Institution
University of Lincoln
Education•Lincoln, Lincolnshire, United Kingdom•
About: University of Lincoln is a education organization based out in Lincoln, Lincolnshire, United Kingdom. It is known for research contribution in the topics: Population & Higher education. The organization has 2341 authors who have published 7025 publications receiving 124797 citations.
Topics: Population, Higher education, Mental health, Health care, Robot
Papers published on a yearly basis
Papers
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TL;DR: The implementation of the selected neuron model by a low-cost ARM processor as part of a composite vision module is presented, which is the first embedded LGMD vision module fits to a micro-robot and performs all image acquisition and processing independently.
Abstract: In this paper, we present a new bio-inspired vision system embedded for micro-robots. The vision system takes inspiration from locusts in detecting fast approaching objects. Neurophysiological research suggested that locusts use a wide-field visual neuron called lobula giant movement detector (LGMD) to respond to imminent collisions. In this paper, we present the implementation of the selected neuron model by a low-cost ARM processor as part of a composite vision module. As the first embedded LGMD vision module fits to a micro-robot, the developed system performs all image acquisition and processing independently. The vision module is placed on top of a micro-robot to initiate obstacle avoidance behavior autonomously. Both simulation and real-world experiments were carried out to test the reliability and robustness of the vision system. The results of the experiments with different scenarios demonstrated the potential of the bio-inspired vision system as a low-cost embedded module for autonomous robots.
74 citations
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TL;DR: The potential application of this method to further the understanding of latent fingerprint chemistry has been demonstrated and preliminary data are presented.
Abstract: Latent fingerprint residue is a complex mixture of organic and inorganic compounds. A full understanding of the composition of this mixture and how it changes after deposition is lacking. Three solvent systems were compared for the simultaneous extraction and derivatization with ethyl chloroformate of selected amino and fatty acids from a nonporous substrate (Mylar for subsequent analysis by gas chromatography-mass spectrometry. A solvent system comprised of sodium hydroxide, ethanol, and pyridine was found to be the most effective. This method was applied to the analysis of latent fingerprint residue deposited on Mylar and preliminary data are presented. Twelve amino acids (e.g., serine, glycine, and aspartic acid) and 10 fatty acids (e.g., tetradecanoic, hexadecanoic, and octadecanoic acids) were identified. The potential application of this method to further the understanding of latent fingerprint chemistry has been demonstrated.
74 citations
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TL;DR: In this article, the essential oil was entrapped in nanostructures without any chemical interaction with encapsulant material, this was demonstrated by Fourier transform infrared spectroscopy and differential scanning calorimetry.
74 citations
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Benedict C. Jones1, Lisa M. DeBruine2, Jessica Kay Flake3, Marco Tullio Liuzza4 +240 more•Institutions (137)
TL;DR: It is suggested that, while the valence–dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when the authors use different extraction methods and correlate and rotate the dimension reduction solution.
Abstract: Over the past 10 years, Oosterhof and Todorov’s valence–dominance model has emerged as the most prominent account of how people evaluate faces on social dimensions. In this model, two dimensions (valence and dominance) underpin social judgements of faces. Because this model has primarily been developed and tested in Western regions, it is unclear whether these findings apply to other regions. We addressed this question by replicating Oosterhof and Todorov’s methodology across 11 world regions, 41 countries and 11,570 participants. When we used Oosterhof and Todorov’s original analysis strategy, the valence–dominance model generalized across regions. When we used an alternative methodology to allow for correlated dimensions, we observed much less generalization. Collectively, these results suggest that, while the valence–dominance model generalizes very well across regions when dimensions are forced to be orthogonal, regional differences are revealed when we use different extraction methods and correlate and rotate the dimension reduction solution.
74 citations
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Wageningen University and Research Centre1, University of Leeds2, Smithsonian Tropical Research Institute3, Smithsonian Conservation Biology Institute4, Universidad Autónoma Gabriel René Moreno5, The Nature Conservancy6, University of Exeter7, World Resources Institute8, University of Montpellier9, Amazon.com10, University College London11, Universidade do Estado de Mato Grosso12, National University of Saint Anthony the Abbot in Cuzco13, Université Félix Houphouët-Boigny14, University of Lincoln15, University of Yaoundé16, University of Washington17, University of Los Andes18, University of Sheffield19, Center for International Forestry Research20
TL;DR: This study provides a rigorous and traceable refinement of the IPCC 2006 default rates in tropical and subtropical ecological zones, and identifies which areas require more research on ∆AGB.
Abstract: As countries advance in greenhouse gas (GHG) accounting for climate change mitigation, consistent estimates of aboveground net biomass change (∆AGB) are needed. Countries with limited forest monitoring capabilities in the tropics and subtropics rely on IPCC 2006 default ∆AGB rates, which are values per ecological zone, per continent. Similarly, research on forest biomass change at large scale also make use of these rates. IPCC 2006 default rates come from a handful of studies, provide no uncertainty indications, and do not distinguish between older secondary forests and old‐growth forests. As part of the 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories, we incorporate ∆AGB data available from 2006 onwards, comprising 176 chronosequences in secondary forests and 536 permanent plots in old‐growth and managed/logged forests located in 42 countries in Africa, North and South America, and Asia. We generated ∆AGB rate estimates for younger secondary forests (≤20 years), older secondary forests (>20 years and up to 100 years) and old‐growth forests, and accounted for uncertainties in our estimates. In tropical rainforests, for which data availability was the highest, our ∆AGB rate estimates ranged from 3.4 (Asia) to 7.6 (Africa) Mg ha‐1 yr‐1 in younger secondary forests, from 2.3 (North and South Ameri09ca) to 3.5 (Africa) Mg ha‐1 yr‐1 in older secondary forests, and 0.7 (Asia) to 1.3 (Africa) Mg ha‐1 yr‐1 in old‐growth forests. We provide a rigorous and traceable refinement of the IPCC 2006 default rates in tropical and subtropical ecological zones, and identify which areas require more research on ∆AGB. In this respect, this study should be considered as an important step towards quantifying the role of tropical and subtropical forests as carbon sinks with higher accuracy; our new rates can be used for large‐scale GHG accounting by governmental bodies, non‐governmental organisations and in scientific research.
73 citations
Authors
Showing all 2452 results
Name | H-index | Papers | Citations |
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David R. Williams | 178 | 2034 | 138789 |
David Scott | 124 | 1561 | 82554 |
Hugh S. Markus | 118 | 606 | 55614 |
Timothy E. Hewett | 116 | 531 | 49310 |
Wei Zhang | 96 | 1404 | 43392 |
Matthew Hall | 75 | 827 | 24352 |
Matthew C. Walker | 73 | 443 | 16373 |
James F. Meschia | 71 | 401 | 28037 |
Mark G. Macklin | 69 | 268 | 13066 |
John N. Lester | 66 | 349 | 19014 |
Christine J Nicol | 61 | 268 | 10689 |
Lei Shu | 59 | 598 | 13601 |
Frank Tanser | 54 | 231 | 17555 |
Simon Parsons | 54 | 462 | 15069 |
Christopher D. Anderson | 54 | 393 | 10523 |