Digital Commons Network^™

Quantification Of Bioactive Compounds In Coffea Arabica And Their Impact With Omega-3 Supplementation On Non-High-Density Lipoprotein Levels In Hyperlipidemia-Induced Rats, Sojoud M. Al-Zoubi, Shady H. Awwad, Reem A. Issa, Ahmad Q. Daraosheh, Talal Al-Qaisi, Husni Farah, Khaled W. Omari, Beisan A. Mohammad, Mumen Amer, Rula F. Khuzaie, Mahmoud S. Abu-Samak

Baghdad Science Journal

This study aims to evaluate the levels of coffee lipids, diterpenes, chlorogenic acid (CGA), and caffeine in coffee samples with different roasting levels. Additionally, it aims to assess the impact of coffee extracts with/without omega-3 supplementation on lipid profile parameters. Liquid-liquid and soxhlet extraction, and quantitation were performed using HPLC-DAD. Two groups of Wistar rats were used: non-hyperlipidemic and hyperlipidemic. Blood samples were collected before and after hyperlipidemia induction after six weeks. The lipid profile: total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein (HDL), triglyceride (TG), non-high-density lipoprotein (non-HDL), and total cholesterol-to-high-density lipoprotein ratio (TC/HDL) were determined. A positive correlation …

The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam

Faculty Research, Scholarly, and Creative Activity

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical …

Informatics At The Frontier Of Cancer Research, Kathleen Noller, Malachi Griffith, Daniel Marcus, Et Al.

2020-Current year OA Pubs

Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterizations, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of …

Sox2 Regulates Foregut Squamous Epithelial Homeostasis And Is Lost During Barrett's Esophagus Development, Ramon U. Jin, Yuanwei Xu, T. Mamie Lih, Yang-Zhe Huang, Toni M. Nittolo, Blake E. Sells, Olivia M. Dres, Jean S. Wang, Qing K. Li, Hui Zhang, Jason C. Mills

2020-Current year OA Pubs

Esophageal adenocarcinoma is increasingly prevalent and is thought to arise from Barrett's esophagus (BE), a metaplastic condition in which chronic acid and bile reflux transforms the esophageal squamous epithelium into a gastric-intestinal glandular mucosa. The molecular determinants driving this metaplasia are poorly understood. We developed a human BE organoid biobank that recapitulates BE's molecular heterogeneity. Bulk and single-cell transcriptomics, supported by patient tissue analysis, revealed that BE differentiation reflects a balance between SOX2 (foregut/esophageal) and CDX2 (hindgut/intestinal) transcription factors. Using squamous-specific inducible Sox2-KO (Krt5CreER/+ Sox2Δ/Δ ROSA26tdTomato/+) mice, we observed increased basal proliferation, reduced squamous differentiation, and expanded metaplastic glands at …

Lipidomic And Proteomic Insights From Extracellular Vesicles In The Postmortem Dorsolateral Prefrontal Cortex Reveal Substance Use Disorder-Induced Brain Changes, Chioma M Okeoma, Wasifa Naushad, Bryson C Okeoma, Carlos Gartner, Yulica Santos-Ortega, Savio Lima-Bastos, Martin R Larsen, Alessio Noghero, Consuelo Walss-Bass, Rodrigo Grassi-Oliveira

Faculty, Staff and Student Publications

Substance use disorder (SUD) significantly increases the risk of neurotoxicity, inflammation, oxidative stress, and impaired neuroplasticity. The activation of inflammatory pathways by substances may lead to reactive astrogliosis and chronic neuroinflammation, potentially mediated by the release of extracellular particles (EPs), such as extracellular condensates (ECs) and extracellular vesicles (EVs). These particles, which reflect the physiological, pathophysiological, and metabolic states of their cells of origin, might carry molecular signatures indicative of SUD. In particular, our study investigated neuroinflammatory signatures in SUD patients by isolating EVs from the dorsolateral prefrontal cortex (dlPFC) Brodmann's area 9 (BA9) from postmortem subjects. We isolated BA9-derived …

Mathematical Modeling And Association Analysis Decipher The Impact Of The Gut Microbiome On Cancer Immunotherapy, Andreas G Hadjigeorgiou, Constantinos Harkos, Aditya K Mishra, Golnaz Morad, Sarah B Johnson, Jennifer A Wargo, Triantafyllos Stylianopoulos, Rakesh K Jain

