• 제목/요약/키워드: 3P model

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수학적 정량평가모델을 이용한 Vibrio parahaemolyticus의 성장 예측모델의 개발 (Development of Predictive Growth Model of Vibrio parahaemolyticus Using Mathematical Quantitative Model)

  • 문성양;장태은;우건조;신일식
    • 한국식품과학회지
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    • 제36권2호
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    • pp.349-354
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    • 2004
  • 수산식품에서 문제가 되는 식중독 균인 V. parahaemolyticus를 대상으로 온도, pH 및 초기균수에 따른 균의 성장 실험 결과를 데이터베이스화하여 이를 바탕으로 균의 성장을 정량적으로 평가할 수 있는 수학적 모델을 개발하였다. $1.0{\times}10^{2},\;1.0{\times}10^{3},\;1.0{\times}10^{4}\;CFU/mL$의 각 초기균수 조건에서 실험치와 예측치의 상관계수는 각각 0.966, 0.979, 0.965으로 나타났다. 또한, 초기균수를 고려하지 않은 모델식은 상관계수가 0.966으로 다음과 같이 나타났다. Polynomial model: $$k=1.10{\cdot}\exp(-0.5(((T-34.14)/9.09)^{2}+((pH-6.59)/4.68)^{2}))$$ 균의 증식 지표치인 최대증식속도상수 k는 온도에 지배적인 영향을 받았으며, pH 및 초기균수에 따른 유의적인 차이는 없었으므로 (P>0.05), k와 온도와의 관계식인 square root model로 나타내었다. Square root model: $${\sqrt{k}\;0.06(T-9.55)[1-\exp(0.07(T-49.98))]$$ V. parahaemolyticus의 경우, square root model에 의한 실험치와 예측치의 상관계수는 0.977로 polynomial model보다 높은 적용성을 나타내었다.

모형식품의 리올로지 특성 (Rheological Properties of Gelatinized Model Foods)

  • 천기철;박영덕;장규섭
    • 농업과학연구
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    • 제22권1호
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    • pp.103-109
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    • 1995
  • 단백질과 전분을 각 성분비로 조합하고, 고형물 함량 8, 9, 10, 11%로 조정한 시료를 $80^{\circ}C$에서 30분간 가열한 후 $25^{\circ}C$로 냉각하여, 온도 $30{\sim}60^{\circ}C$, 0.6 ~ 6 rpm의 범위에서 Brookfield 단원통회전점도계로 리올로지 특성을 측정하였는 바, 아래와 같은 결과를 얻었다. 1. 모델 식품 $P_1S_3$, $P_1S_2$, $P_1S_1$, $P_2S_1$, $P_3S_1$, $P_4S_0$는 모두 의가소성을 나타내고, 항복치를 가지며, 시간 의존성 구조 붕괴를 나타내는 thixotropic 식품이었다. 그러나 $P_0S_4$, 즉 전분의 경우는 8~11% 범위에서 gel의 강도가 크기 때문에 유동성을 보이지 않았다. 2. 각 수분함량에서 모형식품의 단백질 함량에 따른 유통 특성값은 일정한 상관관계를 나타내지 않았다. 3. 전단속도에 대한 전단웅력의 변화는 전분질식품이 ($P_1S_3$, $P_1S_2$) 단백질식품($P_2S_1$, $P_3S_1$)보다 컸으며, 전단초기의 구조붕괴는 Tiu의 모델에 따라 2차 반응식으로 붕괴되었고, 전단속도가 증가 할 수록 구조 붕괴 속도도 빨랐다. 4. $P_1S_2$, $P_2S_1$의 온도의존성은 Arrhenius식에 잘 따랐으며 이때 활성화에너지는 각각 2.35, $1.34Kcal/g{\cdot}mole$이었다.

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Some limiting properties for GARCH(p, q)-X processes

  • Lee, Oesook
    • Journal of the Korean Data and Information Science Society
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    • 제28권3호
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    • pp.697-707
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    • 2017
  • In this paper, we propose a modified GARCH(p, q)-X model which is obtained by adding the exogenous variables to the modified GARCH(p, q) process. Some limiting properties are shown under various stationary and nonstationary exogenous processes which are generated by another process independent of the noise process. The proposed model extends the GARCH(1, 1)-X model studied by Han (2015) to various GARCH(p, q)-type models such as GJR GARCH, asymptotic power GARCH and VGARCH combined with exogenous process. In comparison with GARCH(1, 1)-X, we expect that many stylized facts including long memory property of the financial time series can be explained effectively by modified GARCH(p, q) model combined with proper additional covariate.

