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2026

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Articles 29011 - 29040 of 29092

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A Collaborative Communities-Of-Practice Methodology For Environmental Design Research: A Case Study Application In Palliative Care, Emil E. Jonescu, Benjamin Farrell, Chamil Erik Ramanayaka, Lori Delaney, Edward Litton, Talia J. Uylaki, Gareth Watts, Bella Brigham, Frances Bellemore, Davinia Seah Jan 2026

A Collaborative Communities-Of-Practice Methodology For Environmental Design Research: A Case Study Application In Palliative Care, Emil E. Jonescu, Benjamin Farrell, Chamil Erik Ramanayaka, Lori Delaney, Edward Litton, Talia J. Uylaki, Gareth Watts, Bella Brigham, Frances Bellemore, Davinia Seah

Research outputs 2022 to 2026

Environmental design in palliative care settings receives increasing attention, yet methodologies for studying such environments often lack interdisciplinary integration. Traditional research designs may overlook the lived expertise of clinicians and designers. Objectives: This article describes a collaborative, cross-disciplinary communities-of-practice model developed as a methodological framework to enable effective environmental evaluation and design processes in healthcare settings. Its application is illustrated through a case study in a palliative care unit. Methods: A co-designed, multi-methods approach was developed by a team of clinicians, facility managers, and academic researchers. The methodology included a scoping review, site-specific environmental data logging (sound, temperature, lighting), and …

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Deep Reinforcement Learning–Driven Multi-Omics Integration For Constructing Gtage: A Novel Aging Clock From Igg N-Glycome And Blood Transcriptome, Yao Xia, Syed Mohammed Shamsul Islam, Xingang Li, Abdul Baten, Xuerui Tan, Wei Wang Jan 2026

Deep Reinforcement Learning–Driven Multi-Omics Integration For Constructing Gtage: A Novel Aging Clock From Igg N-Glycome And Blood Transcriptome, Yao Xia, Syed Mohammed Shamsul Islam, Xingang Li, Abdul Baten, Xuerui Tan, Wei Wang

Research outputs 2022 to 2026

Previous studies have demonstrated that the immunoglobulin G (IgG) N-glycome and transcriptome are potential biochemical signatures of chronological and biological ages, and several aging clocks have been developed. By integrating the IgG N-glycome and transcriptome, we propose a novel aging clock, gtAge. We developed a deep reinforcement learning-based multiomics integration method called AlphaSnake. The results showed that AlphaSnake achieved a predicted coefficient of determination (R2) value of 0.853, outperforming the concatenation-based integration method (R2 = 0.820). The gtAge estimated by AlphaSnake explained up to 85.3% of the variance in chronological age, which was higher than that in …

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Determining The Carbon Footprint Of Australia’S Electricity, Gas, Water And Waste Services Sector, Soheil Kazemian, Rashid Zaman, Behzad Foroughi, Morteza Ghobakhloo Jan 2026

Determining The Carbon Footprint Of Australia’S Electricity, Gas, Water And Waste Services Sector, Soheil Kazemian, Rashid Zaman, Behzad Foroughi, Morteza Ghobakhloo

Research outputs 2022 to 2026

Purpose – This study aims to address the global challenge of quantifying sectoral carbon emissions, offering a scalable methodology applicable across diverse national contexts. As one of the world’s leading greenhouse gas emitters, Australia has a critical role in achieving the Paris Climate Change Agreement’s net-zero emissions goal by 2050. The utility services sector – electricity, gas, water and waste services – has historically been Australia’s largest source of CO2-equivalent emissions. However, this also highlights its significant potential to contribute to national emission reductions through targeted mitigation strategies. This research analyses the total carbon footprint of Australia’s utility services sector …

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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 Jan 2026

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 …

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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 Jan 2026

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 …

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A Review On Underwater Beamforming: Techniques, Challenges, And Future Directions, Ruba Zaheer, Quoc Viet Phung, Iftekhar Ahmad, Asma Aziz, Daryoush Habibi, Yue Rong, Walid K. Hasan Jan 2026

