• Title/Summary/Keyword: Functional reduction

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Application of Membrane Bioreactor Technology for the Development of Bioactive Substances from Seafood Processing Byproducts

  • Kim, Se-Kwon;Mendis, Eresha
    • Journal of Marine Bioscience and Biotechnology
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    • v.1 no.1
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    • pp.9-21
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    • 2006
  • Foods and related substances from diverse sources known to have a potential for disease risk reduction are called functional foods, while nutraceuticals are bioactive compounds isolated from food and sold in dosage form. Nutraceutical and functional food industries are rapidly growing in recent years and most of the cases development of these functional materials involves certain biotransformation processes. A number of bioactive compounds has been identified up to date and isolated from seafood related products through enzyme-mediated hydrolysis. The enzymatic bioconversion process require suitable biocatalysts and appropriate bioreactor systems to incubate byproducts with digestive enzymes. Membrane bioreactor technology is recently emerging for the development of bioactive compounds from seafood processing byproducts.

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Bayesian curve-fitting with radial basis functions under functional measurement error model

  • Hwang, Jinseub;Kim, Dal Ho
    • Journal of the Korean Data and Information Science Society
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    • v.26 no.3
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    • pp.749-754
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    • 2015
  • This article presents Bayesian approach to regression splines with knots on a grid of equally spaced sample quantiles of the independent variables under functional measurement error model.We consider small area model by using penalized splines of non-linear pattern. Specifically, in a basis functions of the regression spline, we use radial basis functions. To fit the model and estimate parameters we suggest a hierarchical Bayesian framework using Markov Chain Monte Carlo methodology. Furthermore, we illustrate the method in an application data. We check the convergence by a potential scale reduction factor and we use the posterior predictive p-value and the mean logarithmic conditional predictive ordinate to compar models.

A Low Poorer Resource Allocation Algorithm Based on Minimizing Switching Activity (스위칭 동작 최소화를 통한 저 전력 자원할당 알고리즘)

  • 신무경;인치호;김희석
    • Proceedings of the IEEK Conference
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    • 2001.06b
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    • pp.121-124
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    • 2001
  • This paper proposed resource allocation algorithm for the minimum switching activity of functional unit in high level synthesis process as like DSP which is circuit to give many functional unit. The resource allocation method after scheduling use the power function calculating average hamming distance and switching activity of the between two input. First of all, the switching activity is calculated by the input value after calculating the average hamming distance between operation. In this paper, the proposed method though high If level simulation find switching activity in circuit each functional unit exchange for binary sequence length and value bit are logic one value. To use the switching activity find the allocation with minimal power consumption, the proposed method visits all control steps one by one and determines the allocation with minimal power consumption at each control step. As the existing method, the execution time can be fast according to use the number of operator and max control step. And it is the reduction effect from 6% to 8%.

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Functional Properties of Milk Protein in Fermented Milk Products (발효유제품의 유단백질 기능성 연구 동향)

  • Lee, Won-Jae
    • Journal of Dairy Science and Biotechnology
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    • v.25 no.2
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    • pp.29-32
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    • 2007
  • An understanding functional properties and molecular interactions of milk proteins was critical to improve qualities of fermented dairy products including yogurts and cheeses. Extensive rearrangements of casein particles were important factors to enhance whey separation in yogurt gel network. The use of high hydrostatic pressure treated whey protein as an ingredient of low fat processed cheese food resulted in the production of low fat processed cheese food with acceptable firmness and enhanced meltabilities. Milk protein-based nano particles produced by self-association of proteins could be better nutrient delivery vehicle than micro particle since particle size reduction in nano particles could lead to increased residence time and surface area available in GI tract.

