This paper presents a cluster priority ranking based approach for extractive automatic text summarization that aggregates different cluster ranks for final sentence scoring. This approach does not require any learning, feature weighting and semantic processing. Surface level features combinations are used for individual cluster scoring. Proposed approach produces quality summaries without using...

background: among the non-communicable diseases, diabetes mellitus has an important ranking and with annually increasing rate where it is expected the number of people suffering from the disease will reach to 300 million up to 2025 in all of world. the prevalence of type 2 diabetes in iran is 4-4.5% and in population aged above 30 years is greater than 14%. the present study is attempting to fi...

An invited report on national occupational health research priorities, agenda and strategy of Japan was delivered in the NORA (National Occupational Research Agenda) Symposium 2001, USA. The third NORA Symposium was held by the US National Institute for Occupational Safety and Health (NIOSH) in Washington DC on June 27, 2001. The national conference in Japan entitled "Conference on Occupational...

Extensive decision-making during the vaccine preparation period is unpredictable. An account of severity disease, younger people with COVID-19 comorbidities and other chronic diseases are also at a higher risk pandemic. In this research article, preference ranking structure for recommended young who have been exposed to effects certain diseases. Multiple Criteria Decision-Making (MCDM) approach...

The prospect of offshoring and outsourcing business processes has captured the imagination of CEOs everywhere. In the past five years, a rising number of companies in North America and Europe have experimented with this strategy, hoping to reduce costs and gain strategic advantage. But many businesses have had mixed results. According to several studies, half the organizations that have shifted...

This paper presents the framework of a stochastic decision-support system for life cycle asset maintenance management of building elements and systems. This system is based on a probabilistic modeling of the performance and risk of failure of building components. The maintenance optimization is formulated as a multi-stage and multiobjective optimization problem where the simultaneous satisfacti...

Analysis of ranking data is often required in various fields of study, for example politics, market research and psychology. Over the years, many statistical models for ranking data have been developed. Among them, distance-based ranking models postulate that the probability of observing a ranking of items depends on the distance between the observed ranking and a modal ranking. The closer to t...

The problem of ranking (rank regression) has become popular in the machine learning community. This theory relates to problems, in which one has to predict (guess) the order between objects on the basis of vectors describing their observed features. In many ranking algorithms a convex loss function is used instead of the 0−1 loss. It makes these procedures computationally efficient. Hence, conv...

Recent advances in wireless and mobile communications infrastructure are enabling governments to deliver and manage services to citizen efficiently and economically. Mobile government provides this ability to governments. This paper presents the ggovernance approach in effective development of mobile government. The objective is reviews(identify and ranking) of public service concept (Included:...