• Title/Summary/Keyword: Non-mixture

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Statistical Methods to Control Response Bias in Nursing Activity Surveys (간호활동시간 조사 시 응답편이 통제를 위한 통계적 접근 방안)

  • Lim, Ji-Young;Park, Chang-Gi
    • Journal of Korean Academy of Nursing
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    • v.42 no.1
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    • pp.48-55
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    • 2012
  • Purpose: The aim of this study was to compare statistical methods to control response bias in nursing activity surveys. Methods: Data were collected at a medical unit of a general hospital. The number of nursing activities and consumed activity time were measured using self-report questionnaires. Descriptive statistics were used to identify general characteristics of the units. Average, Z-standardization, gamma regression, finite mixture model, and stochastic frontier model were adopted to estimate true activity time controlling for response bias. Results: The nursing activity time data were highly skewed and had non-normal distributions. Among the 4 different methods, only gamma regression and stochastic frontier model controlled response bias effectively and the estimated total nursing activity time did not exceeded total work time. However, in gamma regression, estimated total nursing activity time was too small to use in real clinical settings. Thus stochastic frontier model was the most appropriate method to control response bias when compared with the other methods. Conclusion: According to these results, we recommend the use of a stochastic frontier model to estimate true nursing activity time when using self-report surveys.

Scream Sound Detection Based on Universal Background Model Under Various Sound Environments (다양한 소리 환경에서 UBM 기반의 비명 소리 검출)

  • Chung, Yong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.3
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    • pp.485-492
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    • 2017
  • GMM has been one of the most popular methods for scream sound detection. In the conventional GMM, the whole training data is divided into scream sound and non-scream sound, and the GMM is trained for each of them in the training process. Motivated by the idea that the process of scream sound detection is very similar to that of speaker recognition, the UBM which has been used quite successfully in speaker recognition, is proposed for use in scream sound detection in this study. We could find that UBM shows better performance than the traditional GMM from the experimental results.

Comparison of the effect of lithium bentonite and sodium bentonite on the engineering properties of bentonite-cement-sodium silicate grout

  • Zhou, Yao;Wang, Gui H.;Chang, Yong H.
    • Advances in concrete construction
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    • v.9 no.3
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    • pp.279-287
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    • 2020
  • This paper focuses on the engineering properties of Bentonite-Cement-Sodium silicate (BCS) grout, which was prepared by partially replacing the ordinary Portland cement in Cement-Sodium silicate grout with lithium bentonite (Li-bent) and sodium bentonite (Na-bent), respectively. The effect of different Water-to-Solid ratio (W/S) and various replacement percentages of bentonite on the apparent viscosity, bleeding, setting time, and early compressive strength of BCS grout were investigated. The XRD method was used to detect its hydration products. The results showed that both bentonites played a positive role in the stability of BCS grout, increased its apparent viscosity. Na-bent prolonged the setting time of BCS, while 5% of Li-bent shortened the setting time of BCS. The XRD analysis indicated that the hydration products between the mixture containing Na-bent and Li-bent did not differ much. Using bentonite as supplementary cementitious material (SCM) to replace partial cement is a promising way to cut down on carbon dioxide emissions and to produce low-cost, eco-friendly, non-toxic, and water-resistant grout. In addition, Li-bent was superior to Na-bent in improving the strength and the thickening of BCS grouts.

Aluminum Effect as Additive Material in Expanded Graphite/Sand Composite for High Thermal Conductivity

  • Areerob, Yonrapach;Nguyen, Dinh Cung Tien;Dowla, Biswas Md Rokon;Ali, Asghar;Oh, Won-Chun
    • Korean Journal of Materials Research
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    • v.27 no.8
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    • pp.422-430
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    • 2017
  • Al/expanded graphite was successfully synthesized through a facile method including ultrasonic and heat treatment. In the well-designed three dimensional structure, expanded graphite(EG) works as a conductive matrix to support coated Al particles. The effects of the fabrication parameters on the microstructures and thermal conductivities of these composites were investigated. As a result, it was found that composites with graphite volume fraction of 17.4-69.4 % sintered at $600^{\circ}C$/45MPa exhibit in-plane thermal conductivities of 380-940 W/mK, over 90 % of the predictions by rule of mixture. According to the non-destructive analysis results, the synergistic enhancement was caused by the formation of efficient thermally conductive pathways due to the hybrid of the differently sized EG. The structure integrates the advantages of expanded graphite as a conductive support, preserving the electrode activity and integrity and improving the electrochemical performance.

