Digital Commons Network^™

Purely Electronic Insulator-Metal Transition In Rutile Vo2, Henry Navarro, Ivan K. Schuller, Yimei Zhu

Faculty Publications

No abstract provided.

A Recycling Route For E-Waste And Aluminium Scrap To Produce A2xxx And A3xx Al Alloys, Iman El-Mahallawi, Shaza Raji, Mayar M. Ali, Mai Mahmoud, Sara Atef, Mahmoud Tash, Serag Salem, Tarek Elmeligy

Mechanical Engineering

Electronic waste (e-waste) generation is significantly escalating, while traditional recycling methods, failing to meet sustainability criteria, are still used. The implementation of sustainability requirements calling for recycling will not be achieved unless intensive research is conducted for mitigating and tolerating the presence of accumulating tramp elements in the recycled alloys and even revising the existing standard specifications. This study explores an innovative approach to recycling electronic waste (e-waste) by integrating it with aluminum scrap through conventional melting techniques to produce high-performance industrial alloys aiming to develop novel aluminum alloys with enhanced properties suitable for various industrial applications. The experimental process …

Inferring Cinematic Aesthetic Biases From The Statistics Of Early Movies, Daniel M. Grzywacz, Norberto M. Grzywacz

Psychology: Faculty Publications and Other Works

Cinematic aesthetic values have not been studied as thoroughly as those in music and the visual arts. Three hypotheses for these values are that they are like those of artistic paintings, that they emphasize the spatial coherence of the optical flow, and that they are temporally smooth. Here, we test these hypotheses and investigate other candidate aesthetic values by comparing the statistics of narrative movies and those obtained spontaneously. We perform these tests by using narrative movies from the early stages of cinematic history because these films are simple. We statistically compare these films with spontaneous movies of scenes from …

A Historic Context For House Moving: Why Moved Houses Are Eligible For The National Register Of Historic Places, Ian Tomashik

Historic Preservation Final Projects

Structural moving, the process of moving complete buildings to new sites, has shaped American landscapes for over two centuries. Thousands of wood-frame houses were moved with surprising frequency between the mid-nineteenth and mid-twentieth centuries. Yet, moved buildings are “ordinarily” ineligible for listing on the National Register of Historic Places. This project explores this exclusion two parts: an analytical essay that argues for their inclusion for nomination and a historic context survey that explains the prevalence of house moving. The essay first explains the National Register’s rationale for questioning the historic significance of moved buildings. It also examines why large-scale house …

Water Current, Volume 57, No. 2, Summer 2025

Water Current Newsletter

No abstract provided.

The Tariff War And Implications For The Philippines, Jesus Felipe, Eva Marie D. Aragones, Mariel Monica Sauler

Angelo King Institute for Economic and Business Studies (AKI)

No abstract provided.

Ts-Diff: Two-Stage Diffusion Model For Low-Light Raw Image Enhancement, Yi Li, Zhiyuan Zhang, Jiangnan Xia, Jianghan Cheng, Qilong Wu, Junwei Li

Research Collection School Of Computing and Information Systems

This paper presents a novel Two-Stage Diffusion Model (TS-Diff) for enhancing extremely low-light RAW images. In the pre-training stage, TS-Diff synthesizes noisy images by constructing multiple virtual cameras based on a noise space. Camera Feature Integration (CFI) modules are then designed to enable the model to learn generalizable features across diverse virtual cameras. During the aligning stage, CFIs are averaged to create a target-specific CFIT, which is fine-tuned using a small amount of real RAW data to adapt to the noise characteristics of specific cameras. A structural reparameterization technique further simplifies CFIT for efficient deployment. To address color shifts during …

Foodlmm: A Versatile Food Assistant Using Large Multi-Modal Model, Yuehao Yin, Huiyan Qi, Bin Zhu, Jingjing Chen, Yu-Gang Jiang, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

