• Title/Summary/Keyword: normal distribution curve

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On Relationship between Maximum Standing Crop and Species Density in the Herbaceous Vegetaton of West Central Korea (한반도 중서부 초본식생에 있어서의 최대현존량과 종밀도와의 관계에 대하여)

  • 오규칠
    • Journal of Plant Biology
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    • v.26 no.3
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    • pp.161-171
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    • 1983
  • To test whether the Grime's model on relationship between maximum standing crop plus litter (350~750g/$m^2$) and species density (10~30/0.25$m^2$) fit well or not, a total of 52 samples, with 4 replicate plots (0.5m$\times$0.5m each) per sample, was collected from various forests, grass lands and coastal salt marshes in midwestern part of central Korean peninsula from September to October in 1982. The result agrees well with the model for grass lands salt marshes, that is, shape of curve for the maximum standing crop (minus litter) against species density indicates normal distribution. The number of species was 11 for the grassland and 7 for the salt marshes within the range of 300g to 700g per square meter for the maximum standing crop. In forest stands, however, as the maximum standing crop of herbs increased the species density decreased. The Grime's model does not seem to fit with the resutls on forest stands of this study. It is examined further the relationships among the maximum standing crop, species density and eleven soil properties, and the possible cause of this discrepancy was disscused.

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The Patient Care During Before Radiotherapy in Oral Cavity Cancer (구강내 종양환자의 방사선 치료시의 Patient Care)

  • Jeon Byeong-chul;Park Jae-il
    • The Journal of Korean Society for Radiation Therapy
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    • v.7 no.1
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    • pp.92-96
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    • 1995
  • All patients who will Undergo irraidiation of the oral cavity cancer will need dental before and during Radiotherapy. The extent of the region and the presence of numerous critical normal tissues(mucosa, gingiva, teeth and the alveolar ridge, alveolar bony structure, etc) in the oral cavity area, injury to which could result in serious functional impairment. Therefore I evaluate the Usefulness of custom-made intraoral shielding device before and during Radiotherapy in oral cavity cancer. Materials and Methods(1) : Manufacture process of Custom-made intraoral shielding device Containing Cerroband. A. Acquisition of impression B. Matrix Constitution C. Separation by Separator D. Sprincle on method E. Trimming F. Spacing G. Fill with Cerroband Materials and Methods (2) A. Preannealing B. TLD Set up C. Annealing D. TLD Reading = Results = Therefore dosimetric characteristics in oral cavity by TLD Compared to isodose curve dose distribution Ipsilateral oral mucosa, Contralateral oral mucosa, alveolar ridge, tongue, dose was reduced by intraoral shielding device containning Cerroband technique Compard to isodose plan = Conclusions = The custom-made intra-oral shielding device containing Cerroband was useful in reducing the Contralateral oral mucosa dose and Volume irradiated.

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A Study on Steady-State Criterion based on COV and a Fault Detection Method during GHP Operation (GHP 운전시 COV에 의한 정상상태 판별 및 이상검출 방법 연구)

  • Shin, Young-Gy;Oh, Se-Jae;Jeong, Jin-Hee
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.23 no.11
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    • pp.705-710
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    • 2011
  • Fault detection has to be proceeded by steady state filtering to get rid of transient effect associated with thermal capacity. Coefficient of variance (COV), ratio of standard deviation devided by moving average, was employed as steady-state filter. Engine speed and refrigerant pressures were selected as parameters representing system dynamics. The filtered values were registered as members of steady-state DB. They were found to show good functional relationship with ambient temperature. The relationship was fitted with a second order polynomial and the distribution bounds of the data around the fitted curve were expressed by visual inspection because of varying average and random data interval. Fault data were compared with the steady-state data obtained during normal operation. The fault data were easily isolated from the fault-free one. To make such isolation reliable, tests to construct good DB should be designed in a systematic way.

