Digital Commons Network^™

Collaborative Class Zine: Weekly Reflection Assignment With Powerpoint Template, Brett Whysel

Open Educational Resources

Abstract

This collaborative class zine assignment uses a shared PowerPoint format to deepen student learning while building community. Students contribute visual reflections (graphics, diagrams, quotes, or doodles) weekly or periodically throughout the semester. Faculty provide reflection prompts about key takeaways and unclear concepts (sample prompts included). The resource includes both sample LMS instructions and a ready-to-use PowerPoint zine template that works across all disciplines. By combining metacognitive reflection with creative expression, students consolidate learning by finding new connections and applications. The collaborative format creates community connections and joy while students learn from peers' diverse perspectives.

Quantifying Electrokinetics Of Naca0.6V6O16·3h2O Cathode In Aqueous Zinc-Ion Batteries With Znso4 Electrolyte, Shichen Sun, Boyu Wang, Kevin Huang

Faculty Publications

Aqueous zinc-ion batteries (AZIBs) have been actively studied in recent years as a promising solution for next-generation stationary energy storage due to their inherent safety, low cost, and high energy density. However, their practical deployment remains hindered by the limited cycling stability of cathode materials. Overcoming this challenge requires a detailed understanding of cathodic electrokinetics and degradation mechanisms. In this study, we investigate the electrokinetic behavior of a NaCa_0.6V₆O₁₆·3H₂O  (NaCaVO) cathode in ZnSO₄ electrolyte through a combined application of the galvanostatic intermittent titration technique (GITT) and electrochemical impedance spectroscopy (EIS). For …

The Effect Of Transformer Based Pre-Trained Language Models On Biomedical Relation Extractions, Eman Saad, Sherif Kishk, Amr Ali-Eldin, Ahmed I. Saleh

Mansoura Engineering Journal

Biomedical relation extraction represents a critical advancement in healthcare research. As the volume of biomedical publications continues to grow exponentially, efficient extraction of entity relationships has become essential for accelerating knowledge discovery, drug development, and precision medicine initiatives. The field has evolved from focusing on simple binary relations, such as Protein-Protein Interactions (PPI), which are fundamental to understanding cellular processes and therapeutic development, to addressing more complex multi-class classification challenges like Drug-Drug Interactions (DDI) and Chemical-Protein Interactions (CPI).Pre-trained language models have become the cornerstone of modern approaches of extracting biomedical relations. Models like BioBERT, PubMedBERT, and SciBERT, along with general-purpose …

The Impact Of Clean Energy Technology Incentives On Mineral Demand: An Economic Framework For Measuring Response, Hamdiya Orleans-Boham, Mahelet G. Fikru, Kwame Awuah-Offei

Economics Faculty Research & Creative Works

The existing literature establishes the link between clean energy technology (CET) expansion and rising mineral demand but lacks a comprehensive analysis of the transmission mechanisms through which CET policy incentives particularly production and consumption subsidies affect mineral markets. This study addresses the gap by developing an economic model where a CET producer optimally determines mineral input demand and production volume, where the concept of elasticity is used to measure the response of mineral demand to policy incentives. Analytical results demonstrate that the elasticity of mineral demand with respect to CET policies is highly sensitive to returns to scale of CET …

Thinking On Simulation Science And Engineering In The Era Of Artificial Intelligence, Wenhui Fan, Yuan Jiang

Journal of System Simulation

Abstract: With the rapid advancement of artificial intelligence and computing technologies, simulation technologies have leapfrogged, propelling the discipline of simulation toward greater maturity. Research progress in computer simulation technologies both in China and abroad was reviewed, and the definition and connotation of simulation were clarified. It was proposed that the Chinese terms "仿真" "仿效"and " 模拟" be unified under a single term " 仿真" with corresponding "Simulation" "Emulation" and "Analog" in English translated uniformly as "Simulation". Simulation science and engineering discipline was delineated, which was grounded in three core theoretical foundations: analogical theory,computational theory, and model validation theory. The first-level …

