This clinical report describes the successful use of lip repositioning technique for the reduction of excessive gingival display. The lip repositioning technique was performed with the main objective of reducing gummy smile by limiting the retraction of elevator muscles (e.g., zygomaticus minor, levator anguli, orbicularis oris, and levator labii superioris). This technique includes removing a strip of mucosa from the maxillary buccal vestibule, creating a partial-thickness flap between mucogingival junction and upper lip musculature, and suturing the lip mucosa with mucogingival junction, resulting in a narrow vestibule and restricted muscle pull, thereby reducing gingival display.

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We describe a real-time 2D motion tracking method based on speckle analysis. We implemented this method in real-time using graphic s processing unit (GPU). The capability to track both axial and lateral motions will enable more comprehensive characterization of tissue mechanical properties including Poisson's ratio.

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Motor accidents across the globe amount to a large number of deaths every year. The collisions result in not just the personal injury to people involved but also in the loss of money to the motor insurance companies, trauma to the people involved, and added pressure on the emergency services. With the help of data analytics techniques, this project aims to identify critical factors that might contribute to the accidents. Upon investigating the temporal features and geo-spatial features of the motor accident locations, we tried to establish a correlation between the accident intensity and its key factors. For this exploratory analysis, we also considered weather conditions and daily average traffic flow data. We then trained Supervised learning models on the data to find out the best performing multi-label classification model.