Antisocial and prosocial online behaviour : exploring the roles of the dark and light triads
- Authors: March, Evita , Marrington, Jessica
- Date: 2023
- Type: Text , Journal article
- Relation: Current Psychology Vol. 42, no. 2 (2023), p. 1390-1393
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Aphasia rehabilitation when speech pathologists and clients do not share the same language: a scoping review
- Authors: Larkman, Chelsea , Mellahn, Kathleen , Han, Weifeng , Rose, Miranda
- Date: 2023
- Type: Text , Journal article
- Relation: Aphasiology Vol. 37, no. 4 (2023), p. 635-657
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- Description: Growing cultural and linguistic diversity globally is increasingly requiring speech pathologists to provide effective and equitable aphasia rehabilitation to clients with whom they do not share a language. Little is known about how rehabilitation is being adapted and provided when a language mismatch arises between the therapist and the client. This scoping review aims to systematically map the evidence related to aphasia rehabilitation when the speech pathologist and the client do not share a language. A comprehensive search was conducted in September 2020. Twenty studies comprising surveys and/or interviews and descriptive publications were reviewed. Speech pathologists frequently report a lack of confidence, skill, and preparation to work with culturally and linguistically diverse clients with aphasia. Furthermore, there is a shortage of published evidence, guidelines, resources, and access to interpreters to support their practice. Further research is needed into aphasia rehabilitation when there is no shared language between client and speech pathologist, with particular attention to the therapy approach selected and adaptations required for the target language and culture. Information is needed concerning how the speech pathologist and interpreter work together, as well as the experiences of interpreters and people with aphasia and their families.
Application of a universal parasite diagnostic test to biological specimens collected from animals
- Authors: Lane, Meredith , Kashani, Mitra , Barratt, Joel , Qvarnstrom, Yvonne , Yabsley, Michael , Garrett, Kayla , Bradbury, Richard
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal for Parasitology: Parasites and Wildlife Vol. 20, no. (2023), p. 20-30
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- Description: A previously described universal parasite diagnostic (nUPDx) based on PCR amplification of the 18S rDNA and deep-amplicon sequencing, can detect human blood parasites with a sensitivity comparable to real-time PCR. To date, the efficacy of this assay has only been assessed on human blood. This study assessed the utility of nUPDx for the detection of parasitic infections in animals using blood, tissues, and other biological sample types from mammals, birds, and reptiles, known to be infected with helminth, apicomplexan, or pentastomid parasites (confirmed by microscopy or PCR), as well as negative samples. nUPDx confirmed apicomplexan and/or nematode infections in 24 of 32 parasite-positive mammals, while also identifying several undetected coinfections. nUPDx detected infections in 6 of 13 positive bird and 1 of 2 positive reptile samples. When applied to 10 whole parasite specimens (worms and arthropods), nUPDx identified all to the genus or family level, and detected one incorrect identification made by morphology. Babesia sp. infections were detected in 5 of the 13 samples that were negative by other diagnostic approaches. While nUPDx did not detect PCR/microscopy-confirmed trichomonads or amoebae in cloacal swabs/tissue from 8 birds and 2 reptiles due to primer template mismatches, 4 previously undetected apicomplexans were detected in these samples. Future efforts to improve the utility of the assay should focus on validation against a larger panel of tissue types and animal species. Overall, nUPDx shows promise for use in both veterinary diagnostics and wildlife surveillance, especially because species-specific PCRs can miss unknown or unexpected pathogens. © 2022
Application of KRR, K-NN and GPR algorithms for predicting the soaked CBR of fine-grained plastic soils
- Authors: Verma, Gaurav , Kumar, Brind , Kumar, Chintoo , Ray, Arunava , Khandelwal, Manoj
- Date: 2023
- Type: Text , Journal article
- Relation: Arabian Journal for Science and Engineering Vol. 48, no. 10 (2023), p. 13901-13927
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- Description: California bearing ratio (CBR) test is one of the comprehensive tests used for the last few decades to design the pavement thickness of roadways, railways and airport runways. Laboratory-performed CBR test is considerably rigorous and time-taking. In a quest for an alternative solution, this study utilizes novel computational approaches, including the kernel ridges regression, K-nearest neighbor and Gaussian process regression (GPR), to predict the soaked CBR value of soils. A vast quantity of 1011 in situ soil samples were collected from an ongoing highway project work site. Two data divisional approaches, i.e., K-Fold and fuzzy c-means (FCM) clustering, were used to separate the dataset into training and testing subsets. Apart from the numerous statistical performance measurement indices, ranking and overfitting analysis were used to identify the best-fitted CBR prediction model. Additionally, the literature models were also tried to validate through present study datasets. From the results of Pearson’s correlation analysis, Sand, Fine Content, Plastic Limit, Plasticity Index, Maximum Dry Density and Optimum Moisture Content were found to be most influencing input parameters in developing the soaked CBR of fine-grained plastic soils. Experimental results also establish the proficiency of the GPR model developed through FCM and K-Fold data division approaches. The K-Fold data division approach was found to be helpful in removing the overfitting of the models. Furthermore, the predictive ability of any model is considerably influenced by the geological location of the soils/materials used for the model development. © 2023, The Author(s).
