• Title/Summary/Keyword: statistical assessment

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Clinical Investigation and Follow-up Monitoring of Fatigue Patients Visiting the Oriental Medical Hospital (한방병원 보양클리닉에 내원하는 피로환자의 임상적 분석 및 치료경과 관찰)

  • 이종훈;이지현;박신명;김영철;이장훈;우홍정
    • The Journal of Korean Medicine
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    • v.21 no.4
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    • pp.55-63
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    • 2000
  • Objectives : Fatigue is a common symptom experienced by everyone. Nevertheless, clinicians have a tendency of ignoring it since fatigue itself is not considered a distinct disease. Actually, some limited research about chronic fatigue syndrome has been made within the country, but in reality, the probability of getting this syndrome is still considered very low due to the strict diagnosis standard. Therefore, there are tremendous numbers of patients who do not get enough attention from clinicians for their fatigue symptoms only because technically they do not belong to the syndrome. Therefore, a basic statistical database must be compiled and patient management programs must be developed. To accomplish this, we conducted this study by measuring degree of fatigue, clinical characteristics and processes of Oriental medical treatment of fatigue patients. Methods : The objects of this study were selected from the new patients who entered the tonification Clinic in Kynnghee Oriental Medical Center between August 11, 2000 and October 7, 2000. Their main complaint was fatigue and they did not suffer from any physical or mental problem either historically or at the time of the study. The objects were divided into two groups based on duration of fatigue; fatigue under 6 months is considered as acute fatigue and fatigue for longer than 6 months is chronic fatigue. The prepared survey sheet for measuring fatigue degree was distributed to the patients with their consent. The patients were divided again into three subgroups : the fIrst group went through 1st test and constitution test after tonification clinic; the second one went into constitution test skipping Ist measuring test; the third one went into only tonification clinic with neither 1st measuring test nor constitution test. Results : The total number of object patients was 47 and 80% of them were considered as 'fatigue patients' by the Chalder scale. Among all patients, 29.5% requested treatment for chronic fatigue, which is over 6 months. The average of scale II for all patients was 14.8, which indicates moderate fatigue. The averages of scale II-1, II-2, II-3 were respectively 7.5, 5.9, and 3.7 so the most common complaint was physical fatigue. When compared scale II based on occupations, student group scored 6.9 and office man group scored 8.5 in scale II-1, physical fatigue, but it was not significant. Conclusions : Numerous number of patients have come to Oriental medical centers or hospitals in Korea. Therefore, deeper statistical research and follow-up-monitoring are reqnired in the Oriental medical academic world. In this study, among all patients who entered the tonification Clinic in Kyunghee Oriental Medical Center, 29.5% requested treatment for chronic fatigue, which is over 6 months. This kind of statistical report is the first time trial in the Oriental medical academy world. Through these steps, more objective treatment can be made and standards of prognosis assessment can be established.tablished.

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New Statistical Pattern Recognition Technology for Condition Assessment of Cable-stayed Bridge on Earthquake Load (지진하중을 받는 사장교의 상태평가를 위한 새로운 통계적 패턴 인식 기술)

  • Heo, Gwanghee;Kim, Chunggil
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.34 no.3
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    • pp.747-754
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    • 2014
  • In spite of its usefulness for health monitoring of structures on steady external load, the statistical pattern recognition technology (SPRT), based on Mahalanobis distance theory (MDT), is not good enough for the health monitoring of structures on large variability external load like earthquake. Damage is usually determined by the difference between the average measured value of undamaged structure and the measure value of damaged one. So when external variability gets larger, the difference gets bigger along, which is thus easily mistaken for a damage. This paper aims to overcome the problem and develop an improved Mahalanobis distance theory (IMDT), that is, a SPRT with revised MDT in order to decrease external variability so that we will be able to continue to monitor the structure on uncertain external variability. This method is experimentally tested to see if it precisely evaluates the health of a cable-stayed bridge on each general random load and earthquake load. As a result, the IMDT is found to be valid in locating structural damage made by damaged cables by means of data from undamaged cables. So it is proved to be effectively applicable to the health monitoring of bridges on external load of variability.

