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ہک بیت وچ چار ماہ

(ہک بیت وچ چار ماہ دا ذکر)

چڑھے چیتر اداسیاں آگیاں
وسوں گئی، وساکھ مرجھا گئیاں
جیٹھ جند مصیبتاں کھا گئیاں
ہاڑ، ہاڑے گھت کرلا گئیاں

ساون ساہ دا یار وساہ کی اے
بھادوں بھاہ لگی، کیہڑی، واہ کی اے

اسو آس دا پھل تباہ کی اے
کتیں کئی لٹے، عشق پھاہ کی اے

مگھر مار کے مینوں لتاڑیا ای
پوہ پاس کلیجہ ساڑیا ای
ماگھ ماہی دا ورقہ پاڑیا ای
پھگن پھاہی حنیف نوں چاہڑیا ای

Biological activity of Citrus paradisi peel

Citrus paradisi (Grapefruit) peel oil has medicinal properties which shows beneficial effects against plant pathogenic fungi Objective: The aim of this research was to investigate the antifungal potential of Citrus paradisi peel oil against different plant pathogenic fungal strainsMethods: The essential oil of Grapefruit peel was provided in different concentrations 0.25 to 0.75ml per 100 ml of media to 3 different plant pathogenic fungal strains i.e, Fusarium oxysporum, Fusarium solani and Dreschlera tetramera and its effect on the growth of fungi was recorded Results: The studies provided the results compared with the controlled media, which showed the fungal growth was almost completely inhibited at 0.75ml concentration of oil, even the lower concentration was sufficient to retard the growth Conclusions: The study provided the blue print for fungicidal spray to cure serious diseases in plants, such as, rice blast, papaya fruit rot, seedling collar rot and wilt diseases.

Evolving Trends in Independent Component Analysis With Application

The thesis is aimed to explore ICA to comprehend massive data fully. Financial time series’ data from KSE is used to compute ICs with JADE, SOBI, and FastICA algorithms and a deep insight of the series is targeted through study of the internal structure. Attempts from different directions are made to achieve the goal. Ordering of the ICs to define their priority in retention is addressed. A new regression based method is successfully introduced where regression coefficients obtained by regressing the original series on ICs are used. The magnitudes of the mixing coefficients are compared with regression coefficients for their compatibility to determine the order of the ICs. A novel approach, based upon comparing original and reconstructed series gauged through is proposed to decide how many ICs should be retained to reconstruct the series successfully. Identification of clusters is attempted to reduce the dimensionality in natural way. Two ICA based approaches namely adapted estimated mixing coefficients approach and ranked approach have been proposed and demonstrated. The first approach is based upon sum of squares of mixing coefficients whereas the second approach uses rank order of at predefined threshold levels. Internal and external structures of clusters are also explored through different metrics. Moreover, compatibility of the clusters is contrasted with the available grouping mechanisms. Keywords: Dimension Reduction; Financial Time Series; Ordering ICs; Reconstruction of Series; Regression; Clustering
Asian Research Index Whatsapp Chanel
Asian Research Index Whatsapp Chanel

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