Digital Commons Network^™

Flapping Dynamics And Wing Flexibility Enhance Odor Detection In Blue Bottle Flies, Naeem Haider, Zhipeng Lou, Chengyu Li

Faculty Scholarship

One of the most ancient and evolutionarily conserved behaviors in the animal kingdom involves utilizing wind-borne odor plumes to track essential elements such as food, mates, and predators. Insects, particularly flies, demonstrate a remarkable proficiency in this behavior, efficiently processing complex odor information encompassing concentrations, direction, and speed through their olfactory system, thereby facilitating effective odor-guided navigation. Recent years have witnessed substantial research explaining the impact of wing flexibility and kinematics on the aerodynamics and flow field physics governing the flight of insects. However, the relationship between the flow field and olfactory functions remains largely unexplored, presenting an attractive frontier …

Human Mesenchymal Stem Cell Therapy: Potential Advances For Reducing Cystic Fibrosis Infection And Organ Inflammation, Tracey L. Bonfield, Hillard M. Lazarus

Faculty Scholarship

Innovation in cystic fibrosis (CF) supportive care, including implementing new antimicrobial agents, improved physiotherapy, and highly effective modulators therapy, has advanced patient survival into the 4th and 5th decades of life. However, even with these remarkable improvements in therapy, CF patients continue to suffer from pulmonary infection and other visceral organ complications associated with long-term deficient cystic fibrosis transmembrane conductance regulator (CFTR) expression. Human mesenchymal stem cells (MSCs) have been utilized in tissue engineering based upon their capacity to provide structural components of mesenchymal tissues. An alternative role of MSCs, however is their versatile utilization as cell-based infusion powerhouses due …

Error-Based Dynamic Velocity Range Of Piv Processing Algorithms, Gauresh Raj Jassal, Bryan E. Schmidt

Faculty Scholarship

The ability of PIV processing algorithms to accurately determine velocity vectors across the range of motion present in PIV images is characterized by the algorithm’s dynamic velocity range (DVR). Conventionally, the DVR of PIV is defined using the ratio between the maximum and minimum resolvable particle displacements, with the minimum based on the uncertainty in the location of a single particle in the optical system. In this work, it is demonstrated that this definition is inadequate in practice, as it ignores many factors which affect the accuracy of an algorithm when determining small displacements, and the error in vectors with …

Plasmonic Enhancement Of Photothermal Conversion Efficiency In Gold-Nanoparticle Hydrogels, Mai S. Rashwan, Abed M. Al-Sheikh, Harihara Baskaran, Clemens Burda

Faculty Scholarship

This study investigates the photothermal properties of citrate-capped gold nanoparticles (Au NPs) dispersed in agarose gel, examining various sizes and concentrations, particularly within a low-concentration range (0.2–2.5 nM). Heat transfer measurements are conducted on Au NP hydrogels using laser-light induced heating, revealing a size- and concentration-dependent temperature increase compared to the plain agarose gel matrix. Experimental data, combined with finite-element analysis, demonstrate that photothermal energy conversion efficiencies are dependent on NP size and concentration, while the thermal conductivity (TC) of all Au NP hydrogels remains constant and independent of these parameters within the tested concentration range. UV-visible spectroscopy indicates that …

Pirfenidone Delivery By Blow-Molded Pcl Nanofiber Mat To Reduce Collagen Synthesis By Fibroblasts, Maximilian Zernic, Maryo Kohen, Faruk H. Orge, Amel Ahmed, Ozan Akkus

Faculty Scholarship

Elevated intraocular pressure (IOP) during glaucoma is sometimes mitigated by insertion of glaucoma drainage devices (GDD). Excessive fibrosis around GDD plates may confine drainage and requiring revision surgeries in some patients. Pirfenidone (PFD) is an FDA approved drug to treat lung fibrosis, and it may be effective in limiting capsule formation around the GDD. To enable this, we aimed to develop a polymeric GDD encasement sheath that can sustainably release PFD to reduce fibrous capsule formation. The PFD-doped sheath was manufactured by blow molding of (poly)caprolactone (PCL). We investigated the effects of PCL concentration, spray distance, and molecular weight on …

The Virtual Wunderkammer: Integrating Neuroinclusive Design And Ai-Augmented Technologies For Immersive Museum Experiences, Piper Hutson, James Hutson