Faculty, Staff and Student Publications

The gut microbiome has emerged as a key regulator of response to cancer immunotherapy. However, a better understanding of the underlying mechanisms by which the microbiome influences immunotherapy is needed to identify strategies to optimize outcomes. To this end, we developed a mathematical model to obtain insights into the effect of the microbiome on the immune system and immunotherapy response. This model was based on (i) gut microbiome data derived from preclinical studies, (ii) mathematical modeling of the antitumor immune response, (iii) association analysis of microbiome profiles with model-predicted immune profiles, and (iv) statistical models that correlate model parameters with …

Exploring Different Metal-Oxide Cathode Materials For Structural Lithium-Ion Batteries Using Dip-Coating, David Petrushenko, Thomas Burns, Paul Ziehl, Ralph E. White, Paul T. Coman

Faculty Publications

In this study, a selection of active materials were coated onto commercially available intermediate modulus carbon fibers to form and analyze the performance of novel composite cathodes for structural power composites. Various slurries containing polyvinylidene fluoride (PVDF), active material powders, 1-methyl-2-pyrrolidone (NMP) and carbon black (CB) were used to coat carbon fiber tows by immersion. Four active materials—lithium cobalt oxide (LCO), lithium iron phosphate (LFP), lithium nickel manganese cobalt oxide (NMC), and lithium nickel cobalt aluminum oxide (NCA)—were individually tested to assess their electrochemical reversibility. The cells were prepared with a polymer separator and liquid electrolytes and assembled in 2025-coin …

Advancing Comfort And Efficiency: Radiant Heating And Cooling Systems For Sustainable Architecture, Tarek Abedin, Md Mahfuzur Rahman, Zihad Hasan Joy, Khaled Alnamasi, Irfan Anjum Badruddin, Muhammad Nasir Bashir, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

This paper provides a thorough examination of Radiant Heating and Cooling (RHC) systems in the context of sustainable building practices. It covers the evolution, theoretical foundations, technological advancements, financial considerations, and practical uses of RHC systems. A comprehensive historical overview, tracing the evolution of RHC from ancient times to its current state, highlighting significant innovations that have greatly influenced its application in modern architecture. The scientific principles of thermal comfort, including Mean Radiant Temperature (MRT) and thermal asymmetry, which play a crucial role in the design and effectiveness of RHC systems has been explored. This article delves into recent technological …

Beyond Single Metrics: A Holistic Benchmarking Framework For Low-Power Embedded Systems, Hassan Adam

UNLV Theses, Dissertations, Professional Papers, and Capstones

Modern embedded systems encounter a notable challenge in evaluation. While devices may meet traditional benchmarks, they often underperform in real-world applications due to neglected interactions at the system level. Current benchmarking suites, such as MLPerf Tiny and EEMBC ULPMark, evaluate specific metrics including computational throughput, energy efficiency, and memory usage. However, they do not consider the complex interdependencies that affect real-world performance. This thesis presents a benchmarking framework that concurrently evaluates multiple performance dimensions under realistic workloads, revealing system behaviors that are often hidden in conventional benchmarks.Through the comprehensive evaluation of three representative algorithms: Fast Fourier Transform, quantized neural network …

Autonomous Uav Swarm Formation Utilizing Gradient-Driven Contour Mapping For Radiation Source Localization, Edgar Amalyan

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis presents a drone swarm for radiation mapping to aid source localization. The Department of Energy advocates employing UAVs for this task, but existing approaches remain inefficient and impractical in real-world scenarios. Three custom drones are built and flight-tested. A control algorithm to follow a contour, a constant-intensity path, is designed using a gradient fit. By knowing the source’s direction, the drone swarm can fly in the optimal trajectory at every step, leaving nothing to assumption. A program is created that implements formation flight and autonomous navigation. It is tested via a software-in-the-loop simulation utilizing radiation sources and detectors …

Hot Spring Associated Infectious Diseases In The Great Basin And Southwest, Matthew Bentz

UNLV Theses, Dissertations, Professional Papers, and Capstones

Like all bodies of freshwater, natural hot springs can harbor pathogenic microorganisms that carry the threat of infectious disease. The unique chemistry, increased temperature, and popularity for bathing may alter the risk profile of hot springs compared to other natural bodies of water. Despite this risk, the role of hot springs as a reservoir for infectious diseases remains understudied, particularly within the context of regional public health. Nevada and the Great Basin/Southwest have increasingly promoted hot springs for the purposes of tourism, and they share a strong link to the cultural heritage of the region. The unknown risk profile and …

Empowering Science With The World's First High Accuracy And High Throughput Functional Assay, Christopher Giacoletto

