Digital Commons Network^™

Collaborative Problem-Solving (Cps) In Supporting Critical Thinking Skills: A Case Study On Quadratic Function Material, Buaddin Hasan, Arif Hidayatul Khusna

Australian Journal of Teacher Education

Theoretically, CPS can support students' critical thinking skills. However, more in-depth research is needed on how CPS can support students' critical thinking skills. This research aims to describe CPS in supporting students' critical thinking skills. Participants in this research were 24 10th-grade students consisting of 14 female students and ten male students. The 24 participants were then formed into 12 groups, with one group of two students. Data was collected by asking groups to solve a quadratic function problem. The research results show that CPS can support students' critical thinking skills because it provides opportunities for students to negotiate with …

Real-Time Defect Detection In Ceramic Additive Manufacturing Using Deep Convolutional Neural Networks, Dylan Doan, Amir Armani, Marcia Golmohamadi

Faculty Research, Scholarly, and Creative Activity

Although ceramic additive manufacturing technologies have greatly advanced over the past decade, they are still far from perfect. Even small printing defects can have a severe impact on the mechanical properties of additively manufactured ceramic parts due to their low fracture toughness. The objective of this study was to detect these defects during the printing process for a new ceramic additive manufacturing technique, called ceramic on-demand extrusion (CODE). Images were collected, pre-processed, augmented, and separated based on their distinctive classes (i.e., type of defects). Deep convolutional neural networks were developed to identify multiple types of defects in real-time.

Generation Of Impact Factor-Driven Security Rating Questionnaire Using Llms For Aiot Applications, Yuna Han, Simon Shim, Deva Kumar Gajulamandyam, Yeji Choi, Hyunwoo Lee, Hangbae Chang

Faculty Research, Scholarly, and Creative Activity

Industry 4.0 has transformed industries by accelerating the adoption of artificial intelligence of things (AIoT); however, it has also led to security risks, such as data leakage. Existing data protection research focuses on network layers, whereas application-layer rating systems rely on subjective evaluations, limiting consistency and applicability. This study proposes a scalable and objective AIoT security rating framework that clarifies ambiguities in the five-question rating system of the Korean Intellectual Property Office and unifies fragmented managerial and technical rating systems. By leveraging large language models (LLMs), the framework integrates a security rating model based on 14 impact factors with automated …

Aerocom: Winter 2026, John D. Odegard School Of Aerospace Sciences

Aerocom: John D. Odegard School of Aerospace Sciences Alumni Magazine

No abstract provided.

"Just Let Your Soul Glo": Humorous Music In Black American Comedy Films, Drew Brady

Music Theses and Dissertations

In this thesis, I inspect ways in which music has been used to create humor and meaning in black American cinema. In doing so, I address gaps in film music scholarship, as music in comedy films and in black cinema are both neglected topics. I suggest that humor in these films arises out of a particular blend of musical irony, parody, and satire, the exact combination of which is contingent on various historical, cultural, and political factors. In order to track this trend, I analyze humorous music in eight films, each representing a unique manifestation of this tradition: Watermelon Man …

How Is The Use Of Ai Impacting Nursing Students Education?, Lorna H. Strain

Honors College Theses

The use of Artificial Intelligence (AI) in education is rapidly increasing and reshaping how nursing students learn and engage with content. This thesis proposal looks at the impact of AI on the education of nursing students and explores students' perceptions of its use in their learning and education. As AI becomes more prevalent, many students are using it for study aids and content personalization, while schools are using it in simulations and textbook platforms. Many recognize its benefits, such as enhanced critical thinking, improved accessibility of materials, and more immersive learning. Concerns persist around ethical use, academic integrity, and the …

