Physical Sciences and Mathematics Commons^™

Growth Mindset In The Mathematics Classroom: Studying The Effects Of A Growth Mindset Intervention On High School Students In A Geometry Classroom, Katelyn Strauss

Mathematics Graduate Theses

Having a growth mindset is crucial to being successful in a mathematics classroom. However, many students believe themselves to be either “mathematics people” or “not mathematics people”. When students believe they are not a mathematics person, they are far less likely to engage in material where they face struggles, and thus they miss out on valuable learning. A review of the literature has show that students have been able to shift their mindset from fixed to growth through a series of interventions. I used a unit in Geometry to see how a growth mindset intervention would affect the mindset of …

Characterizing Meteorological Patterns For Oregon's Winter Elevated Pm2.5 Concentrations From 2000-2023, Arielle Golda Sherbak

Dissertations and Theses

Valleys and basins are uniquely susceptible to the buildup of air pollution during the wintertime due to cool, dense air pooling under favorable meteorological conditions, a common occurrence in the Intermountain West. In Oregon, wintertime anthropogenic air pollution is primarily from woodburning stoves and heaters and although efforts have been made to reduce wintertime pollution, stagnation events continue to result in decreased air quality. This analysis aims to understand the relationship between air pollution in six Oregon counties and the associated meteorology in the cool season (November-March) using a 2000-2023 climatology.

This is completed through a composite analysis using key …

A Multidecadal Analysis Of Groundwater Level And Streamflow Decline In Southern Forest Catchments, Western Australia, Richard J. George, Rose-Anne Bell, W. Lachlan Mccaw, Gregory Paul Raper

Natural Resources Research Articles

Previous analysis of hydrological data in the eucalypt dominated forests of Western Australia’s Darling Ranges show that reduced winter rainfall over the last 50 years has lowered groundwater levels and diminished streamflow by up to 70%. Consequently, climate-independent reverse osmosis seawater desalination and groundwater resources now supply Perth and nearby regional areas, as runoff from forested catchments is no longer sufficient or reliable. In the high rainfall (~1200 mm/yr) mixed forest areas dominated by Eucalyptus diversicolor (karri) and Eucalyptus marginata (jarrah) 200 km to the south of Perth (the ‘Southern Forest’), similar analysis of climate impacts on watertables has not …

2025 October 2 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Phosphate Removal And Recovery From Aqueous Solutions Using Iron-Coated Steel Slag, Siavash Ebrahimzadeh, Guanghui Hua, Christopher Schmit

Civil and Environmental Engineering Faculty and Student Publications

Phosphate pollution from human activities significantly contributes to the eutrophication of aquatic ecosystems. Additionally, phosphorus is a finite, irreplaceable resource, making its management and recovery critical. This study explores the use of iron-coated steel slag (ICS) as a cost-effective material for phosphate removal and recovery from water. Ferric chloride was used to coat electric arc furnace slag via oven drying under various conditions. Batch adsorption tests evaluated phosphate adsorption, and the optimum coating conditions were identified as 0.5–1 mm slag, 0.5 M FeCl₃, and coating pH 1. The effect of solution pH and coexisting ions on phosphate removal were also …

Dcrda: Deadline-Constrained Function Scheduling In Serverless-Cloud Platform, Priyanka Ashok Birajdar, Divya Meena, Anurag Satpathy, Sourav Kanti Addya

Computer Science Faculty Research & Creative Works

The serverless computing model frees developers from operational and management tasks, allowing them to focus solely on business logic. This paper addresses the computationally challenging function-container-virtual machine (VM) scheduling problem, especially under stringent deadline constraints. We propose a two-stage holistic scheduling framework called DCRDA targeting deadline-constrained function scheduling. In the first stage, the function-to-container scheduling is modeled as a one-to-one matching game and solved using the classical Deferred Acceptance Algorithm (DAA). The second stage addresses the container-to-VM assignment, modeled as a many-to-one matching problem, and solved using a variant of the DAA, the Revised-Deferred Acceptance Algorithm (RDA), to account for …

Cellcounter: An Automated Cell Counting Tool For Faster Research Analysis, Marion Office, Avi Patel, Christopher Carlile, Beau Miller, Rizwan Khan

