Beyond Money: A Study of Funding Plus in the UK

This report examines different approaches to funding plus used by UK charitable foundations. In addition, the survey tries to uncover the principal benefits, challenges and risks of these approaches in order to generate practically useful learning about funding plus.In this regard, the research found that the funding plus field comprises a broad range of definitions, purposes and activity. Within this we were able to identify five overarching preconditions for success in funding plus:- strong personal relationships- good knowledge of grantees and the sector in which they operate- grantees that are ready and willing for an engaged relationship with a funder- bespoke rather than standardised or prescriptive approaches- careful and responsible management of power relationships between funder and grante

Critical oppositions : realism, postmodernism and the reception of contemporary American fiction.

SIGLEAvailable from British Library Document Supply Centre-DSC:DXN038681 / BLDSC - British Library Document Supply CentreGBUnited Kingdo

The Human Element of Decision Making in Systems Engineers: A Focus on Optimism

Biases continue to be an important aspect of human judgment and decision making because they can lead to unfavorable outcomes. Optimism bias is one type of bias that is often overlooked because of its association with good health and positive outcomes. However, the existence of optimism bias in human judgment can be very damaging especially when it distorts a person’s view of future events. In order to better understand optimism bias we explore the benefits and downsides of optimism as well as some empirically-based origins of both optimism and pessimism. This provides a backdrop for a methodology for quantifying optimism and pessimism using the Brier score developed for calibrating weather reporters and a discussion about how sports bookies make well-calibrated decisions. Results are explored from an optimism survey given to a cohort of eighty systems engineers, which ultimately portray the degree to which optimism bias influences decision making in large projects. Further exploration of the key differences in optimism across professions helps distinguish motivational factors and characteristics of well-calibrated professions. We also present results from a calibration exercise, designed to infer if such activities can be adopted to assist systems engineering estimation. Finally, we provide prescriptive advice on how individual decision makers can better manage their optimism and become more realistic

Edward Thompson's Ethics and Activism 1956–1963: Reflections on the Political Formation of The Making of the English Working Class

As well as a work of history, E. P. Thompson's The Making of the English Class (London: Gollancz, 1963) was written as a strategic intervention in wider political debates of the late 1950s about working class consciousness, identity, agency and organisation, and as a sustained expression and application of ‘socialist humanism’ to historical subjects. This essay situates the book within these debates, moving between The Making and Thompson's writings within the New Left, to show how the characteristic themes of his work—moral choice and agency, the complexities of working-class consciousness and culture, the role of intellectuals and of an ‘organised minority’—were developed through both. This provides us with a richer context for understanding both the moral sensibility that animates the book and key elements of its historiographical standpoint

Be prepared: communism and the politics of scouting in 1950s Britain

This article examines the exposure, and in some cases dismissal, of Boy Scouts who belonged or sympathised with the Young Communist League in Britain during the early 1950s. A focus on the rationale and repercussions of the organisation's approach and attitudes towards ‘Red Scouts’ found within their ‘ranks’ extends our understanding of youth movements and their often complex and conflicting ideological foundations. In particular, the post-World War Two period presented significant challenges to these spaces of youth work in terms of broader social and political change in Britain. An analysis of the politics of scouting in relation to Red Scouts questions not only the assertion that British McCarthyism was ‘silent’, but also brings young people firmly into focus as part of a more everyday politics of communism in British society

A Metaheuristic Framework for Bi-level Programming Problems with Multi-disciplinary Applications

Bi-level programming problems arise in situations when the decision maker has to take into account the responses of the users to his decisions. Several problems arising in engineering and economics can be cast within the bi-level programming framework. The bi-level programming model is also known as a Stackleberg or leader-follower game in which the leader chooses his variables so as to optimise his objective function, taking into account the response of the follower(s) who separately optimise their own objectives, treating the leader’s decisions as exogenous. In this chapter, we present a unified framework fully consistent with the Stackleberg paradigm of bi-level programming that allows for the integration of meta-heuristic algorithms with traditional gradient based optimisation algorithms for the solution of bi-level programming problems. In particular we employ Differential Evolution as the main meta-heuristic in our proposal.We subsequently apply the proposed method (DEBLP) to a range of problems from many fields such as transportation systems management, parameter estimation and game theory. It is demonstrated that DEBLP is a robust and powerful search heuristic for this class of problems characterised by non smoothness and non convexity

