Leveraging Weekly Snow Cover Time Series For Improved Glacier Monitoring And Modeling, Rainey Aberle, Ellyn M. Enderlin, David R. Rounce, Shad O'Neel, Brandon Tober, Alexandra Friel

Boise State University Publications and Presentations

Seasonal snow and ice melt strongly influence glacier mass balance, yet sparse sub-annual observations limit our understanding of seasonal dynamics. Here we construct and analyze weekly snow cover time series for 200 glaciers across western North America from 2013 to 2023 using an automated image processing pipeline. Snow cover varied widely across the region: snow minima timing varied with latitude — from August from 62 to 64N to October from 48 to 50N—and accumulation area ratios ranged from near-zero to 0.92 (median of 0.52). A comparison of snowlines from observations and the PyGEM glacier mass balance model revealed seasonally evolving …

Exploring Exemplary Leadership Practices Of Elementary Principals, Latoya R. Gray

Walden Dissertations and Doctoral Studies

There is insufficient understanding regarding the educational leadership practices that have enabled one elementary school, out of 23, to achieve continuous school improvement in ELA and mathematics in Grades 3–5 over 3 consecutive academic years. Although all schools in the district implemented a uniform curriculum, the study site consistently increased the percentage of students scoring proficient or above in both subjects during 2022, 2023, and 2024, as measured by the state end-of-grade assessment. This qualitative single-case study explored how an elementary principal in a suburban Georgia district achieved continuous improvement through distinctive leadership practices. Grounded in Kouzes and Posner’s framework …

"...Anything My Friend Shares, I Would Want To Support Them By Clicking On It": Co-Designing Story-Based Interventions Against Clickbait For Teenagers, Ankit Shrestha, Audrey Flood, Bryson Hackler, Mahdi Nasrullah Al-Ameen

Computer Science Student Research

Teenagers' lack of digital sophistication and cyber hygiene makes them vulnerable to social engineering attacks, especially as they start using social media. Clickbait, one of such attacks, is primarily performed through social media to trick users into clicking on malicious links. With teenagers' increasing use of social media, clickbait poses a substantial threat to their online safety. The existing online safety measures for teens mainly focus on parental mediation, which can be perceived as restrictive and privacy-invasive. To this end, researchers recommended empowering teens to deal with online risks. In order to design such interventions for clickbait, we conducted co-design …

Mode Engineering And Functional Enhancement In Piezoelectric-On-Silicon Mems Resonators With Magnetic Field Sensing Applications, Ugur Guneroglu

USF Tampa Graduate Theses and Dissertations

This dissertation significantly advances the field of micro-electro-mechanical systems (MEMS) resonators by exploring novel post-fabrication tuning techniques, electrode configuration effects, and innovative sensor applications for thin-film piezoelectric-on-silicon (TPoS) resonator devices. Driven by the increasing demand for tunable, high-precision and robust MEMS resonators in radio frequency (RF) applications such as sensing, timing, and filtering, this research aim to provide foundational knowledge and practical solutions for overcoming existing technological limitations. The dissertation is organized into three main research thrusts, each addressing critical challenges and opportunities in the design, fabrication, and application of TPoS MEMS resonators.

The first research thrust investigates an innovative …

Hyperspectral Band Selection Via Heterogeneous Graph Convolutional Self-Representation Network, Junde Chen, Wenzhao Li, Surendra Maharjan, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Hyperspectral image (HSI) band selection (BS) plays a crucial role in HSI dimensionality reduction, aiming to identify a representative subset of bands with minimal redundancy. However, conventional BS approaches primarily operate in the Euclidean domain, often overlooking the structural characteristics of pixels and spectral bands, such as spatial continuity and spectral dependencies. In addition, they handle each HSI as an integrated unit to harness implicit spatial information, disregarding spatial distribution variations across different homogeneous regions. To fully leverage structural information, this study introduces a novel BS method, termed the dual heterogeneous graph convolutional network with enhanced self-representation (ESR-HGCN), for HSI …

The People's Rivers: Early Environmental Regulation And The Oregon State Sanitary Authority, Avery Morgan Fischer