A Perovskite Nanocomposite And Self-Assembled Nanoparticle-Decorated Cathode For Low Temperature Sofcs, Chunyang Yang, Guoan Wang, Xingjian Xue

Faculty Publications

One-pot route synthesis of an A-site Sm-doped simple perovskite with nominal composition Sm_0.10Ba_0.90Co_0.8Fe_0.2O_3−δ leads to a novel perovskite nanocomposite containing ∼90% A-site cation deficient cubic simple perovskite Ba0.925(Co/Fe)0.962Sm0.038O_3−δ and ∼10% orthorhombic layered perovskite SmBa(Co/Fe)₂O_5+δ. The synergy of the two phases in the nanocomposite results in high electrochemical kinetic properties at low temperatures. With the novel perovskite nanocomposite, a surface nanoparticle-decorated nanocomposite cathode is self-assembled through a one-step sintering process. The corresponding anode-supported cell delivers a peak power density of 1271 mW cm^{−2 …}

Predicting Sleep And Sleep Stage In Children Using Actigraphy And Heartrate Via A Long Short-Term Memory Deep Learning Algorithm: A Performance Evaluation, Robert Weaver Med, Phd, James White, Olivia Finnegan, Hongpeng Yang, Zifei Zhong, Keagan Kiely, Catherine Jones, Yan Tong, Srihari Nelakuditi, Rahul Ghosal, David E. Brown, Russell R. Pate Ph.D., Gregory J. Welk, Massimiliano De Zambotti, Yuan Wang, Sarah Burkart, Elizabeth L. Adams Phd, Bridget Armstrong, Michael Beets Med, Mph, Phd

Faculty Publications

Children's ambulatory sleep is commonly measured via actigraphy. However, traditional actigraphy measured sleep (e.g., Sadeh algorithm) struggles to predict wake (i.e., specificity, values typically < 70) and cannot predict sleep stages. Long short-term memory (LSTM) is a machine learning algorithm that may address these deficiencies. This study evaluated the agreement of LSTM sleep estimates from actigraphy and heartrate (HR) data with polysomnography (PSG). Children (N = 238, 5–12 years,52.8% male, 50% Black 31.9% White) participated in an overnight laboratory polysomnography. Participants were referred be-cause of suspected sleep disruptions. Children wore an ActiGraph GT9X accelerometer and two of three consumer wearables(i.e., Apple Watch Series 7, Fitbit Sense, Garmin Vivoactive 4) on their non-dominant wrist during the polysomnogram. LSTM estimated sleep versus wake and sleep stage (wake, not-REM, REM) using raw actigraphy and HR data for each 30-s epoch. Logistic regression and random forest were also estimated as a benchmark for performance with which to compare the LSTM results. A 10-fold cross-validation technique was employed, and confusion matrices were constructed. Sensitivity and specificity were calculated to assess the agreement between research-grade and consumer wearables with the criterion polysomnography. For sleep versus wake classification, LSTM outperformed logistic regression and random forest with accuracy ranging from 94.1to 95.1, sensitivity ranging from 94.9 to 95.9 across different devices, and specificity ranging from 84.5 to 89.6. The addition of HR improved the prediction of sleep stages but not binary sleep versus wake. LSTM is promising for predicting sleep and sleep staging from actigraphy data, and HR may improve sleep stage prediction.

An Acoustofluidic Device For Sample Preparation And Detection Of Small Extracellular Vesicles, Jessica F. Liu, Jianping Xia, Joseph Rich, Shuaiguo Zhao, Kaichun Yang, Brandon Lu, Ying Chen, Tiffany Wen Ye, Tony Jun Huang

Faculty Publications

Small extracellular vesicles (sEVs) have emerged as powerful vectors for liquid biopsy, offering a noninvasive window into the dynamic physiological and pathological states of the body. However, to fully leverage the clinical potential of sEV biomarkers, it is imperative to develop robust and efficient technologies for their isolation and analysis. In this study, we introduce a novel sharp-edge acoustofluidic platform designed for rapid and effective sample preparation, coupled with sensitive detection of specific sEV populations based on their surface markers. Our approach utilizes acoustically activated sharp-edge microstructures to concentrate bead-bound sEVs within the microfluidic device, facilitating immediate visualization by fluorescence …

