Digital Commons Network^™

Analysis Of Numerical Methods For Spdes, And Applications Of Free Boundary Problems In Financial Mathematics, Corey A. Prachniak

Graduate Thesis and Dissertation post-2024

This dissertation studies the key properties of a fully discrete finite element method for a class of stochastic moving boundary problems. Then, free boundary problems and their applications in finance are explored.

The first part of this thesis studies the properties of a proposed fully discrete finite element method scheme with an interpolation operator for stochastic Cahn-Hilliard equations with functional-type noise. These solutions cannot be differentiated in time, so we provide Holder continuity results to aid in the scheme’s error analysis. We further derive the uniform boundedness of higher-order L²-norm moment for use in the analysis. Then nearly …

Examining Educational Inequalities And Driving Science’S Next Generation Forward: Geobus Program Theory Evaluation, Elise M. Lorenzo

Graduate Thesis and Dissertation post-2024

This study presents a theory-driven evaluation of GeoBus, a mobile science lab designed to deliver hands-on, “fun learning experiences” via a solar powered, technology-rich learning environment brought directly to K-12 students in Central Florida Title 1 schools. While STEM education is widely recognized as essential for promoting equity, many schools, particularly in under-resourced communities, continue to face barriers to accessing meaningful and inclusive science learning opportunities. GeoBus was created in response to this need, offering students an informal learning environment with exposure to geospatial technologies and interactive science content.

Drawing on mixed-methods data, including content from the GeoBus website and …

The Dual Impact Of Moral Injury: Links To Ptsd Symptoms And Disinhibited Externalizing In U.S. Combat Veterans, Bianca S. Islas

UNLV Theses, Dissertations, Professional Papers, and Capstones

Moral injury is an experience of psychological distress that occurs when a person’s morals are violated by themselves or others, including institutions and organizations. Such violations of morality can be impairing and have high rates of comorbidity with internalizing disorders (posttraumatic stress, depression, anxiety, suicidality), which may indicate that moral injury is a transdiagnostic construct. This study had four aims, which were accomplished using from a nationally representative, probability-based sample of 1,353 US military veterans. In the first aim, we created structural models of moral injury using the Moral Injury Events Scale (for which a bifactor structure with a specific …

Mathematical Modeling And Association Analysis Decipher The Impact Of The Gut Microbiome On Cancer Immunotherapy, Andreas G Hadjigeorgiou, Constantinos Harkos, Aditya K Mishra, Golnaz Morad, Sarah B Johnson, Nadim J Ajami, Jennifer A Wargo, Lance L Munn, Triantafyllos Stylianopoulos, Rakesh K Jain

Faculty, Staff and Student Publications

The gut microbiome has emerged as a key regulator of response to cancer immunotherapy. However, a better understanding of the underlying mechanisms by which the microbiome influences immunotherapy is needed to identify strategies to optimize outcomes. To this end, we developed a mathematical model to obtain insights into the effect of the microbiome on the immune system and immunotherapy response. This model was based on (i) gut microbiome data derived from preclinical studies, (ii) mathematical modeling of the antitumor immune response, (iii) association analysis of microbiome profiles with model-predicted immune profiles, and (iv) statistical models that correlate model parameters with …

The Effectiveness Of Pre-Packaged Literacy Curriculum: A Document Analysis Of The Culturally Responsive Tenets In Pre-Packaged Literacy Curriculum, Grace Ghazzawi

Seton Hall University Dissertations and Theses (ETDs)

The introduction of the Common Core State Standards in 2010 sought to standardize educational expectations across the U.S., aiming to promote equity by ensuring all students received a high-quality education. However, educational disparities persist, particularly for historically marginalized students, leading to a continued achievement gap in literacy, especially among low-income students of color. While pre-packaged curricula have emerged as tools to align instruction with the rigor of the Common Core State Standards, their effectiveness in addressing the diverse needs of students from marginalized backgrounds remains uncertain. This study explores the intersection of pre-packaged literacy curricula and Culturally Responsive Teaching (CRT) …

