Digital Commons Network^™

Lorawan-Based Asset Tracking System Development And Performance Analysis Within Stem-Pbl Framework: A Mixed-Method Study, Yousef Alfarraj, Ghada Abdelhady, Abdelrahman Ahmed, Mahmoud Elaasar, Jair J. Aguilar

Teaching and Learning Faculty Publications

This study examines the integration of project-based learning (PBL) within the integrative STEM framework to advance practical problem-solving skills and investigate students' perceptions of the STEM-PBL approach through developing an IoT-enabled asset tracking system using Long-Range Wide Area Network (LoRaWAN) technology to tackle real-world logistical challenges. Adopting a mixed-methods approach, the study combines an experimental approach utilizing quantitative system performance analysis with qualitative insights gathered through participant interviews with ten graduate students. Results reveal that the LoRaWAN system demonstrated high reliability with only 0.437% downtime, validating the technical feasibility of the educational project. Furthermore, participants perceived the STEM-PBL approach positively, …

Machine Learning For Wearable Sensor-Based Human Movement Rehabilitation: A Five-Year Systematic Review, Yassine Benachour, Farid Flitti, Lina Maloukh, Aicha Beya Far, Elhocine Boutellaa, Mohamed Bentoumi, Marwa Chendeb El Rai, Nour Aburaed, Khaled Ali, Moez Rehman, Sultan Mosleh, Rania Dghaim, Sadok Bouamama

All Works

Wearable-sensor-based human movement analysis is an increasingly important component of digital health and rehabilitation, enabling objective monitoring and data-driven personalization of therapy. In parallel, machine learning (ML) methods have rapidly expanded for interpreting multimodal movement signals, yet the evidence base remains heterogeneous and difficult to benchmark. This PRISMA-guided systematic review synthesizes recent ML approaches for wearable human motion analysis in rehabilitation-oriented health applications. We searched IEEE Xplore, PubMed, and Scopus for English-language studies published from 2021 to 2025 and extracted information on sensor modalities, ML task formulations and model families, dataset characteristics, validation protocols, and reported performance metrics, together with …

Rumooz Aljareemah: An Intelligent Search System For Uae Criminal Law With Case Correlation Framework For Forensic Investigators, Rahaf Alnuaimi, Maryam Almarzooqi

All Works

Digital forensic investigations in the UAE encounter dual challenges: effectively correlating data across cases and complying with local legal frameworks. Conventional methods create information silos that hide connections between instances and increase the probability of procedural errors. This paper presents RUMOOZ ALJAREEMAH, a prototype platform for case correlation designed for cybersecurity experts and forensic investigators in the UAE. The approach integrates a correlation engine with a UAE-specific legal compliance framework, using authentication protocols, bilingual assistance, and text-based search algorithms. Our theoretical framework suggests enhancements in investigative efficiency, including reduced case resolution durations, improved identification of cross-case relationships, and a decrease …

Stem Identities Of Iowa State University's Biological And Biomanufacturing Systems Technology Students, Levi Nettleton

Dissertations and Theses @ UNI

STEM identity plays a crucial role in students' pursuit and persistence into the STEM field. Iowa State University's Biological and Biomanufacturing Systems Technology (BBST) undergraduate program, developed in alignment with the goals of Chemurgy 2.0, prepares students for careers in the growing STEM workforce. The purpose of this study is to examine how participation in the Biological and Biomanufacturing Systems Technology program influences undergraduate students' STEM identity and how students within the program perceive themselves within the scope of STEM. Specifically, the study investigates students' perceptions of their STEM identity across the four components of STEM identity: recognition, performance and …

2026 Georgia Southern University Football Roster, Georgia Southern University

Men's Football Records

No abstract provided.

