26564 research outputs found
Sort by
PhD exploring the nature of agricultural industry school partnerships in Gippsland, Australia.
No full textPhD exploring the nature of agricultural industry school partnerships in Gippsland, Australia.</p
Data from systematic review of barriers and enablers encountered by elite athletes during preconception and pregnancy
No full textIncludes search strategies, data extraction table, full text articles of included studies and final manuscript.</p
Data from scoping review of pregnancy and parenting policies in Australian sporting organisations
No full textIncludes data extraction table, included policies and final manuscript.</p
Sonographic anatomy and imaging of the great auricular nerve
No full textPURPOSE: The great auricular nerve (GAN) provides sensory innervation to the region of the parotid gland, angle of mandible, external ear and mastoid process. Sonographic imaging can allow lesions, injury and entrapment of the superficial GAN to be diagnosed. To sonographically image the GAN, its detailed relative anatomy, how and where it can be demonstrated with ultrasound, and its sonographic appearance should be appreciated. METHODS: A review of the literature was conducted to unpack the path and course of the GAN, its areas of sensory innervation and how it should be clinically and sonographically assessed. Practical scanning workshops have informed the technique to sonographically image the GAN. RESULTS: Magnetic resonance imaging is best used to demonstrate the proximal path of the GAN deep to the sternocleidomastoid muscle. Ultrasound imaging can be used for imaging the superficial portion of the GAN and guiding therapeutic injections. The superficial GAN can be easily sonographically located overlying the sternocleidomastoid muscle (SCM) in the mid neck and tracked inferiorly (proximally) and superiorly (distally) from this point including to its branches. CONCLUSION: Sonographic imaging of the GAN and ultrasound guided injections around it, require an appreciation of the GAN path, its detailed relative anatomy, sonographic appearance and technique to image it, as well as common structural and clinical conditions that can impact it.</p
Factors affecting corporate climate change disclosures: An empirical investigation on listed firms operating in Bangladesh
No full textThe study examines the impact of the various firm characteristics on the level of corporate climate change disclosure by Bangladeshi firms. It includes 450 firm‐year observations for firms that are listed on Bangladesh's Dhaka Stock Exchange (DSE). The authors undertake a panel regression analysis to look at the relationship between various factors related to firms' characteristics and corporate climate change disclosures using ordinary least square (OLS) and two‐stage least square (2SLS) methods. This study claims that larger firms and environmental award have a positive effect on the firm's propensity to disclose climate change information. However, study outcomes also find a negative relationship between climate disclosure and other firm factors such as economic performance, age, level of indebtedness, and the existence of an environmental committee. This research provides directives for business experts, policymakers, and regulatory authorities to formulate more realistic policies for business concerns to make them aware to disclose climate change information.</p
Real time soil moisture data and weather data
No full textThe objective of the proposed research is to develop an IoT based intelligent watering system in the managed parks. This objective is aligned with CQUniversity's research strength under the area: “smart systems and computational intelligence”. In this project, we will install several data collection sensors to monitor the moisture content of the park. Some of these data collection sources will be automated for real-time collection and storing of data in a cloud storage facility. This information will be used with data mining technologies to analyse for accurate watering and forecasting. The decision of the developed model will be integrated with the existing irrigation systems for smart automation, which will deliver water in accordance with the requirements of the plant, the rainfall received and evaporative demand of the system. The skills which we are going to learn while doing this project is machine learning, artificial intelligence, IoT and programming skills.</p
EMG Data and Analysis
No full textThis dataset contains EMG recordings from the test subject across eight trials, consisting of four trials without the exoskeleton and four trials with it. The data were analyzed using a MATLAB script to evaluate the efficacy of the exoskeleton.</p
A comprehensive review of RO membrane fouling: Mechanisms, categories, cleaning methods and pretreatment technologies
