Hierarchically modelling Kepler dwarfs and subgiants to improve inference of stellar properties with asteroseismology

This work is a part of a project that has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (CartographY; grant agreement ID 804752). AJL, GRD, and WJC acknowledge the support of the Science and Technology Facilities Council. DH acknowledges support from the Alfred P. Sloan Foundation, the National Aeronautics and Space Administration (80NSSC19K0597), and the National Science Foundation (AST-1717000). MBN acknowledges support from the UK Space Agency. RAG acknowledges the funding from the PLATO CNES grant.With recent advances in modelling stars using high-precision asteroseismology, the systematic effects associated with our assumptions of stellar helium abundance (Y) and the mixing-length theory parameter (αMLT) are becoming more important. We apply a new method to improve the inference of stellar parameters for a sample of Kepler dwarfs and subgiants across a narrow mass range (⁠0.8<M<1.2M⊙). In this method, we include a statistical treatment of Y and the αMLT. We develop a hierarchical Bayesian model to encode information about the distribution of Y and αMLT in the population, fitting a linear helium enrichment law including an intrinsic spread around this relation and normal distribution in αMLT. We test various levels of pooling parameters, with and without solar data as a calibrator. When including the Sun as a star, we find the gradient for the enrichment law, ΔY/ΔZ=1.05+0.28−0.25 and the mean αMLT in the population, μα=1.90+0.10−0.09, μα=1.90+0.10−0.09⁠. While accounting for the uncertainty in Y and αMLT, we are still able to report statistical uncertainties of 2.5 per cent in mass, 1.2 per cent in radius, and 12 per cent in age. Our method can also be applied to larger samples that will lead to improved constraints on both the population level inference and the star-by-star fundamental parameters.Publisher PDFPeer reviewe

Critical analysis of self-doping and water-soluble n-type organic semiconductors: structures and mechanisms

Self-doping organic semiconductors provide a promising route to avoid instabilities and morphological issues associated with molecular n-type dopants. Structural characterization of a naphthalenetetracarboxylic diimide (NDI) semiconductor covalently bound to an ammonium hydroxide group is presented. The dopant precursor was found to be the product of an unexpected base catalyzed hydrolysis, which was reversible. The reversible hydrolysis had profound consequences on the chemical composition, morphology, and electronic performance of the doped films. In addition, we investigated the degradation mechanism of the quaternary ammonium group and the subsequent doping of NDI. These findings reveal that the products of more than one chemical reaction during processing of films must be considered when utilizing this promising class of water-soluble semiconductors

STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies.

Incomplete reporting has been identified as a major source of avoidable waste in biomedical research. Essential information is often not provided in study reports, impeding the identification, critical appraisal, and replication of studies. To improve the quality of reporting of diagnostic accuracy studies, the Standards for Reporting of Diagnostic Accuracy Studies (STARD) statement was developed. Here we present STARD 2015, an updated list of 30 essential items that should be included in every report of a diagnostic accuracy study. This update incorporates recent evidence about sources of bias and variability in diagnostic accuracy and is intended to facilitate the use of STARD. As such, STARD 2015 may help to improve completeness and transparency in reporting of diagnostic accuracy studies

How can we achieve a sustainable nuclear fuel cycle?

Dealing with spent nuclear fuel is key if nuclear fission is to be used more widely going forward. Nuclear power is close to carbon neutral, but spent nuclear fuel has a storage lifetime of ~300,000 years. Reprocessing spent nuclear fuel is carried out on large scale using the PUREX “Plutonium Uranium Reduction and Extraction” process. The spent nuclear fuel is reduced to 15% of its original weight and the separated uranium and plutonium reused as “Mixed Oxide Fuel”. In the civil sector, this was carried out by the UK at Sellafield (now curtailed) and continues in France at La Hague. A plant in Rokashamura in Japan has been mothballed after the Fukushima accident. The residual waste must be stored for ~9,000 years with most of the remaining radiotoxicity due to traces of the minor actinides, neptunium, americium and curium, constituting just 0.1% of the original spent fuel. Separation of these minor actinides from the chemically very similar lanthanides (rare earths) in the last 15% of waste remaining after PUREX is the key step for future reprocessing. If separated, the minor actinides can be used as fuel in the next generation of nuclear reactors and converted into benign products, but lanthanides will cause the fission process to shut down if introduced into the reactor pile as they absorb neutrons efficiently. Removing the minor actinides from post PUREX waste will mean that the final residue need only be stored for 300 years. The highly challenging separation of the chemically very similar minor actinides from the lanthanides has been achieved using nitrogen-bearing organic ligands developed at Reading University. This can lead to significantly improved handling of spent nuclear fuels and means that waste nuclear fuel need not be a long-term storage liability but a source of yet more clean power

