The article presents the process of selecting and optimising artificial neural networks based on the example of determining the stress distribution in a disk-drum structure compressor stage of an aircraft turbine engine. The presented algorithm allows the determination of von Mises stress values which can be part of the penalty function for further mass optimization of the structure. A method of a parametric model description of a compressor stage is presented in order to prepare a reduced stress distribution for training artificial neural networks.
View Article and Find Full Text PDFIntroduction: Renal transplantation is a treatment of choice for patients with end‑stage renal disease. The main goal of transplant care is to achieve the best long‑term patient survival (PS) and graft survival (GS).
Objectives: We aimed to assess the impact of various immunosuppression (IS) protocols on PS and GS following renal transplantation.
Background: There are many doubts with regards to accepting deceased kidneys with acute kidney injury (AKI) for transplantation.
Purpose: The aim of this study was to present the 5-years outcome of kidney transplantation cases where deceased donors developed AKI before organ procurement.
Methods: Two hundred twenty-six deceased renal transplants were analyzed.
Background: Considerable differences exist among the living donor Kidney Exchange Programmes (KEPs) that are in use and being built in Europe, contributing to a variation in the number of living donor transplants (Newsletter Transplant; International figures on donation and transplantation 2016). Efforts of European KEPs to exchange (best) practices and share approaches to address challenges have, however, been limited.
Methods: Experts from 23 European countries, collaborating on the European Network for Collaboration on Kidney Exchange Programmes Cooperation on Science and Technology Action, developed a questionnaire to collect detailed information on the functioning of all existing KEPs in Europe, as well as their opportunities and challenges.
Background: It has been determined that there are about 25% patients with renal allograft failure on the waiting lists.
Methods: We analyzed 406 patients who received a kidney graft from 2013 to 2015 in a single center. The analysis resulted in 33 pairs of patients: for one recipient in the pair it was the first transplantation and for the other it was the second or a subsequent one.