Qualification of Ambient Methods as Reference Methods

2009 ◽  
pp. 69-69-11 ◽  
Author(s):  
JB Clements
Keyword(s):  
Reference Methods

scholarly journals Comparative evaluation ofTrichosporon asahiisusceptibility using ASTY colorimetric microdilution and CLSI M27-A2 broth microdilution reference methods

2008 ◽  
Vol 52 (9) ◽  
pp. 435-439 ◽  
Author(s):  
Ayse Kalkanci ◽  
Nanthawan Mekha ◽  
Natteewan Poonwan ◽  
Koichi Makimura ◽  
Takashi Sugita
Keyword(s):  
Comparative Evaluation ◽  
Broth Microdilution ◽  
Reference Methods

scholarly journals Simultaneous determination of iron and copper in children's sera by FAAS

2011 ◽  
Vol 61 (1) ◽  
pp. 93-102 ◽  
Author(s):  
Svjetlana Luterotti ◽  
Tončica Kordić ◽  
Slavica Dodig
Keyword(s):  
Atomic Absorption ◽  
Simultaneous Determination ◽  
Sample Pretreatment ◽  
Single Step ◽  
Design Experiment ◽  
New Approach ◽  
Flame Atomic Absorption ◽  
Reference Methods ◽  
Atomic Absorption Spectrometric

Simultaneous determination of iron and copper in children's sera by FAASA new and simple flame atomic-absorption spectrometric (FAAS) method is proposed for simultaneous determination of iron and copper in children's sera. It is based on single-step sample pretreatment (deproteinization with 3 mol L-1HCl, ratio 1:1) and single-step calibration using 1.5 mol L-1HCl standard. During method's optimization a short multifactorial design experiment was used. The proposed method assures accuracy, sensitivity and precision comparable to that of the reference methods. The new approach is simple and time-, labour- and serum-saving, the latter being especially important in pediatric diagnostics.

A Quantum-Inspired Genetic Algorithm for Extractive Text Summarization

2021 ◽  
Vol 10 (2) ◽  
pp. 42-60
Author(s):  
Khadidja Chettah ◽  
Amer Draa
Keyword(s):  
Genetic Algorithm ◽  
State Of The Art ◽  
Text Summarization ◽  
Automated System ◽  
Evaluation Metrics ◽  
Document Summarization ◽  
Automatic Text Summarization ◽  
Reference Methods ◽  
Textual Data ◽  
Automatic Text

Automatic text summarization has recently become a key instrument for reducing the huge quantity of textual data. In this paper, the authors propose a quantum-inspired genetic algorithm (QGA) for extractive single-document summarization. The QGA is used inside a totally automated system as an optimizer to search for the best combination of sentences to be put in the final summary. The presented approach is compared with 11 reference methods including supervised and unsupervised summarization techniques. They have evaluated the performances of the proposed approach on the DUC 2001 and DUC 2002 datasets using the ROUGE-1 and ROUGE-2 evaluation metrics. The obtained results show that the proposal can compete with other state-of-the-art methods. It is ranked first out of 12, outperforming all other algorithms.

Development of a RIA for clonidine and its comparison with the reference methods

1981 ◽  
Vol 6 (4) ◽  
pp. 295-307 ◽  
Author(s):  
D. Arndts ◽  
H. Stähle ◽  
H.-J. Förster
Keyword(s):  
Reference Methods

Cefditoren in vitro activity and spectrum: a review of international studies using reference methods

2001 ◽  
Vol 41 (1-2) ◽  
pp. 1-14 ◽  
Author(s):  
Ronald N. Jones ◽  
Michael A. Pfaller ◽  
Michael R. Jacobs ◽  
Peter C. Appelbaum ◽  
Peter C. Fuchs
Keyword(s):  
Vitro Activity ◽  
International Studies ◽  
In Vitro Activity ◽  
Reference Methods
Sign in / Sign up

Export Citation Format

Share Document