The Influence Of Remote Instruction On Middle School Ell Students' New Jersey State Learning Assessment English Ela And Math Achievement, Marie Chezuette Dort

Seton Hall University Dissertations and Theses (ETDs)

This correlational study explained the influence of remote instruction on English Language Learner (ELL) students' middle school grades on the New Jersey Student Learning Assessment (NJSLA) achievement in English Language Arts (ELA) and Mathematics. This study focused on data collected in two separate school years and analyzed middle school grades with the ELL Subgroup. It indicated the correlation between remote instruction and ELL students' ELA and mathematical performance in the NJSLA Grades 6, 7, and 8. This study also included controlled variables, Grades 3, 4, and 5, from 2018-2019 and other student characteristics, the percentage of economically disadvantaged students and …

Multimodal Characterization Of Systems-Level Robustness In The Cellular Organelle Network, Aline Arra

Arts & Sciences Graduate Student Theses and Dissertations

Eukaryotic cells house mesoscopic and macroscopic complex systems that work in tandem for proper cellular function. A defining feature of eukaryotic cells is their mesoscopic network of membrane bound compartments called organelles. While each type of organelle has their own individual functions, there are vital cellular processes that come from the interactions between them, such as organelle biogenesis and metabolic regulation. A central question in cellular biophysics is to what degree is cellular function robust or fragile to breaks in the organelle network. These interactions can be explored by genetically deleting inter-organelle protein tethers called organelle contact sites. Here we …

Re: 2nd Quarter 2025 – Interim Site-Wide Surface Water Monitoring Data Report Silver Bow Creek Butte Area Npl Site, Butte Priority Soils Operable Unit Consent Decree-Civil Action No. Cv 89-039-Bu-She, Josh Bryson

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Red Noise Suppression In Pulsar Timing Array Data Using Adaptive Splines, Yi-Qian Qian, Yan Wang, Soumya Mohanty

Physics & Astronomy Faculty Publications

Noise in Pulsar Timing Array (PTA) data is commonly modeled as a mixture of white and red noise components. While the former is related to the receivers, and easily characterized by three parameters (EFAC, EQUAD and ECORR), the latter arises from a mix of hard to model sources and, potentially, a stochastic gravitational wave background (GWB). Since their frequency ranges overlap, GWB search methods must model the non-GWB red noise component in PTA data explicitly, typically as a set of mutually independent Gaussian stationary processes having power-law power spectral densities. However, in searches for continuous wave (CW) signals from resolvable …

The Effectiveness Of Kolmogorov–Arnold Networks In The Healthcare Domain, Vishnu S. Pendyala, Nivedita Venkatachalam

Faculty Research, Scholarly, and Creative Activity

Kolmogorov–Arnold Networks (KANs) have recently emerged as a powerful alternative to traditional Artificial Neural Networks (ANNs), offering superior accuracy and interpretability, which are two critical requirements in healthcare applications. This study investigates the effectiveness of KANs across a range of clinical tasks by applying them to diverse medical datasets, including structured clinical data and time-series physiological signals. Compared with conventional ANNs, KANs demonstrate significantly improved performance, achieving higher predictive accuracy even with smaller network architectures. Beyond performance gains, KANs offer a unique advantage: the ability to extract symbolic expressions from learned functions, enabling transparent, human-interpretable models—a key factor in clinical …

From Sim To 6dof: Deep Learning For Real-Time Satellite Pose Estimation From Resolved Ground-Based Imagery, Thomas W.N. Dickinson

Theses

This dissertation presents the first practical system for automated six degrees of freedom (6DOF) satellite pose estimation from resolved ground-based adaptive optics (AO) imagery. Addressing a key challenge in Space Domain Awareness (SDA), the proposed approach eliminates the need for human labeling by directly regressing satellite orientation and position from blurry, noisy, and deeply-shadowed imagery. The architecture consists of a multi-stage deep neural network pipeline that localizes the satellite, predicts pose, and optionally smooths predictions over time. Networks are trained exclusively on fully synthetic imagery generated from a 3D CAD model. Despite this, the model generalizes effectively, bridging the Sim2Real …

