Digital Commons Network^™

Evaluating The Effectiveness Of Benguet Pine (Pinus Kesiya) Xylem For Deep Well Water Filtration, Allen Conner C. Hizon, Robert Zachary M. Santos, Juan Jose B. Lacson, Jefferson Danilo G. Villarin, Juan Carlo T. Gumangan

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Even today, many rural and remote communities still do not have access to safe drinking water, which is a basic right of every human. To address this problem, the effectiveness of the Benguet pine tree (Pinus kesiya) xylem as a sustainable water filtration method for well water was investigated. The physical and chemical properties of the filtered and unfiltered deep well water were tested: the total dissolved solids (TDS) and the electrical conductivity using a 5-in-1 electronic water quality tester and the pH level using pH strips. On the other hand, the microbiological metrics, such as heterotrophic plate …

A Clustering-Based Location Allocation Method For Delivery Sites Under Epidemic Situations, Yaqiong Zhou, Junqi Chen, Weishi Li, Sihang Qiu, Rusheng Ju

Journal of System Simulation

Abstract: To address the poor performance of commonly used intelligent optimization algorithms in solving location problems—specifically regarding effectiveness, efficiency, and stability—this study proposes a novel location allocation method for the delivery sites to deliver daily necessities during epidemic quarantines. After establishing the optimization objectives and constraints, we developed a relevant mathematical model based on the collected data and utilized traditional intelligent optimization algorithms to obtain Pareto optimal solutions. Building on the characteristics of these Pareto front solutions, we introduced an improved clustering algorithm and conducted simulation experiments using data from Changchun City. The results demonstrate that the proposed algorithm outperforms …

An In-Depth Analysis And Comparison Of Eco And Non-Eco Surfboard Waxes, Markos Kaskaneas - Efthymiou

The Plymouth Student Scientist

Questions regarding the sustainability of petroleum-based surfboard waxes gave rise to the development and marketing of a sustainable alternative called “Eco” surf wax. The chemistry behind surf waxes is generally unknown and there is no published research on the area of surf waxes. In this analysis, the chemical properties of both types of waxes were investigated, to determine the difference between non-eco and eco waxes and between different water temperature rating waxes. 15 surf wax samples (10 non-eco, 5 eco) were extracted into organic and inorganic fractions and analysed by FT-IR, GC-MS, and HTGC-FID/MS. Multivariate statistical analysis was also performed. …

Developing A Method To Identify Tyre Particles By Detecting Benzothiazole Via Gc-Ms, Emma Paull

The Plymouth Student Scientist

Tyre particles are a dominant source of microplastic pollution in our environment. However, their chemical and physical properties are poorly understood and no standardised methods for identifying and quantifying them exist. This study looked to develop a method to identify tyre particles using two tyre samples of differing particle sizes, fine (62 - 125 µm) and coarse (250 – 500 µm). Both samples underwent ultrasound-assisted extraction before being analysed via gas chromatography-mass spectrometry (GC-MS) in both full scan and SIM mode, using benzothiazole as a marker. Both samples were also analysed via particle size analysis, scanning electron microscopy (SEM) and …

Synthesis And Characterisation Of An Acetylcholinesterase Inhibitor, Elijah Rahman-Riding

The Plymouth Student Scientist

Acetylcholinesterase (AChE) inhibitors are currently the only effective treatment for people with Alzheimer’s disease (AD), a fatal neurodegenerative disease that affects 50 million people worldwide at present but is expected to rise dramatically over the next 30 years. The aim of this research was to synthesise an AChE inhibitor derivative of tacrine, 4-chloro-2(((1,2,3,4-tetrahydroacridin-9yl)imino)methyl)phenol (chlorophenol tacrine). This was achieved by first synthesising tacrine, evidencing successful synthesis and assaying purity of the product, then, synthesising a simple derivative, acetyl tacrine, before chlorophenol tacrine. At every stage of the investigation comprehensive structural analysis of each product was obtained using FT-IR, CHN analysis, GC-FID, …

