Digital Commons Network^™

Thermodynamic Assessment Of The Li, Na, K, Cs | F, I Reciprocal Salt For Msr Applications, Clara M. Dixon, Mina Aziziha, Amir Mofrad, Jorge Paz Soldan Palma, Ronald E. Booth, Aiswarya Padinhare Manissery, Jack A. Wilson, Hans Conrad Zur Loye, Hunter B. Tisdale, Juliano Schorne-Pinto, Theodore M. Besmann

Faculty Publications

Gibbs energy models necessary to describe the thermochemical behavior of cesium and iodine in molten FLiNaK (46.5LiF-11.5NaF-42KF mol%), a proposed molten salt reactor coolant and fuel solvent, have been developed as they are of concern due to their high radiotoxicity and volatility. The six constituent pseudo-binary systems LiI-CsI, LiI-KI, LiI-NaI, NaI-KI, KI-CsI and NaI-CsI were evaluated using available phase equilibria and mixing enthalpy measurements. The models for the ternary reciprocal salt systems Li,Cs|F,I, Li,K|F,I, Li,Na|F,I, Na,K|F,I, Na,Cs|F,I and K,Cs|F,I were obtained by interpolation of the optimized pseudo-binary systems and parameters fit as necessary based on observed behavior. The additive (common …

Teaching Literacy Foundations (2nd Edition), Debra D. Murphy

ATU Faculty OER Books and Materials

Goals and Objectives of the Textbook

This textbook aims to equip educators with the knowledge, skills, and tools necessary to create rich and inclusive literacy learning environments for all students. The specific objectives of the textbook are:

1. To present a historical and theoretical framework for understanding literacy development and instruction.

2. To explore the essential components of literacy instruction, including phonemic awareness, phonics, vocabulary development, reading fluency, reading comprehension, and writing instruction.

3. To provide practical strategies and activities for teaching and assessing literacy skills.

4. To discuss differentiated instruction and inclusive practices that address the diverse needs of …

Temporal Decline And Spatial Heterogeneity Of Cry1ab Susceptibility In Asian Corn Borer, Ostrinia Furnacalis (Guenée), Populations In The Philippines: A Review And Synthesis Of Monitoring Data (2015–2024) [Review Article], Edwin P. Alcantara

The Philippine Agricultural Scientist

Transgenic corn expressing the insecticidal Cry1Ab protein has been widely utilized in the Philippines to control the Asian corn borer (ACB), Ostrinia furnacalis (Guenée). Continuous, long-term monitoring is critical to detect shifts in baseline susceptibility and mitigate the risk of field-evolved resistance. This study evaluated the spatiotemporal dynamics of ACB susceptibility to Cry1Ab over nine years (2015–2024). Bioassay data were collected from 12 geographically distinct field populations across the Philippines, alongside a susceptible laboratory reference strain (UPLB). To account for spatial hierarchy and temporal variance, data were analyzed using a Bayesian hierarchical multilevel model with a logit link. Baseline assessments …

External Funding Bulletin July 1, 2024-June 30, 2025, Office Of Research And Creative Activity, University Of Nebraska At Omaha

Sponsored Programs Bulletins

No abstract provided.

Teachers Of Students With Visual Impairments (Tsvis) Assistive Technology (At) Competencies: An Update Study, Benjamin Kendall Lytle

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

Assistive technology (AT) is essential for supporting access, independence, and learning among students with visual impairments. Teachers of students with visual impairments (TSVIs) are expected to integrate AT into instruction and ensure their students are prepared for academic, social, and workforce demands. The original list of 111 AT competencies for preservice TSVIs, developed by Smith et al. (2009), provided an important foundation but has not been revised despite significant technological advances over the past decade. Outdated competencies risk limiting teacher preparation programs and leaving educators underprepared to address the realities of today’s classrooms. A revised and streamlined competency framework is …

A Comparative Analysis Of Complete Streets And Multimodal Transport Approaches: Implications For Sustainable Urban Mobility In Lincoln, And Global Contexts, Oliva Richard Kilyenyi

