Digital Commons Network^™

Computer Organization With Arm64, Seth D. Bergmann

OER Textbooks

This book is intended to be used for a first course in computer organization, or computer architecture. It assumes that all digital components can be constructed from fundamental logic gates.

The book begins with number representation schemes and assembly language for the ARM-64 architecture, including assembler directives and floating point instructions. It then describes the machine language instruction formats, and shows the student how to translate an assembly language program to machine language.

There is then an introduction to boolean algebra and digital logic, followed by a description of the memory hierarchy, including cache memory, RAM, and virtual memory.

The …

Torso Synthetic Ct Generation By Integrating Deep Learning And Segmentation For Fdg-Pet/Mr Attenuation Correction, Jin Uk Heo, Robert S. Jones, Theodore Higgins Arsenault, Jennifer Dorth, Tithi Biswas, Raymond F. Muzic Jr

Faculty Scholarship

Introduction. Positron Emission Tomography/Magnetic Resonance (PET/MR) offers benefits over PET/CT including simultaneous PET and MR acquisition, intrinsic spatial registration accuracy, MR-based functional information, and superior soft tissue contrast. However, accurate attenuation correction (AC) for PET remains challenging as MR signals do not directly correspond to attenuation. Using deep learning algorithms that learn complex relationships, we generate synthetic CT (sCT) from MR for AC. Our novel method for AC, merges deep learning with threshold-based segmentation, to produce an AC map for the entire torso from Dixon MR images, which heretofore has not been demonstrated. Method. Twenty-nine prospectively collected, paired FDG-PET/CT and …

Interpretable Machine Learning For Cardiovascular Risk Prediction: Insights From Nhanes Dietary And Health Data, Md Ahiduzzaman, Md Nahid Hasan

Faculty Publications

Background: Cardiovascular diseases (CVD) are one of the leading global causes of death, which requires an accurate early prediction. This study aimed to develop transparent machine learning (ML) models using National Health and Nutrition Examination Survey (NHANES) data from 2017–2023 to predict CVD risk based on dietary and health factors.

Methods: We analyzed data from 12,382 adults (aged 18 and older) from NHANES 2017–2023, including 41 dietary, anthropometric, clinical, and demographic variables. Recursive Feature Elimination (RFE) was used to select an optimal subset of 30 predictors. To address substantial class imbalance in the outcome, we applied the Random Over-Sampling Examples …

Parameterizing Ion–Lipid Interactions From Local Clusters To Reproduce Experimental Bulk Properties Of Lipid Bilayers, W. Matthew Saunders

USF Tampa Graduate Theses and Dissertations

Phospholipids are the main component of cell membranes, providing a delimiting boundary for cells from their environments or from their organelles from the cytosol. Thiscompartmentalization allows cells to maintain quite different solutions within their cells and organelles, including different mixtures dissolved ions. Consequently, these membranes are constantly flanked by complex mixtures of salts at varied concentrations. To study membrane structure, one cannot neglect the contribution of the salts in the local solution. Ions perturb bilayer structure via specific interaction with the phospholipids, primarily with the headgroups. Experimental studies of these systems are somewhat at odds — scattering experiments with different …

Exploring Teachers’ Perspectives On Digital Storytelling As A Tool In Saudi Kindergarten Classrooms: A Qualitative Multicase Study, Ouhuud Alahmdi

USF Tampa Graduate Theses and Dissertations

Saudi Arabia’s Vision 2030 emphasizes the importance of integrating digital technologies into early childhood education, with the goal of developing children’s skills for the 21st century from an early age and preparing them for the future. Digital storytelling is an effective and interactive multimodal strategy to enhance young children’s skills in the classroom. However, there is limited research examining how kindergarten teachers design and utilize digital storytelling in their classrooms. This qualitative multicase study aimed to explore how Saudi kindergarten teachers perceived and implemented digital storytelling as a tool to promote engagement and comprehension among young children. The study focused …

Faculty Senate Archive: Finding Aid, Bethany Latham

Finding Aids

This collection is comprised of digitized minutes, resolutions, and other documentation related to the JSU Faculty Senate. Some of the items are digital only; others are physical collection items that have been digitized. Some of the materials were originally stored in the Alabama Gallery filing cabinets.

