Digital Commons Network^™

Sharprazor: Automatic Removal Of Hair And Ruler Marks From Dermoscopy Images, Reda Kasmi, Jason Hagerty, Reagan Harris Young, Norsang Lama, Januka Nepal, Jessica Miinch, William V. Stoecker, R. Joe Stanley

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Background: The removal of hair and ruler marks is critical in handcrafted image analysis of dermoscopic skin lesions. No other dermoscopic artifacts cause more problems in segmentation and structure detection. Purpose: The aim of the work is to detect both white and black hair, artifacts and finally inpaint correctly the image. Method: We introduce a new algorithm: SharpRazor, to detect hair and ruler marks and remove them from the image. Our multiple-filter approach detects hairs of varying widths within varying backgrounds, while avoiding detection of vessels and bubbles. The proposed algorithm utilizes grayscale plane modification, hair enhancement, segmentation using tri-directional …

Incorporating Crash Severity And Continuous Improvement Of Shift, Reginald Souleyrette, Riana Tanzen, Teng Wang

Kentucky Transportation Center Research Report

The Strategic Highway Investment Formula for Tomorrow (SHIFT) is the Kentucky Transportation Cabinet's data-informed approach for comparing capital improvement projects and prioritizing limited transportation funds. SHIFT 2022 incorporates advancements in methods and flexibility. This project revises the SHIFT crash data safety metric. The crash data safety metric from the previous version of SHIFT was excess expected crashes (EECs). It is computed using the total number of crashes of all severities. Locations with a higher proportion of severe (fatal and injury) crashes received the same weight as locations with an equal number of property damage only crashes. This project redefines the …

Incorporating Variability In Kytc Planning And Project Development, Reginald Souleyrette, Teng Wang, Riana Tanzen, Arnold Stromberg

Kentucky Transportation Center Research Report

Transportation planning and design decisions are typically made using point estimates of traffic and safety measures. This report addresses the uncertainty of data used to make these decisions. It focuses on two data elements — project safety ratings and volume estimates from traffic counts. For safety ratings, the Kentucky Transportation Cabinet’s Strategic Highway Investment Formula for Tomorrow (SHIFT) crash history score is used as a case study. Confidence intervals are developed for the Cabinet’s new safety metric, which incorporates estimates of future crashes by severity as well as excess expected crashes above safety goals. For traffic counts, the report develops …

The Influence Of In-School Time (Ist) And Out-Of-School Time (Ost) Learning Experiences On Aviation Career Entry, Andrew Koch

Doctoral Dissertations and Master's Theses

Increased demand for aviation has created a skill and workforce gap. An understanding of how to increase this potential workforce is vital to ensure the ongoing success and sustainability of the commercial aviation industry. This research explores science, technology, engineering, and math (STEM) programs as a potential avenue for increasing the available aviation workforce. Specifically, it explores how STEM programs and their associated learning experiences influence career entry.

Utilizing a mixed methodology approach, this research retrospectively explored the self-reported effect of out-of-school time (OST) and in-school time (IST) STEM experiences on aviation career development. Through interviews, a survey instrument was …

A Simulation Of The Impacts Of Climate Change On Civil Aircraft Takeoff Performance, Thomas D. Pellegrin

Doctoral Dissertations and Master's Theses

Climate change affects the near-surface environmental conditions that prevail at airports worldwide. Among these, air density and headwind speed are major determinants of takeoff performance, and their sensitivity to global warming carries potential operational and economic implications for the commercial air transport industry. Previous archival and prospective research observed a weakening in headwind strength and predicted an increase in near-surface temperatures, respectively, resulting in an increase in takeoff distances and weight restrictions. The main purpose of the present study was to update and generalize the extant prospective research using a more representative sample of worldwide airports, a wider range of …

Assessing High Dynamic Range Imagery Performance For Object Detection In Maritime Environments, Erasmo Landaeta

