7,276 research outputs found
Tuning reaction products by constrained optimisation
We describe an effective means of defining optimisation criteria for self-optimising reactors, applicable to situations where a compromise is sought between several competing objectives. The problem is framed as a constrained optimisation, in which a lead property is optimised subject to constraints on the values that other properties may assume. Compared to conventional methods (using weighted-sum- and weighted-product-based merit functions), the approach described here is more intuitive, easier to implement, and yields an optimised solution that more faithfully reflects user preferences. The method is applied here to the synthesis of o-xylenyl adducts of Buckminsterfullerene, using a cascadic reaction of the form X0 → X1 → X2 → … XN. Specifically, we selectively target the formation of the (technologically useful) first- and second-order adducts X1 and X2, while at the same time suppressing the formation of unwanted higher-order products. More generally, the approach is applicable to any chemical optimisation involving a trade-off between competing criteria. To assist with implementation we provide a self-contained software package for carrying out constrained optimisation, together with detailed tutorial-style instructions
Evidence for variation in the effective population size of animal mitochondrial DNA
Background: It has recently been shown that levels of diversity in mitochondrial DNA are remarkably constant across animals of diverse census population sizes and ecologies, which has led to the suggestion that the effective population of mitochondrial DNA may be relatively constant. Results: Here we present several lines of evidence that suggest, to the contrary, that the effective population size of mtDNA does vary, and that the variation can be substantial. First, we show that levels of mitochondrial and nuclear diversity are correlated within all groups of animals we surveyed. Second, we show that the effectiveness of selection on non-synonymous mutations, as measured by the ratio of the numbers of non-synonymous and synonymous polymorphisms, is negatively correlated to levels of mitochondrial diversity. Finally, we estimate the effective population size of mitochondrial DNA in selected mammalian groups and show that it varies by at least an order of magnitude. Conclusions: We conclude that there is variation in the effective population size of mitochondria. Furthermore we suggest that the relative constancy of DNA diversity may be due to a negative correlation between the effective population size and the mutation rate per generation
Displacement and the public interest in Nigeria: contesting developmental rationales for displacement
The displacement of urban households and livelihoods by state institutions is typically justified on the basis of the developmental purposes of land clearance, purportedly in the public interest. However, conflicts around such displacement highlight both the contested nature of the “public interest” and the unequal position that different urban actors are into shape consensus about what this should constitute. This article draws on research into the relationship between urban infrastructure development and displacement in Nigeria, to explore how actors negotiate their positions vis-a-vis displacement and contest its developmental rationale
Beyond one-dimensional representation: Challenges for Neighbourhood Planning in socially diverse urban settlements in Kisumu, Kenya
Neighbourhood planning bodies have become an increasingly important vehicle for residents in informal settlements in the Global South to pursue their interests, and make claims from city authorities. This paper explores the contribution that the structured representation of subaltern groups in Neighbourhood Planning Associations (NPAs) has made to the inclusiveness of neighbourhood planning initiatives in Kisumu, Kenya. At the same time, we explore the limitations of the emphasis on numerical representation of different social categories in NPAs, including: the ways in which the definition of social categories can reinforce existing power relations; the need to analyse and understand the relationship between planning claims and wider social and city-scale inequalities, and; the danger of concealing identity based conflicts of interests, and inequalities, when engaged in consensus building planning methodologies. Building on this analysis we present some principles for a 'diversity planning' approach to neighbourhood level planning
Probabilistic linkage without personal information successfully linked national clinical datasets: Linkage of national clinical datasets without patient identifiers using probabilistic methods.
BACKGROUND: Probabilistic linkage can link patients from different clinical databases without the need for personal information. If accurate linkage can be achieved, it would accelerate the use of linked datasets to address important clinical and public health questions. OBJECTIVE: We developed a step-by-step process for probabilistic linkage of national clinical and administrative datasets without personal information, and validated it against deterministic linkage using patient identifiers. STUDY DESIGN AND SETTING: We used electronic health records from the National Bowel Cancer Audit (NBOCA) and Hospital Episode Statistics (HES) databases for 10,566 bowel cancer patients undergoing emergency surgery in the English National Health Service. RESULTS: Probabilistic linkage linked 81.4% of NBOCA records to HES, versus 82.8% using deterministic linkage. No systematic differences were seen between patients that were and were not linked, and regression models for mortality and length of hospital stay according to patient and tumour characteristics were not sensitive to the linkage approach. CONCLUSION: Probabilistic linkage was successful in linking national clinical and administrative datasets for patients undergoing a major surgical procedure. It allows analysts outside highly secure data environments to undertake linkage while minimising costs and delays, protecting data security, and maintaining linkage quality
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