The use of eight-plates in the proximal tibia for deformity correction and limb-length equalization causes a change in the bony morphology of the tibial plateau in a significant number of patients and the effect is more pronounced in the correction of LLD. Cite this article: Bone Joint J 2018;100-B:1112-16.

The results of surgery for Dupuytren's disease were prospectively assessed to see if there is a correlation between hand function, the degree of deformity and the post-operative result. A total of 42 patients were followed-up for 6 months. The mean flexion deformity was 81 degrees pre-operatively and 32 degrees post-operatively. The mean Sollerman score improved from 71 (out of 80) pre-operatively to 77 post-operatively. There was a significant correlation between the degree of deformity and the Sollerman score, and also between the improvement in deformity after surgery, and the Sollerman score. We conclude that hand function is worsened by increasing deformity in Dupuytren's disease and improved by correction of the deformity.

COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international trade and movements. Wearing a face mask to protect one's face has become the new normal. In the near future, many public service providers will expect the clients to wear masks appropriately to partake of their services. Therefore, face mask detection has become a critical duty to aid worldwide civilization. This paper provides a simple way to achieve this objective utilising some fundamental Machine Learning tools as TensorFlow, Keras, OpenCV and Scikit-Learn. The suggested technique successfully recognises the face in the image or video and then determines whether or not it has a mask on it. As a surveillance job performer, it can also recognise a face together with a mask in motion as well as in a video. The technique attains excellent accuracy. We investigate optimal parameter values for the Convolutional Neural Network model (CNN) in order to identify the existence of masks accurately without generating over-fitting.

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