• 제목/요약/키워드: Growth Mixture Model

검색결과 113건 처리시간 0.026초

흰쥐의 소장 점막 세포의 성장에 미치는 Glutamine, Glycine과 Nucleosides/Nucleotide 혼합물의 효과 (Effects of Glutamine, Glycine and Nucleosides/Nucleotide Mixture on Intestinal Mucosal Growth in Rats)

  • 이선영;오현인
    • 한국식품영양과학회지
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    • 제26권1호
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    • pp.130-136
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    • 1997
  • 250g내외의 횐쥐에게 Thiry-Vella fistula를 만든 후 수술과 비경구 영양 효과로 인하여 위축되는 소장의 누공에 각각 nucleosides/nucleotide혼합용액 (Nuc군)이나 glutamine(Gln군), glycine(Gly군)등을 투여하여 소장 점막의 위축 방지나 재생효과가 있는지를 알아보고 자 실험하여 다음과 같은 결과를 얻었다. Thiry-Vella fistula 시술 후 9일 동안 2일에 한 번씩 총 4회 소장 누공으로 주입한 이미노산들과 nucleosides/nucleotide 혼합물의 효과는 누공의 소장 점막에 미치는 직접적인 효과와 비누공 부분에 대한 간접적인 효과로 나누어 볼 수 있다. Nucleosides/nucleotide 혼합물은 소장 누공으로 주입되어 직접 접촉되는 부분의 소장 DNA함량을 유의적으로 증가 시켰으며 단백질 함량도 높은 수치를 보여 주었고 조직 검사 결과 소장 융모의 길이와 표면적을 증가시킨 것으로 나타났다. 그러나 [$^3$H] thymidine incorporation의 결과는 대조군과 유의적인 차이를 보이지 않았다. Glycine은 소장 단백질과 DNA에 있어서 대조군보다는 높고 Nuc군보다는 낮은 경향을 보여 주었으나 [$^3$H]-thymidine incorporation은 누공과 비누공부분에서 모두 가장 높게 나타났으며 특히 비누공부분에서는 유의적으로 증가되어 있었다. Glutamine의 효과는 glycine 투여 효과와 비슷하거나 오히려 떨어지는 것으로 나타났다.

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사회적기업 성과의 종단적 유형화 (A Longitudinal Study of Social Enterprises' Performances)

  • 권소일;조상미
    • 사회복지연구
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    • 제49권3호
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    • pp.209-245
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    • 2018
  • 본 연구는 인증 사회적기업의 경제적 사회적 성과지표를 활용하여 유형화를 시도하고, 통계적 적합도 지수를 통해 성과별 유의한 잠재유형을 탐색하는 것이 목적이며, 성과 유형간 조합을 분석하였다. 연구대상은 조상미 외(2011) 연구에 참여한 사회적기업 중 현재까지 운영되고 있는 기업이며 2011년 이후 6년간의 성과를 조사하여 분석하였다. 사회적기업의 경제적 성과인 매출액의 변화유형을 탐색한 결과 잠재유형이 세 개인 최적 모형을 도출하였으며 '매출성숙형', '매출증가형', '매출평균형'으로 명명하였다. 이때 매출평균형이 가장 많은 분포를 보이며, 운영기간이 타유형에 비해 짧은 것으로 나타났다. 사회적 성과인 취약계층고용율의 경우 세계의 최적모형이 탐색되었다, '고용평균형', '고용감소형', '고용증가형'으로 분류되었다. 사회적 성과는 고용평균형이 가장 많이 나타났으며, 다른 유형에 비해 매출액이 높은 것이 특징이다. 또한 사회적기업 경제적 성과의 변화유형에 따른 사회적 성과 변화유형의 분포인 $3{\times}3$의 교차유형을 살펴보았다. 교차유형에서는 '매출평균형 고용평균형', '매출평균 고용감소형'이 주를 이룬다. 이를 통해 사회적기업의 유형의 특징을 알아보고 지원 제도의 현실성 제고를 위한 정책 제안과 실행에 있어 필요한 시사점을 제시하였다.

