In our previous study, a galactose monosaccharide with C9 spacer was chemically coupled to recombinant human interleukin 1alpha (rhIL-1alpha) in order to study the effect of glycosylation on its activities, and to develop IL-1 with less deleterious effects. The glycosylated IL-la exhibited reduced activities in vitro by 10 to 10000-fold depending upon different aspects of activities addressed. The affinity to type I and II IL-1 receptors were also reduced. In this study we examined a variety of IL-1 activities in vivo, including upregulation of serum levels of IL-6, alpha1-acid glycoprotein, NOx, corticosterone, downregulation of serum level of glucose, and recovery of peripheral white blood cells (WBCs) from myelosuppression in 5-fluorouracil-treated mice. In contrast to the biological activities in vitro, these activities in vivo were uniformly reduced by only about 10 to 20-fold compared to untreated IL-1alpha.
This paper describes the new scheme to enhance data handling for deducing efforts on power system analysis. Generally, power systems are very large and containing great many power devices. Further more, conventional applications for power system analysis are developed individually and requiring complicated and different data format so that power system operators and planners are always forced heavy labor and widely experienced. To reduce efforts on power system analysis, it is necessary to increase efficiency of data handling. Many useful data handling schemes can be provided by the latest information technology (IT). In this paper, the example of applying graphical user interface, data base function and Python script to data handling for power system analysis will be introduced. These schemes are all installed in the power system analysis application package, named IMPACT.IMPACT GUI Python
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.