Digital Commons Network^™

Investigating Small Drinking Water System Technical Capacity To Treat For Pfas, Chloe J. Yoder, Kaycie Lane

Department of Civil and Environmental Engineering: Faculty Publications

Per- and polyfluoroalkyl substances (PFAS) presents technical challenges in small systems where advanced drinking water treatment implementation is difficult. Publicly available data were used to examine technical treatment capacity for PFAS in the US, using Nebraska as a pilot. Of 1312 PWSs in Nebraska, 441 have technologies capable of removing PFAS from drinking water. Reverse osmosis was the most common treatment technology in Nebraska with 277 total systems using this technology with, 194 PWSs with RO serving populations of <= 100 people. Fifty-two PWSs had granular activated carbon, 47 had ion exchange and 62 had ultraviolet, with UV being primarily used for disinfection. We found PWSs had different technology deployment methods, several systems had “significant deficiencies” reported in management and operation evaluations, and age and previous water quality violations were not correlated to treatment evaluations. The developed methodology models utilizing publicly available data for contaminants across the US.

Barriers To Mental Health Treatment Among U.S. Army Aviation Personnel, Aric James Raus

Doctoral Dissertations and Projects

Safe and effective Army aviation operations require a clear focus from all involved. Yet, after more than two decades of U.S. combat aviation operations, little is known about the barriers experienced by aviators when considering mental health evaluation and treatment. An extensive literature review found no published studies examining mental health treatment hesitance among Army Aviation personnel or the perceived acceptability of self-help treatment options. This study identifies the relationships between age, gender, and aviation career specialty on the self-disclosed instrumental, attitudinal, and stigma-based barriers to care among U.S. Army aviation personnel. Additionally, the research determines relationships between the population’s …

Modeling Synergistic Effects Of Integrin And Tgf-Beta Signaling In Epithelial Mesenchymal Transition, Prerak Thakkar

Biology and Medicine Through Mathematics Conference

No abstract provided.

Explaining The Staircase Gelb Illusion, Simultaneous Contrast, And Perceptual Fading Of Stabilized Images With A Neural Model Driven By Fixational Eye Movements, Michael E. Rudd

MODVIS Workshop

A neural model of lightness computation driven by fixational eye movements is described and used to simulate various lightness phenomenon, including the Staircase Gelb illusion and its variants, simultaneous contrast, the Chevreul illusion, and perceptual fading of stabilized images. The model provides a precise account of the lightness matches from several experiments, with an overall error of only 1.5%. In the model, spatial maps of transient ON and OFF cell activations—produced as the eyes traverse the visual scene—are sorted by eye movement direction in visual cortex. At a subsequent processing stage, the activations within these maps are summed across space …

A Robust Decision-Making Model For Medical Supplies Via Selecting Appropriate Unmanned Aerial Vehicle, Amira Salam, Mai Mohamed, Rui Yong, Jun Ye

Neutrosophic Systems with Applications

Recently, Unmanned Aerial Vehicles (UAVs) have been used in many fields, including the field of health care, especially in delivering the necessary medical equipment and supplies, due to the many advantages they have compared to other traditional methods and the presence of different types of UAVs, to improve healthcare and provide it with the medical supplies and equipment necessary to save the lives of patients. Choosing the appropriate UAV for a specific situation represents a problem facing decision-makers, which is considered a multi-criteria decision-making problem. Since the decision-making process is cumbersome and complex, and deals with uncertainty and ambiguity. In …

Redesign Of Leg Assembly For Remote Walking Training Device To Improve Gait Kinematics, Jacob Anthony

Mechanical Engineering Theses

As modern medicine has improved, the average age of patients has increased. This has cause a growing number of patients to develop disabilities over time due to spinal cord injuries and stroke among other neurological ailments. This has led to an increased interest in developing robotic exoskeletons to help patients with neuromuscular rehabilitation. However, most exoskeletons do not accurately replicate the natural human gait kinematics due to a lack of degrees of freedom at the designed knee joint. In this thesis, the leg assembly for a robotic rehabilitation (RoboREHAB) device is redesigned to improve the gait kinematics and a reinforcement …

Advancing Simultaneous Extraction And Sequential Single-Particle Icp-Ms Analysis For Metallic Nanoparticle Mixtures In Plant Tissues, Lei Xu, Xingmao Ma, John Yang, Joel G. Burken, Paul Ki-Souk Nam, Honglan Shi, Hu Yang

