Digital Commons Network^™

Modeling The Greenland-Iceland-Faroe Ridge Using Integrated Geophysical Analysis, Zachary Clowdus

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

The Greenland-Iceland-Faroe Ridge (GIFR) is an area of significant geologic interest with anomalously thick crust related to enhanced melt generation from the interaction between the Mid-Atlantic Ridge and the Iceland hotspot. To the northeast of Iceland lies the Jan Mayen Microcontinent (JMMC), which is a continental fragment separated from Greenland during the opening of the Northern Atlantic. The overall extent of the JMMC, especially its southern boundary, remains poorly constrained. The crust beneath the GIFR is believed to be primarily of oceanic affinity. However, a recent discovery of felsic lavas in Iceland led to an alternative hypothesis that implies the …

The Urban Heat Island And Its Role In Shaping Convective Environments: An Observational Study, Benjamin W. Moll

Department of Earth and Atmospheric Sciences: Dissertations, Theses, and Student Research

The continued spread of urbanization and its well-documented effects on regional weather and climate necessitate further research. Urban environments are often warmer and drier than their rural surroundings. This trade-off between a warmer but drier environment could have a complex impact on deep convection and its initiation. Previous studies have noted significant changes in precipitation patterns around cities as well as changes to ongoing deep convection. Given the well-documented theory and past research, it is hypothesized here that urban areas have a significant impact on the PBL thermodynamics of convective environments. The urban heat island (UHI) component of the Micro …

Air Force Institute Of Technology Research Report 2023, Air Force Institute Of Technology

AFIT Documents

This report summarizes the research activities of the Air Force Institute of Technology's Graduate School of Engineering and the Graduate School of Logistics and Acquisition Management. It describes research interests and faculty expertise; list student theses/dissertations; identifies research sponsors and contributions; and outlines the procedure for contacting either school.

Efficient Algorithms For Mitigating Uncertainty And Risk In Reinforcement Learning, Xihong Su

Doctoral Dissertations

Reinforcement learning~(RL) studies the methodologies of improving the performance of sequential decision-making for autonomous agents and has achieved remarkable success in domains such as games, robotics, autonomous systems, finance, and healthcare. The Markov Decision Process~(MDP) is a mathematical framework for modeling agent-environment interactions in sequential decision-making problems. There are two primary sources of uncertainty in RL: epistemic uncertainty and aleatoric uncertainty. In RL, risk refers to the potential for an agent's policy to lead to undesirable outcomes, especially when the environment is uncertain. In many domains, researchers seek policies that maximize the objectives while mitigating the uncertainty and risk in …

Teachers' Evaluation And Reporting Orientations And Their Impact On Elementary Students' Motivation: A Secondary Analysis Of Ecls-K: 2011 Data, Melissa L. Lefebvre

Doctoral Dissertations

Few studies examine the specific component of teacher evaluation and reporting and its relationship with student motivation. Student motivation to learn and achieve is a fundamental element of academic success in school. Motivation has been linked to educational outcomes like curiosity, persistence, learning, conceptual understanding, and long-term achievement (Vallerand et al., 1992). Diminished motivation can lead to consequences such as higher dropout rates and increased anxiety. Research indicates that classroom climate and student-teacher relationships have the most significant impact on student motivation (Jansen et al., 2022). This dissertation explores the association of teachers’ evaluation and reporting practices with student motivation. …

The Baroclinic Route To Acoustic Streaming: Mechanisms Of Mean-Flow Generation And Heat Transport In Acoustically-Forced Stratified Fluids, Remil Mushthaq

Doctoral Dissertations

Standing acoustic waves in density-stratified fluids confined within horizontal channels generate fluctuating vorticity baroclinically, driving mean streaming flows that are much stronger and qualitatively distinct from classical Rayleigh streaming. Theoretical and numerical studies have shown that these baroclinic acoustic streaming flows can reach speeds comparable to the maximum speed of the oscillatory sound-wave field, enabling fully two-way wave/mean-flow coupling: the streaming flow modifies the background density field, which then alters the structure of the acoustic waves. Extending this framework, Massih (2022) quantified the heat-transfer enhancement arising from baroclinic streaming as a function of the channel aspect ratio (δ). The present …

University Of Nebraska At Omaha Commencement: December 2025, University Of Nebraska At Omaha

Commencement Programs

No abstract provided.