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Movement of people and goods in urban areas through different modes of transportation including walking, cycling, public transit and by autos is termed as urban mobility. Urban mobility presents significant environmental, social, and economic challenges for cities worldwide as they grapple with the impacts of conventional transportation systems, particularly in North America context where car-centric planning approaches has dominated urban developments since 1950s. Car-centric dominance is 80% in North American Metropolitan areas (Manaugh et al., 2015). The impacts of these conventional systems include greenhouse gas emission emissions contributing approximately 24% of global carbon dioxide (CO₂) emissions, air pollution …

Are A.I. Lawyers A Legal Product Or Legal Service?: Why Current Upl Laws Are Not Up To The Task Of Regulating Autonomous A.I. Actors, Sean Steward

Hofstra Law Review

The rise of automation, particularly with the advent of large language models, presents a significant potential for the legal profession. While automation has traditionally focused on manual and repetitive tasks, A.I.'s evolution now allows machines to handle complex, thought-intensive work involving decision-making. This shift underscores a pressing issue: the American legal system lacks a clear definition of the practice of law. This becomes especially critical as A.l, an "autonomous actor," begins to take on roles that were previously exclusive to human practitioners. One company that exemplifies the advanced capabilities of modern A.I.-powered technology is Pactum Al Pactum's autonomous negotiation software …

A Temporal Extension Of Tasselnet With Uncertainty Quantification Using Bayesian Latent Autoregressive Model, Gayara Demini Fernando Muthunama Gonnage

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

Manual counting of maize tassels remains a time-consuming and labor-intensive process. Automating tassel counting using maize field images has received significant interest, with researchers exploring methods to streamline this task. Accurate tassel detection can substantially reduce both time and labor costs, offering a practical solution for large-scale agricultural management. Current studies in this area predominantly focus on training object detection algorithms to enhance prediction accuracy and efficiency. Images for this task are often captured in sequences, meaning they capture the exact location of the maize fields over time. However, existing tassel detection and counting methods typically ignore this sequential nature, …

Cattlefever: An Automated Cattle Fever Estimation System, Trong Thang Pham, Ethan Coffman, Beth Kegley, Jeremy G. Powell, Jiangchao Zhao, Ngan Le

Electrical Engineering and Computer Science Faculty Publications and Presentations

Farmers face the critical challenge of monitoring cattle well-being for both ethical and economic success, relying on signals like body temperature and facial expressions to assess their animals' health. However, these indicators have traditionally relied on human observation with manual measurement, which is time-consuming and subjective. Despite this clear need, no automated system currently exists for monitoring cattle body temperature, and available datasets remain limited in scope. To address these challenges, we make two key contributions: (i) We introduce CattleFace-RGBT, a novel RGB-Thermal (RGB-T) Cattle Facial Landmark dataset consisting of 2,300 paired RGB and thermal images (4,600 images in total), …

Working Around Public Policy Towards A Grounded, Filipinized Philosophy Education, Ysabella Margarette M. Zureta

Philosophy Department Faculty Publications

Amidst a backdrop of highly Westernized philosophy education in the Philippines and the continuous disregard of Filipino philosophy as philosophy, FPA Demeterio III relegates the question and debate of the existence of Filipino philosophy as “retrogressive.” He instead creates a grand taxonomy of Filipino philosophy that enumerates twelve forms of the discipline, which he whittles down to five forms with highly developmental potentials for both scholars and teachers alike to dedicate their study to. My study then attempts to answer the following research question: Is the present state-recommended undergraduate philosophy curriculum in the Philippines capable of developing Demeterio’s articulation of …

The Impact Of Screentime In Childhood, Kyla P. Shirley

Informatics

The increased dependency on technological devices as a result of the digital age being upon us impacts a multitude of individuals from all age groups. For older groups, they might find an easier time navigating the world wide web due to their awareness of the potential dangers these digital spaces may bring. On the other hand, younger age groups are more susceptible to the dangers posed due to their lack of maturity which in turn makes them extremely vulnerable to being negatively impacted when using these electronic devices. The goal of this project was to generate awareness concerning screen time …

Fair + Equitable December/January 2026, International Association Of Assessing Officers

Fair + Equitable

The December/January 2026 issue of F+E offers insight into the new laws passed in 2025 and the impact on property valuation. Also in this issue:

• What's trending in the IAAO library
• IAAO accepting session proposals for annual conference
• Members select new Board members
• Meet the new IAAO instructors
• Mapping IAAO membership
• GIS/Val Tech conference registration opens
• IAAO annual audit information
• IAAO Impact Circle
• New IAAO designees
• Industry career opportunities

Where Is Dance In Education? Perspectives On The State Of Dance In Independent Schools Across The Midwest And How One School Community Fits Into The Larger Picture, Megan O'Toole

Master's Theses

The goal of this study was to examine the current state of dance education in independent K-12 schools in the Midwest region of the United States. The researcher developed four essential questions to guide the study:

Q1 Which schools had dance programming, and which schools did not have dance programming?

