This paper examines the concept of reform in terms of religious, political and social
aspects in PB Shelley’s literary works. Selections from Shelley’s poetry, prose, essay
and drama are reconsidered to show the concept of reform in his works. This paper
seeks to unravel Shelley’s skeptic revolutionary thoughts that were always
misunderstood by the critics of his time. Shelley as a poet perpetuated his life as a
reformer, yet his concept of reform was neglected and often downplayed because of
his idealistic view of the world. However, the significance of Shelley's concept of reform
merits, more reverence, or, at least, more critical consideration than any of the Great
Romantics.
Vacuum membrane distillation (VMD) has attracted increasing interest for various applications besides seawater desalination. Experimental testing of membrane technologies such as VMD on a pilot or large scale can be laborious and costly. Machine learning techniques can be a valuable tool for predicting membrane performance on such scales. In this work, a novel hybrid model was developed based on incorporating a spotted hyena optimizer (SHO) with support vector machine (SVR) to predict the flux pressure in VMD. The SVR-SHO hybrid model was validated with experimental data and benchmarked against other machine learning tools such as artificial neural networks (ANNs), classical SVR, and multiple linear regression (MLR). The results show that the SVR-SHO predicted flux pressure with high accuracy with a correlation coefficient (R) of 0.94. However, other models showed a lower prediction accuracy than SVR-SHO with R-values ranging from 0.801 to 0.902. Global sensitivity analysis was applied to interpret the obtained result, revealing that feed temperature was the most influential operating parameter on flux, with a relative importance score of 52.71 compared to 17.69, 17.16, and 14.44 for feed flowrate, vacuum pressure intensity, and feed concentration, respectively.