Digital Commons Network^™

The Role Of Cumulative Usage In Language Learning And Language Variation: Evidence From Spanish Voiced Stops, Sarah Lease

Linguistics ETDs

This dissertation investigates the cumulative repercussions of a word’s typical context of use on lexical representations and speech production, both in cases of language learning and language variation, through the lens of Usage-Based Linguistics. The data come from sociolinguistic interviews with Spanish-speaking children and adults of Mexican heritage living and working in the Pacific Northwestern United States. Each study examines Spanish word-initial /bdɡ/ productions using a myriad of statistical approaches. The dissertation adds to our understanding of the long-term storage of variation in lexical representations, as well as its nuanced impact on children’s and adults’ speech production. The dissertation also …

From Sparse To Precise: Modeling Beam Profiles Using Wavelet-Based Implicit Neural Network (Winn) For Linear Accelerator Commissioning And Quality Assurance, Maryam Ali Albuainin

Computer Science ETDs

Commissioning and routine quality assurance (QA) in radiotherapy require extensive measurements using bulky water tank systems, making the process time-consuming and costly. This research proposes an efficient framework for radiotherapy commissioning and QA by generating complete LINAC physics data from sparse measurements and developing a portable solid-water detector with embedded diodes for high-resolution dosimetry.

At the core of the framework is a Wavelet-based Implicit Neural Network (WINN) that reconstructs full measurement datasets from limited inputs while maintaining clinical accuracy. The model achieves gamma passing rates above 95% (1%/1 mm) and mean absolute errors below 0.5%, while reducing parameters by 99.46% …

Lowering Class Size To Improve Teaching And Learning Mathematics In Early Grades, Dianne S. Mccarthy

Journal of Inquiry and Action in Education

Fourth-grade mathematics proficiency in the United States remains low, with only 39–57% of students meeting proficiency standards on NAEP, New York State, and TIMSS assessments. This article argues that reducing class sizes in the early grades (K–3) is an effective strategy to improve teaching and learning in mathematics. Evidence from the Tennessee STAR study and supporting research (Clanet, 2010; Cho et al., 2012) shows that smaller classes yield statistically significant and lasting gains in student achievement. Benefits include stronger teacher-student relationships, increased individualized attention, fewer disruptions, and more active student engagement. These conditions enable high-impact, constructivist approaches such as inquiry-based …

Heavy Metal And Metalloid Accumulation In The Gallinas River Following The Hermit's Peak / Calf Canyon Wildfire, Olivia A. Kelly

Geography ETDs

This study evaluates the persistence and bioavailability of heavy metals and metalloids in the Gallinas River three years after the Hermit’s Peak/Calf Canyon Wildfire of 2022 using a multicompartment sampling framework that includes water, sediment, and benthic macroinvertebrate tissue analysis via inductively coupled plasma optical emission spectrometry (ICP-OES) and inductively coupled plasma mass spectrometry (ICP-MS). Results indicate that the Hermit’s Peak/Calf Canyon Fire continues to influence the hydrogeochemical condition of the Gallinas River. Sediments contain elevated concentrations of several metals and metalloids, and these same elements are detectable in macroinvertebrate tissues, linking sediment contamination to biological uptake. Zinc (Zn), silicon …

Statistical And Spectral Theory For Spatially Correlated Random Aperiodic Antenna Arrays, Thomas Edward Christian Jr

Electrical and Computer Engineering ETDs

Aperiodic phased arrays enable beam steering, interference suppression, and spectrum efficiency for 6G, radar, biomedical imaging, and distributed sensing. Minimum inter-element spacing and keep out zones induce spatial correlation, violating the i.i.d. element-position assumption behind classical probabilistic random array theory. This dissertation develops a unified probabilistic spectral framework for correlated (non-i.i.d.) arrays. Second moment power pattern analysis incorporates the pair-correlation function  and structure factor , recovering the i.i.d. limit when  and accommodating unequal excitations. Side lobe and main lobe fields deviate from Rayleigh/Exponential and are modeled by weighted Nakagami and Gamma-mixture distributions, parameterized via Monte Carlo. The blue noise spectral …

Realizing The Long Wavelength Array Swarm, Craig Anthony Taylor

Physics & Astronomy ETDs

Sensitive modern radio interferometers are costly to build and operate at the university level. The `swarm telescope' concept addresses this challenge by enabling the collaborative use of individual telescope systems, overseen by separate institutions, that come together to form a more powerful and manageable facility. This dissertation focuses on demonstrating this concept using the Long Wavelength Array (LWA) by commissioning an aperture synthesis telescope consisting of interconnected LWA stations, called the LWA Swarm. The presented work details building a cost-efficient prototype LWA platform -- the LWA--North Arm station -- to enable synthesis imaging using the 3-element interferometer comprised of LWA1, …