Vibration-Based Detection For The Monitoring Of Neonatal Bcpap Respiratory Support To Minimize Duration Of Disconnections, Kaitlyn G. Calabresi, Meera R. Bhat, Lavinia L. Kong, Eli J. Foster, Jonathan Wang, Sangeeta Koilada, Angela Mak, Aastha Kapadia, Niam Mohseni, W. Keith Leung, Suneetha Desiraju, Constanza Miranda

School of Medicine Faculty Publications

Bubble continuous positive airway pressure (bCPAP) is a minimally invasive respiratory support for neonates experiencing respiratory distress syndrome (RDS). It exerts continuous, oscillatory air pressure to encourage lung function and development. Neonates’ movement may cause disconnections at the nasal interface. These disconnections are characterized by the cessation of bubbling at the bCPAP respiratory circuit output and frequently go unnoticed until hypoxia develops. Common Neonatal Intensive Care Unit (NICU) bCPAP systems lack a built-in alarm or accessory device to monitor for disconnections. As a result, nursing personnel must exercise extreme caution utilizing current bCPAP procedure. If a neonate is disconnected, it …

Retrospective Study And Predictive Modeling Of The Impact Of Social Determinants Of Health On Sepsis Outcomes, Mwembezi Aaron Nyelele

LSU Doctoral Dissertations

Sepsis, a life-threatening organ failure caused by the body’s abnormal and harmful response to an infection, remains a major global and national health challenge. In the United States, it contributes significantly to hospital mortality and imposes a substantial economic burden, with billions spent annually on treatment. Early diagnosis is difficult due to the nonspecific nature of sepsis symptoms, often leading to delays in care and poorer outcomes. As the incidence and severity of sepsis rise, identifying factors that influence outcomes is increasingly critical. Emerging research has shown that Social Determinants of Health (SDOH), including economic stability, education, neighborhood and built …

Towards Leveraging Social Media Data For Fostering Collaborations Among Non-Profits, Monazil Chowdhury

LSU Doctoral Dissertations

Nonprofit organizations serve a crucial role in tackling a wide range of significant social, environmental, and economic issues. But it is often hard to get a clear picture of their work because their information is spread out and it is difficult to see how they are collaborating. To address this issue we developed a web-based tool to collect scattered data—from a variety of sources, such as the IRS, social media, and the Census, into one easy-to-use resource. The tool begins by taking IRS records and geocoding each nonprofit’s physical address With its coordinates. It then retrieves census tract information from …

Theoretical And Experimental Investigation Of Liquid-Liquid Phase Separation: Characterizing Elastin-Like-Polypeptides, Adam D. Quintana

Chemical and Biological Engineering ETDs

This dissertation develops and validates a semi-empirical Flory–Huggins-based interaction model, combined with Cahn–Hilliard simulations, for predicting multi-component liquid–liquid phase separation (LLPS) in elastin-like polypeptide (ELP) systems. Equilibrium droplet compositions, measured using a PDMS-based microfluidic device, enabled direct parameterization of interaction coefficients. The model was applied to generate phase diagrams and assess composition dependence in ternary mixtures. Cahn–Hilliard simulations were conducted to explore potential phase morphologies under different interfacial conditions. Multi-component Lattice Boltzmann simulations were implemented to model droplet morphology evolution under varying interfacial and diffusive parameters, reproducing experimentally relevant morphologies. A three-phase wetting study revealed conditions for selective wetting and …

Wind Tunnel Model Of The Jack Rabbit Ii Field Experiments In The Mock Urban Array: Part 2. Approach Wind Conditions And Particle Image Velocimetry Measurements Of Simulated Chlorine Releases, Paulo V. Lopez, Thomas O. Spicer, Chad T. Smith

