Modern Minimal Invasive Access Opening: Case Report

In summary, directed dentin and enamel conservation is the best and only proven method to buttress the endodontically treated molar. No man-made material or technique can compensate for tooth structure lost in key areas of the PCD. The primary purpose of the redesigned access is to avoid the fracturing potential of the endodontically treated molar. Current case report presents a case of an anterior tooth with conservative access opening according to clark and khadami. Central to our philosophy should be balance needs to be restored to these 3 needs, which are almost always in conflict when performing complete cusp-tip to root-tip treatment. Current case report presents a case of an anterior tooth with conservative access opening according to clark and khadami

Molecular similarity searching based on deep belief networks with different molecular descriptors

Molecular 2D similarity searching is one of the most widely used techniques for ligand-based virtual screening (LBVS). This study has used the concepts of deep learning by adapted deep belief networks (DBN) and data fusion concept with DBN to enhance the molecular similarity searching of chemical compounds in LBVS. The MDDR Datasets represented by different descriptors to convert the molecule shape to numerical values and each descriptor has different important features rather than the others. The DBN with data fusion is adapted to obtain a lower detection error probability and a higher reliability by using data from multiple distributed descriptors and analyzing the performance of combination and individual descriptors target by target and showed that the combination descriptor did better than both original descriptors. The overall results of this research showed that the use of DBN with data fusion in similarity-based is found to significantly outperform the conventional, industry-standard Tanimoto-based similarity search systems and some others benchmarks witch have been adapted by others researchers, with 1 % and 5% performance improvement in the average recall rates