this paper presents a new approach for assessing agricultural landscapes based on mixturemethods and the study and definition of aesthetic attributes as lines, forms, texture, spatial composition, scaleand color as they are the closest to human perceptual aesthetic attributes. a set of variables capable ofquantifying those attributes in a simple, objective and systematized way will be proposed....

titanium (ti) is one of the most widely used biomaterials for manufacturing dental implants. the implant surface properties strongly influence osseointegration. the aim of the present study was to in vitro investigate the characteristics of ti dental implants in terms of mutagenicity, hemocompatibility, biocompatibility, osteoinductivity and biological safety. the ames test was used to test the...

A common task in data analysis is to compare two or more sets of data, statistics, presentations, etc. A predominant method in use is side-by-side visual comparison of images. While straightforward, it burdens the user with the task of discerning the diierences between the two images. The user is further taxed when the images are of 3D scenes. This paper presents several methods for analyzing t...

in seismic exploration studies different types of techniques are used to recognize seismic features in terms of their temporal and spatial spectra. variations in frequency content are sensitive to subtle changes in reflection information (castro de matos et al., 2003). in this study the joint time-frequency analysis is used for seismic texture recognition. discrete wavelet transform (dwt) witho...

Metastructures and metaterms have been proposed to extend Prolog systems 6, 5]. They enable special purpose uniications to be speciied. They are useful to implement for example coroutining and new domains of computation. In both cases, information is attached to variables, which then are encoded with metaterms or metastructures. This information must be taken into account during uniication. Pro...

Background: In this paper, a generic hesitant fuzzy set (HFS) model for clustering various ECG beats according to weights of attributes is proposed. A comprehensive review of the electrocardiogram signal classification and segmentation methodologies indicates that algorithms which are able to effectively handle the nonstationary and uncertainty of the signals should be used for ECG analysis. Ex...