Expo Student Presentations

2025 Fall Expo Poster Presentation

• Physical & Applied Sciences

Fisheries Research Report No. 354: Recreational Fishing For Abalone In Western Australia In 2024/2025 - Estimates Of Participation, Effort And Catch, Claire B. Smallwood, Karina L. Ryan, Lachlan W. Strain

Fisheries Research Reports

The Western Australian Recreational Abalone Fishery (RAF) operates in shallow coastal waters as a hand collection fishery while wading or diving. Three species of abalone are allowed to be caught. Roe’s abalone (Haliotis roei) are generally collected while wading from the shore in accessible nearshore reef complexes along the West and South Coast Bioregions. Greenlip abalone (H. laevigata) and Brownlip abalone (H. conicopora) are collected while wading (including snorkelling and freediving) and diving (using compressed air) predominantly along the South Coast Bioregion.

Recreational fishing for the three abalone species is licensed and highly regulated, especially in the Western Zone (which …

Review Of How To Win Environmental Victories, By Richard S. Groover, Phd, Shalini Upadhyaya

Virginia Journal of Science

Book Review:

Groover, Richard S. 2025. How to Win Environmental Victories. Nighthawk Publication, 116 pp.

Engr 597: Special Projects In Engineering Science - Data Analytics, Ali Behnood Ph.D., P.E., M., Asce

GMAS Course Syllabi

No abstract provided.

The Complexity Of Long-Distance Dependencies And Their Impact On Language Models, Abhijit Shrikant Mahalunkar

Doctoral

Sequential data modeling is an important challenge in various fields and in particular in natural language processing. Building effective sequential models faces a notable challenge in the form of Long-Distance Dependencies (LDDs) within the sequence data. Hence, successfully overcoming this challenge is imperative for developing robust and accurate sequential models across various domains and applications. To tackle this challenge, the first step is to conduct a detailed analysis of the complexity of LDDs observed in various sequence datasets. This thesis offers a thorough exploration and documentation of this analysis. An important finding from this thesis is the consistent patterns of …

How Eppley Airfield Could Be Reducing Your Power Bill (But They’Re Not), Cherry Pham

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Eppley Airfield in Nebraska is spending $950 million on their renovation and services are still running, even during construction. Part of the airport’s renovation budget could be allotted to installing solar canopies. In the long run, airports with solar canopies reduces their own electricity expenses.

Carbon Markets: A New Opportunity For Farmers, Emma Wrede

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Farmers have always known that healthy soil is their greatest asset to their success. Carbon markets are simply finding a new way to identify, measure, and compensate that value in a new way. In a time where every dollar counts, carbon credit markets can strengthen farmers’ margins and enhance their land health which they depend on. With continued research, improved regulation, and clearer guidelines, this system will work for both farmers and the environment.

Nebraska's Hidden Goldmine: Wind Power On Farms, Adelaide Witte

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Nebraska’s been hesitant to go all in on wind energy. People often worry about things like noise, how turbines look, or even potential impacts on human health. Community concerns are valid and should always be acknowledged. However, addressing them doesn’t require putting all development on hold.

“The Good Life” Of Ai, Lauren Smith

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Artificial Intelligence, or AI, is powered by data centers, sprawling warehouses of servers that require massive amounts of electricity and water to operate. The United Statesalready has more than 1,000 data centers, with nearly 400 more on the way.

Nebraska is next. Google is building a major new data center in North Lincoln, adding to the 18 operating across the state.

Our collective use of tools like ChatGPT, Google’s Gemini and Microsoft’s Copilot has fueled a boom in generative AI, and with it a surge in energy and water consumption.

The need for AI regulation isn’t a future concern. It’s …

The Land Competition Between Crops And Solar: Why Nebraska Farmers May Not Have To Choose, Jada Vogel

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

There are significant benefits that can come from implementing agrivoltaics on farms in Nebraska. The economic gains from the use of agrivoltaics alone may be sufficient to get individuals to pursue their use.

The Myth Of Clean Manufacturing, Andrea Phan

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

We must act now and reform renewable energy credits to reflect real progress. This means tightening Scope 2 rules so that renewable claims are tied to additional, time and location matched, clean power. It means rewarding measurable integration, so that real emissions are avoided, not waived by retroactive certificates. RECs can still play a role, but only in a system that demands we use the tools we already have.

