Digital Commons Network^™

Space & Defense Volume 16 Issue 2 Fall 2025 (Whole Issue), Editors Space And Defense

Space and Defense

No abstract provided.

Hidrotuango: Understanding The Reach Of Cascading Risk, Juan Guevara, Rob Shields

Fast Capitalism

No abstract provided.

“This Is Not Normal”: The Global Academy’S Resistance To Authoritarianism And Academic Capitalism, Catherine A. Labrenz, Christian Adeleke, Maria Lúcia T. Garcia, Aline Pandolfi, Mara Mattioni, Fabíola Xavier Leal, Marcela Nava

Fast Capitalism

Summary: In the wake of rising authoritarianism and neoliberal retrenchment, academic institutions across the globe are increasingly pressured to suppress dissent, sanitize curricula, and deprioritize justice-based scholarship. Drawing from responses to political repression in Brazil and Argentina, this paper connects present-day U.S. conditions to transnational histories of academic resistance.

Findings: We locate today’s institutional silencing within the broader logics of academic capitalism and authoritarian governance, emphasizing how compliance, rather than critical engagement, is becoming the new normal.

Applications: Drawing on radical traditions of academic and professional resistance from the Americas, we present lessons learned and action steps …

Frantz Fanon / Immanuel Wallerstein: Marxism, Capitalism, And The Now Uncertain World, Charles Lemert

Fast Capitalism

No abstract provided.

Full Issue, Fast Capitalism Editorial Team

Fast Capitalism

No abstract provided.

Masses, Platforms, And The New Data Domination: Repressive Desublimation Revisited, Raymond L.M. Lee

Fast Capitalism

The world now resembles a mosaic of platforms orchestrating subjective responses to myriad digital stimuli in everyday communication and conduct. People appear to find fulfillment mainly through intense engagement with platforms that thrive on data produced by online entanglements. This is a world society of data domination where power is derived from high-tech interconnectivity, focused on an interplay between technological innovations and mass distraction. Platforms are seen as digital monopolies banking on mass online participation for data extraction and control. In that sense, they foster new forms of desublimation that Herbert Marcuse would have regarded as a re-flowering of repressive …

“This Is The New Normal?” Restoring Or Restricting Democracy Today In America, Timothy W. Luke

Fast Capitalism

No abstract provided.

Populism In The Technospheric, Jamie Ranger

Fast Capitalism

I argue that the technospheric condition - a socio-technical reality shaped by social acceleration, the industrialization of memory, and mediatization - serves as a structural catalyst for the repoliticisation of the status quo, necessitating a rethinking of Ernesto Laclau’s discursive approach to populism. Drawing on insights from Bernard Stiegler, Hartmut Rosa, and others, I characterize contemporary social life as deeply entangled with technospheric forces, which exacerbate social problems and provoke counterhegemonic responses. These responses, politically solidified in both emancipatory and reactionary populisms, are not only shaped by populist strategy but also increasingly influenced by algorithmic steering on social media. Thus, …

The Politics Of Disappearance: Mahmoud Khalil And America’S Descent Into Fascism, Henry A. Giroux

Fast Capitalism

No abstract provided.

Still Making It Up As He Goes: Revisiting The Hyper-Rhetorical Presidency In Trump’S Second Term, Richard Holtzman

Fast Capitalism

No abstract provided.

Digital Competence In Early Childhood Formal And Informal Education: Findings From A Systematized Review, Davide Cino, Claudio D’Antonio, Federica Ranzani, Silvia Demozzi, Cosimo Di Bari

Journal of Media Literacy Education Pre-Prints

This article reports on findings from a systematized literature review on digital competence in early childhood (age range, 0-6). Through a quantitative and qualitative analysis of 31 empirical studies, the article provides: 1) a mapping of key information contained in the dataset based on relevant variables inductively and deductively identified (i.e., children’s age, type of educational context, type of digital skill, caregiving actors, description of relevant activities, screen time discourse, risks and opportunities discourse, reference to wellbeing); and 2) a narrative in depth account of digital competence in early childhood in relation to the type of educational context investigated, i.e., …

Cv: Shibu Philip (Project Management), Shibu Philip

Organizational Leadership and Management Department Faculty Curricula Vitae

No abstract provided.