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

Engineered Nanoparticles (ENPs) Have Been Increasingly Used in Agricultural Operations, leading to an Urgent Need for Robust Methods to Analyze Co-Occurring ENPs in Plant Tissues. in Response, This Study Advanced the Simultaneous Extraction of Coexisting Silver, Cerium Oxide, and Copper Oxide ENPs in Lettuce Shoots and Roots using Macerozyme R-10 and Analyzed Them by Single-Particle Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Additionally, the Standard Stock Suspensions of the ENPs Were Stabilized with Citrate, and the Long-Term Stability (Up to 5 Months) Was Examined for the First Time. the Method Performance Results Displayed Satisfactory Accuracies and Precisions and Achieved Low Particle Concentration …

A Robust Decision-Making Model For Medical Supplies Via Selecting Appropriate Unmanned Aerial Vehicle, Amira Salam, Mai Mohamed, Rui Yong, Jun Ye

Neutrosophic Systems with Applications

Recently, Unmanned Aerial Vehicles (UAVs) have been used in many fields, including the field of health care, especially in delivering the necessary medical equipment and supplies, due to the many advantages they have compared to other traditional methods and the presence of different types of UAVs, to improve healthcare and provide it with the medical supplies and equipment necessary to save the lives of patients. Choosing the appropriate UAV for a specific situation represents a problem facing decision-makers, which is considered a multi-criteria decision-making problem. Since the decision-making process is cumbersome and complex, and deals with uncertainty and ambiguity. In …

Ensuring Resilience Against Stealthy Attacks On Cyber-Physical Systems, Paul Griffioen, Bruce H. Krogh, Bruno Sinopoli

Faculty Work Comprehensive List

This article provides a tool for analyzing mechanisms that aim to achieve resilience against stealthy, or undetectable, attacks on cyber-physical systems. We consider attackers who are able to corrupt all of the inputs and outputs of the system. To counter such attackers, a response scheme must be implemented that keeps the attacker from corrupting the inputs and outputs of the system for certain periods of time. To aid in the design of such a response scheme, our tool provides sufficient lengths for these periods of time in order to ensure safety with a particular probability. We provide an upper bound …

Data-Driven Evaluation Of Deep Generative Models In Biomedical Imaging, Rucha Milind Deshpande

McKelvey School of Engineering Graduate Student Theses & Dissertations

Deep generative models (DGMs) have tremendous potential for several biomedical imaging applications such as data augmentation, image reconstruction, and image denoising. However, the deployment of DGMs in real-world biomedical imaging workflows without domain-relevant evaluations can jeopardize patient health and well-being. The evaluation of DGMs in biomedical imaging is challenging due to several factors: requirement of domain expertise for visual inspection, lack of a mathematically defined ground truth, and the unclear relevance of popular evaluation measures adopted from the computer vision literature. Given these challenges, one way to evaluate DGMs is via purposefully designed synthetic data. In this thesis, two frameworks …

Air Quality Assessment On Local And Hyperlocal Scales, Zhiyao Li

McKelvey School of Engineering Graduate Student Theses & Dissertations

Air quality monitoring across local and hyperlocal scales has attracted increased attention from both the public and research community. There are several approaches such as passive samplers and low-cost air quality sensors, depending on the pollutant and measurement objectives. Local and hyperlocal air pollutant measurements help to characterize local emission sources such as traffic and industry, including separating these signals from large scale influences (e.g., urban and regional scales), and better understand how land use types and meteorology influence pollutant spatiotemporal patterns. Low-cost sensors (LCS) are now a popular approach to monitor several criteria pollutants (e.g., particulate matter (PM), ozone, …

Exploring Applications Of Artificial Intelligence In Water And Wastewater Management Systems, Yanran Xu

McKelvey School of Engineering Graduate Student Theses & Dissertations

Water and wastewater management systems play an essential role in satisfying residential, commercial, and industrial needs, but these systems suffer from undesired issues and high expenses, which stresses the need for sustainable development and system optimization. Modeling simulation is commonly used to optimize system performance through process prediction and precise control, and artificial intelligence (AI) technologies including machine learning (ML) and deep learning (DL) are showing their advantages in the application of water and wastewater management systems. A general framework was illustrated for optimized performance and enhanced explainability of ML models. Several analytical techniques were explored, including feature engineering, data …

