Background: India achieved the goal of ‘leprosy elimination’ by reducing the burden of leprosy to less than one case per 10,000 inhabitants in 2005. Sustained and committed efforts by national programmes have led to a decline in the burden of leprosy to a great extent. Purpose: To examine the spatial clustering of leprosy case detection and spatiotemporal trend using Bayesian space period model...

Background: The twelve step program is one of the programs that are administered for overcoming abuse of drugs. In this study, the effectiveness of chemical dependency counseling course was investigated using a hybrid model. Methods: In a survey with sample size of 243, participants were selected using stratified random sampling method. A questionnaire was used for collecting data and one sampl...

The goal of this study is to introduce and observe analysis by reduction of dependency trees. We focus on formalization of certain minimalistic properties of analysis by reduction of dependency trees, and its complexity issues.

With the relentless growth in software, automated support for visualizing and navigating software artifacts is no longer a luxury. As packaged software components and middleware occupy more and more of the software landscape, interoperability relationships point to increasingly relevant software change impacts. Packaged software now represents over thirty-two percent of the software portfolio i...

Dependency analysis techniques used for parllelizing compilers can be used to produce coarse grained code for distributed memory systems such as a cluster of workstations. Nested for-loops provide opportunities for this coarse grained parallelization. This paper describes current dependency analysis tests that can be used to identify ways for transforming sequential C code into parallel C code....

Cascading failures of Critical Infrastructures (CIs) can be modeled through Dependency Risk Graphs, in order to assess the expected risk of CI dependency chains. In this paper we extend our previous dependency risk analysis methodology towards risk management. We explore the relation between dependency risk paths and graph centrality measures, in order to identify nodes that significantly affec...

Recently, an axiomatization for functional dependencies (FDs) and multivalued dependencies (MVDs) has been established where arbitrary attributes can be specified as NOT NULL. That is, the information stored over such attributes must not be incomplete. The axiomatization subsumes previous axiomatizations of FDs and MVDs where every attribute is declared to be NOT NULL, and where no attribute is...

In syntactic analysis of a long sentence, it is difficult to determine the dependency among clauses. To handle such syntactic ambiguity among clauses, this paper proposes a machine learning-based determination method of clause-dependency. We extract various features from clauses, and experiment using SVM machine learning algorithm. Our experimental results showed that the proposed SVM-based met...

We present “CDG LAB”, a toolkit for development of dependency grammars and treebanks. It uses the Categorial Dependency Grammars (CDG) as a formal model of dependency grammars. CDG are very expressive. They generate unlimited dependency structures, are analyzed in polynomial time and are conservatively extendable by regular type expressions without loss of parsing efficiency. Due to these featu...