Digital Commons Network^™

An Interpretable Remote Sensing–Machine Learning Framework For Wildfire Soil Burn Severity Prediction In The Northwestern United States, Subhankar Das, Mariana Dobre, Roger Lew, Sarah A. Lewis, Erin S. Brooks, Peter R. Robichaud, Anurag Srivastava, Mary E. Miller, Alex M. Watanabe, Marta Basso

Michigan Tech Publications

Background: Although soil burn severity (SBS) is traditionally mapped post-fire, pre-fire predictive approaches remain limited despite their potential to identify areas at risk of soil degradation, runoff and erosion. Aim: To develop a large-scale model for predicting post-fire SBS from pre-fire conditions at ~30 m spatial resolution. Methods: A harmonized dataset of 62 wildfires (2018–2024) was used to build machine learning (ML) frameworks based on Random Forest, eXtreme Gradient Boosting (XGBoost), and Light Gradient Boosting Machine (LightGBM), using pre-fire vegetation, climate, soil–terrain and anthropogenic predictors. Performance was evaluated using five-fold cross-validation (CV), leave-one-fire-out (LOFO) validation and independent testing on 2025 …

Neuromorphic Silicon Neuron Controller For Adaptive Deep Brain Stimulation In Parkinson's Disease, Md Abu Bakr Siddique, Jakub Orłowski, Yan Zhang, Hongyu An

Michigan Tech Publications

Parkinson's disease (PD) affects millions worldwide and causes severe motor symptoms. Adaptive deep brain stimulation (aDBS) delivers physiologically informed stimulation that can track fluctuations in PD motor symptoms, enabling more intelligent DBS control. However, most existing aDBS approaches are primarily algorithm- and software-driven, with limited efforts toward circuit realization, particularly low-power and implantable integrated circuits. This paper presents the Silicon Leaky Integrate-and-Fire Deep Brain Stimulation (SiLIF-DBS) controller, a neuromorphic silicon neuron stimulator implemented with metal-oxide-semiconductor (CMOS) technology. For system-level evaluation, a simplified computational model of the SiLIF-DBS controller is derived and embedded within a Parkinsonian cortico-basal ganglia framework for closed-loop …

Accidental Transdermal Buprenorphine Patch Overdose In An Older Adult: A Case Report, Hashem Shogdar, Ahmed Aljohani, Yousef Almubarak

Saudi Toxicology Journal

Background: Buprenorphine is an opioid that is generally used for chronic pain and opioid dependence. Its pharmacological ceiling effect on respiratory depression gives it a comparatively favorable safety profile relative to other opioids. Despite its safety profile, inappropriate use can still result in clinically significant opioid poisoning. This case report highlights a case of accidental buprenorphine overdose in an aged patient. It illustrates the clinical presentation and preventive considerations associated with this uncommon but critical event. Case presentation: A 65-year-old woman with recent left total knee replacement was brought to the Emergency Department (ED) after being found drowsy and unresponsive …

Examining Six Domains Of Resilience With Latinx College Students From Migrant Farmworker Backgrounds: A Quasi-Experimental Single Case Design Study, Rebecca Dickinson, Raissa Miller, Cian L. Brown, G Michael Russo, Emma Knowles

Trauma Counseling and Resilience

Resilience-building interventions show promise in higher education, yet few studies focus on Latinx college students from migrant farmworker backgrounds (LMFWs), a group facing significant challenges such as acculturative stress, mixed familial immigration status, and educational discontinuity. This quasi-experimental single-case design study examined resilience domains among LMFW students participating in a group-based intervention informed by the predictive 6-factor resilience model. Resilience was measured across six domains: collaboration, vision, tenacity, reasoning, health, and composure, using standardized assessments adapted from Rossouw and Rossouw (2018). Pre- and post-intervention scores were visually analyzed to assess change at the individual level. Results indicated a evidence of …

The Roles Of Adverse And Benevolent Childhood Experiences In Posttraumatic Growth And Social Connectedness Following Interpersonal Trauma, Margaret Poandl, Emily Kitching, Daniel Gutierrez, Yuqi Zhang

Trauma Counseling and Resilience

Interpersonal trauma, such as childhood abuse, neglect, and intimate partner violence, is a prevalent and harmful form of trauma associated with deleterious psychosocial outcomes. Despite its negative impacts, individuals exposed to interpersonal trauma may also experience posttraumatic growth (PTG). While adverse childhood experiences (ACEs) are known risk factors and benevolent childhood experiences (BCEs) are potential protective factors for adult outcomes, little is known about how combinations of ACEs and BCEs influence PTG. This study examined how combinations of ACEs and BCEs relate to PTG and social connectedness among individuals who have experienced interpersonal trauma. Using cross-sectional survey data from 615 …

