2,123 research outputs found

    Abrupt climate change and extinction events

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    There is a growing body of theoretical and empirical support for the concept of instabilities in the climate system, and indications that abrupt climate change may in some cases contribute to abrupt extinctions. Theoretical indications of instabilities can be found in a broad spectrum of climate models (energy balance models, a thermohaline model of deep-water circulation, atmospheric general circulation models, and coupled ocean-atmosphere models). Abrupt transitions can be of several types and affect the environment in different ways. There is increasing evidence for abrupt climate change in the geologic record and involves both interglacial-glacial scale transitions and the longer-term evolution of climate over the last 100 million years. Records from the Cenozoic clearly show that the long-term trend is characterized by numerous abrupt steps where the system appears to be rapidly moving to a new equilibrium state. The long-term trend probably is due to changes associated with plate tectonic processes, but the abrupt steps most likely reflect instabilities in the climate system as the slowly changing boundary conditions caused the climate to reach some threshold critical point. A more detailed analysis of abrupt steps comes from high-resolution studies of glacial-interglacial fluctuations in the Pleistocene. Comparison of climate transitions with the extinction record indicates that many climate and biotic transitions coincide. The Cretaceous-Tertiary extinction is not a candidate for an extinction event due to instabilities in the climate system. It is quite possible that more detailed comparisons and analysis will indicate some flaws in the climate instability-extinction hypothesis, but at present it appears to be a viable candidate as an alternate mechanism for causing abrupt environmental changes and extinctions

    Legume Pick ‘n’ Mix

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    In Spring 2009, ORC set up a legume trial on an organic farm, Barrington Park in Gloucestershire, as part of a large research project called Legume LINK. One of its aims is to compare the performance of several legume and grass species for use in fertility building leys. ORC researchers Thomas Döring and Oliver Crowley report that the trial shows the advantage of mixing species grows over time

    Harmonic spinors and metrics of positive curvature via the Gromoll filtration and Toda brackets

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    We construct non-trivial elements of order 2 in the homotopy groups π8j+1+∗Diff(D6,∂)\pi_{8j+1+*} Diff(D^6,\partial), for * congruent 1 or 2 modulo 8, which are detected by the "assembling homomorphism" (giving rise to the Gromoll filtration), followed by the alpha-invariant in KO∗=Z/2KO_*=Z/2. These elements are constructed by means of Morlet's homotopy equivalence between Diff(D6,∂)Diff(D^6,\partial) and Ω7(PL6/O6)\Omega^7(PL_6/O_6), and Toda brackets in PL6/O6PL_6/O_6. We also construct non-trivial elements of order 2 in π∗PLm\pi_* PL_m for every m greater or equal to 6 and * congruent to 1 or 2 modulo 8, which are detected by the alpha-invariant. As consequences, we (a) obtain non-trivial elements of order 2 in π∗Diff(Dm,∂)\pi_* Diff(D^m,\partial) for m greater or equal to 6, and * + m congruent 0 or 1 modulo 8; (b) these elements remain non-trivial in π∗Diff(M)\pi_* Diff(M) where M is a closed spin manifold of the same dimension m and * > 0; (c) they act non-trivially on the corresponding homotopy group of the space of metrics of positive scalar curvature of such an M; in particular these homotopy groups are all non-trivial. The same applies to all other diffeomorphism invariant metrics of positive curvature, like the space of metrics of positive sectional curvature, or the space of metrics of positive Ricci curvature, provided they are non-empty. Further consequences are: (d) any closed spin manifold of dimension m greater or equal to 6 admits a metric with harmonic spinors; (e) there is no analogue of the odd-primary splitting of (PL/O)(p)(PL/O)_{(p)} for the prime 2; (f) for any bP8j+4bP_{8j+4}-sphere (where j > 0) of order which divides 4, the corresponding element in π0Diff(D8j+2,∂)\pi_0 Diff(D^{8j+2},\partial) lifts to π8j−4Diff(D6,∂)\pi_{8j-4} Diff(D^6,\partial), i.e., lies correspondingly deep down in the Gromoll filtration.Comment: Final version, to appear in Journal of Topology. 26 page

