Digital Commons Network^™

Stprompt++: Prompting Vision-Language Models For Weakly Supervised Video Anomaly Detection And Fine-Grained Localization, Peng Wu, Chengyu Pan, Guansong Pang, Xiangteng He, Zhiwei Yang, Peng Wang, Yanning Zhang

Research Collection School Of Computing and Information Systems

Traditional weakly supervised video anomaly detection (WSVAD) tasks typically rely on coarse-grained frame-level labels for training. Although this approach reduces annotation costs, it results in weak semantic understanding and spatial localization capabilities due to the absence of fine-grained annotations, hindering precise pixel-level anomaly detection and localization. Thanks to the success of vision-language models (VLMs), e.g., CLIP, recent approaches leveraging large VLMs focus on exploiting their strong semantic understanding capabilities, but they typically feed only keyframes or short video segments into the models, without supplying sufficient prior contextual information (e.g., contextual frames around anomalies, zoomed-in anomaly regions, and detailed anomaly descriptions), …

An Assessment Of Carbon Dioxide Removal Potential From Stormwater Ponds Using Concrete-Based Materials, Yu-Hsuan Tai

Theses and Dissertations (Comprehensive)

Stormwater ponds (SWPs) are engineered stormwater infrastructure known to be major greenhouse gas (GHG) emitters, including carbon dioxide (CO₂). Concrete-based materials have great potential to capture CO₂ as carbonate minerals (CaCO₃), through aqueous carbonation, driven by their alkaline nature and high portlandite (Ca(OH)₂) content. However, the mechanistic understanding of how specific parameters including mass, surface area, and degradation of calcium silicate hydrate (C-S-H) phases collectively control carbonation kinetics and CO₂ uptake under dynamically evolving conditions remains underexplored. Laboratory-scale experiments were conducted to evaluate the effects of cement dosage, particle surface area, and …

Logupdater: Automated Detection And Repair Of Specific Defects In Logging Statements, Renyi Zhong, Yichen Li, Jinxi Kuang, Wenwei Gu, Yintong Huo, Michael R. Lyu

Research Collection School Of Computing and Information Systems

Developers write logging statements to monitor software runtime behaviors and system state. However, poorly constructed or misleading log messages can inadvertently obfuscate actual program execution patterns, thereby impeding effective software maintenance. Existing research on analyzing issues within logging statements is limited, primarily focusing on detecting a singular type of defect and relying on manual intervention for fixes rather than automated solutions.To address the limitation, we initiate a systematic study that pinpoints four specific types of defects in logging statements (i.e., statement code inconsistency, static dynamic inconsistency, temporal relation inconsistency, and readability issues) through the analysis of real-world log-centric changes. We …

Sar Ship Detection Based On Shallow Feature Guidance, Chenxu Xia, Peng Chen, Ya Zhang, Ying Li

Journal of Marine Science and Technology–Taiwan

Maritime ship detection is of great significance for both military security and civilian applications. Synthetic Aperture Radar (SAR), with its all-weather and all-day imaging capability, plays a vital role in maritime surveillance. Nevertheless, SAR ship targets typically appear small in scale, embedded in complex backgrounds, blurred at boundaries, and easily confused with near-shore features, which pose substantial challenges for accurate detection. To address these issues, we propose a SAR ship detection network that integrates dual enhancements of small-object representation and edge information. The network introduces two key components: the Small Target Refine Pyramid (STRP) to strengthen shallow feature representation for …

Quasi-Poisson Analogs Of Regular Poisson Varieties, Casen Thompson

All Graduate Theses and Dissertations, Fall 2023 to Present

Let G be a complex semisimple linear algebraic group with 𝐶 a conjugacy class of parabolic subgroups of G. In previous work, Dr. Crooks defines 𝑢_𝐶→ B_𝐶 , a universal flat family of a fine Hamiltonian Lagrangian G-bundles over 𝐶, and shows that 𝑢_𝐶 is a family of regular Poisson varieties. This manuscript introduces a natural candidate for a quasi-Poisson analog of Dr. Crooks’s construction, 𝑢_𝐶, using the framework of quasi-Poisson geometry established by Alekseev, Kosmann-Scwarzbach, and Meinrenken. It will be shown that this proposed quasi-Poisson analog indeed has a valid quasi-Poisson structure and …