Dissertations and Theses

The environmental movement in Oregon can trace its origins to the turn of the twentieth century, where citizen activism and initiative led to the creation of an early environmental regulatory agency, the Oregon State Sanitary Authority. This creation established that the State of Oregon had a duty to preserve, not just the navigability or usability of rivers and waterways, but the quality and purity of its water. The Oregon State Sanitary Authority played an active role in maintaining and protecting the environment as a mandate of the people, and throughout its thirty-year existence battling industrial polluters, reluctant municipalities, and disinterested …

Advancing Eye-Gaze Writing Systems With Computer Vision, And Dynamic Text Suggestions, Walid Abdallah Shobaki

Theses and Dissertations

Eye gaze writing, a novel interaction modality, has the potential to revolutionize communication for individuals with limited mobility. In our research, we investigated the deep learning algorithms efficiency for real-time eye gaze writing. We have compared many algorithms' performance in many computer vision areas, such as object detection in which we used first YOLOv8, the second algorithm SSD, and the third algorithm is Faster R-CNN, the second computer vision area is the image segmentation in which we used DeepLab and U-Net, and the last computer vision area is self-supervised learning we have used SimCLR algorithm. By evaluating these models on …

Research And Education In Robotics: A Comprehensive Review, Trends, Challenges, And Future Directions, Mutaz Ryalat, Natheer Almtireen, Ghaith Al-Refai, Hisham Elmoaqet, Nathir Rawashdeh

Michigan Tech Publications

Robotics has emerged as a transformative discipline at the intersection of the engineering, computer science, and cognitive sciences. This state-of-the-art review explores the current trends, methodologies, and challenges in both robotics research and education. This paper presents a comprehensive review of the evolution of robotics, tracing its development from early automation to intelligent, autonomous systems. Key enabling technologies, such as Artificial Intelligence (AI), soft robotics, the Internet of Things (IoT), and swarm intelligence, are examined along with real-world applications in healthcare, manufacturing, agriculture, and sustainable smart cities. A central focus is placed on robotics education, where hands-on, interdisciplinary learning is …

A Generalization Of Franklin’S Partition Identity And A Beck-Type Companion Identity, Gabriel Gray, David Hovey, Brandt Kronholm, Emily Payne, Holly Swisher, Ren Watson

School of Mathematical & Statistical Sciences Faculty Publications

Euler’s classic partition identity states that the number of partitions of n into odd parts equals the number of partitions of n into distinct parts. We develop a new generalization of this identity, which yields a previous generalization of Franklin as a special case, and prove an accompanying Beck-type companion identity.

Mathematical Modelling Of Green Energy Storage Capacities With Different Demand Scenarios, Muhammad Anas Maqbool, Pablo Borja Rosales, Md Jahir Rizvi, Yeaw Chu Lee

School of Engineering, Computing and Mathematics

The climate crisis has necessitated immediate and extensive research into sustainable, reliable, and cost-effective energy sources. The global energy shift has accelerated the integration of renewables with various industries and energy storage systems to address the challenges posed by the intermittent nature of renewable energy sources. The UK's hydrogen strategy and zero-emission shipping mission demonstrate promising progress, including the development of green hydrogen and green ammonia production and storage. However, renewable-hydrogen or ammonia storage systems present challenges, including determining effective storage capacity and meeting extensive energy requirements. The authors of this study have previously explored the prospects and feasibility of …

An Example Where Taking An Additional Observation Doesn't Help, Stephen Portnoy, James Stein

Mathematics and Statistics Faculty Publications and Presentations

It seems intuitively obvious that no part of a random sample should be discarded. However, for most students, the first formal justification of this idea is when sufficiency is introduced in an introductory statistical theory course. Students are often left with the idea that conditioning on the sufficient statistic always improves inference, even though the formal theory only says that for any statistical procedure there is one depending on the sufficient statistic that is no worse. Here we present an example on comparing two coins based on two consecutive tosses, where the optimal probability of guessing which coin has the …

Dose Characterization Of Galactic Cosmic Rays In The Human Brain: A Phits-Based Study With A Segmented Anatomical Phantom, Shanice N. Manning

LSU Master's Theses

Astronauts aboard the International Space Station (ISS) are chronically exposed to a complex space radiation environment composed of galactic cosmic rays (GCR), solar particles, and Earth's trapped radiation. These high-energy particles interact with spacecraft shielding, producing secondary particles that can penetrate inside and deposit energy in sensitive tissues. Although animal studies have been useful in assessing space radiation risks, anatomical and physiological differences limit their applicability to human anatomy especially neuroanatomy. To address this gap, we developed a computational framework to model radiation dose distribution within the human brain using Monte Carlo simulations in Particle and Heavy Ion Transport code …

