Abstract: A plain bearing includes an outer sliding-surface element and an inner sliding-surface element enclosed by the outer sliding-surface element. The outer sliding-surface element is divided along a substantially flat surface that includes the main axis of the sliding bearing and has, at least at one axial end, a radially encircling groove. A ring configured to fixedly hold together the divided outer sliding-surface element is inserted in the groove.

Abstract: A plain bearing includes an outer sliding surface element and an inner sliding surface element enclosed by the outer sliding surface element. The outer sliding surface element is divided along a substantially planar surface that includes the main axis of the sliding bearing and is formed with at least one radially encircling groove on the outer surface. A rubber-elastic or elastomeric is inserted in the at least one groove such that the ring holds together or retains the divided outer sliding surface element.

Abstract: A methodology infers latent or unobserved structure in relational datasets, and is used to analyze user behaviors and patterns. The data for user behaviors and patterns can be gathered from off-line activity or interactions, such as, but not limited to, retail statistics, statistical research, scientific analysis, off-line interaction between, for example, customers or users. And the analysis can be applied to, but not limited to, the analysis of credit card data, club card data, telephone data, research data, financial market data, insurance data, warehouse data, travel data, traffic data, health care system data, public administration and authorities data, logistics data, education based data, as well as behavioral pattern data.