Rydberg Atom Arrays For Electric Field Sensing, James P. Hamilton

Honors College Theses

Rydberg atoms, hydrogen-like atoms that can be excited to states of high principal quantum number that carry correspondingly large electric dipole moments, have become leading candidates for precision electric field sensing. Arrays of such atoms, each trapped in a focused laser beam called an “optical tweezer,” are a particularly promising platform, since the strong dipole-dipole interactions between neighboring atoms provide a resource unavailable in a single-atom sensor. This thesis develops a theoretical and numerical framework for electric field measurement in small Rydberg atom arrays. We begin with a two-level model of a single atom, derive the Hamiltonian and equations of …

A Deal's A Deal: The Obvious Problem In Patent Law, Robin C. Feldman, Gideon Schor

Faculty Scholarship

Critics and industry alike agree that something is amiss in the market for medicines: Drug prices continue to rise, while various players point fingers, attributing the problem to different systemic inefficiencies. At the heart of this problem, however, lies the patent system, which provides the power that drives many of the strategic behaviors discussed in the literature.

A Deal’s a Deal suggests that a key element of patent law — obviousness doctrine — has been overlooked in the search for causes and solutions of the many distortions in pharmaceutical markets. This uniquely comprehensive Article examines obviousness doctrine from numerous angles: …

Exclusion By Design: Immigrant Racialization And Temporary Legal Status, Ming H. Chen, Jennifer M. Chacón, Shannon M. Gleeson

Faculty Scholarship

Migrant workers enter the United States on temporary visas more often than on green cards that lead to U.S. citizenship, and the majority come from countries whose emigrants would be classified as non-White in the United States. Even so, immigration scholarship gives short shrift to temporary statuses and often treats them as race neutral. This Article contributes to the growing body of critical migration studies by demonstrating how immigration law assigns meaning to the legal status of temporary migrants. We find that temporary legal statuses are designed in ways that unnecessarily foster social exclusion through a process of racialization and …

Common Census Methods Can Lead To Fundamentally Different Ecological Interpretations Of Coral Reef Fish Communities, Helen F. Yan, Samantha K. Crisp, David R. Bellwood, Alexandre C. Siqueira, Sterling B. Tebbett

Research outputs 2022 to 2026

In an era of large-scale stressors, scientists are racing to collate equally large datasets to answer macroecological questions. Coral reefs lie at the forefront of system-wide transformations and are thus the focus of many macroecological studies. A lack of standardised, global data across time, however, has resulted in the coalition of data from disparate sources, often comprising different survey methods. However, can we make the same ecological inferences from data collected using different survey protocols? Here, we employed two of the most common reef fish census techniques—point counts and belt transects—of varying survey effort (time and area) to assess whether …

Playworld Translanguaging: A Place-Based Approach For Translanguaging Play Pedagogy In Early Childhood, Christine Robinson, Carly Steele, Toni Dobinson, Grace Oakley, Samina Manado, Katie Grace, Graeme Gower

Research outputs 2022 to 2026

Conceptualised from a vision to honour children’s languages, agency and cultural ways of knowing, this research presents findings from a place-based translanguaging play pedagogy for early childhood called Playworld Translanguaging. In the remote Kimberley of Western Australia, researchers collaborated with educators in a Kindergarten/Primary/Yr 1 class of mostly Aboriginal children who have Bardi Jawi as their ancestral language, co-designing ways to revitalise this language through play pedagogy in ways intimately connected to place. Our Playworld Translanguaging approach reimagined Conceptual PlayWorlds (Fleer, 2018) with the intention of integrating pedagogical translanguaging. Following Indigenist research principles, critical participatory action research (CPAR) was the …

Serum Igg N-Glycosylation Profiles Distinguish Primary Sjögren’S Disease, Rheumatoid Arthritis, And Systemic Lupus Erythematosus And Are Associated With Disease Activity In Sjögren’S Disease, Zhixian Chen, Xiaojia Xu, Manshu Song, Fengcai Shen, Haifeng Hou, Wei Wang, Ling Lin

Research outputs 2022 to 2026

Background: IgG N-glycosylation regulates immune effector functions and inflammation, but disease-specific patterns in primary Sjögren’s disease (SjD), rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE) are insufficiently defined, particularly in SjD.

