Speculative multithreading (SpMT) is a thread-level automatic parallelization technique that can accelerate sequential programs, especially for irregular applications that are hard to be parallelized by conventional approaches. Thread partition plays a critical role in SpMT. Conventional machine learning-based thread partition approaches applied machine learning to offline guide partition, but ...

In delay tolerant network (DTN), an end-to-end path is not guaranteed and packets are delivered from a source node to a destination node via store-carry-forward based routing. In DTN, a source node or an intermediate node stores packets in buffer and carries them while it moves around. These packets are forwarded to other nodes based on predefined criteria and finally are delivered to a destina...

A Delay Tolerant Network (DTN) relies on the implicit assumption that nodes cooperate towards message forwarding. However, this assumption cannot be satisfied when there are malicious nodes acting as blackholes and voluntarily attracting and dropping messages. In this paper we propose a reputation-based protocol for contrasting blackholes. Every node locallymaintains the reputation of forwardin...

One of the most crucial texts for the futurist interpretation of prophecy concerning Israel is the vision of the prophet Ezekiel in chapters 40-48. In this text the prophet presents God’s instructions for the construction of a new Temple to be built as part of the promise of Israel’s divine restoration. The concern of the exiles, as exemplified by Daniel’s prayer, was for a literal rebuilding o...

The Islamic teachings encourage Muslims to seek treatment when they fall sick. The Prophet (pbuh) said “Seek treatment, because Allah did not send down a sickness but has sent down a medication for it—known to those who know it and not known to others—except for death.”6 In terms of treatment options, Muslim patients resort to modern medicine, spiritual healing, and traditional healing practice...

Knowledge extraction from unstructured data is a challenging research problem in research domain of Natural Language Processing (NLP). It requires complex NLP tasks like entity extraction and Information Extraction (IE), but one of the most challenging tasks is to extract all the required entities of data in the form of structured format so that data analysis can be applied. Our focus is to exp...

The proteomic profiles from two distinct ovarian endometrioid tumor-derived cell lines, (MDAH-2774 and TOV-112D) each with different morphological characteristics and genetic mutations, have been studied. Characterization of the differential global protein expression between these two cell lines has important implications for the understanding of the pathogenesis of ovarian endometrioid carcino...