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Yaya Rukayadi,Kwanhyoung Lee,Sunghwa Han,Sungkyung Kim,Jae-Kwan Hwang 한국식품과학회 2009 Food Science and Biotechnology Vol.18 No.5
Macelignan is a bioactive compound isolated from nutmeg (Myristica fragrans Houtt.) which has been traditionally used for the food and pharmaceutical purposes. In this study, the activities of macelignan against vegetative cells and spores of Bacillus cereus were evaluated in vitro. Our results showed that the vegetative cells of B. cereus were significantly inhibited in growth by macelignan with minimum inhibitory concentration (MIC) of 4 ㎍/㎖. The vegetative cells of B. cereus were completely killed with minimum bactericidal concentration (MBC) of 8 ㎍/㎖ of macelignan. Killing time of macelignan against vegetative cells of B. cereus was very fast; endpoint of macelignan was reached after 4 hr of incubation at 4×MIC. Macelignan inactivated more than 3-log (99.9%) of spores/㎖ of B. cereus at the concentration of 100 ㎍/㎖. Macelignan was found to be effective against vegetative cells and spores of B. cereus. These results suggest that macelignan might be good to be developed as a food preservative.
Yaya Chen,Yan Han,Tianlin Cao,Xiaoxia Han,Ray C. C. Cheung,Shifeng Zhang 대한전자공학회 2017 Journal of semiconductor technology and science Vol.17 No.5
This paper proposes a modulator that improves the signal-to-noise and distortion ratio (SNDR) by 6 dB compared with the conventional modulator. A high pass dither shaper added to the raised modulator eliminates harmonic spurs without increasing the in-band noise floor. Moreover, a behavior-level modeling method is proposed for a 200 KHz bandwidth switch-capacitor sigma-delta digital to analog converter (SC ΣΔDAC). Consequently, by considering the main non-idealities in the SC ΣΔDAC, in contrast with the conventional SC ΣΔDAC, MATLAB simulation results show that the SC ΣΔDAC with the proposed modulator boosts the SNDR by approximately 6 dB and the spurious free dynamic range (SFDR) by approximately 8 dB. Finally, with the circuit implemented in a 0.18 μm CMOS process, the measurement results are also used to further validate the proposed SC ΣΔDAC model.
Yaya Liu,Lingyu Xu,Jun Li,Jie Yu,Xuan Yu 한국뇌신경과학회 2020 Experimental Neurobiology Vol.29 No.1
Autism spectrum disorder (ASD) is a developmental syndrome characterized by obvious drawbacks in sociality and communication. It has crucial significance to exactly discern the individuals with ASD and typical controls (TC). Previous imaging studies on ASD/TC identification have made remarkable progress in the exploration of objective as well as crucial biomarkers associated with ASD. However, glaring deficiency is manifested by the investigation on solely homogeneous and small datasets. Thus, we attempted to unveil some replicable and robust neural patterns of autism using a heterogeneous multi-site brain imaging dataset from ABIDE (Autism Brain Imaging Data Exchange). Experiments were carried out with an attention mechanism based on Extra-Trees algorithm, taking the study object of brain connectivity measured with the resting-state functional magnetic resonance imaging (fMRI) data of CC200 atlas. With cross-validation strategy, our proposed method resulted in a mean classification accuracy of 72.2% (sensitivity=68.6%, specificity=75.4%). It raised the precision of ASD prediction by about 2% and specificity by 3.2% in comparison with the most competitive reported effort. Connectivity analysis on the optimal model highlighted informative regions strongly involved in the social cognition as well as interaction, and manifested lower correlation between the anterior and posterior default mode network (DMN) in autistic individuals than controls. This observation is concordant with previous studies, which enables our proposed method to effectively identify the individuals with risk of ASD.
Yaya Keho 한국국제경제학회 2010 International Economic Journal Vol.24 No.3
An important issue in the finance and growth literature is whether the strength of the relationship between finance and growth may depend on inflation rate. This paper uses time-series data to examine this evidence for seven African countries. The technique of principal component analysis is used to construct an overall index for financial development. This summary measure is used to estimate nonlinear growth equations. The empirical findings did not provide significant evidence of nonlinearity in the finance-growth relationship. Financial development has no significant effect on economic growth regardless of the level of inflation.
