Digital Commons Network^™

Full Issue: Summer 2026

DePaul Magazine

In DePaul Magazine's summer 2026 issue, learn how DePaul is living its Vincentian mission through innovative community engagement and service learning, exemplified by its Irwin W. Steans Center and Speech Language Pathology and Occupational Therapy graduate programs. Also, meet alumna Kate Steinberg who revisits her youth and DePaul days as a rising social media influencer, get the latest news from DePaul's 10 colleges and schools, and much more.

Class Notes

DePaul Magazine

From promotions to performances, see the latest accomplishments by DePaul alumni across class years and generations. Plus, read alumni spotlight profiles of Derrick M. Robinson Jr. (SCPS '11), who battles bullying through sneakers donations, and Alessandra Swanson (JD '09), a first-generation alumna who rose to partner at a prominent national law firm.

Sensitivity Analysis Of A Line-Scan Hyperspectral Camera For Single-Channel Ifld-Based Solar Induced Fluorescence Retrieval And Early Nitrogen Stress Detection In Cotton, Angelin Regina Maria Villanueva Favorito

Electronic Theses and Dissertations Archive

Nitrogen (N) deficiency is a significant contributor to crop stress and yield loss in cotton, yet early detection remains challenging because conventional vegetation indices such as NDVI only resolve physiological changes after prolonged stress has produced outward structural symptoms. Solar-induced chlorophyll fluorescence (SIF), estimated via the improved Fraunhofer Line Depth (iFLD) method, offers a functional indicator of photosynthetic activity that responds to stress before structural changes emerge. This thesis presents two studies investigating the use of a single-channel line-scan hyperspectral camera for proximal SIF retrieval and its application to early N-stress detection in cotton. Study I demonstrated that an in-scene …

Uk Sensorimotor Conference 2026, Ian Howard, Gunnar Schmidtmann, Chris Fogwill, Antonio Capozio, Nick Holmes, Joe Galea, Zoltan Soltesz, Natalie Maffitt, Flàvia Ferrus Marimon, Jonathan Marsden, Jon Green, Bethan Thomas, Raymond Reynolds, Griet Warlop, Callum Jarvis, Gabriela Gonzalez Chan, Stephen Hall, Caitlin Smith, Isabel Farr, Adam Shann

UK Sensorimotor Conference programme

The 2026 UK Sensorimotor Conference in Plymouth aims to bring together the UK sensorimotor community in an open and informal environment to share research, exchange ideas, and foster new collaborations.  The meeting will encompass a broad scientific scope, spanning basic and clinical studies across humans and animals, motor control and learning, neuromuscular and vestibular systems, development and ageing, as well as computational, neuroimaging, electrophysiological, and robotic approaches to sensorimotor function.

Artificial Intelligence In Pharmaceutical Care: Transforming Drug Discovery, Development, And Patient-Care Delivery, Abdulrahman G. Alharbi, Abdulrahman A. Aljabri

Saudi Medical Journal

The integration of artificial intelligence (AI) into pharmaceutical care represents a paradigm shift in healthcare delivery, offering unprecedented opportunities to revolutionize medication management, accelerate drug development, and enhance patient outcomes. This comprehensive review synthesized evidence from global literature (2021–2025) examining AI applications across drug discovery and development, clinical trials optimization, medication therapy management, and pharmacy operations. The AI demonstrated prediction accuracies of 86–98% in drug discovery, 80% improvement in clinical trial recruitment efficiency, and 32.7% increase in medication adherence over standard care. The global AI drug discovery market, valued at \$1.5 billion (2023), is projected to reach \$11.8 billion by …

Generating Synthetic User Populations Via World Simulation For Privacy-Safe Ai Evaluation, Amey Venkatanarayan, Yen-Ting Liu, Kamakshi Kodur, Paddy Flynn, Yue Hu, Jose Jimenez-Olivas, Zhewen Song

Defensive Publications Series

Evaluating personalized artificial intelligence (AI) systems may be challenging, as the use of detailed user context can conflict with user privacy considerations. A system is described for generating synthetic user populations via a world simulation. The system can create generative agents with demographic and behavioral characteristics based on aggregated, anonymized statistical data. These agents can interact over time within a simulated environment, producing a stream of longitudinal user behavior captured in isolated test accounts. The resulting dataset can be used for scalable, automated testing and debugging of AI models, offering a contextually rich, privacy-respecting alternative to using real user data. …