Investigation Of The Use Of Nanotechnology In Food Packaging, Ollie-May Woodland

The Plymouth Student Scientist

This review discusses topics related to the use and development of nanotechnology and nanomaterials in food packaging applications. The accelerated use of these technologies brings about relevant safety, environmental, ethical and legislative/ regulatory concerns and as such the aim of this work is to assess the viability of the use of current commercialised nano-enabled packaging and to evaluate the potential future trends in the progression of these technologies against public opinion and potential risk(s). The data for this report was collected through comprehensive research of nanotechnology and its applications, specifically the packaging industry in the food sector. An online survey …

Development Of A Real-Time Convolution System To Simulate Speech In Different Rooms For The Study Of Vocal Strain, Bethany E. Wu

Theses and Dissertations

Due to prevalent vocal health issues in teachers, the acoustics of K-12 classrooms has become a topic of study in acoustics. One way to understand the effects of a classroom's physical space on speech is with vocal effort studies. This thesis aims to enable these studies, without the need to move a talker from room to room, by creating auralizations through real-time convolution of speech with oral binaural room impulse responses (OBRIRs). These auralizations can be used to test talkers inside an anechoic chamber as they experience speaking in different acoustical environments. A system that can successfully execute convolution in …

Privacy Protection In Machine Learning Via Exploitation Of Constrained Adversarial Evasion, Brian Testa

Dissertations - ALL

Deep neural networks are extensively applied to real-world tasks. In many cases, the data feeding these tasks are human generated content, which emphasizes the criticality of privacy and data protection. The diverse modalities of this user data provide fertile ground for 3rd parties to monetize a user’s data. This work considers two such modalities: user speech when interacting with smart speaker voice assistants (VAs) and images shared with online service providers. In these cases, the user would like to support some form of machine learning (ML) inference without allowing others. A user interacting with a smart speaker would like the …

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s Disease (AD) is the leading cause of dementia, characterised by cognitive and functional impairments that disrupt daily activities. Different clinical modalities such as neuroimaging biomarkers, cognitive assessments, fluid biomarkers and genetic data provide unique and complementary information, contributing to a more comprehensive understanding of disease progression and heterogeneity in disease characteristics. With recent advancements in computational capabilities, particularly in deep learning, multimodal representation learning frameworks aim to integrate diverse clinical modalities into a cohesive framework, capturing the most significant patterns within each modality. Existing data-driven multimodal representation learning frameworks in AD research have two major limitations. First, AD progresses …

Multimodal Representation Learning Frameworks For Modeling Progression And Heterogeneity In Alzheimer’S Disease, Sayantan Kumar

McKelvey School of Engineering Graduate Student Theses & Dissertations

Alzheimer’s Disease (AD) is the leading cause of dementia, characterised by cognitive and functional impairments that disrupt daily activities. Different clinical modalities such as neuroimaging biomarkers, cognitive assessments, fluid biomarkers and genetic data provide unique and complementary information, contributing to a more comprehensive understanding of disease progression and heterogeneity in disease characteristics. With recent advancements in computational capabilities, particularly in deep learning, multimodal representation learning frameworks aim to integrate diverse clinical modalities into a cohesive framework, capturing the most significant patterns within each modality. Existing data-driven multimodal representation learning frameworks in AD research have two major limitations. First, AD progresses …

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Final Bpsou Insufficiently Reclaimed Sites Belle Of Butte (Bres No. 8 & Ur-39) Remedial Action Work Plan (Rawp) Request For Change Ir-2024-Ra-02 (Dated December 19, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Butte Mine Flooding Operable Unit Berkeley Pit And Discharge Pilot Project – November 2024 Monthly Discharge Monitoring Report, Mark Thompson, Dave Griffis

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Re: Approval Letter For The Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites And Insufficiently Reclaimed Areas – Racetrack Borrow Material Usage (Dated December 19, 2024), Molly Roby

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

November 2024 Berkeley Pit Migratory Waterfowl Protection Monthly Report, Mark Thompson, Loren Burmeister

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Overcoming Obstacles To Interdisciplinary Research: Empirical Insights And Strategies [Peer-Reviewed Journal], Cristo Leon Ph.D., James Lipuma Ph.D.

