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In the present study, ANN models have been developed to predict the discharge coefficients of oblique sharp-crested weirs for free and submerged flow cases using Borghei et al.'s experimental data. The discharge coefficients predicted by ANN models are then used to predict the discharges. The results so obtained are compared with the traditional regression model analysis performed by Borghei et al. (2003) in which the prediction error in the discharge was found within the range of ±5%. On the other hand, the developed ANN models predict the discharge coefficients as well as discharges within the error range of ±1%. Furthermore, sensitivity analysis of developed ANN models have been carried out for all the parameters (weir height, oblique weir length, head over weir and downstream head over weir) involved in the study and it was found that the weir length (L) is the most and weir height (P) is the least sensitive input variable to ANN-1 model. In the case of ANN-2 model, weir length (L) is the most and downstream head over weir (H d) is the least sensitive input variable.

This study intends to raise awareness about the issues related to child labor in the formal and informal industry in Bangladesh. Child labor is now a global concern and as such involved devotion of people in various sectors. It tries to present the socioeconomic scenario of child labor in Bangladesh which has in recent times attracted concerted attention not only in Bangladesh but also all over the world. Child labor problem is a socioeconomic reality in the country which can't be ignored. Hereafter steps have to be taken at first to decrease child labor gradually rather removing it completely from the society. This study also focuses on the trend, impact and legislation of child labor in Bangladesh and this study is also an attempt to search out the ways by which child labor can be decreased gradually and at the end of the article these ways have been presented as recommendations.

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