• Title/Summary/Keyword: Profiling Model

Search Result 150, Processing Time 0.026 seconds

Cashew Nut Oil: Extraction, Chromatographic and Rheological Characterisation.

  • Vincent Okechuwku ANIDIOBU;Chioma Oluchi ANIDIOBU
    • The Korean Journal of Food & Health Convergence
    • /
    • v.9 no.4
    • /
    • pp.11-18
    • /
    • 2023
  • Oil was extracted from cashew nuts. The physicochemical parameters of the oil were determined. A chromatographic assay of the oil was carried out using Gas Chromatography-Mass Spectrometry. Seventeen compounds were detected: Phenol, Phenol 2-methyl-, Cyclohexene 4, 4-dimethyl-, m-Fluoro-2-diazoacetophenone 4-dimethyl-, Tetradecanoic acid, Phenol 4-octyl-, n-Hexadecanoic acid. Others are 9, 12-Octadecadienoic acid (Z, Z) - methyl ester, Hexadecanoic acid methyl ester, Methyl stearate, Dodecanoic acid methyl ester, 9, 12, 15-Octadecatrienoic acid methyl ester, 9, 12, 15-Octadecatrienoic acid (Z, Z, Z)-, Oleic acid, Octadecanoic acid, Tetracosanoic acid and 9-Octadecenoic acid methyl ester. Among the components are omega three and omega six essential free fatty acids. The rheological profiling and flow properties of cashew nut oil were determined using a Programmable Rheometer. Cashew nut oil exhibits slight dilatant behaviour at the low end of shear rate. The long chain and high molecular weight of its constituents controlled its rheology. Long-chained 9-Octadecenoic acid methyl ester, 9, 12-Octadecadienoic acid (Z, Z) - methyl ester, Tetracosanoic acid and methyl stearate, coupled with their high molecular weights are responsible for the shear thickening effect observed. Two models, Carreau-Yasuda and Ostwald-de Waele Power Law were employed to fit the rheological data. The Carreau-Yasuda model followed well the data.

Numerical Model for Cerebrovascular Hemodynamics with Indocyanine Green Fluorescence Videoangiography

  • Hwayeong Cheon;Young-Je Son;Sung Bae Park;Pyoung-Seop Shim;Joo-Hiuk Son;Hee-Jin Yang
    • Journal of Korean Neurosurgical Society
    • /
    • v.66 no.4
    • /
    • pp.382-392
    • /
    • 2023
  • Objective : The use of indocyanine green videoangiography (ICG-VA) to assess blood flow in the brain during cerebrovascular surgery has been increasing. Clinical studies on ICG-VA have predominantly focused on qualitative analysis. However, quantitative analysis numerical modelling for time profiling enables a more accurate evaluation of blood flow kinetics. In this study, we established a multiple exponential modified Gaussian (multi-EMG) model for quantitative ICG-VA to understand accurately the status of cerebral hemodynamics. Methods : We obtained clinical data of cerebral blood flow acquired the quantitative analysis ICG-VA during cerebrovascular surgery. Varied asymmetric peak functions were compared to find the most matching function form with clinical data by using a nonlinear regression algorithm. To verify the result of the nonlinear regression, the mode function was applied to various types of data. Results : The proposed multi-EMG model is well fitted to the clinical data. Because the primary parameters-growth and decay rates, and peak center and heights-of the model are characteristics of model function, they provide accurate reference values for assessing cerebral hemodynamics in various conditions. In addition, the primary parameters can be estimated on the curves with partially missed data. The accuracy of the model estimation was verified by a repeated curve fitting method using manipulation of missing data. Conclusion : The multi-EMG model can possibly serve as a universal model for cerebral hemodynamics in a comparison with other asymmetric peak functions. According to the results, the model can be helpful for clinical research assessment of cerebrovascular hemodynamics in a clinical setting.

