Institution
University of Aberdeen
Education•Aberdeen, United Kingdom•
About: University of Aberdeen is a education organization based out in Aberdeen, United Kingdom. It is known for research contribution in the topics: Population & Health care. The organization has 21174 authors who have published 49962 publications receiving 2105479 citations. The organization is also known as: Aberdeen University.
Papers published on a yearly basis
Papers
More filters
••
TL;DR: In this article, the frequency of prospective memory and retrospective memory failures was rated on a 16-item questionnaire by 862 volunteers, from five groups: patients with Alzheimer disease (rated by carers), carers of Alzheimer disease patients, elderly, young, and a group of married couples.
Abstract: Frequency of prospective memory and retrospective memory failures was rated on a 16-item questionnaire by 862 volunteers, from five groups: patients with Alzheimer Disease (rated by carers), carers of Alzheimer Disease patients, elderly, young, and a group of married couples. Reported memory failures were highest for Alzheimer Disease patients, and lowest for carers, with elderly and young controls in between. More prospective memory than retrospective memory failures were reported in all groups, although the difference was small for Alzheimer Disease patients who were rated near ceiling for both. Prospective memory failures of Alzheimer Disease patients were reported as more frustrating for carers than retrospective memory failures; prospective memory and retrospective memory failures frustrated Alzheimer Disease patients equally. Data from the couples indicated that there were no biases resulting from rating on behalf of someone else. These results suggest that: (1) normal ageing has no greater effect on self-reported retrospective memory than prospective memory failures, (2) the relatively small number of memory failures reported by carers may result from comparing themselves with the Alzheimer Disease patients in their care, and (3) prospective memory failures have a greater impact on the lives of the carers and are therefore more likely to be reported as early indicants of the disease.
553 citations
••
University of Vienna1, University of Edinburgh2, Massey University3, Newcastle University4, University of Copenhagen5, University of Glasgow6, Massachusetts Institute of Technology7, Boston College8, Fred Hutchinson Cancer Research Center9, University of Aberdeen10, San Diego State University11, Institut national de la recherche agronomique12, University of Birmingham13, Agricultural Research Organization, Volcani Center14, University of Jena15, University of Lausanne16, University of Warwick17, University of Amsterdam18, Delft University of Technology19, Temple University20, Technical University of Denmark21, Columbia University22
TL;DR: In this paper, the authors argue that the ability to predict and manage the function of these highly complex, dynamically changing communities is limited, and that close coordination of experimental data collection and method development with mathematical model building is needed to achieve significant progress in understanding of microbial dynamics and function.
Abstract: The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth’s soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model–experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved.
552 citations
••
TL;DR: Rat liver microsomal AROD results show that ratios between different alkoxyresorufin O-dealkylation (AROD) activities can be more useful than absolute values of single activities for identifying P450 forms.
551 citations
••
Princess Margaret Cancer Centre1, University of Aberdeen2, Mount Sinai Hospital3, Cornell University4, Science for Life Laboratory5, University Hospital of Basel6, Brigham and Women's Hospital7, Fudan University8, Taipei Veterans General Hospital9, Seoul National University Bundang Hospital10, University of Pittsburgh11, Harvard University12, New York University13, National Institutes of Health14, University of Tsukuba15, University of Milan16, Memorial Sloan Kettering Cancer Center17, VU University Medical Center18, University of Texas MD Anderson Cancer Center19, Anschutz Medical Campus20
TL;DR: The Blueprint (BP) Programmed Death Ligand 1 (PD-L1) Immunohistochemistry Comparability Project is a pivotal academic/professional society and industrial collaboration to assess the feasibility of harmonizing the clinical use of five independently developed commercial PD-L 1 immunohistochemical assays.
550 citations
••
Technical University of Berlin1, Indian Institute of Science2, Chalmers University of Technology3, Technical University of Denmark4, Norwegian University of Science and Technology5, National Renewable Energy Laboratory6, Autonomous University of Barcelona7, University of California, Davis8, University of Groningen9, The Nature Conservancy10, Humboldt University of Berlin11, Alpen-Adria-Universität Klagenfurt12, Potsdam Institute for Climate Impact Research13, ETH Zurich14, Electric Power Research Institute15, University of Aberdeen16, University of California, Santa Barbara17, National Autonomous University of Mexico18
TL;DR: In this article, the authors bring together perspectives of various communities involved in the research and regulation of bioenergy deployment in the context of climate change mitigation: Land-use and energy experts, land use and integrated assessment modelers, human geographers, ecosystem researchers, climate scientists and two different strands of life-cycle assessment experts.
Abstract: Bioenergy deployment offers significant potential for climate change mitigation, but also carries considerable risks. In this review, we bring together perspectives of various communities involved in the research and regulation of bioenergy deployment in the context of climate change mitigation: Land-use and energy experts, land-use and integrated assessment modelers, human geographers, ecosystem researchers, climate scientists and two different strands of life-cycle assessment experts. We summarize technological options, outline the state-of-the-art knowledge on various climate effects, provide an update on estimates of technical resource potential and comprehensively identify sustainability effects. Cellulosic feedstocks, increased end-use efficiency, improved land carbon-stock management and residue use, and, when fully developed, BECCS appear as the most promising options, depending on development costs, implementation, learning, and risk management. Combined heat and power, efficient biomass cookstoves and small-scale power generation for rural areas can help to promote energy access and sustainable development, along with reduced emissions. We estimate the sustainable technical potential as up to 100EJ: high agreement; 100-300EJ: medium agreement; above 300EJ: low agreement. Stabilization scenarios indicate that bioenergy may supply from 10 to 245EJyr(-1) to global primary energy supply by 2050. Models indicate that, if technological and governance preconditions are met, large-scale deployment (>200EJ), together with BECCS, could help to keep global warming below 2 degrees degrees of preindustrial levels; but such high deployment of land-intensive bioenergy feedstocks could also lead to detrimental climate effects, negatively impact ecosystems, biodiversity and livelihoods. The integration of bioenergy systems into agriculture and forest landscapes can improve land and water use efficiency and help address concerns about environmental impacts. We conclude that the high variability in pathways, uncertainties in technological development and ambiguity in political decision render forecasts on deployment levels and climate effects very difficult. However, uncertainty about projections should not preclude pursuing beneficial bioenergy options.
550 citations
Authors
Showing all 21424 results
Name | H-index | Papers | Citations |
---|---|---|---|
Paul M. Thompson | 183 | 2271 | 146736 |
Feng Zhang | 172 | 1278 | 181865 |
Ian J. Deary | 166 | 1795 | 114161 |
Peter A. R. Ade | 162 | 1387 | 138051 |
David W. Johnson | 160 | 2714 | 140778 |
Pete Smith | 156 | 2464 | 138819 |
Naveed Sattar | 155 | 1326 | 116368 |
John R. Hodges | 149 | 812 | 82709 |
Ruth J. F. Loos | 142 | 647 | 92485 |
Alan J. Silman | 141 | 708 | 92864 |
Michael J. Keating | 140 | 1169 | 76353 |
David Price | 138 | 1687 | 93535 |
John D. Scott | 135 | 625 | 83878 |
Aarno Palotie | 129 | 711 | 89975 |
Rajat Gupta | 126 | 1240 | 72881 |