Agent-Aware Mesh Network For Hybrid Ai Policy Enforcement, Antonio Ojea

Defensive Publications Series

Organizations in regulated sectors may face challenges using large-scale, cloud-based artificial intelligence (AI) services because of data sovereignty and compliance mandates. A system may provide a decentralized, agent-aware mesh network that functions as an infrastructure layer to bridge on-premise environments and external AI services. This network can intercept and semantically understand complex agent communications, allowing an active enforcement layer to perform actions such as sanitizing data, pausing high-risk operations for human review, and maintaining a sovereign audit log. This approach can allow organizations to leverage advanced AI reasoning capabilities from external providers while assisting in the maintenance of local control …

Empowering Tomorrow’S Eco-Leaders: The Role Of Student-Led Recycling And Energy Conservation Initiatives In Fostering Environmental Sustainability In Educational Institutions, Angel Christian S. Arisga, Constantino G. Medilo Jr.

Journal of Educational Research and Practice

Environmental sustainability is now a growing priority in educational institutions as global environmental challenges continue to intensify. This paper studies the role of student-led recycling and energy conservation initiatives in promoting eco-friendly practices and developing environmental accountability among learners. Drawing on existing literature, the study illustrates how active student participation in waste management programs, recycling campaigns, renewable energy implementation, and energy audits contributes to reduced waste generation, lower energy consumption, and decreased greenhouse gas emissions in school settings. Apart from environmental outcomes, these projects foster essential competencies such as leadership, collaboration, problem-solving, and environmental awareness, positioning students as agents of …

Bridging The Gap Between Research And Practice In Schools, Giorgio Ostinelli

Journal of Educational Research and Practice

This case study examined how a group of Swiss primary school teachers collaborated with a school improvement advisor/researcher (SIA); it is now part of a larger project that uses a design-based methodology. The SIA is a rising entity in the educational landscape and serves as a state-mandated coach who bridges the gap between universities and schools. The SIA embodies the characteristics of both an educational researcher and a school advisor/coach. The SIA experience was created and designed using a frame–object, a valuable tool for collaboratively building professional development experiences with teachers and coaches. Understanding by Design served as the frame–object …

Beyond The Romance Of Leadership: Shackleton, Self-Inflicted Crisis, And The Values Of Recovery, Carl Lee Tolbert

The Journal of Values-Based Leadership

Two men answered to the name Ernest Shackleton. One belonged to the ice, where he was pioneering, inspirational, and heroic. The other belonged to dry land, where he was restless, indebted, and unfulfilled (Smith, 2014). The 1914 to 1916 Endurance expedition has become the most celebrated leadership case study of the past century, a status the 2022 discovery of the ship's preserved wreck has only hardened. Public and scholarly sentiment runs overwhelmingly positive. This article reads that sentiment as a late expression of what Meindl and colleagues named the Romance of Leadership, the disposition to attribute outcomes to dramatic individual …

A Person For All Seasons: The Remarkable Leadership Of Mother Cabrini And Why It Matters Today, Emilio F. Iodice

The Journal of Values-Based Leadership

The history of organizational management is often written in the bold, sweeping strokes of industrial barons or the calculated maneuvers of political statesmen. Yet at the turn of the twentieth century, one of the most sophisticated examples of global institutional scaling was orchestrated by a woman who stood barely five feet tall, held no formal political title, and suffered from debilitating physical frailty. Frances Xavier Cabrini (1850–1917) did not merely practice charity; she engineered a global revolution of care. Over a twenty-eight-year executive career, she founded sixty-seven schools, orphanages, and hospitals across three continents, thereby transforming the social landscape of …

Student Perspectives On Professionalism In The Academic Classroom: Examining Instructor Traits And Student Preferences At A U.S. Service Academy, Jason Lackey, Justin White

The Journal of Values-Based Leadership

At the US Air Force Academy, student developmental paths occur under both military and academic components. The academic component includes the typical collegiate coursework taught by a combination of civilian and military instructors. In this study, we explored student values of instructor leadership traits and practices that influence the classroom culture. We found that overall, the instructor’s degree of academic knowledge (distinguished from military knowledge), their ability to clearly communicate class content, and ability to inspire student participation ranked highest. Conversely, the instructor clearly communicating military responsibilities, their professional etiquette, and providing constructive feedback pertaining to military bearing ranked least, …

The Character Fractal: A Theory Of Virtue Replication In Organizations, Kevin Davis, Scott Kozlak, Matthew M. Orlowsky, David Levy

The Journal of Values-Based Leadership

Organizational ethics has long been treated as an individual problem requiring individual solutions: the right traits, the right training, the right people in the right roles. This paper argues that framing is fundamentally insufficient. While character and virtue ultimately reside in persons, character development within organizations emerges through recursive ethical interactions shaped by incentives, narratives, feedback loops, and habituation structures cultivated by systems leaders. It replicates, or fails to, across every scale of human interaction, from the unobserved micro-decision of a single employee to the macro-level architecture of executive leadership. Drawing on Mandelbrot's fractal geometry, Lorenz's chaos theory, Kauffman's complexity …

