Digital Commons Network^™

Tackling Grand Societal Challenges: Understanding When And How Reverse Engineering Fosters Frugal Product Innovation In An Emerging Market, Samuel Adomako, Michael Asiedu Gyensare, Joseph Amankwah-Amoah, Pervaiz Akhtar, Nazim Hussain

Research outputs 2022 to 2026

Societies are confronted with grand challenges that require the efforts and coordination of diverse stakeholders. In this context, the role of for-profit organizations has become vital in addressing such challenges. Drawing on the strategy tripod perspective, this study investigated the influence of reverse engineering on frugal product-innovation performance (PIP) through the mediating effect of frugal innovation (i.e., cost innovation, and affordable value innovation). In addition, we examined the moderating impact of the industry environment (i.e., technological turbulence) and institutional context (i.e., legal inefficiency) on this relationship. We tested our hypotheses using time-lagged data from 243 small to medium-sized enterprises (SMEs) …

Guardians Of The Catheters, Interprofessional Collaboration Reduced Cauti Rates At Phfh, Dawn Doud, Angela Shemwell, Stephanie Brown, Tobi Bryan, Georgia Gauron, Tasha Anisimov, Peter Weitzman, Emma Peterson, Tiffanie Rampley

Articles, Abstracts, and Reports

Abstract Title: A Quality Improvement Project to Reduce CAUTIs on Inpatient Units

Objectives:

1. Participants will be able to understand how interprofessional collaboration contributed to CAUTI reduction on inpatient acute care units.
2. Participants will be able to understand education nurses completed to reduce CAUTI rates on inpatient acute care units.

Purpose/Aims:

To reduce CAUTI rates for adult inpatients admitted to the acute care units: Progressive Care Unit (PCU), Surgical/Orthopedics, Medical/Oncology, and the Intensive Care Unit (ICU).

Background

An increase in CAUTI rates for adults admitted to inpatient units was identified in January of 2024. The CAUTI rate at that time was …

Insights Into The Intrinsic Asymmetry Of Bluff-Body Stabilised Swirling And Non-Swirling Annular Flows, Syed E. Gillani, Yasir Al-Abdeli

Research outputs 2022 to 2026

Bluff-body stabilised annular jets possess simple, well-defined, axisymmetric geometry, yet exhibit highly complex flow fields, are susceptible to asymmetry at larger blockage ratios, and embody both complex zones and shear layers. Practical annular combustors feature swirl and a central jet which further complicates the flows. Despite the importance of asymmetry in practical combustor design, a systematic investigation for the role of flow regime (transitional, turbulent), Reynolds number, swirl number, or central jets on asymmetry remains lacking. In this study, two-dimensional time-averaged planar particle image velocimetry measurements are conducted to resolve the intrinsic asymmetry associated in transitional (Res = 2700) and …

Insights Into Phytonutrient Profile And Postharvest Quality Management Of Jackfruit: A Review, Jashanpreet Kaur, Zora Singh, Hafiz Muhammad Shoaib Shah, Muhammad Sohail Mazhar, Mahmood Ul Hasan, Andrew Woodward

Research outputs 2022 to 2026

Jackfruit (Artocarpus heterophyllus Lam.), also known as ‘vegetarian’s meat’, is an excellent source of carbohydrates, protein, fiber, vitamins, minerals, and several phytochemicals. It is a climacteric fruit that exhibits an increase in ethylene biosynthesis and respiration rate during fruit ripening. The market value of jackfruit is reduced due to the deterioration of fruit quality during storage and transportation. There is a lack of standardized harvest maturity index in jackfruit, where consequently, fruit harvested at immature or overmature stages result in poor quality ripe fruit with short storage life. Other factors responsible for its short postharvest life relate to its highly …

Sandstone Wettability And Mixed Gas Composition: Unraveling The Impact Of Co2 In Hydrogen Geo-Storage, Zoha D. Isfehani, Amirmansour J. Jafari, Jalal Fahimpour, Mirhasan Hosseini, Stefan Iglauer, Alireza Keshavarz