Political Discoveries In A Žižek Substack Project Critical Digital Studies, Edward Sankowski, Betty J. Harris

International Dialogue

This review essay analyzes Slavoj Žižek’s recent turn to Substack as a publishing platform, examining both his motivations and the philosophical and political implications of this medium for contemporary critical theory. Sankowski and Harris argue that Žižek’s Substack writings continue long-standing themes in his work—anti-capitalism, ecological crisis, updated Communism, and the cultural dimensions of ideology—while also revealing notable shifts, including heightened pessimism about historical progress and new reflections on environmental catastrophe. The authors assess the advantages and pitfalls of Substack for intellectual discourse, including its circumvention of traditional editorial “censorship,” its contribution to information glut, and its role in fostering …

Dancing With Logic: The Impact Of Integrating Dance In Teaching Introductory Computer Science Concepts On Student Understanding And Engagement, April Monk

Master's Theses

The purpose of this study was to investigate the effectiveness of dance-integrated pedagogical methods in enhancing the learning experiences of students in an introductory computer science course. In particular, the research aimed to measure the impact of creative movement on student comprehension, engagement, and perceptions of computer science. To guide this investigation, the study explored three research questions: Does integrating dance into lessons impact students’ comprehension of fundamental computer science concepts? How does dance integration affect student perceptions of both dance and computer science? And what elements of dance contribute to differences in comprehension between dance-integrated and traditional lessons? A …

N-Aryl Phenoxazines As Polymer Supported Photocatalysts, Mary Kathryn Hall

Master's Theses

In photosynthesis, the energy of sunlight is perfectly harnessed to facilitate the production of small molecules that are essential for plant life on earth. Inspired by this model of energy efficiency and simplicity, this work seeks to mimic that ability to use the energy in visible light to perform new and more efficient chemistries. Just like in photosynthesis, photocatalysts can act as chromophores absorbing light to excite electrons opening new pathways for previously untapped reactivity. Recent research has provided a wide range of small molecule reactions that are made possible or easier by the use of a photocatalyst. However, these …

What Does Genius Look Like? Investigating Brilliance Bias In Ai-Generated Images, Juliana Shihadeh, Margareta Ackerman, David Loker

Computer Science and Engineering

Text-to-image models, like Midjourney, DALL-E, and Stable Diffusion, have been shown to reinforce harmful biases, often perpetuating outdated and discriminatory stereotypes. In this study, we delve into a particular bias largely overlooked in generative image research: Brilliance Bias. By age 6, many children begin to internalize the damaging notion that intellectual brilliance is a male trait—a belief that persists into adulthood. Our findings demonstrate that popular image AI models possess this bias, further entrenching the misguided notion that exceptional intelligence is inherently male. This study calls for addressing brilliance bias in AI to ensure a more realistic representation of intellectual …

The Finite Fourier Transform: Realizing The Irreducible Complex Representations Of The Special Linear Group Over A Finite Field, Kelly Jane Lyle

Master's Theses

Classically, one of the central methods of understanding an abstract group has been through its representations in other structures, such as permutations of sets or linear transformations of vector spaces. As a detailed illustration of this method, we will focus on the matrix group SL(2,q), which consists of all invertible 2x2 matrices with entries in a finite field with q elements. We will outline the explicit construction of every (irreducible) complex representation of this group. Along the way we will also touch on foundational concepts in representation theory, such as characters and induced representations.