희박연소 및 EGR 엔진에서 초기 화염액 생성 및 성장에 관한 연구 (A Study on the Kernel Formation & Development for Lean Burn and EGR Engine)

  • 송정훈;선우명호
    • 한국자동차공학회논문집
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    • 제7권8호
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    • pp.24-33
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    • 1999
  • This paper investigate the effects of the variations of engine operation condition in the flame kernel formation and developmnet . A model for calculating the initial kernel development in spark ignition engines is formualted. It considered input of electrical energy, combustion energy release and heat transfer to the spark plyg, cylinder head, and unburned mixture. The model also takes into accounts strain rate of initial kernel and residual gas fraction. The breakdown process and the subsequent electrical power input initially control the kernel growth while intermediate growth is mainly dominated by diffusion or conduction. Then, the flame propagates by the chemical energy and turbulent flame expansion. Flame kernel development also influenced by engine operating conditions, for example, EGR rate, air-fuel ration and intake manifold pressure.

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Evolution of China's Economy and Monetary Policy: An Empirical Evaluation Using a TVP-VAR Model

  • Kim, Seewon
    • East Asian Economic Review
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    • 제25권1호
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    • pp.73-97
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    • 2021
  • China has experienced many structural changes in the process of economic development over the past three decades. Using a time-varying parameter VAR model with stochastic volatility and mixture innovations, this study investigates whether such structural changes in, especially tools and operational aims of monetary policy, affect the monetary transmission mechanism. We find that impulse responses of output growth and inflation to monetary shocks have substantially increased and then reversed to decrease around 2005-2006. This time variation is mainly caused by changes in the monetary transmission mechanism, i.e., the manner in which main macroeconomic variables respond to policy shocks, rather than by changes in volatilities of exogenous shocks. The result implies that aggressive monetary policy to facilitate economic growth in the developing economies may be legitimized, unless it causes inflation seriously.

Object Detection Based on Deep Learning Model for Two Stage Tracking with Pest Behavior Patterns in Soybean (Glycine max (L.) Merr.)

  • Yu-Hyeon Park;Junyong Song;Sang-Gyu Kim ;Tae-Hwan Jun
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2022년도 추계학술대회
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    • pp.89-89
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    • 2022
  • Soybean (Glycine max (L.) Merr.) is a representative food resource. To preserve the integrity of soybean, it is necessary to protect soybean yield and seed quality from threats of various pests and diseases. Riptortus pedestris is a well-known insect pest that causes the greatest loss of soybean yield in South Korea. This pest not only directly reduces yields but also causes disorders and diseases in plant growth. Unfortunately, no resistant soybean resources have been reported. Therefore, it is necessary to identify the distribution and movement of Riptortus pedestris at an early stage to reduce the damage caused by insect pests. Conventionally, the human eye has performed the diagnosis of agronomic traits related to pest outbreaks. However, due to human vision's subjectivity and impermanence, it is time-consuming, requires the assistance of specialists, and is labor-intensive. Therefore, the responses and behavior patterns of Riptortus pedestris to the scent of mixture R were visualized with a 3D model through the perspective of artificial intelligence. The movement patterns of Riptortus pedestris was analyzed by using time-series image data. In addition, classification was performed through visual analysis based on a deep learning model. In the object tracking, implemented using the YOLO series model, the path of the movement of pests shows a negative reaction to a mixture Rina video scene. As a result of 3D modeling using the x, y, and z-axis of the tracked objects, 80% of the subjects showed behavioral patterns consistent with the treatment of mixture R. In addition, these studies are being conducted in the soybean field and it will be possible to preserve the yield of soybeans through the application of a pest control platform to the early stage of soybeans.

