• Title/Summary/Keyword: 3P 모델

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Application of Flat DMT and ANN for Reliable Estimation of Undrained Shear Strength of Korean Soft Clay (국내 연약지반의 신뢰성있는 비배수 전단강도 추정을 위한 flat DMT와 인공신경망 이론의 적용)

  • 변위용;김영상;이승래;정은택
    • Journal of the Korean Geotechnical Society
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    • v.20 no.5
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    • pp.17-25
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    • 2004
  • The flat dilatometer test (DMT) is a geotechnical tool to estimate in-situ properties of various types of ground materials. The undrained shear strength is known to be the most reliable and useful parameter obtained by DMT. However, the existing relationships which were established for other local deposits depend on the regional geotechnical characteristics. In addition, the flat dilatometer test results have been interpreted using three intermediate indices - material index $(I_D)$, horizontal stress index $(K_D)$, and dilatometer modulus (E$_{D}$) and the undrained shear strength has been estimated merely using the horizontal stress index $(K_D)$. In this paper, the applicability of the flat dilatometer to Korean soft clay deposit has been investigated. Then an artificial neural network was developed to evaluate the undrained shear strength by DMT and the ANN, based on the $p_0, p_1, p_2, {\sigma '}_v$ and porewater pressure. The ANN which adopts the back-propagation algorithm was trained based on the DMT data obtained from Korean soft clay. To investigate the feasibility of ANN model, the prediction results obtained from data which were not used to train the ANN and those obtained from existing relationships were compared.

Comparative Inactivation of Hepatitis A Virus and Murine Encephalomyocarditis Virus to Various Inactivation Processes (바이러스 불활화 공정에 대한 Hepatitis A Virus와 Murine Encephalomyocarditis Virus의 민감도 비교)

  • Kim, In-Seop
    • Korean Journal of Microbiology
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    • v.39 no.4
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    • pp.242-247
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    • 2003
  • Murine encephalomyocarditis virus (EMCV) has been used as a surrogate for hepatitis A virus (HAV) for the validation of virus removal and/or inactivation during the manufacturing process of biopharmaceuticals. Recently international regulation for the validation of HAV safety has been reinforced because of the reported cases of HAV transmission to hemophiliac patients who had received ntihemophilic factors prepared from human plasma. The purpose of the present study was to compare the resistance of HAV and EMCV to various viral inactivation processes and then to standardize the HAV validation method. HAV was more resistant than EMCV to pasteurization (60oC heat treatment for 10 hr), low pH incubation (pH 3.9 at 25oC for 14 days), 0.1 M NaOH treatment, and lyophilization. EMCV was completely inactivated to undetectable levels within 2 hr of pasteurization, however, HAV was completely inactivated to undetectable levels after 5 hr treatment. EMCV was completely inactivated to undetectable levels within 15 min of 0.1 M NaOH treatment, however, residual infectivity of HAV still remained even after 120 min of treatment. The log reduction factors achieved during low pH incubation were 1.63 for HAV and 3.84 for EMCV. Also the log reduction factors achieved during a lyophilization process of antihemophilic factor VIII were 1.21 for HAV and 4.57 for EMCV. These results indicate that HAV rather than EMCV should be used for the virus validation study and the validation results obtained using EMCV should be precisely reviewed.

Effect of the Methylation of Amine Groups on Polysulfone-Escherichia Coli Biomass Composite Fiber for Removal of Basic Dye (Polysulfone-Escherichia Coli Biomass Composite Fiber에서 아민기의 메틸화가 염기성 염료의 제거에 미치는 영향)