A Review On Underwater Beamforming: Techniques, Challenges, And Future Directions, Ruba Zaheer, Quoc Viet Phung, Iftekhar Ahmad, Asma Aziz, Daryoush Habibi, Yue Rong, Walid K. Hasan

Research outputs 2022 to 2026

This paper comprehensively reviews recent advancements in Underwater Beamforming (UWB) systems, highlighting its pivotal role in underwater communication, sensing, and environmental monitoring. It explores the various beamforming applications, ranging from maritime surveillance to marine life monitoring, and indicates its significance in enhancing signal clarity, spatial resolution, and noise suppression in underwater acoustic environments. The unique challenges posed by the underwater environment that introduce complexities into the beamforming process such as non-stationary noise interference, severe signal attenuation, multipath propagation, and dynamic environmental variability are thoroughly discussed. The review systematically discusses and examines conventional, adaptive, and learning-based beamforming techniques, analyzing their strengths, …

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How Supply Networks Influence Sustainable Innovation: Evidence From Ghana's Public Works Procurement, Peter Adjei-Bamfo, Hadrian Geri Djajadikerta, Kerry Brown, Ferry Jie, Reza Kiani Mavi, Alain Neher Jan 2026

How Supply Networks Influence Sustainable Innovation: Evidence From Ghana's Public Works Procurement, Peter Adjei-Bamfo, Hadrian Geri Djajadikerta, Kerry Brown, Ferry Jie, Reza Kiani Mavi, Alain Neher

Research outputs 2022 to 2026

Recent environmental and sustainability standards in procurement increase short-term production and operational costs to suppliers, which are often recouped by charging price premiums for innovative solutions. However, public buyers are less likely to pay such price premiums, resulting in a disincentive among suppliers to bid for innovation (unique) contracts. This article examines how innovation procurement stimulates network emergence to mitigate innovation costs and facilitate suppliers' sustainable innovation capacity. We inductively analyse interview responses, observations, archival data and modified Delphi discussions with technical experts involved in innovation-oriented public works procurement projects (i.e., building, water and road infrastructure) in Ghana. Our findings …

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Artificial Intelligence, Fundamental Motives, And Evolutionary Mismatch, Amy J. Lim, Jose. C. Yong, Edison Sora Tan Jan 2026

Artificial Intelligence, Fundamental Motives, And Evolutionary Mismatch, Amy J. Lim, Jose. C. Yong, Edison Sora Tan

Research Collection School of Social Sciences

In recent years, the intersection of artificial intelligence (AI) and psychology has garnered unprecedented attention, particularly following the advent of generative AI tools in 2022. These tools, capable of producing human-like text, images, and even deepening our understanding of cognitive processes, have not only captured the public imagination but also sparked new concerns and debates within the psychological community. While AI has been a subject of research for decades, the emergence of its generative capabilities has truly thrust AI into the spotlight. This article explores how these advancements are reshaping our understanding of human cognition and behavior, as well as …

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Corporate Social Responsibility In Iranian Knowledge-Based Companies: Exploring Barriers And Solutions, Mansoureh Mahdizadeh, Mehran Nejati Jan 2026

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 …

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Attacks And Detections In Recommender Systems: A Comprehensive Analysis For Models, Progresses, And Trends, Yan Feng, Zhihai Yang, Kexin Li, Jianxin Li, Pinghui Wang, Zhiquan Liu Jan 2026

Attacks And Detections In Recommender Systems: A Comprehensive Analysis For Models, Progresses, And Trends, Yan Feng, Zhihai Yang, Kexin Li, Jianxin Li, Pinghui Wang, Zhiquan Liu

Research outputs 2022 to 2026

Recommender systems (RSs), as crucial components of online services, can help users efficiently obtain information they may like. In reality, RSs face long-term threats. Attackers manipulate recommendation results by injecting malicious data in order to obtain benefits. At present, research on the security of RSs lacks a comprehensive understanding of attack capabilities. Moreover, existing defense strategies have not yet been systematically associated with attack characteristics. More importantly, existing defense methods rarely focus on real unlabeled data in practical application scenarios for anomaly detection and forensics. Therefore, this survey systematically analyzes the security of RSs and provides new insights. Specifically, we …

