• Title/Summary/Keyword: normal population

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Randomized, Double-Blind Study of Efficacy and Safety of Gynostemma pentaphyllum Ethanol Extract in a Normal Population (정상인에서 스트레스와 불안에 대한 돌외추출물의 효과와 안전성에 관한 무작위 배정 이중 맹검 임상시험)

  • Jeong, Seong-Hae;Lee, Myung-Koo;Park, Mi-Sook;Kim, Jae-Moon
    • Korean Journal of Clinical Pharmacy
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    • v.21 no.2
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    • pp.131-137
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    • 2011
  • The purpose of this study was to evaluate the clinical efficacy of a standardized special ethanol extract from Gynostemma pentaphyllum as a management for anxiety and stress of normal population. This is a two-arm, parallelgroup, randomized, double blind clinical trial comparing Gynostemma pentaphyllum extract 200 mg bid (GP-EX, n=48) or placebo bid (n=54). The main outcome measures were the decrease in anxiety sensitivity index (ASI), the State version (S-STAI) of the Stait-Trait Anxiety Inventory (STAI) and the Trait version (T-STAT) of the STAI from baseline over a 6 weeks treatment period. In more anxious group (S-STAI50 or ASI19), the anxiety in group with GP-EX was decreased significantly than one in normal population with placebo [S-STAI50: T-STAI = from $57.7{\pm}6.5$ ($mean{\pm}S.D.$) to $46.8{\pm}11.2$ in normal population with GP-EX, p=0.002 vs. from $54.1{\pm}9.9$ to $49.0{\pm}9.6$ in normal population with placebo, p>0.05; ASI19: T-STAI = from $47.2{\pm}12.0$ to $42.4{\pm}11.1$ in normal population with GP-EX, p=0.022 vs. from $48.7{\pm}11.5$ to $46.0{\pm}10.4$ in normal population with placebo, p>0.05]. The most frequently reported adverse reactions considered possibly related to treatment were mild gastrointestinal events. GP-EX is more effective than placebo and is well tolerated as a therapy for anxiety and stress of normal population.

INTERVENTION STRATEGIES FOR THE DYNAMICS OF POPULATION WITH OVEREATING BEHAVIOR

  • MINHYE KIM;YONGKUK KIM;CHUNYOUNG OH
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.27 no.2
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    • pp.123-134
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    • 2023
  • Disordered eating behaviors, such as overeating, are known to be contagious in the general population. The objective of our research is to find an optimal control strategy to reduce the social burden of unhealthy overeating behavior by establishing and analyzing a mathematical model for the social transmission dynamics of unhealthy overeating. We consider four compartments in the population: normal weight with normal eating behavior, normal weight with overeating behavior, overweight with normal eating behavior, and overweight with overeating behavior. Simulation results under various control scenarios show that integrated control measures may be necessary to reduce the growth rate of the overeating population.

On the Robustness of Chi-square Test Procedure for a Compounded Multivariate Normal Mean

  • Kim, Hea-Jung
    • Communications for Statistical Applications and Methods
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    • v.2 no.2
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    • pp.330-335
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    • 1995
  • The rebustness of one sample Chi-square test for multivariate normal mean vector is investigated when the multivariate normal population is mixed with another multivariate normal population with differing in the mean vector. Explicit expressions for the level of significance and power of the test are derived. Some numerical results indicate that the Chi-square test procedure is quite robust against slight mixtures of multivariate normal populations differing in location parameters.

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The Within-Host Population Dynamics of Normal Flora in the Presence of an Invading Pathogen and Antibiotic Treatments

  • Kim, Jung-Mo;Lee, Dong-Hwan;Song, Yoon-Seok;Kang, Seong-Woo;Kim, Seung-Wook
    • Journal of Microbiology and Biotechnology
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    • v.17 no.1
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    • pp.146-153
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    • 2007
  • A mathematical competition model between normal flora and an invading pathogen was devised to allow analysis of bacterial infections in a host. The normal flora includes the various microorganisms that live on or within the host and act as a primary human immune system. Despite the important role of the normal flora, no mathematical study has been undertaken on models of the interaction between it and invading pathogens against a background of antibiotic treatment. To quantify key elements of bacterial behavior in a host, pairs of nonlinear differential equations were used to describe three categories of human health conditions, namely, healthy, latent infection, and active infection. In addition, a cutoff value was proposed to represent the minimum population level required for survival. The recovery of normal flora after antibiotic treatment was also included in the simulation because of its relation to human health recovery. The significance of each simulation parameter for the bacterial growth model was investigated. The devised simulation showed that bacterial proliferation rate, carrying capacity, initial population levels, and competition intensity have a significant effect on bacterial behavior. Consequently, a model was established to describe competition between normal flora and an infiltrating pathogen. Unlike other population models, the recovery process described by the devised model can describe the human health recovery mechanism.

Detection of the Normal Population with the Largest Absolute Value of Mean

  • Kim, Woo-Chul;Jeong, Gyu-Jin
    • Journal of the Korean Statistical Society
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    • v.22 no.1
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    • pp.71-81
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    • 1993
  • Among k independent normal populations with unknown means and a common unknown variance, the problem of detecting the population with the largest absolute value of mean is considered. This problem is formulated in a manner close to the framework of testing hypotheses, and the maximum error probability and the minimum power are considered. The power charts necessary to determine the sample size are provided. The problem of detecting the population with the smallest absolute value of mean is also considered.

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Robust Bayesian Analysis in Finite Population Sampling with Auxiliary Information

  • Lee, Seung-A;Suh, Sang-Hyuck;Kim, Dal-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.17 no.4
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    • pp.1309-1317
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    • 2006
  • The paper considers some Bayes estimators of the finite population mean with auxiliary information under priors which are scale mixtures of normal, and thus have tail heavier than that of the normal. The proposed estimators are quite robust in general. Numerical methods of finding Bayes estimators under these heavy tailed priors are given, and are illustrated with an actual example.

