Aim of kidney transplantation is to keep the functions of graft as long as possible, with an improvement of survival and quality of patients’ lives. Aim of this article was to show the outcome of kidney transplantation in patients who were treated and monitored on Institute of Nephrology, CCU of Sarajevo in period between 1996 and 2004. and to identify the factors which can interfere with graft surviving. Retrospective analysis of data from the register of kidney transplanted patients was done. In the mentioned period 29 kidney transplants were performed, and at the same time 15 previously transplanted patients (total of 44) were monitored. Patients were followed until death or graft insufficiency. Most often cause of chronic renal failure before the transplantation were glomerular diseases (3l,8% cases), and chronic pyelonephritis in 29,5% cases. Living-donor related kidney transplantation was performed in 56,8% of patients, living-donor unrelated in 27,3% of patients and cadaveric in 15,9% of patients. Post-transplant complications occurred in 29,5% of patients. Analysis of graft surviving on 12 months, 5 years and 10 years monitoring showed functional grafts in 87,5%, 80% and 75,0% of patients. Cumulative survival of patients on one year monitoring is 100%, on 5 year 100%, and on 10 year 93,8%. Primary causes of graft function loss were recurrent kidney diseases. Three patients (6,8%) died due to concomitant diseases, irrespective of the transplantation. Kidney transplantation is a successful treatment of a chronic renal failure with a high percentage of patients survival and long term graft survival, but also with serious post-transplant complications.

Purpose – To resolve the drawback in the existing methods for query refinement by using semantic technologies. Design/methodology/approach – The article introduces a conceptual space (ontology) in which a query refinement problem will be treated. In that space a query is modeled as a set of logic formulas, query refinement process is modeled as an inferencing process. The approach is focused on the positive conjunctive queries.Findings – This (re)opens a question about a need for a more semantic‐based indexing of documents in the traditional information retrieval in order to improve the overall retrieval performances. This experimental study has shown that the semantics arisen (emerged) from row documents has enough quality to enable building query refinement methods that outperform the most advanced syntactic‐driven methods. Consequently, one can imagine a more emergent‐semantic based indexing process that will retain the autonomy of web data, but will significantly increase the precision of the retrieva...