Vitamin food fortification today

Historically, food fortification has served as a tool to address population-wide nutrient deficiencies such as rickets by vitamin D fortified milk. This article discusses the different policy strategies to be used today. Mandatory or voluntary fortification and fortified foods, which the consumer needs, also have to comply with nutritional, regulatory, food safety and technical issues. The ‘worldwide map of vitamin fortification’ is analysed, including differences between develop and developing countries. The vitamins, folate and vitamin D, are taken as practical examples in the review of the beneficial effect of different strategies on public health. The importance of the risk–benefit aspect, as well as how to identify the risk groups, and the food vehicles for fortification is discussed

A qualitative study of the barriers to procedural sedation practices in paediatric emergency medicine in the UK and Ireland

© Published by the BMJ Publishing Group Limited. Introduction There is extensive literature on paediatric procedural sedation (PPS) and its clinical applications in emergency departments (EDs). While numerous guidance and policy documents exist from international bodies, there remains a lack of uniformity and consistency of PPS practices within EDs. PPS is now gaining traction in the UK and Ireland and this study aimed to describe existing PPS practices and identify any challenges to training and provision of ED-based PPS. Methods A qualitative approach was employed to capture data through a focus group interview. Nine consultants in emergency medicine (EM) participated, varying in years of experience, clinical settings (mixed adult and paediatric ED or paediatric only) and geographical location (UK and Ireland). The focus group was audio-recorded, transcribed verbatim and analysed using Attride-Stirling's framework for thematic network analysis. Results The global theme â € The Future of PPS in EM - A UK and Ireland Perspective' emerged from the following three organising themes: (1) training and education of ED staff; (2) current realities of PPS in EDs and (3) PPS and the wider hospital community. The main findings were (1) there is variability in ED PPS practice throughout the UK and Ireland; (2) lack of formal PPS training for trainees is a barrier to its implementation as a standard treatment and (3) there is a lack of recognition of PPS at a College level as a specialised EM skill. Conclusions Establishment of PPS as a standard treatment option in the emergency setting will require implementation of robust training into general and paediatric EM training. This should be supported and enhanced through national and international collaboration in EM-led PPS research and audit

Combining Nearest Neighbor Predictions and Model-Based Predictions of Realized Variance: Does it Pay?

The increasing availability of intraday financial data has led to improvements in daily volatility forecasting through long-memory models of realized volatility. This paper demonstrates the merit of the non-parametric Nearest Neighbor (NN) approach for S&P 100 realized variance forecasting. A priori the NN approach is appealing because it can reproduce complex dynamic dependencies while largely avoiding misspecification and parameter estimation uncertainty, unlike model-based methods. We evaluate the forecasts through straddle trading profitability metrics and using conventional statistical accuracy criteria. The ranking of individual forecasts confirms that statistical accuracy does not have a one-to-one mapping into profitability. In turbulent markets, the NN forecasts lead to higher risk-adjusted profitability even though the model-based forecasts are statistically superior. In both calm and turbulent market conditions, the directional combination of NN and model-based forecasts is more profitable than any of the individual forecasts

Characterizing phytoplankton biomass seasonal cycles in two NE Atlantic coastal bays

The seasonal and interannual variability of chlorophyll a was studied between 2008 and 2016 in two coastal bays located in the northeastern limit of the Iberia/Canary upwelling ecosystem. The work aims (i) to understand if small latitudinal distances and/or coastline orientation can promote different chlorophyll a seasonal cycles; and (ii) to investigate if different meteorological and oceanographic variables can explain the differences observed on seasonal cycles. Results indicate three main biological seasons with different patterns in the two studied bays. A uni-modal pattern with a short early summer maximum and relatively low chlorophyll a concentration characterized the westernmost sector of the South coast, while a uni-modal pattern characterized by high biomass over a long period, slightly higher in spring than in summer, and high chlorophyll a concentration characterized the central West coast. Comparisons made between satellite estimates of chlorophyll a and in situ data in one of the bays revealed some important differences, namely the overestimation of concentrations and the anticipation of the beginning and end time of the productive period by satellite. Cross-correlation analyses were performed for phytoplankton biomass and different meteorological and oceanographic variables (SST, PAR, UI, MLD and precipitation) using different time lags to identify the drivers that promote the growth and the high levels of phytoplankton biomass. PAR contributed to the increase of phytoplankton biomass observed during winter/midspring, while upwelling and SST were the main explanatory drivers to the high Chl-a concentrations observed in late-spring/summer. Zonal transport was the variable that contributed most to the phytoplankton biomass during late-spring/summer in Lisbon Bay, while the meridional transport combined with SST was more important in Lagos Bay.FCT: SFRH/BD/52560/2014/ IPMA-BCC-2016-35/ UIDB/04292/2020/ UID/Multi/04326/2020/ UID/MAT/04561/2020 LISBOA-01-0145FEDER-031265 IPMA: MAR2020PO2M01-1490 Pinfo:eu-repo/semantics/publishedVersio

Genetic mechanisms of critical illness in COVID-19.