  • Park, Ha Neul;Choi, Han A;Kim, Sok;Yun, Yeoung-Sang;Won, Sung Wook
    • Clean Technology
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    • v.21 no.3
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    • pp.164-170
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    • 2015
  • In this study, polysulfone-Escherichia coli biomass composite fiber (PSBF) was prepared by spinning the suspension of PS and E. coli biomass and amine-methylated PSBF (AM-PSBF) was fabricated through the methylation of amine groups in PSBF. As comparing the adsorption characteristics of basic dye, Basic Blue 3 (BB3) by the PSBF and AM-PSBF, the effect of the methylation of amine groups on BB3 adsorption was confirmed. pH edge experiments showed that the BB3 uptake of PSBF and AM-PSBF increased as pH was increased and the BB3 uptake of AM-PSBF was higher than that of PSBF at the same pH. Both of PSBF and AM-PSBF was reached at equilibrium within 5 h and kinetic experimental data were well fitted by the pseudo-first-order kinetic model. By the Langmuir model, the maximum adsorption capacities of PSBF and AM-PSBF at pH 8 were evaluated to be 28.9 and 20.7 mg/g, respectively. The maximum adsorption capacity of AM-PSBF was enhanced 1.4 times comparing that of PSBF. These results indicate that the methylation of amine groups in PSBF leads to the improvement of BB3 adsorption capacity. In addition, the results of desorption experiments revealed that AM-PSBF was repeatedly reusable.

Data-centric XAI-driven Data Imputation of Molecular Structure and QSAR Model for Toxicity Prediction of 3D Printing Chemicals (3D 프린팅 소재 화학물질의 독성 예측을 위한 Data-centric XAI 기반 분자 구조 Data Imputation과 QSAR 모델 개발)

  • ChanHyeok Jeong;SangYoun Kim;SungKu Heo;Shahzeb Tariq;MinHyeok Shin;ChangKyoo Yoo
    • Korean Chemical Engineering Research
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    • v.61 no.4
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    • pp.523-541
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    • 2023
  • As accessibility to 3D printers increases, there is a growing frequency of exposure to chemicals associated with 3D printing. However, research on the toxicity and harmfulness of chemicals generated by 3D printing is insufficient, and the performance of toxicity prediction using in silico techniques is limited due to missing molecular structure data. In this study, quantitative structure-activity relationship (QSAR) model based on data-centric AI approach was developed to predict the toxicity of new 3D printing materials by imputing missing values in molecular descriptors. First, MissForest algorithm was utilized to impute missing values in molecular descriptors of hazardous 3D printing materials. Then, based on four different machine learning models (decision tree, random forest, XGBoost, SVM), a machine learning (ML)-based QSAR model was developed to predict the bioconcentration factor (Log BCF), octanol-air partition coefficient (Log Koa), and partition coefficient (Log P). Furthermore, the reliability of the data-centric QSAR model was validated through the Tree-SHAP (SHapley Additive exPlanations) method, which is one of explainable artificial intelligence (XAI) techniques. The proposed imputation method based on the MissForest enlarged approximately 2.5 times more molecular structure data compared to the existing data. Based on the imputed dataset of molecular descriptor, the developed data-centric QSAR model achieved approximately 73%, 76% and 92% of prediction performance for Log BCF, Log Koa, and Log P, respectively. Lastly, Tree-SHAP analysis demonstrated that the data-centric-based QSAR model achieved high prediction performance for toxicity information by identifying key molecular descriptors highly correlated with toxicity indices. Therefore, the proposed QSAR model based on the data-centric XAI approach can be extended to predict the toxicity of potential pollutants in emerging printing chemicals, chemical process, semiconductor or display process.

Ecosystem Diagnosis and Evaluations Using Various Stream Ecosystem Models (다양한 하천생태모델을 이용한 생태계 진단 및 평가)

  • Kim, Ja-Hyun;Lee, Eui-Haeng;An, Kwang-Guk
    • Korean Journal of Ecology and Environment
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    • v.40 no.3
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    • pp.370-378
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    • 2007
  • The objective of this research was to diagnose integrative ecological health in Bansuk Stream, one of the tributaries of Gap Stream, using the fish assemblage during July 2006${\sim}$April 2006. For this research, we selected six sampling sites and applied some approaches such as the Index of Biological Integrity (IBI), Qualitative Habitat Evaluation Index (QHEI), and necropsy-based Health Assessment Index (HAI). The stream health condition, based on the IBI values, averaged 24 (n= 18, range: $10{\sim}46$), indicating "poor${\sim}$fair" condition according to the criteria of US EPA (1993). Physical habitat condition, based on the QHEI, averaged 116 (n=6, range: $77{\sim}139$), indicating "fair${\sim}$good" condition. Values of IBI were more correlated with 3 metrics of instream cover ($M_1$, r=0.553, p=0.017, n=18), flow/velocity ($M_3$, r=0.627, p=0.005, n=18), and riffes/bends ($M_7$, r=0.631, p=0.005, n=18) than other metrics. Value of HAI in the control was zero (i.e., excellent condition), while the values in the T1 and T2 treatments were 5 (range: 0${\sim}$30) and 50 (range: 40${\sim}$80), respectively. The maximum values of IBI (46) were coincided with zero of HAI. Thus, these approaches seem to be a good tool for a diagnosis and evaluations of stream ecosystem health.