Application of various robust techniques to study and evaluate the role of effective parameters on rock fragmentation
- Authors: Mehrdanesh, Amirhossein , Monjezi, Masoud , Khandelwal, Manoj , Bayat, Parichehr
- Date: 2023
- Type: Text , Journal article
- Relation: Engineering with Computers Vol. 39, no. 2 (2023), p. 1317-1327
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- Description: In this paper, an attempt has been made to implement various robust techniques to predict rock fragmentation due to blasting in open pit mines using effective parameters. As rock fragmentation prediction is very complex and complicated, and due to that various artificial intelligence-based techniques, such as artificial neural network (ANN), classification and regression tree and support vector machines were selected for the modeling. To validate and compare the prediction results, conventional multivariate regression analysis was also utilized on the same data sets. Since accuracy and generality of the modeling is dependent on the number of inputs, it was tried to collect enough required information from four different open pit mines of Iran. According to the obtained results, it was revealed that ANN with a determination coefficient of 0.986 is the most precise method of modeling as compared to the other applied techniques. Also, based on the performed sensitivity analysis, it was observed that the most prevailing parameters on the rock fragmentation are rock quality designation, Schmidt hardness value, mean in-situ block size and the minimum effective ones are hole diameter, burden and spacing. The advantage of back propagation neural network technique for using in this study compared to other soft computing methods is that they are able to describe complex and nonlinear multivariable problems in a transparent way. Furthermore, ANN can be used as a first approach, where much knowledge about the influencing parameters are missing. © 2021, The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.
Applications of Computed Tomography (CT) in environmental soil and plant sciences
- Authors: Zhang, Huan , He, Hailong , Gao, Yanjun , Mady, Ahmed , Filipović, Vilim , Dyck, Miles , Lv, Jialong , Liu, Yang
- Date: 2023
- Type: Text , Journal article , Review
- Relation: Soil and Tillage Research Vol. 226, no. (2023), p.
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- Description: Computed tomography (CT) in combination with advanced image processing can be used to non-invasively and non-destructively visualize complex interiors of living and non-living media in 2 and 3-dimensional space. In addition to medical applications, CT has also been widely used in soil and plant science for visual and quantitative descriptions of physical, chemical, and biological properties and processes. The technique has been used successfully on numerous applications. However, with a rapidly evolving CT technologies and expanding applications, a renewed review is desirable. Only a few attempts have been made to collate and review examples of CT applications involving the integrated field of soil and plant research in recent years. Therefore, the objectives of this work were to: (1) briefly introduce the basic principles of CT and image processing; (2) identify the research status and hot spots of CT using bibliometric analysis based on Web of Science literature over the past three decades; (3) provide an overall review of CT applications in soil science for measuring soil properties (e.g., porous soil structure, soil components, soil biology, heat transfer, water flow, and solute transport); and (4) give an overview of applications of CT in plant science to detect morphological structures, plant material properties, and root-soil interaction. Moreover, the limitations of CT and image processing are discussed and future perspectives are given. © 2022 Elsevier B.V.
Applications of machine learning and deep learning in antenna design, optimization, and selection : a review
- Authors: Sarker, Nayan , Podder, Prajoy , Mondal, M. , Shafin, Sakib , Kamruzzaman, Joarder
- Date: 2023
- Type: Text , Journal article , Review
- Relation: IEEE Access Vol. 11, no. (2023), p. 103890-103915
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- Description: This review paper provides an overview of the latest developments in artificial intelligence (AI)-based antenna design and optimization for wireless communications. Machine learning (ML) and deep learning (DL) algorithms are applied to antenna engineering to improve the efficiency of the design and optimization processes. The review discusses the use of electromagnetic (EM) simulators such as computer simulation technology (CST) and high-frequency structure simulator (HFSS) for ML and DL-based antenna design, which also covers reinforcement learning (RL)-bases approaches. Various antenna optimization methods including parallel optimization, single and multi-objective optimization, variable fidelity optimization, multilayer ML-assisted optimization, and surrogate-based optimization are discussed. The review also covers the AI-based antenna selection approaches for wireless applications. To support the automation of antenna engineering, the data generation technique with computational electromagnetics software is described and some useful datasets are reported. The review concludes that ML/DL can enhance antenna behavior prediction, reduce the number of simulations, improve computer efficiency, and speed up the antenna design process. © 2013 IEEE.
