An analysis of the brain weights of 168 alcoholics showed that the mean brain weight of male alcoholics was less (p less than 0.001) than that of a normal population. Two subgroups of alcoholics were identified. Firstly, those with nutritional brain damage (Wernicke's encephalopathy, caused by vitamin B1 deficiency) and, secondly, those with brains which appeared "normal" macroscopically and mi...

An important outcome of assessing relative efficiencies within a group of decision making units (DMUs) in fuzzy data envelopment analysis is a set of virtual multipliers or weights accorded to each (input or output) factor taken into account. These sets of weights are, typically, different for each of the participating DMUs, and in some cases it may be considered unacceptable that the same fact...

in the present study, we investigated total cell protein patterns of ten isolates of trichophyton rubrum by sds-page on 12.5% polyacrylamide resolving gels. twenty-two protein bands were detected with molecular weights in the range of 23.2 to 131.8 kd. proteins of 23.2, 25.4, 26.7, 28.2, 30.2, 33.1, 34.7, 38,41.7, 47.9, 52.5, 56.2, 61.7, 67.6, 70.8, 75.9, 80, 84.1, 93.3, 102.3, 114.8, 131.8 wer...

data envelopment analysis (dea) is a method used for measuring the efficiency of decision-making units‎. unlike the standard models‎, ‎which assume decision-making units to be a black box‎, ‎network data envelopment analysis focuses on the internal structure of these units‎. ‎some researchers have developed a two-stage method where all the inputs are entirely used in the first stage‎, ‎producin...

In this race for productivity, the most successful leaders in banking industry are those with high-efficiency and a competitive edge. Data envelopment analysis is one of widely used methods measuring efficiency organizations. study, we use ideal point concept propose common weights model fuzzy data non-discretionary inputs. The proposed considers environmental criteria uncertain to produce full...

This paper addresses the problem of finding linear quadratic regulator (LQR) weights such that associated discrete-time algebraic Riccati equations admit a common optimal stabilising solution. Solving is key to designing LQR controllers stabilise switched systems under arbitrary switching, or polytopic (e.g., Takagi-Sugeno fuzzy and parameter varying systems) in entire operating region. To ensu...