Physical Sciences and Mathematics Commons^™

Improving The Accuracy And Practicality Of Patient-Specific Dosimetry In 177lu Radiopharmaceutical Therapies, Avery Britvec Peterson

Wayne State University Dissertations

Radiopharmaceutical therapies (RPTs) have their roots in the initial discoveries of radiation and radiotherapy at the turn of the 20th century, but recent interest in the 177Lu- based RPTs 177Lu-DOTATATE and 177Lu-PSMA-617 have highlighted the need to investigate patient-specific, dosimetry-guided approaches to planning these therapies. These RPTs are currently administered in “one-size-fits-all” regimens of fixed activity injections and current dosimetry methodologies often have large uncertainties and are reliant upon reference values that do not necessarily apply to all patients. In this work, several ways to make patient-specific dosimetry in 177Lu-DOTATATE and 177Lu-PSMA- 617 RPTs more accurate or more accessible are …

Jets And Underlying Event In √S_Nn = 200 Gev P+Au Collisions At Rhic, Veronica Verkest

Wayne State University Dissertations

Small collision systems, such as that between a proton or deuteron and a heavy-ion, were originally studied to assess cold nuclear matter (CNM) effects but have produced surprising results at RHIC and the LHC over the last several years. Namely, observations of jet yield suppression (enhancement) in central (peripheral) p/d+A events have motivated further investigations into small systems, including the search for signs of Quark-Gluon Plasma (QGP) formation. This thesis focuses primarily on an analysis of correlations of hard and soft particle production in √s_NN = 200 GeV p+Au collisions in STAR. Jets and Underlying Event (UE) are measured at …

Heed The Warning Signs: The Effectiveness Of Message Popup Warnings For Deterring The Spread Of Misinformation, Hollis Greenberg

CCAC Theses and Dissertations

As false news can propagate to others rapidly, social media platforms employ multiple methods to combat misinformation. Debunking techniques are warning features embedded into a platform’s interface that alert readers of misinformation. These warnings have two goals: to “debunk” false information and to prevent the further spread of misinformation. Researchers have evaluated the effectiveness of debunking techniques to understand how users increase their awareness of misinformation, and what users do with the information given in warning messages. Message popup warnings are a newer and understudied type of debunking technique.

The overarching research question of this study was: Are message popup …

Empirical Assessment Of Remote Workers’ Cyberslacking And Computer Security Posture To Assess Organizational Cybersecurity Risks, Ariel Luna

CCAC Theses and Dissertations

No abstract provided.

Understanding The Role Of Tacit And Explicit Knowledge Hiding In Organizations, Darren Wiggins

CCAC Theses and Dissertations

Knowledge Hiding (KHi) is the deliberate act of withholding knowledge from others, driven by distrust. This distrust stems from three key factors: rationalized hiding, evasive hiding, and playing dumb. The latter two, evasive hiding and playing dumb, are particularly detrimental as they foster a cycle of mutual distrust within the workplace. To counteract this, organizations have significantly invested in promoting Tacit Knowledge (TK) and Explicit Knowledge (EK) sharing. These initiatives aimed to facilitate knowledge transfer, foster collaboration, enhance problem-solving capabilities, and strengthen social and interpersonal relationships.

Recent studies highlighted the importance of understanding the attributes linked to TK and EK. …

Using Ontological Methods To Compare Cybersecurity Maturity Model Certification 2.0 And Cobit 19, Aaron Marshall Ramey

CCAC Theses and Dissertations

Cybersecurity frameworks developed by a variety of organizations and implemented by a much larger collection of organizations differ in their focus and application. Whether designed by a private or government organization, the primary goal is to provide a framework to assess and reduce risk. The Department of Defense (DoD) has recently implemented the second version of the Cybersecurity Maturity Model Certification (CMMC 2.0). In some situations, compliance with CMMC 2.0 has already become mandatory for the Defense Industrial Base (DIB). Compliance will soon be required for all Large Businesses (LB) and Small Businesses (SB) within the DIB. While COBIT 19 …

Combating Disinformation On Social Media Networks With Media And Information Literacy Training For Social Media Network Users, Oscar Kwok Chao Ho

CCAC Theses and Dissertations

In the Internet age, social media networks (SMNs), such as Facebook (FB), Instagram (IG), and Twitter (TW), have gained popularity and become an essential part of human life. SMNs provide ease of connection to family, friends, and communities; however, they increase the chances social media network users (SMN users) will disclose private information (PI), causing critical harm to SMN users’ information privacy (IP). Furthermore, SMN users are exposed to significant amounts of disinformation, misinformation, or fake news, which they share without realizing the information is untrustworthy.