Prediction of short-term algal bloom using the M5P model-tree and extreme learning machine

  • Yi, Hye-Suk;Lee, Bomi;Park, Sangyoung;Kwak, Keun-Chang;An, Kwang-Guk
    • Environmental Engineering Research
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    • 제24권3호
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    • pp.404-411
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    • 2019
  • In this study, we designed a data-driven model to predict chlorophyll-a using M5P model tree and extreme learning machine (ELM). The Juksan weir in the Youngsan River has high chlorophyll-a, which is the primary indicator of algal bloom every year. Short-term algal bloom prediction is important for environmental management and ecological assessment. Two models were developed and evaluated for short-term algal bloom prediction. M5P is a classification and regression-analysis-based method, and ELM is a feed-forward neural network with fast learning using the least square estimate for regression. The dataset used in this study includes water temperature, rainfall, solar radiation, total nitrogen, total phosphorus, N/P ratio, and chlorophyll-a, which were collected on a daily basis from January 2013 to December 2016. The M5P model showed that the prediction model after one day had the highest performance power and dropped off rapidly starting with predictions after three days. Comparing the performance power of the ELM model with the M5P model, it was found that the performance power of the 1-7 d chlorophyll-a prediction model was higher. Moreover, in a period of rapidly increasing algal blooms, the ELM model showed higher accuracy than the M5P model.

웹 3.0에서의 메타버스 플랫폼 발전 방향에 대한 연구: P2E, C2E 모델을 중심으로 (A Study on the Development of Game Platform in Web 3.0: Focused on P2E, C2E Models)

  • 문효원;임선빈;양희동
    • 한국IT서비스학회지
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    • 제22권1호
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    • pp.75-93
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    • 2023
  • The game industry has grown not only by combining them with various technologies also introducing new types of business models such as P2P, F2P, and P2W. Furthermore, games which implemented X2E model with blockchain technology are recently in the spotlight of the public attention. As domestic game companies have also prospect the blockchain games feasible, they are seeking ways to expand their global market share by strengthening the X2E model. Hence, by carrying this new business model out, it is expected to diversify their global revenue stream, which was previously confined to Asia region. This study analyzed the case of companies that have implemented the P2E and C2E models in order to suggest the direction of development for the game platform in Web 3.0 era. The cases of P2E game platform, which constitute of Axie Infinity and Mir 4, encompass the compensation structure, the stabilization mechanism of the in-game token economy, and future strategies regarding blockchain gaming. Likewise, the platform structure, business model, and future growth potential was discussed in terms of C2E scheme, focusing on the ZEPETO and Roblox cases. Based on the above case analysis, this study attempted to provide information on the current limitations and development directions of the P2E and C2E platforms. The current limitations in legal and industrial aspects should be addressed to facilitate the blooming of blockchain and P2E game industry. In addition, the necessity of not only social support also improvement on the technology and social stigma of full-time creators is ought to be emphasized in an effort to encourage the development of C2E platforms.

Impacts of post-mortem ageing prior to freezing on technological and oxidative properties of coarse ground lamb sausage in a model system

  • Choe, Juhui;Kim, Hyun-Wook;Farouk, Mustafa M.;Kim, Yuan H. Brad
    • Asian-Australasian Journal of Animal Sciences
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    • 제30권7호
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    • pp.1021-1028
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    • 2017
  • Objective: The objective of this study was to evaluate the effects of ageing time of lamb loins prior to freezing on technological characteristics and oxidation stability of coarse ground lamb loin sausage using in a model system. Methods: Lamb loins (M. longissimus lumborum, n = 25) were aged at $-1.5^{\circ}C$ for 0, 1, 2, 3, and 8 wk and then frozen for the remaining days (a total of 30 wk). The aged/frozen/thawed lamb loins were ground, and model sausages were formulated with 75% aged/frozen/thawed lamb loin, 25% water, 1.5% sodium chloride (NaCl) and 0.3% sodium tripolyphosphate. The pH and thaw/purge loss of aged/frozen/thawed lamb loins were evaluated, and protein functionality (protein solubility and emulsifying capacity), water-holding capacity and textural properties of model sausages were determined. Cooked model sausages were vacuum-packaged in a plastic bag and displayed under continuous fluorescent natural white light ($3^{\circ}C{\pm}1^{\circ}C$). Colour and lipid oxidation of the cooked model sausages were evaluated on 0 and 21 d of display storage. Results: Ageing prior to freezing had no impact on pH and purge/thaw loss of lamb loins and the colour of cooked sausages (p>0.05) made from the loins. Lamb loins aged for at least 3 wk prior to freezing numerically improved total and myofibrillar protein solubilities (p>0.05) and emulsion activity index (p = 0.009) of meat batter, but decreased cooking loss (p = 0.003) and lipid oxidation (p<0.05) of model sausages. Conclusion: This study suggests that post-mortem ageing of raw meat prior to freezing could improve water-holding capacity and lipid oxidative stability of sausage made from the meat.