Doc 2025-01 (Amended) Undergraduate Academic Co-Major Policy, University Of Dayton. Academic Policies Committee

Senate Documents

In Spring 2024, the Academic Affairs Committee (AAC) of the College of Arts and Sciences forwarded a proposal to the Executive Committee of the Academic Senate (ECAS) to establish a Neuroscience undergraduate co-major, submitted by the Department of Biology. This proposal also included recommended language to define undergraduate co-majors for inclusion in the College of Arts and Sciences Academic Catalog. Additionally, the AAC advised that the Academic Senate review and approve each co-major proposal to ensure clarity and consistency.

Appendix A: DOC 2025-17 Minor revision to the Undergraduate Co-Major Policy (November 21, 2025)

The Academic Policies Committee was charged by …

Turboindex: Making A Page-Based Db Index Both Memory-Space And Disk-I/O Efficient, Sujit Maharjan, Shuaihua Zhao, Song Jiang

Computer Science and Engineering Faculty Publications - Archive

Traditional Database (DB) systems use a DB buffer, a page-based cache management system, to load data and indexes from block storage devices into byte-addressable main memory. However, this approach is inefficient in terms of space and I/O when key-value pair sizes are significantly smaller than the page size. Inserting a single key-value pair results in reading and writing an entire page, consuming a full page's worth of memory in the buffer. Moreover, the entire page is immediately loaded even when just a single key-value pair is inserted into the page. Also, an infrequently accessed page is likely to be evicted …

2025-11-21 Agenda Book, Morehead State University. Board Of Regents.

Morehead State Board of Regents Agenda Books and Meeting Minutes

Agenda booklet for the Board of Regents meeting of November 21, 2025, which includes the minutes of the meeting held on October 17, 2025 and the agendas of the Audit Committee and AD-HOC Bylaws and Mission Committee meetings held on the same day.

Stars And Shapes: An Investigation Of Stripped Envelope Supernovae Structures Using Spectropolarimetry Observations And Hydrodynamic Models, Sabrina Desoto

Electronic Theses and Dissertations

Supernovae (SNe) are the energetic deaths of massive stars, dispersing heavy elements throughout the galaxies and shaping cosmic evolution across the universe. However, understanding the connections between the evolution of massive stars, their catastrophic demises, and the myriad of observed SNe, remains a fundamental challenge in astrophysics. My work aims to narrow this gap by integrating extensive observational data with advanced hydrodynamical simulations to better interpret SNe observations and understand the origin of their geometry. The observational component utilizes the largest spectropolarimetry dataset of stripped-envelope (SE) core-collapse supernovae (CCSNe) gathered by the SNSPOL project. Analyzing nine Type Ib and eleven …

Mechanisms Of Correlated Neuronal Activity In The Globus Pallidus, Hamza Albawaliz

Electronic Theses and Dissertations

This thesis investigates the mechanisms of correlated neuronal activity in the globus pallidus externus (GPe), a key structure in the basal ganglia. Neuronal activity in the GPe is reportedly decorrelated in healthy subjects but can become highly correlated in Parkinson’s disease. However, high-density neuronal recordings in the GPe of healthy rats reveal a surprising degree of correlated activity. This raises the question of whether intrinsic properties or network connectivity alone can account for such patterns. To explore this, a computational model was developed in which GPe neurons are represented as coupled phase oscillators influenced by experimentally derived phase-response curves and …

Development Of A Non-Faradaic Impedimetric Biosensor Based On Reduced Graphene Oxide For The Detection Of Brain-Derived Neurotrophic Factor (Bdnf), Mariana N. Martins

Electronic Theses and Dissertations

Neurological disorders affect millions of people worldwide. In the case of Alzheimer’s disease (AD), the rising number of cases significantly increases global healthcare costs. Therefore, early detection of biomarkers at the onset of the disease is essential for early diagnosis. This study presents an electrochemical biosensor designed for the detection of Brain-Derived Neurotrophic Factor (BDNF) in human plasma, incorporating reduced graphene oxide (rGO) to enhance signal sensitivity. Dielectrophoresis (DEP) was employed to deposit rGO flakes on the electrode surface, improving conductivity and sensor performance. Electrochemical impedance spectroscopy (EIS) was used to monitor changes in impedance associated with BDNF binding events, …