Applications of power electronics in renewable energy systems
- Authors: Abu-Siada, Ahmed , Islam, Syed
- Date: 2023
- Type: Text , Book chapter
- Relation: Power Electronics Handbook Chapter 23 p. 797-843
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- Description: The Kyoto and Paris agreements on global reduction of greenhouse gas emissions have prompted renewed interest in the adoption of clean renewable energy systems worldwide. Many renewable energy technologies have been well developed over the years and become morereliable, and cost-competitive with conventional fuel-based generation. The cost of renewable energy technologies is on a falling trend and is expected to fall further with the increase in demand and production. There are many renewable energy sources (RES) such as biomass, solar, wind, mini-hydro, and tidal power. However, solar and wind energy systems make use of advanced power electronics technologies, and therefore, the focus in this chapter will be on solar photovoltaic and wind power systems. © 2024 Elsevier Inc. All rights reserved.
Apprenticeships : the problem of attractiveness and the hindrance of heterogeneity
- Authors: Smith, Erica
- Date: 2023
- Type: Text , Journal article
- Relation: International Journal of Training and Development Vol. 27, no. 1 (2023), p. 18-38
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- Description: This paper examines a question posed in 2019 in the International Journal on Training and Development: ‘How do we solve a problem like apprenticeship?’ Data sources covering a substantial number of countries are used to present findings on, and analyse, initiatives that have been implemented or that have been considered, and then to develop some analytical constructs to help address the question. Fundamental issues such as the status of vocational education and training and the status of apprenticed occupations are important, but the nature of the apprenticeship arrangements, within countries and within industries are also major factors affecting perceived attractiveness. The paper therefore argues that the heterogeneity of apprenticeship systems and arrangements is a major barrier to solving the attractiveness problem. Moreover, the heterogeneity of potential apprenticeship applicants means that marketing campaigns or other efforts to attract more, and higher quality, apprentices need to be cognisant of individuals’ backgrounds, characteristics, and aspirations. Some tentative ways of addressing these matters are presented, but the conclusion is that the topic needs large-scale research. © 2022 The Authors. International Journal of Training and Development published by Brian Towers (BRITOW) and John Wiley & Sons Ltd.
Artificial intelligence enabled digital twin for predictive maintenance in industrial automation system : a novel framework and case study
- Authors: Siddiqui, Mustafa , Kahandawa, Gayan , Hewawasam, Hasitha
- Date: 2023
- Type: Text , Conference paper
- Relation: 2023 IEEE International Conference on Mechatronics, ICM 2023, Leicestershire UK, 15-17 March 2023, Proceedings - 2023 IEEE International Conference on Mechatronics, ICM 2023
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- Description: Industrial automation systems are excessively used in advanced manufacturing environments. These systems are always prone to failure which not only disturbs smooth manufacturing operations but can also cause injuries to operators. Therefore, in this research, a novel predictive maintenance algorithm is proposed that can be used to detect anomalies in the automation system to avoid asset failure. Artificial Intelligence enabled Digital Twin model was used to detect early anomalies to avoid catastrophic effects of equipment failure. Real-time sensor data were used to validate the proposed novel algorithm. The data were recorded via sensors mounted on the physical system. This paper presents the effectiveness of the proposed algorithm to detect anomalies in industrial automation systems under faulty conditions. © 2023 IEEE.