A Multi-Frequency Investigation Of Compact Symmetric Objects, Evan E. Sheldahl

Physics & Astronomy ETDs

Some of the brightest objects in the radio sky are jetted active galactic nuclei (AGN), supermassive black holes in the centers of galaxies that accelerate relativistic electrons into twin radio jets. One of the biggest questions surrounding AGN is how they produce radio jets in the first place. We search for an answer to this question by exploring a class of AGN that have uniquely well-constrained physical properties and are thought to be in an early stage of AGN development: compact symmetric objects (CSOs). Throughout our journey with these remarkable sources, we quantify their efficacy as calibrator sources for radio …

Hierarchical Safe Reinforcement-Learning Framework For Mission-Aware, Edge-Enabled Multi-Uav Iot Networks, Abee F. Alazzwi

Electrical and Computer Engineering ETDs

This Ph.D. dissertation presents a unified Hierarchical Safe Reinforcement Learning (HSRL) framework for mission-aware, edge-enabled multi-UAV Internet of Things (IoT) networks. The work addresses the need for autonomous aerial infrastructures capable of delivering low-latency communication, scalable edge computation, and provably safe operation in dynamic environments. The dissertation develops three primary contributions. First, it formulates longhorizon drone base station placement and load balancing as a strategic actor–critic learning problem, enabling proactive adaptation to spatiotemporal demand variations. Second, it introduces a mission-aware multi-agent reinforcement learning controller for coordinated mobility, sensing, and computation offloading under latency and energy constraints. Third, it integrates a …

Analysis Of The Relationships Between Students' Memory Ability And Cognitive Ability On Chemical Nomenclature, Yenni Kurniawati, Elsa Tria Monica, Nurul Aulya Nisya, Alfi Novriandri

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Memory ability was needed thing that important to research in relationships and teachers’ effort in increasing learning quality. The research aimed at knowing  the correlation between students’ memory ability and cognitive ability at Islamic Senior High School of Al-Ihsan Boarding School Kubang Raya, Kampar. It was used mixed method design. Technique of colecting the data was used Quantitave method through memory test ability and cognitive ability test. Questionnaire, observation and documentation technique was used for collecting the data in quality. Subject of the research was students of Islamic Senior High School of Al-Ihsan Boarding School Kubang Raya, Kampar. Object …

The Academic Workplace Climate Measure: A New Instrument To Measure Counselor Education Faculty Climate, Ryan Holliman, Ryan D. Foster, Pedro Blanco

Journal of Counselor Preparation and Supervision

Research indicates that between 32% and 62% of faculty in higher education have experienced some form of incivility (Cassell, 2011; Fox, 2010; Heffernan & Bosetti, 2020; Hollis, 2012; Keashly & Neuman, 2008; McKay et al., 2008). Incivility among faculty can be associated with declining health, decreased faculty retention, diminished self-esteem, and lowered psychological well-being (McClendon et al., 2021; Miner et al., 2012; Raskauskas & Skrabec, 2011). Although counselor educators are presumably experts in effective communication and conflict negotiation, anecdotal reports of conflict in counselor education departments are frequent. This study developed an instrument called the Academic Workplace Climate Measure. In …

Finding Aid For The Mississippi Science Teachers Association Collection (Mum00949)

Archives & Special Collections: Finding Aids (alphabetical)

The collection contains programs, minutes and conference materials related to the Mississippi Science Teachers Association Collection

Multipath Mitigation And State Management In Location-Based Services Using Sensor Fusion And Repurposed Cryptographic Metrics, Alon Barash

Defensive Publications Series

In buildings featuring marble flooring, glass display cases, and complex architecture, radio-frequency (RF) multipath propagation causes signals to bounce, confusing traditional localization systems. In a museum, visitors using proximity-based indoor audio guides can thereby experience back-and-forth jumping of the audio track between adjacent exhibits. This disclosure describes deterministic, multimodal logic and techniques for state switching in location-based services (LBS). The techniques leverage the observation that multipath reflections mimic phase distortions characteristic of man-in-the-middle attacks to use the normalized attack detector metric (NADM) as an environmental proxy. The raw NADM is evaluated on a sliding scale, and, if the score is …