Improved Thermal Bonding Behaviour of Polypropylene Non-wovens by Blending Different Molecular Weights of PP

  • Deopura, B.L.;Mattu, Ankush;Jain, Anurag;Alagirusamy, R.
    • Fibers and Polymers
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    • v.3 no.1
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    • pp.38-42
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    • 2002
  • Polypropylene filaments were spun from a mixture of PP chips of two different Melt Flow Index (MFI) (3 MFI and 35 MFI). A significant difference was observed in the melting characteristics of the resultant filaments from either of the individual components as observed from the DSC. The main difference being in the degree of melting achieved at any temperature in the initial stages of the melting range, which was found to be higher in case of the filaments spun from the b]end. These filaments were then thermally bonded using silicon oil bath and heated roller method. Subsequently the bond strength of the filaments was measured on the Instron Tensile Tester using the loop technique. The values of the world strengths obtained from the blend were compared with those made from the individual component. It was found that the bond strength of the bonds obtained from the blended filament at a given temperature was higher than that of the bonds made from the filaments of either of the individual components, which is also suggested by the DSC curves. The difference in the bond strength was found to be as high as 25% in case of the blend with 60:40 composition ratios of the 3 MFI and 35 MFI components respectively.

Mass Spectrometric Identification of Thiohydantoins Derived from Amino Acids (II) (Amino acid Thiohydantoin 유도체(誘導體)의 질량분석(質量分析) (제II보)(第II報))

  • Song, Kyung-Duck
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.3 no.1
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    • pp.69-76
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    • 1974
  • The method of amino acid sequence determination from the C-terminal amino acid is proposed and mass spectrometric identification of thiohydantoins described previously. In this paper was discussed the fragmentation of thiohydantoin-ring by deutero substitution and model tripeptide have been degraded through three stages each, with interpretable results. The conditions employed in this method are mild enough for biological materials. The main features of the method are the following. 1. Thiohydantoins were formed in a non-aqueous medium a mixture of acetic anhydride, acetic acid and ammonium thiocyanate. 2. Mass sepectra of thiohydantoins derived from 20 amino acids were obtained with a mass spectrometer, JEOL model JMS-06H. 3. Cleavage of peptidyl thiohydantoin was made with an acidic from of a cation-exchange resin. (Amberlite IR-120) 4. Separation of the cleaved thiohydantoin and the parent peptide less one amino acid moiety was made by chromatography on a Sephadex G-10 column. 5. The peptide fraction was concentrated by freezedrying. 6. Thiohydantoin derivative of carboxyl terminal amino acid residue was introduced with a direct inlet probe in methanol solution.

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The Effects of Green Tea Tannin in Rats with Renal Failure Induced by Arginine Diet

  • Lee, Kyeoung-Im;Ahn, Hyung-Ki
    • Food Quality and Culture
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    • v.2 no.2
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    • pp.89-96
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    • 2008
  • In order to determine whether green tea tannin ameliorates abnormal arginine metabolism as the result of excessive arginine, we have assessed the effects of the administration of green tea tannin mixture in rats treated 30 days with 2% arginine. In the arginine-treated group, the level of guanidino compounds such as arginine (Arg), guanidinoacetic acid (GAA), creatinine (Cr), methylguanidine (MG) and guanidinosuccinic acid (GSA), nitric oxide, urea, protein and glucose increased significantly in the serum, urine and kidney, whereas the oxygen species-scavenging enzymes of kidney were reduced as compared with the non-arginine-treated group. By way of contrast, the administration of green tea tannin reduced blood urea nitrogen and serum creatinine, and reduced the urinary excretion of guanidinoacetic acid, creatinine, and $NO_2^-+NO_3^-$. The increased levels of urinary urea, protein and glucose in the arginine-treated group were also lowered by the administration of green tea tannin. In these groups, the activities of superoxide dismutase and catalase in the kidney were increased, thereby suggesting the involvement of radicals in the normalizing of kidney function. These results show that the abnormal renal function induced by the adminstration of excessive arginine in rats may be restored by treatment with green tea tannin.

