Digital Commons Network^™

Enhancing Urban Sustainability: A Study On Lightweight And Pervious Concrete Incorporating Recycled Plastic, S. Sathvik, Pathapati Rohithkumar, Pshtiwan Shakor, Shahaji

Open Access archive

Increasing of plastic waste threatening ecosystems globally, this experimental work investigates recycled plastics as sustainable aggregate replacements in pervious concrete. Pervious concrete allows water passage but has installation/maintenance difficulty due to high weight. This research addresses the lack of eco-friendly lightweight pervious solutions by assessing physical and mechanical performance of mixes with 100% recycled plastic and traditional aggregate percentages. Density reduced 12% using a 100% plastic aggregate mix, achieving 1358 kg/m³ with compressive strength of 3.92 MPa, adequate for non-structural applications. A 7.8% decrease in water absorption versus conventional pervious concrete signifies retained porosity and permeability despite the plastic …

Optical, Thermal, And Structural Properties Of Er3+ Incorporated Double Perovskite Ca2mgwo6 Phosphors, Kiran R, Princy A, S. Masilla Moses Kennedy, M. I. Sayyed

Open Access archive

Novel Ca2MgWO6 phosphors doped with xEr³⁺ (x = 0.5, 1, 2, 3, and 4 mol%) were synthesized using the solid-state reaction method. Using XRD and FTIR analyses, successful product formation was confirmed. Subsequently, the phosphor was optimized by focusing on the characteristic emission peak at 529 nm, arising from the transition ²H11/2 → ⁴I15/2. The optimal concentration of Er³⁺ for the given host system was determined to be 2 mol%. Meticulous analyses revealed that the optimized phosphor possessed a direct optical band gap of 3.68 eV and the bonding parameter confirmed that the nature of bonding was …

An Assessment Of Workability, Mechanical And Durability Properties Of High-Strength Concrete Incorporating Nano-Silica And Recycled E-Waste Materials, Pawan Hinge, Tushar Shende, Rahul Ralegaonkar, Bhupesh Nandurkar

Open Access archive

Background: Presently, the proper disposal of E-waste is a major challenge for all nations. Portland cement and aggregates continue to play a major role in the construction industry's operations. Meanwhile, natural resources like gravel (aggregates) are becoming scarce. Thus, E-waste is now offering the building industry a chance to replace traditional aggregates. The main goal of the current study is to determine the highest amount of E-waste that may be replaced with 10-mm coarse aggregates with a nano-silica associated ternary blend in M-60 grade high-strength concrete while still maintaining the designed concrete's mechanical, durability, microstructural and workability characteristics. Results: When …

Feasibility Study On Microwave Glucose Level Monitoring, Ricardo Cepeda

Theses and Dissertations

Diabetes management heavily relies on regular blood glucose monitoring, which traditionally involves invasive techniques. In recent years, significant research has been directed towards developing non-invasive glucose monitoring methods, particularly using electromagnetic waves. This study explores the feasibility of detecting blood glucose levels non-invasively by measuring the resonant frequency shifts of an antenna, influenced by the dielectric properties of blood. Microwave measurement techniques have garnered attention due to their ability to safely penetrate human tissue and detect biochemical markers like glucose. While previous studies have established a link between glucose concentration and dielectric properties, many techniques suffer from poor sensitivity or …

Tanzania Design Build 2024, Elli S. Berger, Samantha M. Maher, Victoria J. Maestas

Architectural Engineering

In 2007 David Lambert, a Cal Poly ARCE alumnus, was inspired to build a school in Tanzania after spending time in Kenya completing his senior project. With the support of multiple Cal Poly faculty members, he assembled a team to launch what would become his master’s program project. Since no existing organizations could support their efforts, the team founded their own initiative, the Mbeses Initiative for Sustainable Design (MISD). The Cal Poly team shared their design ideas with multiple volunteer groups in Tanzania and eventually connected with Fr. Setonga who helped the initiative gain traction. A few years later, the …

Analyzing Tms 402 -22 : Design Of Special Reinforced Masonry Shear Walls, Tristan D. Aranda

