Digital Commons Network^™

Learning, Optimizing, And Simulating Fermions With Quantum Computers, Andrew Zhao

Physics & Astronomy ETDs

Fermions are fundamental particles which obey seemingly bizarre quantum-mechanical principles, yet constitute all the ordinary matter that we inhabit. As such, their study is heavily motivated from both fundamental and practical incentives. In this dissertation, we will explore how the tools of quantum information and computation can assist us on both of these fronts. We primarily do so through the task of partial state learning: tomographic protocols for acquiring a reduced, but sufficient, classical description of a quantum system. Developing fast methods for partial tomography addresses a critical bottleneck in quantum simulation algorithms, which is a particularly pressing issue for …

New Mexico Coalition Of Sexual Assault Programs: Sexual Assault Needs Assessment May 2024, Theresa H. Cruz, Leona Woelk, Yvonnie Vitanzos, Mahtab Soleimani, Elena Spafford

Reports & Documents

No abstract provided.

Physical And Stochiometric Controls On Nutrient Uptake And Ecosystem Respiration In Contrasting Sites, Jancoba K. Dorley

Civil Engineering ETDs

Meteorological, hydrological, and biogeochemical processes naturally control stream ecosystems. These processes define the frequency and distribution of precipitation and the supply and demand of solutes and particles to support aquatic food chains through space and time. Studies have also found that stream ecosystems are also controlled by anthropogenic activities, which occur on a much shorter timescale. These anthropogenic activities affect stream ecosystems' structure and function from local to planetary changes to the environment. It is essential for scientists and engineers to understand the relationships between naturally occurring processes and those created by human activities for a better interpretation of stream …

Extrayendo El Pulque: Tlachiquero’S Spectral Subjectivity And The Visuality Of Pulque’S Extractive Zone, Joshua L. Gómez

Hemisphere: Visual Cultures of the Americas

No abstract provided.

‘Focus On’ South America: Mary Upjohn Meader’S 1937 Aerial Photography Of Peru, Chile, Argentina, And Uruguay, Kiki M. Barnes

Hemisphere: Visual Cultures of the Americas

No abstract provided.

Healthcare Social Network Research And The Echo Model™: Exploring A Community Of Practice To Support Cultural Brokers And Transfer Cultural Knowledge, Phil Nixon, Chiara Broccatelli, Perrin Moss, Sarah Baggio, Angela Young, Dana Newcomb

Project ECHO Bibliography

BACKGROUND: Project ECHO

METHODS: Social network theories and methods informed the collection of network data and analysis of advice-seeking relationships among ECHO network members and their nominees. Registered members from two ECHO networks were invited to complete the Qualtrics survey. Networks analysed comprised 398 professionals from mainstream health, Aboriginal and Torres Strait Islander Community Controlled Health Organisation, education, disability and child safety service settings.

RESULTS: Brokers were well represented, both those who hold knowledge brokerage positions as well as cultural brokers who incorporate clinical and cultural knowledge enabling holistic care for Aboriginal and Torres Strait Islander patients (38 individuals, 17% …

Flipped Classroom For Linear Algebra At Undergraduate Level, M. Thulasidas

Research Collection School Of Computing and Information Systems

In this article, we describe our experience in developing an undergraduate Linear Algebra course tailored to highlight its relevance and applicability in Computer Science. Over the course of three years, the course transitioned from a traditional direct-instruction format to a flipped-classroom design, resulting in positive student learning outcomes. This article covers the course design philosophy, its syllabus, learning objectives, and the incorporation of both quantitative and qualitative student feedback in shaping the course. Furthermore, the article shares the insights gleaned from our experience, which can serve as best practices for instructors aiming to deliver a successful Linear Algebra course for …

Regret-Based Defense In Adversarial Reinforcement Learning, Roman Belaire, Pradeep Varakantham, Thanh Hong Nguyen, David Lo

