In this work, we obtain and compare the control properties of thermally coupled reactive distillation sequences and thermally coupled extractive distillation sequences with those of conventional reactive and extractive distillation configurations. All sequences have been designed using a multiobjective genetic algorithm with restrictions. The theoretical control properties of those schemes were...

The active parts of 11 medicinal plants were analyzed for physico-chemical evaluation, phytochemical determination and antioxidant activity. The physico-chemical evaluation revealed that highest water soluble extractive was from Origanum vulgare (38%), highest chloroform extractive was from Psoralea corylifolia (21%); highest ethanolic extractive was that of Acorus calamus (11%) and the highest...

The objective of this study was to evaluate different pretreatment methods prior to oxygen delignification on extractives removal and O-delignification selectivity. Four different pretreatment methods were used including ultrasonic treatment, hot water soaking, soda addition-preheating, and applying a high-shear mechanical pretretament. Acacia mangium and mixed hardwood (MHW) kraft pulps were u...

In this paper we examine the application of an unsupervised extractive summarisation algorithm, TextRank, on a different task, the identification of argumentative components. Our main motivation is to examine whether there is any potential overlap between extractive summarisation and argument mining, and whether approaches used in summarisation (which typically model a document as a whole) can ...

The effectiveness of an extractive distillation process relies on the choice of the extractive solvent. The conventional methodology to select solvents is based on Group Contribution Methods. Ionic liquids have shown several advantages over conventional solvents used in extractive distillation and liquid-liquid extraction processes. However, there is no existing methodology to select ILs as sol...

We present a hybrid method to generate summaries of product and services reviews by combining natural language generation and salient sentence selection techniques. Our system, STARLET-H, receives as input textual reviews with associated rated topics, and produces as output a natural language document summarizing the opinions expressed in the reviews. STARLET-H operates as a hybrid abstractive/...

Most previous studies on meeting summarization have focused on extractive summarization. In this paper, we investigate if we can apply sentence compression to extractive summaries to generate abstractive summaries. We use different compression algorithms, including integer linear programming with an additional step of filler phrase detection, a noisychannel approach using Markovization formulat...

We present SummaRuNNer, a Recurrent Neural Network (RNN) based sequence model for extractive summarization of documents and show that it achieves performance better than or comparable to state-of-the-art. Our model has the additional advantage of being very interpretable, since it allows visualization of its predictions broken up by abstract features such as information content, salience and no...

The macroscopic character of the leaflets ash values extractive values by different solvent extractive behavior on treatment with different chemical reagents fluorescence characters by treatment with different chemical reagents of the powdered leaves of Maoringa oleifera lam (fam moringaceae) were studied to fix some pharmacognostical parameters, chemical group test of different extracts of the...