Research outputs 2022 to 2026

Underground hydrogen storage (UHS) is gaining interest as a secure, long-term solution for storing hydrogen in porous geological formations. In UHS, a cushion gas like CO2 is crucial to maintain the reservoir pressure and optimize recovery. The concept of wettability plays a fundamental role in determining the system's multi-phase displacement characteristics in the porous media. However, there is a gap in the existing literature regarding the wettability of sandstone rocks under geo-storage conditions when H2 and CO2 are injected as the bulk and cushion gases, respectively. To address this gap, we conducted a study investigating the wettability hysteresis phenomenon by …

Metagenomic Characterisation Of The Gut Microbiome And Effect Of Complementary Feeding On Bifidobacterium Spp. In Australian Infants, Kimberley Parkin, Debra J. Palmer, Valerie Verhasselt, Nelly Amenyogbe, Matthew N. Cooper, Claus T. Christophersen, Susan L. Prescott, Desiree Silva, David Martino

Research outputs 2022 to 2026

Complementary feeding induces dramatic ecological shifts in the infant gut microbiota toward more diverse compositions and functional metabolic capacities, with potential implications for immune and metabolic health. The aim of this study was to examine whether the age at which solid foods are introduced differentially affects the microbiota in predominantly breastfed infants compared with predominantly formula-fed infants. We performed whole-genome shotgun metagenomic sequencing of infant stool samples from a cohort of six-month-old Australian infants enrolled in a nested study within the ORIGINS Project longitudinal birth cohort. Infants born preterm or those who had been administered antibiotics since birth were excluded. …

Professionalism In Artificial Intelligence: The Link Between Technology And Ethics, Anton Klarin, Hossein Ali Abadi, Rifat Sharmelly

Research outputs 2022 to 2026

Ethical conduct of artificial intelligence (AI) is undoubtedly becoming an ever more pressing issue considering the inevitable integration of these technologies into our lives. The literature so far discussed the responsibility domains of AI; this study asks the question of how to instil ethicality into AI technologies. Through a three-step review of the AI ethics literature, we find that (i) the literature is weak in identifying solutions in ensuring ethical conduct of AI, (ii) the role of professional conduct is underexplored, and (iii) based on the values extracted from studies about AI ethical breaches, we thus propose a conceptual framework …

The Use Of Variable Coil Pitch Of Helical Tube On The Hydro-Thermal Performance Improvement, Shayan Pourhemmati, Hussein A. Mohammed, Abdellah Shafieian

Research outputs 2022 to 2026

The use of helical tubes in heat transfer appliances is desirable due to their better heat transfer characteristics, but the higher pressure drop decreases the overall performance. The variation of pitch design of a helical tube is proposed to alleviate this situation so that the pitch number does not remain constant in the total tube length. A total of six variable pitch numbers with three different diameters are proposed and investigated on the thermal and fluid characteristics. To better understand the helical tube efficiency, PEC (performance evaluation criteria) is selected as a performance indicator in the present work and simulations …

Pdf Malware Detection: Toward Machine Learning Modeling With Explainability Analysis, G. M.Sakhawat Hossain, Kaushik Deb, Helge Janicke, Iqbal H. Sarker

Research outputs 2022 to 2026

The Portable Document Format (PDF) is one of the most widely used file types, thus fraudsters insert harmful code into victims' PDF documents to compromise their equipment. Conventional solutions and identification techniques are often insufficient and may only partially prevent PDF malware because of their versatile character and excessive dependence on a certain typical feature set. The primary goal of this work is to detect PDF malware efficiently in order to alleviate the current difficulties. To accomplish the goal, we first develop a comprehensive dataset of 15958 PDF samples taking into account the non-malevolent, malicious, and evasive behaviors of the …

Empowering Pro-Environmental Potential Among Hotel Employees: Insights From Self-Determination Theory, Ataul K. Patwary, S. M. Rasoolimanesh, Mohd H. Hanafiah, Roslizawati C. Aziz, Ahmad E. Mohamed, Muhammad U. Ashraf, Nor R. A. N. Azam

Research outputs 2022 to 2026

Purpose: This research examines the role of green, inclusive leadership, corporate social responsibility, and pro-environmental attitudes on proactive pro-environmental behaviour among hotel employees. It further examines the indirect effects of pro-environmental attitudes between green inclusive leadership, corporate social responsibility, and proactive pro-environmental behaviour, as well as the moderating role of psychological contract breach between pro-environmental attitudes and proactive pro-environmental behaviour.

