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What is the 'glass cliff' phenomenon – and why do women often find themselves on the precipice?
Get PDFUnderstanding technology acceptance towards online creative arts learning in teacher education
No full textThe global shift to online higher education poses challenges for embodied fields like creative arts. This study examines higher educators’ attitudes toward facilitating online creative arts education for pre-service teachers. Data from diverse countries were collected late 2023 via a validated Technology Acceptance Model survey with additional sections exploring teaching practices. Analysis revealed that perceived usefulness, ease of use, and institutional support influence educators’ acceptance of and intent to teach online. Findings highlight difficulties in adapting hands-on arts education to digital platforms and identify external factors affecting acceptance, which may enhance support and improve online integration in teacher education programs
13th International Conference on Health Information Science (HIS 2024)
No full textThe rapid advance in lifelog data which is captured through smartphones has shown the need for sophisticated tools to better understand human’s behaviour from physical activity. Analysing lifelog data is challenging and complex task due to its nonstationary nature. Designing proper human activity recognition (HAR) techniques is necessary to obtain a significant interpretation for human behaviour. In respond, we deigned a spectral graph wavelet transform (SGWT) based machine learning model for HAR. Each row of human activity data is transferred into an undirected graph and then, SGWT is applied. The SGWT coefficients are investigated and used to classify physical human activity. We employed the principal component analysis model to reduce feature dimensionality. The extracted features are sent to several classification models such as a support vector machine (SVM), stacking, Boosting, least support vector machine (LS-SVM), k-nearest (KNN). The proposed model is evaluated using a publicly available dataset. The stacking classifier obtained 0.97% accuracy. The proposed model for HAR obtained an outstanding classification rate compared to the previous models. The results proved that the proposed model is a useful tool for analysing human behaviour
Interactive technologies and student engagement in online higher education: a multidimensional analysis
No full textA noticeable challenge in online higher education is engaging students, as engagement is linked to several academic outcomes, such as retention, grade point average and graduation rates. Informed by an expanded student engagement framework, this study explored three technologies – Padlet, video-embedded quizzes and Google Docs – and their effectiveness in providing opportunities for students’ online learning engagement across four university courses. A difference in perceived engagement across participants’ demographic information was further explored. Drawing upon survey data, learning analytics and observations, the study described findings related to each technology and specific dimensions of student engagement. The results showed differences in students’ perceived cognitive, behavioural and social engagement using the selected technologies. In addition, a significant mean difference was observed in the influence of the three embedded technologies on students’ engagement across their ages. This study contributes to selecting technologies for teaching that enhance students’ engagement, particularly for targeted groups of students
Environmental Scanning: a look to the future
Get PDFEnvironmental scanning was originally conceived as a continuous evaluation methodology that identified internal and external trends that might impact an organization's success in the present and future. Best approached holistically and inductively, environmental scanning draws upon internal and external sources of information to determine the broader contextual environment in which a program, policy, or organization operates. Analyzed and reported thematically, environmental scans are used by management, evaluation commissioners, and policymakers to plan, adapt and inform program, policy, and organizational objectives, as well as the wider strategic intent. This methodology is valuable to all organization types due to its non-structured format but rigorous reliance upon a broad evidence-base upon which sound strategic and tactical decisions can be made. The purpose of this article is to provide an overview of environmental scanning and to discuss its practical applications as a rigorous methodology. Evaluators are encouraged to consider environmental scanning as a valuable addition to their toolkits to help organizations improve outcomes for programs and interventions
Genomic regions conferring partial Fusarium crown rot resistance in commercial wheat cultivars
Get PDFThis study aimed to genetically characterize Fusarium crown rot (FCR) resistance in high-yielding commercial spring bread wheat (Triticum aestivum L.) cultivars SST 087, with partial FCR resistance, and susceptible cultivar PAN 3471. Multi-year trials were conducted in South Africa, and one trial was run in Australia. Nine FCR quantitative trait loci (QTLs) were identified across eight different chromosomes (1A, 1D, 2A, 2B, 3D, 5B, 6D, 7A, and 7D). A QTL on chromosome 7A had the highest logarithm of the odds (LOD) score of 7.8 with 15% of the phenotypic variance explained and was identified across multiple years and in both the South African and Australian environments. The 35K Affymetrix Axiom Wheat Breeders’ Array data were used to identify sequence data for QFcr.cg-7A for development of FCR markers for marker-assisted selection in wheat breeding programs. QTLs associated with grain yield under FCR infection were identified on chromosomes 2A, 3D, 5B, 5DS, and 7A, with the QTL on 5B having the highest LOD score (4.6). A yield QTL on the distal end of chromosome 2AS was detected in the chromosome region where the Aegilops ventricosa Tausch 2NVS translocation-associated markers map. The yield benefit was associated with the absence of this translocation in PAN 3471 in 2019, which was a drought stressed year with a much lower rainfall compared to 2020, when it went undetected. We have identified partial FCR resistance in the high-yielding commercial cultivar SST 087 and have identified FCR markers for marker-assisted selection in wheat breeding programs
