scispace - formally typeset
Search or ask a question
Institution

University of Queensland

EducationBrisbane, Queensland, Australia
About: University of Queensland is a education organization based out in Brisbane, Queensland, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 51138 authors who have published 155721 publications receiving 5717659 citations. The organization is also known as: UQ & The University of Queensland.


Papers
More filters
Journal ArticleDOI
TL;DR: A narrative synthesis method was adopted to compare, contrast, synthesise and interpret the data, working within a framework of inquiry-based learning, which found that overwhelmingly, students enjoy CBL and think that it enhances their learning.
Abstract: Background: Case-based learning (CBL) is a long established pedagogical method, which is defined in a number of ways depending on the discipline and type of ‘case’ employed. In health professional education, learning activities are commonly based on patient cases. Basic, social and clinical sciences are studied in relation to the case, are integrated with clinical presentations and conditions (including health and ill-health) and student learning is, therefore, associated with real-life situations. Although many claims are made for CBL as an effective learning and teaching method, very little evidence is quoted or generated to support these claims. We frame this review from the perspective of CBL as a type of inquiry-based learning.Aim: To explore, analyse and synthesise the evidence relating to the effectiveness of CBL as a means of achieving defined learning outcomes in health professional prequalification training programmes.Method: Selection criteria: We focused the review on CBL for prequalification ...

689 citations

Journal ArticleDOI
TL;DR: An improved analytical (IA) method based on IA expressions to calculate the optimal size of four different DG types and a methodology to identify the best location for DG allocation is proposed, and a technique to get the optimal power factor is presented for DG capable of delivering real and reactive power.
Abstract: This paper investigates the problem of multiple distributed generator (DG units) placement to achieve a high loss reduction in large-scale primary distribution networks. An improved analytical (IA) method is proposed in this paper. This method is based on IA expressions to calculate the optimal size of four different DG types and a methodology to identify the best location for DG allocation. A technique to get the optimal power factor is presented for DG capable of delivering real and reactive power. Moreover, loss sensitivity factor (LSF) and exhaustive load flow (ELF) methods are also introduced. IA method was tested and validated on three distribution test systems with varying sizes and complexity. Results show that IA method is effective as compared with LSF and ELF solutions. Some interesting results are also discussed in this paper.

689 citations

Journal ArticleDOI
TL;DR: A metagenomic analysis of two lab-scale EBPR sludges dominated by the uncultured bacterium, “Candidatus Accumulibacter phosphatis,” sheds light on several controversies in EBPR metabolic models and provides hypotheses explaining the dominance of A. phosphatis.
Abstract: Enhanced biological phosphorus removal (EBPR) is one of the best-studied microbially mediated industrial processes because of its ecological and economic relevance. Despite this, it is not well understood at the metabolic level. Here we present a metagenomic analysis of two lab-scale EBPR sludges dominated by the uncultured bacterium, "Candidatus Accumulibacter phosphatis." The analysis sheds light on several controversies in EBPR metabolic models and provides hypotheses explaining the dominance of A. phosphatis in this habitat, its lifestyle outside EBPR and probable cultivation requirements. Comparison of the same species from different EBPR sludges highlights recent evolutionary dynamics in the A. phosphatis genome that could be linked to mechanisms for environmental adaptation. In spite of an apparent lack of phylogenetic overlap in the flanking communities of the two sludges studied, common functional themes were found, at least one of them complementary to the inferred metabolism of the dominant organism. The present study provides a much needed blueprint for a systems-level understanding of EBPR and illustrates that metagenomics enables detailed, often novel, insights into even well-studied biological systems.

688 citations

Journal ArticleDOI
TL;DR: In the ICCP System 1994, the maceral group huminite has been revised from the previous classification (ICCP, 1971) to accommodate the nomenclature to changes in the other maceral groups.

