Introduction: The primary nephrotic syndrome (PNS) is the most common glomerular nephropathy in children. Its diagnosis and management don't require histopathological study. It occurs mainly in the form of minimal glomerular lesion and in most cases respond to corticosteroids. The literature on histological lesions of pure PNS in adolescents and young adults is rare. Thus, there are no criteria or recommendations regarding the indications for renal biopsy in patients aged 12-18 years. Methods: This is a retrospective study in which we encountered a total of 386 patients aged 12 to 25 years who were admitted and biopsied at the Nephrology Unit of Ibn Roshd Hospital in Casablanca during the period from January 1st, 2000 to September 30th, 2009. Patients with pure PNS were 77 (20%), all were included in this study. Results: The average incidence of pure PNS was 7.7 cases per year. The study included 47 males (61%) and 30 females (39%). Patients were sent from all parts of Morocco and the average length of hospital stay was four days. Renal biopsies showed the following morphological lesions: minimal glomerular lesions in 61 cases (79.20%), focal segmental hyalinosis in 7 cases (9.10%), extramembranous glomerulonephritis in 7 cases (9.10%) and 2 cases of renal amyloidosis (2.6%). Conclusion: The minimal glomerular lesions were the most common cause of pure primary nephrotic syndrome in patients aged 12-25 years. Initial renal biopsy may not be indicated in this age group, and an empiric therapeutic trial with corticosteroids may be initially considered.

The number of Web Usage Mining (WUM) applications is growing continuously, especially due to the business interest in e-commerce Web sites and the related Web-marketing applications. The application of WUM results goes beyond the subject of our thesis since one important part of our thesis deals with the problem of selection of webviews using technics of WUM techniques. View materialization is an important issue if we want to improve the efficiency of many applications like OLAP, Database and Web applications. In this paper, we propose a novel approach for selecting webviews to be materialized in order to optimize the response time of web queries. The selection of webviews to be materialized was mainly based on the estimation of metrics requiring hard collects of multiple statistics [9] that's why, we believe on a solution based on mining an interesting set of webviews to be materialized from realistic data : Web log files. Thus, Web log files will be parsed, analyzed and treated to give a set of webviews, based on frequent closed itemsets.

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