Design/methodology/approach: The participants of this cross-sectional study were employees in the Malaysian hotel industry, and 374 usable questionnaires were used for data analysis. The data were analysed using Partial Least Squares – Structural Equation Modelling.

Findings: This study found that …

Editorial - Contemporary Marine Science, Its Utility And Influence On Regulation And Government Policy, Piers Larcombe, Angus Morrison-Saunders, Peter V. Ridd

Research outputs 2022 to 2026

The purpose of this Research Topic is to evaluate the quality of contemporary marine science and to examine relationships between science, regulation and government policy in the marine environment. The quality of marine science matters; not just to advance knowledge on understanding marine ecosystems, but also to guide marine management. ...

Microbes Of Biotechnological Importance In Acidic Saline Lakes In The Yilgarn Craton, Western Australia, Katelyn Boase, Talitha Santini, Elizabeth Watkin

Research outputs 2022 to 2026

Acidic salt lakes are environments that harbor an array of biologically challenging conditions. Through 16S rRNA, 18S rRNA, and ITS amplicon sequencing of eight such lakes across the Yilgarn Craton of Western Australia, we aim to understand the microbial ecology of these lakes with a focus on iron- and sulfur-oxidizing and reducing microorganisms that have theoretical application in biomining industries. In spite of the biological challenges to life in these lakes, the microbial communities were highly diverse. Redundancy analysis of soil samples revealed sulfur, ammonium, organic carbon, and potassium were significant diversities of the microbial community composition. The most abundant …

Developing A Novel Ontology For Cybersecurity In Internet Of Medical Things-Enabled Remote Patient Monitoring, Kulsoom S. Bughio, David M. Cook, Syed A. A. Shah

Research outputs 2022 to 2026

IoT has seen remarkable growth, particularly in healthcare, leading to the rise of IoMT. IoMT integrates medical devices for real-time data analysis and transmission but faces challenges in data security and interoperability. This research identifies a significant gap in the existing literature regarding a comprehensive ontology for vulnerabilities in medical IoT devices. This paper proposes a fundamental domain ontology named MIoT (Medical Internet of Things) ontology, focusing on cybersecurity in IoMT (Internet of Medical Things), particularly in remote patient monitoring settings. This research will refer to similar-looking acronyms, IoMT and MIoT ontology. It is important to distinguish between the two. …

Parent Implementation Of A Treatment For Late Talkers Based On Cross-Situational Statistical Learning Principles: Treatment Fidelity And Acceptability, Suzanne J. Meldrum, Jennifer Fisk, Jennifer Stopher, Emily F. Hunt

Research outputs 2022 to 2026

Purpose:

Early intervention based on principles of cross-situational statistical learning (CSSL) for late-talking children has shown promise. This study explored whether parents could be trained to deliver this intervention protocol with fidelity and if they found the intervention to be acceptable.

Method:

Mothers of four English-speaking children aged 18–30 months who scored < 10th centile for expressive vocabulary were recruited to an 8-week group training program. Parents were taught principles of CSSL and asked to perform 16 home treatment sessions (30 minutes each) in total, providing auditory bombardment of target words in full sentences at high dose number and syntactic variability, using a range of physical exemplars. Home diaries and two videotaped sessions measured treatment fidelity. Pre- and post-treatment questionnaires measured acceptability. Result: One parent discontinued the study after the second group training session. Three parents completed 15/16 group training sessions and reported completing 87% of home sessions. Two parents demonstrated implementing the intervention as per the target dose number by the first fidelity session (Weeks 2/3), and the third parent was very close to meeting target dose number by the second fidelity session (Weeks 7/8).

Conclusion:

Parents can be trained to deliver an intervention based on cross-situational statistical learning principles.

