10 research outputs found
Phytochemistry of Australian Plants
<a href="https://fms05.filemakerstudio.com.au/fmi/webd?homeurl=http://www.monash.edu/#PhytoChem">Phytochemistry of Australian Plants</a> is a database on compounds isolated from Australian plants, including data from work by international chemists on those plants that are also indigenous in some other countries, and on plants such as species of Eucalyptus that are grown around the world. <br><br><div>It contains detailed and fully searchable information on organic compounds that have been isolated from Australian plants.</div
The effects of social support on unsuccessful treatment outcomes by type of intervention in Randomized Controlled Trials.
<p>The effects of social support on unsuccessful treatment outcomes by type of intervention in Randomized Controlled Trials.</p
The Effects of Psycho-Emotional and Socio-Economic Support for Tuberculosis Patients on Treatment Adherence and Treatment Outcomes – A Systematic Review and Meta-Analysis
<div><p>Background</p><p>There is uncertainty about the contribution that social support interventions (SSI) can have in mitigating the personal, social and economic costs of tuberculosis (TB) treatment on patients, and improving treatment outcomes.</p><p>Objective</p><p>To identify psycho-emotional (PE) and socio-economic (SE) interventions provided to TB patients and to assess the effects of these interventions on treatment adherence and treatment outcomes.</p><p>Search strategy</p><p>We searched PubMed and Embase from 1 January 1990–15 March 2015 and abstracts of the Union World Conference on Lung Health from 2010–2014 for studies reporting TB treatment adherence and treatment outcomes following SSI.</p><p>Selection criteria</p><p>Studies measuring the effects of PE or SE interventions on TB treatment adherence, treatment outcomes, and/or financial burden.</p><p>Data collection and analysis</p><p>Two reviewers independently assessed titles and abstracts for inclusion of articles. One reviewer reviewed full text articles and the reference list of selected studies. A second reviewer double checked all extracted information against the articles.</p><p>Main results</p><p>Twenty-five studies were included in the qualitative analysis; of which eighteen were included in the meta-analysis. Effects were pooled from 11 Randomized Controlled Trials (RCTs), including 9,655 participants with active TB. Meta-analysis showed that PE support (RR 1.37; CI 1.08–1.73), SE support (RR 1.08; CI 1.03–1.13) and combined PE and SE support (RR 1.17; CI 1.12–1.22) were associated with a significant improvement of successful treatment outcomes. Also PE support, SE support and a combination of these types of support were associated with reductions in unsuccessful treatment outcomes (PE: RR 0.46; CI 0.22–0.96, SE: RR 0.78; CI 0.69–0.88 and Combined PE and SE: RR 0.42; CI 0.23–0.75). Evidence on the effect of PE and SE interventions on treatment adherence were not meta-analysed because the interventions were too heterogeneous to pool. No evidence was found to show whether SE reduced the financial burden for TB patients.</p><p>Discussion and Conclusions</p><p>Our review and meta-analysis concluded that PE and SE interventions are associated with beneficial effects on TB treatment outcomes. However, the quality of evidence is very low and future well-designed evaluation studies are needed.</p></div
Summary table for all studies included in the qualitative analysis.
<p>Summary table for all studies included in the qualitative analysis.</p
Funnel plot to evaluate publication bias in Randomized Controlled Trials on the effects of social support interventions on treatment outcomes.
<p>Funnel plot to evaluate publication bias in Randomized Controlled Trials on the effects of social support interventions on treatment outcomes.</p
Overview on types of support and inclusion in the quantitative analysis.
<p>Overview on types of support and inclusion in the quantitative analysis.</p
Petascale astrophysics, software infrastructure development, and community engagement
Enzo-P is a petascale branch of the Enzo adaptive mesh refinement (AMR) astrophysics and cosmology application. While Enzo-P will support the same multi-physics capabilities as Enzo, it is built on an entirely different, highly scalable AMR framework called Cello. Cello implements an "array of octrees" type AMR, supports both field and particle data, and is parallelized using Charm++. Enzo-P has demonstrated excellent scaling through 256K cores of the NSF Blue Waters HPC platform, well beyond Enzo's AMR scaling capability. The next phase of Enzo scaling development will be Enzo-E, an exascale version of Enzo, which will be designed to support highly heterogeneous extreme scale computing platforms
Additional file 1: Table S1. of Saliva DNA quality and genotyping efficiency in a predominantly elderly population
Subject gender, age, DNA characteristics and genotyping results corresponding to the samples used for genotyping. (“B” sample IDs indicate DNA from blood and “S” sample IDs are DNA from saliva). (DOCX 31 kb
RAD tag (SgrAI) derived SNPs from Bombus impatiens
RAD tag (SgrAI) derived SNPs from Bombus impatiens from Sadd et al. (2015) "The genomes of two key bumblebee species with primitive eusocial organisation