• Title/Summary/Keyword: linear plasma

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Simultaneous Determination of α-Amanitin and β-Amanitin in Mouse Plasma Using Liquid Chromatography-High Resolution Mass Spectrometry

  • Bang, Young Yoon;Lee, Min Seo;Lim, Chang Ho;Lee, Hye Suk
    • Mass Spectrometry Letters
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    • v.12 no.3
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    • pp.112-117
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    • 2021
  • α-Amanitin and β-amanitin are highly toxic bicyclic octapeptides responsible for the poisoning of poisonous mushrooms such as Amanita, Galerina, and Lepiota by inhibiting RNA polymerase II, DNA transcription, and protein synthesis. A sensitive, simple, and selective liquid chromatography-high resolution mass spectrometric method using parallel reaction monitoring mode was developed and validated for the simultaneous determination of α- and β-amanitin in mouse plasma to evaluate the toxicokinetics of α- and β-amanitin in mice. Protein precipitation of 5 μL mouse plasma sample with methanol as sample clean-up procedure and use of negative electrospray ionization resulted in better sensitivity and less matrix effect. The calibration curves for α- and β-amanitin in mouse plasma were linear over the range of 0.5-500 ng/mL. The intra- and inter-day coefficient of variations and accuracies for α- and β-amanitin at four quality control concentrations were 3.1-14.6% and 92.5-115.0%, respectively. The present method was successfully applied to the toxicokinetic study of α- and β-amanitin after an oral administration of α- and β-amanitin at 1.5 mg/kg dose to male ICR mice.

Effects of Taurine Supplementation on Growth Peformance, Backfat Thickness and Cholesterol and Taurine Concentrations in Finishing Pigs (식이내 타우린 첨가가 비육돈의 성장, 등지방두께, 체내 콜레스테롤 및 타우린 농도에 미치는 영향)

  • 홍종욱;김인호;권오석;김지훈;이지훈;민병준;이원백;임미형;최수정
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.32 no.4
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    • pp.598-602
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    • 2003
  • The purpose of the this experiment was to evaluate taurine supplementation on growth performance backfat thickness and cholesterol and taurine concentrations in finishing pigs. A total of forty eight pigs (71.11$\pm$0.14kg initial body weight) were used in a growth assay. The control diet (CON) was corn-soybean meal based diet, whereas the other dietary treatments were supplemented by additional 0.3 and 0.6% of taurine into the control diet (TAU 0.3 and TAU 0.6, respectively). As the addition of taurine in the diets increased average daily weight gain (Quadratic effect, p<0.05) and gain/feed (Quadratic effect p<0.02) were improved. Total - cholesterol concentrations of serum (Linear effect, p<0.04) and liver (Linear effect, p<0.01) decreased with increasing taurine. As the addition of taurine in the diets increased taurine concentrations of plasma (Linear effect, p<0.01), liver (Linear effect, p<0.01) and boston butt (Linear effect, p<0.01) were increased. In conclusion, finishing pigs fed the dietary taurine had improved growth ratio and decreased total-cholesterol concentrations of serum and liver. Also, finishing pigs fed the dietary taurine had increased taurine concentrations of plasma and boston butt.

Prediction of plasma etching using genetic-algorithm controlled backpropagation neural network

  • Kim, Sung-Mo;Kim, Byung-Whan
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1305-1308
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    • 2003
  • A new technique is presented to construct a predictive model of plasma etch process. This was accomplished by combining a backpropagation neural network (BPNN) and a genetic algorithm (GA). The predictive model constructed in this way is referred to as a GA-BPNN. The GA played a role of controlling training factors simultaneously. The training factors to be optimized are the hidden neuron, training tolerance, initial weight magnitude, and two gradients of bipolar sigmoid and linear functions. Each etch response was optimized separately. The proposed scheme was evaluated with a set of experimental plasma etch data. The etch process was characterized by a $2^3$ full factorial experiment. The etch responses modeled are aluminum (A1) etch rate, silica profile angle, A1 selectivity, and dc bias. Additional test data were prepared to evaluate model appropriateness. The GA-BPNN was compared to a conventional BPNN. Compared to the BPNN, the GA-BPNN demonstrated an improvement of more than 20% for all etch responses. The improvement was significant in the case of A1 etch rate.

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A Study of Seam Tracking and Error Compensation for Plasma Arc Welding of Corrugation Panel

  • Yang, Joo-Woong;Park, Young-Jun
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.2701-2706
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    • 2003
  • This paper describes weld seam tracking and error compensation methods of automatic plasma arc welding system designed for the corrugation panel that consists of a linear section and a curved section with various curvatures. Realizing automatic welding system, we are faced with two problems. One is a precise seam tracking and the other is an arc length control. Due to the complexity of the panel shape, it is difficult to find a seam and operate a torch manually in the welding process. So, laser vision sensor for seam tracking is equipped for sensing the seam position and controlling the height of a torch automatically. To attain more precise measurement of an arc length, we measure the 3D shape of the panel and analyze error factors according to the various panel states and caused errors are predicted through the welding process. Using that result, compensation algorithm is added to that of arc length control and real time error compensation is achieved. The result shows that these two methods work effectively.

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Modeling of Plasma Process Using Support Vector Machine (Support Vector Machine을 이용한 플라즈마 공정 모델링)

  • Kim, Min-Jae;Kim, Byung-Whan
    • Proceedings of the KIEE Conference
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    • 2006.10c
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    • pp.211-213
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    • 2006
  • In this study, plasma etching process was modeled by using support vector machine (SVM). The data used in modeling were collected from the etching of silica thin films in inductively coupled plasma. For training and testing neural network, 9 and 6 experiments were used respectively. The performance of SVM was evaluated as a function of kernel type and function type. For the kernel type, Epsilon-SVR and Nu-SVR were included. For the function type, linear, polynomial, and radial basis function (RBF) were included. The performance of SVM was optimized first in terms of kernel type, then as a function of function type. Five film characteristics were modeled by using SVM and the optimized models were compared to statistical regression models. The comparison revealed that statistical regression models yielded better predictions than SVM.