Faculty Scholarship

The Virtual Wunderkammer represents an innovative paradigm in museum exhibition design, integrating neuroinclusive principles with artificial intelligence (AI)-augmented technologies to foster immersive and cognitively accessible visitor experiences. Historically, the Wunderkammer, or "cabinet of curiosities," served as a precursor to modern museums, offering eclectic collections that stimulated intellectual curiosity and sensory engagement. The contemporary reimagining of this concept utilizes emerging technologies such as augmented reality (AR), virtual reality (VR), haptic feedback, and olfactory-enhanced digital environments to create personalized, adaptive museum experiences. This study explores the critical intersection of neuroaesthetics, cognitive science, and AI-driven interactivity in digital exhibitions, emphasizing their potential to …

Regionalism And The Federal Reserve Banks, Kathryn Judge, Lev Menand

Faculty Scholarship

Regionalism is central to our country’s central banking system. Rather than rely on a single organization to set monetary policy and oversee banks, Congress created a multiplicity of bodies including twelve Federal Reserve Banks (FRBs), each designed to operate in a different part of the country. These FRBs are an early and undertheorized example of how the federal government uses regional bodies to formulate and administer federal policy. When they were first authorized in 1913, their regional character assuaged concerns about centralizing power over the economy. Today, the FRBs continue to play a number of important roles, helping to shape …

Human-Ai Collaboration In Writing: A Multidimensional Framework For Creative And Intellectual Authorship, James Hutson

Faculty Scholarship

The integration of AI technologies into the writing process has significantly altered traditional notions of authorship, creativity, and intellectual labor. Historically, writing was seen as a human-driven cognitive and creative exercise, but with the rise of generative AI tools such as ChatGPT and Claude, the line between human and AI contributions has become increasingly ambiguous. This paper addresses the limitations of the current sliding scale model, which views AI involvement as ranging from “none” to “complete”. In its place, we propose a new multidimensional framework that more accurately reflects the complexity of human-AI collaboration in writing. The model includes axes …

Scalability Of A Graph Neural Network In Accurate Prediction Of Frictional Contact Networks In Suspensions, Armin Aminimajd, Joao Maia, Abhinendra Singh

Faculty Scholarship

Dense suspensions often exhibit shear thickening, characterized by a dramatic increase in viscosity under large external forcing. This behavior has recently been linked to the formation of a system-spanning frictional contact network (FCN), which contributes to increased resistance during deformation. However, identifying these frictional contacts poses experimental challenges and is computationally expensive. This study introduces a graph neural network (GNN) model designed to accurately predict FCNs by two dimensional simulations of dense shear thickening suspensions. The results demonstrate the robustness and scalability of the GNN model across various stress levels (s), packing fractions (f), system sizes, particle size ratios (D), …

Redefining Cell Culture Using A 3d Flipwell Co-Culture System: A Mimetic For Gut Architecture And Dynamics In Vitro, Saori Furuta

Faculty Scholarship

Gut mucosae are composed of stratified layers of microbes, a selectively permeable mucus, an epithelial lining, and connective tissue homing immune cells. Studying cellular and chemical interactions between the gut mucosal components has been limited without a good model system. We have engineered a three-dimensional (3D) multi-cellular co-culture system we coined “3D Flipwell system” using cell culture inserts stacked against each other. This system allows an assessment of the impact of a gut mucosal environmental change on interactions between gut bacteria, epithelia, and immune cells. As such, this system can be utilized in examining the effects of exogenous stimuli, such …

Super-Resolution Imaging Reveals Resistance To Mass Transfer In Functionalized Stationary Phases, Ricardo Monge Neria, Muhammad Zeeshan, Aman Kapoor, Tae Kyong John Kim, Nichole Hoven, Jeffrey Pigott, Burcu Gurkan, Christine Duval, Lydia Kisley

Faculty Scholarship

Chemical separations are costly in terms of energy, time, and money. Separation methods are optimized with inefficient trial-and-error approaches that lack insight into the molecular dynamics that lead to the success or failure of a separation and, hence, ways to improve the process. We perform super-resolution imaging of fluorescent analytes in five different commercial liquid chromatography materials. Unexpectedly, we observe that chemical functionalization can block more than 50% of the material’s porous interior, rendering it inaccessible to small-molecule analytes. Only in situ imaging unveils the inaccessibility when compared to the industry-accepted ex situ characterization methods. Selectively removing some of the …

Super-Resolution Imaging Reveals Resistance To Mass Transfer In Functionalized Stationary Phases, Ricardo Monge Neria, Muhammad Zeeshan, Aman Kapoor, Tae Kyong John Kim, Nichole Hoven, Jeffrey S. Pigott, Burcu Gurkan, Christine E. Duval, Lydia Kisley