Access the Faculty Senate Archive

Enhancing Turbulent Mixing And Microphysical Uniformity In A Tall Convection-Cloud Chamber Through Idealized Heterogeneity Of Boundaries, Lois Thomas, Fan Yang, Aaron Wang, Mikhail Ovchinnikov, Kyle Pressel, Raymond Shaw

Michigan Tech Publications

A large convection cloud chamber has been proposed for exploring aerosol–cloud–drizzle interactions under well‐controlled turbulent conditions. Recent theoretical and numerical studies suggest that ac on vection cloud chamber with two heated and two cooled sidewalls can significantly enhance the liquid water content and thus benefit drizzle initiation. However, a chamber with such a sidewall configuration develops stable stratification and extremely weak turbulence therein. In this study, we conduct large‐eddy simulations of a tall convection chamber with five different sidewall configurations consisting of alternating warm and cold patches. For each configuration, the total surface area of warm patches equals that of …

2025 November 6 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Site Specific Reliability-Targeted Snow Loads And Winter Wind Parameters Across The World, Brennan Bean, Nicholas Brimhall, Bikram Bhusal, Marc Maguire, Maha Moussa

Mathematics and Statistics Faculty Publications

This report presents a framework for estimating Reliability Targeted Snow Loads (RTSLs) and Winter Wind Parameters (WWPs) at locations outside the Conterminous United States (OCONUS). The methodology integrates ground-based in-situmeasurements with gridded global climate products to generate spatially continuous RTSL estimates for nearly any location in OCONUS. RTSLs are computed at qualifying in-situ stations, and predictive models relating gridded climate products to in-situRTSLs enable estimation at locations lacking direct measurements. This report describes the development of the in-situ annual maximum snow load database, the construction of global gridded climate summaries, the estimation of site-specific RTSLs and Service Targeted …

Montana Kaimin, November 6, 2025, Students Of The University Of Montana, Missoula

Montana Kaimin, 1898-present

Student newspaper of the University of Montana, Missoula.

The Transformational Moments Of Online Students In Doctoral Programs: A Lived Experience, Nicole Reid

Electronic Theses and Dissertations 2020 - Present

The purpose of this qualitative phenomenological study was to explore the transformational learning experiences of students enrolled in online doctoral programs. Guided by Mezirow’s transformative learning theory, this study addressed the research questions: How do students in online doctoral programs experience transformative moments at public institutions in the United States? How is the curriculum connected to the students’ transformational experiences in online doctoral programs at public institutions in the United States? Semi-structured interviews were conducted with online doctoral students to capture their lived experiences across programs.

Analysis revealed three key findings. First, participants described how program structures, including curriculum design, …

Studies Of Seismicity In The Alaska Subduction Zone And Antarctica, Patrick Matulka

Arts & Sciences Graduate Student Theses and Dissertations

This dissertation utilizes multiple methods of earthquake detection, relocation, and characterization to investigate the patterns of seismicity along the Alaska subduction zone and Antarctica. The studies of the Alaska subduction zone are built on the data collected during the Alaska Amphibious Community Seismic Experiment (AACSE) that deployed temporary land and ocean-bottom seismometers along the Alaska Peninsula and offshore regions from May 2018 to September 2019. Using seismic arrivals at those stations, as well as a combination of other land-based networks, I relocated 1307 earthquakes in the incoming plate and trench slope regions of the Alaska subduction zone with an absolute …

Middle School Counselors' Perceptions Of Meeting Career Counseling Needs Of Middle School Students, Mario Oscar Garcia

