• 제목/요약/키워드: U-coefficient

검색결과 759건 처리시간 0.033초

Benign versus Malignant Soft-Tissue Tumors: Differentiation with 3T Magnetic Resonance Image Textural Analysis Including Diffusion-Weighted Imaging

  • Lee, Youngjun;Jee, Won-Hee;Whang, Yoon Sub;Jung, Chan Kwon;Chung, Yang-Guk;Lee, So-Yeon
    • Investigative Magnetic Resonance Imaging
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    • 제25권2호
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    • pp.118-128
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    • 2021
  • Purpose: To investigate the value of MR textural analysis, including use of diffusion-weighted imaging (DWI) to differentiate malignant from benign soft-tissue tumors on 3T MRI. Materials and Methods: We enrolled 69 patients (25 men, 44 women, ages 18 to 84 years) with pathologically confirmed soft-tissue tumors (29 benign, 40 malignant) who underwent pre-treatment 3T-MRI. We calculated MR texture, including mean, standard deviation (SD), skewness, kurtosis, mean of positive pixels (MPP), and entropy, according to different spatial-scale factors (SSF, 0, 2, 4, 6) on axial T1- and T2-weighted images (T1WI, T2WI), contrast-enhanced T1WI (CE-T1WI), high b-value DWI (800 sec/mm2), and apparent diffusion coefficient (ADC) map. We used the Mann-Whitney U test, logistic regression, and area under the receiver operating characteristic curve (AUC) for statistical analysis. Results: Malignant soft-tissue tumors had significantly lower mean values of DWI, ADC, T2WI and CE-T1WI, MPP of ADC, and CE-T1WI, but significantly higher kurtosis of DWI, T1WI, and CE-T1WI, and entropy of DWI, ADC, and T2WI than did benign tumors (P < 0.050). In multivariate logistic regression, the mean ADC value (SSF, 6) and kurtosis of CE-T1WI (SSF, 4) were independently associated with malignancy (P ≤ 0.009). A multivariate model of MR features worked well for diagnosis of malignant soft-tissue tumors (AUC, 0.909). Conclusion: Accurate diagnosis could be obtained using MR textural analysis with DWI and CE-T1WI in differentiating benign from malignant soft-tissue tumors.

Relationship between Health Concern, Knowledge of Cardio-cerebrovascular Disease, and Health-Promoting Behaviors among the Elderly (노인의 건강관심도와 심뇌혈관질환에 대한 지식 및 건강증진행위와의 관계)

  • Cho, Jung Hee
    • Journal of Home Health Care Nursing
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    • 제28권2호
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    • pp.144-153
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    • 2021
  • Purpose: The purpose of this study was to find out the relationship between health concern, knowledge of cardio-cerebrovascular disease, and health-promoting behaviors among the elderly in the community. Method: The subjects of the study were 142 senior citizens aged 65 years or older in Cheongju-si, Chungcheong-do. Data were collected using structured questionnaires that included questions on the general characteristics, health concerns, knowledge of cardio-cerebrovascular disease, and health-promoting behaviors. The collected data were analyzed by the statistical program SPSS 20.0. The frequencies, percentages, averages, and standard deviations of the collected data were analyzed using a t-test, ANOVA, Mann Whitney U test, and Pearson's correlation coefficient, basing on the purpose of the study. The Scheffe test was carried out as a posteriori test. Result: The elderly were found to have a high health concern, but their knowledge of cardio-cerebrovascular disease was low, and their health-promoting behaviors were above the intermediate level. There was a significant positive correlation between each variable, which means that the higher the health concern was, the more knowledge an individual had of cardio-cerebrovascular disease, and the more health-promoting behaviors one had. Conclusion: This suggests that the elderly in the community should be encouraged to engage in the actions that promote their health by raising their level of health concern and awareness of diseases through health education, basing on their individual characteristics.

