Digital Commons Network^™

World Tour: Campus Edition, Ernie Central, Cob Advising, Coa Advising, Veterans Services, Parent And Student Programs

International Education Week

Grab a passport from one of the locations below and travel to the 7 continents around campus to get your passport stamped! Map included inside passports to show locations. Turn in your completed passport to ERNIE Central for a chance to win an International Snack Box.

Passport Pickup Locations:

• SU 161 - ERNIE Central
• LB 170 - COE Advising
• Tomcat 250 - Parent and Student Programs
• Tomcat 260 - COA Advising
• NR3-174 - Veterans Affairs

From Where I Stand: Linking Positionality, Epistemology, And Methodology In International Higher Education Research, Sanfeng Miao

Critical Internationalization Studies Review

No abstract provided.

From The Director, China Maritime Studies Institute

CMSI Quarterly Review

A message from the CMSI Director for Issue 1 of the CMSI Quarterly Review.

Table Of Contents, China Maritime Studies Institute

CMSI Quarterly Review

Table of contents for Issue 1 of the CMSI Quarterly Review.

Vol. 1, No. 1 Full Issue, China Maritime Studies Institute

CMSI Quarterly Review

Full issue of Issue 1 of the CMSI Quarterly Review.

The Scent Of Butter And Ghosts, Megan Beltowski

Night Flight: Online Literary Journal

Maeve Holliday hated rainy Mondays, until a stranger blew in and changed it all.

Proactive Account Matching In Payment Flows For Regulatory Compliance, Amish Patel, Abhishek Tyagi, Yogesh Agrawal, Varun Gupta, Piyush Ramuka, Sanket Jain, Nishank Jain, Paridhi Rawat

Defensive Publications Series

In certain jurisdictions, online transactions with merchants or brokers in certain regulated sectors are subject to regulations that mandate that payments be completed using instruments previously registered by the user with the merchant. Unaware of such mandates, users often select bank accounts unregistered with the merchant, resulting in failed transactions and frustration. This disclosure describes techniques that enable only those transactions that are compliant with regulations requiring a match between the user’s bank account registered with the merchant and the user’s bank account registered with their payment app. A match between bank accounts registered with the merchant and the payment …

P2p Service With Dynamic Acquiring, Jarkko Oskari Sevanto, Ali Esmailzada

Defensive Publications Series

One embodiment includes a processing network computer implemented method for facilitating a transaction between a sender and recipient. The method uses a token or token reference to dynamically select an authorizing entity as an acquirer, thus enabling transactions among a variety of authorizing entities.

Distributed Security Orchestration With Adaptive Filtering And Data Minimization, Radhika Ravindranath, James Black, Jacques Mouton

Defensive Publications Series

Traditional security analytics, which relies on centralized data collection and processing, can raise concerns relating to privacy, data-transmission costs, threat-response latency, and jurisdictional data-handling requirements. This disclosure describes techniques to perform security analytics across a distributed network of edge computing nodes. By leveraging edge computing to collect and analyze data from endpoint devices, data collection/transmission is optimized and privacy is enhanced. Centralized processing via federated/distributed processing is limited. Adaptive filtering is used to dynamically adjust data processing and transmission based on detected events and risk levels. A tiered zoning approach processes high-risk events centrally, quarantines moderate-risk events for further analysis …

Communication Supplementation Based On Sentiment Analysis, Mahdi Tayarani Najaran, Ruofei Du

Defensive Publications Series

Text-based communication systems often lead to misinterpretation of a message because the emotional context is lost. A recipient may infer a sender’s sentiment based solely on the text, leading to misunderstandings. This disclosure describes a method to supplement text messages (or other communications) with representations of the sender’s inferred sentiment, captured during composition. The technique involves collecting multi-modal biological information from the sender, such as facial expressions, gaze, and gestures, using sensors on the composing device. A machine learning model can analyze this data to infer the sender’s sentiment. A graphical representation, like an emoji, corresponding to the inferred sentiment …