Semantic Photo Search With Compositional Spatial Reasoning, Tamar Yakar, Ilia Labzovsky

Defensive Publications Series

Photo search technologies can identify the content of an image but cannot answer queries relating to the spatial relationships between entities in an image. This disclosure describes computational architectures and techniques for spatial compositional photo search and retrieval. Subjective, spatially rich natural language queries are translated into strict geometric and relational constraints, which are evaluated efficiently against a large corpus of pre-computed spatial indices. Upon ingestion, an image is processed to generate a highly compressed, pre-computed spatial scene graph G = (V, E, C), where V is a set of multimodal entities and bounding boxes; E …

Trauma Sensitivity In Rural Education: A Teacher-Centric Analysis Grounded In Bronfenbrenner’S Ecological Systems Theory, Karie L. Williams

Educational Studies Dissertations

This qualitative case study examines the ways rural teachers implement trauma-sensitive practices despite having few resources and little institutional support. There is a lack of research regarding what teachers in these settings think about trauma-sensitive practice, how teachers implement trauma-sensitive practice within their classrooms, and what ecological factors contribute to the sustainability of trauma-sensitive practice. The primary question driving this research is “How do K–5 public school teachers in a rural-distant district in Virginia implement trauma-sensitive practices within the ecological systems that shape their professional roles, instructional decisions, and relational work with students?”  This question reflects the study’s purpose to …

Through A Pedagogy Of Play: Kindergarten Teachers' Professional Identity, Self-Efficacy, And Well-Being, Jennifer L. Berube

Educational Studies Dissertations

Abstract

This convergent parallel mixed methods study examined how kindergarten teachers who implement a play-based pedagogy describe its influence on their professional identity, self-efficacy, and well-being. Kindergarten represents a critical educational juncture where tensions between developmental practice and academic acceleration are most pronounced, yet existing research has not adequately examined how pedagogical approaches affect the teachers who implement them. While extensive research documents the benefits of play-based learning for children’s development, the experiences of the teachers who facilitate that learning remain largely unexamined. This study addressed that gap through three integrated frameworks: Self-Determination Theory, Seligman’s model of well-being encompassing positive …

From Skilled Labor Pipeline To College-Prep Track: A Study Of Admissions, Access, And Intent In A Massachusetts Vocational High School, Jennifer Ferland

Educational Studies Dissertations

This mixed methods study examined the effectiveness and equity of vocational high school admissions in Massachusetts, focusing on an oversubscribed regional vocational high school and its largest urban comprehensive feeder school. Although vocational schools were created to provide equitable, high‑quality career and technical education, and to prepare students for skilled employment, most vocational students now pursue postsecondary academic pathways, contributing to shortages in the trades. At the same time, traditional admissions criteria—focused on grades, attendance, and behavior—have historically limited access for English Learners, students with disabilities, low‑income students, and students of color. The purpose of this study was to investigate …

From Anxiety To Resilience: A Case Study Of Female-Identifying Middle School Students At A Math Summer Camp, Elizabeth Teixeira

Educational Studies Dissertations

Mathematics anxiety, defined as a fear that hampers engagement in mathematical tasks (Richardson & Suinn, 1972), affects nearly 50% of students (Johnston-Wilder et al., 2014) and has a disproportionate impact on female students (Devine et al., 2018; Stoet et al., 2016). Math anxiety is often treated in the research literature as a relatively stable trait. This perspective may not fully capture how anxiety manifests in specific moments of mathematical engagement or account for the role of environmental conditions that can both precipitate and mitigate anxious responses. In response to these gaps, this study investigates how mathematics anxiety manifests in …

Elementary Residents And Culturally Sustaining Pedagogy In Mathematics, Quayisha F. Clarke

Educational Studies Dissertations

This qualitative interpretive embedded case study examines how seven preservice elementary mathematics residents in a Northeastern teacher residency program identify and enact culturally sustaining pedagogy (CSP) (Paris and Alim, 2017) in their math instruction, and how their intersectional identities shape these enactments. Drawing on CSP, intersectionality, and discretionary spaces (Ball, 2018), the study explores how residents interpret, reason through, and make moment-to-moment decisions that affirm students’ learning in mathematics.

Data were collected across two semi-structured interviews, three classroom observations, post-observation debriefs, lesson plans, coursework artifacts, and a researcher's reflexive journal. Analysis followed a hybrid inductive–deductive approach, using thematic and axial …

Sing Without Even Light - How The Arts Inform And Enhance Learning, Creativity, Imagination, And Wellbeing In Elementary Classrooms In Kajiado, Kenya: Discovering Creative Confidence, Lindsay L. Stewart

Educational Studies Dissertations

Creativity and imagination can be felt, described, seen, and measured. In this study, this is achieved through a reflective process and awareness of creative practice and its potential. The process can aid and increase understanding of self, cognitive and creative process, social-emotional interactions, agency, and action, and reveals an individual’s developmental level of creative confidence.