UNLV Theses, Dissertations, Professional Papers, and Capstones

Understanding the functional consequences of genetic mutations remains a central challenge in modern biology, with far-reaching implications for human health and disease. While early systematic methods like alanine scanning and phage display provided foundational insights into protein structure and function, the emergence of high-throughput approaches—such as Multiplexed Assays of Variant Effect (MAVEs)—and predictive tools powered by artificial intelligence have vastly expanded our ability to profile mutational landscapes. However, these methods are often constrained by trade-offs between accuracy, scalability, and biological relevance.This dissertation presents the development and application of the GigaAssay, the world’s first high-throughput functional assay capable of delivering both …

Integrated Uav Platform For Multi-Spectral, Thermal, And Eos Imaging In Wildfire Monitoring And Modeling, Md Shariful Islam

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis presents the design and development of a modular unmanned aerial vehicle (UAV) system based on a quadcopter platform for flexible and efficient wildfire-related multimodal image acquisition. Addressing key limitations in ecological UAV monitoring such as sensor inflexibility, time-consuming reconfiguration, and imprecise image georeferencing, the system introduces a versatile payload integration framework supporting three distinct imaging sensors: MicaSense Altum-PT, FLIR Vue Pro R, and Sony Alpha 6000.All onboard components, including the flight controller, autopilot software, GNSS module, motors and ESCs, were selected to optimize stability and payload performance. A gimbal-free, downward-facing mount simplifies field deployment, while custom integration enables …

Functional Biopolymers Applied To Sustainable Technologies In The Environment And Healthcare, Fengjie He

UNLV Theses, Dissertations, Professional Papers, and Capstones

Biodegradable polymeric materials (biopolymers) are naturally derived materials known for their excellent biocompatibility, biodegradability, sustainability, and versatile chemical functionality. They have attracted increasing attention in various applications as alternative to synthetic materials ranging from food packaging to tissue engineering. Meanwhile, with intrinsic advantages, biopolymers have also emerged as promising materials in addressing contemporary challenges in both biomedical and environmental fields. Motivated by the significant potential of biopolymers and the growing need for sustainable materials, my research focuses on the design and engineering of biodegradable polymers with novel modification methods and application directions. In this work, two representative biopolymers are selected: …

Exploring The Processing Of Objects, Settings, And Global Properties In Natural Auditory Scenes, Margaret A. Mcmullin

UNLV Theses, Dissertations, Professional Papers, and Capstones

Our auditory system has a remarkable ability to make sense of complex environments, allowing us to identify what we are hearing and where sounds come from. This process of auditory scene analysis is essential for situational awareness, decision-making, and effective communication in daily life. While much is known about how listeners segregate and identify individual sound sources (e.g., voices), less is understood about how global properties of a scene (e.g., openness, naturalness) contribute to perception. This dissertation examined how object- and setting-level information in natural auditory scenes are processed, and whether they rely on distinct or overlapping mechanisms. In Experiment …

Bio-Inspired Electroactive Polymer (Eap) Sensors For Surface And Canal Flow Sensing In Dynamic Environments, Nazanin Minaian

UNLV Theses, Dissertations, Professional Papers, and Capstones

Nature can often create some of the most efficient and elegant solutions to complex problems, and engineering stands to benefit greatly from these time-tested designs. One of the more sophisticated examples of this is the lateral line system in fish: a distributed network of superficial and canal neuromasts that enables aquatic species to detect fluid disturbances with remarkable precision. This dissertation leverages that biological framework to explore the potential of electroactive polymers (EAPs), aiming not just to replicate structure, but to emulate function.Two classes of EAPs form the basis of this work: electroactive plasticized polymer gels (EPPGs) and ionic polymer-metal …

Investigating Information Extraction And Language Models In Medical Domain Text Processing, Pouyan Nahed

UNLV Theses, Dissertations, Professional Papers, and Capstones

This dissertation demonstrates that carefully adapted language-model pipelines can transform unstructured clinical-trial and pharmacological prose into reliable, low-latency structured data. Four interconnected studies support this claim.Tri-AL platform. An open-source dashboard ingests all 440 k+ ClinicalTrials.gov records—including every historical revision—into a normalized schema and parses the 20 GB XML archive over 10x faster than a BeautifulSoup baseline, while exposing hooks for demographic analytics and supporting integration of user-defined modules. Clinical trial summarization. An encoder–decoder model is trained on 57k description–summary pairs to condense clinical trials into a few sentences. ROUGE evaluation shows a 20% improvement over the baseline, while graph-based evaluation …

Pylro: A Python Calculator For Analyzing Long-Range Structural Order, Kevin Parrish

