Active Knowledge Extraction from Cyclic Voltammetry

Cyclic Voltammetry

Cyclic Voltammetry of Auranofin

The oxidative behavior of Auranofin, 2,3,4,6-tetra-O-acetyl-1-thio-beta-D-glucopyranosato- S(triethylphosphine)gold(I), was investigated by using cyclic voltammetry (CV) in 0.1 M Bu(4)NPF(6)/CH(2)Cl(2) and 0.1 M Bu(4)NPF(4)/CH(2)Cl(2) solutions using Pt working and auxiliary electrodes and a Ag/AgCI reference. CV studies at scan rates from 50-2,000 mV/s and Auranofin concentrations between 1 an...

Cyclic Voltammetry Investigation of the Mechanism of CuInSe2 and CuIn(Al)Se2 Electrodeposition from Aqueous Solution

Electrodeposition of CuInSe2 (CIS) and CuInAlSe2 (CIAS) from aqueous solution has been systematically investigated by cyclic voltammetery implementing different scan rates. It has been shown that electrodeposited CIS and CIAS have been formed on the substrate through electrochemical-chemical interaction of reduces species on the substrate.  From the obtained results, it could be inferred that I...

Knowledge extraction from webpages

This article presents a system to extract Knowledge from webpages by producing semantic annotations. taking into account semantic information from the domain to annotate an element in a webpage implies solving two problems : (1) identifying the syntactic structure of this element in the webpage and (2) identifying the most specific concept (in terms of subsumption) of the ontology that will be ...

Knowledge Extraction from the Neural ‘Black Box’ in Ecological Monitoring

Phytoplankton biomass within the Saginaw Bay ecosystem (Lake Huron, Michigan, USA) was characterized as a function of select physical/chemical indicators. The complexity and variability of ecological systems typically make it difficult to model the influences of anthropogenic stressors and/or natural disturbances. Here, Artificial Neural Networks (ANNs) were developed to model chlorophyll a con...