Digital Commons Network^™

Blending Informing Literacy And Visual Literacy: Instructional Vignettes In Art, Architecture, And Design, Stephanie Beene, Sara Schumacher, Dana Statton Thompson, Mary Wegmann

University Libraries & Learning Sciences Faculty and Staff Publications

The ACRL Framework for Visual Literacy in Higher Education (Framework for Visual Literacy), based on empirical research into the trends, opportunities, and challenges facing the field of visual literacy in the twenty-first century,1 was codified in April 2022 and is an adaptable document to help learners grow their visual literacy competencies. In this chapter, written by four of the task force members charged with the creation of the Framework for Visual Literacy, we examine the relationship between the four themes in the Framework for Visual Literacy and the six frames of the ACRL Framework for Information Literacy for Higher Education …

Thermal Fatigue Failure Mechanisms And Enhancement Strategies Of Die Steel, Chuan De Li, Hong Yu Yang, Bai Xin Dong, De Li Chen, Shi Li Shu, Feng Qiu, Qi Chuan Jiang, Lai Chang Zhang

Research outputs 2022 to 2026

Thermal fatigue failure is the core issue that restricts the development of die-casting technology, and it directly impacts the lifespan of the dies and the resulting economic benefits. This article reviews the fundamental mechanisms of thermal fatigue failure of die steels, classifies the potential failure mechanisms and discusses them in detail. This article examines the pivotal factors that affect the thermal fatigue resistance of die steels from four perspectives: alloying elements, processing techniques, microstructure, and inherent properties. On this basis, this article summarizes the advantages and disadvantages of various methods to enhance thermal fatigue resistance, such as alloying element optimization, …

Curing The Peasant's Disease : Frank Oldt’S Work And Research On Hookworm Disease In South China, 1905-1926, Jiaying Fu

Lingnan Theses (MPhil & PhD)

While current scholarship on “hygienic modernity” in China focuses on the construction of urban health systems and institutional infrastructures, this study proposes an alternative analytical lens by foregrounding the domain of agricultural health. It aims to investigate how early twentieth-century medical researchers uncovered public health models grounded in China’s agrarian conditions. Taking the case of Frank Oldt (1879–1976), a medical missionary living in Guangdong between 1905 and 1926, this research examines how he identified, interpreted, and sought to mitigate the problem of hookworm disease—a parasitic condition intricately linked to China’s farming practices and rural environmental conditions.

Specifically, this thesis aims …

Temperature-Dependent Properties Of Cu-Doped Znte Thin Films Deposited On Slg Substrates Via Rf Magnetron Sputtering And E-Beam Techniques, Sherif Salah, Camellia Doroody, Fazliyana ‘Izzati Za'abar, Zheng Jie Feng, Prajindra Sankar Krishnan, Ahmad Wafi Mahmood Zuhdi, Muhammad Najib Harif, Nur Irwany Ahmad, Yap Boon Kar, Mohammad Nur-E-Alam

Research outputs 2022 to 2026

Copper doping in zinc telluride (ZnTe) thin films has been extensively studied for optoelectronic applications; however, challenges remain in optimizing temperature-dependent diffusion while minimizing defect-related emissions. Although numerous studies have explored Cu-doped ZnTe, comprehensive investigations using electron-beam (E-beam) evaporation remain limited, especially concerning its influence on diffusion dynamics, defect formation, and electrical properties. This study systematically examined Cu-doped ZnTe films fabricated via E-beam evaporation with a fixed 50 nm Cu layer deposited at three substrate temperatures (RT, 150 °C, and 300 °C), followed by rapid thermal annealing (RTA) at 100 °C and 200 °C for 1 h under a nitrogen …

Management Of Atypical Haemolytic Uraemic Syndrome With Triggers: Diagnostic And Treatment Algorithms From An Asia-Pacific Perspective, Hee Gyung Kang, Danny Hsu, Noritoshi Kato, Jin Seok Kim, Masayoshi Okumi, Min Hua Tseng, Kun Hua Tu, Desmond Yat Hin Yap, Wai H. Lim