The goal of this developmental research was to investigate, examine, and understand the effects …

A Technique For Visualization Of Multivariate Categorical Data, Janice James

CCAC Theses and Dissertations

Multivariate Categorical Data (MCD) plays a significant role in many industries, and the ability to understand the data is critical for insight and decision making. Visualization is a key tool for understanding the data. This dissertation designed and implemented a novel technique for visualizing MCD called Pivoting Parallel Charts (PPC). The design of PPC was informed by studying several existing MCD visualization techniques.

PPC visualizes MCD as a sequence of parallel axes with affixed bar charts. A user-specified axis, called the pivot, acts as the crucial point of consideration for all data relationships. The bar charts are color-coded by the …

Development Of The Passphrase Alleviating Abstraction, Remembering, And Strength (Palabras) Method, Juan Manuel Madrid

CCAC Theses and Dissertations

The currently most used method for computer authentication is the password because it is simple to implement, and users are familiar with it. However, passwords are vulnerable to attacks that can be mitigated by increasing the complexity of the chosen password, particularly in length. One possible approach to increasing the complexity of passwords is by using passphrases. Passphrases can be easier to remember than a standard password, improving memorability. They can reduce the loss of work time and productivity related to forgotten passwords. To achieve the required balance between complexity and memorability, the concept of passphrase categories can be applied, …

Decreasing Cross-Coupling In The Tianlai Radio Antenna Array, Nadia Marie Schwartz Bolef

Scripps Senior Theses

The 21-cm line is the electromagnetic radiation spectral line created by the change in energy state of neutral hydrogen atoms. This signal can be used for intensity mapping, a method of mapping the large-scale structure of the universe at different redshifts. However, challenges are being faced in the designing and building of the radio antenna arrays used to detect the 21-cm line signal. Currently, cross-coupling between antenna feeds is introducing beam errors and correlated noise that could overpower the signal. One possible solution we are working on is to use a phased array of antenna feeds instead of dishes and …

A Road Map For Place Based Collaboration For Conflict Reduction, Joseph L. Zecher

Undergraduate Theses, Professional Papers, and Capstone Artifacts

No abstract provided.

Creation Of A Digital Storage System For Genome Sequencing Metadata, Jacquelin W. Olexa

Undergraduate Theses, Professional Papers, and Capstone Artifacts

As the field of computational genomics continues to expand in both potential and application, it is now more imperative than ever to ensure that massive genetic sequencing datasets are properly stored in an accessible manner. This project sought to establish a practical, user-friendly, secure system for a genomics research lab (the Good Lab; thegoodlab.org) at the University of Montana. A MySQL database and connected web application was ruled the best configuration to maximize utility and accessibility for the lab’s researchers. Building the logical framework for the database, creating the server, and sourcing data occurred over several months. The dataset ranged …

Effects Of El Nino And Sunspot Cycles On Global And Reginal Climate, August Nathan Tolzman

Undergraduate Theses, Professional Papers, and Capstone Artifacts

Sunspots and El Nino affect the interannual variability of temperature on earth. Separately there is a positive relationship between higher sunspots and warmer temperatures or more intense El Nino and warmer temperatures globally and in Missoula. This is with the bias of climate change removed. Putting these two processes together it is expected that when intense El Ninos and high sunspots happen in the same year there will be warmer temperatures. This was not the case, there was no data to support that putting these to processes together makes them more or less intense.

Improving Accessibility And Understanding: Studying The Impact Of Human Activities And Dam Removals On Anadromous Fish Species In The Pacific Northwest, Adia F. Bennett

Scripps Senior Theses

Human activities in North American watersheds have significantly impacted anadromous fish, causing some species of salmon and steelhead to become threatened and endangered. These fish hold ecological, cultural, and economic importance, yet factors such as habitat destruction, overfishing, pollution, climate change, and hydroelectric dams continue to degrade populations. Dams are particularly harmful to anadromous fish, sparking a recent movement advocating for dam removals. This study uses NOAA’s 2022 Biological Viability Assessment to examine the response of anadromous fish to recent dam removals in the Pacific Northwest. Four populations were selected to analyze due to their interaction with sites that had …

Geographically Dependent Thermodynamic And Geochemical Evolution In The Post-Batholith Upper Mantle Beneath The Sierra Nevada: Analysis Of The Blue Knob Xenoliths, Eleanor Ruos

Scripps Senior Theses

Xenoliths entrained in recent (Miocene) volcanics from the Sierra Nevada provide insights into a continuously evolving upper mantle during post-batholith generation periods (early Cenozoic–present). Hypothesized mantle refertilization followed by subsequent delamination of the lithospheric root beneath the Sierra provides a contextual framework for analyzing how the upper mantle responds to such events. This study contributes new geochemical data from the ultramafic xenoliths of Blue Knob, including bulk-rock major and trace element data, thin-section petrography, mineral chemistry and thermobarometry, and oxygen isotopes (delta¹⁸O). Blue knob (Eastern Sierra) data are compared to previous works on xenoliths from Chinese Peak and …