UNLV Theses, Dissertations, Professional Papers, and Capstones

We present PyLRO, an open-source Python calculator designed to detect, quantify, and display long-range order in periodic structures. The program’s design methodology, workflow, and approach to order quantification are thoroughly described and demonstrated using a simple toy model. Great care is considered in the detailing of the calculation logic, as is standard in the development of computational methods. Additionally, we apply PyLRO to a series of metastable AlPO4 structural intermediates from a prior high-pressure study, demonstrating how to compute and visualize structural order in all directions on a Miller sphere. We further highlight the program’s capabilities through a high-throughput analysis …

The Dropbot: Design And Development Of A Custom Drone For Precision Water Drop Penetration Time (Wdpt) Testing, Mugundan Prakash

UNLV Theses, Dissertations, Professional Papers, and Capstones

Assessing the hydrophobic characteristics of soil is vital for understanding soil wettability or soil-water interactions, particularly in post-wildfire environments where water repellency can significantly impact ecosystem recovery, water infiltration, and erosion control. One key metric in soil wettability studies is the Water Drop Penetration Time (WDPT) test, which evaluates the hydrophobicity of soil and guides land treatment strategies. This thesis presents the design and development of DropBot, a custom-built drone platform engineered for the precise delivery and analysis of water droplets in WDPT tests.The DropBot, a custom drone, integrates a lightweight, 3D-printed frame with a self-leveling platform, enabling consistent droplet …

Development Of An Access Charge Framework For High-Speed Rail Incorporating Rail Replacement Costs And Dynamic Train Characteristics, Nitesh Kumar Yadav

UNLV Theses, Dissertations, Professional Papers, and Capstones

This thesis develops a framework to determine track access charges for shared high-speed rail corridors, with a focus on rail replacement cost driven by train-induced loads. The method explicitly accounts for both static loads, resulting from axle weights, and dynamic loads that arise from train speed and track geometry, particularly curvature. Train characteristics such as axle load, operating speed, frequency of service, and number of wheels are integrated with track parameters, including curve radius, to calculate the total vertical load. These loads are used to estimate the cumulative tonnage threshold for rail replacement and the resulting service life of the …

Sox2 Regulates Foregut Squamous Epithelial Homeostasis And Is Lost During Barrett’S Esophagus Development, Yang-Zhe Huang, Toni M Nittolo, Blake E Sells, Olivia M Dres, Jean S Wang, Qing K Li, Hui Zhang, Jason C Mills

Faculty, Staff and Students Publications

Esophageal adenocarcinoma is increasingly prevalent and is thought to arise from Barrett's esophagus (BE), a metaplastic condition in which chronic acid and bile reflux transforms the esophageal squamous epithelium into a gastric-intestinal glandular mucosa. The molecular determinants driving this metaplasia are poorly understood. We developed a human BE organoid biobank that recapitulates BE's molecular heterogeneity. Bulk and single-cell transcriptomics, supported by patient tissue analysis, revealed that BE differentiation reflects a balance between SOX2 (foregut/esophageal) and CDX2 (hindgut/intestinal) transcription factors. Using squamous-specific inducible Sox2-KO (Krt5CreER/+ Sox2Δ/Δ ROSA26tdTomato/+) mice, we observed increased basal proliferation, reduced squamous differentiation, and expanded metaplastic glands at …

Ophthalmology Virtual Shadowing And Mentorship Program For Undergraduates Underrepresented In Medicine: Framework And 2-Year Survey, Edward S. Lu, Kira L. Wang, Grace Baldwin, Augustine Bannerman, Douglass A. Bryant, Jocelyn Rodriguez, Alice C. Lorch, Ankoor S. Shah, John B. Miller

Journal of Academic Ophthalmology

Background: Increasing underrepresented in medicine (URiM) trainees in ophthalmology is crucial to better serve a diverse patient population. Purpose: To assess the impact of a virtual shadowing and mentorship program for undergraduate students who self-identified as URiM on student interest in medicine, research, and ophthalmology. Methods: A structured, semester-long mentorship program was publicized to premedical undergraduate students at two local universities. Depending on interest, students chose to participate in any of the three following program components: 1) virtual shadowing sessions where faculty presented patient cases and shared career paths, 2) mentorship on a range of topics (e.g. research, career planning), …

Education Outcomes From An Ophthalmology Microsurgery Course For Medical Students, Michael Y. Zhu, Keke Liu, Joanne C. Wen, Sandra Stinnett, Jullia A. Rosdahl

Journal of Academic Ophthalmology

Background: Microsurgery training programs are critical for developing the skills needed by ophthalmology residents, but they are not typically offered to medical students. However, incorporating a microsurgery course into medical school curricula may help students more carefully consider a career in ophthalmology and improve learning outcomes during their training. Purpose: This article describes a microsurgery course for medical students and evaluates its educational impact. Methods: A microsurgery course was developed and implemented for third (MS3) and fourth (MS4) year medical students at Duke University School of Medicine. The fourweek course included six didactic lectures, three hands-on skills sessions, and the …

