Within Human Activity Recognition (HAR), there is an insurmountable gap between the range of activities performed in life and those that can be captured in an annotated sensor dataset used in training. Failure to properly handle unseen activities seriously undermines any HAR classifier's reliability. Additionally within HAR, not all classes are equally dissimilar, some significantly overlap or encompass other sub-activities. Based on these observations, we arrange activity classes into a structured hierarchy. From there, we propose Hi-OSCAR: a Hierarchical Open-set Classifier for Activity Recognition, that can identify known activities at state-of-the-art accuracy while simultaneously rejecting unknown activities. This not only enables open-set classification, but also allows for unknown classes to be localized to the nearest internal node, providing insight beyond a binary “known/unknown” classification. To facilitate this and future open-set HAR research, we collected a new dataset: NFI_FARED. NFI_FARED contains data from multiple subjects performing nineteen activities from a range of contexts, including daily living, commuting, and rapid movements, which is fully public and available for download.
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Abstract Background: To address the lack of social interaction and meaningful activities for persons with dementia (PWD) in nursing homes an artistic Photo-Activity was designed. The present study aims to develop a digital version of the Photo-Activity and to investigate its implementation and impact on nursing home residents with advanced dementia, and their (in)formal carers. Methods: First, within a user-participatory design, a digital-app version of the Photo-Activity will be developed and pilot-tested, in co-creation with (in)formal carers and PWD. Next, the feasibility and effectiveness of the Photo-Activity versus a control activity will be explored in a randomized controlled trial with nursing home residents (N=90), and their (in)formal carers. Residents will be offered the Photo- Activity or the control activity by (in)formal carers during one month. Measurements will be conducted by independent assessors at baseline (T0), after one month (T1) and at follow up, two weeks after T1 (T2). Qualitative and quantitative methods will be used to investigate the effects of the intervention on mood, social interaction and quality of life of the PWD, sense of competence of informal carers, empathy and personal attitude of the formal carers, and quality of the relationship between the PWD, and their (in)formal carers. In addition, a process evaluation will be carried out by means of semi-structured interviews with the participating residents and (in)formal carers. Finally, an implementation package based on the process evaluation will be developed, allowing the scaling up of the intervention to other care institutions. Discussion: Results of the trial will be available for dissemination by Spring 2023. The digital Photo-Activity is expected to promote meaningful connections between the resident with dementia, and their (in)formal carers through the facilitation of person-centered conversations. Trial registration: Netherlands Trial Register: NL9219; registered (21 January 2021); NTR (trialregister.nl)
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Abstract Background: To address the lack of social interaction and meaningful activities for persons with dementia (PWD) in nursing homes an artistic Photo-Activity was designed. The present study aims to develop a digital version of the Photo-Activity and to investigate its implementation and impact on nursing home residents with advanced dementia, and their (in)formal carers. Methods: First, within a user-participatory design, a digital-app version of the Photo-Activity will be developed and pilot-tested, in co-creation with (in)formal carers and PWD. Next, the feasibility and effectiveness of the Photo-Activity versus a control activity will be explored in a randomized controlled trial with nursing home residents (N=90), and their (in)formal carers. Residents will be offered the Photo- Activity or the control activity by (in)formal carers during one month. Measurements will be conducted by independent assessors at baseline (T0), after one month (T1) and at follow up, two weeks after T1 (T2). Qualitative and quantitative methods will be used to investigate the effects of the intervention on mood, social interaction and quality of life of the PWD, sense of competence of informal carers, empathy and personal attitude of the formal carers, and quality of the relationship between the PWD, and their (in)formal carers. In addition, a process evaluation will be carried out by means of semi-structured interviews with the participating residents and (in)formal carers. Finally, an implementation package based on the process evaluation will be developed, allowing the scaling up of the intervention to other care institutions. Discussion: Results of the trial will be available for dissemination by Spring 2023. The digital Photo-Activity is expected to promote meaningful connections between the resident with dementia, and their (in)formal carers through the facilitation of person-centered conversations. Trial registration: Netherlands Trial Register: NL9219; registered (21 January 2021); NTR (trialregister.nl)
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This article will briefly discuss the implications of the recognition of ecological justice in relation to environmental education (EE) and education for sustainable development (ESD). It is argued that the present conception of environment taught through EE and ESD negates the subjectivity of non-human species and ignores the ethical imperatives of ecological justice. Evocating environmental ethics, major directions integrating ecological justice into EE and ESD are proposed. This is an Accepted Manuscript of an article published by Taylor & Francis in "Chinese Journal of Population, Resources and Environment" on 09/23/14, available online: https://doi.org/10.1080/10042857.2014.933498 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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Over the last decade, sport and physical activity have become increasingly recognised and implemented as tools to foster social cohesion in neighbourhoods, cities and communities around Europe. As a result, numerous programmes have emerged that attempt to enhance social cohesion through a variety of sport-based approaches (Moustakas, Sanders, Schlenker, & Robrade, 2021; Svensson & Woods, 2017). However, despite this boom in sport and social cohesion, current definitions and understandings of social cohesion rarely take into account the needs, expectations or views of