• Journal of the Korean Society of Physical Medicine
• /
• v.8 no.1
• /
• pp.137-145
• /
• 2013

PURPOSE: The purpose of this study is to examine assessment of test-retest reliability for 13 items of pediatric balance scales, then the intrarater reliability among the raters. METHODS: Study participants included 6 children with spastic cerebral palsy who could walk. Raters were consist of seventy-four, 2nd year physical therapy major students. The children's ability to achieve physical balance was wideotaped for PBS items. The raters watched the tapes and evlauated each child twice. Test-retest reliability was analyzed using the Spearman correlation, and interrater reliability was analyzed using the Kendall's coefficient of concordance for ranks. RESULTS: The total PBS scores averaged 49.22 and 50.06 for first and second tests. Test-retest reliability of PBS individual items were between low and high. The low itmes were 3 items, and high were 4 itmes. Interrater reliability were low agreement. CONCLUSION: Based on the study, the pediatric balance scale is an effective evaluating tool for measuring functional balance of school age child. However, the agreement of students or beginner's interpretation is necessary in conjunction to this study results. On top of that, it is important to provide detailed explanation and repetitive training, which improves the analysis reliability. Also, each category subscores level for the pediatric balance scale must be examined carefully in conjunction to performing test, only after improving match quality via preceding practice.

• Physical Therapy Rehabilitation Science
• /
• v.9 no.2
• /
• pp.120-130
• /
• 2020

Objective: This study was conducted to identify the clinical usefulness, validity, and reliability of the Spirokit, a device that combines the pulmonary function test (PFT) and respiratory muscle strength (RMS) test. Design: Cross-sectional study. Methods: Forty young adults (male: 23, female: 17) participated in a PFT and a RMS test. The concurrent validity for pulmonary function was assessed by comparing data obtained from MicroQuark and the Spirokit and the agreements between the MicroRPM and the Spirokit for RMS were compared. The test-retest reliability of the Spirokit was determined by comparing data obtained from the first and second sessions. The test and retest were performed at the same time after one day for the PFT and RMS test. Validity was estimated using intraclass correlation coefficients (ICCs), and by calculating 95% limits of agreement (LoA). To estimate interrater reliability, ICCs were calculated. Results: The Spirokit showed a high agreement intra class coefficient (ICC [2, 1]): 0.978-0.999, 95% limits of agreements (95% LOA): -0.798 to 0.847 with MicroQuark. It also showed a high level of concordance ICC (2, 1): 0.992 to 0.993, 95% LOA: -9.313 to 11.169 with MicroRPM. The test-retest reliability of the Spirokit was analyzed using ICC (2, 1), and showed a high level of reliability (ICC [2,1]=0.960 to 0.998). Standard error of measurement % (SEM%) was 0.12% to 3.39%, and minimum detectable change% (MDC%) was 0.02% to 3.79%, indicating high level of reliability. Conclusions: The Spirokit is a device with high validity and reliability that can be used to simultaneously measure PFT and RMS tests.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.15 no.1
• /
• pp.153-160
• /
• 2020

The kinetic energy of the rain drops was predicted in a relation between the rain rate and rain quantity, derived directly from the rain drop size distribution (DSD), which had been measured by a disdrometer located in the eastern state of Alagoas-Brazil. The equation in the form of exponential form suppressed the effects of large drops at low rainfall intensity observed at the beginning and end of the rainfall. The kinetic energy of the raindrop was underestimated in almost rain intensity ranges and was considered acceptable by the performance indicators such as coefficient of determination, average absolute error, percent relative error, mean absolute error, root mean square error, Willmott's concordance index and confidence index.

• The Journal of the Korea Contents Association
• /
• v.18 no.5
• /
• pp.82-94
• /
• 2018

This study aimed to develop the standardized contents and methods for preventing sexual harassment for hight school students preparing for employment after graduation. Delphi methodology was used with 30 experts. Three-round Delphi surveys were analyzed using Kendall's coefficient of concordance W analysis, appropriateness for reliability of consensus opinion. Data were analyzed respectively by descriptive statistics using SPSS Win version 20.0. Results of this study showed that standardized contents were classified with 3 domains and 83 contents, then 46 contents were selected from Kendall's W analysis and weight rank. Finally, 37 contents have taken as standards contents for prevention education. If high school students are educated with systematic standardized education before employment, it will be prevented sexual harassment in the workplace after graduation.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.18 no.4
• /
• pp.221-232
• /
• 2016

