Muhammad Hanif

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At present no national level of cancer registry program exists in Pakistan and the data available from different sources, necessary for incidence, prevalence, morbidity/mortality, and etiological assessment of cancer and cancer control programs, are from hospital or institutional databases. Karachi Institute of Radiotherapy and Nuclear Medicine (KIRAN) is a(More)
Dictionary learning algorithms have received widespread acceptance when it comes to data analysis and signal representations problems. These algorithms alternate between two stages: the sparse coding stage and dictionary update stage. In all existing dictionary learning algorithms the use of sparsity has been limited to the sparse coding stage while(More)
In this paper some ratio estimators for single phase and two phase sampling has been proposed by using information on multiple auxiliary attributes. The proposed estimators are generalization of the estimator proposed by Naik and Gupta [4]. The shrinkage version of the proposed estimators has also been obtained by using the method given by Shahbaz and Hanif(More)
The problem of variance estimation in two phase sampling under non response was not considered in the literature. We have adapted the classes of variance estimators suggested by Srivastava and Jhajj (1980) into the two phase sampling under the strategy given by Hansen and Hurwitz (1946) for the problem of non-response. In this paper some more generalize(More)
The current study was designed to explore the platelet aggregation activity of methanolic extracts of green gram, lentil, mash bean and soya bean. The extracts dose-dependently inhibited platelet aggregation initiated by arachidonic acid (AA) and platelet activating factor (PAF). Extract of green gram was effective only against AA mediated activity while(More)
Thiomers are the polymers modified for the mucoadhesive properties and other additive properties by incorporating thiol moieties in the backbone of the unmodified polymeric chain by exchange reactions or simple oxidation reactions. Drug that are less soluble and permeable can be complexed with thiomers for their increased absorption through the mucosal(More)
Dictionary learning algorithms have received widespread acceptance when it comes to data analysis and signal representations problems. These algorithms consist of two stages: the sparse coding stage and dictionary update stage. This latter stage can be achieved sequentially or in parallel. In this work, the maximum likelihood approach is used to derive a(More)
Image restoration (deconvolution) is a basic step for image processing, analysis and computer vision. We addressed blurred image deconvolution problem using Expectation maximization (EM) based approach in the wavelet domain. The sparsity property of wavelet coefficients is modelled using the class of Gaussian Scale Mixture (GSM), which represents the(More)
The present study was undertaken to develop oral sustained release tablets of metoprolol tartrate using natural hydrophilic matrix formers (xanthan gum and tragacanth). Sustained release matrix tablets of metoprolol tartrate were prepared by using different ratios of drug, xanthan gum and tragacanth. Microcrystalline cellulose (MCC) was used as diluent. The(More)