Digital Commons Network^™

Datamut: Deterministic Algorithms For Time-Delay Attack Detection In Multi-Hop Uav Networks, Keiwan Soltani, Federico Corò, Punyasha Chatterjee, Sajal K. Das

Computer Science Faculty Research & Creative Works

Unmanned Aerial Vehicles (UAVs), also known as drones, have gained popularity in various fields such as agriculture, emergency response, and search and rescue operations. UAV networks are susceptible to potential security threats, such as wormhole attacks, jamming, spoofing, and false data injection. Time-Delay Attack (TDA) is a unique attack in which malicious UAVs intentionally delay packet forwarding, posing significant threats, especially in time-sensitive applications. It is challenging to distinguish malicious delay from benign network delay due to the dynamic nature of UAV networks, intermittent wireless connectivity, or the Store-Carry-Forward (SCF) mechanism during multi-hop communication. Some existing works propose machine learning-based …

Enhanced Superconductivity And Vortex Dynamics In Quasi-1d Tas2 Nanowires, Mathew Pollard, Visakha Ho, Clarissa Wisner, Eric W. Bohannan, Yew San Hor

Chemistry Faculty Research & Creative Works

We report the synthesis of high-quality 2H-TaS₂ nanowires via a controlled two-step conversion process from TaS₃ precursors, achieving robust superconductivity with a transition temperature T c ≈ 3.6K, which is significantly higher than bulk 2H-TaS₂ (T c ≈ 0.8K). Structural and compositional analyses confirm phase purity and preserved one-dimensional morphology, while magneto transport measurements reveal an enhanced upper critical field μ 0 H c2 (2K)≈5 T, far exceeding the bulk value (_μ0H_c2 (0)≈1.17T), attributed to dimensional confinement and suppression of charge-density wave order. Magnetic characterization demonstrates complex vortex dynamics, including flux jumps and a …

Faculty Senate Agenda January 5, 2026, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• 3:00 Call To Order
• Approval of Minutes December 1, 2025
• Approval of Amended Minutes November 3, 2025
• 3:05 University Business
• 3:20 Faculty Senate Business
• 3:35 Reports
• Council on Teacher Education
• Scholarship Annual Report
• University Studies Report
• 3:50 Old Business
• 3:55 New Business
• Commencement
• 4:00 Information
• EPC Report - December 4, 2025
• Adjourn: 4:30 pm

Faculty Senate Minutes January 5, 2026, Utah State University

Faculty Senate & Faculty Senate Executive Committee

• Call to Order
• University Business
• Faculty Senate Business
• Report
• Council on Teacher Education
• Scholarship Annual Report
• University Studies Report
• Old Business
• New Business
• Information
• Adjourn - 4:06 pm

Customer Lifetime Value Prediction In E-Commerce, Shaimaa Alantali

Theses

The e-commerce market across the world currently deals with an urgent problem which has emerged because businesses now use automated pricing systems everywhere. Online merchants who automate their decision processes to handle changing customer needs and limited stock situations must face external business forces which push their teams to start destructive pricing battles that harm all businesses in the sector. The research investigates how a unified computational framework which combines demand modeling with advanced data analytics methods can enhance pricing strategies through market instability detection and prevention systems. The study creates a market simulator through data-driven methods which uses retail …

Task-Optimized Brain Parcellations Reveal Latent Functional Organization For Enhanced Connectivity-Based Neuroimaging Classification, Andrew Hannum, Mario A. Lopez

Computer Science: Faculty Scholarship

Brain parcellation schemes are fundamental to neuroimaging, yet general-purpose atlases may obscure the specific functional architecture relevant to a given cognitive task or clinical condition. This reflects a growing consensus that the “optimal” brain map is context-dependent. Here, we introduce a novel framework that validates this principle by generating task-optimized human brain parcellation maps directly from supervised learning objectives. Our method defines functional parcels by grouping brain regions based on the similarity of their contributions to a classifier's decision boundary for a specific goal (e.g., cognitive state decoding or clinical group separation). This approach prioritizes a region's discriminative role over …

Wei Xiqin’S Evolutionary Plan For Modern China, Nianhong Qiu

Lingnan Theses (MPhil & PhD)