Research Collection School Of Computing and Information Systems

Deep Reinforcement Learning (DRL) policies are vulnerable to adversarial noise in observations, which can have disastrous consequences in safety-critical environments. For instance, a self-driving car receiving adversarially perturbed sensory observations about traffic signs (e.g., a stop sign physically altered to be perceived as a speed limit sign) can be fatal. Leading existing approaches for making RL algorithms robust to an observation-perturbing adversary have focused on (a) regularization approaches that make expected value objectives robust by adding adversarial loss terms; or (b) employing "maximin'' (i.e., maximizing the minimum value) notions of robustness. While regularization approaches are adept at reducing the probability …

Robust Auto-Scaling With Probabilistic Workload Forecasting For Cloud Databases, Haitian Hang, Xiu Tang, Jianling Sun, Lingfeng Bao, David Lo, Haoye Wang

Research Collection School Of Computing and Information Systems

Auto-scaling is crucial for achieving elasticity in cloud databases as well as other cloud systems. Predictive auto-scaling, which leverages forecasting techniques to adjust resources based on predicted workload, has been widely adopted. However, the inherent inaccuracy of forecasting presents a significant challenge, potentially causing resource under-provisioning. To address this challenge, we propose robust predictive auto-scaling that considers the uncertainty in forecasts. Unlike previous predictive approaches that rely on single-valued forecasts, we leverage probabilistic forecasting techniques to generate quan-tile forecasts, providing a more comprehensive understanding of the potential future workloads. By formulating the auto-scaling problem as a robust optimization problem, we …

Automatic Grading Of Short Answers Using Large Language Models In Software Engineering Courses, Nguyen Binh Duong Ta, Yi Meng Chai

Research Collection School Of Computing and Information Systems

Short-answer based questions have been used widely due to their effectiveness in assessing whether the desired learning outcomes have been attained by students. However, due to their open-ended nature, many different answers could be considered entirely or partially correct for the same question. In the context of computer science and software engineering courses where the enrolment has been increasing recently, manual grading of short-answer questions is a time-consuming and tedious process for instructors. In software engineering courses, assessments concern not just coding but many other aspects of software development such as system analysis, architecture design, software processes and operation methodologies …

Lecture-Style Tutorial: Towards Graph Foundation Models, Chuan Shi, Cheng Yang, Yuan Fang, Lichao Sun, Philip Yu

Research Collection School Of Computing and Information Systems

Emerging as fundamental building blocks for diverse artificial intelligence applications, foundation models have achieved notable success across natural language processing and many other domains. Concurrently, graph machine learning has gradually evolved from shallow methods to deep models to leverage the abundant graph-structured data that constitute an important pillar in the data ecosystem for artificial intelligence. Naturally, the emergence and homogenization capabilities of foundation models have piqued the interest of graph machine learning researchers. This has sparked discussions about developing a next-generation graph learning paradigm, one that is pre-trained on broad graph data and can be adapted to a wide range …

Associations Between Polycystic Ovary Syndrome (Pcos) And Antibiotic Use: Results From The Uaehfs, Nirmin F. Juber, Abdishakur Abdulle, Amar Ahmad, Fatme Alanouti, Tom Loney, Youssef Idaghdour, Yvonne Valles, Raghib Ali

All Works

Women with polycystic ovary syndrome (PCOS) have a higher susceptibility to infections compared to those without PCOS. Studies evaluating antibiotic use based on PCOS status are scarce. Therefore, we aimed to (i) assess the associations between self-reported PCOS and antibiotic use, and (ii) whether PCOS treatment and the age at PCOS diagnosis modified the associations above. This cross-sectional analysis used the United Arab Emirates Healthy Future Study (UAEHFS) conducted from February 2016 to March 2023 involving 2063 Emirati women aged 18–62 years. We performed ordinal logistic regressions under unadjusted and demographic-health-characteristic-adjusted models to obtain the odds ratios (ORs) and 95% …

The Role Of Student Motivation In Integrating Ai Into Web Design Education: A Longitudinal Study, Jason Lively, James Hutson

