IDENTIFYING BURIED SEGMENTS OF ACTIVE FAULTS IN THE NORTHERN RIO GRANDE RIFT USING AEROMAGNETIC, LIDAR, AND GRAVITY DATA, SOUTH-CENTRAL COLORADO, USA

Identifying Buried Segments of Active Faults in the Northern Rio Grande Rift Using Aeromagnetic, LiDAR, and Gravity Data, South-Central Colorado, USA

Combined interpretation of aeromagnetic and LiDAR data builds on the strength of the aeromagnetic method to locate normal faults with significant Internet Log Book offset under cover and the strength of LiDAR interpretation to identify the age and sense of motion of faults.Each data set helps resolve ambiguities in interpreting the other.In additio

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Artificial intelligence techniques for optimizing the efficiency in public works contracting selection processes

The present article proposes to design a model that provides a generic architecture which acts autonomously in public works Burrs contracting selection processes, in order to generate an automated decision criterion in the event of a tie.For the Simplified Tender selection process, in case of a tie, it is proposed to choose the bidder by means of a

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A new approach to chromosome-wide analysis of X-linked markers identifies new associations in Asian and European case-parent triads of orofacial clefts.

BackgroundGWAS discoveries on the X-chromosome are underrepresented in the literature primarily because the analytical tools that have been applied were originally designed for autosomal markers.Our objective here is to employ Blush a new robust and flexible tool for chromosome-wide analysis of X-linked markers in complex traits.Orofacial clefts ar

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