Architectural Engineering

This experiment examines possible inconsistencies in the TMS 402-22 masonry code between Section 7.3.2.5 and Section 9.3.5.6.2, regarding the requirements for special boundary elements in Special Reinforced Masonry Shear Walls. By investigating the two sections, it can be determined whether the two sections are in accordance with each other regarding aspect ratio. Tensile forces and strains are calculated respectively for each wall and block type and are compared to the respective tensile yield forces and ductile strains. This determines which respective boundary elements go past yield and become ductile. Based on this determination, recommendations can be made to the …

Universal Shape Replication Via Self-Assembly With Signal-Passing Tiles, Andrew Alseth, Daniel Hader, Matthew J. Patitz

Computer Science and Computer Engineering Faculty Publications and Presentations

In this paper, we investigate shape-assembling power of a tile-based model of self-assembly called the Signal-Passing Tile Assembly Model (STAM). In this model, the glues that bind tiles together can be turned on and off by the binding actions of other glues via “signals”. Specifically, the problem we investigate is “shape replication” wherein, given a set of input assemblies of arbitrary shape, a system must construct an arbitrary number of assemblies with the same shapes and, with the exception of size-bounded junk assemblies that result from the process, no others. We provide the first fully universal shape replication result, namely …

Enhancing Webtas: From An Atam Simulator To A Developmental Environment, Elizabeth G. Schmidt

Electrical Engineering and Computer Science Undergraduate Honors Theses

As interest in a niche research area, like the abstract Tile Assembly Model (aTAM), grows it is crucial to ensure that simulation tools are accessible and user-friendly for a broad audience. Existing resources can pose challenges for less experienced users, highlighting the need for enhancements that improve usability and functionality. To address these issues, key upgrades to the current online simulation platform, WebTAS, were implemented, including breakpoint functionality and nondeterminism checks, alongside features such as XML file integration, image capturing, and simulation view resets. These enhancements collectively elevate the platform from a basic learning tool to a comprehensive environment for …

Leveraging P4 Programmable-Hardware Switches For In-Network Pmu Packet Recovery, Evan Michael Bonar

Electrical Engineering and Computer Science Undergraduate Honors Theses

Phasor Measurement Unit (PMU) systems are essential for real-time power grid monitor- ing but often face data loss due to network delays, equipment malfunctions, or transmis- sion errors. Traditional centralized recovery solutions introduce significant latency and scalability challenges. This thesis presents a P4-based in-network recovery mechanism that embeds detection and recovery directly into the data plane of P4-enabled programmable switches, significantly reducing recovery time and infrastructure complexity. Using the Aurora 610 switch, the system detects missing packets via sequence number analysis and recovers magnitudes with an efficient register-based algorithm.

Evaluation demonstrates high accuracy and low latency, achieving a mean absolute …

21st Century Community Learning Centers: Program Evaluation Evidence From Texas, Rosilyn Jackson

Electronic Theses and Dissertations

Texas afterschool programs strive to enhance academic performance and meet students' needs, yet gaps in program quality persist. This study evaluated 21st Century Community Learning Centers’ performance in reading, math, GPA, attendance, in-school suspension, and engagement, both within these categories and against program goals and demographics. Theoretical frameworks used in this study include the logic model, social justice theory, and cultural relevance theory. This quantitative study utilized a nonexperimental and secondary data research design which utilized five statistical tests: the Pearson Product-Moment Correlation, One-Way repeated ANOVA, Spearman Correlation, the Independent Samples t-Test, and the Mann-Whitney U Test. Results showed that …

Bioindicators Of Mercury In Riverine Systems, Kathryn Mudica

All-Inclusive List of Electronic Theses and Dissertations

This study focuses on the bioaccumulation and biomagnification of mercury in freshwater food webs, with emphasis on bioindicators, such as macroinvertebrates, crayfish, and river otters. Despite regulatory efforts and advancements in monitoring, significant gaps remain in understanding mercury dynamics in freshwater systems—especially regarding its transport, methylation, and bioavailability across different ecosystems. To address these knowledge gaps, this study adopts a biocentric approach, emphasizing the role of living organisms in their environment. By utilizing macroinvertebrates, crayfish, and river otters as bioindicators, we aim to assess mercury bioavailability and distribution. These organisms provide varying temporal and spatial scales of mercury accumulation, offering …

An Exploration Of Adverse Childhood Experiences In K-12 Teachers, Michelle E. Marciniak