    Saving fuel with non-inversion tillage

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    The mouldboard plough is the traditional and proven method of preparing a seedbed for drilling and controlling arable weeds. However there is a downside; trials have shown deterioration in structural stability, losses of soil organic matter, poor moisture retention and infiltration rates (Riley et al 2008). Farmers have long been aware of these adverse impacts of mouldboard ploughing, but concerns over the greenhouse gas emissions associated with tractor usage have prompted a fresh look at cultivations. ORC researchers, Oliver Crowley, Jemima Showering and Thomas F. Döring consider the case for non-inversion tillage

    Using minimum tillage to improve the efficiency of ecosystem service delivery on organic farms

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    Organic farming practices aim to maximise the delivery of ecosystem services in the agricultural landscape. However, in order to maintain optimal crop productivity the mouldboard plough is often used to control weeds and this can have negative effects on a range of soil parameters, thereby jeopardizing delivery of these services. Reduced tillage (RT) can be beneficial to soils and could improve both the efficiency of production and the delivery of ecosystem services on organic farms. However, abandoning the plough on organic farms is challenging due to impaired weed control. Here we report on a two year trial where an RT system with the Ecodyn, with duck feet shares operating at a depth of 7.6 cm in combination with seed drilling, was compared with mouldboard ploughing. Spring oat and spring barley establishment was improved under RT. Weed cover and biomass was greater under RT, but there was no difference in cereal grain yields in either year. The RT system used 71% less fuel and tillage operations took 72% less time that the plough system

    Against the grain

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    An Organic Research Centre project is examining how diversity-based tools can assist in the on-farm improvement of organic wheat. Successful organic crop production requires varieties that are resistant to diseases, competitive against weeds, and effective at scavenging nutrients. Yet conventional plant breeding has largely neglected organic systems by breeding varieties exclusively for high input conditions. As a consequence, organic producers currently do not have enough choice of plant varieties for organic conditions. One way to expand the choice is to create plant diversity anew and subject it to natural selection on organic farms. After several generations the dominating plants would be better suited to organic systems. This idea is being tested in the Organic Research Centre’s Wheat Breeding LINK project

    Community Policing: The Foundation of Trust between Police and Society

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    Police officers wear many hats such as protecting people, preventing crimes, and responding to other calls for help. Policing is under a microscope in the current climate of the country with debates about police brutality, body-worn cameras, and the overall trust between police and the public. The most universally accepted way to improve trust between the police and public is through community policing. Studies show the community policing policies have improved community-police relations in the United States. I plan to use this knowledge in my career as a police officer by making sure that every interaction I have with the public is from the foundation of integrity and honesty

    Multimodal Observation and Interpretation of Subjects Engaged in Problem Solving

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    In this paper we present the first results of a pilot experiment in the capture and interpretation of multimodal signals of human experts engaged in solving challenging chess problems. Our goal is to investigate the extent to which observations of eye-gaze, posture, emotion and other physiological signals can be used to model the cognitive state of subjects, and to explore the integration of multiple sensor modalities to improve the reliability of detection of human displays of awareness and emotion. We observed chess players engaged in problems of increasing difficulty while recording their behavior. Such recordings can be used to estimate a participant's awareness of the current situation and to predict ability to respond effectively to challenging situations. Results show that a multimodal approach is more accurate than a unimodal one. By combining body posture, visual attention and emotion, the multimodal approach can reach up to 93% of accuracy when determining player's chess expertise while unimodal approach reaches 86%. Finally this experiment validates the use of our equipment as a general and reproducible tool for the study of participants engaged in screen-based interaction and/or problem solving

    Deep learning investigation for chess player attention prediction using eye-tracking and game data

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    This article reports on an investigation of the use of convolutional neural networks to predict the visual attention of chess players. The visual attention model described in this article has been created to generate saliency maps that capture hierarchical and spatial features of chessboard, in order to predict the probability fixation for individual pixels Using a skip-layer architecture of an autoencoder, with a unified decoder, we are able to use multiscale features to predict saliency of part of the board at different scales, showing multiple relations between pieces. We have used scan path and fixation data from players engaged in solving chess problems, to compute 6600 saliency maps associated to the corresponding chess piece configurations. This corpus is completed with synthetically generated data from actual games gathered from an online chess platform. Experiments realized using both scan-paths from chess players and the CAT2000 saliency dataset of natural images, highlights several results. Deep features, pretrained on natural images, were found to be helpful in training visual attention prediction for chess. The proposed neural network architecture is able to generate meaningful saliency maps on unseen chess configurations with good scores on standard metrics. This work provides a baseline for future work on visual attention prediction in similar contexts
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