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Microscale Determination of Aqueous Two Phase System Binodals by Droplet Dehydration in Oil
Kojima, Taisuke,Takayama, Shuichi American Chemical Society 2013 ANALYTICAL CHEMISTRY - Vol.85 No.10
<P>This paper analyzes the use of a dehydrating oil system to determine binodal curves of an aqueous two phase system (ATPS). Aqueous droplets containing phase-forming polymers are dehydrated at the interface between two immiscible oils. The droplets shrink due to diffusion of water into the oil phase while constantly maintaining a spherical shape. Upon sufficient dehydration, dilute one-phase solutions of phase-forming polymers separate into two phases. Comparison of the droplet diameter at this phase separation point and at the beginning allows facile calculation of the concentration of polymers that determine the binodal curve. The miniaturized droplet dehydration-based binodals obtained in this manner matched the binodals determined by the conventional diluting method but using several orders of magnitude less sample volume (150 nL droplets versus 10 mL vials).</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/ancham/2013/ancham.2013.85.issue-10/ac400628b/production/images/medium/ac-2013-00628b_0009.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/ac400628b'>ACS Electronic Supporting Info</A></P>
Development of CAD for Zone Dividing of Process Control Networks to Improve Cyber Security
Hiroki Moritani,Shuichi Yogo,Takahito Morita,Midori Kojima,Kento Watanabe,Jing Sun,Ichiro Koshijima,Yoshihiro Hashimoto 제어로봇시스템학회 2014 제어로봇시스템학회 국제학술대회 논문집 Vol.2014 No.10
Recently, cyber security becomes a serious problem for not only OA (Office Automation) systems but also PA (Process Automation) and FA (Factory Automation) systems. Even the controllers, which are not connected to Internet directly, have been attacked with malwares, such as Stuxnet and Quantum. When control system fails, it may lead to serious accidents such as explosion or leakage of poisonous and deleterious substances. For process control, cyber-attack is one of the causes to threaten safety. The authors of this paper had proposed zone division of process control networks to ensure cyber security and safety. To apply the method, it is necessary to build CE (Cause Effect) matrices which express the qualitative information of the plant and controllers. It is very troublesome for large-scale plants. CAD (Computer Aided Design) tool for zone dividing is proposed in this paper. CE matrices are generated by using DAE (Differential and Algebraic Equation) registered in equipment modules of plant CAD such as ASPEN or Pro II. The candidates of zone division of process control networks, which can assure the safety against concealment and remote operation by cyber attackers, can be proposed.
Suzuki, Kunihiro,Kojima, Shuichi The Institute of Electronics and Information Engin 2010 Journal of semiconductor technology and science Vol.10 No.4
We proposed a tail function parameter extraction procedure for the establishment of a robust ion implantation database. We showed that, for the expression of ion implantation profiles, there are many local minimum values set for the third and fourth moment parameters of $\gamma$ and $\beta$ for the Pearson function that comprises the standard dual Pearson and tail functions. We proposed the use of a joined tail function as a mediate function to extract $\gamma$ and $\beta$, and demonstrated that this enables us to extract the parameters uniquely. Other parameters associated with channeling phenomena can also be simply and uniquely extracted by our procedure.
Kunihiro SUZUKI,Shuichi KOJIMA 대한전자공학회 2010 Journal of semiconductor technology and science Vol.10 No.4
We proposed a tail function parameter extraction procedure for the establishment of a robust ion implantation database. We showed that, for the expression of ion implantation profiles, there are many local minimum values set for the third and fourth moment parameters of r and β for the Pearson function that comprises the standard dual Pearson and tail functions. We proposed the use of a joined tail function as a mediate function to extract r and β, and demonstrated that this enables us to extract the parameters uniquely. Other parameters associated with channeling phenomena can also be simply and uniquely extracted by our procedure.
Lee, Young-Choon,Kono, Mari,Ohyama, Yuji,Hamamoto, Toshiro,Kojima, Naoya,Tsuji, Shuichi 東亞大學校附設遺傳工學硏究所 1998 遺傳工學硏究 Vol.- No.5
Four types of B-galactoside α2,3-sialyltransferase(ST3GalI-IV) have been cloned from several animals, but some contradictory observations regarding their substrate specificities and expression have been reported. Therefore, it is necessary to concurrently analyze the substrate specificities of the four enzymes, of which the source should be one animal. Accordingly, the acceptor substrate specificities and gene expression of mST3Gal I-IV were analyzed. Since we had already cloned ST3Gal I and II, as previously reported(Lee, Y.-C.et al., Eur.J.Biochem.,216,377-385(1993);J.Biol. Chem., 269,10028-10033(1994), the cDNAs of ST3Gal III and IV were cloned from mouse cDNA libraries. Each of the four enzymes was expressed in COS-7 cells as a recombinant enzyme fused with protein A, and applied on an IgG-Sepharose gel to eliminate endogenous sialytransferase activity. ST3Gal I and II showed the highest activity toward GalB1,3GalNAc(typeIII), very low activity toward GalB1,3GalNAc(typeIII), very low activity toward GalB1,3GlcNAc(typeI), but none toward GalB1,4GlcNAc(typeII). ST3Gal III and IV exhibited high activity toward the type I and II disaccharides, but very low activity toward the type I and II disaccharides, but very low activity toward the type I and III one. On the other hand, asialo-GM1(Gg4Cer) was as good a substrate for ST3Gal I and II as the type III disaccharide, though ST3Gal III and IV hardly utilized glycolipids as substrates, as indicated by in vitro experiments. Northern blot analysis revealed that enzymes of the ST3Gal-family are expressed mainly in a tissue-specific manner. The ST3Gal I gene was strongly expressed in spleen and salivary gland, and weakly in brain, liver, heart, kidney, and thymus. The ST3Gal II gene was strongly expressed in brain, and weakly in colon, thymus, salivary gland, and testis, and developmentally expressed in liver, heart, kidney, and spleen. The ST3Gal III and IV genes were expressed in a wide variety of tissues. These differences in tissue specific expression suggest the expression of each ST3Gal influences the distribution of sialyl-glycoconjugates in vivo.