Assembling more-than-human stories: outdoor environmental education as a co-production
- Authors: Jukes, Scott , Reeves, Ya
- Date: 2023
- Type: Text , Book chapter
- Relation: Learning to confront ecological precarity : engaging with more-than-human worlds Chapter 4 p. 51-74
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- Description: This chapter draws upon pedagogical experimentation on a ski-touring journey in the Australian Alps. The aim of the chapter is to build upon place-responsive pedagogies in OEE with insight from new materialist and posthumanist theory. The chapter focusses on the generative potential of considering co-productions and assemblages that include the materiality of a more-than-human world. Combining place-responsive and new materialist ideas, the concept of more-than-human stories is offered as a pedagogical strategy that may challenge anthropocentrism and develop different ways of thinking about and with more-than-human places. An example of these ideas in practice is offered, where Ya, an undergraduate student, presents her more-than-human story—One Single Moment—a picture-story book created on the ski-touring journey. Following her picture-story book, she maps the conditions of possibility, the various pedagogical influences that led to the creation of One Single Moment. The aim through this chapter is to offer methodological and pedagogical insight into using new materialist theories in creative and productive ways. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
Assessment of powered mobility device use among older australians in residential aged care facilities
- Authors: Dickson, Natalie
- Date: 2023
- Type: Text , Thesis , Masters
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- Description: Autonomous mobility is fundamental for older Australians to participate in the activities that occupy and inspire daily life. Should a mobility difficulty arise, a powered mobility device (PMD) can assist to supplement or restore mobility, choice, and control. A PMD continues to be a valued resource once a person moves into residential aged care. However, increasing frailty among people within this group means that incidents can result in serious injury for PMD users or others living, visiting, or working in this environment. Guidelines for PMD use are available, however, there are no regulations or mandates to seek professional guidance for assessment of competence, equipment prescription, or training. Occupational therapy theory and practice can support all parts of this process. This thesis presents a three-part study using a mixed methods approach to (i) examine PMD use related incidents and injuries within residential aged care, (ii) to evaluate existing measurement tools, and (iii) to develop and undertake initial validation of a new screening tool developed for residents who use PMDs, based on classical test theory (De Vellis, 2006). The new screening tool will address a gap identified among screening tools for PMD capacity and performance skills specific to this population, to improve the balance between much needed autonomy and safety for all stakeholders.
- Description: Master of Health (Research)
Association of constipation with increased risk of hypertension and cardiovascular events in elderly Australian patients
- Authors: Judkins, Courtney , Wang, Yutang , Jelinic, Maria , Bobik, Alex , Vinh, Antony , Sobey, Christopher , Drummond, Grant
- Date: 2023
- Type: Text , Journal article
- Relation: Scientific Reports Vol. 13, no. 1 (2023), p.
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- Description: The association between constipation and cardiovascular risk is unclear. This population-level matched cohort study compared the association of constipation with hypertension and incident cardiovascular events in 541,172 hospitalized patients aged
Association of fear of negative evaluation with performance anxiety : mediation by negative self-statements and moderation by positive self-statements during performance in adults
- Authors: Gomez, Rapson , Watson, Shaun , Brown, Taylor
- Date: 2023
- Type: Text , Journal article
- Relation: Journal of Psychopathology and Behavioral Assessment Vol. 45, no. 3 (2023), p. 650-658
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- Description: Using individual differences constructs, the current study used cross-sectional data to examine the mediating role of negative self-statements during public speaking on the relationship between fear of negative evaluation and public speaking anxiety (a type of performance anxiety), and how this relationship was moderated by positive self-statements during public performance. The sample comprised 319 adults (men = 105, women = 214) from the general Australian community, with ages ranging from 18 years to 65 years. All participants completed questionnaires covering the different study variables. The findings showed that there was partial mediation by negative self-statements on the relationship between fear of negative evaluation and performance anxiety. There were also moderation effects by positive self-statements for this relationship. Additionally, moderation by positive self-statements was evident at all levels of positive self-statements. The theoretical and clinical implications of the findings for public speaking anxiety are discussed. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Associations between smartphone keystroke metadata and mental health symptoms in adolescents: findings from the future proofing study
- Authors: Braund, Taylor , O'Dea, Bridianne , Bal, Debopriyo , Maston, Kate , Larsen, Mark , Werner-Seidler, Aliza , Tillman, Gabriel , Christensen, Helen
- Date: 2023
- Type: Text , Journal article
- Relation: JMIR Mental Health Vol. 10, no. (2023), p.