Rsif Benin Country Report 2026 - English, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Benin’s development ambitions increasingly depend on its ability to build the scientific and technological capabilities required for a more productive, diversified and knowledge-driven economy. The country’s National Development Plan (PND) 2026–2035, approved in May 2026 as the first implementation phase of the Benin 2060 national development vision, places economic diversification and structural transformation at the centre of the country’s longer-term development trajectory. This builds on the preceding PND 2018–2025, which identified the development of qualified and competitive human capital, technological progress, research and innovation as important foundations for improving productivity and competitiveness.

Benin has demonstrated its commitment to building advanced …

Rsif Burkina Faso Country Report 2026 - English, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Burkina Faso has placed human capital development and structural economic transformation at the center of its development agenda. The country’s National Development Plan 2026–2030 (Plan RELANCE) seeks to build a sovereign and prosperous nation through endogenous and sustainable development, with priorities that include strengthening human capital, productive sectors and infrastructure. These ambitions require a stronger base of scientists, engineers and innovators capable of supporting the country’s transformation.

Burkina Faso has demonstrated its commitment to strengthening advanced scientific capacity through its participation in PASET-Rsif since 2020. As one of the nine African governments contributing to the Regional Scholarship and Innovation Fund, …

Rsif Ghana Country Report 2026, Regional Scholarship And Innovation Fund (Rsif)

Rsif Country Progress Reports

Ghana's development agenda puts science, technology and innovation (STI) at the centre of its plans for a more productive, diversified, knowledge-driven economy. The Medium-Term National Development Policy Framework 2026–2029 names two constraints on industrial development: low investment in research and development (R&D), and a shortage of skilled industrial personnel. In response, it calls for greater use of applied research, more R&D investment and industry-relevant skills. The 2026–2029 Medium-Term Development Plan for science and technology and the National STI Policy support these goals. They call for mainstreaming STI across sectors, expanding tertiary STEM education and strengthening research infrastructure and institutional capacity. …

Exploratory Study Of The Relationship Among Religiousness, Resilience, Grit, Calling, And Differentiation Of Self In Nursing Students, Christine L. Sommers, Yonathan Aditya, Grace Solely Houghty, Ihan Martoyo

Health Professions Education

Purpose: To explore the relationships between resilience, religiousness, grit, calling, and differentiation of self in nursing students.

Methods: A cross-sectional design with a questionnaire was used. A total of 434 nursing students currently enrolled in a nursing degree program completed the online questionnaire, for a response rate of 32.3%. The study used the Indonesian version of the following instruments: 1) CD-RISC 10; 2) Four Basic Dimensions of Religiousness; 3) 12-Item Grit Scale; 4) Brief Calling Scale; 5) Differentiation of Self.

Results: Most of the participants were female, enrolled in a Bachelor of Nursing program, and desired to be nurses to …

Increasing Nursing Education On Effective Therapeutic Communication For Postpartum Depression: A Quality Improvement Project, Kayley Jade Couture

Master's Theses and Capstones

Introduction
At a nonprofit hospital located in New Hampshire, a 5P assessment was completed to determine a gap in the nursing staff's education on postpartum depression on a labor and delivery unit. Through the use of instructional design, persistent education on postpartum depression shows an overall increase in knowledge resulting in better patient-centered care (Takei, 2023). An important aspect of this quality improvement project was the participation of the nursing staff.

Methods
Using the PDSA framework (Plan-Do-Study Act), registered nurses on a labor and delivery unit participated in a three week quality improvement project to test their knowledge on postpartum …

Flow Regime-Independent Two-Group Interfacial Area Concentration Model For Dispersed Gas-Liquid Flows In Large-Diameter Pipes, Hossein Barati, Takashi Hibiki, Joshua P. Schlegel, Naofumi Tsukamoto

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

In many power plants, boiling can result in two-phase flows during normal and accident conditions. Heat and mass transfers through the gas-liquid interface in a two-phase flow process are proportional to the interfacial area concentration (IAC). These calculations for nuclear systems are typically performed using advanced system analysis codes such as TRACE. TRACE uses a two-group (2G) model, where bubbles are divided into two groups according to their drag coefficients. Correlations are used to calculate the group-wise void fractions (VFs) and IACs. This study evaluates the accuracy of the TRACE 2G VF and IAC models for vertically upward dispersed flows …