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Influencing Predictors of Quality of Life in Burn Patients (화상 환자의 삶의 질 영향 요인)

  • Park, Hyomi;Yoon, young Mi
    • Korean Journal of Adult Nursing
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    • v.17 no.1
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    • pp.100-108
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    • 2005
  • Purpose: The purpose of this study was to identify predictors of quality of life in burn patients. The predictors of quality of life were the subject's characteristics(marriage, income, burn size, burn site, pain and functional limitation) and personal resources(self esteem and social support). Method: 96 burn subjects who were hospitalized participated in the study. The data analysed was with descriptive analysis, ANOVA, Pearson correlation coefficient and multiple regression. Result: Burn patients who had a spouse and had higher levels of income, with smaller size of burn, no arm burn, with lower levels of pain and functional limitation, plus higher levels of self esteem and social support reported higher levels of quality of life(R2=0.5229). Conclusion: Based on the finding of this study, development of nursing intervention programs including reduction of pain and functional limitation, enhancing self esteem and social support can be suggested.

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A Study on Mega-Y Project Innovation Activities (대형 혁신과제 추진방법에 대한 연구)

  • Sung, Su-Gyeong;Kim, Joon-Seok;Byun, Jai-Hyun
    • Journal of Korean Society for Quality Management
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    • v.38 no.4
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    • pp.531-539
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    • 2010
  • Mega-Y project is very important for a company to gain a competitive advantage in markets or to achieve drastic change in the internal processes. It stems from the company strategy and annual management goals or key performance measures, and is proceeded by the cross-functional team. This paper presents the success factors and implementation process of the Mega-Y projects. The implementation process is presented in 5 steps, including project selection, cross-functional team building, establishment of the master plan, development and execution of sub-projects, and project completion. A case study on the cost reduction project of aircraft development is presented to help for the practitioners to deploy the implementation process introduced in this paper.

FPCA for volatility from high-frequency time series via R-function (FPCA를 통한 고빈도 시계열 변동성 분석: R함수 소개와 응용)

  • Yoon, Jae Eun;Kim, Jong-Min;Hwang, Sun Young
    • The Korean Journal of Applied Statistics
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    • v.33 no.6
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    • pp.805-812
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    • 2020
  • High-frequency data are now prevalent in financial time series. As a functional data arising from high-frequency financial time series, we are concerned with the intraday volatility to which functional principal component analysis (FPCA) is applied in order to achieve a dimension reduction. A review on FPCA and R function is made and high-frequency KOSPI volatility is analysed as an application.

Differential Tolerance of Rice Cultivars to Mesotrione-Contained Herbicides (Mesotrione 함유 제초제에 대한 벼 생태형간 약해반응 차이)

  • Kim, Sang-Yeol;Lee, Ji-Yoon;Yeo, Un-Sang;Oh, Seong-Hwan;Park, Sung-Tae;Lee, Jong-Hee;Jeong, Kuk-Hyun;Cho, Jun-Hyeon;Song, You-Chun;Kang, Hang-Won
    • Korean Journal of Weed Science
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    • v.30 no.3
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    • pp.300-307
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    • 2010
  • Greenhouse experiment was conducted to evaluate tolerance of six rice cultivars, three Indica${\times}$Japonica rice (long grain, cv. Dasanbyeo, Segejinmi and Hanareumbyeo) and three Japonica rice (short grain, Nampyung, Ilpumbyeo and Junamjosaeng) cultivars, to mesotrione+pretilachlor (MP) and bensulfuron-methyl+mesotrione+pretilachlor+pyriftalid (BMPP) in transplanting rice. Two herbicides were applied at 90 g and 180 g a.i. $ha^{-1}$ to three to four leaf stage rice at 5 and 15 days after transplanting, respectively. Related study was also conducted to compare $GR_{50}$ for Indica${\times}$Japonica and Japonica rice cultivars at different MP rates. Response to two herbicides varied with respect to rice cultivars and herbicide rates. All Indica${\times}$Japonica rice cultivars exhibited susceptible to both MP and BMPP as reflected by increased visual injury, shorter plant height and higher plant dry matter reduction when compared with nontreated rice cutlivars. The degree of foliar chlorosis by MP at 90 g a.i. $ha^{-1}$ was 5~6 at 7 days after treatment(DAT) but it was decreased to 3~6 at 14DAT. The degree of leaf chlorosis treated with 180 g a.i. $ha^{-1}$ MP was 6~7 at 7DAT and it was also decreased to 3~8 at 14 DAT. The plant hight of Indica${\times}$Japonica rices was inhibited by 18~43% at application of 90 g a.i. $ha^{-1}$ MP and 30~50% at 180 g a.i. $ha^{-1}$ MP. The dry matter reduction was greater than that of plant height inhibition, showing 46~73% at 90 g a.i. $ha^{-1}$ MP and 65~82% at 180 g a.i. $ha^{-1}$ MP. Similar leaf chlorosis injury and growth inhibition of rice cultivars was observed in the BMPP treatment. The injury and growth inhibition by MP and BMPP increased with increase in herbicide rate from 90 g a.i. $ha^{-1}$ to 180 g a.i. $ha^{-1}$. However, most of the Japonica cultivars are tolerant to MP and BMPP at both rates. There was no visible leaf chlorosis but plant height and dry matter production were slightly reduced at 180 g a.i. $ha^{-1}$. Based on $GR_{50}$ value determined in reduction of shoot dry weight for MP, the Indica${\times}$Japonica rice showed 12.9 fold lower compared with the Japonica rice. The result indicates that rice cultivars vary in tolerance to herbicides of MP and BMPP and Indica${\times}$Japonica rices were more susceptible than the Japonica rices to the MP and BMPP.

