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 & Context (language use). The organization has 14075 authors who have published 47673 publications receiving 1416184 citations. The organization is also known as: Macquarie uni.
Topics: Population, Context (language use), Laser, Galaxy, Anxiety
Papers published on a yearly basis
Papers
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01 Mar 2014
TL;DR: Recommendations are provided that could promote the study of negative effects in Internet interventions with the aim of increasing the knowledge of its occurrence and characteristics, and advising researchers to systematically probe for negative effects whenever conducting clinical trials involving Internet interventions.
Abstract: Internet interventions have great potential for alleviating emotional distress, promoting mental health, and enhancing well-being. Numerous clinical trials have demonstrated their efficacy for a number of psychiatric conditions, and interventions delivered via the Internet will likely become a common alternative to face-to-face treatment. Meanwhile, research has paid little attention to the negative effects associated with treatment, warranting further investigation of the possibility that some patients might deteriorate or encounter adverse events despite receiving best available care. Evidence from research of face-to-face treatment suggests that negative effects afflict 5–10% of all patients undergoing treatment in terms of deterioration. However, there is currently a lack of consensus on how to define and measure negative effects in psychotherapy research in general, leaving researchers without practical guidelines for monitoring and reporting negative effects in clinical trials. The current paper therefore seeks to provide recommendations that could promote the study of negative effects in Internet interventions with the aim of increasing the knowledge of its occurrence and characteristics. Ten leading experts in the field of Internet interventions were invited to participate and share their perspective on how to explore negative effects, using the Delphi technique to facilitate a dialog and reach an agreement. The authors discuss the importance of conducting research on negative effects in order to further the understanding of its incidence and different features. Suggestions on how to classify and measure negative effects in Internet interventions are proposed, involving methods from both quantitative and qualitative research. Potential mechanisms underlying negative effects are also discussed, differentiating common factors shared with face-to-face treatments from those unique to treatments delivered via the Internet. The authors conclude that negative effects are to be expected and need to be acknowledged to a greater extent, advising researchers to systematically probe for negative effects whenever conducting clinical trials involving Internet interventions, as well as to share their findings in scientific journals.
274 citations
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National Institutes of Health1, Mayo Clinic2, City of Hope National Medical Center3, University of New South Wales4, University of Alabama5, University of California, San Francisco6, Karolinska Institutet7, University of Chicago8, Yale University9, University of Bordeaux10, Macquarie University11, University of Paris-Sud12, Harvard University13, Stanford University14, Exponent15, Uppsala University16, Statens Serum Institut17, University of Florence18, Imperial College London19, German Cancer Research Center20, Icahn School of Medicine at Mount Sinai21, International Agency for Research on Cancer22, University of Cagliari23, University of Burgundy24, University of Freiburg25, Dublin City University26, University of Southern California27, University of Washington28, Fred Hutchinson Cancer Research Center29, Drexel University30, Wayne State University31, University of York32, Simon Fraser University33, University of British Columbia34, University of Sydney35, Mario Negri Institute for Pharmacological Research36, University of Milan37, University of Rochester38, Cancer Prevention Institute of California39, Emory University40, Roger Williams Medical Center41, Boston University42
TL;DR: Using a novel approach to investigate etiologic heterogeneity among NHL subtypes,risk factors that were common among subtypes as well as risk factors that appeared to be distinct among individual or a few subtypes are identified, suggesting both subtype-specific and shared underlying mechanisms.
Abstract: Non-Hodgkin lymphoma (NHL) is the most common hematologic malignancy and the fifth most common type of cancer in more developed regions of the world (1). Numerous NHL subtypes with distinct combinations of morphologic, immunophenotypic, genetic, and clinical features are currently recognized (2,3). The incidence of NHL subtypes varies substantially by age, sex, and race/ethnicity (4–7). However, the etiological implications of this biological, clinical, and epidemiological diversity are incompletely understood.
The importance of investigating etiology by NHL subtype is clearly supported by research on immunosuppression, infections, and autoimmune diseases, which are the strongest and most established risk factors for NHL. Studies of solid organ transplant recipients and individuals infected with HIV demonstrate that risks are markedly increased for several—but not all—NHL subtypes (8–13). Some infections and autoimmune diseases are associated with a single specific subtype [eg, human T-cell lymphotropic virus, type I (HTLV-I) with adult T-cell leukemia/lymphoma (14), celiac disease with enteropathy-type peripheral T-cell lymphoma (PTCL) (15–17)], whereas others [eg, Epstein–Barr virus, hepatitis C virus (HCV), Sjogren’s syndrome (18–21)] have been associated with multiple subtypes.
In the last two decades, reports from individual epidemiological studies of NHL have suggested differences in risks among NHL subtypes for a wide range of risk factors, but most studies have lacked the statistical power to assess any differences quantitatively and have not systematically evaluated combinations of subtypes. One study assessed multiple risk factors and found support for both etiologic commonality and heterogeneity for NHL subtypes, with risk factor patterns suggesting that immune dysfunction is of greater etiologic importance for diffuse large B-cell lymphoma (DLBCL) and marginal zone lymphoma than for chronic lymphocytic leukemia/small lymphocytic lymphoma (CLL/SLL) and follicular lymphoma (22). However, that analysis was limited to approximately 1300 NHL cases and considered only the four most common NHL subtypes. Pooling data from multiple studies through the International Lymphoma Epidemiology Consortium (InterLymph) have provided substantial insight into associations between specific risk factors and NHL subtypes, with evidence that family history of hematologic malignancy, autoimmune diseases, atopic conditions, lifestyle factors (smoking, alcohol, anthropometric measures, and hair dye use), and sun exposure are associated with NHL risk (19,21,23–32). However, no previous study has compared patterns of risk for a range of exposures for both common and rarer NHL subtypes.