practitioners, stakeholders and, especially, participants on the ground (Raw, Sherry, & Rowe, 2021). Yet, to truly foster broad social outcomes like social cohesion, there is increasing recognition that programmes must move beyond interventions that only focus on the individual level, and instead find ways to work with and engage a wide array of stakeholders and organisations (Hartmann & Kwauk, 2011; Moustakas, 2022). In turn, this allows programmes to respond to community needs, foster engagement, deliver more sustainable outcomes, and work at both the individual and institutional levels. The Living Lab concept - which is distinguished by multi-stakeholder involvement, user engagement, innovation and co-creation within a real-life setting - provides an innovative approach to help achieve these goals. More formally, Living Labs have been defined as “user-centred, open innovation ecosystems based on a systematic user co-creation approach, integrating research and innovation processes in real-life communities and settings” (European Network of Living Labs, 2021). Thus, this can be a powerful approach to engage a wide array of stakeholders, and create interventions that are responsive to community needs. As such, the Sport for Social Cohesion Lab (SSCL) project was conceived to implement a Living Lab approach within five sport for social cohesion programmes in four different European countries. This approach was chosen to help programmes directly engage programme participants, generate understanding of the elements that promote social cohesion in a sport setting and to co-create activities and tools to explore, support and understand social cohesion within these communities. The following toolkit reflects our multi-national experiences designing and implementing Living Labs across these various contexts. Our partners represent a variety of settings, from schools to community-based organisations, and together these experiences can provide valuable insights to other sport (and non-sport) organisations wishing to implement a Living Lab approach within their contexts and programmes. Thus, practitioners and implementers of community-based programmes should be understood as the immediate target group of this toolkit, though the insights and reflections included here can be of relevance for any individual or organisation seeking to use more participatory approaches within their work. In particular, in the coming sections, this toolkit will define the Living Lab concept more precisely, suggest some steps to launch a Living Lab, and offer insights on how to implement the different components of a Living Lab.
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Artificial intelligence (AI) is a technology which is increasingly being utilised in society and the economy worldwide, but there is much disquiet over problematic and dangerous implementations of AI, or indeed even AI itself deciding to do dangerous and problematic actions. These developments have led to concerns about whether and how AI systems currently adhere to and will adhere to ethical standards, stimulating a global and multistakeholder conversation on AI ethics and the production of AI governance initiatives. Such developments form the basis for this chapter, where we give an insight into what is happening in Australia, China, the European Union, India and the United States. We commence with some background to the AI ethics and regulation debates, before proceedings to give an overview of what is happening in different countries and regions, namely Australia, China, the European Union (including national level activities in Germany), India and the United States. We provide an analysis of these country profiles, with particular emphasis on the relationship between ethics and law in each location. Overall we find that AI governance and ethics initiatives are most developed in China and the European Union, but the United States has been catching up in the last eighteen months.
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This paper outlines the main differences between ecocentric and anthropocentric positions in regard to justice, exploring university students’ perceptions of the concepts of social and ecological justice and reflecting on how values assigned to humans and the environment are balanced and contested. Putting justice for people before the environment is based on evidence that biological conservation can disadvantage local communities; the idea that the very notion of justice is framed by humans and therefore remains a human issue; and the assumption that humans have a higher value than other species. Putting justice for the environment first assumes that only an ecocentric ethic guarantees protection of all species, including humans, and therefore ecological justice already guarantees social justice. This research shows that many students emphasize the convergence of social and ecological justice where human and environmental interests correspond. While not wishing to diminish the underlying assumptions of either ethical orientation, the common “enemy” of both vulnerable communities and nonhuman nature, as identified by students, is an ideology of economic growth and industrial development. http://dx.doi.org/10.13135/2384-8677/2688 LinkedIn: https://www.linkedin.com/in/helenkopnina/
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This article gives information on an international ring trial of the epidermal-equivalent (EE) sensitizer potency assay.
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The report from Inholland University is dedicated to the impacts of data-driven practices on non-journalistic media production and creative industries. It explores trends, showcases advancements, and highlights opportunities and threats in this dynamic landscape. Examining various stakeholders' perspectives provides actionable insights for navigating challenges and leveraging opportunities. Through curated showcases and analyses, the report underscores the transformative potential of data-driven work while addressing concerns such as copyright issues and AI's role in replacing human artists. The findings culminate in a comprehensive overview that guides informed decision-making in the creative industry.
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We summarize what we assess as the past year's most important findings within climate change research: limits to adaptation, vulnerability hotspots, new threats coming from the climate–health nexus, climate (im)mobility and security, sustainable practices for land use and finance, losses and damages, inclusive societal climate decisions and ways to overcome structural barriers to accelerate mitigation and limit global warming to below 2°C.
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