Longitudinal Spatial Trends In U.S. Pedestrian And Bicyclist Fatalities, Ossiris Rodriguez, Nicholas N. Ferenchak

Civil Engineering ETDs

Between 2009 and 2022 in the United States (U.S.), pedestrian fatalities increased 82.3% and bicyclist fatalities increased 70.8%. Several studies have researched crash characteristics such as the people and roadways involved in these crashes. But where are these fatalities occurring within our regions and what spatial characteristics of these locations could be influencing this trend? We analyzed pedestrian and bicyclist fatality data from the last two decades using NHTSA’s Fatality Analysis Reporting System (FARS) in relation to built-environment and socio-economic characteristics (such as street network density, transit access, poverty, and educational attainment) obtained from the U.S. Census and the U.S. …

Evaluating The Health Benefits And Cost-Effectiveness Of Dental Sealant Reapplication Among Children And Adolescents, Pritam Deb, Jayden Ayash, Christina Scherrer

Symposium of Student Scholars

Dental caries, commonly known as cavities, persist as a prevalent chronic disease among children. Dental sealants, which are transparent coatings applied to the molars, have been proven to prevent over 80% of caries in these teeth. However, the effectiveness of sealants diminishes over time, primarily due to their potential to detach shortly after application due to inadequate bonding, or else gradually over time. Notably, dental insurance coverage for resealing teeth after the initial sealant has been lost varies widely, with many policies only covering the cost of the initial application. This study employs a Markov model-based discrete event simulation to …

Study On Human Integrity Management System Maturity Level For Supporting Asset Integrity And Process Safety Implementation, Anggiat M. Sihotang, Dedi Priadi, D. Rizal Asral

Journal of Materials Exploration and Findings

The human factors (HF) are recognized as one of critical process safety barriers involved in normal and abnormal conditions in the oil and gas industry. In order to strengthen the HF roles as barriers we need to ensure that the actions generated are based on a valid risk assessment of the operation to be addressed by a relevant human factor analysis. Organizations within the oil and gas process have made much progress in understanding and implementing HF improvement programs. However, organizations are not always clear about what are their current situations in managing HF, their priorities for HF to be …

Ofet Informatics: Observing The Impact Of Organic Transistor's Design Parameters On The Device Output Performance Using A Machine Learning Algorithm, Sameh O. Abdellatif, Hana Masalam, Salma Ahmed

Electrical Engineering

No abstract provided.

05.13.2024 Orsp Connect, Liz Williamson

ORED Newsletter

Distinguished Research and Creative Achievement Award, Center for Practical Ethics, DARPA Connect, Air Force Internship

Localized Sustained Release Of Copper Enhances Antitumor Effects Of Disulfiram In Head And Neck Cancer, Juan Wang, Boxuan Li, Remy C. Cooper, Da Huang, Hu Yang

Chemical and Biochemical Engineering Faculty Research & Creative Works

Drug Repurposing Uses Approved Drugs as Candidate Anticancer Therapeutics, Harnesses Previous Research and Development Efforts, and Benefits from Available Clinically Suitable Formulations and Evidence of Patient Tolerability. in This Work, the Drug Used Clinically to Treat Chronic Alcoholism, Disulfiram (DSF), Was Studied for its Antitumor Efficacy in a Copper-Dependent Manner. the Combination of DSF and Copper Could Achieve a Tumor Cell Growth Inhibition Effect Comparable to Those of 5-Fluorouracil and Taxol on Head and Neck Cancer Cells. Both Bulk Dendrimer Hydrogel and Microsized Dendrimer Hydrogel Particles Were Utilized for the Localized Sustained Release of Copper in the Tumor Site. the …

Data-Driven Insights Into Spatial Patterns And Disease Etiologies Of White Matter Hyperintensities, Sugandha Roy

McKelvey School of Engineering Graduate Student Theses & Dissertations

In this thesis, we have applied Orthogonal Projective Non-Negative Matrix Factorization (opNMF) to identify spatial patterns of white matter hyperintensities (WMH) within UK Biobank's imaging data. Our selection criteria excluded subjects with a history of neurological, mental, and specific cerebrovascular conditions, allowing us to focus on WMH patterns in a healthy aging population. We have interrogated the association of location-specific WMHs with a variety of demographic, clinical, and genetic factors. Our multivariable regression analysis evaluates the strength and nature of the associations between these factors and WMH distribution. The analysis integrates variables such as age, sex, smoking habits, medication usage …