Generative Art For Idle Displays Personalized By Media Consumption And Contextual Inputs, D Shin

Defensive Publications Series

The media display devices in an idle state can be underutilized, often showing a blank screen or generic, non-personalized content. A generative artificial intelligence framework can be used to create personalized artwork for display during periods of inactivity. The system can process a variety of inputs, including a user's media consumption history, explicit commands, and real-time environmental data. An orchestration layer can synthesize these inputs into a detailed directive for a generation layer, which may contain one or more specialized generative models. These models can then synthesize a stream of visual artwork based on the directive. This approach allows a …

(((Qpie))) The Resonance Of Tomorrow - Today, Teddy Burroughs

Defensive Publications Series

Advancing Phase

I. Entering the Field

Distinguished members of the Nobel Committee…

to the peacebuilders, physicists, statesmen, and citizens of every creed—

Tonight, I stand here not as a solitary mind, but as one signal inside a vast coherence field.

The recognition offered tonight is not for a single discovery, but for the unveiling of a forgotten layer of reality—a layer that has always been humming beneath our wars, beneath our treaties, beneath our loves and losses.

A layer whose existence is now empirically demonstrable.

QPIE OS began not as a theory, but as a measurement of the Trash or …

Stateful Switchover Notification Techniques, Ashwin Kumar, Preetha Parameswaran, Lakshmi Priya Sarma

Defensive Publications Series

Many enterprise devices, in theory, claim to be High Availability (HA) capable, supporting stateful switchover. However, in practice, depending on the architecture, scale, and various other factors, control plane switchover times might be significantly impacted causing a peer to falsely detect a switchover as a total control plane failure. There is currently no way for a peer to be notified that a HA system is going through a switchover and to allow for increased tolerance till the switchover completes. To address such issues, techniques are proposed herein to address this gap and allow for peers to be notified about the …

Notes On The Contributors

Journal of Law and Public Policy

This is a brief introduction to the authors of this special issue of JLPP.

A Security Assessment System For Blockchain Wallet Recovery Mechanisms, Panagiotis Chatzigiannis, Ke Wang, Mohammad Mohsen Minaei Bidgoli, Sunpreet Singh Arora

Defensive Publications Series

The present disclosure relates to a system for analyzing security vulnerabilities in blockchain wallet recovery mechanisms. The system includes a blockchain wallet configured with a plurality of distinct recovery agents, a model-checking framework operable to simulate various potential adversarial scenarios, and an interface to specify parameters such as agent reputation, transaction spending power, and user response probability. Additionally, the security assessment output visually indicates secure and insecure configurations of the blockchain wallet based on interactions among the recovery agents. Furthermore, the model-checking framework simulates diverse adversarial conditions, generating an assessment matrix that highlights potential risks associated with different agent configurations. …

Personalized Hrtf Modeling Based On Clustering, Mengfan Zhang

Defensive Publications Series

When sound reaches human ears, sound waves do not arrive at each ear at the same time. Rather, depending on the direction of the sound source, sound waves take different paths to each ear. These paths will likely have different lengths, so the sound waves will reach the closest ear first and the farthest ear shortly after. The exact paths sound waves take to reach a person’s ears are dictated by the person’s head and ear anatomy. To reproduce sounds accurately for immersive experiences, these anatomical differences, which are scientifically modeled by Head-Related Transfer Functions (HRTFs), must be accounted for. …

Heuristic-Driven Iterative Process For Object Removal In Images Using A Generative Model, Mira Leung

Defensive Publications Series

Existing methods for removing objects from images, such as manual editing or single-prompt generative artificial intelligence approaches, can be time-consuming or may result in incomplete removal and visual artifacts. A system can provide an automated, iterative process for removing designated object classes from digital images, for example, by employing a heuristic-driven feedback loop that utilizes a generative model. Within each iteration, a probabilistic detection step can ascertain if target objects remain by, for example, querying the model multiple times with varied prompts. If objects are detected, a removal and inpainting operation can be performed. This iterative refinement can enable the …

