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Fy2025 Salary Report - All Tabs, Clemson University

Salary Reports

No abstract provided.

Fy2025 Faculty Salaries Over $50,000, Clemson University

Salary Reports

No abstract provided.

Fy2025 All Salaries $30-$50,000, Clemson University

Salary Reports

No abstract provided.

Fy2025 All Salaries Over $50,000, Clemson University

Salary Reports

No abstract provided.

2024 Annual Accountability Report, Clemson University

Accountability Reports

Clemson University's 2023-2024 Annual Accountability Report submitted to the South Carolina Budget and Control Board.

Growing Identity Over A Decade: Asl-English Interpreter Education, Kimberly Hale

International Journal of Interpreter Education

The employment context of ASL-English Interpretation programs (ASLIPs) has not been analyzed in a decade. In this study, I compared the institutional type and disciplinary category of 38 ASLIPs operating in 2011 and 57 programs operating in 2021 to determine whether there had been a standardization of academic profile. Over half of the programs in 2021 are in doctoral/research granting institutions (52.6%) compared to only 31.6% in 2011. While the number of programs classified under Schools/Colleges of Education has nearly doubled (11 and 20, respectively), the proportion has remained steady (45.8% and 45.5%, respectively). The proportion of language and/or culturally-related …

“Can You Hear Me Now?” Evaluating Virtual Interpreted Healthcare Simulations, Mark A. Halley, Linda Connelly

International Journal of Interpreter Education

In this paper, we evaluate virtual healthcare simulations with undergraduate American Sign Language/ English interpreting students and undergraduate nursing students. To evaluate this educational innovation, we conducted a focus group interview with key stakeholders – undergraduate nursing and interpreting students, graduate interpreting student mentors, and deaf standardized patients – who participated in the simulations. The focus group data were thematically analyzed, which allowed for an evaluation of instructional effectiveness and identification of areas for quality improvement in future iterations. Taken together, the findings suggest that virtual simulations offer students a powerful experiential learning experience and the opportunity to apply theoretical …

Integrating Computer Science Education And Ethnic-Racial Identity Exploration Within A Social Justice Youth Development Framework, Steven Worker, Fe Moncloa, Vernelle Mitchell-Hawkins

Journal of Youth Development

No abstract provided.

Newfound Belonging: Reimagining Youth Development Through Culturally Relevant Physical Activity And Literacies, Brittany Pinkerton, Christine L. Craddock

Journal of Youth Development

No abstract provided.

Understanding Why Youth Depart Early From Summer Camp, Victoria Povilaitis, Robert P. Lubeznik-Warner, Katie Mcgregor-Wheatley

Journal of Youth Development

No abstract provided.

How To Read A Patent: A Survey Of The Textual Characteristics Of Patent Documents And Strategies For Comprehension, Graham Sherriff

Journal of the Patent and Trademark Resource Center Association

Reading patents is an important activity for inventors and anyone seeking to file or defend a patent, as well as for “exploratory” researchers such as students in a range of disciplines. However, they are notoriously difficult to read. This paper examines the characteristics of patent documents that impair their readability and seeks to identify comprehension strategies and techniques that may alleviate this difficulty. Insights were gathered from a review of the scholarly literature on reading and patent literacy, a survey of patent educators affiliated with the US Patent and Trademark Office (USPTO)’s Patent and Trademark Research Center (PTRC) Program, and …

Clemson Commencement Program, August 2024, Clemson University

Clemson Commencement Programs

No abstract provided.