Quasistatic Peridynamics, Existence Of Unique Solution In The Presence Of Damage, Nuwanthi N. Samarawickrama

LSU Doctoral Dissertations

A mathematical model for damage propagation based on nonlocal potentials is developed within the framework of peridynamics. This model is applied to simulate damage evolution in cyclically loaded structures. By neglecting inertial effects, a well-posed quasistatic formulation for cyclic loading is obtained.\\ The resulting equation is expressed as a nonlocal and nonlinear integral operator that couples damage evolution to the deformation field.\\ This coupling occurs through the product of a damage factor and the derivative of a force potential. The damage factor ranges between zero and one, where one represents undamaged material and zero indicates complete damage.\\ It serves to …

A Comparative Case Study Of Mentoring Practices By National Board Certified And Non-Certified Teacher Mentors, Bethany Mcclure

LSU Doctoral Dissertations

As preservice teacher candidates engage in field experiences that shape their development of teacher identity, it is important to examine their perceptions of the mentoring process. This study explored how preservice teacher candidates construct their own knowledge about mentoring as a process, as well as explored the perceptions of mentor teachers, both National Board Certified, and non-National Board Certified, as they facilitated the learning and growth of their mentees. Many prior studies on the mentoring process exist, however, a gap in the literature that was identified and explored through this study included the impact that National Board Certified Teachers have …

Digital Forensics And Ai: Artifact Analysis And Using Ai In The Forensics Domain, Clinton Joel Walker

LSU Doctoral Dissertations

Digital Forensics (DF) is a field of forensic science focusing on the acquisition, authentication, and analysis of digital evidence while maintaining integrity of that data. DF analysts use forensic tools to parse large volumes of data for investigations and depend on them for identification of pertinent digital evidence in vast amounts of data. Keeping up with innovations and ever-expanding data volumes is a constant challenge for these investigators. The prevalence of Artificial Intelligence (AI) in everyday computing is rapidly expanding, with the use of Machine Learning (ML) and Large Language Models (LLM)s becoming increasingly commonplace. Innovations in technology bring new …

Towards Leveraging Social Media Data For Fostering Collaborations Among Non-Profits, Monazil Chowdhury

LSU Doctoral Dissertations

Nonprofit organizations serve a crucial role in tackling a wide range of significant social, environmental, and economic issues. But it is often hard to get a clear picture of their work because their information is spread out and it is difficult to see how they are collaborating. To address this issue we developed a web-based tool to collect scattered data—from a variety of sources, such as the IRS, social media, and the Census, into one easy-to-use resource. The tool begins by taking IRS records and geocoding each nonprofit’s physical address With its coordinates. It then retrieves census tract information from …

A Performance Guide To Christos Hatzis’ Songs On Poems By Sappho, Maria E. Thomas

LSU Doctoral Dissertations

Abstract

Christos Hatzis’ Three Songs of Poems by Sappho (1999) represents a compelling yet understudied contribution to contemporary art song repertoire. This study examines Hatzis’ settings of Sappho’s Fragments 1, 16, and 44, offering both scholarly analysis and practical performance guidance to make the cycle more accessible to singers and scholars. Through musical and textual analysis, this project reveals how Hatzis bridges ancient Greek lyric poetry with modern compositional techniques. The study demonstrates his innovative approach to word painting, rhythmic flexibility, and extended tonality, showing how these elements honor Sappho’s intimate first-person voice while creating a distinctive 20th-century art song …

Euler’S Formula For General Graph Embeddings, Doug Bauer, Linda Lesniak, Edward Schmeichel

Faculty Research, Scholarly, and Creative Activity

Consider an embedding of a graph G(v,e) with v≥1 vertices and e≥0 edges into a closed surface s, with r resulting regions. If G is connected and every region is a 2-cell (a so-called 2-cell embedding), Euler’s formula is the relation v−e+r=χ(s), where χ(s) denotes the Euler characteristic of s. Here we give a generalization of Euler’s formula which applies to any embedding (2-cell or not) of any graph (connected or not) into any surface (orientable or not), with several interesting corollaries. One rather striking corollary is the converse of Euler’s formula itself: If an embedding of a graph G(v,e) …

Intercultural Communication

Communication Research Trends

For the survival and development of important human values, the study of intercultural communication may be one of the critical areas of communication research. One has only to witness "Kojak" and "Starsky and Hutch" bouncing off satellites into the intimacy of minds and homes in cultures of India and Thailand to realize this. Vendors of communication technology are rushing to pen a Pandora's box of influences which may erode cultural ideals created over thousands of years. Once again we are not prepared to cope with the human and social implications of communication technology.