Analyzing The Role Of Ai In Resident Education: An Evaluation Of Chatgpt On Ophthalmology Trainee Examination Questions By Subtopic, Kimberly Cartagena, Simran Ohri, Carolina Ramos, Yaxel Levin-Carrion, Alexandra Sanchez, Marko Oydanich, Albert S. Khouri

Journal of Academic Ophthalmology

Background: ChatGPT is a large-scale language model trained on various datasets to learn, analyze, and generate human-like answers to user’s questions. To assess its applicability to medical education, more information is required to understand whether its analyses can provide accurate and coherent responses to questions. The aim of this study was to characterize ChatGPT responses to ophthalmology questions according to subtopic to determine where the system might be used reliably in resident education and where its performance remains weak.

Methods: Ophthalmology questions were obtained from a widely utilized study resource, OphthoQuestions. Thirteen sections, each with a differing ophthalmic …

Integrating Artificial Intelligence And Evidence-Based Guidelines Into Nursing Education, Allyson Kornahrens, Kerriann Latten

International Journal of Transformative Teaching and Learning in Higher Education

Artificial Intelligence (AI) and emerging technologies are transforming the healthcare system and patient care delivery. Due to this, there is an essential need for faculty to incorporate AI into the nursing curriculum to educate students about its use and improve preparation for clinical practice. This practice-based article addresses the integration of AI into nursing education for students using AI-driven academic learning activities. These activities, created in alignment with the American Association of Colleges of Nursing (AACN) Essentials, explore clinical decision-making by comparing AI recommendations to evidence-based guidelines. Students are tasked with reflecting on AI’s accuracy and the ethical implications of …

Exploring The Connection Between Teaching Frameworks And Policies For Assessing Teaching, Barbara J. Bird, Beate Brunow, Eric Kyle, Shawn R. Simonson

International Journal of Transformative Teaching and Learning in Higher Education

Most faculty policies aimed at faculty review or assessment of teaching do not include specific teaching criteria and standards but instead lean heavily on student evaluations and peer review of teaching. This approach provides no concrete path for using assessment in a feedback loop that enables teachers to improve teaching. Implementing teaching frameworks can improve feedback loops and assessment policies by providing specific criteria and standards. Developing teaching effectiveness frameworks and connecting them to teaching assessment policies can be a critical step in advancing institutional change initiatives focused on teaching effectiveness. This critical alignment enables sustainable and meaningful change. This …

David Finfrock Diary Entry, David Finfrock

David Finfrock Antartica Exploration

David Finfrock's diary from his trip to Antarctica in December 2002.

Scholars And Changemakers: The Vital Role Of Graduate Students In Campus Women's Centers, Kate J. Freeman, Amber Byrd Ndukwe

Journal for Women and Gender Centers in Higher Education

On college campuses, Women’s Centers serve as a safe space for many marginalized students, faculty, and staff members across campus. These Centers are active spaces that serve a wide variety of individuals including graduate students who play multifaceted roles that are essential to the Center’s work. These students contribute significantly to the functioning of the Center while also gaining professional and personal development from their involvement. In this article, we reflect on our own experiences as two graduate students working within a campus-based Women’s Center while simultaneously integrating literature on the function of graduate students within these spaces. Employing a …

Integrasi Accera Pare Bagi Kehidupan Masyarakat Parigi Dalam Membangun Solidaritas Peserta Didik, Inas Tahirah, I Komang Astina, Yuswanti Ariani Wirahayu

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Accera pare is a harvest party of the Parigi Village community which is held as a form of gratitude of the farmers for the gifts given by God for being given a smooth harvest. The purpose of this research is to explore the meaning of the accera pare ceremony for the people of Parigi Village and the integration of accera pare in building students' sense of solidarity. The research method used descriptive qualitative with ethnographic approach where the data were analyzed by domain analysis, taxonomy, components and cultural themes. Data sources were obtained through participant observation and in-depth interviews. The …

Open Blueprint: 2025–2040 Roadmap For A Circular Orbital Megastation — Rebco Maglev Ring, 6d Spirulina–Mycelium Photobioreactor And Mof-Li Water–Air Loop, Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT o3 and GPT-5 Thinking, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes: EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It discloses 160 enabling inventions for a circular orbital megastation: REBCO maglev gravity ring (mechanics, cryo, safety), 6D spirulina–mycelium photobioreactors (control, QA, imaging, biotech), and …