Is child weight status correctly reported to parents? Cross-sectional analysis of National Child Measurement Programme data using ethnic-specific BMI adjustments.

BACKGROUND: BMI underestimates and overestimates body fat in children from South Asian and Black ethnic groups, respectively. METHODS: We used cross-sectional NCMP data (2015-17) for 38 270 children in three inner-London local authorities: City & Hackney, Newham and Tower Hamlets (41% South Asian, 18.8% Black): 20 439 4-5 year-olds (48.9% girls) and 17 831 10-11 year-olds (49.1% girls). We estimated the proportion of parents who would have received different information about their child's weight status, and the area-level prevalence of obesity-defined as ≥98th centile-had ethnic-specific BMI adjustments been employed in the English National Child Measurement Programme (NCMP). RESULTS: Had ethnic-specific adjustment been employed, 19.7% (3112/15 830) of parents of children from South Asian backgrounds would have been informed that their child was in a heavier weight category, and 19.1% (1381/7217) of parents of children from Black backgrounds would have been informed that their child was in a lighter weight category. Ethnic-specific adjustment increased obesity prevalence from 7.9% (95% CI: 7.6, 8.3) to 9.1% (8.7, 9.5) amongst 4-5 year-olds and from 17.5% (16.9, 18.1) to 18.8% (18.2, 19.4) amongst 10-11 year-olds. CONCLUSIONS: Ethnic-specific adjustment in the NCMP would ensure equitable categorization of weight status, provide correct information to parents and support local service provision for families

Mammographic image restoration using maximum entropy deconvolution

An image restoration approach based on a Bayesian maximum entropy method (MEM) has been applied to a radiological image deconvolution problem, that of reduction of geometric blurring in magnification mammography. The aim of the work is to demonstrate an improvement in image spatial resolution in realistic noisy radiological images with no associated penalty in terms of reduction in the signal-to-noise ratio perceived by the observer. Images of the TORMAM mammographic image quality phantom were recorded using the standard magnification settings of 1.8 magnification/fine focus and also at 1.8 magnification/broad focus and 3.0 magnification/fine focus; the latter two arrangements would normally give rise to unacceptable geometric blurring. Measured point-spread functions were used in conjunction with the MEM image processing to de-blur these images. The results are presented as comparative images of phantom test features and as observer scores for the raw and processed images. Visualization of high resolution features and the total image scores for the test phantom were improved by the application of the MEM processing. It is argued that this successful demonstration of image de-blurring in noisy radiological images offers the possibility of weakening the link between focal spot size and geometric blurring in radiology, thus opening up new approaches to system optimization.Comment: 18 pages, 10 figure

Two dimensional XXZ-Ising model on square-hexagon lattice

We study a two dimensional XXZ-Ising on square-hexagon (4-6) lattice with spin-1/2. The phase diagram of the ground state energy is discussed, shown two different ferrimagnetic states and two type of antiferromagnetic states, beside of a ferromagnetic state. To solve this model, it could be mapped into the eight-vertex model with union jack interaction term. Imposing exact solution condition we find the region where the XXZ-Ising model on 4-6 lattice have exact solutions with one free parameter, for symmetric eight-vertex model condition. In this sense we explore the properties of the system and analyze the competition of the interaction parameters providing the region where it has an exact solution. However the present model does not satisfy the \textit{free fermion} condition, unless for a trivial situation. Even so we are able to discuss their critical points region, when the exactly solvable condition is ignored.Comment: 5 pages, 5 figure

The Ertebølle zooarchaeological dataset from southern Scandinavia

Interdisciplinary archaeological research in southern Scandinavia has a very long history of practice, starting in the mid-19th Century and continuing to the present. In particular, research concerning the late Mesolithic hunter-gatherer-fisher Ertebølle culture (5400-3950 cal BC) has resulted in a large zooarchaeological dataset potentially useable in large-scale comparative, or meta-analyses. In this paper, we review this dataset, and the quantity and character of the data is described. We then address particularities of the published data that may affect comparative analyses. By focusing on fragmentation and bone condition as major influencing factors on published quantitative statistics, we demonstrate that caution is warranted in comparisons between these types of data deriving from Ertebølle assemblages. Nevertheless, we focus on the dataset as a valuable resource for understanding variability in hunter-gatherer-fisher food economies and how to best mitigate potential issues in selection and use of the data in comparative studies. We do so by discussing types of comparative analyses that are most likely to provide valuable information about the human past. Lastly, we propose a series of recommendations that should inform and ensure the comparability of future Ertebølle research, and present our review as a case study in zooarchaeological meta-analyse

Progress in using the electronic health record to improve primary care.