Categorizing Weight Growth Of Infants Born Before 32 Weeks' Gestation Using The 2023 Postnatal Growth Charts For Preterm Infants., Fu-Sheng Chou, Hung-Wen Yeh, Crystal Hsueh, Jing Zhang, Maria Fe B. Villosis, Karine Barseghyan, Ashwini Lakshmanan, Reese H. Clark

Manuscripts, Articles, Book Chapters and Other Papers

OBJECTIVE: To categorize growth and correlate growth categories with morbidities in infants born before 32 weeks of gestation.

STUDY DESIGN: This retrospective study categorized weight growth by correlating mean growth velocity (GV) with growth trajectory z-score changes (ΔGTZ ), as measured using 2023 Postnatal Growth Charts for Preterm Infants. The associations between weight categories and morbidities were assessed.

RESULTS: Weight gain of infants without morbidities was categorized into three groups based on correlating ΔGTZ with mean GV: slower ( ΔGTZ < -0.1), in-parallel ( ΔGTZ -0.1 to 0.3), and faster ( ΔGTZ > 0.3). The proportions of infants with and without morbidities in these categories were evaluated across two distinct cohorts, revealing similar …

Aku Research 2025, Office Of Research And Graduate Studies

Office of Research and Graduate Studies

• With dementia surging, BMI seeks tools for prevention
• The past, present and future of teaching in Pakistan
• Transforming educations with evidence
• Research influences national teacher development programme
• Redefining the migrant experience
• Study finds women are underrepresented in East Africa’s media
• Study identifies targets for treating drug-resistant tuberculosis
• Addressing extreme heat’s impacts on the vulnerable
• Colorectal cancer detection gets an AI boost
• Addressing the quiet crisis of women’s mental health
• The pandemic was especially hard for female health workers
• Advancing reproductive health in Pakistan
• A push for advanced practice nursing and midwifery
• Major study yields essential data on maternal health
• Saving …

A Learning‑Augmented Dynamic Programming Approach For Orienteering Problem With Time Windows, Guansheng Peng, Lining Xing, Fuyan Song Ma, Aldy Gunawan, Aldy Gunawan

Research Collection School Of Computing and Information Systems

Recent years have witnessed a surge of interest in solving combinatorial optimization problems (COPs) using machine learning techniques. Motivated by this trend, we propose a learning-augmented exact approach for tackling an NP-hard COP, the Orienteering Problem with Time Windows, which aims to maximize the total score collected by visiting a subset of vertices in a graph within their time windows. Traditional exact algorithms rely heavily on domain expertise and meticulous design, making it hard to achieve further improvements. By leveraging deep learning models to learn effective relaxations of problem restrictions from data, our approach enables significant performance gains in an …

Semi‑Supervised Graph Anomaly Detection Via Robust Homophily Learning, Guoguo Ai, Hezhe Qiao, Hui Yan, Guansong Pang

Research Collection School Of Computing and Information Systems

Current semi-supervised graph anomaly detection (GAD) methods utilizes a small set of labeled normal nodes to identify abnormal nodes from a large set of unlabeled nodes in a graph. These methods posit that 1) normal nodes share a similar level of homophily and 2) the labeled normal nodes can well represent the homophily patterns in the entire normal class. However, this assumption often does not hold well since normal nodes in a graph can exhibit diverse homophily in real-world GAD datasets. In this paper, we propose RHO, namely Robust Homophily Learning, to adaptively learn such homophily patterns. RHO consists of …

Modular And Combined Particle Swarm Optimization Algorithms For Extraterrestrial Resource Prospecting, Gregory Hatfield

Master's Theses and Capstones

The success of future crewed and autonomous space missions hinges on effectively utilizing in-situ resources available in the extraterrestrial environment to sustain missions and habitation. Prior to extraction of resources, such missions will require robust and efficient methods for extraterrestrial resource prospecting. However, traditional global optimization techniques struggle with the complex and non-convex search spaces inherent to mapping and identifying resource deposits on extraterrestrial surfaces.