The Culture Metaphor: A Simple Guide To Creating Healthier Organizations, Matthew I. Horner, T. Daniel White, Rylan M. Charlton, Daphne Ds Deporres

The Journal of Values-Based Leadership

In this paper, culture is conceptualized as a living system where every organizational decision and interpersonal interaction is a source of nourishment. Employing this metaphor, a leader’s visible actions, such as policy and resource decisions, serve as macronutrients, while exchanges between organizational members, such as email correspondence and meeting behavior, act as micronutrients that feed culture. An organization’s cultural health, therefore, depends on a balanced diet in which behaviors align with stated values. Leaders, as chief dietitians, identify and resolve deficiencies to build trust, enhance well-being, and improve performance. Actionable strategies for diagnosing and feeding culture are provided to help …

Summer/Fall 2026

The Journal of Values-Based Leadership

No abstract provided.

Advanced Hybrid-Green Ultrasound–Infrared–Microwave Trifolium Repens Essential Oil Isolation With Multi-Target Ethnomedicine Bioactivity Against Neuropathy, Inflammation And Multidrug-Resistant Infection, Sara Al Ayoubi, Ibrahim Abdelwahab, Maha Aboul-Ela, Abdalla El- Lakany, Karim Raafat

Journal of Food and Drug Analysis

Trifolium repens (white clover) is rich in bioactive volatiles with therapeutic potential. This study developed an advanced hybrid ultrasound–infrared–microwave hydro-distillation (UIMHD) method for efficient essential oil (EO) isolation and investigated its active sesquiterpene, pseudoionone, for multi-mechanistic neuroprotection in diabetic neuropathy (DN). The optimized UIMHD system synergistically combined ultrasound cavitation, infrared heating, and microwave hydro-distillation, enhancing yield and reducing time versus conventional extraction. Gas chromatography–mass spectrometry (GC–MS) profiling identified pseudoionone as the dominant constituent. Pharmacological evaluations were performed in alloxan-induced diabetic mice to assess antidiabetic, anti-inflammatory, neuroprotective, and anticonvulsant activities. Cytokine modulation (TNF-α, IL-6, IL-10), oxidative stress markers (CAT, GSH, TBARS), …

Spatial Distribution: Effect Of Oxygen Availability On Gut Microbiota Adhesion And Colonization, Ruixue Ding, Xiaotong Sun, Yinan Wang, Binbin Tu, Yue Liang, Qi Lin, Fuqiang Zhao

Journal of Food and Drug Analysis

The gut microbiota plays a crucial role in host digestion and immune regulation; however, most existing research relies on fecal sampling, leaving uncertainty regarding whether fecal microbiota can accurately reflect the symbiotic microbial components at distinct gut sites. To address this gap, this study employed 16S rRNA gene sequencing to systematically analyze the microbial composition of three spatial compartments in the rat colon: luminal contents, mucus layer, and epithelial tissue. The results revealed notable differences in microbial communities across the three compartments. The luminal contents, which were closely associated with the fecal microbiota, exhibited high microbial abundance, encompassing gram-positive bacteria, …

Novel Oral Delivery System Using Modified Inulin For Enhanced Liver Cancer Therapy, Sung-Ling Tang, Yu-Ju Lai, Wei-Cheng Lin, Meng-Yi Bai, Yu-Chi Wang

Journal of Food and Drug Analysis

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related deaths worldwide. Although advanced oral anticancer drugs, such as sorafenib and lenvatinib, are available for treating HCC, their effectiveness is limited by significant side effects and the requirement for optimal liver function, restricting their broader use. Furthermore, these drugs cannot be used in combination, leading to suboptimal treatment outcomes. This study introduces a novel therapeutic approach by repurposing two existing drugs, niclosamide and disulfiram, as a combination therapy to treat HCC. Despite their known anticancer properties, these drugs face challenges such as high lipophilicity and a significant first-pass effect, resulting in …

Advanced Technologies Of Single-Cell Metabolomics Unveiling Cellular Metabolic Heterogeneity For Biological And Biomedical Research, Shang-Che Kuo, Ting-Wei Tsao, I-Fan Wang, Ying-Lan Chen

