• Title/Summary/Keyword: Sun block

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Performance of a Chimney Drain in Reinforced Earth Wall for Reduction of Pore Water Pressure During Rainfall - a Numerical Investigation (보강토 옹벽에 적용되는 연직 배수시스템의 강우시 수압 저감 효과 - 수치해석 연구)

  • Yoo, Chung-Sik;Kim, Sun-Bin;Jung, Hyuk-Sang
    • Journal of the Korean Geotechnical Society
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    • v.24 no.5
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    • pp.99-106
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    • 2008
  • This study is concernsed with the effect of a chimney drainage system installed at the back of reinforced soil block on preventing the pore water pressure development. A series of finite-element analyses based on transient seepage analysis were performed for a number of cases with different patterns of the chimney drainage system. The results were thoroughly analyzed to get insight into the mechanism of pore water pressure reduction effect of the chimney drainage system. It is shown that a vertical drainage system installed at the back of reinforced zone can be an effective means of maintaining the wall stability during rainfall by preventing pore pressure increase in the reinforced as well as the backfill zones. Also shown is that the optimum height of the chimney drain is 50% of the wall height. Practical implications of the findings were discussed.

Ultrasonic Reflection Imaging for Discontinuity Detection of Rock Mass - Laboratory Study (암반 불연속면 탐측을 위한 초음파 반사 이미지 - 실내실험)

  • Lee, Jong-Sub;Kim, Seung-Sun;Kim, Dong-Hyun;Kim, Uk-Young;Lee, In-Mo
    • Journal of the Korean Geotechnical Society
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    • v.23 no.1
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    • pp.51-65
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    • 2007
  • The purpose of this study is the development and application of a high resolution ultrasonic wave imaging system to detect discontinuity plane in lab-scale rock models. This technique is based on received time series which capture the multiple reflections at interface. This study includes the fundamental aspects of ultrasonic wave propagation in rock mass, the selection of the optimal ultrasonic wave transducer, data gathering, a signal processing, imaging methods, and experiments. Experiments are carried out by the horizontal movement and rotation devices. Experimental studies show the discontinuity is well detected by the horizontal movement and rotation devices under water. Furthermore, the discontinuity and the cavity on the plaster block are identified by the rotation device. This study suggests that the new method may be an economical and effective tool for the detection of the discontinuity on rock mass.

Shear Behavior Characteristics of Interface between Two Concrete-blocks (콘크리트 블록 접촉면의 전단특성)

  • Lee, Seung-Hyun;Kim, Byoung-Il
    • Journal of the Korean Geotechnical Society
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    • v.24 no.6
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    • pp.69-75
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    • 2008
  • Shear tests were carried out on interface between two concrete eco-blocks which comprise segmental retaining wall. Three interface conditions were considered : 1) direct contact of two blocks, 2) placing rubber pad between two blocks, 3) placing rubber pad and shear key between two blocks. According to shear tests, shear load-shear displacement relationship which was obtained from direct contact of two blocks was similar to elastic-perfectly plastic behavior. Ductile behavior of shear load-shear displacement relationship was observed for the interface condition of placing rubber pad. Apparent minimum shear capacities and apparent friction angles for the interface conditions of direct contact of two blocks, placing rubber pad between two blocks, placing rubber pad and shear key were 1.7 kN/m, $27.6^{\circ}$ and 4.2 kN/m, $26.2^{\circ}$ and 20.9 kN/m, $26.0^{\circ}$ respectively.

A Slope Information Based Fast Mask Generation Technique for ROI Coding (관심영역 코딩을 위한 기울기 정보 기반의 빠른 마스크 생성 기법)

  • Park, Sun-Hwa;Seo, Yeong-Geon;Lee, Bu-Kweon;Kang, Ki-Jun;Kim, Ho-Yong
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.1
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    • pp.81-89
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    • 2009
  • To support dynamic Region-of-Interest(ROI) in JPEG2000, a fast ROI mask generation is needed. In the existing methods of ROI coding, after scanning all the pixels in order and discriminating ROI, an ROI mask has been generated. Our method scans 4 pixels of the corners in one code block, and then based on those informations, scans the edges from the corners to get the boundaries of ROI and background. These informations are consisted of a distributed information of ROI and two coordinates of the pixels, which are the points the edges and the boundaries meet. These informations are transmitted to encoder and supported for fast ROI mask generation. There were no great differences between the proposed method and the existing methods in quality, but the proposed method showed superiority in speed.