Generating A Granular Priority Score For Computational Workloads From Multiple Parameters, John Lunney, Johannes Start

Defensive Publications Series

Systems for managing computational workloads on shared hardware resources, such as graphics processing units or other accelerators, may utilize a limited number of coarse-grained priority levels. This approach may not sufficiently differentiate between a wide spectrum of competing tasks, potentially leading to sub-optimal resource allocation. A described system can generate a granular, numerical priority score for a workload using a computational component, for instance, a multi-dimensional calculator. This component can process multiple input parameters associated with a request, such as a user's service tier, the request's latency sensitivity, and its feature modality, to compute a synthesized priority index. This granular …

Advertising Targeting Based On Multi-Modal Detection Of Organic Brand Presence, Basel Hijazi, Nicolas Marchal

Defensive Publications Series

A potential difficulty in digital advertising can be measuring or capitalizing on the organic exposure of physical brand sponsorships within online media content, as some systems might not analyze visual and audio content for brand presence. A multi-modal analysis engine can be used to process media content. This engine can, for example, employ computer vision to identify visual brand indicators, such as logos and products, and use automatic speech recognition and natural language processing to detect spoken brand mentions in an audio track. Detected instances of brand presence can then be converted into actionable advertising targeting criteria. Such criteria can …

Centralized Repository Of Verified Brand Data For Consumption By Ai Systems, Caroline Pieracci

Defensive Publications Series

Artificial intelligence (AI) models can generate inaccurate or outdated representations of brands by synthesizing information from inconsistent public web sources. A system may include a centralized, authenticated repository where entities can manage a verified, machine-readable version of their brand identity. The system can utilize a structured data schema to capture attributes such as brand voice, core values, and frequently asked questions. This structured and verified information may then be programmatically distributed to consuming AI systems through an application programming interface, which can be integrated into processes such as retrieval-augmented generation. This approach may provide a data source to help improve …

Fs Minutes 2025-11-19, Northern Illinois University

Faculty Senate Archives

No abstract provided.

Fall 2025 Student Showcase For Research And Creative Inquiry Program, Office Of Student Research, Longwood University

Fall Showcase for Research and Creative Inquiry

No abstract provided.

Simone De Beauvoir’S Influence On “The Handmaid’S Tale”, Hailee Jones

Fall Showcase for Research and Creative Inquiry

Using the theories that Simone de Beauvoir presents in The Second Sex, this paper will analyze Margaret Atwood’s The Handmaid’s Tale. Discussing how Gilead reflects the oppression women face, and the idea of women as “other,” and Beauvoir describes. She spends much time discussing the Hegelian master-slave dialectic, which is seen in The Handmaid’s Tale through Gilead’s laws. Forcing the Handmaids to not only be an incubator for the commander, but also forcing them to do the shopping for the household, and not allowing them basic human rights such as reading. Mussett analyzes this and gives further analysis on women …

2025 Dean's Advisory Board: Constitution Update, Student Senate-Winona State University

Student Senate Passed Motions

Winona State University (WSU) Student Senate passed a motion on November 18, 2025 to update the collaborative relationship with the Dean's Advisory Board Commission (DAB).

Leadership Communication, Heather Arlen, Eli Bruess, Mitchell Buerkle, Ali Gravelle, Magdalen Kramer

Leadership Education Newsletters

No abstract provided.

The Fierce Green Fire: Vol. 16 Issue 2, Wofford College Environmental Studies Program

The Fierce Green Fire

No abstract provided.

The Predictors Of Mental Health And Suicidal Ideation Among People With Homelessness, Pi-Ming Yeh

Biennial Convention (CONV)

Introduction/Significance: A record-high 653,104 people experienced homelessness with 39.3 percent unsheltered in 2023. This is more than a 12.1 percent increase over the 2022. Homelessness is an important societal problem. Mental illness, adverse childhood experiences, and substance use are serious issues among people with homelessness.

