adult learners using a self-authorship frame at County Community College (CCC). Self-authorship is the construction of beliefs, values, and identities based on a personally defined internal process rather than reliance on external formulas for meaning (Baxter Magolda, 2023). Data collection and analysis included semi-structured interview transcriptions from eighteen students aged 18-24. The findings revealed the dynamic interplay between traditional values and online ideals, highlighting the challenges of influence and dissonance in the identity journey. The study's findings call on educators and policymakers to …

Distracted Driving: Identification, Contributing Factors, And Safety Countermeasures, Ahmed Sajid Hasan

Theses and Dissertations

Distracted driving is a hazardous behavior responsible for 25% of all fatal traffic crashes in New Jersey. While traditional methods such as surveys, videos, and simulations have been used to identify and evaluate distracted driving events, these approaches primarily provide cross-sectional data that fails to capture the true rate of distraction on the road. This study addresses this limitation by collecting longitudinal data on distracted driving events across selected corridors in New Jersey. A data collection team continuously drove through these corridors, manually counting and video recording driver distraction events. The collected data was then analyzed to assess the significance …

Injectable Hydrogels That Can Measure Radiation At Body Temperature, Daniel Joseph Ball

Theses and Dissertations

Hydrogel-based radiation dosimeters are used to calibrate and validate radiation delivered by linear accelerators used in radiotherapy. Specifically, Fricke hydrogel-based dosimeters containing ferrous ion complexes oxidize upon exposure to radiation, leading to a change in optical density that can be measured via a color change in a photometric reagent. While gelatin-based Fricke hydrogels are routinely used to measure radiation, these hydrogels are unstable at body temperature, and it is currently not possible to noninvasively measure radiation dose inside a patient. This study reports the synthesis and characterization of self-forming hydrogels containing Fricke components that are stable at body temperature. The …

Identifying School-Wide Inequities: Action Research Conducted Using An Equity Audit To Inform Annual School Planning For A Pre-K–8 School, Janine Casella

Theses and Dissertations

This action research study aims to identify and address equity gaps within a PK-8 New Jersey school by leading a professional learning community (PLC). The study will use action research methods to conduct an educational equity audit, which will inform the annual school plan and create a leadership action plan to stimulate organizational change. Traditionally, teachers at the research site have used Data-Driven Decision Making (DDDM) cycles, but this study will integrate Critical Data-Driven Decision Making (CDDDM) cycles, including an equity audit analyzed in PLCs. The audit will identify patterns of inequity and identify strategies to address them. The study …

Deciphering Evolutionary Co-Option By Studying The Origin Of Self-Fertility In Caenorhabditis Nematodes, Jonathan P. Harbin

Theses and Dissertations

In my research, I examined the characteristics of male and female sex-determination mutants in C. nigoni and investigated the regulatory pathway they define. This work tested whether flexibility in the sex-determination pathway was a preexisting condition that favored the origin of self-fertility in Caenorhabditis. Furthermore, I developed an approach for using interspecies hybrid mutants to assess the robustness of the C. nigoni pathway. My findings showed that the C. nigoni pathway is highly robust and canalized, suggesting that changes leading to self-fertility must have involved the impairment of this canalization in the germ line, to allow eventual alteration of germ …

School Administrators Making Sense Of Wellness Issues And Technology Policy: A Qualitative Instrumental Case Study, Allyson Michelle Rose

Theses and Dissertations

Technology use has been identified as a key contributor to the decrease in youth mental health (Children’s Bureau, 2019; Lebrun-Harris et al., 2022; Dwyer, 2022; Mojtabai et al., 2016; Yasakci, 2019; Odgers & Jensen, 2020). The purpose of this qualitative instrumental case study was to investigate how school district administrators are addressing wellness issues that are developing in elementary aged students due to technology use. The intent of this study was to use the theory of sensemaking (Weick, 1995) to investigate how administrators create policies that respond to the current wellness crisis arising from technology usage in public elementary school …

Elements, Andres L. Sanchez

Theses and Dissertations

Elements is a dissertation that presents my work as an out-of-the-Academy conceptual writer that loves teaching even though I won’t ever teach again. The dissertation includes a critical introduction, “Do You Actually Want to See This?” that seeks to examine conceptual poetry in the light of Sianne Ngai’s stuplimity and Antonin Artaud and Bertolt Brecht’s performance theories so that we may rethink conceptual poetry’s effect on the audience when it is performed. The creative manuscript, “Elements,” is the result of a process stolen from Raymond Queneau to be used on David Hilbert’s The Foundations of Geometry but is instead redirected …

Role Of Customized Visual And Multifactorial Interventions In Preventing Falls Among Individuals With Visual Impairment In South India, Ramya S

Theses and Dissertations

Falls are the second leading cause of unintentional injuries and extensively studied among the elderly. Hence, intervention studies for falls prevention are restricted to the elderly with or without visual impairment (VI). Even among studies with VI, strategies for treatable VI are widely explored. Hence this study aimed to understand falls and interventions that may reduce falls in all the age groups especially among those with untreatable VI.