Implementation Of Tritium Transport In A Gas-Liquid Contactor Cfd Simulation Of Tritium Extraction From Lead-Lithium In Ansys Fluent, Anthony G. Bowers, Subash L. Sharma, Thomas F. Fuerst

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Modifications to the Computational Fluid Dynamic (CFD) software ANSYS Fluent were done to quantify and characterize tritium transport in gas-liquid contactors (GLCs). A double-slit, Ergun-like equation was employed for the porous media model, with Ergun coefficients validated with Sulzer's Sulcol software. Tritium transport from PbLi within the GLC was verified against analytical models. The geometry of the CFD model was based on the MELODIE GLC experiment. The hydrodynamic CFD pressure drop results align well with Sulcol estimations and fall between the predictions of the analytical Delft-Olujić and Billet and Schultes models. In terms of mass transfer efficiency, traditional mass transfer …

Synthesis Of Nickel Nanoparticles By Gamma Irradiation And Femtosecond Laser Ablation, V. M. Rao, Y. Han, H. Tsai, C. H.C. Giraldo, T. Akyurek

Nuclear Engineering and Radiation Science Faculty Research & Creative Works

Nickel nanoparticles were synthesized by (i) gamma irradiation of aqueous nickel chloride precursors and (ii) double scan femtosecond laser (FSL) ablation of a pure nickel foil in water. The nanoparticles produced by FSL ablation were further stabilized in acetone. Gamma radiolysis yielded nickel nanoparticles in the 2–22 nm range, with the average particle diameter governed by the total absorbed dose. Nickel nanoparticles produced by double scan FSL ablation were in the 2–17 nm range but less monodispersed than the nanoparticles produced via gamma radiolysis. FSL ablation proved to be superior in terms of yielding a higher number of smaller nanoparticles …

Crispr-Cas9 Unleashed: Gene-Slicing Adventures In The Cancer Battlefield, Shivakuma Sonnaila, Shilpi Agrawal

Chemistry & Biochemistry Faculty Publications and Presentations

Cancer, a global health menace, continues to pose significant challenges in terms of incidence and mortality, necessitating innovative therapeutic strategies. Despite existing treatments, the limitations persist, prompting a quest for novel approaches. The emergence of immunotherapy marked a transformative era in solid tumor treatments, yet its efficacy is constrained by adverse effects. Concurrently, the integration of advanced technologies into cancer treatment explores the vast potential residing at the molecular level through gene analysis and manipulation. This review articulates the role of state-of-the-art genome editing technology, notably clustered regularly interspaced short palindromic repeats (CRISPR-Cas9), in overcoming the constraints of immunotherapy for …

A Universal Hybrid Model-Free Deep Quantum–Transfer Learning Controller Enhanced By Grey Wolf Optimization For Dc–Dc Boost Converters With Hardware-In-Loop Validation, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

This paper proposes a universal hybrid model-free quantum–transfer learning controller with enhanced online grey wolf optimization algorithm (GWO–QTL) for DC–DC boost converter. This system has the characteristics of non-minimum phase behavior, parasitic effects, and fractional-order dynamics because of high frequency operation. These characteristics make analytical modeling complicated and make it difficult to have a single traditional controller that will operate reliably over different converter types. This motivates the creation of a unified model-free control framework that is able to learn directly from the behavior of the converter without relying on the topology specific models. Reinforcement learning, where an agent interacts …

Design And Technology Pre-Service Teachers’ University Course Lived Experiences In Western Australia, Carol K. Puddicombe, Nicola F. Johnson