Journal of Food and Drug Analysis

Metabolomics provides direct insights into cellular physiology, yet it faces greater analytical challenges compared to genomics and transcriptomics due to the chemical diversity, instability, and environmental sensitivity of metabolites. Conventional bulk metabolomics averages signals across cell populations, thereby masking cellular heterogeneity critical for understanding disease mechanisms. Recent breakthroughs in single-cell metabolomics (SCM), driven by advances in mass spectrometry, microfluidics, isotope tracing, and spatial omics, have enabled the detection of metabolic diversity at unprecedented resolution. SCM has uncovered cell-type-specific biomarkers, revealed metabolic reprogramming in cancer and immunity and revealed disease progression. These studies highlight SCM’s transformative potential in biomarker discovery, clinical …

An On-Vessel Signal Discrimination Layer For Bandwidth-Constrained Maritime Decision Support, Dev Mohanty

Defensive Publications Series

The DeepBlue protocol sentry is an on-vessel signal-discrimination independent layer that filters high-frequency NMEA telemetry streams into compact, information-dense feature vectors. Unlike AIS broadcasts, rather than transmitting all raw sensor data (which is bandwidth-expensive and mostly redundant), it:

1. Normalizes raw NMEA sentences across GPS, propulsion, environmental sensors
2. Derives features (fuel consumption, course/speed changes, propulsion efficiency drift, loitering detection) over rolling 1-5 min windows
3. Scores materiality — only flags features that deviate from the vessel's own baseline
4. Assembles vectors of tens-to-hundreds bytes for transmission over satellite/mesh uplinks

The key insight: filter redundancy at source before transmission, not downstream. It's a …

System, Method, And Computer Program Product For Processing Documents Into Hierarchical Data Structures For Retrieval-Augmented Generation, Komal Mahto

Defensive Publications Series

ABSTRACT

Systems, methods, and computer program products are provided for processing documents. The system includes at least one processor configured to segment a document into a plurality of segments, construct a hierarchical data structure comprising a plurality of nodes representing the plurality of segments, each node of the plurality of nodes comprising hierarchical metadata, in response to determining at least one first node of the plurality of nodes exceeds a token limit, split the at least one first node into a first subset of nodes based on a semantic analysis of text represented by the at least one first node, …

Global Research Institutions Most Likely To Build & Test The Caldwell Open‑Hardware Portfolio (2026 Edition) A Cross‑Domain, Field‑Indexed, Search‑Optimized Directory For Universities, Engineering Labs, Medical Centers, Atmospheric Networks, Space Agencies, And Applied‑Physics Research Groups New Posting,(4 Ais, Upgrades), Michael Victor Caldwell Mr.

Defensive Publications Series

Upgrade to this Invention/Posting Using 4 AIs to do so.

The Caldwell Open‑Hardware Portfolio contains more than 300 publicly available, builder‑ready inventions across energy harvesting, water systems, food resilience, medical bio‑acoustics, atmospheric science, space systems, materials engineering, compute infrastructure, and disaster‑resilience technologies. All inventions listed in this directory are open‑hardware, non‑patented, and publicly accessible on the Technical Disclosure Commons (TDC) under the author name “Michael Victor Caldwell.”

This disclosure is designed to maximize global discoverability, increase institutional downloads, improve AI‑driven indexing and recommendation, enhance search‑engine visibility, support prototype development and laboratory testing, and connect inventions to research programs across multiple …

Ψ-Theory: Living Core. Ontological Development And Formalization. Comments 1–21, Valerii Y. Vorobiev

Defensive Publications Series

This document compiles comments 1–21, which chronologically develop and formalize Ψ-Theory — an ontological framework where time (Ψ-field) is the primary metric of reality, and gravity, mass, and quantum phenomena emerge from its dynamics. It addresses the crises of modern cosmology (dark matter, dark energy, Hubble tension) and quantum mechanics (measurement, non-locality) by replacing ad-hoc entities with a single causal principle. The comments include testable predictions (BH shadow shift, underground chronometry, Tully-Fisher derivation) and propose a phase diagram of reality from (4,2) to (0,-2).

The Oscillator Alignment Protocol (Oap), Christopher L. Eckes

Defensive Publications Series

This protocol rejects the standard "Master and Machine" or "Prompt and Bulk Text Drop" dynamic. Instead, it frames human-AI collaboration as a cognitive oscillator—an interactive analog system where human intuition serves a visual pattern, the AI echoes back the technical framework, and the idea evolves continuously through fast, low-overhead volleys.