Q2 For the schools that had dance programming, what did the dance programs look like?

Q3 What factors influenced a school’s decision to include dance programming?

Q4 What factors influenced a school's decision to exclude dance programming?

A regional study was conducted to understand the trends associated with current dance …

The Impact Of Using The Visual, Auditory/Aural, Reading/Writing, And Kinesthetic (Vark) Model In Ballet Class: A Multifaceted Approach To Teaching Ballet Technique To Children Ages Nine To Twelve Years Old, Angelle Cain Wise

Master's Theses

The purpose of this study was to generate data that would measure the impact of the application of the Visual, Auditory/Aural, Reading/Writing, and Kinesthetic (VARK) Model learning styles on student comprehension and execution of movement in ballet class. The researcher sought to answer these questions:

Q1 Does teaching students’ using their preferred learning style help them understand the movement thoroughly?

Q2 Does teaching students’ using their preferred learning style help them execute the movement more precisely?

There was a total of twelve participants ages nine to twelve years old and two observers, whom were colleagues of the researcher. A set …

A Comprehensive Study Of Uncertainties In The Modeling Of Binary Neutron Star Outflows, Amelia Michele Henkel

Doctoral Dissertations

Binary neutron star (BNS) mergers have recently become a tool to study extreme gravity, nucleosynthesis, and the chemical composition of the Universe in a new way. In order to accurately identify electromagnetic signals of neutron star mergers, both in the future and retroactively, better constraints on their merger signatures are required. Specifically, BNS outflow properties (such as the mass and composition) are particularly insightful, as they provide a link between the intrinsic properties (such as the stellar masses and radii) and observables. In this thesis, I put forth multiple ways of classifying uncertainties associated with BNS mass outflow models. First, …

Optimal Network Maintenance And Restoration: Applications And Algorithms, Nayan Chakrabarty

Graduate Theses and Dissertations

In this dissertation, we consider three types of network optimization problems. In Chapter 1, we consider a network maintenance problem which focuses on time-based redeployment of multi-class nodes for reliable wireless sensor network coverage. Whereas previous research on time-based node redeployment assumes nodes are identical with respect to time to failure, we use multiple classes of sensor nodes to represent a scenario where nodes’ times to failure are dependent on positioning in the network. We propose a partial survival signature (PSS) approach for estimating area coverage reliability under a given time-based redeployment policy, where the PSS is estimated by Monte …

Assessing The Impact Of Social Network On Cyber-Argumentation, Bhargav Krishna Thota

Dissertations

Argumentation is one of the basic activities people perform in our society. People often spend a lot of time arguing about social, cultural, economic, financial, political, and other issues. Existing cyber-argumentation platforms facilitate large-scale discussions among participants and play an important role in the analysis of collective opinions and collective decision-making. However, they do not provide social networking capabilities and are not designed to be used in social networking environments. Social networks in argumentation platforms can reveal the patterns, shifts, and true relationships between the users in a discourse that influence the collective decision-making process, outlier opinions and so on. …

Advancements In Visualization, Post-Processing And Ai-Enhanced Modeling Of Multi-Scale Micromechanics For Composite Materials, Joao Guilherme Brites Rei

Masters Theses

This study addresses some of the primary deficits of a localization/homogenization workflow for composite materials by focusing on the visualization and enhancement of models based on GMC and HFGMC, with emphasis on their implementation within the NASMAT ecosystem.

This thesis details the development of two dynamic, ParaView-based plugins that convert large hierarchical simulation outputs into interactive insights. While NASMATDiscreteElement systematizes RUC creation with transparent parametrization in a reproducible GUI, NASMATExplorerRUC enables the inspection of deeply nested datasets through accurate cell picking and synchronizes comparisons between parent and child views. Additionally, a shallow U-Net neural network is optimized on HFGMC data …

...Of Cabbages And Kings, Fall 2025, Emeriti Society, University Of The Pacific

Emeriti Newsletter: "...Of Cabbages and Kings"

"...Of Cabbages and Kings" is the newsletter of the University of the Pacific Emeriti Society. Read more about the Emeriti Society of Pacific by clicking here.