Multi-Sensor Remote Sensing Captures Geometry And Slow-To-Fast Sliding Transition Of The 2017 Mud Creek Landslide, Alexander L. Handwerger, Pascal Lacroix, Andrew F. Bell, Adam M. Booth, Mong-Han Huang, Simon M. Mudd, Roland Bürgmann, Eric J. Fielding

Geology Faculty Publications and Presentations

Landslides pose a significant hazard worldwide. Despite advances in landslide monitoring, predicting their size, timing, and location remains a major challenge. We revisit the 2017 Mud Creek landslide in California using radar interferometry, pixel tracking, and elevation change measurements from satellite and airborne radar, lidar, and optical data. Our analysis shows that pixel tracking of optical imagery captured the transition from slow motion to runaway acceleration starting ~ 1 month before catastrophic failure—an acceleration undetected by satellite InSAR alone. Strain rate maps revealed a new slip surface formed within the landslide body during acceleration, likely a key weakening mechanism. Failure …

Seasonality In Terminus Ablation Rates For The Glaciers In Greenland (Kalaallit Nunaat), K. C. Aman, Ellyn M. Enderlin, Dominik Fahrner, Twila Moon, Dustin Carroll

Faculty Research, Scholarly, and Creative Activity

Marine-terminating glaciers of Greenland (Kalaallit Nunaat) have been losing mass since the 1990s, with a substantial portion caused by the effects of dynamic change. Conventional assessments of dynamic mass loss, however, often ignore the influence of terminus advance or retreat on the timing of mass loss. Here, we construct and analyze a decade (2013-2023) of monthly ice flux driven both by temporal variability in ice flow (i.e., discharge) and terminus position change - collectively called terminus ablation - for 49 marine-terminating glaciers in Greenland. We calculate terminus ablation rates using open-source datasets, including terminus position, ice surface elevation, ice thickness, …

Informatics At The Frontier Of Cancer Research, Kathleen Noller, Malachi Griffith, Daniel Marcus, Et Al.

2020-Current year OA Pubs

Digitized healthcare data, high-throughput profiling technologies, and data repositories have facilitated the emergence of a new era of cancer research. Each data stream requires specialized analysis methods for interpretation. The data-driven era of cancer research requires the development, enhancement, and sustainment of informatics technology software infrastructure, including fundamental methodology development in artificial intelligence and data science. We review current and emerging informatics technology developments for cancer research and discovery, spanning molecular and cellular characterizations, image analysis, informatics, and therapeutics. Summarizing the diverse methods and applications of informatics throughout cancer research identifies themes and emerging areas for the next generation of …

Education Outcomes From An Ophthalmology Microsurgery Course For Medical Students, Michael Y. Zhu, Keke Liu, Joanne C. Wen, Sandra Stinnett, Jullia A. Rosdahl

Journal of Academic Ophthalmology

Background: Microsurgery training programs are critical for developing the skills needed by ophthalmology residents, but they are not typically offered to medical students. However, incorporating a microsurgery course into medical school curricula may help students more carefully consider a career in ophthalmology and improve learning outcomes during their training. Purpose: This article describes a microsurgery course for medical students and evaluates its educational impact. Methods: A microsurgery course was developed and implemented for third (MS3) and fourth (MS4) year medical students at Duke University School of Medicine. The fourweek course included six didactic lectures, three hands-on skills sessions, and the …

Exploring The Connection Between Teaching Frameworks And Policies For Assessing Teaching, Barbara J. Bird, Beate Brunow, Eric Kyle, Shawn R. Simonson

International Journal of Transformative Teaching and Learning in Higher Education

Most faculty policies aimed at faculty review or assessment of teaching do not include specific teaching criteria and standards but instead lean heavily on student evaluations and peer review of teaching. This approach provides no concrete path for using assessment in a feedback loop that enables teachers to improve teaching. Implementing teaching frameworks can improve feedback loops and assessment policies by providing specific criteria and standards. Developing teaching effectiveness frameworks and connecting them to teaching assessment policies can be a critical step in advancing institutional change initiatives focused on teaching effectiveness. This critical alignment enables sustainable and meaningful change. This …

The Quest For Acceptance, Alberto Balam Navarro

Cuaderna Vía

No abstract provided.

