Digital Commons Network^™

Design Of Face-Milled Spiral Bevel Gear Drives With The Desired Conditions Of Meshing And Contact By Application Of The Universal Motion Concept, Akari Tawa

Theses

This thesis aims to improve the computational methodology proposed by Fuentes et al. (2018) for the design of face-milled spiral bevel gear drives in order to get closer to the objective gear tooth surfaces and provide the desired meshing and contact conditions. In the existing computational methodology, all machine-tool settings, excluding velocity ratio, are treated as constants, whereas in this work, the machine-tool settings will be computed by polynomial functions up to the fourth degree of the cradle angle, approach commonly known as Universal Motion Concept (UMC). The proposed approach assumes a predefined geometry for the wheel member of the …

A Domain-Specific Language For Accounting, Janhavi Doshi

Theses

Accounting can be loosely described as a set of rules and best practices for recording and reporting financial transactions. Despite the seemingly straightforward nature of these principles, implementing them through programming has proven to be complex. Currently, over 550 accounting software solutions exist, developed using more than 17 programming languages. These diverse and often fragmented solutions have led to numerous instances of fraud and errors that elude early detection due to inadequate validity checks. This study investigates the need for a unified approach by developing a Domain-Specific Language (DSL) for Accounting. The proposed DSL aims to standardize accounting practices, enhance …

Rural Electrification Subsidies: Quantification, Structure And Policy Implications, Lefu Maqelepo

Theses

This dissertation explores rural electrification subsidies and the policies around them, with an objective of assessing whether there are opportunities to restructure, and therefore redistribute subsidies to a larger portfolio of technology options to accelerate rural electrification and improve energy justice. Redistribution of subsidy necessitates an understanding of the amount of subsidy and how it is distributed. To do this, a quantitative modeling framework that enables for a direct comparison between grid extension and mini grid based electrification pathways based on implicit subsidy required to make connections over a system lifetime was developed and is presented. Using this framework, our …

Photonic Integrated Circuit Data Acquisition And Tunable Laser Control For Biomedical Point Of Care Systems, Maximilian Thoburn

Theses

In the world of healthcare, it has always been desirable to have a single test that can screen for multiple different patient ailments at once. Toward this end, a silicon photonics platform has been developed that uses photonic integrated circuits in combination with lasers to simultaneously perform various biological assays, i.e., to screen for biological markers in a patient’s sample. This system uses inexpensive passive flow cards with inexpensive photonic integrated circuits to create a disposable test platform that can be used in point of care environments. However, the necessary bench-top equipment to run an assay with these cards is …

Passive Acoustic Monitoring: Considerations For Recording Units, Birdnet Settings, And Filtering Methods For Long-Term Avian Population Monitoring, Shasta Corvus

Theses

This research investigated several aspects of passive acoustic monitoring (PAM) which were previously unexplored or understudied. A comparison of autonomous recording units (ARUs) for use with BirdNET for the purpose of bird monitoring was conducted. Four ARUs were compared, including AudioMoth, SM4, SMMicro, and SwiftOne. We found that, of the performance metrics for which ARU choice made a statistically significant difference (P>0.01), which included sensitivity, specificity, F1 harmonic mean, and Matthews Correlation Coefficient, (but not precision: P = 0.94), AudioMoth had the best performance for all statistically significant performance metrics except for specificity, for which SMMicro had the highest. …

Population Demographics Of Crappies (Pomoxis Spp.) And Comparison Of Fish Community Monitoring Techniques In Smithland Pool Of The Ohio River, Joseph Rector

Theses

Large rivers in the United States support popular recreational and commercial fisheries despite being among the most heavily anthropogenically modified habitats due to the construction of dams and levees, agricultural and industrial pollution, and channel modification, all of which can disrupt aquatic ecosystem function and affect fish community composition and abundance. However, despite their relative importance, riverine fisheries research tends to lag behind that of lakes and reservoirs due to the complexity of habitats and difficulties in reliably sampling dynamic waterbodies. Many fisheries biologists, researchers, and managers have implemented long-term resource monitoring programs on large rivers to collect and aggregate …

