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  1. Manakandan SK, Rosnah I, Mohd Ridhuan J, Priya R
    Med J Malaysia, 2017 08;72(4):228-235.
    PMID: 28889134 MyJurnal
    BACKGROUND: The most crucial step in forming a set of survey questionnaire is deciding the appropriate items in a construct. Retaining irrelevant items and removing important items will certainly mislead the direction of a particular study. This article demonstrates Fuzzy Delphi method as one of the scientific analysis technique to consolidate consensus agreement within a panel of experts pertaining to each item's appropriateness. This method reduces the ambiguity, diversity, and discrepancy of the opinions among the experts hence enhances the quality of the selected items. The main purpose of this study was to obtain experts' consensus on the suitability of the preselected items on the questionnaire.

    METHODS: The panel consists of sixteen experts from the Occupational and Environmental Health Unit of Ministry of Health, Vector-borne Disease Control Unit of Ministry of Health and Occupational and Safety Health Unit of both public and private universities. A set of questionnaires related to noise and chemical exposure were compiled based on the literature search. There was a total of six constructs with 60 items in which three constructs for knowledge, attitude, and practice of noise exposure and three constructs for knowledge, attitude, and practice of chemical exposure. The validation process replicated recent Fuzzy Delphi method that using a concept of Triangular Fuzzy Numbers and Defuzzification process.

    RESULTS: A 100% response rate was obtained from all the sixteen experts with an average Likert scoring of four to five. Post FDM analysis, the first prerequisite was fulfilled with a threshold value (d) ≤ 0.2, hence all the six constructs were accepted. For the second prerequisite, three items (21%) from noise-attitude construct and four items (40%) from chemical-practice construct had expert consensus lesser than 75%, which giving rise to about 12% from the total items in the questionnaire. The third prerequisite was used to rank the items within the constructs by calculating the average fuzzy numbers. The seven items which did not fulfill the second prerequisite similarly had lower ranks during the analysis, therefore those items were discarded from the final draft.

    CONCLUSION: Post FDM analysis, the experts' consensus on the suitability of the pre-selected items on the questionnaire set were obtained, hence it is now ready for further construct validation process.

  2. Priya R, Sneha P, Rivera Madrid R, Doss CGP, Singh P, Siva R
    J Cell Biochem, 2017 09;118(9):2712-2721.
    PMID: 28145590 DOI: 10.1002/jcb.25919
    Carotenoid cleavage dioxygenase (CCD) gene, ubiquitously found in numerous types of plants, are eminent in synthesizing the various volatile compounds (β-ionone, C13-norisoprenoid, geranylacetone) known as apocarotenoids. These apocarotenoids have various biological functions such as volatile signals, allelopathic interaction and plant defense. In Arabidopsis genome sequence, four potential CCD genes have been identified namely CCD1, CCD4, CCD7, and CCD8. These four genes give rise to diverse biological functions with almost similar sequence identity. In this investigation, an in silico analysis was proposed to study CCD proteins in Arabidopsis thaliana, aiming at constructing three-dimensional (3D) structure for CCD1 proteins of Bixa orellana and Crocus sativus to observe the structural difference among AtCCD (A. thaliana CCD) proteins. The quality of modeled structures was evaluated using RAMPAGE, PSVS protein validation server and Q Mean server. Finally, we utilised molecular dynamics simulation to identify the stability of the predicted CCD protein structures. The molecular dynamic simulation also revealed that AtCCD4 protein showed lesser stability when compared to other CCD proteins. Overall results from molecular dynamics analysis predicted that BoCCD1, CsCCD1, and AtCCD1 show similar structural characteristics. J. Cell. Biochem. 118: 2712-2721, 2017. © 2017 Wiley Periodicals, Inc.
  3. Priya R, Sneha P, Rivera Madrid R, Doss CGP, Singh P, Siva R
    J Cell Biochem, 2017 Sep;118(9):i.
    PMID: 28704593 DOI: 10.1002/jcb.25708
    Cover: The cover image, by R. Priya et al., is based on the Article Molecular Modeling and Dynamic Simulation of Arabidopsis Thaliana Carotenoid Cleavage Dioxygenase Gene: A Comparison with Bixa orellana and Crocus Sativus, DOI: 10.1002/jcb.25919.
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