This study examines the thinking, practices, and significance of Wei Xiqin (1882- 1952). Born in Germany and educated in various European countries, Wei was a musician and educator who played an active role in the educational reform of the Republic of China. Wei was equipped with modern European thoughts but held deep reverence for Confucianism and other traditional Chinese classics. Examining this contentious figure in the wake of “Chinese Evolutionism” trend, this study investigates the differences between Wei’s evolution theory and the dominant evolution theory during early 20th-century China. Wei’s evolutionism, which I call a type of “Cyclic Evolution,” implies …

Ga2o3 Tcad Mobility Parameter Calibration Using Simulation Augmented Machine Learning With Physics-Informed Neural Network, Edric Khai Jieh Ong, Le Minh Long Nguyen, Matthew Eng, Yuhao Zhang, Hiu Yung Wong

Faculty Research, Scholarly, and Creative Activity

In this article, we demonstrate the feasibility of performing automatic technology computer-aideddesign (TCAD) parameter calibration and extraction using machine learning (ML), with the machine trained solely by TCAD-simulation data. The methodology is validated using experimental data. Schottky barrier diodes (SBDs) with different effective anode workfunctions (WF) are fabricated with emerging ultrawide bandgap material, Gallium Oxide (Ga2O3), and are measured at various temperatures (T). Their current-voltage (I–V) curves are used for automatic Ga2O3 Philips unified mobility (PhuMob) model parameters calibration. Five critical PhuMob parameters (µmax, µmin, Nref, α, and θ) were calibrated. The machine consists of an autoencoder (AE) and a …

Allocating Data Protection Duties The Chinese Way

Washington International Law Journal

Abstract: China has been enacting data protection laws with distinctive features at an unprecedented pace, which makes it necessary to update existing studies on the Chinese approach to data protection. Unlike its predecessors, this Article focuses on developing a structured approach to dissecting the Chinese regime, especially the Personal Information Protection Law and latest case law. It analyzes how the laws allocate responsibilities among the three major parties involved in data protection—individual data subjects, data controllers, and regulators—and draws comparisons with European Union (EU) laws that inspired the Chinese laws. It argues that the way Chinese laws allocate data …

The Taiwanese Way To Ai Governance: Draft Basic Law On Artificial Intelligence And Future Regulatory Strategies

Washington International Law Journal

Abstract: Despite Taiwan’s significant contributions to the global artificial intelligence (AI) ecosystem, its role remains underexamined in international AI governance discourse. This Article addresses this gap by analyzing Taiwan’s emerging AI regulatory framework, with particular emphasis on the Draft Basic Law on Artificial Intelligence (the “Draft AI Law”). Situating Taiwan’s approach within the broader global regulatory landscape, the Article compares the Draft AI Law with key international models, including the European Union’s AI Act and the United States’ NIST AI Risk Management Framework, while also drawing on regulatory developments in Japan and South Korea. Rather than providing a clause-by-clause analysis, …

Pciafl: Personalized And Class Imbalance-Aware Federated Learning For Driver Behavior Classification, Osho Osho, Shubh Garg, Suchetana Chakraborty, Sajal K. Das

Computer Science Faculty Research & Creative Works

Automated understanding of driver behavior from vehicular kinematics is vital for safety-aware intelligent transportation systems. However, centralized cloud processing suffers from latency, scalability, and privacy issues. Federated Learning (FL) provides a decentralized alternative but faces two major challenges: (i) non-IID client data due to heterogeneous driving styles and sensors, and (ii) severe class imbalance, as risky behaviors are inherently rare. In this work, we propose a personalized FL framework that uses a shared CNN-LSTM backbone with client-adaptive classifiers and incorporates a cost-sensitive loss to address behavior skew. Evaluated on the UAH-DriveSet dataset, our method achieves 92.60% accuracy and 91.68% macro-F1, …

The Long Goodbye Of The History Of Economic Thought Course In Liberal Arts Colleges In The United States, Humberto Barreto

School of Business and Leadership Working Papers

Economists of a certain age will remember a world in which the history of economic thought (HET) was alive and flourishing. Today, that is not the case. One little-noticed consequence of the elimination of HET from graduate programs in the United States is that the HET course is an endangered species at the undergraduate level. It is not, however, extinct. This paper offers a brief history of HET as a course and explores the extent of the diminution in HET courses in the undergraduate liberal arts college curriculum in the United States. Roughly 40% of 146 schools have a HET …