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Beta-Band Modulation Reveals The Cortical Dynamics Of Auditory Statistical Learning In Children, Jarrad A.G Lum, Christine N. Moreau, Li Ann Leow, Welber Marinovic, Sarah J. Lum, Marc F. Joanisse, Laura J. Batterink Jan 2026

Beta-Band Modulation Reveals The Cortical Dynamics Of Auditory Statistical Learning In Children, Jarrad A.G Lum, Christine N. Moreau, Li Ann Leow, Welber Marinovic, Sarah J. Lum, Marc F. Joanisse, Laura J. Batterink

Research outputs 2022 to 2026

Children's ability to extract statistical regularities from speech is considered fundamental to lexical, syntactic, and grammatical development. However, the neural oscillatory mechanisms supporting this process in childhood remains poorly understood. While beta-band oscillations have been linked to statistical learning in visual and motor domains, it is unclear whether similar dynamics support auditory statistical learning in children. In this study, we recorded electroencephalography (EEG) from children aged 8–12 years as they listened to a continuous stream of trisyllabic nonwords (e.g., dapiku), where syllable order within each nonword was fixed (high predictability), but transitions between nonwords were variable (low predictability). Beta power …

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Between Guidelines And Guilt: Parenting Through The Chaos Of Screen-Time Discourse, Stephanie C. Milford Jan 2026

Between Guidelines And Guilt: Parenting Through The Chaos Of Screen-Time Discourse, Stephanie C. Milford

Research outputs 2022 to 2026

Digital parenting today is shaped by shifting guidelines, moralised discourse, and often unstable institutional advice, leaving families navigating uncertainty without meaningful support. Drawing on governmentality theory and media studies, this piece examines how screentime discourse can position parents as primarily responsible for risks that are in part, produced by systems outside the home. Using the Australian policy reversal on YouTube as a case study, it highlights how inconsistent guidance can erode parental confidence and at times sustain cycles of shame and surveillance. Rather than consistently addressing structural factors such as platform design and algorithmic amplification, media and policy narratives displace …

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Towards Carbon Geosequestration: Comparing The Wettability Performance Of Western Australian Altered Basaltic Rock/Co2/Water Systems, Seyi Philemon Akanji, Rossen Sedev, Lionel Esteban, Ausama Giwelli, Trevor Beardsmore, Heather Howard, Joel Sarout, Alireza Keshavarz, Stefan Iglauer Jan 2026

Towards Carbon Geosequestration: Comparing The Wettability Performance Of Western Australian Altered Basaltic Rock/Co2/Water Systems, Seyi Philemon Akanji, Rossen Sedev, Lionel Esteban, Ausama Giwelli, Trevor Beardsmore, Heather Howard, Joel Sarout, Alireza Keshavarz, Stefan Iglauer

Research outputs 2022 to 2026

Geosequestration of carbon dioxide in basaltic rock formations is considered to have the potential to safely and permanently store significant quantities of this greenhouse gas and thereby mitigate its potential global warming effect. The success of this storage method is primarily dependent on the wettability behaviour of the rock-water-CO2 system, which significantly affects fluid distribution, fluid transport, storage capacity and containment security. This study investigates the wettability performance of several Western Australian altered basaltic rocks, of similar geochemistry, porosity and inter-connection. The wettability behaviour of the basaltic materials is assessed using water containing ions that have been leached from the …

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Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang Jan 2026

Tribological Properties Of Woven Carbon Fiber/Peek Composites From Ambient To 200 °C: Ultra-Low Wear And Performance Evolution, Zheng Bo Xu, Shu Qing Kou, Feng Qiu, Liang Yu Chen, Hong Yu Yang, Jun Nan Dai, Shi Li Shu, Ruifen Guo, Qi Chuan Jiang, Lai Chang Zhang

Research outputs 2022 to 2026

The limited mechanical and tribological stability of carbon fiber reinforced PEEK matrix composites at elevated temperatures remains a major obstacle to their widespread application in extreme service environments. In this work, stain-woven carbon fiber (60 wt%) reinforced PEEK composite (CP60) was fabricated via compression molding, and its temperature-dependent mechanical and wear performance was systematically evaluated. Friction and wear behavior were systematically investigated using pin-on-disc tests under dry sliding conditions. Experiments were conducted at two distinct temperatures (room temperature (RT) and 200 °C) with diverse loads (200–400 N) and sliding velocities (0.47 and 0.94 m/s). The composite exhibited lower average friction …