STEM for Success Resources

Explore how to overcome obstacles to interdisciplinary research with strategies for transdisciplinary communication, breaking silos, and fostering collaboration. Read insights from Cristo Leon and James Lipuma in this impactful study.

Mean From Median Estimation In Longitudinal Meta-Analysis Of Quality Of Life In Radiation Oncology Patients, Harlan R. Sayles

Theses & Dissertations

Meta-analysis of longitudinal data, where some of the studies report results with means and standard errors while others use medians and ranges, is a complex analytical problem with several challenges which must be overcome. Existing methods for estimating means from medians and either ranges, interquartile ranges, or both have not previously been evaluated in a longitudinal setting. In this work, a simulation study was used to estimate mean bias, between studies variance bias, and coverage of confidence intervals in a longitudinal setting. A second simulation study estimated the variance of meta-analysis results from a given set of studies that may …

A Comprehensive Usability And Economic Analysis Of Heat-Related Wearable Technologies: Applications To Occupational Health, Ryan T. Cannady

Theses & Dissertations

The purpose of this research was to analyze the usability and economic considerations of real-time wearable technologies that are implemented in occupational settings to assess risk of heat stress and heat strain. The study population included current agriculture workers and Department of Energy (DOE), Environmental Management (EM) contractors. We employed a mixed-methods approach to comprehensively analyze the usability and economic considerations of heat-related technologies. Specifically, our approach assessed three distinct aspects the applications of these technologies in occupational settings to comprehensively address our research objective: (1) worker perceptions of heat-related wearable technologies, (2) field-based assessment of these heat-related wearable technologies, …

Gpr-185 A Multimodal Approach To Quiz Generation: Leveraging Rag Models For Educational Assessments, Mourya Teja Kunuku

C-Day Computing Showcase

Crafting quiz questions that effectively assess students’ understanding of lectures and course materials, such as textbooks, poses significant challenges. Recent AI-based quiz generation efforts have predominantly concentrated on static resources, like textbooks and slides, often overlooking the dynamic and interactive elements of live lectures—contextual cues, discussions, and interactions—that contribute to the learning experience. In this work, we propose a Retrieval-Augmented Generation (RAG) model that processes multimodal inputs by combining text, audio, and video to produce quizzes that capture a fuller context. Our method incorporates Whisper for audio transcription and utilizes a Large Vision-Language Model (LVLM) to extract essential visual data …

Analysis And Optimization Of The Adsorption Of Lead Ions On A New Material Based On Silica Synthesized From Blast Furnace Slag, Toufik Chouchane, Ouahida Khireddine, Sabiha Chouchane, Mohamed Tayeb Abedghars, Hazem Meradi

Turkish Journal of Chemistry

A novel silica-based material (SBM), synthesized from chemically, thermally, and mechanically treated blast furnace slag (TBFS), was examined for its batch-mode lead adsorption capacity, based on various parameters. Physico-chemical examinations revealed that the formulation of the new material (SBM) consists mainly of silica, which represents 81.79% of its total composition. After modification, the measured specific surface area changed significantly, from 275.8 to 480.13 m2/g, with a point of zero charge (PZC) of approximately 3.4 on the pH scale. The experiment revealed that the driving factors (contact time, stirring speed, solution pH, temperature, and initial concentration) greatly influenced the improvement of …

Contributions Of Glacier Meltwater To Water Resources And Water Quality Below The Ablating Coropuna Ice Cap In The Arid Peruvian Andes, Alexis Rowley

