Types and Molecular Weights of Subunits of Arachin-P6

Sodium dodecyl sulfate-polyacrylamide gel electrophoresis revealed that arachin-P6 contained nine types of subunits. The subunits were designated K15 (15, 069), K17 (17, 334), K20 (20, 000), K22 (21, 750), K24 (23, 557), K29 (29, 019), K37 (37, 161), K41 (41, 326) and K43 (43, 104) and molecular weight of each is given in parenthesis following its name. This observation was qualitatively comparable to the results of electrophoretic analysis of arachin-P6 conducted in the presence of urea.     

Hyperinsulinemia in obesity: significance of adipose tissue cell size

Adipose tissue biopsy and an oral glucose tolerance test (OGTT) (50 g) were performed in 17 non-hyperlipoproteinemic subjects without overt diabetes mellitus. All the persons were weight stable at the time of investigation. A significant correlation between fasting insulin concentration and the mean adipocyte size was observed, whereas no correlation was noted between the ideal body weight index and fasting insulin level. Persons with larger adipocytes had elevated insulin levels as well as higher and longer lasting increments following the glucose challenge. They also exhibited significantly higher mean glucose levels during the OGTT. When these patients were matched for glucose tolerance with the subgroup having smaller mean adipocyte sizes, the difference in insulin levels was still demonstrable. The importance of adipose cell enlargement regulating basal and stimulated insulin output is underlined.     

Power management by load forecasting in web server clusters

The complexity and requirements of web applications are increasing in order to meet more sophisticated business models (web services and cloud computing, for instance). For this reason, characteristics such as performance, scalability and security are addressed in web server cluster design. Due to the rising energy costs and also to environmental concerns, energy consumption in this type of system has become a main issue. This paper shows energy consumption reduction techniques that use a load forecasting method, combined with DVFS (Dynamic Voltage and Frequency Scaling) and dynamic configuration techniques (turning servers on and off), in a soft real-time web server clustered environment. Our system promotes energy consumption reduction while maintaining user’s satisfaction with respect to request deadlines being met. The results obtained show that prediction capabilities increase the QoS (Quality of Service) of the system, while maintaining or improving the energy savings over state-of-the-art power management mechanisms. To validate this predictive policy, a web application running a real workload profile was deployed in an Apache server cluster testbed running Linux.     

Complementation of a phycocyanin-bilin lyase from <Emphasis Type="Italic">Synechocystis</Emphasis> sp. PCC 6803 with a nucleomorph-encoded open reading frame from the cryptophyte <Emphasis Type="Italic">Guillardia theta</Emphasis>

Background  

Cryptophytes are highly compartmentalized organisms, expressing a secondary minimized eukaryotic genome in the nucleomorph and its surrounding remnant cytoplasm, in addition to the cell nucleus, the mitochondrion and the plastid. Because the members of the nucleomorph-encoded proteome may contribute to essential cellular pathways, elucidating nucleomorph-encoded functions is of utmost interest. Unfortunately, cryptophytes are inaccessible for genetic transformations thus far. Therefore the functions of nucleomorph-encoded proteins must be elucidated indirectly by application of methods in genetically accessible organisms.