IntroductionThere is very limited literature describing the association of lateral condyle mass (LCM) fracture of the distal humerus associated concurrently with olecranon fracture. Herein, a case is reported of a displaced LCM fracture with displaced olecranon fracture, due to complex trauma while getting out of a vehicle, which was managed by open reduction and internal fixation.Case PresentationA 4.5- year- old boy suffered severe pain and swelling around his right elbow due to trauma which he suffered while trying to get out of a vehicle which was in motion. Plain radiographs of the anteroposterior, lateral, and oblique views showed a displaced lateral mass fracture associated with a displaced olecranon fracture. Open reduction and internal fixation was carried out and near normal function was achieved.ConclusionsIn view of the paucity of literature and rare incidence of this injury, this case report highlights the need to be aware of other injuries which can occur in association with LCM fractures in children.

No abstract

Garg and Kumar (Scientia Iranica, 2017, https://doi.org/ 10.24200/SCI.2017.4454) proposed some new correlation coefficient between intuitionistic fuzzy sets (IFSs). To point out the advantages of their proposed correlation coefficient over the existing correlation coefficient, Garg and Kumar applied their proposed correlation coefficient as well as the existing correlation coefficient to identify a suitable classifier for an unknown pattern, represented by an intuitionistic fuzzy set (IFS), from the known patterns, each represented by IFS. Garg and Kumar suggested that the existing correlation coefficient fails to identify a suitable classifier, whereas, the correlation coefficient, proposed by them, does not fail to identify a suitable classifier. So, it is appropriate to use the correlation coefficient, proposed by them, instead of the existing correlation coefficient. In this note, it is shown that the correlation coefficient, proposed by Garg and Kumar, also fails to identify a suitable classifier. Furthermore, it is shown that more computational efforts are required to apply the correlation coefficient, proposed by Garg and Kumar, as compared to the existing correlation coefficient. In the actual case, it is inappropriate to apply the correlation coefficient for identifying a suitable classifier. A note on "A novel correlation coefficient of intuitionistic fuzzy sets based on the connection number of set pair analysis and its application"

No abstract

No abstract