Comparative Analysis Of Data Augmentation On Sentiment Analysis In Three Distinct Languages, Hyesu Lee

All Graduate Theses, Dissertations, and Other Capstone Projects

Machine learning in natural language processing analyzes datasets to make future predictions for various filed in the real world. By training machine algorithms on the datasets of text, the model can learn patterns and structure of the text in many different languages. Then the model enables to perform the text classification, sentiment analysis, and other tasks. A large and balanced dataset is required to develop an accurate machine learning model. However, the collection of a reliable, large, and equally distributed dataset is a challenging and requires significant resources and time. As a solution to this challenge, a data augmentation technique …

The Process Of Video Game Development: Watermelon Willy, Jade Westgor

University Honors Program Senior Projects

Developing a video game requires and provides skills that can be very helpful for computer science students, as well as skills that relate to storytelling/worldbuilding, organization, and artistic expression. This paper goes over the process I have taken in order to design, develop, and evaluate the game Watermelon Willy from the very start to alpha testing. The process started some time ago with the idea being present in my head for a while, however the project started with some basic storyboards to map out some of the fundamental aspects of the game. Coding began with a simple template, which was …

The Independence Polynomial Of A Graph At −1, Phoebe Rose Zielonka

Theses, Dissertations and Culminating Projects

No abstract provided.

Application Of Machine Learning Algorithms To Evaluate The Changes In Energy Consumption In The Leinster Area And Subsequently The Impact On Consumer Behaviour In The Commercial Sector., Maria Dominguez Alvarenga

ICT

This study focuses on predicting electricity consumption through data analytics and ensemble learning methods, addressing fluctuations influenced by external economic factors. Techniques like Gradient Boosting Regressor (GBR) and Random Forest Regressor (RFR) proved effective due to their ability to generalise well with new data. CRISP-DM served as the guiding methodology, supported by robust preprocessing techniques such as winsorisation to handle outliers, feature selection to refine variables, and scaling to standardise data for improved model performance.

The research involved datasets from non-residential clients and data centres, uncovering consumption patterns through visualisations in Tableau. Analysis showed that County Dublin and Kildare were …

Assessment Of The Impact Of Various Feature Extraction Techniques On The Effectiveness Of Music Genre Classification In Neural Network Models., Sabhdh Grace

ICT

This research focuses on Music Genre Classification (MGC) using Convolutional Neural Networks (CNNs) and various datasets, including raw audio files (WAV) and extracted features such as Mel Spectrograms (MS), Mel-Frequency Cepstral Coefficients (MFCC), and Chroma Features (CF). The study employs Explanatory Sequential Mixed Methods (ESMM), combining qualitative research and experimental analysis to explore different model inputs and their performance. Several CNN-based models, including 2D CNN, 2D CNN-LSTM, 1D CNN, and 1D CNN-LSTM, were tested. However, the models generally underperformed, with most achieving accuracy of 10% or lower, and the best model (raw audio 1D CNN) reaching only 20%. The research …

Comparison Of Classification Methodologies Using Convolutional Neural Networks In A Dataset Of Plant Leaf Diseases., Ruairi O’Donohoe

ICT

This project investigates the impact of classification methodology selection on the performance of four Convolutional Neural Network (CNN) models applied to a multi-label image dataset. The dataset consists of plant leaf images with one or more diseases. Two classification methodologies—multi-label and multi-class—are compared based on their model performance metrics. It was hypothesised that multi-label classification would perform better, but the results show that although multi-label models performed better for Loss and Accuracy metrics, they underperformed in terms of the F1 score, which is considered a more appropriate metric for this task. This surprising result refutes the initial hypothesis. Transfer learning …

Using Machine Learning To Identify Hate Speech And Offending Language On Twitter., Mayara Lorens, Thayene Lorens

ICT

This project focuses on applying Machine Learning (ML) techniques to detect hate speech and offensive language on Twitter, addressing ethical concerns like cyberbullying and fostering a safer online environment. The topic is chosen for its societal significance and business relevance, as hostile online behaviour negatively impacts user experiences and platform credibility.

To achieve this, the study implements four distinct ML models to develop an automated system capable of identifying and categorising content as offensive, non-offensive, or neutral. The system aims to contribute to mitigating harmful interactions on social media and improving user safety by effectively classifying potentially problematic content.

