نتایج جستجو برای: mineral potential mapping
تعداد نتایج: 1307004 فیلتر نتایج به سال:
In GIS-based data-driven modeling of mineral prospectivity, a suitably fine unit cell size is used for spatial representation of known occurrences of mineral deposits of the type sought (D) in a study area (T). However, until now, the unit cell size is chosen subjectively. In this paper, a methodology is proposed for objective selection of the most suitable unit cell size for data-driven modeli...
introduction: the main goal of this ex vivo study was to assess and compare the cellular and electrophysiological effects of two dental biomaterials, white mineral trioxide aggregate (wmta) and calcium enriched mixture (cem) cement, on neuronal cell excitability and electrical properties. materials and methods: a conventional intracellular current clamp technique was used to study the cellular ...
in new management approaches, in the organizations with inflexible structure, existing of red tapes and interruptions caused by limitations and also non-compliance with environmental changes, create demotivation among staff. with regard to the influence of job motivational potential and its relationship to the type of organizational structure( enabling and dissuasive), the goal of this research...
There is potential for Raman spectroscopy (RS) to complement tools for bone diagnosis due to its ability to assess compositional and organizational characteristics of both collagen and mineral. To aid this potential, the present study assessed specificity of RS peaks to the composition of bone, a birefringent material, for different degrees of instrument polarization. Specifically, relative cha...
The existence of diagnostic features in the visible and infrared regions makes it possible to use reflectance spectra not only identify mineral assemblages but also for calibration classification satellite images, considering lithological and/or mapping. For this purpose, a consistent spectral library with target minerals rocks is needed. Currently, there big market pressure raw materials inclu...
This paper focuses on researching the scientific problem of deep extraction and inference favorable geological geochemical information about mineralization at depth, based which a mineral resources prediction model is established machine learning approaches are used to carry out quantitative prediction. The main contents include: (i) discussing method 3D anomaly under multi-fractal content-volu...
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