Faculty Scholarship

Chemical separations are costly in terms of energy, time, and money. Separation methods are optimized with inefficient trial-and-error approaches that lack insight into the molecular dynamics that lead to the success or failure of a separation and, hence, ways to improve the process. We perform super-resolution imaging of fluorescent analytes in five different commercial liquid chromatography materials. Unexpectedly, we observe that chemical functionalization can block more than 50% of the material’s porous interior, rendering it inaccessible to small-molecule analytes. Only in situ imaging unveils the inaccessibility when compared to the industry-accepted ex situ characterization methods. Selectively removing some of the …

Towards More Sustainable Oceans: A Review Of The Pressing Challenges Posed By Marine Plastic Litter, Peter Yang

Faculty Scholarship

Marine littering is a global challenge and a significant threat to a sustainable planet, requiring comprehensive and effective mechanisms to address it in a comprehensive manner. This study reports on a bibliometric analysis that has identified the extent to which the topic has been explored in the international literature, by focusing on geographical scope, the emphasis on (micro)plastic litter and on policy measures. Additionally, as a complement to the assessment of the recent literature on marine plastic litter, this study reviews some case studies, identifying some trends on how to cope with this problem. The findings underscore the imperative for …

Novel Biomarkers Of Fetal And Neonatal Environmental Exposure, Effect And Susceptibility, Cynthia F. Bearer

Faculty Scholarship

Abstract: Rapid advancements in science and technology have allowed medical providers to treat wider ranges of diseases with safer and more effective therapies than ever before. One of the areas of health that has been consistently understudied, however, is one that affects us all: environmental health or the effects that the chemicals we are exposed to every day have on our acute and chronic health. This effect can be exacerbated during and shortly after pregnancy, as an individual exposure is often shared by both the mother and the fetus/neonate. The diagnosis and monitoring of chemical exposure can be quite challenging, …

Microstructural, Oxidation, And Mechanical Behavior Of Nbti-Based Refractory Alloys With 5 To 10 Pct Co, Cr, And Ni Additions, Tae Kyong John Kim, Jennifer Carter

Faculty Scholarship

NbTi-based refractory alloys with additions of Co, Cr, and Ni represent an interesting medium-entropy alloy system with potential for protective oxide film formation, high strength, and ductility. This study investigates the microstructural evolution, oxidation behavior, and mechanical properties of NbTi-based alloys containing 5 to 10 at. pct Co, Cr, and Ni. CALPHAD predictions suggest that this composition range can be heat treated to obtain a predominantly body-centered cubic matrix phase. Mechanical properties, including microhardness, yield strength, maximum strength, and specific strength are evaluated through isothermal compression tests conducted between room temperature and 800 °C. The oxidation kinetics of these alloys …

The Evolution And Future Of Microservices Architecture With Ai-Driven Enhancements, Jill Willard, James Hutson

Faculty Scholarship

Microservices architecture has revolutionized software development by enabling the decomposition of monolithic applications into smaller, more manageable services. While this shift has reduced risks and enhanced system resiliency, the increasing complexity of managing numerous microservices presents new challenges. As Artificial Intelligence (AI) continues to evolve, there is a growing need to explore how autonomous AI agents can optimize microservices architectures, particularly in terms of communication and workflow orchestration. The purpose of this study is to investigate how AI agents can autonomously interact and manage microservices, reducing human intervention and enhancing system efficiency. The key research question guiding this investigation relates …

Thrombocytopenia In Sepsis, Alireza Setarehaseman, Robert W. Maitta

Faculty Scholarship

Platelets, traditionally known for their role in hemostasis, have emerged as key players in immune response and inflammation. Sepsis, a life-threatening condition characterized by systemic inflammation, often presents with thrombocytopenia, which at times, can be significant. Platelets contribute to the inflammatory response by interacting with leukocytes, endothelial cells, and the innate immune system. However, excessive platelet activation and consumption can lead to thrombocytopenia and exacerbate the severity of sepsis. Understanding the multifaceted roles of platelets in sepsis is crucial for developing effective therapeutic strategies. Targeting platelet-mediated inflammatory responses and promoting platelet production may offer potential avenues for improving outcomes in …

A Review Of Optical Flow Velocimetry In Fluid Mechanics, Gauresh Raj Jassal, Bryan E. Schmidt

Faculty Scholarship

Optical flow methods have been developed over the past two decades for application to particle image velocimetry (PIV) images with the goal of acquiring higher resolution measurements of the velocity field than conventional cross-correlation (CC)-based techniques. Numerous optical flow velocimetry (OFV) algorithms have been devised to solve the ill-posed optical flow problem, with various physics-inspired strategies to tailor them to fluid flows. While OFV can be applied to continuous scalar fields, it has demonstrated the most success on images of tracer particles, i.e. traditional planar PIV images. Compared to state-of-the-art CC algorithms, OFV methods have demonstrated an order of magnitude …