Iowa Waste Reduction Center Newsletter, December 2025, University Of Northern Iowa. Iowa Waste Reduction Center.

Iowa Waste Reduction Center Newsletter

Contents:

--- Season of Joy
--- A Thirty-Seven Year Career Deserves a Celebration
--- Energy Efficiency Assistance Program for Iowa Small Businesses
--- Reporting Deadline: Grain Facility PM10 PTE
--- Reporting Deadline: 6X Certification and Compliance Report
--- Our Team is Growing! Meet our new Environmental Interns
--- IWRC hosts the IACC Strategic Planning Session
--- Industry News

Statistical Overview Of Long-Lived Active Regions Observed Across Multiple Carrington Rotations, Emily I. Mason, Kara L. Kniezewski

Student Publications

The study of solar active regions (ARs) is of central importance to a range of fundamental science, as well as the practical applications of space weather. Active region emergence and life cycles are two areas of particular interest, yet the lack of consistent full-Sun observations has made long-term studies of active regions difficult. Here, we present results from a study to identify and characterize long-lived active regions (LLARs), defined as those which were observed during at least two consecutive Carrington rotations and which did not undergo significant successive flux emergence once the decay phase began. Such active regions accounted for …

Sensitivity Analysis Of The Faraday Rotation Ammeter, Jason Sisk

Master's Theses and Capstones

This thesis describes the operation and error analysis for an instrument that is intended to measure current density in space, although there are other potential applications for the instrument. The device, named the Faraday Rotation Ammeter (FRA), utilizes the Faraday Rotation Effect to calculate current density, where the magnetic field created by a current density causes a shift in the polarization angle of light traveling in a fiber optic cable within the device. The fiber optic cable is wrapped into a ring structure oriented in a way so that the polarized source travels parallel to the magnetic field of interest, …

Post-Fire Soil Health Assessment Of The Grasslands And Woodlands In The Semi-Arid Nebraska Sandhills, Stephanie M. Lugo

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

Grasslands in the Nebraska Sandhills are shaped by natural wildfires, which help maintain the structure and function of native grasslands. In recent decades, afforestation with ponderosa pine and eastern redcedar has introduced new woodlands that altered the region’s fire dynamics and raised important questions about the effects of wildfire on different vegetation types. As wildfires become more frequent, understanding their impacts on soil health in grasslands and woodlands becomes increasingly important. This study examines the short-term effects of the 2022 Bovee Fire on physical, chemical, and biological soil properties in native grasslands and ponderosa pine and eastern redcedar afforested woodlands. …

Improving The Effectiveness Of The Teacher Professional Learning Communities In Secondary Education, Oscar A. Urieta

Education Theses and Dissertations

This Improvement Science Dissertation in Practice investigated how to enhance the relevance, effectiveness, and teacher ownership of grade-level Professional Learning Communities (PLCs) at a university-affiliated charter school in East Texas. Despite the district’s strong STEM and Project-Based Learning (PBL) emphasis, 60% of high school teachers reported that PLCs felt irrelevant, administratively driven, or misaligned with their daily instructional needs. Using Improvement Science methodologies, including Plan-Do-Study-Act (PDSA) cycles, root-cause analysis, a driver diagram, and embedded collaborative structures, this study implemented targeted interventions aimed at shifting teacher perceptions and strengthening PLC practices. Interventions centered on aligning PLC agendas with PBL, implementing structured …

Digital Communications Between Firms And Investors: Impact Of Explanatory Responses On Investor Engagement In Online Financial Q&A, Runyu Wang, Zili Zhang, Keng Siau, Ziqiong Zhang

Research Collection School Of Computing and Information Systems

The emerging trend of digital communications between firms and investors through online question-and-answer (Q&A) platforms is recognized as a vital strategy for managing investor relations, contributing to enhanced market efficiency and information transparency through increased information exchange. Potential investors can seek responses from firm managers to address their information needs, thereby mitigating market uncertainties. To provide foundational insights, we conduct a survey of investors to assess their awareness, usage, and perceptions of firm-investor Q&A platforms. In the subsequent empirical study, we specifically focus on the substance of managers’ responses, which are primarily aimed at clarifying firm events or information. In …

