We read the invited review on sustainable medicines use in clinicalpractice by Adeyeye et al.1and would like to congratulate the authorswith the captivating way in which they used scientific facts combinedwith very practical solutions to convey their call to action. This call isprimarily addressed to the NHS, which the authors suspect will reso-nate with other health systems. While we fully agree with necessityof this top-down approach, we additionally believe that there is muchto be gained by making future prescribers more knowledgeable andaware about the impact they have on planetary health. The articleremains very brief about next generation of healthcare professionalsby quoting the General Medical Council's statement that“newly quali-fied doctors must be able to apply the principles, methods and knowl-edge of population health and the improvement of health andsustainable healthcare to medical practice.”2However, the underlyingquestion—how we effectively train future healthcare professionals inthese attitudes underpinned by knowledge—is not addressed...........
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Early detection of reading problems is important to prevent an enduring lag in reading skills. We studied the relationship between speed of word recognition (after six months of grade 1 education) and four kindergarten pre-literacy skills: letter knowledge, phonological awareness and naming speed for both digits and letters. Our sample consisted of 178 pupils divided over seven classes. In agreement with the literature, we found that all four kindergarten tests were related to speed of word recognition in grade 1. We also performed a multiple regression analysis with a set of background variables and the four kindergarten tests. The model explained 53% of the variance in speed of word recognition. However, only letter knowledge and naming speed for digits had a significant direct effect. Our conclusion is, nevertheless, that all four kindergarten tests should be used to identify children at risk for reading problems.
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Teacher knowledge guides a teacher's behaviour in the classroom. Teacher knowledge for technology education is generally assumed to play an important role in affecting pupils' learning in technology. There are an abundant number of teacher knowledge models that visualise different domains of teacher knowledge, but clear empirical evidence on how these domains interact is lacking. Insights into the interaction of teacher knowledge domains could be useful for teacher training. In this study, the hypothesised relations between different domains of teacher knowledge for technology education in primary schools were empirically investigated. Subject matter knowledge, pedagogical content knowledge, attitude, and self-efficacy were measured with tests and questionnaires. Results from a path analysis showed that subject matter knowledge is an important prerequisite for both pedagogical content knowledge and self-efficacy. Subsequently, teachers' self-efficacy was found to have a strong influence on teachers' attitude towards technology. Based on the findings in this study, it is recommended that teacher training should first of all focus on the development of teachers' subject matter knowledge and pedagogical content knowledge. This knowledge will positively affect teachers' confidence in teaching and, in turn, their attitude towards the subject. More confidence in technology teaching and a more positive attitude are expected to increase the frequency of technology education, which consequently increases teaching experience and thereby stimulates the development of teachers' pedagogical content knowledge. This circle of positive reinforcement will eventually contribute to the quality of technology education in primary schools.
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Introduction: Nowadays the Western mental health system is in transformation to recovery-oriented and trauma informed care in which experiential knowledge becomes incorporated. An important development in this context is that traditional mental health professionals came to the fore with their lived experiences. From 2017 to 2021, a research project was conducted in the Netherlands in three mental health organizations, focussing on how service users perceive the professional use of experiential knowledge. Aims: This paper aims to explore service users’ perspectives regarding their healthcare professionals’ use of experiential knowledge and the users’ perceptions of how this contributes to their personal recovery. Methods: As part of the qualitative research, 22 service users were interviewed. A thematic analysis was employed to derive themes and patterns from the interview transcripts. Results: The use of experiential knowledge manifests in the quality of a compassionate user-professional relationship in which personal disclosures of the professional’s distress and resilience are embedded. This often stimulates users’ recovery process. Conclusions: Findings suggest that the use of experiential knowledge by mental health professionals like social workers, nurses and humanistic counselors, demonstrates an overall positive value as an additional (re)source.