TRY plant trait database – enhanced coverage and open access

Plant traits - the morphological, anatomical, physiological, biochemical and phenological characteristics of plants - determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait‐based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits - almost complete coverage for ‘plant growth form’. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait–environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Genomic reconstruction of the SARS-CoV-2 epidemic in England.

The evolution of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus leads to new variants that warrant timely epidemiological characterization. Here we use the dense genomic surveillance data generated by the COVID-19 Genomics UK Consortium to reconstruct the dynamics of 71 different lineages in each of 315 English local authorities between September 2020 and June 2021. This analysis reveals a series of subepidemics that peaked in early autumn 2020, followed by a jump in transmissibility of the B.1.1.7/Alpha lineage. The Alpha variant grew when other lineages declined during the second national lockdown and regionally tiered restrictions between November and December 2020. A third more stringent national lockdown suppressed the Alpha variant and eliminated nearly all other lineages in early 2021. Yet a series of variants (most of which contained the spike E484K mutation) defied these trends and persisted at moderately increasing proportions. However, by accounting for sustained introductions, we found that the transmissibility of these variants is unlikely to have exceeded the transmissibility of the Alpha variant. Finally, B.1.617.2/Delta was repeatedly introduced in England and grew rapidly in early summer 2021, constituting approximately 98% of sampled SARS-CoV-2 genomes on 26 June 2021

Field bindweed (Convolvulus arvensis L.): Mechanisms of differential glyphosate sensitivity among biotypes, and characterization and breakdown of self-incompatibility

Biotypes of field bindweed differing in their susceptibility to foliar applications of glyphosate were studied to understand the mechanisms involved in this response. Experiments included studies related to glyphosate uptake, translocation, and glyphosate effect on target enzyme (EPSPS) activity and were conducted using whole plants, hydroponically grown plants, in vitro shoot explants, and cell suspension cultures. Further experiments were conducted to overcome sexual reproduction barriers (self-incompatibility) to allow future research into the genetic factors involved in differential response of field bindweed to glyphosate. Experiments with whole plants indicated no differences between biotypes in the uptake and translocation of either foliar- or root-applied glyphosate. However, EPSPS activity increased in all tissues of the more tolerant biotype (biotype 4) within 7 days of glyphosate treatment, but not in the more susceptible biotype (biotype 1). Differences in levels of phenolic compounds and DAHPS activity in untreated shoot tips of the biotypes suggest that the shikimate pathway may be more active in biotype 4 than in biotype 1. In vitro cultured shoots of field bindweed biotypes also varied in glyphosate sensitivity and were used to further evaluate differences between biotypes. Shoots of the biotypes did not differ in the amount of glyphosate absorbed from the medium or in EPSPS activity following glyphosate treatment. In the absence of glyphosate, biotype 4 shoots accumulated more biomass than those of biotype 1, which may indicate greater potential for growth under all conditions. Cell suspension cultures of biotype 1 initially absorbed more glyphosate from the media than biotype 4 cells, though uptake was equal between the biotypes by 24 hours after starting exposure. Metabolism of glyphosate was greater in biotype 4 cells than in those of biotype 1 after 5 days growth in the presence of glyphosate. The self-incompatibility system of field bindweed was determined to be of the multiallelic, sporophytic type. The most effective method to overcome this barrier was by heating stigma tips with a hot soldering iron for 2-3 seconds, followed by self-pollination. This method resulted in production of viable, selfed-seed in amounts equal to that of outcrosses. These studies indicate that multiple mechanisms are involved in determining sensitivity to glyphosate in field bindweed biotypes. These may include activity of the shikimate pathway (or general metabolic vigor), cellular uptake of glyphosate, and metabolism of glyphosate. We now have the ability to genetically manipulate field bindweed to further study the role of these mechanisms in glyphosate sensitivity