Objectives: To identify serum IgG N-glycan biomarkers that differentiate SjD, RA, and SLE and reflect disease activity in SjD.

Design: A clinical case-control study.

Methods: Serum IgG N-glycans from 88 SjD patients, 102 RA patients, 86 SLE patients and 91 healthy controls were profiled using ultra-performance liquid chromatography. Discriminative glycans were selected through machine learning-based feature selection and evaluated for their diagnostic performance using cross-validated logistic regression and receiver …

Targeting Of The Oncogenic Fusion Ewsr1-Fli1 In Ewing Sarcoma By Crispr/Dcas9 Silencers, Shahama Taifour, Chee Wai Wong, Christopher Wallis, Edina Wang, Ash W.J. Tie, Eleanor Woodward, Charlene Waryah, Mahnaz Hosseinpour, Dilys Lam, Ryan Lister, Larissa Dymond, Andrew Woo, Peter J. Houghton, K. Swaminathan Iyer, Marck Norret, Cameron W. Evans, Louise Winteringham, Silvana Gaudieri, Pilar Blancafort

Research outputs 2022 to 2026

Despite the revolutionary impact of genome engineering tools in medicine, the safe and effective intracellular delivery of CRISPR remains a major obstacle to clinical applications. Here, we utilize precision molecular targeting and delivery strategies based on CRISPR-nuclease-dead Cas9 (dCas9) systems adapted for epigenetic repression (dCas9-Krüppel-associated box [KRAB]) to silence oncogenic drivers with high selectivity. As proof of principle, we target the EWSR1-FLI1 translocation, which encodes a chimeric and hard-to-drug oncogenic transcription factor driving approximately 85% of the cases of Ewing sarcoma (EWS)—an aggressive childhood malignancy. We describe the development of a programmable, non-viral polymeric system for the delivery of dCas9-KRAB …

Performance Investigation Of Microchannel Heat Sink With Biomimetic Trefoil Cavities On Different Walls, Sadiq Ali, Numan Habib, Faraz Ahmad, Aamer Sharif, Ana Vafadar

Research outputs 2022 to 2026

The modern world is shifting towards digitalization and miniaturization, leading to higher flux densities in electronic components and machines. However, conventional cooling methods, such as air-cooled smooth channels, are proving inadequate for removing the huge amounts of heat generated, thereby compromising the reliability and operational lifespan of electronic systems. This necessitates urgently exploring and analyzing modern techniques like microchannel cooling to improve its efficiency. This work uses ANSYS to conduct numerical simulations and investigates the heat transfer and flow behavior in a microchannel heat sink. The smooth channel is used to investigate and validate the flow behavior with the available …

Antecedents Of Employee Service Innovation Behaviour Through The Resource-Based View, Ataul Karim Patwary, Md Sazzad Hossain, S. Mostafa Rasoolimanesh, T. Ramayah

Research outputs 2022 to 2026

This study applies the Resource-Based View (RBV) to explore how strategic, tactical, and internal green marketing orientations foster employee service innovation behaviour in the hospitality sector. It examines green trust and responsibility feelings as key internal resources and investigates their mediating roles. Using PLS-SEM analysis on 778 responses from Malaysian hotel employees, the findings indicate that internal green marketing orientation significantly enhances green trust and responsibility feelings, which, in turn, positively influence employee service innovation behaviour. By integrating psychological constructs into RBV, this research offers new insights into the role of green marketing in driving organizational sustainability. However, the study …

Covert Transmission For Active Ris-Aided Full-Duplex Uav Integrated Sensing, Communication, And Computation Systems, Qi Zhang, Wei Gao, Chuan Liu, Yu Yao, Shihao Yan, Feng Shu, Shi Jin

