The objective of the present investigation was to compare potential differences in cytoplasmic amino acid levels between clinical and ATCC 29213 strains of Staphylococcus aureus (S. aureus). The two strains were grown under ideal conditions to mid-exponential and stationary growth phases, after which they were harvested to analyze their amino acid profiles. Initially, the amino acid patterns of both strains were compared at the mid-exponential phase when grown in controlled conditions. At the mid-exponential phase, both strains shared common features in cytoplasmic amino acid levels, with glutamic acid, aspartic acid, proline and alanine identified as key amino acids. However, the concentration profiles of seven amino acids exhibited major variances between the strains, even though the total cytoplasmic levels of amino acids did not alter significantly. At the stationary phase, the magnitudes of the amino acids abundant in the mid-exponential phase were altered. Aspartic acid became the most abundant amino acid in both strains accounting for 44% and 59% of the total amino acids in the clinical and ATCC 29213 strains, respectively. Lysine was the second most abundant amino acid in both strains, accounting for 16% of the total cytoplasmic amino acids, followed by glutamic acid, the concentration of which was significantly higher in the clinical strain than in the ATCC 29213 strain. Interestingly, histidine was clearly present in the clinical strain but was virtually lacking in the ATCC 29213 strain. This study reveals the dynamic diversity of amino acid levels among strains, which is an essential step toward illustrating the variability in S. aureus cytoplasmic amino acid profiles and could be significant in explaining variances among strains of S. aureus.
The problem of managing load is deceivingly simple and appears in almost all types of technology solution offerings. 3,4 Essentially, it is a contention for limited resources. From the perspective of providing service over the Internet (for example, hypertext transfer protocol [HTTP], file transfer protocol [FTP], and telnet), a major problem is contention for the server resources that promise and provide these services. The delay perceived by an end user (client) in the Internet is a function of server response delay and network delay (for example, from routers and switches), where the latter is the more prominent bottleneck in many cases. Still, a server's response time to a request may become unacceptably high, far exceeding network propagation and congestion delays, when
This paper reports a replacement procedure for cache memories. The procedure is essentially a fuzzy algorithm that makes use of 18 rules to select the cache block to be replaced. These rules are primarily a function of three parameters: age and the frequency of usage of a cache block, and the global hit ratio of the cache system. Computationally, the proposed algorithm calculates a replacement index for each cache block and the block with highest replacement index is selected as a victim. The performance of this fuzzy procedure is compared with traditional replacement algorithms such as least recently used (LRU) and first in first out (FIFO). Our simulation experiments indicate that the proposed algorithm is a strong contender to the traditional counterparts. The unique feature of the proposed algorithm is its flexibility; that is, one can always improve its performance further by fine-tuning the rules.
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