This research addresses the resource prospecting problem by developing and evaluating novel variants of the Particle Swarm Optimization (PSO). Here, four novel algorithms, their variants, and four combined algorithms are rigorously tested and confirmed. The …

Suspending The Truancy Paradigm, Barbara Fedders, Lucy Carlson, Max Parker

Buffalo Law Review

In the aftermath of the COVID-19 pandemic, school absences have skyrocketed. While racially minoritized, disabled, and low-income students have historically been, and remain, most likely to experience absence, white and affluent students’ rates of attendance have also declined. To respond to this new universality of student absenteeism, some policymakers have begun to seek alternatives to what we term “the truancy paradigm.”

We define the truancy paradigm as the range of coercive and often punitive interventions deployed by states and school districts to enforce compulsory attendance statutes. This paradigm, we argue, wrongly assumes (a) that strict enforcement of compulsory attendance laws …

Modelling The Balance Axiom In Flow Theory: A Physiological And Computational Approach In Steam Education, David Antonio Rosas, Natalia Padilla-Zea, Daniel Burgos

Artículos científicos

This paper addresses the axiom of balance in Flow Theory from a physiological-and-groupbased approach by a quasi-experimental study using mixed methods across two action– research cycles, each divided into pre-test, intervention, and post-test phases. The study involved 56 students in two control and two experimental groups attending robotics and design STEAM courses in natural settings, wearing Polar H10 bands. Each group participated in nine one-hour sessions, with the same instructor. While flow in control groups was measured with intuition-based teacher actions, in experimental groups the teacher received support from a synchronous physiological flow advisory system. Data from these groups were …

Issue 477 December 2025, The Local Voice

The Local Voice

Featured Articles: "Proud Larry’s Owners Support Southern Culture."; "Families Anonymous Established in Water Valley."; "The View From The Balcony: The Worst Christmas Ever."

The Hunga Volcanic Eruption Atmospheric Impacts Report, Simon Carn

Michigan Tech Publications

No abstract provided.

Impact Of Thermodynamic Factors And Intrinsic Properties On Crystallization Behavior And Physical Properties Of Edible Fats, Nabila Anjum

All Graduate Theses and Dissertations, Fall 2023 to Present

Crystallization behavior of three edible fats: interesterified soybean oil (IESBO), interesterified palm olein (IEPO), and fully hydrogenated palm kernel oil (FHPKO) were explored to understand how this process is affected by different factors. The study focused on how the chemical composition of these fats affects their behavior like how much time they require to be crystallized at a certain temperature. By using different scientific methods, how quickly each fat began to crystallize and how much energy it took to start the process was measured. Among the methods used, Gompertz equation, a mathematical model, gave the most consistent and reliable results …

Implications Of The Attenuated Allee Effect On Population Dynamics, Dana Strong

All Graduate Theses and Dissertations, Fall 2023 to Present

The Allee effect is an ecological phenomenon characterized by a per capita growth rate that increases as the population size increases in the context of low population density. The Allee effect can lead to rapid extinction events. Consequently, ecologists can attempt to control the strength of the Allee effect to help increase the population (in the case of endangered species) or decrease the population (in the case of parasites or pests).

This research aimed to study not the strength of the Allee effect, but the intensity of the Allee effect, or how rapidly cooperation between individuals causes the per capita …

Revised Draft Final 2022 Unreclaimed Sites Sampling: Ur-12 Site Evaluation Summary Report, Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Quantifying Nuanced Differences In Hand Dexterity Between The Dominant And Nondominant Hands Of Healthy, Right-Handed, Young Adults, Brian J. Conway, Léon Taquet, Timothy F. Boerger, Kaitlin Goetschel, Kate B. Krucoff, Sergey Tarima, Brian D. Schmit, Max O. Krucoff