Large Multi-modal Models (LMMs) have made impressive progress in many vision-language tasks. Nevertheless, the performance of general LMMs in specific domains is still far from satisfactory. This paper proposes FoodLMM, a versatile food assistant based on LMMs with various capabilities, including food recognition, ingredient recognition, recipe generation, nutrition estimation, food segmentation and multi-round conversation. To facilitate FoodLMM to deal with tasks beyond pure text output, we introduce a series of novel task-specific tokens and heads, enabling the model to predict food nutritional values and multiple segmentation masks. We adopt a two-stage training strategy. In the first stage, we utilize multiple …

Sanitizable Cross-Domain Access Control With Policy-Driven Dynamic Authorization, Jianfei Sun, Guowen Xu, Hongwei Li, Tianwei Zhang, Cong Wu, Xuehuan Yang, Robert H. Deng

Research Collection School Of Computing and Information Systems

The increasing demand for secure and efficient data sharing has underscored the importance of developing robust cryptographic schemes. However, many existing endeavors have overlooked the following critical issues: (1) unauthorized access resulting from malicious information leakage by senders; (2) absence of constraints on write and read permissions for participants; (3) and inflexibility of strategies to dynamically designate ciphertexts to multiple recipients. In this paper, we present SCPA, a cross-domain access control scheme imbued with sanitization features and propelled by policy-driven dynamic authorization, tailored for cloud-based data sharing. This scheme not only facilitates access controls, including regulations for no-read and no-write …

Understanding The Bad Development Practices Of Android Custom Permissions In The Wild, Xiaohan Zhang, Zhiyuan Yu, Xinghua Li, Cen Zhang, Cong Sun, Ning Zhang, Robert H. Deng

Research Collection School Of Computing and Information Systems

Android system provides application developers with the ability to define custom permissions, which serve to moderate the sharing of resources and interactions with other applications. However, poor development practices of developers can render the permission mechanism ineffective, weakening the system protection. This paper presents a comprehensive examination of the problematic practices surrounding custom permissions employed by developers, referred to as Bad Practices of Custom Permissions (BPCP issues). To accomplish this, we conducted an empirical study and identified nine common BPCP issue patterns that can lead to various adverse consequences, such as installation failures, crashes, or even component hijacking. To automatically …

Process-Grounded Knowledge-Infused Learning And Decision Making, Kaushik Roy

Theses and Dissertations

This dissertation introduces process-grounded knowledge-infused learning and reasoning, a novel framework for integrating domain-expertise-based process knowledge into the learning and reasoning mechanisms of artificial intelligence systems. This approach is designed to produce controlled, transparent, and reliable predictions in critical tasks such as medical diagnosis and recommendation. By focusing on the case study of mental illness diagnosis and recommendation—where decision-making must be grounded in processes such as disorder-specific diagnostic criteria—this work demonstrates methods to embed structured decision-making directly into the system architecture during both training and inference. This integration facilitates end-to-end training and reasoning while ensuring that outputs strictly adhere to …

The B2biers System: A Content-Based Perspective On Maximizing Influence And Subscription In Social Networks, Konstantinos Theocharidis, Hady Wirawan Lauw

Research Collection School Of Computing and Information Systems

The popular problem of Influence Maximization (IM) asks for the k users who can maximize the influence of a fixed post in a social network. In contrast, the problem of Content- Aware Influence Maximization (CAIM) asks for the k features to form a viral tunable post in a social network starting its diffusion from a fixed set of initial adopters. CAIM paves the way for a number of novel problems to be studied that altogether can lead to the development of a system that would be valuable for advertisers who manage social network pages. This holds since features (brands) in …

Prompttutor: Effects Of An Llm-Based Chatbot On Learning Outcomes And Motivation In Flipped Classrooms, Yuhao Zhang, Eng Lieh Ouh, Chong Jee Adam Ho, Siaw Ling Lo, Kar Way Tan, Feng Lin