This mixed methods study included identification of subjects aged ≥ 18 years with VI from clinical records of Medical Research Foundation, Chennai and details of previous history of falls were enquired over …

Discovery Of Small Molecules To Alleviate Heart Disease-Induced Proteinopathy And Proteotoxicity Characteristic Of Alzheimer’S Disease, Nirjal Mainali

Theses and Dissertations

Cardiovascular disease (CVD) is the leading cause of death in the world and in the United States. Reduced cardiac output due to CVD has been previously associated with decreases in systemic and cerebral perfusion. Cerebral hypoperfusion increases the risk of Alzheimer’s disease (AD), accompanied by accumulation of aggregates that feature Aβ amyloid and hyperphosphorylated tau. Protein aggregation is a shared hallmark of aging and neurodegenerative diseases. We previously reported elevated aggregation in hearts of hypertensive and aged mice and now find that aggregation is induced in hearts and brains of male C57BL/6 mice after transient ligation of the left coronary …

Computational And Experimental Advances In Nuclear Magnetic Resonance For High Resolution Structures, Ryan Toomey

Theses and Dissertations

Since its inception, nuclear magnetic resonance (NMR) has been a valuable tool for determining chemical structure. In recent years, the field of NMR has been advanced forward by the ability to calculate theoretical parameters with increasing accuracy and efficiency. These calculations are compared to experimental data to produce high resolution structures. The progression of these applications has been made possible by improved instrumentation, data processing methods, probe and experiment design, better quality functionals and basis sets, as well as increased computational power. This research is especially relevant with the emergence of artificial intelligence, which has great potential to expedite steps …

Low-Power Sensor Design And Fusion To Edge Devices For High-Speed Object Detection And Enhanced Soldier Situational Awareness, Scott Patrick Wood

Theses and Dissertations

Threat detection and physiological monitoring of soldiers from fused sensor data collected in real time is currently limited to running deep neural networks with substantial computing needs. The lack of data acquisition from sensor readings and efficient detection of novel enemy signatures motivates the need for a low-power, low-cost, wireless multisensor fusion computing system. We propose the current trends in Internet of Things to deploy a chargeable, wireless multi-channel acquisition system that can be interfaced to a high speed, Single Board Computer (SBC) such as the NVIDIA Jetson Orin capable of running object detection models, such as YOLOv7-tiny to enable …

A Study To Explore How People Evaluate The Quality Of Their Medical Information From The Social Media For Celiac Disease, Phillip Arnold

Theses and Dissertations

Every day, millions of people visit various social media platforms to post updates on their daily lives, to search for information, and to repost and/or potentially like posts on social media. This has led to scores of pieces of misinformation appearing on these social media posts. While some misinformation can be harmless and disregarded by the general public, there are various subject matters, including medical treatments and diseases, where misinformation on the treatment and other various subjects involving the disease can lead to dire consequences. This research proposes to investigate how social media users vet their data on two different …

Sweating The Small Stuff: Exploring Consequence Assignments And Academic Outcomes In A No-Excuses Charter Network, John G. Stevens

Theses and Dissertations

Schools utilize a range of consequences to maintain order and safety. Some employ zero-tolerance policies accompanied by exclusionary tactics like suspension (Martinez, 2009; Muschert et al., 2014). Suspensions are criticized for their disproportionate assignment to students who are Black, male, assigned an IEP, and receiving lunch assistance (Cholewa et al., 2018; Skiba et al., 2002), as well as their deleterious associations with academic achievement (Chu & Ready, 2018; Morris & Perry, 2014; Noltemeyer et al., 2015). Charter schools espousing a no-excuses philosophy often adopt a “Sweat-the-Small-Stuff” (STSS) approach focused on correcting minor (mis)behaviors to prevent more egregious ones (Whitman, 2008). …

Estimating Dis Performance Using Mininet, Ryan D. Winz

Theses and Dissertations

Real time distributed simulation is an exceptionally useful tool for training and wargaming used by the military and industry alike. This research aims to provide scenarios and structures to evaluate the effect of distributing simulations among different compute nodes. Specific scenarios involve the analysis of performance as a function of latency and the degree network protocols and reliability affect simulation performance. Various standards exist for administering geographically separated simulations. The focus of this thesis will be on the Distributed Interactive Simulation standard, a peer-to-peer open standard for simulation messages to adhere to, but lessons can be extended to other standards.