Clinical Pharmacokinetics of Vancomycin in Lymphoma Patients and Normal Volunteers (임파종환자에서 반코마이신의 임상약물동태)

  • Kim, Jae Ho;Choi, Jun Shik;Lee, Jin Hwan
    • Korean Journal of Clinical Pharmacy
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    • v.9 no.2
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    • pp.88-91
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    • 1999
  • The purpose of this study was to compare the pkarmacokinetic parameters of vancomycin using a 2-compartment model in 8 Korean healthy volunteers and 8 lymphoma patients. Vancomycin (1.0 g) was administered by IV infusion over 60 minutes. The $\beta-phase$ rate constant $(\beta)$, apparent volume of distribution at steady srate $(V_{ss})$, total body clearance (CL) and area under the plasma level-time curve (AUC) of vancomycin in healthy volunteers were $0.15\pm0.02\;hr^{-1},\;33.8\pm4.12\;L/kg,\;5.36\pm0.61\;L/hr\;and\;185.8\pm20.5\;{\mu}g/ml{\cdot}hr$, respectively. The corresponding values in lymphoma patients ere $0.09\pm0.02\;hr^{-1},\;38.2\pm5.11\;L/kg,\;4.58\pm0.52\;L/hr\;and\;218.3\pm22.9\;{\mu}g/ml{\cdot}hr$. There were significant differences (p<0.05) in ${\beta}$ and CL between healthy volunteers and lymphoma patients.

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A mathematical model to recover missing monitoring data of foundation pit

  • Liu, Jiangang;Zhou, Dongdong;Liu, Kewen
    • Geomechanics and Engineering
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    • v.9 no.3
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    • pp.275-286
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    • 2015
  • A new method is presented to recover missing deformation data of lateral walls of foundation pit when the monitoring is interrupted; the method is called Dynamic Mathematical Model - Parameter Interpolation. The deformation of lateral walls of foundation pit is mainly affected by the type of supporting structure and the situation of constraints, therefore, this paper mainly studies the two different kinds of variation law of deep horizontal displacement when the lateral walls are constrained or not, proposes two dynamic curve models of normal distribution type and logarithmic type, deals with model parameters by interpolating and obtains the parameters of missing data, then missing monitoring data could be Figured out by these parameters. Compared with the result from the common average method which is used to recover missing data, in the upper 2/3 of the inclinometer tube, the result by using this method is closer to the actual monitoring data, in the lower 1/3 part of the inclinometer tube, the result from the common average method is closer to the actual monitoring data.

Reliability Evaluation on Creep Life Prediction of Alloy 617 for a Very High Temperature Reactor (초고온 가스로용 Alloy 617의 크리프 수명예측 신뢰성 평가)

  • Kim, Woo-Gon;Park, Jae-Young;Kim, Seon-Jin;Hong, Sung-Deok;Kim, Yong-Wan
    • Korean Journal of Metals and Materials
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    • v.50 no.10
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    • pp.721-728
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    • 2012
  • This paper evaluates the reliability of creep rupture life under service conditions of Alloy 617, which is considered as one of the candidate materials for use in a very high temperature reactor (VHTR) system. A Z-parameter, which represents the deviation of creep rupture data from the master curve, was used for the reliability analysis of the creep rupture data of Alloy 617. A Service-condition Creep Rupture Interference (SCRI) model, which can consider both the scattering of the creep rupture data and the fluctuations of temperature and stress under any service conditions, was also used for evaluating the reliability of creep rupture life. The statistical analysis showed that the scattering of creep rupture data based on Z-parameter was supported by normal distribution. The values of reliability decreased rapidly with increasing amplitudes of temperature and stress fluctuations. The results established that the reliability decreased with an increasing service time.

Evaluating the Dosimetric Characteristics of Radiation Therapies according to Head Elevation Angle for Head and Neck Tumors (두 경부 종양 치료 시 거상각도에 따른 치료기법 별 선량특성 평가)

