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...

Two rapid, simple and sensitive extractive specrophotometric methods has been developed for the assay of Hyoscine butyle bromide (HBB), losartan potassium (LSR) and Sertaline HCl (SER) in bulk and in their pharmaceutical formulations. The proposed methods depend upon the reaction of cobalt(II)–thiocyanate (method A) and molybdenum(V)–thiocyanate ions (method B) with the cited drugs to form stab...

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...

In this paper, we put forward UIDS, a new high-performing extensible framework for extractive MultiLingual Document Summarization. Our approach looks on a document in a multilingual corpus as an item sequence set, in which each sentence is an item sequence and each item is the minimal semantic unit. Then we formalize the extractive summary as summary diversity sampling problem that considers to...

Determining the content of transuranium elements, Americium (Am), Plutonium (Pu), Neptunium (Np), and Curium (Cm) in the nuclear fuel cycle and in nuclear radioactive waste is important for both economic and human toxicity reasons. The major concern is processing the sample rapidly and quantitating these transuranium alpha emitters in the presence of 10 fold excess of beta emitting contaminants...

Existing sentence regression methods for extractive summarization usually model sentence importance and redundancy in two separate processes. They first evaluate the importance f(s) of each sentence s and then select sentences to generate a summary based on both the importance scores and redundancy among sentences. In this paper, we propose to model importance and redundancy simultaneously by d...

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...

Detecting and quantitating alpha emitting radionuclides are routine tasks in nuclear energy and environmental monitoring. For this purpose, liquid scintillation counting (LSC) is an excellent method because alphas are counted with nearly 100% counting efficiency with low backgrounds, even with severe quenching. Quenching agents such as inorganic acids, organic acids, and extractive scintillator...

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...

The total flavonoid content (TFC), total polyphenols content (TPC), and in vitro antioxidant activity (AA) of six Bidens pilosa L., Asteraceae, populations harvested from different localities were evaluated in this work. The plants were separated in roots, stems, and leaves/flowers, and the influence of extraction methods was investigated. A reversed-phase high-performance liquid chromatography...