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 & Randomized controlled trial. 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
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TL;DR: This comprehensive review of reviews summarises current knowledge on the barriers and facilitators to implementation of diverse complex interventions in primary care and suggests that the “fit” between the intervention and the context is critical in determining the success of implementation.
Abstract: This study is to identify, summarise and synthesise literature on the causes of the evidence to practice gap for complex interventions in primary care. This study is a systematic review of reviews. MEDLINE, EMBASE, CINAHL, Cochrane Library and PsychINFO were searched, from inception to December 2013. Eligible reviews addressed causes of the evidence to practice gap in primary care in developed countries. Data from included reviews were extracted and synthesised using guidelines for meta-synthesis. Seventy reviews fulfilled the inclusion criteria and encompassed a wide range of topics, e.g. guideline implementation, integration of new roles, technology implementation, public health and preventative medicine. None of the included papers used the term “cause” or stated an intention to investigate causes at all. A descriptive approach was often used, and the included papers expressed “causes” in terms of “barriers and facilitators” to implementation. We developed a four-level framework covering external context, organisation, professionals and intervention. External contextual factors included policies, incentivisation structures, dominant paradigms, stakeholders’ buy-in, infrastructure and advances in technology. Organisation-related factors included culture, available resources, integration with existing processes, relationships, skill mix and staff involvement. At the level of individual professionals, professional role, underlying philosophy of care and competencies were important. Characteristics of the intervention that impacted on implementation included evidence of benefit, ease of use and adaptability to local circumstances. We postulate that the “fit” between the intervention and the context is critical in determining the success of implementation. This comprehensive review of reviews summarises current knowledge on the barriers and facilitators to implementation of diverse complex interventions in primary care. To maximise the uptake of complex interventions in primary care, health care professionals and commissioning organisations should consider the range of contextual factors, remaining aware of the dynamic nature of context. Future studies should place an emphasis on describing context and articulating the relationships between the factors identified here. PROSPERO CRD42014009410
318 citations
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TL;DR: The results suggest that nitrifier denitrification could be a universal trait in the betaproteobacterial AOB and its potential ecological significance is discussed.
Abstract: Nitrous oxide (N(2)O) emission from soils is a major contributor to the atmospheric loading of this potent greenhouse gas. It is thought that autotrophic ammonia oxidizing bacteria (AOB) are a significant source of soil-derived N(2)O and a denitrification pathway (i.e. reduction of NO(2) (-) to NO and N(2)O), so-called nitrifier denitrification, has been demonstrated as a N(2)O production mechanism in Nitrosomonas europaea. It is thought that Nitrosospira spp. are the dominant AOB in soil, but little information is available on their ability to produce N(2)O or on the existence of a nitrifier denitrification pathway in this lineage. This study aims to characterize N(2)O production and nitrifier denitrification in seven strains of AOB representative of clusters 0, 2 and 3 in the cultured Nitrosospira lineage. Nitrosomonas europaea ATCC 19718 and ATCC 25978 were analysed for comparison. The aerobically incubated test strains produced significant (P < 0.001) amounts of N(2)O and total N(2)O production rates ranged from 2.0 amol cell(-1) h(-1), in Nitrosospira tenuis strain NV12, to 58.0 amol cell(-1) h(-1), in N. europaea ATCC 19718. Nitrosomonas europaea ATCC 19718 was atypical in that it produced four times more N(2)O than the next highest producing strain. All AOB tested were able to carry out nitrifier denitrification under aerobic conditions, as determined by production of (15)N-N(2)O from applied (15)N-NO(2) (-). Up to 13.5% of the N(2)O produced was derived from the exogenously applied (15)N-NO(2) (-). The results suggest that nitrifier denitrification could be a universal trait in the betaproteobacterial AOB and its potential ecological significance is discussed.
317 citations
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27 Jul 2020
TL;DR: The findings show that a single deep learning algorithm can be trained to predict a wide range of molecular alterations from routine, paraffin-embedded histology slides stained with hematoxylin and eosin.
Abstract: Molecular alterations in cancer can cause phenotypic changes in tumor cells and their micro-environment. Routine histopathology tissue slides - which are ubiquitously available - can reflect such morphological changes. Here, we show that deep learning can consistently infer a wide range of genetic mutations, molecular tumor subtypes, gene expression signatures and standard pathology biomarkers directly from routine histology. We developed, optimized, validated and publicly released a one-stop-shop workflow and applied it to tissue slides of more than 5000 patients across multiple solid tumors. Our findings show that a single deep learning algorithm can be trained to predict a wide range of molecular alterations from routine, paraffin-embedded histology slides stained with hematoxylin and eosin. These predictions generalize to other populations and are spatially resolved. Our method can be implemented on mobile hardware, potentially enabling point-of-care diagnostics for personalized cancer treatment. More generally, this approach could elucidate and quantify genotype-phenotype links in cancer.
317 citations
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University of Helsinki1, Swedish University of Agricultural Sciences2, Academy of Sciences of the Czech Republic3, Sewanee: The University of the South4, University of California, Irvine5, ETH Zurich6, University of New England (Australia)7, University of Texas at Arlington8, University of Alberta9, University of Iceland10, Smithsonian Tropical Research Institute11, University of São Paulo12, University of Hong Kong13, University of Copenhagen14, National Technical University15, University of Ostrava16, University of Oxford17, Zoological Society of London18, University of Turku19, Xishuangbanna Tropical Botanical Garden20, University of Aberdeen21, Makerere University22, Swarthmore College23, Aarhus University24, University of Huddersfield25, University of Tartu26, University of Bergen27, University of Bayreuth28, Lancaster University29
TL;DR: Across an 11,660-kilometer latitudinal gradient spanning six continents, increasing predation toward the equator is found, with a parallel pattern of increasingpredation toward lower elevations, suggesting consistent drivers of biotic interaction strength.
Abstract: Biotic interactions underlie ecosystem structure and function, but predicting interaction outcomes is difficult We tested the hypothesis that biotic interaction strength increases toward the equator, using a global experiment with model caterpillars to measure predation risk Across an 11,660-kilometer latitudinal gradient spanning six continents, we found increasing predation toward the equator, with a parallel pattern of increasing predation toward lower elevations Patterns across both latitude and elevation were driven by arthropod predators, with no systematic trend in attack rates by birds or mammals These matching gradients at global and regional scales suggest consistent drivers of biotic interaction strength, a finding that needs to be integrated into general theories of herbivory, community organization, and life-history evolution
316 citations
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TL;DR: In this article, a stable homo- topy version of Mumford's conjecture was proved, relying on Harer's stability theorem (15), Vassiliev's theorem concerning spaces of functions with moderate singularities (43), and methods from homotopy theory.
Abstract: D.Mumford conjectured in (30) that the rational cohomology of the stable moduli space of Riemann surfaces is a polynomial algebra generated by certain classes i of di- mension 2i. For the purpose of calculating rational cohomology, one may replace the stable moduli space of Riemann surfaces by B 1, where 1 is the group of isotopy classes of automorphisms of a smooth oriented connected surface of "large" genus. Tillmann's insight (41) that the plus construction makes B 1 into an infinite loop space led to a stable homo- topy version of Mumford's conjecture, stronger than the original (22). We prove the stronger version, relying on Harer's stability theorem (15), Vassiliev's theorem concerning spaces of functions with moderate singularities (43), (42) and methods from homotopy theory.
316 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 |