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Antecedents Of Employee Service Innovation Behaviour Through The Resource-Based View, Ataul Karim Patwary, Md Sazzad Hossain, S. Mostafa Rasoolimanesh, T. Ramayah Jan 2026

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 …

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Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani Jan 2026

Covert Performance Of Star-Ris Aided Thz Communication System With Rsma And Phase Errors, Xiangbin Yu, Yue Zhou, Shihao Yan, Yun Rui, Xiaoyu Dang, Chau Yuen, Mohsen Guizani

Research outputs 2022 to 2026

In this paper, the covert performance of the simultaneous transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) aided Terahertz (THz) communication systems with rate-splitting multiple access (RSMA) over the generalized α-μ fading channel is studied, where the discrete phase error and noise power uncertainty are considered. By means of the Gaussian approximation and Gamma distribution, the closed-form outage probability (OP) of the legitimate users is firstly derived. Then, the covert performance of the system is analyzed, and average detection error probability (ADEP) is deduced for the warden, and resultant closed-form ADEP is obtained. By minimizing the ADEP, the optimal detection threshold …

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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 Jan 2026

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 …

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Harnessing Mono-2-(Methacryloyloxy) Ethyl Succinate Grafting For Robust Micro/Nanoplastic-Resistant Ultrafiltration Membranes, Mohadeseh Najafi, Javad Farahbakhsh, Mitra Golgoli, Michael Johns, Masoumeh Zargar Jan 2026

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 …

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Integrating Environmental Awareness In Underwater Acoustic Networks: A Comprehensive Review, Sadaf Vahabli, Iftekhar Ahmad, Quoc Viet Phung, Daryoush Habibi, Walid K. Hasan, Ruba Zaheer Jan 2026

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 …

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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 Jan 2026

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 …

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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 Jan 2026

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 …

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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 Jan 2026

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% …

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Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua Jan 2026

Effects Of Electroshock Treatment On Microstructure Evolution And Mechanical Properties Of Ti-8al-1mo-1v Alloy, Jian Zhou, Yu Peng Yao, Hong Xin Sun, Chang Liu, Yan Wen, Li Qiang Wang, Lai Chang Zhang, Le Chun Xie, Lin Hua

Research outputs 2022 to 2026

The effect mechanism of electroshock treatment (EST) on microstructure evolution and mechanical property variations of Ti-8Al-1Mo-1V alloy was investigated. The results show that EST results in the phase transformation from the acicular secondary αs to β phase. While the EST time is 0.12 s, the acicular martensitic phase (αM) precipitates. The results of electron backscattered diffraction (EBSD) reveals that the average grain size decreases from 3.95 to 2.53 μm after EST, indicating that the grains are refined, and the significant recrystallization behavior and martensitic transformation occur. The orientation distribution reveals a more uniform distribution of texture, which is caused by …

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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 Jan 2026

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 …

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Praxis: The Missing Theory To Practice Link In Maximising Early Childhood Science Opportunities, Pauline Roberts, Patricia R. Collins Jan 2026

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. …

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Prevalence Of Dementia In Selected Middle East And North Africa (Mena) Countries: A Systematic Review And Meta-Analysis, Mohsen Sedighi, Mohammad Hasan Shahabi, Alireza Amanollahi, Khurshid Alam, Soudabeh Shemehsavar, Zahra Shirzadi, Serena Sabatini, Ahmad R. Khatoonabadi, Matthew Prina, Akram A. Hosseini, Claire V. Burley, Jennifer Dunne, Simin Mahinrad, Iman Dajani, Ralph N. Martins, Blossom C.M. Stephan, Ali Chaari, Hamid R. Sohrabi Jan 2026