Faculty Scholarship

Amidst the current wave studies of artificial intelligence (AI) in education, this longitudinal case study, spanning Spring 2023 to Spring 2024, delves into the integration of AI in the UI/UX web design classroom. By introducing both text-based and image-based AI tools to students with varying levels of skill in introductory web design and user experience (UX) courses, the study observed a significant enhancement in student creative capabilities and project outcomes. The utilization of text-based generators markedly improved writing efficiency and coding, while image-based tools facilitated better ideation and color selection. These findings underscore the potential to augment traditional educational methods, …

Post-Covid Small Fiber Neuropathy, Implications Of Innate Immunity, And Challenges On Ivig Therapy, Marinos Dalakas

Department of Neurology Faculty Papers

No abstract provided.

Advances In High-Speed Store Separation For Upward-Ejected Stores And Dynamic Cavity Doors, Timothy Wolfe

Masters Theses and Doctoral Dissertations

As technology continues to evolve for aircraft-deployed weapons, computational approaches to store separation analysis face new challenges. Anticipating vehicle designs that require upward store ejection, this study uses computational fluid dynamics and 6DoF motion analysis to predict such store trajectories in high-speed flow. Several store designs are analyzed at various ejection velocities in Mach 4 and Mach 6 conditions. The trajectory results show that streamlined store geometries may not induce sufficient drag to clear the aircraft after ejection. However, store designs with drag-enhancing features show potential for safe separation trajectories. To account for the unsteady effects of a cavity door …

Analyzing Information Diffusion In Social Media Networks, Amin Riazi

Masters Theses and Doctoral Dissertations

Social media is a dynamic platform where a wide range of information is shared, including both true and false content, and it involves interactions between human users and social bots. This study investigates information diffusion patterns on X (formerly Twitter) by analyzing retweet (repost) network topologies. The results reveal distinct behavioral patterns for humans and bots when spreading true and false information, highlighting the need for further examination of their roles in information dissemination. Moreover, this study tackles the challenge of differentiating between broadcast and viral information diffusion on X, acknowledging the possibility of genuine information also being potentially misleading. …

The Impact Of The Graphic Communications Outreach And Recruitment Program On The Gc Identity, Riley Dekrafft

All Theses

The present study evaluates the impact of Clemson Graphic Communication's Outreach and Recruitment program on high school students' perceptions of the major and their college and post-college opportunities. Through surveys and events sponsored by Outreach, the research aims to determine the overall influence of the GC program. Participating students, accompanied by their instructor and guardians, will visit Godfrey Hall, Clemson University's Graphic Communications building. Before the trip, students must complete a comprehensive survey gauging their understanding of the Graphic Communications program and its industry. During the visit, students will engage in rotational activities to experience the daily practices of Graphic …

Additive Manufacturing Of Porous Tungsten Carbide Structural Electrode Components Using Robocasting, James Bevis

All Theses

Thanks to ideal mechanical and electrochemical properties, Tungsten Carbide (WC) shows excellent potential as a structural electrode material for multifunctional devices. These devices have applications in electric vehicles, for example, structural fuel cells and massless batteries. In such a context, structural WC electrodes will also benefit from porosity to decrease their weight and increase their surface area and chemical reactivity. Porous WC is a useful material for this field because of its high strength-to-weight ratio and electrical properties. However, current manufacturing methods can be expensive, complex, and limited, so the intent is to provide a more simplistic and sustainable method …

Detection And Assessment Of Targets In Mock Digital Breast Tomosynthesis Images Using Computer-Aided Detection Systems, Katharine Sabo

All Theses

Radiologists use computer-aided detection (CAD) systems to assist with detecting and assessing breast cancers in mammograms, digital breast tomosynthesis (DBT), and other types of breast imaging; however, the usefulness of such automation aids has been debated since their implementation. Initial studies on CAD systems had mixed results, while more recent studies have shown that they can improve diagnostic outcomes (i.e., greater sensitivity and fewer false alarms) and decrease the reading time required for images. Three CAD types are currently in use: binary, analog, and interactive CAD. However, studies rarely explore the differences between the CAD methods. Additionally, recent work has …

