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  1. Artikel: COVID-19 and market risk: An assessment of the G-20 nations.

    Rout, Bhabani Sankar / Das, Nupur Moni / Inamdar, Mohd Merajuddin

    Journal of public affairs

    2020  Band 21, Heft 4, Seite(n) e2590

    Abstract: The study has attempted to study the impact of COVID-19 on downside stock market risk in the G-20 nations using Vaue-at-Risk models. The findings of the study suggest that all the G-20 nations have experienced very high level of risk during Global ... ...

    Abstract The study has attempted to study the impact of COVID-19 on downside stock market risk in the G-20 nations using Vaue-at-Risk models. The findings of the study suggest that all the G-20 nations have experienced very high level of risk during Global Financial Crisis and COVID-19 as all the countries' stock markets are critical during these two periods, but the magnitude of risk is found to be highest during COVID-19 period compared to other regimes in most of the countries. However, one shocking revelation is that China is found to be on safe zone having very less market risk, whereas all other countries are found to be critical.
    Sprache Englisch
    Erscheinungsdatum 2020-12-21
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 2080323-0
    ISSN 1479-1854 ; 1472-3891
    ISSN (online) 1479-1854
    ISSN 1472-3891
    DOI 10.1002/pa.2590
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: Protein Structure Prediction using Genetic Algorithm

    Subhendu Bhusan Rout / Satchidananda Dehury / Bhabani Sankar Prasad Mishra

    International Journal of Computer Science and Mobile Computing, Vol 2, Iss 6, Pp 187-

    2013  Band 192

    Abstract: Protein Structure Prediction is the process of prediction of the three dimensional structure of aprotein from its amino acid sequence. Proteins are large biological molecules which contain large amount ofamino acid sequence. The Bioinformatics industry ... ...

    Abstract Protein Structure Prediction is the process of prediction of the three dimensional structure of aprotein from its amino acid sequence. Proteins are large biological molecules which contain large amount ofamino acid sequence. The Bioinformatics industry is in the fledgling condition and gaining more attention ofresearchers. For the development of a new drug there need a high level of research with large amount of datafrom different cluster and locations. In the field of biology protein structure prediction plays a vital role forthe development a new drug. In recent years many techniques are being used for the protein structureprediction. There are many Soft Computing methods like Fuzzy Logic, Artificial neural network, Geneticalgorithms, Swarm optimization, etc are used for this purpose to distinguish, compare or process the variousstructure of protein. It is always a big task for researchers to develop new tools and methods for the purposeof processing of data as well as development of drugs. Protein Structure Prediction is the process ofprediction of the secondary, territory & quaternary structure of the protein from its amino acid sequence.Genetic Algorithm is a computational technique which creates the mimic of the process. In this paper wehave proposed a technique, which based on Genetic Algorithm technique for the prediction of proteinstructure. This technique will be helpful to work with huge amount of data and for the prediction of proteinstructure in a large scale. This technique can be adopted by the medicine researchers to develop variousdrugs after study and analyzing the changes of protein structure.
    Schlagwörter Protein Structure ; Bioinformatics ; Soft computing ; Artificial neural network ; Fuzzy logic ; Genetic Algorithm ; Swarm Optimization ; Electronic computers. Computer science ; QA75.5-76.95 ; Instruments and machines ; QA71-90 ; Mathematics ; QA1-939 ; Science ; Q ; DOAJ:Computer Science ; DOAJ:Technology and Engineering
    Thema/Rubrik (Code) 006
    Sprache Englisch
    Erscheinungsdatum 2013-06-01T00:00:00Z
    Verlag International Journal of Computer Science and Mobile Computing
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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