No full textAs the global water crisis intensifies, reverse osmosis (RO) membranes play a pivotal role in desalination and industrial water treatment. However, membrane fouling significantly hampers their effectiveness, reducing water quality and production rates while increasing operational costs and maintenance demands. This review addresses the critical gaps in understanding the mechanisms of fouling, categorizing it into four distinct types: inorganic scaling, organic fouling, biofouling, and colloidal fouling, each presenting unique challenges to membrane performance. We delve into both external and internal fouling mechanisms, highlighting how contaminants obstruct membranes through different pathways. Additionally, we provide an in-depth evaluation of existing cleaning methodologies, distinguishing between conventional methods and emerging non-conventional techniques such as osmotic backwashing and ultrasonic cleaning. While physical cleaning methods effectively address reversible fouling, chemical treatments remain essential for irreversible fouling, despite their potential risks to membrane integrity. Furthermore, we explore innovative pretreatment technologies that show promise in mitigating fouling and extending membrane lifespan. By synthesizing current knowledge and pinpointing specific areas for future research—particularly in emerging technologies—this review aims to enhance the operational efficiency of RO membranes and contribute to sustainable solutions for the escalating global water crisis
A qualitative evidence synthesis of participant, caregiver, and provider experiences of lung cancer exercise programs
No full textPurpose: This review sought to synthesise the existing qualitative literature to answer the question: “What are the experiences of people with lung cancer, caregivers, and/or providers regarding participation in or delivery of exercise programs?”. Methods: A qualitative evidence synthesis. Published literature from databases EMBASE (Ovid), MEDLINE (Ovid), PsycINFO (Ovid), CINAHL (EBSCO), Cochrane Library, Scopus, PEDro, and Web of Science and grey literature using thesis repositories and Google Scholar were searched on 18th February 2022 and updated on 8th October 2024. Included studies’ methodological limitations were evaluated using the Critical Appraisal Skills Programme (CASP) checklist by two independent researchers. First- and second-order qualitative data were extracted, cross-checked, and combined in thematic synthesis by one researcher, with another coding 10%, and they collaborated to determine the final themes, subthemes, and findings. Two independent researchers assessed the confidence in the findings using the GRADE-CERqual approach. Results: Twenty-four studies were included comprising 23 unique exercise programs (10 supervised centre-based and 13 unsupervised, home-based programs.). All studies included patients’/participants’ perspectives; six included clinicians, and two included caregivers. Forty-one findings were organised under four broad themes: 1) components of exercise program design, 2) providers of exercise programs, 3) the value of exercise programs, and 4) facilitating behaviour change. Overall, key stakeholders viewed exercise programs as effective and acceptable and valued individualised and tailored programs. Most findings were of moderate-to-high confidence. Conclusion: Based on the experiences of key stakeholders, 15 specific recommendations were generated that may improve the acceptability and effectiveness of lung cancer exercise programs.</p
Decentralized management of unbalanced multi-agent distribution systems: A transactive approach leveraging ADMM framework
No full textThe emergence of multi-agent systems and significant integration of distributed energy sources (DESs) are transforming distribution networks. This necessitates a decentralized management strategy for unbalanced operation in multi-agent distribution systems (MADSs) due to the autonomous nature and potential for unbalanced injection of single-phase DESs. Accordingly, this paper proposes a novel approach for decentralized management of unbalanced operation in MADSs. The approach leverages a customized alternating direction method of multipliers to facilitate decentralized decision-making, while incorporating transactive energy signals aligned with the alternating direction method of multiplier framework to enable independent agent operation. In this scheme, independent agents would optimize their operating costs considering the announced transactive signals, which model the power prices and power loss in the grid. The decentralized structure enables agents to apply stochastic and condition value at risk methods to address the uncertainty and associated risk in scheduling resources. Furthermore, without violating the privacy concerns of agents, the developed transactive-based scheme facilitates minimizing the asymmetrical condition, caused by the unbalanced integration of DESs, in the power request at the connection point of MADSs and transmission networks. Finally, the proposed methodology is simulated on 37-bus and 123-bus test-systems to study its effectiveness in managing the MADSs with unbalanced integration of DESs.</p