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Good data curation is integral to cohort studies, but it is not always done to a level necessary to ensure the longevity of the data a study holds. In this opinion paper, we introduce the concept of data curation debt-the data curation equivalent to the software engineering principle of technical debt. Using the context of UK cohort studies, we define data curation debt-describing examples and their potential impact. We highlight that accruing this debt can make it more difficult to use the data in the future. Additionally, the long-running nature of cohort studies means that interest is accrued on this debt and compounded over time-increasing the impact a debt could have on a study and its stakeholders. Primary causes of data curation debt are discussed across three categories: longevity of hardware, software and data formats; funding; and skills shortages. Based on cross-domain best practice, strategies to reduce the debt and preventive measures are proposed-with importance given to the recognition and transparent reporting of data curation debt. Describing the debt in this way, we encapsulate a multi-faceted issue in simple terms understandable by all cohort study stakeholders. Data curation debt is not only confined to the UK, but is an issue the international community must be aware of and address. This paper aims to stimulate a discussion between cohort studies and their stakeholders on how to address the issue of data curation debt. If data curation debt is left unchecked it could become impossible to use highly valued cohort study data, and ultimately represents an existential risk to studies themselves. [ABSTRACT FROM AUTHOR]

Background: In the UK, general practitioners (GPs) are the most commonly used providers of care for emotional concerns.Objective: To update and synthesize literature on barriers and facilitators to GP-patient communication about emotional concerns in UK primary care.Design: Systematic review and qualitative synthesis.Method: We conducted a systematic search on MEDLINE (OvidSP), PsycInfo and EMBASE, supplemented by citation chasing. Eligible papers focused on how GPs and adult patients in the UK communicated about emotional concerns. Results were synthesized using thematic analysis.Results: Across 30 studies involving 342 GPs and 720 patients, four themes relating to barriers were: (i) emotional concerns are difficult to disclose; (ii) tension between understanding emotional concerns as a medical condition or arising from social stressors; (iii) unspoken assumptions about agency resulting in too little or too much involvement in decisions and (iv) providing limited care driven by little time. Three facilitative themes were: (v) a human connection improves identification of emotional concerns and is therapeutic; (vi) exploring, explaining and negotiating a shared understanding or guiding patients towards new understandings and (vii) upfront information provision and involvement manages expectations about recovery and improves engagement in treatment.Conclusion: The findings suggest that treatment guidelines should acknowledge: the therapeutic value of a positive GP-patient relationship; that diagnosis is a two-way negotiated process rather than an activity strictly in the doctor's domain of expertise; and the value of exploring and shaping new understandings about patients' emotional concerns and their management. [ABSTRACT FROM AUTHOR]

Consumer trust in the modern food system is essential given its complexity. Contexts vary across countries with regard to food incidents, regulation and systems. It is therefore of interest to compare how key actors in different countries might approach (re)building consumer trust in the food system; and particularly relevant to understanding how food systems in different regions might learn from one another. The purpose of this paper is to explore differences between strategies for (re)building trust in food systems, as identified in two separate empirical studies, one conducted in Australia, New Zealand and the UK (Study 1) and another on the Island of Ireland (Study 2). Interviews were conducted with media, food industry and food regulatory actors across the two studies (n  = 105 Study 1; n  = 50 Study 2). Data were coded into strategy statements, strategies describing actions to (re)build consumer trust. Strategy statements were compared between Studies 1 and 2 and similarities and differences were noted. The strategy statements identified in Study 1 to (re)build consumer trust in the food system were shown to be applicable in Study 2, however, there were notable differences in the contextual factors that shaped the means by which strategies were implemented. As such, the transfer of such approaches across regions is not an appropriate means to addressing breaches in consumer trust. Notwithstanding, our data suggest that there is still capacity to learn between countries when considering strategies for (re)building trust in the food system but caution must be exercised in the transfer of approaches. [ABSTRACT FROM AUTHOR]

Longitudinal data sources offer new opportunities for the evaluation of sequential interventions. To adjust for time-dependent confounding in these settings, longitudinal targeted maximum likelihood based estimation (TMLE), a doubly robust method that can be coupled with machine learning, has been proposed. This paper provides a tutorial in applying longitudinal TMLE, in contrast to inverse probability of treatment weighting and g-computation based on iterative conditional expectations. We apply these methods to estimate the causal effect of nutritional interventions on clinical outcomes among critically ill children in a United Kingdom study (Control of Hyperglycemia in Paediatric Intensive Care, 2008-2011). We estimate the probability of a child's being discharged alive from the pediatric intensive care unit by a given day, under a range of static and dynamic feeding regimes. We find that before adjustment, patients who follow the static regime "never feed" are discharged by the end of the fifth day with a probability of 0.88 (95% confidence interval: 0.87, 0.90), while for the patients who follow the regime "feed from day 3," the probability of discharge is 0.64 (95% confidence interval: 0.62, 0.66). After adjustment for time-dependent confounding, most of this difference disappears, and the statistical methods produce similar results. TMLE offers a flexible estimation approach; hence, we provide practical guidance on implementation to encourage its wider use. [ABSTRACT FROM AUTHOR]

