Institution
Macquarie University
Education•Sydney, New South Wales, Australia•
About: Macquarie University is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Laser. The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.
Topics: Population, Laser, Galaxy, Anxiety, Mantle (geology)
Papers published on a yearly basis
Papers
More filters
••
TL;DR: While several red flags are endorsed in guidelines to screen for fracture or malignancy, only a small subset of these have evidence that they are indeed informative, suggesting a need for revision of many current guidelines.
Abstract: Objective To review the evidence on diagnostic accuracy of red flag signs and symptoms to screen for fracture or malignancy in patients presenting with low back pain to primary, secondary, or tertiary care.
235 citations
••
TL;DR: In this paper, a review explores the characteristics that place students at such risk, the periods throughout schooling when students are most at risk and the influence of previous attachment relationships, including those with other teachers and parents, and the impact that a positive or negative student-teacher relationship can have.
235 citations
••
Stanford University1, International Institute for Applied Systems Analysis2, Autonomous University of Barcelona3, Tsinghua University4, Macquarie University5, Imperial College London6, Lawrence Berkeley National Laboratory7, University of California, Berkeley8, University of Vienna9, University of Antwerp10, University of California, Los Angeles11, California Institute of Technology12, University of Minnesota13, University of Sydney14, Northern Arizona University15, Spanish National Research Council16, Leiden University17, James Cook University18, University of Idaho19, Chinese Academy of Sciences20, Peking University21, AgResearch22, University of Tasmania23, United States Department of Agriculture24, Nanjing University of Information Science and Technology25, University College Dublin26, University of Giessen27, Smithsonian Tropical Research Institute28, Maastricht University29, Utrecht University30, Wageningen University and Research Centre31, Tokyo University of Agriculture and Technology32, Hokkaido University33, Agricultural Research Service34
TL;DR: In this paper, the authors present a data-driven global quantification of the eCO(2) effect on biomass based on 138 eCO2 (eCO 2 ) experiments, showing that CO2 levels expected by 2100 can potentially enhance plant biomass by 12 +/- 3% above current values.
Abstract: Elevated CO2 (eCO(2)) experiments provide critical information to quantify the effects of rising CO2 on vegetation 1-6 . Many eCO(2) experiments suggest that nutrient limitations modulate the local magnitude of the eCO(2) effect on plant biomass(1,3,5), but the global extent of these limitations has not been empirically quantified, complicating projections of the capacity of plants to take up CO27,9. Here, we present a data-driven global quantification of the eCO(2) effect on biomass based on 138 eCO(2) experiments. The strength of CO2 fertilization is primarily driven by nitrogen (N) in similar to 65% of global vegetation and by phosphorus (P) in similar to 25% of global vegetation, with N- or P-limitation modulated by mycorrhizal association. Our approach suggests that CO2 levels expected by 2100 can potentially enhance plant biomass by 12 +/- 3% above current values, equivalent to 59 +/- 13 PgC. The globalscale response to eCO(2) we derive from experiments is similar to past changes in greenness(9) and bio-mass(10) with rising CO2, suggesting that CO2 will continue to stimulate plant biomass in the future despite the constraining effect of soil nutrients. Our research reconciles conflicting evidence on CO2 fertilization across scales and provides an empirical estimate of the biomass sensitivity to eCO(2) that may help to constrain climate projections.
234 citations
••
TL;DR: This article investigated what kinds of subjective emotional experiences are induced in listeners by sad music, and whether the tendency to enjoy sad music is associated with particular personality traits, finding that aesthetic appreciation and empathetic engagement play a role in the enjoyment of sad music.
Abstract: although people generally avoid negative emotional experiences in general, they often enjoy sadness portrayed in music and other arts. The present study investigated what kinds of subjective emotional experiences are induced in listeners by sad music, and whether the tendency to enjoy sad music is associated with particular personality traits. One hundred forty-eight participants listened to 16 music excerpts and rated their emotional responses. As expected, sadness was the most salient emotion experienced in response to sad excerpts. However, other more positive and complex emotions such as nostalgia, peacefulness, and wonder were also evident. Furthermore, two personality traits – Openness to Experience and Empathy – were associated with liking for sad music and with the intensity of emotional responses induced by sad music, suggesting that aesthetic appreciation and empathetic engagement play a role in the enjoyment of sad music.
234 citations
••
TL;DR: The aim was to estimate the prevalence and moderating factors of anxiety and depressive disorders in people with epilepsy (PWE) and to investigate the role of medication and social support services.
Abstract: SummaryObjective
Comorbid anxiety and depressive disorders in people with epilepsy (PWE) are highly prevalent and associated with various adverse outcomes. However, the prevalence of anxiety disorders in PWE across studies is highly variable. Our aim was to estimate the prevalence and moderating factors of anxiety and depressive disorders in PWE.
Methods
Following prospective registration (PROSPERO; CRD42015027101), electronic databases were searched for studies that reported the prevalence of both anxiety and depressive disorders in samples of PWE up until July 2016. Data extracted included the prevalence of anxiety and depressive disorders, and moderators of interest (e.g., method of diagnosis, prevalence of drug-resistant epilepsy). Meta-analysis of the overall pooled prevalence of anxiety and depressive disorders was conducted.
Results
The search yielded 8,636 unique articles, with 27 studies meeting final inclusion criteria (3,221 PWE). The pooled prevalence of anxiety and depressive disorders was 20.2% (95% confidence interval [CI] 15.3–26.0%) and 22.9% (95% CI 18.2–28.4%), respectively. Method of diagnosis significantly moderated anxiety disorder prevalence (Q statistic with one degree of freedom [Q1] = 36.29, p < 0.0001); the prevalence of anxiety disorders based on unstructured clinician assessment was 8.1% (95% CI 5.7–11.4%), compared to a prevalence of 27.3% (95% CI 22.1–33.3%) based on a structured clinical interview. There were no significant moderators of depressive disorder diagnosis.
Significance
Findings suggest the prevalence of anxiety and depressive disorders in PWE are equivalent, and variability in prevalence of anxiety disorders across studies can be attributed partly to the method of diagnosis. These findings also challenge widely held assumptions that psychiatric comorbidity is more common in people with drug-resistant epilepsy. Future research should aim to improve the detection and management of these comorbidities in PWE, particularly anxiety disorders, which have remained relatively neglected.
234 citations
Authors
Showing all 14346 results
Name | H-index | Papers | Citations |
---|---|---|---|
Yang Yang | 171 | 2644 | 153049 |
Peter B. Reich | 159 | 790 | 110377 |
Nicholas J. Talley | 158 | 1571 | 90197 |
John R. Hodges | 149 | 812 | 82709 |
Thomas J. Smith | 140 | 1775 | 113919 |
Andrew G. Clark | 140 | 823 | 123333 |
Joss Bland-Hawthorn | 136 | 1114 | 77593 |
John F. Thompson | 132 | 1420 | 95894 |
Xin Wang | 121 | 1503 | 64930 |
William L. Griffin | 117 | 862 | 61494 |
Richard Shine | 115 | 1096 | 56544 |
Ian T. Paulsen | 112 | 354 | 69460 |
Jianjun Liu | 112 | 1040 | 71032 |
Douglas R. MacFarlane | 110 | 864 | 54236 |
Richard A. Bryant | 109 | 769 | 43971 |