Theses and Dissertations

Rapidly retreating glaciers in the arid tropics are an invaluable resource for communities that depend on meltwater to support drinking water, agriculture, hydropower production, and mining. There is limited understanding of how glacier loss will impact regional water resources, groundwater flow paths, and water quality, especially during the dry season. The Nevado Coropuna volcano in Southern Peru has one of the largest remaining ice caps in the tropics, but has experienced rapid ice loss in the past few decades and is projected to disappear in the next century due to climate change. Located in the northern Atacama Desert, the arid …

Racial And Ethnic Differences In Outcomes Of Neonates Born At Less Than 30 Weeks' Gestation, 2018-2022, Nansi S. Boghossian, Marco Geraci, Erika M. Edwards, Jeffrey D. Horbar

Faculty Publications

Importance: Previous research has examined outcomes among very preterm newborns by the birthing parent's race and ethnicity, but knowledge about these trends during the COVID-19 pandemic is limited. Objective: To examine trends in outcomes among Black, Hispanic, and Asian preterm newborns compared with White preterm newborns. Design, Setting, and Participants: This cohort study (2018-2022) took place at 774 neonatal intensive care units in the Vermont Oxford Network. Participants were newborns born at 22 to 29 weeks' gestation. Exposure: Race and ethnicity. Main Outcomes and Measures: The primary outcomes were mortality and complications, including respiratory distress syndrome, necrotizing enterocolitis (NEC), early-onset …

New Chapters In An Old Book: New Discoveries In Transferrin's Blood Stream Modulators And Analytical Methods, Shelby Thomas Harris

Theses and Dissertations

Human serum transferrin is a 79 kDa glycoprotein responsible for the safe transport of iron throughout the blood stream. Transferrin binds up to two ferric ions in two domains known as the N-lobe and C-lobe respectively. Thus, there are four transferrin metalloforms: apo-Tf (with no iron bound), FeN-Tf (with one iron bound in the N-lobe), FeC-Tf (with one iron bound in the C-lobe) and holo-Tf(with two iron ions bound, one in each of the lobes). The two domains are homologous but feature differences in the kinetics and thermodynamics of iron binding and release. The two lobes are also different in …

Preparation Of Manganese-Doped Carbon Quantum Dots@Halloysite Nanotubes Composites Films For Advanced Uv Shielding Properties, Xiao Zhang, Bin Wang

Turkish Journal of Chemistry

The development of Ultraviolet (UV) shielding materials are of great importance to protect human's health concerns and prevent the degradation of organic matters. However, the synthesis of highly efficient UV shielding polymer nanocomposites is currently limited by the agglomeration of inorganic anti-UV nanoparticles (NPs) within the polymer matrix and limited absorption spectrum of UV shielding agents. In this study, highly effective manganese doped carbon quantum dots@halloysite nanotubes composites (Mn-CDs@HNTs/PAS) were successfully synthesized by loading manganese doped carbon quantum dot (Mn-CDs) into UV shielding effective halloysite nanotubes (HNTs) via solvothermal method, followed by polymerization modification. The results show that inorganic NPs …

Integrating Criminological Theories In Cybersecurity Risk Assessment: A Study Of The Traci Framework's Application To Critical Infrastructure, Connor S. Martin

Doctoral Dissertations and Projects

This dissertation explores the application of the Taxonomy for Risk Assessment of Cyberattacks on Critical Infrastructure (TRACI) framework, a tool designed to systematically evaluate cybersecurity threats against critical infrastructure. TRACI integrates principles from Routine Activity and Rational Choice Theories to provide a detailed and comprehensive understanding of cybersecurity risks. This integration facilitates an in-depth analysis not only of how cyberattacks occur but also of the underlying reasons they are initiated, by categorizing and assessing risks based on factors such as attacker motivations and systemic vulnerabilities. By employing ANOVA to assess variations in risk assessment scores across TRACI's designated categories—Assets, Risk …

Butte Priority Soils Operable Unit (Bpsou) Unreclaimed Sites And Insufficiently Reclaimed Areas – Racetrack Borrow Material Usage, Mike Mcanulty