688 citations

Journal ArticleDOI
TL;DR: A high proportion of patients achieved an intracranial response with the combination of nivolumab alone or in combination with ipilimumab, which should be considered as a first-line therapy for patients with asymptomatic untreated brain metastases.
Abstract: Summary Background Nivolumab monotherapy and combination nivolumab plus ipilimumab increase proportions of patients achieving a response and survival versus ipilimumab in patients with metastatic melanoma; however, efficacy in active brain metastases is unknown. We aimed to establish the efficacy and safety of nivolumab alone or in combination with ipilimumab in patients with active melanoma brain metastases. Methods This multicentre open-label randomised phase 2 trial was done at four sites in Australia, in three cohorts of immunotherapy-naive patients aged 18 years or older with melanoma brain metastases. Patients with asymptomatic brain metastases with no previous local brain therapy were randomly assigned using the biased coin minimisation method, stratified by site, in a 30:24 ratio (after a safety run-in of six patients) to cohort A (nivolumab plus ipilimumab) or cohort B (nivolumab). Patients with brain metastases in whom local therapy had failed, or who had neurological symptoms, or leptomeningeal disease were enrolled in non-randomised cohort C (nivolumab). Patients in cohort A received intravenous nivolumab 1 mg/kg combined with ipilimumab 3 mg/kg every 3 weeks for four doses, then nivolumab 3 mg/kg every 2 weeks; patients in cohort B or cohort C received intravenous nivolumab 3 mg/kg every 2 weeks. The primary endpoint was intracranial response from week 12. Primary and safety analyses were done on an intention-to-treat basis in all patients who received at least one dose of the study drug. This trial is registered with ClinicalTrials.gov, number NCT02374242, and is ongoing for the final survival analysis. Findings Between Nov 4, 2014, and April 21, 2017, 79 patients were enrolled; 36 in cohort A, 27 in cohort B, and 16 in cohort C. One patient in cohort A and two in cohort B were found to be ineligible and excluded from the study before receiving the study drug. At the data cutoff (Aug 28, 2017), with a median follow up of 17 months (IQR 8–25), intracranial responses were achieved by 16 (46%; 95% CI 29–63) of 35 patients in cohort A, five (20%; 7–41) of 25 in cohort B, and one (6%; 0–30) of 16 in cohort C. Intracranial complete responses occurred in six (17%) patients in cohort A, three (12%) in cohort B, and none in cohort C. Treatment-related adverse events occurred in 34 (97%) of 35 patients in cohort A, 17 (68%) of 25 in cohort B, and eight (50%) of 16 in cohort C. Grade 3 or 4 treatment-related adverse events occurred in 19 (54%) patients in cohort A, four (16%) in cohort B, and two (13%) in cohort C. No treatment-related deaths occurred. Interpretation Nivolumab combined with ipilimumab and nivolumab monotherapy are active in melanoma brain metastases. A high proportion of patients achieved an intracranial response with the combination. Thus, nivolumab combined with ipilimumab should be considered as a first-line therapy for patients with asymptomatic untreated brain metastases. Funding Melanoma Institute Australia and Bristol-Myers Squibb.

687 citations


Authors

Showing all 52145 results

NameH-indexPapersCitations
Graham A. Colditz2611542256034
George Davey Smith2242540248373
David J. Hunter2131836207050
Daniel Levy212933194778
Christopher J L Murray209754310329
Matthew Meyerson194553243726
Luigi Ferrucci1931601181199
Nicholas G. Martin1921770161952
Paul M. Thompson1832271146736
Jie Zhang1784857221720
Alan D. Lopez172863259291
Ian J. Deary1661795114161
Steven N. Blair165879132929
Carlos Bustamante161770106053
David W. Johnson1602714140778
Network Information
Related Institutions (5)
University of Sydney
187.3K papers, 6.1M citations

98% related

University of Melbourne
174.8K papers, 6.3M citations

98% related

University of New South Wales
153.6K papers, 4.8M citations

97% related

University of British Columbia
209.6K papers, 9.2M citations

93% related

National University of Singapore
165.4K papers, 5.4M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023507
20221,728
202111,678
202010,832
20199,671
20189,015