Numerical Study of Structural Behavior of Underground Silo Structures for Low-and-Intermediate-level Radioactive Waste Disposal Facility (중저준위 방폐물 처분 사일로 구조물의 구조거동 수치해석 연구)

  • Kim, Sun-Hoon;Kim, Kwang-Jin
    • Journal of the Computational Structural Engineering Institute of Korea
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    • 제35권3호
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    • pp.183-190
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    • 2022
  • The construction of an underground silo structure was the first stage of erecting the Gyeongju low-and-intermediate-level radioactive waste disposal facility. The facility, completed in 2014, has a scale of 100 000 drums and is currently in operation. The underground silo structure, 25 and 50 m in diameter and height, respectively, consists of cylindrical (for storing waste packages) and dome parts. The dome is divided into lower (connected to the operation tunnel) and upper parts. The wall of the underground silo structure is an approximately 1-m-thick reinforced concrete liner. In this study, finite element analysis was performed for each phase of the construction sequence and operation of the underground silo structure. Two-dimensional axial symmetric finite element analysis was implemented using the SMAP-3D program. Three-dimensional finite element analysis was also performed to examine the reliability of the two-dimensional axial symmetric finite element model. The structural behavior of the underground silo structure was predicted, and its structural safety was examined.

Evaluating Usefulness of Deep Learning Based Left Ventricle Segmentation in Cardiac Gated Blood Pool Scan (게이트심장혈액풀검사에서 딥러닝 기반 좌심실 영역 분할방법의 유용성 평가)

  • Oh, Joo-Young;Jeong, Eui-Hwan;Lee, Joo-Young;Park, Hoon-Hee
    • Journal of radiological science and technology
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    • 제45권2호
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    • pp.151-158
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    • 2022
  • The Cardiac Gated Blood Pool (GBP) scintigram, a nuclear medicine imaging, calculates the left ventricular Ejection Fraction (EF) by segmenting the left ventricle from the heart. However, in order to accurately segment the substructure of the heart, specialized knowledge of cardiac anatomy is required, and depending on the expert's processing, there may be a problem in which the left ventricular EF is calculated differently. In this study, using the DeepLabV3 architecture, GBP images were trained on 93 training data with a ResNet-50 backbone. Afterwards, the trained model was applied to 23 separate test sets of GBP to evaluate the reproducibility of the region of interest and left ventricular EF. Pixel accuracy, dice coefficient, and IoU for the region of interest were 99.32±0.20, 94.65±1.45, 89.89±2.62(%) at the diastolic phase, and 99.26±0.34, 90.16±4.19, and 82.33±6.69(%) at the systolic phase, respectively. Left ventricular EF was calculated to be an average of 60.37±7.32% in the ROI set by humans and 58.68±7.22% in the ROI set by the deep learning segmentation model. (p<0.05) The automated segmentation method using deep learning presented in this study similarly predicts the average human-set ROI and left ventricular EF when a random GBP image is an input. If the automatic segmentation method is developed and applied to the functional examination method that needs to set ROI in the field of cardiac scintigram in nuclear medicine in the future, it is expected to greatly contribute to improving the efficiency and accuracy of processing and analysis by nuclear medicine specialists.

Testing the Consistency of Unified Scheme of Seyfert Galaxies

  • Iyida, Evaristus U.;Eya, Innocent O.;Eze, Christian I.
    • Journal of Astronomy and Space Sciences
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    • 제39권2호
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    • pp.43-50
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    • 2022
  • The unified scheme of Seyfert galaxies hypothesizes that the observed differences between the two categories of Seyfert galaxies, type 1 (Sy1) and type 2 (Sy2) are merely due to the difference in the orientation of the toroidal shape of the obscuring material in the active galactic nuclei. We used in this paper, a sample consisting of 120 Seyfert galaxies at 1.40 × 109 Hz in radio, 2.52 × 1017 Hz in X-ray and 2.52 × 1023 Hz in γ-ray luminosities observed by the Fermi Large Area Telescope (Fermi-LAT) in order to test the unified scheme of radio-quiet Seyfert galaxies. Our main results are as follows: (i) We found that the distributions of multiwave luminosities (Lradio, LX-ray, and Lγ-ray) of Sy1 and Sy2 are completely overlapped with up to a factor of 4. The principal component analysis result reveals that Sy1 and Sy2 also occupy the same parameter spaces, which agrees with the notion that Sy1 and Sy2 are the same class objects. A Kolmogorov-Smirnov test performed on the sub-samples indicates that the null hypothesis (both are from the same population) cannot be rejected with chance probability p ~ 0 and separation distance K = 0.013. This result supports the fact that there is no statistical difference between the properties of Sy1 and Sy2 (ii) We found that the coefficient of the best-fit linear regression equation between the common properties of Sy1 and Sy2 is significant (r > 0.50) which plausibly implies that Sy1 and Sy2 are the same type of objects observed at different viewing angle.