Changes In Near-Field Perception And Reaching Behavior In Virtual Environments Over Time, Kristopher C. Kohm

All Dissertations

Near-field perception and reaching capabilities are fundamental for most interactions in immersive virtual environments (IVEs). To perform actions in IVEs accurately and efficiently, virtual reality (VR) users need to be able to adapt to changes in their perception. Some of these perceptual differences may be inherent to virtual environments, such as the difference in depth perception between the virtual and non-virtual worlds. Others may be deliberate alterations to the user's action capabilities or to their surroundings to make interactions easier. Both the alterations and the user's ability to adjust to them may change over time as they gain experience in …

Measuring Cannulation Behavior On A Sensorized Simulator: Development, Verification, And Testing Of System Components, Lydia Petersen

All Dissertations

End Stage Kidney Disease (ESKD) is a significant public health burden in the United States. Life-sustaining hemodialysis, required up to three times a week for ESKD patients, necessitates a functioning vascular access. For proper cannulation, cannulators have many factors to consider, including an AVF’s geometry, depth, diameter, and other details. Poor cannulation can lead to infiltration, where the needle punctures the vessel wall. Infiltration occurs in as many as 50% of cannulations, causing complications ranging from hematoma and swelling to delayed treatment or loss of vascular access. This highlights the need for objective, standardized training methods to improve cannulation skills …

Exploiting Physical Side-Channel Information For Offensive And Defensive Ends, Sisheng Liang

All Dissertations

Side-channel information consists of side effects of computation that range from microarchitectural to physical phenomena. Empirical studies have demonstrated the practical exploitability of these side effects in real-world systems for malicious attacks and effective defenses. In this dissertation, we discover, analyze, and exploit certain physical side-channel information for end-to-end attacks and defense across three studies.

In the first study, we demonstrate a new DNN model extraction attack named Clairvoyance that exploits certain far-field electromagnetic signals emitted from a GPU to steal DNN models several meters away from the victim machine, even with some physical obstacles in between. Using Clairvoyance, an …

Frameworks For The Techno-Economic Assessment Of Membrane-Based Bioprocessing Platforms, Juan Jose Romero Conde

All Dissertations

This dissertation describes developing and implementing computational frameworks for simulating and optimizing purification processes in the biopharmaceutical industry. The framework performs techno-economic analyses to establish value propositions for new process alternatives, especially membrane technologies. Initially, the focus is developing a framework capable of simulating monoclonal antibody (mAb) capture using membrane and resin media in multi-column chromatography (MCC) platforms for continuous manufacturing. Subsequently, the impact of capture MCC is compared against other intensification strategies in established mAb manufacturing facilities. Finally, the framework application expands to simulate the purification of adeno-associated virus (AAV) vectors for gene therapy.

Chapter 2 details the framework …

Offensive Content Detection In Online Social Platforms, Ebuka Okpala

All Dissertations

Online social platforms enable users to connect with large, diverse audiences and the ability for a message or content to flow from one user to another user, user to followers, followers to user, and followers to followers. Of course, the advantages of this are apparent, and the dangers are also clearly obvious. The user-generated content could be abusive, offensive, or hateful to other users, possibly leading to adverse health effects or offline harm. As more of society's public discourse and interaction move online and these platforms grow and increase their reach, it is inherently important to protect the safety of …

Fault Detection And Location In Renewable-Fed Distribution Systems Using Low Voltage Sensors, Bushra Farhat

All Theses

The penetration of Distributed Energy Resources (DERs) into the Electric Power System (EPS) is increasing. These (DERs) are mostly inverter-based resources (IBRs) that are integrated into (EPS) at the distribution level. Therefore, it has become necessary to leverage the integration of (IBRs) for both commercial and residential distribution systems through the deployment of Microgrid (MG). However, existing distribution systems that use fuses for sensing and isolating faults are not equipped to handle protection of microgrids where fault currents are fed from multiple sources and can flow downstream or upstream. Bulk of the protection schemes proposed in literature are heavily dependent …

Understanding The Challenges To Robotic-Assisted Surgery Adoption From The Perspectives Of The Human-Robot Interaction, Built Environment, And Training, Patrick A. Fuller

