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    Kaidah-Kaidah untuk Menafsirkan Al-Quran

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    ุฅู† ู‚ูˆุงุนุฏ ุงู„ุชูุณูŠุฑ ู‡ูŠ ู…ู† ุงู„ุนู„ูˆู… ุงู„ู‡ุงู…ุฉ ุงู„ุชู‰ ู„ุง ุจุฏ ู„ุฏุงุฑุณู‰ ุงู„ู‚ุฑุขู† ุงู„ูƒุฑูŠู… ูˆู…ูุณุฑูŠ ุขูŠุงุชู‡ ุฃู† ูŠุชุนู„ู…ูˆู‡ุง ูˆูŠุทู„ุนูˆุง ุนู„ูŠู‡ุง ุฌูŠุฏุง ู‚ุจู„ ุชุฑุฌู…ุฉ ู…ุนุงู†ู‰ ุขูŠุงุช ุงู„ู‚ุฑุขู† ูˆุชูุณูŠุฑู‡ุง. ูู‚ูˆุงุนุฏ ุงู„ุชูุณูŠุฑ ูƒู…ุง ูŠุทู„ู‚ ุนู„ูŠู‡ุง ุนู„ู…ุงุก ุงู„ู‚ุฑุขู† ู‡ู‰ ุงู„ุฃุญูƒุงู… ุงู„ูƒู„ูŠุฉ ุงู„ุชูŠ ูŠุชูˆุตู„ ุจู‡ุง ุฅู„ู‰ ุฅุณุชู†ุจุงุท ู…ุนุงู†ู‰ ุงู„ู‚ุฑุขู† ุงู„ุนุธูŠู… ูˆู…ุนุฑูุฉ ูƒูŠููŠุฉ ุงู„ุฅุณุชูุงุฏุฉ ู…ู†ู‡ุง. ูู‡ุฐู‡ ุงู„ู‚ูˆุงุนุฏ ุชุฎุชู„ู ุนู† ุงู„ุชูุณูŠุฑ ู„ุฃู† ู‚ูˆุงุนุฏ ุงู„ุชูุณูŠุฑ ู‡ูŠ ุชู„ูƒ ุงู„ุถูˆุงุจุท ูˆุงู„ูƒู„ูŠุงุช ุงู„ุชู‰ ุชู„ุชุฒู… ูƒูŠ ูŠุชูˆุตู„ ุจูˆุงุณุทุชู‡ุง ุฅู„ู‰ ุงู„ู…ุนู†ู‰ ุงู„ู…ุฑุงุฏ. ุฃู…ุง ุงู„ุชูุณูŠุฑ ูู‡ูˆ ุฅูŠุถุงุญ ุงู„ู…ุนุงู†ู‰ ูˆุดุฑุญู‡ุง ุงู„ู…ุจู†ู‰ ุนู„ู‰ ุชู„ูƒ ุงู„ุฃุตูˆู„ ูˆุงู„ุถูˆุงุจุท ุงู„ู…ุณู…ุงุฉ ุจุงู„ู‚ูˆุงุนุฏ. ูู‚ูˆุงุนุฏ ุงู„ุชูุณูŠุฑ ู‡ูŠ ุซูˆุงุจุช ูˆู…ูˆุงุฒูŠู† ุชุถุจุท ุงู„ูู‡ู… ู„ูƒู„ุงู… ุงู„ู„ู‡ ุนุฒ ูˆุฌู„ ูˆุชู…ู†ุน ุงู„ู…ูุณุฑูŠู† ู…ู† ุงู„ุฎุทุฅ ูู‰ ุชูุณูŠุฑู‡ู…. ูู‡ู‰ ู…ุซู„ ุงู„ู†ุญูˆ ุจุงู„ู†ุณุจุฉ ู„ู„ู†ุทู‚ ุงู„ุนุฑุจู‰ ูˆุงู„ูƒุชุงุจุฉ ุงู„ุนุฑุจูŠุฉ ูˆู…ุซู„ ู‚ูˆุงุนุฏ ุงู„ูู‚ู‡ ู„ู„ูู‚ู‡. ูˆู‡ุฐุง ุงู„ุนู„ู… ู…ูˆุถูˆุนู‡ ู‡ูˆ ุชูุณูŠุฑ ุงู„ู‚ุฑุขู† ุงู„ูƒุฑูŠู… , ูˆุบุงูŠุชู‡ ูู‡ู… ู…ุนุงู†ู‰ ุงู„ู‚ุฑุขู† ูƒู‰ ุชู…ุชุซู„ ููŠุญุตู„ ุงู„ููˆุฒ ูู‰ ุงู„ุฏุงุฑูŠู†. ูˆุฃู…ุง ูุงุฆุฏุชู‡ ูู‡ู‰ ุชุญุตูŠู„ ุงู„ู…ู‚ุฏุฑุฉ ุนู„ู‰ ุฅุณุชู†ุจุงุท ู…ุนุงู†ู‰ ุงู„ู‚ุฑุขู† ูˆูู‡ู…ู‡ ุนู„ู‰ ุงู„ูˆุฌู‡ ุงู„ุตุญูŠุญ ูˆ ุถุจุท ุงู„ุชูุณูŠุฑ ุจู‚ูˆุงุนุฏู‡ ุงู„ุตุญูŠุญุฉ. ูุงู„ุนู„ู…ุงุก ูƒุงู†ูˆุง ูŠุณุชู…ุฏูˆู† ู‡ุฐู‡ ุงู„ู‚ูˆุงุนุฏ ู„ุชูุณูŠุฑ ุงู„ู‚ุฑุขู† ู…ู† ุงู„ู‚ุฑุขู† ุงู„ูƒุฑูŠู… ูˆุงู„ุฃุญุงุฏูŠุซ ุงู„ู†ุจูˆูŠุฉ ูˆุจุนุถ ู…ุง ุฃุซุฑ ู…ู† ุงู„ุตุญุงุจุฉ ุฑุถู‰ ุงู„ู„ู‡ ุนู†ู‡ู… ูˆ ุฃุตูˆู„ ุงู„ูู‚ู‡ ูˆุงู„ู„ุบุฉ ุงู„ุนุฑุจูŠุฉ ูˆ ุงู„ุจูŠุงู† ูˆ ุงู„ู†ุญูˆ ูˆ ุงู„ุชุตุฑูŠู ูˆ ูƒุชุจ ุนู„ูˆู… ุงู„ู‚ุฑุข

