Revisiting the DBM-Tree

DBM-Tree: A Dynamic Metric Access Method Sensitive to Local Density Data

Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the query performance minimizing the number of disk accesses, keeping a constant height of the structures stored on disks (height-balanced trees). The Slim-tree and the M-tree are the most efficient dynamic MAM so far. However...

تأثیر ماتریکس استخوان دمینرالیزه‌ گاو بر ترمیم نقایص استخوان پاریتال خرگوش

Background and Aims: The present study was designed for evaluation of bovine demineralized bone matrix (DBM) in healing process of bone defects and comparison of bovine DBM (xenograft) and human DBM (allograft) which is used clinically. Materials and Methods: Seven male white New Zealand rabbits were used in this study. The incision was made directly over the midsagital suture of the parietal b...

Revisiting the Curtis Procedure for Boutonniere Deformity Correction

Revisiting Quotes from Educational Perspective: An Inquiry into the Multifarious Applications of Grand Quotes in English Language Pedagogy

Revisiting R-Tree Construction Principles

Spatial indexing is a well researched field that benefited computer science with many outstanding results. Our effort in this paper can be seen as revisiting some outstanding contributions to spatial indexing, questioning some paradigms, and designing an access method with globally improved performance characteristics. In particular, we argue that dynamic R-tree construction is a typical cluste...