Influence of surface engineering on the transport properties of lead sulfide nanomaterials
No full textLead Sulfide (PbS) has garnered attention as a promising thermoelectric (TE) material due to its natural abundance and cost-effectiveness. However, its practical application is hindered by inherently high lattice thermal conductivity and low electrical conductivity. In this study, we address these challenges by surface functionalization of PbS nanocrystals using Cu2S molecular complexes-based ligand displacement. The molecular complexes facilitate the incorporation of Cu into the PbS matrix and leads to the formation of nanoscale defects, dislocations, and strain fields while optimizing the charge carrier transport. The structural modulations enhance the phonon scattering and lead to a significant reduction in lattice thermal conductivity of 0.60 W m−1K−1 at 867 K in the PbS-Cu2S system. Simultaneously, the Cu incorporation improves electrical conductivity by increasing both carrier concentration and mobility with carefully optimized the content of Cu2S molecular complexes. These synergistic modifications yield a peak figure-of-merit (zT) of 1.05 at 867 K for the PbS-1.0 %Cu2S sample, representing an almost twofold enhancement in TE performance compared to pristine PbS. This work highlights the effectiveness of surface treatment in overcoming the intrinsic limitations of PbS-based materials and presents a promising strategy for the development of high-efficiency TE systems
FlexiCombFE: A flexible, combination-based feature engineering framework for brain tumor detection
Get PDFDeep learning models are prevalently employed for image classification, but significant opportunities remain within the domain of feature engineering. This study introduces FlexiCombFE, a novel, flexible, combination-based feature engineering framework for brain tumor detection using various fixed-size patch divisions. This framework employs three distinct feature extractors (Local Phase Quantization, Local Binary Pattern, and Pyramidal Histogram of Oriented Gradients) to generate a total of seven primary feature vectors. By using four types of fixed-size patch divisions, 28 feature vectors are generated. Then, three feature selectors (Chi-squared, Neighborhood Component Analysis, and ReliefF) create 84 selected feature vectors. In the classification phase K-nearest neighbors and support vector machine classifiers yield 168 classifier-specific outcomes. An information fusion generates 166-voted outcomes, with the most accurate classification outcome selected as the final output. This self-organizing feature engineering model achieved a classification accuracy of 99.35% on a brain tumor image dataset, outperforming several deep learning approaches. The modular design of the proposed framework allows for detailed analysis of the classification effects of individual methods, providing optimal feature engineering strategies for medical image classification tasks
Bridging historical understanding with culturally safe nursing and midwifery care for indigenous people: a scoping review's telling gap in literature
Get PDFAim
The purpose of this paper is to explore the need for historically informed, culturally safe nursing and midwifery literature about Australian Indigenous people.
Background
The cultural safety framework, developed by Irihapeti Ramsden, has long identified the importance of historical literacy in delivering culturally safe nursing and midwifery care. However, little evidence is available exploring the links between these domains. In the Australian setting, this is particularly relevant due to the health gap and, therefore, life differentials between Indigenous and non-Indigenous Australians and the potential of culturally safe nursing and midwifery care to contribute to rectifying this.
Methods
A scoping literature review was conducted by searching four databases for both articles and grey literature that explored historically informed, culturally safe nursing and midwifery practice for Indigenous people internationally. This search spanned from 2003 onwards and required discussion of clinical practice by registered nurses or midwives. A discursive method was utilised to analyse the discourse surrounding these domains.
Results
The review found only two texts that explored the connection between Indigenous peoples, history, cultural safety, nursing and midwifery in depth. This highlights a large literature gap internationally. Following this review, a discursive argument was created that highlights how a lack of culturally safe, historically informed care in Australia has resulted in unsafe and racist health experiences for Indigenous people.
Conclusions
Australian nurses, midwives, healthcare organisations and health academics are provided with recommendations on how they can create the mandated cultural safety through historically informed environments and care practices. These include but are not limited to, ongoing Indigenous-led professional development, appropriate remuneration for Indigenous knowledge holders, and professional development for all nursing and midwifery academics
High elastic modulus GFRP rebar: A guide to manufacture and design of the influencing parameters
No full textGlass fibre reinforced polymer (GFRP) bars are increasingly used as internal reinforcement to concrete infrastructures exposed to harsh environment. A wide range of GFRP bars are commercially available but with high discrepancy in properties due to the inconsistent selection of the manufacturing and design parameters. In contrast to steel bars, producing structural GFRP bars requires a bigger actual than nominal bar diameter claiming higher modulus of elasticity. For the first time, this study reviews the current practice of designing the GFRP bar diameter and reasons behind the discrepancy (lower-upper bound of allowable diameter). It also describes the critical manufacturing parameters through pultrusion process. Moreover, it provides a practical demonstration on systematic design and manufacturing procedures of new GFRP bars both theoretically and experimentally. The guidance provided in this study will be valuable to GFRP manufacturers in consistently producing high modulus GFRP bars (Grade III) without varying much from the nominal diameter