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: In this article, the antecedents of clients' relationship commitment in the context of a professional service, high in credence qualities (where customers have difficulty in confidently evaluating service quality, even purchase and consumption) are examined.
Abstract: Most previous research in the domain of relationship marketing has focused on the antecedents of loyalty and commitment in industrial markets, distribution channels or consumer goods. This study, however, models the antecedents of clients’ relationship commitment in the context of a professional service, high in credence qualities (where customers have difficulty in confidently evaluating service quality, even purchase and consumption) ‐ i.e. personal financial planning services. The impact of four key explanatory variables (communication effectiveness, technical quality, functional quality and trust) are examined. The results support the hypothesized model and show communication effectiveness to be a key driver of all antecedent variables, and the single most powerful determinant of relationship commitment.
642 citations
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TL;DR: This work compares the genome sequences of two bacteria, Photobacterium angustum S14 and Sphingopyxis alaskensis RB2256, that serve as useful model organisms for copiotrophic and oligotrophic modes of life and relates the genomic features to trophic strategy for these organisms and defines their molecular mechanisms of adaptation.
Abstract: Many marine bacteria have evolved to grow optimally at either high (copiotrophic) or low (oligotrophic) nutrient concentrations, enabling different species to colonize distinct trophic habitats in the oceans. Here, we compare the genome sequences of two bacteria, Photobacterium angustum S14 and Sphingopyxis alaskensis RB2256, that serve as useful model organisms for copiotrophic and oligotrophic modes of life and specifically relate the genomic features to trophic strategy for these organisms and define their molecular mechanisms of adaptation. We developed a model for predicting trophic lifestyle from genome sequence data and tested >400,000 proteins representing >500 million nucleotides of sequence data from 126 genome sequences with metagenome data of whole environmental samples. When applied to available oceanic metagenome data (e.g., the Global Ocean Survey data) the model demonstrated that oligotrophs, and not the more readily isolatable copiotrophs, dominate the ocean's free-living microbial populations. Using our model, it is now possible to define the types of bacteria that specific ocean niches are capable of sustaining.
642 citations
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Stanford University1, UCL Institute of Child Health2, Epilepsy Society3, University of York4, Albert Einstein College of Medicine5, Jikei University School of Medicine6, Utrecht University7, Katholieke Universiteit Leuven8, Montefiore Medical Center9, University Hospital of Lausanne10, Royal Children's Hospital11, University Medical Center Freiburg12, University of New South Wales13, Thomas Jefferson University14, Royal Hospital for Sick Children15, University of Glasgow16
TL;DR: This companion paper to the introduction of the International League Against Epilepsy (ILAE) 2017 classification of seizure types provides guidance on how to employ the classification, and a “users’ manual” for the ILAE 2017 will assist the adoption of the new system.
Abstract: This companion paper to the introduction of the International League Against Epilepsy (ILAE) 2017 classification of seizure types provides guidance on how to employ the classification. Illustration of the classification is enacted by tables, a glossary of relevant terms, mapping of old to new terms, suggested abbreviations, and examples. Basic and extended versions of the classification are available, depending on the desired degree of detail. Key signs and symptoms of seizures (semiology) are used as a basis for categories of seizures that are focal or generalized from onset or with unknown onset. Any focal seizure can further be optionally characterized by whether awareness is retained or impaired. Impaired awareness during any segment of the seizure renders it a focal impaired awareness seizure. Focal seizures are further optionally characterized by motor onset signs and symptoms: atonic, automatisms, clonic, epileptic spasms, or hyperkinetic, myoclonic, or tonic activity. Nonmotor-onset seizures can manifest as autonomic, behavior arrest, cognitive, emotional, or sensory dysfunction. The earliest prominent manifestation defines the seizure type, which might then progress to other signs and symptoms. Focal seizures can become bilateral tonic-clonic. Generalized seizures engage bilateral networks from onset. Generalized motor seizure characteristics comprise atonic, clonic, epileptic spasms, myoclonic, myoclonic-atonic, myoclonic-tonic-clonic, tonic, or tonic-clonic. Nonmotor (absence) seizures are typical or atypical, or seizures that present prominent myoclonic activity or eyelid myoclonia. Seizures of unknown onset may have features that can still be classified as motor, nonmotor, tonic-clonic, epileptic spasms, or behavior arrest. This "users' manual" for the ILAE 2017 seizure classification will assist the adoption of the new system.
641 citations
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Nicholas J Kassebaum1, Ryan M Barber1, Zulfiqar A Bhutta2, Zulfiqar A Bhutta3 +613 more•Institutions (272)
TL;DR: In this article, the authors quantified maternal mortality throughout the world by underlying cause and age from 1990 to 2015 for ages 10-54 years by systematically compiling and processing all available data sources from 186 of 195 countries and territories.
641 citations
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TL;DR: Data from 13 long-term (> 1 yr), field-based studies of the effects of elevated CO2 concentration on European forest tree species were analysed using meta-analysis and modelling and the synthesis will aid future modelling studies of responses of forest trees to elevated [CO2 ].
Abstract: • Data from 13 long-term (> 1 yr), field-based studies of the effects of elevated CO2 concentration ([CO2]) on European forest tree species were analysed using meta-analysis and modelling. Meta-analysis was used to determine mean responses across the data sets, and data were fitted to two commonly used models of stomatal conductance in order to explore response to environmental conditions and the relationship with assimilation.
• Meta-analysis indicated a significant decrease (21%) in stomatal conductance in response to growth in elevated [CO2] across all studies. The response to [CO2] was significantly stronger in young trees than old trees, in deciduous compared to coniferous trees, and in water stressed compared to nutrient stressed trees. No evidence of acclimation of stomatal conductance to elevated [CO2] was found.
• Fits of data to the first model showed that growth in elevated [CO2] did not alter the response of stomatal conductance to vapour pressure deficit, soil water content or atmospheric [CO2]. Fits of data to the second model indicated that conductance and assimilation responded in parallel to elevated [CO2] except when water was limiting.
• Data were compared to a previous meta-analysis and it was found that the response of gs to elevated [CO2] was much more consistent in long-term (> 1 yr) studies, emphasising the need for long-term elevated [CO2] studies. By interpreting data in terms of models, the synthesis will aid future modelling studies of responses of forest trees to elevated [CO2].
641 citations
Authors
Showing all 51897 results
Name | H-index | Papers | Citations |
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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 |