What can be done to improve the ethical decisions made by engineers?

We can improve the ethical decisions made by engineers by altering what information they perceive as relevant when making their decisions. If we want engineers to make better ethical decisions it is essential that they can “see” ethically pertinent information. We can think of how engineers view the world as shaped in two ways; the narratives that they use to define the world and the metaphor of photographic vision. Narratives shape engineers’ thinking and decision making by suggesting that certain roles and beliefs about the world are true. This can lead to filtering - as a result of the narrative the engineer believes that certain information can be safely ignored. Photographic vision (metaphorically viewing the world through a camera) demonstrates that with the limited human ability to perceive information we lose potentially important information as a result zooming past it, zooming too far out to see the detail and by filtering out particular types of information, or by focussing on the wrong parts. Engineers’ perception of what information is pertinent is influenced by their view on what an engineer is, or should be, along with their experience as an engineer and their engineering education. We can alter this perception by changing the environment they experience (professional and educational), by providing them with new information, highlighting information they already have, and by encouraging personal reflection. Encouraging engineers to develop narratives of engineering as a profession, with an awareness of their role as risk imposers and as constituents of professional bodies can alter how they approach their decision making. Developing new ways to describe what an engineer does will provide educators with a different understanding of their role which can influence how future engineers are taught

On the move: Twentieth anniversary editorial of the European Journal of Cultural Studies

Twenty years of the European Journal of Cultural Studies is a cause for celebration. We do so with a festive issue that comes together with our first free open access top articles in three areas that readers have sought us out for: postfeminism, television beyond textual analysis and cultural labour in the creative industries. The issue opens with freshly commissioned introductory essays to these three thematic areas by key authors in those fields. In addition, the issue offers new articles showcasing the range of the broad field of cultural studies today, including pieces on the politics of co-working, punk in China, Black British women on YouTube, trans-pedagogy and fantasy sports gameplay, featuring work by emerging as well as established scholars. Our editorial introduction to this celebratory issue offers reflections on how both the journal and the field of cultural studies have developed, and on our thoughts and ambitions for the future within the current conjuncture as we ‘move on’ as a new editorial team

LRRK1 regulation of actin assembly in osteoclasts involves serine 5 phosphorylation of L-plastin

Mice with disruption of Lrrk1 and patients with nonfunctional mutant Lrrk1 exhibit severe osteopetrosis phenotypes because of osteoclast cytoskeletal dysfunction. To understand how Lrrk1 regulates osteoclast function by modulating cytoskeleton rearrangement, we examined the proteins that are differentially phosphorylated in wild-type mice and Lrrk1-deficient osteoclasts by metal affinity purification coupled liquid chromatography/mass spectrometry (LC/MS) analyses. One of the candidates that we identified by LC/MS is L-plastin, an actin bundling protein. We found that phosphorylation of L-plastin at serine (Ser) residues 5 was present in wild-type osteoclasts but not in Lrrk1-deficient cells. Western blot analyses with antibodies specific for Ser5 phosphorylated L-plastin confirmed the reduced L-plastin Ser5 phosphorylation in Lrrk1 knockout (KO) osteoclasts. micro computed tomography (Micro-CT) analyses revealed that the trabecular bone volume of the distal femur was increased by 27% in the 16 to 21-week-old L-plastin KO females as compared with the wild-type control mice. The ratio of bone volume to tissue volume and connectivity density were increased by 44% and 47% (both P \u3c 0.05), respectively, in L-plastin KO mice. Our data suggest that targeted disruption of L-plastin increases trabecular bone volume, and phosphorylation of Ser5 in L-plastin in the Lrrk1 signaling pathway may in part contribute to actin assembly in mature osteoclasts

In the Living Room: Second Screens and TV Audiences

© The Author(s) 2015. This article is based on a small pilot project exploring the role, function, and meanings of second screens and companion apps for TV audiences that is contextualized by existing academic audience research. This is mapped alongside industry research and academic debate about second screens. The results illustrate some disjunction between industry expectations of usage and viewers' everyday experiences. I argue that industries' tendency to conflate "viewer" with "fan" indicates a less than nuanced understanding of the television/companion app audience. Further, the lean forward/lean back binary applied to digital media users and television audiences respectively points to a problematic not addressed in much industry literature, while the respondents for this research indicate a complex interplay between the pleasures of viewing that incorporates the social and the personal with the second screen and the TV text

On modelling and verifying railway interlockings: Tracking train lengths

The safety analysis of interlocking railway systems involves verifying freedom from collision, derailment and run-through (that is, trains rolling over wrongly-set points). Typically, various unrealistic assumptions are made when modelling trains within networks in order to facilitate their analyses. In particular, trains are invariably assumed to be shorter than track segments; and generally only a very few trains are allowed to be introduced into the network under consideration. In this paper we propose modelling methodologies which elegantly dismiss these assumptions. We first provide a framework for modelling arbitrarily many trains of arbitrary length in a network; and then we demonstrate that it is enough with our modelling approach to consider only two trains when verifying safety conditions. That is, if a safety violation appears in the original model with any number of trains of any and varying lengths, then a violation will be exposed in the simpler model with only two trains. Importantly, our modelling framework has been developed alongside - and in conjunction with - railway engineers. It is vital that they can validate the models and verification conditions, and - in the case of design errors - obtain comprehensible feedback. We demonstrate our modelling and abstraction techniques on two simple interlocking systems proposed by our industrial partner. As our formalization is, by design, near to their way of thinking, they are comfortable with it and trust it