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Magnetic Properties of Nano-Sized CuNi Clusters

  • Jo, Y.;Jung, M.H.;Kyum, M.C.;Park, K.H.;Kim, Y.N.
    • Journal of Magnetics
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    • v.11 no.4
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    • pp.156-159
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    • 2006
  • We have studied the magnetic properties of the CuNi nanoparticles for three different sizes prepared by plasma and chemical techniques. The magnetization is enormously enhanced with decreasing the nanoparticle size. This enhanced magnetic moment shows almost inversely linear temperature dependence, which could be interpreted by the Langevin-type superparamagnetism. The field dependence exhibits ferromagnetic-like behavior with weak hysteresis, which could described in terms of uncompensated spin and/or surface anisotropy. In addition, the magnetic data suggest that the CuNi nanoparticles produced by the plasma method result in significantly less oxidized metallic nanoparticles than those prepared by other techniques.

Automatic Seam Tracking for Plasma Arc Welding of a Corrugation Panel (파형부재의 플라즈마 아크용접을 위한 자동 용접선 추적)

  • Yang, Joo-Woong;Park, Young-Jun
    • Proceedings of the KSME Conference
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    • 2003.11a
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    • pp.1506-1511
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    • 2003
  • This paper describes an automatic weld seam tracking method of plasma arc welding system designed for the corrugation panel that consists of a linear section and a curved section with various curvatures. Due to the complexity of the panel shape, it is difficult to find a seam and operate a torch manually in the welding process. So, the laser vision sensor for seam tracking is designed for sensing the seam position and controlling a torch automatically. To achieve precise seam tracking, the design of sensor head, image simulation, and calibration are carried out. Through a series of experiment result, compensation algorithm is added and real time error compensation is achieved. The experiment result shows that this vision sensor works effectively. It will provide more precise welding performance and convenience to the operator.

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Dispersion Relation including the Effect of Diffusion for E.M. Wave in Solid-State Plasma (고상 프라즈마내에서의 전자파분산측과 확산효과)

  • Cho, Chul
    • 전기의세계
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    • v.20 no.5
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    • pp.15-18
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    • 1971
  • Up to now, there have been numerous investigations about the effect of diffusion on the wave propagation in gaseous plasmas, but not so much in semiconductor magnetoplasmas. However, currently, it becomes the centor of interest to work with the latter problem, and this paper deals with the dispersion equation including diffusion effect in the latter case to see how diffusion affects the equation in which diffusion term is neglected in the first place, and the analysis is based on the assumption that the plasma can be treated as a hydrodynamical fluid, since, from a macroscopic view point, the plasma interacting with a magnetic field can be considered as a magneto-hydrodynamical fluid, an electrically conducting fluid subjected to electromagnetic force, and the system is linear. The results of the relation and computation show that in the non-streaming case the diffusion terms appear in the equation as perturbation terms and the amplitude of the wave vector changes parabolically with the variation of the angular frequency and the longitudinal modes are observed.

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Determination of Terbutaline Enantiomers in Human Plasma by Coupled Achiral-Chiral High Performance Liquid Chromatography

  • Kim, Kyeong-Ho;Kim, Hyun-Ju;Hong, Seon-Pyo;Shin, Sang-Deok
    • Archives of Pharmacal Research
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    • v.23 no.5
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    • pp.441-445
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    • 2000
  • Achiral-chiral column switching HPLC assay was developed to allow the separation and quantification of the enantiomers of terbutaline in human plasma by means of fluorescence detection. Plasma samples were prepared by solid-phase extraction with sep-pak silica, followed by HPLC assay. The enantiomers of terbutaline and the internal standard were separated from the biological matrix on a silica column, and the two enantiomers were resolved and quantified on a Sumichiral OA-4900 column. The two columns were connected by a switching valve equipped with silica trap column, The trap column was used to concentrate the terbutaline in the eluent from the achiral column before back flushing onto the chiral phase. For each enantiomers, the assay was linear between 2.5-125 ng/$m\ell$ (r=0.9999) and detection limit was 1.0 ng/$m\ell$ .

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Improved Adhesion of DLC Films by using a Nitriding Layer on AISI H13 Substrate

  • Park, Min-Seok;Kim, Dae-Young;Shin, Chang-Seouk;Kim, Wang Ryeol
    • Journal of the Korean institute of surface engineering
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    • v.54 no.6
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    • pp.307-314
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    • 2021
  • Diamond-like carbon (DLC) is difficult to achieve sufficient adhesion because of weak bonding between DLC film and the substrate. The purpose of this study is to improve the adhesion between substrate and DLC film. DLC film was deposited on AISI H13 using linear ion source. To improve adhesion, the substrate was treated by dual post plasma nitriding. In order to define the mechanism of the improvement in adhesive strength, the gradient layer between substrate and DLC film was analyzed by Glow Discharge Spectrometer (GDS) and Scanning Electron Microscope (SEM). The microstructure of the DLC film was analyzed using a micro Raman spectrometer. Mechanical properties were measured by nano-indentation, micro vickers hardness tester and tribology tester. The characteristic of adhesion was observed by scratch test. The adhesion of the DLC film was enhanced by active screen plasma nitriding layer.