Writer identification approach based on bag of words with OBI features

Handwriter identification aims to simplify the task of forensic experts by providing them with semi-automated tools in order to enable them to narrow down the search to determine the final identification of an unknown handwritten sample. An identification algorithm aims to produce a list of predicted writers of the unknown handwritten sample ranked in terms of confidence measure metrics for use by the forensic expert will make the final decision.Most existing handwriter identification systems use either statistical or model-based approaches. To further improve the performances this paper proposes to deploy a combination of both approaches using Oriented Basic Image features and the concept of graphemes codebook. To reduce the resulting high dimensionality of the feature vector a Kernel Principal Component Analysis has been used. To gauge the effectiveness of the proposed method a performance analysis, using IAM dataset for English handwriting and ICFHR 2012 dataset for Arabic handwriting, has been carried out. The results obtained achieved an accuracy of 96% thus demonstrating its superiority when compared against similar techniques.     

Tablet use in primary education: Adoption hurdles and attitude determinants

In the Netherlands, six primary schools recently participated in a pilot program, creating an educational environment in which children use a tablet PC. In these six schools, two studies are conducted. The first study highlights the process by which primary schools adopted tablet PCs by means of interviews based on diffusion of innovation theory. All stages are discussed: Knowledge, persuasion, decision, implementation, and confirmation. Two tablet systems are considered: closed and open systems. In the second study, a questionnaire was administered among primary school children in the pilot schools. Factors that affected the general attitude towards tablet PCs are perceived usefulness, perceived ease of use, interest in the task and independence. Social influence and prior experience with tablets did not affect the overall attitude. The results of both studies provide several recommendations on how tablet PCs can contribute to educational improvements.     

Role of Heme Oxygenase, Leptin, Coenzyme Q10 and Trace Elements in Pre-eclamptic Women

The objective of this study to evaluate heme oxygenase (COHb), leptin and coenzyme Q10 (CoQ10) in pre-eclamptic women. Also Zinc, copper, Iron, total iron binding capacity, Ferritin and uric acid were assessed. 120 female subjects were included in this study. They were divided into, 60 female with normal pregnancy attending the outpatient clinic, 60 pre-eclamptic patients were recruited from obstetrics and gynaecology department El-kasr El-Aini hospital. The results showed that in pre-eclampatic group, leptin level was significantly increased while COHb and CoQ10 was significantly decreased. It is concluded that hemeoxygenase, leptin and coenzyme CoQ10 can be considered as new markers for prediction of pre-eclampsia.