Prevalence Of Dementia In Selected Middle East And North Africa (Mena) Countries: A Systematic Review And Meta-Analysis, Mohsen Sedighi, Mohammad Hasan Shahabi, Alireza Amanollahi, Khurshid Alam, Soudabeh Shemehsavar, Zahra Shirzadi, Serena Sabatini, Ahmad R. Khatoonabadi, Matthew Prina, Akram A. Hosseini, Claire V. Burley, Jennifer Dunne, Simin Mahinrad, Iman Dajani, Ralph N. Martins, Blossom C.M. Stephan, Ali Chaari, Hamid R. Sohrabi

Research outputs 2022 to 2026

Data on dementia epidemiology in the Middle East and North Africa (MENA) region is limited. This systematic review and meta-analysis examined dementia prevalence across MENA. Databases were searched up to October 2024. Analyses were stratified by country and sex. Pooled prevalence was estimated using a random-effects model with a 95% confidence interval (CI). Fifty-two studies on the selected countries met inclusion criteria, covering 87,219 individuals with dementia from a total population of 1,045,908. The pooled prevalence was 12.16% (95% CI: 9.61–14.96) for the region and the Israel had the highest prevalence (17.00%), followed by Iran (13.20%), Turkey (11.40%), Saudi Arabia …

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Professional Development To Inspire, Support, And Extend Stem-Related Learning, Somayeh Ba Akhlagh, Asma Hulayyil Aljohani, Maryam Jamal Alharthi, Nahla Mahmoud Gahwaji, Nouf Mohammed Albadi, Marianne Knaus Jan 2026

Professional Development To Inspire, Support, And Extend Stem-Related Learning, Somayeh Ba Akhlagh, Asma Hulayyil Aljohani, Maryam Jamal Alharthi, Nahla Mahmoud Gahwaji, Nouf Mohammed Albadi, Marianne Knaus

Research outputs 2022 to 2026

The success of STEM education in early childhood education is reliant on the pedagogical practices of teachers. Effective teaching of STEM requires specific knowledge of the four disciplines of STEM, appropriate teaching and learning methods and relevant experiences. In Saudi Arabia the teaching of STEM is a relatively new field, and this paper outlines a research project to promote the teaching and learning of STEM through professional development workshops. The research is informed by Vygotsky’s cultural-historical/socio-cultural theory, acknowledging the crucial role of social interaction and cultural context in a collaborative learning environment. To evaluate the project, a mixed methods approach …

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Sparse Gradient Training For Recommender Systems, Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Jianxin Li, Hongzhi Yin Jan 2026

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 …

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The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon Jan 2026

The Nature Of Agency: Designing Agentic Systems Using A Biomimetic Lens, Tegwen Malik, Laurie Hughes, Yogesh K. Dwivedi, Natalie De Mello, Igor Barahona, Il Jeon

Research outputs 2022 to 2026

Purpose: This paper aims to explore how biomimetic principles can inform governance models for agentic artificial intelligence (AI) systems, autonomous, adaptive entities that challenge traditional oversight frameworks. It argues that nature-inspired governance offers a dynamic alternative to static, compliance-based models. Design/methodology/approach: This study adopts a conceptual viewpoint approach. It synthesizes literature on AI governance, systems theory and biomimicry, applying thematic analysis to existing frameworks and mapping identified gaps to five natural principles: symmetry, fractals, cymatic feedback, self-organization and phase transitions. Findings: Current governance frameworks lack mechanisms for managing emergent behaviors and distributed agency in agentic AI. The proposed biomimetic lens …

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Feeling Giggity: Ambiguous Emojis In Teaching And Learning Communications, Mary Kynn, Nicole Reinke, Eva Hatje Jan 2026

Feeling Giggity: Ambiguous Emojis In Teaching And Learning Communications, Mary Kynn, Nicole Reinke, Eva Hatje

Research outputs 2022 to 2026

There is an increase in the number of digital platforms used in higher education classrooms that promote using emojis to capture students’ emotions. However, there is little evidence to suggest that interpretation of emojis is reliable in this context. This pilot project explored if emojis can reliably signify the emotions expressed by first-year university students. Students were asked to record their emotions by selecting a representative emoji and using free text to describe its meaning. A total of 72 responses were recorded in an anonymous online survey. Happy face emojis were used more frequently than emojis representing neutral or unpleasant …

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