Rukayadi, Yaya,Han, Sunghwa,Yong, Dongeun,Hwang, Jae-Kwan Informa Healthcare 2011 Medical mycology Vol.49 No.1
<P>The formation of <I>Candida</I> biofilms has important clinical ramifications, because these biofilms exhibit increased resistance to conventional antifungal therapies. The aim of this study was to investigate the activity of xanthorrhizol on biofilms produced by non-<I>C. albicans Candida</I> (NCAC) species, including <I>C. glabrata</I>, <I>C. guilliermondii</I>, and <I>C. parapsilosis</I>. NCAC biofilms were generated in flat-bottom 96-well microtiter plates and quantified using the XTT (2, 3 - bis (2-methoxy-4-nitro-5-sulfophenyl)-5-[(phenyl amino) carbonyl]-2H-tetrazolium hydroxide) reduction assay. The NCAC biofilms at adherent, intermediate, and mature growth phases were treated with 0.5-512 μg/ml of xanthorrhizol for 24 h. The ranges of sessile minimum inhibitory concentrations (SMICs) of xanthorrhizol against <I>C. glabrata</I>, <I>C. guilliermondii</I>, and <I>C. parapsilosis</I> biofilms were 8-32 μg/ml, 8-16 μg/ml, and 8-64 μg/ml, respectively. Xanthorrhizol affected cell density that had an indirect effect on the biofilm OD<SUB>490</SUB>. The compound eradicated the viable cells of the <I>C. glabrata</I> and <I>C. parapsilosis</I> biofilms at the adherent growth phase at 16 μg/ml and that of <I>C. guilliermondii</I> at 8 μg/ml. Treatment with 128 μg/ml of xanthorrhizol reduced the OD<SUB>490</SUB> of <I>C. glabrata</I>, <I>C. guilliermondii</I>, and <I>C. parapsilosis</I> biofilms at the mature growth phase by 77.8%, 88.5%, and 64.5%, respectively. These results indicate that xanthorrhizol exhibits potent activity against NCAC biofilms <I>in vitro</I>. Therefore, xanthorrhizol has potential therapeutic value in treating biofilm-associated NCAC infections and should be further evaluated <I>in vivo</I>.</P>
In Vitro Activities of Panduratin A against Clinical Staphylococcus Strains
Rukayadi, Yaya,Lee, Kwanghyung,Han, Sunghwa,Yong, Dongeun,Hwang, Jae-Kwan American Society for Microbiology 2009 Antimicrobial Agents and Chemotherapy Vol.53 No.10
<B>ABSTRACT</B><P>In vitro antistaphylococcal activities of panduratin A, a natural chalcone compound isolated from <I>Kaempferia pandurata</I> Roxb, were compared to those of commonly used antimicrobials against clinical staphylococcal isolates. Panduratin A had a MIC at which 90% of bacteria were inhibited of 1 μg/ml for clinical staphylococcal isolates and generally was more potent than commonly used antimicrobials.</P>
Rukayadi, Yaya,Hwang, Jae-Kwan Heyden & Son 2007 Phytotherapy research Vol.21 No.5
<P>Xanthorrhizol was isolated from the rhizome of Curcuma xanthorrhiza (Zingiberaceae) and its in vitro activity against opportunistic filamentous fungi was evaluated using the NCCLS (M38-A) standard method. Xanthorrhizol was found to be active against all the species tested, namely Aspergillus flavus, Aspergillus fumigatus, Aspergillus niger, Fusarium oxysporum, Rhizopus oryzae and Trichophyton mentagrophytes: the MICs being 2.0, 2.0, 2.0, 4.0, 1.0 and 1.0 µg/mL, while the MFCs were 4.0, 4.0, 4.0, 8.0, 2.0 and 2.0 µg/mL, respectively. The susceptibility of six species of filamentous fungi to xanthorrhizol was comparable to that of the commercial antifungal, amphotericin B. Xanthorrhizol also has activity to inhibit the conidial germination of all tested species. The results strongly suggest that xanthorrhizol can be developed as a natural antifungal agent. Copyright © 2007 John Wiley & Sons, Ltd.</P>
Rizal YAYA,Siti Syifa IRFANA,Hosam Alden RIYADH,Hafiez SOFYANI 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.4
The aim of the study is to empirically investigate and analyze the influence of public welfare, audit findings, and follow-up of audit recommendations on audit opinion with the disclosure level of financial reports as an intervening variable using agency theory and signaling theory. To achieve this purpose, a quantitative research method was employed. Population of this study is Provincial Government Financial Reports in Indonesia for fiscal years 2016 to 2018. There were 84 financial reports that met the criteria of purposive sampling. The data were gathered from the websites of the Audit Board of the Republic of Indonesia and the Indonesian Central Bureau of Statistics. In this study, the hypothesis-testing tool is path analysis using the Statistical Package for Social Sciences version 15. Based on the multiple regression analysis, the results show that audit findings, public income, and the disclosure level of financial reports significantly influenced audit opinion. Besides, the follow-up of audit recommendations and public health significantly influenced audit opinion through the disclosure level of financial reports. This study suggests that, in order to have better audit opinion, local governments need to improve public welfare, follow-up audit finding, and disclose more details in financial report.