Research outputs 2022 to 2026

Complement-amplifying events/conditions associated with thrombotic microangiopathy (TMA) include pregnancy/postpartum period, severe hypertension, autoimmune diseases, drug exposures, infections and organ transplantation. Some of these ‘triggers’ may exist comorbidly with atypical haemolytic uraemic syndrome (aHUS; a complement-mediated form of TMA), unmask previously undiagnosed aHUS, or occur secondary to aHUS, thus creating a considerable diagnostic challenge. A major goal in patients presenting with TMA is to differentiate complement-mediated aHUS from other causes of TMA such that appropriate targeted treatment with complement 5 (C5) inhibitors can be initiated rapidly to avoid irreversible end-organ damage. To this end, nephrologists and haematologists from Australia, Hong Kong, …

More Prioritisation On Food Security – Exploring What Initiative Leaders Envision For A Food Secure Regional Australia, Isabelle Chiera, Jess Doe, Melissa Stoneham, Saranne Herrington, Amanda Devine, Emily Humphreys, Stephanie L. Godrich

Research outputs 2022 to 2026

Food security is a particular challenge in rural, regional and remote locations due to complexities associated with food availability, access, utilisation, stability, agency and sustainability dimensions. Existing approaches, such as emergency food relief, have been found to inadequately address these challenges, suggesting that a comprehensive portfolio of solutions could be more effective. Understanding what food security initiative leaders operating in these areas consider important will help establish a shared goal to guide the development of a portfolio approach. This paper aimed to determine government and community-led food security initiative leaders' visions of a food secure regional Australia. This qualitative study …

Waste By-Products In Asphalt Concrete Pavement Construction: A Review, Nuha S. Mashaan, Daniel O. Oguntayo, Chathurika Dassanayake

Research outputs 2022 to 2026

The use of mining by-products in bitumen and asphalt mixture modification has drawn a lot of interest lately since it can improve pavement performance while advancing the goals of the circular economy and environmental sustainability. Mining by-products such as steel slag, red mud, silica fume, and fly ash have demonstrated good results as sustainable materials for improving the chemical, mechanical, durability, and rheological properties of asphalt binders and mixtures while also reducing the environmental degradation brought about by the disposal of these by-products. This study reviews research efforts on mining by-products (specifically steel slag, silica fume, red mud, and fly …

Work While You Learn: Evaluating A Paid Employment Model For Postgraduate Midwifery Students In Diverse Contexts, Sadie Geraghty, Kirstie Balding, Sheena Mcchlery, Sarah Hay

Research outputs 2022 to 2026

Background: Postgraduate midwifery student employment models are lacking robust evaluation of how the paid employment model serves as a workforce strategy in Western Australia. Aim: The aim of this study was to evaluate a paid employment model for postgraduate midwifery students, that was implemented in metropolitan, rural, and regional areas in a Western Australian context. Methods: A convergent parallel design collected both quantitative and qualitative data. This study used a survey design with quantitative and qualitative questions within a well-established process evaluation framework. Results: All midwifery students reported benefits of the paid model of employment, which included financial stability while …

Design Of Robust Adaptive Nonlinear Backstepping Controller Enhanced By Deep Deterministic Policy Gradient Algorithm For Efficient Power Converter Regulation, Seyyed Morteza Ghamari, Asma Aziz, Mehrdad Ghahramani

Research outputs 2022 to 2026

Power converters play an important role in incorporating renewable energy sources into power systems. Among different converter designs, Buck and Boost converters are popular, as they use fewer components and deliver cost savings and high efficiency. However, Boost converters are known as non–minimum phase systems, imposing harder constraints for designing a robust converter. Developing an efficient controller for these topologies can be difficult since they exhibit nonlinearity and distortion in high frequency modes. The Lyapunov-based Adaptive Backstepping Control (ABSC) technology is used to regulate suitable outputs for these structures. This approach is an updated version of the technique that uses …

Scientific Multimodal Summarization : Integrating Knowledge Across Textual, Visual And Auditory Content, Zusheng Tan

Lingnan Theses (MPhil & PhD)

As scientific publications increasingly incorporate multimodal content, ranging from textual descriptions to figures, tables, presentation videos, and audio, there is a growing need for summarization systems that can effectively process and integrate information across these diverse modalities.