A ResNet based multiscale feature extraction for classifying multi-variate medical time series

  • Zhu, Junke;Sun, Le;Wang, Yilin;Subramani, Sudha;Peng, Dandan;Nicolas, Shangwe Charmant
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.16 no.5
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    • pp.1431-1445
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    • 2022
  • We construct a deep neural network model named ECGResNet. This model can diagnosis diseases based on 12-lead ECG data of eight common cardiovascular diseases with a high accuracy. We chose the 16 Blocks of ResNet50 as the main body of the model and added the Squeeze-and-Excitation module to learn the data information between channels adaptively. We modified the first convolutional layer of ResNet50 which has a convolutional kernel of 7 to a superposition of convolutional kernels of 8 and 16 as our feature extraction method. This way allows the model to focus on the overall trend of the ECG signal while also noticing subtle changes. The model further improves the accuracy of cardiovascular and cerebrovascular disease classification by using a fully connected layer that integrates factors such as gender and age. The ECGResNet model adds Dropout layers to both the residual block and SE module of ResNet50, further avoiding the phenomenon of model overfitting. The model was eventually trained using a five-fold cross-validation and Flooding training method, with an accuracy of 95% on the test set and an F1-score of 0.841.We design a new deep neural network, innovate a multi-scale feature extraction method, and apply the SE module to extract features of ECG data.

Factors Influencing Suicide Methods in Gyeonggi-do Suicide Deceased: Based on the 5-year (2016~2020) Suicide Death Data Analysis (경기도 자살사망자의 자살방법에 영향을 미치는 요인 -5개년(2016~2020년) 자살사망자 자료 분석을 바탕으로-)

  • Kim, Jung Sug;Sun, Min Jung;Chun, You Jin
    • Journal of East-West Nursing Research
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    • v.29 no.2
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    • pp.129-140
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    • 2023
  • Objectives: Suicide rate in South Korea is one of the major public health concerns. This study examined the factors influencing the suicide methods of people who committed suicide in Gyeonggi-do, which accounts for one-fourth of the population of South Korea. Methods: This study analyzed the data of a total of 13,945 suicide deaths in Gyeonggi-do over a five-year period (2016-2020) provided by the Statistics Korea and the influence of social and demographic characteristics on the analyzed suicide methods. The differences in suicide methods according to the social and demographic characteristics of suicide victims were compared and analyzed through chi-squared, and items with significant differences in univariate tests were analyzed by multiple logisitic regression analysis. Results: Among suicide deaths, the most common method of suicide was hanging (52.4%). In particular, women, were employed, and stayed at home were higher risk of being hanged. The second most common method of suicide was leaping (17.7%). Women under the age of 30, those with a college degree or higher, those who were not working, time of death (6-12), and those outside the home were more likely to choose to take the leap. The third most common method of suicide was gas poisoning (15.8%). Young people under the age of 65, college graduates or higher, without a spouse, were employed, and spring season were at increased risk of choosing gas poisoning. Conclusions: The results highlight the need for policies that consider risk factors such as gender, age, education, marital status, employments status, time of suicide, and place of suicide in order to block access to suicide methods for suicide victims in Gyeonggi-do.

Immunotherapy for Non-small Cell Lung Cancer: Current Landscape and Future Perspectives

  • Sun Min Lim;Min Hee Hong;Hye Ryun Kim
    • IMMUNE NETWORK
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    • v.20 no.1
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    • pp.10.1-10.14
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    • 2020
  • Immune checkpoint inhibitors (ICIs) have shown remarkable benefit in the treatment of patients with non-small-cell lung cancer (NSCLC) and have emerged as an effective treatment option even in the first-line setting. ICIs can block inhibitory pathways that restrain the immune response against cancer, restoring and sustaining antitumor immunity. Currently, there are 4 PD-1/PD-L1 blocking agents available in clinics, and immunotherapy-based regimen alone or in combination with chemotherapy is now preferred option. Combination trials assessing combination of ICIs with chemotherapy, targeted therapy and other immunotherapy are ongoing. Controversies remain regarding the use of ICIs in targetable oncogene-addicted subpopulations, but their initial treatment recommendations remained unchanged, with specific tyrosine kinase inhibitors as the choice. For the majority of patients without targetable driver oncogenes, deciding between therapeutic options can be difficult due to lack of direct cross-comparison studies. There are continuous efforts to find predictive biomarkers to find those who respond better to ICIs. PD-L1 protein expressions by immunohistochemistry and tumor mutational burden have emerged as most well-validated biomarkers in multiple clinical trials. However, there still is a need to improve patient selection, and to establish the most effective concurrent or sequential combination therapies in different NSCLC clinical settings. In this review, we will introduce currently used ICIs in NSCLC and analyze most recent trials, and finally discuss how, when and for whom ICIs can be used to provide promising avenues for lung cancer treatment.

