Jin, Ung Sik;Chang, Hak;Minn, Kyung Won;Yi, Nam Joon;Suh, Kyung Suk
Archives of Plastic Surgery
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v.33
no.4
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pp.454-457
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2006
Purpose: The anastomosis of hepatic artery to recipient vessel has a major role in a liver transplantation, so its occlusion is the most important cause of failure of liver transplantations. We made the study to reveal the peculiarities in pediatric liver transplantations compared with adult cases. Methods: From January 1999 to September 2005, we performed 99 cases of pediatric liver transplantation. The mean age at operation was 4.17 years of age. The hepatic vein and portal vein are anastomosed by the general surgeons and then the hepatic artery is anastomosed by the plastic surgeons. The Doppler ultrasonography and computed tomography were used for postoperative checkup for hepatic artery patency. Results: There were no immediate complications, but hepatic arterial occlusion was developed in 3 cases (2.8%). In pediatric patients, the anastomosis of hepatic artery is more difficult than adults because of the rapid respiratory and pulse rate, the small vascular diameter, and the large gap of diameter difference between the recipient and the donor vessels. Conclusion: We could confirm that pediatric liver transplantations are relatively safe but long learning curve was needed.
KSII Transactions on Internet and Information Systems (TIIS)
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v.14
no.12
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pp.4682-4705
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2020
The Unmanned Aerial Vehicles (UAV) networks consisting of low-cost UAVs are very vulnerable to smart jammers that can choose their jamming policies based on the ongoing communication policies accordingly. In this article, we propose a novel cloud and edge-aided mobile communication scheme for low-cost UAV network against smart jamming. The challenge of this problem is to design a communication scheme that not only meets the requirements of defending against smart jamming attack, but also can be deployed on low-cost UAV platforms. In addition, related studies neglect the problem of decision-making algorithm failure caused by intermittent ground-to-air communication. In this scheme, we use the policy network deployed on the cloud and edge servers to generate an emergency policy tables, and regularly update the generated policy table to the UAVs to solve the decision-making problem when communications are interrupted. In the operation of this communication scheme, UAVs need to offload massive computing tasks to the cloud or the edge servers. In order to prevent these computing tasks from being offloaded to a single computing resource, we deployed a lightweight game algorithm to ensure that the three types of computing resources, namely local, edge and cloud, can maximize their effectiveness. The simulation results show that our communication scheme has only a small decrease in the SINR of UAVs network in the case of momentary communication interruption, and the SINR performance of our algorithm is higher than that of the original Q-learning algorithm.
Journal of the Korea institute for structural maintenance and inspection
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v.28
no.2
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pp.1-8
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2024
The expansion joint is installed to offset the expansion of the superstructure and must ensure sufficient gap during its service life. In detailed guideline of safety inspection and precise safety diagnosis for bridge, damage due to lack or excessive gap is specified, but there are insufficient standards for determining the abnormal behavior of superstructures. In this study, a data-based maintenance was proposed by continuously monitoring the expansion-gap data of the same expansion joint. A total of 2,756 data were collected from 689 expansion joint, taking into account the effects of season. We have developed a method to evaluate changes in the expansion joint-gap that can analyze the thermal movement through four or more data at the same location, and classified the factors that affect the superstructure behavior and analyze the influence of each factor through deep learning and explainable artificial intelligence(AI). Abnormal behavior of the superstructure was classified into narrowing and functional failure through the expansion joint-gap evaluation graph. The influence factor analysis using deep learning and explainable AI is considered to be reliable because the results can be explained by the existing expansion gap calculation formula and bridge design.