Extending Geometric Acoustic Ray Tracing To Multi-Room Environments: A Case Study On Gunshot Sound Transmission Between Adjacent Rooms, Tyler Ton

Theses and Dissertations

Accurate localization of gunshots in multi-room building environments remains a challenging problem in acoustic forensics and public safety applications. Existing approaches model sound propagation within a single room, neglecting the transmission of acoustic energy through walls and other building materials. This thesis presents a study on modeling multi-room gunshot acoustic transmission, combining geometric ray tracing with structural acoustic transmission-loss modeling to generate impulse responses for two horizontally adjacent rooms separated by a shared wall, providing a foundation for future inter-room gunshot localization work. The proposed system uses GSound-SIR, a geometric acoustics engine, to simulate sound propagation in both of the …

Study Of Fast Switching Metastable-State Photoacids And Controlled Drug Release From Polycaprolactone (Pcl) Vascular Scaffold, Rana Salman Abbood Abbood

Theses and Dissertations

Metastable-state photoacid (mPAH) has become a common tool for controlling and driving chemical processes with light. mPAHs with fast reverse reactions are desirable for precise temporal control or generating quick pulses of proton concentration. In this work, different approaches towards fast reversing mPAHs are studied. Experimental and computational results showed that stabilizing the charge–transfer intermediate is an effective way to increase the rate. A novel mPAH with a reverse reaction ≈500 times faster than the most widely used mPAH in methanol has been developed. Another water-soluble mPAH exhibited a reverse reaction with a rate constant of 7.8 s−1, the fastest …

A Projector-Rank Partition Theorem For Exact Degrees Of Freedom In Experimental Design, K. G. Nagananda

Mathematics and Statistics Faculty Publications and Presentations

In many experimental designs—split-plots, blocked or nested layouts, fractional factorials, and studies with missing or unequal replication—standard ANOVA procedures no longer tell us exactly how many independent pieces of information each effect truly contributes. We provide a general degrees of freedom (df) partition theorem that resolves this ambiguity. For N observations, we show that the total information in the data (i.e., N −1 df) can be split exactly across experimental effects and randomization strata by projecting the data onto each stratum and counting the df each effect contributes there. This yields integer df—not approximations—for any mix of fixed and random …

Harnessing Digital Twin (Dt) Technology For Food Security And Climate Resilience In Sub-Saharan Africa (Ssa), Henri E.Z. Tonnang, Francis Chianu, Siyabusa Mkuhlani, Francis Muthoni, John Michael Humphries Choptiany, Franck B.N. Tonle, Bonoukpoe M. Sokame, Mercy Lung’Aho

All Peer-Reviewed Publications

Sub-Saharan Africa (SSA) faces chronic food insecurity despite possessing approximately 60% of the world’s uncultivated arable land. Field trials generate evidence but are costly and insufficiently scaled to address accelerating climate and demographic pressures. Digital twin (DT) technology, defined as the continuous, bidirectional virtual replication of physical systems using real-time data, supports monitoring, modelling, and optimisation of agrifood systems. To our knowledge, however, no published synthesis has examined DT agriculture research through the lens of SSA food systems or smallholder farming realities. A PRISMA-compliant systematic review was conducted across bibliographic databases using a pre-defined Boolean search and adapted PICOS eligibility …

A Finite Element Model For Thermomechanical Stress-Strain Fields In Transversely Isotropic Strain-Limiting Materials, Saugata Ghosh, Dambaru Bhatta, S. M. Mallikarjunaiah

School of Mathematical & Statistical Sciences Faculty Publications

This paper presents a comprehensive computational framework for investigating thermo-elastic fracture in transversely isotropic materials, where classical linear elasticity fails to predict physically realistic behavior near stress concentrations. We address the challenge of unphysical strain singularities at crack tips by employing a strain-limiting theory of elasticity. This theory is characterized by an algebraically nonlinear constitutive relationship between stress and strain, which intrinsically enforces a limit on the norm of the strain tensor. This approach allows the development of very large stresses, as expected near a crack tip, while ensuring that the corresponding strains remain physically bounded. A loosely coupled system …

Data Without Borders, Sovereignty Without Guarantees: Cybersecurity Risks Of Cross-Border Data Hosting In The Global South, Evidence And Policy Lessons From Mozambique, Faztudo Languisse Eng.

