Body mass index and dental caries in children and adolescents : a systematic review of literature published 2004 to 2011

The objective
The authors undertook an updated systematic review of the relationship between body mass index and dental caries in children and adolescents.
Method
The authors searched Medline, ISI, Cochrane, Scopus, Global Health and CINAHL databases and conducted lateral searches from reference lists for papers published from 2004 to 2011, inclusive. All empirical papers that tested associations between body mass index and dental caries in child and adolescent populations (aged 0 to 18 years) were included.
Results
Dental caries is associated with both high and low body mass index.
Conclusion
A non-linear association between body mass index and dental caries may account for inconsistent findings in previous research. We recommend future research investigate the nature of the association between body mass index and dental caries in samples that include a full range of body mass index scores, and explore how factors such as socioeconomic status mediate the association between body mass index and dental caries.

Australian cultural and innovation policies: never the twain shall meet?

 In recent years, Australian cultural policy-makers have begun to pay more attention to innovation policy. Several of the Australian states specifically address issues of innovation in their formal cultural policies, and the Australia Council for the Arts has published an Innovation Strategy which purports to constitute 'a coordinated approach to supporting creativity as one of Australia's most valuable assets' (Australia Council 2006).

However, despite this prima facie policy commitment to supporting and fostering innovation in the arts and cultural industries, there remains a disconnect between cultural and innovation policies in Australia. On the one hand, cultural policies in Australia are confused and incoherent in their approach to cultural innovation, and many policy settings as they apply to cultural industries are antithetical to the aims of fostering innovation and R&D. Meanwhile, innovation policies continue to pay only marginal attention to the creative arts and cultural industries. This disconnect will be briefly examined in three fields of cultural policy: arts and cultural funding; copyright and intellectual property policy; and broadcast media policy.

It is argued that rather than promoting innovation, existing policy frameworks in all three areas, when not specifically framed around the protection of vested interests, are often contradictory and inimical to the disruptive influence of innovative artists, technologies and firms. Possible reasons for the disconnect include pragmatic matters of busy ministers and low policy priorities, and conceptual confusion over the status and value of culture.

Exploring in-hospital adverse drug events using ICD-10 codes

 Abstract
Objective Adverse drug events (ADEs) during hospital admissions are a widespread problem associated with adverse patient outcomes. The ‘external cause’ codes in the International Statistical Classification of Diseases and Related Health Problems 10th Revision (ICD-10) provide opportunities for identifying the incidence of ADEs acquired during hospital stays that may assist in targeting interventions to decrease their occurrence. The aim of the present study was to use routine administrative data to identify ADEs acquired during hospital admissions in a suburban healthcare network in Melbourne, Australia.

Methods Thirty-nine secondary diagnosis fields of hospital discharge data for a 1-year period were reviewed for ‘diagnoses not present on admission’ and assigned to the Classification of Hospital Acquired Diagnoses (CHADx) subclasses. Discharges with one or more ADE subclass were extracted for retrospective analysis.

Results From 57 205 hospital discharges, 7891 discharges (13.8%) had at least one CHADx, and 402 discharges (0.7%) had an ADE recorded. The highest proportion of ADEs was due to administration of analgesics (27%) and systemic antibiotics (23%). Other major contributors were anticoagulation (13%), anaesthesia (9%) and medications with cardiovascular side-effects (9%).

Conclusion Hospital data coded in ICD-10 can be used to identify ADEs that occur during hospital stays and also clinical conditions, therapeutic drug classes and treating units where these occur. Using the CHADx algorithm on administrative datasets provides a consistent and economical method for such ADE monitoring.

What is known about the topic? Adverse drug events (ADEs) can result in several different physical consequences, ranging from allergic reactions to death, thereby posing a significant burden on patients and the health system. Numerous studies have compared manual, written incident reporting systems used by hospital staff with computerised automated systems to identify ADEs acquired during hospital admissions. Despite various approaches aimed at improving the detection of ADEs, they remain under-reported, as a result of which interventions to mitigate the effect of ADEs cannot be initiated effectively.

What does this paper add? This research article demonstrates major methodological advances over comparable published studies looking at the effectiveness of using routine administrative data to monitor rates of ADEs that occur during a hospital stay and reviews the type of ADEs and their frequency patterns during patient admission. It also provides an insight into the effect of ADEs that occur within different hospital treating units. The method implemented in this study is unique because it uses a grouping algorithm developed for the Australian Commission on Safety and Quality in Health Care (ACSQHC) to identify ADEs not present on admission from patient data coded in ICD-10. This algorithm links the coded external causes of ADEs with their consequences or manifestations. ADEs identified through the use of programmed code based on this algorithm have not been studied in the past and therefore this paper adds to previous knowledge in this subject area.