Fate, Composition And Formation Of Unknown N-Nitrosamines In Wastewater And Wastewater-Impacted Waters, Changcheng Pu

Dissertations - ALL

N-Nitrosamines form as byproducts during oxidative water treatment or occur as impurities in consumer and industrial products. N-Nitrosamines and their precursors pose significant concerns for water utilities exploiting wastewater-impacted water supplies, as many N-nitrosamines are potential human carcinogens and have genotoxicity. To date, research on N-nitrosamines in environmental engineering has primarily focused on the occurrence, sources, formation, and control of N-nitrosodimethylamine (NDMA) in the broad context of drinking water and wastewater treatment. However, NDMA and the few other N-nitrosamines of current interest only constitute a fraction of the larger pool of total N-nitrosamines (TONO) in source waters and wastewater, while …

Past And Future Predictions Of Climate Change And Urbanization Effects On The Carbon, Nitrogen, And Water Dynamics In Northeastern Forest Ecosystems, Linghui Meng

Dissertations - ALL

Human activities have significantly influenced the structure and function of forest ecosystems in the northeastern US. Urbanization directly reduces forest area and alters forest functions. Forest growth, health, and function can also be affected by climate change, atmospheric carbon dioxide (CO2) concentrations, and air pollution including ground-level ozone (O3) and atmospheric nitrogen (N) deposition. Critical questions for research and environmental management are: How will urbanization, climate change, and air pollution interact to influence the function of forest ecosystems, and how will changes in these environmental drivers alter the function of forests in the future? In this dissertation, I simulate the …

Homomeric Tight Junction Strand Assembly Of Claudin Proteins, Patrick Matthew Marsch

Dissertations - ALL

Tight junctions, a form of cell junction, are utilized throughout the animal kingdom in one way or another. Tasked with facilitating a critical blockade between toxins and vital tissues while also allowing small crucial molecules to pass, the tight junction provides an important line of defense against disease. To build this barrier, various proteins with self-assemble within a cell membrane to then zipper with another cell membrane. The strand-like architecture and size & charge selective pore channels created within the barrier are chiefly governed by the claudin family of proteins. Without claudins present, the tight junction cannot form, and toxic …

Engineering The Signal Resolution Of A Paper-Based Cell-Free Glutamine Biosensor With Genetic Engineering, Metabolic Engineering, And Process Optimization, Tyler J. Free, Joseph P. Talley, Chad D. Hyer, Catherine J. Millar, Joel S. Griffitts, Bradley Charles Bundy

Faculty Publications

Specialized cancer treatments have the potential to exploit glutamine dependence to increase patient survival rates. Glutamine diagnostics capable of tracking a patient’s response to treatment would enable a personalized treatment dosage to optimize the tradeoff between treatment success and dangerous side effects. Current clinical glutamine testing requires sophisticated and expensive lab-based tests, which are not broadly available on a frequent, individualized basis. To address the need for a low-cost, portable glutamine diagnostic, this work engineers a cell-free glutamine biosensor to overcome assay background and signal-to-noise limitations evident in previously reported studies. The findings from this work culminate in the development …

Spectral Characterization Of High-Speed Sers Fluctuations, Makayla Schmidt, Emily A. Farley, Marit A. Engevik, Alexandre G. Brolo, Nathan Lemke, Nathan Lindquist

Science Symposium

The concept of plasmonic “hotspots” is central to the broad field of nanophotonics. In surface-enhanced Raman scattering (SERS), hotspots can increase Raman scattering efficiency by orders of magnitude. Hotspot dimensions may range from a few nanometers down to the atomic scale and are able to generate SERS signals from single molecules. However, these single-molecule SERS signals often show significant fluctuations, and the concept of intense, localized, yet static hotspots has come into question. Recent experiments have shown these SERS intensity fluctuations (SIFs) to occur over an extremely wide range of timescales, from seconds to micro-seconds, due to the various physical …

