Digital Commons Network^™

In-File Stapled Freshness: Hash-Chain Validity Tokens Written Into A Frozen Self-Serialized Document Via A Length-Preserving Neutralized Zone, With Fail-Stale Offline Verification, Michael Benaudis

Defensive Publications Series

Revocation of frozen offline credentials — single-file HTML documents, PDFs, or other self-serialized digital credentials verified without any network, server, or public-key infrastructure — is information-theoretically constrained: a file sealed at issuance cannot learn of a later revocation event unless some information reaches the verification context. This disclosure does not remove that channel; it reduces it to one short, public, unforgeable hash-chain token per validity period, relayable by any untrusted party, and relocates the freshness proof inside the credential file itself. At issuance, a hash-chain tip (Micali NOVOMODO style) and period parameters are embedded in the credential's signed core, attested …

Canonical Multi-Zone Neutralization For Self-Serialized Documents Carrying Heterogeneous Hybrid Signatures, A Self-Referential Integrity Digest, And A Post-Signing Timestamp Anchor, Michael Benaudis

Defensive Publications Series

A self-serialized digital document — a single HTML file, PDF, or archive — sometimes must embed, within its own byte stream, three mutually dependent cryptographic elements: a hybrid digital signature combining a classical algorithm (ECDSA P-256) with a post-quantum algorithm (ML-DSA-65, FIPS 204); a self-referential SHA-256 integrity digest computed over the document's own serialization; and a blockchain timestamp anchor reference (Bitcoin, Ethereum) whose value becomes known only after the document has been hashed and submitted for anchoring. Embedding all three inside one serialized body creates a circular dependency that naive ordering cannot resolve: signatures must cover content that sits next …

Proportional Transmit Power Allocation Based On Channel Quality In Multi‑Antenna Systems, Sangwook Suh, Scott Huang, Ayrton Chen, Guosen Yue, Han Kim, Taeyoon Kim, Cp Chiang, Peng Wu, Insoo Hwang

Defensive Publications Series

In cellular networks, a user equipment device utilizing multiple transmit antennas might experience high block error rates when a gain imbalance exists between transmission paths. To handle multi-antenna transmissions, conventional approaches might allocate an equal amount of transmission power across available antennas. However, this equal allocation might expend energy on attenuated channels, lowering an overall signal-to-noise ratio at a receiving station.

A method is disclosed that assigns transmit power proportionally based on an evaluated channel quality for each antenna path. The method evaluates a reference signal received power for individual paths and directs a larger portion of transmission power to …

Persistent Driver Signatures For Software-Defined Vehicles, Sean C. Keys, Karsten Knese

Defensive Publications Series

This disclosure describes a system that enables software-defined vehicles (SDVs), smart cars, or connected autonomous vehicles to adjust their advanced driver assistance systems (ADAS) based on a persistent driver signature. The driver signature acts as a portable digital identity or user profile representing a driver’s unique physiological and behavioral tendencies, such as typical steering and braking patterns. Instead of storing raw data like video files, the system relies on a cloud database to store a secure mathematical model (a vector or tensor) that represents these individual habits. At the beginning of each trip, the SDV identifies the driver using a …

Automated Context-Aware In-Video Advertising Through Multimodal Generative Models, Lakshmi Venkatesh Kakumani

Defensive Publications Series

The disclosed technology employs an automated pipeline to dynamically insert context-aware digital advertisements into video streams. A vision-language model (VLM) processes decoded video frames to perform spatiotemporal affordance and obstacle detection, identifying semantic regions suitable for ad placement. If an existing object obstructs the placement area, a physics-aware preparation layer performs 3D semantic object translation. This object translation directly  morphs an existing unbranded scene object into a branded alternative while preserving the original scene physics and lighting. The system generates a joint multimodal embedding vector representing the immediate semantic and audio context of the video. This vector guides an image …

Process For The Preparation Of Intermediates Of Resmetirom, Msn Laboratories Private Limited, R&D Center; Srinivasan Thirumalai Rajan; Revu Satyanarayana And Siddireddygari Maheshwar Reddy.

