• Title/Summary/Keyword: Mass Science

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Determination of some useful radiation interaction parameters for waste foods

  • Akman, F.;Gecibesler, I.H.;Sayyed, M.I.;Tijani, S.A.;Tufekci, A.R.;Demirtas, I.
    • Nuclear Engineering and Technology
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    • v.50 no.6
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    • pp.944-949
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    • 2018
  • The mass attenuation coefficients (${\mu}/{\rho}$) of food waste samples (pomegranate peel, acorn cap, lemon peel, mandarin peel, pumpkin peel, grape peel, orange peel, pineapple peel, acorn peel and grape stalk) have been measured employing a Si(Li) detector at 13.92, 17.75, 20.78, 26.34 and 59.54 keV. Also, the theoretical values of the mass attenuation coefficients have been evaluated utilizing mixture rule from WinXCOM program. The results showed that the lemon peel has the highest values of ${\mu}/{\rho}$ among the selected samples. From the obtained mass attenuation coefficients, we determined some absorption parameters such as effective atomic number ($Z_{eff}$), electron density ($N_E$) and molar extinction coefficient (${\varepsilon}$). It was found that the $Z_{eff}$ values of all food wastes lie within the range of 4.034-7.595, whereas the $N_E$ of the studied food wastes was found to be in the range of $0.301-1.720{\times}10^{25}$ (electrons/g) for present energy region.

Identification of IY81149 and Its Metabolites in the Rat Plasma Using the On-Line HPLC/ESI Mass Spectrometry

  • Myung, Seung-Woon;Min, Hye-Ki;Jin, Chang-Bae;Kim, Myung-Soo;Lee, Seung-Mok;Chung, Gi-Ju;Park, Seong-Jun;Kim, Dong-Yeon;Cho, Hyun-Woo
    • Archives of Pharmacal Research
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    • v.22 no.2
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    • pp.189-193
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    • 1999
  • Reversed-phase high-performance liquid chromatography/mass spectrometry (HPLC/MS) with an eletcrospray ionization (ESI) interface was applied to the identification of metabolites of IY81149 in the rat plasma. Fragments obtained using collision-induced dissociation (CID) in both positive and negative modes were utilized to elucidate the structure of metabolites. The eluent from the conventional HPLC column was split and directly introduced into an ESI-mass spectrometer for the identification of the structures. the CID technique allowed the sensitive identification of sulfonyl-IY81149 and hydroxy-IY81149 from the rat plasma.

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A low computational cost method for vibration analysis of rectangular plates subjected to moving sprung masses

  • Nikkhoo, Ali;Asili, Soheil;Sadigh, Shabnam;Hajirasouliha, Iman;Karegar, Hossein
    • Advances in Computational Design
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    • v.4 no.3
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    • pp.307-326
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    • 2019
  • A low computational cost semi-analytical method is developed, based on eigenfunction expansion, to study the vibration of rectangular plates subjected to a series of moving sprung masses, representing a bridge deck under multiple vehicle or train moving loads. The dynamic effects of the suspension system are taken into account by using flexible connections between the moving masses and the base structure. The accuracy of the proposed method in predicting the dynamic response of a rectangular plate subjected to a series of moving sprung masses is demonstrated compared to the conventional rigid moving mass models. It is shown that the proposed method can considerably improve the computational efficiency of the conventional methods by eliminating a large number of time-varying components in the coupled Ordinary Differential Equations (ODEs) matrices. The dynamic behaviour of the system is then investigated by performing a comprehensive parametric study on the Dynamic Amplification Factor (DAF) of the moving loads using different design parameters. The results indicate that ignoring the flexibility of the suspension system in both moving force and moving mass models may lead to substantially underestimated DAF predictions and therefore unsafe design solutions. This highlights the significance of taking into account the stiffness of the suspension system for accurate estimation of the plate maximum dynamic response in practical applications.

Experimental study on seepage characteristics of large size rock specimens under three-dimensional stress

  • Sun, Wenbin;Xue, Yanchao;Yin, Liming;Zhang, Junming
    • Geomechanics and Engineering
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    • v.18 no.6
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    • pp.567-574
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    • 2019
  • In order to study the effect of stress and water pressure on the permeability of fractured rock mass under three-dimensional stress conditions, a single fracture triaxial stress-seepage coupling model was established; By using the stress-seepage coupling true triaxial test system, large-scale rock specimens were taken as the research object to carry out the coupling test of stress and seepage, the fitting formula of permeability coefficient was obtained. The influence of three-dimensional stress and water pressure on the permeability coefficient of fractured rock mass was discussed. The results show that the three-dimensional stress and water pressure have a significant effect on the fracture permeability coefficient, showing a negative exponential relationship. Under certain water pressure conditions, the permeability coefficient decreases with the increase of the three-dimensional stress, and the normal principal stress plays a dominant role in the permeability. Under certain stress conditions, the permeability coefficient increases when the water pressure increases. Further analysis shows that when the gob floor rock mass is changed from high stress to unloading state, the seepage characteristics of the cracked channels will be evidently strengthened.

