Imaging of subsurface lineaments in the southwestern part of the Thrace Basin from gravity data

Linear anomalies, as an indicator of the structural features of some geological bodies, are very important for the interpretation of gravity and magnetic data. In this study, an image processing technique known as the Hough transform (HT) algorithm is described for determining invisible boundaries and extensions in gravity anomaly maps. The Hough function implements the Hough transform used to extract straight lines or circles within two-dimensional potential field images. It is defined as image and Hough space. In the Hough domain, this function transforms each nonzero point in the parameter domain to a sinusoid. In the image space, each point in the Hough space is transformed to a straight line or circle. Lineaments are depicted from these straight lines which are transformed in the image domain. An application of the Hough transform to the Bouguer anomaly map of the southwestern part of the Thrace Basin, NW Turkey, shows the effectiveness of the proposed approach. Based on geological data and gravity data, the structural features in the southwestern part of the Thrace Basin are investigated by applying the proposed approach and the Blakely and Simpson method. Lineaments identified by these approaches are generally in good accordance with previously-mapped surface faults

The strategic organization of the entrepreneurial established firm

The entrepreneurship field predominantly focuses on start-ups, opportunity discovery and single individual. These overall characteristics mean that the field has difficulties conceptualizing and theorizing the entrepreneurial activities of established firms. In particular, the links between organizational designs, the various entrepreneurial activities of organizational members and firm-level entrepreneurial entrepreneurial outcomes are not well-understood. We sketch a research program for understanding the strategic organization of the entrepreneurial established firms