Social network analysis can be a powerful tool to better understand the social context of terrorist activities, and it may also offer potential leads for agencies to intervene. Our access to Dutch police information allows us to analyse the relational features of two networks that include actors who planned acts of terrorism and were active in the dissemination of a Salafi-Jihadi interpretation of Islam (n = 57; n = 26). Based on a mixed-method approach that combines qualitative and more formal statistical analysis (exponential random graph models), we analyse the structural characteristics of these networks, individual positions and the extent to which radical leaders, pre-existing family and friendship ties and radicalizing settings affect actors to form ties. We find that both networks resemble a core–periphery structure, with cores formed by a densely interconnected group of actors who frequently meet in radicalizing settings. Based on our findings, we discuss the potential effects of preventive and repressive measures developed within the Dutch counterterrorism framework.
This comprehensive document shares up-to-date knowledge on Early Warning Signals of business crisis, presents detection and intervention opportunities, and makes a clear case for their beneficial application to SME leadership and overall business resilience.
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Purpose of review: To summarize the latest research on the risks and consequences of the burden that may be imposed on informal carers of persons living and dying with advanced heart failure.Recent findings: A systematic search in PubMed over the period 2013–2014 ultimately revealed 24 original articles included in this review. From this research update it can be concluded that the body of knowledge increased with more studies focusing on caregivers of patients with advanced heart failure.Summary: Caregivers are important partners in care and their lives are seriously affected by the condition of advanced heart failure. Studies on the longitudinal effects of the caregiving role on caregiver's quality of life and on caregiver contributions to patient outcomes is still scarce. Focus of current research is moving towards relationship aspects. Dyadic-care typologies and the concept of incongruence within dyads in terms of conflicting perspectives on how to manage the heart failure are new and important concepts presented in studies presented in this review. Heart failure patients and their caregivers still lack sufficient palliative care and communication on prognosis and end-of-life care. More research is needed to determine the optimal time to start palliative interventions to support caregivers of patients with advanced heart failure.
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In the past decades, we have faced an increase in the digitization, digitalization, and digital transformation of our work and daily life. Breakthroughs of digital technologies in fields such as artificial intelligence, telecommunications, and data science bring solutions for large societal questions but also pose a new challenge: how to equip our (future)workforce with the necessary digital skills, knowledge, and mindset to respond to and drive digital transformation?Developing and supporting our human capital is paramount and failure to do so may leave us behind on individual (digital divide), organizational (economic disadvantages), and societal level (failure in addressing grand societal challenges). Digital transformation necessitates continuous learning approaches and scaffolding of interdisciplinary collaboration and innovation practices that match complex real-world problems. Research and industry have advocated for setting up learning communities as a space in which (future) professionals of different backgrounds can work, learn, and innovate together. However, insights into how and under which circumstances learning communities contribute to accelerated learning and innovation for digital transformation are lacking. In this project, we will study 13 existing and developing learning communities that work on challenges related to digital transformation to understand their working mechanisms. We will develop a wide variety of methods and tools to support learning communities and integrate these in a Learning Communities Incubator. These insights, methods and tools will result in more effective learning communities that will eventually (a) increase the potential of human capital to innovate and (b) accelerate the innovation for digital transformation
Post-earthquake structural damage shows that wall collapse is one of the most common failure mechanisms in unreinforced masonry buildings. It is expected to be a critical issue also in Groningen, located in the northern part of the Netherlands, where human-induced seismicity has become an uprising problem in recent years. The majority of the existing buildings in that area are composed of unreinforced masonry; they were not designed to withstand earthquakes since the area has never been affected by tectonic earthquakes. They are characterised by vulnerable structural elements such as slender walls, large openings and cavity walls. Hence, the assessment of unreinforced masonry buildings in the Groningen province has become of high relevance. The abovementioned issue motivates engineering companies in the region to research seismic assessments of the existing structures. One of the biggest challenges is to be able to monitor structures during events in order to provide a quick post-earthquake assessment hence to obtain progressive damage on structures. The research published in the literature shows that crack detection can be a very powerful tool as an assessment technique. In order to ensure an adequate measurement, state-of-art technologies can be used for crack detection, such as special sensors or deep learning techniques for pixel-level crack segmentation on masonry surfaces. In this project, a new experiment will be run on an in-plane test setup to systematically propagate cracks to be able to detect cracks by new crack detection tools, namely digital crack sensor and vision-based crack detection. The validated product of the experiment will be tested on the monument of Fraeylemaborg.
The Ph.D. candidate will investigate the seismic response of connection details frequently used in traditional Dutch construction practice, specifically in the Groningen area. The research will focus on the experimental and numerical definition of the complete load-deflection behaviour of each considered connection; specifically, the tests will aim at identifying stiffness, strength, ductility, and dissipative behaviour of the connections. The experiments will be conducted on scaled or full-scale components that properly resemble the as-built and retrofitted as well connection details. The tests will involve monotonic and cyclic loading protocols to be able to define the load and displacement response of the connection to reversal loads, such as earthquakes, as well as the development of failure mechanisms under such loading cases. Possibly, also dynamic tests will be performed. Numerical models will be created and calibrated versus the experimental findings. Characteristic hysteretic behaviours of the examined connection types will be provided for the use of engineers and researchers.