Full Issue, Cuaderna Via Editors

Cuaderna Vía

No abstract provided.

Integrasi Accera Pare Bagi Kehidupan Masyarakat Parigi Dalam Membangun Solidaritas Peserta Didik, Inas Tahirah, I Komang Astina, Yuswanti Ariani Wirahayu

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

Accera pare is a harvest party of the Parigi Village community which is held as a form of gratitude of the farmers for the gifts given by God for being given a smooth harvest. The purpose of this research is to explore the meaning of the accera pare ceremony for the people of Parigi Village and the integration of accera pare in building students' sense of solidarity. The research method used descriptive qualitative with ethnographic approach where the data were analyzed by domain analysis, taxonomy, components and cultural themes. Data sources were obtained through participant observation and in-depth interviews. The …

Geometry Math Problem-Solving Ability In Grade Iv Elementary School Students Based On Learning Style, Mutiara Intan Lestari, Arinta Rezty Wijayaningputri, Ichsan Anshory

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

According to Miles and Huberman, this research uses a descriptive qualitative method with three steps of data analysis: data reduction, data presentation, and conclusion drawing. Data collection techniques included observation, interviews, and documentation. The study aimed to analyze the relationship between students' learning styles and how they solve geometry math problems. Initial observations in class IV SDN Pulorejo III showed that students' literacy skills were low, especially in understanding story problems, obstacles in solving geometry problems such as memorizing formulas, and ignorance of students' learning styles. The results revealed that 54% of students have a visual learning style, 18% auditory, …

Application Of Ann Artificial Network In Slope Behavior Evaluation Using Machine Learning Technique, Marziyeh Tourani, Hadi Bahadori

NJF Intelligent Engineering Journal

In geotechnical engineering, evaluating slope stability remains a significant challenge due to inherent soil variability and environmental uncertainty. This study explores the application of Artificial Neural Networks (ANN) in predicting the factor of safety (FoS) of slopes using dimensionless input variables. An initial dataset of 349 samples was refined to 259 validated cases after removing outliers and incomplete entries. The input parameters were transformed into nondimensional forms c / γh, (tan(⌀)) / (tan (β)), and p / γh based on fluid mechanics principles to improve generalization and reduce dimensional bias. A feedforward ANN model …

A Hybrid Deep Learning Approach For Lung Diseases Classification Using Vision Transformer And Densenet, Noor Abd Alrazak Shnain, Mohammed Abdulameer Aljanabi

NJF Intelligent Engineering Journal

Lung disorders, such as pneumonia, tuberculosis, and COVID-19, remain significant global health issues. Accurate and early detection is of paramount significance to ensure effective treatment and control. Conventional CNN models like DenseNet have shown superior performance in the classification of medical images, whereas Vision Transformers (ViTs) have recently gained momentum as formidable models to capture global context information. Each of these models, however, has limitations when operated standalone. This manuscript suggests an innovative hybrid deep learning framework that synergizes the benefits of both ViT and DenseNet to advance lung disease diagnosis using chest X-ray images. The hybrid model uses both …

Middle School Special Education Math Teachers’ Perceptions On The Use Of Quality-Plus Teaching Strategies, Lisa Williams Taylor

Walden Dissertations and Doctoral Studies

The problem addressed through this study was that middle school special education math teachers’ use of quality-plus teaching strategies (QPTS) is not known at a large Georgia school district (GSD, a pseudonym). The purpose of this basic qualitative study was to explore middle school special education math teachers’ perceptions about using QPTS to improve standardized test scores for students with specific learning disabilities (SLD) at GSD. The study was grounded in Piaget’s theory of constructivism, which holds that knowledge is best gained through a process of action, reflection, construction, and the interaction of experiences and ideas. For this basic qualitative …

Awaiting The Colorado River 24-Month Study, John Fleck, Anne Castle, Eric Kuhn, Jack Schmidt, Kathryn Sorensen, Katherine Tara

The Traveling Wilburys of the Colorado River

No abstract provided.