Journal of Cybersecurity Education, Research and Practice

The digital transformation of public and private institutions across the Global South has produced a paradox: as states digitize government services, financial systems, and citizen records, an increasing share of this data is hosted on servers physically located in the United States, the European Union, and other developed economies. This article develops a taxonomy of the cybersecurity and sovereignty risks generated by this dependency, distinguishing deliberate risks, arising from extraterritorial legal instruments such as the United States CLOUD Act, foreign surveillance regimes, and a concentrated hyperscale cloud market, from non-deliberate risks, arising from undersea cable failures, hyperscaler outages, misconfiguration, and …

Constructing The Cyber Workforce Gap: Measurement And Its Consequences, Ryan Straight

Journal of Cybersecurity Education, Research and Practice

Cyber workforce-gap figures steer federal strategy, industry advocacy, and the growth of educational programs. Rather than estimating the U.S. gap, this review examines how the estimates are made: through job-posting analytics, survey-based estimation, and federal accounting, each of which must assume its way from instrument to labor market. A census of this journal's complete run illustrates what those figures underwrite in one venue: of 176 items published across eleven years, 51 invoke a labor-market workforce claim, 46 treat it as settled fact, and only one, an editorial, interrogates it. Meanwhile, the producers and auditors of those figures have diverged. Between …

Samarium-Doped Ceria Catalysts For Boron-Aluminum Composite Propellants: Effect Of Synthesis Method, Di̇lara Güçtaş Gürel, Mehmet Ali̇ Faruk Öksüzömer

Turkish Journal of Chemistry

Solid propellants based on ammonium perchlorate (AP) are widely used in rocket and missile propulsion systems due to their high energy density and reliable combustion characteristics. Although aluminum (Al) is the conventional metal fuel in AP-based formulations, boron (B) has gained increasing attention as a partial or full substitute owing to its significantly higher volumetric energy density. However, the low combustion efficiency of boron particles remains a critical challenge, making the use of catalysts essential to enhance the thermal decomposition of AP and overall propellant-burning performance. In this study, samarium-doped ceria (SDC20) catalysts were synthesized by three different methods including …

Effects Of Washing, Oxidation, Carboxylation, And Hydrophobicity On The Antibacterial Activity Of Graphene Oxide And Reduced Graphene Oxide, Emi̇r Boztepe, Ceren Poyraz, Ruki̇ye Taşdemi̇r, Ebru Önem, Ümran Sofu, Keri̇m Yapici

Turkish Journal of Chemistry

In this study, the effects of number of washes, oxidation degree, carboxylation, and hydrothermal reduction temperature on the antibacterial activity of graphene oxide (GO) and reduced graphene oxide (rGO) nanomaterials were investigated. GO derivatives with different numbers of washes (1–5W) and oxidation levels (3X, 6X, and 9X), carboxylated GO (GO-COOH), and rGO samples obtained at different hydrothermal reduction temperatures (100, 140, and 180 °C) were characterized by X-ray diffraction, field-emission scanning electron microscopy, Fourier-transform infrared spectroscopy, zeta potential analysis, and Raman spectroscopy, and were subsequently evaluated for antibacterial activity against gram-positive Staphylococcus aureus (S. aureus) and gram-negative Escherichia coli (E. …

Cobalt-Substituted Hydroxyapatite As A Potential Basis Of Biomaterials: Synthesis, Crystal-Chemistry Properties And Antibacterial Activity, Maria M. Vlasova, Ksenia S. Stasenko, Evgeny Bulanov