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Objective: This article explores the use of experiential knowledge by traditional mental health professionals and the possible contribution to the recovery of service users. Design and Methods: The review identified scientific publications from a range of sources and disciplines. Initial searches were undertaken in databases PsycINFO, PubMed, and Cochrane using specific near operator search strategies and inclusion and exclusion criteria. Results: Fifteen articles were selected. These were published in a broad range of mental health and psychology journals reporting research in western countries. In the selected articles, a varying conceptualization of experiential knowledge was found, differing from therapeutic self-disclosure embedded in psychotherapeutic contexts to a relational and destigmatizing use in recovery-oriented practices. Nurses and social workers especially are speaking out about their own experiences with mental health distress. Experiential knowledge stemming from lived experience affects the professional’s identity and the system. Only a few studies explored the outcomes for service users’ recovery. Conclusion: A small body of literature reports about the use of experiential knowledge by mental health professionals. The mental health system is still in transformation to meaningfully incorporate the lived experience perspective from traditional professionals. There is little data available on the value for the recovery of service users. This data indicates positive outcomes, such as new understandings of recovery, feeling recognized and heard, and increased hope, trust, and motivation. More research about the meaning of experiential knowledge for the recovery of service users is desirable.
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Metaphors are common phenomena intellectual capital and knowledge management theories and practice. An important question to ask is: what are the ‗best‘ metaphors we can use in our theorizing on intellectual capital and knowledge management? This paper addresses the question of the aptness of knowledge related metaphors. It concludes that the aptness of metaphorical expressions depends on three factors: the richness of the semantic field of the source domain, the validity of the mapping, and the ideological implications of the mapping. This conclusion results in a research agenda on the aptness of metaphor in knowledge management and intellectual capital theory and practice.
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According to the International Civil Aviation Organization, the world aviation air traffic has grown by an average yearly rate of 5% over the last thirty years, until the devastating downturn brought on by the COVID crisis of 2020. Regardless of the current situation, there are still a number of issues and challenges that the industry is confronted with, not the least of which are related to sustainability, the conversion to electrical usage, the challenge of increasing propulsion efficiency in conventional propulsion, the digital transformation of the entire ecosystem, etc. In response, system developers and researchers in the field are working on a number of key technologies and methodologies to solve some of these issues. The Sustainable Aviation Research Society (SARES), a global organization that seeks to encourage research in this area and helps disseminate knowledge via conferences and symposia, has been organizing meetings to promote sustainable aviation over the five years. Three of these are the International Symposium on Sustainable Aviation (ISSA), International Symposium on Electric Aviation and Autonomous Systems (ISEAS), and the International Symposium on Aircraft Technology, MRO, and Operations (ISATECH).
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We present a novel architecture for an AI system that allows a priori knowledge to combine with deep learning. In traditional neural networks, all available data is pooled at the input layer. Our alternative neural network is constructed so that partial representations (invariants) are learned in the intermediate layers, which can then be combined with a priori knowledge or with other predictive analyses of the same data. This leads to smaller training datasets due to more efficient learning. In addition, because this architecture allows inclusion of a priori knowledge and interpretable predictive models, the interpretability of the entire system increases while the data can still be used in a black box neural network. Our system makes use of networks of neurons rather than single neurons to enable the representation of approximations (invariants) of the output.
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Universities have become more engaged or entrepreneurial, forging deeper relations with society beyond the economic sphere. To foster, structure, and institutionalize a broader spectrum of engagement, new types of intermediary organizations are created, going beyond the “standard” technology transfer oces, incubators, and science parks. This paper conceptualizes the role of such new-style intermediaries as facilitator, enabler, and co-shaper of university–society interaction, making a distinction between the roles of facilitation, configuration, and brokering. As a case study, the paper presents the Knowledge Mile in Amsterdam as a novel form of hyper local engagement of a university with its urban surroundings that connects the challenges of companies and organisations in the street to a broad range of educational and research activities of the university, as well as to rebrand the street.
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The principal aim of this study is to explore the relations between work domains and the work-related learning of workers. The article is intended to provide insight into the learning experiences of Dutch police officers during the course of their daily work. Interviews regarding actual learning events and subsequent changes in knowledge, skills or attitudes were conducted with police officers from different parts of the country and in different stages of their careers. Interpretative analyses grounded in the notion of intentionality and developmental relatedness revealed how and in what kinds of work domains police officers appear to learn. HOMALS analysis showed work-related learning activities to vary with different kinds of work domains. The implications for training and development involve the role of colleagues in different hierarchical positions for learning and they also concern the utility of the conceptualisation of work-related learning presented here.
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