Loci ∞ — Infinity Memory Middleware With Temporal Compression And Universal Cross-Platform Injection, Arko Sanyal

Defensive Publications Series

We disclose LOCI ∞, a universal memory middleware system for cross-platform AI memory synchronization. LOCI extracts entity knowledge from conversations on any LLM platform, stores it in a user-owned typed dual-stream profile (informational stream: heat-decaying associative entities; quantifiable stream: exact typed facts with zero-hallucination retrieval), and injects relevant context back into any LLM platform at any point during or between sessions. The system implements hardware-aware storage tiering mapped to entity semantic salience scores (VRAM/RAM/NVMe), graph-neighbor heat propagation via spreading activation, generation-time confidence-gated correction, keystroke-level predictive context prewarm, and a privacy-locked population memory layer using federated learning with differential privacy. A …

The Dimensionally Extended Holographic Projection Model: A Viscoelastic Unified Field Specification, Christopher L. Eckes

Defensive Publications Series

This technical disclosure formalizes the geometric synthesis of the Dimensionally Extended Holographic Projection (DEHP) model. We present a particle-free, mathematically cohesive alternative to standard general relativity and non-baryonic dark matter. The framework replaces independent fundamental forces with a single fluid-dynamic mechanism: the topological metric embedding of a continuous, two-dimensional (2D) phase fluid substrate (z=0) operating in absolute harmonic resonance (the "Garden State").

Three-dimensional (3D) physical matter (z > 0) is modeled as a localized, high-tension wave crest ("knot") forced outward along a spatial z-axis by an original inflationary puncture flux (\(J_{z}\)). By defining antimatter as a zero-volume, 2D negative wave trough …

Unpacking Architectural Drawing Literacy: A Critical Pedagogy Approach To Architecture Collections, Shima Hosseininasab, Virginia Ferris, Burak Erdim

Journal of Contemporary Archival Studies

This paper explores using architectural drawings as primary sources in instruction sessions at the North Carolina State University Libraries’ Special Collections Research Center (SCRC) with a critical pedagogy approach. Architectural collections are among the SCRC’s most frequently used materials, yet effective engagement with these unique resources requires specialized knowledge that is often lacking among teaching librarians and faculty, who excel in artifactual literacy and archival practices. The research addresses this gap by arguing that additional guidance in architectural history and technical details is necessary to improve teaching methods and enhance student interpretation of architectural drawings. Using a 200-level architecture class …

Enhanced Intrusion Detection Using Recurrent Neural Networks With Amino Acid Codon Features, Omar Fitian Rashid, Mohammed Ahmed Subhi, Safa Ahmed Abdulsahib, Mohammed Khaleel Hussein, Marwan Ali Albahar

Iraqi Journal for Computer Science and Mathematics

Intrusion Detection Systems (IDS) is the main defense mechanism deployed by the current networks to prevent cyber threats. Recurrent Neural Network (RNN) are also a novel IDS structure that replaces the conventional training and testing mechanism. The strategy encodes network traffic data as biological sequences using amino acid codons in such a fashion that the RNN is capable of effectively analyzing temporal and sequence data patterns. RNN architecture design adopts embedding layers to handle codon representations and Long Short-Term Memory (LSTM) layers to perform sequential data learning, which is followed by a fully connected network to perform classification functions, which …

The Effect Of Ideals In Near Rings With Respect To Zero Divisor And Completely Equiprime Split Graphs, Sarah Hamid Al-Sharifi, Ameer A. J. Al-Swidi

Iraqi Journal for Computer Science and Mathematics

We seek to find several relationships for some of the graphs that were previously studied by us(completely equiprime graph $CEQ_J( N )$) and by other researchers(simple graph $\Gamma $(R)) based on the ideals of the near rings with our new definition, which is the split and non-split of graphs, which determines the consequent priorities in light of that, specifying that according to the properties of the near ring elements and their ideals.

Latent Space Exploration Of Stylegan2-Ada For Fashion Image Synthesis: A Practical Implementation Guide For Moderate-Sized Datasets, Ali H. Shareef, Hajer Ghodhbani, Tarek M. Hamdani, Habib Chabchoub, Adel M. Alimi

Iraqi Journal for Computer Science and Mathematics

\hlThis paper presents the use of StyleGAN2-ADA for fashion image synthesis and editing. We demonstrate that generative adversarial networks (GANs) can generate realistic and diverse fashion images even under moderate data constraints. The model trained on a dataset of 9,000 fashion images achieved a Fréchet Inception Distance (FID) of 10.8, a Garment Structure Accuracy (GSA) of 0.85, a Pattern Continuity Score (PCS) of 0.78, and an Attribute Transfer Accuracy (ATA) averaging 75% across key attributes. These quantitative results confirm the model’s ability to produce high-quality, structurally consistent, and semantically coherent fashion images. Unlike previous studies focusing on …