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| Jacobson, Susan K.; Department of Wildlife Ecology and Conservation, University of Florida; jacobson@ufl.edu; Seavey, Jennifer R; Shoals Marine Laboratory; School of Marine Science and Ocean Engineering, University of New Hampshire; College of Agriculture and Life Science, Cornell University; jennifer.seavey@unh.edu; Mueller, Robert C; School of Art and Art History, University of Florida; bmueller@ufl.edu. |
| An interdisciplinary field trip to a remote marine lab joined graduate students from fine arts and natural resource science departments to think creatively about the topic of climate change and science communication. We followed a learning cycle framework to allow the students to explore marine ecosystems and participate in scientific lectures, group discussions, and an artist-led project making abstract collages representing climate change processes. Students subsequently worked in small groups to develop environmental communication material for public visitors. We assessed the learning activity and the communication product using pre- and post-field trip participant surveys, focus group discussions, and critiques by art and communication experts of the... |
| Tipo: Peer-Reviewed Reports |
Palavras-chave: Collage; Creativity; Education; Environment; Field trip; Interpretation; Peer learning; Survey. |
| Ano: 2016 |
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| Staus, Alexander. |
| This article analyses dealer satisfaction data in the agricultural technology market in Germany. The dealers could rate their suppliers in the ’overall satisfaction’ and in 38 questions which can be summarized in 8 dimensions. An ordinal regression model which is also known as the proportional odds model is used to analyse the ordinal scaled rating of the dealers. The ordinal regression model is a well examined method in econometric theory, but many authors prefer using a linear regression model due to better interpretation, even the assumptions of a linear regression do not fit the data. Since the estimated coefficients of an ordinal regression model can not be properly interpreted we show other methods for a better insight of the relationship of the... |
| Tipo: Working or Discussion Paper |
Palavras-chave: Keywords: ordinal regression; Dealer satisfaction; Interpretation; Agricultural and Food Policy; Marketing; C25; C51; Q13. |
| Ano: 2007 |
URL: http://purl.umn.edu/98632 |
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| Kozak,Marcin; Azevedo,Ricardo Antunes. |
| Studying relationships among plant and crop traits is crucial for crop scientists to understand complex biological systems that occur in plants and the field. Such knowledge constitutes the basis for more practical information on how to manage breeding and production to provide better or more suitable cultivars, higher yields, lower yield gaps, and resistance to pests etc. To acquire such knowledge, however, representative models of associations between plant and crop traits must be constructed. In path analysis - one of the major methods for analyzing multivariate relationships between quantitative traits - it is important to decide on an appropriate model for these associations, a model that is representative of the corresponding biological phenomena... |
| Tipo: Info:eu-repo/semantics/article |
Palavras-chave: Interpretation; Relationships; Models; Statistics. |
| Ano: 2014 |
URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162014000600012 |
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| CHABERT,STEREN; SCIFO,PAOLA. |
| Diffusion Magnetic Resonance Imaging provides images of unquestionable diagnostic value. It is commonly used in the assessment of stroke and in white matter fiber tracking, among other applications. The diffusion coefficient has been shown to depend on cell concentration, membrane permeability, and cell orientation in the case of white matter or muscle fiber tracking; yet a clear relation between diffusion measurements and known physiological parameters is not established. The aim of this paper is to review hypotheses and actual knowledge on diffusion signal origin to provide assistance in the interpretation of diffusion MR images. Focus will be set on brain images, as most common applications of diffusion MRI are found in neuroradiology. Diffusion signal... |
| Tipo: Journal article |
Palavras-chave: Diffusion; Magnetic Resonance Imaging; Interpretation; Non Gaussian. |
| Ano: 2007 |
URL: http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0716-97602007000500003 |
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