Defensive Publications Series

The present disclosure relates to an process for the preparation of synthetic intermediates in the manufacture of Resmetirom (MGL-3196), a selective thyroid hormone receptor-β (THR-β) agonist approved for the treatment of non-cirrhotic non-alcoholic steatohepatitis (NASH) with moderate-to-advanced liver fibrosis.

Barriers In Diagnosing Gender Dysphoria In Youth: A Scoping Review, Kayla Perfetto

Scoping Protocols

Objective: Specifically, through this review, I aim to explore the barriers influencing clinicians when diagnosing gender dysphoria in youth populations. The objective of this scoping review is to understand the extent and type of evidence in relation to this topic.

Introduction: The existing literature highlights significant uncertainty among mental health professionals in diagnosing and providing care for transgender and gender-diverse youth, posing substantial challenges for tailored support. This scoping review aims to condense the extant literature on the variables impacting clinicians’ diagnosis of gender dysphoria in children and adolescents, addressing critical gaps and providing a comprehensive resource for stakeholders.

Inclusion …

Dnp Final Report: Impact Of Education For Public School Caregivers On Reducing Complications In Type 1 Diabetes, Jena Decanter

DNP Final Reports

Abstract Background: Children with Type 1 diabetes (T1D) rely on school personnel to recognize symptoms and respond to diabetes-related emergencies during the school day. However, many rural school districts lack standardized training for staff responsible for supporting students with chronic health conditions. Purpose: This quality improvement project evaluated the feasibility and educational impact of a brief, self-paced, evidence-based diabetes education program designed to improve school personnel knowledge and response confidence related to T1D management. Methods: A quality improvement design was used in which school personnel with direct student contact completed an asynchronous educational module. Outcome measures included the Michigan Diabetes …

A Brief Summary Of Albert Camus’S “The Myth Of Sisyphus”, Irma Mosqueda Perez

Philosophy - All Scholarship

In the first pages of The Myth of Sisyphus, Albert Camus chooses to discuss beliefs and values, before diving deep into his theory on absurdism. His purpose is to set the groundwork for his future ideas on the meaning or rather, the lack of meaning of life. So he begins, piece by piece assembling the big puzzle that ends in his theory of philosophical absurdism and continues with an evaluation of the central question of this book: is suicide a justified approach when facing life? In this essay I plan on doing an exposition of the main points of Camus’s …

Faithful Ole Miss Alumnus Pays It Forward, Bill Dabney

University of Mississippi News

OXFORD, Miss. – For Rob Whorton, supporting the University of Mississippi is not just about giving back; it is about paying forward opportunities that shaped his lifetime and honoring his father, who taught him the value of education.

Enhancing Construction Simulation Optimization Performance Through Variance Reduction Techniques, Mohammed Mawlana, Amin Hammad

College of Architecture and the Built Environment Faculty Papers

Simulation optimization has been used to analyze construction operations and support planning decisions under uncertainty. It enables the identification of effective planning strategies throughout a project’s lifecycle. However, the use of stochastic simulation to evaluate alternative strategies results in higher computational demands and the generation of inferior solutions within the resulting optimal solutions. This study examines the feasibility of overcoming these issues by implementing variance reduction techniques into a discrete-event simulation optimization framework. Three variance reduction techniques are evaluated in a case study: Common Random Numbers, Antithetic Variates, and a combined application of both. While these techniques are well established …

Role Of Guidelines, Legislation, Litigation And Mechanisms For Sudep Communication In The Uk And In The Usa: A State-Of-The-Art Review, Rohit Shankar