Risk Assessment of the Road Cut Slopes in Gyeoungnam based on Multiple Regression Analysis (다중회귀분석을 통한 경남 지방도로 절취사면의 안정성평가)

  • Kang, Tae-Seung;Um, Jeong-Gi
    • The Journal of Engineering Geology
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    • v.17 no.3
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    • pp.393-404
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    • 2007
  • The purpose of this study is to capture the essentials in survey and evaluation scheme which are able to assess the hazard of a rock slope systematically. Statistical analysis are performed on slope instability parameters related to failure of the rock slope. As the slope instability parameters, twelve survey items are considered such as tension crack, surface deformation, deformation of retaining structures, volume of existing failures, angles between strike of discontinuity and strike of cut slope face, angles between dip of discontinuity and dip of cut slope face, discontinuity condition, cut slope angle, rainfall or ground water level, excavation condition, drainage condition, reinforcement. A total of 233 road cut slopes located in Gyeongnam were considered. The stability of the road cut slopes were evaluated by estimating the slope instability index(SII) and corresponding stability rank. 126 rock slopes were selected to analyze statistical relation between SII and slope instability parameters. The multiple regression analysis was applied to derive statistical models which are able to predict the SII and corresponding slope stability rank. Also, its applicability was explored to predict the slope failures using the variables of slope instability parameters. The results obtained in this study clearly show that the methodology given in this paper have strong capabilities to evaluate the failures of the road cut slope effectively.

Does Breast Cancer Drive the Building of Survival Probability Models among States? An Assessment of Goodness of Fit for Patient Data from SEER Registries

  • Khan, Hafiz;Saxena, Anshul;Perisetti, Abhilash;Rafiq, Aamrin;Gabbidon, Kemesha;Mende, Sarah;Lyuksyutova, Maria;Quesada, Kandi;Blakely, Summre;Torres, Tiffany;Afesse, Mahlet
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.12
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    • pp.5287-5294
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    • 2016
  • Background: Breast cancer is a worldwide public health concern and is the most prevalent type of cancer in women in the United States. This study concerned the best fit of statistical probability models on the basis of survival times for nine state cancer registries: California, Connecticut, Georgia, Hawaii, Iowa, Michigan, New Mexico, Utah, and Washington. Materials and Methods: A probability random sampling method was applied to select and extract records of 2,000 breast cancer patients from the Surveillance Epidemiology and End Results (SEER) database for each of the nine state cancer registries used in this study. EasyFit software was utilized to identify the best probability models by using goodness of fit tests, and to estimate parameters for various statistical probability distributions that fit survival data. Results: Statistical analysis for the summary of statistics is reported for each of the states for the years 1973 to 2012. Kolmogorov-Smirnov, Anderson-Darling, and Chi-squared goodness of fit test values were used for survival data, the highest values of goodness of fit statistics being considered indicative of the best fit survival model for each state. Conclusions: It was found that California, Connecticut, Georgia, Iowa, New Mexico, and Washington followed the Burr probability distribution, while the Dagum probability distribution gave the best fit for Michigan and Utah, and Hawaii followed the Gamma probability distribution. These findings highlight differences between states through selected sociodemographic variables and also demonstrate probability modeling differences in breast cancer survival times. The results of this study can be used to guide healthcare providers and researchers for further investigations into social and environmental factors in order to reduce the occurrence of and mortality due to breast cancer.

Spatial assessment of heat wave and river water quality (폭염과 하천 수질의 공간적 평가)