Effect Of Recommending Users And Opinions On The Network Connectivity And Idea Generation Process, Sriniwas Pandey, Hiroki Sayama

Northeast Journal of Complex Systems (NEJCS)

The growing reliance on online services underscores the crucial role of recommendation systems, especially on social media platforms seeking increased user engagement. This study investigates how recommendation systems influence the impact of personal behavioral traits on social network dynamics. It explores the interplay between homophily, users’ openness to novel ideas, and recommendation-driven exposure to new opinions. Additionally, the research examines the impact of recommendation systems on the diversity of newly generated ideas, shedding light on the challenges and opportunities in designing effective systems that balance the exploration of new ideas with the risk of reinforcing biases or filtering valuable, unconventional …

Beyond The Horizon: Exploring Anomaly Detection Potentials With Federated Learning And Hybrid Transformers In Spacecraft Telemetry, Juan Rodriguez

Computer Science and Engineering Theses and Dissertations

Telemetry sensors play a crucial role in spacecraft operations, providing essential data on efficiency, sustainability, and safety. However, identifying irregularities in telemetry data can be a time-consuming process that risks the success of missions. With the rise of CubeSats and smallsats, telemetry data has become more abundant, but concerns about privacy and scalability have resulted in untapped data potential. To address these issues, we propose a new approach to anomaly detection that utilizes machine learning models at data sources. These models solely transmit weights to a centralized server for aggregation, resulting in improved dataset performance with a single global model. …

Intelligent Resource Allocation For Sdn/Nfv-Enabled Networks Through Reinforcement Learning, Jing Su

Computer Science and Engineering Theses and Dissertations

Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) are two emerging paradigms that enable the feasible and scalable deployment of Virtual Network Functions (VNFs) in commercial-off-the-shelf (COTS) devices, which deliver a range of network services with reduced cost. The deployment of these services requires efficient resource allocation that fulfills the requirements in terms of Quality of Service (QoS) and Service-Level Agreement (SLA) while considering the constraints of the underlying infrastructure, such as maximum latency tolerance and affinity policies.

An optimized resource allocation result can benefit the network in various aspects, such as energy-saving, performance boost, and latency reduction. To achieve …

Co-Designing Situated Displays For Family Co-Regulation With Adhd Children, Lucas M. Silva, Franceli L. Cibrian, Clarisse Bonang, Arpita Bhattacharya, Aehong Min, Elissa M. Monteiro, Jesus A. Beltran, Sabrina E. B. Schuck, Kimberley D. Lakes, Gillian R. Hayes, Daniel A. Epstein

Engineering Faculty Articles and Research

Family informatics often uses shared data dashboards to promote awareness of each other’s health-related behaviors. However, these interfaces often stop short of providing families with needed guidance around how to improve family functioning and health behaviors. We consider the needs of family co-regulation with ADHD children to understand how in-home displays can support family well-being. We conducted three co-design sessions with each of eight families with ADHD children who had used a smartwatch for self-tracking. Results indicate that situated displays could nudge families to jointly use their data for learning and skill-building. Accommodating individual needs and preferences when family members …

The Effects Of Additive Manufacturing On Canine Hind Limb Repairment Surgery, Annabel Keers

Honors Theses

The intention of this project is to explore some of the ways that additive manufacturing is affecting veterinary medicine. I will specifically be delving into canine hind limb repairment surgeries, such as cranial cruciate ligament reconstruction. 3D printed prototypes have been utilized in the human medical field for quite a while, and it has inspired such technology to expand into the world of veterinary medicine. Such emerging research is expected to take-off as the pet market grows in size and level of care for the health of our animals.

I took special interest in this field as I will be …

Design And Analysis Of Passive Correlator Radio-Frequency Identification Tagging, Albert Kilgore

McKelvey School of Engineering Graduate Student Theses & Dissertations

Radio Frequency Identification (RFID) is a technology used in many industries to locate and track assets. Passive RFID tags are popular because they are inexpensive and flexible, but they have limited accuracy. My thesis aims to improve the accuracy of passive RFID tags by investigating two solutions: (a) Using orthogonal RFID configuration and exploiting phase information available to an RFID reader, in addition to the received signal strength indicator (RSSI) metric; and (b) Designing a novel voltage multiplier-based correlator circuit that can be integrated directly onto the tag. To further reduce power consumption and silicon area, we propose an architecture …