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Studies on White Clover Yield Increase by Antagonistic Bacteria (길항미상물에 의한 White Clover ( Trifolium repens L. ) 생산성 향상에 관한 연구)

  • Choi, Ki-Chun;Youn, chang;Song, Chae-Eun
    • Journal of The Korean Society of Grassland and Forage Science
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    • v.18 no.3
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    • pp.187-194
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    • 1998
  • This study was conducted to investigate the effect of antagonistic bacteria and pathogenic fungi on growth and yields of white clover(Trifo1iurn repens L.) in continuous cropping soil(CCS) and non-continuous cropping soil(NCCS). The gowth experiment of white clover was conducted at pots in a vinyl house. White clover was established by seeding into pots of 12 cm in diameter and 9 cm in depth containing 1:l mixture of soil and vermiculite with antagonistic bacteria and pathogenic fungi. In dark culture experiment, white clover lived longer in treatment of antagonistic bacteria than in treatment of control, but lived shorter in CCS than in NCCS. Dry weight of white clover was increased by the inoculation of the antagonistic bacteria(p< 0.05), but decreased by the inoculation of the pathogenic fungi(p< 0.05) both CCS and NCCS. In conclusion, bacterization of white clover with antagonistic bacteria enhances the growth and yield of white clover.

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Measurements of Temperature and OH Radical Distributions in Flame Hydrolysis Deposition Process (화염 가수분해 증착공정에서 온도 및 OH 분포측정)

  • Hwang, Jun-Yeong;Gil, Yong-Seok;Kim, Jeong-Ik;Choe, Man-Su;Jeong, Seok-Ho
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.24 no.11
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    • pp.1464-1469
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    • 2000
  • The effects of SiCl$_4$addition on flame structures have been studied in flame hydrolysis deposition (FHD) processes using Coherent anti-Stokes Raman spectroscopy (CARS) and planar laser induced fluorescence (PLIF) to measure temperatures and OH concentrations, respectively. The results demonstrate that even a small amount of SiCl$_4$ addition can change thermal and chemical structures of H$_2$/O$_2$ diffusion flames. When SiCl$_4$ is added to a flame temperature decreases in non-reacting zone due to the increases in both specific heat and density of the gas mixture, while flame temperature increase in particle formation zone due to the heat release through hydrolysis and oxidation reactions of SiCl$_4$. It is also found that OH concentration decreases dramatically in particle formation zone where temperatures increase. This can be attributed to consumption of oxidative species and generation of HCl during silica formation.

Statistical Inference in Non-Identifiable and Singular Statistical Models

  • Amari, Shun-ichi;Amari, Shun-ichi;Tomoko Ozeki
    • Journal of the Korean Statistical Society
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    • v.30 no.2
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    • pp.179-192
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    • 2001
  • When a statistical model has a hierarchical structure such as multilayer perceptrons in neural networks or Gaussian mixture density representation, the model includes distribution with unidentifiable parameters when the structure becomes redundant. Since the exact structure is unknown, we need to carry out statistical estimation or learning of parameters in such a model. From the geometrical point of view, distributions specified by unidentifiable parameters become a singular point in the parameter space. The problem has been remarked in many statistical models, and strange behaviors of the likelihood ratio statistics, when the null hypothesis is at a singular point, have been analyzed so far. The present paper studies asymptotic behaviors of the maximum likelihood estimator and the Bayesian predictive estimator, by using a simple cone model, and show that they are completely different from regular statistical models where the Cramer-Rao paradigm holds. At singularities, the Fisher information metric degenerates, implying that the cramer-Rao paradigm does no more hold, and that he classical model selection theory such as AIC and MDL cannot be applied. This paper is a first step to establish a new theory for analyzing the accuracy of estimation or learning at around singularities.

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