For centuries, natural gas has been one of humanity’s main energy sources. The gas sector is still heavily reliant on natural gas production; however, as natural gas fields contain only a finite quantity of gas, its continued extraction is leading to the resource’s depletion. Furthermore, natural gas production has become a subject of debate, with many considering continued utilisation incompatible with the achievement of international and European climate goals. The need for alternative gases that are less damaging to the environment is becoming increasingly evident. Biomethane has shown itself to be a reliable alternative to natural gas, and if sourced and manufactured responsibly results in no new CO2 emissions. Another alternative, hydrogen, can, through the process of methanisation, be converted into synthetic natural gas (SNG). This chapter discusses the legal aspects of the production and use of biomethane, hydrogen and SNG.
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Formal elements are often used in art therapy assessment. The assumption is that formal elements are observable aspects of the art product that allow reliable and valid assessment of clients’ mental health. Most of the existing art therapy assessment instruments are based on clinical expertise. Therefore, it is not clear to what degree these instruments are restricted to formal elements. Other aspects might also be included, such as clinical expertise of the therapist. This raises the question of whether and how formal elements as observable aspects of the art product are related to clients’ mental health. To answer this question, four studies are presented that look at: (1) a meta-theoretical description of formal elements; (2) operationalization of these formal elements so they can be analyzed reliably in clients’ art products; (3) establishment of reliable and clinically relevant formal elements; (4) the relationship between formal elements and adult clients’ mental health. Results show that the combination of the formal elements “movement,” “dynamic,” and “contour” are significantly interrelated and related to clients’ mental health, i.e., psychopathology, psychological flexibility, experiential avoidance, and adaptability. These findings give insight in the diagnostic value of art products and how they may add to clients’ verbal expression and indicate their potential to benefit from therapy.
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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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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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This paper describes a concept where products are equipped with agents that will assist in recycling and repairing the product. These so-called product agents represent the product in cyberspace and are capable to negotiate with other products in case of recycling or repair. Some product agents of broken products will offer spare parts, other agents will look for spare parts to repair a broken product. On the average this will enlarge the lifetime of a product and in some cases prevent wasting resources. Apart from reuse of spare parts these agents will also help to locate rare elements in a device, so these elements can be recycled more easily.
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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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Innovation seems to be the most important element of activities of companies to stay vital in a very competitive international market. Innovation is the process of developing products or services in an organisation for a market. Especially small and medium-sized companies, for which it is difficult to invest in innovation research and development, need to be provided with young professionals to help them make the right decisions on innovation development. At the moment higher professional education in the Netherlands is not preparing students enough as future professionals in SMEs, for the task if initiating and to developing innovations in these SME's. Therefore it is needed that higher professional education comprehensively implement these innovation competences in its curriculum. At the Fontys University of Applied Sciences in Eindhoven, the Netherlands, innovation has become an important element in teaching students innovation competences. In 2007/8 a pilot has been introduced the department of Engineering with first year students in a multidisciplinary and action-based setting. First year students of Mechanical and Electrical Engineering in a 5-credit programme try to find new patentable products. The outcome of this first try-out was that students realized the importance of innovation for the profession and they were eager to work in this innovative setting. Some adjustments in the education will be made as there are: timetable and project settings to timetables and schedules will have to be made.
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Biodiversity, including entire habitats and ecosystems, is recognized to be of great social and economic value. Conserving biodiversity has therefore become a task of international NGO’s as well as grass-roots organisations. The ‘classical’ model of conservation has been characterised by creation of designated nature areas to allow biodiversity to recover from the effects of human activities. Typically, such areas prohibit entry other than through commercial ecotourism or necessary monitoring activities, but also often involve commodification nature. This classical conservation model has been criticized for limiting valuation of nature to its commercial worth and for being insensitive to local communities. Simultaneously, ‘new conservation’ approaches have emerged. Propagating openness of conservation approaches, ‘new conservation’ has counteracted the calls for strict measures of biodiversity protection as the only means of protecting biodiversity. In turn, the ’new conservation’ was criticised for being inadequate in protecting those species that are not instrumental for human welfare. The aim of this article is to inquire whether sustainable future for non-humans can be achieved based on commodification of nature and/or upon open approaches to conservation. It is argued that while economic development does not necessarily lead to greater environmental protection, strict regulation combined with economic interests can be effective. Thus, economic approaches by mainstream conservation institutions cannot be easily dismissed. However, ‘new conservation’ can also be useful in opening up alternatives, such as care-based and spiritual approaches to valuation of nature. Complementary to market-based approaches to conservation, alternative ontologies of the human development as empathic beings embedded in intimate ethical relations with non-humans are proposed. https://www.linkedin.com/in/helenkopnina/
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Our current take-make-dispose economic model faces a vital challenge as it extracts resources from the natural environment at faster rates than that the natural environment can replenish. A circular economy where businesses lower their negative impact on the natural environment by transitioning towards recycling business models (RBMs), one of the four principles of circularity, is suggested as a promising solution. For a RBM to become viable, collaboration among several stakeholders and across several industries is required. In addition, the RBM should be scalable to make a positive impact. Hence, developing RBMs is complex as organizations need to consider multiple principles imposed by the recycling, collaborative, and scalability dimensions of these business models (BMs). In addition, these principles often remain general and not actionable to the practitioners. Therefore, in this study, we researched the practical guidelines for viable RBMs that are also collaborative and scalable. The empirical setting is the reuse of textile fibers to develop biocomposite products. We studied three cases using a research-through-design approach. We contribute to the literature on RBMs by showing the six minimum practical guidelines for recyclability, collaboration, and scalability. We draw implications for within sector collaborations and advance the thought that lease constructs challenge the scalability of RBM.
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