Doctorate in Education

“Trauma during childhood has the potential to adversely affect one’s physical, cognitive, emotional, and social development across the lifespan” (Champine et al., 2021). Given the epidemic of trauma across the United States, it is statistically probable that teachers who serve in the trenches to provide safe, engaging, and nurturing environments for students are still suffering from the impacts of Adverse Childhood Experiences (Dunn, 2022). This qualitative grounded theory study sought to capture and highlight the experiences of 12 K-12 teachers who have experienced past childhood trauma and shed light on their experiences in the classroom day to day. Participants were …

Assessing Reproducibility Challenges In Clinical Metabolics, Darcy Lin Cochran

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Current metabolomics research is expanding to be multiplatform and interdisciplinary. Metabolomic analysis has the potential to provide detailed insight into any biological system of interest to analyze the underlying molecular mechanisms of variables like environment, disease, and genetics. Human clinical metabolomics is a major research area that is often focused on finding biomarkers or panels of biomarkers for different diseases. However, results are difficult to compare across different laboratories since the field of metabolomics has yet to widely adopt best practices for sample preparation, data acquisition and data processing, results are difficult to compare across different laboratories.

This thesis focuses …

Controller Software: Evolution, Identification, And Implementation, Balaji Balasubramaniam

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

In the annals of automation history and advancement, one can find control technology is at the core. Modern-day controllers rely heavily on software capability to provide stability and improve the system's performance. In particular, drone flight controllers use autopilot control software to accomplish autonomous navigation from take-off to landing. However, we know very little about how the controller code modifications and its impact, particularly at the software level. No general framework has been developed to identify the control code changes and observe the real values of software control loops at the kernel layer.

In this thesis, we lay the foundation …

Mining Work Items To Streamline Software Maintenance Tasks, Salomé Perez-Rosero

Dissertations and Doctoral Documents, University of Nebraska-Lincoln, 2023–

Software engineering maintenance tasks often require associating code changes into groupings of related units of work to have as much information as possible about the developments toward addressing a specific code task. A comprehensive understanding of how a code task has evolved helps developers make better decisions about changes in the overall codebase, where a commit represents the set of code changes made to the codebase at a specific time. While the concept of work items as logically related code changes has been primarily theoretical, its impact on software maintenance tasks, such as tracing the origins of bugs or fixes …

Social Patterns In Physical Infrastructure: Associations Between Socioeconomic Status And Walkability, Kaylee Coursey

Honors Theses

Studies analyzing the relationship between socioeconomic status and physical infrastructure of a city are inconsistent in findings but agree on racial and class disparities. Utilizing walkability (Walk Score) as a measurement for physical infrastructure, this thesis aims to understand the relationship between socioeconomic status and the walkability of a city. The Socio-Ecological framework suggests that environmental experiences are correlated with the social functioning of a community. Thus, socioeconomic status has a significant impact on the quality of one’s built environment.

Using housing data from the 2021 American Community Survey (ACS) and Walk Score, a series of quantitative analyses were conducted …

Neodymium Doped Zinc Oxide Based Advanced Flexible Piezoelectric Energy Harvester And Self-Powered Biomotion Sensor, Muhtasim Ul Karim Sadaf, Abu Musa Abdullah, Haimanti Majumder, Sk Shamim Hasan Abir, Mariana Torres, Karen Lozano, Md. Wasikur Rahman, M. Jasim Uddin

Mechanical Engineering Faculty Publications

Flexible piezoelectric devices have garnered a lot of attention for their potential as energy harvesters and transducers. In this work, Neodymium (Nd) doped Zinc Oxide (ZnO) based flexible piezoelectric energy harvester and sensory device has been developed. Nd-doped ZnO has been synthesized using wet chemical co-precipitation and incorporated in Polyvinylidene Difluoride (PVDF) polymer matrix along with Multiwalled Carbon Nanotubes (MWCNT) to produce flexible piezoelectric films. The piezoelectric output of the device is tested at variable tapping frequency (60 to 240 BPM) and pressure (10 to 40 psi). The device has also been tested with conventional electronics like bridge rectifiers, capacitors, …

Exploring The Pathway Of Far-Right Radicalization In The Age Of Neoliberalism, Biko Koenig

