Do early-life exposures explain why more advantaged children get eczema? Findings from the U.K. Millennium Cohort Study

Background: Atopic dermatitis (eczema) in childhood is socially patterned, with higher incidence in more advantaged populations. However, it is unclear what factors explain the social differences. Objectives: To identify early-life risk factors for eczema, and to explore how early-life risk factors explain any differences in eczema. Methods: We estimated odds ratios (ORs) for ever having had eczema by age 5 years in 14 499 children from the U.K. Millennium Cohort Study (MCS), with a focus on maternal, antenatal and early-life risk factors and socioeconomic circumstances (SECs). Risk factors were explored to assess whether they attenuated associations between SECs and eczema. Results: Overall 35·1% of children had ever had eczema by age 5 years. Children of mothers with degree-level qualifications vs. no educational qualifications were more likely to have eczema (OR 1·52, 95% confidence interval 1·31–1·76), and there was a gradient across the socioeconomic spectrum. Maternal atopy, breastfeeding (1–6 weeks and ≥ 6 months), introduction of solids under 4 months or cow's milk under 9 months, antibiotic exposure in the first year of life and grime exposure were associated with an increased odds of having eczema. Female sex, Pakistani and Bangladeshi ethnicity, smoking during pregnancy, exposure to environmental tobacco smoke and having more siblings were associated with reduced odds for eczema. Controlling for maternal, antenatal and early-life characteristics (particularly maternal smoking during pregnancy, breastfeeding and number of siblings) reduced the OR for eczema to 1·26 (95% confidence interval 1·03–1·50) in the group with the highest educational qualifications compared with the least. Conclusions: In a representative U.K. child cohort, eczema was more common in more advantaged children. This was explained partially by early-life factors including not smoking during pregnancy, breastfeeding and having fewer siblings

Responsible Research and Innovation: responding to the new research agenda

Responsible Research and Innovation (RRI) is concerned with the nature and trajectory of research and innovation: what it can do for society and who gets to decide. RRI has been embedded in key funding institutions such as EPSRC (Engineering and Physical Sciences Research Council), and the EU’s Horizon 2020 programme and in major funding calls from other organisations. As RRI has emerged, it has been addressed in an ad hoc manner by individual projects within The University of Nottingham, such as the Synthetic Biology Research Centre and the Centre for Doctoral Training in Sustainable Chemistry. This report provides an overview of RRI, breaking down the concept into four dimensions, laying out approaches from key funders, strands of existing work at the University and recommendations for addressing the challenges which RRI presents. The report is one output of a research project using documentary analysis and interviews to investigate how RRI is being interpreted within a research-intensive, Russell Group university. The project is an interdisciplinary collaboration between the Schools of Biosciences, Chemistry and Sociology and Social Policy, funded by the University’s Bridging the Gaps initiative

Near Nozzle Field Conditions in Diesel Fuel Injector Testing

The measurement of the rate of fuel injection using a constant volume, fluid filled chamber and measuring the pressure change as a function of time due to the injected fluid (the so called “Zeuch” method) is an industry standard due to its simple theoretical underpinnings. Such a measurement device is useful to determine key timing and quantity parameters for injection system improvements to meet the evolving requirements of emissions, power and economy. This study aims to further the understanding of the nature of cavitation which could occur in the near nozzle region under these specific conditions of liquid into liquid injection using high pressure diesel injectors for heavy duty engines. The motivation for this work is to better understand the temporal signature of the pressure signals that arise in a typical injection cycle. A preliminary CFD study was performed, using OpenFOAM, with a transient (Large Eddy Simulation -LES), multiphase solver using the homogenous equilibrium model for the compressibility of the liquid/vapour. The nozzle body was modelled for simplicity without the nozzle needle using a nozzle hole of 200μm diameter and the body pressurised to values typical for common rail engines. Temperature effects were neglected and the wall condition assumed to be adiabatic. The chamber initial static pressure was varied between 10 and 50 bar to reflect typical testing conditions. Results indicate that vapour formation could occur in areas 10-30mm distant from the nozzle itself. The cavitation was initiated around 100 μs after the jet had started for low ΔP cases and followed the development period required for the formation of vortices associated with the vortex roll up of this jet. These vortices had localised sites, in their core region, below the vapour pressure and were convected downstream of their initial formation location. It was also found that vapour formation could occur at chamber static pressures up to 50 bar (the highest tested) due to cavitation in the shear layer and this vortex effect. The pressure signal received at the chamber would therefore be more difficult to interpret with additional error components