USF Tampa Graduate Theses and Dissertations

This dissertation examined middle school counselors' perceptions of their effectiveness in delivering career counseling to students. Middle school is a pivotal time for career exploration and planning, yet disparities in guidance persist, particularly for students not on a traditional college pathway. Guided by the American School Counselor Association (ASCA) National Model, this study employed a survey method. An online survey developed by the researcher assessed counselors' time allocation across academic, career, social-emotional, and duties unrelated to their essential school counseling roles. Additionally, the survey inquired about counselors’ perceived effectiveness in meeting the career needs of diverse student populations (advanced academic, …

Geographic Patterns Of Educational Achievement: A Methodological Case Study Of Regression Modeling Approaches, Leokadia Lipien

USF Tampa Graduate Theses and Dissertations

This methodological case study introduces a novel approach to investigate the impact of student, teacher, and geographic factors on the academic achievement of virtual school students in Florida. Traditional linear regression models, and even multilevel models, often overlook spatial dependencies, which can lead to biased estimates and incomplete inferences. This research addresses this limitation by comparing a cross-classified multilevel model (CCMM) with a novel cross-classified spatial model (CCSM) that incorporates coefficients from geographically weighted regression (GWR). Utilizing secondary data from a statewide virtual school, including student demographics, teacher characteristics, and standardized test scores, along with U.S. Census Bureau data, the …

Thermal Properties Of Novel Materials, Wilarachchige D.C. Bhagya Gunatilleke

USF Tampa Graduate Theses and Dissertations

Thermal properties play an important role in various aspects of applications of technology startingfrom the materials property determinations to device performance improvements and their safety and stability. Measurements of the thermal properties of such materials of interest pose challenges due to the demands of these measurements for determination of intrinsic materials properties. The research included in this dissertation involved both synthesis of novel materials and their measurement of thermal properties. Solid-state materials synthesis involves various synthesis and processing techniques, while specific technological applications demand synthesis of defect-free single crystals. Such synthesis techniques were explored for the research included in this …

Mathematics And Growth Mindset: A Systematic Review And Meta-Analysis Of Interventions At The Post-Secondary Level, Sean E. Murphy

USF Tampa Graduate Theses and Dissertations

Growth mindset interventions have been implemented in academic settings for over three decades (C. S. Dweck et al., 1995a). One academic field where growth mindset may be most needed is mathematics, as it is not unusual for a student to claim, “I’m not a math person.” Notably, no meta-analysis of mindset interventions in post-secondary mathematics classrooms existed prior to the current study. To close this gap in the literature, the present study included a systematic review and meta-analysis, drawing on two search methods: Boolean and snowballing. The results from both methods were screened using inclusion/exclusion criteria. Snowballing search was hypothesized …

Survival Analysis Of Breast Cancer Patients In Texas Using Classical And Machine Learning Methods, Sidketa Fofana, Tamer Oraby, Salique H. Shaham, Everardo Cobos, Manish K. Tripathi

School of Medicine Publications

Background

Breast cancer is considered one of the most common cancers in women worldwide. In this study, we used an 11-year cohort of malignant breast cancer survival data in Texas to investigate the factors that might explain why some breast cancer patients live longer than others.

Methods

We performed standard survival analyses, including generating Kaplan‒Meier survival curves, using the log-rank test, and applying Cox proportional hazards regression to identify the unique features of breast cancer patients and determine the main factors influencing long-term survival. We also conducted a Random Survival Forest analysis for classification and prediction. Finally, we used Mahalanobis …

The Simulation Of Hyperspectral Observations By The Upcoming Spacecraft “Arab Satellite 813”, With The Radiative Transfer Model Sciatran, Sara Maher Alhasan

Thesis/ Dissertation Defenses

The space mission “813 Satellite” has been awarded by the UAE Space Agency to the National Space Science and Technology Center (NSSTC) in the UAEU as prime contractor. The 813 satellite is an Arab satellite scheduled for launch in the year 2025. The spacecraft is designed to monitor Earth and climate change dynamics specifically over the MENA (Middle East and North Africa) region. The outcomes of the 813 Satellite are anticipated to support evidence-based decision-making processes and facilitate the implementation of sustainable environmental management strategies in the MENA region. Consistent with that, the proposed MSc project seeks to contribute to …