Biostatistics Faculty Publications

When individuals present with hand injuries, clinicians often use the contralateral hand as an internal control. However, subtle differences in baseline dexterous abilities between the dominant and nondominant hands are poorly understood. To address this gap, here we quantified such differences, measured as independence (individuation) and smoothness of finger movements. A cohort of 47 right-hand-dominant healthy adults (22 males and 25 females) moved each finger independently 10 times, while joint angle data were tracked with a dataglove (CyberGlove III, CyberGlove Systems, San Jose, CA). Each finger’s performance was compared with its counterpart on the opposite hand using Wilcoxon-signed rank tests. …

Exploring The Perceived Impact Of Instructional Coaching On K-12 Staff In A Midwestern State Region, Viloshinee Murugan

Dissertations

This study looked at how K–12 educators in one Midwestern state region perceived the impact of instructional coaching on their instructional practices. The purpose of this quantitative study was to determine how the type and frequency of coaching predicted the educators’ self-reported improvements in instruction. 307 educators who had participated in instructional coaching within the past five years completed the survey measuring three coaching types, content-focused, pedagogical-focused, and data-focused, and the frequency of one-on-one coaching interactions. Descriptive analyses identified the prevalence of each coaching type and the ways that the educators rated their growth, while a multiple regression tested the …

An Analytical Assessment Of Sentiment Analysis Trends And Methods Through Systematic Review And Topic Modeling, Chelsey Hill, Fatima Irshaidat, Marina Johnson, Jorge Fresneda

Department of Information Management and Business Analytics Faculty Scholarship and Creative Works

Sentiment Analysis (SA) applies Artificial Intelligence (AI) and Machine Learning (ML) techniques to identify and interpret opinions, emotions, and sentiment polarity in text data. This study presents a systematic literature review of SA research published between 2012 and 2024 using a dataset of 14,482 journal articles indexed in Scopus. The primary objective of this research is to provide a data-driven overview of the evolution of SA research, offering insights into methodological evolutions, emerging application areas, and the growing influence of AI in the field. The research findings reveal a multidisciplinary growth of SA research, with increasing contributions from Health Sciences …

Alaska Native Disparities In Alaska Jails And Prisons. An Exploratory Study And Descriptive Analysis, Brad A. Myrstol, Cheryl Jones, Rus'sel Sampson, Bri Moffat

AJiC Reports

This report presents an exploratory study of racial disparities in Alaska’s correctional system, combining a review of national research with an analysis of Alaska Department of Corrections (ADOC) booking data.

Factors Shaping Data-Based Decision-Making: The Role Of Self-Efficacy, Anxiety, And School Culture In Mississippi’S State Tested Subjects, Cymone E. Bradford

Dissertations

This quantitative study examined the factors influencing Mississippi state-tested teachers’ engagement in data-based decision-making (DBDM). The purpose of the study was to explore how self-efficacy, anxiety, and school culture shape teachers’ experiences using data to guide instruction. A researcher-developed instrument measuring four constructs self-efficacy in data interpretation, anxiety related to DBDM, self-efficacy and engagement in DBDM, and school culture and DBDM was administered to Mississippi teachers of state-tested subjects. Descriptive statistics, a one-way ANOVA, correlation analysis, and multiple regression were used to analyze the data.

Results revealed significant differences in demographic characteristics of age and frequency of data use when …

Exploring Internship’S Role In Non-Virtual Social Capital Development: A Gen Z Student Perspective, Christina M. Galli

Dissertations

Gen Z students often complete internships as they prepare to enter the workforce (Maloni et al., 2019; Shtembari & Elgün, 2023). However, because the population relies heavily on digital technology to develop social relationships, Gen Z students may not have the social skills to develop non-virtual social capital (Fernandez et al., 2023; Henry & Shannon, 2023; Osorio & Madero, 2024). Existing research focuses on Gen Z individuals as students (Maloni et al., 2019; Pichler et al., 2021; Shtembari & Elgün, 2023). However, existing literature lacks specifications about Gen Z students’ strategies for gaining non-virtual social capital through internship experiences. This …