Adaptive Learning System using Real-time Learner Profiling (실시간 학습자 프로파일링을 이용한 적응적 학습 시스템)

  • Yang, Yeong-Wook;Yu, Won-Hee;Lim, Heui-Seok
    • Journal of Digital Convergence
    • /
    • v.12 no.2
    • /
    • pp.467-473
    • /
    • 2014
  • Adaptive learning system means a system that provides adaptively learning materials according to the learning needs of learners. It consists of expert model, instructional model and student model. Expert model is that stores information which is to be taught. Student model stores the data of learning history and learning information of students. Instructional model provides necessary learning materials for actual leaners. This paper has constructed student model through learner's profile information and instructional model through dynamic scenario construction. After that, We have developed adaptively to provide learning to learners by constructing suitable dynamic scenario based on learners profile information. In the end, satisfaction result about this system showed a high degree of satisfaction and 88%.

Gene Expression Profiling at Early Stage of Head Regeneration in the Earthworm(Perionyx excavatus) using Expressed Sequence Tags

  • Cho, Sung-Jin;Lee, Myung-Sik;Eunsik Tak;Lee, Jong-Ae;Park, Bum-Joon;Cho, Hyun-Ju;Moon, Joo-Sik;Park, Soon-Cheol
    • Proceedings of the Korean Society of Sericultural Science Conference
    • /
    • 2003.10a
    • /
    • pp.143-143
    • /
    • 2003
  • Among all animal species, a few have the remarkable capacity to regenerate a missing part of their body after amputation. The early process of epimorphic regeneration in which dedifferentiation and cell proliferation are involved, provides a useful model to investigate the mechanism of normal development as well as differentiation. To better understand early stage of head regeneration, we have generated 5'-end sequence of 1,592 expressed sequence tags (ESTs) from cDNA library of regenerating tissue. (omitted)

  • PDF

Plant RNA Virus-Host Interaction: Potato virus X as a model system

  • Kim, Kook-Hyung
    • Proceedings of the Korean Society of Plant Pathology Conference
    • /
    • 2003.10a
    • /
    • pp.14-14
    • /
    • 2003
  • Potato virus X (PVX), the type member of Potexvirus genus, is a flexuous rod-shaped virus containing a single-stranded (+) RNA. Infection by PVX produces genomic plus- and minus-strand RNAs and two major subgenomic RNAs (sgRNAs). To understand the mechanism for PVX replication, we are studying the cis- and/or trans-acting elements required for RNA replication. Previous studies have shown that the conserved sequences located upstream of two major sgRNAs, as well as elements in the 5' non-translated region (NTR) affect accumulation of genomic and sg RNAs. Complementarity between sequences at the 5' NTR and those located upstream of two major sgRNAs and the binding of host protein(s) to the 5' NTR have shown to be important for PVX RNA replication. The 5 NTR of PVX contains single-stranded AC-rich sequence and stem-loop structure. The potential role(s) of these cis-elements on virus replication, assembly, and their interaction with viral and host protein(s) during virus infection will be discussed based on the data obtained by in vitro binding, in vitro assembly, gel shift mobility assay, host gene expression profiling using various mutants at these regions.

  • PDF

A Study on Computing Pit Excavation Volume by Terrain Surface Approximation (지형곡면해석에 의한 토공량 계산에 관한 연구)

  • 문두열;정범석
    • Journal of Ocean Engineering and Technology
    • /
    • v.16 no.6
    • /
    • pp.37-43
    • /
    • 2002
  • The calculation of earthwork plays a major role in the plan or design phase of many civil engineering projects, such as seashore reclamation; and thus, it has become very important to improve upon its accuracy. There have been common drawbacks to earlier methods of ground profiling, such as dialing with sharp corners or the grid points of any tow straight lines. In this paper, we prepose an algorithm for finding a terrain surface using the natural boundary conditions and the both direction spline method, which interpolates the given three-dimensional data by using spline. As a result of this study, the algorithm of the proposed two methods to estimate pit excavation volume should provide a better accuracy than Spot height, Chambers, Chen, or Lin method. Also, the mathematical model mentioned offers maximum accuracy in estimating the volume of a pit excavation.

