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Senescence is a sequence of biochemical and physiological events that constitute the final stage of development. The identification of genes that alter senescence has practical value and is helpful in revealing pathways that influence senescence. However, the genetic mechanisms of senescence are largely unknown. The leaf of the oresara9 (ore9) mutant of(More)
Four mutants that show the delayed leaf senescence phenotype were isolated from Arabidopsis thaliana. Genetic analyses revealed that they are all monogenic recessive mutations and fall into three complementation groups, identifying three genetic loci controlling leaf senescence in Arabidopsis. Mutations in these loci cause delay in all senescence parameters(More)
Somatic cells can be reprogrammed into induced pluripotent stem (iPS) cells by the transcription factors Oct4, Sox2, and Klf4 in combination with c-Myc. Recently, Sox2 plus Oct4 was shown to reprogram fibroblasts and Oct4 alone was able to reprogram mouse and human neural stem cells (NSCs) into iPS cells. Here, we report that Bmi1 leads to the(More)
Role-based access control (RBAC) is a well-accepted model for access control in an enterprise environment. When we apply RBAC model to large enterprises, effective role administration is a major issue. ARBAC97 is a well-known solution for decentralized RBAC administration. ARBAC97 authorizes administrative roles by means of role ranges and prerequisite(More)
AIMS To determine whether glucose in growth medium affects secondary metabolite production and biocontrol efficacy of Pseudomonas chlororaphis O6. METHODS AND RESULTS The secondary metabolites pyrrolnitrin and phenazines antagonize phytopathogenic fungi. The expression of the prnA gene encoding tryptophan halogenase, the first step in pyrrolnitrin(More)
This article identifies novel factors involved in cholesterol reduction by probiotic bacteria, which were identified using genetic and proteomic approaches. Approximately 600 Lactobacillus acidophilus A4 mutants were created by random mutagenesis. The cholesterol-reducing ability of each mutant was determined and verified using two different methods: the(More)
The quality of dataset has a profound effect on classification accuracy, and there is a clear need for some method to evaluate this quality. In this paper, we propose a new dataset evaluation method using the R-value measure. This proposed method is based on the ratio of overlapping areas among categories in a dataset. A high R-value for a dataset indicates(More)