HQSAR Analyses on the Tyrosinase Inhibitory Activity of Phenyl-2,2'-methylenebis(cyclohexane-1,3-dione) Analogues (Phenyl-2,2'-methylenebis(cyclohexane-1,3-dione) 유도체의 Tyrosinase 저해활성에 관한 HQSAR 분석)

  • Kim, Sang-Jin;Kim, Young-Ok;Cho, Yoon-Ki;Choi, Won-Seok;Sung, Nack-Do
    • Journal of the Society of Cosmetic Scientists of Korea
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    • v.36 no.3
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    • pp.199-205
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    • 2010
  • The structure-activity relationships (SARs) between a series of phenyl-2,2'-methylenebis(cyclohexane-1,3-dione) analogues (1-22) as substrate molecules and their inhibitory activity against tyrosinase were studied quantitatively using molecular hologram quantitative structure-activity relationships (HQSARs). Based on the results, new compounds with the increased tyrosinase inhibitory activity were designed. In addition, statistically favored E-2 model ($q_2$ = 0.564 & $r_2$ = 0.929) was derived. It is predicted that the activity of the most potent one (P1) of compounds newly designed by the optimized HQSAR E-2 model was $Pred.pI_{50}$ = 5.48 and the predicted inhibitory activity was about 13.4 fold higher than that of the kojic acid used as standard compound.

Optimization of the Preparation of Domestics Wheat Cookies by Addition of Red Radish (Raphanus sativus L.) Sprout Powder (어린잎 적양무가루를 첨가한 우리밀 쿠키의 제조조건 최적화)

  • Cheon, Chun Jin;Kim, Young-Ho;Oh, Jong Chul;Kim, Jin Kon;Yu, Hyeon Hee
    • Korean Journal of Food Science and Technology
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    • v.45 no.4
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    • pp.441-450
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    • 2013
  • The purpose of this study was optimization of the conditions for mixing different amounts of red radish (Raphanus sativus L.) sprout powder, butter, and sugar when baking domestic wheat cookies prepared using red radish sprout powder. Response surface methodology, with a central composite design comprising 5 levels and 3 variables, was used to identify the best possible combination of amounts of red radish sprout powder ($X_1$), butter ($X_2$), and sugar ($X_3$). The physical and mechanical properties of each of the 20 samples analyzed, including color L (p<0.001), color a (p<0.01), color b (p<0.001), spread ratio (p<0.001), and hardness (p<0.01), differed significantly. The results of sensory evaluations, including color (p<0.001), appearance (p<0.001), texture (p<0.001), flavor (p<0.01), taste (p<0.001), and overall quality (p<0.001) also differed significantly among the samples. The optimal compositional ratios were 5.15 g for the red radish sprout powder, 64.84 g for the butter, and 47.18 g for the sugar.