Fostering Entrepreneurial Thinking And Practice Through Teaching And Learning Integration, Mohammad G. Sabbir

Learning and Educational Center Virtual Teaching and Learning Conference

This session explores an innovative, evidence-based approach to integrating entrepreneurial thinking into undergraduate neuroscience education through hands-on gene editing experiences. Using the commercially available Bio-Rad CRISPR/Cas9-based “Out of the Blue” kit for bacterial LacZ gene editing, students are guided not only through the scientific principles underlying modern gene editing technologies but also through the entrepreneurial challenge of replicating and manufacturing the kit using existing lab resources. This model empowers students to extend their learning beyond the classroom by engaging in cost-effective, scalable biotechnology practices—particularly valuable for institutions with limited funding. Classroom-based research demonstrates increased student engagement, deeper conceptual understanding, and …

Engaging With Ai In A Technical Writing Course: A Collaboration Between A Writing Instructor And A Librarian, Isabel Baca, Joy Urbina

HIIT 2025

After describing our collaboration (a Technical Writing Instructor and a Librarian) on teaching students how to use artificial intelligence (AI) to strengthen their writing, we will engage attendees by having them reflect and practice with AI. For our workshop presentation, attendees will:

• Learn how a librarian and a writing instructor collaborated to teach students to use AI effectively and ethically in their writing.
• Reflect on how they can incorporate AI in their classroom or workplace.
• Learn how a librarian can help them incorporate AI into their courses.
• Practice using AI and developing their prompt engineering skills.

Our workshop presentation will …

Conditions Of Coherent-Phonon Excitation In Srmnsb2 Films And Crystals, Manita Rai, Sujan Subedi, Hannah E. Aguirre, Hans A. Bechtel, Renee Chapla, Javier Garcia De Castro, Dennis D. Klug, Jinyu Liu, Madison G. Masten, Trung Hieu Nguyen, Thomas J. Rehaag, Yiyi Wang, Zhiqiang Mao, Gavin R. Bell, Darius H. Torchinsky, Christopher Weber

Physics

Excitation of coherent phonons has the potential to dramatically alter the electronic structure of Dirac and Weyl semimetals, enabling sub-picosecond control of their optical and electronic properties. The Dirac semimetal SrMnSb is a candidate for such control, with a coherent-phonon mode that is predicted to close and reopen a gap at the Dirac node. Here, through a series of ultrafast pump-probe experiments, we establish suitable samples and conditions for driving the coherent phonon to high amplitude and attempting to observe the gap’s closure. Films of SrMnSb grown by molecular-beam epitaxy are shown to have phononic properties matching those of bulk …

Physics 2426 Lecture Slides Volume 3, Chapters 3-4: Interference And Diffraction, Raji Kannampuzha Ph.D.

Physics

Lecture slides for PHYS 2426 (University Physics II) were developed using OpenStax Physics Volume II and III from Rice University. These materials were created as part of Collin College’s 2023-2024 OER Faculty Development Grant. Supported by State Farm Insurance Company, these grants are designed to help faculty develop and integrate open educational resources (OER) into their classrooms and expand the use of OER. All materials were peer-reviewed by Collin College faculty and administrators as part of the grant process to ensure quality and alignment with course objectives.

Sunburned Plankton: Ultraviolet Radiation Inhibition Of Phytoplankton Photosynthesis In The Community Earth System Model Version 2, Joshua Coupe, Nicole S. Lovenduski, Luise S. Gleason, Michael N. Levy, Kristen Krumhardt, Keith Lindsay, Charles Bardeen, Clay Tabor, Cheryl Harrison, Kenneth G. Macleod, Siddhartha Mitra, Julio Sepúlveda

Faculty Publications

Ultraviolet (UV) radiation can damage DNA and kill cells. We use laboratory and observational studies of the harmful effect of UV radiation on marine photosynthesizers to inform the implementation of a UV radiation damage function for phytoplankton photosynthesis in a modified version of the Community Earth System Model version 2 (CESM2-UVphyto). CESM2-UVphyto is capable of simulating UV inhibition of photosynthesis among modeled phytoplankton and ocean column penetration of UV-A, UV-B, and UV-C radiation. We conduct a series of simulations with CESM2-UVphyto using the Marine Biogeochemistry Library (MARBL) ecosystem model to understand the sensitivity of phytoplankton productivity to UV radiation. Results …

Physics 2426 Lecture Slides Volume 2, Chapter 6: Gauss's Law, Raji Kannampuzha Ph.D.