Improvement science has been transformed by the electronic health record (EHR) making it possible to share data for patient and population benefit across primary and secondary care organisations, with further linkage to public health, social services, and national registries. Health data analysis is an enabling technology for systems of improvement, promoting behavioural change in professionals and social change and innovation in organisations for patient and citizen benefit. The ability to learn from every patient contact and provide appropriate organisational responses to population needs has been termed a learning health system. The development of IT enabled learning health systems is a journey on which health services have only recently begun. This report describes the impact trajectory over three decades of the Clinical Effectiveness Group (CEG), a quality improvement (QI) organisation serving a population of 2 million in east London. The core aims include delivering improvements to primary care disease management and reducing health inequalities. Commissioning support, public health and research linkage are further derivatives enabled from the curated EHR. CEG has built capacity for real-time monitoring of services from all inner east London GP practices, with support for QI programmes helping to transform service delivery across the primary/secondary interface. The clinical performance of these localities now rank top in national and some international performance metrics. CEG also supports new initiatives to deliver an integrated EHR platform for all primary, secondary and other health and social data sources to provide both direct clinical care and data for secondary uses. This agenda is aligned with national strategy in the NHS England Forward View and the Wachter Report both of which highlight the synergistic gains from aligning improved data uses, quality improvement and health data science

Multiple case-study analysis of quality management practices within UK Six Sigma and non-Six Sigma manufacturing small- and medium-sized enterprises

This paper examines multiple case-study analysis of quality management practices within UK Six Sigma and non-Six Sigma manufacturing small- and medium-sized enterprises

Salivary nicotine and cotinine concentrations in unstimulated and stimulated saliva

Salivary nicotine and salivary cotinine is widely used in clinical and epidemiological studies to validate smoking cessation. However, the reported collection for salivary nicotine and salivary cotinine vary by technique and duration. This study investigated the influence of salivary collection by unstimulation and stimulation technique of the concentration of salivary nicotine and salivary cotinine. It was found that unstimulated technique produced the highest salivary nicotine concentration, whereas stimulated technique produced the highest salivary cotinine concentration. The results of this study suggest that it is important to standardise salivary nicotine and cotinine collection technique. This record was migrated from the OpenDepot repository service in June, 2017 before shutting down

Proteomic identification of heterogeneous nuclear ribonucleoprotein L as a novel component of SLM/Sam68 nuclear bodies

Background: Active pre-mRNA splicing occurs co-transcriptionally, and takes place throughout the nucleoplasm of eukaryotic cells. Splicing decisions are controlled by networks of nuclear RNA-binding proteins and their target sequences, sometimes in response to signalling pathways. Sam68 (Src-associated in mitosis 68 kDa) is the prototypic member of the STAR (Signal Transduction and Activation of RNA) family of RNA-binding proteins, which regulate splicing in response to signalling cascades. Nuclear Sam68 protein is concentrated within subnuclear organelles called SLM/Sam68 Nuclear Bodies (SNBs), which also contain some other splicing regulators, signalling components and nucleic acids. Results: We used proteomics to search for the major interacting protein partners of nuclear Sam68. In addition to Sam68 itself and known Sam68-associated proteins (heterogeneous nuclear ribonucleoproteins hnRNP A1, A2/B1 and G), we identified hnRNP L as a novel Sam68-interacting protein partner. hnRNP L protein was predominantly present within small nuclear protein complexes approximating to the expected size of monomers and dimers, and was quantitatively associated with nucleic acids. hnRNP L spatially co-localised with Sam68 as a novel component of SNBs and was also observed within the general nucleoplasm. Localisation within SNBs was highly specific to hnRNP L and was not shared by the closely-related hnRNP LL protein, nor any of the other Sam68-interacting proteins we identified by proteomics. The interaction between Sam68 and hnRNP L proteins was observed in a cell line which exhibits low frequency of SNBs suggesting that this association also takes place outside SNBs. Although ectopic expression of hnRNP L and Sam68 proteins independently affected splicing of CD44 variable exon v5 and TJP1 exon 20 minigenes, these proteins did not, however, co-operate with each other in splicing regulation of these target exons. Conclusion: Here we identify hnRNP L as a novel SNB component. We show that, compared with other identified Sam68-associated hnRNP proteins and hnRNP LL, this co-localisation within SNBs is specific to hnRNP L. Our data suggest that the novel Sam68-hnRNP L protein interaction may have a distinct role within SNBs