تحفظ حقوقِ نسواں ایکٹ کا شرعی و قانونی نقطہ نظر سے تجزیاتی مطالعہ

Islam is a complete code of life and provides the rights to every class of the human beings. Women rights is a kind of such basic rights which were not bothered in the world but Islam provided it to this gender in its ancient age. So many enactments have been made in Pakistan at federal and provincial level. “Punjab Protection of Women Against Violence Act 2016” will be main study of this research article in which. This act was passed rapidly without any detailed discussion on it, so is the reason that it bears so may deficiencies in it. Implementation of this act will surely cause to create the internal problems in family life and will destroy the family system of the era. Some provisions of this act are repugnant to Islamic teachings as well as to ethical norms which make the husband helpless, notorious and such sinful and criminal person who has no right of honor and respect in the society and this will become a permanent document of dishonor which will affect his person as well as his whole family. These main points of this Act will be analyzed in sharia perspective in this research paper.

Robust Algorithm for Genome Sequence Short Read Error Correction Using Hadoop-Mapreduce

Biological sequences consist of A C G and T in a DNA structure and contain vital information of living organisms. The development of computing technologies, especially NGS technologies have increased genomic data at a rapid rate. The increase in genomic data presents significant research challenges in bioinformatics, such as sequence alignment, short-reads error correction, phylogenetic inference, etc. Next-generation high-throughput sequencing technologies have opened new and thought-provoking research opportunities. In particular, Next-generation sequencers produce a massive amount of short-reads data in a single run. However, these large amounts of short-reads data produced are highly susceptible to errors, as compared to shotgun sequencing. Therefore, there is a peremptory demand to design fast and more accurate statistical and computational tools to analyze these data. This research presents a novel and robust algorithm called HaShRECA for genome sequence short reads error correction. The developed algorithm is based on a probabilistic model that analyzes the potential errors in reads and utilizes the Hadoop-MapReduce framework to speed up the computation processes. Experimental results show that HaShRECA is more accurate, as well as time and space efficient as compared to previous algorithms.