Frameworks For Repatriation: Moving Beyond Nagpra, Ashley Joplin

Electronic Theses and Dissertations

Museums and similar federally funded educational institutions have been collecting human remains since the Enlightenment era in the 1800s. Since then, these institutions have developed various collections practices that have encouraged the collection of human remains. Often unethical in nature, these collections have harmed historically marginalized communities, such as Indigenous and African American communities. While the ethics of collecting have been under scrutiny for decades, it was not until 1990 under the Native American Graves Protection and Repatriation Act (NAGPRA) that mainstream attention was drawn to the ethics of collections practices.

This thesis explores these collections practices and the repatriation …

High Frequency Dc-Dc Converter Design Optimization, Modeling And Control Based-Wbg Technology., Salah Ahmed Abdullah Eltief

Electronic Theses and Dissertations

The performance of DC-DC power converters is a cornerstone of modern electric vehicle (EV) powertrains, directly governing overall system efficiency, size, cost, and reliability. This dissertation presents a comprehensive performance analysis and optimization of DC-DC converter topologies to determine the most suitable design for high voltage EV applications. The evaluation rigorously compares efficiency, power losses, and physical size under a range of harsh operating conditions. A primary objective is to leverage Wide Bandgap (WBG) semiconductors, specifically Silicon Carbide (SiC), to push the performance boundaries of power conversion. While SiC devices are known for their superior material properties, a clear understanding …

Electronic Structure Prediction Of Medium And High Entropy Alloys Across Composition Space, Shashank Pathrudkar, Stephanie Taylor, Abhishek Keripale, Abhijeet S. Gangan, Ponkrshnan Thiagarajan, Shivang Agarwal, Jaime Marian, Susanta Ghosh, Amartya S. Banerjee

Michigan Tech Publications

We propose machine learning (ML) models to predict the electron density — the fundamental unknown of a material’s ground state — across the composition space of concentrated alloys. From this, other physical properties can be inferred, enabling accelerated exploration. A significant challenge is that the number of descriptors and sampled compositions required for accurate prediction grows rapidly with species. To address this, we employ Bayesian Active Learning (AL), which minimizes training data requirements by leveraging uncertainty quantification capabilities of Bayesian Neural Networks. Compared to the strategic tessellation of the composition space, Bayesian-AL reduces the number of training data points by …

The Digital Economy And Equitable Access To Jobs In The Mountain West, 2023, Isabelle Graham

Undergraduate Research Symposium Lightning Talks

This fact sheet presents data from a Brookings Institution report, “The future of the US digital economy depends on equitable access to jobs,” which compares the share of 2023 employment in highly digital jobs among women and minority groups for select U.S. metropolitan statistical areas (MSAs). This fact sheet reports data for nine Mountain West MSAs: Las Vegas-Henderson-Paradise, NV; Albuquerque, NM; Colorado Springs, CO; Denver-Aurora- Lakewood, CO; Tucson, AZ; Phoenix-Mesa-Chandler, AZ; Salt Lake City, UT; Provo-Orem, UT; and Ogden- Clearfield, UT.

Enhancing Student Success Prediction With Multimodal Machine Learning Models, Senay Berhe

Undergraduate Research Symposium Posters

This project explores how multimodal, fairness-aware machine learning models can enhance early prediction of student success while promoting equity in higher education. Traditional prediction models often rely on static academic or demographic data, which can unintentionally reinforce bias and overlook the complex, behavioral aspects of learning. Our approach integrates engagement metrics from learning management systems, academic performance data, and motivational survey responses to capture a more holistic view of student learning. The predictive framework emphasizes behavioral and psychological features that are both actionable and ethically sound, supporting real-time intervention through the iTOOLS platform. By focusing on engagement consistency and motivational …

Rail Anomalies Dataset For Semantic Segmentation Analysis, Saarah Majid, Arian Izadi, Paul Stanik