    Effects of deleting cannabinoid receptor-2 on mechanical and material properties of cortical and trabecular bone

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    Acknowledgements We thank Dr J.S. Gregory for assistance with Image J and Mr K. Mackenzie for assistance with Micro-CT analysis. Funding ABK was funded by a University of Aberdeen, Institute of Medical Sciences studentship and the Overseas Research Students Awards Scheme.Peer reviewedPublisher PD

    Mechanical and material properties of cortical and trabecular bone from cannabinoid receptor-1-null (Cnr1-/-) mice

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    Funding ABK was funded by a studentship from the University of Aberdeen, Institute of Medical Sciences, and the Overseas Research Students Awards Scheme Acknowledgments We are grateful to Dr J.S. Gregory for assistance with Image J and Mr K. Mackenzie for assistance with Micro-CT analysis.Peer reviewedPostprin

    Evaluation of wheat by polyacrylamide gel electrophoresis

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    In this study 15 wheat varieties namely Nacozari-76, Ouqab, Tatar-96, Bakhtawar-92, Yecura-70, Raj, Bakkar, Sulilman-96, Pirsabak-05, Maria, Khyber-87, Fakhr-e-Sarhad, Pirsabak-04, Inqulab-91 and Rawal-87 were evaluated for analysis of variability in seed storage proteins by using sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE). Electrophorogram for each variety were scored and presence or absence of each band noted and was entered in a binary data matrix. Based on the data of SDS-PAGE gels cluster analysis was performed to check the variations among varieties. The overall result shows low degree of heterogeneity however different varieties reveal differential protein banding pattern. It is concluded that SDS-PAGE analysis of wheat endosperm protein is useful for evaluation of genetic variability and cultivars identification that help in wheat breeding program

    Formulation of linguistic regression model based on natural words

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    When human experts express their ideas and thoughts, human words are basically employed in these expressions. That is, the experts with much professional experiences are capable of making assessment using their intuition and experiences. The measurements and interpretation of characteristics are taken with uncertainty, because most measured characteristics, analytical result, and field data can be interpreted only intuitively by experts. In such cases, judgments may be expressed using linguistic terms by experts. The difficulty in the direct measurement of certain characteristics makes the estimation of these characteristics imprecise. Such measurements may be dealt with the use of fuzzy set theory. As Professor L. A. Zadeh has placed the stress on the importance of the computation with words, fuzzy sets can take a central role in handling words [12, 13]. In this perspective fuzzy logic approach is offten thought as the main and only useful tool to deal with human words. In this paper we intend to present another approach to handle human words instead of fuzzy reasoning. That is, fuzzy regression analysis enables us treat the computation with words. In order to process linguistic variables, we define the vocabulary translation and vocabulary matching which convert linguistic expressions into membership functions on the interval [0รขโ‚ฌโ€œ1] on the basis of a linguistic dictionary, and vice versa. We employ fuzzy regression analysis in order to deal with the assessment process of experts from linguistic variables of features and characteristics of an objective into the linguistic expression of the total assessment. The presented process consists of four portions: (1) vocabulary translation, (2) estimation, (3) vocabulary matching and (4) dictionary. We employed fuzzy quantification theory type 2 for estimating the total assessment in terms of linguistic structural attributes which are obtained from an expert
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