خلافت اور جمہوریت نتائج و عواقب عصر حاضر کے تناظر میں

Islām is a complete code of life. Man is the vicegerent and representative of Allāh. The role of vicegerent and caliphate can only be fulfilled in a complete manner, when the system of the Islamic Caliphate is established. It is the duty of Muslims to endeavor for establishing such a system in the world. The caliphate is the political title of Islām. It is, actually, the sovereignty of Almighty God on the earth. God creates its sovereignty by selecting the pious people from the humankind. With the help of Caliphate, unity, strength and equality can be established in the Muslim world. Democracy is the system of government, which is based on the wishes of the majority of the people of a state. However, the real democracy is the one in which wishes of people are directly or indirectly catered. An ideal democracy is the one in which all affairs of the country are run with the consultation of all the people. If the affairs of any state are run by the majority of the people, then that state will move towards its destruction. Allāh says, “O Muhammad.. ! If you obey most of the dwellers of the earth they will lead you astray from Allah’s way. ” The affairs of the Islamic state must not run by the wishes of the majority nor the minority of the people, but, on the values of truth and justice. The author of this paper presents a critical and comparative study of the Islamic Caliphate and democracy, and concludes that it is the Caliphate and not democracy, which is the true Islamic system of government.

Hadoop-Based Algorithm for Inference of Phylogenetic Trees Using Maximum Likelihood Method

Biological sequences consist of A C G and T in a DNA structure and contain vital information of living organisms. This information is used in many applications such as drug design, microarray analysis and phylogenetic trees. Advances in computing technologies, specifically Next Generation Sequencing 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 read error correction, phylogenetic inference etc. Various tools and algorithms have been proposed for phylogenetic inference. Early algorithms used sequential programs to solve the problem of phylogenetic inference. Improvements were gained in terms of tree accuracy and execution time, however; the programs were still slow, and improvements were needed to infer correct phylogeny in short times. This challenge introduced parallel and distributed processing to the field of bioinformatics. Many tools and programs have been developed based on parallel and distributed computing. This thesis presents algorithmic solutions for phylogenetic inference. Solutions include ‘PhyloDoop’ and ‘SeqCompress’ algorithms. PhyloDoop algorithm is used for inference of phylogenetic trees. The algorithm is based on Maximum Likelihood method, implemented on Hadoop Map/Reduce framework. PhyloDoop is based on clusters i.e. divides the input alignment to clusters, builds trees for each cluster, merges and optimizes all sub-trees and the final tree is also optimized. PhyloDoop is compared to well-known algorithms both on real and simulated datasets. Experiments on real datasets were performed to test likelihood values, execution time, and speedup in distributed environment. The results show better accuracy as compared to other algorithms on most of the datasets. Execution time is also short on most datasets. The proposed algorithm yields better speed up on large datasets. Simulated datasets were used to measure topological accuracy. PhyloDoop is topologically accurate on most datasets with short execution time in comparison to other algorithms. SeqCompress is used to compress DNA sequences in order to reduce memory requirements and execution time. Impressive results are shown in comparison to other algorithms. These results show a gap for efficient usage of compression techniques to infer correct phylogeny with low memory requirements as well as execution time.