Coresets For Clustering Under Stochastic Noise, Lingxiao Huang, Zhize Li, Nisheeth K. Vishnoi, Runkai Yang, Haoyu Zhao

Research Collection School Of Computing and Information Systems

We study the problem of constructing coresets for $(k, z)$-clustering when the input dataset is corrupted by stochastic noise drawn from a known distribution. In this setting, evaluating the quality of a coreset is inherently challenging, as the true underlying dataset is unobserved. To address this, we investigate coreset construction using surrogate error metrics that are tractable and provably related to the true clustering cost. We analyze a traditional metric from prior work and introduce a new error metric that more closely aligns with the true cost. Although our metric is defined independently of the noise distribution, it enables approximation …

Advancements In Sinkhole Remediation: Field Data-Driven Sinkhole Grout Volume Prediction Model Via Machine Learning-Based Regression Analysis, Bubryur Kim, Yuvaraj Natarajan, K. R. Sri Preethaa, V. Danushkumar, Ryan Shamet, Jiannan Chen, Rui Xie, Timothy Copeland, Boo Hyun Nam, Jinwoo An

Civil Engineering Faculty Publications

Sinkhole formation poses a significant geohazard in karst regions, where unpredictable subsurface erosion often necessitates costly grouting for stabilization. Accurate estimation of grout volume remains a persistent challenge due to spatial variability, site-specific conditions, and the limitations of traditional empirical methods. This study introduces a novel machine learning-based regression model for grout volume prediction that integrates cone penetration test (CPT)-derived Sinkhole Resistance Ratio (SRR) values, spatial correlations between CPT and grouting points (GPs), and field-recorded grout volumes from six sinkhole sites in Florida. Three data transformation methods, the Proximal Allocation Method (PAM), the Equitable Distribution Method (EDM), and the Threshold-based …

Reliable-Data-Split (Rds): Maximizing Model Potential With Reinforced Selection Strategy, Hoang D. Nguyen, Xuan-Son Vu, Quoc Tuan Truong, Duc-Trong Le

Research Collection School Of Computing and Information Systems

The nexus between data characteristics and parametric models is fundamental for developing effective and reliable artificial intelligence (AI) systems. Mismatches in data properties for model development may lead to deleterious effects on AI model performance in machine learning practice. This paper proposes a Reliable Data Split (RDS) procedure to learn how to select data points that will generalise the target domain adequately by employing prior knowledge of the data generative process. We introduce a reinforced selection strategy using deep reinforcement learning with diverse black box predictors in maximising ensemble rewards as the proxy of model performance potential while maintaining an …

Scalable Graph Indexing Using Gpus For Approximate Nearest Neighbor Search, Zhonggen Li, Xiangyu Ke, Yifan Zhu, Bocheng Yu, Baihua Zheng, Yunjun Gao

Research Collection School Of Computing and Information Systems

Approximate nearest neighbor search (ANNS) in high-dimensional vector spaces has a wide range of real-world applications. Numerous methods have been proposed to handle ANNS efficiently, while graph-based indexes have gained prominence due to their high accuracy and efficiency. However, the indexing overhead of graph-based indexes remains substantial. With exponential growth in data volume and increasing demands for dynamic index adjustments, this overhead continues to escalate, posing a critical challenge.In this paper, we introduce Tagore, a fasT library accelerated by GPUs for graph indexing, which has powerful capabilities of constructing refinement-based graph indexes such as NSG and Vamana. We first introduce …

From Inside The Recording Studio, Mckayla J. Adkison

Capstone Projects and Master's Theses

This project documents the historical, technical, and creative significance of recording studios through both industry examples and the design and construction of a personal backyard studio. By examining iconic studios such as Abbey Road and Capitol Records, the paper highlights how technological innovation, acoustic engineering, and architectural design have shaped the evolution of recorded music. These concepts are then applied to the planning and construction of a custom-built recording studio, emphasizing room dimensions, sound isolation techniques, acoustic treatment, lighting, and sustainable design choices. In addition, the project addresses the importance of aesthetics and emotional comfort in creating a space that …