HMLH1 gene mutation in gastric cancer patients and their kindred

AIM: To study the status of hMLH1 gene point mutations of gastric cancer kindreds and gastric cancer patients from northern China, and to find out gene mutation status in the population susceptible to gastric cancer.

Nuove intersezioni: crimine e storia nella narrativa Italiana al cambio di millennio

My research investigates a recent tendency in Italian literature, characterized by elements of renewal within the novel-writing tradition and of discontinuity with postmodern culture. It proposes an interpretation of the genres of the historical novel and crime fiction in the last fifteen years, in order to underline the important role played by these types of narrative in revitalizing contemporary Italian literature. These modalities of writing are considered both individually and in their connections beyond a traditional notion of genre, emphasizing those characteristics which may be assumed as irreconcilable with a postmodern approach to fiction and those which, furthermore, seem to indicate attempts to take a new course. In particular, my study analyses the recent literary tendency to combine the elements of ‘crime’ and ‘history’ in order to represent political and social reality, and how the works examined relate to postmodern narrative. For this reason, I pay particular attention to the relationship between literature and the past and to the socio-political aspects connected with the praxis of narrating, offering an original interpretation of the way in which the authors studied engage with these characteristics.

Cognitive issues in information visualisation design for interaction for the visually impaired

This paper reports on the findings of a study on improving interaction design for visually impaired students, focusing upon the cognitive criteria for information visualisation.

Predicting the reliability of power electronic modules

This paper discusses the reliability of an IGBT power electronics module. This work is part of a major UK funded initiative into the design, packaging and reliability of power electronic modules. The predictive methodology combines numerical modeling techniques with experimentation and accelerated testing to identify failure modes and mechanisms for these type of power electronic module structures. The paper details results for solder joint failure substrate solder. Finite element method modeling techniques have been used to predict the stress and strain distribution within the module structures. Together with accelerated life testing, these results have provided a failure model for these joints which has been used to predict reliability of a rail traction application

Speech Recognition with unknown partial feature corruption - a review of the union model

This paper provides a summary of our studies on robust speech recognition based on a new statistical approach – the probabilistic union model. We consider speech recognition given that part of the acoustic features may be corrupted by noise. The union model is a method for basing the recognition on the clean part of the features, thereby reducing the effect of the noise on recognition. To this end, the union model is similar to the missing feature method. However, the two methods achieve this end through different routes. The missing feature method usually requires the identity of the noisy data for noise removal, while the union model combines the local features based on the union of random events, to reduce the dependence of the model on information about the noise. We previously investigated the applications of the union model to speech recognition involving unknown partial corruption in frequency band, in time duration, and in feature streams. Additionally, a combination of the union model with conventional noise-reduction techniques was studied, as a means of dealing with a mixture of known or trainable noise and unknown unexpected noise. In this paper, a unified review, in the context of dealing with unknown partial feature corruption, is provided into each of these applications, giving the appropriate theory and implementation algorithms, along with an experimental evaluation.