Lee, Jung Hwan;Han, In Ho;Kim, Dong Hwan;Yu, Seunghan;Lee, In Sook;Song, You Seon;Joo, Seongsu;Jin, Cheng-Bin;Kim, Hakil
Journal of Korean Neurosurgical Society
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v.63
no.3
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pp.386-396
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2020
Objective : To generate synthetic spine magnetic resonance (MR) images from spine computed tomography (CT) using generative adversarial networks (GANs), as well as to determine the similarities between synthesized and real MR images. Methods : GANs were trained to transform spine CT image slices into spine magnetic resonance T2 weighted (MRT2) axial image slices by combining adversarial loss and voxel-wise loss. Experiments were performed using 280 pairs of lumbar spine CT scans and MRT2 images. The MRT2 images were then synthesized from 15 other spine CT scans. To evaluate whether the synthetic MR images were realistic, two radiologists, two spine surgeons, and two residents blindly classified the real and synthetic MRT2 images. Two experienced radiologists then evaluated the similarities between subdivisions of the real and synthetic MRT2 images. Quantitative analysis of the synthetic MRT2 images was performed using the mean absolute error (MAE) and peak signal-to-noise ratio (PSNR). Results : The mean overall similarity of the synthetic MRT2 images evaluated by radiologists was 80.2%. In the blind classification of the real MRT2 images, the failure rate ranged from 0% to 40%. The MAE value of each image ranged from 13.75 to 34.24 pixels (mean, 21.19 pixels), and the PSNR of each image ranged from 61.96 to 68.16 dB (mean, 64.92 dB). Conclusion : This was the first study to apply GANs to synthesize spine MR images from CT images. Despite the small dataset of 280 pairs, the synthetic MR images were relatively well implemented. Synthesis of medical images using GANs is a new paradigm of artificial intelligence application in medical imaging. We expect that synthesis of MR images from spine CT images using GANs will improve the diagnostic usefulness of CT. To better inform the clinical applications of this technique, further studies are needed involving a large dataset, a variety of pathologies, and other MR sequence of the lumbar spine.
Journal of Agricultural Extension & Community Development
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v.13
no.1
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pp.149-171
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2006
This is a pilot study on rural women's psychological trap to define some obstacles to self directed learning. During few decades, according to major crop of each farm household has shifted from rice to other crops like as vegetables, fruits, horticultures, livestock, etc., women's role or labor sharing of women in farming has been also increased. Although women are important human resources, till now, there is no a research or an approach to rural woman on the view of individual human being. Therefore this study will contribute to understand woman's behavior or attitudes based on psychological description at each person's experiences. For this study, the data was collected from 23 women leaders who participated in a training course in 2005, through the scale of Jeffrey E. Young & Janet S. Klosko which was developed to improvement of one's repetitious behavior based on cognitive psychological care. It was categorized into 11types of psychological trap of one person, named as follows; (1) trap of being deserted by someone (2) trap of disbelief and being ill-treated (3) trap of weakness (4) trap of dependence (5) trap of emotional deprivation (6) trap of feelings of alienation among society (7) trap of deficiency (8) trap of anxiety to failure (9) trap of subordination (10) trap of the merciless standard by self-estimation (11) trap of the sense of privilege. From the data, the average age of subjects was 52.8years old, and the educational back of subjects was higher than general rural women. In both of the trap of weakness and the trap of the merciless standard by self-estimation, the ratio of over and 4 point score of 6 points was 71.4% and 76.2%. It means most of subjects have experienced fear of unexpected calamity(trap of weakness), and mental press hard for efforts to meet one's ideal standard(trap of the merciless standard by self-estimation). Especially the trap of the merciless standard by self-estimation may have relation with rural women's over burden from farming and local society activities.
The risk of project failure has increased recently as ERP systems have been transformed into Web environments and task complexity has increased. Although low-code platform development tools are being used as a way to solve this problem, limitations exist as they are centered on UI. To overcome this, back-end development tools are required that can be developed quickly and easily, not only from the front development but also from a variety of development sources produced from the ERP development process, including back-end business services. In addition, the development tools included within existing ERP products require a lot of learning time from the perspective of beginner and intermediate developers due to high entry barriers. To address these shortcomings, this paper seeks to study ways to overcome the limitations of existing development tools within the ERP by providing customized development tool functions by enhancing the usability of ERP development tools suitable for each developer's skills and roles based on the requirements required by ERP development tools, such as reducing the time required for querying, automatic binding of data for testing for service-based units, and checking of source code quality.
Journal of the Korea Academia-Industrial cooperation Society
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v.18
no.5
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pp.237-244
/
2017
This study examined the pathological phenomenon of smartphone addiction and prevention. The smartphone provides many conveniences but it also brings psychological and physical problems, such as failure of learning capacity, maladjustment, and impulsive actions. To provide actual proof, this material included correlation analysis among physical, verbal aggression and smartphone addiction factors through high school students. Using SPSSWIN 22.0, frequency analysis, mail factor analysis, T-test, correlation analysis, regression analysis were also included. The main factors of smartphone addiction discrimination were divided into 'aim for imaginary', 'daily obstacles', 'tolerance', 'withdrawal symptom'. Smartphone addicted group members show the result of r=0.668 (physical aggression), r=0.704 (verbal aggression), r=0.481 (hostility). (p< 0.001). This study focused on the aggression from smartphone overuse and the positive effect of music for adolescent's mind stability. Moreover, suggestions for constant research on the pathological phenomena from smartphone addiction and prevention programs are made.
