The main motivation to conduct the study presented in this paper was the fact that due to the development of improved solutions for prediction risk of bleeding and thus a faster and more accurate diagnosis of complications in cirrhotic patients, mortality of cirrhosis patients caused by bleeding of varices fell at the turn in the 21th century. Due to this fact, an additional research in this field is needed. The objective of this paper is to develop one prediction model that determines most important factors for bleeding in liver cirrhosis, which is useful for diagnosis and future treatment of patients. To achieve this goal, authors proposed one ensemble data mining methodology, as the most modern in the field of prediction, for integrating on one new way the two most commonly used techniques in prediction, classification with precede attribute number reduction and multiple logistic regression for calibration. Method was evaluated in the study, which analyzed the occurrence of variceal bleeding for 96 patients from the Clinical Center of Nis, Serbia, using 29 data from clinical to the color Doppler. Obtained results showed that proposed method with such big number and different types of data demonstrates better characteristics than individual technique integrated into it.
In this paper, one multidisciplinary-applicable aggregated model has been proposed and verified. This model uses traditional techniques, on the one hand, and algorithms of machine learning as modern techniques, on the other hand, throughout the determination process of the relevance of model attributes for solving any problems of multicriteria decision. The main goal of this model is to take advantage of both approaches and lead to better results than when the techniques are used alone. In addition, the proposed model uses feature selection methodology to reduce the number of attributes, thus increasing the accuracy of the model. We have used the traditional method of regression analysis combined with the well-known mathematical method Analytic Hierarchy Process (AHP). This approach has been combined with the application of the ReliefF classificatory modern ranking method of machine learning. Last but not least, the decision tree classifier J48 has been used for aggregation purposes. Information on grades of the first-year graduate students at the Criminalistics and Police University, Belgrade, after they chose and finished one of the three possible study modules, was used for the evaluation of the proposed model. To the best knowledge of the authors, this work is the first work when considering mining closed frequent trees in case of the streaming of time-varying data.
The paper aims to present the results of study on how certain types of vehicles with malfunctioning technical parts affect traffic safety in the Republic of Serbia between 1997 and 2014. The following methods were used in the paper: statistical method, comparative method, analysis of frequency of defined traffic accident causes, Pearson linear correlation with a modelled algorithm for data processing. The technical malfunction of vehicles as a cause for accident occurrence has a share of 0,72% in the total number of accidents. The most common cause of accidents lies with malfunctioning lights or light-signalling devices on vehicles. The technical malfunction of vehicles has the highest value of 1,65% in accidents with fatalities and the biggest correlation between accidents at police district and accidents on national level is recorded with accidents in which only material damages were sustained. The research results can be used for comparison on regional level, so as for developing of the model of analysis of the causes of traffic accidents in Serbia and in the region.
The objective of this research is to consider the effects of certain parameters of the friction-welding process on the morphology of an aluminum/copper joint. The effect of the following parameters was monitored: the operating time, the operating pressure, the forging time and the forging pressure. The speed was constant during the binding process and reached 1500 min -1 . The preparation of the welding materials was performed in accordance with the industrial production conditions. With the SEM-EDS analysis, it was found that the morphology of the Al/Cu interface slightly changes when we change the distance from the rotation axis, irrespective of the combination of the friction-welding parameters. Apart from this, the joined effects of the operating pressure of 48 MPa and the forging pressure of 160 MPa caused a morphological change of the Al/Cu interface, while the forging time at the moment of the combined pressurizing effect significantly influenced the modification of the Al/Cu interface shape within a very narrow time interval of only a few seconds. Keywords: friction welding, bimetallic joint, interface, aluminum, copper, SEM-EDS Cilj te raziskave je obravnava vpliva nekaterih parametrov procesa tornega varjenja na morfologijo spoja aluminij/baker. Pregledan je bil vpliv naslednjih parametrov:~as delovanja, tlak pri obratovanju,~as kovanja in tlak pri kovanju. Hitrost 1500 min -1 je bila med spajanjem konstantna. Priprava materialov za varjenje je bila izvr{ena skladno s pogoji industrijske proizvodnje. S pomo~jo SEM-EDS analiz je bilo ugotovljeno, da se morfologija spoja Al/Cu rahlo spreminja s spreminjanjem razdalje od rotirajo~e osi, ne glede na kombinacijo parametrov procesa tornega varjenja. Poleg tega je skupni u~inek delovnega tlaka 48 MPa in tlaka pri kovanju 160 MPa povzro~il morfolo{ke spremembe spoja Al/Cu, medtem ko~as kovanja, v trenutku kombiniranega stiskanja mo~no vpliva na spremembo oblike Al/Cu spoja v zelo ozkem temperaturnem intervalu samo nekaj sekund.
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