Doctoral Dissertations and Master's Theses

The field of autonomous robotics has benefited from the implementation of convolutional neural networks in vision-based situational awareness. These strategies help identify surface obstacles and nearby vessels. This study proposes the introduction of high dynamic range cameras on autonomous surface vessels because these cameras capture images at different levels of exposure revealing more detail than fixed exposure cameras. To see if this introduction will be beneficial for autonomous vessels this research will create a dataset of labeled high dynamic range images and single exposure images, then train object detection networks with these datasets to compare the performance of these networks. …

Autonomous Space Surveillance For Arbitrary Domains, David Zuehlke

Doctoral Dissertations and Master's Theses

Space is becoming increasingly congested every day and the task of accurately tracking satellites is paramount for the continued safe operation of both manned and unmanned space missions. In addition to new spacecraft launches, satellite break-up events and collisions generate large amounts of orbital debris dramatically increasing the number of orbiting objects with each such event. In order to prevent collisions and protect both life and property in orbit, accurate knowledge of the position of orbiting objects is necessary. Space Domain Awareness (SDA) used interchangeably with Space Situational Awareness (SSA), are the names given to the daunting task of tracking …

Optical Orbit Tracking And Estimation, Matthew Gillette

Doctoral Dissertations and Master's Theses

Angles-only initial orbit determination methods are currently limited in their use as they require some prior knowledge of where the observed object will be and when it will be there. This research aims to produce a viable method to automate this process so that objects whose trajectories are not saved in a user’s catalog can be observed. A method is devised using a novel approach to satellite recognition in an image. This method is used in addition to Astrometry to determine the right ascension and declination of the object. This information is then used to either obtain the initial conditions …

Using Capillary Electrophoresis To Quantify Competitive Binding Of Adsorbates To Silver Nanoparticles, Christopher D. Chung , '23

Senior Theses, Projects, and Awards

Silver nanoparticles (AgNPs) are increasingly used commercially and medically due to their antimicrobial and antibacterial properties. With increased use comes increased release of AgNPs into the environment, and once released, AgNPs can form coronas with molecules ranging from biomolecules to proteins to natural organic matter (NOM). The molecules in the corona adsorb to the surface of the AgNPs, drastically altering their innate properties such as cytotoxicity and binding behavior. In this study, we characterize and quantify model AgNP-adsorbate systems by obtaining their relevant reaction parameters through three different affordable analytical techniques, including dynamic light scattering (DLS), UV-vis spectroscopy, and capillary …

Biophysical And Structural Characterization Of Non-Canonical Dna Structures, Paul C. Seth , '23

Senior Theses, Projects, and Awards

G-quadruplex (GQ) and i-motif (iM) non-canonical DNA structures can be formed by G- and C-rich sequences within the genome, respectively. GQ and iM DNA play important roles in different biological processes and are promising therapeutic targets. Recently, the first left-handed GQ (LHGQ) was discovered and much remains to be learned about the structure and function of LHGQ DNA.

In this thesis, we investigate the biophysical and structural behavior of two LHGQ-forming sequences from the human genome, from the Human Solute Carrier 1 (SLC) and nuclear receptor binding SET domain (NSD) genes. We found that flanking bases play an important role …

Raise The Sun: A Qtbipoc Zine Workshop, Chris O. Stone , '23

Senior Theses, Projects, and Awards

No abstract provided.

Method Design For Separation Of Non-Canonical Dna Structures Via Capillary Electrophoresis, Erin V. Chen , '23

Senior Theses, Projects, and Awards

G-quadruplex DNA structures are highly relevant subjects of biochemical study, implicated in human diseases and cancer. Conventional methods for G-quadruplex DNA structure separation are time-consuming, environmentally unfriendly, and low throughput. Thus, there is a pressing need for alternative methods of separation to be developed for G-quadruplex DNAs. Here we present work in designing a separation method using the capillary electrophoresis instrument. Capillary electrophoresis is a highly automated, reusable, and quantitative technique that separates analytes based on their size and charge. A capillary method for G-quadruplex separation would be a valuable analytical tool to supplement the biophysical methods available by addressing …