Peninsula Medical School

IntroductionSudden unexpected death in epilepsy (SUDEP) remains a leading cause of premature mortality in people with epilepsy despite decades of research and guideline development.MethodsThis state-of-the-art narrative review synthesises multidisciplinary evidence from clinical guidelines, epidemiology, legal frameworks, policy initiatives, and advocacy sources in the United Kingdom (UK) and United States of America (USA). The review is structured to examine current practice (“where are we now”), evolution of influencing mechanisms (“how did we get here”), and future directions for improving SUDEP prevention (“where should we go next”).ResultsWhere are we now SUDEP risk communication remains inconsistent despite clear guideline recommendations. Implementation is hindered …

Latency-Slo-Aware Memory Offloading For Large Language Model Inference, Chenxiang Ma, Hanyu Zhao, Zhisheng Ye, Zehua Yang, Tianhao Fu, Jiaxun Han, Jie Zhang, Yingwei Luo, Xiaolin Wang, Zhenlin Wang, Yong Li, Diyu Zhou

Michigan Tech Publications

Offloading large language models (LLMs) states to host memory during inference promises to reduce operational costs by supporting larger models, longer prompts, and larger batch sizes. However, the design of existing memory offloading mechanisms does not take latency service-level objectives (SLOs) into consideration. As a result, they either lead to frequent SLO violations or underutilize host memory, thereby incurring economic loss and thus defeating the purpose of memory offloading. This paper presents NovaServe, a latency-SLO-aware memory offloading system for LLM serving. A key challenge in designing NovaServe is to reconcile the tension between meeting SLOs and maximizing host memory usage. …

3d Semi-Analytical Thermo-Elasto-Plastic Model For Additive Manufacturing, Tao Liu, Ming C. Leu, Edward C. Kinzel, Chinedum Okwudire

Mechanical and Aerospace Engineering Faculty Research & Creative Works

In additive manufacturing (AM), stress field drives distortion and warping and promotes delamination and cracking. Fast, accurate stress prediction is therefore essential for AM process planning and control, including real-time adaptive control, AM digital twins, data-driven and physics-driven workflows. However, spot-wise thermo-elasto-plastic finite element method (FEM) are often too slow for design iteration or real time use. Existing semi-analytical thermo-elasto-plastic approaches achieve high speed but are largely limited to 2D. In this paper, a full 3D semi-analytical thermo-elasto-plastic model for AM is built. The method uses a spot-wise analytical thermal field as the load and computes displacements and stresses via …

Dynlp: Parallel Dynamic Batch Update For Label Propagation In Graph-Based Semi-Supervised Learning, S. M. Shovan, Arindam Khanda, S. M. Ferdous, Sajal K. Das, Mahantesh Halappanavar

Computer Science Faculty Research & Creative Works

Semi-supervised learning aims to infer class labels using only a small fraction of labeled data. In graph-based semi-supervised learning, this is typically achieved through label propagation to predict labels of unlabeled nodes. However, in real-world applications, new data often arrives in batches, and stale data often becomes irrelevant. Each time a new batch appears, reapplying the traditional label propagation algorithm to recompute all labels is redundant, computationally intensive, and inefficient. To address the absence of an efficient label propagation update method, we propose DynLP, a novel GPU-centric Dynamic Batched Parallel Label Propagation algorithm that performs only the necessary updates, propagating …

Rethinking Nuclear Liability In The Age Of Small Modular Reactors, Isabella Klesmith

NULR Online

No abstract provided.

Developmental Stability Of Task-Rest Neural Efficiency In Youth Using A Threat And Cognitive Control Task, Parmis Khosravi, Julia O. Linke, Anjali D. Poe, Chase Antonacci, Reut Naim, Elise M. Cardinale, Katharina Kircanski, Anderson M. Winkler, Nathan A. Fox, Daniel Samuel Pine, Simona P. Haller

