Abstract. In recent years circular economy has become more important for the development of many places including cities. Traditionally, urban development policies have mainly been aiming to improve the socio-economic wellbeing of neighbourhoods. However, technical and ecologic aspects have their effects too and need to go hand in hand. This paper is based on an urban area experiment in the Dutch city of Utrecht. In order to assess urban area developments, typically rather straight-forward quantitative indicators have been used. However, it has proved more complicated to assess multifaceted developments of the area studied in this paper. With the City Model Canvas a multi-layered model is being used to better assess the impact of the urban development being studied. Key findings include that the project studied resulted in more space for companies from the creative industry and the settlement of local ‘circular’ entrepreneurs and start-ups, although it remains unclear to what extent these benefit from each other’s presence. The increase in business activity resulted in more jobs, but it is again unclear whether this led to more social inclusion. From an environmental point of view the project activities resulted in less raw materials being used, although activities and public events bring nuisance to the surrounding neighbourhoods.
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In software architecture, the Layers pattern is commonly used. When this pattern is applied, the responsibilities of a software system are divided over a number of layers and the dependencies between the layers are limited. This may result in benefits like improved analyzability, reusability and portability of the system. However, many layered architectures are poorly designed and documented. This paper proposes a typology and a related approach to assign responsibilities to software layers. The Typology of Software Layer Responsibility (TSLR) gives an overview of responsibility types in the software of business information systems; it specifies and exemplifies these responsibilities and provides unambiguous naming. A complementary instrument, the Responsibility Trace Table (RTT), provides an overview of the TSLR-responsibilities assigned to the layers of a case-specific layered design. The instruments aid the design, documentation and review of layered software architectures. The application of the TSLR and RTT is demonstrated in three cases.
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This chapter argues that critical discourse analysis (CDA) provides a fruitful methodology for CES. This is due both to its eclectic, abductive research methodology that engages in a dialogue between, theory(ies), methodology(ies), data and the socio-historical context (Reisigl and Wodak 2009). Secondly, CDA, like other critical approaches, adopts a layered approach to research methodology, focusing from the global to meso and micro aspects of an event, or from social structures, to social institutions and social events, always considering the discursive as being both constituted by and constitutive of social structures. It will illustrate this through a brief description of the discourse-historical dimension in CDA which assumes a distinction between content analysis, the analysis of discursive and argumentative strategies and, finally, the analysis of linguistic features (Reisigl and Wodak, 2001). Those basic assumptions will be illustrated through the description of a theoretical-methodological framework recently employed for the study of the Occupy movement in Spain (Montesano Montessori & Morales Lopez, forthcoming). It shows how a framework was assembled that brought social constructivism, narrative analysis, rhetoric and finally the discourse theoretical concept of ‘rearticulation’ together in order to analyse how the Occupy movement helped Spanish citizens to gain agency and voice. In: R Lamond I., Platt L. (eds). Critical Event Studies. Leisure Studies in a Global Era. Palgrave Macmillan, London
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In this paper a new graphical password scheme is presented using a dynamic layered combination of graphical elements. It has unique capabilities in terms of low memory burden due to a story based approach, while at the same time being very resistant to shoulder surfing threats. The results of a security evaluation confirm shoulder surfing resistance.
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In this paper a new graphical password scheme is presented using a dynamic layered combination of graphical elements. It has unique capabilities in terms of low memory burden due to a story based approach, while at the same time being very resistant to shoulder surfing threats. The results of a security evaluation confirm shoulder surfing resistance.
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Purpose: The purpose of this study is to find determinants about risk resilience and develop a new risk resilience approach for (agricultural) enterprises. This approach creates the ability to respond resiliently to major environmental challenges and changes in the short term and adjust the management of the organization, and to learn and transform to adapt to the new environment in the long term while creating multiple value creation. Design/methodology: The authors present a new risk resilience approach for multiple value creation of (agricultural) enterprises, which consists of a main process starting with strategy design, followed by an environmental analysis, stakeholder collaboration, implement ESG goals, defining risk expose & response options, and report, learn & evaluate. In each step the organizational perspective, as well as the value chain/area perspective is considered and aligned. The authors have used focus groups and analysed literature from and outside the field of finance and accounting, to design this new approach. Findings: Researchers propose a new risk resilience approach for (agricultural) enterprises, based on a narrative about transforming to multiple value creation, founded determinants of risk resilience, competitive advantage and agricultural resilience. Originality and value: This study contributes by conceptualizing risk resilience for (agricultural) enterprises, by looking through a lens of multiple value creation in a dynamic context and based on insights from different fields, actual ESG knowledge, and determinants for risk resilience, competitive advantage and agricultural resilience.