Nebraska’S Best Option: Carbon Capture, Leah Bates

Op-Eds from ENSC230 Energy and the Environment: Economics and Policies

Some may argue that carbon capture technologies are not optimal due to their high costs or how they take focus away from implementing renewable energy sources. However, carbon capture and storage technologies are currently the best options in reducing carbon emission and Nebraska is leading the way.

A Data-Driven Framework For Optimal Retail Store Location, Ming Hui Tan

Dissertations and Theses Collection (Open Access)

This study develops a data-driven framework for optimal retail store location planning that integrates road network analysis, mobility data and optimization techniques. By addressing the limitations of traditional approaches that rely on outdated census data and manual site selection, this research offers a scalable and adaptable solution for retail expansion in diverse urban environments. Chapters 1 and 2 establish the foundational context and theoretical underpinnings of this research. Chapter 1 introduces the research problem and motivation, highlighting the limitations of existing approaches and defining three key research objectives: automating candidate site identification, improving footfall estimation, and developing a scalable multi-site …

Carbon Footprint Of Carrots In Western Australia, Christophe D'Abbadie, Saloomeh Akbari, Sang Ravindran

Horticulture research reports

This report presents the findings of a comprehensive carbon accounting study conducted on carrot production in the Myalup area of Western Australia.

The study reveals that carrot emissions are approximately 81 kg CO2e per tonne of carrot sold from the April harvest and 76 kg CO2e per tonne from the October harvest, when using rejected carrots for other economic uses. These figures represent competitive emissions intensities compared to international benchmarks.

Key findings include:

• Yield improvement is the primary driver for emissions reduction: Increasing productivity, without proportional input increases, offers the most effective pathway to lower emissions’ intensity while improving economic …

Evaluation Of Towed Tem Potential For Rapid Characterization Of Levee Foundations, Kolawole Arowoogun, Katherine Grote, Jeremy Maurer

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Assessing the geologic conditions of levee foundation soils is a challenging task owing to the extensive length of most levees and the heterogeneity of many alluvial deposits. Traditional investigation techniques (such as boring and cone penetrometer testing [CPT]) are expensive, invasive, and provide spatially-limited information. As a result, they are restricted to pre-identified problematic zones in the levee. To overcome these challenges, geophysical instruments capable of better spatial coverage are proposed for rapid geoelectrical characterization of levees. In this study, we presented a field-based application of the towed time-domain electromagnetic method (tTEM) system in characterizing the subsurface geology adjacent to …

Genai Literacy Framework For Library Instruction, Adwoa Boateng, Jennifer Freer, Greyson Pasiak, Erich Short, Ryan Tolnay, Rit Libraries

Presentations and other scholarship

A generative artificial intelligence (genai) framework for library instruction. This short framework is designed to incorporate into existing library instruction across many subject areas. The basic elements of the framework are: know & understand genai, use & evaluate genai, and library research & discovery with genai.

Studying Topic Evolution Based On Bertopic Model And Semantic Function, Jiabin Qu, Mengyang Wang

Journal of Scientific Information Research

[Purpose/significance] Topic evolution analysis can help researchers quickly grasp the research hotspots and development trends of a discipline. However, existing topic models often overlook the semantic functions and structures of texts during topic extraction, making it difficult to reveal the deeper patterns of disciplinary development. This paper proposes an integrated framework for topic evolution analysis that combines the BERTopic model with semantic functions, aiming to enrich and improve the methodological system of topic evolution research.

[Method/process] Firstly, the BERTopic model is used to extract topics, obtaining the“Topic-Word”distribution. Next, a discourse parsing tool analyzes abstracts into five semantic function segments, resulting …

Research On Identification And Evaluation Method Of Medical Experts' Expertise Domains In Online Health Community Based On Knowledge Graph, Yunjiang Xi, Qian Zhang, Man Li, Juan Yu

Journal of Scientific Information Research

[Purpose/significance] This study aims to identify the expertise domains of medical experts, and evaluates their domain levels to provide a basis for community expert recommendation.

[Method/process] This study utilized the improved OneRel model to structure community historical Q&A into entity relation triples. Then used the knowledge graph triples to test the consistency between the medical knowledge in the community Q&A and the domain knowledge, and finally obtained the doctor's domain levels by aggregating in each expertise domain.