Perceived Skill Outcomes Among Coursework And Research Graduates And Evolution Over Time, Denise Jackson, Ian Li

Research outputs 2022 to 2026

This study explores perceived skill outcomes among graduates of 39 Australian higher education institutions in the short- to medium-term after course completion. While acknowledging important dimensions of graduate employability beyond the skills-based approach, we investigated graduate perspectives on their industry-relevant skill outcomes from university, in preparation for employment. Using national data, we build on earlier research by examining the viewpoints of 24,044 research and coursework graduates, at all levels, at six months and three years post-graduation. We found that as graduates progressed in their careers, perceived skill outcomes from university became less favourable, particularly among coursework graduates. Further, we observed …

The Association Between Plasma Igg N-Glycosylation And Neonatal Hypoxic–Ischemic Encephalopathy: A Case-Control Study, Liangao Wang, Xinxia Lu, Meng Wang, Xuezhen Zhao, Peirui Li, Haitao Zhang, Qingtang Meng, Yujing Zhang, Yingjie Wang, Wei Wang, Long Ji, Haifeng Hou, Dong Li

Research outputs 2022 to 2026

Introduction: Hypoxic-ischemic encephalopathy (HIE) is one of severe neonatal brain injuries, resulting from inflammation and the immune response after perinatal hypoxia and ischemia. IgG N-glycosylation plays a crucial role in various inflammatory diseases through mediating the balance between anti-inflammatory and pro-inflammatory responses. This study aimed to explore the effect of IgG N-glycosylation on the development of HIE. Methods: This case-control study included 53 HIE patients and 57 control neonates. An ultrahigh-performance liquid chromatography (UPLC) method was used to determine the features of the plasma IgG N-glycans, by which 24 initial glycan peaks (GPs) were quantified. Multivariate logistic regression was used …

The Development And Validation Of A Self-Audit Survey Instrument That Evaluates Preservice Teachers’ Confidence To Use Technologies To Support Student Learning, Michael D. Carey, David A. Martin, Natalie Mcmaster

Research outputs 2022 to 2026

Internationally, university teacher educators are responding to the requirement that preservice teachers (PSTs) need to be confident, operational users of a broad range of technologies, and that they can apply their technological pedagogical and content knowledge (TPACK). TPACK is a framework representing the complex interactions of teachers’ technological content knowledge and technological pedagogical knowledge with their pedagogical content knowledge; the interaction of the three domains is believed to produce effective teaching with technology. The challenge is designing an instrument that can validly and reliably evaluate whether PSTs have this wide range of knowledge, and if not, what their learning needs …

A Bi-Functional Air Electrode Developed From A Dual-Mof Strategy For High-Performance Zinc-Air Batteries, Yasir Arafat, Muhammad Rizwan Azhar, Yijun Zhong, Xiaomin Xu, Moses O. Tadé, Zongping Shao

Research outputs 2022 to 2026

A durable, high-performing and cost-effective bi-functional catalyst toward oxygen reduction/evolution reactions (ORR/OER) is the key towards the practical application of Zn-air batteries (ZABs). Here, we report a new concept of combining pristine and carbonized MOFs for developing a bifunctional electrocatalyst for ZABs, where the pristine MOF acts as a support for the OER catalysts and the carbonized MOF acts as the ORR catalyst and enhances the electronic conductivity. By electroless NiP-plating over the surface of the Fe-containing 3D MOF (MIL-100), the catalyst shows superior activity for the OER, delivering a current density of 10 mA cm⁻² at an overpotential …

Cyberbullying Text Identification: A Deep Learning And Transformer-Based Language Modeling Approach, Khalid Saifullah, Muhammad Ibrahim Khan, Suhaima Jamal, Iqbal H. Sarker

Research outputs 2022 to 2026

In the contemporary digital age, social media platforms like Facebook, Twitter, and YouTube serve as vital channels for individuals to express ideas and connect with others. Despite fostering increased connectivity, these platforms have inadvertently given rise to negative behaviors, particularly cyberbullying. While extensive research has been conducted on high-resource languages such as English, there is a notable scarcity of resources for low-resource languages like Bengali, Arabic, Tamil, etc., particularly in terms of language modeling. This study addresses this gap by developing a cyberbullying text identification system called BullyFilterNeT tailored for social media texts, considering Bengali as a test case. The …

Self-Efficacy Changes And Gender Effects On Self-Efficacy In A Large-Scale Robotic Telescope Focused Curriculum, Rachel Freed, David Mckinnon, Saeed Salimpour, Michael Fitzgerald, Dan Reichart, Christina Norris

