Index Catalog // Scholar@UC

Science Shouldn't Be A Luxury

Type:: Media
Description/Abstract:: What happens when the biggest barrier to scientific discovery isn’t a lack of ideas, but the cost of the tools themselves? In this episode, Jarin Earle, a junior in Mechanical Engineering at North Carolina A & T State University, shares how a summer research project designing a low-cost viscometer changed the way he thinks about engineering; not as a way to build machines, but as a way to expand who gets the opportunity to do science.
Creator/Author:: Earle, Jarin O.; Yavitt, Ben M., and Payton, Eric J.
Submitter:: Eric Payton
Date Uploaded:: 07/24/2026
Date Modified:: 07/24/2026
Date Created:: 2026-07-24
License:: Attribution-NonCommercial 4.0 International

Bubbles and Biases: Demystifying Research and Sustainability

Type:: Media
Description/Abstract:: Through my college journey, the terms “research” and “zero-emissions” have become central to my academic identity. Not just because they reflect both my lab experience and keen interest in sustainable tech, but because they evoke a personal question that many high school seniors and college underclassmen grapple with: what does it mean to be a scientist? I’m Trevon Collins, a mechanical engineering student at Tennessee Technological University. In this podcast episode, I’ll share the answers I’ve found through investigating age-old secrets of phase change and their implications for the green transition.
Creator/Author:: Collins, Trevon L; Yasin, Ayaaz; Bellur, Kishan, and Payton, Eric J
Submitter:: Eric Payton
Date Uploaded:: 07/24/2026
Date Modified:: 07/25/2026
Date Created:: 2026-07-24
License:: Attribution-NonCommercial 4.0 International

Do Not Fear Failure

Type:: Media
Description/Abstract:: Kennedy Whiters lives by "Do not fear failure; rather, fear not trying." She participated in the REALIZE REU when she was a junior at Albany State University. Kennedy performed research on methanogens, a type of anaerobic bacteria that consumes carbon dioxide and turns it into natural gas, which we can use as a source of energy in power plants. In this episode, she describes her experience working in the lab of Prof Annie Rowe, where she found the lab group to be a good source of positive support, like her family.
Creator/Author:: Whiters, Kennedy D.; Rowe, Annette R., and Payton, Eric J.
Submitter:: Eric Payton
Date Uploaded:: 07/19/2026
Date Modified:: 07/24/2026
Date Created:: 2024-07-28
License:: Attribution-NonCommercial 4.0 International

EMS LAW - LEGAL LESSONS LEARNED (3rd Edition)

Type:: Document
Description/Abstract:: Recent court decisions on EMS Law (3rd Edition).
Creator/Author:: Bennett, Lawrence
Submitter:: Lawrence Bennett
Date Uploaded:: 03/31/2026
Date Modified:: 07/06/2026
Date Created:: 2026-03-31
License:: Public Domain Mark 1.0

Advancements in automated nuclei segmentation for histopathology using you only look once-driven approaches

Type:: Article
Description/Abstract:: Histopathology image analysis plays a pivotal role in disease diagnosis and treatment planning, relying heavily on accurate nuclei segmentation for extracting vital cellular information. In recent years, artificial intelligence (AI) and in particular deep learning models have been applied successfully in solving computational pathology image analysis tasks. The You Only Look Once (YOLO) object detection framework, which is based on a convolutional neural network (CNN) architecture has gained traction across various domains for its real-time processing capabilities. This systematic review aims to comprehensively explore and evaluate the advancements, challenges, and applications of YOLO-based methodologies in nuclei segmentation within the domain of histopathological images. The review encompasses a structured analysis of recent literature, focusing on the utilization of YOLO variants for nuclei segmentation. Key methodologies, training strategies, dataset specifics, and performance metrics are evaluated to elucidate the strengths and limitations of YOLO in this context. Additionally, the review highlights the unique characteristics of YOLO that enable efficient object detection and delineation of nuclei structures, offering a comparative analysis against traditional segmentation approaches. This systematic review underscores the promising outcomes achieved through YOLO-based architectures, emphasizing their potential for accurate and rapid nuclei segmentation. Furthermore, it identifies persistent challenges such as handling variances in nuclei appearances, optimizing model architectures for histopathological images, and improving generalization across diverse datasets. Insights derived from this review can provide a foundation for future research directions and enhancements in nuclei segmentation methodologies using YOLO within histopathology, fostering advancements in disease diagnosis and biomedical research.
Creator/Author:: Debsarkar, Shyam
Submitter:: Shyam Debsarkar
Date Uploaded:: 12/28/2025
Date Modified:: 12/28/2025
Date Created:: March 25, 2025
License:: All rights reserved

BUILD TO ADAPT: HOW E.D.E.N. REIMAGINES CONTINUOUS IMPROVEMENT FOR NONSTOP OPERATIONS

Type:: Student Work
Description/Abstract:: This capstone report presents E.D.E.N. (Every Day, Every Night) — an original continuous improvement framework designed for nonstop, high-dependency operations in industries such as logistics, aviation, digital infrastructure, and healthcare. Drawing on principles from Lean, Six Sigma, high-reliability organizations (HROs), and data-driven decision science, the paper introduces four interlocking pillars: Engaged & Empowered Teams, Data-Driven Continuous Feedback, End-to-End Alignment, and Nonstop Adaptive Resilience. Through detailed analysis of recent global disruptions — including the 2025 CrowdStrike outage, Boeing’s manufacturing failures, the Red Sea shipping crisis, and Taiwan’s semiconductor challenges — the work demonstrates how organizations can embed real-time adaptability, resilience, and continuous improvement directly into their operations. The E.D.E.N. framework is proposed as a new model for achieving operational excellence and resilience in an era where downtime is no longer an option.
Creator/Author:: Agoba, EJ
Submitter:: EJ Agoba
Date Uploaded:: 07/16/2025
Date Modified:: 07/16/2025
Date Created:: 2025-04-10
License:: Attribution-NonCommercial-ShareAlike 4.0 International