266 research outputs found

    Prediction of Nitrogen Inputs for Sugar Beet.An Evaluation of Soil Tests and Soil

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    End of Project ReportCurrently, advice on nitrogen (N) use for tillage crops employs an index system based on crop management. However, there has not been a systematic evaluation of several of its components or of the relevance of soil tests, alone or in conjunction. The objective of the current study, therefore, was to evaluate relevant soil management data, various biological and chemical soil tests, and measurements of Nmin (NH4 + NO3) in the root profile, for prediction of fertiliser N requirements. The data used in the study were derived from a data bank of results of field and laboratory experiments for sugar beet. The following topics were addressed: selection of regression models based on soil management criteria; sustainability of contribution of soil N reserves; limitations of soil tests for N; long-term trends in Nmin and biomass C; relationship of mineral-N flush with biomass C; relevance of Nmin with growing-season rainfall; implications of winter rainfall for residual effects and their justification within the current soil N index.European Union Structural Funding (EAGGF

    The cognitive science of visual-spatial displays: Implications for design

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    Abstract This paper reviews cognitive science perspectives on the design of visual-spatial displays and introduces the other papers in this topic. It begins by classifying different types of visual-spatial displays, followed by a discussion of ways in which visual-spatial displays augment cognition and an overview of the perceptual and cognitive processes involved in using displays. The paper then argues for the importance of cognitive science methods to the design of visual displays and reviews some of the main principles of display design that have emerged from these approaches to date. Cognitive scientists have had good success in characterizing the performance of well-defined tasks with relatively simple visual displays, but many challenges remain in understanding the use of complex displays for ill-defined tasks. Current research exemplified by the papers in this topic extends empirical approaches to new displays and domains, informs the development of general principles of graphic design, and addresses current challenges in display design raised by the recent explosion in availability of complex data sets and new technologies for visualizing and interacting with these data

    Visual working memory for connected 3D objects: effects of stimulus complexity, dimensionality and connectivity.

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    Visual working memory (VWM) is typically measured using arrays of two-dimensional isolated stimuli with simple visual identities (e.g., color or shape), and these studies typically find strong capacity limits. Science, technology, engineering and mathematics (STEM) experts are tasked with reasoning with representations of three-dimensional (3D) connected objects, raising questions about whether those stimuli would be subject to the same limits. Here, we use a color change detection task to examine working memory capacity for 3D objects made up of differently colored cubes. Experiment 1a shows that increasing the number of parts of an object leads to less sensitivity to color changes, while change-irrelevant structural dimensionality (the number of dimensions into which parts of the structure extend) does not. Experiment 1b shows that sensitivity to color changes decreases similarly with increased complexity for multipart 3D connected objects and disconnected 2D squares, while sensitivity is slightly higher with 3D objects. Experiments 2a and 2b find that when other stimulus characteristics, such as size and visual angle, are controlled, change-irrelevant dimensionality and connectivity have no effect on performance. These results suggest that detecting color changes on 3D connected objects and on displays of isolated 2D stimuli are subject to similar set size effects and are not affected by dimensionality and connectivity when these properties are change-irrelevant, ruling out one possible explanation for scientists advantages in storing and manipulating representations of complex 3D objects

    Symmetry and spatial ability enhance change detection in visuospatial structures.

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    Science, Technology, Engineering, and Mathematics (STEM) domains require people to recognize and transform complex visuospatial displays that appear to vastly exceed the limits of visuospatial working memory. Here, we consider possible domain-general mechanisms that may explain this advantage: capitalizing on symmetry, a structural regularity that can produce more efficient representations. Participants briefly viewed a structure made up of three-dimensional connected cubes of different colors, which was either asymmetrical or symmetrical. After a short delay, they were asked to detect a change (colors swapping positions) within a rotated second view. In change trials, the second display always had an asymmetrical structure. The presence of symmetry in the initial view improved change detection, and performance also declined with angular disparity of the encoding and test displays. People with higher spatial ability performed better on the change-detection task, but there was no evidence that they were better at leveraging symmetry than low-spatial individuals. The results suggest that leveraging symmetrical structures can help people of all ability levels exceed typical working memory limits by constructing more efficient representations and substituting resource-demanding mental rotation operations with alternative orientation-independent strategies

    Men's information-seeking behavior regarding cancer risk and screening: A meta-narrative systematic review

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    Objective: Preventive strategies are known to reduce cancer risk and incidence and improve prognosis. Men seldom seek medical information about cancer prevention and risk reduction. The aim of this meta-narrative systematic review was to critically appraise evidence from qualitative, quantitative, and mixed-methods studies that explored men's information-seeking behaviors in relation to cancer prevention and risk reduction. Methods: MEDLINE, CINAHL Plus with Full Text, PsycINFO, PsycARTICLES, Psychology and Behavioral Sciences Collection, Education Full Text, and ERIC were systematically searched for studies published in English between January 1, 2006 and May 30, 2016. A total of 4117 titles were identified; of which, 31 studies were included (21 qualitative studies, 9 quantitative studies, and 1 mixed-methods study). The methodological quality of the studies was appraised by using different tools. Results: Most studies focused on screening for prostate (n = 18) and colorectal cancer (n = 7). Most men were passive information-gatherers rather than active information-seekers. Key sources of information included the Internet for active information-seekers and health care professionals for passive information-gatherers. Barriers to information-seeking included information overload, embarrassment, and fear. Low literacy and health literacy levels were addressed in 3 studies and were identified as impediments to active information-seeking. Facilitators to information-seeking included family support, media, celebrity endorsements, and targeted information. Conclusions: Men's information-seeking behavior regarding cancer risk reduction, prevention, and screening is influenced by several factors. This necessitates targeted interventions aimed at raising awareness of cancer prevention and screening, while accounting for men's informational needs, preferred learning strategies, and literacy levels
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