Applicable And Generalizable Machine Learning For Intelligent Welding In Automotive Manufacturing, Peng Edward Wang, Xijia Zhao

Faculty Scholarship

This review paper examines the application and challenges of machine learning (ML) in intelligent welding processes within the automotive industry, focusing on resistance spot welding (RSW) and laser welding. RSW is predominant in body-in-white assembly, while laser welding is critical for electric vehicle battery packs due to its precision and compatibility with dissimilar materials. The paper categorizes ML applications into three key areas: sensing, in-process decision-making, and post-process optimization. It reviews supervised learning models for defect detection and weld quality prediction, unsupervised learning for feature extraction and data clustering, and emerging generalizable ML approaches like transfer learning and federated learning …

Can Chatgpt Implement Finite Element Models For Geotechnical Engineering Applications?, Hyoung Suk Suh

Faculty Scholarship

This study assesses the capability of ChatGPT to generate finite element code for geotechnical engineering applications from a set of prompts. We tested three different initial boundary value problems using a hydro-mechanically coupled formulation for unsaturated soils, including the dissipation of excess pore water pressure through fluid mass diffusion in one-dimensional space, time-dependent differential settlement of a strip footing, and gravity-driven seepage. For each case, initial prompting involved providing ChatGPT with necessary information for finite element implementation, such as balance and constitutive equations, problem geometry, initial and boundary conditions, material properties, and spatiotemporal discretization and solution strategies. Any errors and …

Prediction Of Obstructive Coronary Artery Disease Using Coronary Calcification And Epicardial Adipose Tissue Assessments From Ct Calcium Scoring Scans, Juhwan Lee, Tao Hu, Ammar Hoori, Hao Wu, Justin N. Kim, Robert Gilkeson, Sanjay Rajagopalan, David L. Wilson

Faculty Scholarship

Background: Low-cost/no-cost non-contrast CT calcium scoring (CTCS) exams can provide direct evidence of coronary atherosclerosis. In this study, using features from CTCS images, we developed a novel machine learning model to predict obstructive coronary artery disease (CAD), as defined by the coronary artery disease-reporting and data system (CAD-RADS). Methods: This study analyzed 1324 patients from the SCOT-HEART trial who underwent both CTCS and CT angiography. Obstructive CAD was defined as CAD-RADS 4A-5, while CAD-RADS 0–3 were considered non-obstructive CAD. We analyzed clinical, Agatston-score-derived, and epicardial fat-omics features to predict obstructive CAD. The most predictive features were selected using elastic net …

The Common Law Of Constitutional Conventions, David E. Pozen

Faculty Scholarship

Professor Jill Lepore’s Jorde Symposium lecture paints a rich portrait of state constitutional conventions as engines of democratization during the 1800s and issues a dire warning about the United States’ ongoing amendment drought. Citing their unfamiliarity, however, Lepore declines to consider federal constitutional conventions as a possible corrective. In this response Essay, I argue: first, that Lepore’s marginalization of Article V’s convention mechanism is in tension with her own historical and normative account; second, that while Lepore’s wariness of conventions is entirely understandable given the state of our politics — and entirely commonplace among progressives — it carries significant risks …

When Anti-Fraud Laws Become A Barrier To Computer Science Research, Madelyne Xiao, Andrew Sellars, Sarah Scheffler

Faculty Scholarship

Computer science research sometimes brushes with the law, from red-team exercises that probe the boundaries of authentication mechanisms, to AI research processing copyrighted material, to platform research measuring the behavior of algorithms and users. U.S.-based computer security research is no stranger to the Computer Fraud and Abuse Act (CFAA) and the Digital Millennium Copyright Act (DMCA) in a relationship that is still evolving through case law, research practices, changing policies, and legislation

Amid the landscape computer scientists, lawyers, and policymakers have learned to navigate, anti-fraud laws are a surprisingly under-examined challenge for computer science research. Fraud brings separate issues that …

Water Reallocation In The West: Government And Markets, Vanessa Casado Pérez

Faculty Scholarship

Water is multifaceted: it is a human right, a production input, a sacred element, an investment asset, public property, and a fugitive resource. Its reallocation is inherently difficult because of its natural characteristics and its hybrid nature that combines public ownership with private rights. The future of the U.S. West necessitates the reallocation of water resources, even with potential new water supplies. As climate change intensifies, reallocation will take various forms—all involving government intervention to some degree, from eminent domain to competitive markets. For water markets to function effectively, they require robust institutional infrastructure to prevent issues like imperfect information …

