A Comprehensive Review of Recent Automatic Speech Summarization and Keyword Identification Techniques

The Diversity of Cyanobacterial Toxins on Structural Characterization, Distribution and Identification: A Systematic Review

Toxins ◽

10.3390/toxins11090530 ◽

2019 ◽

Vol 11 (9) ◽

pp. 530 ◽

Cited By ~ 22

Author(s):

Xingde Du ◽

Haohao Liu ◽

Le Yuan ◽

Yueqin Wang ◽

Ya Ma ◽

...

Keyword(s):

Structural Characterization ◽

Cyclic Peptides ◽

Chemical Structure ◽

Developed Countries ◽

Valuable Resource ◽

Comprehensive Review ◽

Widespread Distribution ◽

Detection And Identification ◽

Detection Technology ◽

Identification Techniques

The widespread distribution of cyanobacteria in the aquatic environment is increasing the risk of water pollution caused by cyanotoxins, which poses a serious threat to human health. However, the structural characterization, distribution and identification techniques of cyanotoxins have not been comprehensively reviewed in previous studies. This paper aims to elaborate the existing information systematically on the diversity of cyanotoxins to identify valuable research avenues. According to the chemical structure, cyanotoxins are mainly classified into cyclic peptides, alkaloids, lipopeptides, nonprotein amino acids and lipoglycans. In terms of global distribution, the amount of cyanotoxins are unbalanced in different areas. The diversity of cyanotoxins is more obviously found in many developed countries than that in undeveloped countries. Moreover, the threat of cyanotoxins has promoted the development of identification and detection technology. Many emerging methods have been developed to detect cyanotoxins in the environment. This communication provides a comprehensive review of the diversity of cyanotoxins, and the detection and identification technology was discussed. This detailed information will be a valuable resource for identifying the various types of cyanotoxins which threaten the environment of different areas. The ability to accurately identify specific cyanotoxins is an obvious and essential aspect of cyanobacterial research.

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Parametric and Non-parametric Mathematical Modelling Techniques: A Practical Approach of an Electrical Machine Identification

Ecuadorian Science Journal ◽

10.46480/esj.5.1.86 ◽

2021 ◽

Vol 5 (1) ◽

pp. 30-36

Author(s):

Oscar Gonzales

Keyword(s):

Experimental Data ◽

Dynamic Systems ◽

State Of The Art ◽

Electrical Machine ◽

Comprehensive Review ◽

Mathematical Expressions ◽

Analysis Of Results ◽

Modelling Techniques ◽

Identification Techniques ◽

And Control

Mathematical modeling is an important feature concerning the analysis and control of dynamic systems. Also, system identification is an approach for building mathematical expressions from experimental data taken from processes performance. In this context, the contemporaneous state of the art describes several modelling and identification techniques which are excellent alternatives to determine systems behavior through time. This paper presents a comprehensive review of the main techniques for modeling and identification from a parametric and no parametric perspective. Experimental data are taken from an electrical machine that is a DC motor from a didactic platform. The paper concludes with the analysis of results taken from different identification procedures.

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