Research Collection School Of Computing and Information Systems

This study explores the integration of a Large Language Model (LLM) based chatbot, PromptTutor, into flipped classrooms (FC) for undergraduate Computer Science (CS) education. PromptTutor is designed to provide personalized, immediate feedback to support student learning in FC by incorporating reflective learning and scaffolding strategies. The traditional FC typically lacks this immediate feedback during the pre-class learning phase, risking decreased student motivation according to existing literature. This study examines if students improve in learning outcomes and motivation after using PromptTutor. Through a controlled crossover experiment with 50 students, the study demonstrates statistically significant improvements in students' quiz performance and motivation …

Unified Neural Backdoor Removal With Only Few Clean Samples Through Unlearning And Relearning, Nay Myat Min, Long H. Pham, Jun Sun

Research Collection School Of Computing and Information Systems

Deep neural networks have achieved remarkable success across various applications; however, their vulnerability to backdoor attacks poses severe security risks—especially in situations where only a limited set of clean samples is available for defense. In this work, we address this critical challenge by proposing ULRL (UnLearn and ReLearn for backdoor removal), a novel two-phase approach for comprehensive backdoor removal. Our method first employs an unlearning phase, in which the network’s loss is intentionally maximized on a small clean dataset to expose neurons that are excessively sensitive to backdoor triggers. Subsequently, in the relearning phase, these suspicious neurons are recalibrated using …

Unveiling Knowledge Boundary Of Large Language Models For Trustworthy Information Access, Yang Deng, Moxin Li, Liang Pang, Wenxuan Zhang, Wai Lam

Research Collection School Of Computing and Information Systems

Large Language Models (LLMs) have emerged as powerful tools for generating content and facilitating information seeking across diverse domains. While their integration into conversational systems opens new avenues for interactive information-seeking experiences, their effectiveness is constrained by their knowledge boundaries—the limits of what they know and their ability to provide reliable, truthful, and contextually appropriate information. Understanding these boundaries is essential for maximizing the utility of LLMs for real-time information seeking while ensuring their reliability and trustworthiness. In this tutorial, we will explore the taxonomy of knowledge boundary in LLMs, addressing their handling of uncertainty, response calibration, and mitigation of …

Evaluation Of Waste Plastic Addition Via Dry Method On Asphalt Mixture Performance, Isabella Madeira Bueno

Department of Civil and Environmental Engineering: Dissertations, Theses, and Student Research

Incorporating waste plastic (WP) into hot mix asphalt (HMA) offers a promising approach to enhance recycling rates and improve asphalt concrete (AC) performance, particularly in moisture damage resistance. However, results vary widely due to differences in WP types, sizes, and mixing methods. The lack of standardized procedures, especially for the dry process, has led to inconsistent integration and unclear roles of WP in AC mixtures. Studies suggest that introducing WP to pre-heated aggregates at temperatures exceeding its melting point can enhance mixture resistance to rutting, cracking, and moisture damage. In this context, this study was conducted in two phases to …

Data-Driven Methods For Signal Analysis And Nonlinear System Identification, Cristian Felipe López Ruano

Department of Mechanical and Materials Engineering: Dissertations, Theses, and Student Research

In recent years, data-driven modeling has gained considerable attention in nonlinear system identification, offering a powerful alternative to traditional physics-based methods. This has been possible by advances in machine learning, sparse regression, and differential equations in a weak form, which allow the accurate capture of complex nonlinear dynamics, even when the measurements are in strong background noise. Moreover, integrating these models with physical knowledge further enhances their reliability and interpretability, making them suitable for a wide range of science and engineering applications.

In this dissertation, we investigate algorithms for data-driven nonlinear system identification to obtain ordinary differential equations that govern …

Biocomputing Approach To Modeling And Modulating Calcium Signaling, Sehee Sun

School of Computing: Dissertations, Theses, and Student Research

Biocomputing is an emerging field that seeks to perform computational tasks using biological substrates and processes. Unlike conventional computing systems based on silicon hardware, biocomputing leverages the parallelism, energy efficiency, and complex dynamics of living systems. Among various cellular mechanisms, calcium (Ca2+) signaling stands out as a central regulator of diverse biological functions, offering a promising basis for programmable logic and control in living cells.

