The current trend in treating dental caries is using nondestructive risk-based caries management strategies rather than focusing on the restorative treatment alone. Currently, there have been many changes in understanding of the multifaceted nature of caries process and its management. Caries Management by Risk Assessment (CAMBRA) which is an evidence-based approach focuses on determining many factors causing the expression of disease and take corrective action. The clinicians can ascertain what behaviors are increasing a patient's risk for disease and disease progression by evaluating the current caries risk of a patient. With this modern CAMBRA protocol, a novel treatment plan can be designed to arrest dental caries thereby decreasing the chance of cavitation. After the recognition of the multi factorial nature of caries involving the biofilm, the contemporary approaches focused mainly on the various options to cope with the locally out-of-balance oral biofilm and stop the progression of the disease. The initial caries lesions can be diagnosed with modern diagnostic aids and with the help of CAMBRA, reestablishment of the integrity of the tooth surface early on in the caries process will bring great rewards for patients. This review focuses on the repair of hard tooth tissues using noninvasive strategies.
Stock market price forecasting is one of the challenging tasks due to the difficulty in predicting the non-linear and non-stationary time series data. In this paper a Fuzzy Metagraph (FM) based stock market decision making, classification and prediction are proposed for short term investors of Indian stock market. Simple Moving Average (SMA), Exponential Moving Average (EMA), Moving Average Convergence Divergence (MACD) and Relative Strength Index (RSI) are some of the Technical Indicators which are used as input to train the system which is integrated with Fuzzy Metagraph. This approach of incorporating FM with SMA, MACD and RSI would be a new attempt in classification and prediction on share market investment. Stocks listed in Bombay Stock Exchange (BSE) in India are used to evaluate the performance of the system. The results obtained from the proposed FM based model are found to be satisfactory with very low risk error.
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