Predictors of social service contact among teenagers in England

Very few UK studies make use of longitudinal general population data to explore social service contact for children and young people. Those that do only look at specific interventions such as care placements. This paper seeks to address this gap by asking to what extent do structural, neighbourhood, familial and individual characteristics predict social service contact. We provide an empirical answer by analysing the Longitudinal Survey of Young People in England, which includes data on social service contact in connection with young people's behaviour. Our findings indicate that social class, gender, ethnicity, stepfamily status and special education needs are all significant predictors of social service contact. Difficult parent–child relationships, frequent arguments and parents' lack of engagement with school meetings also matter, as does young people's own risk-taking behaviour. We conclude with a discussion of the limitation of the data for social work research and the implications of the findings

Assembling life history narratives from quantitative longitudinal panel data: what’s the story for families using social work?

Embedded within quantitative longitudinal panel or cohort studies is narrative potential that is arguably untapped but might enrich our understanding of individual and social lives across time. This paper discusses a methodology to assemble the life history narratives of families using social work by drawing on quantitative data from the British Household Panel Survey. It explores whether this person-centred approach helps us to understand the counterintuitive results of a parallel multivariate analyses, which suggest that families using social work fare worse than similar others over time. Our findings are tentative, due to the experimental use of this narrative method and the limits of social work information in the dataset. Nonetheless, the life histories presented bring to light complexities, diversity and the non-linear pathways between families’ needs, support and outcomes that the aggregates obscure. We conclude that reconstructing families’ lives in this way, especially in the absence of complementary longitudinal qualitative data, affords the wider opportunity to interrogate and better understand the findings of quantitative longitudinal studies

Analysis of genomic sequences from peanut ( Arachis hypogaea )

Peanut is an important legume crop across the world. However, in contrast to most legume crops, groundnut lacks taxonomic proximity to any major model genome. A relatively large number of genomic sequences were generated from groundnut as part of a microsatellite marker development project. In the current study, a total of 1312 sequences were analyzed of which 448 contained microsatellite motifs. All sequences (GenBank Accessions: BZ999351-CC000573) were analyzed after clustering for possible similarity with publicly available sequences from Arabidopsis, Lotus, soybean and Medicago. At least 39% of the sequences analyzed had significant BLAST similarities with sequences from the four databases searched, of which nearly half (47%) found significant similarity with Lotus japonicus sequences. Over one quarter (26.7%) of sequences found similarity with Arabidopsis thaliana , while the remainder aligned with publicly available sequences from the legumes soybean and Medicago truncatula . At least 17% of microsatellite containing sequences could be assigned an identity. The codon usage pattern for Arachis hypogaea most closely resembles that of L. japonicus reflecting the similarly high sequence similarity observed in BLAST searches at the protein level. The implications of these findings for the taxonomy, and comparative genomics of groundnut and its legume family relatives are discussed

Usefulness of the Twinkling Artifact in Identifying Implanted Mesh After Inguinal Hernia Repair

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/135644/1/jum20113081059.pd

What can we really learn from positron flux 'anomalies'?

We present a critical analysis of the observational constraints on, and of the theoretical modeling of, aspects of cosmic ray (CR) generation and propagation in the Galaxy, which are relevant for the interpretation of recent positron and anti-proton measurements. We give simple, analytic, model independent expressions for the secondary pbar flux, and an upper limit for the secondary e+ flux, obtained by neglecting e+ radiative losses, e+/(e+ + e-)<0.2\pm0.1 up to ~300 GeV. These expressions are completely determined by the rigidity dependent grammage, which is measured from stable CR secondaries up to ~150 GeV/nuc, and by nuclear cross sections measured in the laboratory. pbar and e+ measurements, available up to ~100 GeV, are consistent with these estimates, implying that there is no need for new, non-secondary, pbar or e+ sources. The radiative loss suppression factor f_{s,e+} of the e+ flux depends on the e+ propagation in the Galaxy, which is not understood theoretically. A rough, model independent estimate of f_{s,e+} 1/3 can be obtained at a single energy, E\sim20 GeV, from unstable secondary decay and is found to be consistent with e+ measurements, including the positron fraction measured by PAMELA. We show that specific detailed models, that agree with compositional CR data, agree with our simple expressions for the e+ and pbar flux, and that the claims that the positron fraction measured by PAMELA requires new primary e+ sources are based on assumptions, that are not supported by observations. If PAMELA results are correct, they suggest that f_{s,e+} is slightly increasing with energy, which provides an interesting constraint on CR propagation models. We argue that measurements of the e+ to pbar ratio are more useful for challenging secondary production models than the positron fraction.Comment: 16 pages, 10 figures, minor revisions, accepted for publication in MNRA

Implementation of a complex intervention to improve care for patients whose situations are clinically uncertain in hospital settings: A multi-method study using normalisation process theory

Purpose: To examine the use of Normalisation Process Theory (NPT) to establish if, and in what ways, the AMBER care bundle can be successfully normalised into acute hospital practice, and to identify necessary modifications to optimise its implementation. Method: Multi-method process evaluation embedded within a mixed-method feasibility cluster randomised controlled trial in two district general hospitals in England. Data were collected using (i) focus groups with health professionals (HPs), (ii) semi-structured interviews with patients and/or carers, (iii) non-participant observations of multi-disciplinary team meetings and (iv) patient clinical note review. Thematic analysis and descriptive statistics, with interpretation guided by NPT components (coherence; cognitive participation; collective action; reflexive monitoring). Data triangulated across sources. Results: Two focus groups (26 HPs), nine non-participant observations, 12 interviews (two patients, 10 relatives), 29 clinical note reviews were conducted. While coherence was evident, with HPs recognising the value of the AMBER care bundle, cognitive participation and collective action presented challenges. Specifically: (1) HPs were unable and unwilling to operationalise the concept of ‘risk of dying’ intervention eligibility criteria (2) integration relied on a ‘champion’ to drive participation and ensure sustainability; and (3) differing skills and confidence led to variable engagement with difficult conversations with patients and families about, for example, nearness to end of life. Opportunities for reflexive monitoring were not routinely embedded within the intervention. Reflections on the use of the AMBER care bundle from HPs and patients and families, including recommended modifications became evident through this NPT-driven analysis. Conclusion: To be successfully normalised, new clinical practices, such as the AMBER care bundle, must be studied within the wider context in which they operate. NPT can be used to the aid identification of practical strategies to assist in normalisation of complex interventions where the focus of care is on clinical uncertainty in acute hospital settings