Artificial intelligence (AI) is the data-driven disruptive technology of modern times. AI is reforming every field from space science to dentistry. Bio-medical provides various advantages over conventional diagnosis, treatment planning, patient documentation and management. Every field is implementing AI for the ease of both doctors and patients. In this present work, the review was done for the implementation of AI in prosthodontics. Prosthetic dentistry or prosthodontics is one of the branches of dentistry, mainly deals with replacement and rehabilitation of missing teeth with the help of fixed and removable prosthesis or with biocompatible substitutes like implants. In addition, it also helps to restore proper soft and hard tissues of the mouth, thereby improving the overall health status of the oral cavity. The following review highlighted the present-day technology of AI in dental prosthetics and its efficacy in diagnosing and constructing more patient-specific prosthesis. In conclusion, it is seen that AI is twin fold technology having both applications and limitations in dentistry.
India, a land of marvels, is outstanding in many aspects, its culture, ecosystem, etc. Sadly, it also ranks among the top countries in the world to have an annual suicide rate. This project aims at the foundation of human emotion surveillance. This system assists in the facial recognition, feature extraction and the threshold detection of stress for emotions expressed through face using the viola-jones algorithms and weak classifiers. This focuses basically on segregation of positive and negative emotions, detecting stress based on a usual threshold value and possibly providing an alternate means to let loose the extra stress built up if possible.
Magnesium alloys have many characteristics like good castability, high strength to-weight ratio and good amenability. The ZE41 magnesium alloy consists of zirconium (Zr), zinc (Zn) and rare earth elements. Magnesium alloys have many application in aerospace, automotive industries and biomedical implants. Microstructure is shown for ZE41 magnesium alloy Wear rates are measured for ZE41 magnesium alloy using pin-on-disk experiment setup. Rate of wear and coefficient of friction is measured for 10N-20N range at sliding velocity of 0.5 m/s with constant sliding distance of 300 meters. It is observed that load is not affecting coefficient of friction significantly but there is decrement in the value of CoF when load is increased from 10N to 15N. Wear behaviour in initial condition is different but it is converging to general which means more the load more will be the wear. Wear mechanism is abrasion for low loads then slightly changes to delamination.
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