A gap exists in student and teacher voice regarding their creative awareness and confidence. This study reveals how 29 children ages 8-15 and 14 teachers from Kajiado, Kenya, describe creativity and imagination, supporting both learning and wellbeing.

The study applies an Arts-Based Research approach, primarily …

Near-Freezing Point Concentration Of Orange Juice Based On Absorption Membrane Distillation, Ge Sheng, Chen Dong, Liu Jizhou, Cao Xu

Food and Machinery

[Objective] Aiming at the issues such as solute loss during the freeze-point concentration of heat-sensitive liquid materials, a near-freezing point concentration device based on absorption membrane distillation is designed and fabricated. The feasibility of the device is verified using orange juice as the research subject. [Methods] A mathematical model of the device is established. Using orange juice as the feed liquid and lithium bromide solution as the absorption solution, this paper calculates and analyzes the variation laws of the concentration rate and energy consumption ratio of concentration with factors such as membrane pore diameter, membrane tube wall thickness, mass concentration …

Genomics And Bioinformatics Student Companion Workbook (First Edition), Na Xu, Tina Hu

Open Educational Resources

This Genomics and Bioinformatics Student Companion Workbook provides an integrated, hands-on introduction to the principles and applications of modern genomics and bioinformatics. Designed for undergraduate students, the workbook guides learners from foundational concepts of genome structure and sequencing technologies to advanced topics including variant analysis, comparative genomics, and multi-omics integration. Emphasizing the interplay between experimental biology and computational analysis, it introduces key analytical tools and biological databases that support genome interpretation and data-driven discovery.

Through a structured progression of chapters, students explore genome organization across diverse biological systems, from prokaryotes and viruses to complex eukaryotic genomes, and examine how genomic …

What Is The Skeleton Of Cognition? A Structural Account Of World Reconstruction Through Processing Axes, Griselda Poe

Publications and Research

This paper describes how the placement of a single processing axis reorganizes human cognition and generates a reconstructed world.

Most existing psychological and social theories begin from emotion, desire, morality, or social behavior. In doing so, they have discussed what forms on top of the cognitive skeleton without first fixing the skeleton itself. When the skeleton is not fixed, entirely different explanations of the same phenomenon can coexist, and it becomes difficult to identify which constitutes a foundational account.

This paper fixes the skeleton first. That skeleton is the processing axis.

The question is: when a single processing axis organizes …

Sesquicentennial Commencement [Program], May 15-16, 2026, University Of Northern Iowa

UNI Commencement Programs

Contents:

Brief History of UNI --- 2
Board of Regents --- 3
Institutional Leadership --- 3
Ceremony Symbols & Traditions --- 4
Commencement Over the Years --- 6
University Honors Program --- 8
Graduation with Honors --- 8
Legacy Graduates --- 8
Military Science --- 9
Merchant Scholarship --- 9
Outstanding Student Leader --- 9
Commencement Student Speakers --- 9
Purple and Old Gold Awards --- 10
Lux Service Award --- 11
7 p.m. Program --- 13
College of Education --- 15
David W. Wilson College of Business --- 22
10 a.m. Program --- 29
College of Humanities, Arts & …

Assessing The Professional Development Perspectives Of Special Education Paraprofessionals Supporting Students With Moderate To Severe Disabilities, Anna Opacian

Education Department Graduate Theses/Dissertations

No abstract provided.

Classification Of Hif Detection In Nev Profile Using Wavelet Transform And Convolution Neural Network, Abdul Hafiz Kassim, Mohd Abdul Talib Mat Yusoh, Aster Smith Valentinie Wilson Nottelmarc, Ahmad Farid Abidin, Sim Sy Yi, Daw Saleh Sasi Mohammed

Turkish Journal of Electrical Engineering and Computer Sciences

High impedance faults (HIFs) present a critical challenge in power systems due to their subtle signal characteristics, which often remain undetected by conventional protection methods. These faults typically do not produce significant phase disturbances, making reliable detection difficult. However, analysis of the neutral-to-earth voltage (NEV) profile under fault conditions provides a promising alternative for fault identification. Existing approaches for detecting and classifying HIFs using NEV signals remain limited and may result in inaccurate maintenance decisions. This paper proposes a fault classification framework for multiple fault types, including HIF, three-phase fault, three-phase fault to ground, double line, double line to ground, …