Research outputs 2022 to 2026

Next-generation wireless network should accomplish integrated sensing, communication, and computation (ISCC) capabilities. This paper proposes a novel covert transmission scheme based on active reconfigurable intelligent surface (RIS)-enabled full-duplex (FD) unmanned aerial vehicle (UAV)-ISCC framework, where the multi-functional UAV realizes simultaneous target sensing and uplink (UL) covert communication, as well as performing edge computing (EC) for users. To maximize the minimum covert transmission rate (CTR) among all UL users, UAV transmit beamforming and trajectory, RIS weights, power allocation and signal processing in a FD UL transmission system are jointly devised. To tackle the intractable non-convex problem, we leverage second order cone …

Design Of Artificial Interference Signal Waveforms For Covert Communication Aided By Multiple Friendly Nodes, Xuyang Zhao, Wei Guo, Yongchao Wang, Shihao Yan

Research outputs 2022 to 2026

In this work, we consider a covert communication scenario with multiple friendly interference nodes. The goal is to hide a legitimate communication link from a transmitter to a receiver under a warden’s surveillance. Firstly, we propose a novel strategy for generating artificial noise (AN) signals and formulate a corresponding design problem, aiming to minimize the adverse effects of AN on the legitimate receiver while enhancing communication covertness. Specifically, we optimize the basis matrix for AN signal space using statistical information of the involved channel coefficients, when precise channel state information are unavailable. Secondly, we analyze the geometric structure of the …

Artificial Intelligence Agents And Agentic Systems In Hospitality And Tourism: Challenges, Opportunities And Research Agenda, Yogesh K. Dwivedi, Mohamed Youssef Ibrahim Helal, Ibrahim A. Elgendy, Mousa Ahmed Albashrawi, Laurie Hughes, Mazen Shawosh, Vincent Dutot, Il Jeon

Research outputs 2022 to 2026

Purpose: Artificial intelligence (AI) agents and agentic systems have the potential to transform the tourism and hospitality (T&H) industry by automating existing processes and improving operational efficiency. This viewpoint paper aims to explore and analyze the potential opportunities and challenges, and establish a comprehensive research agenda for developing AI agents and agentic systems within the T&H industry. Design/methodology/approach: This article comprehensively analyzes current literature, user sentiment analysis and market trends assessment on AI agents and agentic systems. It identifies critical areas where these technologies can transform the T&H industries, providing valuable insights into this emerging field and its potential for …

Generative Artificial Intelligence (Genai) In Procurement And Supply Chain Management: Applications, Opportunities And Challenges, Vinay Singh, Laurie Hughes, Mousa Ahmed Albashrawi, Il Jeon, Yogesh K. Dwivedi

Research outputs 2022 to 2026

Purpose: This article aims to explore the transformative potential of generative artificial intelligence (GenAI) in procurement and supply chain management (SCM), with a focus on its practical applications, strategic implications and integration challenges. Design/methodology/approach: Adopting a conceptual approach, this article presents the authors’ views and arguments, supported by a review of existing literature and informed by insights from discussions with industry experts. The discussion in this conceptual article is anchored in the supply chain operations reference model. Findings: This research addresses critical questions regarding the practical and strategic impacts of GenAI, emphasizing its ability to simulate scenarios, deliver real-time insights …

Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar

Research outputs 2022 to 2026

The growing presence of microplastics (MPs) and nanoplastics (NPs) in water systems poses a serious threat to conventional treatment processes, particularly membrane filtration. This study focuses on a surface modification strategy for commercial ultrafiltration (UF) membranes via plasma-induced grafting of mono-2-(methacryloyloxy) ethyl succinate (MMES) to enhance resistance against MP/NPs fouling. The membranes were characterised using advanced analytical techniques, including high-resolution scanning electron microscopy (HRSEM), X-ray photoelectron spectroscopy (XPS), and atomic force microscopy (AFM), confirming successful grafting, increased hydrophilicity, and a more negative surface charge. At optimal conditions of grafting (2 min pretreatment, 0.5 M monomer concentration, and 3 h grafting …

Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer

Research outputs 2022 to 2026

Underwater Acoustic Networks (UANs) are critical for enabling long-range underwater communication, supporting a wide range of applications, such as environmental monitoring, resource exploration, disaster prevention and marine security. Unfortunately, UANs operate within a limited acoustic spectrum, where these spectrums often overlap with those used by marine animals for communication, navigation and foraging. Additionally, anthropogenic noise from industrial activities contributes to acoustic pollution, intensifying this problem. This frequency overlap poses significant risks to marine life. Therefore, this review highlights the urgent need to develop environmentally aware UANs that minimize harmful acoustic interference with marine mammals, fish and invertebrates. Further, it focuses …

Sensing-Then-Beamforming: Robust Transmission Design For Ris-Empowered Integrated Sensing And Covert Communication, Xingyu Zhao, Min Li, Ming Min Zhao, Shihao Yan, Min Jian Zhao

Research outputs 2022 to 2026

Traditional covert communication often relies on the knowledge of the warden's channel state information, which is inherently challenging to obtain due to the non-cooperative nature and potential mobility of the warden. The integration of sensing and communication technology provides a promising solution by enabling the legitimate transmitter to sense and track the warden, thereby enhancing transmission covertness. In this paper, we develop a framework for sensing-then-beamforming in reconfigurable intelligent surface (RIS)-empowered integrated sensing and covert communication (ISACC) systems, where the transmitter (Alice) estimates and tracks the mobile aerial warden's channel using sensing echo signals while simultaneously sending covert information to …

A Novel Deep Transfer Learning-Based Adaptive Cascade Pi Controller Enhanced By Reinforcement Learning Algorithm And Snake Optimization For Robust Speed Regulation Of Brushless Dc Motors, Seyyed Morteza Ghamari, Asma Aziz

Research outputs 2022 to 2026

Brushless DC (BLDC) are common in electric cars, industrial automation, and robotics because of their high efficiency, high torque control, and compact size. Nevertheless, strong speed and current regulation is not easily attained because of system variation, load variations and the shortcomings of traditional fixed-gain proportional-integral (PI) controllers. In this paper, a new snake optimization-assisted deep transfer learning-based reinforcement learning (SOA-DTL-RL)-based adaptive cascade PI controller is proposed that combines transfer learning with fast adaptation, Reinforcement learning with real-time optimization, and snake optimization with optimal initial gain selection to guarantee the robust speed and current regulation in BLDC motors. The proposed …

Bitcoin Halving: How Effective Is It In Driving Cryptocurrency Market Dynamics?, Nyoman Sri Subawa, Caren Angellina Mimaki, I. Made Oka Mahendra, Made Srinitha Millinia Utami

Research outputs 2022 to 2026

Bitcoin halving is a quadrennial event that halves mining rewards and is believed to influence cryptocurrency prices and cryptocurrency market dynamics. This study examines the effect of Bitcoin halving on Cryptocurrency Prices, with Government Regulations, Market Sentiment, and Cryptocurrency Performance as mediating variables. A quantitative research approach was employed, gathering original data via survey instruments from 294 participants within the cryptocurrency community in Bali, which were analyzed using PLS-SEM. The findings indicate that Bitcoin halving exerts a favorable and statistically meaningful influence on Government Regulations, Market Sentiment, Cryptocurrency Performance, and Cryptocurrency Prices. Market Sentiment fully mediates the influence of Government …

Effect Of Caffeine Ingestion On Cycling Performance: A Systematic Review And Meta-Analysis, Jinyan Wu, Kai Xu, Mingyue Yin, Xianming Ding, Tong Wang, Qiubo Zhang, Xiaowei Wu, Ningkun Xiao

Research outputs 2022 to 2026

This study aimed to determine the effects of acute caffeine ingestion on cycling performance through a systematic review and meta-analysis, while also exploring the moderating roles of caffeine dosage, training status, and athlete age. A comprehensive search was conducted across five databases, yielding 20 eligible studies with a total of 226 participants. A three-level mixed-effects model was applied to pool main effects on cycling time trial performance, mean power output, mean heart rate, and ratings of perceived exertion (RPE). Subgroup analyses and meta-regression were performed to examine potential moderators. Caffeine intake significantly reduced cycling completion time (SMD = −0.36, 95% …