Turkish Journal of Chemistry

This paper presents the results of the synthesis of solid solutions of cobalt-substituted hydroxyapatite of the composition Ca10-xCox(PO4)6(OH)2 by the solid-phase and solution method. The formation of only the composition of Ca9.5Co0.5(PO4)6(OH)2 has been reliably established, whereas an increase in the cobalt content, as well as an increase in the temperature of synthesis and calcination of the samples prepared in solution, leads to the formation of stable mixtures of calcium and cobalt phosphates. The crystal structure has been refined for Ca9.5Co0.5(PO4)6(OH)2 (a = 9.4121(28) Å, c = 6.8762(20) Å, V = 527.54(35) Å3; R-Bragg = 2.455%) under the assumption of …

Representational Power As A Framework For Fairness With Applications To Redistricting, Jeffrey Barton

Mathematics Sciences: Faculty Publications

We introduce a framework for assessing fairness in electoral outcomes based on a new notion of representational power that determines a group's power as a combination of its size and how advantageously its voters are situated given the electoral rules. The framework is adaptable to a variety of contexts, and it produces intuitive results. When applied to redistricting, we call the measure the geographic representational baseline. The new measure is deterministic, accessible to non-experts, and relatively simple to calculate. The results generated by the new method are overall mutually reinforcing with those of a variety of ensemble methods for partisan …

Sql Optimization In E-Commerce Platforms Using Large Language Models: A Multi-Pattern Query Empirical Study, Min Ming Lee, Nabhan Salih

Journal of Informatics and Web Engineering

The rapid expansion in e-Commerce domains has presented an unprecedented challenge to database systems that support the execution of complex analytic queries on multi-billion transaction data stream while keeping queries’ response latency under one second. It is commonly observed that Large Language Models (LLMs) are very good at processing natural language queries, rather than struggling with syntax or semantics. This feature is instrumental to various tasks like analytics acceleration, transaction speed-up and handling large workloads across different domains. In this paper, a detailed examination of how LLMs can be employed as intelligent assistants for Structure Query Language (SQL) query optimization …

A Web-Based Multi-Modal Ai Framework For Intelligent Content Moderation With Constructive Feedback, Marwah Zaid Mohammed Al-Helali, Naveen Palanichamy, Su-Cheng Haw, Subhashini Gopal

Journal of Informatics and Web Engineering

Traditional content moderation systems primarily rely on strict measures that focus on removing offending or inappropriate content without offering users any form of educational feedback or guidance. This lack of constructive interaction often leads to a poor user experience, leaving users frustrated and uninformed regarding the reasons behind content removal. Moreover, such a system fails to encourage long-term positive behavioural changes within online communities, as users do not gain insights on how to improve their conduct. This paper proposes a new constructive Artificial Intelligence (AI) intervention system that integrates a number of AI models in order to conceptualize content moderation …

Web Accessibility And Search Engine Optimization: Best Approach For Building Corporate Websites, Jeremiah Charles, Khaled Mahbub

Journal of Informatics and Web Engineering

The rapid digitization of products and services necessitates the development of safeguards to enforce equitable access to internet resources. Although legislative measures have been implemented to compel public-sector organizations to provide accessible web and mobile applications, most websites are still not fully accessible. There is an urgent need for organizations to integrate accessibility into current and future developments. The integration of solutions derived from decades of accessibility research into organizational processes and initiatives is beneficial to all users. This study provides a guide for businesses and organizations to improve their web accessibility and Search Engine Optimization (SEO). This research covers …

Deep Learning For Skin Cancer Classification Using Data Augmentation And Pre-Trained Cnn Models, Pa Pa Min, Fang Yong Lim, Jashila Nair Mogan, Astie Darmayantie

Journal of Informatics and Web Engineering

Skin cancer is one of the most common forms of cancer worldwide, and its early detection is critical for effective treatment and improved survival rates. In recent years, advancements in Artificial Intelligence (AI), particularly deep learning, have shown great promise in enhancing the accuracy and efficiency of medical image analysis. This study aims to develop a non-invasive, AI-powered diagnostic system for the early detection and classification of skin cancer using dermoscopic images. The proposed approach leverages deep learning techniques to automatically recognize and differentiate between various types of skin lesions, including both malignant and benign cases. The project focuses on …

