Object oriented software with low cohesive classes can increase maintenance cost. Low cohesive classes are likely to be introduced into the software during initial design due to deviation from design principles and during evolution due to software deterioration. Low cohesive class performs operations that should be done by two or more classes. The low cohesive classes need to be identified and ...

The cohesive element approach is proposed as a tool for simulating delamination propagation between a facesheet and a core in a honeycomb core composite panel. To determine the critical energy release rate (Gc) of the cohesive model, Double Cantilever Beam (DCB) fracture tests were performed. The peak strength (σc) of the cohesive model was determined from Flatwise Tension (FWT) tests. The DCB ...

This study, ‘A Lexico-Semantic Analysis of Helon Habila’s Oil on Water’ examines how meaning is negotiated through the use some cohesive devices in text. Previous studies have concentrated treatment environmental issues without much attention paid to are coalesced text produce meaning. Data for analysis range from page one hundred primary text, Water. Also, study focused a qualitative research ...

We investigated the shear strain field ahead of a supershear rupture. The strain array data along the sliding fault surfaces were obtained during the large-scale biaxial friction experiments at the National Research Institute for Earth Science and Disaster Resilience. These friction experiments were done using a pair of meter-scale metagabbro rock specimens whose simulated fault area was 1.5 m ...

The complete nucleotide sequence (5793 bp) of the cosmid vector pTL5 and the origin of its genetic components has been determined. Cosmid pTL5, a derivative of cosmid vector pHC79, is composed of genetic components from pBR322, bacteriophage lambda and the hybrid lambdoid bacteriophage Charon (Ch) 4A cohesive ends (cos) region. The Ch4A cos region contains genetic components from two bacterioph...

Cohesive subgroups have always represented an important construct for sociologists who study individuals and organizations. In this article, I apply recent advances in the statistical modell ing of social network data to the task of identifying cohesive subgroups from social network data. Further, through simulated data, I describe a process for obtaining the probability that a given sample of ...

In some applications, such as bioinformatics, social network analysis, and computational criminology, it is desirable to find compact clusters formed by a (very) small portion of objects in a large data set. Since such clusters are comprised of a small number of objects, they are extraordinary and anomalous with respect to the entire data set. This specific type of clustering task cannot be sol...