Kroc IPJ Research and Resources

This paper examines the complex relationship between young white men and the rise of far-right extremism in contemporary American politics, particularly in the context of the MAGA movement and its implications for political violence. The January 6th riot serves as a stark example of how mainstream political affiliations can rapidly devolve into radicalization, as evidenced by the profiles of participants who often lacked formal ties to extremist groups yet shared a commitment to conspiracy-laden narratives and grievances. By framing these shifts within the broader socio-economic landscape marked by neoliberal decay, I explore how feelings of inequality, alienation, and powerlessness serve …

The New Frontier Of Guidance Reviewability, Tomás Rios

Michigan Law Review

In the administrative context, agency actions must be “final” to trigger judicial review. The Supreme Court’s opinions in Sackett v. Environmental Protection Agency and U.S. Army Corps of Engineers v. Hawkes Co. marked an important shift in finality doctrine by emphasizing that the calculus of whether agency guidance is “final” may turn on its practical effects. For decades, agency guidance rarely warranted judicial review because it is not legally binding and, thus, not final. But the advent of the Sackett-Hawkes pragmatic analysis has changed the landscape, raising particular concerns for agencies relying on promulgating guidance documents to “softly” regulate. This …

Supervised Generative Adversarial Networks For Time Series Generation In Embedding Space, Mohammadreza Eskandarinasab

All Graduate Theses and Dissertations, Fall 2023 to Present

Time series data, such as weather forecasts, stock market trends, or heart rate monitors, plays a vital role in many areas of our lives. However, creating realistic synthetic time series data for research and testing purposes has been a significant challenge due to limitations in existing methods, which often struggle with accuracy and consistency. In this study, we developed two new approaches to generate high-quality time series data more effectively. The first method introduces a dual-feedback system that helps the model learn and replicate real data patterns more accurately by providing guidance at different stages of the learning process. The …

Application Of Prompt Engineering Technologies Toward Seamless Cybersecurity Breaches Response Process, Young B. Choi

KAUPA Letters

In the rapidly evolving landscape of Cybersecurity, the detection and response to breaches is a critical challenge. Prompt engineering, a technique in natural language processing (NLP), has emerged as a transformative technology with the potential to enhance cybersecurity measures. This paper explores the application of prompt engineering in the context of cybersecurity, focusing on its role in the responding process to breaches using GPT-4o capabilities. We will examine how prompt engineering can improve threat intelligence, automate incident response, and augment human decision-making processes.

Kaupa Letters: Volume 12, Issue 2, Korean American University Professors Association

KAUPA Letters

No abstract provided.

Economical Acquisition Of Intersection Data To Facilitate Cav Operations Phase Ii – Implementation, Manish Gowda, Walt Fehr, Andrew Balmos, Richard Ajagu, David Hong, James Krogmeier, Montasir Abbas, Samuel Labi

Center for Connected and Automated Transportation

Cost-effective collection and distribution of intersection data are needed to facilitate traffic operations at intersections in the HDV era and particularly, in the prospective era of CAVs. Existing methods are time consuming and costly. Phase I of this research (executed under CCAT Project Nr. 71) developed a cost-effective intersection data collection and distribution device for this purpose. In Phase II of this research, the device prototype was bench tested in Lansing and field tested at Owosso. It was confirmed that the device successfully facilitates SPaT and MAP data collection and dissimulation to mobile devices. These deployments provided evidence that the …

Cutting Mechanisms And Control Systems Required For Precision Cutting With An Autonomous Lettuce Harvester, Aidan V. Fischer

Master's Theses

43% of California’s vast land is consumed for agricultural production to feed the United States and other nations Lettuce production alone brought in over $3 billion in 2022 in California. Most of the lettuce today is still harvested by hand using large groups of seasonal laborers; however, this has become increasingly difficult with an immigrant labor shortage. The objective of this study was to design a low-cost autonomous lettuce harvester prototype and evaluate the performance of the harvester capable of harvesting romaine lettuce preciously on a raised bed.

The harvester is equipped with an electrohydraulic control system that is used …

Understanding Ai Literacy: Implications For Practice, Sara Westall, Janet Anderson, Devon Olson

Librarian Publications

A presentation developed for the fall 2024 University of North Dakota School of Medicine and Health Sciences Medical Curriculum Advance, exploring the connections between information literacy, artificial intelligence literacy, and algorithmic literacy and their relevance to health education from the perspective of research and instruction librarians.