  • Cheon, Geum-Seong;Kang, Seong-Hee;Kim, Dong-Su;Kim, Tae-Ho;Suh, Tae-Suk
    • Progress in Medical Physics
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    • v.27 no.1
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    • pp.14-24
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    • 2016
  • Since the head and neck region is densely located with organs at risk (OAR), OAR-sparing is an important issue in the treatment of head and neck cancers. This study-in which different treatment plans were performed varying the head tilt angle on brain tumor patients-investigates the optimal head elevation angle for sparing normal organs (e.g. the hippocampus) and further compares the dosimetric characteristics of different types of radiation equipment. we performed 3D conformal radiation therapy (3D-CRT), intensity-modulated radiation therapy (IMRT), and tomotherapy on 10 patients with brain tumors in the frontal lobe while varying the head tilt angle of patients to analyze the dosimetric characteristics of different therapy methods. In each treatment plan, 95% of the tumor volume was irradiated with a dose of 40 Gy in 10 fractions. The step and shoot technique with nine beams was used for IMRT, and the same prescription dose was delivered to the tumor volume for the 3D-CRT and tomotherapy plans. The homogeneity index, conformity index, and normal tissue complication probability (NTCP) were calculated. At a head elevation angle of $30^{\circ}$, conformity of the isodose curve to the target increased on average by 53%, 8%, and 5.4%. In 3D-CRT, the maximum dose received by the brain stem decreased at $15^{\circ}$, $30^{\circ}$, and $40^{\circ}$, compared to that observed at $0^{\circ}$. The NTCP value of the hippocampus observed in each modality was the highest at a head and neck angle of $0^{\circ}$ and the lowest at $30^{\circ}$. This study demonstrates that the elevation of the patients' head tilt angle in radiation therapy improves the target region's homogeneity of dose distribution by increasing the tumor control rate and conformity of the isodose curve to the target. Moreover, the study shows that the elevation of the head tilt angle lowers the NTCP by separating the tumor volume from the normal tissues, which helps spare OARs and reduce the delivered dose to the hippocampus.

Clinical Pharmacokinetics of Vancomycin in Ovarian Cancer Patients (난소암 환자에서 반코마이신의 임상약물동태)

  • Kim, Yang Woo;Choi, Jun Shik;Lee, Jin Hwan;Park, Jae Young;Choi, Byong Chul;Burm, Jin Pil
    • Korean Journal of Clinical Pharmacy
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    • v.8 no.1
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    • pp.13-18
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    • 1998
  • The purpose of this study was to determine pharmacokinetic parameters of vancomycin using the compartment model dependent and compartment model independent analysis in 6 Korean normal volunteers and 8 ovarian cancer patients. Vancomycin was administered 1.0 g bolus by IV infusion over 60 minutes. The elimination rate constant ($\beta$), volume of distribution (Vd), total body clearance (CLt), and area under the plasma level-time curve (AUC) of vancomycin in normal volunteers using the compartment model dependent analysis were $0.150\pm0.030\;hr^{-1},\;32.9\pm2.81\;L/kg,\;5.36\pm0.63\;L/hr,\;and\;186.5\pm20.5\;{\mu}g/ml{\cdot}hr$, respectively. The $\beta$, Vd, CLt, and AUC of vancomycin in ovarian cancer patients using the compartment model dependent analysis were $0.109\;0.008\;hr^{-1},\;41.5\pm3.01\;L/kg,\;4.58\pm0.57\;L/hr\;and\;218.3\pm22.9\;{\mu}g/ml{\cdot}hr$, respectively. There were significant differences (p<0.05,\;p<0.01) in $\beta$, Vd, CLt, and AUC between normal volunteers and ovarian cancer patients. The elimination rate constant (Kel), CLt, and AUC of vancomycin in normal volunteers using the compartment model independent analysis were $0.152\pm0.022\;hr^{-1},\;5.77\pm0.75\;L/hr,\;and\;173.2\pm22.5;{\mu}g/ml{\cdot}hr$, respectively. The Kel, CLt, and AUC of vancomycin in ovarian cancer patients using the compartment model independent analysis were $0.126\pm0.012\;hr^{-1},\;4.96\pm0.55\;L/hr,\;and\;201.7\pm25.6;{\mu}g/ml{\cdot}hr$, respectively. There were significant differences (p<0.05, p<0.01) in Kel, CLt, and AUC between normal volunteers and ovarian cancer patients. And also, there was significant difference (p<0.05) in Kel of vancomycin in ovarian cancer patients between the compartment model dependent and independen analysis. It is necessary for effective dosage regimen of vancomycin in ovarian cancer patient to use these population parameters.