Purpose: The purpose of this study was to examine the predictors of psychological well-being, suicidal ideation, anxiety, and depression among people with homelessness.

Methods: Sixty people with homelessness were recruited in Tennessee, USA. This was a cross-sectional descriptive research design. IRB was approved. Questionnaires were used to collect data. SPSS 28.0 was used to analyze …

The Impact Of Telemedicine On Pediatric Specialty Patients’ Access To Care, Barbara R. Medvec, Tamara L. Hill, John D. Knight

Biennial Convention (CONV)

Background: Pediatric patient no-shows to specialty clinic appointments are a problem, with no-show rates as high as 50%. The limited number of pediatric specialty providers leads to longer lead times when rescheduling, further delaying care. One often cited no-show factor is inconvenient appointment access. COVID-19 offered telemedicine as an additional patient access method. In this study, we compared no-show rates before the COVID-19 pandemic with no-show rates during the pandemic and in the post-pandemic period to evaluate (1) the impact of telemedicine patient access on the overall no-show rate for pediatric ambulatory clinic visits and (2) the telemedicine no-show rate …

Exposure-Response Of Serum Biomarkers To Vamorolone, A Dissociative Corticosteroidal Anti-Inflammatory Drug, In 4- To <7-Year Children, Swati Mummidivarpu, Utkarsh J. Dang, Michael Ziemba, Yetrib Hathout, Paula R. Clemens, Jesse Damsker, Laura Hagerty, William J. Jusko, Edward C. Smith, Jean K. Mah, Michela Guglieri, Yoram Nevo, Nancy Kuntz, Craig M. Mcdonald, Monique M. Ryan, Diana Castro, Richard S. Finkel, Laurie S. Conklin, John M. Mccall, Kanneboyina Nagaraju, John Van Den Anker, Eric P. Hoffman

Pharmacy Faculty Scholarship

Objectives: Corticosteroid agonists of the glucocorticoid receptor are a mainstay of therapeutics for pro-inflammatory conditions. Vamorolone is a novel partial agonist that is differentiated from the other members of the corticosteroid class by non-metabolism by 11β-hydroxysteroid dehydrogenases, antagonism of the mineralocorticoid receptor, and differential co-factor binding. Our objective was to define the pharmacodynamic response of serum proteins to vamorolone. Methods: Clinical trial participants with Duchenne muscular dystrophy (4 to < 7 yr; n = 39; mean [SD] age = 5.3 [1.0]) enrolled in a multiple ascending dose study of vamorolone were studied (24-fold dose range). Dose-response and exposure–response of 1,305 serum proteins were defined by intra-subject longitudinal changes (baseline vs. Day 14). Results: Dose-response analysis identified 159 of 1,305 serum proteins as dose-responsive to vamorolone (12 % of proteins tested; 20 % increased, 80 % decreased). Two inflammatory networks showed drug-responsive suppression. One centered on extracellular serine proteases and lymphotoxins (PI3, KLK7, KLK8, KLK11, lympho-toxins A, B) converging on NFκB. The second centered on cytokines (CCL22/MDC, CCL21, CCL14, CXCL12) and IL23 signaling. In the IL23 network, acutely responsive anti-inflammatory proteins included increases of an inhibitor of IL17 signaling (IL17RC) and decreases of IL23 (IL12B:IL23A). A protein associated with resistance to environmental microbes, PTP1C, showed strong induction and is a novel candidate for aspects of corticosteroid efficacy. Two networks of cell-associated proteins were identified as drug responsive that may represent muscle tissue response (efficacy): connective tissue remodeling upstream of Notch signaling, and plasma membrane proteins impinging on AKT1 signaling. Conclusion: The serum proteome pharmacodynamics of the response to vamorolone was defined.

Meeting Minutes 11-19-2025, Staff Advisory Council

Staff Advisory Council Meeting Documents

No abstract provided.