Digital Commons Network^™

Hemodynamic And Oximetric Response To Sodium Bicarbonate Boluses In Children With Single Ventricle Parallel Circulation: A Retrospective, Single-Center Study, Fabio Savorgnan, Saul Flores, Rohit S. Loomba, Sebastian Acosta

Journal of Pediatric Intensive Care

Introduction: To evaluate the hemodynamic and oximetric changes in patients with parallel circulation (Norwood, hybrid, and BT-shunted) after sodium bicarbonate bolus administration. Methods: Retrospective analysis of physiologic data. To eliminate confounders, sodium bicarbonate boluses concurrently administered with normal saline, 5% albumin, epinephrine boluses, blood transfusions, change in VIS or mechanical circulatory support were excluded. Blood pressure, arterial oxygen saturation, heart rate, cerebral and renal NIRS were continuously recorded from one-hour pre to one-hour post each intervention. Results: Out of 429 boluses, 293 boluses met the inclusion criteria. Measurements show an increase in blood pressure (p = 0.01) and heart rate …

Heart Rate Variability In Children With Moderate And Severe Traumatic Brain Injury: A Prospective Observational Study, Sophie Martin, Geneviève Du Pont-Thibodeau, Andrew Je Seely, Guillaume Emeriaud, Christophe L. Herry, Morgan Recher, Jacques Lacroix, Laurence Ducharme-Crevier

Journal of Pediatric Intensive Care

Objective: To assess feasibility of continuous monitoring of heart rate variability (HRV) in children with traumatic brain injury (TBI) hospitalized in a Pediatric Intensive Care Unit (PICU) and collect preliminary data on the association between HRV, neurological outcome and complications. Method: Prospective observational cohort study in a tertiary academic PICU. Children are admitted to the PICU 24 h after moderate or severe TBI were included. Children suspected of brain death at PICU entry or with a pacemaker were excluded. Children underwent continuous monitoring of electrocardiographic (ECG) waveforms over 7 days post TBI. HRV analysis was performed retrospectively, using a standardized, …

Data Provenance Verification For Multi-Stage Processing Pipelines — Chained Integrity Binding, Jayson Winchester

Defensive Publications Series

This publication discloses methods and systems for constructing and verifying provenance chains that link verifiable commitments across the semantically distinct processing stages of a determination pipeline, providing data provenance verification for multi-stage processing pipelines. In one embodiment, a provenance chain is formed by producing a verifiable commitment at each processing stage, where each stage’s commitment incorporates the preceding stage’s commitment together with the current stage’s content, creating stage-to-stage binding that makes the chain tamper- evident. The resulting forward-only provenance chain ensures that stages cannot be reordered, removed, or inserted without producing a detectably different commitment at each subsequent stage. In …

Privilege Separation Architecture — Structural Confinement Of Analysis Components In Decision Systems, Jayson Winchester

Defensive Publications Series

This publication discloses methods and systems for structurally separating components that analyse and propose from components that produce external effects within computational decision infrastructure. In one embodiment, a computational system enforces a structural separation between a determination-side partition (the analysis partition) and an effect-side partition (the execution partition) through its construction — such that no component in the analysis partition can directly invoke operations that produce external effects, regardless of that component’s credentials, permissions, or compromise status. The structural isolation is enforced by system architecture rather than by runtime policy or administrative configuration. In one embodiment, the separation applies with …

Automated Policy-To-Code Translation — Ai-Driven Governance Artifact Construction From Policy Documents, Jayson Winchester

Defensive Publications Series

This publication discloses methods and systems for AI-driven governance artifact construction within decision infrastructure systems. The disclosed methods relate to the field of automated policy-to-code translation, where techniques from obligation extraction and model-driven engineering transform unstructured policy documents into formal governance specifications. In one embodiment, an AI constructor analyses source material — including policy documents, regulatory standards, and process descriptions — and proposes governance artifacts that declare structural and governance requirements for organisational decisions. The AI constructor performs automated decision specification authoring by translating natural language source material into formal governance specifications, proposed context configurations identifying contextual dimensions along which …

Global Supply Chain Resilience In Emerging Technologies: A Case Study Of Bitcoin Mining, Kishanthi Parella, Carla L. Reyes

Seattle University Law Review

The United States has put into motion bold plans in critical and emerging technologies to bolster its national and economic security.  For example, the federal government created a national bitcoin strategic reserve and a stockpile of other cryptocurrency; while several states have committed to or are considering similar goals.  However, the security of these reserves is dependent on two types of supply chains within the Bitcoin mining industry: analogue supply chains, relating to the physical components needed for Bitcoin mining, and data supply chains, relating to the complex and layered logistical network of actors that create input into the software …

Ai-Powered Pathways To Open Education: Enhancing Practice And Expanding Discovery, Rebecca Mcnulty, Lily Dubach

Faculty Scholarship and Creative Works

Generative AI is changing how we teach and learn, and this session will show practical ways it can support open education. We will look at two everyday challenges: finding aligned open materials and spotting places in a course where open practices could enhance opportunities for collaborative learning. An instructional designer will demonstrate how custom GPTs can review a syllabus and suggest places where open pedagogy could involve students in co-creating and sharing knowledge. A librarian will show how large language models can help locate courses and syllabi that already use open practices, making it easier for faculty to discover and …

Gc Minutes Feb 19, 2026, Graduate Council

Graduate Council Minutes

No abstract provided.