Impacts Of Intensifying A Corn-Soybean Rotation With Winter Wheat (Triticum Aestivum) On Nutrient Leaching, Plant Available Nutrients, Crop Yields, And Nitrogen Dynamics In Southern Illinois, Abigail Leigh Spiers

Theses

The Midwestern United States is a nationally and globally important producer of agricultural products and uses intensive practices to achieve high grain yields. However, intensive agriculture is a major contributor of nitrogen and phosphorus export to the Mississippi River and the hypoxic zone in the Gulf of Mexico. Cover cropping is a recommended conservation practice for providing soil cover throughout the winter and taking up nutrients that may otherwise be lost in bare fallow systems, but the associated costs limit widespread adoption of this practice. Double cropping, which involves growing two crops in one year, is functionally similar to cover …

Energetics And Passivation Of Surface Defects In Hgte Colloidal Quantum Dots, Jacob D. Eisensmith

Theses

Colloidal quantum dots (CQDs), and especially HgTe CQDs, have the potential to disrupt traditional solid-state manufacturing of sensitive infrared photodetectors. Here we produce a surface model for (111) HgTe surfaces present in tetrahedral CQDs and attempt to use density functional theory (DFT) to explore various issues in the fabrication and performance of HgTe CQD photodetectors. One such concern is the presence of mid-gap trap states that can hurt device performance. In this work, we demonstrate that an abundant source of these trap states is unpassivated mercury at the surface of the nanocrystal, which can be corrected with passivation procedures. Furthermore, …

Development And Testing Of A Far Infrared Fourier Transform Spectrometer For The Calibration Of On-Chip Spectrometers, Dale Mercado

Theses

Astrophysical measurements in the far-infrared (FIR) wavelengths are crucial for a variety of astrophysical applications. These include probing the fuel for cosmic star formation, understanding the developmental cycles of protoplanetary disks, and investigating the role and composition of dust in the interstellar medium. Our collaboration is currently developing a FIR on-chip spectrometer that is operable in the range of 100-200µm, utilizing low-noise kinetic inductance detectors (KIDs). As these devices incorporate new technology, their spectral response must be measured and compared with traditional FIR optical dispersion methods. To this end, we have designed a cryogenic Fourier Transform Spectrometer (FTS) that operates …

Kilonova Modeling And Parameter Inference, Marko Ristic

Theses

This dissertation details the generation of a kilonova simulation training library and the training of subsequent machine learning emulators used for multidimensional interpolation. We begin with a Gaussian process interpolation methodology and apply that emulator for Bayesian inference with the AT 2017gfo light-curve dataset. We then expand on our emulator interpolation methodology, replacing the scalar Gaussian process emulator with a vector neural network emulator for light-curve generation. Our neural network emulator results are localized to a much more narrow region of the parameter space, prompting a detailed supportive investigation of the systematic uncertainty associated with our inference approach. We then …

The Logical Reasoning Dilemma Of Llms: A Mapping Deficit In Representation Acquisition, Yiling Wu

Theses

Currently, Large Language Models (LLMs) based on the Generative Pre-trained Transformer architecture have made breakthroughs in multilingual language processing tasks and performed similar language processing capabilities to humans. However, their performance in dealing with tasks involving reasoning, especially logical reasoning, show significant shortcomings. In this paper, we argue that logical reasoning competence requires a certain type of representation acquisition capability. Based on this, in order to assess whether LLMs have the potential to overcome the shortcomings of their logical reasoning competence in their subsequent development, this work compares the representation acquisition processes of humans and LLMs. This comparison reveals that …

Formulation, Manufacture, And Deployment Of A Sustainable Multi-Layer Agricultural Mulch Film, Yvan David Hernandez-Charpak

