نتایج جستجو برای: extractive spectrophotometry

تعداد نتایج: 12437  

Journal: :Clinical chemistry 1978
A Castro J Ibanez J L DiCesare R F Adams H Malkus

Sera from patients being treated with phenytoin were analyzed for the drug by spectrophotometry, gas chromatography, radioimmunoassay, enzyme immunoassay, and liquid chromatography. The essay values obtained were intercompared statistically. Enzyme immunoassay and liquid chromatography appear to be attractive alternatives to the more traditional methods of spectrophotometry and gas chromatograp...

Journal: :Bulletin of the Japan Institute of Metals 1987

Journal: :Journal of Industrial & Engineering Chemistry 1909

2010
Kalpesh N Patel Jayvadan K. Patel Ganesh C. Rajput Naresh B. Rajgor

Various aspects of application of derivative spectrophotometry in chemical analysis and in investigations of equilibria and kinetics of reactions are scrutinized. The presented paper provides useful information about state-of-the-art and possibilities offered by derivative spectrophotometry in pharmaceutical, clinical or environmental fields of analysis.

Journal: :JASIST 2016
Catherine Finegan-Dollak Dragomir R. Radev

Sophisticated documents like legal cases and biomedical articles can contain unusually long sentences. Extractive summarizers can select such sentences— potentially adding hundreds of unnecessary words to the summary—or exclude them and lose important content. Sentence simplification or compression seems on the surface to be a promising solution. However, compression removes words before the se...

2013
Catherine Lai Jean Carletta Steve Renals

In this paper we investigate how participant involvement and turn-taking features relate to extractive summarization of meeting dialogues. In particular, we examine whether automatically derived measures of group level involvement, like participation equality and turn-taking freedom, can help detect where summarization relevant meeting segments will be. Results show that classification using tu...

Journal: :IJCLCLP 2015
Kai-Wun Shih Kuan-Yu Chen Shih-Hung Liu Hsin-Min Wang Berlin Chen

The rapidly increasing availability of multimedia associated with spoken documents on the Internet has prompted automatic spoken document summarization to be an important research subject. Thus far, the majority of existing work has focused on extractive spoken document summarization, which selects salient sentences from an original spoken document according to a target summarization ratio and ...

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