Institution
University of New South Wales
Education•Sydney, 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.
Papers published on a yearly basis
Papers
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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
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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
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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
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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
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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
Name | H-index | Papers | Citations |
---|---|---|---|
Ronald C. Kessler | 274 | 1332 | 328983 |
Nicholas G. Martin | 192 | 1770 | 161952 |
John C. Morris | 183 | 1441 | 168413 |
Richard S. Ellis | 169 | 882 | 136011 |
Ian J. Deary | 166 | 1795 | 114161 |
Nicholas J. Talley | 158 | 1571 | 90197 |
Wolfgang Wagner | 156 | 2342 | 123391 |
Bruce D. Walker | 155 | 779 | 86020 |
Xiang Zhang | 154 | 1733 | 117576 |
Ian Smail | 151 | 895 | 83777 |
Rui Zhang | 151 | 2625 | 107917 |
Marvin Johnson | 149 | 1827 | 119520 |
John R. Hodges | 149 | 812 | 82709 |
Amartya Sen | 149 | 689 | 141907 |
J. Fraser Stoddart | 147 | 1239 | 96083 |