Geoengineering marine stratocumulus clouds

Marine cloud brightening (MCB) geoengineering has been proposed as a means of ameliorating anthropogenic climate change. High concentrations of nanometre-sized aerosols would be emitted from seagoing vessels, with the intention of increasing the albedo of low-lying marine stratocumulus clouds (MSc) via indirect aerosol effects. Realistic estimates of the potential effectiveness of MCB are needed to inform policy-making on climate change. However, in spite of increasing model complexity and developments in representing MCB, the relatively coarse resolution of global-scale models prevents implementation details from being captured. This work identified three previously unrepresented implementation details, and examined their importance in achieving realistic estimates of MCB effectiveness. For this, the Weather Research and Forecasting model incorporating aerosol processes (WRF/Chem) was used, allowing clouds to be resolved over a kilometre-scale domain. Firstly, for a weakly precipitating cloud regime, cloud brightening was found to be sensitive to the timing of MCB aerosol emissions. The largest cloud albedo increase occurred for early morning emissions, with little change occurring for daytime emissions. Timing was less important for the non-precipitating regime where cloud albedo perturbations were generally smaller owing to the absence of a large second indirect (or ‘cloud lifetime’) effect. Secondly, near-surface evaporative cooling resulting from the more realistic simulation of MCB emissions as wet droplets rather than the previously assumed dry aerosols reduced aerosol plume heights by up to 30% (40 m), reducing cloud albedo increases by up to one-third. Finally, aerosol coagulation within the MCB aerosol plume (simulated at sub-metre resolution) resulted in number concentration decreases of up to 50%, consequentially reducing the cloud albedo increases by approximately half for the non-precipitating regime. These findings suggest that in omitting these details, global-scale model estimates of MCB effectiveness may be exaggerated. The inclusion of these details in global-scale MCB modelling could therefore materially improve the realism of future effectiveness estimates

Targeted search for the kinematic dipole of the gravitational-wave background

There is growing interest in using current and future gravitational-wave interferometers to search for anisotropies in the gravitational-wave background. One guaranteed anisotropic signal is the kinematic dipole induced by our peculiar motion with respect to the cosmic rest frame, as measured in other full-sky observables such as the cosmic microwave background. Our prior knowledge of the amplitude and direction of this dipole is not explicitly accounted for in existing searches by LIGO/Virgo/KAGRA, but could provide crucial information to help disentangle the sources which contribute to the gravitational-wave background. Here we develop a targeted search pipeline which uses this prior knowledge to enable unbiased and minimum-variance inference of the dipole magnitude. Our search generalises existing methods to allow for a time-dependent signal model, which captures the annual modulation of the dipole due to the Earth's orbit. We validate our pipeline on mock data, demonstrating that neglecting this time dependence can bias the inferred dipole by as much as $\sim10\%$. We then run our analysis on the full LIGO/Virgo O1+O2+O3 dataset, obtaining upper limits on the dipole amplitude that are consistent with existing anisotropic search results.Comment: 12 pages, 3 figure

The complete mitochondrial genome of the pink sea fan, Eunicella verrucosa (Pallas, 1766).

This is the final version. Available from Taylor & Francis via the DOI in this record. The genome sequence data for this study are openly available in GenBank of NCBI at https://www.ncbi.nlm.nih.gov/nuccore/MW588805 under accession number MW588805.The pink sea fan, Eunicella verrucosa (Pallas, 1766), inhabits rocky substrates across the northeast Atlantic and the western Mediterranean. Across much of its range it has been detrimentally affected by fishing. DNA from 17 E. verrucosa specimens was amplified by phi29-induced rolling circle amplification. Following purification by sodium acetate-ethanol precipitation, the circular genomic DNA was sequenced on an Illumina MiSeq v2. Specimens originated from sites along the west coast of Ireland, southwest Wales, southwest/southern England, northwest France, southern Portugal, and the Mediterranean coast of northeast Spain. All samples had identical mitochondrial genome sequences of 19,267 bp and included 14 protein-coding genes (including the mutS gene), two ribosomal RNA subunits (12S and 16S) and one methionine tRNA gene. Two genes (nad2 and nad5) overlapped by 13 bp; all other genes were separated by non-coding intergenic regions. All protein-coding genes had the same start codon (ATG) and a TAA or TAG stop codon, except for cox1 that terminated with the incomplete stop codon T--. The mitochondrial genome of E. verrucosa (MW588805) showed 99.72% similarity with that of a related sea fan species, Eunicella cavolini, with six SNPs and a 49 bp deletion between nad5 and nad4 in E. verrucosa distinguishing the two.European Unio