Investigating Temperature And Emissivity Separation Techniques Through The Use Of A Spectral Emissivity Database, Mitchell A. Manzardo

Theses and Dissertations

This study evaluates two temperature and emissivity separation techniques using data from an ABB MR304 FTIR and a Telops Mid-Wave Hyper-Cam on carbon-based samples heated by a high-energy laser. The established Linear Spectral Emissivity Constraint (LSEC) and Gray Body Emissivity (GBE) methods, as well as a new Robust Ratio Linear Fitting (RRF) method are assessed for their applicability in controlled lab environments. A spectral emissivity database aids in analyzing method performance. The RRF method shows promise but has limitations, particularly with low-temperature data and complex Hyper-Cam data. Despite these challenges, the RRF method offers potential for further refinement.

Collisional And Spatial Characterization Of Electron Broadening In Rubidium Vapor, Jordan C. Mindrup

Theses and Dissertations

Stark broadening of the 4²D → 12²F transition of rubidium is examined in a rubidium vapor cell with modulated double pump-probe spectroscopy at helium pressures of 0.001 Torr, 3.0 Torr, and 30.0 Torr. A pressure dependent critical rubidium number density was observed after which the presence of electrons becomes dominant. It is observed that after the rubidium density threshold, a linear relationship is seen between rubidium number density and the Stark broadened width of the line shapes, with a slope of 0.079 ± 0.002, 0.18 ± 0.01, and 0.9 ± 0.1 for helium pressures of 0.001 …

Heuristic Design Of Cislunar Space Situational Awareness Architectures, Jacob A. Dahlke

Theses and Dissertations

The growing interest in the cislunar domain, which encompasses geosynchronous Earth orbit (GEO), the Moon, and the region where Earth-Moon gravitational effects are the primary influence, necessitates the development of tools to ensure safe and successful exploration. Space situational awareness (SSA) involves monitoring an environment to detect, track, identify, and catalog space objects. While most SSA experience comes from near-Earth operations, expanding into the cislunar domain presents significant challenges due to its vast expanse—greater than 10 times the radius of GEO—and the unique dynamics governed by the Circular Restricted Three-Body Problem (CR3BP) influenced by both Earth and Moon gravitational forces. …

Investigating Hardware-Based Aes Countermeasures In The Sam4l Microcontroller For Side-Channel Attack Mitigation, Turki Mesbel Alamri

Theses and Dissertations

Side-channel attacks (SCAs) represent a sophisticated method by which attackers exploit indirect pathways, such as power leakage and electromagnetic emissions to glean sensitive information from microprocessors. These attacks analyze variation in power consumption during operations like data encryption to infer protected data, potentially compromising the security of the device. For example, observing the power draw differences when a device encrypts known data can also serve defensive purposes. Attacks often overlook emissions and power patterns, while focusing on avoiding network and host-based detection systems. This oversight presents an opportunity for security professionals to use SCAs to enhance system defenses by monitoring …

Advancing Robust Autonomous System Localization: Labeling Optimizations For Convolutional Neural Networks, Jeffrey L. Choate

Theses and Dissertations

AAR is increasingly critical as aircraft autonomy advances, particularly for the Global Strike mission of the USAF, enhancing operational range and endurance. Traditional methods relying on GPS and custom communication links are limited in GPS-denied environments. This dissertation advances a single camera method to estimate object pose across three interconnected studies. The system trains a CNN on synthetic imagery to predict bboxes for object components, Solve-PnP algorithm finds the 6DoF pose, then employs novel pseudo-labeling on real-world images. These findings are pivotal for the AAR community and contribute to robotics, computer vision, and CNN research. By enabling robust GPS-free autonomous …

Scene Decomposed Blind Deconvolution And Neural Network Based Multi-Frame Image Restoration Techniques For Astronomical Imagery, Joshua S. Sprang

Theses and Dissertations

Ground based astronomical imaging is an important method in gaining situational awareness of orbiting and far off objects in space. This method of imaging is accessible to everyone that can look up into the sky, but the accessibility to digital telescope systems allows for more exciting methods of extracting information. A use case for these telescopes is finding nearby objects to larger brighter known objects. The number satellites in low-earth orbit and geosynchronous earth orbit is becoming more congested as these orbits increase in population. Tens of thousands of satellites and debris now exist in this orbit, with the number …