Dynamics Of Link Importance Across Flood Disaster Phases And Flood Impacts On Operation Of An Industry, Navin Bhatta

All Theses

Transportation damage and disruptions will become increasingly common as the frequency of floods increases due to climate change. Given the size and cost of the transportation network construction, communities' mitigation measures should be supported by evaluations that cover both normal and disaster management phases. This thesis examines the criticality of road segments in the normal, flood response, and recovery phases, considering the effects on emergency services, healthcare, industry, education, recreation, and transit and analyses that whether a flood disrupts the operational trips of a company in Anderson County, South Carolina. A 100-year event and a 500-year flood event provides context …

Quantifying Hurricane Effects On Housing: Evaluating Damage, Loss, And Shelter Demands Using Historical And Simulated Storm Tracks, Adish Deep Shakya

All Theses

This research introduces an advanced framework which employs parametric wind field models for peak wind speeds, and building fragility curves, loss functions, and demographic data to estimate for estimating housing damage and loss. The uninhabitable units immediate displaced households, short-term and long-term shelter need households are determined. with a particular focus on those eligible for FEMA assistance. The framework's validity is reinforced by a high correlation in the analysis of recent hurricane events between estimated numbers of displaced households and actual FEMA aid recipients, where FEMA aids about 20-60% of the predicted long-term displaced households. A novel application of the …

Changes In Soil Chemical Attributes, Horticultural Performance And Fruit Yield Of Peach Cultivars Following Preplant And Annual Applications Of Composted Mulch Amendments, Jeffrey Hopkins

All Theses

Southeastern peach orchards often have poor soil quality due to native soil composition, intensive farming practices and generational replanting of trees in the same locations. This study investigated using mulch amendments to improve the chemical and physical quality of soil prior to planting a new peach orchard. At the beginning of the four-year study, a single-ground municipal composted mulch was incorporated into the soil at two different rates and three cultivars of peaches, ‘Rubyprince’, ‘Julyprince’, and ‘BigRed’ were planted on berms. Thereafter, the same mulch product was annually applied to the top of the berms at two different rates to …

The Post Pandemic Learner: How Spatial Dynamics & Accessibility Impact The Learning Experience, Erikka Misrahi

All Theses

The COVID-19 pandemic had unprecedented impacts on Generation Z (Gen Z) in regard to mental wellbeing and learning impacts. While the world shut down in March 2020, the majority of students who have since entered college were forced to attend some portion of high school using remote learning platforms. This transition, while necessary at the time, has had repercussions that are still being felt in higher education. These impacts, combined with the challenges that Gen Z were already experiencing due to the pressures of social media, and the impacts that technology has had on attention spans, have changed their learning …

Biotinylated Protein Capture And Tween-20 Assisted Exosome Isolations Via Capillary Chanelled Polymer Fiber, Md Khalid Bin Islam

All Theses

In the past two decades, Marcus and colleagues have led the advancement of capillary-channeled polymer (C-CP) fiber stationary phases for biomacromolecule separations, including proteins and nanovesicles. These stationary phases offer notable advantages, including low cost ($5/column), straightforward column fabrication, and the capacity for on-column surface modification, enabling high chemical selectivity. This study examines a C-CP fiber modification strategy for capturing target proteins and develops a Tween-20-assisted C-CP-based hydrophobic interaction chromatography (HIC) method for the isolation and quantification of exosomes from human urine.