The imperialist claws of MetaCapitalism

The information and industrial revolutions are so different and yet similar. Both enjoyed the emergence of accounting measurement and management techniques which privileged the efficient allocation of resources as the principal imperative to a firm\u27s participation in a free market economy. MetaCapitalism is one such corporate change strategy which promised untold wealth and unprecedented growth, and under that guise a predatory Darwinistic corporate strategy was implemented. Fundamentally, it promotes extreme outsourcing and downsizing of human capital, de-capitalisation of all non-core capital assets and the diminished role of the State in the global free market economy. Yet the most disturbing aspect is its complete and total disregard for even the slightest social or public policy implications. Essentially then, its most salient danger is an unmistakable endorsement of a fundamentalist brand of value free, reckless capitalism that is ultimately detrimental not only to the long-term business interest, but human as well. One of the main findings of evaluating the Fortune 100 companies\u27 performance in implementing MetaCapitalism was the resulting monopolies. Lenin described monopolies as essential to imperialism which is the highest stage of capitalism. The parallels between the resulting monopolies under MetaCapitalism, and what Lenin described as the final stage of Capitalism are poignant. I would like to draw upon those parallels in the hope that earlier work might enlighten our understanding and inform our critique of MetaCapiatlism

Considering the role of cognitive control in expert performance

© 2014, Springer Science+Business Media Dordrecht. Dreyfus and Dreyfus’ (1986) influential phenomenological analysis of skill acquisition proposes that expert performance is guided by non-cognitive responses which are fast, effortless and apparently intuitive in nature. Although this model has been criticised (e.g., by Breivik Journal of Philosophy of Sport, 34, 116–134 2007, Journal of the Philosophy of Sport, 40, 85–106 2013; Eriksen 2010; Montero Inquiry:An interdisciplinary Journal of Philosophy, 53, 105–122 2010; Montero and Evans 2011) for over-emphasising the role that intuition plays in facilitating skilled performance, it does recognise that on occasions (e.g., when performance goes awry for some reason) a form of ‘detached deliberative rationality’ may be used by experts to improve their performance. However, Dreyfus and Dreyfus (1986) see no role for calculative problem solving or deliberation (i.e., drawing on rules or mental representations) when performance is going well. In the current paper, we draw on empirical evidence, insights from athletes, and phenomenological description to argue that ‘continuous improvement’ (i.e., the phenomenon whereby certain skilled performers appear to be capable of increasing their proficiency even though they are already experts; Toner and Moran 2014) among experts is mediated by cognitive (or executive) control in three distinct sporting situations (i.e., in training, during pre-performance routines, and while engaged in on-line skill execution). We conclude by arguing that Sutton et al. Journal of the British Society for Phenomenology, 42, 78–103 (2011) ‘applying intelligence to the reflexes’ (AIR) approach may help to elucidate the process by which expert performers achieve continuous improvement through analytical/mindful behaviour during training and competition

Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England

Introduction: The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus (coronavirus disease 2019 [COVID-19]) pandemic revealed the vulnerability of specific population groups in relation to susceptibility to acute deterioration in their health, including hospital admission and mortality. There is less data on outcomes for people with type 1 diabetes (T1D) following SARS-CoV-2 infection than for those with type 2 diabetes (T2D). In this study we set out to determine the relative likelihood of hospital admission following SARS-CoV-2 infection in people with T1D when compared to those without T1D. Methods: This study was conducted as a retrospective cohort study and utilised an all-England dataset. Electronic health record data relating to people in a national England database (NHS England’s Secure Data Environment, accessed via the BHF Data Science Centre's CVD-COVID-UK/COVID-IMPACT consortium) were analysed. The cohort consisted of patients with a confirmed SARS-CoV-2 infection, and the exposure was whether or not an individual had T1D prior to infection (77,392 patients with T1D). The patients without T1D were matched for sex, age and approximate date of the positive COVID-19 test, with three SARS-CoV-2-infected people living without diabetes (n = 223,995). Potential factors influencing the relative likelihood of the outcome of hospital admission within 28 days were ascertained using univariable and multivariable logistic regression. Results: Median age of the people living with T1D was 37 (interquartile range 25–52) years, 47.4% were female and 89.6% were of white ethnicity. Mean body mass index was 27 (standard error [SE] 0.022) kg/m2, and mean glycated haemoglobin (HbA1c) was 67.3 (SE 0.069) mmol/mol (8.3%). A significantly higher proportion of people with T1D (10.7%) versus matched non-diabetes individuals (3.9%) were admitted to hospital. In combined analysis including individuals with T1D and matched controls, multiple regression modelling indicated that the factors independently relating to a higher likelihood of hospital admission were: T1D (odds ratio [OR] 1.71, 95% confidence interval [CI] 1.62–1.80]), age (OR 1.02, 95% CI 1.02–1.03), social deprivation (higher Townsend deprivation score: OR 1.07, 95% CI 1.06–1.08), lower estimated glomerular filtration rate (eGFR) value (OR 0.975, 95% CI 0.974–0.976), non-white ethnicity (OR black 1.19, 95% CI 1.06–1.33/OR Asian 1.21, 95% CI 1.05–1.39) and having asthma (OR 1.27, 95% CI 1.19–1.35]), chronic obstructive pulmonary disease (OR 2.10, 95% CI 1.89–2.32), severe mental illness (OR 1.83, 95% CI 1.57–2.12) or hypertension (OR 1.44, 95% CI 1.37–1.52). Conclusion: In this all-England study, we describe that, following confirmed infection with SARS-CoV-2, the risk factors for hospital admission for people living with T1D are similar to people without diabetes following confirmed SARS-CoV-2 infection, although the former were more likely to be admitted to hospital. The younger age of individuals with T1D in relation to risk stratification must be taken into account in any ongoing risk reduction strategies regarding COVID-19/future viral pandemics

Correction to: Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England

The article “Sars-Cov-2 Infection in People with Type 1 Diabetes and Hospital Admission: An Analysis of Risk Factors for England”, written by Adrian H. Heald, David A. Jenkins, Richard Williams, Rajshekhar N. Mudaliar, Amber Khan, Akheel Syed, Naveed Sattar, Kamlesh Khunti, Asma Naseem, Kelly A. Bowden-Davies, J. Martin Gibson, William Ollier, on behalf of the CVD-COVID-UK/COVID-IMPACT Consortium was originally published electronically on the publisher’s Internet portal (currently SpringerLink) on August 25, 2023, without open access. Now, the article is updated with open access as This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The original article has been corrected

A review of clinical decision-making: Models and current research

Aims and objectives: The aim of this paper was to review the current literature with respect to clinical decision-making models and the educational application of models to clinical practice. This was achieved by exploring the function and related research of the three available models of clinical decision making: information processing model, the intuitive-humanist model and the clinical decision making model. Background: Clinical decision-making is a unique process that involves the interplay between knowledge of pre-existing pathological conditions, explicit patient information, nursing care and experiential learning. Historically, two models of clinical decision making are recognised from the literature; the information processing model and the intuitive-humanist model. The usefulness and application of both models has been examined in relation the provision of nursing care and care related outcomes. More recently a third model of clinical decision making has been proposed. This new multidimensional model contains elements of the information processing model but also examines patient specific elements that are necessary for cue and pattern recognition. Design: Literature review Methods: Evaluation of the literature generated from MEDLINE, CINAHL, OVID, PUBMED and EBESCO systems and the Internet from 1980 – November 2005