What are the implications for health professionals? Although not all ADEs can be prevented with current medical knowledge, this study can assist health professionals in targeting interventions that can efficiently reduce the rate of ADEs that occur during a hospital stay, and improve information available for future medication management decisions.

Effective writing for health professionals : a guide to getting published

Written by a best-selling academic author, Effective Writing for Health Professionals provides insights and strategies for publishing designed for nurses, midwives and health professionals

Motion Bank : Phase One

 Motion Bank Phase One (2010-2013) was a four-year international and interdisciplinary research project of The Forsythe Company providing a broad context for research into choreographic practice. The main focus was on the creation of on-line digital scores in collaboration with guest choreographers, to be made publicly available via this website. For Phase One, the guest choreographers were Deborah Hay, Jonathan Burrows & Matteo Fargion, Bebe Miller and Thomas Hauert. Teams from the Motion Bank Score Partners worked with these artists to make their diverse choreographic approaches accessible in new ways through the digital medium with the results published here: http://scores.motionbank.org/. Alongside this core research, Motion Bank Education Partners and an International Education Workgroup researched ways to integrate the new on-line digital scores and related choreographic resources produced by other artists into their academic programs. Accompanying the Motion Bank education research was an interdisciplinary initiative titled Dance Engaging Science aiming to stimulate new forms of collaborative research involving dance practice. Motion Bank public events offered at The Frankfurt Lab included performances and talks with the guest choreographers as well as a series of Motion Bank Workshops with internationally recognized practitioners from different fields. An extensive series of reports and documentation on all Motion Bank activities and results are available on-line at http://motionbank.org.

Motion Bank Score Partners:
- Advanced Computing Center for the Arts and Design and Department of Dance at The Ohio State University
- Fraunhofer Institute for Computer Graphics Research IGD
- Hochschule Darmstadt - University of applied sciences
- Hochschule für Gestaltung (HFG) Offenbach.

Motion Bank Education Partners:
- Frankfurt University of Music and Performing Arts
- Palucca Hochschule für Tanz Dresden

Workplace suicide prevention: a systematic review of published and unpublished activities

 There are a number of published studies on workplace suicide prevention activities, and an even larger number of activities that are not reported on in academic literature. The aim of this review was to provide a systematic assessment of workplace suicide prevention activities, including short-term training activities, as well as suicide prevention strategies designed for occupational groups at risk of suicide. The search was based on Meta-analysis of Observational Studies in Epidemiology (MOOSE) Guidelines. The databases used for the searches were the Cochrane Trials Library and PubMed. A range of suicide prevention websites were also searched to ascertain the information on unpublished workplace suicide prevention activities. Key characteristics of retrieved studies were extracted and explained, including whether activities were short-term training programmes or developed specifically for occupations at risk of suicide. There were 13 interventions relevant for the review after exclusions. There were a few examples of prevention activities developed for at-risk occupations (e.g. police, army, air force and the construction industry) as well as a number of general awareness programmes that could be applied across different settings. Very few workplace suicide prevention initiatives had been evaluated. Results from those that had been evaluated suggest that prevention initiatives had beneficial effects. Suicide prevention has the potential to be integrated into existing workplace mental health activities. There is a need for further studies to develop, implement and evaluate workplace suicide prevention programmes.

Influence of orientation on twin nucleation and growth at low strains in a magnesium alloy

The resolved shear stress is believed to play an important role in twin formation. The present study tests this idea for an extruded magnesium alloy by examining "tension" twinning in different grain orientations. Electron backscatter diffraction analysis is employed for alloy AZ31 tested in compression along the extrusion axis to strains between 0.008 and 0.015. For heavily twinned grains, it is seen that twinning occurs on 2.3 twin systems per grain on average. The active systems are also most commonly those with, or very near to, the highest Schmid factor. The most active system in multiply twinned grains accounts on average for ∼0.6 of the twinning events. In addition, it is found that the twin habit plane falls within 6° of the K1 plane. Orientations with the highest Schmid factors (0.45-0.5) for twinning display twin aspect ratios greater by ∼40% and twin number densities greater by ∼10 times than orientations with maximum Schmid factors for twinning of 0.15-0.2. Thus the Schmid factor for twinning is seen to affect nucleation more than thickening in the present material. Viscoplastic crystal plasticity simulations are employed to obtain approximations for the resolved shear stress. Both the twin aspect ratio and number density correlate quite well with this term. The effect of the former can be assumed to be linear and that of the latter follows a power law with exponent ∼13. Increased aspect ratios and number densities are seen at low Schmid factors and this may relate to stress fluctuations, caused most probably in the present material by the stress fields at the tips of blocked twins. Overall, it is evident that the dominance of twinning on high Schmid factor systems is preserved at the low strains examined in the present work, despite the stress fluctuations known to be present. © 2014 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved.