Experimental Investigation And Performance Optimization Of A Double Slope Solar Still Integrated With Nanoparticles In Phase Change Materials, Pronob Das, Md Shahriar Mohtasim, Utpol K. Paul, Md Sanowar Hossain, Barun K. Das, Anik Saha, Md Golam Kibria

Research outputs 2022 to 2026

By utilizing solar energy for desalination, solar stills offer a sustainable and cost-effective means of providing fresh drinking water in remote and arid regions. Existing studies have primarily focused on improving freshwater productivity while considering economic and environmental feasibility. The present work offers an in-depth assessment of solar still (SS) systems by analyzing energy and exergy performance, exergoeconomic factors (energy-economic factor, exergoeconomic factor, and cost of water), environmental impacts (CO2 emissions, exergo-environmental factor, and carbon credit gained), and sustainability indicators (energy payback time and sustainability index). Five different cases were examined: (I) a conventional solar still (CSS), (II) CSS with …

Navigating The Deep Features Of Change: A Dynamic Approach For Skill Development In The Construction Industry, Keyao Li, Mark A. Griffin, Heap Yih Chong

Research outputs 2022 to 2026

Purpose: Digitalisation promises new levels of productivity and efficiency in construction but requires a well-equipped, skilled workforce to meet future demands. Beyond attracting skilled workers, the industry must understand future skill requirements. This study addresses this need by developing a skill framework that defines key skill levels and patterns in response to evolving demands. Design/methodology/approach: A mixed-methods approach with three consecutive analyses was adopted. First, a theoretical analysis developed a conceptual framework based on work and role performance theories. Second, a scoping review and descriptive analyses provided quantitative insights into the skills covered in current literature. Finally, identified skill groups …

Corporate Social Responsibility In Iranian Knowledge-Based Companies: Exploring Barriers And Solutions, Mansoureh Mahdizadeh, Mehran Nejati

Research outputs 2022 to 2026

Purpose: This study aims to understand the barriers to corporate social responsibility (CSR) in Iranian knowledge-based companies and explore possible solutions to address them. Design/methodology/approach: This study used a qualitative research design, comprising semistructured in-depth interviews with key informants. Findings: Study findings show that the most important barriers to CSR in Iranian knowledge-based companies include insufficient financial resources, lack of competition between companies, lack of CSR importance, lack of people’s shareholding of most companies, lack of structure, lack of awareness, knowledge and information on CSR, lack of institutionalization of CSR concept in organizational culture, lack of management commitment, lack of …

Praxis: The Missing Theory To Practice Link In Maximising Early Childhood Science Opportunities, Pauline Roberts, Patricia R. Collins

Research outputs 2022 to 2026

Science teaching in early years contexts has been identified as deficient due to poor educator confidence, lack of content knowledge, or minimal opportunities being made available for science experiences. To identify strategies to counteract these factors, this study explored how these deficiencies are enacted in learning contexts by examining the beliefs and practices of educators across three early learning sites. The focus of this study was threefold: to gather the perception of educators in relation to early childhood science; explore the learning environments; and observe the interactions facilitated by the educators to develop scientific knowledge and skills for young children. …

Sparse Gradient Training For Recommender Systems, Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin

Research outputs 2022 to 2026

Recommender systems are widely applied in numerous online platforms such as shopping and social media platforms. They typically utilize large embedding tables that map users and items to dense vectors of uniform sizes. As the number of users and items continues to grow, this design leads to significant memory consumption and computational inefficiencies. This challenge is particularly pronounced in scenarios such as federated learning, where model parameters are updated locally on edge devices with limited computational resources before being transmitted to a central server for aggregation. Numerous approaches have been proposed to address this issue, among which embedding pruning methods …