Managing designing for safety: a framework for whole-team decision making and risk control

Designing for Safety (DfS) aims to make designs inherently safer to build, operate and maintain, but any residual risk must be controlled, something essential to realising the benefits of inherently safer designs. Here, a conceptual decision-making framework to support DfS, developed in conjunction with industry, is introduced. It aims to assist designers in communicating risk, residual risk and actions needed to support DfS, in a way easily understood by non-specialists such as clients and business leaders. The framework proposes a qualitative categorisation for DfS linked to a clear numerical scale, which embraces the complexity of engineering assessment across the full asset lifecycle, while using a form of language (numbers) that can be readily understood by all. The framework was empirically explored through an operational design workshop with the four engineers leading design and planning teams on the framework. It was found to bring a range of benefits for DfS at the design stage: it provided structure for the discussion of DfS, made the consideration of DfS objective, gave a new vernacular which improved the collective thought process, and made the debate and the resultant design decisions more accessible to non-specialists. The framework provides a tool to support the implementation of DfS across the entire lifecycle of an asset, enhancing DfS communication within the decision making process from the initial strategic definition stage onwards

Is the 'Appropriate Adult' appropriate?

It is recognised that children are particularly vulnerable within the criminal justice system and therefore should be afforded ‘appropriate assistance’ pursuant to Article 37 of the United Nations Convention on the Rights of the Child (UNCRC). Within England and Wales, the Police and Criminal Evidence Act 1984 states that all individuals under the age of 18 must be provided with an appropriate adult to provide advice and assistance, facilitate communication and ensure the child is being treated fairly. This chapter considers whether the appropriate adult, who can be a family member, social worker or volunteer, is appropriate to safeguard the child’s rights, entitlements and welfare whilst they are in police custody. The chapter will examine whether lawyers, as a consequence of their legal knowledge and skills, are better placed to protect the interests of a child in police custody, and if so, whether the role of the appropriate adult should be redefined to support the child’s emotional welfare and facilitate their relationship with the lawyer

The current state of concussion knowledge and attitudes in British American Football

Objectives To examine concussion knowledge and concussion attitudes of players, coaches, and support staff in British American Football (BAF). Methods Data from players, coaches and support staff (n = 236) were collected from across all leagues in BAF. An online survey tool was used which included the Rosenbaum Concussion Knowledge and Attitudes Survey (RoCKAS), and questions examining concussion education and perceived risk of participating in football. Results The mean score on the RoCKAS concussion knowledge was 21.0 ± 2.1 of a possible score of 25 reflecting good knowledge. Of a possible score of 65, the mean concussion attitude score was 55.6 ± 6.1 showing safe attitude. Whilst an overall safe attitude was seen, almost half of participants (45.3%) noted they would continue to play with a concussion. No relationship was found between CAI and prior concussion history. Fifty seven percent of participants agreed the benefits of playing football outweighed the risks. Forty eight percent reported that they had received no concussion-related education in the past 12 months. Conclusion BAF participants have good concussion knowledge and safe attitudes. However, risky behavior is demonstrated through unsafe likelihood to report and attitude to long-term health risks. Access to the British American Football Association (BAFA) concussion policy and education was poor raising questions over what sources of information stakeholders are drawing their knowledge from. These findings can help form the foundation of educational interventions (e.g. coaching workshops) to challenge current misconceptions and improve likelihood to report concussion in BAF

Integrated sensing and acoustofluidic functions for flexible thin film acoustic wave devices based on metallic and polymer multilayers

Surface acoustic wave (SAW) devices are generally fabricated on rigid substrates that support the propagation of waves efficiently. Although very challenging, the realisation of SAW devices on bendable and flexible substrates can lead to new generation SAW devices for wearable technologies. In this paper, we report flexible acoustic wave devices based on ZnO thin films coated on various substrates consisting of thin layers of metal (e.g., Ni/Cu/Ni) and/or polymer (e.g., polyethylene terephthalate, PET). We comparatively characterise the fabricated SAW devices and demonstrate their sensing applications for temperature and ultraviolet (UV) light. We also investigate their acoustofluidic capabilities on different substrates. Our results show that the SAW devices fabricated on a polymer layer (e.g. ZnO/PET, ZnO/Ni/Cu/Ni/PET) show enhanced temperature responsivity, and the devices with larger wavelengths are more sensitive to UV exposure. For actuation purposes, the devices fabricated on ZnO/Ni/Cu/Ni layer have the best performance for acoustofluidics, whereas insignificant acoustofluidic effects are observed with the devices fabricated on ZnO/PET layers. We propose that the addition of a metallic layer of Ni/Cu/Ni between ZnO and polymer layers facilitates the actuation capability for the acoustofluidic applications while keeping temperature and UV sensing capabilities, thus enhancing the integration of sensing and acoustofluidic functions

Irrational Performance Beliefs and Mental Well-Being Upon Returning to Sport During the COVID-19 Pandemic: A Test of Mediation by Intolerance of Uncertainty

