ABSTRACT The digital data stored in the cloud requires much space due to copy of the same data.It can be reduced by dedupilcation, eliminating the copy of the repeated data in the cloud provided services.Identifying common checkoff data both files storing them only once.Deduplication can yield cost savings by increasing the utility of a given amoun
Threshold values of sagittal abdominal diameter for the detection of cardio-metabolic risk factors in Northeastern Mexico: a cross-sectional study
Background: The use of sagittal abdominal diameter (SAD) has been proposed for screening cardio-metabolic risk factors; however, its accuracy can be influenced by the choice of thresholds values.Aim: discount greenery To determine the SAD threshold values for cardio-metabolic risk factors in Mexican adults; to assess whether parallel and serial SAD
Knowledge Embedding Relation Network for Small Data Defect Detection
In industrial vision, the lack of defect samples is one of the key constraints of depth vision quality inspection.This paper mainly studies defect detection under a small training set, trying to reduce the dependence of the model on defect samples by using normal samples.Therefore, we propose a Knowledge-Embedding Relational Network.We propose a Kn
A modified technique of using digital technology to fabricate surgical obturator in patients with limited mouth opening
This article presents a digital technique for the fabrication of an immediate surgical obturator for a patient with click here decreased mouth opening planned for maxillectomy.The amalgamation of pre-operative Cone Beam Computed Tomography (CBCT) data and 3D printing allowed for the fabrication of the immediate surgical obturator without convention