Host-mediated lung inflammation is present1, and drives mortality2, in the critical illness caused by coronavirus disease 2019 (COVID-19). Host genetic variants associated with critical illness may identify mechanistic targets for therapeutic development3. Here we report the results of the GenOMICC (Genetics Of Mortality In Critical Care) genome-wide association study in 2,244 critically ill patients with COVID-19 from 208 UK intensive care units. We have identified and replicated the following new genome-wide significant associations: on chromosome 12q24.13 (rs10735079, P = 1.65 × 10-8) in a gene cluster that encodes antiviral restriction enzyme activators (OAS1, OAS2 and OAS3); on chromosome 19p13.2 (rs74956615, P = 2.3 × 10-8) near the gene that encodes tyrosine kinase 2 (TYK2); on chromosome 19p13.3 (rs2109069, P = 3.98 ×  10-12) within the gene that encodes dipeptidyl peptidase 9 (DPP9); and on chromosome 21q22.1 (rs2236757, P = 4.99 × 10-8) in the interferon receptor gene IFNAR2. We identified potential targets for repurposing of licensed medications: using Mendelian randomization, we found evidence that low expression of IFNAR2, or high expression of TYK2, are associated with life-threatening disease; and transcriptome-wide association in lung tissue revealed that high expression of the monocyte-macrophage chemotactic receptor CCR2 is associated with severe COVID-19. Our results identify robust genetic signals relating to key host antiviral defence mechanisms and mediators of inflammatory organ damage in COVID-19. Both mechanisms may be amenable to targeted treatment with existing drugs. However, large-scale randomized clinical trials will be essential before any change to clinical practice

Innovation Patterns in the History of Web Technology: A Patent-Based Approach.

This thesis explores the evidence behind popular narratives regarding the development of the Web industry over time. Topics such as the rate of technological growth, generations in Web technology and the emergence of novel technological species are conceptualised here using theoretical perspectives from the fields of economic history, innovation studies and cultural evolution. These fields share an interest in applying the evolutionary principles of variation, selection andtransmission to technological change. Each principle is investigated here by means of empirical investigations into the temporal patterns of Web innovation, adoption of technical standards and transmission of knowledge through time. The methodological approach is based on an original longitudinal dataset of 20,493 US patents related specifically to the Web to trace the history of this industry between the years of 1990 through 2013. Quantitative analyses revealed thatinnovation in the Web industry in some ways conformed, and in other ways deviated from theoretical models of technology growth. Areas of consistency include an initial S-shaped trajectory of corporate innovation that aligned with stock market movements. Associations like this have previously been observed in other technological revolutions. The unique aspects of Web evolution relate mainly to its continued growth beyond the expected ceiling of the S-curve. It was found that this extension can be partly attributed to firms who adopted interactive Web 2.0applications such as social networks, blogs, wikis and RSS feeds. Moreover, Web 2.0 firms werecontinuing to adopt core Web standards that had been established earlier. It appears that standardisation played a role in the long-term evolution of the Web industry by providing a meansfor knowledge to be conserved, transmitted and combined in new ways. The thesis concludes with implications for researchers, managers and policy makers with a view to understanding and fostering sustainable long-term innovation. Specific recommendations are also provided to support the future expansion of Web technology into the emerging fields of data science and AI

Do Online Voting Patterns Reflect Evolved Features of Human Cognition? An Exploratory Empirical Investigation

Online votes or ratings can assist internet users in evaluating the credibility and appeal of the information which they encounter. For example, aggregator websites such as Reddit allow users to up-vote submitted content to make it more prominent, and down-vote content to make it less prominent. Here we argue that decisions over what to up- or down-vote may be guided by evolved features of human cognition. We predict that internet users should be more likely to up-vote content that others have also up-voted (social influence), content that has been submitted by particularly liked or respected users (model-based bias), content that constitutes evolutionarily salient or relevant information (content bias), and content that follows group norms and, in particular, prosocial norms. 489 respondents from the online social voting community Reddit rated the extent to which they felt different traits influenced their voting. Statistical analyses confirmed that norm-following and prosociality, as well as various content biases such as emotional content and originality, were rated as important motivators of voting. Social influence had a smaller effect than expected, while attitudes towards the submitter had little effect. This exploratory empirical investigation suggests that online voting communities can provide an important test-bed for evolutionary theories of human social information use, and that evolved features of human cognition may guide online behaviour just as it guides behaviour in the offline world