Complex-Valued Convolutional Neural Network With Time-Frequency Representation For Electrocardiogram-Based Arrhythmia Detection, Kajeeth Kumar Gurusamy, Muthurajkumar Sannasy

Turkish Journal of Electrical Engineering and Computer Sciences

This research proposes an end-to-end procedure for arrhythmia detection based on electrocardiogram (ECG) signals using complex-valued convolutional neural network (CVCNN) incorporated with time-frequency representation. The proposed model leverages complex numbers to capture amplitude and phase information that enhances the ability of the model for detecting time-frequency variation in cardiac signals. First, signal preprocessing techniques---including normalization, wavelet denoising, and R-peak detection---are applied. Subsequently, the model extracts complex features from raw ECG data by employing the Hilbert transform to derive the analytic signal and the short-time Fourier transform (STFT) to generate a time–frequency representation. The proposed CVCNN framework effectively learns spatial-temporal features …

Accurate Diagnosis Of Diseases By A Novel Ai Pipeline Based On Feature Extraction, Feature Ranking, And Feature Selection From Medical Images, Tuğba Nur Bozkurt, Mehmet Emi̇n Yüksel

Turkish Journal of Electrical Engineering and Computer Sciences

The rapid growth of the global population has led to a substantial increase in the number of patients, while the availability of healthcare professionals has not expanded at a comparable rate. This imbalance highlights the urgent need for efficient and reliable computer-aided decision support systems that can reduce clinical workload while maintaining high diagnostic accuracy. In this study, a novel and systematically integrated artificial intelligence-based pipeline is proposed for medical image classification, combining statistical significance-driven feature ranking with evolutionary feature selection in a unified framework. The proposed pipeline consists of four sequential stages: feature extraction, ranking, selection, and classification. Features …

Adapting Independent Large-Scale Pretrained Models For Human Action Recognition, Selen Pehli̇van

Turkish Journal of Electrical Engineering and Computer Sciences

Transferring knowledge from large-scale, independently pretrained image and text models to video understanding requires addressing several challenges, including maintaining generalization capabilities of models, integrating them into multimodal architectures, and fine-tuning with temporal dynamics. This study evaluates the effectiveness of parameter-efficient fine-tuning (PEFT) techniques in transferring pretrained knowledge from two independent models for video action recognition within a simple, streamlined multimodal fusion pipeline. Specifically, we adapt CLIP as the text branch and DINOv2 as the image branch, keeping both backbones frozen to preserve their pretrained robustness, while introducing lightweight, task-specific modules to adapt and fuse the branches with temporal dynamics. A …

Adaptive Backstepping Nonsingular Fast Terminal Sliding Mode Control For Robotic Manipulators Based On Disturbance Observer, Xin Zhang, Xu Wang

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents an adaptive backstepping nonsingular fast terminal sliding mode controller integrated with a nonlinear disturbance observer to achieve precise trajectory tracking of robotic manipulators subject to model uncertainties and unknown time-varying disturbances. A dead-zone–based adaptive gain mechanism is introduced to dynamically adjust the control gain according to the deviation of the sliding surface, thereby enhancing robustness and reducing chattering. The proposed reaching law ensures fast, nonsingular, and adaptive convergence, suppressing high-frequency oscillations without compromising stability and the nonlinear disturbance observer enables real-time estimation and compensation of modeling errors, friction, and external disturbances for superior rejection. The semiglobal uniform …

Chaotic Artificial Bee Colony-Optimized Stacking Ensemble For Robust Multifault Diagnosis Of Wind Turbines, Veilraj Revathi, Solaimalai Jeyadevi, Madasamy Sudalaimani

Turkish Journal of Electrical Engineering and Computer Sciences

The complex electromechanical structure of wind turbines, along with harsh operating conditions, poses significant challenges for precise and robust fault diagnosis. To address this challenge, an ensemble multifault diagnostic framework based on an adaptive chaotic artificial bee colony (C-ABC)-optimized support vector machine (SVM) and gradient boosting machine (GBM) is proposed. In the proposed framework, data redundancy and overfitting are reduced through a two-stage hybrid filter-transformer-based feature reduction approach using ReliefF, followed by Principal Component Analysis. The chaos function of the proposed C-ABC maintains an adaptive balance between the exploration and exploitation phases, thereby preventing premature convergence, which is a common …