Conspiracy theories: why they are believed and how they can be challenged

The current study aimed: (i) to identify personal characteristics associated with endorsing conspiracy theories; and (ii) to investigate methods for dispelling conspiracy beliefs. Participants were shown a single conspiracy theory and they also completed questionnaires about their reasoning skills, types of information processing (System 1 vs. System 2), endorsement of paranormal beliefs, locus of control and pattern perception. To challenge the endorsement of the conspiracy, participants read either: (i) neutral information; (ii) a critical analysis of the vignette; (iii) a critical analysis of the vignette with discussion of realistic consequences; or (iv) a critical analysis of the vignette with “feeling of control” priming. Only addressing the consequences of the conspiracy theory decreased its endorsement. Furthermore, only type of information processing and belief in paranormal phenomena, were associated with endorsement of the conspiracy. These findings are discussed in relation to previous studies and theories of conspiratorial ideation

A Mobile Text Message Intervention to Reduce Repeat Suicidal Episodes: Design and Development of Reconnecting After a Suicide Attempt (RAFT)

Background Suicide is a leading cause of death, particularly among young people. Continuity of care following discharge from hospital is critical, yet this is a time when individuals often lose contact with health care services. Offline brief contact interventions following a suicide attempt can reduce the number of repeat attempts, and text message (short message service, SMS) interventions are currently being evaluated. Objective The aim of this study was to extend postattempt caring contacts by designing a brief Web-based intervention targeting proximal risk factors and the needs of this population during the postattempt period. This paper details the development process and describes the realized system. Methods To inform the design of the intervention, a lived experience design group was established. Participants were asked about their experiences of support following their suicide attempt, their needs during this time, and how these could be addressed in a brief contact eHealth intervention. The intervention design was also informed by consultation with lived experience panels external to the project and a clinical design group. Results Prompt outreach following discharge, initial distraction activities with low cognitive demands, and ongoing support over an extended period were identified as structural requirements of the intervention. Key content areas identified included coping with distressing feelings, safety planning, emotional regulation and acceptance, coping with suicidal thoughts, connecting with others and interpersonal relationships, and managing alcohol consumption. Conclusions The RAFT (Reconnecting AFTer a suicide attempt) text message brief contact intervention combines SMS contacts with additional Web-based brief therapeutic content targeting key risk factors. It has the potential to reduce the number of repeat suicidal episodes and to provide accessible, acceptable, and cost-effective support for individuals who may not otherwise seek face-to-face treatment. A pilot study to test the feasibility and acceptability of the RAFT intervention is underway.the Australian National Health and Medical Research Council (NHMRC) Centre of Research Excellence in Suicide Prevention Lived Experience Committee; the Black Dog Institute Lived Experience Advisory Panel, Dr Bridi O’Dea and Dr Aliza Werner-Seidler for their support in the design of this project. This study is supported by the Australian Foundation for Mental Health Research, the Ottomin Foundation, and the NHMRC Centre for Research Excellence in Suicide Prevention (APP1042580). ML was supported by a Society of Mental Health 2015 Early Career Research Award and HC by an NHMRC Fellowship (APP1056964)

Identifying Patterns of Clinical Interest in Clinicians' Treatment Preferences: Hypothesis-free Data Science Approach to Prioritizing Prescribing Outliers for Clinical Review.

BACKGROUND: Data analysis is used to identify signals suggestive of variation in treatment choice or clinical outcome. Analyses to date have generally focused on a hypothesis-driven approach. OBJECTIVE: This study aimed to develop a hypothesis-free approach to identify unusual prescribing behavior in primary care data. We aimed to apply this methodology to a national data set in a cross-sectional study to identify chemicals with significant variation in use across Clinical Commissioning Groups (CCGs) for further clinical review, thereby demonstrating proof of concept for prioritization approaches. METHODS: Here we report a new data-driven approach to identify unusual prescribing behaviour in primary care data. This approach first applies a set of filtering steps to identify chemicals with prescribing rate distributions likely to contain outliers, then applies two ranking approaches to identify the most extreme outliers amongst those candidates. This methodology has been applied to three months of national prescribing data (June-August 2017). RESULTS: Our methodology provides rankings for all chemicals by administrative region. We provide illustrative results for 2 antipsychotic drugs of particular clinical interest: promazine hydrochloride and pericyazine, which rank highly by outlier metrics. Specifically, our method identifies that, while promazine hydrochloride and pericyazine are barely used by most clinicians (with national prescribing rates of 11.1 and 6.2 per 1000 antipsychotic prescriptions, respectively), they make up a substantial proportion of antipsychotic prescribing in 2 small geographic regions in England during the study period (with maximum regional prescribing rates of 298.7 and 241.1 per 1000 antipsychotic prescriptions, respectively). CONCLUSIONS: Our hypothesis-free approach is able to identify candidates for audit and review in clinical practice. To illustrate this, we provide 2 examples of 2 very unusual antipsychotics used disproportionately in 2 small geographic areas of England