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Distributional Characteristics of Microcrack in Tertiary Crystalline Tuff from Northeastern Gyeongsang Basin (경상분지 북동부의 제3기 결정질 응회암에서 발달하는 미세균열의 분포특성)

  • Park, Deok-Won;Lee, Chang-Bum
    • The Journal of the Petrological Society of Korea
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    • v.18 no.4
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    • pp.315-336
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    • 2009
  • We have studied the orientational characteristics of microcrack frequency, it's length and density in Tertiary crystalline tuff from the northeastern part of the Gyeongsang Basin. 134 sets of microcracks on horizontal surfaces of 3 rock samples from Heunghae-eup were distinguished by enlarged photomicrographs of the thin sections. The variability in patterns among microcrack length-frequency histograms for three rock samples from different altitudes were derived. The pattern of histograms changes progressively from negative exponential form to log-normal form in proportion to altitude. The distribution pattern for rock sample no.1 from lower altitude shows the broad length distribution characterized by higher mean and median, and higher standard deviation. Meanwhile, this distribution pattern corresponds with characteristics of joint length distribution in sedimentary rocks of the lower part of the Gyeongsang Supergroup. The occurrence frequency of shorter microcracks increases toward both NW and NE directions from the $N0{\sim}10^{\circ}W$, with the dominant direction of $N80{\sim}90^{\circ}W$ and $N80{\sim}90^{\circ}E$, respectively. This distribution pattern represents the relative differences in formation timing among microcrack sets and the result of the new initiation of shorter microcracks. Meanwhile, the longest microcracks within $N60{\sim}70^{\circ}W$($L_{max}$:1.18 mm) and $N0{\sim}10^{\circ}W$($L_{max}$:0.80 mm) directions are seen, but this kind of microcracks are very limited in number. Whole domain of the directional angle($\theta$)-frequency(N), length(L) and density($\rho$) chart can be divided into five sections in terms of phases of the distribution of related curves. From the distribution chart, density curve shows five distinct peaks in the WNW-ESE($N70{\sim}80^{\circ}W$), NS~NNE-SSW($N0{\sim}10^{\circ}W$, $N10{\sim}20^{\circ}E$), ENE-WSW($N50{\sim}60^{\circ}E$), and nearly EW($N80{\sim}90^{\circ}E$) directions, respectively. Especially, main directions of faults correspond with the directional angle showing high density. Consequently, these distribution patterns of density curve reflect the representative maximum principal stress orientations suggested in previous studies.

Evaluation of Machine Learning Algorithm Utilization for Lung Cancer Classification Based on Gene Expression Levels

  • Podolsky, Maxim D;Barchuk, Anton A;Kuznetcov, Vladimir I;Gusarova, Natalia F;Gaidukov, Vadim S;Tarakanov, Segrey A
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.2
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    • pp.835-838
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    • 2016
  • Background: Lung cancer remains one of the most common cancers in the world, both in terms of new cases (about 13% of total per year) and deaths (nearly one cancer death in five), because of the high case fatality. Errors in lung cancer type or malignant growth determination lead to degraded treatment efficacy, because anticancer strategy depends on tumor morphology. Materials and Methods: We have made an attempt to evaluate effectiveness of machine learning algorithms in the task of lung cancer classification based on gene expression levels. We processed four publicly available data sets. The Dana-Farber Cancer Institute data set contains 203 samples and the task was to classify four cancer types and sound tissue samples. With the University of Michigan data set of 96 samples, the task was to execute a binary classification of adenocarcinoma and non-neoplastic tissues. The University of Toronto data set contains 39 samples and the task was to detect recurrence, while with the Brigham and Women's Hospital data set of 181 samples it was to make a binary classification of malignant pleural mesothelioma and adenocarcinoma. We used the k-nearest neighbor algorithm (k=1, k=5, k=10), naive Bayes classifier with assumption of both a normal distribution of attributes and a distribution through histograms, support vector machine and C4.5 decision tree. Effectiveness of machine learning algorithms was evaluated with the Matthews correlation coefficient. Results: The support vector machine method showed best results among data sets from the Dana-Farber Cancer Institute and Brigham and Women's Hospital. All algorithms with the exception of the C4.5 decision tree showed maximum potential effectiveness in the University of Michigan data set. However, the C4.5 decision tree showed best results for the University of Toronto data set. Conclusions: Machine learning algorithms can be used for lung cancer morphology classification and similar tasks based on gene expression level evaluation.