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Building a Business Knowledge Base by a Supervised Learning and Rule-Based Method
( Sungho Shin ),( Hanmin Jung ),( Mun Yong Yi ) 한국인터넷정보학회 2015 KSII Transactions on Internet and Information Syst Vol.9 No.1
Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies` competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.
Shin, Jihye,Kwon, Yumi,Lee, Seonjeong,Na, Seungjin,Hong, Eun Young,Ju, Shinyeong,Jung, Hyun-Gyo,Kaushal, Prashant,Shin, Sungho,Back, Ji Hyun,Choi, Seon Young,Kim, Eun Hee,Lee, Su Jin,Park, Yae Eun,Ahn American Chemical Society 2019 Journal of Proteome Research Vol.18 No.10
<P>We propose to use cRFP (common Repository of FBS Proteins) in the MS (mass spectrometry) raw data search of cell secretomes. cRFP is a small supplementary sequence list of highly abundant fetal bovine serum proteins added to the reference database in use. The aim behind using cRFP is to prevent the contaminant FBS proteins from being misidentified as other proteins in the reference database, just as we would use cRAP (common Repository of Adventitious Proteins) to prevent contaminant proteins present either by accident or through unavoidable contacts from being misidentified as other proteins. We expect it to be widely used in experiments where the proteins are obtained from serum-free media after thorough washing of the cells, or from a complex media such as SILAC, or from extracellular vesicles directly.</P> [FIG OMISSION]</BR>
Antimicrobial Activity of a Halocidin-Derived Peptide Resistant to Attacks by Proteases
Shin, Yong Pyo,Park, Ho Jin,Shin, Seo Hwa,Lee, Young Shin,Park, Seungmi,Jo, Sungho,Lee, Yong Ho,Lee, In Hee American Society for Microbiology 2010 Antimicrobial Agents and Chemotherapy Vol.54 No.7
<B>ABSTRACT</B><P>Cationic antimicrobial peptides (AMPs) have attracted a great deal of interest as a promising candidate for a novel class of antibiotics that might effectively treat recalcitrant infections caused by a variety of microbes that are resistant to currently available drugs. However, the AMPs are inherently limited in that they are inevitably susceptible to attacks by proteases generated by human and pathogenic microbes; this vulnerability severely hinders their pharmaceutical use in human therapeutic protocols. In this study, we report that a halocidin-derived AMP, designated HG1, was found to be resistant to proteolytic degradation. As a result of its unique structural features, HG1 proved capable of preserving its antimicrobial activity after incubation with trypsin, chymotrypsin, and human matrix metalloprotease 7 (MMP-7). Additionally, HG1 was observed to exhibit profound antimicrobial activity in the presence of fluid from human skin wounds or proteins extracted from the culture supernatants of <I>Staphylococcus aureus</I> and <I>Pseudomonas aeruginosa</I>. Greater understanding of the structural motifs of HG1 required for its protease resistance might provide feasible ways to solve the problems intrinsic to the development of an AMP-based antibiotic.</P>
( Sungho Shin ),( Youngmin Moon ),( Jaepil Lee ),( Seongmin Hong ),( Sungho Jeong ) 한국폐기물자원순환학회(구 한국폐기물학회) 2019 ISSE 초록집 Vol.2019 No.-
The growth of worldwide stainless steel consumption over the past years has been steady. Therefore, recycling of stainless steels has been encouraged since stainless steel contains valuable raw materials like Cr, Ni, Mn and Mo and the production of stainless steel is costly. However, stainless steel has various types and grades depending on elemental compositions. For the recycling of stainless steel scraps, sorting the scraps by stainless steel type and grade is vital. Since stainless steel scraps have not much difference in color and composition ratio, they can be accurately sorted only by measuring their compositions. Laser-induced breakdown spectroscopy (LIBS) is an appropriate method for this purpose and has been considered as a promising technique for the rapid determination of compositions of scrap metals based on a chemical analysis. LIBS has various advantages such as fast multi-elemental and in-air analysis that enables a real time analysis in industrial environments. For the application of LIBS to an industrial system, however, it is necessary to reduce the effects of plasma fluctuation during LIBS measurement since LIBS signals are influenced by plasma property changes. In this work, we report the results of LIBS elemental analysis of similar stainless steel certified reference metals in variable focusing conditions which induced different evolution of plasma. Signal processing algorithm considering intensity ratio will be discussed to improve classification accuracy for an industrial recycling by reducing the effects of focusing condition changes.
LPS로 유발한 장염증 모델에 대한 주초황금의 항산화 조절 및 장염증 개선 효과
신성호 ( Sungho Shin ),신유옥 ( Yuock Shin ),이주영 ( Jooyoung Lee ),이아름 ( Ahreum Lee ),김민영 ( Minyeong Kim ),박찬흠 ( Chanhum Park ),서부일 ( Buil Seo ),노성수 ( Seong-soo Roh ) 대한본초학회 2015 大韓本草學會誌 Vol.30 No.4
Objectives: The aim of present study was to evaluate the beneficial effect of Scutellariae Radix (SR) and Scutellariae Radix EtOH-heated at 200℃ (SR200) using lipopolysaccharide (LPS) treated intestine of mice. Methods: Extract of SR and SR200 were orally administrated. Their effects were compared with vehicletreated LPS and normal groups. Subsequently, we measured reactive oxygen species (ROS) and nitric oxide in the serum and western blotting in the intestine. Results: The average weight in LPS treated (Vehicle) group was lowered significantly compare to that in non-treated normal group and this weight loss in the vehicle group was effectively prevented by the administration of SR and SR200 respectively. The increased oxidative stress biomarker levels such as reactive oxygen species (ROS) and nitric oxide (NO) in the serum was markedly decreased by treated with SR200. The decreased levels of superoxide dismutase (SOD), catalase (CAT) and glutathione peroxidase (GPx) induced by LPS injection were significantly restored by both SR and SR200 treatment. Moreover, increased inflammatory mediators and cytokines such as inducible nitric oxide synthase (iNOS), cyclooxygenase-2 (COX-2), tumor necrosis factor alpha (TNF- ) and interleukin-6 (IL-6) in the LPS treated vehicle mice were significantly decreased through down-regulation c-JUN through reduction of oxidative stress. Conclusions: SR and SR200 could have benefit effect through down-regulation of abnormal oxidative stress in LPS induced intestine injury mice. Moreover, The anti-inflammatory activity of SR200 extract was better than SR extract in the LPS induced intestine injury mice.