This work presents a comprehensive exploration of Scientific Multimodal Summarization, introducing a series of novel architectures and datasets aimed at advancing this emerging field. 1): We begin by introducing CMT-Sum, which integrates multimodal scientific source content (i.e., primarily paper text and figures) to generate high-quality textual summaries and identify representative graphical abstracts. We refer to this task as Scientific Multimodal Summarization with …

The Effects Of Mouthguard And Physiotherapy On Bruxism: An Emg And Posture Angle Analysis—A Pilot Clinical Study, Nathalie Yared, Pascal El Braidy, Romy Slaiby, Amine El Zoghby

International Arab Journal of Dentistry

Objectives: The purpose of this research was to determine whether a clinical trial to assess the impact of physiotherapy and mouthguards on bruxism was feasible. This included assessing participant recruitment, carrying out the interventions, and gathering data with appropriate techniques. The study focused on using posture angle analysis to evaluate changes in posture linked to bruxism and electromyography (EMG) to detect muscular activity. By exploring these elements, the study aimed to provide the groundwork for a more extensive, larger clinical trial.

Methods: Participants were recruited from the USJ dental clinics after their consultations. They were screened for bruxism using a …

Table Of Contents, Editorial Board, Law School Faculty And Administration

Nevada Law Journal

No abstract provided.

Nothing To Gain: The Disparate Impact Of The Capital Gains Tax Preference On Women And Persons Of Color, Ann M. Murphy

Nevada Law Journal

Tax preference provisions are scattered across the Internal Revenue Code, and the capital gains tax rate offers an enormous advantage for wealthy taxpayers. When first enacted, it was touted as eliminating the “lock-in effect” which caused investors to hold on to their investment property. Today, it is justified as encouraging investment and eliminating gains produced merely by the passage of time. The provision’s unequal benefits are hidden from the picture. Although not overtly dis-criminatory, the preference operates as a tax cut for the wealthy. Women and per-sons of color see little benefit from the lower tax rate. The difficulty of …

Getting It Just Right: The Goldilocks Level Of Securities Regulation, David Nows

Nevada Law Journal

Across the world, developed economies use roughly the same framework to regulate entrepreneurial ventures raising capital. The minor differences in how developed countries regulate securities for emerging businesses lie primarily in their legal thresholds for fundraising caps, disclosure requirements, and the criteria for accredited investors. This uniform regulatory framework persists despite significant empirical evidence that the citizens of developed countries vary widely in their desire to pursue entrepreneurial opportunities, their perceptions of the number and quality of entrepreneurial opportunities available to them, and their perceptions of their own ability to succeed in entrepreneurship. This Article advocates for a new approach …

A Safe Structure: Utilizing Antitrust Structuralism To Address Institutional Investors In The Housing Market, Vanessa M. Brady

Nevada Law Journal

No abstract provided.

The Worker Fight Against Compelled Listening: The Past, Present, And Future Of Captive Audience Meetings In The Wake Of Amazon.Com, Hailey Simpson

Nevada Law Journal

No abstract provided.

Enhanced Key Generation Method Using Deep Q-Networks Algorithm With Chaotic Maps, Ali A. Mahdi, Mays M. Hoobi

Mesopotamian Journal of CyberSecurity

In contemporary digital environments, exponential cyber threat growth has made cryptographic key generation a critical security challenge. Traditional Pseudo-Random Number Generators (PRNGs) and existing chaos-based methods often exhibit insufficient entropy, limited randomness quality, and inadequate resistance to statistical attacks. Current implementations frequently produce suboptimal entropy values and fail to meet modern cryptographic security standards and rigorous randomness testing protocols. This paper aims to design and implement an advanced cryptographic key generation system that combines Deep Q-Networks (DQN) algorithms with multiple chaotic maps to produce cryptographically secure stream key bits with high randomness and strong resistance to cryptanalytic attacks. The proposed …

Comprehensive Study Of Integrating Clustering And Adversarial Learning For Enhanced Recommender Systems: A Systematic Review Of Hybrid Methodologies And Applications, M. E. Alqaysi, Murtadha M. Hamad, Ahmed Subhi Abdalkafor