All Theses

Introduction: Robotic-assisted surgery (RAS) is a form of minimally invasive surgery that is increasing in both its adoption and development due to many perceived advantages such as tremor reduction and motion scaling. However, RAS is still relatively new and there are a variety of novel barriers and challenges to the adoption of these platforms. Objectives: This study aims to understand how the integration of RAS platforms impacts the interactions and outcomes of interactions between surgical team members to explore the barriers from three aspects critical to facilitating Robotic-assisted-surgery (RAS) adoption: the human-robotic interaction, built environment, and RAS training. Future …

Exploring Healthcare Chatbot Information Presentation: Applying Hierarchical Bayesian Regression And Inductive Thematic Analysis In A Mixed Methods Study, Samuel Nelson Koscelny

All Theses

High blood pressure, also known as hypertension, significantly increases the risk of heart disease and stroke, which are leading causes of death in the United States. While contributing to over 691,000 deaths in 2021 alone in the United States (U.S.), it also imposes immense economic burden on the healthcare system, costing approximately $131 billion annually. One way to address this issue is for increased self-care behaviors and medication adherence, both of which require sufficient health literacy. Despite the importance of health literacy, 90% of U.S. adults struggle with health-related subjects. Overcoming the issues associated with health literacy requires addressing the …

Understanding The Microstructure And Tribological Performance Of Cocrfeni-Based High Entropy Alloys, Ali Azarmi

All Theses

Due to their higher wear resistance compared to conventional alloys, high entropy alloys (HEAs) are now being considered as candidates for parts undergoing sliding contact during their lifetimes. While the engineering field has built some knowledge related to the performance of selected high entropy alloys, such as the CoCrFeNi alloy, more research is needed to determine if (how) expansions from four to five principal alloying elements alter the performance compared to the initial alloy. In this study, we started this research effort by investigating the relative performance of CoCrFeNiMn and CoCrFeNiTi with respect to CoCrFeNi. The two primary alloying elements …

Local Charge Distortion Due To Cr In Ni-Based Concentrated Alloys, Jacob Fischer

All Theses

Due to the presence of multiple elements consisting of a range of atomic radii, local lattice distortion (LLD) is commonly observed in concentrated (and high entropy) alloys. However, since these elements also have diverse electronegativities, recent works show that atoms can have a range of atomic charges. In this work, using density functional theory (DFT), we investigate electronic charge distribution in face centered cubic (FCC) Ni-based alloys and find significant charge-density distortion in HEAs. Specifically, Cr atoms have large charge density distortion that results in a wide range of bond lengths, atomic charges, and electronic density of states in Cr-containing …

Improving Pedestrian Conspicuity At Night: Testing The Efficacy Of A Video-Based Educational Intervention, Morgan Mccree

All Theses

The majority of fatal crashes involving pedestrians occur at night. Insufficient conspicuity has been implicated as a causal factor in these crashes, and there is a critical need for innovative strategies to increase the nighttime conspicuity of pedestrians. This experiment investigated the efficacy of an 11-minute educational video aimed to teach road users about critical and relevant visual perception concepts (e.g., contrast, retroreflectivity, biological motion) that impact nighttime conspicuity. Fifty-four college students were randomly assigned to either watch the video (intervention; n=27) or not (control; n=27). Each participant provided quantitative judgments regarding the nighttime visibility of a pedestrian on an …

Trust: The Inertia Taxonomy Of Trust And Learning Outcomes Of Trust Building Exercises, Ann B. Lyons

All Theses

This study investigates United States construction professionals’ view of trust in the workplace. In particular the focus is on building trust through trust building exercises. In order to accomplish this, a literature review was conducted focusing on trust in the worldwide construction industry. This was followed by interviews with US construction professionals who focus on team building. These interviews informed a survey sent to a wide variety of US construction professionals. The survey had two sections of content questions, 1. view of trust indicators and 2. perception of trust building exercises. Finally, experts in the field of construction team building …

Hyperspectral Image Classification Of Bacteria Using A Deep Convolutional Neural Network, Bruce S. Vogelsberg Jr