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Surface Brightness Fluctuation of Normal and Helium-enhanced Simple Stellar Populations

  • Chung, Chul;Yoon, Suk-Jin;Cho, Hyejeon;Lee, Sang-Yoon;Lee, Young-Wook
    • The Bulletin of The Korean Astronomical Society
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    • v.45 no.1
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    • pp.31.3-32
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    • 2020
  • The surface brightness fluctuation (SBF) is one of the most crucial distance indicators for unresolved stellar systems at large distances. Here, we present an evolutionary population synthesis model of the surface brightness fluctuation (SBF) for normal and He-enriched simple stellar populations (SSPs). Our SBF model for the normal-He population agrees well with other existing models, but the He-rich populations bring about a substantial change in the SBF of SSPs. Our normal-He SBF model well reproduces the observed SBFs of the Milky Way globular clusters, but the SBFs of early-type galaxies in the Virgo Cluster are placed between the normal-He and He-rich SBF models. We show that the SBF-based distance estimation would be affected by up to a 10-20% level in I- and near-IR bands at given colors. Finally, we propose that when combined with independent metallicity and age indicators such as Mg2 and H��, the UV and optical SBFs can readily detect underlying He-rich populations in unresolved stellar systems. Given the degree of the SBF variation resulting from the population difference, we suggest that the distance measurement before the proper in-depth analysis of stellar populations should be done with great caution.

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Relationship between obesity and periodontal diseases in adults (성인의 비만과 치주질환의 관련성)

  • Kim, Soo-Kyung
    • Journal of Korean society of Dental Hygiene
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    • v.16 no.6
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    • pp.815-824
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    • 2016
  • Objectives: The purpose of the study is to investigate the relationship between obesity and periodontal diseases in adults. Methods: The subjects were 6,762 adults over 19 years old selected from the 6th Korean National Health and Nutrition Examination Survey (2013). The study instruments included periodontal status of periodontal diseases, body mass index (BMI), and waist circumference (WC). Periodontal status was evaluated by community periodontal index (CPI). Data were analyzed using SPSS 18.0 program. Results: The prevalence of periodontal diseases was higher in male, older aged people, undereducated people, current smokers, and those having poor cognition for toothbrushing (p<0.001). The rate of obesity by BMI and WC was higher in male, older aged people and current smokers. The rate of obesity was lower in well-educated people and good practice of toothbrushing (p<0.001). The prevalence of periodontal diseases by BMI showed 0.565 times lower in underweight population, 1.302 times higher in overweight population, and 1.311 times higher in highly obese population than normal population. The prevalence of periodontal diseases by waist circumferences showed 1.404 times higher in obese population than the normal population (p<0.05). Conclusions: It is very important to promote periodontal disease prevention and education for obese population in Korea. The risk of periodontal diseases can be preventable by decrease of BMI and WC.

Visual inspection of overlapping confidence intervals for comparison of normal population means (정규 모집단의 평균 비교를 위한 신뢰구간 겹치기 시각화)

  • Choi, Sookhee;Han, Kyungsoo
    • The Korean Journal of Applied Statistics
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    • v.30 no.5
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    • pp.691-699
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    • 2017
  • Data analysts sometimes test the equality of two normal population means by the inspection of the overlapping of two confidence intervals. This method seems simple to use; however, it is a common statistical misconception to suppose that two normal means are not significantly different because of no overlapping. This article will present transforming the confidence interval of the mean difference to individual confidence intervals that are visualized to inspect overlapping. It will also be shown that this technique can be extended when comparing the k normal population means with equal variances.

P-hydroxybenzoic acid positively affect the Fusarium oxysporum to stimulate root rot in Panax notoginseng

  • Jing Zhao;Zhandi Wang;Rong Jiao;Qionglian Wan;Lianchun Wang;Liangxing Li;Yali Yang;Shahzad Munir
    • Journal of Ginseng Research
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    • v.48 no.2
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    • pp.229-235
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    • 2024
  • Background: Plant health is directly related to the change in native microbial diversity and changes in soil health have been implicated as one of the main cause of root rot. However, scarce information is present regarding allelopathic relationship of Panax notoginseng root exudates and pathogenic fungi Fusarium oxysporum in a continuous cropping system. Methods: We analyzed P. notoginseng root exudate in the planting soil for three successive years to determine phenolic acid concentration using GC-MS and HPLC followed by effect on the microbial community assembly. Antioxidant enzymes were checked in the roots to confirm possible resistance in P. notoginseng. Results: Total 29 allelochemicals in the planting soil extract was found with highest concentration (10.54 %) of p-hydroxybenzoic acid. The HPLC showing a year-by-year decrease in p-hydroxybenzoic acid content in soil of different planting years, and an increase in population of F. oxysporum. Moreover, community analysis displayed negative correlation with 2.22 mmol. L-1 of p-hydroxybenzoic acid correspond to an 18.1 % population of F. oxysporum. Furthermore, in vitro plate assay indicates that medium dose of p-hydroxybenzoic acid (2.5-5 mmol. L-1) can stimulate the growth of F. oxysporum colonies and the production of macroconidia, as well as cell wall-degrading enzymes. We found that 2-3 mmol. L-1 of p-hydroxybenzoic acid significantly increased the population of F. oxysporum. Conclusion: In conclusion, our study suggested that p-hydroxybenzoic acid have negative effect on the root system and modified the rhizosphere microbiome so that the host plant became more susceptible to root rot disease.