This thesis introduces a novel framework for modeling and modulating Ca2+ dynamics using biologically inspired Boolean logic circuits. Specifically, we propose the Ca2+ Boolean Logic (CaBL) model, in which Ca2+ fluxes and interactions are abstracted …

Satellite Radar Imagery Analysis For Ground Hazard Risk Monitoring In Railway Tracks And Slopes, Sumanth Varma Byrraju

Theses and Dissertations

Railway transportation is essential to national economies globally, and disruptions from geohazards can result in significant operational delays and considerable economic consequences. Satellite radar technologies, including Interferometric Synthetic Aperture Radar (InSAR), offer an effective means to monitor geohazard risks across extensive railway networks. This thesis employs Multi-Temporal InSAR (MTInSAR) techniques, including Persistent Scatterer InSAR (PSInSAR) and Small Baseline Subset (SBAS), to identify high-risk areas along railway rights of way (ROW) prior to geohazard occurrences. However, the efficiency of these MT-InSAR and, consequently, the caliber of the data generated may be restricted by elements like topographical profile, vegetation, and surface soil …

Action Research To Explore The Use Of Augmented Reality To Support High School Students In Understanding And Creating Art Work In A Drawing Course, Alicia Joanne Cobler

Theses and Dissertations

High school students in Drawing 1 at a high school in South Carolina struggle to understand meaning or make personal connections to their own artwork. The purpose of this action research was to evaluate the implementation of immersive reality technology, specifically augmented reality (AR), in art for high school Drawing 1 students to help them understand meaning in art and create their own meaningful artwork. Creating personally meaningful symbolic works of art is one of the first Visual Art National Core Standards (National Core Visual Art Standards, 2014). Creating meaning in artwork allows students to understand society, provide an opportunity …

Adaptation Planning To Mitigate Flood Risk: Bellevue, Nebraska As A Case Study, Michael Nti Ababio

Community and Regional Planning Program: Theses

Flooding remains one of the most pressing natural hazards in the United States, with increasing frequency and intensity driven by climate change. This thesis explores the adaptation planning strategies employed to mitigate flood risks in Bellevue, Nebraska, a city significantly impacted by the 2019 floods in eastern Nebraska. Using a mixed-methods approach, the study combines quantitative analysis of flood vulnerability with a critical review of local planning policies using documents, zoning ordinances and institutional frameworks. Spatial analytical tools such as Global Moran’s I and Hot Spot Analysis (Getis-Ord Gi*) were used to detect clustering of inundated buildings during the 2019 …

Chanticleer | July 2025, Jacksonville State University

Chanticleer

No abstract provided.

Economic Drivers In East Texas- July 2025, Manuel Reyes-Loya, Cecilia Cuellar, Marilyn Young, Pedro Gallardo-Toledo

Hibbs Newsletter

This issue of the Hibbs Newsletter examines the key economic drivers of East Texas, highlighting trends in GDP, employment, and wages across major metropolitan areas. From 2015 to 2023, the region experienced steady economic growth, led primarily by healthcare, manufacturing, and mining industries. The report emphasizes healthcare as a dominant contributor to both employment and high-wage occupations, offering insight into the region’s evolving economic structure

Annual Report For The Town Of Hebron, New Hampshire For The Fiscal Year Ending June 30, 2025 And 2026 Town Meeting, Hebron Town Representatives

Hebron, NH Annual Reports

This is an annual report containing vital statistics for a town/city in the state of New Hampshire.

