Hands on Science to communicate innovations in research – engaging the public in coastal wave hazard measurements to inform management activities

Rising sea level is increasing the flood hazard from sea defence overtopping. New coastal schemes therefore need to be cost-effective and future-proofed. WireWall, with its portable, low cost measurement technology, is a system that can collect overtopping velocities and volumes to inform new scheme design and validate flood forecasting systems. Whilst the application of technology is important, it is equally vital that the scientific community actively engage with the public to raise awareness and understanding of coastal defence initiatives. To engage the public in understanding coastal hazard, how it is managed and how new advances in research informs management decisions, a portable demonstration model of the WireWall field rig has been developed. The tool is hands on, eye catching and user-friendly; and showcases new advances in technology to support coastal flood risk management thus educating the coastal community about changing hazard to promote public preparedness. This tool has successfully initiated in situ engagement between the public, coastal practitioners and researchers to develop support for a new scheme being planned at the WireWall study site. The future wellbeing of coastal communities depends on clear communication of new research that is making sense of changing seas. Here a methodology is presented that achieves just that. The communication facilitated through the design approach used to develop this tool, has turned knowledge and technological innovations into accessible information for government, business and the public

The effect of medications which cause inflammation of the gastro-oesophageal tract on cancer risk : a nested case–control study of routine Scottish data

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Diegetic Tool Management in a Virtual Reality Training Simulation

Researchers have suggested that diegetic interfaces can enhance users’ sense of presence and immersion in virtual reality. We present a study (N = 58) in which we compare participants’ experiences of diegetic and non-diegetic interfaces, in a prototype VR CSI training application. Contrary to expectations, we do not find evidence that participants’ sense of presence is elevated when using the diegetic interface; however, we suggest that this may be due to reported higher levels of perceived workload. We conclude by discussing the relationship between diegetic interface design and interaction fidelity, and highlighting trade-offs between fidelity and engagement

Medications that relax the lower oesophageal sphincter and risk of oesophageal cancer : An analysis of two independent population-based databases

Acknowledgements We acknowledge collaboration with the Research Applications and Data Management Team lead by Ms Katie Wilde, University of Aberdeen in conducting our study. This research has been conducted using the UK Bio-bank Resource under application number 34374.Peer reviewedPostprin

Magnetic Tunnel Junction Random Number Generators Applied to Dynamically Tuned Probability Trees Driven by Spin Orbit Torque

Perpendicular magnetic tunnel junction (pMTJ)-based true-random number generators (RNG) can consume orders of magnitude less energy per bit than CMOS pseudo-RNG. Here, we numerically investigate with a macrospin Landau-Lifshitz-Gilbert equation solver the use of pMTJs driven by spin-orbit torque to directly sample numbers from arbitrary probability distributions with the help of a tunable probability tree. The tree operates by dynamically biasing sequences of pMTJ relaxation events, called 'coinflips', via an additional applied spin-transfer-torque current. Specifically, using a single, ideal pMTJ device we successfully draw integer samples on the interval 0,255 from an exponential distribution based on p-value distribution analysis. In order to investigate device-to-device variations, the thermal stability of the pMTJs are varied based on manufactured device data. It is found that while repeatedly using a varied device inhibits ability to recover the probability distribution, the device variations average out when considering the entire set of devices as a 'bucket' to agnostically draw random numbers from. Further, it is noted that the device variations most significantly impact the highest level of the probability tree, iwth diminishing errors at lower levels. The devices are then used to draw both uniformly and exponentially distributed numbers for the Monte Carlo computation of a problem from particle transport, showing excellent data fit with the analytical solution. Finally, the devices are benchmarked against CMOS and memristor RNG, showing faster bit generation and significantly lower energy use.Comment: 10 pages, 8 figures, 2 table

The role of 5α‐reductase inhibitors in gastro‐oesophageal cancer risk : A nested case‐control study

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Association between statin use after diagnosis of esophageal cancer and survival: a population-based cohort study

Background & Aims: Statins (3-hydroxy-3-methylglutaryl coenzyme A reductase inhibitors), commonly prescribed to prevent cardiovascular disease, promote apoptosis and limit proliferation of esophageal cancer cell lines. We investigated whether statin use following diagnosis of esophageal cancer is associated with reduced esophageal cancer-specific and all-cause mortality.  Methods: We identified a cohort of 4445 men and women in the United Kingdom diagnosed with esophageal cancer from January 2000 through November 2009 using the General Practice Research Database. The National Cancer Registry and Office of National Statistics datasets respectively established the histologic subtype and cancer-specific mortality. Cox proportional hazard regression analysis with time-dependent exposures estimated the association between statin use after diagnosis and esophageal cancer-specific and all-cause mortality.  Results: The median survival time of the entire cohort was 9.2 months (inter-quartile range [IQR], 3.7–23.2 months). Among subjects who used statins after diagnosis of esophageal cancer, the median survival time was 14.9 months (IQR, 7.1–52.3) compared to 8.1 months for non-users (IQR, 3.3–20). In the entire cohort, statin use after diagnosis was associated with a decreased risk of esophageal cancer-specific mortality (adjusted hazard ratio [HR], 0.62; 95% confidence interval [CI], 0.44–0.86) and all-cause mortality (HR, 0.67; 95% CI, 0.58–0.77). In patients with esophageal adenocarcinoma, statin use after diagnosis was associated with decreased risk of esophageal cancer-specific mortality (HR, 0.61; 95% CI 0.38–0.96) and all-cause mortality (HR, 0.63; 95% 0.43–0.92). This effect was not observed in patients with esophageal squamous cell carcinoma. There was no evidence for effect modification of these associations with statin use before cancer diagnosis.  Conclusions: In a large population-based cohort, statin use after diagnosis of esophageal adenocarcinoma, but not esophageal squamous cell carcinoma, was associated with reduced esophageal cancer-specific and all-cause mortality

When one phenotype is not enough: divergent evolutionary trajectories govern venom variation in a widespread rattlesnake species

Artículo 10 páginas, 3 figuras 1 tablaUnderstanding the origin and maintenance of phenotypic variation, particularly across a continuous spatial distribution, represents a key challenge in evolutionary biology. For this, animal venoms represent ideal study systems: they are complex, variable, yet easily quantifiable molecular phenotypes with a clear function. Rattlesnakes display tremendous variation in their venom composition, mostly through strongly dichotomous venom strategies, which may even coexist within a single species. Here, through dense, widespread population-level sampling of the Mojave rattlesnake, Crotalus scutulatus, we show that genomic structural variation at multiple loci underlies extreme geographical variation in venom composition, which is maintained despite extensive gene flow. Unexpectedly, neither diet composition nor neutral population structure explain venom variation. Instead, venom divergence is strongly correlated with environmental conditions. Individual toxin genes correlate with distinct environmental factors, suggesting that different selective pressures can act on individual loci independently of their co-expression patterns or genomic proximity. Our results challenge common assumptions about diet composition as the key selective driver of snake venom evolution and emphasize how the interplay between genomic architecture and local-scale spatial heterogeneity in selective pressures may facilitate the retention of adaptive functional polymorphisms across a continuous space.Funding: Leverhulme Trust Grant RPG 2013-315 to WW, Santander Early Career Research Scholarship to GZ, Ministerio de Economía y Competitividad Grant BFU2013-42833-P to JJC.Peer reviewe