18397 research outputs found
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An exploration of sustainable food waste management in restaurants through the application of Social Practice Theory
No full textRestaurants represent a major part of the hospitality and food services sector, therefore, food waste restaurants was the focus of this research. This study provided in-depth research utilising Social Practice Theory on the issue of food waste in restaurants, with the aim of identifying key target areas for food waste reduction by focusing on the managerial role and understanding the customers’ involvement in reducing and managing food waste. Findings emphasised the role of people, such as restaurant managers, and staff, collectively on how practices and performances can be changed in creating more sustainable food waste management or pro-environmental behaviours.</p
Antimicrobial peptides based on puroindolines: investigations of their biocidal effect, potential for resistance development, and anticancer activity
No full textAntimicrobial peptides (AMPs) derived from wheat proteins were investigated for their ability to combat drug-resistant pathogens and biofilms. These peptides showed activity against bacteria and fungi causing infections, disrupted biofilm formation, and exhibited potential anticancer effects. Resistance to the peptides was limited and transient, highlighting their therapeutic promise. The findings contribute to developing alternative treatments for multidrug-resistant infections and potential cancer therapies, addressing urgent global health challenges.</p
Digital Social Connection 101: A primer on fostering healthy online connections
No full textSocial media, messaging apps, and other digital platforms are reshaping how we build and maintain relationships. This primer aims to help professionals and practitioners working with communities navigate this evolving landscape of digital communication.</p
Application of Machine Learning in Cold Spray
No full textThis research developed machine learning models that predict how parts made using the cold spray manufacturing and coating technique will perform. Using experimental data and machine learning methods, the study created tools to predict qualities such as strength, porosity, and deposition efficiency. These models help manufacturers select the best settings for producing high-quality metal parts, reducing the need for costly trial and error. The models developed in this work have the potential to make the manufacturing of metal parts faster, cheaper, and more reliable.</p
Advancing Blockchain and Cybersecurity Through Human-Centric Design and AI-Driven Solutions
No full textThis study addresses three challenges in digital security and cryptocurrency use. It reveals common mistakes people make with cryptocurrency wallets and introduces an educational game that builds security awareness and practical wallet skills. It also builds an artificial-intelligence system that scans cryptocurrency transactions to flag suspicious activities early, and a language tool that quickly spots cybersecurity-related terms from articles. Together, these tools help ordinary users protect their savings, support regulators in stopping money laundering and scams, and raise public awareness of cyber threats.</p
'If I couldn’t garden, I wouldn’t enjoy life': Older adults’ perspectives on housing and gardening
No full textThis research project aimed to learn more about how older adults’ housing affects their gardening activities. We believe that everyone who wants to garden should be able to garden. To support more older adults to garden, we first need to understand the barriers to this activity. We also want to understand what motivates older adults to garden and what factors enable gardening. From this, we can work towards making gardening more accessible to a wider range of people, whatever their housing circumstances.</p
An evaluation of the Moroka Unit: A dialectical behaviour therapy-informed residential intervention program for people in prison
No full textPeople in prison are disproportionately affected by personality disorders and the use of complex behaviours, yet face barriers to treatment. Many programs do not address underlying emotional and impulse regulation difficulties associated with personality disorder. Dialectical behaviour therapy (DBT), originally developed for borderline personality disorder, may help address these needs. This thesis evaluates the Moroka Program, a DBT-informed residential treatment in a Victorian prison. Three studies assessed program outcomes, participant experiences, and staff perspectives. Findings were mixed, suggesting some positive impacts but also highlighting implementation challenges. Recommendations included longer duration, tailored content, and greater staff support.</p
Enhancing Flight Delay Prediction: A Deep Learning Approach for Weather-Driven Disruptions
No full textThis study proposes a hybrid deep learning model combining Multi-layer LSTM, Attention, and MLP to improve weather-induced flight delay prediction. Using filtered U.S. aviation and weather datasets, the model captures both short- and long-term temporal patterns while dynamically prioritising influential features. Experimental results show superior performance compared with traditional machine learning and standard deep learning models, achieving over 96% accuracy. The approach supports more reliable delay forecasting, enabling airlines and airports to enhance operational planning, resource allocation, and disruption management.</p
Design and Implementation of Time Measurement Accuracy Calibration Device for Relay Protection Test Equipment
No full textThis research designed a novel calibration device for relay protection test equipment. achieving three objectives: high-precision within 10 μs accuracy, which reduces the error by 92.88 %; full-range with 1 ms to 100 ms, filling the gap in the industry; high-efficiency with close-loop calibration process, shortening the calibration cycle by 85.7%. And the objectives are verified through experiments in a third-party laboratory. The novel calibration method presented in this thesis improves the accuracy, range, and efficiency of digital signal calibration of the relay protection test equipment and promotes the standardization.</p
Optimal Sizing and Allocation of Distributed Generation Units Using Novel Gang-Based Particle Swarm Optimisation Technique
No full textThis research proposed a new method for sizing and placing of distributed generators within local power networks. The approach utilized a novel optimisation strategy to increase network efficiency, reduce energy losses, and improve the stability of voltage supplied to customers. By assessing real distribution-network conditions, the study shows how small-scale energy sources can be integrated more effectively. The outcomes support the development of more reliable, efficient, and sustainable power systems that benefit both electricity users and the broader community.</p