Summer Proceedings 2025, Sav Milburn, Brandon Hernandez-Calvario, Roberto Palacios, Paris Wu, Naomi Cai, Olivia Wang

altREU Projects

This comprehensive collection showcases cutting-edge research from undergraduate students participating in three innovative programs at Portland State University: the NSF-funded Research Experiences for Undergraduates (REU) site on "Computational Modeling Serving Portland," the alternative Research Experiences for Undergraduates (altREU) program, and Teuscher Lab internships. These programs leverage community partnerships while breaking traditional barriers through fully online, accessible formats that welcome students regardless of background or circumstances. The 24 projects span foundational AI methods, healthcare and medical AI, transportation and urban safety, environmental and earth sciences, language and social AI, and specialized neural architectures. From developing assistive driving companions and emotion-aware AI …

Impactor Displacement As A Predictor Of Thoraco-Abdominal Organ Injury: Comparison Of Isolated Organ To Whole Body Tests., Jack Seifert, Jared Michael Koser, Alok Shah, Lance Frazer, Frank A. Pintar, Narayan Yoganandan, Dan Nicolella, Brian D. Stemper

Biomedical Engineering Faculty Research and Publications

Purpose

Body armor is used to protect the wearer from penetrating injuries. However, when the armor defeats the projectile, it deforms at high rates into the wearer, referred to as back face deformation (BFD). This deformation can cause a variety of superficial and internal injuries and consequently should be considered when designing body armor. However, current design standards do not adequately consider the effects of BFD, and new data are necessary to inform future design thresholds for BFD. The objective of this study was to develop blunt impact injury risk curves for in vitro thoraco-abdominal organs and determine their applicability …

Elucidating The Impact Of Common Stormwater Pollutants On Antibiotic Resistance: The Role Of Heavy Metals, Nutrients, And Salts, Kassidy N. O'Malley, Patrick J. Mcnamara, Walter M. Mcdonald

Civil and Environmental Engineering Faculty Research and Publications

Antibiotic resistance poses a significant global health threat, and the urban water cycle presents an opportunity to augment or limit the spread of antibiotic resistance. In particular, stormwater runoff has recently been revealed as a key conduit for antibiotic-resistant bacteria (ARB). The specific role of stormwater pollutants, however, on antibiotic resistance has not been isolated. Understanding the impact of specific pollutants common to stormwater could help optimize design and operation of stormwater systems for management of antibiotic resistance. The objective of this research was to establish the potential contributions of common stormwater pollutants to antibiotic resistance proliferation. Lab-scale stormwater microcosms …

Novel Respirometry Measurement And Comparison Of Monod Kinetic Constants And Methanogen Concentrations For 27 Full-Scale Anaerobic Bioreactors, Nicholas Benn, Antonio Martins, Daniel H. Zitomer

Civil and Environmental Engineering Faculty Research and Publications

Monod kinetic coefficient values (km and Ks) as well as methanogen concentrations (Xac and Xh2) for various anaerobic bioreactors are required to gain a deeper understanding of anaerobic biotechnology. However, there are no existing, practical methods to measure or estimate these parameters or variables in typical anaerobic digester biomass that contains mixed cultures with inert organic solids. Current measurement methods rely on pure cultures developed in the laboratory. In this work, a novel respirometric method was developed and used to determine methanogen Monod parameters and active biomass concentration for samples from 27 full-scale anaerobic reactors. Differences (one to three orders …

U.S. Withdrawal From Afghanistan And Realignment Of Eurasian Rival Powers, Toghrul Seyidbayli

Journal of Strategic Security

This article explores the geopolitical ramifications of the U.S. withdrawal from Afghanistan, focusing on how it has catalyzed strategic realignments among China, Russia, and Iran in Eurasia. By examining the withdrawal’s impact on the regional power dynamics, the article analyzes how these revisionist states have exploited the resulting power vacuum to assert their influence and challenge the existing international order. China has used this moment to expand its Belt and Road Initiative, Russia has felt emboldened to escalate its military actions in Ukraine, and Iran, despite regional setbacks, remains determined in pursuing its revisionist strategy in Eurasia. The study employs …

Atomic Clock Utilizing Spin-Dependent Recombination, Denis Karaiskaj

USF Patents

A silicon-based atomic clock for use in an electronic device structured to employ spin-dependent recombination in the silicon crystal. In at last one implementation, a source of energy configured to excite the impurity atoms within the silicon crystal includes a source of thermal energy but not a source of light or a source of broadband light that is not matched to said energy level transition of the impurity atoms.