Padres Ayudando A Padres: Co-Constructing A Family-Centered Mental Health Intervention Of, By, And For Central American Immigrant Parents, Rachael Goodman, Colleen K. Vesely, Maribel Tohara Nakamatsu, Victoria Stone, Valeria Quintana, Bethany Letiecq, Amigas De La Comunidad

Trauma Counseling and Resilience

In the wake of the COVID-19 pandemic, our partners in a Central American immigrant enclave reported an increasing need to support parents and children whose mental health was negatively impacted by the confluence of underlying systemic stressors and traumatic experiences. Using our existing family-centered participatory action research (FCPAR; Letiecq, Vesely, et al., 2022) approach and guided by the transcreation model (Nápoles & Stewart, 2018), we co-constructed a mental health intervention in partnership with community members, via our community advisory board (CAB). Essential to this process was building the intervention with the community, ensuring that it was culturally and contextually grounded …

Collective Trauma And Systemic Negligence: Exploring South Korean Disasters Through Media And Cultural Narratives, Jung H. Hyun, Eunae Han

Trauma Counseling and Resilience

Disaster trauma often occurs at multiple levels, with the systemic level highlighting its collective impact on survivors. Betrayal trauma, inflicted by trusted individuals or institutions including the government, further compounds this experience. Drawing on historical and contemporary challenges in modern Korean history and recognizing their collective impact on the Korean population, this paper examines Korean betrayal trauma stemming from disasters, introduces a new concept of political betrayal trauma, and explores how media can serve as a tool for healing. Through a fictional case study, this paper illustrates how collective cultural narratives support both survivors and the broader society in validating …

Drawn For A Brighter Tomorrow: A Functional Art Workshop As A Path To Livelihood And Skills Development Under The Pasay Social Welfare And Development Department (Pswdd), Liane Oxana V. Estuesta, Giana Margaux D. Bustos, Anne Kirsten Cerish S. Gamayo, Julia Patrish P. Go

DLSU Arts Congress Conference Proceedings

This study examines how functional art workshops, where creativity results in usable, real-world objects, can be a tool for livelihood and skills development among children in need of special protection aged 7-17 under the Pasay Social Welfare and Development Department (PSWDD). Specifically, grounded in arts-based and qualitative research, the study seeks to understand how exposure to functional art-making can support participants’ confidence, agency, and practical competencies. Data was gathered through primary sources, including a needs assessment survey, semi-structured interviews with youth participants and administrators after the program, and visual documentation of completed artworks. Secondary sources were also used, including published …

Phantoms Of The Self: An Art Installation On The Commodification Of Anik-Anik Culture, Vito Lomod, Minuet Deniña, Jaihzel Failana, Joshua R. Marcial

DLSU Arts Congress Conference Proceedings

The practice of anik-anik culture remains relevant and prominent among Filipinos, especially among Gen Z. Decorating, collecting, and preserving miscellaneous items as an extension of one’s identity and memory exemplifies the Filipino maximalist aesthetic. In context, Filipinos are naturally inclined to be maximalists, driven by the desire to connect and the tendency to fill empty spaces, hence the aesthetic of Filipino maximalism. Usually, this is evidenced in, but not limited to, consumption and fashion practices. Correspondingly, its current practices have also sparked discussions about the effects of consumerism and the dilution of the origins of anik-anik, which is deeply rooted …

“Shh!” Bleaching As An Auto-Destructive Art Method Of Representing The Silencing Of Women, Kristelle Tenero De Leon

DLSU Arts Congress Conference Proceedings

This paper discusses the artistic representation of the muffling of women’s voices and the culture of silence through a theoretically auto-destructive method of artmaking—bleaching using mark-making on textile. Through studio art research, the reductive and erasing properties of bleaching agents are used by bleaching printed images of women in fabric to metaphorically represent and articulate the existence of silencing imposed upon women. Guided by the lens of feminism and Gustav Merger’s manifesto of auto-destructive art, this work presents the artistic images of 13 women across Philippine history—from the babaylans to Maria Ressa—on textile, imbued with bleaching effects. Moreover, the work …

Kapwa Beckett: Co-Performance, Pakikipagkapwa, And Relational Meaning-Making In Philippine Stagings Of Samuel Beckett, Christian Gabriel Tolentino