Capabilities Of Conductive Thread Twisted-And-Coiled Actuators As Sarcomeres, Bryan T. Le , '23

Senior Theses, Projects, and Awards

Twisted-and-coiled actuators (TCAs) have shown great potential as an artificial muscle for robotics in terms of material cost and production expenses. However, the power-to-force efficiency of these artificial muscles falls short of biological muscles. Soft robotics takes inspiration from biological organisms for more natural movement, and biological mimicry helps increase the efficiency of robotics. Taking inspiration from how sarcomeres are structured in natural muscles, improvements in the energy efficiency of artificial muscles are possible. In this paper, an experiment was designed to analyze the effects on the efficiency of emulating biological sarcomere structures in artificial muscles. Specifically, this experiment used …

Embroidered Calculator, Judith Weng Zhu , '23

Senior Theses, Projects, and Awards

A calculator was designed with textiles and embroidering techniques. The surface of the calculator is made of fabric and the keypad is made out of embroidered conductive thread. The inputs and calculations are displayed on an OLED screen display. All controls and calculations are operated by a FLORA microcontroller, which was coded through Arduino IDE. The entire calculator is powered by three AAA batteries. Users will be able to input numbers (0 to 9) and four different operations (addition, subtraction, multiplication, and division) by pressing the embroidered keys, which work through capacitive touch. Numbers can be modified to be positive …

Cov And Underspecified Nouns: A Syntactic And Semantic Analysis Of Hmong Classifiers, William L. Ball , '23

Senior Theses, Projects, and Awards

Hmong nominal classifiers are quite complex. One clear rule however is that double classifiers are not allowed. Surprisingly, then, there is a double classifier construction involving the classifier cov and underspecified nouns that appears to break these rules. The goal of this thesis is to resolve this problem, syntactically and semantically modeling Hmong classifiers along the way. After giving background on the literature on Hmong classifiers, I develop a syntactic model for Hmong classifiers based on the Minimalist Program and Distributed Morphology, and use Link’s semantic model of plurality to make sure the syntactic model works out semantically. Then I …

Factors Affecting Groundwater Nitrate Concentration In Madinah Area, Saudi Arabia, Majed M. Almutairi

Masters Theses

High levels of nitrate in groundwater are a serious problem in Madinah Area, Saudi Arabia. Identifying factors affecting groundwater nitrate contamination is important for managing groundwater quality. This study examined factors that have significant impacts on the high level of groundwater nitrate in Madinah Area. Factors examined included well-depth and land cover. Relationships between variables were explored using three statistical approaches: the Kruskal-Wallis test and two types of regression (ordinary least squares [OLS] and geographically weighted regression [GWR]).

Nitrate concentration data show that 73% of obtained groundwater samples exceeded the United States Environmental Protection Agency (EPA) maximum contaminant level (MCL) …

Analysis Of Small Lake Water Level Fluctuations By Remote Sensing In Twin Lake, Michigan., Eric Carballido

Masters Theses

Accurate analysis of lake level fluctuations is critical for water resources management. However, it remains a challenge to estimate lake level fluctuations in ungauged small lakes such as East Twin Lake. Located in Twin Lake, Michigan, East Twin Lake has experienced a drastic reduction in water surface area since 2020. To understand the nature of water level fluctuations in East Twin Lake, this study utilized a combination of Landsat and National Agriculture Imagery Program (NAIP) data to make surface water area estimations of East Twin Lake for the period of 1993-2022. In total, 27 years of water surface area estimations …

Concept Validation: Collecting Composite Samples To Understand The Presence Of Per- And Polyfluoroalkyl Substances (Pfas) In Michigan Forested Areas, Nicole Renee Sanabria

Masters Theses

This research discusses the results of a state-wide study conducted by The Michigan Department of Environment, Great Lakes, and Energy to assess the presence of PFAS in shallow soils of state-owned forested areas in Michigan utilizing a composite sampling method. One sample collected from each of Michigan’s 83 counties reveals the presence of PFAS in all but one sample, with total PFAS concentrations ranging from non-detect to 2.016 μg/kg (dry weight). PFOS is generally detected at the highest concentrations, ranging from non-detect to 0.88 μg/kg, followed by PFBA, with concentrations ranging from non-detect to 0.69 μg/kg, and PFOA, with concentrations …

James And Peirce On The Importance Of Individuals: The Differences That Make A Difference, Susan Haack

Articles

No abstract provided.