All Theses

Hyperspectral imaging is a non-invasive imaging method capable of collecting both spatial and spectral information. However, because of the large volume of data collected, much of it is redundant or not useful for classification. Deep learning is a subset of machine learning that uses artificial neurons in a multilayered structure to learn representations from data. One of the main advantages of deep learning is the powerful feature extraction capabilities, which allow the model to learn both high- and low-level features. Convolutional neural networks are a type of deep learning model that have alternating convolutional and pooling layers capable of extracting …

A Study Of The Impact And Mitigation Strategies For Community-Defined Historic Places At Immediate (Within Three Decades) Risk Of Sea Level Rise, Isaac Quaye

All Theses

The rising sea level casts formidable threats on community-based historic places within coastal communities. These community-defined historic places derive their meaning from local values and are more recognized within the local community. Unlike recognized iconic historic places, these resources are confronted with inadequate resources to address the impacts of punctuated climate events. This study investigates the imminent threats posed by sea level rise (SLR) to community-defined historic places within the next three decades (2025) and explores mitigation strategies proposed by stakeholders. The study used a GIS-based (enhanced bathtub model) to model the impact of coastal inundation on three historic places …

Predicting The Ductility Of Tungsten Based Bcc Refractory High Entropy Alloys: A Computational Science Driven Study, Akshay Korpe

All Theses

Bcc refractory high entropy alloys (HEAs) are a relatively new category of metallic alloys that promise excellent irradiation resistance and strength retention at high temperatures but exhibit brittle behavior at room temperatures limiting their formability. Understanding the deformation mechanisms and predicting their ductility at room temperature is a topic of interest in contemporary research.

In this work, multiple independent ductility criteria for quantifying the ductility of these HEAs were studied, calculated and compared using Density Functional Theory (DFT) calculations and continuum mechanics frameworks. These ductility parameters were calculated for various W-Ta-Cr-V alloys and the trends were analyzed for each criteria …

Assessing The Efficacy: Statistical Models Vs. Machine Learning (Ml) Approaches For Prediction Modeling In The Construction Industry, Stuti Garg

All Theses

The construction industry has witnessed a significant surge in the daily volume of objective data (i.e., precise data sources representing actual project progress) accumulated across a project's lifecycle. This abundance of data presents an opportunity to extract valuable organizational insights and potential remedies for project management issues. The construction technology landscape is gradually evolving towards integrated software platforms to meet customer needs more effectively. However, the construction sector lacks comprehensive predictive analytics solutions for projects or industry-wide applications - a significant portion of descriptive analytics tools rely on trade association surveys or dashboards constructed from collected company data, suffering from …

Developing An Assessment Tool For Ideation Effectiveness: A Survey-Based Approach For The Shah’S Method Of Design Space Exploration, Venkat Jaya Deep Jakka

All Theses

The research is focused on creativity in engineering design. The goal is to understand if creativity in engineering design can be assessed using a less resource-intensive approach, specifically a survey, compared to design exercises. The survey builds on the metrics established by Shah and colleagues. The four metrics are Novelty, Quality, Variety and Quantity. The metrics are measured with the help of a design activity that is deployed to the participants. These metrics have been used in comparative analysis to assess treatments such as new design methods and personality types. However, the downside of the metrics is that they require …

Interactions Between High-Pressure Processing And Natural Antimicrobials In Ground White-Meat Chicken: An Analysis Of Microbial, Textural Charactheristics And Physicochemical Changes, Amalia M. Diaz Alejandro

All Theses

High Pressure processing is an innovative technique for preserving a wide variety of foods, including meat, and this method is increasingly used to satisfy consumer demand for quality food products. High-pressure treatment can impact, negatively or positively, various aspects of meat quality, including color, texture, protein denaturation, and microbial stability, particularly when food products are processed at ambient or low temperatures. By minimizing thermal exposure, appropriate high-pressure ranges help to prevent quality and nutrition degradation, reduce microbial contamination, and enhance tenderness.

The first objective of this research was to examine the influence of high-pressure processing and addition of natural antimicrobials …