Models to estimate solar radiation have been used because solar radiation is measured at a smaller number of weather stations than other variables including temperature and rainfall. For example, solar radiation has been estimated using the Angstrom-Prescott (AP) model that depends on two coefficients obtained empirically at a specific site ($AP_{Choi}$) or for a climate zone ($AP_{Frere}$). The objective of this study was to identify the coefficients of the AP model for reliable estimation of solar radiation under a wide range of spatial and temporal conditions. A global optimization was performed for a range of AP coefficients to identify the values of $AP_{max}$ that resulted in the greatest degree of agreement at each of 20 sites for a given month during 30 years. The degree of agreement was assessed using the value of Concordance Correlation Coefficient (CCC). When $AP_{Frere}$ was used to estimate solar radiation, the values of CCC were relatively high for conditions under which crop growth simulation would be performed, e.g., at rural sites during summer. The statistics for $AP_{Frere}$ were greater than those for $AP_{Choi}$ although $AP_{Frere}$ had the smaller statistics than $AP_{max}$ did. The variation of CCC values was small over a wide range of AP coefficients when those statistics were summarized by site. $AP_{Frere}$ was included in each range of AP coefficients that resulted in reasonable accuracy of solar radiation estimates by site, year, and month. These results suggested that $AP_{Frere}$ would be useful to provide estimates of solar radiation as an input to crop models in Korea. Further studies would be merited to examine feasibility of using $AP_{Frere}$ to obtain gridded estimates of solar radiation at a high spatial resolution under a complex terrain in Korea.

• The Journal of Korean Obstetrics and Gynecology
• /
• v.34 no.1
• /
• pp.1-14
• /
• 2021

Objectives: We studied for the adjustment of the patterns of 'The Diagnostic Tool for Climacteric and Postmenopausal Syndrome Pattern Identification (hereinafter CaPSPI)' (studyI) and the correlation between CaPSPI and Korean medicine doctors' diagnosis which was carried out without knowing the results of CaPSPI (studyII). Methods: The studyI followed the previous study method in 2018 (2018-3). The studyII was conducted from June 1, 2019 to July 10, 2020 with ◯◯ University Korean Medicine Hospital IRB's approval (2019-4). Doctors' diagnosis was conducted face-to-face with the subjects. Doctors' diagnosis was carried out based on the Kupperman's questionnaire, 'Diagnosis System of Oriental Medicine (hereinafter DSOM)' and four examinations (四診) records. The diagnosis was marked with 0 for 'no', 1 for 'somewhat', 2 for 'yes' and 3 for 'very yes'. The correlation between CaPSPI and the mean of doctors diagnostic scores were investigated statistically. Results: The studyI showed that heart-heat (心火) pattern was added. The Factor loading coefficient for heart-heat was 0.551 to 0.789, and the Cronbach's coefficient was 0.896. The studyII showed that the diagnosis (Kappa statistic) of two doctors showed statistically significant concordance (all eight patterns), with correlation of them were 0.3 or higher. And the correlation between the CaPSPI score and the mean of doctors' diagnostic score showed a statistically significant correlation, with liver qi depression (肝鬱) being the highest at 0.552 and dual deficiency of the heart-spleen (心脾兩虛) being the lowest at 0.301. Conclusions: Since the diagnosis results of CaPSPI showed a significant correlation with the diagnosis of Korean traditional medicine experts, it was believed that the CaPSPI results can be trusted and used for clinical purposes.

• Journal of Physiology & Pathology in Korean Medicine
• /
• v.23 no.6
• /
• pp.1221-1225
• /
• 2009

The pulse diagnosis is an important and universally used method in Oriental Medicine. Since the traditional method of palpating the pulse relies on the subjective sense in the fingers of an Oriental Medical Doctor(OMD), there has been continued need for more objective method for pulse diagnosis. Recently, various pulse analyzers have been developed to meet such objective palpation and interpretation. However, most of these attempts were not successful to replace OMD's own palpation by fingers. To improve the performance of the pulse analyzers, one should develop machine-appropriate interpretations for the pulse images in the literature, in addition to the improvement in the repeatability and reproducibility. One of such widely-used pulse images to be interpreted is the floating and sinking pulse. The floating and sinking pulses are the two representative pulse images informing us how strong pressure one should apply to obtain the maximal pulse strength. A previous study suggested a convenient and unified measure for the floating and sinking pulses by defining the coefficient of the floating-sinking pulse(CFS). We found the original definition of the CFS could be erroneous under some situations. To improve the performance, we introduce new CFS algorithm for determining the floating and sinking pulse with a pulse analyzers(3-D MAC). To test the performance of the newly suggested algorithm, we conducted a clinical study comparing the agreement ratio with the floating and sinking pulse diagnosis by the OMDs. We found that, among the subjects who are diagnosed with having either the floating pulse or sinking pulse, the new CFS algorithm showed 55.3% diagnosis rate and 73.0% concordance rate, which are about 3% and 6% improvement in the diagnosis rate and agreement rate, respectively, compared to the original CFS algorithm.