  • Lee, Jiwan;Kim, Sehoon;Han, Daeyoung;Shin, Hyungjin;Lim, Hyeokjin;Kim, Seongjoon
    • Journal of Korea Water Resources Association
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    • v.54 no.9
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    • pp.693-704
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    • 2021
  • The purpose of this study is to evaluate the relationship between heat wave and river water quality. The daily maximum air temperature (Tmax) of 91 meteorological stations of the Korea Meteorological Administration and 13 river water quality factors (DO, BOD, COD, TOC, TN, DTN, NH4-N, NO2-N, NO3-N, TP, DTP, PO4-P, Chl-a) of Ministry of Environment were analyzed. The correlation analysis was performed on Tmax and water quality factors, and the determination coefficients (R2) of DO, Chl-a, and TN with Tmax showed high values of 0.782, 0.609, and 0.691 respectively. To analyze the spatial impact between heat waves and water quality factors, the heat wave intensity (HWI) and heat wave duration (HWD) were calculated using the Tmax. The hotspot and spatial statistical analyses were applied for spatial impact evaluation. As a result of hotspot analysis, the heat wave index (HWD, HWI) showed high spatial pattern in the downstream of Nakdong River basin, and Chl-a and TN showed the same pattern. In case of spatial statistical analysis for water quality due to heat wave, the most obvious spatial variability was DO.

Quantitative assessment of spalling depth and width using statistical inference theory in underground openings (통계추론을 이용한 지하암반공동에서의 스폴링 깊이와 폭에 대한 정량적 평가)

  • Bang, Joon-Ho;Lee, In-Mo
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.12 no.1
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    • pp.1-14
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    • 2010
  • Until now, the evaluation method of spalling depth using Martin et al. (1999)'s linear regression relations has long been known applicable. However, it is not likely that the proposed equation is applicable to the openings other than circular type and mostly overpredict the spalling depth in comparison with actual spalling cases. Moreover, the evaluation method to estimate the spalling width has not been presented yet; it is essential to evaluate the spalling width in addition to the spalling depth, because the shape of the spalled region influences the choice of suitable rock reinforcement. In this study, linear regression equations, in which normalized spalling depth ($d_f/W_D$) and normalized spalling width ($w_f/W_D$) are functions of three spalling evaluation indices, ${\sigma}_1/{\sigma}_c,\;D_{is}(={\sigma}_{max}/{\sigma}_c)$ and ${\sigma}_{dev}/{\sigma}_{cm}$, are established based on in-situ spalling observations and CWFS simulation results. Confidence intervals of 95% using the statistical inference theory are used in verifying the reliability of linear regression equations. Spalling depth ($d_f$) and spalling width ($w_f$) predicted from the proposed linear regression relations, which take three spalling evaluation indices into account, showed reasonable match with in-situ observations by adopting weighting factors considering the degree of variance of linear regression relations.

Distribution and Statistical Analysis of Discontinuities in Deep Drillcore (심부시추코어를 활용한 불연속면의 분포 특성 및 통계학적 해석)

  • Junghae Choi;Youjin Jung;Dae-Sung Cheon
    • The Journal of Engineering Geology
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    • v.34 no.3
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    • pp.415-427
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    • 2024
  • This study undertook a quantitative analysis of the distribution of fractures in deep drillcore from a Precambrian metamorphic complex on the north face of Hongcheon-gun, Gangwon-do, Korea. The fracture distribution with depth, inclination of fractures, and grain size in the fracture zone were measured and statistical techniques applied to derive probability distributions of fracture intervals. Analysis of the inclination angles of fracture planes showed that sub-horizontal fractures are dominant, and fracture spacing is mainly ≤0.5 m, with a median of 0.09 m, first quartile of 0.04 m, and third quartile of 0.18 m, indicating very dense fracture development. Statistical analysis of joint properties was undertaken with fitting using five probability density functions (double Weibull, exponential, generalized logistic, gamma, and lognormal). The lognormal distribution (sum of squared errors, SSE = 2.80) yielded the best fit based on the sum of residual squares. Quantitative characterization of the fracture characteristics of deep bedrock in the Hongcheon area is important for various geotechnical applications such as groundwater flow modeling, slope stability assessment, and underground structure design. In future studies, it will be necessary to combine in situ stress measurements and geophysical surveys to determine the relationship between fracture development and the local stress field.

