Bioinformatics has been an emerging area of research for the last three decades. The ultimate aims of bioinformatics were to store and manage the biological data, and develop and analyze computational tools to enhance their understanding. The size of data accumulated under various sequencing projects is increasing exponentially, which presents difficulties for the experimental methods. To reduce the gap between newly sequenced protein and proteins with known functions, many computational techniques involving classification and clustering algorithms were proposed in the past. The classification of protein sequences into existing superfamilies is helpful in predicting the structure and function of large amount of newly discovered proteins. The existing classification results are unsatisfactory due to a huge size of features obtained through various feature encoding methods. In this work, a statistical metric-based feature selection technique has been proposed in order to reduce the size of the extracted feature vector. The proposed method of protein classification shows significant improvement in terms of performance measure metrics: accuracy, sensitivity, specificity, recall, F-measure, and so forth.
Most democratic countries hold inquiries into disasters. One of their key functions is to establish the cause of an event and to learn lessons in order to prevent a recurrence. In addition, they offer an opportunity for communal catharsis, permitting the public to vent anger, distress and frustration and to exert pressure for policy changes. Malaysia has experienced six landmark socio-technical disasters since 1968, which resulted in the proposal or amendment of various safety/emergency acts and regulations. The authors used a grounded theory approach utilising a constant comparative method to analyse the recommendations made by the inquiries into these events. Data indicate that social and technical recommendations comprise 85 and 15 per cent, respectively, of the total recommendations made by the inquiry committees. This paper offers suggestions for improving the management of inquiry tribunals, as they will remain a valuable source of information for society and corporations to learn from past incidents.