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파프리카에서 병원성 대장균의 성장예측 모델 개발 및 검증 (Development and Validation of Predictive Models of Esherichia coli O157:H7 Growth in Paprika)

  • 윤혜정;김주희;박경훈;류경열;김병석
    • 한국식품위생안전성학회지
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    • 제28권2호
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    • pp.168-173
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    • 2013
  • 본 연구는 신선편이 식품에서 오염 가능성이 있는 병원성 식중독 균 E. coli O157:H7에 대해 파프리카에서 성장 예측 모델을 적용하고, 본 연구에서 개발된 성장 예측 모델을 내부 검증하였다. 이를 비교하여 신선편이 식품을 안전하게 관리하기 위한 적절한 모델을 제시하고자 하였다. 파프리카에 E. coli O157:H7접종하여 온도에 따라 12, 24, 30, $36^{\circ}C$에 보관하여 성장을 측정하였다. Gompertz 식을 이용하여 온도에 따른 성장곡선을 그리고 LT와 SGR을 산출하였다. 산출된 LT와 SGR은 각각 Davey model와 squareroot model를 이용하여 2차 모델을 개발하였다. 개발된 2차 모델에 대하여 LT와 SGR model의 $R^2$값은 각각 0.999, 0.994로 1에 근접하는 높은 적합성을 보였다. 또한 내부 검정 결과 LT와 SGR model의 Bf 값은 각각 1.01, 0.89, LT model은 안전하게 SGR model 위험하게 예측되었다. 파프리카의 LT와 SGR의 상대적인 오차 값은 모두 허용 가능한 오차 범위에 포함 되었다. 따라서 개발된 모델을 이용하여 온도에 따른 E. coli O157:H7성장을 추정할 수 있으며, 이를 위해평가 자료로 활용할 수 있을 것으로 보인다.

Evaluation of Salmonella Growth at Low Concentrations of NaNO2 and NaCl in Processed Meat Products Using Probabilistic Model

  • Gwak, E.;Lee, H.;Lee, S.;Oh, M-H.;Park, B-Y.;Ha, J.;Lee, J.;Kim, S.;Yoon, Y.
    • Asian-Australasian Journal of Animal Sciences
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    • 제29권7호
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    • pp.1013-1021
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    • 2016
  • This study developed probabilistic models to predict Salmonella growth in processed meat products formulated with varying concentrations of NaCl and $NaNO_2$. A five-strain mixture of Salmonella was inoculated in nutrient broth supplemented with NaCl (0%, 0.25%, 0.5%, 0.75%, 0.5%, 1.0%, 1.25%, and 1.75%) and $NaNO_2$ (0, 15, 30, 45, 60, 75, 90, 105, and 120 ppm). The inoculated samples were then incubated under aerobic and anaerobic conditions at $4^{\circ}C$, $7^{\circ}C$, $10^{\circ}C$, $12^{\circ}C$, and $15^{\circ}C$ for up to 60 days. Growth (assigned the value of 1) or no growth (assigned the value of 0) for each combination was evaluated by turbidity. These growth response data were analyzed with a logistic regression to evaluate the effect of NaCl and $NaNO_2$ on Salmonella growth. The results from the developed model were compared to the observed data obtained from the frankfurters to evaluate the performance of the model. Results from the developed model showed that a single application of $NaNO_2$ at low concentrations did not inhibit Salmonella growth, whereas NaCl significantly (p<0.05) inhibited Salmonella growth at $10^{\circ}C$, $12^{\circ}C$, and $15^{\circ}C$, regardless of the presence of oxygen. At $4^{\circ}C$ and $7^{\circ}C$, Salmonella growth was not observed in either aerobic or anaerobic conditions. When $NaNO_2$ was combined with NaCl, the probability of Salmonella growth decreased. The validation value confirmed that the performance of the developed model was appropriate. This study indicates that the developed probabilistic models should be useful for describing the combinational effect of $NaNO_2$ and NaCl on inhibiting Salmonella growth in processed meat products.

이성분 혼합액의 방향성 응고에서 자연 대류 (Natural Convection During Directional Solidification of a Binary Mixture)

  • 황인국;최창균
    • Korean Chemical Engineering Research
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    • 제47권2호
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    • pp.174-178
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    • 2009
  • 이성분 혼합물의 응고중에 수지상 결정으로 이루어진 mush 층이 형성될 수 있다. 본 연구진이 개발한 전파이론으로 mush 층에서 성분적 대류의 발생을 해석하였다. Emms와 Fowler의 모델로부터 유도한 자기유사 안정성 방정식을 사용하여 대류 발생에 대한 임계 Rayleigh 수를 수치방법으로 계산하였다. 과열량이 아주 크거나 mush 층의 성장률이 아주 작은 극한의 경우에 본 연구 결과는 준정적 안정성 해석 결과와 같아진다.

