38139 research outputs found
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Volleyball: Play with Purpose to Develop Game Sense (Australia)
No full textChapter 6 described Play with Purpose and detailed how to apply it to a middle school physical education (PE) unit on touch football. We refer the reader to Chapter 6 for a more detailed explanation of the Play with Purpose approach. In this chapter, we will look in little more detail at Play with Purpose as explicit teaching and deliberate practice. Explicit teaching involves the PE teacher ensuring that students have a clear understanding in four areas: why they are learning something; how what they are learning connects to what they already know; what is expected (learning outcome/s); and how to achieve the expectations (clear achievement standard). Explicit teaching also requires the PE teacher to provide students the opportunity to inquire about their learning and provide them with clear feedback about their performance in relation to meeting the learning expectation/s. This chapter applies a Play with Purpose approach to teaching volleyball for an upper-primary (elementary) school unit of work. Specifically, the unit of work is for a year 6 class mixed-ability class
Advancements in Antimicrobial Surface Coatings Using Metal Metaloxide Nanoparticles, Antibiotics, and Phytochemicals
Full text linkThe growing prevalence of bacterial infections and the alarming rise of antimicrobial resistance (AMR) have driven the need for innovative antimicrobial coatings for medical implants and biomaterials. However, implant surface properties, such as roughness, chemistry, and reactivity, critically influence biological interactions and must be engineered to ensure biocompatibility, corrosion resistance, and sustained antibacterial activity. This review evaluates three principal categories of antimicrobial agents utilized in surface functionalization: metal/metaloxide nanoparticles, antibiotics, and phytochemical compounds. Metal/metaloxide-based coatings, especially those incorporating silver (Ag), zinc oxide (ZnO), and copper oxide (CuO), offer broad-spectrum antimicrobial efficacy through mechanisms such as reactive oxygen species (ROS) generation and bacterial membrane disruption, with a reduced risk of resistance development. Antibiotic-based coatings enable localized drug delivery but often face limitations related to burst release, cytotoxicity, and diminishing effectiveness against multidrug-resistant (MDR) strains. In contrast, phytochemical-derived coatings—using bioactive plant compounds such as curcumin, eugenol, and quercetin—present a promising, biocompatible, and sustainable alternative. These agents not only exhibit antimicrobial properties but also provide anti-inflammatory, antioxidant, and osteogenic benefits, making them multifunctional tools for implant surface modification. The integration of these antimicrobial strategies aims to reduce bacterial adhesion, inhibit biofilm formation, and enhance tissue regeneration. By leveraging the synergistic effects of metal/metaloxide nanoparticles, antibiotics, and phytochemicals, next-generation implant coatings hold the potential to significantly improve infection control and clinical outcomes in implant-based therapies
The Role of Caregivers in Supporting Personal Recovery in Youth with Mental Health Concerns
Full text linkBackground/Objectives: Mental disorders that emerge during adolescence frequently extend into adulthood, predicting poor academic and employment outcomes and heavy societal burdens. Novel efforts to improve youth mental health have transitioned from clinical recovery, typically focused on a cure, to a strength-based approach to wellbeing in supporting youth within mental health services. Mental health scholars have appealed for interventions to adopt an ecological system of care approach that integrates the principal caregivers in a young person’s life. Despite preliminary literature indicating the importance of caregivers, little research has focused on the caregiver’s role in supporting personal recovery in youth. Methods: This study sought to understand the role of caregivers in youth recovery by employing a qualitative design to inductively analyze the narratives from nine semi-structured interviews with caregivers. Additionally, deductive analysis explored the core five underpinnings of personal recovery connectedness, hope, identity, meaning, and empowerment (CHIME). Results: A thematic analysis of the literature identified five themes: providing unconditional love and positive regard; encouraging connection with peers; co-creating a sense of purpose, meaning, and hope; supporting assertiveness and advocacy; and promoting strength and opportunity for mastery aligning with the CHIME framework. The findings will allow health services to understand caregivers’ roles better, thus providing information to guide recovery-oriented and family-centered care
Factors Affecting the Material Footprint in G7 Countries: Panel Cointegration Approach With Fourier Function
No full textThe material footprint (MFP) is a critical issue due to the pressure on natural resources, environmental degradation, biodiversity loss, and increased greenhouse gas emissions. In the existing literature, the determinants and their impacts on the MFP of G7 countries have not been sufficiently examined. The aim of this study is to analyze the effects of material productivity, energy transition (ET), globalization, economic growth, financial development, and population on the MFP of G7 countries. Using annual data from 1983 to 2021, the panel cointegration technique and the Toda–Yamamoto causality test with Fourier function are applied. The results reveal that there are significant but variable causal relationships between the dependent and independent variables specific to each country. Panel cointegration estimates show that renewable energy, economic growth, financial development, and population have a positive effect on MFP, while material productivity, globalization, and the square of economic growth have a negative effect. These findings support the validity of the Environmental Kuznets Curve (EKC) hypothesis in the context of MFP. Our study provides policy recommendations to help G7 countries achieve a balance between environmental sustainability and economic growth