Evaluating Neutron Star Binding Energies Using Rotating Accreting Models, Nathan Moore

Honors Theses

Neutron star binding energy increases due to accreting matter from neighboring astronomical bodies, and decreases due to the star spinning up, increasing its angular velocity. We present a novel set of models that account for both increasing angular velocity and accreting matter to track a neutron star’s evolution. We arrive at these models through studying and reconfiguring computational investigations from the past, particularly a code which generates a model for a given fixed baryon mass and angular velocity and another that takes it from one baryon mass and angular velocity to the next one through accretion, to obtain a full …

Rage Inhibitors In Neurodegenerative Diseases, V. Prakash Reddy, Puspa Aryal, Pallavi Soni

Chemistry Faculty Research & Creative Works

Nonenzymatic Reactions of Reducing Sugars with Primary Amino Groups of Amino Acids, Proteins, and Nucleic Acids, Followed by Oxidative Degradations Would Lead to the Formation of Advanced Glycation Endproducts (AGEs). the AGEs Exert Multifactorial Effects on Cell Damage Leading to the Onset of Neurological Disorders. the Interaction of AGEs with the Receptors for Advanced Glycation Endproducts (RAGE) Contribute to the Activation of Intracellular Signaling and the Expression of the Pro-Inflammatory Transcription Factors and Various Inflammatory Cytokines. This Inflammatory Signaling Cascade is Associated with Various Neurological Diseases, Including Alzheimer's Disease (AD), Secondary Effects of Traumatic Brain Injury (TBI), Amyotrophic Lateral Sclerosis …

Fisheries Science Update - Gascoyne Demersal Scalefish Resource - April 2023, Department Of Primary Industries And Regional Development, Western Australia

Fisheries Science Updates

Key points: 2022 stock assessment outcomes:

• The Gascoyne Demersal Scalefish Resource (GDSR) comprises more than 60 species inhabiting Gascoyne oceanic waters (excluding inner Shark Bay), with pink snapper and goldband snapper recognised as the two indicator species.
• Oceanic pink snapper is five years into a 20-year recovery plan following a 2017 stock assessment that showed the stock was at severe risk.
• The GDSR oceanic pink snapper recovery plan is based on limiting the annual total fishing mortality of oceanic pink snapper to 100 tonnes (all sectors combined) and providing targeted protection for key spawning aggregations.
• The Department of Primary Industries …

A Glimpse Into Arkansas Teachers’ Grading Practices, Sarah Morris, Sarah C. Mckenzie

Education Reform Faculty and Graduate Students Publications

This case study assesses the current, self-reported grading practices among Arkansas teachers. We distributed a Teachers’ Grading Perceptions survey in November, 2022, and we conducted semi-structured interviews with teachers and principals in January-February, 2023. We gathered both quantitative and qualitative data from the teacher survey, and we used interviews to collect themes for current grading practices in Arkansas’s schools. We generated a grading equity scale from the survey questions, verified by a reliable alpha coefficient = 0.83, and we use this in a multivariate regression to explore teacher characteristics and their likelihood of favoring grading equity practices. We collected themes …

The Beginning, Development And Impact Of Chatgpt In The Digital Age, Zhixiao Zhao, Dongbo Wang

Journal of Scientific Information Research

[Purpose/significance]The emergence of ChatGPT has brought significant changes to the whole society, and to this day, its impact is still spreading, Experts, scholars and news media have broadly discussed it. As a major progress in the field of natural language processing, ChatGPT carries too much attention and expectations. As an important battlefield in the field of natural language processing, information resource management should give full play to the advantages of disciplines under this technological change and drive the development of disciplines with technology.[Method/process] Starting from the origin of ChatGPT, this paper introduces the development path of GPT model, and summarizes …