School of Medicine Publications

Behaviors arise from coordinated neural activity across diverse spatial and temporal scales. Prior work has linked better task performance and cognitive functioning to patterns of global network connectivity requiring minimal reconfiguration when switching between task demands. This metric indexing similarity in functional connectivity across task and rest has been termed “neural efficiency.” Here we assess stability of neural efficiency over approximately 3 years in adolescence, specificity across two task-rest combinations and associations with anxiety. At approximately age 16 and/or 19, 95 participants completed a resting state scan alongside a cognitive control and/or threat task. Neural efficiency was quantified as partial …

Community Ai Resilience: A Five-Pillar Framework For Preparing Communities For An Ai-Transformed World, Robin D. Anderson, Nicholas A. Curtis

Faculty Scholarship

Current artificial intelligence readiness strategies focus almost exclusively on two priorities: expanding access to AI tools and developing a technical workforce. While necessary, these efforts are insufficient. AI seems likely to transform how people work and, with that, to reshape how individuals derive meaning, how families function, and how communities organize. This paper presents the Community AI Resilience Framework, a five-pillar model addressing the human systems dimensions of AI transformation: (1) Economic Resilience and Regulatory Adaptation; (2) Social Cohesion and Belonging Infrastructure; (3) Psychological Resilience and Identity Reconstruction; (4) Civic and Educational Renewal; and (5) Ecological and Leisure Commons Management. …

The Double Attraction Paradox, Rem Jaen D. Krafft

Publications and Research

The Double Attraction Paradox is a podcast series that teaches adolescents how to navigate attraction through body language, limerence, and mirroring while understanding the psychology behind emotional connection. It is a manuscript that combines personal experience, observations, and research, inspired by Rem Jaen D. Krafft's high school crush. Not only does it provide a guide for teenagers and young adults, but it also encourages readers to better understand attraction, communication, and emotional development. The final chapter examines how peer pressure, traditional high school cliques, fear of rejection, and fear of intimacy may influence societal norms, emotional contagion, and relationship formation …

Recent Advancements In The Characterization Of Archaeological Wood, Amir Ghavidel, Reza Hosseinpourpia, Jianhui Zhou

Michigan Tech Publications

Archeological wood is a vital organic archive, yet its degraded state challenges traditional methods for species identification, provenance resolution, and decay assessment. This review synthesizes state-of-the-art advances—integrating artificial intelligence, isotopic systems, and molecular biology—and proposes a four-tier hierarchical diagnostic framework that moves the field from qualitative description to quantitative, high-resolution analysis. Landmark case studies demonstrate how multi-scalar data fusion provides mechanistic understanding of structural decay inaccessible through conventional approaches.

The Business Next Door: How The Essenburgs Became The Chick-Fil-A Of The Car Wash Industry, Steve Vanderveen

University Faculty Publications and Creative Works

It is difficult to imagine a more entrepreneurial family than the Essenburgs.

Synergistic Effects Of Arbuscular Mycorrhizal Fungi And Foliar Nitrogen–Phosphorus Application On Maize Productivity Under Irrigated And Rainfed Conditions, Mst. Lailatul Ferdows, Saima Biswas, Mizanur Rahman, F. M.Jamil Uddin, Md. Nayan, Aporna Tabassum Api, Mohaiminul Islam, Nadia Islam, Swapan Kumar Paul, Md. Harun Rashid

School of Earth, Environmental, & Marine Sciences Faculty Publications

A field experiment was conducted at the Agronomy Field Laboratory of Bangladesh Agricultural University to evaluate the effects of arbuscular mycorrhizal fungi (AMF) inoculation and foliar supplementation of nitrogen (N) and phosphorus (P) on the performance of maize (Zea mays L.) under irrigated and rainfed conditions. The experiment followed a randomised complete block design with two levels of AMF (inoculated and non-inoculated) and four foliar treatments (no N and P, N only, P only, and combined N + P). The recommended dose of fertiliser (RDF) was applied as a soil application to all treatments. AMF inoculation significantly increased grain yield …

Beyond Step Counts: Dual Perspectives On Designing Interactive Technologies To Support Outdoor Movement In Older Adults, Fatima Badmos, Emma Murphy, Peterson Jean, Damon Berry