Purpose: This study examined the extent to which irrational performance beliefs and intolerance of uncertainty co-occur in relation to mental well-being among a sample of athletes and coaches (N = 94, M age = 31.99, SD = 12.81) upon their return to sport following COVID-19 disruptions. Methods and Results: Despite the parity in views, independent samples t-test results identified three significant differences in the tested variables between athletes and coaches, which suggested that athletes are more likely to entertain depreciative thoughts about performances and react more aversively to uncertainty, whereas coaches reported a better mental well-being state. Pearson correlation coefficient analysis confirmed a significant positive relationship between composite irrational performance beliefs and intolerance of uncertainty scores, with both these variables being inversely related to mental well-being. Results from a simple atemporal mediation analysis using the PROCESS macro verified that intolerance of uncertainty fully mediated the adverse effect irrational beliefs exert on mental well-being. Conclusion: Sports psychology practitioners within the framework of REBT are advised to explore their orientation of modifying irrational beliefs aligned to clients’ perceptions and tolerance of uncertainty in sport through the inclusion of IU-specific awareness and behavioral experiments

Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation

Motion control algorithms in the presence of pedestrians are critical for the development of safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely on manually designed decision-making policies which neglect the mutual interactions between AVs and pedestrians. On the other hand, recent advances in Deep Reinforcement Learning allow for the automatic learning of policies without manual designs. To tackle the problem of decision-making in the presence of pedestrians, the authors introduce a framework based on Social Value Orientation and Deep Reinforcement Learning (DRL) that is capable of generating decision-making policies with different driving styles. The policy is trained using stateof- the-art DRL algorithms in a simulated environment. A novel computationally-efficient pedestrian model that is suitable for DRL training is also introduced. We perform experiments to validate our framework and we conduct a comparative analysis of the policies obtained with two different model-free Deep Reinforcement Learning Algorithms. Simulations results show how the developed model exhibits natural driving behaviours, such as short-stopping, to facilitate the pedestrian’s crossing

Becoming a Smuggler: Migration and Violence at EU External Borders

Migrants’ involvement in smuggling increases alongside restricted cross-border movement and violent borders, yet this dynamic is usually examined from migrants’ position as clients. In this article, we move away from migrants and smugglers as two separate roles and question migrants’ aspirations to and experiences of resorting to smuggling networks as workers in the context of EU land borders, where direct violence is used daily to fight cross-border crime. By doing so, we move further the examination of fluid relations in smuggling provisions and the way they are intertwined with care and exploitation, as shaped and circumscribed by violent borders. The article illustrates the intersections between border violence and migrants’ active involvement in smuggling by drawing on the case study of an anonymised Border Town and multi-site, multi-author fieldwork from Serbia and Bosnia. By questioning migrants’ experiences of shifting roles from clients to service providers, and by taking into account their work in smuggling provision, we show that, in a situation of protracted vulnerability orchestrated by border violence, state and law enforcement, the categories – “migrant” and “smugglers” – can blur

Leaderlessness in Social Movements: Advancing Space, Symbols, and Spectacle as Modes of “Leadership”

The emergence of the Occupy movements along with other social movements in 2011 elevated the idea of radically decentralized “leaderless” social movement organizations. We argue that looking at such an alternative, horizontalist form of organizing presents an opportunity to reframe how we understand leadership. This paper illustrates how the coordination of the Occupy London movement was accomplished horizontally in the absence of formal organization, leadership, or authority structures. Using an ethnographic approach, we show how this movement generated a “multimodal” repertoire of protest that included (1) the politically effective occupation of urban space; (2) the ability to deploy symbols as compelling forms of aesthetic questioning; and (3) the creation of politically charged spectacles that allowed the movement to appropriate the news agendas of established broadcast media. The findings of this paper challenge the language of leadership and contribute to understandings of feminist forms of leadership and leaderless organizing by explaining one way that “leadership” occurs in horizontal organizational structures such as social movements. Namely we demonstrate how the modes of space, symbols, and spectacles effectively replace the role of “leader” in the absence of formal organizational structures

Coordinated Electric Vehicle Active and Reactive Power Control for Active Distribution Networks

The deployment of renewable energy in power systems may raise serious voltage instabilities. Electric vehicles (EVs), owing to their mobility and flexibility characteristics, can provide various ancillary services including active and reactive power. However, the distributed control of EVs under such scenarios is a complex decision-making problem with enormous dynamics and uncertainties. Most existing literature employs model-based approaches to formulate the active and reactive power control problems, which require full models and are time-consuming. This paper proposes a multi-agent reinforcement learning method featuring actor-critic networks and a parameter sharing framework to solve the EVs coordinated active and reactive power control problem towards both demand-side response and voltage regulations. The proposed method can further enhance the learning stability and scalability with privacy perseverance via the location marginal prices. Simulation results based on a modified IEEE 15-bus network are developed to validate its effectiveness in providing system charging and voltage regulation services