A Study on the Food Consumption Rates for Off-site Radiological Dose Assessment around Korean Nuclear Power Plants (국내 원자력발전소 주변 주민의 방사선량 평가를 위한 음식물 섭취율 설정 연구)

  • Lee, Gab-Bock;Chung, Yang-Geun
    • Journal of Radiation Protection and Research
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    • v.33 no.4
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    • pp.183-196
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    • 2008
  • The internal dose by food consumption mostly accounts for radiological dose of public around nuclear power plants (NPPs). But, food consumption rates applied to off-site dose calculation in Korea which are the result of field investigation around Kori NPP by the KAERI (Korea Atomic Energy Research Institute) in 1988, are not able to reflect the latest dietary characteristics of Korean. The food consumption rates to be used for radiological dose assessment in Korea are based on the maximum individual of US NRC (Nuclear Regulatory Commssion) Regulatory Guide 1.109. However, the representative individual of the critical group is considered in the recent ICRP (International Commission on Radiological Protection) recommendation and European nations' practice. Therefore, the study on the re-establishment of the food consumption rates for individual around nuclear power plant sites in Korea was carried out to reflect on the recent change of the Korean dietary characteristics and to apply the representative individual of critical group to domestic regulations. The Ministry of Health and Welfare Affairs has investigated the food and nutrition of nations every 3 years based on the Law of National Health Improvement. The statistical data such as mean, standard deviation, various percentile values about food consumption rates to be used for the representative individual of the critical group were analyzed by using the raw data of the national food consumption survey in $2001{\sim}2002$. Also, the food consumption rates for maximum individual are re-estimated.

Developing a Program to Pre-process AIS Data and applying to Vung Tau Waterway in Vietnam - Based on the IWRAP Mk2 program - (AIS 데이터 전처리 프로그램의 개발 및 Vung Tau 해역에의 적용 - IWRAP Mk2 프로그램을 기초로 -)

  • Nguyen, Xuan Thanh;Park, Young-Soo;Park, Jin-Soo;Jeong, Jae-Yong
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.19 no.4
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    • pp.345-351
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    • 2013
  • The IWRAP program (Inland Waterway Risk Assessment Program) is a useful program for risk assessment of a waterway. However, in the basic version, the function which is used to import AIS data is not included. So users have to prepare the data and input to the program manually. And not all waterways have enough statistical data about passing vessels especially in developing countries as Vietnam. This paper studies the development of a program to pre-process AIS data for using the IWRAP Mk2 program basic version. In addition, it provides users basic information about marine traffic in a waterway such as routes layout, number of passages at a gate classified by type, size and time. The developed program, named TOAIS (Total AIS), was successfully used to pre-process AIS data collected in the Vung Tau waterway-Vietnam. As a result, the IWRAP Mk2 program basic version using data pre-processed from TOAIS could effectively assess the risk of collision in this waterway.

The Effect of Sensory Integration Program(Sensory Integration Therapy) after School on Functional Task Performance in School (방과 후 감각통합프로그램(감각통합치료)이 학교에서의 기능적 과제 수행에 미치는 효과)

  • Park, Ji-Hoon;Lee, Eun-Jung;Noh, Jong-Su;Lee, Hyang-Suk;Cha, Jung-Jin
    • The Journal of Korean Academy of Sensory Integration
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    • v.8 no.1
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    • pp.27-40
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    • 2010
  • Objective : This study is designed to identify effect of a sensory integration(SI) program provided to elementary school students as an after-school activity. The study is looking at both occupational performance components and school-task performance which is an area of occupational performance. Methods : SI program specially designed as an after-school activity was provided to three boys who are first- or second grade students of Y elementary school in Dae-Jeon city. The SI intervention was organized with 25 sessions and carried out for two months. One group pretest-posttest design was used to evaluate the effectiveness of the SI program. Measurements used are Short Sensory Profile(SSP), K-DTVP-2, and BOTMP for occupational performance components, and School Function Assessment for functional schooltask performance. Results : It is found that posttest scores were enhanced in all assessments SSP; BOTMP; K-DTVP-2; and SFA. Conclusion : Results of this study simply propose that sensory integration program designed as after-school activity may have positive effects on not only occupational performance components but also on school-task performance of elementary school student. Since sample size is too small, however, there is limitation to find statistical significance. Further researches testing large number of subjects are required to boost the finding of this study.

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