Tradeoffs In The Energetic Value Of Neuromodulation In A Closed-Loop Neuromechanical System, Zhuojun Yu, Peter J. Thomas, Hillel J. Chiel

Faculty Scholarship

Rhythmic motor behaviors controlled by neuromechanical systems, consisting of central neural circuitry, biomechanics, and sensory feedback, show efficiency in energy expenditure. The biomechanical elements (e.g., muscles) are modulated by peripheral neuromodulation which may improve their strength and speed properties. However, there are relatively few studies on neuromodulatory control of muscle function and metabolic mechanical efficiency in neuromechanical systems. To investigate the role of neuromodulation on the system's mechanical efficiency, we consider a neuromuscular model of motor patterns for feeding in the marine mollusk Aplysia californica. By incorporating muscle energetics and neuromodulatory effects into the model, we demonstrate tradeoffs in the …

Hierarchical Analysis Of Us Electric Vehicle Subsidies For Carbon Emission Mitigation, Boman Su, Kang Shen, Chris Yuan

Faculty Scholarship

Electric vehicle (EV) adoptions are promoted with subsidies to reduce greenhouse gas emissions from ground transportation. In this paper, a hierarchical analysis is presented on the potential of greenhouse gas emission mitigation via the electric vehicle subsidy policy at state level in the US, through research of environmental and economic fundamentals of electric vehicle operations, energy consumptions, battery degradation and service life. It has been found that restructuring the federal subsidies to promote EV adoption can significantly reduce greenhouse gas emissions across the US. The reduction costs of greenhouse gas emissions vary between $1167.44/ton in Vermont to $6880.13/ton in Wyoming. …

Transient Temperature Measurements In A Ballistic Impact Experiment On A Thermoplastic Composite Material, Alexander I.G. Savadelis, Bryan E. Schmidt

Faculty Scholarship

Dynamic impact tests were conducted on thermoplastic composite laminates over an impact velocity range spanning the penetration velocity threshold, 88% of the penetration velocity, and 34% of the penetration velocity of the test panels. The primary objective was to record temperature increases that could affect the material properties of the composite during an impact event, and if so, provide guidance to predictive models which may account for such temperature rises. Observations from a combination of high-speed visible light photogrammetry coupled with high-speed infrared thermography indicate that it is highly unlikely that the composite reaches the glass transition temperature of 147°C …

A Comparison Of Energy Dispersive Spectroscopy In Transmission Scanning Electron Microscopy With Scanning Transmission Electron Microscopy, Jennifer Carter, Tugce Karakulak, Jeffrey Pigott

Faculty Scholarship

The objective of this work was to explore the capabilities of a field emission gun scanning electron microscope (FEG-SEM) equipped with a transmission scanning electron detector (TSEM) and energy dispersive spectroscopy (EDS) to identify nanoscale chemical heterogeneities in a gas atomization reaction synthesis (GARS) steel sample. The results of this analysis were compared to the same study conducted with scanning transmission electron microscopy (STEM) with EDS mapping. TSEM-EDS was performed using the standard spectral analysis approach, i.e., pixel-by-pixel identification of elements from the spectra, and a new principal component analysis approach to detect regions of similar spectra before identifying elemental …

A Comparison Of Energy Dispersive Spectroscopy In Transmission Scanning Electron Microscopy With Scanning Transmission Electron Microscopy, Jennifer L.W. Carter, Tugce Karakulak Uz, Jeffrey S. Pigott

Faculty Scholarship

The objective of this work was to explore the capabilities of a field emission gun scanning electron microscope (FEG-SEM) equipped with a transmission scanning electron detector (TSEM) and energy dispersive spectroscopy (EDS) to identify nanoscale chemical heterogeneities in a gas atomization reaction synthesis (GARS) steel sample. The results of this analysis were compared to the same study conducted with scanning transmission electron microscopy (STEM) with EDS mapping. TSEM-EDS was performed using the standard spectral analysis approach, i.e., pixel-by-pixel identification of elements from the spectra, and a new principal component analysis approach to detect regions of similar spectra before identifying elemental …

How Are You Doing… Really? A Review Of Whole Person Health Assessments, Kurt C. Stange

Faculty Scholarship

Policy Points A redirection of measurement in health care from a narrow focus on diseases and care processes towards assessing whole person health, as perceived by the person themself, may provide a galvanizing view of how health care can best meet the needs of people and help patients feel heard, seen, and understood by their care team. This review identifies key tensions to navigate as well as four overarching categories of whole person health for consideration in developing an instrument optimized for clinical practice. The categories (body and mind, relationships, living environment and finances, and engagement in daily life) include …