Comparison of international medical costs for interventional pain treatment: a focus on Korea and Japan

  • Eun Young Lee;Hyung-Sun Won;Miyoung Yang;Hyungtae Kim;Yeon-Dong Kim
    • The Korean Journal of Pain
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    • v.37 no.1
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    • pp.51-58
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    • 2024
  • Background: The rise in national health care costs has emerged as a global problem given the ever-aging population and rapid development of medical technology. The utilization of interventional pain management has, similarly, shown a continued rise worldwide. This study evaluates the differences in the medical costs in the field of interventional pain treatment (IPT) between two countries: Korea and Japan. Methods: Korean medical insurance costs for 2019 related to pain management focused on IPT were compared to those of Japan. Purchasing power parity (PPP) was used to adjust the exchange rate differences and to compare prices in consideration of the respective societies' economic power. Results: The cost of trigger point injections in Japan was 1.06 times higher than that of Korea, whereas the perineural and intraarticular injection prices were lower in Japan. The cost of epidural blocks was higher in Japan compared to Korea in both cervical/thoracic and lumbar regions. As for blocks of peripheral branches of spinal nerves, the cost of scapular nerve blocks in Japan was lower than that in Korea, given a PPP ratio 0.09. For nerve blocks in which fluoroscopy guidance is mandatory, the costs of epidurography in Japan were greater than those in Korea, given a PPP ratio 1.04. Conclusions: This is the first comparative study focusing on the medical costs related to IPT between Korea and Japan, which reveals that the costs differed along various categories. Further comparisons reflecting more diverse countries and socio-economic aspects will be required.

New insight into the vasto-adductor membrane for safer adductor canal blockade

  • Yanguk Heo;Miyoung Yang;Sung Min Nam;Hyun Seung Lee;Yeon-Dong Kim;Hyung-Sun Won
    • The Korean Journal of Pain
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    • v.37 no.2
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    • pp.132-140
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    • 2024
  • Background: This study aimed to identify exact anatomical landmarks and ideal injection volumes for safe adductor canal blocks (ACB). Methods: Fifty thighs from 25 embalmed adult Korean cadavers were used. The measurement baseline was the line connecting the anterior superior iliac spine (ASIS) to the midpoint of the patellar base. All target points were measured perpendicular to the baseline. The relevant cadaveric structures were observed using ultrasound (US) and confirmed in living individuals. US-guided dye injection was performed to determine the ideal volume. Results: The apex of the femoral triangle was 25.3 ± 2.2 cm distal to the ASIS on the baseline and 5.3 ± 1.0 cm perpendicular to that point. The midpoint of the superior border of the vasto-adductor membrane (VAM) was 27.4 ± 2.0 cm distal to the ASIS on the baseline and 5.0 ± 1.1 cm perpendicular to that point. The VAM had a trapezoidal shape and was connected as an aponeurosis between the medial edge of the vastus medialis muscle and lateral edge of the adductor magnus muscle. The nerve to the vastus medialis penetrated the muscle proximal to the superior border of the VAM in 70% of specimens. The VAM appeared on US as a hyperechoic area connecting the vastus medialis and adductor magnus muscles between the sartorius muscle and femoral artery. Conclusions: Confirming the crucial landmark, the VAM, is beneficial when performing ACB. It is advisable to insert the needle obliquely below the superior VAM border, and a 5 mL injection is considered sufficient.

Crime Incident Prediction Model based on Bayesian Probability (베이지안 확률 기반 범죄위험지역 예측 모델 개발)

  • HEO, Sun-Young;KIM, Ju-Young;MOON, Tae-Heon
    • Journal of the Korean Association of Geographic Information Studies
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    • v.20 no.4
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    • pp.89-101
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    • 2017
  • Crime occurs differently based on not only place locations and building uses but also the characteristics of the people who use the place and the spatial structures of the buildings and locations. Therefore, if spatial big data, which contain spatial and regional properties, can be utilized, proper crime prevention measures can be enacted. Recently, with the advent of big data and the revolutionary intelligent information era, predictive policing has emerged as a new paradigm for police activities. Based on 7420 actual crime incidents occurring over three years in a typical provincial city, "J city," this study identified the areas in which crimes occurred and predicted risky areas. Spatial regression analysis was performed using spatial big data about only physical and environmental variables. Based on the results, using the street width, average number of building floors, building coverage ratio, the type of use of the first floor (Type II neighborhood living facility, commercial facility, pleasure use, or residential use), this study established a Crime Incident Prediction Model (CIPM) based on Bayesian probability theory. As a result, it was found that the model was suitable for crime prediction because the overlap analysis with the actual crime areas and the receiver operating characteristic curve (Roc curve), which evaluated the accuracy of the model, showed an area under the curve (AUC) value of 0.8. It was also found that a block where the commercial and entertainment facilities were concentrated, a block where the number of building floors is high, and a block where the commercial, entertainment, residential facilities are mixed are high-risk areas. This study provides a meaningful step forward to the development of a crime prediction model, unlike previous studies that explored the spatial distribution of crime and the factors influencing crime occurrence.