The act of identifying several occurrences of a given phenomenon in the wild is known as duplicate detection. It is challenging for modern duplicate detection methods to maintain the quality of datasets when they deal with datasets that get larger and shrink more quickly. In this study, we describe two cutting-edge strategies for efficiently locating duplicates, even under time constraints. These algorithms boost productivity since they can do most tasks considerably more quickly than traditional methods. Extensive testing has demonstrated that our new methods are superior to previous methods that aim to improve upon the effectiveness of classic duplication detection by a factor of three over time.

This study focuses on the synthesis and comprehensive characterization of macrocyclic complexes derived from the reaction between thiourea and adipic acid, referred to as TA complexes.