Researches on antica-icerous drugs are advancing by leaps and bounds, innumerable drugs having been subjected t) clinical trial already,l)2)3)4)5)6)7)8)9) 10)11)12) but no ideal anticancerous drug has been yet announced . For discovery of a better anticancerous drug, it seems indispensable to rescrutinize the effect of such agents in current use on the malignant neoplasms in humanbody more fund...

We report on the synthesis of one-dimensional (1D) Li(4)Ti(5)O(12) nanofibers through electrospinning and their outstanding electrochemical performances. Li(4)Ti(5)O(12) with a spinel structure is a promising candidate anode material for lithium rechargeable batteries due to its well-known zero-strain merits. In order to improve the electronic properties of spinel Li(4)Ti(5)O(12), which are int...

Comparative analysis is a mode of research, that due to its outstanding merits is widely used within many fields of scientific inquiry. Focusing on its application in historical research, this article aims to contribute to a more systematic discussion of some of the methodological strategies associated with this mode of analysis. For this purpose, this article presents first a few typologies re...

Compared to unhealthy UV or γ-ray and high-energy-consumption thermal external stimuli, the promising light emitting diode (LED) external stimulus has some outstanding technological merits such as narrow wavelength distribution, low heat generation and energy consumption, and safety for human beings. In this work, a novel reversible addition-fragmentation transfer (RAFT) polymerization system f...

© 2012 Hyun-Soo Kang et al. 369 In this paper, we propose new adaptive search range motion estimation methods where the search ranges are constrained by the probabilities of motion vector differences and a search point sampling technique is applied to the constrained search ranges. Our new methods are based on our previous work, in which the search ranges were analytically determined by the pro...

Despite outstanding successes of the state-of-the-art clustering algorithms, many of them still suffer from shortcomings. Mainly, these algorithms do not capture coherency and homogeneity of clusters simultaneously. We show that some of the best performing spectral as well as hierarchical clustering algorithms can lead to incorrect clustering when the data is comprised of clusters with differen...