Adaptive And Learned Query Optimization: Techniques, Architectures, And Emerging Trends, Rehab Mohammed Abdelhalim Mokhtar, Palanichamy Naveen

Journal of Informatics and Web Engineering

As databases continue to grow and complexity there is an urgent need to achieve more efficient and faster query processing. This paper presents a technical review of methods that work towards optimization of various types of queries. It progresses by focusing on basic approaches like rules-based optimization and cost-based optimization. Based on this basis, the paper presents a synthesized reference architecture for adaptive and learned query optimizers as a generic framework derived from prior system. It explains on how the classical optimizer components can be enhanced through runtime monitoring integration and feedback mechanisms. From this perspective, it becomes possible to …

Valuation Methods And Their Relevance In Achieving Marine Protected Areas Targets: A Systematic Review, Jacob Ankamah, Stephen Hynes, Daragh O'Leary

Journal of Ocean and Coastal Economics

The prolific human-induced pressures on marine ecosystems leading to negative externalities such as beach erosion, biodiversity loss, and climate change are matters of global concern. Marine protected areas (MPAs) have emerged as a tool to conserve marine biodiversity and support human livelihoods. This paper reviews the global research landscape, the evolution of concepts and the relevance of valuation techniques related to the assessment of the contribution of MPAs to societal welfare. The review indicates that less than 3% of the wider MPA literature explores the economic valuation of MPA designation. Of those, there is an obvious preference for non-market-based methods …

The Digital Responsibility Index: Quantifying Perceived Multi-Layered Responsibility In Cybersecurity, Mircea Ţălu

Journal of Cybersecurity Education, Research and Practice

In the evolving digital landscape, cybersecurity responsibility extends beyond technical safeguards to include individual behavior, organizational governance, and societal impact. This study introduces the Digital Responsibility Index (DRI), a novel metric that quantifies multi-layered accountability across four domains: technical, individual, organizational, and societal. Data were collected through scenario-based Likert-scale surveys with 120 cybersecurity professionals, supplemented by semi-structured interviews with senior leaders. Results reveal that while technical and organizational responsibilities are consistently prioritized, individual and societal accountability remain under-recognized. Leadership engagement significantly enhances responsibility scores across all layers. The proposed DRI framework provides a measurable and potentially actionable basis for assessing …

Nonlinear Mode Crossing And Spontaneous Frequency Comb Generation In Driven Magnetic Nanodisks, Hasan Pi̇şki̇n

Turkish Journal of Physics

Nonlinear magnetization dynamics in confined nanostructures provide a rich platform for fundamental studies and advanced spintronic applications. Here, we investigate the driven dynamics of a perpendicularly magnetized permalloy nanodisk using high-resolution micromagnetic simulations. In the linear regime, geometric confinement quantizes the uniform precession into discrete radial standing spin-wave (SSW) modes. As the excitation amplitude increases, the fundamental Kittel mode exhibits a pronounced nonlinear frequency shift relative to the higher-order SSW modes, ultimately leading to a critical mode crossing associated with nonlinear resonance overlap and the breakdown of modal orthogonality. Time-domain analysis reveals that strong mode hybridization governs the ensuing dynamics, …

Microscopic Study Of Β-Decay And Stellar Weak Rates In Neutron-Rich Scandium Isotopes, Wajeeha Khalid, Jameel-Un Nabi, Maria Ramzan

Turkish Journal of Physics

This study provides a critical investigation of the β-decay characteristics of neutron-rich scandium isotopes (53-65Sc) using the proton-neutron quasiparticle random phase approximation (pn-QRPA) model. The theoretical framework allows for a microscopic understanding of spin-isospin excitation modes that are essential for examining weak interaction phenomena. Charge-changing Gamow-Teller (GT) strength distributions were calculated and found to agree well with existing experimental results, thereby confirming the model's capacity to accurately represent the nuclear configuration of these isotopes. The computed β-decay half-lives and corresponding log ft values exhibit good agreement with experimental data, further validating the GT strength distributions and reinforcing the consistency of …