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- Description: Background: Mental disorders are prevalent during adolescence. Among the digital phenotypes currently being developed to monitor mental health symptoms, typing behavior is one promising candidate. However, few studies have directly assessed associations between typing behavior and mental health symptom severity, and whether these relationships differs between genders. Objective: In a cross-sectional analysis of a large cohort, we tested whether various features of typing behavior derived from keystroke metadata were associated with mental health symptoms and whether these relationships differed between genders. Methods: A total of 934 adolescents from the Future Proofing study undertook 2 typing tasks on their smartphones through the Future Proofing app. Common keystroke timing and frequency features were extracted across tasks. Mental health symptoms were assessed using the Patient Health Questionnaire-Adolescent version, the Children's Anxiety Scale-Short Form, the Distress Questionnaire 5, and the Insomnia Severity Index. Bivariate correlations were used to test whether keystroke features were associated with mental health symptoms. The false discovery rates of P values were adjusted to q values. Machine learning models were trained and tested using independent samples (ie, 80% train 20% test) to identify whether keystroke features could be combined to predict mental health symptoms. Results: Keystroke timing features showed a weak negative association with mental health symptoms across participants. When split by gender, females showed weak negative relationships between keystroke timing features and mental health symptoms, and weak positive relationships between keystroke frequency features and mental health symptoms. The opposite relationships were found for males (except for dwell). Machine learning models using keystroke features alone did not predict mental health symptoms. Conclusions: Increased mental health symptoms are weakly associated with faster typing, with important gender differences. Keystroke metadata should be collected longitudinally and combined with other digital phenotypes to enhance their clinical relevance. ©Taylor A Braund, Bridianne O'Dea, Debopriyo Bal, Kate Maston, Mark Larsen, Aliza Werner-Seidler, Gabriel Tillman, Helen Christensen.
Associations of reinforcement sensitivity theory personality constructs, cognitive biases for negative and threatening social information, and social anxiety
- Authors: Gomez, Rapson , Watson, Shaun , Stavropoulos, Vasileios , Typuszak, Natasha
- Date: 2023
- Type: Text , Journal article
- Relation: Current Psychology Vol. 42, no. 17 (2023), p. 14159-14170
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- Description: Background: Using Kimbrel’s (2008) mediation model of social anxiety as a theoretical framework, the primary aim of the current study was to use path analysis to examine how biased cognitions for negative and threatening social information mediated the relationships for the personality constructs of the reinforcement sensitivity theory (RST) with generalized and specific social anxiety (target mediation model). A secondary aim was to examine reverse mediation testing (RMT) models, in which the social anxiety constructs were viewed as mediating the relations between RST constructs and biased social cognition constructs. Methods: A total of 302 (males = 101, females = 201) adults (age ranging from 18 to 65 years) from the general community completed questionnaires measuring the behavioral inhibition system/fight-flight-freeze system (BIS/FFFS), the behavioral approach system (BAS), social comparison (SC), social ineptness (SI), and generalized and specific social anxiety. Results: The findings for the target mediation model showed that there was support for indirect effects for the BIS/FFFS and the BAS on generalized and specific social anxiety through SC and SI. For the RMT model, there was support for the indirect effect of the RST constructs with SI through generalized social anxiety. However, specific generalized anxiety did not mediate the relations of the BIS/FFFS and BAS to SC. Conclusions: The findings highlight the importance of cognitive therapy that targets SC and SI in the treatment of social anxiety, especially among those with high BIS/FFFS and low BAS. © 2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
Associations of UPPS-P negative urgency and positive urgency with ADHD dimensions : moderation by lack of premeditation and lack of perseverance in men and women
- Authors: Gomez, Rapson , Watson, Shaun
- Date: 2023
- Type: Text , Journal article
- Relation: Personality and Individual Differences Vol. 206, no. (2023), p.