Research Outputs: 2025-Present

Outdoor movement supports older adults' health and wellbeing, yet participation is constrained by environmental, physical, and social barriers. Existing technologies often prioritise clinical risk management and quantified functional metrics, and rarely integrate older adults' lived experience alongside physical activity experts' perspectives in early design. We conducted four focus group workshops with 24 urban dwelling older adults (63 to 91 years) and semi structured online interviews with 11 physical activity experts. Data were analysed using thematic analysis and grounded theory coding, then triangulated to identify convergent themes, divergent perspectives, and complementary views. Key tensions concerned risk management versus independence, clinical benchmarks …

Purification And Concentration Of Model Viruses Using Single-Pass Tangential Flow Filtration, Luis Alberto Mejía-Manzano, Lynn M. Manchester, Grace Wallis, Kan Wang, Bruce Lee, Michael Betenbaugh, Caryn Heldt

Michigan Tech Publications

The vaccine and viral vector industry is growing at an accelerated rate. To improve harvest and purification processes, the development of continuous membrane-based operations, such as normal flow filtration (NFF) and single pass tangential flow filtration (SPTFF) for concentration were explored. This work was conducted using two model viruses, non-enveloped porcine parvovirus (PPV) and enveloped Suid herpesvirus (SuHV). The viruses are in the same family as the gene therapy vectors adeno associated virus and herpes simplex virus, respectively. SPTFF design started with batch TFF for membrane selection. Hollow fiber membranes with a 100 and 300 kDa molecular weight cut off …

A Dual-Crosslinked Metallo-Elastomer Platform For Architecture-Directed Vascular Remodeling, Narangerel Gantumur, Shuhao Jiao, Xiaochu Ding, Simon Van Herck, Isabella Frangiosa, Emily Kopchick, Caitlin Maureen Purdy, Ty Walker, Aarati Kharal, Ying Grace Chen

Michigan Tech Publications

The engineering of durable small-diameter vascular grafts remains constrained by the challenge of simultaneously achieving mechanical robustness, controlled degradation, and instructive scaffold architecture. Here, we report a programmable dual-crosslinked metallo-elastomer platform, poly(1,3-propylene itaconate-co-2,2′-bipyridine-5,5′-dicarboxylate-co-succinate-co-sebacate) (M-PBIS), that integrates dynamic metal–ligand coordination with covalent crosslinking to enable orthogonal control over network mechanics, time-dependent viscoelastic behavior, and processability. PBIS polymers were synthesized by modular step-growth polyesterification, allowing independent tuning of backbone composition, bipyridine ligand density for metal coordination, and alkene (C = C) content for covalent crosslinking. This multidimensional design space allowed systematic tuning of tensile elastic modulus (0.06–3.2 MPa), extensibility (53%–491%), toughness (66–1339 …

International Fantasy Literature Conference Headed To Weatherford - Weatherford Daily News, Phillip Fitzsimmons, David Topolewski, Liliana Walker

Faculty Articles & Research

This article was written by David Topolewski of Weatherford Daily News about the upcoming conference, MythCon 54, that is coming to Weatherford on July 24 - 27. Pictured is SWOSU Archivist Phillip Fitzsimmons discussing the conference with WDN Staff Writer Liliana Walker.

Perez V. Meisner

All Decisions

In this HP proceeding, a default order and money judgment had been entered against Respondent-owners before they appeared by counsel. The court vacated the default judgment, finding Respondent-owners presented a reasonable excuse for their non-appearance and a meritorious defense. The court reaffirmed the April 2025 order to correct and allowed Respondent-owners to file a late answer.

