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Institution

University of New South Wales

EducationSydney, New South Wales, Australia
About: University of New South Wales is a education organization based out in Sydney, New South Wales, Australia. It is known for research contribution in the topics: Population & Poison control. The organization has 51197 authors who have published 153634 publications receiving 4880608 citations. The organization is also known as: UNSW & UNSW Australia.


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Journal ArticleDOI
TL;DR: The sirtuins (SIRT1-7) are a family of nicotinamide adenine dinucleotide (NAD+)-dependent deacylases with remarkable abilities to prevent diseases and even reverse aspects of ageing as discussed by the authors.
Abstract: The sirtuins (SIRT1-7) are a family of nicotinamide adenine dinucleotide (NAD+)-dependent deacylases with remarkable abilities to prevent diseases and even reverse aspects of ageing. Mice engineered to express additional copies of SIRT1 or SIRT6, or treated with sirtuin-activating compounds (STACs) such as resveratrol and SRT2104 or with NAD+ precursors, have improved organ function, physical endurance, disease resistance and longevity. Trials in non-human primates and in humans have indicated that STACs may be safe and effective in treating inflammatory and metabolic disorders, among others. These advances have demonstrated that it is possible to rationally design molecules that can alleviate multiple diseases and possibly extend lifespan in humans.

526 citations

Proceedings ArticleDOI
27 May 2001
TL;DR: The solutions provided by the proposed algorithm for two standard test problems, outperform the Strength Pareto Evolutionary Algorithm, one of the state-of-the-art evolutionary algorithms for solving MOPs.
Abstract: The use of evolutionary algorithms (EAs) to solve problems with multiple objectives (known as multi-objective optimization problems (MOPs)) has attracted much attention. Being population based approaches, EAs offer a means to find a group of Pareto-optimal solutions in a single run. Differential evolution (DE) is an EA that was developed to handle optimization problems over continuous domains. The objective of this paper is to introduce a novel Pareto-frontier differential evolution (PDE) algorithm to solve MOPs. The solutions provided by the proposed algorithm for two standard test problems, outperform the Strength Pareto Evolutionary Algorithm, one of the state-of-the-art evolutionary algorithms for solving MOPs.

525 citations

Journal ArticleDOI
TL;DR: The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) provides a common framework for the diagnosis of neuroc cognitive disorders, first by describing the main cognitive syndromes, and then defining criteria to delineate specific aetiological subtypes of mild and major neurocognitive disorders.
Abstract: Neurocognitive disorders--including delirium, mild cognitive impairment and dementia--are characterized by decline from a previously attained level of cognitive functioning. These disorders have diverse clinical characteristics and aetiologies, with Alzheimer disease, cerebrovascular disease, Lewy body disease, frontotemporal degeneration, traumatic brain injury, infections, and alcohol abuse representing common causes. This diversity is reflected by the variety of approaches to classifying these disorders, with separate groups determining criteria for each disorder on the basis of aetiology. As a result, there is now an array of terms to describe cognitive syndromes, various definitions for the same syndrome, and often multiple criteria to determine a specific aetiology. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) provides a common framework for the diagnosis of neurocognitive disorders, first by describing the main cognitive syndromes, and then defining criteria to delineate specific aetiological subtypes of mild and major neurocognitive disorders. The DSM-5 approach builds on the expectation that clinicians and research groups will welcome a common language to deal with the neurocognitive disorders. As the use of these criteria becomes more widespread, a common international classification for these disorders could emerge for the first time, thus promoting efficient communication among clinicians and researchers.