골내 임프란트를 이용한 고정성 국소의치 하에서 변위 및 응력에 관한 유한요소법적 분석 (FINITE ELEMENT ANALYSIS OF STRESSES AND DEFLECTIONS INDUCED BY FIXED PARTIAL DENTURE USING ENDOSTEAL IMPLANT)

  • 최수호;정재헌
    • 대한치과보철학회지
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    • 제29권1호
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    • pp.233-248
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    • 1991
  • The purpose of this study was to qunatatively analyze the stress patterns induced in the abutment, superstructure, supporting bone and to determine the deflection of abutment and superstructure by appling occlusal force to natural teeth supported fixed prostheses and implant-supported fixed prostheses. The analysis has been conducted by using the two dimensional finite element method. The implant and natural tooth-supported bridge has a first molar pontic supported by mandibular second bicuspid and implant posterior retainer, which were rigidly(Model A) or flexible(Model B). The natural teeth-supported bridge has a first molar pontic supported by mandibular second bicuspid and second molar, which were rigidly splinted together(Model C). 63.5kg(Load P1) of localized load on central fossa of first molar pontic and 24kg(Load P2) of distributed load on each occlusal surface were applied respectively. 1. The coronal portion of premolar pontic and posterior abutment in fixed partial denture deflected inferiorly in order of Model B, Model C and Model A under Load P1 and Load P2. 2. Mesial displacement of the coronal portion of premolar showed in Model A, Model B and Model C under Load P1, but mesial displacement of that in Model B and distal displacement of that in Model A and Model C showed under Load P2. 3. Mesial displacement of the coronal portion of the pontic and distal displacement of the coronal portion of posterior abutment showed in Model A, Model B and Model C under Load P1 and Load P2. Displacement in the case of Model B was greater than that of Model A and Model C. 4. In the case Model A under Load P1 and Load P2, high stress apically was concentrated in the mesiocervical portion of the posterior abutment than in the disto-cervical portion of the premolar. 5. In the case of Model B under Load P1 and Load P2 high stress was concentrated in the case of the premolar than in that of posterior abutment and high stress especially was concentrated in the connected portion of pontic and posterior abutment. 6. In the case of Model C under Load P1 and Load P2, high stress was concentrated in the distal area of the cornal portion of premolar and the mesial area of the coronal portion of posterior abutment, and stress pattern was anteroposterially symmetric around the pontic. 7. Load P1 and Load P2 compared, stress magnitude was different but stress pattern was similar in Model A, Model B and Model C. 8. Under Load P1 and P2, stress magnitude in the mesial distal portion and the portion of root apex of the posterior abutment was in order of Model B, Model A and Model C.

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Prediction Models of P-Glycoprotein Substrates Using Simple 2D and 3D Descriptors by a Recursive Partitioning Approach

  • Joung, Jong-Young;Kim, Hyoung-Joon;Kim, Hwan-Mook;Ahn, Soon-Kil;Nam, Ky-Youb;No, Kyoung-Tai
    • Bulletin of the Korean Chemical Society
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    • 제33권4호
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    • pp.1123-1127
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    • 2012
  • P-gp (P-glycoprotein) is a member of the ATP binding cassette (ABC) family of transporters. It transports many kinds of anticancer drugs out of the cell. It plays a major role as a cause of multidrug resistance (MDR). MDR function may be a cause of the failure of chemotherapy in cancer and influence pharmacokinetic properties of many drugs. Hence classification of candidate drugs as substrates or nonsubstrate of the P-gp is important in drug development. Therefore to identify whether a compound is a P-gp substrate or not, in silico method is promising. Recursive Partitioning (RP) method was explored for prediction of P-gp substrate. A set of 261 compounds, including 146 substrates and 115 nonsubstrates of P-gp, was used to training and validation. Using molecular descriptors that we can interpret their own meaning, we have established two models for prediction of P-gp substrates. In the first model, we chose only 6 descriptors which have simple physical meaning. In the training set, the overall predictability of our model is 78.95%. In case of test set, overall predictability is 69.23%. Second model with 2D and 3D descriptors shows a little better predictability (overall predictability of training set is 79.29%, test set is 79.37%), the second model with 2D and 3D descriptors shows better discriminating power than first model with only 2D descriptors. This approach will be used to reduce the number of compounds required to be run in the P-gp efflux assay.

