The ahp genes encoding the two proteins (F52a and C22) that make up an alkyl hydroperoxide reductase were mapped and cloned from Salmonella typhimurium and Escherichia coli. Two classes of oxidant-resistant ahp mutants which overexpress the two proteins were isolated. ahp-1 was isolated in a wild-type background and is dependent on oxyR, a positive regulator of defenses against oxidative stress...

Decision.The Analytic Hierarchy Process AHP, introduced by Thomas Saaty 1980, is an. Synthesizing the results, the AHP helps to capture both subjective and.Saaty The AHP: How to make a decision properties or features of the alternatives being compared, and the alternatives themselves are gradually layered in the.INTRODUCTION. The Analytic Hierarchy Process AHP is due to Saaty 1980 and is often ...

Tom Saaty developed the analytic hierarchy process (AHP) more than 25 years ago. Since then, AHP has been used by decision makers all over the world to model problems in diverse areas such as conflict analysis, marketing, R&D management, strategic planning, and public policy. Thousands of AHP papers have been published, documenting the wide applicability of the approach in ranking, selecting, e...

The Analytic Hierarchy Process (AHP) has been considerably criticized for its possible rank reversal phenomenon. Many variants of the original AHP have been proposed to preserve rank orders. The validity of the original AHP and its variants have been a subject of long-lasting debate. In this paper we propose four criteria to evaluate the validity of AHP aggregation rules and examine three typic...

Trains of action potentials in hippocampal pyramidal neurons are followed by a prolonged afterhyperpolarization (AHP) lasting several seconds, which is attributable to the activation of a slow calcium-activated potassium current ((sI)AHP). Here we examine the location of (sI)AHP on CA1 pyramidal neurons by comparing it with two GABAergic inhibitory postsynaptic currents (IPSCs) with known somat...

In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the ...