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9 results for “M.S. Noor Azhar”

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Research ArticleOpen accessIn the author namesGrowth Performance, Biomass and Phytoextraction Efficiency of Acacia mangium and Melaleuca cajuputi in Remediating Heavy Metal Contaminated soilShibli Nik Mohd, Nik Muhamad Majid, Noor Azhar Mohamed Shazili, Arifin AbduHeavy metals are very toxic and soil contaminated with sewage sludge urgently need remediation in order to avoid related health hazards. Phytoremediation is a low cost and reliable technique to remediate heavy metal contamination. However phytoremediation using timber species was rarely reported and its efficiency was questionable. A field study was conducted to examine the efficiency of two timber species … …American Journal of Environmental Sciences, Vol. 9, Issue 4 · 28 Aug 2013 · 7,412 accessesView PDFCite
Research ArticleOpen accessIn the author namesAssessment of Melaleuca cajuputi as Heavy Metals Phytoremediator for Sewage Sludge Contaminated SoilShibli Nik Mohd, Nik Muhamad Majid, Noor Azhar Mohamed Shazili, Arifin AbduIn 2011, total marine capture landings in Peninsular Malaysia decreased by 3.9% which amounted to 1,373,105 tonnes as compared to 1,428,881 tonnes in 2010. The decline is connected to marine pollution which mainly comes from land based sources. Coastal forests play an important role affecting the marine ecosystem health and need to be conserved as a buffer to minimize pollution … …American Journal of Applied Sciences, Vol. 10, Issue 9 · 24 Aug 2013 · 7,470 accessesView PDFCite
Research ArticleOpen accessIn the author namesRobust Logistic Regression to Static Geometric Representation of RatiosAlireza Bahiraie, Noor Akma Ibrahim, A.K.M. Azhar, Ismail Bin MohdProblem statement: Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-salacity were solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. This new method would be a general methodological guideline associated with financial data and bankruptcy risk. Approach: We proposed the use of a new measure of risk, … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 8,222 accessesView PDFCite
Research ArticleOpen accessIn the author namesOn the Predictability of Risk Box Approach by Genetic Programming Method for Bankruptcy PredictionAlireza Bahiraie, Noor Akma bt Ibrahim, A. K.M. AzharProblem statement: Theoretical based data representation is an important tool for model selection and interpretations in bankruptcy analysis since the numerical representation are much less transparent. Some methodological problems concerning financial ratios such as non-proportionality, non-asymetricity, non-scalicity are solved in this study and we presented a complementary technique for empirical analysis of financial ratios and bankruptcy risk. Approach: This study … …American Journal of Applied Sciences, Vol. 6, Issue 9 · 30 Sep 2009 · 7,953 accessesView PDFCite
Research ArticleOpen accessIn the author namesSeasonal Distribution of Organic Carbon in the Surface Sediments of the Terengganu Nearshore Coastal AreaS. Hasrizal, B. Y. Kamaruzzaman, I. Sakri et al.Problem statement: The distribution of organic carbon in the surface sediment is a crucial indicator for current productivity in the ocean especially in the nearshore area. The difference of organic carbon in the surface sediment reflects the influence of current movement on the bottom sediment. Approach: This study was carried out to oversee the difference of organic carbon distribution during … …American Journal of Environmental Sciences, Vol. 5, Issue 1 · 28 Feb 2009 · 7,477 accessesView PDFCite
Research ArticleOpen accessIn the author namesGeochemistry of Sediment in the Major Estuarine Mangrove Forest of Terengganu Region, MalaysiaB.Y. Kamaruzzaman, M.C. Ong, M.S.Noor Azhar et al.Surface sediments collected from seven estuarine mangrove forests of Terengganu region (100 sampling points) were anaylzed for Pb, Cu and Zn using the sensitive Inductively Coupled Plasma Mass Spectrometer (ICP-MS). The average concentration of Pb, Cu and Zn were 10.5±7.12 µg g-1 dry weights, 31.1±16.5 µg g-1 dry weights and 20.8±13.3 µg g-1 dry weights, respectively. The statistical analysis of … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 7,323 accessesView PDFCite