Holographic Polymer-Dispersed Liquid Crystals and Polymeric Photonic Crystals Formed by Holographic Photolithography

  • Kyu Thein;Meng Scott;Duran Hatice;Nanjundiah Kumar;Yandek Gregory R.
    • Macromolecular Research
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    • 제14권2호
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    • pp.155-165
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    • 2006
  • The present article describes the experimental and theoretical observations on the formation of holographic, polymer-dispersed, liquid crystals and electrically switchable, photonic crystals. A phase diagram of the starting mixture of nematic liquid crystal and photo-reactive triacrylate monomer was established by means of differential scanning calorimetry (DSC) and cloud point measurement. Photolithographic patterns were imprinted on the starting mixture of LC/triacrylate via multi-beam interference. A similar study was extended to a dendrimer/photocurative mixture as well as to a single component system (tetra-acrylate). Theoretical modeling and numerical simulation were carried out based on the combination of Flory-Huggins free energy of mixing and Maier-Saupe free energy of nematic ordering. The combined free energy densities were incorporated into the time-dependent Ginzburg-Landau (Model C) equations coupled with the photopolymerization rate equation to elucidate the spatio-temporal structure growth. The 2-D photonic structures thus simulated were consistent with the experimental observations. Furthermore, 3-D simulation was performed to guide the fabrication of assorted photonic crystals under various beam-geometries. Electro-optical performance such as diffraction efficiency was evaluated during the pattern photopolymerization process and also as a function of driving voltage.

Genomic partitioning of growth traits using a high-density single nucleotide polymorphism array in Hanwoo (Korean cattle)

  • Park, Mi Na;Seo, Dongwon;Chung, Ki-Yong;Lee, Soo-Hyun;Chung, Yoon-Ji;Lee, Hyo-Jun;Lee, Jun-Heon;Park, Byoungho;Choi, Tae-Jeong;Lee, Seung-Hwan
    • Asian-Australasian Journal of Animal Sciences
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    • 제33권10호
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    • pp.1558-1565
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    • 2020
  • Objective: The objective of this study was to characterize the number of loci affecting growth traits and the distribution of single nucleotide polymorphism (SNP) effects on growth traits, and to understand the genetic architecture for growth traits in Hanwoo (Korean cattle) using genome-wide association study (GWAS), genomic partitioning, and hierarchical Bayesian mixture models. Methods: GWAS: A single-marker regression-based mixed model was used to test the association between SNPs and causal variants. A genotype relationship matrix was fitted as a random effect in this linear mixed model to correct the genetic structure of a sire family. Genomic restricted maximum likelihood and BayesR: A priori information included setting the fixed additive genetic variance to a pre-specified value; the first mixture component was set to zero, the second to 0.0001×σ2g, the third 0.001×σ2g, and the fourth to 0.01×σ2g. BayesR fixed a priori information was not more than 1% of the genetic variance for each of the SNPs affecting the mixed distribution. Results: The GWAS revealed common genomic regions of 2 Mb on bovine chromosome 14 (BTA14) and 3 had a moderate effect that may contain causal variants for body weight at 6, 12, 18, and 24 months. This genomic region explained approximately 10% of the variance against total additive genetic variance and body weight heritability at 12, 18, and 24 months. BayesR identified the exact genomic region containing causal SNPs on BTA14, 3, and 22. However, the genetic variance explained by each chromosome or SNP was estimated to be very small compared to the total additive genetic variance. Causal SNPs for growth trait on BTA14 explained only 0.04% to 0.5% of the genetic variance Conclusion: Segregating mutations have a moderate effect on BTA14, 3, and 19; many other loci with small effects on growth traits at different ages were also identified.