Virtue and Transformation: A Heuristic of Transformative Learning as a Journey of Deconstruction and Reconstruction
Full text linkThis paper explores the intersection of transformative learning and virtue epistemology within the context of education for democratic society. Drawing on historical and contemporary scholarship, it is argued that the cultivation of intellectual virtues such as intellectual humility, curiosity, courage and tenacity are essential for fostering the critical thinking and reflective capacities necessary for robust democratic participation. Through theory building and theory testing, a heuristic of transformative learning as a journey of deconstruction and reconstruction, underpinned by intellectual virtues, is presented and substantiated. The empirical component of this paper examines the transformative experiences of former student delegates at the National Student Leadership Forum (NSLF) in Australia, through a mixed-methods retrospective case study. The findings offer a novel framework for researching and discussing transformative learning, and these have unique implications for education in democratic societies, particularly given the post-truth situation which has emerged in recent times
13th International Conference on Health Information Science (HIS 2024)
No full textAnalysis of human behaviour in IoT applications based on human interaction is the area in which human activity recognition has drawn a lot of attention. In this paper, we proposed an intelligent model integrating multivariate dynamic mode decomposition (MDMD) and ensemble machine learning model to recognise physical human activity. The sensor data is decomposed into dynamic modes using MDMD. Different features including statistical features, power, average absolute amplitude, and frequency are derived from each mode to represent different classes of human activity. To classify the exacted features, several ensemble learning models are employed. The proposed model’s performance is evaluated using two datasets, UCI-HAR, and WISDM. The proposed model obtained remarkable accuracies of 97.6, and 95.5%, F1-score of 95%, and 93.20% for UCI-HAR, and WISDM respectively. Our findings proved that the proposed model is superior to competing previous models
Predicting near-real-time total water level with an artificial intelligence model based on Australia's tidal wave energy belt dataset
No full textWave energy resulting from interactions of Earth’s gravitational field with the Sun and Moon is considered a significant resource of distributed variable renewable energy to contribute to the supply of consumer electricity. In this study, we developed an artificial intelligent model based on extreme learning machine (ELM) and hourly seawater level (Ht) data collected between February 02-January 2001 and 31-December 2005 at wave energy sites in Broome, Darwin, Cape Ferguson, and Milner Bay in Northern Australia to predict Ht over near real-time hourly scales. The proposed ELM model is benchmarked against the emotional neural network (EmNN) and extreme gradient boosting (XGBoost) models. The proposed ELM is shown to outperform the EmNN and XGBoost models concerning training, validation, and testing data. For all four study sites, the proposed ELM model achieved a correlation coefficient of 0.998–0.999 vs. 0.975–0.993 (for the EmNN) and 0.975–0.998 (for the XGBoost). Correspondingly, the Legates & McCabe’s Index were 0.936–0.973 vs. 0.775–0.879 and 0.775–0.953 for the ELM and EmNN models and the XGBoost model's testing phase (0.775–0.879), resulted in a significant reduction in root mean square (0.092, 0.069, 0.042 and 0.027 for the sites Broome, Darwin, Cape Ferguson and Milner Bay, respectively) and mean absolute error (0.044, 0.054, 0.033 and 0.021 for the sites Broome, Darwin, Cape Ferguson and Milner Bay, respectively), while Willmott’s Index (1.00 for all sites) and Nash–Sutcliffe’s coefficient (0.998 for Broome and Darwin, 0.996 for Cape Ferguson, and 0.995 for Milner Bay) comparing the predicted and observed Ht registered the highest values compared to all benchmark models. The ELM model also produced the greatest frequency of errors in the smallest error bracket, thus demonstrating its efficacy in predicting hourly seawater levels. In addition, the study also extracted results by developing a multiple linear regression (MLR) model, one of the well-known forecasting technique, and compared it with the machine learning models used in this study. According to the experiment, the study finding that the MLR model has slightly better accuracy in some cases when it was compared with the EmNN and XGBoost models. However, the study objective model (ELM) has relatively better performance in all study sites comparing with the MLR model. We, therefore, conclude that the proposed ELM model may be a useful stratagem for monitoring seawater levels in near-real-time and adopted for forecasting wave energy potentials in tidal energy belt regions
Building the Australian Counselling Profession's Research Capacity for the Future: A Collaborative Strategic Approach
No full textBackground
This paper presents an analysis of the current research landscape within the Australian counselling profession, identifying key challenges and proposing a strategic approach to building research capacity.
Problem Statement
Written by a taskforce of educational leaders, it reports their perceptions and experiences of the multifaceted challenges hindering research development. These challenges encompass the limited pipeline of future doctoral-trained counselling educators, the barriers to promotion opportunities for current counsellor educators, and the impact these deficits may have on the profession overall.
Proposed Solutions
To address these challenges, the paper proposes a series of targeted strategies aimed at stakeholders across the research ecosystem.
Conclusion
The intention of disseminating these strategies is to support counselling professionals in other regions who may be interested in further development of their own research capacity