On The Future Of The Blue Economy: Comparing Indonesia’S Role In The Asean And Lac Regions, Darynaufal Mulyaman, Bambang Dwi Waluyo, Dewi Aulia Maharani

Global: Jurnal Politik Internasional

This study aims to determine the concrete development and implementation of blue economy programs in the future by examining Indonesia's role in the context of international political economy, particularly through maritime diplomacy and cross-regional cooperation such as ASEAN, the Indonesia-Latin America and Caribbean Business Forum INA-LAC, and the Alliance of Island States AIS. Using a constructivist approach, this study concludes that Indonesia, as a middle-power country, utilises soft resources, such as maritime identity, sustainability values, and diplomatic leadership, to strengthen its position in global blue economy governance. The results of the study show that Indonesia has strategic potential for developing …

The Regionalisation Of Blockchain Technology As Asean Cybersecurity Strategy Against Terrorist Financing Through Cryptocurrency, Sabda Ningsih, Syuryansyah Syuryansyah

Global: Jurnal Politik Internasional

Through this study, the authors question how the prospects for ASEAN regionalisation relate to the development of blockchain technology as a cybersecurity medium. Based on previous research, ASEAN is facing a problem of terrorism, which is difficult to handle over time. The finding further exacerbates the fact that transnational terrorist groups have begun to use virtual currency as one of their strategies for funding organisations. Meanwhile, Southeast Asia, according to results of several surveys, includes areas with high numbers of cryptocurrency users, making it a target for blockchain technology companies to establish main offices. Within the framework of ASEAN regionalism, …

Reviewing Crowdsourcing And Community Engagement In Museums, Paul Longley Arthur, Lydia Hearn, Isabel Smith

Research outputs 2022 to 2026

Over the past two decades, museums have increasingly experimented with digital technologies to connect with broader contemporary culture. This review article investigates the role crowdsourcing can play in transforming museums into more engaged environments, raising visibility and inclusivity, and involving diverse voices and populations in knowledge-creation processes. Its contribution is to provide an overview of the history, definitions and concepts of crowdsourcing, and examples of crowdsourcing policies and practices that have been adopted by museums. Participation in crowdsourcing has been influenced by gender, education, and socio-economic and cultural background. In the past, historical structures and traditions and infrastructural complexities have …

Xenobot-Inspired Diatom Analogues For Synthetic Kinematic Renewal Of Regenerative Nanobot Payloads, Suma Mallapragada, Vaishnavi Sankepally, Anishkumar Manoharan, Muhamed Fazl, Cherukuri Dhawal, Shreya Abhijit Patki, Kethavarapu Uma Eswar Datta Sai

Defensive Publications Series

A system and method are presented for a time-bounded, non-genetic regeneration framework in which synthetic, diatom-shaped functional organelles are continuously produced, deployed, and exhausted within a confined system. The approach relies on geometry-driven kinematic assembly, droplet and gel physics, and swarm-level population homeostasis rather than cellular replication or organism growth. A critical design invariant enforces the release of exactly two functional organelles per release event, ensuring bounded output, predictable dynamics, and safety. The disclosure provides laboratory-recognizable implementation pathways suitable for materials science, soft-matter physics, and bioengineering groups and is released for public use to establish prior art.

System And Method For Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery And Innovation, Chiranthan N

Defensive Publications Series

The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems …

System And Method For Autonomous Cross-Domain Collaborative Artificial Intelligence–Driven Discovery And Innovation, Chiranthan N

Defensive Publications Series

The presented proposal discloses a system and method for autonomous, collaborative artificial intelligence–driven discovery and innovation. The techniques presented herein enables structured interaction among multiple specialized AI software agents, each possessing domain-specific expertise, to perform real-time cross-domain reasoning without continuous human intervention. An interaction controller governs communication, reasoning exchange, and collaboration rules among the agents, while an evaluation module assesses novelty, feasibility, and domain validity of generated outputs. Through iterative feedback and refinement, the proposed system synthesizes knowledge across disciplines to generate robust, non-obvious solutions and inventive outcomes. The proposed architecture overcomes limitations of conventional single-domain and task-parallel AI systems …

