Quantum Correlations from the Conditional Statistics of Incomplete Data

We study, in theory and experiment, the quantum properties of correlated light fields measured with click-counting detectors providing incomplete information on the photon statistics. We establish a correlation parameter for the conditional statistics, and we derive the corresponding nonclassicality criteria for detecting conditional quantum correlations. Classical bounds for Pearson's correlation parameter are formulated that allow us, once they are violated, to determine nonclassical correlations via the joint statistics. On the one hand, we demonstrate nonclassical correlations in terms of the joint click statistics of light produced by a parametric down conversion source. On the other hand, we verify quantum correlations of a heralded, split single-photon state via the conditional click statistics together with a generalization to higher-order moments. We discuss the performance of the presented nonclassicality criteria to successfully discern joint and conditional quantum correlations. Remarkably, our results are obtained without making any assumptions on the response function, quantum efficiency, and dark-count rate of the photodetectors

Regulating factory safety in the Bangladeshi garment industry

This paper examines how far the workplace inspection programme established under the 2013 Accord on Fire and Building Safety has served to improve safety in Bangladesh garment factories, and the extent to which its operation has been influenced by the factors that the literature suggests are important in shaping the outcomes of private regulatory initiatives. Its findings suggest that such regulation can generate positive outcomes, even in the absence of strong public regulatory support. They also caution against discounting the role of compliance-based enforcement strategies, while highlighting the importance of their adequate resourcing and transparency. Some support is also offered for the argument that such regulatory initiatives could directly influence the market dynamics that shape supplier working conditions

Short communication:Identifying key parameters for modelling the impacts of livestock health conditions on greenhouse gas emissions

Improved animal health can reduce greenhouse gas (GHG) emissions intensity in livestock systems while increasing productivity. Integrated modelling of disease impacts on farm-scale emissions is important in identifying effective health strategies to reduce emissions. However, it requires that modellers understand the pathways linking animal health to emissions and how these might be incorporated into models. A key barrier to meeting this need has been the lack of a framework to facilitate effective exchange of knowledge and data between animal health experts and emissions modellers. Here, these two communities engaged in workshops, online exchanges and a survey to i) identify a comprehensive list of disease-related model parameters and ii) test its application to evaluating models. Fifty-six parameters were identified and proved effective in assessing the potential of farm-scale models to characterise livestock disease impacts on GHG emissions. Easy wins for the emissions models surveyed include characterising disease impacts related to feeding

Health-related quality of life impact of cobimetinib in combination with vemurafenib in patients with advanced or metastatic BRAFV600 mutation-positive melanoma

Background: In the coBRIM study, cobimetinib plus vemurafenib (C+V) significantly improved survival outcomes vs placebo and vemurafenib (P+V) in patients with advanced/metastatic BRAF(V600)-mutated melanoma. An analysis of health-related quality of life (HRQOL) from coBRIM is reported.Methods: Patients completing the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (QLQ-C30) at baseline and >= 1 time point thereafter constituted the analysis population. Change from baseline >= 10 points was considered clinically meaningful.Results: Mean baseline scores for all QLQ-C30 domains were similar between arms. Most on-treatment scores for QLQ-C30 domains were also comparable between arms. A transient deterioration in role function in cycle 1 day 15 (C1D15; -14.7 points) in the P+V arm and improvement in insomnia in the C+V arm at C2D15 (-12.4 points) was observed. Among patients who experienced a >= 10-point change from baseline (responders), between-group differences were greatest for insomnia (16%), social functioning (10%), fatigue (9%) and pain (7%), all favouring C+V. Diarrhoea, photosensitivity reaction, pyrexia, and rash did not meaningfully affect global health status (GHS). Serous retinopathy was associated with a transient decrease in GHS at C1D15 assessment.Conclusions: In patients with advanced/metastatic BRAFV600-mutated melanoma, treatment with C+V maintained HRQOL compared with P+V, with superior efficacy

To what extent is climate change adaptation a novel challenge for agricultural modellers?

Modelling is key to adapting agriculture to climate change (CC), facilitating evaluation of the impacts and efficacy of adaptation measures, and the design of optimal strategies. Although there are many challenges to modelling agricultural CC adaptation, it is unclear whether these are novel or, whether adaptation merely adds new motivations to old challenges. Here, qualitative analysis of modellers’ views revealed three categories of challenge: Content, Use, and Capacity. Triangulation of findings with reviews of agricultural modelling and Climate Change Risk Assessment was then used to highlight challenges specific to modelling adaptation. These were refined through literature review, focussing attention on how the progressive nature of CC affects the role and impact of modelling. Specific challenges identified were: Scope of adaptations modelled, Information on future adaptation, Collaboration to tackle novel challenges, Optimisation under progressive change with thresholds, and Responsibility given the sensitivity of future outcomes to initial choices under progressive change

Patient perspectives on molecular tumor profiling: "why wouldn't you?"

© 2019 The Author(s). Aim: This study explored the attitudes of patients with advanced cancer towards MTP and return of results, prior to undergoing genomic testing within a research program. Methods: Participants were recruited as part of the longitudinal PiGeOn (Psychosocial Issues in Genomics in Oncology) study involving patients with advanced/metastatic solid cancer who had exhausted therapeutic options and who were offered MTP in order to identify cognate therapies. Twenty patients, selected by purposive sampling, were interviewed around the time they gave consent to MTP. Interviews were audio recorded, transcribed and analysed using thematic analysis. Themes identified in the transcripts were cross-validated via qualitative responses to the PiGeOn study survey (n = 569; 63%). Results: All interviewed participants gave consent to MTP without reservation. Three themes were identified and further supported via the survey responses: (1) Obvious agreement to participate, primarily because of desire for new treatments and altruism. (2) The black box - while participant knowledge of genomics was generally poor, faith in their oncologists and the scientific process encouraged them to proceed with testing; and (3) Survival is the priority - receiving treatment to prolong life was the priority for all participants, and other issues such as identification of a germline variant were generally seen as ancillary. Conclusion: Having advanced cancer seemed to abrogate any potential concerns about MTP. Participants valued the research for varied reasons, but this was secondary to their priority to survive. While no negative attitudes toward MTP emerged, limitations in understanding of genomics were evident