The …

Project Final Report Watershed Center Of Excellence, Kentucky Water Resources Research Institute

KWRRI Research Reports

With the goal of providing a structured foundational background for watershed management to Kentucky’s watershed coordinators and other water quality professionals, the Kentucky Water Resources Research Institute developed the Kentucky Watershed Academy, a six-module series of core training content. The modules address the following subject areas:

• Module 1: The Clean Water Act & Related Water Quality Laws

• Module 2: Water Quality Basics

• Module 3: Dealing with Data

• Module 4: Land Use Impacts & Related Best Management Practices

• Module 5: Likely Partners

• Module 6: Effective Communications

As a result of this project, a total of …

Constructed Language (Conlang) Audio Honing, Ronald B. Oakes

CCAC Theses and Dissertations

An important aspect of a constructed language (conlang) is how it sounds when spoken. This dissertation designs and implements a tool to allow the user to hear how their conlang sounds when spoken. This tool will generate spoken language based on sample text in the constructed language. Further, it will enable the user to manipulate the phonetics of the language and hear how these changes impact the language in its spoken form.

This tool also allows users to assess the preferability of the language’s phonetics using Net Auditory Distance under the framework of Beats-and-Bindings Phonology. It was shown that the …

Maximizing Mining Operations: Unlocking The Crucial Role Of Intelligent Fleet Management Systems In Surface Mining’S Value Chain, Arman Hazrathosseini, Ali Moradi Afrapoli

Earth and Environmental Sciences Faculty Publications

On the one side, the operational expenses of mining enterprises are showing an upward trend; and on the other side, conventional mining fleet management systems (FMSs) are falling short in addressing the high-dimensionality, stochasticity, and autonomy needed in increasingly complex operations. These major drivers for change have convinced researchers to search for alternatives including artificial-intelligence-enabled algorithms recommended by Mining 4.0. The present study endeavors to scrutinize this transition from a business management point of view. In other words, a literature review is carried out to gain insight into the evolutionary trajectory of mining FMSs and the need for intelligent algorithms. …

Studies In Prefix Rewriting, Ashley Marie Suchy

Legacy Theses & Dissertations (2009 - 2024)

In this dissertation, we introduce computational problems with respect to prefix grammars and introduce a new concept called \emph{left-linear phrase-structure grammars}.

The Role Of Atmospheric And Oceanic Feedbacks In Orbital And Millennial Timescale Variability Of The Coupled Climate-Carbon System, Fangze Zhu

Legacy Theses & Dissertations (2009 - 2024)

An intriguing mechanism of the Pleistocene glacial-interglacial cycles is the phase locking of internal climate oscillations to external forcings, suggesting the leading role of the natural climate variability in the past climate changes on orbital timescales. Similarly, the millennial-scale variability over the last glacial period may be attributed to unforced climate dynamics. One of the central themes of the climate sciences is to acquire a fundamental understanding of climate feedbacks over a broad range of timescales. The main objective of this thesis is to identify the characteristic natural variability in a fully coupled climate-carbon model from orbital to millennial timescales, …

Development Of Small Ligands Targeting Pathogenic Rna Repeats In Neurodegenerative Diseases, Zhihua Chang

Legacy Theses & Dissertations (2009 - 2024)

Pathogenic microsatellite RNA expansions are toxic and can cause neuronal degeneration and dysfunction. Therapeutics that eliminate or neutralize these RNA repeats hold great promise for the treatment of many neurodegenerative diseases because they are uniformly fatal but there is no effective treatment available today. New compounds targeting these pathogenic RNA repeat sequences represent new hope to treat these diseases. The overall goal of my dissertation is to develop a high-throughput screening assay to identify small ligands as potential drug candidates against disease-associated RNA repeats and probe binding mechanisms to guide the design of optimized drug candidates, and eventually validate therapeutic …

Modeling The Wall Background In The Lux-Zeplin (Lz) Dark Matter Experiment, Nishat Parveen

Legacy Theses & Dissertations (2009 - 2024)

Dark matter is still one of the greatest unsolved enigmas of modern science. There is a wealth of evidence for dark matter, yet the detection and the fundamental properties of dark matter particles, which make up about 86% of the mass of our Universe, are still elusive. Direct detection experiments probe the interactions between the dark matter particles and some target nuclei inside particle detectors in a low background environment. LUX-ZEPLIN (LZ) is a direct detection dark matter experiment located at the 4850 ft. level of the Sanford Underground Research Facility in Lead, South Dakota, United States. The LZ experiment …

The Influence Of Volcano Edifice Resonance On The Seismic Triggering Of Thermal Activity At Active Volcanoes, Morgana M. Wilke

Dissertations, Master's Theses and Master's Reports

There is an established correlation between large earthquakes and volcanic unrest, however the mechanisms between this connection are not well understood. Relatively small changes in stress within a volcanic system could be enough to initiate a response. One aspect that could serve to amplify small dynamic stress changes is volcanic edifice resonance triggered by surface waves at resonant frequency. In this paper, we investigate the relationship between thermal activity of volcanoes and various minimum thresholds of Love wave amplitudes at resonance caused by teleseismic earthquakes above a 7.0 M. Satellite-derived thermal data from 25 volcanoes are modeled in relation to …