DLSU Arts Congress Conference Proceedings

This reflective-practice study examines how kapwa and pakikipagkapwa emerged through translation, rehearsal, staging, and reception in three Philippine productions of Samuel Beckett: Endgame (2016), Happy Days (2019), and the devised classroom piece Beckett, Godot & Us Waiting (2023). Using comparative production analysis and a dialogical co-performance orientation drawn from Dwight Conquergood, I analyze rehearsal exercises, adaptation notes, production materials, staging decisions, and remembered performer-audience encounters. The analysis identifies distinct relational practices across the productions: collaborative localization and sensory dramaturgy in Endgame; negotiated media adaptation and mediated intimacy in Happy Days; and devising, Meisner repetition, physical trust, and shared post-pandemic waiting …

Atomos Komiks - Making Learning Fun With Science Entertainment, Jerome Aizpuro Suplemento Ii, Julius Noah Hernandez Sempio

DLSU Arts Congress Conference Proceedings

With portable digital devices imposing themselves on the already precarious attention span of the Filipino youth, and with raising concerns about degrading literacy of schoolchildren, it is imperative to find creative and entertaining means to inspire the young studentry to engage in dedicated educational materials. This paper explains the methods being used by a small group of artists, scientists and writers to create content for “science entertainment” in comics format. By combining principles of conceptual compression, knowledge indexing and low-elaboration persuasion techniques to develop knowledge “anchors”, the team aims to generate participatory engagement among readers and stimulate their cognitive innovation. …

Indigenous Pedagogies As An Arts-Based Framework For Education 4.0, Andylyn Simeon

DLSU Arts Congress Conference Proceedings

While Education 4.0 promises to cultivate 21st-century skills like creativity and critical thinking, the reality often falls short. Current frameworks are heavily technocentric, prioritizing digital tools and measurable data over the communal, emotional, and spiritual depth that true learning requires. This paper argues that we can restore balance to this digital shift by looking toward Indigenous Pedagogies (IPs). Far from being “obsolete” relics of the past, these are sophisticated, arts-based systems rooted in storytelling, ritual, and land-based creation that can offer a creative blueprint for the human-centered goals that Education 4.0 claims to value. Through a qualitative synthesis, I deconstruct …

Effectiveness Of The Smart Me-De Digital Program On Health Literacy And Glycemic Control In Newly Diagnosed Type 2 Diabetes, Nongnaphat Rungnoei, Siriporn Kruttakart, Natthapan Phianthanyakam, Pakaporn Klinhom, Umaporn Nokpaet, Jintipa Sirikunwiwat, Burong Jaitham

Journal of Health Research

Background: Individuals newly diagnosed with type 2 diabetes often have limited knowledge and self-management skills, leading to poor glycemic control and increased complications. This study evaluated the effectiveness of the Smart ME-DE Digital Program in improving health literacy and glycated hemoglobin levels among newly diagnosed individuals with type 2 diabetes.

Methods: A quasi-experimental study was conducted with seventy participants recruited from diabetes clinics at three hospitals in a central province of Thailand. They were selected using simple random sampling and matched by gender, age, and baseline HbA1c levels, and allocated to an experimental or comparison group. The experimental group received …

Large-Scale Asymptotics In Fixed-Sample And Sequential Multiple Testing, Rahul Roy

Doctoral Theses

The advent of large-scale data acquisition technologies has led to the routine emergence of massive, dynamically evolving datasets. This has created a pressing need for statistical methodologies capable of operating effectively in both static and sequential data environments. Multiple hypotheses testing, a central tool in such settings, must therefore be adapted to both fixed-sample and sequential frameworks to ensure effective decision-making while controlling error rates. This thesis comprises two main parts. The first part addresses fixed-sample multiple testing under dependence in a Bayesian framework. Building upon the two-group mixture normal model of Bogdan et al. (2011), we extend their methodology …

Properties Of Enjoyable Mathematical Contexts From The Student Perspective, Emilie Nadine Hendrickson

Theses and Dissertations

Researchers continue to grapple with how to meaningfully engage students in mathematical content. Many students report disengagement due to perceptions that mathematics is difficult, irrelevant, boring, or anxiety-inducing. This study sought to understand how students interpret and respond to different mathematical problem contexts, with particular attention to the reasons students describe certain problems as enjoyable or unenjoyable. Using semi-structured interviews, this research examined student responses to a variety of mathematical problem types primarily across affective engagement. Students reflected on specific problem contexts and explained which features supported or hindered their enjoyment and engagement. Students described that contexts were enjoyable have …