[Result/conclusion] Using the data example from xywy.com website, 214 doctors in the community were ranked in terms of their average level of expertise …

Closing The Loop On Textile Waste: Policy, Technology, And Consumer Behavior In Sustainable Fashion, Anthony Amotoe-Bondzie

Collected Student Papers

Textile waste has become one of the most visible consequences of the fashion industry’s linear production and consumption model, where materials are rapidly extracted, transformed, consumed, and discarded. This paper critically examines how sustainable fashion can move beyond isolated recycling efforts toward a more integrated circular economy framework. Rather than treating textile waste as only an end-of-life problem, the study analyzes it as a systems issue shaped by overproduction, weak product design, limited recovery infrastructure, fragmented regulation, and consumer habits that normalize short garment lifespans. The paper argues that closing the loop on textile waste requires coordinated interventions across policy, …

The Fate Of Recycled Water In Restored Wetlands, Punyotoya Paul

Environmental Science and Management Professional Master's Project Reports

This research investigates the hydrological fate of treated wastewater or "recycled water" used for irrigation at a restored wetland site (Thomas Dairy) near Tigard, Oregon, that is managed by Clean Water Services (CWS). CWS is interested in understanding how treated wastewater moves through plants and soil in ecosystems that might be targeted for recycled water applications. Using a water balance approach, we evaluated irrigation inputs, soil infiltration dynamics, and hydraulic conductivity measurements across three soil types with different textures and other properties. Field measurements were collected using advanced sensors (TEROS and ATMOS devices) and laboratory tools (KSAT) to quantify soil …

Chemistry And Biochemistry Affiliated Publications: Snapshot Of The Research Publications 2019-2024., Jeremy J. Smith, Lutishoor Salisbury

University Libraries Faculty Publications and Presentations

This report highlights the chemistry and biochemistry faculty publications for the period 2019-2024. It includes tables identifying the types of publications, the characteristics of the authors, inter-departmental and external cooperation, summary of the citations of the publications, and the JCR ranking of the journals in which they published.

Enhancing Llm Code Generation: A Systematic Evaluation Of Multi-Agent Collaboration And Runtime Debugging For Improving Accuracy, Reliability, And Latency, Nazmus Ashrafi

Theses

The use of large language models (LLMs) for automated code generation has emerged as a significant focus within AI research. As these pretrained models continue to evolve, their ability to understand and generate complex code structures has opened up new possibilities for automating intricate programming tasks with greater accuracy. Although contemporary foundational models demonstrate promising results, researchers continue to explore optimal post-training strategies to enhance code quality. These include supervised fine-tuning, retrieval-augmented generation (RAG), debugging, and many others. In this thesis, I combine two such widely used post training approaches—namely (1) multi agent collaboration and (2) runtime execution of information-based …

Adaptive Security Metric For Optimizing Post-Quantum Cryptography In Constrained Iot Devices, Aisha Nasser Ahmed

Theses

Quantum Computing poses real threat to Classical Public-Key Cryptography requiring the use of Post-Quantum Cryptography for all Internet of Things Devices. However, there are greater computational, memory and communication overheads in PQC algorithms that create additional burdens on resource constrained IoT devices. At this time, there are no standard measures for systems developers to determine optimal PQC settings for the various IoT Device Classes. This Thesis develops a new framework of metrics for determining the most suitable PQC settings based on Security Strength, Performance Indicators (Latency, Memory, Energy), Communication Overhead and Reliability for each IoT device class. The Research introduces …

Six New Doubly Eclipsing Quadruples In A 2+2 Architecture, Petr Zasche, Hana Kučáková, Jan Kára, Jaroslav Merc, Z. Henzl, Martin Mašek, L. Červinka, Vojtěch Dienstbier

Physics & Astronomy Faculty Publications

The study presents a confirmation of six quadruples with two sets of eclipses that have the 2+2 architecture. These so-called doubly eclipsing systems still present a quite rare group of stars. We collected all available photometric data and carried out a detailed analysis of them. In addition to the precise TESS photometry used to model the light curves for both inner eclipsing binaries, photometric survey data were also used, and more than 100 nights of our own dedicated observations were carried out. These were mainly used for the detection of the long-term evolution of orbital periods. Thanks to these data, …