Fit Performance Comparison Between OPC and CNC Based on Number of Ambient Aerosol Particles (시험환경 내 입자수에 대한 OPC, CNC 장비 간 마스크 밀착 성능비교)

  • Seo, Hyekyung;Jang, Hoyeong;Shim, Sua;Kim, Huiju;Han, Donhee
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • 제32권2호
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    • pp.163-171
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    • 2022
  • Objectives: Fit performance may vary depending on the ambient aerosol number and ratio in respective test environment. Although several instrument can measure it, they differ with respect to the measurement principle and the range of ambient aerosols collected to calculate the fit factor. Methods: In this study, the fit performance between a condensation nuclei counter(CNC) and an optical particle counter(OPC) was compared according to ambient aerosol number concentration, and evaluated consistency. One type respirators(N95 masks) was worn by 50 participants PortaCount®(Pro+ 8038) and MT®(05U) were connected with one probe to one mask, and Fit Factors(FFs) were measured simultaneously. Results: The interclass correlation coefficient of the fit factor and ambient aerosol number, as measured by the two instrument, was 0.82 and 0.79, respectively, indicating a high consistency level. On the other hand there was a significant correlation between the successful test performance of the OPC instrument and the ambient aerosol number. Conclusions: The test was passed with the CNC and OPC instruments when the ambient aerosol number was 635-3,332 particles/cm3 and 368-1,976 particles/cm3, respectively. Thus, the ideal ambient aerosol number of particles differed between the two instrument.

Land Use and Land Cover Mapping from Kompsat-5 X-band Co-polarized Data Using Conditional Generative Adversarial Network

  • Jang, Jae-Cheol;Park, Kyung-Ae
    • Korean Journal of Remote Sensing
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    • 제38권1호
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    • pp.111-126
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    • 2022
  • Land use and land cover (LULC) mapping is an important factor in geospatial analysis. Although highly precise ground-based LULC monitoring is possible, it is time consuming and costly. Conversely, because the synthetic aperture radar (SAR) sensor is an all-weather sensor with high resolution, it could replace field-based LULC monitoring systems with low cost and less time requirement. Thus, LULC is one of the major areas in SAR applications. We developed a LULC model using only KOMPSAT-5 single co-polarized data and digital elevation model (DEM) data. Twelve HH-polarized images and 18 VV-polarized images were collected, and two HH-polarized images and four VV-polarized images were selected for the model testing. To train the LULC model, we applied the conditional generative adversarial network (cGAN) method. We used U-Net combined with the residual unit (ResUNet) model to generate the cGAN method. When analyzing the training history at 1732 epochs, the ResUNet model showed a maximum overall accuracy (OA) of 93.89 and a Kappa coefficient of 0.91. The model exhibited high performance in the test datasets with an OA greater than 90. The model accurately distinguished water body areas and showed lower accuracy in wetlands than in the other LULC types. The effect of the DEM on the accuracy of LULC was analyzed. When assessing the accuracy with respect to the incidence angle, owing to the radar shadow caused by the side-looking system of the SAR sensor, the OA tended to decrease as the incidence angle increased. This study is the first to use only KOMPSAT-5 single co-polarized data and deep learning methods to demonstrate the possibility of high-performance LULC monitoring. This study contributes to Earth surface monitoring and the development of deep learning approaches using the KOMPSAT-5 data.