Chemical Engineering Faculty Publications and Presentations

The Jack Rabbit II (JR-II) Mock Urban Environment field test was reproduced in a 1:50 scale physical model in the wind tunnel at the Chemical Hazards Research Center of the University of Arkansas. The agreement of the approaching wind characteristics between field test and model was verified using 3D Laser Doppler Velocimetry (LDV). 2D Particle Image Velocimetry (PIV) tests were conducted in the model to obtain velocity measurements in the MUE. Velocity measurements taken before and during a simulated chlorine release were compared. PIV results show the general flow complexity in the last rows of the MUE and the impact …

Conceptualizing The Research Cycle For The Field Of Materials Science And Engineering, Jennifer L.W. Carter

Faculty Scholarship

Abstract: Early-career materials researchers often receive guidance from their individual advisors on best practices for conducting research, but the materials science community lacks an explicit model of the research process. As a result, the lived experience of an individual researcher can be quite different from their peers since they may be exposed to a different unique set of implicit research steps. In this article, we translate an existing research heuristic from other fields and make explicit the steps, methodologies, and strategies materials science engineering researchers utilize to advance our collective materials science knowledge. This newly proposed research cycle can improve …

Conceptualizing The Research Cycle For The Field Of Materials Science And Engineering, Jennifer Carter

Faculty Scholarship

Early-career materials researchers often receive guidance from their individual advisors on best practices for conducting research, but the materials science community lacks an explicit model of the research process. As a result, the lived experience of an individual researcher can be quite different from their peers since they may be exposed to a different unique set of implicit research steps. In this article, we translate an existing research heuristic from other fields and make explicit the steps, methodologies, and strategies materials science engineering researchers utilize to advance our collective materials science knowledge. This newly proposed research cycle can improve the …

Exploring The Effect Of Led-To-Photodetector Spacing On Subcutaneous Photoplethysmography For Continuous Blood Pressure Measurement, Dario Cabal, Brian Nguyen, David B. Green, Kevin Kilgore, Varun Thakkar, Michael J. Fu, Steve J. Majerus

Student Scholarship

Photoplethysmography (PPG) is widely used to measure heart rate, blood oxygenation, and more recently, blood pressure. Implanted PPG systems offer the possibility to measure similar real-time measures of cardiovascular health, however, the detection method may vary due to a lack of capillary vessels for PPG sensors to observe in muscle tissue. To improve volumetric blood detection in large muscles, without relying on the capillary density of skin, a flexible PPG sensor was developed. The sensor included multiple spacing of illuminating infrared (IR) light emitting diodes (LEDs) and a single IR photodetector. This arrangement was expected to enable detection of blood …

Pd-Based Hydrogen Separation Membranes Synthesized Via A Liquid-Phase Route, Chase W. Thompson

Chemical and Biological Engineering ETDs

Palladium (Pd) membranes have gained significant attention for their ability to selectively separate hydrogen, a critical process for clean energy applications such as fuel cells and hydrogen storage. However, challenges such as grain growth, sintering, hydrogen embrittlement, and film uniformity limit their scalability and long-term stability. This thesis focuses on the controlled synthesis, deposition, and stability of Pd nanoparticles to optimize membrane performance for hydrogen separation. This work investigates solution-phase synthesis of Pd nanoparticles, focusing on temperature, precursor concentration, and solvent composition as key variables influencing particle growth and dispersion. Pd membranes were fabricated using nanoparticle deposition onto porous supports, …

The Rise Of Foss In India: Empirical Evidence And Insights From Cross-Sectoral Case Studies, Arul George Scaria, Suryaprakash Mishra, Shubham Shinde, Rashi Singhal

Research Reports

The report analyses the adoption of FOSS in India, primarily through case studies across four sectors (healthcare, education, finance, and software and IT services) and different types of organisations (start-ups, non-profits, medium, large, and public sector organisations). The study highlights both the benefits and challenges experienced by organisations using FOSS. The study illustrates that while organisations benefit from increased innovations, cost/ time savings, flexibility, and enhanced security, they also face challenges such as lack of enough skilled personnel and limited community support. Organisations are also seen taking a cautious approach to licensing, favouring permissive licenses over restrictive ones. Based on …

Machine Tool Interoperability In Smart Manufacturing And Industry 4.0, M. R. Mccormick, Mohammed Shafae, Thorsten Wuest