Searching for the regulated gene groups through temporal profiling of microarray expressions based on the latent variable learning model (은닉변수학습 모형에 기반한 시간적 프로파일을 이용한 조절 유전자군의 탐색)

  • Yang Jin-San;Zhang Byoung-Tak
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2006.06a
    • /
    • pp.40-42
    • /
    • 2006
  • 유전자 발현에 있어서의 조절작용은 유전자간의 복합적인 상호작용의 결과에 기인한다. 따라서 이러한 현상으로부터 기능적으로 연관된 유전자 군을 식별하기 위해서는 단일 유전자보다는 복수의 유전자군의 발현패턴을 대상으로 하게 된다. 이 경우 발현패턴의 시간에 따른 다양하고 복잡한 특징들은 은닉변수학습 모형을 이용하므로서 보다 명확하게 표현될 수 있고, 유사한 기능을 가진 유전자 군을 탐색 하는데에 효과적으로 이용될 수 있다. 본 논문에서 제시된 은닉변수학습 모형은 이스트 Cell Cycle 데이터에 적용한 결과 특정 조절유전자에 대하여 생물학적으로 연관된 유전자 군을 찾는 데에 다른 방법과 비교하여 효과적임을 보일 수 있었다.

  • PDF

A Study on the Sliding Wear Calculation in Spur Gears (Spur Gear의 미끄럼 마멸율에 관한 연구)

  • 김태완;문석만;강민호;조용주
    • Proceedings of the Korean Society of Tribologists and Lubrication Engineers Conference
    • /
    • 1999.11a
    • /
    • pp.25-34
    • /
    • 1999
  • In this study, the sliding wear in spur gears, using Archard's wear model, is analyzed. Formulas of tooth sliding wear depth along the line of action are derived. The tooth profile is modified Id make a smooth transmission of the normal loads and the cylinder profile for reducing the pressure spike is suggested. The sliding wear rate is calculated with these profiling results. We expect these modification methods to contribute to the reduction of sliding wear in the root and the tip of tooth and tooth edge.

  • PDF

APPLICATION OF METABOLITE PROFILE KINETICS FOR EXPOSURE AND RISK ASSESSMENT

  • Lee, Byung-Mu
    • Proceedings of the Korean Society of Toxicology Conference
    • /
    • 2006.11a
    • /
    • pp.34-45
    • /
    • 2006
  • Chemical toxicants are metabolically converted to numerous metabolites in the body. Toxicokinetic characteristics of metabolites could be therefore used as biomarker of exposure for human risk assessment. Biologically based dose response (BBDR) model was proposed for future direction of risk assessment. However, this area has not been developed well enough for human application. Benzo(a)pyrene (BP), for example, is a well-known environmental carcinogen and may produce more than 100 metabolites and BPDE-DNA adduct, a covalently bound form of DNA with benzo(a)pyrene diolepoxides (BPDES), has been applied to qualitatively or quantitaively estimate human exposure to BP. In addition, di(2-ethylhexyl) phthalate (DEHP), a widely used plasticize. in the polymer industry, is one of endocrine-disrupting chemicals (EDCs) and has been monitored in humans using urinary or serum concentrations of DEHP or its monomer MEHP for exposure and risk assessment. However, it is difficult to estimate the actual level of toxicants using these biomarkers in humans using. This presentation will discuss a methodology of exposure and risk assessment by application of metabolic profiling kinetics.

  • PDF

A Study on Turbidity Calibration of Borehole Roughness Measurement System (BKS-LRPS) (굴착공 벽면거칠기 측정시스템(BKS-LRPS)의 혼탁도 보정에 관한 연구)

  • Park, Bong-Geun;Choi, Yong-Kyu;Kim, Myung-Hak;Kwon, Oh-Kyun;Nam, Moon-S.
    • Proceedings of the Korean Geotechical Society Conference
    • /
    • 2009.03a
    • /
    • pp.1-10
    • /
    • 2009
  • Based on recent studies, the side resistance of rock socketed drilled shafts was affected by unconfined compressive strength of rock, socket roughness, rock types and joints, and initial normal stress. Especially, the socket roughness was affected by rock types and joints, drilling methods, and diameters of pile. In this study, a new roughness measurement system (BKS-LRPS, Backyoung-KyungSung Laser Roughness Profiling System) usable in water was developed. Based on the laboratory model tests, an EMD (Effective Measurement Distances) according to various turbidity was proposed as EMD=$1149.2{\times}T^{-0.64}_b$.

  • PDF