Theses

Agricultural mulching films (AMF) increase crop yield while reducing pesticides use, meeting the needs of a growing world population. However, their disposal options have led to an intensifying and concerning problem of plastic pollution. Biodegradable mulch films are available, but adoption has been limited because of their unpredictable degradation rate, making them unreliable compared to conventional polyethylene AMF. This dissertation presents a multi-layer film structure (commonly used in the packaging industry), its manufacture, deployment in the field, and comprehensive sustainability assessment. Its structure consists of a thick middle layer of thermoplastic starch (TPS) and biochar filled-biodegradable poly(butylene adipate-co-terephthalate) (PBAT) thin …

Improvements On Model-Free Sliding Mode Control’S Implementation And Estimation Techniques, Joshua Coleman

Theses

Systems continue to grow in complexity to meet the demands of today’s society. To control severe nonlinearities and protect against errors in the system model, control methods with wider stability margins are necessary. However, most robust control methods require an increased energy cost to guarantee stability with wider margins. Furthermore, most current control methods are derived using system models, which are difficult to develop for complex systems. Model-Free Sliding Mode Control is promising in overcoming the aforementioned difficulties; the control output is only determined by the system order, previous control values, and state measurements. The control scheme’s characteristics have been …

Combined Virtual Reality And Mechanical Balance Platform System With Induced Visual Roll, Shkenca Demiri

Theses

Balance impairments are a common and widespread concern in human health. Acquired through genetics, aging, illness, or prolonged exposure to different environments such as travel by sea or travel in outer space; balance impairments pose significant challenges to those affected. Traditionally, balance studies have been largely qualitative. However, technological advancements have allowed for new methodologies to be developed for analyzing postural sway in a quantitative manner. In this thesis, custom force plate technology, an advanced inertial motion unit (IMU) motion capture system, and a mechanical motion platform, in tandem with a gamification system, were integrated to collect and analyze quantitative …

Low Cost Combined Camera And Imu Based Control For Autonomous Aerial Orientation Adjustment, Remi Mckenzie

Theses

The goal of this research was to create a robot control system that combines gyroscope and accelerometer data with vision tracking to improve aerial orientation control performance over what could be achieved with sensor data or image processing alone. There has been significant research into the function of mobile robots that can autonomously carry out a wide range of tasks across a wide range of environments. However, the full potential of these robots has yet to be realized, especially at the hobbyist level. Air based travel allows for motion capabilities far beyond that of a robot limited to ground travel …

Using The High-Probability Instructional Sequence To Increase Compliance With Vocal Imitation In Children Diagnosed With Developmental Delays, Kimberly Derque

Theses

Previous studies have evaluated the effects of the high-p instructional procedure involving motor imitation on the levels of compliance with vocal imitation in children with autism spectrum disorder (ASD). The current study replicated Hansen et al. (2018) by demonstrating the effectiveness of high-probability (high-p) instructional sequence involving motor imitation to improve compliance with vocal imitation in three preschool age children with developmental delay. A multiple baseline across participants was implemented to show the procedure's effects on compliance with vocal imitation responses. The EESA subtest of the VBMAPP was administered before and after the intervention to determine the level of vocal …

Using Behavioral Skills Training To Promote Online Safety Skills In Individuals With Developmental Disabilities, Robert Lynn

Theses

Abstract

Children are spending more time online, which is putting them at risk of encountering online predators. There have been attempts to minimize the occurrence of these encounters, but most of these involved instructional training and parent supervision. One alternative intervention for addressing safety skills that has been shown to be effective is behavior skills training (BST), which is a procedure based on behavior analytic literature. BST involves instructions, modeling, rehearsal, and feedback. The purpose of this study was to evaluate the effects of BST on the acquisition of online safety skills in adolescents and adults with developmental disabilities. In-situ …

Evaluating The Effectiveness Of Behavioral Skills Training For Teaching Implementation Of Natural Language Paradigm Program To Staff In An Early Intervention Setting, Abigail Kinnear