The Coupled Hydrology–Human Activity Information (Chhai) Dataset: A Global Benchmark Dataset For Model Comparison And Evaluation, Azara Boschee, Aneseh Alborzi, Augustina Clara Alexander, Berit Arheimer, Salsebil Bel Hadj Ali, Günter Blöschl, Andrea Castelletti, Xi Chen, Aniya Dogra, Erhu Du, Jesse Duku, Aldo Fiori, Margaret Garcia, Salvatore Grimaldi, Naota Hanasaki, Yeonjoo Kim, Heidi Kreibich, Chenyuan Li, Ali Mehran, For Full Author List, See Comments Below

Faculty Research, Scholarly, and Creative Activity

To enhance hydrologic modeling, the hydrology community has developed benchmark datasets (e.g. Model Parameter Estimation Experiment, MOPEX), providing standardized data for model evaluation and parameter estimation. However, these datasets primarily focus on modeling natural hydrologic processes, leaving a critical gap in understanding the role of human influences. Here, we introduce the Coupled Hydrology-Human Activity Information (CHHAI) dataset, a benchmark dataset that integrates coupled human–water data from regions across all continents, excluding Antarctica. CHHAI incorporates data from 25 regions that cover various human impacts such as reservoir management, flood protection, river management policies, land use changes, and water use. Each basin …

Reducing Communicable-Disease Risk After Earthquakes: Vaccination And Prevention Lessons For Venezuela's Doublet, Alfonso J Rodriguez-Morales, Ivan Arturo Rodríguez-Sabogal, Adriana Sucari, Wendy Moncada, Lili Vanessa Hernández-Serrano, Florencia Escarrá, Pasesa Pascuala Quispe-Torrez, Francisco Javier Membrillo, Tomás Orduna, Susana Lloveras, Tânia S S Chaves, Miguel M Cabada, Cecilia Perret, René Echavarría, Ana F Ribeiro, Melinda Tanabe, Fernando Bazzino, Maximiliano Ramirez, Baruch Diaz, Karen Mirna Loro Morejón, Karen Daly, Reinaldo Rosas, Maria Belen Lopez, Cristina Miranda, Marisa Liliana Fernandez, Yasemin Özsürekçi, Wasin Matsee, Yenddy Carrero, Cristian Biscayart, Sergio Cimerman, Maria L Avila-Aguero, Roberto Debbag, Jose Brea, Alejandro Risquez, Jaime David Acosta-España, Rolando Ulloa-Gutierrez, Carlos Espinal, Carlos N Torres-Martinez, Marta González-Sanz, Aula Abbara, Jill Weatherhead, Bernal Cordero, Virgilio Lezcano, Amanda Guerrero, Herberth Maldonado, Luis Cuellar, Ines Ceron, Yori Roque, Melisa Florentin, Rosa Infante, Ana Carvajal, Lily M Soto-Ávila, Marbelys Hernández, Hector Villaroel, Gianmary Miozzi, Rafael Navas, Moraima Hernández, Carlos Pérez-Vega, Manuela Mérida, David A Forero-Peña, Juan-Carlos Navarro, Claudia Beltrán-Arroyave, Mario Masana

Faculty, Staff and Students Publications

No abstract provided.

High-Order Brain Interactions During Ketamine-Induced State Changes: A Functional Marker Of Response In Late-Life Treatment-Resistant Depression?, Krisha Shah, Rubén Herzog, Alan C Swann, Brittany O'Brien, Rahul Balakrishnan, Sanjay J Mathew, Nicholas Murphy

Faculty, Staff and Students Publications

Ketamine is a fast-acting intervention for treatment-resistant depression (TRD), yet only a subset of patients show robust clinical response, and the underlying neural mechanisms remain unclear. High-order interactions (HOI) derived from multivariate information theory provide a framework for examining nonlinear dependencies among brain regions beyond pairwise connectivity. One such metric, the O-information, captures the balance between synergistic and redundant interactions across three or more variables. In this secondary analysis of a randomized, double-blind, midazolam-controlled trial (NCT02556606), we examined EEG-derived HOI in 30 late-life veterans with TRD following a single 40-minute intravenous infusion of ketamine (0.1, 0.25, 0.5 mg/kg; n = …