Undergraduate Research Symposium Posters

Rail maintenance is a core necessity of upkeep, maintenance, deterioration, and safety implications of large rail systems. Doing so in an orderly and uniform way, however, has proven difficult with the thousands of miles that railways span. Use of computer vision on locomotives during normal operation can allow for a more streamlined process that would eliminate the need for costly specialized equipment and disruptions of normal operations. This project aims to efficiently detect vegetation overgrowth, mud-pumping, and standing water on railways. With the use of machine learning algorithms and dataset curation, models can be trained, allowing them to gain a …

Unpacking The Role Of Virtual Exchange In Promoting Student Well-Being, Mona Pearl, Kelly Tzoumis, Allison E. Hill, Spencer D. Sutherland

Journal of Comparative & International Higher Education

Educational institutions and workplaces are grappling with the task of promoting the well-being of their students and employees. From 2021 to 2023, students from Brazil, Canada, Hong Kong, Mexico, The Netherlands, and the US participated in virtual exchange collaborations in the form of global virtual teams (GVTs) and were assessed pre (n=201) and post (n=251) their GVTs experience. We used structural equation modeling (SEM) to assess changes in learner well-being from participation in GVTs. Based on the impact to student perceived well-being from the GVT experience, we found important results that can be useful for both employers and academic institutions …

Law School Grows Statewide Network With New 3+3 Partnerships, Marisa C. Atkinson

University of Mississippi News

OXFORD, Miss. – The University of Mississippi School of Law has joined forces with Millsaps College and William Carey University to allow undergraduates from those schools to earn law degrees in less time through the schools' new Accelerated Law School Pathway.

American Institute Of Chemical Engineers Honor Two Unh Researchers, Brooks Payette

UNH Today Archive

No abstract provided.

Valorization Of Rice Bran For Functional Bioplastic Fabrication Using Plasma-Activated Water, Saydul Md Safwa, Muhammad Nazrul Islam, Keisha B. Walters, Md Mahfuzur Rahman

Food Science Faculty Publications and Presentations

While plasma has been used for decades for the surface modification of packaging films, in this study, rice bran (RB) and rice bran protein (RBP) films were developed using plasma-activated water (PAW), and the chemical composition, surface structure modifications, surface properties, and thermal properties of these films were characterized. Fourier-transform infrared spectroscopy (FTIR) of the bran and protein films showed that the reactive species in PAW improved hydrogen bonding, as evidenced by the increase in the O-H stretching band at 3300 cm-1 and reduced peak intensity at 2940-2925 cm-1 (C-H stretching), suggesting oxidation of the aliphatic side chains. For the …

Non-Invasive Infection Detection Framework: Smartphone-Based Hematologic And Thermal Biomarker Monitoring, Nafi Us Sabbir Sabith

Dissertations (1934 -)

Infectious diseases remain one of the leading global causes of illness and death in both community and hospital settings. Infections lead to lasting health issues, such as life-threatening chronic conditions or even cancer. Early detection is crucial for timely intervention, such as isolation and treatment. Hematology originated from the Greek word haima, meaning blood. It is a unique discipline in medicine that involves the study of blood and its contents. White blood cells (WBC) are at the forefront of the body’s immune system. WBCs are categorized into five main subtypes: neutrophils, lymphocytes, monocytes, eosinophils, and basophils. Monitoring the total WBC …

Design And Validation Of A Bilateral, Multi-Site 3d-Printed Neuronal Implant For Rodent Electrophysiology, Homero Phelps, Jonathan V. Trinidad, Talha Soluoku

Undergraduate Research Symposium Podium Presentations

Neuronal electrophysiology implants are essential tools in neuroscience for recording brain activity and investigating neurological disorders. Our lab’s previous 3D-printed implant designs centered around a single-site, recording platform that was limited in adaptability, precision, and lacked in vivo validation due to lingering engineering malfunctions. To combat limitations and expand recording capabilities, this project aimed to design and validate a new implant capable of multi-site, bilateral recordings across both brain hemispheres, specifically targeting the hippocampus (CA1 and CA3) and anterior cingulate cortex (ACC), regions critical for learning and memory. Building on the Open Ephys ShuttleDrive model, the implant was redesigned using …