مولانا محمد ابراہیم بلیاوی
ابھی مولانا شاہ وصی اﷲ صاحبؒ کا غم تازہ تھا کہ ایک اور بزرگ ہستی کا سایہ اٹھ گیا، رمضان المبارک کے آخری عشرہ میں مولانا محمد ابراہیم صاحب بلیاوی صدر مدرس دارالعلوم دیوبند نے وفات پائی مرحوم اس دور کے نامور عالم دین اور صاحب تقویٰ بزرگ تھے تقریباً نصف صدی تک دینی علوم کے درس کی خدمت انجام دی اور ان کے چشمۂ فیض سے ہزاروں تشنگان علم سیراب ہوئے، ان کی وفات سے علم و عمل، درس و تدریس اور تدین و تقویٰ کی ایک بڑی یادگار مٹ گئی اﷲ تعالیٰ ان کے مدارج بلند فرمائے۔
(شاہ معین الدین ندوی، جنوری ۱۹۶۸ء)
Child labor has been considered the most troubling & one of the greatest problems of great concern in the modern world, since it has not only negative effects on the child himself, but also on his family & society in general. However, it is a reality that can commonly & frequently be observed in the emerging & backward nations now a day where expropriated & evicted people take their young ones to workplaces to compete with their livelihoods. This article seeks to highlight the status of child labor & its solution in the light of Qur᾽an & Sunnah as many experts and platforms have offered their own solution. The study population consisted of scholars &the teachers/A᾽ema Kerām of religious institutions (Madrasah) of the Khyber Pakhtunkhwa Bannu, while its sample included 30 scholars & teachers/A᾽ema of different Madrasah in the Bannu District. The researcher has adopted content & methodologies of the interview from the respondents to explore this issue in detail. This study has the sole objective of: to find out solution of the Child Labour in the light of Holy Qur᾽an & Sunnah. This article summarizes the conclusion that holy religion of Muslims(Islam) strictly prohibit child labour, although allows child labour in some special cases, such as light work & character building activities which is
Raman spectroscopy proved itself a non-destructive technique which is being used extensively for the characterization of biomedical media for disease diagnosis. It is based on the inelastic scattering of light. It provides the information about the vibrational modes of a molecule. A Raman spectrum of a biological media contains the molecular fingerprints which are the intrinsic characteristics of molecules. This information can be utilized to train various statistical models that as a result become a powerful tool for the characterization, diagnosis and discrimination in a variety of ways. In this thesis, the outcomes of three studies based on the Raman spectra of body fluids have been presented. First of all, a study was conducted to choose an optimal substrate to be used for acquisition of Raman spectra of body fluids. Aluminum was selected as the most suitable substrate for recording Raman spectra of human blood and sera samples. In first study, blood samples of healthy and breast cancer (BRC) female subjects were used to analyse the molecular variations caused by BRC. Partial least squares (PLS) regression based model was developed, which highlighted the bio-molecular variations found between both groups. Among these molecules lycopene, phosphatidylserine, qunoid ring, calcium oxalate and calcium hydroxyapatite were found positively correlated while tryptophan, proline, valine, glycogen and tyrosine were negatively correlated with BRC. In second study, human blood sera samples were analysed for the molecular variations due the presence of antigen at an early stage of dengue virus (DENV) infection. It was found that level of cytokines and DNA rises, while the level of proteins with alpha and beta conformations along with lectins lowers in the sera due to DENV infection at an early stage. In third study, human blood sera samples were analysed for the screening of hepatitis C infection. Hepatitis C infected sera were tested for the presence of antibodies by ELISA. Analysis of regression coefficients revealed that trehalose, chitin, ammonia and cytokines are positively correlated with the hepatitis C while lipids, beta structures of proteins and carbohydrate binding proteins like MBL are negatively correlated with hepatitis C.