Theses

Due to the prevalence of language delays in children with ASD, it is important to provide effective treatment and ensure highly trained staff to implement language programs. Natural Language Paradigm (NLP) is a naturalistic approach that includes individualized motivating variables, natural reinforcers, and direct response to reinforcer contingencies to increase vocal communication and generalization of skills. Behavioral skills training (BST) is an effective strategy that uses instructions, modeling, rehearsal, and feedback to teach staff to implement specific programs. The current study replicated Seiverling et al. (2009) study on evaluating the effectiveness of using BST to train three staff to implement …

Teaching Adults With Developmental Disabilities To Ask "Why?", Mya White

Theses

Mands for information play an important role in language development and are important for successfully acquiring new information from one’s environment. Still, many individuals cannot effectively ask Wh- questions to mand for information, even though they may have extensive tact, intraverbal, and receptive language skills. Recently, Valentino et al. (2019) investigated procedures to teach the MFI “Why?” to children with language delays under the control of the establishing operation and examined the extent to which teaching resulted in generalization. The purpose of this study was to extend Valentino et al. protocol with three adults with developmental disabilities. The procedure involved …

Towards Human-Embodied Visual Intelligence, Cheng Han

Theses

The rapid development of artificial intelligence (AI) in computer vision has garnered considerable attention across diverse research fields (e.g., image classification, image segmentation, object detection, optical flow, depth estimation). However, this progress is met with an array of challenges that hinder them from real-world deployments. In this paper, three major challenges are discussed: I. Low Task Generalizability. Current visual models are often specifically designed for targeted tasks, constraining their generalizability with varying adaptation scenarios; II. Weak Model Interpretability. Within the paradigm of connectionism, most of these models are frequently regarded as ``black-box'' systems, making them challenging for humans to understand …

Effects Of Vitis Vinifera L. Seed Extract On Short-Term Memory Of Amyloid-Beta-Mediated Neurodegeneration In Transgenic Caenorhabditis Elegans, Elise Patrick

Theses

Alzheimer's disease (AD) is a neurodegenerative condition that is a common cause of dementia and a growing concern worldwide with no effective treatment or cure. Two pathological AD hallmarks include buildup of amyloid beta (Aβ) plaques and neurofibrillary tangles in the brain. Recent attention has turned to exploring natural products and compounds for AD symptom relief and treatment. Vitis vinifera grape seed extract (GSE) contains many beneficial substances. GSE has been tested in several animal models and has shown to improve memory and is even being examined in an AD treatment human clinical trial. In this study, the aim was …

Digital Transformation Of The Accounting And Audit Industry In Kosovo, Lis Musa

Theses

This capstone project analyzes how Kosovo's audit and accounting industry is being affected by digital transformation. Its aim is to explore how digitalization affects skills gaps, job accuracy, company costs, and productivity in different sectors at a time when technological breakthroughs are drastically changing industry. Professionals from Big 10 accounting and audit firms as well as a local Kosovo accounting business were interviewed to gather insights on the potential and difficulties brought about by digital tools and technologies. Research findings show that digital transformation is considerably bridging the skills gap in the industry, imposing constant professional development and adjustment to …

Ap Art History For Marshall Public Schools, Gage Bunting

Theses

Advanced Placement Art History (AP Art History) is a course that, while being one of the less popular AP offerings, exists in thousands of schools already. College Board is the institution that facilitates these courses and sets the requirements each school must follow in order to offer the course. With that said, there is not a rigid requirement that all courses be taught in the same manner, and because of that, the curriculum of this project was adapted to enhance learning for students of Marshall High School.

The art department of Marshall High School has evolved in recent years and …

Elucidation Of Potential Antimicrobial Properties Of Chalcones, Caleb Howell

Theses

The rise of antibiotic-resistant bacteria is a growing concern for the medical and biological community. Increased use of antibiotics has led to increased development of bacterial tolerances. This phenomenon, driven by the principles of evolution, has been exacerbated by the improper antibiotic use of these antibiotics. Often, individuals stop taking antibiotics once symptoms subside, mistakenly believing the infection is cured. This practice allows bacteria or fungi to develop resistance.

