Despite the widely held notion that processes of radicalization tend to happen in relation to others, systematic evidence on the social context in which actors meet and form ties is scarce. This is problematic, as without a more thorough understanding of the relational dimension of radicalization, any strategy to intervene may turn out less effective than perhaps hoped for. Based on our access to detailed police information on eleven Dutch Salafi-Jihadi networks (2001–2014; 273 actors), this article presents a descriptive analysis of the social context in which actors meet and form ties. In most networks, we observe pre-existing family and friendship ties, actors to frequent Salafi mosques and radicalizing settings, and committed actors engaged in functional roles. We also find indications for these elements to facilitate actors to form ties. It is important to note however that we also observe exceptions, both in terms of prevalence and impact of the relational factors we study. In the article, we describe our detailed empirical findings and reflect on the (differential) social context is which actors participating in Dutch Salafi-Jihadi networks meet and form ties.
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In this paper we explore the influence of the physical and social environment (the design space) son the formation of shared understanding in multidisciplinary design teams. We concentrate on the creative design meeting as a microenvironment for studying processes of design communication. Our applied research context entails the design of mixed physical–digital interactive systems supporting design meetings. Informed by theories of embodiment that have recently gained interest in cognitive science, we focus on the role of interactive “traces,” representational artifacts both created and used by participants as scaffolds for creating shared understanding. Our research through design approach resulted in two prototypes that form two concrete proposals of how the environment may scaffold shared understanding in design meetings. In several user studies we observed users working with our systems in natural contexts. Our analysis reveals how an ensemble of ongoing social as well as physical interactions, scaffolded by the interactive environment, grounds the formation of shared understanding in teams. We discuss implications for designing collaborative tools and for design communication theory in general.
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Athor supplied : "This paper describes an agent-based architecture for domotics. This architecture is based on requirements about expandability and hardware independence. The heart of the system is a multi-agent system. This system is distributed over several platforms to open the possibility to tie the agents directly to the actuators, sensors and devices involved. This way a level of abstraction is created and all intelligence of the system as a whole is related to the agents involved. A proof of concept has been built and functions as expected. By implementing real and simulated devices and an easy to use graphical interface, all kind of compositions can be studied using this platform."
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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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The seismic assessment of unreinforced masonry (URM) buildings with cavity walls is of high relevance in regions such as in Central and Northern Europe, Australia, New Zealand and China because of the characteristics of the masonry building stock. A cavity wall consists of two separate parallel walls usually connected by metal ties. Cavity walls are particularly vulnerable to earthquakes, as the out-of-plane capacity of each individual leaf is significantly smaller than the one of an equivalent solid wall. This paper presents the results of an experimental campaign conducted by the authors on metal wall tie connections and proposes a mechanical model to predict the cyclic behaviour of these connections. The model has been calibrated by us- ing the experimental results in terms of observed failure modes and force-displacement responses. Results are also presented in statistical format.
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Door middel van de planningscyclus en het besturingsmodel wordt in het algemeen inzicht gegeven in de essentievan het besturen (Wie, Wat en Hoe wordt bestuurd), de richting die de organisatie in wil slaan en de doelstellingen die men op termijn wil bereiken. Als dat is vastgesteld, kan de informatiemanager (geautomatiseerde) instrumenten aanbieden, die de informatiebehoefte van de managers analyseren en administreren, alsmede het plannings- en meetproces op efficiente wijze ondersteunen.
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Developmental Transformations (DvT), a practice involving interactive, improvisational play in pairs or groups, has gained international appeal as a therapeutic intervention for different populations in a variety of health, care and recreational contexts. However, a rigorous review of the benefits of DvT has not been conducted. The purpose of this study was to review extant literature for the observed benefits of DvT, identify gaps in the literature and make recommendations concerning future research including identifying possible areas for outcome measurement for preliminary studies. The authors, who each completed training in this approach, conducted a scoping review of English-language, published, peer-reviewed and grey DvT literature through 2021. From an initial 745 records retrieved through databases and a manual search, 51 publications met criteria, which, when analysed using in-vivo and pattern coding, resulted in a total of seventeen categories of observed benefits ascribed to DvT. These included six general categories – relational, emotional, social, cognitive, behavioural and physical benefits – and eleven complex categories of benefits to participants across the lifespan. In addition to benefits for participants, benefits of DvT were also observed and reported for facilitators, therapists, teachers and supervisors engaged in this practice. This review revealed inconsistencies regarding the reporting of practitioner training, frequency, format, population, intended goals, assessment measures and outcomes. Future studies with increased experimental rigor, standardized outcome measures and consistent reporting are recommended.
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Background: Art therapy (AT) is frequently offered to children and adolescents with psychosocial problems. AT is an experiential form of treatment in which the use of art materials, the process of creation in the presence and guidance of an art therapist, and the resulting artwork are assumed to contribute to the reduction of psychosocial problems. Although previous research reports positive effects, there is a lack of knowledge on which (combination of) art therapeutic components contribute to the reduction of psychosocial problems in children and adolescents. Method: A systematic narrative review was conducted to give an overview of AT interventions for children and adolescents with psychosocial problems. Fourteen databases and four electronic journals up to January 2020 were systematically searched. The applied means and forms of expression, therapist behavior, supposed mechanisms of change, and effects were extracted and coded. Results: Thirty-seven studies out of 1,299 studies met the inclusion criteria. This concerned 16 randomized controlled trials, eight controlled trials, and 13 single-group pre–post design studies. AT interventions for children and adolescents are characterized by a variety of materials/techniques, forms of structure such as giving topics or assignments, and the use of language. Three forms of therapist behavior were seen: non-directive, directive, and eclectic. All three forms of therapist behavior, in combination with a variety of means and forms of expression, showed significant effects on psychosocial problems. Conclusions: The results showed that the use of means and forms of expression and therapist behavior is applied flexibly. This suggests the responsiveness of AT, in which means and forms of expression and therapist behavior are applied to respond to the client's needs and circumstances, thereby giving positive results for psychosocial outcomes. For future studies, presenting detailed information on the potential beneficial effects of used therapeutic perspectives, means, art techniques, and therapist behavior is recommended to get a better insight into (un)successful art therapeutic elements.
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This study focuses on SME networks of design and high-tech companies in Southeast Netherland. By highlighting the personal networks of members across design and high-tech industries, the study attempts to identify the main brokers in this dynamic environment. In addition, we investigate whether specific characteristics are associated with these brokers. The main contribution of the paper lies in the fact that, in contrast to most other work, it is quantitative and that it focuses on brokers identified in an actual network (based on both suppliers and users of the knowledge infrastructure). Studying the phenomenon of brokerage provides us with clear insights into the concept of brokerage regarding SME networks in different fields. In particular we highlight how third parties contribute to the transfer and development of knowledge. Empirical results show, among others that the most influential brokers are found in the nonprofit and science sector and have a long track record in their branch.
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