Theoretical Construction Of Light Hexaquarks And Their Substantiation By Seven-Dimensional Representation Of Su(2) Group, Mayank Joshi, Shuchi Bisht, Navjot Hothi, Manish Bisht

Turkish Journal of Physics

This manuscript presents a theoretical approach to constructing light hexaquarks using up and down quarks. These light exotic hexaquarks are shown to exhibit a seven-dimensional representation of the SU(2) isospin group. Additionally, the isospin septuplet is developed along with the quintet, triplet, and singlet representations for these light exotic hexaquarks. These particles are essentially mesonic in nature and also satisfy the requirements of the Kronecker product. Furthermore, the physical characteristics and weights of the respective states are intrinsically provided for these light hexaquarks.

A Narrative-Driven, Socratic Instructional Framework For Teaching Adversarial Cognition In Cybersecurity, Joshua K. Goossen

Journal of Cybersecurity Education, Research and Practice

The Socratic method has demonstrated, in studies across law, medicine, and nursing, that dialectic structured questioning improves expert reasoning. Cybersecurity currently teaches tools and techniques but lacks Socratic dialogic leaving graduates underprepared for novel scenarios requiring cross-domain reasoning. Because law, medicine and nursing cultivate similar reasoning as security there is principled reason to expect reasoning benefits could transfer to security students. This paper argues that the correspondence warrants investigation. Investigation requires a named, teachable reasoning target analogous to clinical reasoning and we specify that target as adversarial cognition, a framework integrating adversary features, system architecture, implementation logic, governance structure, human …

Community-Based Water Management Through Cultural Ecosystem Services: Traditional Wisdom And Modern Adaptation In Senjoyo Spring, Indonesia, Puji Winarti, Sri Haryani, Sri Wardani, Langlang Handayani

Journal of Environmental Science and Sustainable Development

Small-scale freshwater ecosystems play vital ecological and cultural roles. However, community-based water management (CBWM) often lacks a clear analytical approach to integrating cultural ecosystem services (CES) and traditional ecological knowledge (TEK), limiting the practical understanding of culturally grounded governance. To address this gap, this qualitative study explores the interactions between CES and TEK, analyzes their roles within CBWM, and identifies their implications for sustainable water governance. The integration between cultural value and local ecological knowledge makes Senjoyo Spring an appropriate location for this study. Data were collected through interviews with 20 key informants, field observations, forum group discussions (FGDs), and …

Good Governance In The Concept Of Climate Justice: Decarbonisation Policies In Economic Considerations Of Losses And Sacrifices, Daryanti Daryanti, Albertus Sentot Sudarwanto, Erna Dyah Kusumawati, Rosita Candrakirana

Journal of Environmental Science and Sustainable Development

Projections of losses resulting from the impacts of climate change in Indonesia are estimated to reach USD 30.5 million, affecting four key sectors: agriculture, water supply, health, and the maritime sector. This study shows that good governance based on climate justice in the implementation of decarbonization policies is the most important factor in avoiding long-term economic losses caused by the adverse impacts of climate change or investing in climate resilience. This study employed a normative methodology using a statutory approach to examine efforts related to climate change mitigation and adaptation. The findings of this research indicate that regulations in Indonesia, …

The Colorado River Upper Initial Units Take Center Stage, Eric Kuhn, Anne Castle, Jack Schmidt, Kathryn Sorensen, Katherine Tara

The Traveling Wilburys of the Colorado River

In 1956, Congress authorized the Upper Initial Units—Flaming Gorge Reservoir,

Navajo Reservoir, and the Aspinall Unit (UIUs)—for a variety of water use

purposes in the Upper Colorado River Basin, including compliance with the

1922 Colorado River Compact (1922 Compact). The historical record is clear

that the primary reason these reservoirs exist is to satisfy the math of the 1922

Compact and the obligations it imposed on the Upper Division States

regarding flows at Lee Ferry.