Research outputs 2022 to 2026

Design and Technology (D&T) education, historically rooted in industrial and manual arts, now integrates design-focused thinking with the practical processes of prototyping and making. Drawing on a doctoral study, this article examines the university course experiences of ten pre-service D&T teachers in Western Australia and how these shaped emerging beliefs and professional identities. Using an interpretivist framework and interpretative phenomenological analysis, interviews with ten final-year pre-service teachers were analysed. Five interrelated themes are examined in this article: knowledgeable lecturers, hands-on practical learning, curriculum breadth, peers, and internal concerns. The findings highlight the importance of current, school-connected lecturers; structured learning that …

Dropouts And Refusers: Clinicians’ Insights And Initiatives Into Reducing Treatment Attrition Amongst Young People Who Sexually Offend, James L. Finney, Natalie Gately, Suzanne Rock, Jocelyn Jones

Research outputs 2022 to 2026

Sexual offending by young people causes significant harm to victims, families and communities. Treatment engagement and completion are therefore important for reducing future harm; however, young people who drop out of, or refuse to engage in, treatment present a unique challenge for clinicians and justice systems. Drawing on Bronfenbrenner’s (1979) ecological systems theory, this study explored clinicians’ perspectives on the barriers to treatment engagement and completion for young people who have sexually offended in the Australian context. Semi-structured interviews were conducted with clinicians who provided or facilitated treatment for young people who had sexually offended (N = 22). Two major …

Multi-Objective Hydro-Thermal Optimization Of Spiral Conformal Cooling Channels Using A Kriging-Cfd Framework, Soroush Masoudi, Barun K. Das, Majid Tolouei-Rad

Research outputs 2022 to 2026

This study presents a surrogate-based computational framework for the thermo-hydraulic optimization of spiral conformal cooling channels (CCCs) used in injection moulding applications. Sixteen design configurations were generated using Latin Hypercube Sampling and evaluated through CFD simulations to determine cooling time and pressure drop. Based on the simulation data, a Universal Kriging surrogate model was developed to describe the nonlinear relationships between channel diameter, helix pitch, channel-to-surface distance, and the resulting thermo-fluid performance. The predictive capability of the surrogate model was evaluated using leave-one-out cross-validation. The model showed excellent agreement for pressure drop prediction (R² ≈ 0.99) and good predictive accuracy …

Numerical Investigation Of The Influence Of Fiber Content On The Shear Performance Of Uhpc Deep Beams Reinforced With Hybrid Steel And Synthetic Fibers, Hossein Mirzaaghabeik, Sanjay Kumar Shukla, Nuha S. Mashaan

Research outputs 2022 to 2026

This study investigates the shear performance of ultra-high-performance concrete deep beams (UHPC-DBs) reinforced with hybrid fibers comprising 5D steel fibers and Forta-Ferro (FF) synthetic fibers. UHPC-DBs are widely used in bridges, piles, and transfer girders because of their high load-bearing capacity. Although fiber content strongly influences shear behavior, the contribution of synthetic fibers in hybrid systems remains insufficiently understood. To address this gap, finite element analysis based on the concrete damage plasticity (CDP) model was developed in ABAQUS and validated using experimental results from five previously tested UHPC-DBs with different fiber contents. Load–deflection response, crack patterns, shear capacity, mid-span deflection, …

Optimizing The Size And Siting Of Distributed Generation In Unbalanced Distribution Systems With Multi-Objective Reptile Search Algorithm, Pema Dorji, Chimi Pelden Dorji, Stefan Lachowicz, Octavian Bass

Research outputs 2022 to 2026

This paper presents the Multi-Objective Reptile Search algorithm for identifying ideal rating and location of distributed generation in unbalanced grids, focusing on minimizing power losses, total costs, and carbon emissions. The proposed methodology integrates DIgSILENT PowerFactory and Python platforms to evaluate unbalanced IEEE distribution feeders under varying power factor conditions. The results demonstrate that optimal DG configurations involve strategically positioning multiple units to enable both active and reactive power injection, significantly improving overall system performance across multiple objectives and voltage deviation index. The analysis identifies an optimal PF range between 0.75 and 0.89, with unity power factor operations yielding suboptimal …