Physics

Lecture slides for PHYS 2426 (University Physics II) were developed using OpenStax Physics Volume II and III from Rice University. These materials were created as part of Collin College’s 2023-2024 OER Faculty Development Grant. Supported by State Farm Insurance Company, these grants are designed to help faculty develop and integrate open educational resources (OER) into their classrooms and expand the use of OER. All materials were peer-reviewed by Collin College faculty and administrators as part of the grant process to ensure quality and alignment with course objectives.

Physics 2426 Lecture Slides Volume 2, Chapter 5: Electric Charge And Field, Raji Kannampuzha Ph.D.

Physics

Lecture slides for PHYS 2426 (University Physics II) were developed using OpenStax Physics Volume II and III from Rice University. These materials were created as part of Collin College’s 2023-2024 OER Faculty Development Grant. Supported by State Farm Insurance Company, these grants are designed to help faculty develop and integrate open educational resources (OER) into their classrooms and expand the use of OER. All materials were peer-reviewed by Collin College faculty and administrators as part of the grant process to ensure quality and alignment with course objectives.

Energy Input-Output Meta-Analysis Reveals Algal Diesel Struggles To Break Even (Supplemental Information), Michelle Arnold

Browse all Datasets

1. Algal biofuels have been investigated as an alternative to traditional fossil fuels for transportation in the United States since the 1970s. Yet after five decades of development, scalability and implementation remain limited. To evaluate the state of progress, this study harmonized energy inputs and outputs across 39 papers, encompassing 508 observations on the production of algal biofuel energy return on energy investment (EROEI) in the United States. The analysis produced a mean EROEI of 1.01—essentially the break-even point—irrespective of system boundaries. This is lower than bioethanol (2.8) and far below oil (8.7). Life-cycle analysis results showed that hydrothermal liquefaction in …

The State Of Our Streams: A Land Trust's Approach To Monitoring The Health Of Three Headwater Streams, Lauren Mcgrath

Sustainability Research & Practice Seminar Presentations

Lauren McGrath, Director of Watershed Protection Program, Willistown Conservation Trust, presents "The State of Our Streams: a land trust's approach to monitoring the health of three headwater streams."

Increasing Complexity Leads To Declining Productivity Of Innovation In The Algal Biofuel Industry (Supplemental Information), Michelle Arnold

Browse all Datasets

Liquid biofuels are widely promoted as renewable, lower-emission alternatives to fossil fuels. Yet despite their promise, this sector faces a critical constraint: a long-term decline in the productivity of innovation. This decline—measured by a decreasing number of patents per inventor—suggests that generating technological breakthroughs is becoming more difficult, expensive, and uncertain. As innovation becomes more resource-intensive, the feasibility of replacing petroleum with liquid biofuels grows more tenuous. This is especially problematic given the pre-existing technical disadvantages of biofuels, including their relatively low energy return on energy investment (EROEI) and energy density compared to fossil fuels. Our findings show that the …

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Computational Data Analysis, Kathryn S. Biles

LSU Master's Theses

Data science has emerged as a cornerstone of innovation, shaping an ever-expanding range

of professional careers. As technology advances and the volume of data expands expo-

nentially, the ability to extract meaningful insights from data has become indispensable

across industries. Far from representing a single career path, data science enables profes-

sionals in nearly every domain to make informed decisions, optimize systems, and drive

innovation. Yet, many high school students and incoming college freshmen have limited

exposure to data science fundamentals or the career opportunities they unlock. This is

the gap that Computational Data Analysis, a high school-level curriculum I …