Varietal Differences of Germination and Emergence Capacity under Low Temperature Conditions in Barley (대맥에서 저온 발아 및 출현력의 품종간 차이)

  • Chun, J.U.;Lee, E.S.;Lee, S.Y.
    • KOREAN JOURNAL OF CROP SCIENCE
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    • 제29권2호
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    • pp.152-156
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    • 1984
  • Germination and emergence of 16 barley cultivars bred in Korea were studied under different low temperature conditions in laboratory at Suweon. This study revealed that the barley cultivars differed markedly in their germination rate index (GRI), emergence rate index (ERI), and dry matter weight. The seeds of Baekdong, Namhaebori, Gangbori and Buheung germinated better than others in $4^{\circ}C$ plot. Yeongsanbori, Kwangseong and Baekdong had very poor ERI values, but Buhobori, Namhaebori, Oweolbori, Albori and malting barley, Sacheon 6 had very good ERI values. Germination rate index were not correlated with emergence rate index under any temperature conditions. The correlation coefficient between ERI of $4^{\circ}C$ and $7^{\circ}C$ plots was very high. Those results showed that for screening the varieties or lines with good emergence capacity under low temperature conditions ERI, FS and dry matter weight would be available.

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Effects of Grit, Positive Emotions, and Teamwork on Clinical Practice Satisfaction of Nursing Students (간호대학생의 그릿, 긍정적 정서, 팀워크가 임상실습 만족도에 미치는 영향)

  • Ji-Hyun Kim
    • Journal of the Korean Applied Science and Technology
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    • 제40권3호
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    • pp.560-569
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    • 2023
  • This study is a descriptive research study conducted to identify the grit, positive emotions, teamwork, and clinical practice satisfaction of nursing college students, and to identify factors that affect clinical practice satisfaction. The participants of the study were fourth grade nursing students from two universities located in U city and G city. The SPSS 21.0 program was used to analyze the data into descriptive statistics, t-test, ANOVA, Pearson correlation coefficient, and multiple regression. As a result of the study, there was a positive correlation between grit, positive emotion, and teamwork in clinical practice satisfaction. Teamwork had a positive correlation with grit and positive emotions, and positive emotions had a positive correlation with grit. Factors affecting clinical practice satisfaction were teamwork and positive emotions, and explanatory power was 43.6%. Therefore, it is necessary to develop educational programs and find ways to improve teamwork and positive emotions as a strategy to improve the satisfaction of nursing college students in clinical practice.

Perception and experience of dental communication education based on the role played by some dental hygiene students (치위생의사소통 교육에서의 역할극 수업에 대한 인식과 경험에 대한 연구)

  • Choi, Yong-Keum;Moon, Hee-Jung;Jeon, Hyun-Sun
    • Journal of Korean Dental Hygiene Science
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    • 제5권1호
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    • pp.1-11
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    • 2022
  • Background: This study aimed to examine the effectiveness of role-play in dental hygiene education by analyzing learners' perceptions and experiences of role-play classes. Methods: Role-play was used as a teaching method to run dental medical communication and practice classes for 31 3rd graders in the Department of Dental Hygiene to investigate the learner's perception of role-play classes, effectiveness of the classes, and learner's perception of the experience. The Mann-Whitney U test was used to analyze the differences in learners' perceptions of the role-play classes according to the main characteristics related to dental health communication education. Results: The correlation coefficient between awareness of dental communication education (4.74 ± 0.35) and awareness of role-play classes (4.44 ± 0.48) was an Rs of 0.634, showing a significant positive correlation (p<0.001). Conclusion: Learners recognized that dental hygiene communication competency is important for dental hygienists. In addition, a strategic teaching design is necessary to reduce the learner's burden on role-play considering the learner's experience, which is perceived as a disadvantage of role-play