Mesopotamian Journal of CyberSecurity

Recommender systems (RSs) have become critical elements in modern instances of information and decision-support systems, resulting in a transformation of user experiences through highly personalized suggestions for an undeniably vast range of items. Although RSs have become commonplace, they continue to evolve, and their challenges, including sparsity, cold-start, scalability, and vulnerability to adversarial challenges remain. The use of clustering methods has proven highly effective in resolving these issues through the discovery and exploitation of latent user behaviour patterns, segmenting user groups that contribute more towards personalized and adaptable RSs. Additionally, adversarial learning has become a growing focus of study as …

Priflex: A Secure Federated Learning Framework For Evaluating Privacy Leakage And Defense In Cross-Modal Medical Data, Mohammad Othman Nassar, Feras Fares Al-Mashagba

Mesopotamian Journal of CyberSecurity

Federated learning (FL) enables decentralized, privacy-preserving machine learning by training models across distributed data without sharing raw patient information. However, most FL frameworks focus on unimodal data and overlook critical challenges in multimodal healthcare settings, such as privacy risks, fairness disparities, and reduced model interpretability. We present PRIFLEX (Privacy-Resilient Integration Framework for Learning Exchange), a novel FL framework designed for secure integration of structured and unstructured medical data. PRIFLEX combines 12-lead electrocardiograms (ECG) from the PhysioNet PTB-XL dataset and clinical notes from the Medical Information Mart for Intensive Care IV (MIMIC-IV), supporting early, late, and hybrid data fusion strategies. To …

Blockchain-Based Accountability: A Systematic Literature Review, Nabeel Z. Tawfeeq, Dujan B. Taha

Mesopotamian Journal of CyberSecurity

The Blockchain algorithm has advanced the accountability and transparency of modern digital infrastructures. Enforcing responsible behavior and data integrity across distributed environments involves several key components, such as smart contracts, access control models, cryptographic techniques, and a decentralized identity framework. Because the blockchain ledger is immutable and transparent, once a transaction is recorded, it cannot be altered without detection, making fraudulent actions easily traceable and thereby ensuring accountability. However, the need for hybrid approaches that combine on-chain and off-chain solutions for an efficient reliability system introduces challenges, including privacy preservation, scalability, and regulatory compliance. This paper analyzes the effective features …

Blockchain-Integrated Edge-Cloud-Enabled Healthcare Data Analytics Based On Distributed Federated Learning And Deep Neural Networks, Mazin Abed Mohammed, Mohd Khanapi Abd Ghani, Israa Badr Al-Mashhadani, Sajida Memon, Sajida Memon, Haydar Abdulameer Marhoon, Marwan Ali Albahar

Mesopotamian Journal of CyberSecurity

The exponential growth of healthcare Internet of Things (IoT) data necessitates secure, low-latency analytics that extend beyond centralized architectures. This paper presents BDAFL DNN, a blockchain-integrated data analytics framework that combines Federated Learning (FL) and Deep Neural Networks (DNNs) for real-time, privacy-preserving healthcare analytics across edge and cloud resources. Local devices such as smartwatches and phones collect noninvasive time series sensor streams (heart rate, temperature, and abdomen sensors), perform on device DNN training, and send only model updates to healthcare edge nodes, where a blockchain ledger validates updates for integrity and traceability; validated updates are then aggregated in the cloud …

Improvement Of The Face Recognition Systems Security Against Morph Attacks Using The Developed Siamese Neural Network, Sura Abed Sarab Hussien, Thair Abed Sarab Hussien, Nada Hussein M. Ali

Mesopotamian Journal of CyberSecurity

Face Recognition Systems (FRS) are increasingly targeted by morphing attacks, where facial features of multiple individuals are blended into a synthetic image to deceive biometric verification. This paper proposes an enhanced Siamese Neural Network (SNN)-based system for robust morph detection. The methodology involves four stages. First, a dataset of real and morphed images is generated using StyleGAN, producing high-quality facial images. Second, facial regions are extracted using Faster Region-based Convolutional Neural Networks (R-CNN) to isolate relevant features and eliminate background noise. Third, a Local Binary Pattern-Convolutional Neural Network (LBP-CNN) is used to build a baseline FRS and assess its susceptibility …

Global Research Trends And Collaboration In Mitre Att&Ck Framework: A Bibliometric And Network Analysis In Cybersecurity, Asad Maqsood, Syifak Izhar Hisham, Ahmad Firdaus

