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  1. Fulltext Corn cobs and sugar cane waste as a viscosivier in drilling fluid
    Ahmad Zakuan Ahmad Azmi, Mohd. Saaid, Irawan, Sonny
    Pertanika Journal of Science & Technology, 2009;17(1):-.
    MyJurnal
    The present project investigated the potential of utilizing corncobs and sugar cane waste as viscosivier in drilling fluid. For this purpose, the synthetic-based drilling fluid, Sarapar 147, was used as the base fluid. Both the materials were subjected to pre-treatment of drying, dehumidifying, grinding and sieving process prior to rheological tests. The rheological tests were conducted in accordance with the API 13B specifications to measure mud density, plastic viscosity, yield point, 10-second and 10-minute gel strength. The study found that plastic viscosity and yield point had a direct relationship with the amount of materials added. To drill fluid additive with corn cobs, the density, plastic viscosity and yield point were increased when the amount of additives were increased. Based on these experiments, both additives were found to have the potential to be used as additive in drilling fluid. In particular, they were able to improve its rheological properties by increasing the density, plastic viscosity and yield point. The suitable concentration for the corn cobs and sugar cane is 6.45 lb/bbl and 9.43 lb/bbl, respectively.
  2. Fulltext Age estimation from mandibles in Malay: A 2D geometric morphometric analysis
    Zulkifli NAF, Mohd Saaid NAS, Alias A, Mohamed Ibrahim N, Woon CK, Kurniawan A, et al.
    J Taibah Univ Med Sci, 2023 Dec;18(6):1435-1445.
    PMID: 38162871 DOI: 10.1016/j.jtumed.2023.05.020
    OBJECTIVES: In this study, the sizes and forms of mandibles in various age groups of the Malay population were measured and compared.

    METHODS: Geometric morphometric (GM) analysis of mandibles from 400 dental panoramic tomography (DPT) specimens was conducted. The MorphoJ program was used to perform generalized Procrustes analysis (GPA), Procrustes ANOVA, principal component analysis (PCA), discriminant function analysis (DFA), and canonical variate analysis (CVA). In the tpsDig2 program, the 27 landmarks were applied to the DPT radiographs. Variations in mandibular size and form were categorized into four age groups: group 1 (15-24 years), group 2 (25-34 years), group 3 (35-44 years), and group 4 (45-54 years).

    RESULTS: The diversity in mandibular shape among the first eight principal components was 81%. Procrustes ANOVA revealed significant shape differences (P 

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