A double inclusion homogenization scheme for polycrystals with hierarchal topologies: Application to twinning in Mg alloys

The present work introduces a double inclusion elasto-plastic self-consistent (DI-EPSC) scheme for topologies in which crystals can contain subdomains (i.e. twins, etc.). The approach yields a direct coupling between the mechanical response of grains and their subdomains via a concentration relationship on mean fields derived from both the Eshelby and the Tanaka-Mori properties. The latent effect caused by twinning on the mechanical response is observed on both initially extruded and non-textured Mg alloys. For twinned grains, it is shown that deformation system activities and plastic strain distributions within twins drastically depend on the interaction with parent domains. Moreover, a quantitative study on the coupled influence of secondary slip activities on the material response is proposed. © 2014 Published by Elsevier Ltd.

On exploratory factor analysis: a review of recent evidence, an assessment of current practice, and recommendations for future use

Exploratory factor analysis (hereafter, factor analysis) is a complex statistical method that is integral to many fields of research. Using factor analysis requires researchers to make several decisions, each of which affects the solutions generated. In this paper, we focus on five major decisions that are made in conducting factor analysis: (i) establishing how large the sample needs to be, (ii) choosing between factor analysis and principal components analysis, (iii) determining the number of factors to retain, (iv) selecting a method of data extraction, and (v) deciding upon the methods of factor rotation. The purpose of this paper is threefold: (i) to review the literature with respect to these five decisions, (ii) to assess current practices in nursing research, and (iii) to offer recommendations for future use. The literature reviews illustrate that factor analysis remains a dynamic field of study, with recent research having practical implications for those who use this statistical method. The assessment was conducted on 54 factor analysis (and principal components analysis) solutions presented in the results sections of 28 papers published in the 2012 volumes of the 10 highest ranked nursing journals, based on their 5-year impact factors. The main findings from the assessment were that researchers commonly used (a) participants-to-items ratios for determining sample sizes (used for 43% of solutions), (b) principal components analysis (61%) rather than factor analysis (39%), (c) the eigenvalues greater than one rule and screen tests to decide upon the numbers of factors/components to retain (61% and 46%, respectively), (d) principal components analysis and unweighted least squares as methods of data extraction (61% and 19%, respectively), and (e) the Varimax method of rotation (44%). In general, well-established, but out-dated, heuristics and practices informed decision making with respect to the performance of factor analysis in nursing studies. Based on the findings from factor analysis research, it seems likely that the use of such methods may have had a material, adverse effect on the solutions generated. We offer recommendations for future practice with respect to each of the five decisions discussed in this paper.

Tree-based iterated local search for Markov random fields with applications in image analysis

The maximum a posteriori assignment for general structure Markov random fields is computationally intractable. In this paper, we exploit tree-based methods to efficiently address this problem. Our novel method, named Tree-based Iterated Local Search (T-ILS), takes advantage of the tractability of tree-structures embedded within MRFs to derive strong local search in an ILS framework. The method efficiently explores exponentially large neighborhoods using a limited memory without any requirement on the cost functions. We evaluate the T-ILS on a simulated Ising model and two real-world vision problems: stereo matching and image denoising. Experimental results demonstrate that our methods are competitive against state-of-the-art rivals with significant computational gain.

Ordinal random fields for recommender systems

Recommender Systems heavily rely on numerical preferences, whereas the importance of ordinal preferences has only been recognised in recent works of Ordinal Matrix Factorisation (OMF). Although the OMF can effectively exploit ordinal properties, it captures only the higher-order interactions among users and items, without considering the localised interactions properly. This paper employs Markov Random Fields (MRF) to investigate the localised interactions, and proposes a unified model called Ordinal Random Fields (ORF) to take advantages of both the representational power of the MRF and the ease of modelling ordinal preferences by the OMF. Experimental result on public datasets demonstrates that the proposed ORF model can capture both types of interactions, resulting in improved recommendation accuracy.