Fabrication and Characterization of Ag Nanoparticle Dispersed Polymer Nanofiber and Ag Nanofiber Using Electrospinning Method (전기방사법을 이용한 Ag 나노입자 분산 고분자 나노파이버와 Ag 나노파이버 제조 및 특성 평가)

  • Kim, Hee-Taik;Hwang, Chi-Yong;Song, Han-Bok;Lee, Kun-Jae;Joo, Yeon-Jun;Hong, Seong-Jei;Kang, Nam-Kee;Park, Seong-Dae;Kim, Ki-Do;Cho, Yong-Ho
    • Journal of Powder Materials
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    • v.15 no.2
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    • pp.114-118
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    • 2008
  • Functional nanomaterial is expected to have improved capacities on various fields. Especially, metal nanoparticles dispersed in polymer matrix and metal nanofiber, one of the functional nanomaterials, are able to achieve improvement of property in the electric and other related fields. In this study, the fabrication of metal (Ag) nanoparticle dispersed nanofibers were attempted. The Ag nanoparticle dispersed polymer nanofiber and Ag nanofiber were fabricated by electrospinning method using electric force. First, PVP/$AgNO_3$ nanofibers were synthesized by electrospinning in $18{\sim}22kV$ voltage with the starting materials (Ag-nitrate) added polymer (PVP; poly (vinylpyrrolidone)). Then Ag nanoparticle dispersed polymer nanofibers were fabricated to reduce hydrogen reduction at $150^{\circ}C$ for 3hr. And Ag nanofibers were synthesized by the decomposited of PVP at $300{\sim}500^{\circ}C$ for 3hr. The nanofibers were analyzed by XRD, TGA, FE-SEM and TEM. The experimental results showed that the Ag nanofibers could be applied in many fields as an advanced material.

A Facile Reduction of Acid Anhydrides with Borane in the Presence of Lithium Chloride in Tetrahydrofuran

  • Yoon, Nung-Min;Lee, Whee-Seong
    • Bulletin of the Korean Chemical Society
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    • v.7 no.4
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    • pp.296-298
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    • 1986
  • Carboxylic acid anhydrides are rapidly reduced with borane-lithium chloride (1:0.1) system to give corresponding alcohols (diols in the case of cyclic anhydride) quantitatively in tetrahydrofuran at room temperature. This reagent tolerates aromatic acid ester, nitro, and halide functional groups, however competitively reduces aliphatic ester and nitrile groups.