The quest for higher-throughput and cost-effective protein isolation techniques remains a key focus in a variety of end …

The Calling Of Governess, Karissa Maust

All Theses

The governess is a widely discussed figure in literary criticism. However, the motivations that cause literary characters to engage in the profession of governess are not often talked about. This thesis discusses the three primary motivations that inspired women to become governesses—survival, duty, and calling. It begins with a historical discussion of the governess, then illustrates women’s reasons for engaging in this occupation, using literary figures from Emma, Villette, and Jane Eyre to do so. The thesis then ends with a discussion of the modern American teacher—how she differs from the governess but also shares the lack of …

Choices Behind The Color: An Analysis Of Paint Finish Variations In South Carolina Slave Dwellings, Lyrik Castro-Bailey

All Theses

This research sought to discover what analytical methods would allow a preservationist to access, analyze, and interpret the agency enslaved people had in selecting the interior finishes of their living quarters. Ten sites ranging in construction from 1712 to 1847 were analyzed including: Lavington Plantation Slave-Quarters, Drayton Hall Cellar, Nathaniel Russell House Kitchen-Quarters, Aiken-Rhett Slave-Quarters, John Fullerton House Kitchen-Quarters, 38 Church Street Kitchen-Quarters, 72 Anson Street Kitchen-Quarters, 54 Hasell Street Kitchen-Quarters, Capers-Motte House Kitchen-Quarters, and the Heyward House Kitchen-Quarters. Photomicrographs collected by the author and conservationist Dr. Susan Buck were organized to examine the layers of pigments. Munsell Colors were …

Deep Reinforcement Learning Of Variable Impedance Control For Object-Picking Tasks, Akshit Lunia

All Theses

The increasing deployment of robots in industries with varying tasks has accelerated the development of various control frameworks, enabling robots to replace humans in repetitive, exhaustive, and hazardous jobs. One critical aspect is the robots' interaction with their environment, particularly in unknown object-picking tasks, which involve intricate object weight estimations and calculations when lifting objects. In this study, a unique control framework is proposed to modulate the force exerted by a manipulator for lifting an unknown object, eliminating the need for feedback from a force/torque sensor. The framework utilizes a variable impedance controller to generate the required force, and an …

Service Use Among Maltreated Children With Behavior Problems And Emotional Disturbance Before And During Covid-19, Darja Beinenson

All Theses

This study utilizes two datasets obtained from the National Child Abuse and Neglect

Data System, a federally-sponsored initiative to monitor annual rates and characteristics of child maltreatment in the United States. Using a set of multinomial and negative binomial regressions, the paper seeks to examine service use among maltreated children with and without behavioral problems and emotional disturbance. The study also explores whether the service utilization gap widened among children with those conditions in 2021, during the pandemic, compared to 2018, pre-pandemic. Results demonstrated significant differences in the utilization of services among children with behavioral problems and emotional disturbance compared …

Analytical And Experimental Studies To Support Codification Of Lightweight Grout For Masonry Design, Cooper Banks

All Theses

Lightweight (LW) aggregates have many potential benefits in masonry construction including minimizing mass, improving thermal performance, and reducing the potential for shrinkage cracking via internal curing. The current masonry design standard, TMS 402/602-22, permits lightweight aggregate in the production of concrete masonry units (CMU), but there has been insufficient testing of masonry assemblies to permit designing with LW grout. Shrestha et al. characterized LW grouts bond to reinforcement, shear strength, tension and shear pullout behavior of anchors and proposed possible reduction factors for design. Hiner characterized the flexural bond strength LW grouted masonry assemblies and proposed possible reduction factors for …

Playing Myself: The Gothic's Challenge To Audience Identity, Elena Durant

All Theses

This thesis presents close readings of the 2015 video game Bloodborne and Jane Austen’s Northanger Abbey in order to illuminate how the Gothic genre challenges identity. Both Bloodborne and Northanger Abbey respond to their genres and are preoccupied with the ways that their audiences might interact with them. Bloodborne’s gameplay directly incentivizes players to reflect on the way that they play the game. Northanger Abbey is a parody of the Gothic novel that reflects just as much on the idea of the reader as it does on the conventions of the genre it parodies. Both of these works are …