Against the tide of depoliticisation: The politics of research governance

Research has identified a general trend towards depoliticisation. Against this trend, we identify opportunities for politicisation through the international emergence of a research governance tool: ‘responsible research and innovation’ (RRI). Drawing on face-to-face interviews with university staff, we reveal two factors that influence whether research governance becomes a site of politics: actors’ acknowledgement of their societal responsibilities, and the meanings these actors attribute to RRI. RRI provides a focus for political struggles over the public value of research and innovation at a time when science policy is given a privileged role in driving economic growth

Investigation of the effects of domain representation and boundary condition selection in numerical simulations of micro scale flows with phase change

Cavitation is a phenomenon affected considerably by the underlying pressure waves that occur on similar timeand length scales as the bubble dynamics. Thus appropriate representation of wave dynamics within numericalframeworks is of paramount importance for the prediction of the phase change process in the nozzle as well as thesubsequent spray formation. In this paper we focus on investigating the sensitivity of the wave dynamics within acompressible Large Eddy Simulation framework with regards to downstream geometry and boundary representation.Diesel was used as working fluid and was injected at various pressures through a micro-channel. Results interms of vapour fraction, velocity and pressure are compared with the experimental data of Winklhofer [30, 31]. Thedownstream domain length and reflectivity properties are shown to exert a significant effect on in-nozzle processes

Food without sun: Price and life-saving potential

International audienceThe sun could be blocked by an asteroid impact, supervolcanic eruption, or nuclear winter caused by burning of cities during nuclear war. The primary problem in these scenarios is loss of food production. Previous work has shown that alternate foods not dependent on sunlight, such as bacteria grown on natural gas, calories extracted from killed leaves, and cellulose turned into sugar enzymatically, could feed everyone in these catastrophes and preparation for these foods would save lives highly cost-effectively. This study estimates the price of alternate foods during a catastrophe scenario with global trade and information sharing, but no migration, loans, aid or conflict. Without alternate foods, for a five year winter, only ~10% of the population would survive. The price of dry food would rise to ~$100/kg, and the expenditure on this food would be ~$100 trillion over five years. If alternate food were $8/kg, the surviving global population increases to ~70%, saving >4 billion lives. The probability of a loss of civilization and its impact on many future generations would be much lower in this scenario and the total expenditure on food would be halved. Preparation for alternate foods would be a good investment even for wealthy people who would survive without alternate foods. A non-governmental mechanism of coordinating the investments of these rich people may be possible. Identifying companies whose interests align with alternate food preparations may save lives at a negative cost

Dcc --help: Generating Context-Aware Compiler Error Explanations with Large Language Models

In the challenging field of introductory programming, high enrollments and failure rates drive us to explore tools and systems to enhance student outcomes, especially automated tools that scale to large cohorts. This paper presents and evaluates the dcc --help tool, an integration of a Large Language Model (LLM) into the Debugging C Compiler (DCC) to generate unique, novice-focused explanations tailored to each error. dcc --help prompts an LLM with contextual information of compile- and run-time error occurrences, including the source code, error location and standard compiler error message. The LLM is instructed to generate novice-focused, actionable error explanations and guidance, designed to help students understand and resolve problems without providing solutions. dcc --help was deployed to our CS1 and CS2 courses, with 2,565 students using the tool over 64,000 times in ten weeks. We analysed a subset of these error/explanation pairs to evaluate their properties, including conceptual correctness, relevancy, and overall quality. We found that the LLM-generated explanations were conceptually accurate in 90% of compile-time and 75% of run-time cases, but often disregarded the instruction not to provide solutions in code. Our findings, observations and reflections following deployment indicate that dcc-help provides novel opportunities for scaffolding students' introduction to programming.Comment: 7 pages, 2 figures. Accepted in SIGCSE'2

Pathways to inequalities in child health

No abstract available.From birth, children living in disadvantaged socioeconomic circumstances (SECs) suffer from worse health than their more advantaged peers. The pathways through which SECs influence children’s health are complex and inter-related, but in general are driven by differences in the distribution of power and resources that determine the economic, material and psychosocial conditions in which children grow up. A better understanding of why children from more disadvantaged backgrounds have worse health and how interventions work, for whom and in what contexts, will help to reduce these unfair differences. Macro-level change is also required, including the reduction of child poverty through improved social security systems and employment opportunities, and continued investment in high-quality and accessible services (eg, childcare, key workers, children’s centres and healthy school environments). Child health professionals can play a crucial role by being mindful of the social determinants of health in their daily practice, and through advocating for more equitable and child-focussed resource allocation