Computing Circuit Polynomials In The Algebraic Rigidity Matroid, Goran Malić, Ileana Streinu

Computer Science: Faculty Publications

We present an algorithm for computing circuit polynomials in the algebraic rigidity matroid A(CM_n) associated to the Cayley-Menger ideal CM_n for n points in 2D. It relies on combinatorial resultants, a new operation on graphs that captures properties of the Sylvester resultant of two polynomials in this ideal. We show that every rigidity circuit has a construction tree from K₄ graphs based on this operation. Our algorithm performs an algebraic elimination guided by such a construction tree, and uses classical resultants, factorization and ideal membership. To highlight its effectiveness, we implemented the algorithm in …

Great Commission Research Journal Spring 2023, David R. Dunaetz

Great Commission Research Journal

No abstract provided.

Investigating Collaborative Problem Solving Temporal Dynamics Using Interactions Within A Digital Whiteboard, Hua Leong Fwa

Research Collection School Of Computing and Information Systems

Collaborative Problem Solving, the resolution of complex problems with the collaboration of multiple peoplepooling their knowledge, skills and effort is postulated as an essential 21st century skills for the futureworkforce. Collaborative Problem Solving has been embraced in schools where both online and face-to-face collaboration are afforded through the proliferation of educational technology tools. Assessing the amount of collaboration that has taken place among the students has however been challenging. In this research, we seek to identify the collaboration patterns of our students by mining the temporal sequence of their actions logs captured within a digital whiteboard tool. With the use …

Mimusa: Mimicking Human Language Understanding For Fine-Grained Multi-Class Sentiment Analysis, Zhaoxia Wang, Zhenda Hu, Seng-Beng Ho, Erik Cambria, Ah-Hwee Tan

Research Collection School Of Computing and Information Systems

Sentiment analysis is an important natural language processing (NLP) task due to a wide range of applications. Most existing sentiment analysis techniques are limited to the analysis carried out at the aggregate level, merely providing negative, neutral and positive sentiments. The latest deep learning-based methods have been leveraged to provide more than three sentiment classes. However, such learning-based methods are still black-box-based methods rather than explainable language processing methods. To address this gap, this paper proposes a new explainable fine-grained multi-class sentiment analysis method, namely MiMuSA, which mimics the human language understanding processes. The proposed method involves a multi-level modular …

Code Will Tell: Visual Identification Of Ponzi Schemes On Ethereum, Xiaolin Wen, Kim Siang Yeo, Yong Wang, Ling Cheng, Feida Zhu, Min Zhu

Research Collection School Of Computing and Information Systems

Ethereum has become a popular blockchain with smart contracts for investors nowadays. Due to the decentralization and anonymity of Ethereum, Ponzi schemes have been easily deployed and caused significant losses to investors. However, there are still no explainable and effective methods to help investors easily identify Ponzi schemes and validate whether a smart contract is actually a Ponzi scheme. To fill the research gap, we propose PonziLens, a novel visualization approach to help investors achieve early identification of Ponzi schemes by investigating the operation codes of smart contracts. Specifically, we conduct symbolic execution of opcode and extract the control flow …

Does Deep Learning Improve The Performance Of Duplicate Bug Report Detection? An Empirical Study, Yuan Jiang, Xiaohong Su, Christoph Treude, Chao Shang, Tiantian Wang

Research Collection School Of Computing and Information Systems

Do Deep Learning (DL) techniques actually help to improve the performance of duplicate bug report detection? Prior studies suggest that they do, if the duplicate bug report detection task is treated as a binary classification problem. However, in realistic scenarios, the task is often viewed as a ranking problem, which predicts potential duplicate bug reports by ranking based on similarities with existing historical bug reports. There is little empirical evidence to support that DL can be effectively applied to detect duplicate bug reports in the ranking scenario. Therefore, in this paper, we investigate whether well-known DL-based methods outperform classic information …