Precarity On The Move: The Relative Economic Precarity Of Mobile Youth Moving To Australia, Lara Mckenzie, Anita Harris, Loretta Baldassar

Research outputs 2022 to 2026

Analyses of precarity often focus on how insecure employment, careers, finances, and geographies influence people’s lives for the worse, with young people understood as especially precarious in their economic stability and transitions to adulthood. This article analyses accounts of precarity amongst middling transnationally mobile youth, drawing from 24 semi-structured interviews incoming to Australia, and longitudinal survey data. We show that experiences of economic precarity are impacted by their access to work, government support, ability to access or sustain visas, and access to support from family and partners. By drawing on migration scholars’ observations that transnational mobility can be privileged and …

Role Of Ethical Principles And Ai Characteristics In Shaping Generative Ai Use In Higher Education And Its Impact On Academic Performance, Mostafa Al-Emran, Mohammed A. Al-Sharafi, Behzad Foroughi, Noor Al-Qaysi, Nelson K.Y. Leung, Zaher Mundher Yaseen, Nor’Ashikin Ali

Research outputs 2022 to 2026

The rapid integration of Generative AI in higher education has transformed teaching and learning, yet limited research explores the factors driving its adoption and impact on academic performance. This study addresses the gap in understanding how ethical principles (fairness, accountability, transparency, accuracy, autonomy) and AI characteristics (perceived anthropomorphism, perceived intelligence) influence students’ use of Generative AI tools and their subsequent academic outcomes. The research aims to develop and test a theoretical model that integrates these factors to explain Generative AI adoption and its effect on perceived academic performance among university students. Data were collected through surveys from 318 students and …

Supporting Displaced Students With Disabilities In Post-Secondary Education: An International Scoping Review, Tetiana Bogachenko, Jia Xu, Larysa Klymanska, Nadia Chubko

Research outputs 2022 to 2026

Students with disabilities who are forced to leave their homes due to armed conflict, persecution, environmental crises, or other forms of involuntary displacement, within their country or internationally, face compounded barriers to accessing and succeeding in post-secondary education. Yet, their experiences, educational trajectories, and the supports available to them remain underexplored. This scoping review examines existing empirical research on the experiences of students with disabilities in post-secondary education who come from forced migration backgrounds. By addressing the intersection of disability, displacement, and post-secondary education, this review highlights the unique challenges faced by this population as well as supports identified as …

The Basis For Recommending The Selection Of Samplers In Determining Occupational Exposures To Aerosols, Martin Harper, Pieter Bertier, Marcus Cattani, Karen Galea, Darrah Sleeth, Steven Verpaele

Research outputs 2022 to 2026

Measurements are considered to be the basis of exposure assessments used to determine risks to workers. Inhalation exposure poses the greatest risk for most airborne chemicals, and measurements are based on collecting (sampling) and analyzing air samples. Samplers have been developed for more than 120 years. Each new design has been intended to address flaws perceived in earlier designs. Users are faced with a varied array of samplers from which to choose. Comparisons are difficult to make because tests of sampler performance were not standardized until recently and have not been applied consistently. The existing large body of work does …

What Are Information Literacy Skills? Western Australian Primary Teachers’ Interpretations Of The Ict Curriculum, Louise Moroney, Vaille Dawson

Research outputs 2022 to 2026

Teachers must equip students to navigate an increasingly complex world of unique challenges and opportunities, necessitating the development of a diverse range of transferable skills. These skills are embedded in the General Capabilities (GC) of the Australian school curriculum. Upper primary school teachers’ interpretations of one of the GC, Information and Communication Technology (ICT) learning progressions, was examined, as these skills have become increasingly important with the rise in generative and assistive artificial intelligence. Using an interpretivist paradigm, an exploratory study was used to determine the areas where 36 teachers differed in their interpretations of the learning progression. Data collected …

