This study assesses the evolutionary leadership theory and the natural leadership instrument of Van Vugt and Ahuja (2011) in the context of youth elite football. The Evolutionary Leadership Theory is a comprehensive new way of looking at leadership that suggests environmental pressures influence the choice of who becomes the leader. The results revealed that the concept of natural leadership, as measured using the six natural leaders questionnaire, cannot be applied to the context of youth football. The preliminary data showed that natural leadership in youth sport requires a more basic framework of leadership consisting of communication, resources and focus on competition.
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Adverse Outcome Pathways (AOPs) are conceptual frameworks that tie an initial perturbation (molecular initiat- ing event) to a phenotypic toxicological manifestation (adverse outcome), through a series of steps (key events). They provide therefore a standardized way to map and organize toxicological mechanistic information. As such, AOPs inform on key events underlying toxicity, thus supporting the development of New Approach Methodologies (NAMs), which aim to reduce the use of animal testing for toxicology purposes. However, the establishment of a novel AOP relies on the gathering of multiple streams of evidence and infor- mation, from available literature to knowledge databases. Often, this information is in the form of free text, also called unstructured text, which is not immediately digestible by a computer. This information is thus both tedious and increasingly time-consuming to process manually with the growing volume of data available. The advance- ment of machine learning provides alternative solutions to this challenge. To extract and organize information from relevant sources, it seems valuable to employ deep learning Natural Language Processing techniques. We review here some of the recent progress in the NLP field, and show how these techniques have already demonstrated value in the biomedical and toxicology areas. We also propose an approach to efficiently and reliably extract and combine relevant toxicological information from text. This data can be used to map underlying mechanisms that lead to toxicological effects and start building quantitative models, in particular AOPs, ultimately allowing animal-free human-based hazard and risk assessment.
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In the course of our supervisory work over the years, we have noticed that qualitative research tends to evoke a lot of questions and worries, so-called frequently asked questions (FAQs). This series of four articles intends to provide novice researchers with practical guidance for conducting high-quality qualitative research in primary care. By ‘novice’ we mean Master’s students and junior researchers, as well as experienced quantitative researchers who are engaging in qualitative research for the first time. This series addresses their questions and provides researchers, readers, reviewers and editors with references to criteria and tools for judging the quality of qualitative research papers. This second article addresses FAQs about context, research questions and designs. Qualitative research takes into account the natural contexts in which individuals or groups function to provide an in-depth understanding of real-world problems. The research questions are generally broad and open to unexpected findings. The choice of a qualitative design primarily depends on the nature of the research problem, the research question(s) and the scientific knowledge one seeks. Ethnography, phenomenology and grounded theory are considered to represent the ‘big three’ qualitative approaches. Theory guides the researcher through the research process by providing a ‘lens’ to look at the phenomenon under study. Since qualitative researchers and the participants of their studies interact in a social process, researchers influence the research process. The first article described the key features of qualitative research, the third article will focus on sampling, data collection and analysis, while the last article focuses on trustworthiness and publishing.
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This open access book states that the endemic societal faultlines of our times are deeply intertwined and that they confront us with challenges affecting the security and sustainability of our societies. It states that new ways of inhabiting and cultivating our planet are needed to keep it healthy for future generations. This requires a fundamental shift from the current anthropocentric and economic growth-oriented social contract to a more ecocentric and regenerative natural social contract. The author posits that in a natural social contract, society cannot rely on the market or state alone for solutions to grand societal challenges, nor leave them to individual responsibility. Rather, these problems need to be solved through transformative social-ecological innovation (TSEI), which involves systemic changes that affect sustainability, health and justice. The TSEI framework presented in this book helps to diagnose and advance innovation and change across sectors and disciplines, and at different levels of governance. It identifies intervention points and helps formulate sustainable solutions for policymakers, administrators, concerned citizens and professionals in moving towards a more just and equitable society.