From Coastal Retreat To Seaward Growth: Emergent Behaviors From Paired Community Beach Nourishment Choices, Jorge Lorenzo-Trueba, Arye Janoff, Oshane Thomas, Di Jin, Porter Hoagland, Andrew Ashton

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

Coastal communities often address shoreline erosion through beach nourishment, adding externally sourced sand to widen beaches for recreation and property protection. While nourishment enhances beachfront property values, the need for periodic maintenance creates interdependencies where the actions of neighboring communities affect local shoreline dynamics. Using a coupled model of two neighboring communities, we examine the interplay between community nourishment decisions and the redistribution of nourishment sand. We find that the value a community places on wider beaches not only influences their propensity to nourish, but also their and their neighbors' nourishment efficiency and net benefits. Communities that nourish more frequently …

Usa V. Hiteshkumar Patel

2025 Decisions

USDC for the Middle District of Pennsylvania

An Evidence-Based Intervention To Increase Trypanosoma Cruzi, A Neglected Parasitic Infection, Diagnosis In Rural And Moderate-Size-City Us Clinics, M K. Lynn, Hunter M. Boehme, Jeffrey Hall, Patrick Kent, Alain H. Litwin, Quang H. Pham, Melissa Nolan Ph.D., Mph, Prisma Chagas Team

Faculty Publications

Background

Chagas disease is a chronic, insidious parasitic infection (Trypanosoma cruzi) that slowly develops to irreversible organomegaly over several decades. The disease is traditionally acquired in endemic Latin American countries during childhood; < 1% of foreign-born adult residents in the United States have been diagnosed or treated with this potentially fatal disease. Low physician knowledge is a primary factor leading to misdiagnosis.

Methods

Starting in April 2022, a 4-part T cruzi clinical education intervention began, which included (i) 2 grand rounds presentations to >100 internal medicine providers; (ii) implementation of a “clinical Chagas champions program” incorporating 14 key clinical staff at varying departments and administrative levels educated on their specific role related to T cruzi screening, diagnosis confirmation, clinical management, and medical billing; ( …

Time-Evolved Constant Voltage Conductivity Measurements Of Common Spaceborne Polymeric Materials, Brian Wood, David King, Jr Dennison

Journal Articles

Long-duration current measurements were made for low-density polyethylene (LDPE), polyimide (PI), polyether ether ketone (PEEK), and biaxially oriented polypropylene (BOPP) to determine their bulk conductivity near room temperature as a function of time. These common thin-film spacecraft material samples were vacuum baked to remove moisture and volatile contaminants to better simulate space conditions. The constant voltage conductivity (CVC) method used a very stable, low-noise dc voltage source and measured the resulting current in a parallel plate geometry. Due to the extremely low conductivity of these four polymeric materials, extended experiments of up to ten days were necessary to establish equilibrium …

Conquer And Prevail Issue 194 August 14 2025, Wofford College. Office Of Marketing And Communications

Conquer and Prevail Newsletter

No abstract provided.

A Lack Of Social Emotional Learning Skills May Hinder Student Achievement, Lillian Delyon

Masters Projects

Due to the increasing amounts of behaviors such as aggression, elopement, hitting, throwing items/toys, etc. in education students need tools and strategies for when various situations arise. A lack of social emotional learning skills and challenging behaviors may hinder student achievement. By implementing social emotional learning into the classroom, this can help students build their tools boxes when these challenge behaviors arise. Implementing evidence-based strategies students will become better learners and have improved social, behavioral, and emotional learning as life-long learners. By building up students confidence, fostering a welcoming, safe and inclusive environment, building relationships with students, teachers, and families, …