A comparative study on applicability and efficiency of machine learning algorithms for modeling gamma-ray shielding behaviors

  • Bilmez, Bayram;Toker, Ozan;Alp, Selcuk;Oz, Ersoy;Icelli, Orhan
    • Nuclear Engineering and Technology
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    • v.54 no.1
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    • pp.310-317
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    • 2022
  • The mass attenuation coefficient is the primary physical parameter to model narrow beam gamma-ray attenuation. A new machine learning based approach is proposed to model gamma-ray shielding behavior of composites alternative to theoretical calculations. Two fuzzy logic algorithms and a neural network algorithm were trained and tested with different mixture ratios of vanadium slag/epoxy resin/antimony in the 0.05 MeV-2 MeV energy range. Two of the algorithms showed excellent agreement with testing data after optimizing adjustable parameters, with root mean squared error (RMSE) values down to 0.0001. Those results are remarkable because mass attenuation coefficients are often presented with four significant figures. Different training data sizes were tried to determine the least number of data points required to train sufficient models. Data set size more than 1000 is seen to be required to model in above 0.05 MeV energy. Below this energy, more data points with finer energy resolution might be required. Neuro-fuzzy models were three times faster to train than neural network models, while neural network models depicted low RMSE. Fuzzy logic algorithms are overlooked in complex function approximation, yet grid partitioned fuzzy algorithms showed excellent calculation efficiency and good convergence in predicting mass attenuation coefficient.

Pressure Effects o]n Critical Heat Flux under Low Pressure and Low Flow Conditions

  • Kim, Hong-Chae;Park, Jae-Wook;Baek, Won-Pil;Chang, Soon-Heung
    • Proceedings of the Korean Nuclear Society Conference
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    • 1996.05b
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    • pp.82-87
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    • 1996
  • To find the effects of pressure on critical heat flux (CHF) for the conditions of low pressures (especially up to 10 bar) and low mass flux (~300 kg/$m^2$s), a series of experiments have been accomplished by using uniformly heated Inconel-625 tube. The experimental ranges are as follows: pressure (from 1.2 to 8 bar). mass velocities (from 100 to 250 kg/$m^2$s) and the inlet subcooling ($\Delta$h$_{i}$ = 350 kJ/kg). According to the experimental data, it is found that the CHF is nearly independent of the pressure and increases with mass flux. From the results of the CHF correlation assessment for this experimental data, we could find somewhat different tendency of CHF behavior from every other CHF prediction correlation and table.ation and table.

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Rigorous Model for Spherical Cell-support Aggregate

  • Moon, Seung-Hyeon;Lee, Ki-Beom;Satish J. Paruekar
    • Biotechnology and Bioprocess Engineering:BBE
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    • v.6 no.1
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    • pp.42-50
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    • 2001
  • The activity of immobilized cell-support particle aggregates is influenced by physical and biochemical elements, mass transfer, and physiology. Accordingly, the mathematical model discussed in this study is capable of predicting the steady state and transient concentration profiles of the cell mass and substrate, plus the effects of the substrate and product inhibition in an immobilized cell-support aggregate. The overall mathematical model is comprised of material balance equations for the cell mass, major carbon source, dissolved oxygen, and non-biomass products in a bulk suspension along with a single particle model. A smaller bead size and higher substrate concentration at the surface of the particle, resulted in a higher supply of the substrate into the aggregate and consequently a higher biocatalyst activity.

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Extraction Chromatograph Separation Spark Source Mass Spectrometric Analysis of 14 Rare Earth Impurities in High Purity Rare Earth Oxide

  • Sui, Xiyun;Wang, Zishu;Shao, Baohai
    • Analytical Science and Technology
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    • v.8 no.4
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    • pp.553-559
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    • 1995
  • An extraction chromatographic method of separating rare earth impurities from high purity $Nd_2O_3$, $Sm_2O_3$, $Gd_2O_3$, $Er_2O_3$, $Dy_2O_3$ and $Yb_2O_3$ was studied by using $HCl-NH_4Cl$ as moving phase and P507 as stationary phase. After the impurities were enriched from the eluate by chelant-activated carbon, the active carbon was ashed and the ignited residue was used to prepare the sample electrode for spark source mass spectrometric determination. The impurities in 99.9999% rare earth oxide can be determined by the proposed method with recovery over 80%.

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Isolation of Angiotensin Converting enzyme inhibitors from Ripe Cucurbita moschata Duch

  • Hyeyoung Jung;Song, Kyung-Bin
    • Preventive Nutrition and Food Science
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    • v.6 no.4
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    • pp.244-246
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    • 2001
  • Angiotensin converting enzyme (ACE) inhibitor acts on the inhibition of ACE and causes a decrease in blood pressure. There have been several reports on screening of ACE inhibitors from natural food products and protein hydrolysates of various food sources. Ripe Cucurbita moschata Duch has been used as an oriental medicine in Korea. To isolate ACE inhibitors, crude water extracts of the edible portion of ripe Cucurbita moschata Duch were obtained after heating in water at 95$^{\circ}C$ for 2 h. Crude extracts were then filtered using PM-10 and YM-1 membranes. The membrane-filtered solution was loaded onto Sephadex G-15 column equlibrated with a phosphate buffer. Among the four major fractions of gel permeation chromatography, the second fraction had the highest inhibitory activity of 65%. Further purification of the fraction using reversed-phase HPLC with a $C_{18}$ column produced ACE inhibitors, which were identified as a mixture having molecular mass of 222 and 273 by Tandem mass spectrometry.

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Orbital exenteration for a third eyelid gland carcinoma in a dog

  • Park, Yoonji;Kang, Seonmi;Jeong, Manbok;Park, Jungyun;Seo, Kangmoon
    • Korean Journal of Veterinary Research
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    • v.58 no.4
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    • pp.223-225
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    • 2018
  • A 13-year-old neutered male Poodle dog was presented with a third eyelid mass in the left eye. The dog had undergone local resection of the mass about a year prior in a private practice. On cytological examination, the mass was diagnosed as adenocarcinoma. Although lung and lymph node metastases were suspected, based upon the computed tomographic results, exenteration was performed to relieve chronic pain and to improve the dog's quality of life. Exenteration carried a good prognosis with no tumor recurrence until 1 year and 10 months after surgery, when local recurrence occurred near the left zygomatic arch.