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To study the ways in which compounds can induce adverse effects, toxicologists have been constructing Adverse Outcome Pathways (AOPs). An AOP can be considered as a pragmatic tool to capture and visualize mechanisms underlying different types of toxicity inflicted by any kind of stressor, and describes the interactions between key entities that lead to the adverse outcome on multiple biological levels of organization. The construction or optimization of an AOP is a labor intensive process, which currently depends on the manual search, collection, reviewing and synthesis of available scientific literature. This process could however be largely facilitated using Natural Language Processing (NLP) to extract information contained in scientific literature in a systematic, objective, and rapid manner that would lead to greater accuracy and reproducibility. This would support researchers to invest their expertise in the substantive assessment of the AOPs by replacing the time spent on evidence gathering by a critical review of the data extracted by NLP. As case examples, we selected two frequent adversities observed in the liver: namely, cholestasis and steatosis denoting accumulation of bile and lipid, respectively. We used deep learning language models to recognize entities of interest in text and establish causal relationships between them. We demonstrate how an NLP pipeline combining Named Entity Recognition and a simple rules-based relationship extraction model helps screen compounds related to liver adversities in the literature, but also extract mechanistic information for how such adversities develop, from the molecular to the organismal level. Finally, we provide some perspectives opened by the recent progress in Large Language Models and how these could be used in the future. We propose this work brings two main contributions: 1) a proof-of-concept that NLP can support the extraction of information from text for modern toxicology and 2) a template open-source model for recognition of toxicological entities and extraction of their relationships. All resources are openly accessible via GitHub (https://github.com/ontox-project/en-tox).
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Why people conduct different sharing about their travel is unclear. Understudied areas include the roles of tourism activity type, tourist well-being, and social context. Under the framework of construal level theory, three studies which combined secondary data and experiments revealed that: 1) challenging (relaxing) tourism activities lead to more desirability (feasibility) sharing; 2) eudaimonia (hedonia) occupy the dominant position and mediate the relationship between challenging (relaxing) tourism activity and desirability (feasibility) sharing; and 3) social context induces the transformation of the relationship between eudaimonia and hedonia, and has a significant moderating impact on the mechanism of travel experience sharing type. Theoretical and managerial implications of travel experience sharing type and mutual transformation between eudaimonia and hedonia are discussed.
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Through the commodification of nature, the framing of the environment as a ‘natural resource’ or ‘ecosystem service’ has become increasingly prominent in international environmental governance. The economic capture approach is promoted by international organizations such as the United Nations Environmental Program (UNEP) through Reducing Emissions from Deforestation and Forest Degradation (REDD), Payments for Ecosystem Services (PES) and The Economics of Ecosystems and Biodiversity (TEEB). This paper will inquire as to how forest protection is related to issues of social and ecological justice, exploring whether forest exploitation based on the top-down managerial model fosters an unequitable distribution of resources. Both top-down and community-based approaches to forest protection will be critically examined and a more inclusive ethical framework to forest protection will be offered. The findings of this examination indicate the need for a renewed focus on existing examples of good practice in addressing both social and ecological need, as well as the necessity to address the less comfortable problem of where compromise appears less possible. The conclusion argues for the need to consider ecological justice as an important aspect of more socially orientated environmental justice for forest protection. https://doi.org/10.1017/S0376892916000436 https://www.linkedin.com/in/helenkopnina/
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In this article, we elaborate on the role of dialogical learning in identity formation in the context of environmental education. First, we distinguish this kind of learning from conditioning and reproductive learning. We also show that identity learning is not self-evident and we point out the role of emotions. Using Dialogical Self Theory, we then suggest that individuals do not have an “identity hierarchy” but a dialogical self that attaches meaning to experiences in both conscious and unconscious ways. We describe the learning process that enables the dialogical self to develop itself, and we elaborate on the characteristics of a good dialogue. We conclude with some remarks expanding room for a dialogue that would foster identity learning. https://doi.org/10.3390/resources5010011 https://www.linkedin.com/in/helenkopnina/
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In this chapter we move back in time, to when it was not an usance to base our city designs on the natural systems of water and ecology. By the end of the 1980s the dogma of separation of functions, and dividing the city in areas for working, living, leisure and traffic was slowly abandoned and especially the focus on the traffic system, more in particular the car, was leading to uproar. In this timeframe an alternative to apply the principles of nature in urban design was very new and, in the beginning, needed to be conquered on the traditionalists who would pertain using their old-school design standards. In this chapter the development story of Westerpark, and Heilaar-Steenakker is presented. This area in the western outskirts of the city of Breda, in the south of the Netherlands, was one of the first, maybe even the first to use knowledge about the water system, ecological typologies and nature as the basis for urban planning. This article starts with a description in sections two and three of the policy context at national level to illustrate the momentum of change from rationalism towards ecological planning. In section four the policy context in Breda in the early nineties is presented as the context within which the planning of Heilaar-Steenakker (Sect. 8.5) and Westerpark (Sect. 8.6) could be based in a strong sense of the natural processes of ecology and water that formed the landscape in history.
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Abstract of a lecture that was held on the 12th Conference of the European Society for Ecological Economics in June 2017.
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