Technical-Industrial Feasibility Report — Hci-V1 System (Ionospheric Coherence Harmonizer), Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of GPT-5.2 Thinking and Gemini 3 Reasoning, is released under the Apache License 2.0. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French IPC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5) (中华人民共和国专利法), and Japanese Patent Act Art. 29(1) (特許法). It discloses 170 enabling technical contributions (systems, methods, devices, materials, QA, cybersecurity, data products, operational protocols, and business-grade mechanisms) to improve GNSS/GPS and …

Systemic Transition Blueprint: From Entropic Fission To Syntropic Fusion (2026–2050), Xavier Pillet

Defensive Publications Series

This document, produced with the assistance of ChatGPT 5.2 Thinking and Gemini 3 Raisonnement, is released under the Apache 2.0 licence. It is a voluntary defensive publication (prior art) and therefore enters the prior art upon release under the applicable patent statutes : EPC Art. 54(2) (European Patent Convention), French PC Art. L 611-11 (French Intellectual Property Code), 35 U.S.C. §102(a) (United States Patent Act), Chinese Patent Law Art. 22(5)(中华人民共和国专利法), and Japanese Patent Act Art. 29(1)(特許法). It provides an enabling technical disclosure (hardware, software, protocols, QA/metrology, cybersecurity, supply chain) for a 2026–2050 blueprint comparing (A) a 100% renewables-plus-storage pathway and …

The Nexus Between Entrepreneurial Ingenuity Antecedents And Market Penetration Of Tanzanian Formal Retail Businessesmarket Penetration: Entrepreneurial Ingenuity: Formal Retail Business, Salum Makangila, Omari Khalifa Mbura

Business Management Review

The entrepreneurial ingenuity is a fundamental strategy employed by business proprietors and operators to navigate market penetration challenges when formal and informal retail businesses operate simultaneously in the same commercial environments. Guided by positivism research philosophy and cross-sectional design, quantitative data were collected from randomly selected sample size of 520 business proprietors and operators through structured questionnaire. The study hypothesized and tested the relationship between entrepreneurial ingenuity antecedents and market penetration of Tanzanian formal retail businesses using Structural Equation Modelling (SEM). The empirical results reveals that entrepreneurial ingenuity antecedents namely creative, innovative and open-minded behaviour positively and significantly influences market …

Finite Element Analysis Of Tire–Pavement Interaction Effects On Noise Reduction In Porous Asphalt Pavements, Miao Yu, Geyun Lv, Anqi Li, Jing Yang, Zhexi Zhang, Dongzhao Jin, Rong Zhang, Jiqing Li

Michigan Tech Publications

This study investigated the noise reduction performance of porous asphalt concrete (PAC) pavement under tire–pavement coupling conditions, addressing the limitations of field measurements and laboratory testing. First, tire excitation amplitude parameters were determined based on vibrational contact operational scenarios. Then, finite element simulations were conducted to systematically analyzing the tire–pavement coupling noise characteristics of PAC pavement. The results indicate that PAC pavement effectively reduces the air pumping noise due to its highly porous internal structure, leading to significant noise attenuation. Furthermore, the study examined the key factors influencing the tire–pavement coupling noise in PAC pavement. When maintaining constant vehicle parameters …

The Phyrfly Opus: A Unified Standard For Spectrally Isolated Coordination, Neural Hierarchies, And Distributed Proprioception, Steven Kirkland

Defensive Publications Series

This monograph establishes 259 prior art claims for a decentralized, connectionless timing and positioning architecture (TARDIS). It formalizes the PHYRFLY nomenclature to distinguish low-level, hardware-scheduled Physical-Layer synchronization primitives from higher-level application orchestration.

The core novelty centers on a Spectral Isolation Model, which maps transport-agnostic architecture to biological firefly wavelength differentiation; this enables swarm-level isolation through physics (e.g., 802.11 vs. 802.15.4) rather than protocol-layer logic, ensuring that independent swarms occupying the same physical space are "blind" to one another at the RF front-end.