Comparing Principal Component Analysis And Sequential Fusion Deeponet With Varying Dataset Size For Design Space Exploration Of Hypersonic Flow, J. Dallan Trentman

Theses and Dissertations

Design space exploration and optimization of hypersonic vehicles is costly due to the difficulty of producing high fidelity CFD simulations in the hypersonic domain. Reduced order modeling can allow for design optimization at a fraction of the computational cost. This paper investigates the amount of training data required to produce an accurate Reduced Order Model. A PCA based ROM is developed and compared to a Sequential Fusion DeepONet by comparing model prediction accuracy, training time, and prediction time, across dataset sizes from 25 samples to 1024 samples. These models are applied to 2D hypersonic CFD simulations of the Orion reentry …

Resonant Shock Plate Simulation And Prediction Using Modal Substructuring, Harrison C. Denning

Theses and Dissertations

Aerospace structures such as rockets can experience various shock events during flight, such as stage separation or impacts. These shock events can expose components inside the rocket to large accelerations and stresses which in turn can damage the parts. Shocks are often simulated in the lab using a resonant shock plate test. Resonant shock plate testing is often used to qualify aerospace parts, as it can mimic the shocks experienced during launch and stage separations. However, during the course of development, both the definition of the shock environment and the design of the subcomponent tend to change, so that multiple …

Rfsoc Based Ground Penetrating Radar For Detection And Avoidance Of Underground Utilities, Brady Bowerbank

Theses and Dissertations

Preexisting underground utilities present a considerable danger to underground boring projects. Gas and electrical lines can be damaged, leading to major economic impact and even loss of life. While maps of underground utilities exist, they are not always accurate and gas and electrical lines can shift over time, necessitating tools to accurately detect utilities so that crews can steer the machines away from any possible danger. In this thesis, the design of a new frequency-modulated continuous-wave (FMCW) ground penetrating radar (GPR) is outlined. The design of a lightweight, flexible radar is demonstrated using the CASPER FPGA framework with an operating …

Isoperimetric Soft Robots, Mihai Stanciu

Theses and Dissertations

This thesis presents two advances in isoperimetric soft robotic trusses that improve their performance, modularity, and configurability. The first contribution introduces a large-scale modular robotic truss designed as a lightweight, reconfigurable structure for lunar applications. The system consists of inflatable fabric tubes routed through motorized roller units and interconnected by a newly developed spherical joint that enables multiple robotic triangles to connect at a common vertex. The resulting truss can be assembled into structures beyond a single octahedron while retaining compact stowage when deflated and untethered operation after initial inflation. Experimental validation demonstrates modular assembly, long-term pressure retention, load-bearing capabilities …

Clinical Utility Of An Fda-Authorized Artificial Intelligence Imaging Platform In Interstitial Lung Disease Diagnosis, Arjun Prakash Tambe, Ryan Boente, Gautam George, Fayez Kheir, Omid Tahamtani Omran, Kavitha Selvan

Division of Pulmonary, Allergy, and Critical Care Medicine Faculty Papers

Background/Objectives: The diagnosis of interstitial lung disease (ILD) is challenging and frequently delayed. Clinically accessible and minimally invasive diagnostic tools are needed to expedite the diagnosis of ILD while minimizing risk to patients. Fibresolve is an imaging artificial intelligence (AI) tool recently approved by the Food and Drug Administration (FDA) for use in ILD diagnosis and made available to clinicians. The objective of this study was to describe its utility in clinical practice. Methods: We conducted a prospective, observational study of patients across the United States (US) in whom Fibresolve was utilized during routine clinical practice between July 2024 and …

Pharmacy Professor Uses Grant To Improve Rural Healthcare Access, James Dowd

University of Mississippi News

OXFORD, Miss. – University of Mississippi pharmacy professor Kylie Futrell is leading a partnership working to improve access to healthcare services in rural Mississippi communities, while helping residents manage their chronic health conditions.