Research outputs 2022 to 2026

In this paper, we present the results of an investigation into the effects of engaging with robotic telescopes during an Astronomy 101 (Astro101) course in the United States and Canada on the self-efficacy of students. Using an astronomy self-efficacy survey that measures both astronomy personal self-efficacy and instrumental self-efficacy, the authors probed their covariance with the respondents' experience of an Astro101 course that uses robotic telescopes to collect astronomical data. Strong effects on both self-efficacy scales were seen over the period of a semester utilizing a scalable educational design using robotic telescopes. After participation in the course, the results show …

Towards Blockchain-Based Secure Bgp Routing, Challenges And Future Research Directions, Qiong Yang, Li Ma, Shanshan Tu, Sami Ullah, Muhammad Waqas, Hisham Alasmary

Research outputs 2022 to 2026

Border Gateway Protocol (BGP) is a standard inter-domain routing protocol for the Internet that conveys network layer reachability information and establishes routes to different destinations. The BGP protocol exhibits security design defects, such as an unconditional trust mechanism and the default acceptance of BGP route announcements from peers by BGP neighboring nodes, easily triggering prefix hijacking, path forgery, route leakage, and other BGP security threats. Meanwhile, the traditional BGP security mechanism, relying on a public key infrastructure, faces issues like a single point of failure and a single point of trust. The decentralization, anti-tampering, and traceability advantages of blockchain offer …

Grain Boundary Engineering: An Emerging Pathway Toward Efficient Electrocatalysis, Xiaomin Xu, Yijun Zhong, Magdalena Wajrak, Tejas Bhatelia, San Ping Jiang, Zongping Shao

Research outputs 2022 to 2026

Electrochemical transformation processes involving carbon, hydrogen, oxygen, nitrogen, and small-molecule chemistries represent a promising means to store renewable energy sources in the form of chemical energy. However, their widespread deployment is hindered by a lack of efficient, selective, durable, and affordable electrocatalysts. Recently, grain boundary (GB) engineering as one category of defect engineering, has emerged as a viable and powerful pathway to achieve improved electrocatalytic performances. This review presents a timely and comprehensive overview of recent advances in GB engineering for efficient electrocatalysis. The beneficial effects of introducing GBs into electrocatalysts are discussed, followed by an overview of the synthesis …

Green Synthesis Of Nanomaterials For Smart Biopolymer Packaging: Challenges And Outlooks, Shima Jafarzadeh, Majid Nooshkam, Masoumeh Zargar, Farhad Garavand, Sabyasachi Ghosh, Milad Hadidi, Mehrdad Forough

Research outputs 2022 to 2026

There are several physical and chemical methods for synthesizing nanomaterials, while the most appropriate techniques involve using green chemistry and eco-friendly material. Recently, green synthesized materials for different applications have gained attention as a result of their environmental friendliness and cost-effectiveness. Applying green synthesized nanoparticles (NPS) in food packaging has been extensively investigated. Biopolymers require filler to enhance the optical, barrier, thermal, antimicrobial, and mechanical properties of packaging. Biopolymer packaging incorporated with green synthesized NPs is expected to simultaneously enhance performance while reducing environmental damage. The current review article focuses on biopolymer films with bio (green)-synthesized nanomaterials and their effectiveness …

Matthew Gaber: Peekaboo, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research Datasets

Cyber-attacks continue to evolve, increasing in frequency and sophistication where Artificial Intelligence (AI) is becoming essential in detecting modern malware. However, the accuracy of AI in malware detection is dependent on the quality of the features it is trained with. Static and dynamic analysis of malware is limited by the widespread use of obfuscation and anti-analysis techniques employed by malware authors, where if an analysis environment is detected the malware will hide its malicious behavior. However, Dynamic Binary Instrumentation (DBI) allows deep and precise control of the malware sample, thereby facilitating the extraction of authentic features from sophisticated and evasive …

The Hydrodynamics Of Double-Layered Vegetation Partially Occupying Both Banks In An Open Channel Flow, Maheshwara Ihala Gallangage Gedara

Research Datasets

This data delves into the hydrodynamic intricacies within an open channel featuring continuous double-layered vegetation along both banks. Measurements are undertaken using nonintrusive laser diagnostics (LDV) to assess velocity, shear stress, and turbulence intensity. Two double-layered vegetation configurations, uniform growth (A1) and mixed growth (A2), were examined in conjunction with four aspect ratios (AR-6.67, 5.00, 4.00, and 2.63). The raw data were acquired using "BSA Flow Software v5.00", provided by DANTEC DYNAMICS, Denmark, and the extracted data used for the analysis was included in the Excel sheets for the purpose of sharing.