A Survey on Practices and Attitude toward Wedding Food among Housewives in Busan and Kyungnam Area (부산.경남지역 주부들의 혼례음식 관행과 태도에 관한 조사)

  • Kim, Kyong-Myo;Kim, Kyung-Ja;Shin, Ae-Sook
    • Journal of the Korean Society of Food Culture
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    • v.17 no.3
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    • pp.240-251
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    • 2002
  • This study is to describe practices of and attitude toward traditional wedding food and the attitude of housewives toward the traditional wedding food in Busan metropolitan and Kyungnam province area. Data were analyzed from the convenient sample of 525 housewives collected from September 20 to September 28, 2001. As for the necessity of traditional wedding food, the most popular food was ebagee food, pebaek food, yedan food in order. Of the various kinds of traditional wedding food, table setting for parent-in-law was chosen as the most popular one. Sociodemographic characteristics such as education level and age were statistically associated with perception of traditional wedding food being necessary as a ritual thing. The respondents preferred rice cakes as wedding food to fishes, fruits, traditional sweets and skewered slices of seasoned meats. More than half of the respondents think current practices of wedding food is prodigal and has to be done in thrifty manner. As a ritual practices of wedding food were to be readjusted to the change of social custom depending on the degree of modernization. More than half (52.1%) of the housewives expected traditional wedding food should fade away. A conclusion was that it is necessary to develop modernized wedding food reflecting traditional wedding customs with economic costs.

QSAR Modeling of Toxicant Concentrations(EC50) on the Use of Bioluminescence Intensity of CMC Immobilized Photobacterium Phosphoreum (CMC 고정화 Photobacterium phosphoreum 의 생체발광량을 이용한 독성농도(EC50)의 QSAR 모델)

  • 이용제;허문석;이우창;전억한
    • KSBB Journal
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    • v.15 no.3
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    • pp.299-306
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    • 2000
  • Concern for the effects of toxic chemicals on the environment leads the search for better bioassay test organisms and test procedures. Photobacterium phosphoreum was used successfully as a test organism and the luminometer detection technique was an effective and simple method for determining the concentration of toxic chemicals. With EC50 a total of 14 chlorine substituted phenols benzenes and ethanes were used for the experiments. The test results showed that the toxicity to P. phosphoreum increased in the order of phenol > benzene > ethane and the toxicity also increased with the number of chlorine substitution. Quantitative structure activity relationship (QSARO) model can be used to predict EC50 to save time and endeavor. Correlation was well established with the QSAR parameters such as log P, log S and solvatochromic parameter(Vi/100 $\pi$, ${\beta}$m and am). The QSAR modeling was used with multi-regression analysis and mono-regression analysis. These analyses resulted in the following QSAR : $log EC_{50} =2.48 + 0.914 log S(n=9 R2=85.5% RE=0.378) log EC_{50}=0.35 - 4.48 Vi/100 + 2.84 \pi^* +9.46{\beta}m-4.48am (n =14 R2=98.2% RE=0.012) log EC_{50} =2.64 -1.66 log P(n=5, R2=98.8% RE=0.16) log EC_{50}=3.44 -1.09 log P(n=9 R2= 80.8% Re=0.207)$

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Evaluation of Rheological Properties of Pork Myofibrillar Protein with Tapioca Starch and its Utilization to the Pork Model Sausages (타피오카 전분을 첨가한 돈육 근원섬유 단백질의 물성 특성 및 돈육 모델소시지에 이용)

  • Shon, Se-Ra;Chin, Koo-Bok
    • Food Science of Animal Resources
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    • v.32 no.3
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    • pp.323-329
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    • 2012
  • In order to investigate the rheological properties of myofibrillar protein (MP) mixed with tapioca starch (TS; 0, 1, and 2%) at various salt concentrations (0.1, 0.3, and 0.45 M), viscosity, gel strength, differential scanning calorimeter (DSC) and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) were measured. Viscosity of MP increased with increasing salt concentrations (p<0.05), but not with the addition of TS. The addition of TS improved gel strength and cooking yield at all salt concentrations (p<0.05). DSC results demonstrated that the starting peak of TS gelation was observed at $55^{\circ}C$, however, no differences in peak were observed with various salt and TS levels (p>0.05). SDS-PAGE profile also showed no differences in protein bands for pork myofibrillar protein with various salt and TS levels. Based on the model study, pork model sausages with various levels of tapioca (0, 1, and 2%) and TG (1%) were manufactured. The pork model sausages with 2% TS increased pH and water holding capacity (p<0.05), while those with TGase (1%) increased most textural properties, regardless of the addition of TS. Thus, the combination of 1% TG with 2% TS improved the gel strength and water holding capacity in the meat products.