ABSTRACT This paper presents the results from the first wide and deep dual narrow-band survey to select Hα and [O ii] line emitters at z= 1.47 ± 0.02, exploiting synergies between the United Kingdom Infrared Telescope and the Subaru telescope by using matched narrow-band filters in the H and z′ bands. The Hα survey at z= 1.47 reaches a 3σ flux limit of FHα≈ 7 × 10−17 erg s−1 cm−2 (corresponding to a limiting star formation rate (SFR) in Hα of ≈7 M⊙ yr−1) and detects ≈200 Hα emitters over 0.7 deg2, while the much deeper [O ii] survey reaches an effective flux of ≈7 × 10−18 erg s−1 cm−2 (SFR in [O ii] of ∼1 M⊙ yr−1), detecting ≈1400 z= 1.47 [O ii] emitters in a matched comoving volume of ∼2.5 × 105 Mpc3. The combined survey results in the identification of 190 simultaneous Hα and [O ii] emitters at z= 1.47. Hα and [O ii] luminosity functions are derived and both are shown to evolve significantly from z∼ 0 in a consistent way. The SFR density of the Universe at z= 1.47 is evaluated, with the Hα analysis yielding ρSFR= 0.16 ± 0.05 M⊙ yr−1 Mpc−3 and the [O ii] analysis ρSFR= 0.17 ± 0.04 M⊙ yr−1 Mpc−3. The measurements are combined with other studies, providing a self-consistent measurement of the star formation history of the Universe over the last ∼11 Gyr. By using a large comparison sample at z∼ 0.1, derived from the Sloan Digital Sky Survey (SDSS), [O ii]/Hα line ratios are calibrated as probes of dust extinction. Hα emitters at z∼ 1.47 show on average AHα≈ 1 mag, the same as found by SDSS in the local Universe. It is shown that although dust extinction correlates with SFR, the relation evolves by about ∼0.5 mag from z∼ 1.5 to ∼0, with local relations overpredicting the dust extinction corrections at high z by that amount. Stellar mass is found to be a much more fundamental extinction predictor, with the same relation between mass and dust extinction being valid at both z∼ 0 and ∼1.5, at least for low and moderate stellar masses. The evolution in the extinction-SFR relation is therefore interpreted as being due to the evolution in median specific SFRs over cosmic time. Dust extinction corrections as a function of optical colours are also derived and shown to be broadly valid at both z∼ 0 and ∼1.5, offering simpler mechanisms for estimating extinction in moderately star-forming systems over the last ∼9 Gyr. [ABSTRACT FROM AUTHOR]

This paper has contributed to confirming the link between education and health in developed countries. The analysis is based on 11 European Union countries. We estimate country-specific health functions, where the dependent variable is self-reported health status and the education attainment is one of the main inputs. All eight waves (1994–2001) of the European Community Household Panel are deployed. A random effects ordered probit is estimated in order to control, to a given extent, for unobserved heterogeneity. Explanatory variables are both time invariant (education attainment and gender) and time varying (gross wages, hours of work, age and living alone). Results confirm the positive impact of secondary education on health in most cases and tertiary education in all cases, even after controlling for other inputs in the health function and taking unobserved heterogeneity into account. Secondary education has an impact on health in all countries in the sample except for The Netherlands and UK. The effect does not differ between secondary and tertiary education in France, Ireland and Greece. The correlation between education and health is interpreted in different but complementary ways by diverse approaches and we may not disentangle the precise mechanism that connects health with education from our results. Anyway, it seems clear that better coordination is needed between education and health policies to effectively improve health literacy. Other relevant results from our study are that women register poorer health than men, age contributes to worsening health status and wages contribute positively to health. [ABSTRACT FROM AUTHOR]

Domestic hot water (DHW) in the UK accounts for ∼7.5% of all energy use. For manufacturers of heating and hot water appliances to be in a position to respond to patterns of demand a full understanding of the effect of user-defined DHW profiles, different DHW systems and heating technologies are essential. This paper presents the prediction of the temperature characteristics of drawn DHW using artificial neural networks (NNs). We demonstrate whether, based on one NN model, different hot water system temperature loads can be accurately predicted. Two NN models were constructed and examined on a total of three systems. Both models trained on their associated systems produced errors of <11%; however, both NN models, when presented with unseen systems, produced large single errors. NN model 2 gave the lowest error when compared with NN model 1. [ABSTRACT FROM AUTHOR]

This paper updates to 2006 material first gathered in the late 1990s. Though Germany has about the same number of firms as the UK its biotechnology economy is far weaker, with many small firms employing few people, relatively low venture capital investment and little interest being shown by pharmaceuticals companies in licensing intellectual property. The reverse is the case in the UK even though the investor euphoria at the time of the first comparative study has not returned. A new policy of 'entrepreneurship outsourcing' has become visible in the UK as venture capital perceives a better business climate for biotechnology entrepreneurship in the USA. Recent developments of this kind may add to debilitating European problems, loosening more proximate links within national and regional innovation systems widely perceived as highly important elements in biotechnology cluster performance. [ABSTRACT FROM AUTHOR]