Key technical advancements established as prior art include:

• The Neural Hierarchy (Neuron → Ganglion → Plexus → …

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Origin-Specific Coordinate Watermarking For Geolocation Data Leak Attribution, Alex Berke, Balazs Engedy, Enrico Bacis, Umar Syed

Defensive Publications Series

A method is described for tracing geolocation data leaks by watermarking coordinates provided by a geolocation application programming interface. The method can involve generating a watermark, for example, by applying a cryptographic hash function to inputs such as the requesting origin's domain and the most significant digits of a user's latitude and longitude. This hash may then be embedded into the less significant decimal places of the coordinates, which can result in a small alteration to the location data before it is provided to the origin. A benefit of this technique is to facilitate the attribution of leaked data. By …

The Mission And Ministry Of The East Asian Pastoral Institute For The Local Churches In Asia And Oceania, Paul B. Steffen, Svd

Asia Pacific Mission Studies

The EAPI is a typical international, interregional pastoral institute. It trains primarily multipliers in the ecclesial-pastoral ministry for the Asia-Pacific region. In 1986/87, 20 years after the first course, the institute had 14 resident members in the teaching staff. The novelty of the Pastoral Institute has been able to consolidate itself in this region and meet the existing needs. The EAPI is today a centre for the ecclesial-pastoral renewal of the Asian-Pacific local churches and it also contributes to the exchange of pastoral experiences with other local churches.

Causal Echo Binding For Explainable Ai, Dennis Lanov

Defensive Publications Series

Causal Echo Binding, as proposed herein, is a next-generation explainable AI technique that traces "echoes" of causal influence backward through a model’s decision process, binding them to evolving, human-understandable concepts and validating each link with built-in counterfactual tests. Unlike static feature attribution methods, the technique produces a verifiable, time-aware narrative of why and when an AI system acted, enabling deeper trust and auditability. For a network equipment provider, this capability can enhance AI-driven networking, security, and observability products by providing transparent, regulator-ready explanations for automated decisions - from pinpointing the root cause of a network change to justifying …

Adaptive On-Device Quantization Controller For Dynamic Workloads, Sergiu Calmîc

Defensive Publications Series

An adaptive framework for edge devices is proposed herein that dynamically adjusts neural network precision (quantization) in real-time using live device telemetry. The framework ensures consistent accuracy, optimizes energy and thermal use, and seamlessly updates quantization, per layer, during inference with no downtime.

Clinical And Radiological Outcomes Of Directed Treatment Transitions From Gilenya® To Generic Fingolimod, Mahi A. Patel, Tom G. Punnen, Kevin S. Shan, Morgan C. Mccreary, Crystal M. Wright, Shanan B. Munoz, Paula Hardeman, Katy W. Burgess, Benjamin M. Greenberg, Lindsay A. Horton, Peter V. Sguigna, Lauren M. Tardo, Olaf Stüve, Darin T. Okuda

Student Publications

Background: Gilenya® (fingolimod), a sphingosine-1-receptor agonist, is an effective treatment for multiple sclerosis (MS). However, increased relapse activity has been observed after transitioning to generic fingolimod despite prior prolonged disease stability.

Objective: To quantify the clinical and radiological impact of transitioning from Gilenya® to generic fingolimod in people with MS (PwMS).

Methods: Retrospective data were evaluated from a single tertiary MS care center. Time to magnetic resonance imaging (MRI) activity and clinical relapse was assessed during Gilenya® and generic fingolimod treatment. Differences in absolute lymphocyte count (ALC) and side effects were also measured by treatment group.

Results: The cohort included …

Celltra: Aligning Cell Names With Gene Expression Via A Pathway-Informed Transformer, Zhao Li, Zaiyi Zheng, Rongbin Li, Wenbo Chen, Yuntao Yang, Meer A Ali, Jundong Li, W Jim Zheng

Faculty, Staff and Student Publications

Motivation: Single-cell RNA sequencing (scRNA-Seq) technology enables detailed exploration of gene expression at the individual cell level, crucial for annotating cell types and understanding cellular diversity. Traditional methods for cell type annotation often rely on marker genes and manual labeling, posing challenges due to low data quality and incomplete reference datasets.

Results: We developed CeLLTra, a novel contrastive learning framework that leverages a Transformer-based model integrating biological pathway information to group genes into super tokens, effectively capturing comprehensive gene expression from scRNA-Seq data. By combining this pathway-informed Transformer with a pretrained domain-specific language model, CeLLTra accurately aligns cell-type annotations with …

Engaging Polarized Publics In Corporate Social Advocacy, Joon Soo Lim

Media Studies - All Scholarship

No abstract provided.