Left paraduodenal hernia: an autopsy case

We present a case of a left paraduodenal hernia diagnosed at autopsy. A left paraduodenal hernia is an internal hernia of congenital origin due to the abnormal rotation of the midgut during embryonic development. Internal hernias are a rare cause of intestinal obstruction, with the paraduodenal being the most frequent. The clinical course can be asymptomatic, cause chronic or intermittent abdominal pain, or present with acute abdomen. The clinical entity is a diagnostic challenge, which is illustrated in the present case where there patient died during hospital admission. The case also emphasizes the difficulty in diagnosing the disease by plain abdominal radiography.     

Knowledge management technology in law firms: stages of growth

A law firm can be understood as a social community specializing in the speed and efficiency of creating and transferring legal knowledge. Knowledge management was first introduced to law firms in order to help them create, share and apply knowledge more effectively: information technology (IT) might well play an important role in the success of such knowledge management initiatives. In this paper, IT support for knowledge management is linked to stages of growth, with a stages‐of‐growth model proposed that consists of four stages. The first stage addresses the end‐user tools made available to knowledge workers (people to technology), while the second involves information about who knows what (people to people). The third stage concerns the information held by knowledge workers (people to documents), with information systems actually solving knowledge problems constituting the fourth and final stage (people to systems). Stages‐of‐growth models have been widely used in both organizational research and IT management research: such models have also been criticized for their lack of empirical validity. This paper develops such a survey instrument in order to test a knowledge management technology stage model empirically.     

A clustering algorithm using DNA marker information for sub-pedigree reconstruction

In a mass disaster scenario in which many people are dead, it may be that small family groups are among the dead, and investigators may need to identify such groups, e.g., to return bodies to living relatives for burial. We consider the problem of identifying small groups of closely related people within a large group of people through the use of DNA marker information. We propose a likelihood-ratio-based distance measure of the relatedness between pairs of individuals and use an estimate of this measure as a means of clustering related people into groups. We show the effectiveness of our approach on real examples and through simulations, which suggest that the method is quite reliable for identifying very close relationships. We discuss the use of our clustering algorithm in a two-stage pedigree reconstruction procedure and suggest directions in which the analysis could be extended. Applications include the identification of family groups among bodies found in mass graves and identification of family groups in animal populations.