But the focus of research in intercultural …

The Use Of The Media For Formal And Non-Formal Education

Communication Research Trends

Dear Reader,

With some risk of exaggeration, it is said that the media are a major factor in the contemporary social construction of reality, If something isn't in print, radio, TV or other media, it does not "exist" socially and culturally. To the extent that this is true, with the medium of this CSCC NEWSLETTER for our friends and associates as well as colleagues in the field of communication, the CENTER FOR THE STUDY OF COMMUNICATION AND CULTURE begins to exist.

In this first issue it seems appropriate to state why we exist -- our orientation, objectives, and functions. We …

Review Of Averting The Digital Dark Age: The Future Of Digital Literary Heritage, Rebecca L. Hastings

Journal of Contemporary Archival Studies

In Averting the Digital Dark Age: How Archivists, Librarians, and Technologists Built the Web a Memory, Ian Milligan explores the efforts of technologists and information professionals to develop means of preserving information shared on the World Wide Web. The web lacks a built-in archiving function, raising fears of a “digital dark age,” an unprecedented gap in the historical record as information sharing via the web increases. Milligan tracks the development of web preservation debates and activities from the anxiety and turmoil of the early to mid-1990s to the coming of age of web preservation in the wake of the …

Following Painting's Quiet Call To Adventure, Kelly Allen

The Open Journal of Occupational Therapy

Yael Goverover, OTR/L, Ph.D., professor and post-professional program director of occupational therapy at New York University at Steinhardt (NYU), provided the cover art for the summer issue of the Open Journal of Occupational Therapy. This oil painting on canvas, titled, Still Life, 2024, features an arrangement of everyday objects with vibrant tones of gold, yellow, orange, and green found in the vase, and a coffeepot, fruits, and botanicals set against a backdrop of scarlet and striped patterned fabrics. She created this piece while on sabbatical in Israel as she studied under the tutelage of a seasoned oil …

Use Of Podcasts As Emerging Technology In Occupational Therapy Education, Abbigail Kubiak, Karen Jacobs, Varsha S. Kulkarni, Maruška Vizek

The Open Journal of Occupational Therapy

Podcasts are an emerging modality with a developing evidence base to reinforce their use in educational settings; in particular, to support knowledge retention and introduce topics. This research demonstrates the potential of podcasting in an educational context. Podcasts were used to educate occupational therapy (OT) students about emerging and innovative OT career opportunities. A series of 13 standardized 20- to 30-min podcasts featuring occupational therapists in emerging and innovative practice areas (E/IPA) globally were developed. In each podcast, the occupational therapist described implicit and explicit aspects of their career experiences. The podcasts were piloted in an entry-level OT doctoral course …

Thermal Analysis And Experimental Design Of A Cryogenic System For Low-Noise Amplifiers, Tapuwa Makombore, Tunde Bello-Ochende

Seatific Journal

This study details the design and characterisation of a cryogenic test facility for low-noise amplifiers (LNAs) used in radio astronomy. Following a review of available cooling and vacuum pumping methods, a dedicated test system was designed and manufactured to meet specific performance requirements. Mathematical models were developed to predict the thermal and pressure behaviors within the cryostat, enabling accurate assessments of the system’s cooling efficiency. Experimental results showed that the first and second stages reached minimum temperatures of 11 K and 38 K, closely aligning with the calculated values of 13 K and 42 K, respectively. Vacuum testing across the …

Analysis Of The Performance Of Two Moving Mesh Methods Applied To Semi-Submerged Structures With A Rotational Dof, Yanca Da Cunha Pereira, Paulo Roberto De Freitas Teixeira, Eric Didier

Seatific Journal

Numerical analyses of a buoy with a rotational DOF and a Pendulor-type wave energy converter subjected to incident regular waves are carried out. The ANSYS Fluent® software, based on the Reynolds Averaged Navier-Stokes equations, is used for the free surface flow simulations. The k–ω SST turbulence model and the Volume of Fluid technique, to consider the two-phase flow, composed of air and water, are employed. The performance of two moving mesh methods are analyzed, the dynamic mesh (DM) and sliding mesh (SM) methods. The numerical results of the free decay test and the incident wave over the buoy, obtained by …