These antibiotics have been developed from secondary metabolites. While we have many effective antibiotics we are facing new threats. Chalcones are being looked at for their potential in addressing this issue. …

Determinants Of Youth Entrepreneurship In Kosovo, Dren Hima

Theses

This research aims to analyze the determinants of the probability of youth in Kosovo becoming nascent entrepreneurs. Kosovo, a young nation with a youth demographic and post-conflict socio-economic challenges, presents a unique context for studying entrepreneurship. The study focuses on the impact of both demographic and perceptual characteristics of the youth on their entrepreneurial orientation. The empirical analysis combines secondary data with primary data collected through an online survey targeting the youth of Kosovo, aged 18-29. It assesses the impact of various factors, including gender, educational background, household income, entrepreneurial experience, and perceptual variables like opportunity perception, fear of failure, …

A Spectroscopic Search For Recoiling Supermassive Black Holes In Nearby Active Galaxies, Emily Temple

Theses

It is hypothesized that following a galaxy merger the two central supermassive black holes (SMBH) become a binary system, eventually coalescing due to emission of gravitational waves. This coalescence results in a single black hole, with an accretion disk shining with high luminosity that photoionizes the surrounding gas. Therefore, the newly merged SMBH is visible as an active galactic nucleus (AGN). However, the gravitational waves are emitted anisotropically by the binary as it inspirals, resulting in a recoil kick. This ejects the newly merged SMBH from the AGN’s center of the galaxy. The SMBH oscillates around the galaxy’s center of …

Geo-Slam: Using Geometric Hierarchies To Support Localization And Mapping In Forest Environments, Daniel Castellarin

Theses

Robust mapping and localization can be challenging in environments like forests where easily observable landmarks are virtually indistinguishable from each other. In such environments, GPS or robot odometry may also be compromised by the landscape, tree cover, or method of locomotion. Prior work discussed a method for creating geometric hierarchies to describe the relative positions of unlabeled landmarks. Notably, the polygons from these hierarchies were used to perform accurate place recognition from observations containing partial overlap and sensor noise. Here, we use geometric hierarchies to perform robust data association for collections of virtually identical 2D landmarks in direct support of …

The Effect Of Angiogenesis On Thermal Properties Of In-Vivo Human Tissue, Shriya Musuku

Theses

Bioheat transfer is the study of heat transfer in biology. There are several sources of heat in biology including external ones such as surgical applications of heat, or internal ones like cancer tissue. Blood flow networks affect both types of processes and are often generated during disease phenomenon through a process called angiogenesis. This affects the properties of the tissue. Several attempts were made to model flow and heat transfer within various tissues through physical measurements or computer simulations. Both types of models used bioheat transfer models do not consider the geometry of vasculature at its most fundamental level. The …

Broadened Positive And Emotion Congruent Attentional Biases And Emotion Regulation, Michael Mctighe

Theses

Attentional processes or concentration of mental faculties is a vast area of research in the cognitive sciences that is complicated by an abundance of other variables. Evidence overwhelming suggests that exogenous attention is biased toward emotional stimuli. Prevailing theories suggest that positive emotions can improve attentional processes, and that a participant’s emotional state can lead people to better attend to congruent information. Systems associated with emotion regulation overlap with processes related to biased attention. This study sought to further explore the theories of broaden and build, and emotion congruence, while also exploring how emotion regulation influences various types of attentional …

Bert-Boosted Adaptive Learning, Dibyanshu Chatterjee

Theses

Knowledge Tracing is a machine learning technique that aids in monitoring a learner’s knowledge in a given learning environment. This thesis introduces a unified approach to adaptive learning, specifically with the use of Knowledge Tracing (KT) and other relevant machine learning models, that can aid in creating a personalized learning environment for a learner on an Intelligent Tutoring System (ITS). While contemporary ITS exemplars, such as Knewton and Adaptemy, strive to provide seamless adaptive learning experience, most such ITS platforms do so by employing individualized models, each tai- lored to distinct tasks, for example, some models may predict correctness of …