L. Dots To Data: Manufacturing Digital Seismic Traces From Scanned Images Of The Paper Sign Bit Sections From The 1970 Flathead Lake Seismic Survey, Robert W. Lankston

1970 Flathead Lake Seismic Survey

PowerPoint slides and the recorded audio of a lecture presented by Robert Lankston on October 13, 2014 in the University of Montana, Department of Geosciences Colloquium lecture series.

M. Epilogue For The 1970 Flathead Lake Seismic Project Collection, Robert W. Lankston

1970 Flathead Lake Seismic Survey

Re-introduction of the 1980 Qamar-Kogan seismic survey at Flathead Lake with recommendations for building an archive for that project. Article includes a proof-of-concept for converting scanned images of seismic sections recorded in variable density to digital seismic traces.

Ueof, Nick Truong, Pritam P. Karkomar, William J. Beksi

Event-Based Vision - Archive

UEOF is the first synthetic underwater event-based optical flow dataset derived from physically-based ray-traced RGBD sequences. It was constructed using a modern video-to-event pipeline applied to rendered underwater videos. It consists of realistic event data streams with dense ground-truth flow, depth, and camera motion. The dataset is composed of 12 minutes and 51 seconds of data across 13,714 RGB frames. This results in a total of 4.94 billion events across all scenes. UEOF exhibits a high dynamic range of motion with a mean flow magnitude of 6.1 px and a median of 3.6 px. The motion distribution is heavy-tailed. While …

A Transcriptional Program Associated With Neurotransmission In The Living Human Brain, Alexander W. Charney, Lora E. Liharska, Eric Vornholt, Alissa Valentine, Anina Lund, Alice Hashemi, Ryan C. Thompson, Terry Lohrenz, Jessica S. Johnson, Nicole Bussola, Esther Cheng, You Jeong Park, Salman Qasim, Alisha Aristel, Lillian Wilkins, Kimia Ziafat, Hannah Silk, Lisa M. Linares, Brendan Sullivan, Claudia Feng, Beniamino Hadj-Amar Ph.D.

Faculty Publications

At the foundation of neurotransmission, and by extension at the foundation of brain function, are coordinated programs of gene expression involving many thousands of genes. These programs are poorly defined in humans because most modern studies that characterize human brain gene expression use tissue obtained in the postmortem state when neurotransmission and brain function have ceased. Here, to advance knowledge of the gene expression programs at the foundation of neurotransmission in the human brain, gene expression was characterized in 130 prefrontal cortex (PFC) samples obtained from participants of the Living Brain Project (LBP) during neurosurgical procedures in conjunction with intracranial …

Exploring Noise Induced Extreme Events In Neuronal Oscillators Networks And Machine Learning Forecasts, Hariharan S Mr

Theses and Dissertations

This doctoral dissertation comprehensively investigates the underexplored phenomenon of noise-induced extreme events (EE). The word “extreme” is accompanied by an occurring “event” when the deviation is extreme or higher than that of regular occurrences. These extreme occurrences are rare, abrupt, sudden, and irregular, often causing a profound impact on the system and its surroundings. Tsunami, earthquakes, solar flares, and tornadoes are such events that do not occur often but still significantly cause damage to mankind. This thesis particularly focuses on EE in neuronal systems where sudden synchronization can trigger seizures, tremors, and strokes which serve as classic examples of such …

Survival On Image Regression With Application To Partially Functional Distributional Representation Of Physical Activity, Rahul Ghosal, Sunwoo Emma Cho, Marcos Matabuena

Faculty Publications

Technological advancements in wearable devices and medical imaging often lead to high-dimensional physiological signals in the form of images or surfaces. To address these data structures, we develop a novel survival on image regression model with a specific focus on partially functional distributional representation of wearable data. The existing approaches for functional data and survival outcomes have been primarily developed for uni-dimensional functional predictors. Drawing on recent developments in distributional data analysis, we model temporally varying distributional patterns of physical activity (PA) as a partially functional distributional predictor within a semiparametric Cox model framework. We use tensor product splines to …

Environmental Chemicals And Maternal Depression During And After Pregnancy: A Scoping Review, Pengfei Guo, Yunyue Shi, Cindy Nguyen, Haoran Zhuo, Tormod Rogne, Zeyan Liew

Faculty Publications

Purpose of Review

There is increasing evidence that several environmental exposures may pose a risk for depression, including maternal depression. We conducted a scoping review of epidemiological evidence regarding maternal exposure to environmental chemicals and perinatal depression.