Faculty Publications

Real-time decision making is supported by data-hungry emerging technologies such as machine learning and digital twins. Innovations in manufacturing process control utilizing these technologies are constrained by interoperability. Marketing materials, sales pitches, and academic literature portray interoperability on the factory floor as seamless and robust. However, this study demonstrates that in spite of plentiful mature standards, interoperability on the factory floor is neither seamless nor robust. To exemplify interoperability in the context of an established and widely adopted standard, this study analyzes the interoperability of machine tools produced by a premier equipment builder which has exceeded US$1 billion in sales …

Investigation Of The Isbr Method With A Quad Detector For The Measurement Of Turbine Rotor Inlet Temperature, A. Cole Cecil

Theses and Dissertations

Temperature measurements at the inlet of a gas turbine inlet have proven challenging due to the high flow velocities, limited space, and high temperatures. This work investigates the use of the Integrated Spectral Band Ratio (ISBR) method to measure temperature using a new set of gas bands and a new method for collecting, measuring m and converting raw signals to digital temperature data at low cost and high speed (4 Hz). The Pressurized Oxy-Coal (POC) reactor was refurbished and used in this work to simulate turbine inlet conditions. The POC was modified to produce a stable natural gas and air …

Oscillatory Flow Improves Hydrodynamic Ordering Of Soft Suspensions In Rectangular Channels, Paul C. Millett

Mechanical Engineering Faculty Publications and Presentations

A computational study is presented that examines the hydrodynamic ordering of soft-particle suspensions within rectangular channels undergoing both steady and oscillatory flow. In these conditions, particles assemble into one-dimensional train-like configurations aligned in the flow direction. The results indicate that oscillatory flow facilitates a significant improvement in the ordering process, particularly for the assembly of multiple side-by-side trains within the channel. Several key parameters are systematically varied, including the Wolmersley number (Wo) representing the oscillatory frequency, the capillary number (Ca) representing the particle deformability, and the particle volume fraction (phi). It is found that optimal ordering occurs for a particular …

Design Of A Simplified Biomimetic Autonomous Entertainment Robot, Jessica E. Morris, Shanny May Ruiz, Morgan Snyder, Hannah Guild, Gabriel Cardona-Tous

Graduate Scholarship and Creative Works

The advancement of technology has paved the way for robots with the purpose of entertainment to become more popular. However, the exploration of biomimetic actions as a factor of entertainment is majorly limited to the mimicry of young domesticated animals such as puppies and kittens, with some notable exceptions. However, there is a wide range of possibilities for robotics that mimic animals marketed as pets, outside of the common examples. This work seeks to explore the opportunity for autonomous systems with entertainment driven and expressive actions in the family of Testudines (turtles and tortoises), an undomesticated species, but still often …

Enhancing Visibility On A Science Dmz With P4-Perfsonar, Ali Mazloum, Elie Kfoury, Ali Alsabeh, Jose Gomez, Jorge Crichigno

Faculty Publications

The Science Demilitarized Zone (Science DMZ) is a specialized network designed to facilitate the transfer of large-scale scientific data. One of the key elements of the Science DMZ is perfSONAR, an active performance measurement device that monitors end-to-end paths over multiple domains. Although versatile, perfSONAR faces limitations such as restricted visibility of events and coarse-grained measurements. This paper proposes a scheme that integrates P4 programmable data plane (PDP) switches with perfSONAR. P4 PDP switches are passively installed and operate on real-time traffic copies, providing flexibility to collect fine-grained custom measurements and report events in the data plane. This integration enables …

Exploring Sub-Protocols For Spectrum Cooperation And Transparency, Ashton Palacios

Theses and Dissertations

With the proliferation of terrestrial and space-based wireless radio frequency transmitters and receivers in recent years, there is a greater need for spectrum cooperation and transparency. Spectrum is a limited resource that is shared between all wireless devices, both active and passive. The spectrum needs of today and tomorrow demand new techniques to enable cooperation and device transparency. This dissertation explores an innovative field, wireless sub-protocols, that provides novel software solutions for spectrum cooperation and transparency. The first application is radio astronomy. Radio astronomy deploys highly sensitive, passive RF receivers to capture faint signals from distant celestial bodies. Because passive …