확률분포모형을 이용한 하루살이속(Ephemera) 4종에 대한 화학적 수질 적합도지수 평가 (Estimation on Chemical Water Quality Suitability Index for 4 Species of the Mayfly Genus Ephemera (Ephemeroptera: Ephemeridae) Using Probability Distribution Models)

  • 정봉준;공동수
    • 한국물환경학회지
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    • 제39권6호
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    • pp.475-490
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    • 2023
  • Chemical water quality suitability for species (Ephemera strigata, Ephemera separigata, and Ephemera orientalis-sachalinensis group) of the mayfly genus Ephemera (Order Ephemeroptera) was analyzed with probability distribution models (Exponential, Normal, Lognormal, Logistic, Weibull, Gamma, Beta, Gumbel). Data was collected from 23,957 sampling units of 6,664 sites in Korea from 2010 to 2021. E. orientalis-sachalinensis occurred at the range of BOD5 0.3~11.1 mg/L (the best-fit Lognormal model); T-P 0.007~0.769 mg/L (the Gumbel model); TSS 0.4~142.2 mg/L (the Lognormal model). E. strigata occurred at the range of BOD5 0.4~7.4 mg/L (the Gumbel model); T-P 0.007~0.254 mg/L (the Lognormal model); TSS 0.4~17.1 mg/L (the Lognormal model). E. separigata occurred at the range of BOD5 0.4~2.6 mg/L (the R-Weibull model); T-P 0.007~0.134 mg/L (the Lognormal model); TSS 0.7~10.0 mg/L (the Lognormal model). Habitat suitability range of E. orientalis-sachalinensis was estimated to be 0.4~1.9 mg/L (BOD5), 0.024~0.086 mg/L (T-P), 2.5~22.4 mg/L (TSS); that of E. strigata was 0.4~0.7 mg/L (BOD5), 0.007~0.018 mg/L (T-P), 0.0~1.7 mg/L (TSS); that of E. separigata was 0.0~0.4 mg/L (BOD5), 0.000~0.015 mg/L (T-P), 0.5~3.1 mg/L (TSS). In a relative comparision, E. orientalis-sachalinensis was estimated to be eurysaprobic, and narrowly adapted in high levels of T-P and TSS, E. strigata was estimated to be oligosaprobic and adapted in low levels of T-P and TSS, and E. separigata was estimated to be stenooligosaprobic and widely adapted in low level of T-P and TSS.

농업 비점오염원 평가를 위한 SWAT-APEX 모델의 적용성 검토 (The Applicability of SWAT-APEX Model for Agricultural Nonpoint Source Pollution Assessment)

  • 정충길;박종윤;이지완;정혁;김성준
    • 한국농공학회논문집
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    • 제53권5호
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    • pp.35-42
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    • 2011
  • This study is to check the applicability of SWAT-APEX (Soil and Water Assessment Tool-Agricultural Policy / Environmental eXtender) model as combined watershed and field models by applying the APEX to paddies in a watershed (465.1 $km^2$) including Yedang reservoir. Firstly, the SWAT were calibrated with 3 years (2000~2002) daily streamflow and monthly water quality (T-N and T-P) data, and validated for another 3 years (2003~2005) data. The average Nash-Sutcliffe model efficiency (ME) of streamflow during validation was 0.73, and the coefficient of determination ($R^2$) of T-N and T-P were 0.77 and 0.73 respectively. Next, running the SWAT-APEX model with the SWAT calibrated parameters for paddies, the $R^2$ of T-N and T-P were 0.80 and 0.76 respectively. The results showed that SWAT-APEX model was more correctly predicted for T-N and T-P loads than SWAT model. The difference results between watershed and field models was predicted to have substantial impact on NPS loads, especially on T-N and T-P loads. Therefore, to improve negative NPS load simulations should be considered the model characteristics as simulating mechanism to properly select the NPS model for agricultural watershed.