Mesopotamian Journal of CyberSecurity

The MITRE ATT&CK framework has become a foundational tool for organizing adversarial behaviors and techniques in cybersecurity. While its adoption in practice and academia has grown significantly, no prior bibliometric review has comprehensively mapped the global research landscape surrounding this framework. This study addresses that gap by conducting a systematic bibliometric and network analysis of publications related to ATT&CK indexed in Scopus from 2017 to 2025. Using VOSviewer and quantitative bibliometric methods, we analyzed 391 publications to identify trends in research output, influential works, key contributors, thematic areas, and patterns of collaboration. Results show exponential growth in studies related to …

Mitigating Zero-Day Vulnerabilities In Iiot Systems: Challenges And Advances In Ai-Powered Intrusion Detection Systems, Khalid Asaad Hashim, Yusnani Binti Mohd Yussoff, Shahrani Binti - Binti Shahbudin

Mesopotamian Journal of CyberSecurity

Zero-day attacks are one of the great challenges that intrusion detection systems have been facing and keep on facing today, especially worsening within Industrial Internet of Things environments since their ability to take advantage of unknown vulnerabilities results in a high rate of false negatives. It is under this framework that this paper presents a set of experiments that have been carried out with the objective of analyzing the consequences of zero-day attacks with regard to performance degradation in Intrusion Detection System (IDS) and, secondly, and with greater emphasis, about those failings which have been pointed out up to now …

A Proposed Algorithm For Avoiding Jammer In Structure-Free Wireless Sensor Networks, Zainab Shaker Matar Al-Husseini, Hussain K. Chaiel, Amel Meddeb, Ahmed Fakhfakh, Ahmed Fakhfakh

Mesopotamian Journal of CyberSecurity

Wireless Sensor Networks (WSNs) have emerged as a transformative technology with applications in critical and often inaccessible environments, including military and security domains. These networks comprise cooperative sensor nodes that gather and relay data to a base station. However, their inherent resource constraints—particularly the non-rechargeable nature of energy—pose a major challenge to network longevity and reliability. Conventional fixed-path transmission protocols exacerbate this issue, as energy-depleted or jammed nodes can disrupt communication, leading to partial or complete data loss. The primary objective of this study is to design and evaluate a structure-free transmission protocol that dynamically adapts data routing in order …

“Small” Voices, Big Wins: Analyzing Remedies In Children’S Climate Cases, Maria Antonia Tigre

Sabin Center for Climate Change Law

Children’s climate litigation has emerged as a powerful tool to address the climate crisis, with young plaintiffs around the world taking governments and corporations to court to demand climate action. This Article examines successful cases — those in which relief sought by the applicants was fully or partially granted — across five continents, providing an “around the world” perspective on the evolution and impact of youth-led climate litigation. Focusing on landmark cases in Australia, Colombia, South Africa, South Korea, and the United States, this analysis highlights the arguments presented by young plaintiffs and the judicial reasoning that supported the relief …

Skill Gaming, Pooled Prize Money, And Minor League Professional Tennis, Ryan Rodenberg, Seth Richey

UNLV Gaming Law Journal

No abstract provided.

Rural Business Development Corporation Annual Report 2024-25, Department Of Primary Industries And Regional Development, Western Australia

All other publications

In this report, the Rural Business Development Corporation is referred to as ‘the Corporation’ or ‘the RBDC’. The RBDC is an independent statutory authority of the Government of Western Australia (WA), established under the Rural Business Development Corporation Act 2000 (Act). The Act preserved and continued the body corporate established by the Rural Adjustment and Finance Corporation Act 1993.

What we do

The RBDC administers approved assistance schemes on behalf of the WA Government for the benefit of rural industry and regional communities. Approved schemes may provide financial assistance by way of loans, grants, or other financial incentives. The Act …

Psyx 520.01: Advanced Psychological Statistics, Daniel J. Denis

University of Montana Course Syllabi, 2021-2025

No abstract provided.

Russ 355.01: Russian And The West - From Peter The Great To Putin, Clint B. Walker

University of Montana Course Syllabi, 2021-2025

No abstract provided.