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- Description: The study examined how dimensions of Whiteside and Lynam's (2003) UPPS-P model of impulsivity (lack of premeditation, lack of perseverance, negative urgency, and positive urgency) were associated directly and interactively with the attention-deficit/hyperactivity disorder (ADHD) dimensions of inattention and hyperactivity/impulsivity in men and women separately. A total of 550 adults (men = 147, women = 403), ages ranging from 18 to 65 years, from the general community completed questionnaires covering the study variables. For women, there was support for the additive model for the prediction of inattention, and both inattention and hyperactivity/impulsivity were predicted by lack of premeditation × positive urgency. For men, inattention was predicted by lack of premeditation × negative urgency, and lack of premeditation × positive urgency. In all instances, low levels of premeditation reduced the relationships between the urgency dimensions and ADHD dimensions. The theoretical and clinical implications of the findings are discussed. © 2023 The Author(s)
Attributes of expert anticipation should inform the design of virtual reality simulators to accelerate learning and transfer of skill
- Authors: Müller, Sean , Dekker, Evan , Morris-Binelli, Khaya , Piggott, Benjamin , Hoyne, Gerard , Christensen, Wayne , Fadde, Peter , Zaichkowsky, Leonard , Brenton, John , Hambrick, David
- Date: 2023
- Type: Text , Journal article
- Relation: Sports Medicine Vol. 53, no. 2 (2023), p. 301-309
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- Description: Expert sport performers cope with a multitude of visual information to achieve precise skill goals under time stress and pressure. For example, a major league baseball or cricket batter must read opponent variations in actions and ball flight paths to strike the ball in less than a second. Crowded playing schedules and training load restrictions to minimise injury have limited opportunity for field-based practice in sports. As a result, many sports organisations are exploring the use of virtual reality (VR) simulators. Whilst VR synthetic experiences can allow greater control of visual stimuli, immersion to create presence in an environment, and interaction with stimuli, compared to traditional video simulation, the underpinning mechanisms of how experts use visual information for anticipation have not been properly incorporated into its content design. In themes, this opinion article briefly explains the mechanisms underpinning expert visual anticipation, as well as its learning and transfer, with a view that this knowledge can better inform VR simulator content design. In each theme, examples are discussed for improved content design of VR simulators taking into consideration its advantages and limitations relative to video simulation techniques. Whilst sport is used as the exemplar, the points discussed have implications for skill learning in other domains, such as military and law enforcement. It is hoped that our paper will stimulate improved content design of VR simulators for future research and skill enhancement across several domains. © 2022, The Author(s). Correction to: Sports Medicine https://doi.org/10.1007/s40279-022-01735-7, Page 1: The affiliation for Evan Dekker, which previously read: 2Academic Services and Support Directorate, University Drive, Mt. Helen, Ballarat, VIC 3350, Australia has now been updated to read: Academic Services and Support Directorate, Federation University, University Drive, Mt. Helen, Ballarat, VIC 3350, Australia. The original article has been corrected.
Australian men’s sheds and their role in the health and wellbeing of men : a systematic review
- Authors: Barbagallo, Michael , Brito, Sara , Porter, Joanne
- Date: 2023
- Type: Text , Journal article
- Relation: Health & Social care in the Community Vol. 2023, no. (2023), p. 1-9
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- Description: Men’s sheds are a community-based organisation that allows a space for a community of men to interact and engage with one another with hands-on activities. As such, men’s sheds form an appropriate setting to deliver health and wellbeing initiatives. This review aims to understand the role of Australian men’s sheds with respect to the health and wellbeing of their male participants. This review was conducted in accordance with the preferred reporting items for systematic reviews and meta-analysis (PRISMA) following a three-step process of planning, conducting, and reporting the review. All three authors reviewed all the eligible articles. There was significant methodological heterogeneity between the sources identified (n = 11). A narrative synthesis identified three key themes: health promotion, wellbeing, and socialisation intergenerational mentoring and Aboriginal and Torres Strait Islander men’s health. Men’s sheds serve as ideal locations for the delivery of initiatives that can positively impact on the health and wellbeing of their male participants. Furthermore, research is needed to explore the implementation and evaluation of these health and wellbeing initiatives for men in their respective communities.
Australian nursing students’ perceptions of being a nurse : a mixed methods study
- Authors: Allen, Louise
- Date: 2023
- Type: Text , Thesis , PhD
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- Description: Background Nursing students often enter nursing programs with idealistic, altruistic perceptions of what it means to be a nurse. Over time, however, many discover that these perceptions are naïve and unrealistic. Nursing is a demanding profession that requires knowledge, skill and emotional resilience in often demanding and challenging situations that can influence emotional intelligence. Therefore, an early and realistic understanding of professional requirements may reduce transition shock and attrition rates. Aim The aim of this thesis is to explore Bachelor of Nursing (BN) students’ perceptions of being a nurse in Australia. Methods This study used an explanatory sequential mixed methods design. The 34-item Perceptions of a Registered Nurse (PRN) survey tool was developed using a Nominal Group Technique and validated with a sample of 797 participants across three universities and states. Descriptive and inferential statistical analysis was incorporated as applicable. In addition, online semi-structured interviews with 23 nursing students (n = 23) explored their perceptions of a nurse in detail, with a thematic analysis of outcomes. Results Demographic variables influenced perceptions. There were significant differences in item-by-item perceptions related to ‘primary language spoken at home’ (13/34 items; p < .04), ‘university of study’ (10/34 items; p
- Description: Doctor of Philosophy