Recent Findings

We searched PubMed, Embase, Web of Science, Dimensions, and Scopus, and summarized the findings from 27 articles that examined environmental chemical exposures and maternal depression. Studies of ambient air pollutants (N = 11) showed exposure to NO₂ and PM10 to be most consistently associated with antenatal or postnatal depression. Studies of endocrine-disrupting chemicals, including phthalates (n = 6), …

2026 February 19 - Tennessee Weekly Drought Summary, Tennessee Climate Office, East Tennessee State University

Tennessee Climate Office Weekly Drought Summaries

No abstract provided.

Ai-Guided Binding Mechanisms And Molecular Dynamics For Mers-Cov, Pradyumna Kumar, Lingtao Chen, Rachel Yuanbao Chen, Yin Chen, Seyedamin Pouriyeh, Progyateg Chakma, Abdur Rahman Mohd Abul Basher, Yixin Xie

Faculty Articles

The MERS-CoV (Middle East respiratory syndrome coronavirus) is a zoonotic virus with a high mortality rate and a lack of antiviral drugs, underscoring the need for effective therapeutic methods. Viral entry depends on interactions between viral surface proteins and human receptors, with Dipeptidyl Peptidase-4 (DPP4), a transmembrane glycoprotein, acting as the receptor for MERS-CoV. We employed Molecular Dynamics (MD) Simulations to identify critical interface residues under a high-performance computing (HPC) workflow for accelerated results. Target residue pairs were identified through analysis of salt bridge and hydrogen bond occupancy. The stability of these residues was confirmed through three independent MD Simulations …

Virtue And Artificial Intelligence, Derek Schuurman

University Faculty Publications and Creative Works

As I write this article, my streaming music service is offering new songs that match my current selections. Recommendation engines can make use of AI (artificial intelligence) to recognize my listening patterns to make future song suggestions. In fact, I receive daily nudges from AI systems through internet search suggestions, purchase recommendations, video streaming prompts, auto-completion of texts and emails, and personalization of my social media feeds. These daily prompts and nudges can have major impacts on our habits and practices.

Reconstruction In Philosophy Of Mathematics, Davide Rizza

Dewey Studies

No abstract provided.

Editor's Introduction, Leonard J. Waks

Dewey Studies

No abstract provided.

Front Matter And Table Of Contents, Dewey Studies

Dewey Studies

No abstract provided.

The Serious Business Of Play: Finding Connection, Meaning, And Sometimes Joy, Sasha Barab, Alan Gershenfeld

Creative Nonfiction Magazine

No abstract provided.

John Dewey's Pragmatic Philosophy As A Critique Of Economic Discourse, Maciej Kassner

Dewey Studies

No abstract provided.

Encounter: A Luminous At Existence, Heidi Mckinley

Creative Nonfiction Magazine

No abstract provided.

Empowering Caregivers Through Informal Stem Counterspaces: A Reflective Analysis Of Parental Workshops, Renee Gibert, Desmine Robinson, Virgina Booth Womack

Purdue Journal of Service-Learning and International Engagement

Students’ academic success particularly in mathematics, where early mastery lays the foundation for critical thinking and problem-solving skills, can be directly tied to caregiver engagement (Jeynes, 2012; Epstein, 2018). Algebra by 7th Grade (Ab7G) at Purdue is a Saturday informal STEM counterspace that provides math tutoring and engineering-focused projects to participants in grades 1–10. Students are mentored by Purdue graduate and graduate students. The mentors facilitate mentoring, tutoring, and engineering projects. Ab7G is a hybrid format that meets for six sessions per academic semester on Saturdays. Duke Energy and Chevron provide funding for Ab7G, ensuring accessibility at no cost to …

“Shuddering Before The Beautiful”: Trains Of Thought Across The Mormon Cosmos, Jamie Zvirzdin

Creative Nonfiction Magazine

No abstract provided.

Pluripotent, Amanda C. Niehaus

Creative Nonfiction Magazine

No abstract provided.

Alphabet For The First Year, Jeff Oaks

Creative Nonfiction Magazine

No abstract provided.

Integrating Maps In History Education: Systematic Review Of Digital Mapping Effectiveness In Elementary Schools, Nanda Dini Novayanti, Ganes Gunansyah, Nasution Nasution

Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan

The increasing integration of digital technology in elementary education and the need to enhance students’ spatial and historical understanding have driven the exploration of digital mapping tools in history learning. This systematic literature review examines the effectiveness of digital mapping tools, particularly Google Maps and related technologies, in elementary school history education. The study synthesizes findings from 16 peer-reviewed articles published between 2020-2025, analyzing their impact on student engagement, comprehension, and learning outcomes. The review employed a systematic approach following PRISMA guidelines, with inclusion criteria focusing on digital mapping tools in elementary history education. Results indicate that digital maps significantly …

Fs Agenda 2026-02-18, Northern Illinois University

Faculty Senate Archives

No abstract provided.