Geochemical Evidence Of Drying During The 4.2 Ka Event In Sediment Cores From The Yucatán Peninsula, Mexico, Derek K. Gibson, Jonathan Obrist-Farner, Alex Correa-Metrio, Alejandra Rodriguez-Abaunza, Carlos Castañeda-Posadas

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Tropical hydroclimate variability during the Middle and Late Holocene was investigated using geochemical indicators of local-scale precipitation and evaporation preserved in sediment cores from two sites in the Mexican Yucatán Peninsula. Scanning X-Ray fluorescence spectroscopy data show generally decreasing precipitation trends during the Early and Middle Holocene. During the transition between the Middle and Late Holocene, geochemical evidence of reduced watershed erosion and increased evaporation indicate that a centennial-scale drying event impacted the region between 4.3 and 4.0 ka (kilo-anum; thousand years before present). These findings suggest that the 4.2 ka drying event, which has been previously recorded in Europe, …

Decoding Emotions: Unveiling Facial Expressions Through Acoustic Sensing With Contrastive Attention, Guangjing Wang, Juexing Wang, Ce Zhou, Weikang Ding, Huacheng Zeng, Tianxing Li, Qiben Yan

Computer Science Faculty Research & Creative Works

Expression recognition holds great promise for applications such as content recommendation and mental healthcare by accurately detecting users’ emotional states. Traditional methods often rely on cameras or wearable sensors, which raise privacy concerns and add extra device burdens. In addition, existing acoustic-based methods struggle to maintain satisfactory performance when there is a distribution shift between the training dataset and the inference dataset. In this paper, we introduce FacER+, an active acoustic facial expression recognition system, which eliminates the requirement for external microphone arrays. FacER+ extracts facial expression features by analyzing the echoes of near-ultrasound signals emitted between the 3D facial …

Adan: Adaptive Nesterov Momentum Algorithm For Faster Optimizing Deep Models, Xingyu Xie, Pan Zhou, Huan Li, Zhouchen Lin, Shuicheng Yan

Research Collection School Of Computing and Information Systems

In deep learning, different kinds of deep networks typically need different optimizers, which have to be chosen after multiple trials, making the training process inefficient. To relieve this issue and consistently improve the model training speed across deep networks, we propose the ADAptive Nesterov momentum algorithm, Adan for short. Adan first reformulates the vanilla Nesterov acceleration to develop a new Nesterov momentum estimation (NME) method, which avoids the extra overhead of computing gradient at the extrapolation point. Then Adan adopts NME to estimate the gradient's first- and second-order moments in adaptive gradient algorithms for convergence acceleration. Besides, we prove that …

Flexfl: Heterogeneous Federated Learning Via Apoz-Guided Flexible Pruning In Uncertain Scenarios, Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen

Research Collection School Of Computing and Information Systems

Along with the increasing popularity of Deep Learning (DL) techniques, more and more Artificial Intelligence of Things (AIoT) systems are adopting federated learning (FL) to enable privacy-aware collaborative learning among AIoT devices. However, due to the inherent data and device heterogeneity issues, existing FL-based AIoT systems suffer from the model selection problem. Although various heterogeneous FL methods have been investigated to enable collaborative training among heterogeneous models, there is still a lack of i) wise heterogeneous model generation methods for devices, ii) consideration of uncertain factors, and iii) performance guarantee for large models, thus strongly limiting the overall FL performance. …

Converting Vocal Performances Into Sheet Music Leveraging Large Language Models, Jinjing Jiang, Nicole Teo, Haibo Pen, Seng-Beng Ho, Zhaoxia Wang

Research Collection School Of Computing and Information Systems

Advanced natural language processing (NLP) models are increasingly applied in music composition and performance, particularly for generating vocal melodies and simulating singing voices. While NLP techniques have been effective in analyzing vocal performance data to assess quality and style, the automatic transcription of vocal performances into sheet music remains a significant challenge. Manual transcription tools often fall short due to the intricate dynamics of vocal expression. This study tackles the automation of vocal performance transcription into sheet music using innovative techniques, including large language models (LLMs). We propose a method to translate vocal audio input into display-ready sheet music effectively. …