Marine Heatwaves And Impacts On Marine Ecosystems, Anna Lafratta, Hollie Williams, Stanley Mastrantonis, Sharyn Hickey, Kathryn Mcmahon, Arani Chandrapavan, Andi Laidlaw, Emily Lester

Research Datasets

The metadata is a compilation of existing long-term datasets available across Western Australia coastline. This was prepared as an initial step in identifying what is known about the Western Australia marine ecosystem and to explore the responses to marine heatwaves and for future planning. For each dataset a series of information are provided, including Institute that collected the data and contact details, period and frequency of data collection, Department of Primary Industries and Regional Development (DPIRD) bioregion, habitat and species studies, variables analysed and methods of data collection. Seventeen organizations contributed to these metadata records. The details of these datasets …

Gender Difference On Internal Equity: Evidence From The Hospitality Industry In Ghana, Patricia Peprah

Faculty Publications

It is a hypothetical position that employees in the hospitality industry in Ghana experience salary disparities based on the gender of the employee. Pay disparities exist because of unconscious biases in areas such as hiring, promotions, performance reviews, and salary decisions. In ensuring equal pay for equal work to fulfill the International Labor Organization (ILO) convention, this study investigated the internal equity pay of the employees in Ghana's hospitality industry based on equal work. This quantitative association study adopted a self-constructed research instrument to measure internal equity pay and randomly selected 350 respondents in the hospitality industry in Ghana to …

Measuring The Effectiveness Of Ai Tools In Clinical Research And Writing: A Case Study In Healthcare, Sani Salisu, Osamah Mohammed Alyasiri, Hussain A. Younis, Thaeer Mueen Sahib, Ahmed Hussein Ali, Ameen A. Noor, Israa M. Hayder

Mesopotamian Journal of Artificial Intelligence in Healthcare

This article investigates the capabilities and limitations of ChatGPT, a natural language processing (NLP) tool, and large language models (LLMs), developed from advanced artificial intelligence (AI). Designed to help computers understand and produce text understandable by humans, ChatGPT is particularly aimed at general scientific writing and healthcare research applications. Our methodology involved searching the Scopus database for ’type 2 diabetes’ and ’T2 diabetes’ articles from reputable journals. After eliminating duplicates, we used ChatGPT to formulate conclusions for each selected article by inputting their structured abstracts, excluding the original conclusions. Additionally, we tested ChatGPT’s response to simple misuse scenarios. Our findings …

Machine Learning Helps In Quickly Diagnosis Cases Of "New Corona", Maad M. Mijwil, Ioannis Adamopoulos, Pramila Pudasaini

Mesopotamian Journal of Artificial Intelligence in Healthcare

Machine learning is considered one of the most significant techniques that play a vital role in diagnosing the Coronavirus. It is a set of advanced algorithms capable of analysing medical data and identifying patterns and behaviours of diseases. It is used to interpret medical images, giving details of each image with high accuracy and efficiency, such as chest X-ray images. These algorithms are trained on a large set of images to recognise patterns that indicate the presence of infection with the Coronavirus (COVID-19). This article will provide a brief overview of the importance of machine learning in diagnosing COVID-19 by …

Evaluating If Ghana's Health Institutions And Facilities Act 2011 (Act 829) Sufficiently Addresses Medical Negligence Risks From Integration Of Artificial Intelligence Systems, George Benneh Mensah, Pushan Kumar Dutta

Mesopotamian Journal of Artificial Intelligence in Healthcare

With artificial intelligence (AI) integrated increasingly to enhance personalized diagnosis and data-driven treatment recommendations, this analysis examines the legal sufficiency of Ghana’s Health Institutions and Facilities Act 2011 (Act 829) to address medical negligence risks from reliance on AI systems in clinical settings. The CREAC framework structures evaluating gaps where existing health regulations may lack clarity for emerging issues of accountability. Explanation contextualizes the probabilistic nature of AI inferences and how general principles of medical negligence could have ambiguous application currently if erroneous AI contributions result in patient harm. Application to a hypothetical scenario assesses if adequate protections for appropriate …