Genomic Resources Notes Accepted 1 June 2015 - 31 July 2015

This article documents the public availability of (i) microbiomes in diet and gut of larvae from the dipteran Dilophus febrilis using massive parallel sequencing, (ii) SNP and SSR discovery and characterization in the transcriptome of the Atlantic mackerel (Scomber scombrus, L) and (iii) assembled transcriptome for an endangered, endemic Iberian cyprinid fish (Squalius pyrenaicus).

Enquiring about traumatic experiences in psychosis: A comparison of case notes and self-report questionnaires

Purpose: Studies have found an association between a history of trauma and the presence of psychotic symptoms. Despite the research evidence it appears to be the case that many clinicians are not routinely asking about traumatic experiences. This study aims to ascertain the level of agreement between rates of self-reported trauma and that which is recorded in case notes.

Methods: The study population was drawn from all individuals with a confirmed diagnosis of psychosis, residing within a defined catchment area. Rates of childhood trauma, lifetime trauma and trauma related to the Troubles in Northern Ireland recorded in participants’ case notes were compared to their responses on self-report questionnaires: THQ, CTQ and TREQ.

Results: Relatively high levels of trauma were reported by participants on the self-report measures that were administered. The rates of trauma recorded in case note records were similar to that found in other studies. Also in line with other research were poor levels of agreement between self-report and case note data.

Conclusion: High levels of lifetime, childhood and trauma related to the Troubles in Northern Ireland were found when the individuals in the sample were directly assessed for the purposes of this study. In contrast much lower rates were recorded in patient notes on routine clinical assessment. The results suggest that clinicians do not routinely enquire about trauma histories with this population and as a result, case notes underestimate trauma prevalence.

Guided post-acceleration of laser-driven ions by a miniature modular structure

All-optical approaches to particle acceleration are currently attracting a significant research effort internationally. Although characterized by exceptional transverse and longitudinal emittance, laser-driven ion beams currently have limitations in terms of peak ion energy, bandwidth of the energy spectrum and beam divergence. Here we introduce the concept of a versatile, miniature linear accelerating module, which, by employing laser-excited electromagnetic pulses directed along a helical path surrounding the laser-accelerated ion beams, addresses these shortcomings simultaneously. In a proof-of-principle experiment on a university-scale system, we demonstrate post-acceleration of laser-driven protons from a flat foil at a rate of 0.5 GeVm^-1, already beyond what can be sustained by conventional accelerator technologies, with dynamic beam collimation and energy selection. These results open up new opportunities for the development of extremely compact and cost-effective ion accelerators for both established and innovative applications.

Learning Bayesian Networks with Bounded Tree-Width via Guided Search

Bounding the tree-width of a Bayesian network can reduce the chance of overfitting, and allows exact inference to be performed efficiently. Several existing algorithms tackle the problem of learning bounded tree-width Bayesian networks by learning from k-trees as super-structures, but they do not scale to large domains and/or large tree-width. We propose a guided search algorithm to find k-trees with maximum Informative scores, which is a measure of quality for the k-tree in yielding good Bayesian networks. The algorithm achieves close to optimal performance compared to exact solutions in small domains, and can discover better networks than existing approximate methods can in large domains. It also provides an optimal elimination order of variables that guarantees small complexity for later runs of exact inference. Comparisons with well-known approaches in terms of learning and inference accuracy illustrate its capabilities.

The ethics of ethical debates in peace and conflict research: Notes towards the development of a research covenant

This article outlines the case for peace and conflict researchers to formulate a research covenant to better shape their ethical obligations and responsibilities. This is an urgent necessity given that ethical debates have in some proponents become emotive and are not conducted in an ethical manner. In coming to this assessment, the article reviews trends in the research ethics literature and draws out some of the generic issues addressed in a review of the personal reflexivity that an assortment of individual peace and conflict researchers have engaged in when recounting their fieldwork experiences. These generic issues are reformulated in an attempt to codify appropriate ethical practice in peace and conflict research, and they go towards determining the contents of the research covenant. It is suggested that the research covenant is a more ethical way to debate the ethics of peace and conflict research.