• Korean Journal of Radiology
• /
• v.24 no.4
• /
• pp.294-304
• /
• 2023

Objective: We aimed to investigate whether image standardization using deep learning-based computed tomography (CT) image conversion would improve the performance of deep learning-based automated hepatic segmentation across various reconstruction methods. Materials and Methods: We collected contrast-enhanced dual-energy CT of the abdomen that was obtained using various reconstruction methods, including filtered back projection, iterative reconstruction, optimum contrast, and monoenergetic images with 40, 60, and 80 keV. A deep learning based image conversion algorithm was developed to standardize the CT images using 142 CT examinations (128 for training and 14 for tuning). A separate set of 43 CT examinations from 42 patients (mean age, 10.1 years) was used as the test data. A commercial software program (MEDIP PRO v2.0.0.0, MEDICALIP Co. Ltd.) based on 2D U-NET was used to create liver segmentation masks with liver volume. The original 80 keV images were used as the ground truth. We used the paired t-test to compare the segmentation performance in the Dice similarity coefficient (DSC) and difference ratio of the liver volume relative to the ground truth volume before and after image standardization. The concordance correlation coefficient (CCC) was used to assess the agreement between the segmented liver volume and ground-truth volume. Results: The original CT images showed variable and poor segmentation performances. The standardized images achieved significantly higher DSCs for liver segmentation than the original images (DSC [original, 5.40%-91.27%] vs. [standardized, 93.16%-96.74%], all P < 0.001). The difference ratio of liver volume also decreased significantly after image conversion (original, 9.84%-91.37% vs. standardized, 1.99%-4.41%). In all protocols, CCCs improved after image conversion (original, -0.006-0.964 vs. standardized, 0.990-0.998). Conclusion: Deep learning-based CT image standardization can improve the performance of automated hepatic segmentation using CT images reconstructed using various methods. Deep learning-based CT image conversion may have the potential to improve the generalizability of the segmentation network.

• Asian-Australasian Journal of Animal Sciences
• /
• v.31 no.10
• /
• pp.1604-1610
• /
• 2018

Objective: The aim of the study was to evaluate the efficiency of the Hankins and Howe (HH46), Valadares Filho (V06), and Marcondes (M12) equations for predicting the physical and chemical composition of dairy crossbred bulls carcasses, as well as the chemical composition of their empty bodies. Methods: This study was conducted using 30 dairy crossbred bulls. One group of five animals was slaughtered at the beginning of the experiment, and the remaining were slaughtered 112 days later. Animals were distributed in a completely randomized design into treatments consisting different levels of concentrate (0%, 17%, 34%, 51%, and 68%). The physical and chemical compositions of the cattle were obtained from the right half of the carcass and using samples taken between the 9th and 11th ribs of the left half of the carcass. The estimated and experimentally determined values were compared using the correlation and concordance coefficient, as well as the mean square error of prediction (MSEP) and its components. Results: The HH46 equations were better at estimating the amount of muscle plus fat in the carcass. The amount of bone in the carcasses could not be well estimated by the HH46 and M12 models. The M12, HH46, and V06 equations were worst at estimating the amounts of protein, ether extract, and water in the carcass, respectively. In the empty body, the amounts of protein and water were well estimated by the HH46 equations. Protein, ether extract, and water were accurately estimated by the V06 equations, and ether extract by the M12 equations. Conclusion: The physical and chemical composition of dairy crossbred bull carcasses, as well as the chemical composition of their empty bodies, can be predicted using the equations tested here. The amount of bone in these carcasses could not be accurately predicted.

• Journal of the Korean association of regional geographers
• /
• v.8 no.2
• /
• pp.216-228
• /
• 2002

This study analyzes the decision-making processes for university students to choose the location of their future houses in metropolitan area. Based on their intuitive judgment, the university students prefer the general criteria, transportation, facility, education and society, and economy in order. The Kendall coefficient of concordance W which determines the association among the rankings of the students' judgement on the importance of the general criteria is so low. It means that the students highly disagree their rankings of the importance of the general criteria. The rankings of the importance of the criteria like as transportation and education society are concentrated on a mean value, but those of the criteria like natural environment and economy are relatively dispersed. The students prefer the area between the center of Taegu-si center and its outskirts, the outskirts of Taegu-si, and the center of Taegu'si in order as an alternative location of their future house. From the specific criteria like the price of land and house, the student's preferences on the alternative locations of future house are varied as compared with those of the general criteria. According to a sensitivity analysis, the student's preference on the center of Taegu-si is increased, but that on the the outskirts of Taegu-si is decreased as the importance of facility and transportation factor is increased. On the contrary, the student's preference on the outskirts of Taegu-si is increased, but that on the center of Taegu-si is decreased as the importance of natural environments is increased.