525 citations

Journal ArticleDOI
Derrek P. Hibar1, Lars T. Westlye2, Lars T. Westlye3, Nhat Trung Doan3, Nhat Trung Doan2, Neda Jahanshad1, Joshua W. Cheung1, Christopher R.K. Ching1, Amelia Versace4, Amy C. Bilderbeck5, Anne Uhlmann6, Benson Mwangi7, Bernd Kramer8, Bronwyn Overs9, Cecilie B. Hartberg3, Christoph Abé10, Danai Dima11, Danai Dima12, Dominik Grotegerd13, Emma Sprooten14, Erlend Bøen, Esther Jiménez15, Fleur M. Howells6, G. Delvecchio, Henk Temmingh6, J Starke6, Jorge R. C. Almeida16, Jose Manuel Goikolea15, Josselin Houenou17, L M Beard18, Lisa Rauer8, Lucija Abramovic19, M Bonnin15, M F Ponteduro12, Maria Keil20, Maria M. Rive21, Nailin Yao22, Nailin Yao23, Nefize Yalin12, Pablo Najt24, P. G. P. Rosa25, Ronny Redlich13, Sarah Trost20, Saskia P. Hagenaars26, Scott C. Fears27, Scott C. Fears28, Silvia Alonso-Lana, T.G.M. van Erp29, Thomas Nickson26, Tiffany M. Chaim-Avancini25, Timothy B. Meier30, Timothy B. Meier31, Torbjørn Elvsåshagen3, Torbjørn Elvsåshagen2, Unn K. Haukvik3, Won Hee Lee14, Aart H. Schene32, Adrian J. Lloyd33, Allan H. Young12, Allison C. Nugent34, Anders M. Dale35, Andrea Pfennig36, Andrew M. McIntosh26, Beny Lafer25, Bernhard T. Baune37, C J Ekman10, Carlos A. Zarate34, Carrie E. Bearden28, Carrie E. Bearden38, Chantal Henry39, Chantal Henry17, Christian Simhandl, Colm McDonald24, C Bourne5, C Bourne40, Dan J. Stein6, Daniel H. Wolf18, Dara M. Cannon24, David C. Glahn23, David C. Glahn22, Dick J. Veltman41, Edith Pomarol-Clotet, Eduard Vieta15, Erick J. Canales-Rodríguez, Fabiano G. Nery25, Fabiano G. Nery42, Fábio L.S. Duran25, Geraldo F. Busatto25, Gloria Roberts43, Godfrey D. Pearlson23, Godfrey D. Pearlson22, Guy M. Goodwin5, Harald Kugel13, Heather C. Whalley26, Henricus G. Ruhé5, Jair C. Soares7, Janice M. Fullerton9, Janice M. Fullerton43, Janusz K. Rybakowski44, Jonathan Savitz30, Khallil T. Chaim25, M. Fatjó-Vilas, Márcio Gerhardt Soeiro-de-Souza25, Marco P. Boks19, Marcus V. Zanetti25, Maria Concepcion Garcia Otaduy25, Maristela S. Schaufelberger25, Martin Alda45, Martin Ingvar46, Martin Ingvar10, Mary L. Phillips4, Matthew J. Kempton12, Michael Bauer36, Mikael Landén10, Mikael Landén47, Natalia Lawrence48, N.E.M. van Haren19, Neil Horn6, Nelson B. Freimer38, Oliver Gruber8, Peter R. Schofield43, Peter R. Schofield9, Philip B. Mitchell43, René S. Kahn19, Rhoshel K. Lenroot9, Rhoshel K. Lenroot43, Rodrigo Machado-Vieira34, Rodrigo Machado-Vieira25, Roel A. Ophoff38, Roel A. Ophoff19, Salvador Sarró, Sophia Frangou14, Theodore D. Satterthwaite18, Tomas Hajek34, Tomas Hajek45, Udo Dannlowski13, Ulrik Fredrik Malt2, Ulrik Fredrik Malt3, Volker Arolt13, Wagner F. Gattaz25, Wayne C. Drevets49, Xavier Caseras50, Ingrid Agartz3, Paul M. Thompson1, Ole A. Andreassen3, Ole A. Andreassen2 
University of Southern California1, Oslo University Hospital2, University of Oslo3, University of Pittsburgh4, Oxford Health NHS Foundation Trust5, University of Cape Town6, University of Texas Health Science Center at Houston7, Heidelberg University8, Neuroscience Research Australia9, Karolinska Institutet10, City University London11, King's College London12, University of Münster13, Icahn School of Medicine at Mount Sinai14, University of Barcelona15, Brown University16, French Institute of Health and Medical Research17, University of Pennsylvania18, Utrecht University19, University of Göttingen20, University of Amsterdam21, Yale University22, Hartford Hospital23, National University of Ireland, Galway24, University of São Paulo25, University of Edinburgh26, West Los Angeles College27, University of California, Los Angeles28, University of California, Irvine29, McGovern Institute for Brain Research30, Medical College of Wisconsin31, Radboud University Nijmegen32, Northumberland, Tyne and Wear NHS Foundation Trust33, National Institutes of Health34, University of California, San Diego35, Dresden University of Technology36, University of Adelaide37, Semel Institute for Neuroscience and Human Behavior38, Pasteur Institute39, University of Birmingham40, VU University Medical Center41, University of Cincinnati Academic Health Center42, University of New South Wales43, Poznan University of Medical Sciences44, Dalhousie University45, Karolinska University Hospital46, University of Gothenburg47, University of Exeter48, Janssen Pharmaceutica49, Cardiff University50
TL;DR: The largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of bipolar disorder patients is performed, revealing previously undetected associations and providing an extensive analysis of potential confounding variables in neuroimaging studies of BD.
Abstract: Despite decades of research, the pathophysiology of bipolar disorder (BD) is still not well understood. Structural brain differences have been associated with BD, but results from neuroimaging studies have been inconsistent. To address this, we performed the largest study to date of cortical gray matter thickness and surface area measures from brain magnetic resonance imaging scans of 6503 individuals including 1837 unrelated adults with BD and 2582 unrelated healthy controls for group differences while also examining the effects of commonly prescribed medications, age of illness onset, history of psychosis, mood state, age and sex differences on cortical regions. In BD, cortical gray matter was thinner in frontal, temporal and parietal regions of both brain hemispheres. BD had the strongest effects on left pars opercularis (Cohen's d=-0.293; P=1.71 × 10-21), left fusiform gyrus (d=-0.288; P=8.25 × 10-21) and left rostral middle frontal cortex (d=-0.276; P=2.99 × 10-19). Longer duration of illness (after accounting for age at the time of scanning) was associated with reduced cortical thickness in frontal, medial parietal and occipital regions. We found that several commonly prescribed medications, including lithium, antiepileptic and antipsychotic treatment showed significant associations with cortical thickness and surface area, even after accounting for patients who received multiple medications. We found evidence of reduced cortical surface area associated with a history of psychosis but no associations with mood state at the time of scanning. Our analysis revealed previously undetected associations and provides an extensive analysis of potential confounding variables in neuroimaging studies of BD.

525 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated the accuracy and stability of an implicit numerical scheme for solving the fractional diffusion equation and provided algebraic and numerical evidence that the scheme is unconditionally stable for 0<@c=<1.

525 citations


Authors

Showing all 51897 results

NameH-indexPapersCitations
Ronald C. Kessler2741332328983
Nicholas G. Martin1921770161952
John C. Morris1831441168413
Richard S. Ellis169882136011
Ian J. Deary1661795114161
Nicholas J. Talley158157190197
Wolfgang Wagner1562342123391
Bruce D. Walker15577986020
Xiang Zhang1541733117576
Ian Smail15189583777
Rui Zhang1512625107917
Marvin Johnson1491827119520
John R. Hodges14981282709
Amartya Sen149689141907
J. Fraser Stoddart147123996083
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023389
20221,183
202111,342
202011,235
20199,891
20189,145