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When physicians and nurses are looking at the same patient, they may not see the same picture. If assuming that the clinical reasoning of both professions is alike and ignoring possible differences, aspects essential for care can be overlooked. Understanding the multifaceted concept of clinical reasoning of both professions may provide insight into the nature and purpose of their practices and benefit patient care, education and research. We aimed to identify, compare and contrast the documented features of clinical reasoning of physicians and nurses through the lens of layered analysis and to conduct a simultaneous concept analysis. The protocol of this systematic integrative review was published doi: 10.1136/bmjopen-2021-049862. A comprehensive search was performed in four databases (PubMed, CINAHL, Psychinfo, and Web of Science) from 30th March 2020 to 27th May 2020. A total of 69 Empirical and theoretical journal articles about clinical reasoning of practitioners were included: 27 nursing, 37 medical, and five combining both perspectives. Two reviewers screened the identified papers for eligibility and assessed the quality of the methodologically diverse articles. We used an onion model, based on three layers: Philosophy, Principles, and Techniques to extract and organize the data. Commonalities and differences were identified on professional paradigms, theories, intentions, content, antecedents, attributes, outcomes, and contextual factors. The detected philosophical differences were located on a care-cure and subjective-objective continuum. We observed four principle contrasts: a broad or narrow focus, consideration of the patient as such or of the patient and his relatives, hypotheses to explain or to understand, and argumentation based on causality or association. In the technical layer a difference in the professional concepts of diagnosis and the degree of patient involvement in the reasoning process were perceived. Clinical reasoning can be analysed by breaking it down into layers, and the onion model resulted in detailed features. Subsequently insight was obtained in the differences between nursing and medical reasoning. The origin of these differences is in the philosophical layer (professional paradigms, intentions). This review can be used as a first step toward gaining a better understanding and collaboration in patient care, education and research across the nursing and medical professions.
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With the increased adoption of real-time objective measurements of player experience, advances have been made in characterising the dynamically changing aspects of the player experience during gameplay itself. A direct coupling to player action, however, is not without challenges. Many physiological responses, for instance, have an inherent delay, and often take some time to return to a baseline, providing challenges of interpretation when analysing rapidly changing gameplay on a micro level of interaction. The development of event-related, or phasic, measurements directly coupled to player actions provides additional insights, for instance through player modelling, but also through the use of behavioural characteristics of the human computer interaction itself. In this study, we focused on the latter, and measured keyboard pressure in a number of different, fast-paced action games. In this particular case, we related specific functional game actions (keyboard presses) to experiential player behaviour. We found keyboard pressure to be higher for avoidance as compared to approach-oriented actions. Additionally, the difference between avoidance and approach keyboard pressure related to levels of arousal. The findings illustrate the application potential of qualifying players’ functional actions at play (navigating in a game) and interpret player experience related to these actions through players’ real world behavioural characteristics like interface pressure.
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One of the main aims of game AI research is the building of challenging and believable artificial opponents that act as if capable of strategic thinking. In this paper we describe a novel mechanism that successfully endows NPCs in real-time games with strategic planning capabilities. Our approach creates adaptive behaviours that take into account long-term and short term consequences. Our approach is unique in that: (i) it is sufficiently fast to be used for hundreds of agents in real time; (ii) it is flexible in that it requires no previous knowledge of the playing field; and (iii) it allows customization of the agents in order to generate differentiated behaviours that derive from virtual personalities.
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One of the main aims of game AI research is the building of challenging and believable artificial opponents that act as if capable of strategic thinking. In this paper we describe a novel mechanism that successfully endows NPCs in real-time games with strategic planning capabilities. Our approach creates adaptive behaviours that take into account long-term and short term consequences. Our approach is unique in that: (i) it is sufficiently fast to be used for hundreds of agents in real time; (ii) it is flexible in that it requires no previous knowledge of the playing field; and (iii) it allows customization of the agents in order to generate differentiated behaviours that derive from virtual personalities.
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