Mediating The Exquisite: Aesthetic Affordances Of The Network Arts, Seth Adams

Journal of Network Music and Arts

This paper argues that the Network Arts afford uniquely nuanced aesthetic interactions among humans and between humans and machines. After defining these moments under a new concept I call exquisite musicking, I investigate how distributed networks of human and nonhuman actors create experiences that challenge or complicate traditional notions of agency, ensemble, aesthetics, and synchrony. Using Actor-Network Theory as a lens of inquiry, I explore the exquisite affordances of network-based musicking, discussing how pitch, timbre, and texture are co-created in networked performances. I also examine how exquisite musicking could serve as a fruitful concept in music education, particularly in pedagogical …

Visionarium, July 2025, Full Issue

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

No abstract provided.

Writing As Curation: Empowering Authorial Agency In Ai-Assisted Composition Through Style Prompting And Quotation Glosses, Daniel Plate

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

As artificial intelligence writing tools become increasingly prevalent in educational settings, students often report feeling alienated from AI-generated content, describing it as lacking their "authentic voice." This article presents a pedagogical approach that addresses this challenge by repositioning students as curators of their authorial identities rather than passive consumers of AI-generated text. Through a dual curation methodology combining quotation glosses with style prompting, students develop multiple authorial voices for different rhetorical situations while maintaining agency over their writing process. The approach builds on classical rhetorical traditions while leveraging contemporary AI capabilities, creating a framework where students collaborate with AI tools …

Enhanced Scratch Resistance Of Graphite Coating Using A Polydopamine Adhesive Underlayer, Adedoyin Abe, Min Zou

Mechanical Engineering Faculty Publications and Presentations

Graphite has great potential as a solid lubricant due to its low friction properties, but its poor adhesion to metal substrates limits its durability unless modified. This study explores the use of polydopamine (PDA), a bioinspired adhesive polymer, as an underlayer to enhance the adhesion and scratch resistance of graphite coatings applied to stainless steel (SS) substrates. Progressive load scratch tests were performed using a stainless steel ball counterface under normal loads ranging from 0.5 to 18 N. The PDA-modified coatings demonstrated significantly improved adhesion and durability, withstanding contact pressures up to 1.6 GPa without delamination or failure. In contrast, …

A Survey On Security Applications With Smartnics: Taxonomy, Implementations, Challenges, And Future Trends, Serigo Elizalde, Ali Alsabeh, Ali Mazloum, Samia Choeiri, Elie Kfoury, Jose Gomez, Jorge Crichigno

Faculty Publications

Over the last decade, network applications have grown exponentially, demanding high-speed interconnects. Unfortunately, chip manufacturers are approaching the upper limits of silicon-based computing with slow improvements in computational performance and energy efficiency. This trend has forced the industry to shift paradigms, moving from monolithic architectures to heterogeneous, domain-specific designs. Moreover, the ever-evolving threats compromise digital services and demand more scalable and flexible solutions to ensure service continuity in production networks. Smart Network Interface Cards (SmartNICs) are a product of this new paradigm, integrating domain-specific engines and general-purpose cores to offload various network infrastructure tasks, including those related to security. This …

Exact Solutions Of M-Fractional Complex Ginzburg-Landau Equation Via Two Analytical Methods, Nematollah Kadkhoda, Mojtaba Baymani, Maad M. Mijwil, Mostafa Abotaleb

Iraqi Journal for Computer Science and Mathematics

This article investigates the M-fractional complex Ginzburg-Landau (CGL) equationby utilizing the modified simplest equation method and the modified G'G-expansion method. The CGL holds significant importance in the realm of oscillatory phenomena and optical fibers. By implementing a fractional complex transformation, the M-fractional CGL equation is transformed into an ordinary differential equation (ODE).By employing these methodologies, bright periodic solutions, periodic solutions, and dark wave solutions relevant to phenomena witnessed in nonlinear optics or plasma environments are ascertained.It is demonstrated that these methods are very powerful and efficient to solve many fractional differential equations.

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