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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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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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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Adsorbed natural gas (ANG) storage using metal-organic frameworks (MOFs) is a promising alter- native for efficient natural gas storage at moderate pressures. However, the presence of higher alkanes in natural gas mixtures can significantly affect storage performance by reducing methane adsorption capacity. Basolite C300, a well-studied MOF, offers high volumetric methane storage, but its long-term efficiency in real-world conditions remains a challenge due to potential pore blockage from hydrocarbon accumulation. This study investigates the long-term impact of Cn≥2 alkanes on the adsorption capacity of Basolite C300. Volumetric storage capacities of methane, individual alkanes, and a natural gas mixture were measured at 20 °C. The material underwent 100 adsorption-desorption cycles to assess the progressive impact of Cn≥2 alkanes on methane storage. The experimental results revealed a 63% reduction in methane storage capacity after 100 cycles, highlighting the detrimental effect of alkane accumulation. Higher alkanes were preferentially adsorbed within Basolite C300 micropores, leading to progressive pore blockage and decreased methane uptake. These findings underscore the critical role of gas composition in ANG systems and emphasize the need for mitigation strategies, such as selective pre-adsorption or regeneration techniques, to maintain long-term storage efficiency in MOF-based gas storage applications.
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Abstract The emergence of new technologies such as mp3 and music streaming, and the accompanying digital transformation of the music industry, have led to the shift and change of the entire music industry’s value chain. While music is increasingly being consumed through digital channels, the number of empirical studies, particularly in the field of music copyright in the digital music industry, is limited. Every year, rightsholders of musical works, valued 2.5 billion dollars, remain unknown. The objectives of this study are twofold: First to understand and describe the structure and process of the Dutch music copyright system including the most relevant actors within the system and their relations. Second to apply evolutionary economics approach and Values Sensitive Design method within the context of music copyright through positive-empirical perspective. For studies of technological change in existing markets, the evolutionary economics literature provides a coherent and evidence-based foundation. The actors are generally perceived as being different, for example with regard to their access to information, their ability to handle information, their capital and knowledge base (asymmetric information). Also their norms, values and roles can differ. Based on an analysis of documents and held expert interviews, we find that the collection and distribution of the music copyright money is still based on obsolete laws, neoclassical paradigm and legacy IT-system. Finally, we conclude that the rightsholders are heterogenous and have asymmetrical information and negotiating power. The outcomes of this study contribute to create a better understanding of impact of digitization of music copyright industry and empower the stakeholders to proceed from a more informed perspective on redesigning and applying the future music copyright system and pre-digital norms and values amongst actors.
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Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. Therefore, it is vital to take into account multiple factors, including expertise, time and risk associated with decisions, as well as the system’s context to identify suitable affordances. Furthermore, it is important to consider the algorithmic and digital literacy of the users. This analysis could reveal innovative design opportunities, like combining a recommender system with a digital agent. As a result, it may meet interpersonal needs and facilitate a more natural interaction with the system. Implementing this combination in a digital marketplace could be a promising way to empower users towards an independent life.
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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 the aftermath of the systemic financial crises of 2007-9, several scholars argued that the problem of systemic financial crises is not well understood. At the same time, the introduction of digital technologies led to new threats and opportunities for the design of the monetary and financial system. For example, thousands of private cryptocurrencies have been implemented and hundreds of research papers on the (possible) introduction of public digital currencies have been published. It is often not explained why these new forms of digital money are needed and which (systemic) problems they (can) solve. In addition, the literature does not provide requirements nor guidelines to shape the development of the monetary and financial system in the digital age. This thesis applies design science to the monetary and financial system as a whole. The application of this novel methodology offers new possibilities to examine this complex system. The contribution of this thesis is threefold. First, different theories on money, banking and systemic financial crises have been researched through an extensive literature review and balance sheets. Second, those theories have been used to develop design requirements and guidelines. Finally, the consensus and pivotal dissensions about the systemic problem(s) of the current monetary and financial system, requirements and guidelines among experts have been identified through semistructured interviews. This research process results in widely supported requirements that demarcate the design space and widely supported guidelines that aim to give direction within the design space, that is, to the future development of the monetary and financial system.
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Current urban design and urban planning aim to facilitate global, regional and local urbanization programs. This implies most of the planning documents give room to the types of land use that seem to require space ‘here and now’. The amount of new housing, office and other industrial and commercial space, accompanying amounts of parking lots and the necessity of new transportation routes, infrastructure and corridors are the main topics in the majority of future oriented plans. This is what is called ‘fast urbanism’ ((Roggema, R., Special Issue Urban Planning 6:946-956, October 2015)). It is the natural preferred habit of planners, decision-makers and politicians, and many developers, economists and municipal land departments. It seems as if this way of future planning brings the highest revenues, and this may be true, on the short term and for only a limited part of involved groups in the city. The impact of this way of planning the city has negative consequences for our health in general (see Roggema, this volume, Chap. 5; Han and Keeffe, this volume, Chap. 4; Monti, this volume, Chap. 11), and more specifically the quality of nature and biodiversity in our urban and natural environments (Birtles, this volume, Chap. 10; Tillie, this volume, Chap. 6; Monti, this volume, Chap. 11; Backes et al., this volume, Chap. 3; Sijmons, this volume, Chap. 2). One way of coping with the effects is to ‘repair’ the damage after the city has been built. Aiming to increase the quality of small green spaces (Veldman, this volume, Chap. 13; Casagrande, this volume, Chap. 7), add temporary nature (Backes et al., this volume, Chap. 3), or greening buildings (Bosse, this volume, Chap. 15), could help to prevent the largest impacts of fast urbanism. However, this will always be a solution that repairs, or greenwashes urbanization that has neglected the natural systems in the first place
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