Dynamind: A Dynamic Learned Index For Update-Intensive Workloads, Jingxian Cheng, Yingfang Wang, Tianqing Zhu, Xu Yang, Ningning Cui, Jianxin Li

Research outputs 2022 to 2026

Learned indexes leverage machine learning models to approximate data distributions and predict key positions, offering better performance than traditional index structures such as B+Trees. As data in real-world applications evolve rapidly, the timely and efficient updating of learned indexes has become an increasingly important research problem, attracting growing attention in recent studies. However, under update-intensive workloads with frequent insertions and deletions, existing learned indexes cannot update the model in a timely manner. Moreover, they ignore the impact of deletions on model accuracy. These limitations lead to degraded prediction accuracy and increased query latency, undermining the core advantage of learned indexes. …

Using Hip Hop Pedagogy To Bridge The Culture Of Black Children Identified With Behavioral Disorders In The Curriculum, Monique Matute-Chavarria, Pricella Morris, Monica R. Brown

Journal of the Arts and Special Education

Black and other minoritized children have listened to hip hop in the streets, in clubs, in basements, and anywhere else that they could create a space to enjoy this art form. However, hip hop has not always been welcomed in school spaces because of the lyrical content. Despite the objections to hip hop (specifically rap), minoritized children often look to it as representative of who they are and the communities they come from. Therefore, in this paper, we propose the use of hip hop strategies in the schools, utilizing its pillars (i.e., rap, DJing, breakdancing, graffiti art, and knowledge of …

We Are All In This Together Now: Exploring Community Based Partnerships Focusing On Hip-Hop Based Education, William C. Hunter, Tarol Page Clements, Gregory Washington

Journal of the Arts and Special Education

This article explores a community-based collaborative partnership between three Hip-Hop educational nonprofits, Upward Light Community Cyphers, Project STAND (Social-Emotional, Transition, Academic and Network Developing), and the Center for the Advancement of Youth Development (CAYD), all focused on mental health support for youth, and a public-school program that has serves students with and without exceptionalities. The goal shared by all organizations involved is enhanced educational access and engagement for students with and without exceptionalities. Rooted in the core elements of Hip-Hop — emceeing, DJing/music production, breakdancing, and graffiti art, the collaborative partnership has offered culturally sustaining, arts-integrated instruction that supports both …

Developing Flow Theory For Black Girl Genius: A Conceptual Framework Grounded In Discrit, Endarkened Feminist Epistemology, And Hip-Hop Pedagogy, Keishana L. Barnes, William C. Hunter

Journal of the Arts and Special Education

Twice exceptional Black girls, those who are both intellectually gifted and identified with a disability, navigate classrooms shaped by racism, ableism, and sexism. These overlapping systems often render their brilliance illegible, leading to misidentification, exclusion, and under-support in both gifted and special education. This conceptual essay introduces Flow Theory for Black Girl Genius, a liberatory framework that considers Disability Critical Race Theory (DisCrit), Endarkened Feminist Epistemology, and Hip-Hop Pedagogy. DisCrit helps uncover the structural barriers that marginalize students at the intersection of race and disability. Endarkened Feminist Epistemology centers ancestral, embodied, and spiritual ways of knowing rooted in Black …

Jose Lainez Bueso V. Attorney General United States Of America

2026 Decisions

Agency

John Alexander V. B. Myers

2026 Decisions

USDC for the Middle District of Pennsylvania

Data Centers As Engines Of Corporate Tax Base Restructuring, Reuven S. Avi-Yonah, Domenico Imparato, Karen Sam

Articles

Globalization has eroded the corporate income tax by undermining both source-and residence-based taxation. Before the 1980s, large capital-exporting countries could impose relatively high tax rates on multinationals and extend taxation to low-taxed foreign income earned through controlled foreign corporations, as exemplified by the U.S. adoption of subpart F in the Revenue Act of 1962. That regime supported corporate tax revenues that reached roughly 25 percent of total U.S. receipts in the mid-20th century.

Globalization changed that equilibrium. Multinational corporations gained the ability to arbitrage national tax systems by relocating and reporting profits in low-tax jurisdictions. Active income largely escaped source …

Stochastic Inverse Problems In Stochastic Elliptic And Parabolic Pdes, Zi-Jia Gong

Theses

This dissertation presents a computational framework for solving stochastic inverse problems in partial differential equations (PDEs) with random data. The objective is to recover unknown random coefficients in parabolic and elliptic diffusion equations, as well as nearly incompressible linear elasticity models. To achieve this, optimization-based approaches are used to minimize regularized Energy Least Squares (ELS) and Output Least Squares (OLS) objective functionals. Both direct and adjoint methods are used to estimate the gradient and Hessian of the objective functionals with respect to the coefficients. To avoid the expensive computation of the full Hessian matrix, the Newton-CG-like method is also adopted, …