Blood transcriptional biomarkers of acute viral infection for detection of pre-symptomatic SARS-CoV-2 infection: a nested, case-control diagnostic accuracy study

Background We hypothesised that host-response biomarkers of viral infections might contribute to early identification of individuals infected with SARS-CoV-2, which is critical to breaking the chains of transmission. We aimed to evaluate the diagnostic accuracy of existing candidate whole-blood transcriptomic signatures for viral infection to predict positivity of nasopharyngeal SARS-CoV-2 PCR testing.Methods We did a nested case-control diagnostic accuracy study among a prospective cohort of health-care workers (aged ≥18 years) at St Bartholomew’s Hospital (London, UK) undergoing weekly blood and nasopharyngeal swab sampling for whole-blood RNA sequencing and SARS-CoV-2 PCR testing, when fit to attend work. We identified candidate blood transcriptomic signatures for viral infection through a systematic literature search. We searched MEDLINE for articles published between database inception and Oct 12, 2020, using comprehensive MeSH and keyword terms for “viral infection”, “transcriptome”, “biomarker”, and “blood”. We reconstructed signature scores in blood RNA sequencing data and evaluated their diagnostic accuracy for contemporaneous SARS-CoV-2 infection, compared with the gold standard of SARS-CoV-2 PCR testing, by quantifying the area under the receiver operating characteristic curve (AUROC), sensitivities, and specificities at a standardised Z score of at least 2 based on the distribution of signature scores in test-negative controls. We used pairwise DeLong tests compared with the most discriminating signature to identify the subset of best performing biomarkers. We evaluated associations between signature expression, viral load (using PCR cycle thresholds), and symptom status visually and using Spearman rank correlation. The primary outcome was the AUROC for discriminating between samples from participants who tested negative throughout the study (test-negative controls) and samples from participants with PCR-confirmed SARS-CoV-2 infection (test-positive participants) during their first week of PCR positivity.Findings We identified 20 candidate blood transcriptomic signatures of viral infection from 18 studies and evaluated their accuracy among 169 blood RNA samples from 96 participants over 24 weeks. Participants were recruited between March 23 and March 31, 2020. 114 samples were from 41 participants with SARS-CoV-2 infection, and 55 samples were from 55 test-negative controls. The median age of participants was 36 years (IQR 27–47) and 69 (72%) of 96 were women. Signatures had little overlap of component genes, but were mostly correlated as components of type I interferon responses. A single blood transcript for IFI27 provided the highest accuracy for discriminating between test-negative controls and test-positive individuals at the time of their first positive SARS-CoV-2 PCR result, with AUROC of 0·95 (95% CI 0·91–0·99), sensitivity 0·84 (0·70–0·93), and specificity 0·95 (0·85–0·98) at a predefined threshold (Z score >2). The transcript performed equally well in individuals with and without symptoms. Three other candidate signatures (including two to 48 transcripts) had statistically equivalent discrimination to IFI27 (AUROCs 0·91–0·95).Interpretation Our findings support further urgent evaluation and development of blood IFI27 transcripts as a biomarker for early phase SARS-CoV-2 infection for screening individuals at high risk of infection, such as contacts of index cases, to facilitate early case isolation and early use of antiviral treatments as they emerge

Quantitative, multiplexed, targeted proteomics for ascertaining variant specific SARS-CoV-2 antibody response

Determining the protection an individual has to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) variants of concern (VoCs) is crucial for future immune surveillance, vaccine development, and understanding of the changing immune response. We devised an informative assay to current ELISA-based serology using multiplexed, baited, targeted proteomics for direct detection of multiple proteins in the SARS-CoV-2 anti-spike antibody immunocomplex. Serum from individuals collected after infection or first- and second-dose vaccination demonstrates this approach and shows concordance with existing serology and neutralization. Our assays show altered responses of both immunoglobulins and complement to the Alpha (B.1.1.7), Beta (B.1.351), and Delta (B.1.617.1) VoCs and a reduced response to Omicron (B1.1.1529). We were able to identify individuals who had prior infection, and observed that C1q is closely associated with IgG1 (r > 0.82) and may better reflect neutralization to VoCs. Analyzing additional immunoproteins beyond immunoglobulin (Ig) G, provides important information about our understanding of the response to infection and vaccination