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EN
Choosing a proper method to predict and timely prevent the complications of diabetes could be considered a significant step toward optimally controlling the disease. Since in medical research only small sample sizes of data are available and medical data always includes high levels of uncertainty and ambiguity, a type-2 fuzzy regression model seems to be an appropriate procedure for finding the relationship between outcome and explanatory variables in medical decision-making. In this paper, a new type-2 fuzzy regression model based on type-2 fuzzy time series concepts is used to forecast nephropathy in diabetic patients. Results in two examples show model efficiency. The use of such models in diabetes clinics is proposed.
EN
Michael addition of amides to alfa, beta-unsaturated esters efficiently proceed in the presence of K2CO3 and tetrabutylammonium bromide (TBAB) as a phase-transfer catalyst under microwave irradiation to afford N-alkylated amides in high yields and short reaction times.
EN
A simple, low cast and efficient solvent-free procedure for the preparation of bis(in -dolyl)methanes via condensation of indoles with aldehydes as well as ketones in the presence of catalytic amount of magnesium sulfate (MgSO4) is described. The reactions proceed rapidly in high yields at 50°C.
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