Autonomous Experimentation For Accelerated Calibration Of Fused Deposition Modeling 3d Printers, Graig S. Ganitano

Theses and Dissertations

Additive Manufacturing (AM), also known as 3D printing, has emerged as a key component of Industry 4.0, enabling reduced cost, quick production, greater sustainability, and increased design complexity compared to its traditional manufacturing counterpart. Currently, Fused Deposition Modeling (FDM) technology dominates the AM market with respect to the number of 3D printers in use. However, the FDM process is sensitive to changes in system configuration, especially the feedstock material. Utilizing a new feedstock requires a time-consuming trial-and-error process to identify optimal settings for a large number of process parameters, acting as a barrier to the technology.

To enable greater accessibility …

Improving Military Medical Evacuation System Performance Via Stochastic Optimization, Virbon B. Frial

Theses and Dissertations

This research highlights the importance of improving the performance of military medical evacuation systems to reduce the risk of permanent disability or death among service members in deployed environments. We employ a range of stochastic optimization techniques relating to integer programming, Markov decision process, approximate dynamic programming, and machine learning, as appropriate, to gain insights into factors that contribute to improving system performance.

Performance-Based Contracts: Discovering The Role Of Pbc In Resilience, Justin P. D'Agostino

Theses and Dissertations

The lifecycle sustainment costs for complex and expensive systems (e.g., aircraft, ships, or manufacturing equipment) often exceed their purchase costs. Reducing sustainment costs, even by a fraction, can create competitive advantages for the system owner. The operations and supply chain management (O&SCM) field asserts that this competitive advantage in life cycle sustainment operations is achievable through performance-based contracts. However, empirical validation of this assertion is required. This research investigates performance-based contracts to validate their asserted impact on sustainment operations and develops a branch of research to understand their role in organizational and supply chain resilience. This research consists of three …

Optimal Placement Of Artificial Hair-Cell Airflow Sensors For Bioinspired Flight-By-Feel, Alex C. Hollenbeck

Theses and Dissertations

The Sparse Sensor Placement Optimization for Prediction (SSPOP) algorithm reduces highdimensional airflow data to a low-dimensional sparse approximation to identify an optimal placement for any number of sensors on airfoil or wing models of arbitrary shape and size, and outperforms conventional optimization techniques in accuracy and speed. For 2D flow this algorithm found a sensor placement solution (design point, or DP) which predicts AoA to within 0.10 degrees and ranks within the top 1 percent of the design space. On 3D wing models SSPOP found four-sensor DPs ranked well within the top 0.10 percent. Experimental validation with velocity and pressure …

Machine Visual Perception For Autonomous Docking Maneuvers, Derek B. Worth

Theses and Dissertations

This dissertation presents a novel approach to autonomous docking using machine learning for visual perception, particularly during probe and drogue aerial refueling. Autonomous vehicles have become pervasive in both civilian and defense sectors, and their ability to interact with their surroundings and each other autonomously is critical for future operations. Traditional methods relying on signals or inertial sensors face significant limitations such as interference, jamming, and drift. This research focuses on developing a computer vision-based solution to overcome these limitations. A novel pipeline, termed relative vectoring, is introduced, which utilizes dual object detection and machine learning to estimate relative positions …

Deep Learning Technique For The Classification Of Stress Among The Students Using Physiological Biomarkers With A Hybrid Feature Approach, Rajendran Vg

Theses and Dissertations

Adolescence is a crucial part in life, and the presence of stress, anxiety, depression, and health issues during this stage is a great concern. This research aims to analyze and predict the cognitive stress in students during the examination period using EEG biomarkers. In this study, raw EEG data is acquired under two different experimental conditions, before and after examination, from 14 subjects with an eight-channel Enobio device. After preprocessing of the EEG signal, the brain rhythms such as theta, alpha, and beta sub-band energies and EEG band ratios such as neural activity, heart rate, arousal index, vigilance index and …

Ai In Healthcare: Early Diagnosis Of Skin Cancer Using Medical Image Processing And Deep Neural Networks, Nirmala V

Theses and Dissertations

Several cancer types are commonly prevalent, and skin cancer is one among them, becoming even more widespread worldwide in the last few decades. To diagnose skin cancer at an early stage and obtain appropriate therapy to treat it, there is a demand to know more about the disease’s characteristics or severity. Skin cancer is caused mainly by various reasons, including damage of the sun or tanning beds by ultraviolet light exposure.

Failing to treat skin cancer might substantially impair an individual’s quality of life as the victim. They likely to experience physical issues linked with the deformities caused by psychological …