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Institution

Monash University

EducationMelbourne, Victoria, Australia
About: Monash University is a education organization based out in Melbourne, Victoria, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 35920 authors who have published 100681 publications receiving 3027002 citations.


Papers
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Journal ArticleDOI
TL;DR: A comprehensive literature search identified 17 studies published between 1984 and 2004, which examined the effects of these interventions and three key types of interventions were identified: writing courses, writing support groups and writing coaches as mentioned in this paper.
Abstract: Academics are expected to publish. In Australia universities receive extra funding based on their academic publication rates and academic promotion is difficult without a good publication record. However, the reality is that only a small percentage of academics are actively publishing. To fix this problem, a number of international universities and other higher education institutions have implemented interventions with the main aim being to increase the number of publications. A comprehensive literature search identified 17 studies published between 1984 and 2004, which examined the effects of these interventions. Three key types of interventions were identified: writing courses, writing support groups and writing coaches. The resulting publication output varied, but all interventions led to an increase in average publication rates for the participants.

379 citations

Journal ArticleDOI
TL;DR: A facile one-pot impregnation-thermal reduction strategy was employed to fabricate sandwich-like graphene-g-C3N4 (GCN) nanocomposites using urea and graphene oxide as precursors, which demonstrated high visible-light photoactivity towards CO2 reduction under ambient conditions.

379 citations

Journal ArticleDOI
TL;DR: Beta-blockers improve LVEf and prognosis for patients with heart failure in sinus rhythm with a reduced LVEF and similar benefit was observed in the subgroup of patients with LVEFs 40-49%, but did not improve prognosis.
Abstract: Aims Recent guidelines recommend that patients with heart failure and left ventricular ejection fraction (LVEF) 40-49% should be managed similar to LVEF ≥ 50%. We investigated the effect of beta-blockers according to LVEF in double-blind, randomized, placebo-controlled trials. Methods and results Individual patient data meta-analysis of 11 trials, stratified by baseline LVEF and heart rhythm (Clinicaltrials.gov: NCT0083244; PROSPERO: CRD42014010012). Primary outcomes were all-cause mortality and cardiovascular death over 1.3 years median follow-up, with an intention-to-treat analysis. For 14 262 patients in sinus rhythm, median LVEF was 27% (interquartile range 21-33%), including 575 patients with LVEF 40-49% and 244 ≥ 50%. Beta-blockers reduced all-cause and cardiovascular mortality compared to placebo in sinus rhythm, an effect that was consistent across LVEF strata, except for those in the small subgroup with LVEF ≥ 50%. For LVEF 40-49%, death occurred in 21/292 [7.2%] randomized to beta-blockers compared to 35/283 [12.4%] with placebo; adjusted hazard ratio (HR) 0.59 [95% confidence interval (CI) 0.34-1.03]. Cardiovascular death occurred in 13/292 [4.5%] with beta-blockers and 26/283 [9.2%] with placebo; adjusted HR 0.48 (95% CI 0.24-0.97). Over a median of 1.0 years following randomization (n = 4601), LVEF increased with beta-blockers in all groups in sinus rhythm except LVEF ≥50%. For patients in atrial fibrillation at baseline (n = 3050), beta-blockers increased LVEF when < 50% at baseline, but did not improve prognosis. Conclusion Beta-blockers improve LVEF and prognosis for patients with heart failure in sinus rhythm with a reduced LVEF. The data are most robust for LVEF < 40%, but similar benefit was observed in the subgroup of patients with LVEF 40-49%.

379 citations

Journal ArticleDOI
TL;DR: The value of evidence obtained from the use of Ccl2- and Cxcr2-deficient mice will be reported, in the context of potential therapeutics inhibiting chemokine activity which are currently in clinical trial for various inflammatory diseases.
Abstract: Chemokines and their receptors have crucial roles in the trafficking of leukocytes, and are of particular interest in the context of the unique immune responses elicited in the central nervous system (CNS). The chemokine system CC ligand 2 (CCL2) with its receptor CC receptor 2 (CCR2), as well as the receptor CXCR2 and its multiple ligands CXCL1, CXCL2 and CXCL8, have been implicated in a wide range of neuropathologies, including trauma, ischemic injury and multiple sclerosis. This review aims to overview the current understanding of chemokines as mediators of leukocyte migration into the CNS under neuroinflammatory conditions. We will specifically focus on the involvement of two chemokine networks, namely CCL2/CCR2 and CXCL8/CXCR2, in promoting macrophage and neutrophil infiltration, respectively, into the lesioned parenchyma after focal traumatic brain injury. The constitutive brain expression of these chemokines and their receptors, including their recently identified roles in the modulation of neuroprotection, neurogenesis, and neurotransmission, will be discussed. In conclusion, the value of evidence obtained from the use of Ccl2- and Cxcr2-deficient mice will be reported, in the context of potential therapeutics inhibiting chemokine activity which are currently in clinical trial for various inflammatory diseases.

379 citations

Proceedings Article
01 Jan 2000
TL;DR: This paper attempts to address the scheduling of jobs to the geographically distributed computing resources with a brief description of the three nature's heuristics namely Genetic Algorithm, Simulated Annealing and Tabu Search.
Abstract: Computational Grid (Grid Computing) is a new paradigm that will drive the computing arena in the new millennium. Unification of globally remote and diverse resources, coupled with the increasing computational needs for Grand Challenge Applications (GCA) and accelerated growth of the Internet and communication technology will further fuel the development of global computational power grids. In this paper, we attempt to address the scheduling of jobs to the geographically distributed computing resources. Conventional wisdom in the field of scheduling is that scheduling problems exhibit such richness and variety that no single scheduling method is sufficient. Heuristics derived from the nature has demonstrated a surprising degree of effectiveness and generality for handling combinatorial optimization problems. This paper begins with an introduction of computational grids followed by a brief description of the three nature's heuristics namely Genetic Algorithm (GA), Simulated Annealing (SA) and Tabu Search (TS). Experimental results using GA are included. We further demonstrate the hybridized usage of the above algorithms that can be applied in a computational grid environment for job scheduling.

378 citations


Authors

Showing all 36568 results

NameH-indexPapersCitations
Bert Vogelstein247757332094
Kenneth W. Kinzler215640243944
David J. Hunter2131836207050
David R. Williams1782034138789
Yang Yang1712644153049
Lei Jiang1702244135205
Dongyuan Zhao160872106451
Christopher J. O'Donnell159869126278
Leif Groop158919136056
Mark E. Cooper1581463124887
Theo Vos156502186409
Mark J. Smyth15371388783
Rinaldo Bellomo1471714120052
Detlef Weigel14251684670
Geoffrey Burnstock141148899525
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023250
20221,020
20219,402
20208,420
20197,409
20186,438