We undertook the InterLymph NHL Subtypes Project, a pooled analysis of 20 case–control studies including 17 471 NHL cases and 23 096 controls, to advance understanding of NHL etiology by investigating NHL subtype-specific risks associated with medical history, family history of hematologic malignancy, lifestyle factors, and occupation. The detailed risk factor profiles for each of 11 NHL subtypes appear in this issue (15–17,33–40). In this report, we assess risk factor heterogeneity among the NHL subtypes and identify subtypes that have similar risk factor profiles.
273 citations
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TL;DR: It is now more than 10 years after the publication of the monograph, The Activist Teaching Profession, which, at the time, could be described as a call to action for the teaching profession as discussed by the authors.
Abstract: It is now more than 10 years after the publication of the monograph, The Activist Teaching Profession, which, at the time, could be described as a call to action for the teaching profession. I reflect here on how far has the profession progressed in responding to that call to action. The idea of a ‘call to action’ could be seen to born out of industrial rather than professional discourses: 10 years ago different factors were shaping teachers’ professional practice and identity and a call to action was a metaphor and a strategy to mobilize teachers. In this paper, I identify the factors that are still influencing and shaping the teaching profession and argue that different times require different responses and that current thinking and debates around teacher professionalism circulate around professional learning. In this paper, I argue that the time for an industrial approach to the teaching profession has passed. I make the case for systems, schools and teachers to be more research active with tea...
273 citations
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TL;DR: It is suggested that the appropriate trait for selection for enhanced WUE is increased gm/gs, and it is concluded that for simultaneous improvement of AN and WUE, genetic manipulation of gm should avoid parallel changes in gs.
Abstract: A key objective for sustainable agriculture and forestry is to breed plants with both high carbon gain and water-use efficiency (WUE). At the level of leaf physiology, this implies increasing net photosynthesis (A N) relative to stomatal conductance (g s). Here, we review evidence for CO2 diffusional constraints on photosynthesis and WUE. Analyzing past observations for an extensive pool of crop and wild plant species that vary widely in mesophyll conductance to CO2 (g m), g s, and foliage A N, it was shown that both g s and g m limit A N, although the relative importance of each of the two conductances depends on species and conditions. Based on Fick's law of diffusion, intrinsic WUE (the ratio A N/g s) should correlate on the ratio g m/g s, and not g m itself. Such a correlation is indeed often observed in the data. However, since besides diffusion A N also depends on photosynthetic capacity (i.e., V c,max), this relationship is not always sustained. It was shown that only in a very few cases, genotype selection has resulted in simultaneous increases of both A N and WUE. In fact, such a response has never been observed in genetically modified plants specifically engineered for either reduced g s or enhanced g m. Although increasing g m alone would result in increasing photosynthesis, and potentially increasing WUE, in practice, higher WUE seems to be only achieved when there are no parallel changes in g s. We conclude that for simultaneous improvement of A N and WUE, genetic manipulation of g m should avoid parallel changes in g s, and we suggest that the appropriate trait for selection for enhanced WUE is increased g m/g s.
273 citations
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New Mexico State University1, University of Utah2, University of Texas at Austin3, University of Arizona4, University of La Laguna5, Spanish National Research Council6, Macquarie University7, University of Virginia8, Moscow State University9, University of Toronto10, Monash University11, Ohio State University12, Lund University13, Eötvös Loránd University14, University of Washington15, University of Concepción16, University of Burgundy17, University of Colorado Boulder18, Salisbury University19
TL;DR: Alfred P. Sloan Foundation, U.S. Department of Energy Office of Science, Center for High Performance Computing at the University of Utah, Brazilian Participation Group, Carnegie Institution for Science; Carnegie Mellon University; Chilean Participation Group; French Participation Group and Harvard-Smithsonian Center for Astrophysics; Instituto de Astrofisica de Canarias; Johns Hopkins University; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo; Lawrence Berkeley National Laboratory; Leibniz Institut fur Astrophysik Potsdam
Abstract: Alfred P. Sloan Foundation; U.S. Department of Energy Office of Science; Center for High-Performance Computing at the University of Utah; Brazilian Participation Group; Carnegie Institution for Science; Carnegie Mellon University; Chilean Participation Group; French Participation Group; Harvard-Smithsonian Center for Astrophysics; Instituto de Astrofisica de Canarias; Johns Hopkins University; Kavli Institute for the Physics and Mathematics of the Universe (IPMU)/University of Tokyo; Lawrence Berkeley National Laboratory; Leibniz Institut fur Astrophysik Potsdam (AIP); Max-Planck-Institut fur Astronomie (MPIA Heidelberg); Max-Planck-Institut fur Astrophysik (MPA Garching); Max-Planck-Institut fur Extra-terrestrische Physik (MPE); National Astronomical Observatories of China; New Mexico State University; New York University; University of Notre Dame; Observatorio Nacional/MCTI; Ohio State University; Pennsylvania State University; Shanghai Astronomical Observatory; United Kingdom Participation Group; Universidad Nacional Autonoma de Mexico; University of Arizona; University of Colorado Boulder; University of Oxford; University of Portsmouth; University of Utah; University of Virginia; University of Washington; University of Wisconsin; Vanderbilt University; Yale University; National Science Foundation [AST-1109178]; NSF [AST-1616636, AST-1211673]; Premium Postdoctoral Research Program of the Hungarian Academy of Sciences; Hungarian NKFI Grants of the Hungarian National Research, Development and Innovation Office [K-119517]; Birgit and Hellmuth Hertz Foundation (via the Royal Physiographic Society of Lund); Crafoord Foundation; Stiftelsen Olle Engkvist Byggmastare
273 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 |