A Study Of Machine Learning Techniques In Solving Biochemical And Chemical Problems, Kenneth Micheal Plackowski

Chemistry and Chemical Biology ETDs

Data-driven approaches to solving problems in biology and chemistry require utilization of reliable techniques and machine learning algorithms are the modern reliable approach. This work presents three problems that involve use of supervised learning techniques when classification is the goal and unsupervised learning techniques when global data representation is the goal.

In the first problem, we demonstrate the use of unsupervised clustering techniques, self-organizing maps and K-means, to ascertain analyte detection capabilities of carbon nitride dots. In the second problem, we add scalability features to a functional group classification model applied to infrared data and evaluate its ability to inform …

Nanoporous Gold Nanoparticles And Model Membrane Systems Applied To The Study Of Lipopolysaccharide (Lps), Dhanbir Lingden

Dissertations

Lipopolysaccharide (LPS), a key structural component of Gram-negative bacteria, is a major trigger of sepsis and septic shock, the systemic inflammatory conditions responsible for millions of deaths annually. Even at concentrations as low as 1 ng/mL, LPS can activate the immune system and initiate inflammatory cascades. According to the Global Burden of Disease Study 2017, sepsis accounted for 48.9 million cases globally, with 11 million deaths, emphasizing the urgent need for improved diagnostic and therapeutic strategies.

Accurate and rapid detection of LPS is vital for early intervention and improved clinical outcomes. While traditional detection methods are still widely used, modern …

Design & Development Of Efficient Biometric Authentication And Key Agreement Schemes For Wireless Body Area Network, Aarthi S

Theses and Dissertations

Wireless Body Area Networks (WBANs) play a vital role in continuous health monitoring, where sensitive biometric and physiological data must be protected from privacy breaches and emerging quantum-based threats. Conventional security mechanisms are often inadequate due to resource constraints, scalability issues, and vulnerability to advanced attacks. To address these challenges, this research proposes a lightweight, scalable, and future-proof security framework tailored for WBAN applications, focusing on secure communication, privacy preservation, and quantum resilience.

An anonymous Certificate-Based Signcryption–Mutual Authentication and Key Agreement (CBS-MAKE) protocol is introduced to secure extra-body communications while ensuring patient anonymity. The protocol integrates Elliptic Curve Cryptography with …

Theoretical And Experimental Investigation Of Liquid-Liquid Phase Separation: Characterizing Elastin-Like-Polypeptides, Adam D. Quintana

Chemical and Biological Engineering ETDs

This dissertation develops and validates a semi-empirical Flory–Huggins-based interaction model, combined with Cahn–Hilliard simulations, for predicting multi-component liquid–liquid phase separation (LLPS) in elastin-like polypeptide (ELP) systems. Equilibrium droplet compositions, measured using a PDMS-based microfluidic device, enabled direct parameterization of interaction coefficients. The model was applied to generate phase diagrams and assess composition dependence in ternary mixtures. Cahn–Hilliard simulations were conducted to explore potential phase morphologies under different interfacial conditions. Multi-component Lattice Boltzmann simulations were implemented to model droplet morphology evolution under varying interfacial and diffusive parameters, reproducing experimentally relevant morphologies. A three-phase wetting study revealed conditions for selective wetting and …

How Multi-Scale Modeling Can Help Examine Social Determinants Of Health And Resulting Disparities, Kyoko Yoshida, Elsje Pienaar, Shalanda A. Bynum, Naomi Chesler, Mitchel J. Colebank, Jessie Heneghan, Nadra Tyus, Jasmine Miller-Kleinhenz, Bruce Y. Lee

Faculty Publications

Social determinants of health (SDOH) are the conditions in which people live, work, and play, and the wider set of factors (e.g., social and economic systems and policies) that shape a person’s daily life. SDOH can differ significantly across communities and populations, having positive impacts for some and negative impacts for others. Ultimately, this results in differences in health and disease distribution, that are known as health disparities. Despite the known impacts of SDOH and calls to characterize, address, reduce, and eliminate health disparities, they persist and, in some cases, have worsened. To address this challenge, a session at the …