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Navigating Transdisciplinary Communication: A Graduate Student's Perspective, Sirimuvva Pathikonda, James Lipuma, Cristo Leon

STEM for Success Resources

Discover "Navigating Transdisciplinary Communication: A Graduate Student’s Perspective," a comprehensive exploration of how diverse disciplines converge to tackle complex challenges. This study, presented at WMSCI 2024, employs a Constructivist lens to highlight the co-construction of knowledge, innovative teamwork tools, and practical strategies for research in STEM and beyond. Co-authored by Sirimuvva Pathikonda, MEM, and James Lipuma, Ph.D., the paper underscores the value of Transdisciplinary Communication (TDC) in fostering collaboration, innovation, and holistic problem-solving across fields. Read the full article here: https://doi.org/10.54808/JSCI.22.06.151.

Unquantifiable: The Impacts Of Len Vacher, Victor J. Ricchezza, Nathan D. Grawe

Numeracy

This article celebrates H.L. (Len) Vacher, the founding editor of Numeracy. While many readers of this journal are no doubt familiar with Len’s contributions here and to quantitative literacy as a practice and habit of mind, fewer are intimately familiar with Len’s history and impacts as a professor and colleague. This paper analyzes Len's contributions to the advancement of quantitative literacy through his scholarship in the journal and through the careers of former students and colleagues at the University of South Florida. The former observations originate in interview data originally collected as part of research on Len’s computational geology course …

Time Reversal Delivery Of Long Duration Noise To A Targeted Location: Achieving Higher Amplitude While Maintaining A Desired Spectral Shape And Maximizing The Spatial Extent, Rylee Scott Russell

Theses and Dissertations

Time Reversal (TR) is a signal processing technique that can be used to focus acoustic waves to a specific location in space, with most applications aiming to create an impulsive focus. This study instead aims to focus long-duration noise signals using TR. This thesis seeks to generate higher amplitude noise at a desired location over an existing method of broadcasting equalized noise. Additionally, this thesis explores various characteristics associated with focusing long duration noise using TR. The dependence of the focal amplitude on the duration of the focused signal is explored as well as the implications of using multiple sources …

Using Bivalves As An Indicator For Fecal Bacteria, Kamala Chuss

Honors Scholar Theses

This project focuses on the integration of fecal bacteria from warm-blooded animals into bivalve tissue, and the utilization of bivalves as an indicator for fecal bacteria in waterways. Bivalves may give a more representative long-term average of fecal bacteria in water as compared to direct water testing. The primary objective is to create a standard operating procedure to use bacterial testing of bivalves as a proxy for bacteria concentration in the water. This method can be used in places where bivalves do not already exist by adding them to a body of water, or by collecting bivalves that already exist …

Feasibility Of Large Language Models For Ceus Li-Rads Categorization Of Small Liver Nodules In Patients At Risk For Hepatocellular Carcinoma, Jiayan Huang, Rui Yang, Xiaotong Huang, Keyu Zeng, Yan Liu, Jun Luo, Andrej Lyshchik, Qiang Lu

Department of Radiology Faculty Papers

BACKGROUND: Large language models (LLMs) offer opportunities to enhance radiological applications, but their performance in handling complex tasks remains insufficiently investigated.

PURPOSE: To evaluate the performance of LLMs integrated with Contrast-enhanced Ultrasound Liver Imaging Reporting and Data System (CEUS LI-RADS) in diagnosing small (≤20mm) hepatocellular carcinoma (sHCC) in high-risk patients.

MATERIALS AND METHODS: From November 2014 to December 2023, high-risk HCC patients with untreated small (≤20mm) focal liver lesions (sFLLs), were included in this retrospective study. ChatGPT-4.0, ChatGPT-4o, ChatGPT-4o mini, and Google Gemini were integrated with imaging features from structured CEUS LI-RADS reports to assess their diagnostic performance for sHCC. …