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SpringerMaterials at materials.springer.com is a comprehensive database for identifying materials properties and covers data from materials science, physics, physical and inorganic chemistry, engineering and other related fields.
The basic particle techniques were found to have strong and weak areas of predictive ability, on the basis of a comparison with data from materials with known mode of flow capability.
The mean width of the resulting scratch over 6 points was then measured under 200× optical magnification and compared to similar data from materials of known Mohs hardness ( aluminium, steel, copper, glass and quartz) and Mohs hardness values of the deposited films were calculated.
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This limitation typifies too many data visualizations, pushing you away from a closer reading of the subject, forever disconnecting "data" from material, demanding a "distant reading" unrelatable to both actual reading and almost all critical practice.
Typically, the relationships between measured data and interesting properties or class memberships of the materials cannot be described by theory but require empirical models, that have to be derived from data originating from materials with known measurements and properties.
In this paper, for converging of medical information, we collected important clinical materials related to AMI, extracted semantic data from individual materials, and defined one data record based on their associative relations.
Data from several materials with large tensile growth stresses are in reasonable agreement with the model.
Building upon classical methods, illustrations for modeling bimodal behavior are developed from data from diverse materials used in various applications.
Furthermore, the amount of paleomagnetic data from archeological materials and lavas decreases greatly prior to 2 ka (see Brown et al. 2015; Donadini et al. 2009).
Furthermore, the experimental results include data from various materials (copper, aluminum, silver, and gold) as well as a data over a wide range of thicknesses; therefore, the general applicability of the theoretical model is also established.
The LS-SVM regression model obtained as described above is a new, highly accurate, and economical method for predicting the weathering levels of stone relics based on experimental spectral data from weathered materials.
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