Abstract: Various embodiments pertain to techniques for predicting and isolating patterns or trends across datasets. In various embodiments, one or more Q-entities are extracted from a data seed, associated with one or more dimensions, and classified into one or more clusters for each dimension with which it is associated. In some embodiments, a Q-entity can exist in more than one dimension and/or more than one cluster within a dimension. Once information from the data seed is associated with a dimension and cluster, frequency analysis can be utilized to ascertain a pattern or trend in the data. In various embodiments, additional data can be processed, added to the dimensions and clusters, and frequency analysis can be performed on the updated dataset to provide additional information on the pattern or trend.

Abstract: A surgical staple device which accommodates various tissue thicknesses by employing unique modified surfaces with increased friction is disclosed. The staple device includes a U-shaped staple body with modified surfaces on its legs, whereas the modified surfaces may be designed as ratchet teeth, barbs, hooks, grooves, and channels. The staple device further includes a footplate to receive and engage the legs.