Results 231 to 240 of about 1,353,067 (263)
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2015
Data is spatial if it contains references to space. We can easily detect explicit references, for example coordinates, but we cannot detect whether data implicitly contains references to space, and whether it has properties of spatial data, if additional semantic information is missing.
Franz-Benjamin Mocnik, Andrew U. Frank
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Data is spatial if it contains references to space. We can easily detect explicit references, for example coordinates, but we cannot detect whether data implicitly contains references to space, and whether it has properties of spatial data, if additional semantic information is missing.
Franz-Benjamin Mocnik, Andrew U. Frank
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Acta Horticulturae, 2005
Structural modelling of muscle was performed on images of tissue sections. The samples were cut from foetuses of bovine semitendinosus muscles. Histological sections of muscle were imaged in order to extract the germ point from myotubes. A program, based on Voronoi tessellation method, was developed to use the germ points to generate networks ...
Abou El Karam, Saïd +4 more
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Structural modelling of muscle was performed on images of tissue sections. The samples were cut from foetuses of bovine semitendinosus muscles. Histological sections of muscle were imaged in order to extract the germ point from myotubes. A program, based on Voronoi tessellation method, was developed to use the germ points to generate networks ...
Abou El Karam, Saïd +4 more
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2010
The tertiary structure of proteins can reveal information that is hard to detect in a linear sequence. Knowing the tertiary structure is valuable when generating hypothesis and interpreting data. Unfortunately, the gap between the number of known protein sequences and their associated structures is widening.
Malmström L, Goodlett DR
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The tertiary structure of proteins can reveal information that is hard to detect in a linear sequence. Knowing the tertiary structure is valuable when generating hypothesis and interpreting data. Unfortunately, the gap between the number of known protein sequences and their associated structures is widening.
Malmström L, Goodlett DR
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2018
A family of statistical techniques that has risen in popularity in conjunction with the availability of computing power and software is that of structural equation modelling (SEM). This chapter will provide an introduction to the basic principles of SEM analysis by constructing and fitting an example model.
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A family of statistical techniques that has risen in popularity in conjunction with the availability of computing power and software is that of structural equation modelling (SEM). This chapter will provide an introduction to the basic principles of SEM analysis by constructing and fitting an example model.
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Review of structural models for the compositional interpretation of metallic glasses
International Materials Reviews, 2020Chuang Dong +2 more
exaly