Students’ Experiences Of Living With Adhd At University: A Meta-Ethnography, Maree Mestichelli, Elisa Pepall, Thuy Tran, Mandy Stanley, Amy Cairns, Therese A. O’Sullivan

Research outputs 2022 to 2026

While the prevalence of attention deficit hyperactivity disorder (ADHD) among university students varies depending on the population studied, it has been estimated at approximately 16%. University students with ADHD may find that the condition affects their academic performance, social interactions, and well-being. This meta-ethnographic review synthesizes findings from 25 qualitative studies to explore the lived experiences of university students with ADHD. The studies, published between 2000 and 2023, were predominantly conducted in the United States with sample sizes ranging from 4 to 135 students. Students came from a broad range of academic disciplines and included undergraduates, recent graduates, and attendees …

Beyond Compliance: Transformative Co-Design For Gender-Based Violence Prevention In Higher Education, Narelle Lemon, Christina Gray, Jason Goopy, Lisa Holmes, Bec Ball, Melissa Perry, Elisa Fear

Research outputs 2022 to 2026

This study examines how university staff and students experience transformative learning through voluntary participation in a gender-based violence (GBV) prevention programme that transcended compliance-oriented approaches. While universities increasingly rely on mandatory modules that fail to create sustainable change, this research investigates whether self-nominated participation and co-design pedagogy can foster genuine transformation and voice development among participants from diverse disciplinary backgrounds. A qualitative multi-method design examined eight university students (aged 18–24) at an Australian university through pre-post focus groups, observational field notes, and artefact analysis. Participants voluntarily engaged in workshops co-designing peer-focused social media prevention messaging. Inductive thematic analysis identified patterns …

Combined Effect Of Porosity And Pore-Size Heterogeneity On Young’S Modulus Of Chemically Corroded Rocks, Hao Li, Zhenjiang You, Leo Pel, David Smeulders

Research outputs 2022 to 2026

Young’s modulus is a critical parameter for evaluating the stability of rock reservoirs, such as CO₂ geological storage. These reservoirs are exposed to chemically corrosions, which alter the pore structure, particularly porosity and pore size heterogeneity, thereby affecting Young’s modulus. This study conducted multiscale experiments to investigate how acid-driven chemical corrosion affects pore structure and its relationship with the Young’s modulus of rocks. Nuclear Magnetic Resonance (NMR) was used to characterize pore structure evolution, while corrosion mechanisms were examined via mass loss, XRD, pH monitoring, and ion chromatography. Based on the experimental results, a Kinetic Weibull Modulus (KWM) model was …

Decoupling Sustainability And Performance: How Government Infrastructure Projects In Australia Fare On Strategic Environmental Commitments, Richard Hughes, Kerry Brown

Research outputs 2022 to 2026

Australian government organisations are pivotal in helping to meet the United Nations sustainable development goals. Yet while these organisations promote sustainability in their strategic plans, they struggle to embed these same commitments into their own infrastructure and construction projects. This study examines this persistent disconnect using the lens of strategic decoupling, which explains how organisations symbolically align with external expectations while internal practices remain unchanged. Using a two-stage qualitative design, we conducted a positivist discourse analysis of strategic artefacts from six government organisations and a theoretically informed interpretivist analysis of 30 interviews with project professionals, framed by strong structuration theory. …

Inside Out: Improving Large Model Safety, Wei Zhao

Dissertations and Theses Collection (Open Access)

While Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) are at the frontier of current advancements in artificial intelligence, demonstrating remarkable capabilities across diverse applications, there are growing concerns about their reliability and security. LLMs remain vulnerable to adversarial attacks through carefully crafted prompts that circumvent safety mechanisms, while MLLMs face additional security challenges stemming from their multimodal nature. Despite considerable efforts in reinforcement learning from human feedback (RLHF) and supervised fine-tuning, existing safeguards have proven inadequate in addressing these critical vulnerabilities. This inadequacy stems from the fact that these models are inherently blackboxes that do not provide …