The interest about 4th Industrial Revolution was impressively increased from newspapers, iindustry, government and academic sectors. Especially AI what could be felt by the skin of many peoples, already overpassed the ability of the human's even in creative areas. Namely, now many people start fo feel that the effect of the revolution is just infront of themselves. There were several issues in this trend, the ability of deep learning by machine, the identity of the human, the change of job environment and the concern about the social change etc. Recently many studies have been made about the 4th industrial revolution in many fields like as AI(artificial intelligence), CRISPR, big data and driverless car etc. As many positive effects and pessimistic effects are existed at the same time and many preventing actions are being suggested recently, these opinions will be compared and analyzed and better solutions will be found eventually. Several educational, political, scientific, social and ethical effects and solutions were studied and suggested in this study. Clear implication from the study is that the world we will live from now on is changing faster than ever in the social, industrial, political and educational environment. If it will reform the social systems according to those changes, a society (nation or government) will grasp the chance of its development or take-off, otherwise, it will consume the resources ineffectively and lose the competition as a whole society. But the method of that reform is not that apparent in many aspects as the revolution is progressing currently and its definition should be made whether in industrial or scientific aspect. The person or nation who will define it will have the advantage of leading the future of that business or society.
Park, Mee Rim;Ko, Jung Min;Cheon, Chong-Keun;Kim, Gu-Hwan;Yoo, Han-Wook
Clinical and Experimental Pediatrics
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v.51
no.11
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pp.1236-1240
/
2008
Smith-Lemli-Opitz syndrome (SLOS) is a rare, autosomal recessive disease caused by an inborn error in cholesterol synthesis. Patients with this disease suffer from multiple malformations due to reduced activity of 7-dehydrocholesterol reductase (DHCR7), which increases 7-dehydrocholesterol (7DHC) and 8-dehydrocholesterol (8DHC) concentrations and decreases cholesterol concentration in body fluids and tissue. The SLOS phenotypic spectrum ranges from a mild disorder with behavioral and learning problems to a lethal disease characterized by multiple malformations. Here, we describe a newborn male with ambiguous genitalia who was diagnosed to have type II SLOS during the neonatal period. A clinical examination revealed low levels of unconjugated estriol in the maternal serum, and a variety of fetal ultrasound anomalies, including prenatal growth retardation. After birth, the infant was diagnosed to have congenital heart disease (Tetralogy of Fallot with severe pulmonary artery stenosis), cleft lip and palate, micrognathia, postaxial polydactyly, ambiguous genitalia, and cataracts. Clinical investigation revealed extremely low plasma cholesterol levels and the presence of mutation (homozygote of p.Arg352Gln) in the DHCR7 gene. The patient underwent palliative heart surgery (to widen the pulmonary artery) and received intravenous lipid supplementation. Cholesterol levels increased slightly, but not to normal values. The patient died from cardiopulmonary failure and sepsis 72 days after birth. This report provides the first description of a Korean patient with SLOS confirmed by verification of DHCR7 gene mutation and illustrates the need for early recognition and appropriate diagnosis of this disease.
Purpose: The trend of highway traffic accidents shows a repeating pattern of increase and decrease, with the fatality rate being highest on highways among all road types. Therefore, there is a need to establish improvement measures that reflect the situation within the country. Method: We conducted accident severity analysis using Random Forest on data from accidents occurring on 10 specific routes with high accident rates among national highways from 2019 to 2021. Factors influencing accident severity were identified. Result: The analysis, conducted using the SHAP package to determine the top 10 variable importance, revealed that among highway traffic accidents, the variables with a significant impact on accident severity are the age of the perpetrator being between 20 and less than 39 years, the time period being daytime (06:00-18:00), occurrence on weekends (Sat-Sun), seasons being summer and winter, violation of traffic regulations (failure to comply with safe driving), road type being a tunnel, geometric structure having a high number of lanes and a high speed limit. We identified a total of 10 independent variables that showed a positive correlation with highway traffic accident severity. Conclusion: As accidents on highways occur due to the complex interaction of various factors, predicting accidents poses significant challenges. However, utilizing the results obtained from this study, there is a need for in-depth analysis of the factors influencing the severity of highway traffic accidents. Efforts should be made to establish efficient and rational response measures based on the findings of this research.
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